Optimization of Microgrid Photovoltaic and Energy Storage System Capacity Considering the Loss of Energy Storage System

Due to the increasing pollution problems caused by conventional energy sources, renewable energy generations have been widely used in China. The optical photovoltaic and energy storage system optimization model for microgrids was proposed, and the function included the cost of microgrids and the loss of power supply probability. In this paper, the impact of the loss of energy storage system was considered, and a scenario set is constructed to solve the randomness problem of wind power, photovoltaic power, and load by characterizing the probability of wind power and photovoltaic output power through a scenario set. Multi-objective particle swarm algorithm was used to solve the optical photovoltaic and energy storage system optimization model, to determine the optimal capacity allocation scheme of photovoltaic panels and energy storage system. Finally, the effectiveness of the photovoltaic and energy storage system capacity optimization allocation model proposed in this paper considering the state of charge of the energy storage system is verified through four cases.