Capacity Optimization of Compressed Air Hybrid Energy Storage System Based on Wind-Solar Complementary Power Generation System
Compressed air energy storage systems can effectively reduce the phenomenon of wind and solar energy being abandoned due to their randomness.However,their dynamic response time is long,and the unreasonable configuration of storage scale will affect its development.Therefore,this paper first proposes a hybrid energy storage system composed of liquid flow battery and compressed air energy storage to solve the problem of output fluctuation instability of grid-connected wind-solar complementary power generation systems.Secondly,based on typical hour load,wind turbine generating power,and photovoltaic generating power,a system maximum profit objective function is established for different scenarios,and the capacity configuration of the compressed air energy storage system is optimized using a cat swarm algorithm.Finally,the impact of the rated capacity and rated power of the compressed air energy storage system on the system's maximum profit is analyzed to verify the reliability of the algorithm.The results show that when the installed capacity of the wind turbine and photovoltaic system is 20 MW and 3.42 MW,respectively,and the capacity configuration of the compressed air energy storage system is 4 MW and 46.5 MW·h,respectively,achieving its best economy,and 183 688.24 yuan can be saved every week in electricity purchase costs,with a maximum weekly profit of 30 543.86 yuan.
compressed air energy storage systemhybrid energy storage systemcat swarm algorithmcapacity configurationeconomy
NETL
NSTL
万方数据
维普
