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Optimization and control method for smart charging of EVs facilitated by Fleet operator:Review and classification

机译:Fleet运营商推动的电动汽车智能充电优化和控制方法:回顾和分类

摘要

Electric vehicles (EV) can become integral parts of a smart grid, since they are capable of providing valuable services to power systems other than just consuming power. As an important solution to balance the intermittent renewable energy re-sources, such as wind power and PVs, EVs can absorb the energy during the period of high electricity penetration and feed the electricity back into the grid when the demand is high or in situations of insufficient electricity generation. However, the extra loads created by increasing EVs may have adverse impacts on grid. These factors will bring new challenges to the utility system operator; accordingly, smart charging of EVs is needed. This paper presents a review and classification of methods for smart charging of EVs found in the literature. The study is mainly executed from the control theory perspectives. Firstly, service dependent aggrega-tion and the facilitator EV fleet operator are introduced. Secondly, control architec-tures and their integrations in term of electricity market and distribution grid are discussed. Then, data analysis of EVs including a battery model and driving pattern is presented. Further discussion is given on mathematical modelling and control of smart charging of EVs. Finally, the paper discusses and proposes future research directions in the area.
机译:电动汽车(EV)可以成为智能电网的组成部分,因为它们不仅可以为电力系统供电,还可以为电力系统提供有价值的服务。作为平衡间歇性可再生能源(例如风能和光伏发电)的重要解决方案,电动汽车可以在高电渗透率期间吸收能量,并在需求高或出现以下情况时将电能回馈到电网中发电不足。但是,电动汽车增加所产生的额外负载可能会对电网产生不利影响。这些因素将给公用事业系统运营商带来新的挑战。因此,需要对电动汽车进行智能充电。本文介绍了文献中发现的电动汽车智能充电方法的综述和分类。该研究主要从控制理论的角度进行。首先,介绍了服务相关的聚集和促进者EV车队运营商。其次,从电力市场和配电网的角度讨论了控制架构及其集成。然后,提出了电动汽车的数据分析,包括电池模型和驾驶模式。进一步讨论了电动汽车智能充电的数学建模和控制。最后,本文讨论并提出了该领域的未来研究方向。

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