Balamurugan and Rajesh ANFIS based MPPT for GRID Connected Photovoltaic Generation System using Quasi-z-source Inverter ANFIS based MPPT for GRID Connected Photovoltaic Generation System using Quasi-z-source Inverter

This paper analyses the operation of an adaptive neurofuzzy inference system (ANFIS)-based maximum power point tracking (MPPT) for solar photovoltaic (SPV) energy generation system. The MPPT works on the principle of adjusting the voltage of the SPV modules by changing the duty ratio of the Quasi-zsource inverter. The duty ratio of the inverter is calculated for a given solar irradiance and temperature condition by a closed-loop control scheme. The closed-loop control of the qZSI regulates the duty ratio and the modulation index to effectively control the injected power and maintain the stringent voltage, current, and frequency conditions. The ANFIS is trained to generate maximum power corresponding to the given solar irradiance level and temperature. The response of the ANFIS-based control system is highly precise and offers an extremely fast response. The main objective for a grid-connected Photovoltaic (PV) inverter is to feed the harvested energy from PV panels to the grid with high efficiency and power quality. The simulation results show that the proposed ANFIS MPPT controller is very efficient, very simple and low cost. Index Terms – MPPT, ANFIS, Photovoltaic system, Quasi-ZSource Inverter