光伏储能的改进麻雀算法控制

Improved Sparrow Algorithm Control of Photovoltaic Energy Storage

针对传统双闭环控制中PI参数整定存在的问题,结合麻雀算法较好的搜索性能,提出一种改进的麻雀算法应用于双闭环PI参数的整定中.将Piecewise混沌映射方式加入到麻雀算法种群初始化中,在发现者位置更新过程中加入动态权重因子ω,在基本麻雀算法中引入柯西高-斯变异策略,提高算法的整体寻优能力.在四种复杂测试函数上对基本麻雀算法(SSA)和改进的麻雀算法(ISSA)进行测试,结果 ISSA表现出更好的寻优性能,再将ISSA应用光伏储能系统双闭环PI控制的参数整定上,发现ISSA法能够在系统发生扰动时快速反应,使系统迅速恢复稳定运行状态.

Aiming at the problems of PI parameter setting in traditional double closed-loop control,an improved sparrow algo⁃rithm was proposed for PI parameter setting in double closed-loop control combined with the better search performance of spar⁃row algorithm.Piecewise chaotic mapping method was added to the population initialization of sparrow algorithm,dynamic weight factor was added to the discoverer position update process,Cauchga-s mutation strategy was introduced into the basic sparrow algorithm to improve the overall optimization ability of the algorithm.The basic sparrow algorithm(SSA)and the im⁃proved sparrow algorithm(ISSA)were tested on four kinds of complex test functions.The result shows that ISSA has better opti⁃mization performance.Then,ISSA was applied to the parameter setting of double closed-loop PI control of photovoltaic energy storage system,and it is found that ISSA method can respond quickly when the system is disturbed.The system can be restored to a stable state quickly.