Distributed Energy Sharing within Community: A Game-Theoretic Double Auction Approach

This paper proposes a double auction-based mechanism that captures the interaction within a community consisting of distributed solar power prosumers and consumers. All agents are assumed to have battery energy storage systems, and can use battery for time-of-use arbitrage. Sellers and buyers can optimize the charging/discharging schedules of their battery systems for community sharing to reduce electricity costs. To determine the market clearing price, a non-cooperative game is formulated among all participants involved in the community sharing. To solve the game, an iterative algorithm is first designed to determine the clearing price and energy trading amount during each round of auction. Then, an adaptive pricing strategy is designed to assist agents better understand the market. A case study with 10 agents is provided to demonstrate the effectiveness of the proposed community sharing market.