File Download
 
Links for fulltext
(May Require Subscription)
 
Supplementary

Conference Paper: Cost-emission analysis of vehicle-to-grid system
  • Basic View
  • Metadata View
  • XML View
TitleCost-emission analysis of vehicle-to-grid system
 
AuthorsWu, D1
Chau, KT1
Gao, S1
 
KeywordsElectric vehicle
Cost-emission optimization
Vehicle-to-grid
Smart grid
 
Issue Date2011
 
PublisherEuropean Association for Battery, Hybrid and Fuel Cell Electric Vehicles (AVERE). The Journal's web site is located at http://www.evs24.org/wevajournal/index.html
 
CitationThe 25th International Electric Vehicle Symposium (EVS-25), Shenzhen, China, 5-9 November 2010. In World Electric Vehicle Journal, 2011, v. 4, p. 767-773 [How to Cite?]
 
AbstractIn recent years, electric vehicles (EVs) have been widely accepted by general publics due to their low emissions. Particularly, those EVs which are able to be connected to power grid have earned lots of attention. In this paper, a multilayer framework is newly proposed for vehicle-to-grid operation and cost-emission analysis is carried out based on this framework. Hence, operation cost and emissions can be reduced by using these gridable EVs. The key is to introduce particle swarm optimization to find out the optimal scheduling of generating units and gridable EVs. © 2010 WEVA.
 
ISSN2032-6653
 
DC FieldValue
dc.contributor.authorWu, D
 
dc.contributor.authorChau, KT
 
dc.contributor.authorGao, S
 
dc.date.accessioned2011-09-23T06:08:57Z
 
dc.date.available2011-09-23T06:08:57Z
 
dc.date.issued2011
 
dc.description.abstractIn recent years, electric vehicles (EVs) have been widely accepted by general publics due to their low emissions. Particularly, those EVs which are able to be connected to power grid have earned lots of attention. In this paper, a multilayer framework is newly proposed for vehicle-to-grid operation and cost-emission analysis is carried out based on this framework. Hence, operation cost and emissions can be reduced by using these gridable EVs. The key is to introduce particle swarm optimization to find out the optimal scheduling of generating units and gridable EVs. © 2010 WEVA.
 
dc.description.otherThe 25th International Electric Vehicle Symposium (EVS-25), Shenzhen, China, 5-9 November 2010. In World Electric Vehicle Journal, 2011, v. 4, p. 767-773
 
dc.description.uriThe article can be viewed at http://www.evs24.org/wevajournal/php/download.php?f=vol4/WEVA4-4108.pdf
 
dc.identifier.citationThe 25th International Electric Vehicle Symposium (EVS-25), Shenzhen, China, 5-9 November 2010. In World Electric Vehicle Journal, 2011, v. 4, p. 767-773 [How to Cite?]
 
dc.identifier.epage773
 
dc.identifier.hkuros192823
 
dc.identifier.hkuros222045
 
dc.identifier.issn2032-6653
 
dc.identifier.scopuseid_2-s2.0-84867951688
 
dc.identifier.spage767
 
dc.identifier.urihttp://hdl.handle.net/10722/140217
 
dc.identifier.volume4
 
dc.languageeng
 
dc.publisherEuropean Association for Battery, Hybrid and Fuel Cell Electric Vehicles (AVERE). The Journal's web site is located at http://www.evs24.org/wevajournal/index.html
 
dc.publisher.placeBelgium
 
dc.relation.ispartofWorld Electric Vehicle Journal
 
dc.subjectElectric vehicle
 
dc.subjectCost-emission optimization
 
dc.subjectVehicle-to-grid
 
dc.subjectSmart grid
 
dc.titleCost-emission analysis of vehicle-to-grid system
 
dc.typeConference_Paper
 
<?xml encoding="utf-8" version="1.0"?>
<item><contributor.author>Wu, D</contributor.author>
<contributor.author>Chau, KT</contributor.author>
<contributor.author>Gao, S</contributor.author>
<date.accessioned>2011-09-23T06:08:57Z</date.accessioned>
<date.available>2011-09-23T06:08:57Z</date.available>
<date.issued>2011</date.issued>
<identifier.citation>The 25th International Electric Vehicle Symposium (EVS-25), Shenzhen, China, 5-9 November 2010. In World Electric Vehicle Journal, 2011, v. 4, p. 767-773</identifier.citation>
<identifier.issn>2032-6653</identifier.issn>
<identifier.uri>http://hdl.handle.net/10722/140217</identifier.uri>
<description.abstract>In recent years, electric vehicles (EVs) have been widely accepted by general publics due to their low emissions. Particularly, those EVs which are able to be connected to power grid have earned lots of attention. In this paper, a multilayer framework is newly proposed for vehicle-to-grid operation and cost-emission analysis is carried out based on this framework. Hence, operation cost and emissions can be reduced by using these gridable EVs. The key is to introduce particle swarm optimization to find out the optimal scheduling of generating units and gridable EVs. &#169; 2010 WEVA.</description.abstract>
<description.uri>The article can be viewed at http://www.evs24.org/wevajournal/php/download.php?f=vol4/WEVA4-4108.pdf</description.uri>
<language>eng</language>
<publisher>European Association for Battery, Hybrid and Fuel Cell Electric Vehicles (AVERE). The Journal&apos;s web site is located at http://www.evs24.org/wevajournal/index.html</publisher>
<relation.ispartof>World Electric Vehicle Journal</relation.ispartof>
<subject>Electric vehicle</subject>
<subject>Cost-emission optimization</subject>
<subject>Vehicle-to-grid</subject>
<subject>Smart grid</subject>
<title>Cost-emission analysis of vehicle-to-grid system</title>
<type>Conference_Paper</type>
<identifier.scopus>eid_2-s2.0-84867951688</identifier.scopus>
<identifier.hkuros>192823</identifier.hkuros>
<identifier.hkuros>222045</identifier.hkuros>
<identifier.volume>4</identifier.volume>
<identifier.spage>767</identifier.spage>
<identifier.epage>773</identifier.epage>
<publisher.place>Belgium</publisher.place>
<description.other>The 25th International Electric Vehicle Symposium (EVS-25), Shenzhen, China, 5-9 November 2010. In World Electric Vehicle Journal, 2011, v. 4, p. 767-773</description.other>
</item>
Author Affiliations
  1. The University of Hong Kong