局部遮荫下基于改进PSO算法的光伏发电MPPT控制  

MPPT Control of Photovoltaic Generation Based on Improved PSO Algorithm under Partial Shading Condition

作　　者：方胜利[1] 朱晓亮 马春艳[1] 侯贸军[1] Fang Shengli;Zhu Xiaoliang;Ma Chunyan;Hou Maojun(College of Electrical&Information Engineering,Hubei University of Automotive Technology,Shiyan 442002,China;Shiyan Juneng Power Design Co.Ltd,Shiyan 442000,China)

机构地区：[1]湖北汽车工业学院电气与信息工程学院,湖北十堰442002 [2]十堰巨能电力设计有限公司,湖北十堰442000

出　　处：《湖北汽车工业学院学报》2024年第1期54-59,共6页Journal of Hubei University Of Automotive Technology

基　　金：湖北省教育厅科学技术研究计划项目(Q20171802);中国物流学会、中国物流与采购联合会研究课题计划项目(2023CSLKT3-382)。

摘　　要：为解决光伏阵列在局部遮荫工况下最大功率点跟踪问题,在分析光伏阵列输出特性的基础上,提出惯性权重自适应调整、飞行速度动态钳位、迭代周期动态更新的改进型粒子群优化算法对光伏阵列输出调节电路实施控制。MATLAB仿真结果表明:与常规扰动观察法、基本粒子群优化算法相比,该算法在静态与动态的局部遮荫工况下均能获得较高的最大功率点跟踪精度,且缩短了近50%的跟踪时间,提高了光伏阵列的发电效率。In order to solve the problem of maximum power point tracking(MPPT)of a photovoltaic ar-ray under partial shading condition(PSC),the output characteristics of the photovoltaic array were ana-lyzed,and an improved particle swarm optimization(PSO)algorithm was proposed to control the output regulating circuit of the photovoltaic array.The algorithm could adjust the inertia weight adaptively,clamp the velocity of particles,and update the iteration period dynamically.The MATLAB simulation results show that compared with the conventional perturbation observation method and basic PSO,the improved PSO algorithm can obtain higher MPPT accuracy,reduce tracking time by nearly 50%under static and dynamic PSCs,and improve the power generation efficiency of the photovoltaic array.

关 键 词：光伏阵列 局部遮荫 最大功率点跟踪 改进粒子群优化算法 MATLAB仿真 

分 类 号：TM615[电气工程—电力系统及自动化] TP18[自动化与计算机技术—控制理论与控制工程]