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Conference Paper: Electric vehicle charging station placement

TitleElectric vehicle charging station placement
Authors
Issue Date2013
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1800213
Citation
The 2013 IEEE International Conference on Smart Grid Communications (SmartGridComm 2013), Vancouver, BC., Canada, 21-24 October 2013. In Conference Proceedings, 2013, p. 510-515 How to Cite?
AbstractTransportation electrification is one of the essential components in the future smart city planning and electric vehicles (EVs) will be integrated into the transportation system seamlessly. Charging stations are the main source of energy for EVs and their locations are critical to the accessibility of EVs in a city. They should be carefully situated so that an EV can access a charging station within its driving range and cruise around anywhere in the city upon being recharged. In this paper, we formulate the Electric Vehicle Charging Station Placement Problem, in which we minimize the total construction cost subject to the constraints for the charging station coverage and the convenience of the drivers for EV charging. We study the properties of the problem, especially its NP-hardness, and propose an efficient greedy algorithm to tackle the problem. We perform a series of simulation whose results show that the greedy algorithm can result in solutions comparable to the mixed-integer programming approach and its computation time is much shorter. © 2013 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/219739
ISBN

 

DC FieldValueLanguage
dc.contributor.authorLam, AYS-
dc.contributor.authorLeung, YW-
dc.contributor.authorChu, X-
dc.date.accessioned2015-09-23T02:57:51Z-
dc.date.available2015-09-23T02:57:51Z-
dc.date.issued2013-
dc.identifier.citationThe 2013 IEEE International Conference on Smart Grid Communications (SmartGridComm 2013), Vancouver, BC., Canada, 21-24 October 2013. In Conference Proceedings, 2013, p. 510-515-
dc.identifier.isbn978-1-4799-1526-2-
dc.identifier.urihttp://hdl.handle.net/10722/219739-
dc.description.abstractTransportation electrification is one of the essential components in the future smart city planning and electric vehicles (EVs) will be integrated into the transportation system seamlessly. Charging stations are the main source of energy for EVs and their locations are critical to the accessibility of EVs in a city. They should be carefully situated so that an EV can access a charging station within its driving range and cruise around anywhere in the city upon being recharged. In this paper, we formulate the Electric Vehicle Charging Station Placement Problem, in which we minimize the total construction cost subject to the constraints for the charging station coverage and the convenience of the drivers for EV charging. We study the properties of the problem, especially its NP-hardness, and propose an efficient greedy algorithm to tackle the problem. We perform a series of simulation whose results show that the greedy algorithm can result in solutions comparable to the mixed-integer programming approach and its computation time is much shorter. © 2013 IEEE.-
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1800213-
dc.relation.ispartofIEEE International Conference on Smart Grid Communications (SmartGridComm)-
dc.rightsIEEE International Conference on Smart Grid Communications (SmartGridComm). Copyright © IEEE.-
dc.rights©2013 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.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleElectric vehicle charging station placement-
dc.typeConference_Paper-
dc.identifier.emailLam, AYS: ayslam@eee.hku.hk-
dc.identifier.authorityLam, AYS=rp02083-
dc.description.natureLink_to_subscribed_fulltext-
dc.description.naturepostprint-
dc.identifier.doi10.1109/SmartGridComm.2013.6688009-
dc.identifier.scopuseid_2-s2.0-84893629162-
dc.identifier.hkuros261762-
dc.identifier.spage510-
dc.identifier.epage515-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 160908 - merged-

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