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- Publisher Website: 10.1109/CEC.2013.6557596
- Scopus: eid_2-s2.0-84881579379
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Conference Paper: Optimal V2G scheduling of electric vehicles and unit commitment using chemical reaction optimization
Title | Optimal V2G scheduling of electric vehicles and unit commitment using chemical reaction optimization |
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Authors | |
Keywords | Chemical reaction optimization Electric vehicle Metaheuristic Power system Smart grid Unit commitmen Vehicle-to-grid |
Issue Date | 2013 |
Publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000284 |
Citation | The 2013 IEEE Congress on Evolutionary Computation (CEC), Cancun, Mexico, 20-23 June 2013. In Conference Proceedings, 2013, p. 392-399 How to Cite? |
Abstract | An electric vehicle (EV) may be used as energy storage which allows the bi-directional electricity flow between the vehicle's battery and the electric power grid. In order to flatten the load profile of the electricity system, EV scheduling has become a hot research topic in recent years. In this paper, we propose a new formulation of the joint scheduling of EV and Unit Commitment (UC), called EVUC. Our formulation considers the characteristics of EVs while optimizing the system total running cost. We employ Chemical Reaction Optimization (CRO), a general-purpose optimization algorithm to solve this problem and the simulation results on a widely used set of instances indicate that CRO can effectively optimize this problem. © 2013 IEEE. |
Persistent Identifier | http://hdl.handle.net/10722/191608 |
ISBN |
DC Field | Value | Language |
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dc.contributor.author | Yu, JJQ | en_US |
dc.contributor.author | Li, VOK | en_US |
dc.contributor.author | Lam, AYS | en_US |
dc.date.accessioned | 2013-10-15T07:14:37Z | - |
dc.date.available | 2013-10-15T07:14:37Z | - |
dc.date.issued | 2013 | en_US |
dc.identifier.citation | The 2013 IEEE Congress on Evolutionary Computation (CEC), Cancun, Mexico, 20-23 June 2013. In Conference Proceedings, 2013, p. 392-399 | en_US |
dc.identifier.isbn | 978-1-4799-0454-9 | - |
dc.identifier.uri | http://hdl.handle.net/10722/191608 | - |
dc.description.abstract | An electric vehicle (EV) may be used as energy storage which allows the bi-directional electricity flow between the vehicle's battery and the electric power grid. In order to flatten the load profile of the electricity system, EV scheduling has become a hot research topic in recent years. In this paper, we propose a new formulation of the joint scheduling of EV and Unit Commitment (UC), called EVUC. Our formulation considers the characteristics of EVs while optimizing the system total running cost. We employ Chemical Reaction Optimization (CRO), a general-purpose optimization algorithm to solve this problem and the simulation results on a widely used set of instances indicate that CRO can effectively optimize this problem. © 2013 IEEE. | - |
dc.language | eng | en_US |
dc.publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000284 | - |
dc.relation.ispartof | Congress on Evolutionary Computation Proceedings | en_US |
dc.subject | Chemical reaction optimization | - |
dc.subject | Electric vehicle | - |
dc.subject | Metaheuristic | - |
dc.subject | Power system | - |
dc.subject | Smart grid | - |
dc.subject | Unit commitmen | - |
dc.subject | Vehicle-to-grid | - |
dc.title | Optimal V2G scheduling of electric vehicles and unit commitment using chemical reaction optimization | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Yu, JJQ: jqyu@eee.hku.hk | en_US |
dc.identifier.email | Li, VOK: vli@eee.hku.hk | - |
dc.identifier.email | Lam, AYS: albertlam@ieee.org | - |
dc.identifier.authority | Li, VOK=rp00150 | en_US |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/CEC.2013.6557596 | - |
dc.identifier.scopus | eid_2-s2.0-84881579379 | - |
dc.identifier.hkuros | 225542 | en_US |
dc.identifier.hkuros | 261763 | - |
dc.identifier.spage | 392 | - |
dc.identifier.epage | 399 | - |
dc.publisher.place | United States | - |
dc.customcontrol.immutable | sml 131106 ; sml 160908 merged | - |