A Reliable Deployment Strategy for Public Electric Vehicle Charging Stations: A Discrete Event Simulation Model for Power Grid and Traffic Networks

Y. Maïzi, E. C. Zhu, Ting Wu, Jianhao Zhou
{"title":"A Reliable Deployment Strategy for Public Electric Vehicle Charging Stations: A Discrete Event Simulation Model for Power Grid and Traffic Networks","authors":"Y. Maïzi, E. C. Zhu, Ting Wu, Jianhao Zhou","doi":"10.1109/WSC40007.2019.9004794","DOIUrl":null,"url":null,"abstract":"Today, with the help of low-cost and clean electricity, electric vehicles (EVs) show great potential for future urban transportation with little greenhouse gas emissions and air pollution. However, the use of EVs is still in its infancy with limited numbers of users worldwide. Public charging infrastructures can be one of the drivers to enhance the prevalence of EVs. In this paper, we aim to develop a framework to establish a reliable urban public charging infrastructure. We first determine the optimal locations and size of those stations by a robust optimization model incorporating uncertain traffic flows and existing power grid networks; and then we use a discrete event simulation approach to model more realistic charging demands. We further improve these optimal solutions and verify the EV charging infrastructure considering both power and transportation networks. We validate our models with real traffic and power grid data from a Southeast Chinese municipality.","PeriodicalId":127025,"journal":{"name":"2019 Winter Simulation Conference (WSC)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Winter Simulation Conference (WSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WSC40007.2019.9004794","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Today, with the help of low-cost and clean electricity, electric vehicles (EVs) show great potential for future urban transportation with little greenhouse gas emissions and air pollution. However, the use of EVs is still in its infancy with limited numbers of users worldwide. Public charging infrastructures can be one of the drivers to enhance the prevalence of EVs. In this paper, we aim to develop a framework to establish a reliable urban public charging infrastructure. We first determine the optimal locations and size of those stations by a robust optimization model incorporating uncertain traffic flows and existing power grid networks; and then we use a discrete event simulation approach to model more realistic charging demands. We further improve these optimal solutions and verify the EV charging infrastructure considering both power and transportation networks. We validate our models with real traffic and power grid data from a Southeast Chinese municipality.
公共电动汽车充电站的可靠部署策略:电网和交通网络的离散事件仿真模型
如今,在低成本和清洁电力的帮助下,电动汽车(EV)在未来的城市交通中显示出巨大的潜力,而且温室气体排放和空气污染很少。然而,电动汽车的使用仍处于起步阶段,全球用户数量有限。公共充电基础设施是推动电动汽车普及的动力之一。在本文中,我们旨在开发一个框架,以建立可靠的城市公共充电基础设施。首先,我们通过一个包含不确定交通流和现有电网网络的稳健优化模型,确定了这些充电站的最佳位置和规模;然后,我们使用离散事件模拟方法来模拟更现实的充电需求。我们进一步改进了这些优化解决方案,并对电动汽车充电基础设施进行了验证,同时考虑了电力和交通网络。我们利用中国东南某市的真实交通和电网数据验证了我们的模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信