07_Electricity Assurance - Grid Automation Presentation - Oct 2012 -V1.0

8/14/2019 07_Electricity Assurance - Grid Automation Presentation - Oct 2012 -V1.0

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COPYRIGHT 2011 ALCATEL-LUCENT. ALL RIGHTS RESERVED.

Service Assurance Solutions for utilitiesGrid Automation

Miguel Hernandez

Bell Labs NPPE, BM SI

October 2012


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COPYRIGHT 2011 ALCATEL-LUCENT. ALL RIGHTS RESERVED.ALCATEL-LUCENT CONFIDENTIAL SOLELY FOR AUTHORIZED PERSONS HAVING A NEED TO KNOW PROPRIETARY USE PURSUANT TO COMPANY INSTRUCTION

Bell Labs Introduction and Alcatel-Lucent Expertise in Utilities

Defining the Smart Grid. What is it?

Enabling Teleprotection as the Paradigm of Mission Critical Applications

How Can Smart Grid Communications Be Implemented?

Transmission Grid Transformation (Transpower) Getting to the Integrated Smart Grid: Advance Metering Infrastructure (PECO)

Big Data Analytics: Making the Grid Smarter

What is it?

Why Data Analytics?

Applications of Machine Learning

Fully Integrated Smart Grid with Data Analytics Platform (EPB)

Conclusions

Agenda


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BELL LABS AT A GLANCE

26,000 active patents worldwideActive in over 100 standards bodies

Leading non-academic Highly Cited institution(Physics, Engineering, Math, Materials, and Computer

Science Journals. Source: Thomson ISI)

Nobel Prizes in Physics

U.S. Medals of Science

U.S. Medals of TechnologyDraper Prizes

John Tyndall Awards

GRAMMYAward

Marconi Fellowship Awards

C&C Prizes

IEEE Medal of Honor winners

Emmy Award

General Ferri Award

Blondel Committee Medal

7

9

122

3

1

6

7

28

1

1

1

Collaborating with more than250 universities worldwide

Multiple Open Innovation Initiatives


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Alcatel-Lucent in utilities

More than 20 years experience as a

provider of mission-criticalcommunications to the energy industry

Advising and architecting best practicenetworks

Solution design, equipment supply,turnkey delivery, managed operations

Delivery of a variety of communicationsprojects supporting critical operations:

Management of safety and reliabilityon electricity transmission grids

Reliable and efficient operations of

electricity distribution networks Smart metering and smart grid

technologies for the future

An experience that enables leadership in smart grid development


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Delivering to a wide range of customerswith a variety of business focal points

A range of utility projects from last 5 years

Mission Critical networks

Smart Grid transformation

Utility Telco


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Teleprotection the Paradigm of Mission Critical Applications


Transmission Grid Transformation (Transpower)

Getting to the Integrated Smart Grid: Advance Metering Infrastructure (PECO)


What is it?

Why Data Analytics?



Conclusions

Agenda


7/34COPYRIGHT 2011 ALCATEL-LUCENT. ALL RIGHTS RESERVED.

ALCATEL-LUCENT CONFIDENTIAL SOLELY FOR AUTHORIZED PERSONS HAVING A NEED TO KNOW PROPRIETARY USE PURSUANT TO COMPANY INSTRUCTION

Defining Smart Grid: What is it?

Smart grid described in a study conducted by the Electric Power Research Institute refers to:

"A moderni zation of the electr icity del ivery system so that it monitors, protects and

automati call y optimizes the operation of i ts interconnected elements from the central

and distr ibuted generator through the high voltage transmission network and

distr ibuti on system, to industr ial users and bui lding automation systems, to energy

storage installations, and to end-use consumers to their thermostats, electr ic vehi cles,

appliances and other house-hold appliances"




Smart Grid Definition: Functional Elements











What is it?

Why Data Analytics? Applications of Machine Learning


Conclusions

Agenda




Key Challenges for Teleprotection

End to End Delay

Jitter

Asymmetry

Resiliency

Denial of Services

Synchronization

Quality of Service

Depending on vendor equipmentMay include packetisation/depacketisation

Variation of delay in certain circumstances such

as traffic burst on network

Delay variations between transmit and receive

The impact of a failure in the network shouldntbe noticed by application

TDM applications need end to endsynchronization

How DoS/DDoS can affect applications

Guaranteed bandwidth, low latency and jitter

Enhanced QoS on different network layers


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Criticallity of Teleprotection: Latency Challenge

ApplicationDelay

allowance

(maximum)

Priority(0-min

100-max)

Comments

Teleprotection 10 ms 2 50 Hz in EU

SynchroPhasor measurements (Class A) 60 ms 10

SCADA data poll response 100 ms 25 100-200 ms

PMU clock synchronization 100 ms 20

Push-To-Talk Signaling (critical) 100 ms 30VoIP bearer (including Push to talk) 175 ms 50 175-225ms

On demand CCTV video 200 ms 55

Most other distribution and SCADA applications 250 ms 45 250-500 ms

AMI critical (eg, meter registration in black start) 250 ms 60

AMI priority (eg, demand response) 300 ms 70

SynchroPhasor (class C) 500 ms 80

AMI normal (eg, interval data) 1000 ms 85

Best effort, default 2000 ms 100


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Using IP/MPLS Network for Teleprotection

TPR relay signals must be transferred in


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Getting to the integrated Smart Grid: Advance Metering Infrastructure (PECO)


What is it?

Why Data Analytics?



Conclusions

Agenda


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TranspowerTransmission Grid transformation

Owner and Operator of NZs TransmissionNetwork

Connects generation with demand

Over 16000 kms of transmission line

Links 200 sites including 172 substations

Business Problem

Lack of investment leading to major outages

Strategic Direction

Decision that investment in the grid startswith investment in communications


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Required outcomes

Support for new SCADA and market

systems, new substation capabilities

(Ethernet-based) and new IT security

architecture

No support for new SCADA and market

systems, new substation capabilities

(Ethernet-based) and new IT security

architectureLimitations

Requirements post transformationStatus pre-transformation

Features

Inadequate reactive problem and faultmanagement

Full proactive problem and faultmanagement

Fibre optic transmission systems and

high-capacity digital radio Simplified scalable hierarchical

architecture

IP capability to all sites

100% of equipment less than 5 years old

12 different equipment types from only

3 manufacturers

Low capacity end of economic life

analogue and low-capacity digital radio Complex point-to-point, non-

hierarchical architecture

IP capability to only 20% of sites

80% of equipment end of economic

life within 5 years

155 different equipment types from28 manufacturers


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IP/ MPLS Services Network

Multi-service L2 Transport Network

mw

Multi-service Access Network

SubstationsElectricity NOC Data Centre Corporate Site

Alcatel-Lucent Services

Build a NOC and take overmanagement of existing legacycommunications networks

Architect a network for mission

critical services

Design and prove network:

Support safety criticalservices

Accommodate new energytechnology

Implement and integrate

Operate and maintain

Alcatel-Lucent scopeApplica

tions

Corporate Voice &LAN,

Video Conferencing,

Metering,Remote Access,Internet Access,..

Teleprotection,

SCADA, Data,

Operational Voice,

Operational Video,

Data Centre access


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What is it?

Why Data Analytics?



Conclusions

Agenda


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PECOIntegrated Smart Grid Deployment

About PECO 5.4m electricity customers

31 GW generating capacity

$18B operating revenue

Objective: Create a modern/smart grid

with advanced sensing communications andcontrol technologies

to generate and distribute electricity/gasmore effectively, economically and securely


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Smart Grid communication tiers

19 | Utility Case Studies | February 2011

Communications infrastructure forms the foundation and enabling Smart Gridtechnologies and applications as it touches each functional area of the Smart Grid


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What is it?

Why Data Analytics?



Conclusions

Agenda


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Data Analytics: What is it?

INFORMATION NETWORKS

IP NETWORKS

TCP/SCTP/SSTP

SECURED GRID OVERLAY NETWORK (UNICAST, MULTICAST AND BROADCAST)

Electricity flow

POWER GRIDS

Informationflow

PUB-SUB BASED MIDDLEWARE API

SMART GRID APPLICATIONS

TRANSPORTPROTOCOLSFOR SMART GRID

SECUREAND

DATA-

C

ENTRICAPPLICATIO

N

PLATFORM

STREAMING-BASED DATA DISSEMINATION QUERY-BASED DATA POINT-TO-POINT


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To realize the full potential of smart grid, utilities must take advantage

exponential growth in data from smart grid systems -- smart meters,

distribution automation devices, distributed generation, energy storage, plug-in vehicles and the rest .

Analytics involves the collection, management and the process of

transforming the raw data into useful information and knowledge, that has

business value.

WHY DATA ANALYTICS

Managing adramatic growthin information

Orchestrating themaintenance and

upgrade of an aginginfrastructure

GridAutomation

Renewables

Utilizing variable,geographically

distributed powersources

ElectricVehicles

Satisfyingsignificant, newpower demands

OperationsEconomics

Buying , Selling,and Optimizing the

distribution ofelectricity

Information Communication Control Optimization


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Applications of Data Analytics:

Supervised Learning

- Demographic Data

- Usage Predictions

Consumer Behavior Modeling

- Semi-supervised learning

- Clustering

- Reinforcement learning

Outlier Detection- Identify Customersfor Energy Audit

- Identify Opportunities

for Demand Response

Usage Prediction

Usage Weather

Customers

recommended for

energy audit

Source: Irish Meter Data (WWW.cer.ie)


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What is it?

Why Data Analytics?



Conclusions

Agenda


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Electricity Power Board of Chattanooga

170,000 customers inChattanooga, Tennessee, USA

Already an ALU customer withFTTU and 3-play

Customer requirement was to

transform the city throughtransforming the environment

Changing consumer's energybehaviour

A big priority for EPB with thesmart grid is to give customersmore control

and allowing EPB to manageconsumer devices as needed toshave peak load

2010

Transf

ormation


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Long Term Vision of the Smart Grid: EPB Goals


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Evolving EPB Smart Grid with Bell Labs Support

Design and development of analytical tools and techniques to mine smart meterand other data sources to further "smarten" the electric grid - turning raw data

into information useful for grid control, operations and planning. Keyhighlights:

Demand Response Methods and tools to predict the change in power consumption achievable through real-time

power reduction techniques

Customer Anomaly Detection and Prediction Methods and tools to mine customer meter data to detect consumption anomalies indicative

of problems such as heat pump failures

Grid Anomaly Detection and Prediction Methods and tools to mine Supervisory Control and Data Acquisition data, meter data, and

other data to detect abnormalities in the electric grid

Quantifying Benefits ofSmart Meter Introduction Physical, financial, and environmental benefits

Regulatory reporting


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What is it?

Why Data Analytics?



Conclusions

Agenda


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In conclusion

Traditional energy management and smart grid relyon communications

Communications and data are the key enablers ofintelligent network management

Communications transformation is broadly understoodand accepted

Data management is not getting the attention itdeserves

Flexible, secure communications and data make thesmart grid evolution become a revolution

Alcatel-Lucent has leadership in utilitycommunications transformation

Alcatel-Lucent has a wealth of experience to sharewith Bell Labs at the forefront of Smart GridInnovation


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Timeline of other Bell Labs Transformational Technologies

1876

The Telephone

1939

1st Digital Computer

1947

The Transistor

1954

The Solar Cell

1958

The Laser

1962

The Telstar Satellite

1969

Unix

1988

Digital Cellular

1989

HDTV1997

Worlds Smallest

Transistor

1998

All-Plastic

Transistor

1999

All Optical

Router

2000

3.28Tbps

Transmission

2003

E2E Network

Security Reference

Architecture

Foundation of ITU

X.805 specification

2002

BLAST (MIMO)

High- Capacity

Radio Frequency

1995

Dense Wave

Division

Multiplexing

2001

HLR

(Home Location

Register)

2004

Nanograss

2003

Location Based

Services

2005

Service

Enhancement

Layer for IMS
http://images.google.com/imgres?imgurl=http://www.eaglephotonics.com/images/dwdm4.gif&imgrefurl=http://www.eaglephotonics.com/dwdm.html&h=196&w=328&sz=9&tbnid=2EVbUP2eI8MJ:&tbnh=68&tbnw=114&hl=en&start=5&prev=/images?q=DWDM+&hl=en&lr=


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Utilities problems drive our solutions

Power Delivery

Non-stop energy delivery, despite Rising seasonal demand Ageing infrastructure Advent of volume electric vehicles

Power Quality

A legal requirement, despite Increasingly noisy loads

Growth in small scale renewables

OperationalEfficiency

Better cost control, requiring Maintained safety standards Improved operational processes Better asset utilisation

Customer Intimacy

Consumer pressure in the energy market Creating value for customers Provide real time usage information Enable greater customer choice and control


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Smart Grid Definition: Communications Perspective

Operational communicationstransformation

End-to-end Smart Gridcommunications

Operations Support Systems

Professional Services andthird party integration

Utility Telco


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DATA ANALYTICS: GRID SOURCES AND APPLICATIONS

Communication Network

Smart Meters(Thousands to several million)

Each meterEvery 15 minutes

IEDs/RTUs(Substations and Distributed

Automation)Hundreds to tens of thousands

Each IED/RTUEvery 2-10 sec

PMUsSeveral hundred toseveral thousand

Each PMU60 times/sec

Distributed GenerationDistributed Storage

EVs & EV Charging Stations(Hundreds to thousandsEach with several IEDs)

Each IEDEvery 5-30 sec

Applications: TMS, WASA&M, DMS, SCADA, DA, OMS, VVWC, DFR, MDMS, DR, DG, Asset Management,Billing, Pricing, Other)

(Hundreds of applications)

Documents

07_Electricity Assurance - Grid Automation Presentation - Oct 2012 -V1.0