Analysis of Energy Management for EV Charging Stations powered by renewable energy sources

Abstract

This work presents an algorithm for managing energy at an electric vehicle charging station (EVCS) that takes techno-economic and environmental issues into account. The station is a hybrid, using solar power and biogas as its fuel sources. The suggested approach optimizes renewable energy usage and real-time charging prices for a 20-kW EVCS by managing power production, EV power consumption, charging times, and existing charging rates using a fuzzy inference system in MATLAB SIMULINK. When compared to current flat rate tariffs, the findings demonstrate that the suggested algorithm delivers reduced charge prices for both weekdays and weekends and cuts energy expenses by 74.67%. Greenhouse gas emissions are significantly reduced by the integration of hybrid renewables, and owners of charging stations have very short payback periods, making the project economical.
Index Terms: REnewable Energy, Electric Vehicles, Charging Stations, Fuzzy Logic.