带电动汽车充电站的配电网络日前充电容量市场

IF 7.2 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Power Systems Pub Date : 2024-09-24 DOI:10.1109/TPWRS.2024.3467166
Ke Li;Chengcheng Shao;Xin Huang;Mohammad Shahidehpour;Xifan Wang
{"title":"带电动汽车充电站的配电网络日前充电容量市场","authors":"Ke Li;Chengcheng Shao;Xin Huang;Mohammad Shahidehpour;Xifan Wang","doi":"10.1109/TPWRS.2024.3467166","DOIUrl":null,"url":null,"abstract":"The rapidly increasing charging load of electric vehicles (EV) calls for large charging capacities, which brings operational and economic challenges to power distribution network (PDN) with limited supply capacities. To tackle such challenges, this work proposes the concept of charging capacity market that enables the day-ahead allocation and trading of charging capacity for EV charging stations (EVCSs). Different from traditional day-ahead power markets, the day-ahead charging capacity market ensures secure grid operations by preventively supplying EVCSs with additional PDN resources that can counter the EV load uncertainty. First, the market clearing model is established as a two-stage robust problem, which offers preventive charging capacity adjustments in the first stage to ensure secure operations of power networks. Second, an improved column and constraint generation algorithm is proposed to solve the proposed robust charging capacity market clearing problem with operation-dependent uncertainty sets, which tackles the potential infeasibility and computational intractability in the traditional market clearing algorithm. Third, the day-ahead capacity pricing is devised within the robust framework. Finally, case studies on modified real-world networks validate the effectiveness of the proposed market, which outperforms the traditional market clearing solutions for enhancing the grid security and economy.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"40 3","pages":"2258-2271"},"PeriodicalIF":7.2000,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Day-Ahead Charging Capacity Market for Power Distribution Network With Electric Vehicle Charging Stations\",\"authors\":\"Ke Li;Chengcheng Shao;Xin Huang;Mohammad Shahidehpour;Xifan Wang\",\"doi\":\"10.1109/TPWRS.2024.3467166\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The rapidly increasing charging load of electric vehicles (EV) calls for large charging capacities, which brings operational and economic challenges to power distribution network (PDN) with limited supply capacities. To tackle such challenges, this work proposes the concept of charging capacity market that enables the day-ahead allocation and trading of charging capacity for EV charging stations (EVCSs). Different from traditional day-ahead power markets, the day-ahead charging capacity market ensures secure grid operations by preventively supplying EVCSs with additional PDN resources that can counter the EV load uncertainty. First, the market clearing model is established as a two-stage robust problem, which offers preventive charging capacity adjustments in the first stage to ensure secure operations of power networks. Second, an improved column and constraint generation algorithm is proposed to solve the proposed robust charging capacity market clearing problem with operation-dependent uncertainty sets, which tackles the potential infeasibility and computational intractability in the traditional market clearing algorithm. Third, the day-ahead capacity pricing is devised within the robust framework. Finally, case studies on modified real-world networks validate the effectiveness of the proposed market, which outperforms the traditional market clearing solutions for enhancing the grid security and economy.\",\"PeriodicalId\":13373,\"journal\":{\"name\":\"IEEE Transactions on Power Systems\",\"volume\":\"40 3\",\"pages\":\"2258-2271\"},\"PeriodicalIF\":7.2000,\"publicationDate\":\"2024-09-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Power Systems\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10690246/\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Power Systems","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10690246/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

摘要

随着电动汽车充电负荷的快速增长,对充电容量的要求越来越高,这给供电能力有限的配电网带来了运营和经济上的挑战。为了应对这些挑战,本文提出了充电容量市场的概念,使电动汽车充电站(evcs)的充电容量能够在日前分配和交易。与传统的日前电力市场不同,日前充电容量市场通过预防性地为电动汽车汽车提供额外的PDN资源,以应对电动汽车负载的不确定性,从而确保电网的安全运行。首先,将市场清算模型建立为两阶段鲁棒性问题,在第一阶段提供预防性的充电容量调整,以保证电网的安全运行;其次,针对具有操作依赖不确定性集的鲁棒充电容量市场出清问题,提出了一种改进的列约束生成算法,解决了传统市场出清算法存在的不可行性和计算困难问题。第三,在稳健框架内设计了日前容量定价。最后,对改进后的现实网络的案例研究验证了所提出的市场的有效性,该市场在提高电网安全性和经济性方面优于传统的市场清算解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Day-Ahead Charging Capacity Market for Power Distribution Network With Electric Vehicle Charging Stations
The rapidly increasing charging load of electric vehicles (EV) calls for large charging capacities, which brings operational and economic challenges to power distribution network (PDN) with limited supply capacities. To tackle such challenges, this work proposes the concept of charging capacity market that enables the day-ahead allocation and trading of charging capacity for EV charging stations (EVCSs). Different from traditional day-ahead power markets, the day-ahead charging capacity market ensures secure grid operations by preventively supplying EVCSs with additional PDN resources that can counter the EV load uncertainty. First, the market clearing model is established as a two-stage robust problem, which offers preventive charging capacity adjustments in the first stage to ensure secure operations of power networks. Second, an improved column and constraint generation algorithm is proposed to solve the proposed robust charging capacity market clearing problem with operation-dependent uncertainty sets, which tackles the potential infeasibility and computational intractability in the traditional market clearing algorithm. Third, the day-ahead capacity pricing is devised within the robust framework. Finally, case studies on modified real-world networks validate the effectiveness of the proposed market, which outperforms the traditional market clearing solutions for enhancing the grid security and economy.
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
IEEE Transactions on Power Systems
IEEE Transactions on Power Systems 工程技术-工程:电子与电气
CiteScore
15.80
自引率
7.60%
发文量
696
审稿时长
3 months
期刊介绍: The scope of IEEE Transactions on Power Systems covers the education, analysis, operation, planning, and economics of electric generation, transmission, and distribution systems for general industrial, commercial, public, and domestic consumption, including the interaction with multi-energy carriers. The focus of this transactions is the power system from a systems viewpoint instead of components of the system. It has five (5) key areas within its scope with several technical topics within each area. These areas are: (1) Power Engineering Education, (2) Power System Analysis, Computing, and Economics, (3) Power System Dynamic Performance, (4) Power System Operations, and (5) Power System Planning and Implementation.
期刊最新文献
Instantaneous Complex Phase and Frequency: Conceptual Clarification and Equivalence between Formulations A Multi-timescale Learn-to-Optimize Method for Unit Commitment with Renewable Power Stochastic Damping Control Strategy for Wind Power Grid-Connected Systems Based on Itô-Moment Optimization Analysis of Frequency and Voltage Strength in Power Electronics-Dominated Power Systems Based on Characteristic Subsystems Cost-Oriented Scenario Reduction for Stochastic Optimization of Power System Operation With High-Penetration Renewable Energy
×
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学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
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