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Article: Capacity Estimation for Vehicle-to-Grid Frequency Regulation Services With Smart Charging Mechanism

TitleCapacity Estimation for Vehicle-to-Grid Frequency Regulation Services With Smart Charging Mechanism
Authors
Issue Date2015
Citation
IEEE Transactions on Smart Grid, 2015, v. 7 n. 1, p. 156-166 How to Cite?
AbstractDue to various green initiatives, renewable energy will be massively incorporated into the future smart grid. However, the intermittency of the renewables may result in power imbalance, thus adversely affecting the stability of a power system. Frequency regulation may be used to maintain the power balance at all times. As electric vehicles (EVs) become popular, they may be connected to the grid to form a vehicle-to-grid (V2G) system. An aggregation of EVs can be coordinated to provide frequency regulation services. However, V2G is a dynamic system where the participating EVs come and go independently. Thus, it is not easy to estimate the regulation capacities for V2G. In a preliminary study, we modeled an aggregation of EVs with a queueing network, whose structure allows us to estimate the capacities for regulation-up and regulation-down separately. The estimated capacities from the V2G system can be used for establishing a regulation contract between an aggregator and the grid operator, and facilitating a new business model for V2G. In this paper, we extend our previous development by designing a smart charging mechanism that can adapt to given characteristics of the EVs and make the performance of the actual system follow the analytical model.
Persistent Identifierhttp://hdl.handle.net/10722/219794
ISSN
2015 Impact Factor: 3.19
2015 SCImago Journal Rankings: 4.784

 

DC FieldValueLanguage
dc.contributor.authorLam, Albert Y S-
dc.contributor.authorLeung, Ka Cheong-
dc.contributor.authorLi, Victor O K-
dc.date.accessioned2015-09-23T02:57:58Z-
dc.date.available2015-09-23T02:57:58Z-
dc.date.issued2015-
dc.identifier.citationIEEE Transactions on Smart Grid, 2015, v. 7 n. 1, p. 156-166-
dc.identifier.issn1949-3053-
dc.identifier.urihttp://hdl.handle.net/10722/219794-
dc.description.abstractDue to various green initiatives, renewable energy will be massively incorporated into the future smart grid. However, the intermittency of the renewables may result in power imbalance, thus adversely affecting the stability of a power system. Frequency regulation may be used to maintain the power balance at all times. As electric vehicles (EVs) become popular, they may be connected to the grid to form a vehicle-to-grid (V2G) system. An aggregation of EVs can be coordinated to provide frequency regulation services. However, V2G is a dynamic system where the participating EVs come and go independently. Thus, it is not easy to estimate the regulation capacities for V2G. In a preliminary study, we modeled an aggregation of EVs with a queueing network, whose structure allows us to estimate the capacities for regulation-up and regulation-down separately. The estimated capacities from the V2G system can be used for establishing a regulation contract between an aggregator and the grid operator, and facilitating a new business model for V2G. In this paper, we extend our previous development by designing a smart charging mechanism that can adapt to given characteristics of the EVs and make the performance of the actual system follow the analytical model.-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Smart Grid-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.titleCapacity Estimation for Vehicle-to-Grid Frequency Regulation Services With Smart Charging Mechanism-
dc.typeArticle-
dc.description.natureLink_to_subscribed_fulltext-
dc.description.naturepostprint-
dc.identifier.doi10.1109/TSG.2015.2436901-
dc.identifier.scopuseid_2-s2.0-84933566335-
dc.identifier.hkuros259719-
dc.identifier.volume7-
dc.identifier.issue1-
dc.identifier.spage156-
dc.identifier.epage166-

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