A comprehensive review on electric vehicles: charging and control techniques, electric vehicle-grid integration

Q2 Engineering
P. Femy, J. Jayakumar
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引用次数: 0

Abstract

Abstract Energy consumption in the field of transportation comes next to industrial consumption worldwide. If transportation is completely powered by renewable energy, the utilization of fossil fuels can be drastically reduced, which will result in a lesser amount of greenhouse gas emissions. Electric vehicles (EVs) can act as an alternative to make transportation pollution-free. Large-scale usage of EVs causes high electricity demand on the supply system. This problem can be overcome by utilizing renewable energy sources (RESs) for Electric Vehicle charging. Due to the unpredictability of RESs, coordinating EV charging with other loads and renewable generation is problematic. By using EVs as energy units, power fluctuations in the electric grid can be compensated. This paper presents a summary of recent research in the domain of integration of electric vehicles (EVs) to the smart grid. Electric vehicles-smart grid integrated systems face several issues related to communication, grid infrastructure and control in the future power system. Smart grid technologies are summarized in Section 2. The existing research articles in this area are classified into two based on the purpose: EVs integration into the electric grid and Vehicle to grid services. Finally, the research gaps and future scope of incorporating electric vehicles with renewable energy sources and the Smart grid are highlighted.
电动汽车研究综述:充电与控制技术、电动汽车与电网集成
在世界范围内,交通运输领域的能源消耗仅次于工业消耗。如果交通运输完全由可再生能源驱动,化石燃料的使用可以大大减少,这将导致较少的温室气体排放。电动汽车(ev)可以作为一种替代方案,使交通运输无污染。电动汽车的大规模使用给供电系统带来了巨大的电力需求。这个问题可以通过利用可再生能源(RESs)为电动汽车充电来解决。由于RESs的不可预测性,电动汽车与其他负荷和可再生能源发电的协调充电是一个问题。利用电动汽车作为能量单元,可以补偿电网中的功率波动。本文综述了电动汽车与智能电网集成领域的最新研究进展。在未来的电力系统中,电动汽车-智能电网集成系统面临着通信、电网基础设施和控制等诸多问题。第二节对智能电网技术进行了总结。该领域已有的研究文章根据研究目的可分为电动汽车入网和车对网服务两大类。最后,强调了电动汽车与可再生能源和智能电网结合的研究差距和未来的范围。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Energy Harvesting and Systems
Energy Harvesting and Systems Energy-Energy Engineering and Power Technology
CiteScore
2.00
自引率
0.00%
发文量
31
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