Optimal Sizing of Networked Microgrid using Game Theory considering the Peer-to-Peer Energy Trading

Abstract

This paper proposes a peer-to-grid (P2G) energy trading combined with peer-to-peer (P2P) energy trading scheme based on a cooperative game theoretical technique to optimize sizes of the generation resources and battery, and achieve maximum payoff from a networked microgrid. The selected architecture consists of two microgrids in which both microgrids contain solar panels, wind turbines, and batteries to meet the requirements of the load. In the first stage, a game theory technique based on particle swarm optimization (PSO) method is used to find the optimum sizes of the generation resources and batteries considering the conventional P2G combined with P2P energy trading. In the second stage, considering two energy trading scenarios including P2G and P2G combined with P2P capability, the maximum payoffs of both microgrids are optimized and compared.