Electric Vehicle Charging Scheduling Strategy for Supporting Load Flattening Under Uncertain Electric Vehicle Departures  

作　　者：Han Wang Mengge Shi Peng Xie Chun Sing Lai Kang Li Youwei Jia 

机构地区：[1]IEEE [2]Department of Electrical and Electronic Engineering,Southern University of Science and Technology,Shenzhen 518055,China [3]School of Electronic and Electrical Engineering,University of Leeds,Leeds,LS29JT,UK [4]Brunel Interdisciplinary Power Systems Research Centre,Department of Electronic and Electrical Engineering,Brunel University London,London UB83PH,UK

出　　处：《Journal of Modern Power Systems and Clean Energy》2023年第5期1634-1645,共12页现代电力系统与清洁能源学报（英文）

基　　金：supported by the National Natural Science Foundation of China(No.72071100);Shenzhen Basic Research Program(No.JCYJ20210324104410030);Young Elite Scientist Sponsorship Program by CSEE(No.CSEE-YESS-2020027)。

摘　　要：The scheduled electric vehicle(EV)charging flexibility has great potential in supporting the operation of power systems,yet achieving such benefits is challenged by the uncertain and user-dependent nature of EV charging behavior.Existing research primarily focuses on modeling the uncertain EV arrival and battery status yet rarely discusses the uncertainty in EV departure.In this paper,we investigate the EV charging scheduling strategy to support load flattening at the distribution level of the utility grid under uncertain EV departures.A holistic methodology is proposed to formulate the unexpected trip uncertainty and mitigate its negative impacts.To ensure computational efficiency when large EV fleets are involved,a distributed solution framework is developed based on the alternating direction method of multipliers(ADMM)algorithm.The numerical results reveal that unexpected trips can severely damage user convenience in terms of EV energy content.It is further confirmed that by applying the proposed methodology,the resultant critical and sub-critical user convenience losses due to scheduled charging are reduced significantly by 83.5%and 70.5%,respectively,whereas the load flattening performance is merely sacrificed by 17%.

关 键 词：Electric vehicle(EV) EV fleet uncertain departure user convenience distributed solution 

分 类 号：U491.8[交通运输工程—交通运输规划与管理] TM910.6[交通运输工程—道路与铁道工程]