一种优化MPPT控制算法及应用  

An Optimized MPPT Control Algorithm and Its Application

作　　者：吴文进[1,2] 苏建徽[1] 刘鹏[1] 汪海宁[1] 

机构地区：[1]合肥工业大学,电气与自动化工程学院,安徽合肥230009 [2]安庆师范学院,物理与电气工程学院,安徽安庆246011

出　　处：《电力电子技术》2016年第1期30-32,共3页Power Electronics

基　　金：国家自然科学基金(51207040,51307042);安庆市科技计划项目(20130302)~~

摘　　要：大型光伏水泵系统在特殊工作环境下光伏阵列时常处于局部阴影状态,其输出具有高度非线性和多个局部功率峰值,此时传统最大功率点跟踪(MPPT)方法不再适用。对此提出将粒子群优化(PSO)算法引入光伏阵列MPPT控制,根据阵列输出特性给出了初始粒子定位、算法参数调整和算法重启策略方法,实现了部分遮蔽情况下光伏水泵系统最大功率点(MPP)的稳定跟踪,避免了系统工作点在MPP附近振荡,同时还具有全局搜索功能,进一步提高光伏水泵系统的工作效率。最后实验结果表明了该算法的稳定性和有效性。For large photovoltaic pump system the output characteristics of photovoltaic array have highly nonlinear and multiple local power peak in the state of partial shadow because of special working conditions,and at this time the traditional maximum power point tracking（MPPT） method is no longer applicable.The new MPPT control method is proposed based on particle swarm optimization（PSO） algorithm.According to the photovoltaic array output characteristic the initial particle orientation,parameter adjustment method and algorithm restart strategy are given.The stability of MPPT for photovoltaic pump system is realized in the state of partial shadow.The oscillation phenomenon of system working point near the maximum power power（MPP） is eliminated,and at the same time the system also has the global search function.The work efficiency of photovoltaic pump system is improved further.The experimental results show that the algorithm has the good stability and high effectiveness.

关 键 词：光伏水泵系统 最大功率点跟踪 粒子群优化 

分 类 号：TM615[电气工程—电力系统及自动化]