电动汽车充电基础设施成本优化仿真

P. Arras, G. Tabunshchyk, S. Korotunov, Vyacheslav Okhmak
{"title":"电动汽车充电基础设施成本优化仿真","authors":"P. Arras, G. Tabunshchyk, S. Korotunov, Vyacheslav Okhmak","doi":"10.1109/E-TEMS46250.2020.9111715","DOIUrl":null,"url":null,"abstract":"To teach engineering students the interrelations and requirements for a robust, controlled and secured system incorporating all challenges of the modern IoT-system, an engineering case was developed. A charging station for electric batteries (such as for electric cars) was studied, both from the client (user at the load station) side as from the delivery side (service provider). The energy source is selected on criteria of availability and costs as both differ during the time (depending on weather conditions and grid load). In this paper, the authors look at the optimization of the delivery cost of energy depending on the energy source and time of charging.","PeriodicalId":345917,"journal":{"name":"2020 IEEE European Technology and Engineering Management Summit (E-TEMS)","volume":"2008 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Cost Optimization Simulation for Electric Vehicle Charging Infrastructure\",\"authors\":\"P. Arras, G. Tabunshchyk, S. Korotunov, Vyacheslav Okhmak\",\"doi\":\"10.1109/E-TEMS46250.2020.9111715\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To teach engineering students the interrelations and requirements for a robust, controlled and secured system incorporating all challenges of the modern IoT-system, an engineering case was developed. A charging station for electric batteries (such as for electric cars) was studied, both from the client (user at the load station) side as from the delivery side (service provider). The energy source is selected on criteria of availability and costs as both differ during the time (depending on weather conditions and grid load). In this paper, the authors look at the optimization of the delivery cost of energy depending on the energy source and time of charging.\",\"PeriodicalId\":345917,\"journal\":{\"name\":\"2020 IEEE European Technology and Engineering Management Summit (E-TEMS)\",\"volume\":\"2008 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE European Technology and Engineering Management Summit (E-TEMS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/E-TEMS46250.2020.9111715\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE European Technology and Engineering Management Summit (E-TEMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/E-TEMS46250.2020.9111715","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

为了让工程专业的学生了解一个包含现代物联网系统所有挑战的强大、可控和安全系统的相互关系和要求,我们开发了一个工程案例。研究了一个电池充电站(如电动汽车),从客户端(在负荷站的用户)和从交付端(服务提供商)。能源是根据可用性和成本的标准来选择的,因为两者在时间上是不同的(取决于天气条件和电网负荷)。在本文中,作者着眼于能源的输送成本的优化取决于能源和充电时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cost Optimization Simulation for Electric Vehicle Charging Infrastructure
To teach engineering students the interrelations and requirements for a robust, controlled and secured system incorporating all challenges of the modern IoT-system, an engineering case was developed. A charging station for electric batteries (such as for electric cars) was studied, both from the client (user at the load station) side as from the delivery side (service provider). The energy source is selected on criteria of availability and costs as both differ during the time (depending on weather conditions and grid load). In this paper, the authors look at the optimization of the delivery cost of energy depending on the energy source and time of charging.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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