杨国华,朱向芬,马玉娟,韩世军,王金梅,王鹏珍.基于改进粒子群算法的混合储能系统容量优化[J].电测与仪表,2015,52(23):. Yang Guo-hua,Zhu Xiang-fen,Ma Yu-juan,韩世军,Wei Ning-bo,wangpengzhen.Capacity Optimization of Hybrid Energy Storage Based on Improved PSO Algorithm[J].Electrical Measurement & Instrumentation,2015,52(23):.
基于改进粒子群算法的混合储能系统容量优化
Capacity Optimization of Hybrid Energy Storage Based on Improved PSO Algorithm
To solve the problem of optimal allocation of energy storage system, in this paper, we presented a hybrid energy storage capacity optimization method by improving PSO Algorithm. A hybrid energy storage capacity optimization model has been constructed, which considers battery and ultracapacitor as a hybrid energy storage device, considers the lowest annual life cycle cost of hybrid energy storing device as the optimization objective, and considers the indices such as the loss of power supply probability as constrain conditions. Then solves the problem with acceleration coefficient improved PSO algorithm, and simulates the case using Matlab. The simulation result shows that the method not only can optimize the work condition of the battery, reduce the cost of the energy storage system and the life cycle cost, but can improve the convergence speed.