基于改进灰狼优化算法的光伏阵列多峰MPPT研究  

RESEARCH ON MULTI-PEAK MPPT OF PHOTOVOLTAIC ARRAY BASED ON MODIFIED GRAY WOLF OPTIMIZATION ALGORITHM

作　　者：毛明轩 许钊 崔立闯 朱立尧 郭珂[1] 周林[1] Mao Mingxuan;Xu Zhao;Cui Lichuang;Zhu Liyao;Guo Ke;Zhou Lin(State Key Laboratory of Power Transmission Equipment&System Security and New Technology,School of Electrical Engineering,Chongqing University,Chongqing 400044,China;Department of Electrical and Electronic Engineering,Imperial College London,London SW72AZ,United Kingdom;State Grid Zhejiang Electric Power CO.,Shaoxing Power Supply Company,Shaoxing 312000,China)

机构地区：[1]重庆大学电气工程学院,输配电装备及系统安全与新技术国家重点实验室,重庆400044 [2]帝国理工学院电气与电子工程系,伦敦SW72AZ [3]国网浙江省电力有限公司绍兴供电公司,绍兴312000

出　　处：《太阳能学报》2023年第3期450-456,共7页Acta Energiae Solaris Sinica

基　　金：国家自然科学基金(52107177);国家博士后国际交流计划(2020045)。

摘　　要：针对局部阴影条件下光伏阵列呈现出的非线性多峰值P-V输出特性,提出一种基于改进灰狼优化算法的最大功率点跟踪(MPPT)控制方法。该算法将传统灰狼优化算法中线性减小的收敛因子改进为按非线性规律变化,以改善算法的动态性能。结果表明:所提出的MPPT方法在局部阴影条件下能有效跟踪到光伏阵列的最大功率点,不仅具有较快的跟踪速度,且跟踪精度达到99.1%。According to the nonlinear multi-peak P-V output characteristics of PV arrays under partial shading conditions,a maximum power point tracking(MPPT)control algorithm based on modified gray wolf optimization algorithm is proposed.The proposed algorithm replaces the linear convergence factor in the traditional gray wolf optimization algorithm with a nonlinear convergence factor,which improves its dynamic performance.Experimental results show that the proposed MPPT algorithm can effectively track the maximum power point of the photovoltaic array under partial shading conditions.It not only has a faster tracking speed,but also has a tracking accuracy of 99.1%.

关 键 词：最大功率点跟踪 太阳电池 非线性控制系统 光伏阵列 改进灰狼优化算法 

分 类 号：TK513.5[动力工程及工程热物理—热能工程]