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Article: Optimal control framework and scheme for integrating plug-in hybrid electric vehicles into grid

TitleOptimal control framework and scheme for integrating plug-in hybrid electric vehicles into grid
Authors
KeywordsPlug-in hybrid electric vehicle
Charging infrastructure
Vehicle-to-grid framework
Charging strategy
Power loss minimization
Issue Date2011
PublisherAsian Electric Vehicle Society. The Journal's web site is located at http://www.elec.eng.osaka-cu.ac.jp/aevc/
Citation
Journal of Asian Electric Vehicles, 2011, v. 9 n. 1, p. 1473-1481 How to Cite?
AbstractWith the growing plug-in hybrid electric vehicles (PHEVs) integrated into the power grid, a large number of on-board batteries need to be charged via the infrastructure such as dedicated charging station and the parking lots. In this paper, a control framework is proposed to manage the charging and discharging by using vehicle-to-grid technology. In order to analyze the effect of the PHEV charging to the grid and the corresponding coordinated strategies, this paper describes a simulation model. Initially, the uncontrolled PHEV charging scenarios are performed. The load flow algorithm is applied to calculate the power distribution and power losses on a 33-bus test system. The results indicate the inadequacy of the current power system capacity for the growing electricity demand from PHEVs. Therefore, an optimal control algorithm is derived for PHEV charging and discharging to minimize the total real power loss. Compared to the uncontrolled PHEV charging results, the optimal control algorithm can achieve the maximum loss reduction. Moreover, the voltage drop at each node is limited within a tolerable range while the tightened branch current restrictions are satisfied.
Persistent Identifierhttp://hdl.handle.net/10722/139247
ISSN

 

DC FieldValueLanguage
dc.contributor.authorGao, Sen_US
dc.contributor.authorChau, KTen_US
dc.contributor.authorChan, CCen_US
dc.contributor.authorLiu, Cen_US
dc.contributor.authorWu, Den_US
dc.date.accessioned2011-09-23T05:47:34Z-
dc.date.available2011-09-23T05:47:34Z-
dc.date.issued2011en_US
dc.identifier.citationJournal of Asian Electric Vehicles, 2011, v. 9 n. 1, p. 1473-1481en_US
dc.identifier.issn1348-3927-
dc.identifier.urihttp://hdl.handle.net/10722/139247-
dc.description.abstractWith the growing plug-in hybrid electric vehicles (PHEVs) integrated into the power grid, a large number of on-board batteries need to be charged via the infrastructure such as dedicated charging station and the parking lots. In this paper, a control framework is proposed to manage the charging and discharging by using vehicle-to-grid technology. In order to analyze the effect of the PHEV charging to the grid and the corresponding coordinated strategies, this paper describes a simulation model. Initially, the uncontrolled PHEV charging scenarios are performed. The load flow algorithm is applied to calculate the power distribution and power losses on a 33-bus test system. The results indicate the inadequacy of the current power system capacity for the growing electricity demand from PHEVs. Therefore, an optimal control algorithm is derived for PHEV charging and discharging to minimize the total real power loss. Compared to the uncontrolled PHEV charging results, the optimal control algorithm can achieve the maximum loss reduction. Moreover, the voltage drop at each node is limited within a tolerable range while the tightened branch current restrictions are satisfied.-
dc.languageengen_US
dc.publisherAsian Electric Vehicle Society. The Journal's web site is located at http://www.elec.eng.osaka-cu.ac.jp/aevc/-
dc.relation.ispartofJournal of Asian Electric Vehiclesen_US
dc.subjectPlug-in hybrid electric vehicle-
dc.subjectCharging infrastructure-
dc.subjectVehicle-to-grid framework-
dc.subjectCharging strategy-
dc.subjectPower loss minimization-
dc.titleOptimal control framework and scheme for integrating plug-in hybrid electric vehicles into griden_US
dc.typeArticleen_US
dc.identifier.emailGao, S: sgao@eee.hku.hken_US
dc.identifier.emailChau, KT: ktchau@eee.hku.hken_US
dc.identifier.emailChan, CC: ccchan@eee.hku.hken_US
dc.identifier.emailLiu, C: chhualiu@hku.hk, chualiu@eee.hku.hk-
dc.identifier.emailWu, D: dywu@eee.hku.hk-
dc.identifier.authorityChau, KT=rp00096en_US
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.4130/jaev.9.1473-
dc.identifier.hkuros192684en_US
dc.identifier.volume9en_US
dc.identifier.issue1en_US
dc.identifier.spage1473en_US
dc.identifier.epage1481en_US

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