电动汽车PL智能预约系统的最优充电调度

Tayfur Gokcek, S. Guner, Jale Sadreddini, O. Erdinç
{"title":"电动汽车PL智能预约系统的最优充电调度","authors":"Tayfur Gokcek, S. Guner, Jale Sadreddini, O. Erdinç","doi":"10.1109/ICPSE56329.2022.9935434","DOIUrl":null,"url":null,"abstract":"With increasing the penetration rate of electric vehicle (EV) usage, the challenge of finding an available parking slot has been turned into finding an available parking slot having EV charger in metropolitans. Smart charging reservation systems considering EV drivers’ preferences can facilitate finding an available charging station as well as managing the charging load of EVs in a parking lot. In this study, a bi-level optimization model is defined for minimizing the parking price of EV users, maximizing the profit of EV parking lot (PL) operator and the last one minimizing total power losses of the distribution network. A smart charging reservation system is used to select the EVs which are accepted for giving charging service considering several parameters. This reservation system was generated using Analytical Hierarchy Process (AHP) from Multi-Criteria Decision Making (MCDM) techniques. A PV system on the roof the PL is modelled to support the charging load of EVs at the PL. A mixed-integer linear programming model is established for solving the generated optimization problem.","PeriodicalId":421812,"journal":{"name":"2022 11th International Conference on Power Science and Engineering (ICPSE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimum Charging Scheduling of an EV PL Owning Smart Reservation System\",\"authors\":\"Tayfur Gokcek, S. Guner, Jale Sadreddini, O. Erdinç\",\"doi\":\"10.1109/ICPSE56329.2022.9935434\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With increasing the penetration rate of electric vehicle (EV) usage, the challenge of finding an available parking slot has been turned into finding an available parking slot having EV charger in metropolitans. Smart charging reservation systems considering EV drivers’ preferences can facilitate finding an available charging station as well as managing the charging load of EVs in a parking lot. In this study, a bi-level optimization model is defined for minimizing the parking price of EV users, maximizing the profit of EV parking lot (PL) operator and the last one minimizing total power losses of the distribution network. A smart charging reservation system is used to select the EVs which are accepted for giving charging service considering several parameters. This reservation system was generated using Analytical Hierarchy Process (AHP) from Multi-Criteria Decision Making (MCDM) techniques. A PV system on the roof the PL is modelled to support the charging load of EVs at the PL. A mixed-integer linear programming model is established for solving the generated optimization problem.\",\"PeriodicalId\":421812,\"journal\":{\"name\":\"2022 11th International Conference on Power Science and Engineering (ICPSE)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 11th International Conference on Power Science and Engineering (ICPSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPSE56329.2022.9935434\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 11th International Conference on Power Science and Engineering (ICPSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPSE56329.2022.9935434","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

随着电动汽车使用普及率的提高,在大城市寻找可用停车位的难题已经变成了寻找有电动汽车充电器的可用停车位的难题。智能充电预约系统考虑到电动汽车司机的喜好,可以方便地找到可用的充电站,并管理停车场电动汽车的充电负荷。本文定义了以电动汽车用户停车价格最小、电动汽车停车场运营商利润最大、配电网总损耗最小为目标的双层优化模型。采用智能充电预约系统,综合考虑多个参数,选择可接受充电的电动汽车。该预订系统采用多准则决策(MCDM)技术中的层次分析法(AHP)生成。建立了电站屋顶光伏系统的模型,以支持电站上电动汽车的充电负荷,并建立了混合整数线性规划模型来求解生成的优化问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimum Charging Scheduling of an EV PL Owning Smart Reservation System
With increasing the penetration rate of electric vehicle (EV) usage, the challenge of finding an available parking slot has been turned into finding an available parking slot having EV charger in metropolitans. Smart charging reservation systems considering EV drivers’ preferences can facilitate finding an available charging station as well as managing the charging load of EVs in a parking lot. In this study, a bi-level optimization model is defined for minimizing the parking price of EV users, maximizing the profit of EV parking lot (PL) operator and the last one minimizing total power losses of the distribution network. A smart charging reservation system is used to select the EVs which are accepted for giving charging service considering several parameters. This reservation system was generated using Analytical Hierarchy Process (AHP) from Multi-Criteria Decision Making (MCDM) techniques. A PV system on the roof the PL is modelled to support the charging load of EVs at the PL. A mixed-integer linear programming model is established for solving the generated optimization problem.
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