Development of a Fuzzy Logic based, Photovoltaic Maximum Power Point tracking control system using boost converter

This paper presents simulation and hardware implementation of Fuzzy Logic based, grid connected photovoltaic maximum power point tracking control system using double boost converter. Contributions are made in several aspects of the whole system, including converter design, system simulation, controller programming, and experimental setup. The solar irradiation and temperature are mainly depends on the output power produced from the PV conversion process. Hence the maximum power point of PV array is tracked to maximize the efficiency of Photovoltaic system. The proposed method of this project is Maximum Power Point Tracker method based on Fuzzy Logic Controller which is applied to a stand-alone PV system. Contributions are made in several aspects of the whole system, including converter design, system simulation, controller programming, and experimental setup. By using this Fuzzy Logic Controller method we get high accuracy around the optimum point when compared to other conventional MPPT algorithms like hill climbing, incremental conductance and perturbation and observation. The proposed system consists of a standalone PV system, DC/DC Boost converters, Fuzzy Logic Controller and a load. Converter regulates voltage and current to provide a continuous maximum power to the load. The simulation results show the effectiveness of the proposed fuzzy logic controller applied for the PV system. MATLAB and Simulink were employed for simulation studies.