RESEARCH ON MULTIPEAK MPPT OF PHOTOVOLTAIC ARRAY BASED ON IBWO-IP&#x00026;O ALGORITHM

Ren Zhiling; Liu Jiang

doi:10.19912/j.0254-0096.tynxb.2023-1686

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (2) : 350-356. DOI: 10.19912/j.0254-0096.tynxb.2023-1686

RESEARCH ON MULTIPEAK MPPT OF PHOTOVOLTAIC ARRAY BASED ON IBWO-IP&O ALGORITHM

Ren Zhiling^1,2, Liu Jiang²

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Abstract

The PV array P-U curves show multiple peaks under complex shading environments, and the conventional maximum power tracking （MPPT） algorithm cannot find the maximum power point accurately and quickly. Therefore, an MPPT control method combining the improved beluga whale optimization（IBWO） algorithm and improved perturbation observation （IP&O） is proposed. IBWO adopts Henon chaotic mapping to increase the diversity of the population, and introduces an adaptive step factor and an optimal individual steering strategy, which enhances the ability of jumping out of the local optimum and global optimization searching, and then improves the tracking accuracy. IBWO tracks firstly around the maximum power point, and then IP&O is utilized to improve the tracking accuracy. Simulation experiments show that compared with the TSO and BWO algorithms, the IBWO-IP&O algorithm has faster tracking speed, higher tracking accuracy, and lower power oscillation in various complex shading environments.

Key words

solar cell / maximum power point tracking / photovoltaic power generation / adaptive step factor / chaotic mapping

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Ren Zhiling, Liu Jiang. RESEARCH ON MULTIPEAK MPPT OF PHOTOVOLTAIC ARRAY BASED ON IBWO-IP&O ALGORITHM[J]. Acta Energiae Solaris Sinica. 2025, 46(2): 350-356 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1686

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