An improved grey wolf optimization-based MPPT algorithm for photovoltaic systems under partial shading conditions
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Researchers are exploring various optimization algorithms to improve maximum power point tracking in photovoltaic systems under partial shading conditions. Different approaches, including grey wolf, dhole-inspired, hippopotamus, and sooty tern optimization, among others, are being developed and tested. The effectiveness of these algorithms in enhancing the performance of photovoltaic systems is being investigated through simulations and experimental validations.
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