Development of ANFIS based Algorithm for MPPT Controller for Standalone Photovoltaic System

Abstract

The maximum power point tracking controller is an integral part for efficient implementation of PV system. In this paper, an adaptive neuro fuzzy inference system (ANFIS)-based new algorithm for maximum power point tracking (MPPT) has been developed and implemented to track maximum power point in the standalone photovoltaic system (PV). The work proposes to control the switching of DC-DC boost converter using ANFIS approach and replace the conventional PI controller to detect the error signal. The results of the proposed approach are compared with incremental conductance approach under constant and varying irradiance and temperature conditions. From the proposed approach, the percentage error, rise time and voltage fluctuations have been improved as compared to the incremental conductance method. Further, the proposed adaptive controller effectively tracks the MPP considering all the major nonlinear variables and it improves the rise time and the steady state characteristics of the PV system.