File Download
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1109/PESGM.2015.7286286
- Scopus: eid_2-s2.0-84956862031
- Find via
Supplementary
-
Citations:
- Scopus: 0
- Appears in Collections:
Conference Paper: System level charging control strategy for plug-in electric vehicles
Title | System level charging control strategy for plug-in electric vehicles |
---|---|
Authors | |
Keywords | Electric vehicle Optimal charging control Load management EV demand estimation |
Issue Date | 2015 |
Publisher | IEEE. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000581 |
Citation | The 2015 IEEE Power & Energy Society General Meeting, Denver, CO., 26-30 July 2015. In IEEE Power Engineering Society General Meeting, 2015, p. 1-5 How to Cite? |
Abstract | Charging control strategies can significantly alleviate the impact of electric vehicles (EVs) to power systems, as well as utilize the flexibility of EV charging to achieve extra benefits. This paper proposes an EV charging control strategy to achieve valley-filling using EV charging load. The strategy consists of system-level control and supporting control for the charging of individual EVs. The system-level control generates the basic charging command on total charging power, and the supporting control criteria manage the charging of individual EVs considering their arriving and departure dynamics. This paper shows that the charging control of EVs can be extremely simple to achieve similar performance comparing to existing methods, by utilizing the features of EV activities and power systems. The computational burden of the proposed strategy is incredibly low, and it is more feasible for practical application because of the simplicity and the lower implementation cost. Simulation results are demonstrated to support the feasibility and effectiveness of the proposed strategy. |
Description | Open Access |
Persistent Identifier | http://hdl.handle.net/10722/216365 |
ISBN | |
ISSN |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tang, Y | - |
dc.contributor.author | Zhong, J | - |
dc.date.accessioned | 2015-09-18T05:25:13Z | - |
dc.date.available | 2015-09-18T05:25:13Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | The 2015 IEEE Power & Energy Society General Meeting, Denver, CO., 26-30 July 2015. In IEEE Power Engineering Society General Meeting, 2015, p. 1-5 | - |
dc.identifier.isbn | 978-1-4673-8040-9 | - |
dc.identifier.issn | 1932-5517 | - |
dc.identifier.uri | http://hdl.handle.net/10722/216365 | - |
dc.description | Open Access | - |
dc.description.abstract | Charging control strategies can significantly alleviate the impact of electric vehicles (EVs) to power systems, as well as utilize the flexibility of EV charging to achieve extra benefits. This paper proposes an EV charging control strategy to achieve valley-filling using EV charging load. The strategy consists of system-level control and supporting control for the charging of individual EVs. The system-level control generates the basic charging command on total charging power, and the supporting control criteria manage the charging of individual EVs considering their arriving and departure dynamics. This paper shows that the charging control of EVs can be extremely simple to achieve similar performance comparing to existing methods, by utilizing the features of EV activities and power systems. The computational burden of the proposed strategy is incredibly low, and it is more feasible for practical application because of the simplicity and the lower implementation cost. Simulation results are demonstrated to support the feasibility and effectiveness of the proposed strategy. | - |
dc.language | eng | - |
dc.publisher | IEEE. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000581 | - |
dc.relation.ispartof | IEEE Power Engineering Society General Meeting | - |
dc.rights | IEEE Power Engineering Society General Meeting. Copyright © IEEE. | - |
dc.rights | ©2015 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.subject | Electric vehicle | - |
dc.subject | Optimal charging control | - |
dc.subject | Load management | - |
dc.subject | EV demand estimation | - |
dc.title | System level charging control strategy for plug-in electric vehicles | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Zhong, J: jinzhong@hkucc.hku.hk | - |
dc.identifier.authority | Zhong, J=rp00212 | - |
dc.description.nature | link_to_OA_fulltext | - |
dc.identifier.doi | 10.1109/PESGM.2015.7286286 | - |
dc.identifier.scopus | eid_2-s2.0-84956862031 | - |
dc.identifier.hkuros | 250724 | - |
dc.identifier.spage | 1 | - |
dc.identifier.epage | 5 | - |
dc.publisher.place | United States | - |
dc.customcontrol.immutable | sml 151105 | - |
dc.identifier.issnl | 1932-5517 | - |