The Fuzzy-Based Smart Charging Management System for an Electric Vehicle Parking Lot Including a Roof-Top Pv System

Abstract

Electric vehicles (EVs) and photovoltaic (PV) systems are one of the most appropriate coupled facilities with each other in smart grids. The goal of this study is to develop a fuzzy-based smart charging management system (SCMS) in order to enable more economic benefits to the EV parking lot from the roof-top PV system under market conditions with dynamic pricing. To achieve this, PV model, parking lot model and energy market model are generated and they are considered as the inputs of the SCMS. The SCMS decides whether the energy generated by the PV system is injected into the grid or used for charging electric vehicles. All models are generated using real system data in this study. Furthermore, using bi-facial PV panels in the PV system simulation is one of the novel approaches of this study. Charging EVs in the PLs from renewable energy resources is very important as it will facilitate the management of this mobile load in the near future. The results of this study will both help to manage the EV load and increase the profit of the EV PL.