πŸ“‹ Case Study

New York Con Edison Brooklyn Microgrid Demonstration

Legacy grid infrastructure unable to absorb distributed solar exports; required bi-directional active power curtailment and dynamic export limits

πŸ—οΈ Project Overview

Mixed-use urban block (22 buildings, 8.3 MW peak) with solar PV, BESS, and EV charging aggregation

🎯 Challenge

Legacy grid infrastructure unable to absorb distributed solar exports; required bi-directional active power curtailment and dynamic export limits

πŸ”§ Design Approach

Peer-to-peer transactive energy layer using blockchain-secured settlement + IEEE 2030.5 DERMS with adaptive export cap algorithm

πŸ“ Design Diagram

Brooklyn Microgrid DemonstrationCon Edison Substation & Legacy Grid InterfaceSubstationIEEE 2030.5 DERMSAdaptive Export Cap1.2–3.8 MWSolar DERsLegacy Grid Limitationβ†’ No bi-directional curtailmentTransactive LayerBlockchain SettlementLatency: 2.3 secVoltage/Temp/LoadReal-time Inputs

AI-generated project design illustration

πŸ“ Key Calculations

Dynamic Export Cap

Cap = f(Voltage Profile, Line Loading, Transformer Temp)
Result: 1.2–3.8 MW
Prevents reverse power flow violations

Transactive Settlement Latency

Block Time + Consensus + Settlement
Result: 2.3 sec
Meets NYISO 5-sec dispatch requirement

πŸ“Š Results

Achieved 99.4% export compliance rate; reduced local transformer loading by 31%; enabled 100% solar self-consumption during peak hours

πŸ’‘ Lessons Learned

  • β€’Transactive layers require deterministic consensusβ€”not probabilistic PoW
  • β€’Export cap algorithms must ingest real-time transformer hotspot data

βœ… Key Takeaways

  • 1Transactive layers require deterministic consensusβ€”not probabilistic PoW
  • 2Export cap algorithms must ingest real-time transformer hotspot data