Optimization of PV Energy Generation based on ANFIS

The main point of this paper is to take bring out the maximum power for ever-increasing the efficiency of solar photovoltaic (PV) under unstable weather conditions. It is a method of hybrid small scale solar energy conversion system that use an adaptive neural fuzzy interface system (ANFIS). The conversion of solar energy, mostly depends on the irradiation and temperature. ANFIS is used to extract maximum feasible power under unstable solar irradiance and temperature by generating duty cycle through pulse width modulation (PWM). Duty cycle triggers the gate of DC-DC boost converter. This proposed system has been optimized by using MATLAB/Simulink software. The simulation results of the MPPT controller show that very effective and efficient than other ordinary conventional systems such as without MPPT system.