Marine Predictors Algorithm Optimization Technique to Estimate GMPP of PV Array Under Partial Shadowing Conditions

It is generally known that shadow circumstances negatively affect solar photovoltaic (PV) system performance, resulting in increased power loss (PL) and various power points (global and local) on P–V characteristics. This study examines PV array reconfiguration, an effective shadow reduction strategy. This metaheuristics-based reconfiguration method is compared to series–parallel and total-cross-tied PV array setups. The research uses MATLAB/Simulink and partial shading (PSCs). Comparative analysis, identification of performance metrics (e.g., global maximum power point (GMPP) locations, PL, power gain, fill factor (FF), and performance execution) would be better with the suggested PV array system reconfiguration approach. In the present investigation, two non-uniform irradiation patterns demonstrate the PV system’s nonlinear electrical performance. MPA-based PV array reconfiguration shows that PSCs perform better.