Comparison of ANN-based MPPT controller and incremental conductance for photovoltaic system

Abstract

The efficiency of photovoltaic (PV) panel is affected by the changing irradiation and temperature. So it is important to implement maximum power point tracking (MPPT) for PV systems. This is done to enhance the efficiency of the system. In this paper, a grid-connected system has been taken, and an artificial neural network (ANN) based MPPT controller has been designed and simulated in MATLAB/SIMULINK environment, and the results have been compared with the conventional incremental conductance (IC) algorithm. The study has been performed for changing solar irradiation.