Firefly Algorithm-Based Photovoltaic Array Reconfiguration for Maximum Power Extraction during Mismatch Conditions

This studyaimed at improving the performance and efficiency of conventional static photovoltaic (PV) systems by introducing a metaheuristic algorithm-based approach that involves reconfiguring electrical wiring using switches under different shading profiles. Themetaheuristicalgorithmused wasthe firefly algorithm (FA), which controls switching patterns non-homogenous profiles tracks highest global peak power produced numerous patterns. study aimed to solve current problems faced PV systems, such as unequal dispersion affecting solar panels, multiple peaks, hot spot phenomena, can contribute significant loss reduction. The experimental setup focusedon software development system or model developed in MATLAB Simulink platform. Athorough comprehensive analysis was done comparing proposed method’s overall generation with thenovel PVseries–parallel (SP) topology totalcross-tied (TCT) scheme. SP configuration is widely used industry. However, TCT has superior energy yield compared other configurations, bridge-linked (BL) honey comb (HC) configurations. results presented this paper provide valuable information about features regard toenhancing arrays.