Second International Conference on Power Engineering ...vitpeccon.com/images/PECCON2019Souvenir.pdf · Dr. Sandhya Pentareddy Executive Director VIT Chennai [xii] Second International

Second International Conference on Power Engineering Computing and CONtrol (PECCON-2019) 12

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th December.2019

Second International Conference

on

Power Engineering Computing and

Control

PECCON- 2019

12th – 14th December, 2019

SOUVENIR

Organised by

School of Electrical Engineering (SELECT)

Vellore Institute of Technology

Vandalur-Kelambakkam Road,Chennai-600 127


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Souvenir of International Conference on Power Engineering Computing and Control,

December 12-14, 2019, VIT Chennai

The opinions expressed by the authors are their own and editors cannot accept any legal responsibility or

liability for the views of authors, any omission or inadvertent errors.

[iii]


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About Vellore Institute of Technology

VIT for the past 30 years has made a mark in the field of higher education in India imparting

quality education in a multi-cultural, intertwined with extensive application-oriented

research.VIT was established with the aim to provide quality higher education on par with

international standards. It persistently seeks and adopts innovative methods to improve the

quality of higher education on a consistent basis. Established by well-known educationalist and

Former Parliamentarian, Dr. G. Viswanathan, Founder and Chancellor, a visionary who

transformed VIT into a center of excellence in higher technical education. VIT Chennai is ably

spearheaded by Dr. Sekar Viswanathan, Vice President, Dr. Anand A. Samuel, Vice

Chancellor and Dr. V.S.Kanchana Bhaaskaran, Pro-Vice Chancellor of VIT Chennai. They

share in the mission to make VIT a global center. The focus is:

To create the Centers of Excellence in niche areas of research

To enrich Technological and Managerial human Capital nurtured in a multi-cultural

ambiance

To provide a common platform for the agglomeration of ideas of personnel from various

walks of life for learning enrichment

To create opportunities and exploit the available resources to benefit industry/society

To encourage participation in the National Agenda of knowledge building

To foster International Collaborations for mutual benefits in areas of research.

[iv]


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About SELECT

In VIT Chennai, the School of Electrical Engineering (SELECT) was established in the year

2010. Since the inception of the Institute, the department developed the state of art infrastructure

for teaching and research. To mention, Smart Grid lab is unique of its kind in the country. The

school has highly qualified and experienced faculty. The school offers B.Tech. program in

Electrical and Electronics Engineering, M.Tech. program in Power Electronics and Drives,

M.Tech.(by Research) and Ph.D. program. There are four major research groups: Power

Systems, Power Electronics, Control and Instrumentation and Electrical Machines and Drives.

The research findings of these groups are published in several peer reviewed International

Journals with high impact factor. The school has always endeavoured to contribute significantly

to the growth of technical education. The school has organized several workshops, seminars and

guest lectures for the benefit of faculty, students and research scholars of educational institutions

in and around the region. The School has also signed MoU with various industries for

collaborative works. Eminent professors from reputed Indian and Foreign Universities share their

expertise for the benefit of the students.

[v]


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Conference Organizing Committee

Patrons : Dr. G. Viswanathan, Founder & Chancellor, Vellore Institute of

Technology

Mr. Sankar Viswanathan, Vice President, Vellore Institute of Technology

Dr. Sekar Viswanathan, Vice President, Vellore Institute of Technology

Mr. G. V. Selvam, Vice President, Vellore Institute of Technology

Dr. Anand A. Samuel, Vice Chancellor, Vellore Institute of Technology

Dr. V. S. Kanchana Bhaaskaran, Pro-Vice Chancellor, Vellore Institute of

Technology, Chennai

Convener : Dr. A. PeerFathima, Professor & Dean, School of Electrical Engineering,

Vellore Institute of Technology, Chennai

Organisers : Dr. S. Hemamalini, Professor, School of Electrical Engineering, Vellore

Institute of Technology, Chennai

Dr. K. Jamuna, Associate Professor, School of Electrical Engineering,


[vi]


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International Advisory Board

Dr. K. M. Abubucker, Caledonian college of Engineering, Oman, Muscat

Dr. Ahmed Ali A. Mohamed, City University of New York, USA

Dr. Akhtar Kalam, Victoria University, Australia

Dr. Apel Mahmud, Deakin University, New Zealand

Dr. A. Arunagiri, Yanbu Industrial College, Saudi Arabia

Dr. Arunachalam, Jubail Industrial college, Saudi Arabia

Dr. Jahangir Hossain, Macquarie University, Australia

Dr. R. Jayashri Ravisankar, University of South Wales, Australia

Dr. Muhibul Haque Bhuyan, Southeast University, Dhaka, Bangaladesh

Dr.Stella Morris, University of Tunku Abdur Rahman, Malaysia

[vii]


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National Advisory Board

Dr. N. Ammasai Gounden, National Institure of Technology, Trichy

Dr. S. Chandra Mohan, College of Engineering, Anna University, Chennai

Dr. B. Chitti Babu , IIITD&M, Kancheepuram

Dr. A. V. Giridhar, National Institute of Technology, Warangal

Dr. V. Jamuna, College of Engineering, Guindy, Anna Univeristy

Dr. A. Kavitha, College of Engineering, Guindy, Anna Univeristy

Dr. K. Mamallan, CPCL, Chennai

Dr. R. Rajathy, Pondicherry Engineering College, Pondicherry

Dr K. Selvajyothi, IIITDM, Chennai

Dr. M. P. Selvan, National Institure of Technology, Trichy

Dr. G. Sivakumar, National Institute of Technology, Warangal

Dr. S. Sivasubramani, IIT Patna, Bihar

Dr. K. S. Swarup, IIT Madras, Tamil Nasu

Dr. T. Thiagarajan, MIT, Anna University, Chennai

Dr. G. Uma, College of Engineering, Guindy, Anna Univeristy

[viii]


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Sub Committees

Committee Members

Publication Dr. S. Krithiga

Dr. R. Gunabalan

Dr. G. Kanimozhi

Prof. P. Sriramalakshmi

Finance & purchase Dr.Iswaya Annapoorni

Prof. Nilanjan Tewari

Sponsorship & Industry Partnership Dr. Nithya Venkatesan

Dr. Sri Revathi B

Dr. R. Jayapragash

Prof. R. Srimathi

Pre-Conference workshop (PROPOSAL) Dr. T Deepa

Dr. Subbulakshmi D

Website, Brochure and Printing Dr. G. Angeline Ezhilarasi

Prof. S. Kuruseelan

Exhibits Committee Dr. Chendur Kumaran R

Publicity & Public Relation Dr. C. Umayal

Prof. P. Balamurugan

Prof. Meenakshi J

Hospitality Dr. A. Mohamed Imran

Prof. V. Anantha Krishnan

Stalls Incharge Dr. N. C. Lenin

Prof. Lavanya V

Easy Chair Dr. J. L. Febin Daya

Prof Meera P S

Printing Dr. R. Arul

Dr. A. Mohamed Imran

Session Chairs

Dr.Prabhakar M

Dr..Binu Ben Jose

Dr.V Sumathi

Dr.C. Vaithilingam

Dr.N Senthil Kumar

Dr. L. Premalatha

Content writing Dr. Gnana Swathika

[ix]


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MESSAGE FROM CHANCELLOR

I am happy to learn that the 2

nd International Conference on Power Engineering Computing and Control-

PECCON 2019 with the theme “Smart Technology for Smart Grid” is held from 12-14th December 2019.

The domain of power engineering are inextricable from our everyday lives. An average person, from the

time he/she wakes up till he/she goes to bed, is impacted by technological marvels that make his/her life

all the more easier, simpler and better. Owing to its ubiquitous nature, technology is becoming less

complicated and less expensive. While this is largely good, man’s overdependence on technology brings

with it a host of other issues such as the degradation of the environment and abuse of technology for

wrong ends. As with any other issue, technology also has two sides. Humans need to be more responsible

in the choices they make with technology if the quality of life has to be enhanced.

Innovation is the buzzword in today’s world of fierce competition, as each individual or organization

strives to be innovative to stand out from the crowd. Taking a cue from this, the present generation should

be innovative in using technology wisely and responsibly. David Ross Brower, the famous

environmentalist wrote, “we don’t inherit the earth from our ancestors, we borrow it from our children”.

Modern scientists and technologists have the onus of handling over the Earth safely to the future

generations.

I am confident that PECCON 2019 Conference would emerge as an appropriate platform for discussing

and debating issues on these lines. If the Conference sets you thinking on how to innovative wisely and

responsibly. I am sure it would have met its objective ethically strong scientists and technocrats.

I Congratulate the Organisers, the event coordinators and the school coordinators on their efforts in

organizing this conference successfully. My best wishes to all delegates.

I wish the Conference all success.

With best wishes.

Dr.G.Viswanathan

Chancellor.

[x]


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MESSAGE FROM VICE PRESIDENT

My warm greetings to all!

It is time for the second edition of the biennial conference from School of Electrical Engineering.

2nd International Conference on Power Engineering Computing and Control -PECCON 2019

scheduled from 12th

to 14th

December 2019 is based on the theme “Smart Technology for Smart

Grid” and is held in association with the Binghamton University, USA as the Knowledge and

Technology partner.

Smart grid integrated with renewable energy is the first step towards creating futuristic smart

cities and electrifying remote locations. Smart grid is an interdisciplinary platform for researchers

to dwell and find appreciable outcomes that are profusely useful for urban planners,

implementing authorities and technical professionals. Therefore, this International Conference

will throw a wonderful platform for the brainstorming sessions to realize the objectives of how

smart technologies can be inculcated for smart grids.

I congratulate the organizers on their efforts in making this biennial conference a grand success.

With warm regards,

Dr. Sekar Viswanathan

Vice President

VIT Chennai

[xi]


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MESSAGE FROM EXECUTIVE DIRECTOR

I am delighted that School of Electrical Engineering is organizing the 2nd International

Conference on Power Engineering Computing and Control -PECCON 2019 scheduled from 12th

to 14th

December 2019 in association with the Binghamton University, USA as their Knowledge

and Technology partner.

“Smart technology for Smart Grid” is an impressive theme of the hour. This theme obviously

provides an interdisciplinary platform for researchers to dive into discussions that will create

outcomes that are required for the improvement of society and living in the long run. I am sure

this international conference will enable researchers to intertwine and integrate different areas of

research and to come up with findings that will be useful for mankind.

I congratulate the organizers on their efforts in making this biennial conference a grand success.

With warm regards,

Dr. Sandhya Pentareddy

Executive Director

VIT Chennai

[xii]


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MESSAGE FROM VICE CHANCELLOR

I am delighted to note that School of Electrical Engineering, VIT Chennai is organizing the first

International Conference of Power Engineering Computing and CONtrol ( PECCON -2019)

during 12th

– 14th

Dec 2019 in association with Binghamton Unitversity, USA as the knowledge

and technology partner. It is expected that, more than 100+ research papers will be presented by

the researchers all around the globe. The key notes, discussions and presentations will deep dive

and align itself towards an interesting topic on: Smart Technology for Smart Grid.

I wish to congratulate the SELECT team in VIT Chennai campus for their commendable work.

May their conference kindle the inquisitiveness of every student at VIT and make them leaders of

tomorrow.

May God Bless !

[xiii]


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MESSAGE FROM PRO-VICE CHANCELLOR

I am happy to learn that the 2nd International Conference on Power Engineering Computing and

Control -PECCON 2019 is held during 12th

-14th

December 2019 with the theme “Smart

Technology for Smart Grid”. PECCON 2019 is a biennial conference that provides platform for

researchers from various parts of India and abroad to present their findings to the scientific

community towards knowledge dissemination.

The befitting PECCON 2019 conference theme of “Smart Technology for Smart Grid” includes

categories not limited to Sustainable Energy Technologies, Power Engineering, Electric Vehicle,

Data Science and Analytics, ICT technologies for Renewable energy, Economic and

Environmental impacts of Renewable energy generation and Smart Eco Structures and System in

addition to all contemporary areas related. The interdisciplinary nature of smart grid provides a

tremendous platform for researchers to dwell upon and interact. The research outcomes further

contribute to the development of future technologies. The conference participants will discuss on

the type of technologies which will be used at home, city, agriculture, health care, environment,

market, space, industry and society beyond 2020.

I congratulate the organizers of the PECCON 2019 for their sincere efforts to bring the

researchers across the globe together. I wish all the participants to actively take part in the

conference, and I also trust that they will have the opportunity to acquire knowledge and share

their ideas. I congratulate and wish the team PECCON 2019 a grand success.

Pro Vice Chancellor,

VIT Chennai,

Vandalur- Kelambakkam road,

Chennai 600127. [xiv]


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MESSAGE FROM DEAN

I am happy to be the convener of the 2nd International Conference on Power Engineering

Computing and Control -PECCON 2019 which is based on the theme “Smart Technology for

Smart Grid” is held on 12th

-14th

December 2019. PECCON 2019 is a biennial conference

organized by the School of Electrical Engineering (SELECT) with the notion of targeting

different forte of smart grid and its interdisciplinary dimensions.

The purpose of this conference is to provide a forum to committed academicians, eminent

researchers, scholars & students from across the globe to deliberate and disseminate different

components of Smart Grid. The Convention will also include networking sessions, keynote

speeches and paper presentations. The conference has received a huge response with 150+

research papers out of which we have accepted 100+ papers for presentation.

I am confident that researchers from academia and industry will brainstorm together to provide a

platform for initiating collaborative research projects. I congratulate the organizers of PECCON

2019 for their sincere efforts to bring the researchers across globe together. I wish all the

participants and also congratulate the PECCON 2019 team for their strenuous efforts to make this

event a grand success.

Dean, School of Electrical Engineering,

VIT Chennai,

Vandalur- Kelambakkam road,

Chennai-600127.

[xv]


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MESSAGE FROM CHIEF GUEST

Energy is a key input towards raising the standard of living of citizens and economic growth of a

nation. Sustainability of energy supply in an environmental friendly manner is the need of the

hour. Energy in the form of electricity has the potential to facilitate sustainable development

through harnessing renewable energy in a cost effective manner. Global focus is on Renewable

energy supply. At the same time, reliability and quality of supply is of paramount importance in

the modern society.

Towards energy security, latest technological deployment in the form of Smart Grid including

Renewable Integration, Real Time Monitoring and Control, Automation, Big Data Analytics, E-

mobility etc. is expected to play a critical role. Deployment of remote monitoring system

integrated with automation will enhance the system visualization and facilitate in better

situational awareness. In addition, emerging society requires smart eco-structures in the form of

waste and water management, energy efficiency, surveillance system, health and education

services, etc. as a part of the sustainable and resilient cities.

It is great to know that this conference on Power Engineering Computing and Control is being

organized by VIT Chennai to deliberate on the emerging areas to meet future requirement of

society with efficiency and affordability. During these three (3) days international event,

academicians and experts from leading industries would be sharing their experiences on latest

technologies and developments. I am sure that this event will provide opportunity for delegates

to explore emerging trends in dealing with the upcoming challenges to meet future energy

demand.

Best wishes for the success of this event on 12-14 Dec’19 and for all the future endeavors of the

VIT Chennai in promoting research and demonstration of various emerging technology for

growth of our nation.

Sd/-

Dr. Subir Sen

COO (CTU Planning & Smart Grid)

POWERGRID

[xvi]


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Editorial

Rapid progress and transformations in engineering field have largely been responsible for the

comfortable life and safety of human beings. Innovative ideas and inventions from across the globe

need to be shared and discussed for their pros, cons and sustainability. Recent technological

challenges emphasize the need for coordinated work among engineers from as many streams as

possible in order to enhance the comfort of mankind. The dream to create smart cities for the future

generation is one such huge challenge. Facing this big task requires huge investments, assessment on

technological viability and enhanced manufacturing ability of the nation. This necessitates interaction

among researchers, manufacturers, scientists and budding entrepreneurs around the globe.

Second International Conference on Power Engineering, Computing and CONtrol, PECCON 2019

provides a forum for practicing professionals, academicians, research scholars and students to

exchange their innovative ideas, inferences and knowledge gathered through rigorous experiments.

The main theme of PECCON 2019 is “Smart technology for smart grid”. We got huge response

and received about 200 papers. All papers were subjected to peer review process and finally 108

papers are finding place in the proceedings.

We wish to thank all the authors, reviewers, sponsors, and invited speakers, members of advisory

board and organizing team, student-volunteers and all other who have contributed in the successful

organization of the conference.

[xvii]


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Invited Talks


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Keynote Speeches

Keynote Speaker Title Date & Time

Dr.Ning Zhou,

Associate Professor,

Binghamton University, USA

POWER SYSTEM STATE

ESTIMATION UNDER HIGH

UNCERTAINTY AND VARIATION

13th

December 2019

9.00 am – 10.00 am

Dr.Yong Wang,

Assistant Professor,


PEER-TO-PEER ENERGY

TRADING IN A MICROGRID

BASED ON ITERATIVE DOUBLE

AUCTION AND BLOCKCHAIN

12th

December 2019

3.15 pm - 4.00 pm

Dr. Soongeol Kwon, Assistant

Professor, Binghamton

University, USA

OPTIMAL HVAC CONTROL FOR

DEMAND RESPONSE BASED ON

TWO-STAGE STOCHASTIC

PROGRAM

13th

December 2019

2.00 pm – 3.00 pm

Dr.Ziang “John” Zhang,

Assistant Professor,


CHALLENGES AND

OPPORTUNITIES OF

STABILIZING THE HYBRID

POWER GRID

14th

December 2019

9.00 am – 10.00 am

Dr.Narottam Das, Professor,

CQ University, Australia

ICT TECHNOLOGIES FOR

RENEWABLE ENERGY SOURCES

13th

December 2019

10.15 am - 11.15 am

Mr. Manimaran

Group manager- Microgrids

ABB Grid edge /Substation

automation Solutions Business

EMERGING TRENDS AND

PROJECT EXPERIENCE SHARING

ABOUT MICROGRIDS & BATTERY

ENERGY SOLUTIONS

12th

December 2019

11.00 am – 12.30 pm

Mr.K.Karthikeyan,

Chief Engineering Manager,

Larsen & Toubro Construction,

Chennai

SMART AIRPORT DESIGNS 14th

December 2019

10.15 am – 11.15 am

[xix]


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OPTIMAL HVAC CONTROL FOR DEMAND RESPONSE BASED ON TWO-

STAGE STOCHASTIC PROGRAM

Dr. Soongeol Kwon

Assistant Professor

Department of Systems Science and Industrial Engineering

Binghamton University

Because the huge energy consumption in buildings causes issues with significant energy cost

and potential CO2 emission, there have been tremendous efforts to improve energy efficiency

and sustainability in building energy management (BEM). Given this context, demand response

(DR) has been considered a promising solution for buildings to reduce energy cost by adjusting

electricity consumption patterns in response to time-varying rates offered by independent

system operators and utility companies. In addition, as photovoltaic (PV) panels have become

more affordable and accessible, buildings have been regarded as a suitable application of

leveraging co-located solar power generation because they can use their roof space for PV

panels. In this case, DR can also be integrated with the solar power generation to allow

buildings to use clean renewable energy. For the aforementioned opportunities, this study is

typically interested in the application of DR to building energy management via heating,

ventilation and air conditioning (HVAC) controls and intends to develop an optimization model

to adjust HVAC operations to minimize energy cost in response to time-varying rates and

intermittent solar power generations. In particular, this study proposes a two-stage stochastic

program formulated to find an optimal HVAC schedule while ensuring desired thermal comfort

against the stochastic nature of time-varying rates, solar power generation, and weather

conditions. Numerical experiments are conducted to evaluate the proposed approach compared

with the benchmark models comprised of the conventional thermostat controls.

[xx]


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POWER SYSTEM STATE ESTIMATION UNDER HIGH UNCERTAINTY

AND VARIATION

Dr. Ning Zhou

Associate Professor

Electrical and Computer Engineering Department

Watson School of Engineering & Applied Science, Binghamton University

To make well-informed decisions, power system operators need an accurate real-time estimator

of the states of the operational conditions of the power grid. Up to the present time,

conventional static state estimators have been widely deployed in utility control centers to

improve the estimation accuracy and expand the monitoring areas. However, these estimators

are no longer sufficient for monitoring the modern power grid, which is experiencing increasing

uncertainty and variation driven by the high penetration of intermittent renewable (especially

solar and wind) generation. In fact, conventional static state estimation methods for power grids

often fail in providing any useful information during transmission-line tripping and cascading

grid failures when the power system rapidly changes, and state estimation results are crucially

needed. To overcome the drawback of the convention state estimation, a dynamic state

estimation (DSE) approach is proposed that can not only estimate current operational conditions

but also predict their future trends, and quantify their uncertainty. To implement the DSE, the

extended Kalman filter, ensemble Kalman filter (EnKF), unscented Kalman filter and particle

filters are implemented and tested. It was found that the EnKF can achieve the desired balance

in computation time and estimation accuracy. To mitigate the negative impacts of the system’s

non-linearity on the estimation accuracy, an adaptive tuning method is proposed to adjust

covariance matrices of noise. To achieve the balance between computation complexity and

estimation accuracy, an adaptive interpolation method is proposed to dynamically adjust the

interpolation factor.

It is shown that the proposed methods can leverage the phasor measurement unit (PMU) data to

effectively and timely estimate the dynamic states of the power grid.

[xxi]


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CHALLENGES AND OPPORTUNITIES OF STABILIZING THE HYBRID

POWER GRID

Dr. Ziang John Zhang

Assistant Professor

Electrical and Computer Engineering

Binghamton University

New York State is in the top five states of distributed energy installations with significant

potential for additional rooftop photovoltaic (PV) and small-scale Combined Heat and Power

(CHP) systems. However, the high penetration of Distributed Energy Resource (DER)

generation also introduces unprecedented levels of variation and uncertainty into the power

grid. For example, the power output forecast error of a PV system can be as high as 54.44% on

a cloudy day. The problem becomes especially challenging for New York State due to its large

number of cloudy days. From the utilities’ perspective, the rapid changes of sub-utility-scale

DER generation may incur rapid variation of voltages at feeders and substations. Integrating

energy storage systems with DER generation is one of the promising solutions. However, there

are two main challenges: the high levelized cost of energy storage system makes the storage-

related solution less economically attractive to consumers; many geographically distributed

inverter-controlled DERs makes it difficult for utilities to coordinate their contributions and

maintain the voltage stability.

To address and resolve the challenges from both the power grid side and end consumer side, a

low-cost active DER system is will be introduced in this talk. The goals are: (1) to share a

control and management schemes for the low-cost active DER system; (2) to demonstrate the

performance and life degradation of different storage system configurations. Different

configurations are evaluated with real-time PV generation profiles. The system is designed for

sub-utility-scale applications such as commercial buildings or multifamily buildings. The

system is a software-defined system that is programmable to respond to particular needs of

consumers and utilities, and scalable to span a wide range of peak power production common in

sub-utility-scale DER systems.

[xxii]


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Peer-to-Peer Energy Trading in a Microgrid based on Iterative Double

Auction and Blockchain

Dr.Yong Wang,

Assistant Professor


The research and construction of microgrids provide the possibility of effective use of

distributed energy resources (DERs), where electricity is generated and consumed locally. Peer-

to-Peer (P2P) energy trading in microgrids helps to create a totally competitive and autonomous

market and brings benefits to both the market participants and utility companies. A P2P energy

trading model based on iterative double auction is proposed in this research. The iterative

double auction mechanism is used to elicit hidden information from all participants to achieve

maximum social welfare, where buyers and sellers adjust quotes to better individual profits

according to previous individual transaction volumes and the market equilibrium price, without

much knowledge about the market itself. The optimal allocation of the energy and market

equilibrium is obtained and verified. Numerical examples are used to illustrate the feasibility

and validity of the proposed iterative double auction algorithm. The example results show that

the average hourly social welfare for the proposed iterative double auction algorithm is 22.3%

higher over the zero-intelligence strategy.

[xxiii]


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PROGRAM SCHEDULE

Session: 1

Date: 12/12/2019 Time: 1.30-3.00pm Venue: AB I Nethaji Auditorium 7th Floor

Session Chairs: Dr. Senthilkumar N, Dr. Subbulekshmi D, Dr.Vijayakumar K, IIITDM

Session In-charge: Dr.Senthilkumar

[xxiv]

Sl.

No.

Pape

r ID

Title and Authors

1 16 Z-Source Inverter Based DVR using wind generator as a source for storage

unit B Durai Babu and Dr.P.Murugesan

2 17 A Novel Index Method for Distributed Generator Placement in a Radial

Distribution System Using Pandapower Python Module

Thasnimol C M and Rajathy R

3 20 Simulation and Analysis of a Voltage Control Strategy for Single Stage

AC-AC Converter

Jamna A, Sujatha R and Dr.Jamuna V

4 27 Performance improvement for PV based Distributed Generation using

IPQC for IEEE 5 Bus system with power factor correction

Dr.P.Velmurugan, Dr.V.Vasan Prabhu, Mr.S.Sridharan, and Ms.P.Aruna

5 29 Predicting Wind Turbine Blade Fault Condition to Enhance Wind Energy

Harvest through Classification via Regression Classifier

A. Joshuva, M. Arjun, R. Murugavel, V. A. Shridhar, G. S. Sriram Gangadhar,

and S. S. Dhanush

6 31 Implementing PV Energized SRSPM Based Single Phase Inverter for

Induction Motor

P.Abirami, M.Pushpavalli, and P.Sivagami

7 33 Satin Bower Bird Algorithm for Controller Parameter Optimization in an

Autonomous AC Microgrid.

Rekha P. Nair and P. Kanakasabapathy

8 35 Modeling and Simulation of a DFIG Based Wind Energy System

Madhuvanthani Rajendran and L. Ashok Kumar

9 36 Dynamic Economic Dispatch incorporating Commercial Electric Vehicles

Abinaya K, Velamuri Suresh, Suresh Kumar Sudabattula and Kaveripriya S


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Session In-charge: Dr.Sreedevi V T

[xxv]

Session: 2

Date: 12/12/2019 Time: 1.30-3.00pm Venue: AB 2 Smart class room

Session Chairs: Dr.Sreedevi V T, Dr.Mohammed Imran A, Dr.Arul R

Sl.No Paper ID Title and Authors

10 10 Online Insulation Monitoring of Low Voltage Unearthed Distribution

Systems

K.Barkavi and Prithak Kumar Bhattacharyya

11 41 Harmonic suppression & design of 3ϕ-Nine Level Inverter

M.Selvaperumal, and Dr.D.Kirubakaran

12 42 Enhancement of Voltage Transfer Ratio with Matrix Converter based

on Modulation Duty Cycle Matrix Approach using Optimum AV

Method

N. Krishna Kumari, D.Ravi Kumar, and E.Shiva Prasad

13 51 Design and Implementation of Feedback Controller for Non-Isolated

Switching DC- DC Buck Converter Operating in Continuous Current

Conduction Mode

Manthan Mangesh Borage, Dipen M. Vachhani and Rajesh Arya

14 55 Dynamic analysis of fuel cell fed superlift converter

Hounandan R, Dr. V. Chamundeeswari, Kumaran MS, and Deepa J

15 92 Modeling and simulation analysis of shunt active filter for harmonic

mitigation in islanded microgrid

R. Zahira, A.PeerFathima, D. Lakshmi and S. Amirtharaj

16 146 Extendable high gain dc-dc converter with APICs

Amritha G, Kanimozhi G, Gnana Swathika O.V and Abirami M

17 87 Haar FCM with DEMATEL technique to Analyze the Solid Waste

Management

A. Felix1 and Saroj Kumar Dash


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Session: 3

Date: 12/12/2019 Time: 4.00-4.45 pm Venue: AB I 101

Session Chairs: Dr.Lenin N C , Dr.Srirevathi B, Dr.Inayathullaah M A

Session In-charge: Dr.Lenin N C

[xxvi]


18 47

Simulation and Analysis of Interleaved Buck DC-DC Converter for

EV charging

K.Murugappan, Seyezhai.R G.Kishor Sabarish, N.Kaashyap, and J.Jason

Ranjit

19 97

Electric Vehicles Integration with Renewable Energy Sources and

Smart Grids

G Sree Lakshmi, Rubanenko Olena, G. Divya, and Iryna Hunko

20 114

Design and Development of Power Electronic Booster to Extend the

range of Supercapacitor powered Electric Bicycle

A. Bharathi Sankar, R. Seyezhai, and Mani Karthik

21 77 Analysis of wind speed data in Tadipatri region in Andhra Pradesh

Reshma Gopi R, Chithra A, Harish Kumar Pujari and Mageshvaran R

22 106

Deep Learning Approaches for Fall Detection using Acoustic

Information

John Sahaya Rani Aex, M.Abai kumar and D.V.Swathy


th- 14

th December.2019

Session: 4

Date: 13/12/2019 Time: 11.30-1.00 pm Venue: AB I Nethaji Auditorium 7th Floor

Session Chairs: Dr.Prabhakar M, Dr.GnanaSwathika O V, Dr.Ganesh Kumar S, CEG

Session In-charge: Dr.Prabhakar M

Sl.

No

Paper

ID

Title and Authors

23 37 FOPD Controller using Bee Colony Optimized Reduced Order FOFOPDT

Model of Three Interacting Tank Process

U. Sabura Banu, Abdul Wahid Nasir, I. Mohamed Shiek Mothi

24 38 Optimal Allocation of DERs in Distribution System in Presence of EVs

Kaveripriya S, Velamuri Suresh, Suresh Kumar Sudabattula and Abinaya K

25 43 Regulated Jordan-Elman neural network based controller model for grid

connected wind energy conversion systems

Deepa SN and Rajasingam N

26 46 Transmission System Security Enhancement with Optimal Placement of

UPFC in Modern Power System

Dr. Nagaraja Kumari. CH

27 54 Design and analysis of Improved Indirect Matrix Converter Supplying

Power to Rotor of DFIG for Bi-directional Power flow

Lavanya N and Phanindra Kumar P N H

28 62 Adaptive Reserve Estimation Technique for PV Systems under Dynamic

Operating Conditions

Pankaj Verma, Tarlochan Kaur, and Raminder Kaur

29 66 Assessing Small Cross Flow Wind Turbine for Urban Rooftop Power

Generation

Seralathan Sivamani, Hemanth Prasanna R, Arun J, Mikhail Christopher, Micha

Prem Kumar T, Bharath kumar P, Yeswanth Yadav, and Hariram V

30 67 A Novel Power Electronic Based Maximum Power Point

Tracking Technique for Solar PV Applications

D Ravi Kishore,T Vijay Muni and K S Srikanth

31 71 Analysis of an Enhanced Positive Output Super-Lift Luo Converter for

Renewable Energy Applications

A. Paramasivam, K. B. Bhaskar, N. Madhanakkumar and C. Vanchinathan

32

118 Coordinative Control of tuned Fuzzy logic and modified sliding mode

controller in PMSG based Wind Turbines

M. Rajvikram, and J.Vishnupriyan

33 135 Sustainable Energy Technologies: Energy resources for portable electronics-

A Mini Review

M Malini, P.Sriramalakshmi, and M.Sujatha

34 73 Impact of distributed generation on distribution system under fault and

islanding condition

Pujari Harish Kumar, R Maghesvaran, Guru Mohan Baleboina and K Vasavi


th- 14

th December.2019

Session: 5


Session Chairs: Dr.Sumathi V, Dr.SasiPriya P, Dr.Menaka R,

Session In-charge: Dr.Sumathi V

[xxviii]

Sl. No Paper ID Title and Authors

35 11 Development and implementation of the smart energy monitoring

system based on IOT

Barsanabanu, J Jayashanthi, A Thameem Ansari and A Sathish

36

44 Crowd Management using Ambient Intelligence

Priyeash Bala, Nilesh V, Velmathi Guruviah

37

70 Ambient Intelligence A Boon to Humankind: A Review

Sri Tharun.K, Megha Shyam, and Velmathi Guruviah

38

85 A Collaborative Approach for Course Recommendation System

Mrs.S.A.Sowmiya and Dr.P.Hamsagayathri

39 121 NARX-EMFO Based Controller Optimization for pH Neutralization

in Waste Water Treatment

Naregalkar Akshaykumar, and Dr.D.Subbulekshmi

40 124 Vision Based Lane Detection for Advanced Driver Assistance Systems

Rakesh Acharya Dharoori and Sathiya Narayanan

41 144 IOT Based Energy Management System With Data Logging

Capability

Gnanaswathika Odiyur Vathanam, Kanimozhi G, Umamaheswari E, Rujay

Soj and Soudeep Saha


th- 14

th December.2019

Session: 6

Date: 13/12/2019 Time: 2.00-4.00 pm Venue: AB I Nethaji Auditorium 7th Floor

Session Chairs: Dr.Premalatha L, Dr.Deepa T, Dr.Ganesh Kumar S, CEG

Session In-charge: Dr.Premalatha L

[xxix]


42 75 Enhancement of Power Quality in a 3ϕ-3bus Distribution System with

Unified Power Quality Conditioner

SK. Abdul Pasha and N. Prema Kumar

43 76 Genetic Algorithm and Graph Theory Approach to Select Protection

Zone in Distribution System

S Ramana Kumar Joga, Pampa Sinha and Manoj Kumar Maharana

44 79 Analysis on DVR based on the classification of converter structure and

compensation schemes

P Priyadharshini and P Usha Rani

45 80 Load Dispatch using Self-Adaptive Biogeography Based Optimization

Ramesh Kumar A, Pravina P and Ramesh Babu M

46 88 Load frequency control of a two area deregulated power system

integrated with DFIG using flower pollination algorithm

Lakshmi D, Peer Fathima A, Zahira R and Balamurugan M

47 99 DSPACE1103 Controller for PWM Control of Power Electronic

Converters

Amalrajan R, Gunabalan R and NilanjanTewari

48 150 Performance and reliability analysis of 13 level asymmetrical inverter

with reduced devices

AbeeraDutt-Roy and Umayal C


th- 14

th December.2019

Session: 7


Session Chairs: Dr.Vaithilingam C, Dr.Kanimozhi G

Session In-charge: Dr.Vaithilingam C

[xxx]

Sl.No Paper ID

Title and Authors

49 15

Soft Switching and Voltage Control for Three Phase Induction

Motor

Hemalatha S and Deepak Arumugam

50 28

Design and Performance Comparison of Permanent Magnet

Assisted Synchronous Reluctance Motors

D Pradhap, P Ramesh and N C Lenin

51 30

Performance analysis of Fuzzy logic control based Classical

Converter Fed 6/4 SRM drive for Speed Precision

Indira Damarla, and Venmathi. M

52 72 Fault classification in SRM drive using Hilbert transform

Padala Lakshmi Sai Vineetha and Dr. M.Balaji

53 112

Fault Diagnosis of Self Aligning Conveyor Idler in coal handling

belt conveyor system by Statistical features using Random Forest

Algorithm

Ravikumar, V. Muralidharan, P. Ramesh and D. Cheran pandian

54 69

Performance enhancement of permanent Magnet synchronous

Motor Employing iterative learning controller with space vector

pulse width modulation

Subha Lakshmi N, Allirani S, S Sundar and Vidhya K


th- 14

th December.2019

Session: 8

Date: 14/12/2019 Time: 11.30-1.00 pm Venue: AB 2 Smart class room

Session Chairs: Dr.Binu Ben Jose, Dr.Selvajothi K, IIITDM, Dr.Usha K, SSN

Session In-charge: Dr.Binu Ben Jose

[xxxi]


55 56 BESS based Microgrid with enhanced Power Control and Storage

Management

Kalpana Shanmugam, and Pradeep Gogineni

56 94 Power Quality Enhancement of DC Micro-Grid Using DC Electric

Spring

Anu A G, Dr. Hari Kumar R and Dr. S Ushakumari

57 104 Mathematical Modelling of Embedded Switched Inductor Z-Source

Inverter for Photovoltaic Energy Conversion

T.Divya and R. Ramaprabha

58 105 Hybrid Algorithms to Track Peak Power in solar PV array under all

Irradiation Conditions

R. Ramaprabha and S. Malathy

59 107 Financial Analysis of Diesel and Solar Photovoltaic Water Pumping

Systems

Pandikumar M and Ramaprabha R

60 123 Optimal Placement of DG and Controlled Impedance FCL Sizing

Using Salp Swarm Algorithm

Vasavi.C, and Dr.T.GowriManohar

61 137 Vector Control Scheme for PMSG Based WPS under Various Grid

Disturbances

Vijaya Priya R, and Elavarasi R

62 139

Phase Balancing of DG Integrated Smart Secondary Distribution

Network

Swapna Mansani, Udaykumar RY, Santoshkumar, Asha Rani MA,

Sreejith S

63 140 Maximum Power Extraction from a Wind Driven DFIG under

Unbalanced Grid Voltage

Asha Rani MA, M Chakkarapani, Sreejith S, and Swapna Mansani

64 141 Estimation of Pay Back Period Incorporating SVC and TCSC in

SCUC Problem

Sreejith.S, Asha Rani M.A, Swapna Mansani

65 12 A novel approach for Hobby class remotely operated vehicle

Thamizh thentral T M, Abhinav Viswanath T V, Senthilnathan S and

Bharghav R


th- 14

th December.2019

Session: 9


Session Chairs: Dr.Jayapragash R, Dr.IyswayaAnnapoorani K, Dr.Vasugi V

Session In-charge: Dr.Jayapragash R

[xxxii]


66 40

Development of Wind Energy Technologies and their Impact on

Environment: A Review

Manyamyuva Naga Satya Suryakiran, Waseemah Begum, R.S. Sudhakar

and Sharad Kumar Tiwari

67 83

Assessing the Performance of Response Surface Methodology on the

Transesterification Process of Moringa Seed Bio-oil

Hariram V, Ganesh H K, Patan Ahmad, Mallela Krishna Kumar, Diviti

Somasekhar, Seralathan S, Micha Premkumar T

68 84

Optimizing the Transesterification Process of Hemp Seed Bio-oil

using Artificial Neural Network

Hariram V, Bharadwaj P M, Viswaksen A, Surya C H, Ruthvin Maheej

D, Seralathan S, Micha Premkumar T

69 89

Development and Performance Evaluation of Micro Magnesium

Oxide Filled Silicone Rubber for High Voltage Insulation

Vinayak. V. Rao, Ramakrishana Murthy. K, Pradipkumar Dixit, R.

Harikrishna, Anand. M, R.T Prajwal Kumar, Raghavendra K.M, Sanjay.

I.S

70 90

Performance Evaluation of Naturally Aged Silicone Rubber

Polymeric Insulating Specimen with Nano TiO2 filled Epoxy Coating

Ramakrishana Murthy. K, Vinayak. V. Rao, Pradipkumar Dixit, R.

Harikrishna, Tarun Anand , Chandrakala, Prajwal Chowdry, Shubham

Kumar

71 143 Review of Particulate Matter Filters

Nerella Venkata Sai Charan, Krithiga S, and Partha Sarathi Subudhi

72 59

Design and real-time implementation of economical solar car for

commercial applications

Nabeel Najeeb Kassim, Sohail Akthar Khan, Kumar Devasish, Chitra A,

and Ryan Sujith


th- 14

th December.2019

Session: 10

Date: 14/12/2019 Time: 2.00-3.00 pm Venue: AB 2 Smart class room

Session Chairs: Dr.AngelineEzhilarasi G, Dr.Umayal, Dr.Seyezhai R, SSN

Session In-charge: Dr.AngelineEzhilarasi G

[xxxiii]


73 115

Levy Interior Search Algorithm based Multi-objective Optimal

Reactive Power Dispatch for Voltage Stability Enhancement

Karthik N, A K Parvathy, Arul R and Padmanathan K

74 117

Optimal Fractional Order Controller for Frequency Regulation in

Restructured Environment

S. Jennathu Beevi, R. Jayashree, and Peer Fathima A

75 119

Feasible settlement process for primary market using Distributed

slack power flow strategy

Ruby Vincy Roy F, Peer Fathima A, and Arunachalam S

76 126 Delicate Flower pollination algorithm for optimal power flow

Dhivya S, Arul R and K Padmanathan

77 127

Optimization of Electric Field Distribution along a 400kV Composite

insulator

Archana Cand Usha K

78 129

Effect of Stray Capacitance in location of Inter disc Fault in

Transformer Winding

Usha K and Usa Savadamuthu

79 145

Investigations on Salp Swarm Algorithm to solve Combined Heat

and Power Economic Dispatch

Arunachalam Sundaram, Peer Fathima A, Stella Morris, and Ruby Vincy

Roy F

80 147

A review on topological aspects of transformer less dynamic voltage

compensators

Mohanasundaram Ravi and Chendur Kumaran R

81 152

Lighting design for a campus hostel building using single stage

efficient buck LED driver

Srimatthi R, Kishore Eswaran , Hemamalini S and Kamatchi Kannan V


th- 14

th December.2019

Session: 11


Session Chairs: Dr FebinDaya J L, Dr.Gunabalan R, Dr.Syed Ibrahim, SCSE, VIT

Session In-charge: Dr FebinDaya J L

[xxxiv]

Sl. No. Paper ID Title and Authors

82 32

Survey on Crime Analysis and Prediction Using Data Mining and

Machine Learning Techniques

P.Saravanan, J.Selvaprabu, L.Arunraj, A.Abdul Azeez Khan, and

K.Javubar Sathick

83 96 Ontology Based Crime Investigation Process

P.Venkata Srimukh, and Prof. Shridevi. S

84 100

A literature survey: semantic technology approach in machine

learning

Rachana L, and Shridevi S

85 101 Variation-Tolerant In-Memory Digital Computations Using SRAM

OmkarKichchannagari, Gracin D, Ravi Visvanathan and Vigneswaran T

86 103 Defect detection and defect tolerant design of a Multi-Port SRAM

Sushmitha R, Nisha O R, Ravi.V, Vigneswaran T

87 130 Graphical model and model search for medical data analysis

Naimish P.Mehta, Menaka R, Arathy S Prasaad and Thanga Aarthy

88 82

Hardware Security for DSP Circuits using Key-Based Time

Dependent Obfuscation

R. Uma rani, D. Jayanthi, Sudharsan Jayabalan, and Arun Vignesh

89 110

Half Mode Substrate Integrated Waveguides (HMSIW) Bandpass

Filters – A Review

Jeba Saral Darling E and Velmathi Guruvaiah

90 149

Forecasting election data using Regression models and sentimental

analysis F

V Pattabiraman, and Sajjadsaif Gazali

91 65 Fuzzy System Approaching on Designing Intelligent Process -- A

Modelling For Thermal Power Plant

Subodh Panda and Nagesh Deevi

Second International Conference on Power Engineering Computing and CONtrol (PECCON-2019) 12th

- 14th

December.2019

TABLE OF CONTENTS

S. No.

Title of The Paper Page

No.

1 Online Insulation Monitoring of Low Voltage Unearthed Distribution Systems

K.Barkavi and Prithak Kumar Bhattacharyya

2

2 Soft Switching and Voltage Control for Three Phase Induction Motor

Dr.S.Hemalatha and Dr.A.Deepak

2

3 Z-source inverter based DVR using wind generator as a source for storage unit

B.Durai Babu, and Dr.P.Murugesan

3

4 A Novel Index Method for Distributed Generator Placement in a Radial Distribution

System Using Pandapower Python Module

Thasnimol C.M and R.Rajathy

3

5 Simulation and analysis of a voltage control strategy for single stage ac-ac converter

A.Jamna, R.Sujatha, and V.Jamuna

3

6 Performance improvement for PV based Distributed Generation using IPQC for IEEE 5

Bus system with power factor correction

Dr.P.Velmurugan, Dr.V.Vasan Prabhu, Mr.S.Sridharan, and Ms.P.Aruna

4

7 Design and Performance Comparison of Permanent Magnet Assisted Synchronous

Reluctance Motors

D Pradhap, P Ramesh and N C Lenin

4

8 Predicting Wind Turbine Blade Fault Condition to Enhance Wind Energy Harvest through

Classification via Regression Classifier

A. Joshuva, M. Arjun, R. Murugavel, V. A. Shridhar, G. S. Sriram Gangadhar, and S. S.

Dhanush

5

9 Performance analysis of Fuzzy logic control based Classical Converter Fed 6/4 SRM drive

for Speed Precision Indira.

Damarla, and Venmathi. M

5

10 Implementing PV Energized SRSPM Based Single Phase Inverter for Induction Motor

P.Abirami, M.Pushpavalli, and P.Sivagami

6

11 Survey on Crime Analysis and Prediction Using Data Mining and Machine Learning

Techniques

P.Saravanan, J.Selvaprabu, L.Arunraj, A.Abdul Azeez Khan, and K.Javubar Sathick

6

12 Satin Bower Bird Algorithm for Controller Parameter Optimization in an Autonomous AC

Microgrid.


7

13 Modeling and Simulation of a DFIG Based Wind Energy System

Madhuvanthani Rajendran and L. Ashok Kumar

7

14 Dynamic Economic Dispatch incorporating Commercial Electric Vehicles

Abinaya K, Velamuri Suresh, Suresh Kumar Sudabattula and Kaveripriya S

8


- 14th

December.2019

15 FOPD Controller using Bee Colony Optimized Reduced Order FOFOPDT Model of Three

Interacting Tank Process

U. Sabura Banu, Abdul Wahid Nasir, I. Mohamed Shiek Mothi

8

16 Optimal Allocation of DERs in Distribution System in Presence of EVs

Kaveripriya S, Velamuri Suresh, Suresh Kumar Sudabattula and Abinaya K

8

17 Development of Wind Energy Technologies and their Impact on Environment: A Review

Manyamyuva Naga Satya Suryakiran, Waseemah Begum, R.S. Sudhakar and Sharad

Kumar Tiwari

9

18 Harmonic suppression & design of 3ϕ-Nine Level Inverter

M.Selvaperumal , Dr.D.Kirubakaran

9

19 Enhancement of Voltage Transfer Ratio with Matrix Converter based on Modulation Duty

Cycle Matrix Approach using Optimum AV Method

N. Krishna Kumari, D.Ravi Kumar, and E.Shiva Prasad

9

20 Regulated Jordan-Elman neural network based controller model for grid connected wind

energy conversion systems

Deepa SN and Rajasingam N

10

21 Crowd Management using Ambient Intelligence

Priyeash Bala, Nilesh V, Velmathi Guruviah

10

22 Transmission System Security Enhancement with Optimal Placement of UPFC in Modern

Power System


10

23 Simulation and Analysis of Interleaved Buck DC-DC Converter for EV charging

K.Murugappan, Seyezhai.R G.Kishor Sabarish, N.Kaashyap, and J.Jason Ranjit

11

24 Design and Implementation of Feedback Controller for Non-Isolated Switching DC- DC

Buck Converter Operating in Continuous Current Conduction Mode

Manthan Mangesh Borage, Dipen M. Vachhani and Rajesh Arya

11

25 Design and analysis of Improved Indirect Matrix Converter Supplying Power to Rotor of

DFIG for Bi-directional Power flow

Lavanya N and Phanindra Kumar P N H

12

26 Dynamic analysis of fuel cell fed superlift converter

Hounandan R, Dr. V. Chamundeeswari, Kumaran MS, and Deepa J

12

27 BESS based Microgrid with enhanced Power Control and Storage Management

Kalpana Shanmugam, and Pradeep Gogineni

13

28 Design and real-time implementation of economical solar car for commercial applications

Nabeel Najeeb Kassim, Sohail Akthar Khan, Kumar Devasish, Chitra A, and Ryan Sujith

13

29 Adaptive Reserve Estimation Technique for PV Systems under Dynamic Operating

Conditions

Pankaj Verma, Tarlochan Kaur, and Raminder Kaur

14

30 Assessing Small Cross Flow Wind Turbine for Urban Rooftop Power Generation

Seralathan Sivamani, Hemanth Prasanna R, Arun J, Mikhail Christopher, Micha Prem

Kumar T, Bharath kumar P, Yeswanth Yadav, and Hariram V

14

31 A Novel Power Electronic Based Maximum Power Point Tracking

Technique for Solar PV Applications

D Ravi Kishore,T Vijay Muni and K S Srikanth

15


- 14th

December.2019

32 Ambient Intelligence A Boon to Humankind: A Review

Sri Tharun.K, Megha Shyam, and Velmathi Guruviah

15

33 Analysis of an Enhanced Positive Output Super-Lift Luo Converter for Renewable Energy

Applications

A. Paramasivam, K. B. Bhaskar, N. Madhanakkumar and C. Vanchinathan

16

34 Fault classification in SRM drive using Hilbert transform

Padala Lakshmi Sai Vineetha and Dr. M.Balaji

16

35 Enhancement of Power Quality in a 3ϕ-3bus Distribution System with Unified Power

Quality Conditioner

SK. Abdul Pasha and N. Prema Kumar

16

36 Genetic Algorithm and Graph Theory Approach to Select Protection Zone in Distribution

System

S Ramana Kumar Joga, Pampa Sinha, and Manoj Kumar Maharana

17

37 Analysis on DVR based on the classification of Converter Structure and Compensation

schemes

Priyadharshini P, and Usha Rani P

17

38 Solution to Economic Load Dispatch using Self-Adaptive Biogeography Based

Optimization

Ramesh Kumar A, Pravina P and Ramesh Babu M

17

39 Hardware Security for DSP Circuits using Key-Based Time Dependent Obfuscation

R. Uma rani, D. Jayanthi, Sudharsan Jayabalan, and Arun Vignesh

18

40 Assessing the Performance of Response Surface Methodology on the Transesterification

Process of Moringa Seed Bio-oil

Hariram V, Ganesh H K, Patan Ahmad, Mallela Krishna Kumar, Diviti Somasekhar,

Seralathan S, Micha Premkumar T

18

41 Optimizing the Transesterification Process of Hemp Seed Bio-oil using Artificial Neural

Network

Hariram V, Bharadwaj P M, Viswaksen A, Surya C H, Ruthvin Maheej D, Seralathan S,

Micha Premkumar T

19

42 A Collaborative Approach for Course Recommendation System

Mrs.S.A.Sowmiya and Dr.P.Hamsagayathri

19

43 Haar FCM with DEMATEL technique to Analyze the Solid Waste Management

A. Felix1 and Saroj Kumar Dash

19

44 Load frequency control of a two area deregulated power system integrated with DFIG

using flower pollination algorithm

D. Lakshmi, A.Peer Fathima, R. Zahira and M.Balamurugan

20

45 Development and Performance Evaluation of Micro Magnesium Oxide Filled Silicone

Rubber for High Voltage Insulation

Vinayak. V. Rao, Ramakrishana Murthy. K, Pradipkumar Dixit, R. Harikrishna, Anand.

M, R.T Prajwal Kumar, Raghavendra K.M, Sanjay. I.S

20

46 Performance Evaluation of Naturally Aged Silicone Rubber Polymeric Insulating

Specimen with Nano TiO2 filled Epoxy Coating

Ramakrishana Murthy. K, Vinayak. V. Rao, Pradipkumar Dixit, R. Harikrishna, Tarun

Anand , Chandrakala, Prajwal Chowdry, Shubham Kumar

21


- 14th

December.2019

47 Modeling and simulation analysis of shunt active filter for harmonic mitigation in islanded

microgrid

R. Zahira, A.PeerFathima, D. Lakshmi and S. Amirtharaj

21

48 Power Quality Enhancement of DC Micro-Grid Using DC Electric Spring

Anu A G, Dr. Hari Kumar R and Dr. S Ushakumari

22

49 Ontology Based Crime Investigation Process

P.Venkata Srimukh, and Prof. Shridevi. S

22

50 Electric Vehicles Integration with Renewable Energy Sources and Smart Grids

G Sree Lakshmi, Rubanenko Olena, G. Divya, and Iryna Hunko

23

51 DSPACE1103 Controller for PWM Control of Power Electronic Converters

Amalrajan R, Gunabalan R and Nilanjan Tewari

23

52 A literature survey: semantic technology approach in machine learning

Rachana L, and Shridevi S

24

53 Variation-Tolerant In-Memory Digital Computations Using SRAM

Gracin D, Kichchannagari Omkar, Ravi V and Vigneswaran T

24

54 Defect detection and defect tolerant design of a Multi-Port SRAM

Sushmitha R, Nisha O R, Ravi.V, Vigneswaran T

24

55 Mathematical Modelling of Embedded Switched Inductor Z-Source Inverter for

Photovoltaic Energy Conversion

T.Divya and R. Ramaprabha

25

56 Hybrid Algorithms to Track Peak Power in solar PV array under all Irradiation Conditions

R. Ramaprabha and S. Malathy

25

57 Deep Learning Approaches for Fall Detection using Acoustic Information


26

58 Financial Analysis of Diesel and Solar Photovoltaic Water Pumping Systems

Pandikumar M and Ramaprabha R

26

59 Half Mode Substrate Integrated Waveguides (HMSIW) Bandpass Filters – A Review

Jeba Saral Darling E and Velmathi Guruvaiah

26

60 Fault Diagnosis of Self Aligning Conveyor Idler in coal handling belt conveyor system by

Statistical features using Random Forest Algorithm

Ravikumar, V. Muralidharan, P. Ramesh and D. Cheran pandian

27

61 Design and Development of Power Electronic Booster to Extend the range of

Supercapacitor powered Electric Bicycle

A. Bharathi Sankar, R. Seyezhai, and Mani Karthik

28

62 Levy Interior Search Algorithm based Multi-objective Optimal Reactive Power Dispatch

for Voltage Stability Enhancement

Karthik N, A K Parvathy, Arul R and Padmanathan K

28

63 Optimal Fractional Order Controller for Frequency Regulation in Restructured

Environment

S. Jennathu Beevi, R. Jayashree, and Peer Fathima A

29


- 14th

December.2019

64 Coordinative Control of tuned Fuzzy logic and modified sliding mode controller in PMSG

based Wind Turbines

M. Rajvikram, and J.Vishnupriyan

29

65 Feasible settlement process for primary market using Distributed slack power flow

strategy

Ruby Vincy Roy F, Peer Fathima A, and Arunachalam S

30

66 NARX-EMFO Based Controller Optimization for pH Neutralization in Waste Water

Treatment

Naregalkar Akshaykumar, and Dr.D.Subbulekshmi

30

67 Optimal Placement of DG and Controlled Impedance FCL Sizing Using Salp Swarm

Algorithm

Vasavi.C, and Dr.T.GowriManohar

31

68 Vision Based Lane Detection for Advanced Driver Assistance Systems


31

69 Optimization of Electric Field Distribution along a 400kV Composite insulator

Archana Cand Usha K

32

70 Effect of Stray Capacitance in location of Inter disc Fault in Transformer Winding

Usha K and Usa Savadamuthu

32

71 Sustainable Energy Technologies: Energy resources for portable electronics- A Mini

Review

M Malini, P.Sriramalakshmi, and M.Sujatha

32

72 Vector Control Scheme for PMSG Based WPS under Various Grid Disturbances

Vijaya Priya R, and Elavarasi R

33

73 Phase Balancing of DG Integrated Smart Secondary Distribution Network

Swapna Mansani, Udaykumar RY, Santoshkumar, Asha Rani MA, Sreejith S

33

74 Maximum Power Extraction from a Wind Driven DFIG under Unbalanced Grid Voltage

Asha Rani MA, M Chakkarapani, Sreejith S, and Swapna Mansani

34

75 Estimation of Pay Back Period Incorporating SVC and TCSC in SCUC Problem

Sreejith.S, Asha Rani M.A, Swapna Mansani

34

76 Review of Particulate Matter Filters

Nerella Venkata Sai Charan, Krithiga S, and Partha Sarathi Subudhi

35

77 IOT Based Energy Management System With Data Logging Capability

Gnanaswathika Odiyur Vathanam, Kanimozhi G, Umamaheswari E, Rujay Soj and

Soudeep Saha

35

78 Investigations on Salp Swarm Algorithm to solve Combined Heat and Power Economic

Dispatch

Arunachalam Sundaram, Peer Fathima A, Stella Morris, and Ruby Vincy Roy F

36

79 Extendable high gain dc-dc converter with APICs

Amritha G, Kanimozhi G, Gnana Swathika O.V and Abirami M

36

80 Analysis of wind speed data in Tadipatri region in Andhra Pradesh

Reshma Gopi R, Chithra A, Harish Kumar Pujari and Mageshvaran R

36

81 Impact of distributed generation on distribution system under fault and islanding condition

Pujari Harish Kumar, R Maghesvaran, Guru Mohan Baleboina and K Vasavi

37


- 14th

December.2019

82 Development and implementation of the smart energy monitoring system based on IOT

Barsanabanu, J Jayashanthi, A Thameem Ansari and A Sathish

37

83 Performance and reliability analysis of 13 level asymmetrical inverter with reduced

devices

Abeera Dutt Roy and Umayal C

38

84 Performance enhancement of permanent Magnet synchronous Motor Employing iterative

learning controller with space vector pulse width modulation

Subha Lakshmi N, Allirani S, S Sundar and Vidhya K

38

85 A novel approach for Hobby class remotely operated vehicle

Thamizh thentral T M, Abhinav Viswanath T V, Senthilnathan S and Bharghav R

38

86 Delicate Flower pollination algorithm for optimal power flow

Dhivya S, Arul R and K Padmanathan

39

87 A review on topological aspects of transformer less dynamic voltage compensators

Mohanasundaram Ravi and Chendur Kumaran R

39

88 Lighting design for a campus hostel building using single stage efficient buck LED driver

Srimatthi R, Kishore Eswaran , Hemamalini S and Kamatchi Kannan V

39

89 Graphical model and model search for medical data analysis

Naimish P.Mehta, Menaka R, Arathy S Prasaad and Thanga Aarthy

40

90 Forecasting election data using Regression models and sentimental analysis

V Pattabiraman, and Sajjadsaif Gazali

40

91 Fuzzy System Approaching On Designing Intelligent Process - A Modelling For Thermal

Power Plant

Subodh Panda, and Nagesh Deevi

41


- 14th

December.2019

1

Abstract of Papers

2


- 14th

December.2019

Online Insulation Monitoring of Low Voltage Unearthed Distribution Systems

Ms. K.Barkavi1 and Prithak Kumar Bhattacharyya2

SRM Institute of Science and Technology,

Kattankulathur, India

Abstract: This paper deals with the implementation of online insulation monitoring of low

voltage unearthed distribution systems. The purpose of choosing and applying unearthed

distribution systems are the various advantages it possesses in the industrial safety area such as

continuity of service, prevention from risk of fire and shock. It is an important task to detect

insulation fault in the energized (online) system without affecting the distribution system. The

main purpose is to deal with the insulation fault in the energized system and maintain the

continuity of the system supply. The idea is to continuously monitor the low voltage distribution

system and detect the insulation/ohmic faults in the ungrounded energized low voltage

distribution system using an insulation monitoring device (IMD). Basically, ‘online’ suggests

real time measurement and ‘insulation monitoring’ is the continuous insulation monitoring and

leakage fault detection of ungrounded distribution systems. The IMD detects insulation faults

between the energized system and earth. An external injection, generated by the IMD, is made in

the distribution system to monitor the system. During the healthy condition of the distribution

system, the IMD reads and displays high insulation values. When an insulation fault occurs, the

IMD reading drops down to the corresponding value of insulation fault, which is proportional to

the voltage. Evaluation of various studies has been made and various cases have been studied

and implemented using Multisim software. Based on these case studies, testing of the hardware

and hardware implementation of one of the case studies has been showcased.

Soft Switching and Voltage Control for Three Phase Induction Motor

Dr.S.Hemalatha and Dr.A.Deepak

St Joseph’s Institute of Technology, OMR, Chennai, India.

Abstract: The role of induction motors is varied and of much importance in the field of electrical

drives. For such induction motors, proper starting is required to improve versatility of the

machine, reduce the starting current and mitigate power quality issues caused due to motor

starting. There are different methods of starting, such as direct on line starter, electromechanical

starting and autotransformer based starter. However star – delta starters are proved to be better in

case of low and medium power motors, on account of cost and efficiency; however this gives

transients when the circuit configuration is changed. In the proposed system power electronic

switches are being used as soft starters for induction motor drives. Different power electronic

switches are used and comparisons of the outputs provide a perspective on the effectiveness of

the circuit.

3


- 14th

December.2019

Z-source inverter based dvr using wind generator as a source for storage unit

B.Durai Babu1, Dr.P.Murugesan2

1Jeppiaar Nagar, Old Mamallapuram Road, Chennai-600 119 2Department of EEE, S.A Engineering College

Abstract: Voltage sag in a electrical distribution system is one of the important task and has

increased the attention .To compensate the voltage sag Dynamic voltage restorer is used. Due to

advanced power electronic technology, compensation capability has increased. DVR using wind

generator has taken to prevent the voltage sag and damage for voltage sensitive devices. An

inverter is proposed here to maintain the voltage level within the limits and restores the voltage

quickly. Shoot through time of the Z-source inverter makes sure the voltage boost when voltage

sag occurs. Finally the developed topology gives the better result and voltage compensation done

in a stipulated time and harmonics level of the inverter is also reduced.

A Novel Index Method for Distributed Generator Placement in a Radial Distribution

System Using Pandapower Python Module

Thasnimol C.M1 and R.Rajathy2

1,2 Pondicherry Engineering College, Puducherry, India

Abstract: A novel index method to find out the optimal location and optimal size of DGs in a

distribution system is presented with the objective of loss minimization and reduction in voltage

deviation. In order to highlight the importance of nodes in terms of loss reduction and

improvement in voltage profile, a new metric called Aggregate Loss and Voltage Sensitivity

Index (ALVSI) is proposed. The optimal location and size are found out to maximize the

Aggregate Loss and Voltage Sensitivity Index (ALVSI). A detailed analysis was presented for

CIGRE medium voltage distribution system benchmark. The simulation platform used is the

Pandapower python module.

Simulation and analysis of a voltage control strategy for single stage ac-ac converter

A.Jamna1 and R.Sujatha2 V.Jamuna3

1,2 St.Joseph’s College of Engineering, Chennai-600119, India 3Jerusalem College of Engineering, Chennai -600100, India

Abstract: Matrix Converters (MC) are essentially 4-quadrant forced commutated converter and

are formed by connecting bi-directional switch cells in a matrix form. Factors like single stage

transformation of voltage and frequency, bi-directional power flow capability, sinusoidal input

and output voltage, more compact size, low weight, and DC link-free architecture, make this

converter more attractive than a standard two stage converter. MCs can be used in applications

such as drive systems, frequency converters, wind energy conversion system, power supply

units. In this paper, the simulation of the MC system and its control strategy under different

operative conditions has been discussed. The simulation helps to gain insights into the effect of

different parameters on the converter performance.

4


- 14th

December.2019

Performance improvement for PV based Distributed Generation using IPQC for

IEEE 5 Bus system with power factor correction

Dr.P.Velmurugan1, Dr.V.Vasan Prabhu2, Mr.S.Sridharan3 ,Ms.P.Aruna4

1,2,3,4 St.Joseph’s College of Engineering, Chennai.

Abstract: The electrical demand arises from complex interactions between various power

consumers like individual, industry and socio-economic factors. In such a dynamic environment,

ordinary forecasting techniques are not sufficient to predict the demand. The advanced

forecasting techniques suggests that focusing not only on increasing the power production but

also the alternative betterment is effective transmission with balanced real and reactive power

swapping in power grid. This paper presents an analysis of voltage control in distribution

systems with the presence of Distributed Generation (DG) involving Improved Power Quality

Converter (IPQC).The steady state voltage and reactive power control in distribution systems

with and without the presence of DG involving converter interface are evaluated by considering

an IEEE 5 bus test system. The impact of DG on voltage at various buses are investigated by

introducing a disturbance at the specified bus. The renewable energy is pumped through power

converter to the grid for balancing the reactive power demand to fulfil the requirements. The

steady state voltage, Reactive power control, enhancement of real power with power factor

control were analysed with a IEEE 5 bus system as test case using photo voltaic (PV) based DG

involving IPQC and results are presented.

Design and Performance Comparison of Permanent Magnet Assisted Synchronous

Reluctance Motors

D Pradhap1, P Ramesh2 and N C Lenin3

1,2,3Vellore Institute of Technology – Chennai Campus, Chennai, India-600127

Abstract: Permanent magnet assisted synchronous reluctance motor (PMaSynRM) helps to

reduce the dependency of rare earth magnets, particularly in electric vehicle applications. In this

paper, the significance of magnet position in PMa-SynRM is discussed in detail. By keeping the

magnet in appropriate position, it can be utilized effectively, which enhances the power density

of the motor. A 1 kW PMa-SynRM is designed for electric two-wheeler and its performance for

various magnet positions are analyzed and compared.

5


- 14th

December.2019

Predicting Wind Turbine Blade Fault Condition to Enhance Wind Energy Harvest

through Classification via Regression Classifier

A. Joshuva1, M. Arjun1, R. Murugavel2, V. A. Shridhar3, G. S. Sriram Gangadhar1, S. S. Dhanush1

1Hindustan Institute of Technology and Science, Chennai 603103, 2 Global Technology and Business Centre (GTBC), Ford Motor Pvt. Ltd., Chennai 600119,

3Hindustan Institute of Technology and Science, Chennai, 603103,

Abstract: Wind energy has turned into a huge contender of usual fossil fuel energy. The

advancement of substantial wind turbines that empower to obtain energy more proficiently as a

result of the growing interest for renewables on the planet. With the expanded zest for the usage

of wind turbine power plants in remote ranges, basic condition monitoring will be one of the

main factors in the proficient foundation of wind turbines in the energy field. The wind turbine is

utilized to change over wind energy into electrical energy. To make wind energy more engaged

from various resources of energy, related to execution, convenience, dependability, viability, the

life of turbines must be enhanced. Fault recognition on cutting edge at an early stage will avoid

the issue, as sharp edge destruction can prompt a disastrous result for the whole wind turbine

framework. This paper brings a pattern recognition technology into the wind energy field and

endeavours to anticipate a different fault condition which happens in wind turbine sharp edge

using vibration signals.

Performance analysis of Fuzzy logic control based Classical Converter Fed 6/4

SRM drive for Speed Precision

Indira. Damarla1, Venmathi. M 2

1,2St.Joseph‟s College of Engineering

ABSTRACT: Switched Reluctance Motor (SRM) has become admirable to conventional

electrical machines due to its robust construction, a wide range of speed control, ruggedness, low

cost, high torque to weight ratio and highly reliable. SRMs are gaining most attractive with these

excellent features in the field of industrial applications such as electric vehicles, electric traction,

aerospace, mining drives. By cause of harmonics in air gap flux leads to periodic speed

pulsations and large torque ripple which leads to vibration & acoustic noise. Hence to overcome

this problem, the intelligent controller like a fuzzy logic controller (FLC) is employed. In this

paper, FLC based classical converter fed SRM drive is presented. The main aim of this work is

to control the speed of SRM drive with a fuzzy controller in the Matlab/Simulink platform. To

show the effectiveness of fuzzy controller its performance is correlated with the conventional

Proportional Integral (PI) controller. The statistical parameters like rise time, settling time for

various speeds with constant load torque are reported. The comparative simulation results

between the FLC and PI are also shown to validate the effectiveness of FLC to diminish periodic

speed ripples and settling time.

6


- 14th

December.2019

Implementing PV Energized SRSPM Based Single Phase Inverter for Induction Motor

P.Abirami1, M.Pushpavalli2, P.Sivagami3

1,2,3Sathyabama Institute of Science and Technology Chennai

Abstract: This research work explains in detail about the SRSPM Technique along with Solar

Energy. The drawback of the existing system is that it leads to high cost because of fuel cells and

implements two isolated DC – DC Converters in it which leads to high switching losses. Thus, to

overcome the above said drawbacks A Single Reference Six Pulse Modulation technique along

with solar power is implemented to improve the efficient usage of electrical vehicles. So, in this

research work solar energy is used to run the Motor which is the renewable source energy. The PV

panel generates DC supply and a pulsating DC is produced by the Hybrid technique SRSPM

which is used to improve the efficiency of the vehicle. Here the HF modulation is adopted to

obtain compact, low cost and light weight system. Thus, the low voltage signal is amplified to the

required three phase voltage signals by means of a multistage inverter. HF inverter consists of a

front-end DC-DC Converter and three phase PWM inverter. Here, two different modulations are

implemented. SRSPM is used to control front end full bridge DC – DC converter to produce HF

pulsating DC voltage having six pulse information and the average switching frequency and

switching losses are reduced by balanced three phase voltage produced by implementing 33%

modulation technique of three phase inverter. Thus, the proposed system simulation is carried out

for three phase supply and experimental setup is implemented for a single phase Induction Motor.

Survey on Crime Analysis and Prediction Using Data Mining and Machine

Learning Techniques

P.Saravanan1, J.Selvaprabu 2, L.Arunraj3, A.Abdul Azeez Khan4, K.Javubar Sathick5

1,2,3,4,5 B.S.Abdur Rahman Crescent Institute of Science and Technology

Abstract: Crime is an unlawful event which affects the harmony of humanity. Whoever got

victimized in a crime, it affects them both physically and mentally. Hence, they are haunted by

the memories throughout their life. Due to the limitations, traditional data collection and analysis

methods are not very effective now. Yesteryears, the researches were concentrating on

demographic features of the population. Nowadays, the dynamic characteristics of individual or

specific group could easily be extracted from the search engines, social media, e-commerce

platforms, mobile applications, IOT devices, surveillance cameras, sensors and Geographical

Information Systems. The recent technological advancements are helpful in integration of data

from various sources, classification of information into granular level, identification of crime

sequences and designing a framework. Particularly, the artificial intelligence methodology called

deep learning imitates the functions of human brain and able to acquires knowledge from

unstructured data. It makes revolutionary changes in crime forecasting, predictive policing and

legal strategy formulations. The following survey explores the possibilities of scrutinizing the

data from huge repositories, analyzing various socio-economic factors associated to the crime

incidents, identifying the outliers, categorizing the patterns and designing effective

computational models to predict crimes by using data mining and machine learning techniques.

7


- 14th

December.2019

Satin Bower Bird Algorithm for Controller Parameter Optimization in an Autonomous

AC Microgrid.


Department of Electrical and Electronics Engineering Amrita Vishwa Vidyapeetham ,Amritapuri India

Abstract: Satin Bowerbird optimizer (SBO) is a very recent metaheuristic algorithm used in

optimization problems. In this work an investigation is done on the efficacy of SBO in tuning a

PI controller parameter for improving voltage stability in an autonomous ac microgrid.

Intelligent microgrids are in fact the building blocks of a smart grid. For a microgrid operating in

the autonomous mode maintaining frequency and voltage stability under different disturbance

conditions are major causes of concern. Droop control is the most accepted control for ensuring

proper current sharing among parallel converters. The ac bus voltage is affected by the change in

reactive power demand and maintaining the bus voltage stability by minimizing the voltage

deviation error is studied in this work. Here a PI controller is employed whose gain is tuned by

SBO. The effectiveness is further tested by comparing the performance with controller gain set

to values above and below the optimally tuned values.

Modeling and Simulation of a DFIG Based Wind Energy System

Madhuvanthani Rajendran1 and L. Ashok Kumar2

1Sri Shakthi Institute of Engineering and Technology, Coimbatore 641062, Tamil Nadu, India 2PSG College of Technology, Coimbatore, Tamil Nadu, India

Abstract: Developing nations like India are rapidly shifting towards renewable energy to

accelerate its goals towards embracing renewables. Wind power plays a significant role in

the changeover to an environmentally friendly future, encouraging extensive research in

this sector. India is a key contestant in the global wind energy market and ranks fifth in the

world in terms of installed wind power capacity. Currently, India is handling the world’s

largest renewable energy program with the target of 175 GW renewable energy by 2022. In

this paper a Doubly Fed Induction based wind energy system is simulated using the

PLECS software with the analytical calculations being done in MATLAB. The DFIG is

preferred in this system, due its capability of controlling as well as generating active and

reactive power independently, with the ability to deliver this reactive power to the stator

through the grid side converter when required. The DFIG model is simulated along with

the wind turbine model as well as the rotor side controller and the grid side converter using

the average model of the converters. The DFIG wind generator is simulated in the dq

reference frame and the performance of the system is analyzed at various wind velocities.

The developed DFIG based wind energy system is connected to a grid voltage of 575 V, 60

Hz and this voltage is maintained in spite of varying wind velocities which establishes the

stability of the system. The analytical calculations done for the various wind velocities are

compared with the simulated results and are found to be equivalent.

8


- 14th

December.2019

Dynamic Economic Dispatch incorporating Commericial Electric Vehicles

Abinaya K1, Velamuri Suresh2, Suresh Kumar Sudabattula3 and Kaveripriya S4

1,2,4SASTRA University, Thanjavur, India 3Lovely Professional University, Phagwara,India

Abstract: In future, the Electric Vehicle will be expected to dominate the other transportation

network. Many commercial electric vehicles are being charged at common times due to their

usage pattern. This results in sudden rise of power demand on the electricity networks. In this

paper, Dynamic Economic Dispatch considering the impact of commercial electric vehicles is

proposed. The objectives of this work are minimization of fuel cost and network power loss. A

novel methodology for charging the commercial electric vehicles is developed and is utilized in

conjunction with dynamic economic dispatch. The proposed work is implemented on IEEE 30

bus system and the results shows that this method is very effective.

FOPD Controller using Bee Colony Optimized Reduced Order FOFOPDT Model of

Three Interacting Tank Process

U. Sabura Banu1, Abdul Wahid Nasir2, I. Mohamed Shiek Mothi3

1BS Abdur Rahman Crescent Institute of Science and Technology, Vandalur, Tamilnadu, India 2NIT Jamshedpur, 3Eswari Engineering College

Abstract: In this paper, Fractional Order Proportional-Derivative (FOPD) controller is designed

based on three frequency domain design criteria for the bee colony approximated Fractional

Order First Order Plus Dead Time system (FOFOPDT). Three tanks connected interactively in

series is considered for the study. As the process taken is a nonlinear process, local linear

FOFOPDT model is developed for each region separately minimizing root mean square error

using bee colony optimization algorithm. Time and frequency response of the original process is

compared with the approximated model for validating the model. Since there are three controller

parameters for both FOPD controller, three design criteria are fulfilled. Here Proportional gain,

Derivative gain and order of the differentiator are the three controller parameters of the FOPD

controller. Simulation results under servo, regulatory and parameter variations are reported.

Optimal Allocation of DERs in Distribution System in presence of EVs

Kaveripriya S1, Velamuri Suresh2, Suresh Kumar Sudabattula3 and Abinaya K4

1,2,4 SASTRA University, Thanjavur, India 3Lovely Professional University,Phagwara,India

Abstract: Usage of electric vehicles by mankind is increasing rapidly. It is observed that most of

the electric vehicles in a distribution system are being charged at common time which indirectly

reflects as a considerable load. In this paper the impact of these electric vehicles on distribution

system performance is studied and a new methodology for reducing the power loss is

implemented. A standard IEEE 33 bus radial distribution system with variable load profile is

considered for analysis. This method uses a combined Loss Sensitivity factor and Grasshopper

optimization algorithm to determine the optimal location and size of Distributed Generation

throughout the day. Various charging patterns for electric vehicles are analysed and best possible

approach for minimizing the power loss is presented.

9


- 14th

December.2019

Development of Wind Energy Technologies and their Impact on Environment: A

review

Manyamyuva Naga Satya Suryakiran1, Waseemah Begum2, R.S. Sudhakar and Sharad Kumar

Tiwari3

1,2,3Aditya Engineering College, Surampalem , Andhra Pradesh, India.

Abstract: Wind energy is a kind of renewable energy which produces electrical power from

wind. Wind turbine are installed at a specific geographical location where there is abundant of

wind. There are various environmental effects due to the operation and installation of the wind

turbines that cannot be overlooked. In this paper a status report of wind installation across the

globe as well as environmental effects of installation of wind turbine has been discussed.

Harmonic suppression &design of 3-Nine Level Inverter

Selvaperumal M1 , Dr.D.Kirubakaran2

1Sathyabama University Chennai, India. 2St.Josph’s Institute of Technology, Chennai, India.

Abstract: In this paper three phase asymmetrical nine level inverter is introduced with new

configuration T.he proposed asymmetrical multi level inverter has asymmetrical voltage source

1:2:4.for the purpose of increasing the number of levels with optimize number of power

electronic components, it is recommended to use by adding the number of switches. The

proposed circuit switching devices are compact, and three phase inverter circuit control strategy

and switching pattern are simplification very difficult for this purpose and switches are replaced

by diode. The supply frequency modulation technique is easy to control the output potential of

an inverter. Frequency modulation method is easy to generate the suitable switching gate signal

more over Configuration can be manufactured as obtained by the hard ware and simulation

results ensures the compatibility of this frequency modulation technique.

Enhancement of Voltage Transfer Ratio with Matrix Converter based on

Modulation Duty Cycle Matrix Approach using Optimum AV Method

Krishna Kumari1, D.Ravi Kumar2, E.Shiva Prasad3 1,2,3 VNR VJIET, Hyderabad, Telangana, India

Abstract: Three-phase to three phase Matrix Converters (MC) received significant interest in

modern years since they are fine choice to inverters and cyclo converters. The reason is that MC

offers i) Power flow in both the directions with sinusoidal input/output waveforms; ii) Better a

better input power factor iii) Compact design due to the nonexistence of dc-link capacitors

which is used for energy storage purpose. In this paper two methods: Alesina–Venturini (AV)

and Optimum Alesina–Venturini (OAV) methods are considered using Duty Cycle Matrix

Approach (DCMA). In the proposed modulation duty cycle strategy, the output voltage is

obtained up to 48% with AV method and with OAV method 80% of the input voltage at

different output frequencies. Whereas the input power factor is almost close to unity. The shapes

of the output voltages output current and input current waveforms are observed. The proposed

method is carried out using MATLAB/Simulink environment. The comparison is tabulated for

both the methods.

10


- 14th

December.2019

Regulated Jordan-Elman neural network based controller model for grid connected

wind energy conversion systems

Deepa SN1 and Rajasingam N2

1,2Anna University Regional Campus Coimbatore,Coimbatore – 641046, Tamil Nadu, India.

Abstract: Jordan-Elman neural network (JENN) is a class of recurrent neural network that

utilizes their internal unit to process pattern of samples. JENN simply extends the multi-layer

perceptron by enrolling context neurons which are those internal units. The main focus of this

paper is to design and develop an effective controller model for doubly-fed induction generator

(DFIG) based grid connected wind energy systems. To improve the performance of considered

grid connected wind energy conversion system (WECS), a meta-heuristic optimization algorithm

namely Density based grey artificial bee colony (D-GABC) algorithm is utilized to effectively

train the JENN model. Once the optimized neural network architecture is modelled, it is used to

adjust the gain values of the traditional PID controller so as to maximize the energy harvesting.

Conducted numerical simulation results proves the effectiveness of the developed regulated

Jordan-Elman neural network (RJENN) than that of methods available in literature.

Crowd Management using Ambient Intelligence

Priyeash Bala1, Nilesh V1, Velmathi Guruviah2

1,2 Vellore Institute of Technology, Chennai

Abstract: Crowd management and consequences of it, if not managed properly, has always been

a major issue to address in our country. The history of stampede and loss of lives due to lack of

resources to manage the crowd have been stated below with sufficient evidences. With the

growing usage of technology this problem can be addressed with proper solutions. The use of

RFID, IR cameras and CCTV using image processing under the concept of Ambient Intelligence

is one such solution which will be efficient in addressing this issue. On largescale drones can be

used to address a larger population over a larger coverage area. This can be one future

advancement as stated in the topic below.

Transmission System Security Enhancement with Optimal Placement of UPFC in

Modern Power System


Nalla Malla Reddy Engineering College, Hyderabad, India

Abstract: This paper is aimed to apply the Improved Particle Swarm Optimization (IPSO)

algorithm using Line Stability Index (LSI) for the optimal positioning of Unified Power Flow

Controller (UPFC) in standard IEEE test system as it can be controlled to provide real and

reactive series line compensation and independent controllable shunt compensation is also

provided, which can maintain a stable and secure operation of modern deregulated power

system. In this paper, MATLAB environment was employed to seek the optimum placement of

UPFC considering practical constraints. This work expounds the capability of UPFC in terms of

loss minimization, voltage stability enhancement, and power flow control. The reduced LSI

values can indicate the stress relief over the transmission lines and conjointly indicating the

congestion relief. To show the effectiveness, the proposed method was demonstrated on IEEE30

bus test system.

11


- 14th

December.2019

Simulation and Analysis of Interleaved Buck DC_DC Converter for EV Charging

K.Murugappan1, Seyezhai.R2 G.Kishor Sabarish3, N.Kaashyap4, J.Jason Ranjit5

1,2,3,4,5 SSN College of Engineering, Kalavakkam, 603110

Abstract: Electric vehicles use electric power as the driving force instead of the fossil fuels for

propelling vehicles. The main objective of introducing electric vehicles is to reduce pollution

caused by burning fossil fuels. One of the problems in electric vehicles is charging the battery

effectively to increase the lifetime of the electric vehicle (EV) battery. When conventional buck

converter is used in EV charger, the output voltage and current contain ripples which reduce the

life of the battery. To overcome this issue, a multi-phase interleaved step down converter is

employed which results in reduced ripples both at the input and output. In this paper, a

comparative study between the topologies of the conventional and the two-phase interleaved

buck converter is analyzed. The simulation studies are done using MATLAB-SIMULINK. The

performance of interleaved step down converter is compared in view point of load voltage and

load current ripple, losses and efficiency with the classical step down converter. The

comparisons show that the concept of interleaving reduces the ripple and increases the efficiency

of the EV charger.

Design and Implementation of Feedback Controller for Non-Isolated Switching

DC-DC Buck Converter Operating in Continuous Current Conduction Mode

Manthan Mangesh Borage1, Dipen M. Vachhani2 and Rajesh Arya3

1Vellore Institute of Technology, Vandalur Kelambakkam Road, Chennai, Tamil Nadu -600127,India 2,3Raja Ramanna Centre for Advanced Technology, Indore,Madhya Pradesh-452013,India

Abstract: DC-DC converters are one of the major research areas in the field of power electronics.

Design oriented study of lead compensator as well as Type-3 compensator is carried out and

compared for its effectiveness in control of DC-DC Buck converter. Design and development of

lab prototype of 5 V, 3 A voltage regulated Buck converter operating at switching frequency of

25 kHz is carried out involving design and fabrication of power circuit, MOSFET gate-driver

circuit and controller circuit. The control circuit is implemented using PWM controller IC

SG3525AN. The bode diagrams of control to output transfer function, uncompensated as well as

compensated loop gain are plotted and verified to achieve required gain crossover frequency and

phase margin with high loop gain at low frequencies leading to zero steady state error.

Developed lab prototype of the Buck converter thoroughly tested on resistive load and

experimentally verified for its dynamic performance as well as stable close loop operation.

12


- 14th

December.2019

Design and analysis of Improved Indirect Matrix Converter Supplying Power to

Rotor of DFIG for Bi-directional Power flow

Lavanya N1 and Phanindra Kumar P N H2

1Nalla Malla Reddy Engineering College, Hyderabad, India 2 Selec

Controls Pvt Ltd, Navi Mumbai, India

Abstract: This paper proposes an improved switching strategy to control both input and output

stages of a three phase Indirect Matrix Converter (IMC). In improved switching, the input stage

uses largest positive phase to phase voltage at each instant to produce maximum dc voltage with

low ripple and hence, the switching losses and the IMC output voltage distortions are reduced

compared to Conventional Indirect Matrix Converter. Also, the fundamental input current of

IMC with improved control is at UPF (unity power factor) for all operating conditions. The main

advantage of IMC with constant input voltage and frequency is to supply power to multiple loads

at different voltages and frequencies at the output stages. In this paper, the performance of

improved IMC with two output stages, where output stage-2 is supplying power to static load at

45 Hz and output stage-1 is fed to rotor of doubly fed induction machine (DFIM) for bi-

directional power flow is analysed. The hardware setup for the proposed IMC is implemented in

the laboratory and the experimental results are compared with those from simulation analysis.

Dynamic analysis of fuel cell fed superlift converter

Hounandan R1 Dr. V. Chamundeeswari2 Kumaran MS3 Deepa J4

1,2,3,4 St. Joseph’s College of Engineering, Chennai-119, India

Abstract : As renewable energy plays a vital role in today’s world, this paper presents a non-

pollutant renewable source namely the fuel cell fed DC-DC converter. Fuel cell is an

electrochemical cell that produces electrical energy from a chemical reaction. Here a Superlift

DC-DC converter is interfaced with a fuel cell and simulated. As the output voltage is solely

dependent on the fuel cell voltage, the characteristics of the fuel cell is predicted by carrying out

dynamic analysis. It reveals the mathematical model of fuel cell which portrays its behavioural

nature. Different types of fuel cells are considered, but PEM (proton exchange membrane) fuel

cell is chosen because of its efficient characteristics. Simulation is done using MATLAB and the

results are validated with the theoretical calculations.

13


- 14th

December.2019

BESS based Microgrid with enhanced Power Control and Storage Management

Kalpana Shanmugam1, Pradeep Gogineni2

1,2Microgrids-R&D Senior Power System Engineer, ABB GISL Pvt Ltd

Abstract: In order to meet the continuous growing electricity demand with reduced

environmental pollution, renewable energy resources are in extensive use and the traditional

energy generation and distribution is being replaced by the microgrid. An increasing share of

renewables penetrations, changes in power/energy consumption patterns in the

residential/Industrial sector, and grid code tightening requirements for the reliability, stability of

supply and flexibility at all voltage levels of the power system. BESS can be viewed as a

valuable and reliable asset that can provide more added benefits and flexibility, stability to the

microgrid system in both islanded and Grid connected operation conditions. In this paper the

Microgrid with BESS is analyzed in different operating conditions. The intermittent behavior of

renewable energy can result in number of operational challenges including frequency and

voltage fluctuations in Microgrid. BESS is used for counter-act the intermittent nature of

renewables thus by providing reliable, stable power. This paper proposes a distributed secondary

control for islanded and grid connected microgrids with BESS. Droop control is used to perform

autonomous power management among sources in microgrids (MGs). This approach has the

potential to improve system reliability, stability and ease of management. To develop highly

effective droop relations, all relevant variables such as MG operating frequency, voltage, power

flow from all the assets, and the load status are considered. The proposed secondary control

requires only simplified communication protocol and a dedicated communication network. The

control algorithm implemented in microgrid system is tested in different scenarios by means of

software-in-the- loop and hardware-in-the-loop etc. How-ever in this paper we present

performance of the system through software-in-the-loop test results for the islanded, grid

connected and transitions operating scenarios.

Design and real-time implementation of economical solar car for commercial

applications

Nabeel Najeeb Kassim1, Sohail Akthar Khan2, Kumar Devasish3, Chitra A4, Ryan Sujith5

Vellore Institute of Technology, Vellore 632014

Abstract: Our paper proposes an expedient design of a solar-powered hybrid electric vehicle for

automation. An electric vehicle propels via a battery which has been stimulated by an external

electric power supply. All contemporary electric vehicles proffer a drive on an extraneous ac

power endowed motor. Contemplating those traditional setups where an inverter set is obligatory

to be connected with the battery which in turn transforms the AC power to DC power. This

alteration eventually results in considerable losses, besides the cost of maintenance of the AC

system is steep. The proposed topology possesses the sovereign solar/electric power generation

system mounted on the vehicle to energize the battery during all durations. The foremost

functionality includes multi-charging via which vehicle can boost charge through both solar and

electric power. A suitably coordinated network of battery, motor, battery management system

along with maximum power point tracker which yields best results. Being cost-efficient it serves

the purpose of automation for a commoner.

14


- 14th

December.2019

Adaptive Reserve Estimation Technique for PV Systems under Dynamic Operating

Conditions

Pankaj Verma1, Tarlochan Kaur2, and Raminder Kaur3

1,2,3 Punjab Engineering College (Deemed to be University), Chandigarh, India, 160023.

Abstract: As the PV systems are static in nature and lacks inertial properties, the situation

demands for the ways to couple the system frequency with the active power, because increasing

penetration of the static PV devices have caused a serious threat to the stability of the power

system. Many methods have already been proposed to enable the inertia capabilities in PV

systems, one of them is to keep a reserve in the system by deloading. In deloading, the reserve is

kept as a fixed or a constant value, which might lead to challenges in the operation of the system

under dynamic conditions. In this paper, an adaptive reserve estimation technique is proposed in

which the power reserve is flexible and is determined using a fuzzy logic controller. The fuzzy

rule base is developed by considering the irradiance and ambient temperature of the PV array.

The control aims at making the reserve technique flexible to dynamic conditions. The control has

been modeled in the Simulink and the working is tested by simulating the system for a dc load.

Assessing Small Cross Flow Wind Turbine for Urban Rooftop Power Generation

Seralathan Sivamani1, Hemanth Prasanna R2, Arun J3, Mikhail Christopher4, Micha Premkumar T5

Bharath Kumar P6, Yeswanth Yadav7 and Hariram V8

Hindustan Institute of Technology and Science Chennai 603 103, Tamil Nadu, India

Abstract: Horizontal axis wind turbine is not suitable for urban rooftop power generation. The

urban wind environment has issues like low wind velocity conditions and turbulence. Cross

flow turbine derived from Banki water turbine is used as its structure is simple. Also, it starts at

low wind speeds and possess high starting torque. Therefore, the focus of this study is to

understand the flow physics of the crossflow wind turbine. Experimental investigations are

carried out with wind velocities varying from 4-10 m/s. The performance characteristics of

crossflow wind turbine are estimated in terms of coefficient of power (Cp), tip speed ratio (λ) and

coefficient of torque (Ct). The relationship between time taken to attain the maximum speed at

varied wind conditions is also plotted. The results showed that crossflow wind turbine possess a

good self-starting ability at relatively low wind speeds with high starting torque. Peak power

coefficient, Cp,max of 0.0485 is obtained for λ = 0.50. As λ is increased further, the Cp value is

observed to decrease gradually. Ct value is found to decrease almost linearly from a maximum

value of 0.096. Polar plot showed that torque output is almost same at all angles which proves

the crossflow turbine to be omni-directional. Hence, regardless of the wind directions,

crossflow turbine produces same performance making it a suitable choice for the urban rooftop

power generation.

15


- 14th

December.2019

A Novel Power Electronic Based Maximum Power Point Tracking Technique for Solar

PV Applications

D Ravi Kishore1 ,T Vijay Muni2 and K S Srikanth3

1Godavari Institute of Engineering & Technology (A), Rajahmundry, India 2Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India

3Amalapuram Institute of Management Sciences & College of Engineering, Mummidivaram, AP, India

Abstract: The conductance of solar cell was nonlinearly various with atmospheric changes,

which had resulted in false MPP. To overcome this problem, the proposed system is educated

with the neural network. Although incremental conductance can grant marginally better overall

performance in case of rapidly various atmospheric conditions, the accelerated complexity of the

algorithm will require larger steeply-priced hardware, and therefore can also have an advantage

over MPPT solely in massive PV arrays. The shortcoming of the Fuzzy Logic approach is lack

of expertise of the obligation cycle variation, which results in suited accuracy level with terrible

dynamic characteristics To overcome the problem, PWM technique is applied, and the

corresponding duty cycle is varied to trigger the inverter.

Ambient Intelligence A Boon to Humankind: A Review

Sri Tharun.K1, Megha Shyam2, Velmathi Guruviah3

1,2,3 Vellore Institute of Technology, Chennai

Abstract: Ambient intelligence is an evolving discipline that adds knowledge and awareness to

our daily environments. Artificial Intelligence (AI) is the simulation by machines, particularly

computer systems, of human intelligence processes. Such processes include reading (acquiring

knowledge and data rules), reasoning, self- correction. The Internet of Things, or IoT, is a

collection of interconnected computing devices, mechanical or virtual machines, objects, animals

and individuals that have unique identifiers (UIDs) and the ability to transfer information over a

network without needing human-to-human or computer-to-computer communication. The paper

gives an overview of advances in ICT-related AI and AmI through data society legislation,

superintelligence, and several related disciplines such as AmI for Clinical Diagnosis Assistance,

multi-agent systems and the Semantic Web, Ambient Assisted Living and e-Healthcare, Ambient

Intelligence for E-Learning and Ambient Intelligence for Smart Cities.

16


- 14th

December.2019

Analysis of an Enhanced Positive Output Super-Lift Luo Converter for Renewable

Energy Applications

A. Paramasivam1, K. B. Bhaskar2, N. Madhanakkumar3 and C. Vanchinathan4

1B. S. Abdur Rahman Crescent Institute of Science and Technology, Chennai 600048, India 2,4Adhi College of Engineering and Technology, Chennai 631605, India

3Mailam Engineering College, Mailam 604304, India

Abstract: In this research, the Enhanced Positive Output Super-Lift Luo (EPOSLL) converter is

utilized to course maximum power of Photovoltaic (PV) source. Further, the drift avoidance

Peturb and Observe (P&O) maximum power point tracking (MPPT) technique is adopted to

track maximum power. Also, the two control strategies are proposed with the help of

Proportional Integral (PI) controller to maintain constant output voltage and output power,

respectively. The MATLAB/simulink software is utilized to simulate the entire research work.

Results demonstrate that the proposed converter design not only tracks the maximum power but

also it maintains the output voltage and power to a fixed set value. Also, the solar irradiance (G)

is varied and it is observed that the output voltage and output power are constant at all time gains

high significance in motor drive applications.

Fault classification in SRM drive using Hilbert transform

Padala Lakshmi Sai Vineetha1 and Dr. M.Balaji2

1,2Department of EEE, SSN College of Engineering, Kalavakkam, India.

Abstract: Switched Reluctance Motor (SRM) is widely used for variable speed applications due

to its enormous advantages like simplicity, ruggedness and lower cost. In variable speed

applications, detection and diagnosis of faults are vital. This paper investigates the performance

of SRM drive under faulty condition and proposes a Hilbert transform based technique to

diagnose the faults. The faults considered in this work include phase open circuit fault, short

circuit fault, inter turn fault with uniform and non uniform turns and phase to phase short circuit

fault. The performance of the motor under normal and fault conditions is analyzed using Finite

Element Analysis based MagNet 7.5. The features extracted from Hilbert transform will aid in

detection and classification of faults in the motor.

Enhancement of Power Quality in a 3ph-3bus Distribution System with Unified

Power Quality Conditioner

SK. Abdul Pasha1 and N. Prema Kumar 2

1Anurag Engineering College (autonomous), Kodad, Suryapet (dist), TS. 2 AU College of Engineering(autonomous),Vishakhapatnam,AP.

Abstract: The main objective towards electrical-distribution system is to experience the

consumer’s demands for energy later acquiring the huge electrical-energy from the

transmission/substation. Various network compositions remain feasible to suit the needed supply

reliability. Protection, control and supervising apparatus are implemented to empower the

adequate process of distribution network. This effort mainly analyzes on 3phase, 3bus

distribution system by introducing an UPQC with various load configurations. The outcomes are

correlated as regards real-power, reactive power, voltage, current-THD. The Significance of the

present work is to upgrade the quality of power for a 3-ph, 3-bus distribution network by

introducing an UPQC with various load configurations.

17


- 14th

December.2019

Genetic Algorithm and Graph Theory Approach to Select Protection Zone in

Distribution System

S Ramana Kumar Joga1, Pampa Sinha2, Manoj Kumar Maharana3 1,2,3School of Electrical Engineering, KIIT Deemed to be University Bhubaneswar,India

Abstract: In this paper, a Genetic Algorithm and Graph Theory-based approach has been

proposed for the Protection Zone Selection for Distribution System. The Proposed method is

designed and developed to split electrical distribution system into protection zones containing

busses and protection relays or fault detectors and also to decrease the calculation burden in

dealing with a large set of signal data. Genetic Algorithm based heuristic Search method is used

to place fault detectors at optimal location, and it carried out in MATLAB. IEEE33 bus radial

distribution system is tested for validating the proposed system.

Analysis on DVR based on the classification of Converter Structure and

Compensation schemes

Priyadharshini P1, Usha Rani P2

1,2 RMD Engineering College, Kavaraipettai

Abstract: Nowadays power quality issues are the greatest challenges to the upcoming

development. Especially in case of using the sensitive loads the voltage disturbances will be

high. Many research based solutions has been raised to overcome the PQ issues. One the best

solution is power electronic switches based dynamic voltage restorer. The DVR becomes mature

power quality device. The Converter structure and compensation schemes plays a major role in

deciding the capability of the DVR. Hence in this paper, classification of DVR based on

converter structure and compensation schemes have been analyzed.

Solution to Economic Load Dispatch using Self-Adaptive Biogeography Based

Optimization

Ramesh Kumar A1, Pravina P 2and Ramesh Babu M3

1St.Joseph’s Institute of Technology, Chennai 600119, India. 2Jeppiaar Engineering College, Chennai 600119, India.

3St.Joseph’s College of Engineering, Chennai 600119, India.

Abstract: Biogeography Based Optimization (BBO) is a bio-inspired algorithm organized by two

processes; such as the process of migration and mutation. These operations work in the basic

probabilistic way. It does not achieve good ability for population diversity and exploration. To

improve the quality of the solutions, the original BBO algorithm is modified. In the proposed

algorithm, migration operation of BBO is migrated with the mutation operation of differential

evolution (DE) to enhance population diversity. In addition, BBO’s mutation process is tailored

to Gaussian mutation to improve the potential for discovery. It is namely self-adaptive

biogeography-based optimization (SABBO). In this paper, the SABBO approach is used in

various power system to solve extremely challenging problem of economic load dispatch. To

illustrate the advantages of the proposed SABBO algorithm used to check economic dispatch

problems with consideration of valve-point effects, restricted operating zones and generator

ramp rate limits. Moreover, the proposed algorithm has been compared in the literature with

existing algorithms. The adequacy of the proposed SABBO algorithm was evaluated effectively

on the standard 6-unit, 15-unit and 40-unit framework.

18


- 14th

December.2019

Hardware Security for DSP Circuits using Key-Based Time Dependent

Obfuscation

R. Uma rani1, D. Jayanthi2*, Sudharsan Jayabalan3, Arun Vignesh3

1,2,3Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India

Abstract: Integrated Circuit (IC) design flow undergoes multistep process concentrating on

major factors like power, time and area. By side of this, hardware security became major

consideration factor due to increase in hardware design vulnerabilities. Most of the vendors use

Intellectual property (IP) cores and proceeds with further design process which include some

suspicious activities during design flow making designers to ensure design trust by reevaluating.

This increased focus on suspicious activities which leads to attacks such as reverse engineering,

illegal use of IC/IP, illegal IC overbuilding etc. Obfuscation can prevent such activities by

obfuscating the IP/IC functionality using concept of secret keys. This paper proposes advance

technique of random natured time-dependent obfuscation for sequential circuits. This method

protects the design functionality controlled by control signals along with data-path obfuscation,

which increases circuit security level compared to existing obfuscation methods. This concept is

applicable to any DSP applications. It ensures high degree of security with low power and area

overheads.

Assessing the Performance of Response Surface Methodology on the

Transesterification Process of Moringa Seed Bio-oil

Hariram V1, Ganesh H K2, Patan Ahmad3, Mallela Krishna Kumar4, Diviti Somasekhar5,

Seralathan S6, Micha Premkumar T7

1,2,3,4,5,6,7Hindustan Institute of Technology and Sci-ence, Hindustan University, Chennai,

Abstract: This investigation presents the conversion of moringa seed bio-oil to bio-diesel

through two stage transesterification process. Acid and base catalysed transesterification

procedure was implemented due to higher content of free fatty acid. The transesterification

process was optimized through reaction duration, catalyst concentration of KOH, molar ratio

(methanol to oil) as the conditions for the change of mono-alkyl triglycerides to FAME’s.

Optimization was carried out using Response surface methodology to understand its behavior on

assessing the synergetic effect between the process parameters and to attain the optimum

Moringa olifera biodiesel yield. The response surface methodology tool predicted the optimum

yield of biodiesel as 97.67 % at reaction time of 66.4759 minutes, catalyst concentration of KOH

1.0599 gms and molar ratio 0.2713 v/v which was also validated experimentally.

19


- 14th

December.2019

Optimizing the Transesterification Process of Hemp Seed Bio-oil using Artificial

Neural Network

Hariram V1, Bharadwaj P M2, Viswaksen A3, Surya C H4, Ruthvin Maheej D5, Seralathan

S6, Micha Premkumar T7

1,2,3,4,5,6,7 Hindustan Institute of Technology and Sci-ence, Hindustan University, Padur, Chennai

Abstract: Genetic algorithm (GA) coupled Artificial Neural Network (ANN) model regularized

with Bayesian ANN approach was employed in the prediction of Cannabis sativa (hemp) seed

biodiesel through single stage transesterification process. In this methodology, the CCRD

(central composite rotatable design) was used to develop the trial experiments upto 20 runs with

variations in the input process parameters such as methanol to oil molar ratio, catalyst loading

and reaction duration. The optimal yield of hemp seed biodiesel was predicted as 97.6% at 0.225

v/v molar ratio, 1.725 w/v catalyst loading and 60 minutes reaction duration. Moreover, the

MSE, RMSE, SEP and MRPD values using the statistical tool was noticed to be 0.160, 0.40,

0.4280 and 0.4115 respectively which evidenced the developed model with higher accuracy and

precision. Further, the physio-chemical properties of hemp seed biodiesel was found to be within

ASTM standards and suitable to be used in compression ignition engine.

A Collaborative Approach for Course Recommendation System

Mrs.S.A.Sowmiya1 and Dr.P.Hamsagayathri2

1,2 Bannari Amman Institute of Technology, Sathyamangalam – 638 401

Abstract: Graduate attributes are the competencies and capabilities set by the college network as

benchmark for its students during their time with the organization. The principle point of the

paper is to assist students with their scholastic choices, by suggesting elective courses dependent

on the Graduating Attributes Scores. Students rate the significance of each course in improving

their graduating qualities toward the end of every semester. The elective courses taken by peer

students and rated similarly are identified by a Collaborative filtering algorithm and prescribed

to students. This paper predicts the rating for each course and Graduating Attribute. The elective

courses with the greatest expected ratings are shortlisted for proposal. Also, the aggregated GA

score is determined for each student at end of every semester. The shortlisted courses that can

improve the feeble GA scores are at prescribed to students.

Haar FCM with DEMATEL technique to Analyze the Solid Waste Management

A. Felix1 and Saroj Kumar Dash1* 1School of Advanced Sciences, VIT Chennai, Tamilnadu, India.

Abstract: An interesting attempt is taken to form a hybrid model by integrating Fuzzy Cognitive

Map (FCM), the Delphi Method, and the DEMATEL method through the Haar ranking of

Hexagonal Fuzzy Number. To examine this model, the problem of solid waste management is

taken. Solid waste arises from human and animal activities, can generate major health problems

and horrible living environment when they are not dumped of safely and appropriately. The

proper disposal of solid waste helps to reduce the terrible impacts on both human health and

environment to sustain economic growth and better quality of life. Therefore, this present study

analyses the Solid Waste Management through the Haar FCM with DEMATEL technique.

20


- 14th

December.2019

Load frequency control of a two area deregulated power system integrated with

DFIG using flower pollination algorithm

D. Lakshmi1 ,A.Peer Fathima2,R. Zahira3 and M.Balamurugan4

1AMET Deemed to be University, Chennai, Tamilnadu

2VIT Chennai, Tamilnadu, India 3 3BSA Crescent Institute of Science and Technology, Chennai, India

4Dr. Paul’s Engineering College, Villupuram,India

Abstract: In power system dynamics, Load Frequency Control (LFC) assumes a significant job

in maintaining quality power. For the dynamic changes in load, LFC has to maintain constancy

of frequency and tie line power flow in every area. As there is a tremendous increase in load,

electric power industry is in transition to the open market scenario. This paper deals with the

study of two area LFC, bilateral market structure by integrating with Doubly- Fed Induction

Generator (DFIG) wind turbine. In order to reduce the peak shoots, DFIG is applied to both the

areas as it provides inertial control for LFC. LFC gives better performance by using

Conventional Proportional – Integral (PI) controllers. However, finding optimum gain constant

for the controller will be a complicated task. Hence, to tune the PI controller, Flower Pollination

Algorithm (FPA) has been employed. The performance of the FPA has been evaluated based on

the Integral Square Error (ISE).The Dynamic response of the system has been analyzed for both

bilateral contract and contract violation conditions.

Development and Performance Evaluation of Micro Magnesium Oxide Filled

Silicone Rubber for High Voltage Insulation

Vinayak. V. Rao1, Ramakrishana Murthy. K1, Pradipkumar Dixit1, R. Harikrishna2, Anand. M1,

R.T Prajwal Kumar1, Raghavendra K.M1, Sanjay. I.S1

1,2M.S. Ramaiah Institute of Technology, Bangalore – 560054

Abstract: Polymeric insulators are being extensively used for outdoor insulation due to their

excellent hydrophobic property. Several studies have been reported to evaluate the performance

of these insulators as outdoor insulation with micro and nano fillers. These studies indicate, aged

insulators under different environmental conditions exhibits considerably poor performance due

to reduced tracking and erosion resistance. The present paper discusses the development of

micro filled Magnesium Oxide Silicone Rubber (MgOSiR) specimen and its performance for

High Voltage insulation under various environmental conditions. In the present study, 24Hrs

water absorbance test ,Inclined Plane Test (IPT) , Flashover Experiments have been conducted

on the developed 30 weight percent (30wt%) micro Magnesium Oxide filled Silicone Rubber

specimens (30MMg) and commercially available Silicone Rubber specimens. The

characterization using Fourier Transform infrared spectroscopy (FTIR) indicates micro filled

sample has better resistance to degradation and good hydrophobic recovery. The experimental

results reveal that, developed specimens shows superior hydrophobic property, tracking &

erosion resistance and higher flashover voltage under dry & wet conditions compared to

commercial Silicone Rubber specimen.

21


- 14th

December.2019

Performance Evaluation of Naturally Aged Silicone Rubber Polymeric Insulating

Specimen with Nano TiO2 filled Epoxy Coating

Ramakrishana Murthy. K*1, Vinayak. V. Rao1, Pradipkumar Dixit1, R. Harikrishna2, Tarun

Anand1 , Chandrakala1, Prajwal Chowdry1, Shubham Kumar1

1,2 M.S. Ramaiah Institute of Technology, Bangalore – 560054

Abstract: Polymeric outdoor Insulators are seen as an attractive alternative to the Porcelain /

Glass Insulators due to their excellent hydrophobic property. Though the performance of

polymeric insulators are superior as compared to their porcelain counterpart under contaminated

conditions, with ageing hydrophobic property of these insulators decreases which in-turn reduces

their pollution withstand capability. Inorder to improve the pollution performance of the outdoor

insulators, several coating techniques have been proposed in the literature. In the present work,

aged polymeric insulator specimens have been coated with epoxy resin by embedding nano

Titanium dioxide (TiO2) as fillers in different weight percentage into the Epoxy base. Dry, wet

and pollution flashover experiments have been conducted on these specimens. The test results

reveal that the performance of nano TiO2 filled epoxy coated specimens exhibit superior

performance as compared to uncoated specimens under polluted condition. Further, when the

polluted nano TiO2 filled epoxy coated specimens were exposed to UV light, the flashover

voltage increased with significant reduction in pollutants deposited on their surface which

implies that the nano TiO2 filled epoxy coated specimen exhibits self-cleaning property.

Modeling and simulation analysis of shunt active filter for harmonic mitigation in

islanded microgrid

R Zahira1 A.PeerFathima2 D. Lakshmi3 and S. Amirtharaj4

1BSA Crescent Institute of Science and Technology,

Chennai, India 2School of Electrical Engineering, VIT Chennai,

Tamilnadu, India 3,4 AMET Deemed to be University, Chennai, Tamilnadu, India.

Abstract: The Microgrid is a combination of the distributed generation (DG) systems that deliver

power to its local networks. The DG system constitutes non-conventional sources such as wind

turbine, fuel cell, battery, and Solar. By connecting microgrid to the non-linear loads, it

generates harmonic current into the system, which disturbs the sinusoidal waveform and power

factor. The power quality compensator is used for improvement of the reliability and efficiency

of the system. In this paper, first power quality issues are analyzed by connecting loads. As the

system is connected to load it disturbs the sinusoidal waveform by introducing harmonics. To

reduce these harmonics, passive filters are used. But due to the certain drawbacks such as

complication in design and huge size of filter shunt active power filter (SAPF) is introduced in

this system. These SAPF is controlled by an instantaneous power theory, which works as on line

power quality analyzer and limits THD according to the IEEE 519-1992 standard. Depending on

the power requirement of the nonlinear load, the proposed control for SAPF allows balanced line

with near sinusoidal current and also maintains unity power factor. The presented model is

simulated in the Matlab/ simpower environment and results are validated.

22


- 14th

December.2019

Power Quality Enhancement of DC Micro-Grid Using DC Electric Spring

Anu A G1, Dr. Hari Kumar R2and Dr. S Ushakumari3

1,2College of Engineering Trivandrum, Kerala, India

3TrEST Research Park, Thiruvananthapuram, Kerala, India

Abstract: DC micro-grids are prone to voltage instability and voltage flickers due to the

incorporation of renewable sources, nonlinear loads and occasional faults. DC Electric Spring

(DCES) is an innovative technology preferred for mitigating the voltage distortions in power

systems. This paper explores the prospects of DCES in enhancing the power quality of Solar

Photovoltaic (SPV) system fed DC micro-grid. The test system comprises of PV sources with

MPPT using perturb and observe method, battery, DCES and loads. The analysis is carried out in

MATLAB / Simulink with and without DCES. The simulation results reveal the effectiveness of

DCES in stabilizing the system bus voltage and extending the life time of battery in the DC

micro-grid and thereby reducing the environmental hazards from the end of life disposal of

batteries.

Ontology Based Crime Investigation Process

P.Venkata Srimukh, Prof. Shridevi. S

Vellore Institute of Technology, Chennai, India

Abstract: Crimes have been existing since the dawn of Human evolution. Its existence has been a

threat to the society. The ever changing nature of crimes in the world is creating challenges to

the police department as well as the investigating agencies of various wings. To keep up with the

dynamic nature of crimes and the complexity of the crimes committed are being surfaced every

day, solving them became an entanglement to an investigative officer. Due to the lack of

perception or human error in judging an object in the crime scene as a potential evidence, many

crimes over the decades took so many years to solve and some remained a mystery. The paper

presents state of the art for ontologies based approaches that will try to help certain investigative

officer in not only piling up the evidences collected but also draw out a pattern that might

suggest him the approach to solve the case in no time. This system focusses mainly on organized

crimes due to most of the unsolved crimes were being a part of it.

23


- 14th

December.2019

Electric Vehicles Integration with Renewable Energy Sources and Smart Grids

G Sree Lakshmi1 Rubanenko Olena2 G. Divya3 Iryna Hunko4

1Faculty of EE, RICE, UWB, Pilsen, Czech Republic 1CVR College of Engineering, Hyderabad, India. Faculty of EE,

RICE, UWB, Pilsen, Czech Republic 2 Professor, Vinnytsia

NTU, Vinnytsia, Ukraine 3CVR College of Engineering,

Hyderabad, India 4Senior Lecture, PE & Electro Mechanics, Vinnytsia NTU, Vinnytsia, Ukraine.

Abstract: Electric Vehicles (EVs), the prominent Distributed Energy Sources (DER) can act as

important ancillary services which can be used to balance the gird demand and supply during

peak time. EVs provide economic benefits with required energy demand. EVs can reduce the

emission of toxic gases in to the environment and demand for oil resources. To bring the new

technologies and intelligent controls into existing, the integration of EVs with Renewable

Energy Sources (RES) and Grid plays an important role. The market is bringing new EVs and

many other Transportation Vehicles (TV) into picture with larger battery storage capacity. This

new improvements are making capable of machine learning and optimization techniques into

reality. EVs with bi-directional battery storage capability can be connected to the grid and for

many other specific applications, which are called as Gridable EVs (GEVs). In this paper

challenges and importance of Grid connected EVs, such as Vehicle2Vehicle (V2V),

Vehicle2Home (V2H), Vehicle2Load (V2L), and Vehicle2Grid (V2G) technologies are

discussed.

DSPACE1103 Controller for PWM Control of Power Electronic Converters

Amalrajan R1, Gunabalan R1 and Nilanjan Tewari1

1School of Electrical Engineering Vellore

Institute of Technology- Chennai

TamilNadu, India.

Abstract: This paper presents the overview and working procedure of dSPACE1103 controller

and its applications for power electronics converters. The configuration and control desk

parameter settings have been discussed in detail. The pulse width modulation (PWM) for duty

cycle control of DC-DC converter and sinusoidal pulse width modulation (SPWM) for voltage

and frequency control of DC-AC converter using real time interface (RTI) library blocks in

dSPACE and MATLAB simulink blocks in MATLAB simulink environment are presented. The

simple blocksets in simulink and RTI library are used to obtain the control signals in order to

turn on and turn off the power semiconductor switches in converters. The programming skills

and knowledge are not required to generate the control signals. The real time prototype

implementation of DC-DC converter and DC-AC converter in MATLAB with dSPACE

controller is presented. Experimental results are provided to enhance the performance of

dSPACE controller.

24


- 14th

December.2019

A literature survey: semantic technology approach in machine learning

Rachana L, Shridevi S

Vellore Institute of technology, Chennai

Abstract: Semantic technology approach in machine learning is an emerging technique to solve

the problems in the machine learning. Semantic technology has been the improvised from

decades according to the human needs and industrial demands. This new era is all about teaching

a machine to learn on its own and to make it understand the concept and the purpose for what it

is used, using algorithms. This paper, condenses the work of semantic technology approach in

machine learning and its idea put forward. The introduction details with brief explanation

followed by description of the semantic technology and machine learning, important role. The

literature survey contains summarized view of the papers with a graph plotted on the analysis of

paper throughout the decade; a table with summary of the related works and concluded with

review analysis.

Variation-Tolerant In-Memory Digital Computations Using SRAM

Gracin D1, Kichchannagari Omkar2, Ravi V3 Vigneswaran T4

1,2,3,4Vellore Institute of Technology, Chennai, India

Abstract: The static random access memory (SRAM) plays a vital role in the digital world as a

storage device. Since there was no much innovation in processor and memory communication

architecture i.e. Von Neumann architecture which is the throughput bottleneck of the high-speed

processor and low-speed memory. This bottleneck can be solved by attempting in-memory

computation in SRAM and also as the scaling increases the system on board became the system

on chip where more functionality is packed on silicon chip by which the yield has become low

and also the on-chip variation with multiple PVT (process voltage temperature) corners has

become a major issue where the functional verification of memory has become a challenge to the

designers. In this paper, we propose variation-tolerant in-memory digital computation SRAM

with on-chip Built-In Self-Test (BIST) module for testing some of the core Boolean functions

before placing the chip in the functional mode. The investigated circuitry was validated with

industry standard Cadence tools and the results confirm that the memory cell is capable of

storing as well as computing the data.

Defect detection and defect tolerant design of a Multi-Port SRAM

Sushmitha R1, Nisha O R2, Ravi.V3, Vigneswaran T4

1,2,3,4 Vellore Institute of Technology, Chennai, India

Abstract: Static Random Memory (SRAM)-based multi-port memory cell can perform multiple

read and write operations simultaneously, thus increasing data throughput. With the continuous

scaling of transistor feature size, designing low power robust memories for microprocessors and

investigating their failure characteristics become critical. In this work, we present a register file

with a structure of 3-port SRAM cell and a differential current-mode sense amplifier for read

circuitry. We then study the fault models for resistive defect within the SRAM cell and its failure

boundary. The presence of resistive-open defects has become more and more important, due to

ever increasing complexity. A Read Disturb Fault for multi-port memories is tested on the faulty

cell by simultaneous read operations with different numbers of ports. Resistive-open defects in

embedded-SRAM core cells were identified, and a March Test was proposed to cover the fault

25


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December.2019

models. The proposed circuit is simulated and validated for 100 runs using Monte Carlo

simulations.

Mathematical Modelling of Embedded Switched Inductor Z-Source Inverter for

Photovoltaic Energy Conversion

T.Divya1 and R. Ramaprabha2

1,2SSN College of Engineering, Kalavakkam– 603110, TN, India

Abstract: Z source inverters provide single stage power conversion for Photovoltaic (PV)

interface as it does the job of boosting and dc-ac conversion. The topology presented here is

derived by fusing the switched inductor cell (SL) in an embedded switched Z-source inverter

which eliminates the problem of inverter leg short circuit (SC). Its output voltage varies over a

wide range without any requirement of a time delay in turning on the power switches. This

inverter generates high gain factor for the same structural elements in comparison with other

topologies, and is expected to give continuous input current, hence it is more suitable for PV and

fuel cell interface. The mathematical model of ESI-ZSI along with PV array is presented in this

paper. The advantageousness of the ESI-ZSI inverter over few basic inverters will be presented

by comparing the performance of the similar existing topologies reported in the literature.

Hybrid Algorithms to Track Peak Power in solar PV array under all Irradiation

Conditions

R. Ramaprabha1 and S. Malathy2

1, 2 SSN College of Engineering, Kalavakam- 603110,TN, India

Abstract: The non-linear relationship between the voltage and power of the PV array and the

reliance of the electrical characteristics on the environmental conditions makes it essential to

operate the PV array at its optimal operating point. The voltage-power characteristic exhibits

single peak under homogeneous irradiation conditions and multiple peaks under heterogeneous

irradiation conditions. This paper presents and compares two hybrid MPPT algorithms that can

track the optimal power point under all irradiation conditions. Both the algorithms are based on

divide and discard strategy and hence the convergence speed is relatively better than the

conventional hill climbing algorithms. The reliability of the algorithm is tested for various

homogeneous and heterogeneous irradiation conditions on a 3×3 array. The simulated results and

the comparison between the two algorithms in terms of reduction ratio are presented.

26


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December.2019

Deep Learning Approaches for Fall Detection using Acoustic Information



Abstract: Senior citizens are prone to accidents due to their old age. The accidents may cause

severe injuries and even to death if it is not identified and treated within a short period of time.

Also, it is more risk if they stay alone in their homes. To mitigate the risk, an alert system is to

be designed to alert the caretaker about the occurrence of the accident. By mounting three aerial

microphones and one-floor acoustic sensor (FAS) in their room and monitoring the acoustic

information received from the microphone and FAS, the acoustic information of the fall event is

recorded. The acoustic features such as energy, spectral centroid, spectral flux,zero crossing rate

and Mel-frequency cepstral coefficients (MFCC) are extracted from the acoustic signal. Support

vector machine (SVM) network and deep learning neural networks (DNN) with more than two

hidden layers are trained with a reduced set of features obtained with principal component

analysis (PCA)from the acoustic features. DNN classifier is proved to be better than SVM

classifier.The obtained accuracy for DNN is 97 %, the accuracy of the SVM classifier with MLP

kernel and RBF kernel is 50% and 83% respectively.

Financial Analysis of Diesel and Solar Photovoltaic Water Pumping Systems

Pandikumar M1 and Ramaprabha R2

1,2SSN College of Engineering, Kalavakkam, Chennai – 603110, Tamilnadu, India.

Abstract: This paper presents the financial analysis of the existing diesel operated water

pumping systems (WPS) used in the remote areas of Tamilnadu, India. The cost analysis of the

conventional WPS (diesel pump) is compared with the solar photovoltaic water pumping system

(SPV WPS). The SPV WPS uses either an induction motor (IM) or a brushless DC (BLDC)

motor. The induction motor powered SPV WPS can be considered as an alternate solution for

replacing the existing electric motor pumps and the diesel powered pumps. In addition, the

comparison extends to the enhanced BLDC motor operated SPV WPS. The diesel operated

system and AC motors such as IM and BLDC motor operated are compared based on the life

cycle cost of these systems. The cost analysis for the three WPS shows that BLDC operated SPV

WPS is a cost effective solution for the induction motor operated SPV WPS and the diesel

powered WPS.

Half Mode Substrate Integrated Waveguides (HMSIW) Bandpass Filters - A Review

Jeba Saral Darling E1 and Velmathi Guruvaiah2

1, 2 Vellore Institute of Technology, Chennai, Tamilnadu, India.

Abstract: This paper presents the review of various types of half mode substrate integrated

waveguides (HMSIW) Bandpass filters and other HMSIW filters and analyses the

parameters like insertion loss, return loss and frequency bandwidth (FBW). This paper also

reviews the techniques, each author has employed to decrease these parameters. In recent

years, the design of HMSIW bandpass filters seems to be an attractive area for research due

to their advantage of low cost, low loss, and ease of fabrication in addition to the 50%

reduction from its SIW structure.

27


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December.2019

Fault Diagnosis of Self Aligning Conveyor Idler in coal handling belt conveyor

system by Statistical features using Random Forest Algorithm

Ravikumar1, V. Muralidharan

2, P. Ramesh

3, D. Cheran pandian

4

1&2 B.S Abdur Rahman Crescent Institute of Science and Technology, Chennai, India. 3&4 Acadmey of martime Education and Training(AMET) , Chennai ,India

Abstract: A coal handling system equipment is a bulk material handling system. It plays an

important role in key mechanical industries .It holds the important aspects of a country economy

in mining, smelter plants, thermal power plants, process industries etc. Considering operation

attributes of the coal handling belt conveyors, various parameters has to be taken into account

while designing, as it has to convey materials from one location to another continuously for most

part of the year. In broad-spectrum the flat belt coal conveyor has to be with maximum load

handling ability, for conveying over long distance in a single stroke. Hence it has to be steadfast

in design, with easy operation and mainte-nance and high dependability in function. Self-

aligning conveyor roller (SACR) is an important element in coal belt conveyor. It is placed

between the carrying conveyor idlers to vary the sideways dislocation caused by imbalance

loading which is difficult to avoid in harsh loading conditions. When the coal conveyor belt

moves against the carrying rollers there is a difference in frictional force between two sides,

which will make the top strand of the coal belt conveyor to twist towards the center. Further the

crisscross movement, offset from the cen-ter line and damage of coal conveyor belt were

competently prevented by self-aligning conveyor roller. As SACR is found to be critical in coal

belt conveyor systems, it becomes compulsory to supervise its smooth and continuous func-

tioning. To make sure this certain, condition monitoring of self-aligning con-veyor roller

(SACR) should be done periodically which principally creates a classification or categorization

problem. Self-aligning conveyor roller is made of vital elements like groove ball bearing, main

central shaft and the external shell. In this case its categorized with the below mentioned cases

such as coal handling belt conveyor with SACR running in No fault condition (NFC), with

groove ball bearing fault condition (BBFC), with main shaft fault (MSF), with combined ball

bearing fault condition and main shaft fault (BFC & MSF). A model investigational arrangement

has been made as per the actual coal han-dling belt conveyor operating conditions and research

requirement. Followed by the fabrication of SACR setup, the vibration signatures were obtained

from the model for frequently occuring fault discussed earlier. These vibration signatures are

feed to digital convertor and transformed to digital signals. From the digital vibration signals,

statistical features were calculated. Then effective statistical features were extracted and

provided as input to random forest algorithm. Followed by categorization, which was performed

by Random forest algorithm, In the current work, the Random forest algorithm achieved 90.2%

categorization accuracy, which summarizes the algorithm correctness in fault prediction self

aligning conveyor roller failure and life assessment.

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December.2019

Design and Development of Power Electronic Booster to Extend the range of

Supercapacitor powered Electric Bicycle Bharathi Sankar1, R. Seyezhai2, Mani Karthik3

2SSN College of Engineering, Chennai,1,3 International Advanced Research Centre

for Powder Metallurgy and New Materials, Hyderabad-Telangana, India

Abstract: Supercapacitor (SC) powered electric vehicles (EVs) have attractedworldwide

interest in transportation sector owing to their promising characteristics such asrapid

charging cycle (2 minutes), long durability (up to 1 million cycles), delivering high power

during cranking and acceleration of EVs using burst mode power delivery and free

maintenance. Currently, this research focusing on design, development, and demonstration

of E-bicycle by using commercial Maxwell SC as an indigenous module for the first time

proto-typedemonstration in India. Initially, Maxwell SC cells with the specifications of 3400

F, 2.85 V and 3.85 Wh (stored energy) were procured, and the individual supercapacitor cell

was welded with aluminum bus bar using in-house laser welding facility. Later 18 super

capacitor cells were connected in series to obtain an SC module with 51.4 V and 69 Wh

which is sufficient to run the electric motor (48V, 250 W, 10A) in the Bicycle. Further, the

capacitor management system (CMS) has been developed to regulate the voltage and current

in each cell during charge and discharge cycles. The developed SC powered Bicycle has

been successfully tested in real conditionswith the driving range of 2 km. The self-discharge

of SCmodule has been monitored periodically and the data generation of E-bike with

parameters such as motor current, driving range, energy consumption under different load

conditions and speed was systematically carried out. In order to extend the driving range of

E-bike, boost converter in addition to CMS, has been designed to boost up the voltage by

recovering the remaining stored energy in SC module. Finally, developed super capacitor

powered E-bicycle with voltage booster and has successfully demonstrated onroad with an

extended driving range of 2.5 km.

Levy Interior Search Algorithm based Multi-objective Optimal Reactive Power

Dispatch for Voltage Stability Enhancement Karthik N1, A K Parvathy2, Arul R3 and Padmanathan K4

1, 2Hindustan Institute of Technology and Science, Chennai, India 3Vellore Institute of Technology, Chennai Campus, Chennai, 4Agni College of Technology, Chennai

Abstract: Reactive power resource management is a crucial and vital step in order to have a

safe and cost-effective power system option when it comes to voltage stability. The Optimal

Reactive Power Dispatch (ORPD) has a key aim to find out the appropriate control variable

values, for example, shunt VAR compensator settings, generator bus voltages and tap settings of

On-Load Tap Change (OLTC) transformers. This objective is designed, by taking the constraints

into account, and to ensure that the objective function is reduced. In the current research work,

the researchers proposed a Levy Interior Search Algorithm (LISA) in order to elucidate multi-

objective optimal reactive power dispatch challenges that mitigate the real power loss and at the

same time, it also saves the voltage quality. In this research article, the researchers considered

real power loss and voltage stability index as objective functions. The paper has a primary

objective i.e., by taking large-scale power system into account, the researchers proposed a multi-

objective interior search algorithm in order to get rid of multi-objective ORPD problem and to

yield the best results from the secure and cost-effective operation of electric power systems. The

researchers simulated the setup under IEEE 57-bus and large-scale IEEE 300-bus system to

emphasize the efficacy of LISA. From the results, it can be confirmed that the proposed

approach yielded much better results than the existing algorithms.

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December.2019

Optimal Fractional Order Controller for Frequency Regulationin Restructured

Environment

R. Jennathu Beevi1, R. Jayashree2, Peer Fathima A 3

1,2 B.S. Abdur Rahman.Crescent Institute of Science and Technology, Vandalur,

Chennai, Tamilnadu, India 3 School of Electrical Engineering, VIT, Chennai, Tamilnadu, India.

Abstract:The paper presents the application of FOPI (Fractional-order Proportional Integral)

controllerin a multi-area thermal powersystem to maintain frequency regulation. In two distinct

scenarios, the system is evaluated: load following and AGC with contract violation and load

following controller sharing ACE(Area Control error). The controller gains are tuned by the

algorithms namely ALO(Ant Lion Optimization) and MFO (Moth Flame

Optimization)withITAE (Integral Time Absolute Error)as the performance index. The gains

optimized by the algorithms are compared under bilateral contract scenario. It is realized that

FOPI optimized by MFO exhibits better steady-state and dynamic performance.

Coordinative Control of tuned Fuzzy logic and modified sliding mode controller in

PMSG based Wind Turbines M. Rajvikram1, J.Vishnupriyan2

1 Sri Venkateswara College of Engineering, Chennai, India 2 Chennai Institute of Technology, Chennai, India

Abstract: The work reported in this research paper is to implement the power maximization

control technique towards the rectifier side of the PMSG -based grid connected WECS. To prove

that, proposed tuned two input fuzzy based Maximum power point tracking controller is better

than the normal fuzzy based single input MPPT controller. The simulation results of both the

controllers are realized and the substantiating improvement in terms of real power produced

across the grid is analyzed. It is found that the performance of tuned FLC is better. In most of the

existing literatures, commonly occurring asymmetrical faults are taken for consideration to

assess the transient study of the WECS. As a second part of analysis, in the proposed work,

rarely occurring fault such as three phase symmetrical fault (LLL) is also taken into account

along with asymmetrical fault and the study is thoroughly conducted by injecting the fault

towards the grid side in MATLAB simulink environment. The motive of this study is that,

though the symmetrical fault is rarely occurring, the negative impact it creates on the system is

very high. It is a main factor that has to be considered while designing the controllers. SMC is

proposed in order to bring the system back to the normal state during the period of fault

occurrence for any kind of fault towards the grid side. This paper throws light on a fact that even

during grid fault conditions, the proposed tuned FLC and SMC holds good in coordination of

system functions. The entire wind system is modeled in such a way that there is perfect

coordination between tuned FLC and SMC during steady state and transient state conditions.

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December.2019

Feasible settlement process for primary market using Distributed slack power flow

strategy

Ruby Vincy Roy F1 ,Peer Fathima A2 and Arunachalam S3

1, 2 School of Electrical Engineering, VIT, Chennai-600127,India 3 Jubail Industrial College, Al Jubail 31961, Kingdom of Saudi Arabia

Abstract: The paper proposes feasible and acceptable Distributed Slack Power Flow (DSPF)

formulation for the settlement process of active power market in deregulated system with single-

sided bidding. In general market clearing is done using single slack bus model but whenever

marginal bus changes loss price varies drastically. In order to prevent the sudden changes in loss

price, optimization using Distributed slack model is suggested in this paper. The loss factor

approach is used in determining the feasible participation factor. The proposed strategy is

verified using PJM 5 bus system.

NARX-EMFO Based Controller Optimization for pH Neutralization in Waste

Water Treatment

Naregalkar Akshaykumar1 and Dr.D.Subbulekshmi2

1,2 Vellore Institute of Technology , Chennai , India

Abstract: In order to meet the growing water demand, two sustainable options are available –

desalination and wastewater recycle and reuse. The wastewater recycling and reuse concept,

which is already prevalent in most of Europe and America, is currently in high demand in India

with swachh Bharat mission and smart cities program of Government of India .The necessity to

treat wastewater for recycling and reuse is slowly gaining grounds in industries, municipalities

and residential segments. The wastewater can be treated with different means- physical process

like separation of suspended solids, chemical process like pH neutralization and biological

process to decompose organic substances. In pH neutralization of wastewater, the incoming

untreated wastewater has a wide range of pH, and it is difficult to treat wastewater with such a

high variability of pH. Neutralization is the process used for adjusting pH to optimize treatment

efficiency. Neutralization may take place in a holding, rapid mix or an equalization tank. In this

work, a novel approach using NARX model and Enhanced Moth Flame Optimization is

proposed for pH neutralization of the waste water and its performance is compared with ARX,

ARMAX and BJ’s model performance in terms of ISE, IAE , MSE , settling time and peak

overshoot for evaluating controller performance. The outcomes are then evaluated for both

proposed and existing approaches to prove the effectiveness of the proposed scheme for the case

under study.

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December.2019

Optimal Placement of DG and Controlled Impedance FCL Sizing Using Salp

Swarm Algorithm

Vasavi.C1, Dr.T.GowriManohar2

1Sri Venkateswara University, Tirupati, India. 2,Sri Venkateswara University,Tirupati,India.

Abstract: Smart grids have become one of the most emerging technology in power systems by

its fashionable design, reliability and efficiency. Smart grid is the integration of multiple DGs .In

this context, DG (Distributed generation) plays a significant role in power system. When DG is

connected to the distribution network, the impact of fault currents are high which can cause

protection coordination failure in smart grids. In this paper, three phase fault current which is the

highest fault current in distribution network and its effect on DG is discussed. Controlled

Impedance Fault Current Limiter (CI-FCL) combination of both resistive and reactive

component is used to maintain fault currents. The problem is formulated as integer, non-linear

constrained problem. Optimal location of DG and CI-FCL sizing is determined by using Salp

Swarm Algorithm (SSA) and it is tested on IEEE 33 and 69 standard distribution bus systems in

MATLAB2017. A comparison between the developed SSA and PSO is executed in terms of

complexity, No. of iterations, and computational time. The result shows that the proposed

method is effective.

Vision Based Lane Detection for Advanced Driver Assistance Systems


Vellore Institute of Technology, Chennai – 600127

Abstract: Lane lines play a key role in indicating traffic flow and directing vehicles Lane

detection serves as a core component in most of the modern day Advanced Driver Assistance

Systems(ADASs). Computer vision based lane detection is an essential technology for

selfdriving cars. This paper proposes a lane detection system to detect lane lines in urban streets

and highway roads under complex background. In order to nullify the distortions caused by the

camera lenses we generate a distortion model by calibrating images against a known object

reducing inaccurate measurements. Generalized filtering approach using Sobel operator (Canny

edge detection) in HLS color space. A bird eye view of image is generated using perspective

transformation. A special search strategy using sliding window algorithm is used to detect lane

lines and later curve fitting is done using polynomial regression. Thus obtained lane detector is

overlaid upon a video to fill the detected portion of the lane. Then it is applied to the video to

detect lane lines. The image processing pipeline is written in Python using OpenCV libraries and

video processing is done using MoviePy. In this paper the system developed is tested by

applying it on a video taken from a camera mounted over the car. The environment used to

implement the system is Anaconda. The results obtained show that the proposed system for lane

detection, self-calibration and vehicle offset estimation are effective, accurate for both straight

and curved lanes and robust to challenging environments.

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December.2019

Optimization of Electric Field Distribution along a 400kV Composite insulator

Archana C1 and Usha K2

1 SSN College of Engineering, Kalavakkam, Chennai. 2 SSN College of Engineering, Kalavakkam, Chennai.

Abstract: Polymeric insulators are being widely used over ceramic insulators due to their

tremendous merits. However, due to absence of the intermediate metal part, electric field and

potential distribution along these insulators are non-uniform, which can be minimized by using

suitable corona ring and grading ring. The aim of this work is to provide an optimum design of

corona ring and grading ring for a 400kV suspension type polymeric insulator. Finite Element

Method based software is used for simulation purposes. This paper presents the results of 3D

Finite Element calculations of electric field distribution along a 400kV polymeric insulator. An

optimum dimensions are predicted using Multi-objective genetic algorithm. The predicted

electric fields are compared with the actual values.

Effect of Stray Capacitance in location of Inter disc Fault in Transformer Winding

Usha K1 and Usa Savadamuthu2

1 SSN College of Engineering Kalavakkam, Chennai 2 Anna University Guindy, Chennai

Abstract: Inter disc short circuit faults are the leading cause of power transformer failures.

These failures usually develop into more serious faults. Hence detection and localization of

winding faults is indispensable for prevention of damages as the outage may lead to costly, time

consuming repair and replacement of the equipment. This contribution is aimed at locating inter

disc faults using the impedance characteristics and the effect of stray capacitance of the

transformer winding. In this work, Simulation and measurements are performed on a 22kV

prototype continuous disc winding to predict the location of fault using Sweep Frequency

Response and stray capacitive analysis.

Sustainable Energy Technologies: Energy resources for portable electronics-A Mini

Review

M Malini1, P.Sriramalakshmi2, M.Sujatha3

1, 2 Vellore Institute of Technology, Chennai campus, Tamilnadu, India

3 Hindustan Institute of Technology and Science, Chennai, Tamilnadu, India

Abstract: Portable Electronic Devices (PEDs) are gaining more attention. Various portable

electronics devices are used on a daily basis, and the best example for it is the smart phones due

to its attractive features such as, light weight, compact size which enables it to be carried around

easily. Owing to the continuous technological development, there is a drastic increase in the need

for more energy sources. As the portable electronic devices evolve, the demand for new types of

energy sources is growing. In the current situation, new developments are being made and the

sustainable energy sources are now taking a front seat. Some of the developments, their benefits

and problems are discussed in this research article along with new solutions.

33


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December.2019

Vector Control Scheme for PMSG Based WPS under Various

Grid Disturbances

Vijaya Priya R1, Elavarasi R2

1 VIT, Vellore-632014, Tamil Nadu, India

2 AMET Deemed to be University, Chennai, Tamilnadu, India

Abstract: This paper proposes a simple modified vector control scheme for restraining the impacts

on permanent magnet synchronous generator (PMSG) based wind power system (WPS) integration

under various grid disturbances. Voltage sag and harmonics are the major causes of grid voltage

disturbances. The percentage of voltage sag for which WPS remains to be connected with the grid is

dictated by fault ride through (FRT) characteristics. Moreover, voltage sag occurred due to short-

circuit fault has its associated phase-angle jump. Hence, it is necessary to map the voltage sag with

phase-angle jump to meet the broad range of FRT requirements. A new analysis with major types of

faults that can occur at the point of grid integration is presented in this paper. In order to satisfy the

grid code compliances and reduced harmonic distortions, the modified vector control scheme is

modelled with additional voltage and current oscillation cancellation blocks without the need for

dual vector control loop. Extensive analytical simulation has been carried out in PSCAD/EMTDC to

validate the superiority of proposed control scheme over the conventional schemes in terms of

transient overshoots and oscillations that appear in dc- link voltage and real and reactive power of

grid when PMSG is subjected to various disturbances.

Phase Balancing of DG Integrated Smart Secondary Distribution Network

Swapna Mansani1, Udaykumar RY2, Santoshkumar3, Asha Rani MA1, Sreejith S1

1NIT Silchar, Silchar, Assam, India.

2 Malaviya National Institute of Technology Jaipur, Rajasthan, India. 3REVA University, Bengaluru, Karnataka, India.

Abstract: Distributed Generations (DG) are integrated in secondary distribution network level with

evolution of smart grid concepts in low voltage power systems. Distribution system is complicated and

a significant contributor to the overall losses of power system, wherein the losses due to unbalanced

loading at each bus is often overlooked and is vital to consider the same. With this motivation, the

effect of phase balancing at each bus on system (with DG) losses is examined and investigated in this

paper. It is achieved through the development of phase balancing algorithms (PBA) in combination

with backward sweep technique requiring an overall lesser computational effort. The developed

algorithm is tested in MATLAB considering the IEEE 13 bus. The performance of the developed

algorithm is evaluated with an objective to reduce line losses, the number of rephasings, branch

current and neutral current, thereby to enhance the bus voltage profile.

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December.2019

Maximum Power Extraction from a Wind Driven DFIG under Unbalanced Grid Voltage

Swapna Mansani1, Udaykumar RY2, Santoshkumar3, Asha Rani MA1, Sreejith S1

1 NIT Silchar, Silchar, Assam, India. 2 Malaviya National Institute of Technology Jaipur, Rajasthan, India.

3 REVA University, Bengaluru, Karnataka, India.

Abstract: This paper presents a sensorless scheme for the extraction of maximum power from a wind

turbine driven Doubly-Fed Induction Generator (DFIG) in a smooth and uninterruptable manner.

Without tailored control measures, constant power generation and maximum power extraction under

grid voltage dips are challenging control tasks due to the severe pulsations in power and torque. The

focus of this study is on analyzing the effectiveness of the sensorless scheme under maximum power

extraction from a DFIG based wind energy conversion system subjected to grid unbalance and

parameter variations. The scheme is implemented in the positive synchronous reference frame based

on stator flux oriented vector control with computed speed. The rotor speed is computed in a straight

forward manner using the basic mathematical model of Induction Machine using the measured stator

and rotor currents and stator voltage with the known rotor position. The minimization of double

frequency pulsations in power and torque under grid voltage unbalance and maximum power

extraction are established through Rotor side converter (RSC) control whereas, a constant, ripple free

dc link voltage and unity power factor on grid side are maintained viz. control of Grid Side Converter

(GSC). The MPPT operation is demonstrated using numerical simulations in PSCAD/EMTDC for a

2.3kW DFIG test set up. The overall results show the enhanced performance of DFIG under maximum

power extraction with the proposed scheme.

Estimation of Pay Back Period Incorporating SVC and ICSC in SCUC Problem

Sreejith.S1, Asha Rani M.A1, Swapna Mansani 1

1National Institute of Technology, Silchar.

Abstract: This paper focuses in estimating the payback period and percentage recovery with Static

Var Compensator (SVC) and Thyristor Controller Series Compensator (TCSC) in an SCUC problem

applying Artificial Bee Colony (ABC) algorithm. ABC algorithm mimics the foraging behavior of

employed, unemployed and scout bee in a bee colony system. SCUC problem aims in reducing the

operating cost satisfying all system, unit and security constraints. The SCUC problem is disintegrated

as master problem (Unit Commitment – UC) and sub problem (Security Constrained Economic

Dispatch – SCED). The capability of SVC and TCSC to regulate the power flow in lines and

alleviating the overloading are exploited here. The optimal location of the SVC and TCSC in a power

system network is clearly illustrated. The profit obtained with SVC, TCSC and the payback period of

these devices are explained with respect to installation cost. The gain obtained with SVC and TCSC

including annual maintenance cost for a certain period of time is illustrated. SVC and TCSC are

modeled based on variable reactance modeling technique and incorporated in IEEE 118-bus and South

Indian 86 bus systems at their optimal locations. The total generation cost obtained by solving SCUC

using the heuristic approach is compared with existing methods in literature.

35


- 14th

December.2019

Review of Particulate Matter Filters

Nerella Venkata Sai Charan1, Krithiga S.2 and Partha Sarathi Subudhi3

1, 2, 3 Vellore Institute of Technology, Chennai, Tamil Nadu, India

Abstract: Increase in particulate matter (PM) in air cause a biggest threat in the 20th century. In order

to filtrate PM from air, filters are employed. These filters are called as particulate matter filter (PMF).

These filters separate the PM from the polluted air. The processes followed by PMF to separate the

PM from the polluted air are filtration and adsorption. Different filters are developed for this purpose.

This paper presents a critical review of different types of particulate filters. Porous and fibrous type

filters are discussed in this paper. This paper explains the fabrication process of different PMF along

with its advantages and limitations. This paper helps researchers in choosing PMF for their specific

application.

IOT Based Energy Management System With Data Logging Capability

Gnana Swathika O V G, Kanimozhi G Umamaheswari E Rujay Soj and Soudeep Saha

VIT Chennai, India

Abstract: With increasing energy demand and the necessity to fulfill the energy requirement it is

mandatory to increase the energy generation. However, shortage of supply resources stands as a

blockade in this present scenario. Hence, an efficient energy management system is required. This

paper demonstrates a working prototype of intelligent energy management system. It is an IoT based

energy management system with webserver type manual control. It involves serial communication

between microcontrollers such as Arduino Uno and NodeMCUs, sensors and computational

intelligence. The sensors used in this case are LDR, thermistor and PIR motion sensor. The system

includes LED lights and fans as load. The raw data from the sensors is read by the Arduino and it

serially communicates the raw data to both the NodeMCUs. The data is then converted to standard

formats and uploaded to the ThingSpeak cloud server for data logging and analysis by one of the

NodeMCU. Using the second NodeMCU a webserver is created and used for manual control of the

loads. This Wi-Fi Server sends data to the NodeMCU as per the user input from the browser and this

NodeMCU controls the load accordingly. A current sensor is also connected along the supply line for

power measurement. The current sensor is an ACS712 20A sensor which is connected to the

NodeMCU is responsible for uploading data to the ThingSpeak cloud server. The working model has 3

rooms for demonstration purpose but can be increased accordingly as per need with certain changes in

system hardware model.

36


- 14th

December.2019

Investigations on Salp Swarm Algorithm to solve Combined Heat and Power Economic

Dispatch

Arunachalam Sundaram1, Peer Fathima A2, Stella Morris3 and Ruby Vincy Roy F 4

1 Jubail Industrial College, Al Jubail 31961, Kingdom of Saudi Arabia 2,4 VIT, Chennai 600127, India 3 Univeristi Tunku Abdul Rahman, Sungai Long, Malaysia

Abstract: Combined heat and power economic dispatch is an important optimization problem in a

power system integrated with cogeneration units. In addition to the optimal solution satisfying the

power balance equality constraint and the bounds of the thermal units, it must also lie within feasible

operating region of the cogeneration units. This increase the complexity of the problem and a potent

metaheuristic algorithm is required to solve the problem. This paper investigates the optimal solutions

of the combined heat and power economic dispatch problem obtained by a recent metaheuristic Salp

Swarm algorithm. Transmission losses of the power system and valve point loading have been taken

into consideration in this work. The algorithm is tested on standard test system available in literature.

The results indicate there is scope for improvement of the Salp Swarm algorithm to solve combined

heat and power economic dispatch problem.

Extendable high gain DC-DC converter with APICs

Amritha.G, Kanimozhi.G, O.V.Gnanaswathika and Abirami.M

VIT Chennai, India

Abstract: For high-gain applications, mainly Microgrid, an extendable DC-DC converter is studied in

this paper. Active-passive inductor cells are used in the converter structure described. It makes the

topology expandable and in lower duty cycles provides a high gain quality. The model benefits also

include lower voltage on switches, high efficiency, and minimum output voltage ripple. The converter

is tested in both continuous and discontinuous operating modes for high-gain applications. The

analyzes include theoretical calculations as well as simulation tests to infer topology plus points in

high-gain applications.

Analysis of wind speed data in Tadipatri region in Andhra Pradesh

Reshma Gopi .R Chitra. A , Pujari Harish Kumar and Mageshvaran R School of Electrical Engineering,Vellore Institute of Technology, Vellore, India

Abstract: Wind energy is one among the renewable energies, which has been utilized effectively to

maintain the ecological balance of the environment. The wind speeds (m/s) at the 10 m level above the

ground level in Aluru Kona site (latitude of 14.920, longitude of 78.020 ) and Ellutala site (latitude of

14.559 ,longitude of 77.779 ) for a period of 01.01.2019 to 01.02.2019 are used to es-timate wind

power density. The benchmark data is obtained from MINES ParisTech, Center for Observation,

Impacts, Energy(O.I.E.) France web por-tal.The research work is limited in the regions of Andhra

Pradesh: Anantapur district, Tadipatri, for Aluru Kona village and Ellutala village wherein the wind

power plants have located. In this work, an empirical method is being utilized for the estimation of the

Weibull probability distribution parameters (shape pa-rameter, scale parameter) and cumulative

function which provides an estimate of wind energy assessment and the wind power density.

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December.2019

Impact of Distributed Generation on Distribution System Under Fault and Islanding

Condition Pujari Harish Kumar

1 , R Mageshvaran

1 Guru Mohan Baleboina

1, K.Vasavi

2

School of Electrical Engineering, Vellore Institute of Technology, Vellore, Vellore, Tamil Nadu, India,632014.

Department of Electrical and Electronics Engineering, East Point College of Engineering, Bangalore, India.

Abstract: The energy drawn from the wind power plant and photovoltaics are considered to be

essential sources in the recent distributed generation (DG) of electrical power. Since, a day-to-day load

demand for electricity is increasing rapidly and therefore the generation of power, needs to be

improved for balancing the current demand. Because of this growing demand, non-renewable energy

sources are on the brink of extinction. In order to solve this problem, the concept of integration of

renewable energy sources has been introduced in electrical distribution system and thereby improves

the power quality and reliability to meet out the existing needs of the customers. Hence, the concept of

installation of the DG has an impact on the operation and characteristics of the electrical distribution

system. Installing the DG units near to the load centers can solve the basic problems such as power

losses and voltage drops. The overall system is simulated in MATLAB environment in which, the

three-phase grid-connected photovoltaic system is integrated with the parallel loads. The outputs are

being measured in the form of the power, voltage and current at various points in the existing system

and are analyzed in both the normal and faulty conditions. At Point of Common Coupling (PCC),

variations in voltage and current under different types of fault conditions, intentional islanding and

nuisance tripping of load cases are analyzed without protection device.

Development and implementation of the smart energy monitoring system based on IoT

Barsana banu J1, Jeyashanthi J

2, Thameem Ansari A

3 and Sathish A

2

1Anna University, BIT Campus, Tiruchirappalli, Chennai 2 Sethu Institute of Technology, Kariapatti, Chennai 3Petroleum Research Center, KISR, Safat, Kuwait

Abstract: This paper is designed to measure energy consumption in home and buildings and to

generate its bill automatically. It is accomplished by utilizing a Smart energy meter with the Internet of

Things (IoT) technology, which will permit the user to successfully observe the energy meter

calibrations and verify the electricity bill via the online. Our projected scheme utilizes Arduino to

track utilized energy and to send out the units along the cost charged over the inter-net. The Liquid

Crystal Display (LCD) module is interfaced with Arduino, and the measured voltage, current, power,

and the corresponding bill are displayed to the consumers. Arduino also sends data to the Adafruit

cloud using the Wi-Fi module NodeMCU ESP-12. This smart meter will permit both the consumer

and electricity supplier to ensure the energy usage quickly among the cost charged online. Power cost

analysis of a month for a smart home is done in a separate section. Finally, the hardware is

implemented with various loads, and results are displayed via LCD.

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December.2019

Performance and reliability analysis of 13 level asymmetrical inverter with reduced

devices Abeera Dutt Roy and Chandrahasan Umayal

VIT Chennai, India

Abstract: This paper presents an asymmetrical multilevel inverter topology, which employs reduced

power electronic devices to produce thirteen levels at the output voltage. This reduction in the

components results in the curtailment of the size, cost, switching and conduction losses. A

comparative study of the proposed topology with the recent ones are presented. Nearest level Control

(NLC) is uti-lized for the generation of gating pulses. A reliability analysis is performed using Markov

reliability calculation and the efficiency of the overall system is im-proved. Simulation and

experimental results are provided for resistive and induc-tive loads.

Performance Enhancement of Permanent Magnet Synchronous Motor Employing

Iterative Learning Controller with Space Vector Pulse Width Modulation

Subha Lakshmi N1, Dr.Allirani S

2, Sundar S

3, Vidhya K

2.

1Sri Krishna College of Engineering & Technology, Coimbatore, Chennai, India

2Sri Ramakrishna Engineering College, Coimbatore, Chennai, India

3Bannari Amman Institute of Technology, Coimbatore, Chennai, India

Abstract: The Permanent Magnet Synchronous Motor (PMSM) generate the magnetic flux on its

own as the rotor has permanent magnet and thus the motor never depend on any exterior source. The

torque and speed ripples are the some of the disadvantages which affect the drive performance

particularly at lower speed. This paper proposes the performance enhancement of permanent magnet

synchronous motor employing Iterative Learning Control (ILC) and Space vector Pulse width

modulation (SVPWM) driven by field oriented control (FOC) to reduce both the speed and torque

rippe.The result is compared with conventional Proportional Integral (PI) controller.The outcome

shows the reduction in torque and speed ripple which enhance the drive performance by using the

above technique.The hardware result is obtained from DSP controller.

A Novel approach for Hobby class Remotely Operated Vehicle T.M.Thamizh Thentral T.V. Abhinav Viswanaath S.Senthilnathan R. Bhargav

SRM Institute of Science and Technology, Kattankulathur, Chennai, India.

Abstract, Now-a-days, technology is becoming very advanced. Machines are capable of Increasing

efficiency, precision, speed and reducing the risk factor encountered by people. Our project deals with

one such case concerning underwater exploration. Many people are finding it difficult to go under

water for taking measurements, exploring the sea bed and surveying before commissioning some mega

off-shore projects due to factors such as strong currents and lack of knowledge about what’s inside.

The proposed system will go underwater and help us in getting a live stream of what’s happening

inside. It incorporates three-axis (x,y,z) movement and is provisioned with a Light control to increase

the visibility underwater. It comprises of Ground Station, Communication Link (Tether) and the

vehicle itself. It is a Hobby class Remotely Operated Vehicle implemented using Px4 as the central

flight controller, Raspberry Pi as companion computer and QGroundControl as the ground station.

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December.2019

Delicate Flower Pollination Algorithm for Optimal Power Flow S. Dhivya

1 , R. Arul

1 and K. Padmanathan

2

1VIT Chennai, India

2Agni College of Technology, Thalambur, Chennai, India

Abstract: This paper has been emphasized to develop a new methodology for Optimal Power Flow

(OPF) using delicate flower pollination algorithm (DFPA). Being an essential key factor in the ocean

of power sector, its operational features and controlling attributes have been making the available

power resources to flow in a fair manner. The DFPA, a nature intriguing algorithm has originated from

the pollinating characteristics of flowers. The proposed method has sounded very louder on the global

optimum solution using DFPA through propagating the exploitation phase of optimization by

considering two test-case studies such as shortened Fuel Cost and Real Power Loss decrement.

Simulation results on IEEE_standard 30 bus test system have clearly exhibited that the proposed

method outperforms the existing numerous strategies.

A Review on Topological Aspects of Transformer less Dynamic Voltage compensators Mohanasundaram Ravi and Chendur Kumaran.R

VIT Chennai, India

Abstract: The necessity of Power Quality (PQ) is always in demand by the power consumers. This

paper presents a review on Transformerless Dynamic Voltage Compensators (TDVC) topologies for

voltage related PQ enhancement. Transformerless topology ensures that the device is less cost, smaller

in size compared to ordinary compensators. This paper gives the knowledge of all past and recent

TDVCs which helps engineers and researchers to find out which transformerless topology suites better

for their compensation.

Lighting Design for a Campus Hostel Building Using Single Stage Efficient Buck LED

driver Srimathi R, Kishore Eswaran, S.Hemamalini and Kamatchi Kannan V

VIT Chennai, India

Abstract: Lighting is an important feature for the interior of a room as it produces a good state of

mind, atmosphere, and beautiful appeal in living space. Light and lighting fixture creates a pleasant

and safe habitat besides adding style to the interior of a room. Moreover, as lighting consumes nearly

35% of the total electricity consumed in a building, LED drivers are proposed to increase energy

efficiency. Lighting design is mandatory for the placement of lights to have good illumination.

Thereby, lighting design is done for a two bedded hostel room with fluorescent and LED lights and

their performance is analysed. A Phase Shifted Buck Converter (PSBC) LED driver is designed and

experimented for 24W and 6W to retrofit the existing fluorescent lights in the two bedded room. The

results show that the output lumens and efficiency of PSBC LED driver is higher than Conventional

LED driver (CBC). Based on the PSBC experimental results, a lighting design is done using dialux

software for the existing room with fluorescent lights and a retrofitted room using PSBC and LED

lights. The simulation results show that PSBC driver provide good illumination and has better energy

savings. The estimated installation cost, energy savings and energy efficiency for the PSBC driver and

a conventional buck driver also prove that PSBC driver is a better alternative for energy savings.

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December.2019

Graphical Model and Model Search for Medical Data Analysis

Naimish P Mehta, Arathy S Prasad, Dr. Menaka R and Thanga Aarthy

VIT Chennai, India

Abstract: Learning the electrophysiological activities inside the human mind is a significant step

towards studying the human brain. Systems, as electroencephalography are significant instruments for

considering the neurophysiologic activities, in view of their high value of temporal and spatial

resolution. In the biomedical research, identifying brain abnormalities such as Autism spectrum

disorder through electroencephalography (EEG) signals is as an extremely exhausting issue for

specialists and human services experts. The high volume of data available with EEG will be a useful

biomarker for the classification of autism and typical children. Traditional techniques faces challenges

to deal with such Big Data. So we present a strategy for autism identification by analyzing the EEG

signal through mathematical model. One such modeling using graph theory is applied in this work.

The EEG signals are acquired from 3 autism and 3 typical children. The functional connectivity

among the neuron regions are plotted through small world networks. From this graphical models using

a software tool Gephi, the graphical parameters as betweenness centrality, degree, weighted degree,

closeness centrality, modularity and clustering coefficient are calculated. There is significant

difference among these parameters between autistic and typical children.

Forecasting US Presidential Election 2016 using Regression Models and

Sentimental Analysis

V Pattabiraman and Sajjad Saif Gazali

VIT Chennai, India

Abstract: Predictive Analytics is emerging as one of the popular branch of Machine Learning with

huge amount of money spent on to research, build and test models to improve the accuracy of the

outcome. In our paper we have implemented different regression models such as Logistic Regression,

Support Vector Machines, Naive Bayes Classifier, Neural Networks and Extreme Gradient Boosting

to forecast the result of the election data for example we have used US Presidential election 2016.

Social media websites have become a very popular communication platform among users. Millions of

users share their opinions, extend their support and vent their anger on various government policies

and on different aspects of their life. Hence, social media websites contain huge amount of data for

sentimental analysis. We have narrowed our attention towards Twitter, the most popular

microblogging website for performing sentimental analysis using the opinions shared by the users on

twitter.

41


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December.2019

Fuzzy System Approaching On Designing Intelligent Process - A Modelling For

Thermal Power Plant

Subodh Panda, Nagesh Deevi

Pragati Engineering College, Andra Pradesh

Abstract: This research work focus on power thermal power plant efficiencies, which associated with

many more indirect losses and has been broadly examine for proposeful solution for it. Waste heat can

be primary point here, which be suitable to reuse at certain heating process, is a concept of efficiency

improvement. Some of most sensitive point like draying of fuel, preheating air for combustion

monitoring, and rising of feed water temperature is observed for better approach during this work plan.

It is theoretically proved, minimisation of an extra 3% wt. on moisture of fuel and rise up to inlet air of

35oC. Improving efficiency by 1% and saving of 50 ton of fuel on and average during a year. An

intelligent process has been designed that operate, monitor and control properly for heat recovery. Due

analysis of traditional PID with proposed FUZZYPID after the result, justify its utility over nonlinear

complex to nonlinear process. So this proposed intelligent process accepted for all range of operating

condition with most expected developing of efficiencies.


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December.2019

42

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