Solutions for Sustainable Development of the Smartgrids

1. Solutions for Sustainable Development of the Smartgrids Prof. Davor Škrlec, IEEE Member University of ZagrebFaculty of Electrical Engineering and Computing IEEE Greece Section & NTUA, Dec 13 2012

2. FER Map Skyscraper Main entrance 43308 m2

3. FER in numbers

4. Bachelors Degree • Duration: 3 years, 180 ECTS • Bachelor level (3 years) • Electrical engineering and information technology • Computing

5. Masters degree • Duration: 2 years, 120 ECTS • Electrical engineering and information technology • 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

6. More info … • Progress Report and more information available on: http://www.fer.unizg.hr/en

7. Sustainable development of the Smartgrids Myinterest is inthe future because I am going to spendtherestofmy life there. Charles F. Kettering (1876 - 1958)(engineer, scientist, inventor)

8. 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

9. Solution No. 1

10. Distribution Network Optimization-CADDiN CIRED 2011 poster session – paper 1252 –session 5 CADDiN • Computer Aided Design of Distribution Network • Data preparation in CADDiN Map Module • AutoCAD MAP Add-on • Connection cost assignment • Existing cable • Ex-line route • Corridor • Custom cost • Optimization • Evolutionary algorithm • Adjusted VRP algorithm • Various output topologies • Results • Visualization and simple analysis in CADDiN Map Module

11. 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)

12. Solution No. 2

13. Input data - BAU

14. Input data - BAU (2)

15. Result of data integration - BAU • several months later...

16. 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

17. 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)

18. Network data in DeGIS

19. 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

20. Network data in NEPLAN

21. Network data in NEPLAN (2)

22. Network data in DeGIS

23. Network data in DeGIS (2)

24. Representation in NEPLAN

25. Network data in DeGIS(3)

26. Representation in NEPLAN

27. Representation in NEPLAN

28. NEPLAN to DeGIS • network data and calculations results - simple return to DeGIS • IT WORKS !

29. Further improvements • calculations within DeGIS • NEPLAN as external application • unnecessary export/import of data • instantenously visible calculations results • user-friendly application • and more ...

30. Solution No. 3

31. 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

32. Optimization of Existing Resources 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

33. 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

34. 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 «. »

35. 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

36. Low voltage network/Households TS 10/0,4 kV PQ monitoring device • simple and inexpensive device capable to measure all the required PQ parameters

37. PQube - power monitor Power 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, PLT Detailed 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

38. Thank you for your attention ? Contact: Email: davor.skrlec@fer.hr HTTP: www.fer.unizg.hr/davor.skrlec Skype: davor318456