Modeling and Analysis of Electric Vehicle Charging Load in Residential Area

Chuangxin Guo, Dongyu Liu, W. Geng, Chengzhi Zhu, Xueping Wang, Xiu Cao
{"title":"Modeling and Analysis of Electric Vehicle Charging Load in Residential Area","authors":"Chuangxin Guo, Dongyu Liu, W. Geng, Chengzhi Zhu, Xueping Wang, Xiu Cao","doi":"10.1109/ICPRE48497.2019.9034848","DOIUrl":null,"url":null,"abstract":"In this paper, a new method for modeling and analyzing the charging load of urban electric vehicles in the residential area is proposed, based on the factors including parking and charging characteristics of electric vehicles. Firstly, according to the parking behavior of electric vehicles, the paper establishes the parking model. Subsequently, by analyzing the mileage distribution as well as the relationship between mileage and power consumption, the state-of-charge (SOC) model is established. Then, combining those models and other regional characteristics, the paper proposes the specific charging model of electric vehicles in the residential area, which is utilized to forecast the charging load of electric vehicles in residential areas. In the charging model, optimization of power consumption simulation, return time distribution, and power distribution when return are included. Finally, taking Shanghai as an example, the paper applies the comprehensive charging model to draw rich conclusions, which can be helpful for dispatching and other work of the urban grid system in the future.","PeriodicalId":387293,"journal":{"name":"2019 4th International Conference on Power and Renewable Energy (ICPRE)","volume":"258 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 4th International Conference on Power and Renewable Energy (ICPRE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPRE48497.2019.9034848","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

In this paper, a new method for modeling and analyzing the charging load of urban electric vehicles in the residential area is proposed, based on the factors including parking and charging characteristics of electric vehicles. Firstly, according to the parking behavior of electric vehicles, the paper establishes the parking model. Subsequently, by analyzing the mileage distribution as well as the relationship between mileage and power consumption, the state-of-charge (SOC) model is established. Then, combining those models and other regional characteristics, the paper proposes the specific charging model of electric vehicles in the residential area, which is utilized to forecast the charging load of electric vehicles in residential areas. In the charging model, optimization of power consumption simulation, return time distribution, and power distribution when return are included. Finally, taking Shanghai as an example, the paper applies the comprehensive charging model to draw rich conclusions, which can be helpful for dispatching and other work of the urban grid system in the future.
居民区电动汽车充电负荷建模与分析
本文提出了一种基于电动汽车停放特性和充电特性等因素的住宅小区城市电动汽车充电负荷建模与分析的新方法。首先,根据电动汽车的停车行为,建立了停车模型。随后,通过分析续航里程分布以及续航里程与功耗的关系,建立了荷电状态(SOC)模型。然后,结合这些模型和其他区域特征,提出了住宅小区电动汽车的具体充电模型,并利用该模型对住宅小区电动汽车充电负荷进行预测。充电模型中包含了功耗仿真优化、返回时间分布优化、返回时功率分布优化。最后,以上海市为例,运用综合收费模型得出丰富的结论,为今后城市电网系统的调度等工作提供参考。
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:481959085
Book学术官方微信