Decentralized microgrid coordination using multi-agent systems

International audienceMicrogrid (MG) networks are expected to help increase grid flexibility and the integration of renewable generation. To improve network cooperation performance, this paper proposes a novel distributed control strategy to manage energy flows using a multi-agent system. Power dispatching is achieved through flexible electricity markets to maximize MG profit. A distributed power flow calculation algorithm is proposed to guarantee that the power flow in the network is within line capacity. Simulation shows that the control strategy manages to ensure MG power balance while maximizing profit. Additionally, the power flow is within line capacity to guarantee system security