电动汽车自主光伏充电站的随机建模与优化

Ghraslia Wajdi, Kchiche Amine, Kammoun Farouk
{"title":"电动汽车自主光伏充电站的随机建模与优化","authors":"Ghraslia Wajdi, Kchiche Amine, Kammoun Farouk","doi":"10.1109/GreenTech48523.2021.00043","DOIUrl":null,"url":null,"abstract":"Electric vehicles (EV) are an environmentally friendly alternative to internal combustion engine vehicles. Despite their environmental benefits, the massive demand for electricity imposed by the expected growth of EVs could affect the safe and economical operation of the electricity grid. For this reason, solar-powered electric vehicle charging stations are viewed as a promising solution for an energy supplement to cope with the increasing number of EVs. In this paper, we consider an autonomous photovoltaic charging station and propose an admission control algorithm and a charging schedule to solve the problem of limited energy storage in the station pack and reduced space in an EV charging station. The simulation results demonstrate that the proposed admission and scheduling algorithm outperformed Short Job First (SJF) algorithm. Besides, the introduced algorithm allowed maximizing the performance of the charging station.","PeriodicalId":146759,"journal":{"name":"2021 IEEE Green Technologies Conference (GreenTech)","volume":"208 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Stochastic modeling and optimization of Electric Vehicle autonomous photovoltaic charging Station\",\"authors\":\"Ghraslia Wajdi, Kchiche Amine, Kammoun Farouk\",\"doi\":\"10.1109/GreenTech48523.2021.00043\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Electric vehicles (EV) are an environmentally friendly alternative to internal combustion engine vehicles. Despite their environmental benefits, the massive demand for electricity imposed by the expected growth of EVs could affect the safe and economical operation of the electricity grid. For this reason, solar-powered electric vehicle charging stations are viewed as a promising solution for an energy supplement to cope with the increasing number of EVs. In this paper, we consider an autonomous photovoltaic charging station and propose an admission control algorithm and a charging schedule to solve the problem of limited energy storage in the station pack and reduced space in an EV charging station. The simulation results demonstrate that the proposed admission and scheduling algorithm outperformed Short Job First (SJF) algorithm. Besides, the introduced algorithm allowed maximizing the performance of the charging station.\",\"PeriodicalId\":146759,\"journal\":{\"name\":\"2021 IEEE Green Technologies Conference (GreenTech)\",\"volume\":\"208 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE Green Technologies Conference (GreenTech)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GreenTech48523.2021.00043\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE Green Technologies Conference (GreenTech)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GreenTech48523.2021.00043","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

电动汽车(EV)是内燃机汽车的环保替代品。尽管电动汽车具有环境效益,但电动汽车的预期增长所带来的巨大电力需求可能会影响电网的安全和经济运行。因此,太阳能电动汽车充电站被认为是一种很有前途的能源补充方案,以应对越来越多的电动汽车。本文以自主式光伏充电站为研究对象,提出了一种允许控制算法和充电计划,以解决充电站组储能有限、充电站空间缩小的问题。仿真结果表明,该算法优于Short Job First (SJF)算法。此外,所引入的算法允许充电站的性能最大化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stochastic modeling and optimization of Electric Vehicle autonomous photovoltaic charging Station
Electric vehicles (EV) are an environmentally friendly alternative to internal combustion engine vehicles. Despite their environmental benefits, the massive demand for electricity imposed by the expected growth of EVs could affect the safe and economical operation of the electricity grid. For this reason, solar-powered electric vehicle charging stations are viewed as a promising solution for an energy supplement to cope with the increasing number of EVs. In this paper, we consider an autonomous photovoltaic charging station and propose an admission control algorithm and a charging schedule to solve the problem of limited energy storage in the station pack and reduced space in an EV charging station. The simulation results demonstrate that the proposed admission and scheduling algorithm outperformed Short Job First (SJF) algorithm. Besides, the introduced algorithm allowed maximizing the performance of the charging station.
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:481959085
Book学术官方微信