基于改进灰狼算法的光伏系统最大功率点跟踪方法  

Maximum power point tracking method of photovoltaic system based on improved gray Wolf algorithm

作　　者：丁然[1] Ding Ran(Chizhou Vocational and Technical College of Mechanical and Electrical and Automotive Department,Chizhou Anhui,247100)

机构地区：[1]池州职业技术学院机电与汽车系,安徽池州247100

出　　处：《电子测试》2022年第22期47-50,共4页Electronic Test

基　　金：池州职业技术学院2020年度院级自然科学研究重点项目“部分遮阴下光伏系统最大功率点跟踪算法研究(2020yjzrzd06)”。

摘　　要：本文将改进的灰狼算法用于光伏发电系统的最大功率跟踪。对原有算法的收敛性进行优化,在引入动态加权的基础上,利用改进灰狼算法对局部阴影下的最大功率点进行跟踪。并建立局部遮蔽模拟模型进行模拟实验,在MATLAB/Simulink中构建了最大功率跟踪模型,设置太阳能板与改进灰狼算法进行对比,得到功率-时间曲线,通过MATLAB/Simulink中最大功率跟踪模型,与改进灰狼算法进行对比,得出传统跟踪方法不能追踪阴影时最大功率的结论。In this paper, the improved gray Wolf algorithm is applied to the maximum power tracking of photovoltaic power generation system. The convergence of the original algorithm is optimized, and the improved Grey Wolf algorithm is used to track the maximum power point under the local shadow based on the introduction of dynamic weighting. The maximum power correlation tracking model is established by using MATLAB/Simulink, and the solar cell is compared with the optimized Grey Wolf algorithm, thus the maximum power change curve with time is obtained, and the maximum power is compared with the MATLAB/Simulink. The results show that, The conventional tracking method cannot track the maximum power in the shadow.

关 键 词：灰狼算法 光伏系统 最大功率点 

分 类 号：TP615[自动化与计算机技术—控制理论与控制工程]