Photovoltaic System MPPT using Fuzzy Logic Controller

Solar energy is environmentally friendly energy and it has an unlimited source in nature. To be able to get electrical energy from the sun, photovoltaic is needed that will convert sunlight energy into electrical energy. A photovoltaic has a non-linear output and cannot generate maximum power automatically because it is influenced by solar radiation, temperature, and shadow. Photovoltaic require a tracking system to produce maximum power. The fuzzy logic controller (FLC) is proposed in this paper as a Maximum Power Point Tracking (MPPT) system to get maximum power from photovoltaic with changes in irradiation and temperature. MPPT system will be connected to the zeta converter. Zeta converter is the development of a buck-boost converter with a low ripple and the same polarity as the input voltage polarity on the converter. The results of the simulation show that with changes in irradiance and temperature, the MPPT system using the fuzzy logic controller can find the Maximum Power Point. The average efficiency obtained from the simulation results when the irradiation change is 96.64% and the temperature change is 99.40%.