Implementation of Grid Connected PV System using Luo-Fuzzy with Maximum Power Point Tracking

To get the maximum solar power from solar panel by implementing fuzzy logic controller using LUO converter with maximum power point tracking in real time application In this paper, uniform solar illumination model and partial shading model with two solar modules in series are proposed. A luo converter is adopted to adjust the output of solar panels obtained from a digital signal processor on a basis of the load impedance and the characteristics of solar panels. Finally, this study develops a power supply with the maximum short circuit current of 5A and maximum open circuit voltage of 60V. Load is changed time after time so as to depict V-I curve and verify the practicability of the power supply. Maximum power point trackers are so important to improve the efficiency of photovoltaic systems. Many methods have been proposed to achieve the maximum power that the PV modules are capable of producing under different atmospheric conditions. This paper proposed a fuzzy logic based Maximum Power Point Tracking (MPPT) algorithm for solar system. The solar panel is simulated and analysed in MATLAB/SIMULINK. Photovoltaic system is connected to a DC-DC Luo converter. The Solar panel can produce maximum power at a certain operating point called Maximum Power Point (MPP).To achieve maximum power and to get maximum efficiency, the whole system must operate at that Maximum Power point. Maximum power point of PV panel keeps same on changing with changing solar irradiance and temperature of cell. Then to obtain maximum power from a PV system, MPPT algorithms are implemented. So that, fuzzy logic based MPPT is developed and Simulation results show the effective of the fuzzy based controller to produce more stable power.