{"title":"基于队列的电动汽车充电优化模型","authors":"Giuseppe C. Calafiore, Luca Ambrosino","doi":"10.1016/j.ifacol.2025.08.130","DOIUrl":null,"url":null,"abstract":"<div><div>In this paper we propose a novel cohort-based dynamical model for describing the dynamics of charge of electric vehicles (EVs) entering a large EV parking/charge facility. Based on such model, we address the problem of optimally managing the charging and thus allocate power among the EVs so to minimize costs while maintaining customer satisfaction and fulfilling operational constraints. The problem is formulated as a Linear Program (LP), to be solved over a given period of time, on the basis of parameters estimated at the beginning of such period. Our approach is validated through simulations inspired by real electricity price data, demonstrating the potential for relevant cost saving compared to a First-In-First-Served (FIFS) strategy.</div></div>","PeriodicalId":37894,"journal":{"name":"IFAC-PapersOnLine","volume":"59 9","pages":"Pages 163-168"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Cohort-Based Optimization Model for Electric Vehicles Charging\",\"authors\":\"Giuseppe C. Calafiore, Luca Ambrosino\",\"doi\":\"10.1016/j.ifacol.2025.08.130\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In this paper we propose a novel cohort-based dynamical model for describing the dynamics of charge of electric vehicles (EVs) entering a large EV parking/charge facility. Based on such model, we address the problem of optimally managing the charging and thus allocate power among the EVs so to minimize costs while maintaining customer satisfaction and fulfilling operational constraints. The problem is formulated as a Linear Program (LP), to be solved over a given period of time, on the basis of parameters estimated at the beginning of such period. Our approach is validated through simulations inspired by real electricity price data, demonstrating the potential for relevant cost saving compared to a First-In-First-Served (FIFS) strategy.</div></div>\",\"PeriodicalId\":37894,\"journal\":{\"name\":\"IFAC-PapersOnLine\",\"volume\":\"59 9\",\"pages\":\"Pages 163-168\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IFAC-PapersOnLine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2405896325007207\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IFAC-PapersOnLine","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2405896325007207","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
A Cohort-Based Optimization Model for Electric Vehicles Charging
In this paper we propose a novel cohort-based dynamical model for describing the dynamics of charge of electric vehicles (EVs) entering a large EV parking/charge facility. Based on such model, we address the problem of optimally managing the charging and thus allocate power among the EVs so to minimize costs while maintaining customer satisfaction and fulfilling operational constraints. The problem is formulated as a Linear Program (LP), to be solved over a given period of time, on the basis of parameters estimated at the beginning of such period. Our approach is validated through simulations inspired by real electricity price data, demonstrating the potential for relevant cost saving compared to a First-In-First-Served (FIFS) strategy.
期刊介绍:
All papers from IFAC meetings are published, in partnership with Elsevier, the IFAC Publisher, in theIFAC-PapersOnLine proceedings series hosted at the ScienceDirect web service. This series includes papers previously published in the IFAC website.The main features of the IFAC-PapersOnLine series are: -Online archive including papers from IFAC Symposia, Congresses, Conferences, and most Workshops. -All papers accepted at the meeting are published in PDF format - searchable and citable. -All papers published on the web site can be cited using the IFAC PapersOnLine ISSN and the individual paper DOI (Digital Object Identifier). The site is Open Access in nature - no charge is made to individuals for reading or downloading. Copyright of all papers belongs to IFAC and must be referenced if derivative journal papers are produced from the conference papers. All papers published in IFAC-PapersOnLine have undergone a peer review selection process according to the IFAC rules.