Comparative Analysis of The Traditional Perturb and Observe with Studied FPPT Method and Fuzzy Logic Control Strategy Based P and O for the MPPT of a Photovoltaic System

The Maximum power point trackers (MPPT) do a significant work to withdraw power from photovoltaic (PV) panel as they gives the maximum power point (MPP) regardless of continuously change in temperature and at different irradiances. Nevertheless majority of these techniques have inconveniences as far as efficiency, precision, and adaptability. Due to the irregularities of the irradiations, current-voltage variations and the nonlinearity of DC-DC converters by the reason of switching, standard controllers can't give the best response and conventional MPPT P and O strategy has its own disadvantages too. In order to overcome this, Fuzzy Logic Control Strategy based Perturb and Observe for the MPPT of a photovoltaic system gives the better result as compared to traditional MPPT methods and studied FPPT method for the same temperature, irradiance and PV specifications. Fuzzy logic gives a better controller for nonlinear type application and for overcoming complexity in the system. The simulate output indicate that FLC can acquire the better outcomes and is fit to be applied to the hardware model. The proposed technique planned in MATLAB/Simulink represents that the execution of MPPT strategy is worked on as far as fluctuations about the maximum power point, velocity, susceptibility to differentiate parameters.