Simulates transactive energy mechanisms in connected residential/commercial microgrids. Models peer-to-peer (P2P) power clearing prices between solar prosumers with surplus generation and deficit consumers, calculating bilateral financial surpluses and reduced distribution utility wheeling congestion.
Governing Formulas & Standards
Standards Basis: IEEE 2030.7 (Microgrid Controllers) / CIGRE C6.28
P_{\text{clearing}} = \frac{\text{Feed-in Tariff} + \text{Retail Grid Tariff}}{2}
Calculates optimal mid-point transactive P2P clearing price sharing the margin between the utility retail purchase tariff and net-metering feed-in rate.
Worked Engineering Example: P2P Solar Trading between 15 kWp Prosumer and 3 Neighbouring Consumers
- Mid-Market P2P Clearing Price: P_p2p = (₹3.50 + ₹8.20) / 2 → ₹5.85 / kWh
- Prosumer Added Daily Profit: Profit = 32 × (₹5.85 - ₹3.50) → +₹75.20 / day (+₹27,450 / yr)
- Consumer Total Daily Savings: Savings = 32 × (₹8.20 - ₹5.85) → +₹75.20 / day (+₹27,450 / yr)
Final Solution: P2P Clearing: ₹5.85/kWh | Mutual Community Value Created: ₹54,900 / year
Frequently Asked Questions
- What role does the local distribution utility (DISCOM) play in P2P microgrids?
- The utility provides the physical wires infrastructure and earns a regulated 'wheeling / network access charge' (e.g. ₹0.50–₹1.00/kWh) on every P2P transaction while benefiting from reduced peak feeder congestion.
Interactive calculation engine and real-time CAD solver available online at https://amithvijayan.in/tools/prosumer-p2p-exchange.