Novel Intelligent control of photovoltaic system using ANFIS Gravitational Search for MPPT controller

Abstract

. An MPPT (Maximum Power Point Tracking) controller is a crucial component in photovoltaic (PV) systems connected to the grid. It optimizes the power output of the PV panels by tracking the maximum power point (MPP) of the PV array and adjusting the operating conditions to extract the maximum available energy. ANFIS (Adaptive Neuro-Fuzzy Inference System) is a computational model that combines the principles of fuzzy logic and neural networks. It can be used as a control strategy for MPPT in photovoltaic systems. ANFIS-based MPPT controllers utilize the adaptive and learning capabilities of ANFIS to track the MPP of the PV array. In this regard, in this article, Investigation to MPPT controller of Microgrid using Gravitational Search Algorithm and ANFIS Controller.