基于能量管理的电动汽车充电站多参数动态调度

IF 2.5 Q2 ENGINEERING, INDUSTRIAL IET Collaborative Intelligent Manufacturing Pub Date : 2022-12-08 DOI:10.1049/cim2.12068
Haodong Wang, Ning Chen, Zan Liu, Songwei Zhang, Zhiguo Li, Tie Qiu
{"title":"基于能量管理的电动汽车充电站多参数动态调度","authors":"Haodong Wang,&nbsp;Ning Chen,&nbsp;Zan Liu,&nbsp;Songwei Zhang,&nbsp;Zhiguo Li,&nbsp;Tie Qiu","doi":"10.1049/cim2.12068","DOIUrl":null,"url":null,"abstract":"<p>To make charging of electric vehicles (EVs) more convenient, the service providers of charging stations (CSs) establish a large number of CSs. Existing methods address the problem of reducing costs and increasing revenue for the service providers from multiple aspects, such as CS location optimisation and charging pricing strategy. This study proposes multi-parameters-based-dynamic scheduling with energy management for the CSs, considering energy management and EV charging scheduling (EVCS). A fully functional battery management system is designed for energy storage. A multi-parameters optimisation algorithm is proposed by designing the CS selection operator based on alternative set and adjusting parameters. The experiments show that our proposed algorithms got better performance in terms of optimisation effect, the number of iterations, and stability.</p>","PeriodicalId":33286,"journal":{"name":"IET Collaborative Intelligent Manufacturing","volume":"5 1","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cim2.12068","citationCount":"0","resultStr":"{\"title\":\"Multi-parameters dynamic scheduling with energy management for electric vehicle charging stations\",\"authors\":\"Haodong Wang,&nbsp;Ning Chen,&nbsp;Zan Liu,&nbsp;Songwei Zhang,&nbsp;Zhiguo Li,&nbsp;Tie Qiu\",\"doi\":\"10.1049/cim2.12068\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>To make charging of electric vehicles (EVs) more convenient, the service providers of charging stations (CSs) establish a large number of CSs. Existing methods address the problem of reducing costs and increasing revenue for the service providers from multiple aspects, such as CS location optimisation and charging pricing strategy. This study proposes multi-parameters-based-dynamic scheduling with energy management for the CSs, considering energy management and EV charging scheduling (EVCS). A fully functional battery management system is designed for energy storage. A multi-parameters optimisation algorithm is proposed by designing the CS selection operator based on alternative set and adjusting parameters. The experiments show that our proposed algorithms got better performance in terms of optimisation effect, the number of iterations, and stability.</p>\",\"PeriodicalId\":33286,\"journal\":{\"name\":\"IET Collaborative Intelligent Manufacturing\",\"volume\":\"5 1\",\"pages\":\"\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2022-12-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cim2.12068\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IET Collaborative Intelligent Manufacturing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1049/cim2.12068\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Collaborative Intelligent Manufacturing","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/cim2.12068","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 0

摘要

为了方便电动汽车的充电,充电站服务商建立了大量的充电站。现有的方法从CS位置优化和收费定价策略等多个方面解决了服务提供商降低成本和增加收入的问题。本文从能源管理和电动汽车充电调度的角度出发,提出了一种基于多参数的电动汽车能源管理动态调度方法。设计了一套功能齐全的电池存储管理系统。通过设计基于备选集和参数调整的CS选择算子,提出了一种多参数优化算法。实验结果表明,本文提出的算法在优化效果、迭代次数和稳定性方面都取得了较好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Multi-parameters dynamic scheduling with energy management for electric vehicle charging stations

To make charging of electric vehicles (EVs) more convenient, the service providers of charging stations (CSs) establish a large number of CSs. Existing methods address the problem of reducing costs and increasing revenue for the service providers from multiple aspects, such as CS location optimisation and charging pricing strategy. This study proposes multi-parameters-based-dynamic scheduling with energy management for the CSs, considering energy management and EV charging scheduling (EVCS). A fully functional battery management system is designed for energy storage. A multi-parameters optimisation algorithm is proposed by designing the CS selection operator based on alternative set and adjusting parameters. The experiments show that our proposed algorithms got better performance in terms of optimisation effect, the number of iterations, and stability.

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
IET Collaborative Intelligent Manufacturing
IET Collaborative Intelligent Manufacturing Engineering-Industrial and Manufacturing Engineering
CiteScore
9.10
自引率
2.40%
发文量
25
审稿时长
20 weeks
期刊介绍: IET Collaborative Intelligent Manufacturing is a Gold Open Access journal that focuses on the development of efficient and adaptive production and distribution systems. It aims to meet the ever-changing market demands by publishing original research on methodologies and techniques for the application of intelligence, data science, and emerging information and communication technologies in various aspects of manufacturing, such as design, modeling, simulation, planning, and optimization of products, processes, production, and assembly. The journal is indexed in COMPENDEX (Elsevier), Directory of Open Access Journals (DOAJ), Emerging Sources Citation Index (Clarivate Analytics), INSPEC (IET), SCOPUS (Elsevier) and Web of Science (Clarivate Analytics).
期刊最新文献
Domain-adaptation-based named entity recognition with information enrichment for equipment fault knowledge graph Welding defect detection with image processing on a custom small dataset: A comparative study A novel deep reinforcement learning-based algorithm for multi-objective energy-efficient flow-shop scheduling Spiking neural network tactile classification method with faster and more accurate membrane potential representation Digital twin-based production logistics resource optimisation configuration method in smart cloud manufacturing environment
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1