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Article: The Control and Analysis of Self-Healing Urban Power Grid

TitleThe Control and Analysis of Self-Healing Urban Power Grid
Authors
KeywordsCorrective control
Emergency control
Multi- agent system
Preventive control
Restorative control
Self-healing control
Urban power grid
Issue Date2012
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, 2012, v. 3 n. 3, p. 1119-1129 How to Cite?
AbstractIn this paper, the concept and system structure of the self-healing urban power grid (UPG) are presented. The proposed method has five operating states and four subcontrols, which are emergency control, restorative control, corrective control and preventive control. The entire self-healing UPG is controlled by the multiagent system (MAS). The agent system has three layers, each of which comprises several agents. This paper discusses the design and function of each agent, as well as the agents' structures and their communication methods. A practical test case based on the urban power grid in Jiangning County in China is employed to demonstrate the ability of the proposed agent-based system to perform self-healing functionality. Research findings indicate that the self-healing control system proposed in this paper can intelligently adjust the operating state to eliminate all the potential threats, and thus achieving the desired operation objectives.
Persistent Identifierhttp://hdl.handle.net/10722/164129
ISSN
2019 Impact Factor: 8.267
2015 SCImago Journal Rankings: 4.784
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLiu, H-
dc.contributor.authorChen, X-
dc.contributor.authorYu, K-
dc.contributor.authorHou, Y-
dc.date.accessioned2012-09-20T07:55:28Z-
dc.date.available2012-09-20T07:55:28Z-
dc.date.issued2012-
dc.identifier.citationIEEE Transactions on Smart Grid, 2012, v. 3 n. 3, p. 1119-1129-
dc.identifier.issn1949-3053-
dc.identifier.urihttp://hdl.handle.net/10722/164129-
dc.description.abstractIn this paper, the concept and system structure of the self-healing urban power grid (UPG) are presented. The proposed method has five operating states and four subcontrols, which are emergency control, restorative control, corrective control and preventive control. The entire self-healing UPG is controlled by the multiagent system (MAS). The agent system has three layers, each of which comprises several agents. This paper discusses the design and function of each agent, as well as the agents' structures and their communication methods. A practical test case based on the urban power grid in Jiangning County in China is employed to demonstrate the ability of the proposed agent-based system to perform self-healing functionality. Research findings indicate that the self-healing control system proposed in this paper can intelligently adjust the operating state to eliminate all the potential threats, and thus achieving the desired operation objectives.-
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.rightsIEEE Transactions on Smart Grid. Copyright © Institute of Electrical and Electronics Engineers.-
dc.subjectCorrective control-
dc.subjectEmergency control-
dc.subjectMulti- agent system-
dc.subjectPreventive control-
dc.subjectRestorative control-
dc.subjectSelf-healing control-
dc.subjectUrban power grid-
dc.titleThe Control and Analysis of Self-Healing Urban Power Grid-
dc.typeArticle-
dc.identifier.emailHou, Y: yhhou@eee.hku.hk-
dc.identifier.authorityHou, Y=rp00069-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TSG.2011.2167525-
dc.identifier.scopuseid_2-s2.0-84865502058-
dc.identifier.hkuros211049-
dc.identifier.volume3-
dc.identifier.issue3-
dc.identifier.spage1119-
dc.identifier.epage1129-
dc.identifier.isiWOS:000325484500006-
dc.publisher.placeUnited States-

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