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Conference Paper: Online scheduling for vehicle-to-grid regulation service

TitleOnline scheduling for vehicle-to-grid regulation service
Authors
Issue Date2013
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/servlet/opac?punumber=1800213
Citation
The 4th International Conference on Smart Grid Communications (SmartGridComm 2013), Vancouver, BC., 21-24 October 2013. In Conference Proceedings, 2013, p. 43-48 How to Cite?
AbstractElectric vehicle (EV) fleets can provide ancillary services, such as frequency regulation, to the utility grid, if their charging/discharging schedules are coordinated appropriately. In this paper, a multi-level architecture for bidirectional vehicleto-grid regulation service is proposed. In this architecture, aggregators coordinate the charging/discharging schedules of EVs in order to meet their shares of regulation demand requested by the grid operator. Based on this architecture, the scheduling problem of V2G regulation is then formulated as a convex optimization problem, which in turn degenerates to an online scheduling problem for charging/discharging of EVs. It requires only the current and past regulation profiles, and does not depend on the accurate forecast of regulation demand. A decentralized algorithm, which enables every EV to solve its local optimization problem and obtain its own schedule, is applied to solve the online scheduling problem. Based on the household driving pattern and regulation signal data from the PJM market, a simulation study of 1,000 EVs has been performed. The simulation results show that the proposed online scheduling algorithm is able to smooth out the power fluctuations of the grid by coordinating the EV schedules, demonstrating the potential of V2G in providing regulation service to the grid.
Persistent Identifierhttp://hdl.handle.net/10722/191605
ISBN

 

DC FieldValueLanguage
dc.contributor.authorLin, Jen_US
dc.contributor.authorLeung, KCen_US
dc.contributor.authorLi, VOKen_US
dc.date.accessioned2013-10-15T07:14:36Z-
dc.date.available2013-10-15T07:14:36Z-
dc.date.issued2013en_US
dc.identifier.citationThe 4th International Conference on Smart Grid Communications (SmartGridComm 2013), Vancouver, BC., 21-24 October 2013. In Conference Proceedings, 2013, p. 43-48en_US
dc.identifier.isbn978-1-4799-1526-2-
dc.identifier.urihttp://hdl.handle.net/10722/191605-
dc.description.abstractElectric vehicle (EV) fleets can provide ancillary services, such as frequency regulation, to the utility grid, if their charging/discharging schedules are coordinated appropriately. In this paper, a multi-level architecture for bidirectional vehicleto-grid regulation service is proposed. In this architecture, aggregators coordinate the charging/discharging schedules of EVs in order to meet their shares of regulation demand requested by the grid operator. Based on this architecture, the scheduling problem of V2G regulation is then formulated as a convex optimization problem, which in turn degenerates to an online scheduling problem for charging/discharging of EVs. It requires only the current and past regulation profiles, and does not depend on the accurate forecast of regulation demand. A decentralized algorithm, which enables every EV to solve its local optimization problem and obtain its own schedule, is applied to solve the online scheduling problem. Based on the household driving pattern and regulation signal data from the PJM market, a simulation study of 1,000 EVs has been performed. The simulation results show that the proposed online scheduling algorithm is able to smooth out the power fluctuations of the grid by coordinating the EV schedules, demonstrating the potential of V2G in providing regulation service to the grid.-
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/servlet/opac?punumber=1800213-
dc.relation.ispartofIEEE International Conference on Smart Grid Communications (SmartGridComm) Proceedingsen_US
dc.rightsIEEE International Conference on Smart Grid Communications (SmartGridComm) Proceedings. Copyright © IEEE.-
dc.rights©2013 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleOnline scheduling for vehicle-to-grid regulation serviceen_US
dc.typeConference_Paperen_US
dc.identifier.emailLin, J: jasonlin54321@gmail.comen_US
dc.identifier.emailLeung, KC: kacleung@hkucc.hku.hken_US
dc.identifier.emailLi, VOK: vli@eee.hku.hken_US
dc.identifier.authorityLeung, KC=rp00147en_US
dc.identifier.authorityLi, VOK=rp00150en_US
dc.description.naturepublished_or_final_version-
dc.identifier.scopuseid_2-s2.0-84893556083-
dc.identifier.hkuros225539en_US
dc.identifier.hkuros233570-
dc.identifier.spage43-
dc.identifier.epage48-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 140218-

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