Application of an improved butterfly optimization algorithm for photovoltaic maximum power point tracking under non-uniform solar irradiance

Ronggeng Huang; Haijun Lin

doi:10.1117/12.2619592

29 November 2021 Application of an improved butterfly optimization algorithm for photovoltaic maximum power point tracking under non-uniform solar irradiance

Ronggeng Huang, Haijun Lin

Author Affiliations +

Proceedings Volume 12080, 4th International Symposium on Power Electronics and Control Engineering (ISPECE 2021); 1208002 (2021) https://doi.org/10.1117/12.2619592
Event: 4th International Symposium on Power Electronics and Control Engineering (ISPECE 2021), 2021, Nanchang, China

Abstract

Conventional maximum power point tracking algorithms are usually fall into local peak power point under non-uniform solar irradiance. So an improved butterfly optimization algorithm for photovoltaic maximum power point tracking is proposed. In global updating phase, the introduction of previous position change and the rewriting of butterfly position update equation are used to improve convergence speed and search accuracy. In local updating phase, the best position of individual butterfly is introduced to improve search efficiency. The simulation and experimental results show that IBOA can track the maximum power point quickly and accurately, and the tracking speed and the tracking efficiency are better than PSO.

Citation Download Citation

Ronggeng Huang and Haijun Lin "Application of an improved butterfly optimization algorithm for photovoltaic maximum power point tracking under non-uniform solar irradiance", Proc. SPIE 12080, 4th International Symposium on Power Electronics and Control Engineering (ISPECE 2021), 1208002 (29 November 2021); https://doi.org/10.1117/12.2619592

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