Energy Management System for Hybrid Renewable Energy-Based Electric Vehicle Charging Station

被引：33

作者：

Karmaker, Ashish Kumar ^{[1
,2
]}

Hossain, Md. Alamgir ^{[3
]}

Pota, Hemanshu Roy ^{[1
]}

Onen, Ahmet ^{[4
]}

Jung, Jaesung ^{[5
]}

机构：

[1] Univ New South Wales UNSW, Sch Engn & Informat Technol, Canberra, ACT 2600, Australia

[2] Dhaka Univ Engn & Technol, Dept Elect & Elect Engn, Gazipur 1707, Bangladesh

[3] Griffith Univ, Queensland Micro & Nanotechnol Ctr, Nathan, Qld 4111, Australia

[4] Sultan Qaboos Univ, Coll Engn, Dept Elect & Comp Engn, Muscat 123, Oman

[5] Ajou Univ, Dept Energy Syst Res, Suwon 16499, South Korea

来源：

IEEE ACCESS | 2023年 / 11卷

关键词：

Renewable energy sources; Costs; Electric vehicle charging; Optimization; Batteries; Energy management; State of charge; Electric vehicle; electric vehicle charging station; fuzzy logic; renewable resources; FEASIBILITY; QUALITY;

D O I：

10.1109/ACCESS.2023.3259232

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper introduces an energy management algorithm for a hybrid solar and biogas-based electric vehicle charging station (EVCS) that considers techno-economic and environmental factors. The proposed algorithm is designed for a 20-kW EVCS and uses a fuzzy inference system in MATLAB SIMULINK to manage power generation, EV power demand, charging periods, and existing charging rates to optimize real-time charging costs and renewable energy utilization. The results show that the proposed algorithm reduces energy costs by 74.67% compared to existing flat rate tariffs and offers lower charging costs for weekdays and weekends. The integration of hybrid renewables also results in a significant reduction in greenhouse gas emissions, with payback periods for charging station owners being relatively short, making the project profitable.

引用

页码：27793 / 27805

页数：13

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