IMPROVED PHOTOVOLTAIC MAXIMUM POWER POINT TRACKING BASED ON CUCKOO SEARCH ALGORITHM

Ge Chuanjiu; Wu Peng; Dong Xiangxiang; Jin Junzhe

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

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Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (10) : 59-64. DOI: 10.19912/j.0254-0096.tynxb.2021-0423

IMPROVED PHOTOVOLTAIC MAXIMUM POWER POINT TRACKING BASED ON CUCKOO SEARCH ALGORITHM

Ge Chuanjiu, Wu Peng, Dong Xiangxiang, Jin Junzhe

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Abstract

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.

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Ge Chuanjiu, Wu Peng, Dong Xiangxiang, Jin Junzhe. IMPROVED PHOTOVOLTAIC MAXIMUM POWER POINT TRACKING BASED ON CUCKOO SEARCH ALGORITHM[J]. Acta Energiae Solaris Sinica. 2022, 43(10): 59-64 https://doi.org/10.19912/j.0254-0096.tynxb.2021-0423

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