Application of Improved Crow Search Algorithm in MPPT of Photovoltaic Arrays under Partial Shading Conditions

Ruiyan Lin

doi:10.54254/2755-2721/2025.KL21655

Research Article

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Published on 31 March 2025

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Lin,R. (2025). Application of Improved Crow Search Algorithm in MPPT of Photovoltaic Arrays under Partial Shading Conditions. Applied and Computational Engineering,142,47-56.

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Application of Improved Crow Search Algorithm in MPPT of Photovoltaic Arrays under Partial Shading Conditions

Ruiyan Lin *^,1,

¹ College of marine electrical enginering, Dalian Maritime University, No. 1 Huanghe Road, Ganjingzi District, Dalian, Liaoning Province, China

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/2025.KL21655

Abstract

Under the condition of partial shading, the Power-Voltage curve of photovoltaic array presents a characteristic of multi-peak, when conventional maximum power point tracking (MPPT) algorithms, like Perturb and Observe method (PO), fail to track efficiently. Crow search algorithm (CSA) has outstanding global search capability, because of which it is used to track maximum power point under the condition of partial shading. But it also has the problems in local optimum and oscillating amplitude. To solve those problems, both of an auto judgment of power output and an optimization-orientation guided by elite individuals are introduced. The results presented in MATLAB/Simulink that the application of improved CSA in MPPT can track efficiently with lower level of oscillating amplitude.

Keywords

PV system, PO Method, MPPT, CSA, Elite individual

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Cite this article

Lin,R. (2025). Application of Improved Crow Search Algorithm in MPPT of Photovoltaic Arrays under Partial Shading Conditions. Applied and Computational Engineering,142,47-56.

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About volume

Volume title: Proceedings of MSS 2025 Symposium: Automation and Smart Technologies in Petroleum Engineering

Conference website: https://2025.confmss.org/

ISBN：978-1-83558-999-1(Print) / 978-1-80590-000-9(Online)

Conference date: 16 June 2025

Editor：Mian Umer Shafiq

Series: Applied and Computational Engineering

Volume number: Vol.142

ISSN：2755-2721(Print) / 2755-273X(Online)

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