Comparative Analysis of P&O and Fuzzy Logic Controller based MPPT in a Solar cell

Solar energy generation using photovoltaic (PV) systems is remaining as an appropriate solution for the increasing electricity demands. As the output from the solar panel varies with respect to the atmospheric conditions like temperature and irradiance, it is very much essential to obtain the full amount of required power from the solar PV system, which can be accomplished using power converters. There are different maximum power point tracking (MPPT) algorithms to control the duty cycle of the converters, which will be further used for extracting maximum power from PV module. The proposed research work has compared the Perturb and observe method (P&O) and Fuzzy Logic Control (FLC) based MPPT techniques using MATLAB/ Simulink models. Results generated under varying atmospheric conditions were analyzed to determine the best strategy among them.