Tomaso Bertoli's presentation at ESRI EUC Madrid 2011. Sinergis' expertise on smart grids and energy management tools.

1. The impact of Distributed
Generation on network security
ESRI EUC Madrid, 27 October 2011, Tomaso Bertoli

2. Network Security and DG?
How Distributed Generation impacts network
security? »
 Gruppo Dolomiti Energia
Network Security of Low Voltage Feeders
 STET Pergine
PESSE review 2012

3. Gruppo Dolomiti Energia
 6000 sqkm service area
 500k inhabitants
 8 service area + STET
 3150 km 20kV
 4470 MV>LV
 6565 km 400V
 140k service points
 340k meters (En) + STET Pergine 18k

4. Gruppo Dolomiti Energia
 6000 sqkm service area
 500k inhabitants
 8 service area + STET
 3150 km 20kV
 4470 MV>LV
 6565 km 400V
 140k service points
 340k meters (En) + STET Pergine 18k

5. Gruppo Dolomiti Energia
 6000 sqkm service area
 500k inhabitants
 8 service area + STET
 3150 km 20kV
 4470 MV>LV
 6565 km 400V
 140k service points
 340k meters (En) + STET Pergine 18k

6. Gruppo Dolomiti Energia
 6000 sqkm service area
 500k inhabitants
 8 service area + STET
 3150 km 20kV
 4470 MV>LV
 6565 km 400V
 140k service points
 340k meters (En) + STET Pergine 18k

7. Gruppo Dolomiti Energia
 6000 sqkm service area
 500k inhabitants
 8 service area + STET
 3150 km 20kV
 4470 MV>LV
 6565 km 400V
 140k service points
 340k meters (En) + STET Pergine 18k

8. Gruppo Dolomiti Energia
 6000 sqkm service area
 500k inhabitants
 8 service area + STET
 3150 km 20kV
 4470 MV>LV
 6565 km 400V
 140k service points
 340k meters (En) + STET Pergine 18k

9. Gruppo Dolomiti Energia
 6000 sqkm service area
 500k inhabitants
 8 service area + STET
 3150 km 20kV
 4470 MV>LV
 6565 km 400V
 140k service points
 340k meters (En) + STET Pergine 18k

10. Gruppo Dolomiti Energia
 6000 sqkm service area
 500k inhabitants
 8 service area + STET
 3150 km 20kV
 4470 MV>LV
 6565 km 400V
 140k service points
 340k meters (En) + STET Pergine 18k

11. Gruppo Dolomiti Energia
 6000 sqkm service area
 500k inhabitants
 8 service area + STET
 3150 km 20kV
 4470 MT>BT
 6565 km 400V
 140k service points
 340k meters (En) + STET Pergine 18k

12. Integrated Information System
» un-bundling
Network Customer Data
Information System and Work orders
» ArcGIS ArcFM » SAP IS-U
» Network topology » Clients Sales Users Distribution
» Geometric Network » Contracts
» Versioning Archiving » Devices
» Feeder Manager » SAP GUI § Bapi
Device Locations Device Location

13. Network security for Low Voltage feeders
Like at home when the meter “trips” because
oven and dryier and … are used together »

14. Electric Analysis LV – V1 (2008)
• Trace Geometric Network return tree topology
• Current Contract
Loads from SAP
• Test Loads from
design
• Design Version

15. Electric Analysis LV – V1 (2008)
• Parameters
• Contract Voltage
• % of safe use
• Power …
• Paid for
• Current contract
• Available
• Probability concurrence
• Probability Acceptable
Risk of black-out

16. Electric Analysis LV– V1 (2008)
• Output XLS
• Max Current
• Voltage Drop
• Available power
• Losses
• Short Circuit Current

17. Managing Energy from renewable sources
August 2010 – LV Feeder start tripping »
Current and future
Electric Distribution
(source: EPRI, 2009 )
Inversion of energy flows
Low Demand Max Production
But how is it possible is DG is under 5% ? »

18. Clustering of Distributed Generation
 Emulation
Why clusters do
… not form?

19. Clustering of Distributed Generation
PV (Photo Voltaic) Distributed Generation»
• 50 MW total PV peak power Average by feeder
• installations
• 6060 PV installations • Power kW
• 9000 LV Feeders 9000 total LVF
• 0,7
• 9 kW
•2
2890 LVF with PV
• 18 kW
Average by feeder
•6
290 10° Percentile
• < 0,7 installations • 97 kW
• 9 kW 29 1° Percentile
• 10
• 236 kW

20. Clustering of Distributed Generation
PV (Photo Voltaic) Distributed Generation »
• 50 MW PV total peak power
• 1400 MW Contract power on LVF
• On average PV 3% of Contract Power
But average values are missleading
• Over 100 feeders have ratio PV / Contract power > 100%
• 10° percentile of Feeders has PV / Contract power > 40%

21. Electric Analysis LV BT – V2 (2011)
• Generators
• SAP IS-U
• design
• Parameters
• Power Modulation
• Generation Modulation
Usual scenarios:
• Late afternoon workday Winter
• Weekend noon Summer

22. STET Pergine – PESSE review 2012
 “small” multi utility
in side valley
 18k Electric meters
 WaterWasteWater
 Gas
 Garbage
 Street Lighting

23. PESSE – What ? Why ?
PESSE, Emergency Plan for the safety of
Electric System
Under the coordination of Terna (HV transmission)
Distribution companies disconnect load in a
planned and selective way, in order to avoid un-
controlled black outs.
28 september 2003

24. PESSE – How it works?

25. PESSE – How it works ?
All residential and commercial customers are
divided in groups
For each group a rolling outage is planned for up
to 1,5 hours per day.

26. PESSE Update 2012
Optimize the groups »
 “domestic customers with life saving
equipment are excluded from the planned
outages”
 Distributed Generation – not only PV

27. PESSE Update 2012
GeoDataBase Versions to simulate
different PESSE plans groups »

28. PESSE Update 2012
ArcFM Feeder Manager
Recalculates MV and LV feeder »

29. PESSE update 2012
DBMS Server side SQL does all the group by sum
No Export, Fast and Reproduceable »

30. PESSE update 2012
Transforming
a
mountain
of
data
in
usefull
usable
Information »

31. 3 key factors to “do more with less”
Robust Competent
Data &
Flexible People on
Processes
data is trust worthy Software Processes & Sw
(updated and AEEG releases each
dedication and
complete) only as year new
(self)training to
long as it is produced rules, positive feed-
exploit all the power
or used by a primary back on processes
in Sw (old and new)
company process that can be managed
of the tech pyramid
and optimized

32. Thank you for the attention
Tomaso Bertoli
Solution Manager Utilities
Coordinator of Multi Utility User Group
For more info: www.gismart.eu
Special thanks to
Mariano Fronza, Dolomiti Reti (GDE)
Stefano Silvestri, Dolomiti Reti (GDE)
Dario Dallepiatte, STET Pergine
www.sinergis.it | info@sinergis.it
www.dedagroup.it | info@dedagroup.it

33. To be Smart...

34. Smart Local Governments
Local Governments
Using GIS-based Tax Solutions to be
very effective in collecting real estate
taxes and to fight tax elusion

35. Smart Multi Utilities
Multiutilities
Using GIS-based Solutions in order to
better run the distribution
network, reduce and manage power
downwtime

36. Smart Provinces And Regions
Province e Regioni
Soluzioni per il monitoraggio e il
controllo permettono una gestione
più efficace del traffico e una migliore
manutenzione delle infrastrutture
stradali

37. Smart Local Governments
Sinergis and Dedagroup
have been learning for more
than 20 years from:
 10 Regions
 18 Provinces
 3 Regional Environment Agencies
(ARPA)
 2 Government Departments
 10 Multi Utility Companies
 15 Main Cities
 More than 50 Smaller Municipalities
and Associations of Smaller Cities

38. Thank you for the attention
For more info: tomaso.bertoli@sinergis.it