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Article: Coordinated Autonomous Vehicle Parking for Vehicle-to-Grid Services: Formulation and Distributed Algorithm

TitleCoordinated Autonomous Vehicle Parking for Vehicle-to-Grid Services: Formulation and Distributed Algorithm
Authors
Issue Date2017
PublisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5165411
Citation
IEEE Transactions on Smart Grid, 2017 How to Cite?
AbstractAutonomous vehicles (AVs) will revolutionarize ground transport and take a substantial role in the future transportation system. Most AVs are likely to be electric vehicles (EVs) and they can participate in the vehicle-to-grid (V2G) system to support various V2G services. Although it is generally infeasible for EVs to dictate their routes, we can design AV travel plans to fulfill certain system-wide objectives. In this paper, we focus on the AVs looking for parking and study how they can be led to appropriate parking facilities to support V2G services. We formulate the Coordinated Parking Problem (CPP), which can be solved by a standard integer linear program solver but requires long computational time. To make it more practical, we develop a distributed algorithm to address CPP based on dual decomposition. We carry out a series of simulations to evaluate the proposed solution methods. Our results show that the distributed algorithm can produce nearly optimal solutions with substantially less computational time. A coarser time scale can improve computational time but degrade the solution quality resulting in possible infeasible solution. Even with communication loss, the distributed algorithm can still perform well and converge with only little degradation in speed.
Persistent Identifierhttp://hdl.handle.net/10722/244965
ISSN
2017 Impact Factor: 7.365
2015 SCImago Journal Rankings: 4.784
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLam, AYS-
dc.contributor.authorYu, JJ-
dc.contributor.authorHou, Y-
dc.contributor.authorLi, VOK-
dc.date.accessioned2017-09-18T02:02:14Z-
dc.date.available2017-09-18T02:02:14Z-
dc.date.issued2017-
dc.identifier.citationIEEE Transactions on Smart Grid, 2017-
dc.identifier.issn1949-3053-
dc.identifier.urihttp://hdl.handle.net/10722/244965-
dc.description.abstractAutonomous vehicles (AVs) will revolutionarize ground transport and take a substantial role in the future transportation system. Most AVs are likely to be electric vehicles (EVs) and they can participate in the vehicle-to-grid (V2G) system to support various V2G services. Although it is generally infeasible for EVs to dictate their routes, we can design AV travel plans to fulfill certain system-wide objectives. In this paper, we focus on the AVs looking for parking and study how they can be led to appropriate parking facilities to support V2G services. We formulate the Coordinated Parking Problem (CPP), which can be solved by a standard integer linear program solver but requires long computational time. To make it more practical, we develop a distributed algorithm to address CPP based on dual decomposition. We carry out a series of simulations to evaluate the proposed solution methods. Our results show that the distributed algorithm can produce nearly optimal solutions with substantially less computational time. A coarser time scale can improve computational time but degrade the solution quality resulting in possible infeasible solution. Even with communication loss, the distributed algorithm can still perform well and converge with only little degradation in speed.-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5165411-
dc.relation.ispartofIEEE Transactions on Smart Grid-
dc.rights©2017 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.titleCoordinated Autonomous Vehicle Parking for Vehicle-to-Grid Services: Formulation and Distributed Algorithm-
dc.typeArticle-
dc.identifier.emailLam, AYS: ayslam@eee.hku.hk-
dc.identifier.emailYu, JJ: jqyu@eee.hku.hk-
dc.identifier.emailHou, Y: yhhou@hku.hk-
dc.identifier.emailLi, VOK: vli@eee.hku.hk-
dc.identifier.authorityLam, AYS=rp02083-
dc.identifier.authorityHou, Y=rp00069-
dc.identifier.authorityLi, VOK=rp00150-
dc.description.naturepostprint-
dc.identifier.doi10.1109/TSG.2017.2655299-
dc.identifier.hkuros277338-
dc.identifier.isiWOS:000443200700039-
dc.publisher.placeUnited States-

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