Paper Title
Decentralized ANFIS Control of Microgrid for Electric Vehicle Charging Station

Abstract
Abstract - Charging of Electric vehicles may impose a significant power load on the existing grid system. Additionally, the integration of EVs with distributed generation units may result in several uncertainties in microgrids. The real challenge is controlling the frequency in a microgrid. In this proposed work, the performance of the Adaptive Neuro-Fuzzy Inference Systems (ANFIS) MPPT controller for solar photovoltaic systems and the ANFIS EV controller for the EV charging station is proposed and implemented. During different temperatures and irradiance conditions, the ANFIS MPPT controller strictly monitors the amount of power extracted from the photovoltaic system. ANFIS EV Controller manages the charging and discharging of plugged-in EVs in accordance with the microgrid's frequency and EV battery's state of charge. Dynamic simulations are performed in MATLAB/SIMULINK environment to demonstrate the right performance of smart ANFIS controllers. Keywords - Adaptive Neuro-fuzzy Interface systems (ANFIS), Maximum Power Point Tracking (MPPT), Electric Vehicle (EV)