Energy Management of DC Microgrid Based on Adaptive Particle Swarm Optimization Algorithm

According to the wind DC microgrid system with energy storage element, an energy management optimization model is proposed by considering the composite operation cost of energy storage system. This model can comprehensively consider the cost of the energy storage system, achieve the economic operation, and ensure the operation security of the system through the setting of constraint conditions. Then adaptive particle swarm optimization of energy management is used to solve the model, and it is verified through MATLAB simulation model. The results show that the proposed energy optimization management model can effectively reduce the composite cost of hybrid energy storage system, and obtain the optimal operation reference node based on forecast information to meet the requirements of economic, efficient and stable operation of DC microgrid system.