MOTH-FLAME-MPPT Algorithms of PV Panels Under PSC

Photovoltaic solar panels are designed to provide the maximum desired power. But unexpected shading effects from clouds, buildings, tree branches and dust significantly reduce the performance of these panels. Shading is one of the factors that influences the reduction of the output power of photovoltaic modules. When a photovoltaic array receives partial shading during operation, its performance becomes difficult to predict due to the behavior of the nonlinear modules. The power-voltage curves are characterized by multiple local peaks and a single global peak. Meta-heuristic algorithms are optimization methods that present satisfactory performance in terms of exploration, exploitation, avoidance of local optima and convergence. This paper discusses the application of Mot-flame algorithm compared to different optimization method for finding the maximum power point. These MPPT algorithms (Maximum Power Point Tracking) are based on meta-heuristic optimization for photovoltaic systems under partial shading conditions. The paper investigates and compares the tracking capability of MPPT-metaheuristic algorithms was carried out under strong partial shading conditions (PSC), considering the number of evaluations, tracking time, efficiency and successful rate.