Research demonstrates advanced MPPT enhancement in PV-battery systems, suggesting improved power quality.
This research presents an innovative method to improve photovoltaic (PV) systems integrated with batteries, emphasizing efficient power extraction and enhanced power quality. It combines the Coati optimization algorithm, inspired by coati foraging behavior, with Adaptive Neuro Fuzzy Inference Scheme (ANFIS) for precise maximum power point tracking (MPPT) under fluctuating solar conditions. The Coati algorithm ensures optimal energy harvesting, while battery storage mitigates solar energy intermittency. The system also addresses power quality challenges, reducing harmonic distortion and improving voltage stability. Simulations demonstrate its superiority over traditional MPPT methods, promoting efficient, reliable, and sustainable PV-battery systems for modern power grids.
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Pandey et al. (2026) studied this question.
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