Improved photovoltaic maximum power point tracking based on cuckoo search algorithm

被引：0

作者：

Ge C. ^{[1
]}

Wu P. ^{[1
]}

Dong X. ^{[1
]}

Jin J. ^{[1
]}

机构：

[1] College of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai

来源：

Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2022年 / 43卷 / 10期

关键词：

Cuckoo search(CS); Maximum power point tracking(MPPT); Partial shading condition(PSC); Perturbation and observation method(P&O); Photovoltaic system;

D O I：

10.19912/j.0254-0096.tynxb.2021-0423

中图分类号：

学科分类号：

摘要：

To reduce the power loss of the photovoltaic system when the photovoltaic array has partial shadows and improve the accuracy and speed of the maximum power point tracking(MPPT), an MPPT control method(ICS-P&O) is proposed based on the Cuckoo Search(CS) algorithm and P&O algorithm. Group the populations in the CS algorithm, set different update strategies for the two populations in the random walk phase and add information sharing strategies to assist in the update during the biased walk phase to speed up the convergence of the algorithm and improve the convergence accuracy, then use small steps P&O method to improves the convergence accuracy in the later stage. Results show that the proposed method has better global search performance, faster tracking speed and higher tracking accuracy in different external environments. © 2022, Solar Energy Periodical Office Co., Ltd. All right reserved.

引用

页码：59 / 64

页数：5

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