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Implementation of Five Types Strategies for Maximum Power Point Tracking in Photovoltaic System

Solar energy is one of the most available renewable energy sources due to several advantages, such as being environmentally friendly, free maintenance, and omnipresent. Still, it does not come for free because of the effect of ambient weather conditions (temperature and irradiance) on the power generation from the panels. Therefore, extracting maximum power point (MPP) from PV aims to improve PV systems' efficiency. This paper intends to provide a comparative study to investigate the performance of several methods, Perturb and Observe (P&O), Incremental Conductance (INC), Modified Perturb and Observe (M-P&O), Modified Incremental Conductance (M-INC), and soft computing techniques (fuzzy logic) of maximum power point tracking (MPPT) for PV module. The comparison results are simulated in the MATLAB/Simulink environment by using dc-dc boost converter at different solar irradiation and constant temperature where focus on various aspects; oscillation around the MPP, response time, complexity, and efficiency. The fuzzy logic controller has been proven to satisfy the adequate performance of all compared factors.