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EPRI & Sandia Microgrid Symposium
Utility Microgrids: Integrations and Implementation Challenges
Andrew A. Reid
Research &...
Con Edison Electric Distribution System
As of 2015:
• Covers 604 square miles
• Est. Population of approx. 9 million
• Dis...
3
Electric Distribution System
CHP
DR
DR
CHP
PV
PV PV
PV
PV
PV
Animated illustration of network load changes
over 24 hours of a peak day
Outstanding issues to consider with
Community Microgrids
– DG Utilization (Operations Standpoint)
• Location, location, lo...
DER Output
Profile
6
Hypothesis
Active management of DER output to match system conditions may lead to more efficient use
...
PVL Model OpenDSS
translation
Hourly Annual Time Series
Analysis
7
♦Ridgewood network – MESHED!
♦ ~5800 load objects
♦To c...
• When does DER output cause system issues? What are those impacts?
• How does active management strategy compare to tradi...
• Network protectors open for majority of winter season
– 75% to 85% (~91 days/ season = ~2180 hours total)
• In transitio...
• Switch actions occur in same pattern for each season:
– Open during night time hours with over production
– Close during...
11
Post Curtailment GenerationPre Curtailment Generation
DG Output Profile – Thermal Load
Following CHP (905 kW) + PV (160...
Natural Load Profile Load Profile with DG
12
DER Effect on Microgrid Load profile
• Lessons Learned
– Annual time series data is important!
• Construction of load profiles and subsequent validation essent...
EPRI & Sandia Microgrid Symposium
Utility Microgrids: Integrations and Implementation Challenges
Andrew A. Reid
Research &...
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10.6_Utility Microgrids_Reid_EPRI/SNL Microgrid Symposium

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Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Utility Microgrids: Integrations and Implementation Challenges, presented by Andrew Reid, ConEdison, Baltimore, MD, August 29-31, 2016.

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10.6_Utility Microgrids_Reid_EPRI/SNL Microgrid Symposium

  1. 1. EPRI & Sandia Microgrid Symposium Utility Microgrids: Integrations and Implementation Challenges Andrew A. Reid Research & Development Con Edison of New York, Inc.
  2. 2. Con Edison Electric Distribution System As of 2015: • Covers 604 square miles • Est. Population of approx. 9 million • Distribution system provided electric service to ~ 3.4 million customers • 64 (N-2) & 19 (N-1) Networks • ~ 2,200 distribution feeders • Total Distribution Transformer Capacity 29,698 MVA • 87% of the capacity is underground • 13% of the capacity is overhead • All-time record peak 13,322 MW on 7/19/2013
  3. 3. 3 Electric Distribution System CHP DR DR CHP PV PV PV PV PV PV
  4. 4. Animated illustration of network load changes over 24 hours of a peak day
  5. 5. Outstanding issues to consider with Community Microgrids – DG Utilization (Operations Standpoint) • Location, location, location • Incentivize the right operation profile – Conductor Reliability & Grid Reinforcement – DER Controls & Communications – Cost/Benefit Analysis – Protection and Analysis • Reverse power flow through network protectors 5
  6. 6. DER Output Profile 6 Hypothesis Active management of DER output to match system conditions may lead to more efficient use of DER Real-time Hosting capacity DER power output System hosting capacity varies according to load conditions Rather than limit DER capacity to trough threshold, or incur system cost to accommodate DER, control DER output according to system conditions Hosting capacity @ trough time
  7. 7. PVL Model OpenDSS translation Hourly Annual Time Series Analysis 7 ♦Ridgewood network – MESHED! ♦ ~5800 load objects ♦To control DER according to system conditions, entire circuit must be considered with annual generation and load time series profiles Modeling approach
  8. 8. • When does DER output cause system issues? What are those impacts? • How does active management strategy compare to traditional approaches? • What enhancements to modeling tools are needed to analyze off-peak power flows? What types of data are required? 8 Key questions and use case Example configuration: Carved-out network pocket in Ridgewood network 3 CHP scenarios (1) Peak summer (905 kW) (2) Peak winter (595 kW) (3) No curtailment - Trough (340 kW)
  9. 9. • Network protectors open for majority of winter season – 75% to 85% (~91 days/ season = ~2180 hours total) • In transition season, network protectors open mostly over night 9 9 Network Protector Interaction with 905kW
  10. 10. • Switch actions occur in same pattern for each season: – Open during night time hours with over production – Close during the day when heat load subsides and/ or demand picks up 10 10 Network Protector Interaction with 905kW
  11. 11. 11 Post Curtailment GenerationPre Curtailment Generation DG Output Profile – Thermal Load Following CHP (905 kW) + PV (160 kW)
  12. 12. Natural Load Profile Load Profile with DG 12 DER Effect on Microgrid Load profile
  13. 13. • Lessons Learned – Annual time series data is important! • Construction of load profiles and subsequent validation essential – Pre-modeling of DER arrangements can offer significant benefits due to potentially vast differences in hosting capacity across neighboring nodes – DER should have a positive effect on normal network operation  regional specific incentives required – Location, location, location • Next Steps – Post island protection and short circuit analysis 13 Moving forward …
  14. 14. EPRI & Sandia Microgrid Symposium Utility Microgrids: Integrations and Implementation Challenges Andrew A. Reid Research & Development Con Edison of New York, Inc.

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