Design and optimization of a fuzzy logic based maximum power point tracker for pv panel

Today, because of the limits of fossil fuel resources, global warming and high crude oil prices researches and investments are focused on renewable energy generation systems. Energy from the sun is almost endless and free. So that, among all renewable energy generation methods, solar power generation has attracted the most attention by the researchers. As the issue of efficiency is one of the most important fundamental of solar power generation, maximum power point tracking systems have an important duty in solar power management systems in solar power generation. This study includes study of the design and improvement of fuzzy logic based solar power maximum power point tracker, and the methodology to achieve the best system performance. Maximum power point tracker system was evaluated at the DC-DC power converters' ability of impedance conversion point of view and cooperation of fuzzy logic theory. The parameters of fuzzy inference system were optimized to obtain the fastest and accurate system responses. Various tracking algorithms were introduced. Affects of symmetrical and asymmetrical membership functions used in fuzzy inference system were examined and compared with each other. The performance of the proposed fuzzy logic based maximum power point tracker under various operating conditions were compared and improvement of this performance is dealt with. Validity of the proposed maximum power point tracking system in standalone and grid connected applications was provedy The fuzzy logic maximum power point tracking function was realized by using a buck-boost power converter. Computer simulations were practiced and simulation results were also represented. Computer simulations were carried out in the Matlab Simulink environment.