Distributed Optimization Dispatch Strategy for Multi-agent System Based Isolated Microgrid

This paper proposes a distributed optimization dispatch strategy for an isolated microgrid (MG) using multi-agent system (MAS). The isolated MG consists of suppliers, consumers and energy storage operators which are considered as agents. Based on the selfinterest motivation market, a real-time price mechanism is proposed to optimize energy supply and demand, aiming to maximize the social welfare of each agent in the isolated MG. To achieve market equilibrium among all agents in the isolated MG, an asynchronous Alternating Direction Method of Multipliers (ADMM) algorithm is designed to provide market clearing price and solve power balance, where each agent only needs to exchange a small amount of information with its neighboring agents. Simulation results demonstrate the validity of the proposed strategy.