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Conference Paper: Bi-level control scheme for vehicle-to-grid regulation service
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TitleBi-level control scheme for vehicle-to-grid regulation service
 
AuthorsGao, S1
Chan, CC1
Chau, KT1
Wu, D
 
KeywordsElectric vehicles
Frequency regulation
Operating cost minimization
Renewable generation
V2G
 
Issue Date2012
 
PublisherThe Electric Drive Transportation Association
 
CitationThe 26th Electric Vehicle Symposium (EVS26), Los Angeles, CA., 6-9 May 2012. In EVS26 Proceedings, 2012, v. 2, p. 1315-1321, paper no. 1520092 [How to Cite?]
 
AbstractThis paper presents a control scheme of vehicle-to-grid (V2G) operation for the distribution power grid which integrates renewable generation units. An optimal control algorithm is developed to minimize the total operating cost. The potential for providing frequency regulation when the vehicles are idle is also analyzed. The power output of plug-in hybrid electric vehicles (PHEVs) is regulated to redistribute the PHEV charging energy and meanwhile provide the grid services. The regulation of PHEV charging load can consume the excessive power from wind generation units during the off-peak time. And with the frequency regulation, the power fluctuation of wind generator can be compensated and therefore stabilize the voltage and frequency. Finally, simulation results verify that the optimal control of V2G power can reduce total operating cost and enhance the voltage stability. Furthermore, the regulation capacity of V2G used for frequency regulation can improve the power quality and facilitate the integration of wind power generators.
 
DescriptionDialogue with the Experts: Poster Session 2 - Energy Storage for EV Charging
 
ISBN978-162276421-1
 
DC FieldValue
dc.contributor.authorGao, S
 
dc.contributor.authorChan, CC
 
dc.contributor.authorChau, KT
 
dc.contributor.authorWu, D
 
dc.date.accessioned2012-09-20T08:16:29Z
 
dc.date.available2012-09-20T08:16:29Z
 
dc.date.issued2012
 
dc.description.abstractThis paper presents a control scheme of vehicle-to-grid (V2G) operation for the distribution power grid which integrates renewable generation units. An optimal control algorithm is developed to minimize the total operating cost. The potential for providing frequency regulation when the vehicles are idle is also analyzed. The power output of plug-in hybrid electric vehicles (PHEVs) is regulated to redistribute the PHEV charging energy and meanwhile provide the grid services. The regulation of PHEV charging load can consume the excessive power from wind generation units during the off-peak time. And with the frequency regulation, the power fluctuation of wind generator can be compensated and therefore stabilize the voltage and frequency. Finally, simulation results verify that the optimal control of V2G power can reduce total operating cost and enhance the voltage stability. Furthermore, the regulation capacity of V2G used for frequency regulation can improve the power quality and facilitate the integration of wind power generators.
 
dc.descriptionDialogue with the Experts: Poster Session 2 - Energy Storage for EV Charging
 
dc.identifier.citationThe 26th Electric Vehicle Symposium (EVS26), Los Angeles, CA., 6-9 May 2012. In EVS26 Proceedings, 2012, v. 2, p. 1315-1321, paper no. 1520092 [How to Cite?]
 
dc.identifier.epage1321
 
dc.identifier.hkuros208230
 
dc.identifier.isbn978-162276421-1
 
dc.identifier.scopuseid_2-s2.0-84877623849
 
dc.identifier.spage1315
 
dc.identifier.urihttp://hdl.handle.net/10722/165240
 
dc.identifier.volume2
 
dc.languageeng
 
dc.publisherThe Electric Drive Transportation Association
 
dc.relation.ispartof26th Electric Vehicle Symposium 2012 Proceedings
 
dc.subjectElectric vehicles
 
dc.subjectFrequency regulation
 
dc.subjectOperating cost minimization
 
dc.subjectRenewable generation
 
dc.subjectV2G
 
dc.titleBi-level control scheme for vehicle-to-grid regulation service
 
dc.typeConference_Paper
 
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<item><contributor.author>Gao, S</contributor.author>
<contributor.author>Chan, CC</contributor.author>
<contributor.author>Chau, KT</contributor.author>
<contributor.author>Wu, D</contributor.author>
<date.accessioned>2012-09-20T08:16:29Z</date.accessioned>
<date.available>2012-09-20T08:16:29Z</date.available>
<date.issued>2012</date.issued>
<identifier.citation>The 26th Electric Vehicle Symposium (EVS26), Los Angeles, CA., 6-9 May 2012. In EVS26 Proceedings, 2012, v. 2, p. 1315-1321, paper no. 1520092</identifier.citation>
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<identifier.uri>http://hdl.handle.net/10722/165240</identifier.uri>
<description>Dialogue with the Experts: Poster Session 2 - Energy Storage for EV Charging</description>
<description.abstract>This paper presents a control scheme of vehicle-to-grid (V2G) operation for the distribution power grid which integrates renewable generation units. An optimal control algorithm is developed to minimize the total operating cost. The potential for providing frequency regulation when the vehicles are idle is also analyzed. The power output of plug-in hybrid electric vehicles (PHEVs) is regulated to redistribute the PHEV charging energy and meanwhile provide the grid services. The regulation of PHEV charging load can consume the excessive power from wind generation units during the off-peak time. And with the frequency regulation, the power fluctuation of wind generator can be compensated and therefore stabilize the voltage and frequency. Finally, simulation results verify that the optimal control of V2G power can reduce total operating cost and enhance the voltage stability. Furthermore, the regulation capacity of V2G used for frequency regulation can improve the power quality and facilitate the integration of wind power generators.</description.abstract>
<language>eng</language>
<publisher>The Electric Drive Transportation Association</publisher>
<relation.ispartof>26th Electric Vehicle Symposium 2012 Proceedings</relation.ispartof>
<subject>Electric vehicles</subject>
<subject>Frequency regulation</subject>
<subject>Operating cost minimization</subject>
<subject>Renewable generation</subject>
<subject>V2G</subject>
<title>Bi-level control scheme for vehicle-to-grid regulation service</title>
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Author Affiliations
  1. The University of Hong Kong