摘要
光伏阵列最大功率点在外部环境条件变化时往往难以进行有效地跟踪,而传统的最大功率点跟踪(MPPT)方法常常会导致搜索陷入局部极值并且响应速度慢。针对此问题,本文提出一种基于狼群搜索算法的最大功率点跟踪方法。仿真结果表明:该算法能够有效地进行全局最大功率点跟踪,验证了该算法的可行性。
Tracking the maximum power point(MPP) of a photovoltaic array is difficult when the external environment changes. Traditional maximum power point tracking(MPPT) method easily makes the search trapped in local optimum and slows down the response speed. To solve the problems,a MPPT method based on wolf colony search algorithm was proposed. Simulation results show that the global MPPT can be achieved by using wolf colony search algorithm and the feasibility of this algorithm is verified.
出处
《河南科技大学学报（自然科学版）》
CAS
北大核心
2015年第5期57-61,7-8,共5页
Journal of Henan University of Science And Technology:Natural Science
基金
湖北省科技支撑计划基金项目(2014BAA135)
关键词
光伏发电
最大功率点跟踪
狼群搜索算法
photovoltaic power generation
maximum power point tracking
wolf colony search algorithm
