Application of genetic algorithm and particle swarm algorithm in microgrid dispatch model considering energy storage

A microgrid, a small power generation and distribution system is composed of distributed power sources, loads, energy conversion, monitoring and protection devices. Due to the integration of multiple distributed power sources, including renewable energy like wind and solar energy, microgrids can better meet the load demands of local energy cleanliness and flexibility. On the basis of analyzing the output characteristics of wind-solar storage microgrid system, and taking the minimum operating cost of the system as the optimization goal, the capacity optimization configuration model of wind-solar storage microgrid energy storage system is established. Under different constraints and operation strategies, the genetic algorithm and particle swarm algorithm are used to solve the model respectively, and the optimal capacity configuration scheme is obtained. The example results show that the capacity allocation of the wind-solar storage microgrid system by using the energy storage energy dispatching strategy and optimization model significantly reduces the system investment cost and improves the energy utilization rate of the system.