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}
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.
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.