Optimization Configuration of Energy Storage System Considering the Cost of Retired Power Battery Life

For discovering a solution to the configuration issue of retired power battery applied to the energy storage system, a double hierarchy decision model with technical and economic layer is introduced in this paper. Due to the high uncertainty of wind speed, the output of the thermal power plant will vary with the fluctuation of wind power, aggravating the fatigue and wear of the unit equipment, and affecting the steadiness of the system. The time-power sequence of the energy storage system is acquired by particle swarm optimization, and the power and capacity are configured according to the possibility density role curve of the energy storage output curve. The simulation of the IEEE-30-node model shows that the optimal energy storage configuration strategy put forward herein can control the power fluctuation and strengthen the stability of the wind-fire complementary system, and has good practicability.