Maximum Power Point Tracking in PV System with Home Applications

The use of photovoltaic energy in modern transmission systems is increasingly preferred due to its environmentally friendly features. Modular photovoltaics show a nonlinear correlation between the generated power and the environmental conditions. This study presents a Maximum Power Point Tracker (MPPT) based on an Adaptive Neuro-Fuzzy Inference System (ANFIS) to optimize solar power systems. The designed controller optimizes the output power of a DC-DC converter linked to a 250W solar array. The complete analysis of the model is done using MATLAB/SIMULINK, considering the key characteristics of the technical data. The controller behavior is evaluated under diverse weather conditions. The paper suggests that the controller is effective in tracking peak power of the panel.