基于粒子群优化算法的光伏发电系统MPPT控制研究  

Research on MPPT Control of Photovoltaic Power Generation System Based on Particle Swarm Optimization Algorithm

作　　者：于来宝[1,2] 宋晶 袁博[1] YU Lai-bao;SONG Jing;YUAN Bo(Wuhan City Polytechnic,Wuhan 430070,China;School of Geophysics and Geomatics,China University of Geosciences,Wuhan 430074,China)

机构地区：[1]武汉城市职业学院,湖北武汉430070 [2]中国地质大学地空学院,湖北武汉430074

出　　处：《机械工程与自动化》2024年第6期43-44,47,共3页Mechanical Engineering & Automation

基　　金：武汉市教育局2022市属高校产学研项目(CXY202223);2022年度湖北省教育厅科学研究计划指导性项目(B2022605);武城职硕博士专项课题支持(2022whcvcB02)。

摘　　要：对光伏模块特性进行了分析,并以此为基础提出了基于粒子群优化算法的MPPT控制方法,给出了算法实现的具体流程。在MATLAB上实现了光伏模块模型构建,并对提出的PSO算法进行了仿真验证,经测试,所提算法可以在局部遮荫的情况下有效追踪最大功率点。The characteristics of series photovoltaic modules were analyzed,and based on this,a particle swarm optimization algorithm MPPT control method was proposed,and the specific process of algorithm implementation was provided.A series photovoltaic module model was constructed in MATLAB,and the proposed PSO algorithm was simulated and verified.After testing,the proposed algorithm can effectively track the maximum power point under local shading.

关 键 词：光伏发电 PSO MPPT 遮荫 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]