Collaborative Regulation Control Optimization on Demand Side of Microgrid Based on Multi-agent

In order to make the components in microgrid operate stably and improve the economic benefits, multi-agent technology is adopted to coordinate the control of load, storage battery on demand side and micro-sources on generation side. In this way, the communication information among agents in the microgrid can be feedback promptly and the system operation failure can be reduced. Then, a battery charging and discharging control strategy is proposed based on the real-time electricity price mechanism for grid-connected microgrid. The output power characteristics of the battery are analyzed to coordinate the output of each micro-source at different times of a day. Meanwhile, a multi-agent chaotic particle swarm optimization (MACPSO) algorithm is used to solve the economic operation model of microgrid considering user satisfaction. Finally, through the comparative analysis of examples, it is verified that the proposed microgrid based on multi-agent coordinated control can effectively improve the operation efficiency.