A Maximum Power Point Tracking Strategy for Photovoltaic System Based on Improved Sheep Behaviors Optimization

被引：0

作者：

Wu Z.-Q. ^{[1
]}

Xie Z.-K. ^{[1
]}

Wang G.-Y. ^{[1
]}

Lu X.-Q. ^{[1
]}

He Y.-L. ^{[1
]}

机构：

[1] Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao

来源：

Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2020年 / 48卷 / 10期

关键词：

Maximum power point tracking; Partial shading; Photovoltaic system; Sheep behaviors optimization;

D O I：

10.3969/j.issn.0372-2112.2020.10.020

中图分类号：

学科分类号：

摘要：

Aiming at the fact that traditional control algorithm cannot continuously and accurately track the maximum power point under the condition of partial shading,a strategy for photovoltaic systems based on improved sheep behaviors optimization was proposed.Disturbance operator,reverse position and adaptive factor were introduced in sheep behaviors optimization to enhance the local development ability,and improve the optimization accuracy of the algorithm.The experimental results under the conditions of uniform illumination,partial shading and variable irradiation show that the improved sheep behaviors optimization can steadily track the maximum power point under different environmental conditions,and the algorithm has greater advantages in convergence time and convergence accuracy,verifying the feasibility of this algorithm in the maximum power point tracking control. © 2020, Chinese Institute of Electronics. All right reserved.

引用

页码：2017 / 2024

页数：7

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