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“Solar synergy: maximizing photovoltaic power with spotted hyena method in uniform and partial-shade environmental conditions”

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Abstract

A novel bioinspired Spotted-Hyena Method (SH) is proposed to track the maximum power point of partially shaded photovoltaic arrays. The SH algorithm can operate the panel at its most efficient voltage and overcome the drawbacks of existing methods, such as steady-state oscillations, poor tracking capability and complex procedures. The SH algorithm is simple to implement and does not need additional controller-parameter tuning. The performance of the SH algorithm is evaluated for different string arrangements under six partial-shade conditions and compared with perturb-and-observe (P&O) and Grey Wolf Optimization (GWO) methods. The results show that the SHO algorithm has faster tracking speed and higher accuracy than the GWO and P&O methods. The experimental results confirm the simulation results.

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Authors and Affiliations

  1. Sam Higginbottom University of Agriculture, Technology And Sciences, Prayagraj, Uttar Pradesh, India

    Saurabh Pandey & Manish Kumar Srivastava

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  1. Saurabh Pandey
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  2. Manish Kumar Srivastava
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Correspondence to Saurabh Pandey.

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Pandey, S., Srivastava, M.K. “Solar synergy: maximizing photovoltaic power with spotted hyena method in uniform and partial-shade environmental conditions”. Int. j. inf. tecnol. (2024). https://doi.org/10.1007/s41870-024-02035-1

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