Solutions for Sustainable Development of the Smartgrids

Solutions for Sustainable Development of the Smartgrids

Prof. Davor Škrlec, IEEE MemberUniversity of Zagreb

Faculty of Electrical Engineering and Computing

IEEE Greece Section & NTUA, Dec 13 2012

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Electrical engineering and information technologyComputing

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• Control engineering• Electrical power engineering• Electronic and computer engineering• Electronics• Electrical engineering systems and technology

• Information and communication technology• Information processing• Telecommunications and informatics• Wireless technologies

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Sustainable development of the Smartgrids

My interest is in the future because I am going to spend the rest of my life there.

Charles F. Kettering (1876 - 1958)

(engineer, scientist, inventor)

What we need ?

EU technology platform - general policy (SG-GA;SET Plan)

industry initiative (EEI;EEGI;EURELETRIC)

network operators (EEGI;ENTSO-E;EDSO4SG)

demonstration projects (FP7;Smartgrids ERANet)

technical solutions costs/benefits business models

standards and regulation (ACER;CENELEC;IEC)

customers market

Solution No. 1

CADDiN Computer Aided Design of Distribution Network Data preparation in CADDiN Map Module

AutoCAD MAP Add-on Connection cost assignment

o Existing cableo Ex-line routeo Corridoro Custom cost

Optimization Evolutionary algorithm Adjusted VRP algorithm Various output topologies

Results Visualization and simple analysis

in CADDiN Map Module

CIRED 2011 poster session – paper 1252 – session 5Distribution Network Optimization-CADDiN

Feeder

Support point

Consumption station

Cable

Backup cable

Distribution Network Optimization-CADDiN (results in Google Earth)

OGULIN SUPPLY AREA Consumption concentrated in urban area Two big radial areas – low consumption

Approximated with single consumption point

Connection cost Existing cable (Blue on picture) Ex-line route

Existing overhead lines (Red on picture) Corridors determined by Urban Planning

(Orange on picture) Corridors

All roads User defined (by experience)

Solution layout – Closed loop (ring)

Solution No. 2

13

Input data - BAU

Input data - BAU (2)

Result of data integration - BAU

• several months later...

Summary of BAU• building the network for calculation

– long term job (months)– data quality/accuracy

• distributed and non-uniform data update• local organizational units have more accurate data

– all resources-consuming job of checking network topology and data after initial network building

• waste of time (money) – after some time network model is uncompatible

with real network

Network data in GIS

network data in GIS– updated and accurate– spatial character– network model for calculations in minutes not in

months DeGIS (customize application in SmallWorld)

Network data in DeGIS

Transfer of data to NEPLAN

• Transfer from DeGIS– all objects “after and on the same voltage level” of

selected object– all object “after” selected object

• possibility to stop tracing on switching elements depending on switch status

• transfer of simplified geometry– start/end point of line– full data model is not necessary for calculation purposes

Network data in NEPLAN

Network data in NEPLAN (2)

Network data in DeGIS

Network data in DeGIS (2)

Representation in NEPLAN

Network data in DeGIS(3)

Representation in NEPLAN

Representation in NEPLAN

NEPLAN to DeGIS• network data and calculations results - simple

return to DeGIS– IT WORKS !

Further improvements• calculations within DeGIS

+NEPLAN as external application+unnecessary export/import of data+instantenously visible calculations results+user-friendly application+and more ...

Solution No. 3

Power Quality Monitoring in Distribution Network

21 distribution regions

100 supply points 110 kV

300 TS 35/10 kV

20 000 TS 10/0,4 kV

2 300 000 customers most of 110 kV supply points are equipped with power quality analyzing units, but

only some of them are connected to the related control centre since every region develops according its own policy, there was no unified approach

what kind of measuring, control or protection equipment is used in distribution TS most of TS are equipped with PLCs, DMM, numeric relays or bay controllers with

communication ability, but none of them is yet used for PQ data acquisition

SCHEDULED TASKS:

detailed analysis of the entire monitoring equipment installed in distribution networks in Croatia

defining monitoring and measurement capabilities of the installed equipment

determining communication links to distribution centers

defining common warehouse for PQ monitoring data

defining final solution

Optimization of Existing Resources

PQ Data Sources

SCADA systems

data are collected in control centre from remote station computers using WAN

PQ data are preprocessed and exported in appropriate file format

IED - Intelligent Electronic Devices

numeric relays bay controllers, DMM - digital multimeters power analyzers

data are collected in local PQ-IPC using local process bus (MODBUS)

PQ data are preprocessed and exported in appropriate file format

PQ Data Sources cont.

«. »

AMR systems

data are collected in control center using PSTN, GSM/GPRS or Ethernet network

PQ data are preprocessed and exported in appropriate file format

meters of new generation can acquire PQ relevant data, but this feature is useful only if high-speed communication is available (WAN)

PQ MONITORS

new generation of IED specially provided for PQ data acquisition ^ local data processing

processed data can be directly transferred to the related control centre

PQ Data Acqusition Concept(TS 35/20/10 kV)

Control centre AMR

PLC, PAC numeric relay, bay controller DMM, network analyzer PQ-MONITOR numeric revenue meter

Low voltage network/Households

TS 10/0,4 kV

PQ monitoring device simple and inexpensive device capable to measure all the

required PQ parameters

PQube - power monitorPower Quality monitoring:

Voltage dips, swells, and interruptions Waveforms and RMS graphs Over-frequency and under-frequency events 1-microsecond high-frequency impulse detection THD, TDD, and time-triggered snapshots Voltage and current unbalance. RMS Flicker - Pinst, PST, PLTDetailed event recording, plus daily, weekly, monthly trend

Energy monitoring:Watts, VA, VAR's, true Power Factor, Watt-hours, VA-hour Peaks: single-cycle peak, 1-minute, and 15-minute averac Daily, weekly, monthly trends. Load duration curves

No software required:Spreadsheets: CSV files; events, trends, statistics. Pictures: Event and trend/statistics graphs in GIF format PQDIF: the IEEE's standard for power quality data files. Text, XML, and HTML summaries

Easy data retrieval:Ethernet:

Built-in web server - retrieve meters, files, graphs FTP server for easy file transfer Modbus-TCP

Thank you for your attention

?Contact:

Email: davor.skrlec@fer.hrHTTP: www.fer.unizg.hr/davor.skrlecSkype: davor318456