September 23, 2025EnergiesOpen Access

Hybrid Artificial Neural Network and Perturb & Observe Strategy for Adaptive Maximum Power Point Tracking in Partially Shaded Photovoltaic Systems

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The hybrid ANN–P&O method achieved a 15.6–49% improvement in tracking efficiency under shading scenarios.
Relative enhancements included up to 20% in stability and 54% in convergence speed compared to traditional P&O.
Using MATLAB/Simulink, the study simulated dynamic shading effects to evaluate performance across varying irradiance.
The approach highlights the potential for ANN techniques to optimize energy harvest in partially shaded photovoltaic systems.

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Hybrid method improves maximum power point tracking efficiency in photovoltaic systems, suggesting better energy yield under shading.

Cruz et al. (2025) studied this question.

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