Energy optimization of PV systems under partial shading conditions using various technique-based MPPT methods

This study investigates the problems associated with the nonlinear power-voltage characteristics of photovoltaic (PV) systems, especially under partial shading conditions (PSC), which reduce energy efficiency and tracking accuracy. To overcome these limitations, two improved maximum power point tracking (MPPT) controllers based on Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) techniques are proposed. The controllers are designed with a suggested architecture that uses the power-voltage derivative ([Formula: see text]) and the voltage time derivative ([Formula: see text]) as input features, enabling predictive, non-iterative control. This approach eliminates the steady-state…