Research on Capacity Optimization Method for Hybrid Energy Storage System of Wind Solar Complementary Power Generation System
The wind and solar complementary power generation system is affected by wind and solar resources,and the power generation fluctuates greatly.Configuring an appropriate energy storage system can improve the absorption ca-pacity and power quality of new energy generation.In response to the optimization configuration problem of energy stor-age capacity in wind solar complementary power generation systems,this paper takes the operational investment cost as the optimization objective to propose a hybrid energy storage system model based on pumped storage with the participa-tion of batteries and supercapacitors.The energy storage model takes the tracking load curve as the smoothing objective function,and uses the ensemble empirical mode decomposition and moving average method to allocate power to pumped storage units,batteries,and supercapacitors.A model of wind and solar power generation system was established,and an immune particle swarm optimization algorithm was used to optimize the energy storage configuration capacity.The calculation results show that the proposed hybrid energy storage capacity optimization model based on pumped storage significantly improved the output power fluctuation of the power generation system,and improved the energy consump-tion capacity and operational economy.
pumped storagewind-solar complementaryenergy storagecapacity optimizationsuppress power fluctuationselectric energy absorption
NETL
NSTL
万方数据
维普
