A Novel ANFIS Method for Detection of Maximum Power Point of Photovoltaic System

Abstract

In a photovoltaic (PV) systems, maximum power point tracking (MPPT) is a desired feature that is utilised to extract the power of the PV system under different solar insolation. In this paper, an artificial intlligent(AI) method known as the Adaptive Neural-Fuzzy interface system is used to detect the MPPT in the PV system under different solar insolation and temperature. The ANFIS metod along with a PI controller is used to extract maximum power from PV system under different solar insolation, temperarure, partial shading and load conditions. The ANFIS integrates an Artificial Neural Network (ANN) with a fuzzy logic controller(FLC), so it is more accurate and faster in response. To do this, the ANFIS uses FLC’s selectivity and ANN’s training. To demonstrate and analyze the performance of ANFIS based MPPT approach, a 250W solar panel with boost converter and the ANFIS algorithm is simulated by using MATLAB/SIMULINK. The power tracking performance of ANFIS algorithm is compared with other MPPT algorithms like Perturb Observe (P&O) and incremental conductance method (INC).