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Conference Paper: Risk evaluation for power systems based on self-organized criticality

TitleRisk evaluation for power systems based on self-organized criticality
Authors
KeywordsCascading failure
Critical point
Risk evaluation
Self-organized criticality
Issue Date2015
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000581
Citation
The 2015 IEEE Power and Energy Society General Meeting (PESGM 2015), Denver, CO., 26-30 July 2015. In Conference Proceedings, 2015, p. 1-5 How to Cite?
AbstractThe paper proposes a risk evaluation approach for power system based on self-organized criticality, which can give alerts for high probability of cascading failure. First, the model is proposed to simulate the failure sequences for different system states. Second, taking the failure sequences as an input, the judgment criterion for self-organized criticality state is given. Based on the criterion, the risk evaluation approach is designed to determine whether the system state is possible to fall into self-organized criticality state. At last, it is suggested to take precautions when self-organized criticality is detected by the computations off-line. A case study is provided to show the efficiency of the proposed evaluation approach. © 2015 IEEE.
DescriptionMeeting Theme: Powering Up the Next Generation
Persistent Identifierhttp://hdl.handle.net/10722/234966
ISBN

 

DC FieldValueLanguage
dc.contributor.authorPeng, C-
dc.contributor.authorHou, Y-
dc.date.accessioned2016-10-14T13:50:25Z-
dc.date.available2016-10-14T13:50:25Z-
dc.date.issued2015-
dc.identifier.citationThe 2015 IEEE Power and Energy Society General Meeting (PESGM 2015), Denver, CO., 26-30 July 2015. In Conference Proceedings, 2015, p. 1-5-
dc.identifier.isbn978-146738040-9-
dc.identifier.urihttp://hdl.handle.net/10722/234966-
dc.descriptionMeeting Theme: Powering Up the Next Generation-
dc.description.abstractThe paper proposes a risk evaluation approach for power system based on self-organized criticality, which can give alerts for high probability of cascading failure. First, the model is proposed to simulate the failure sequences for different system states. Second, taking the failure sequences as an input, the judgment criterion for self-organized criticality state is given. Based on the criterion, the risk evaluation approach is designed to determine whether the system state is possible to fall into self-organized criticality state. At last, it is suggested to take precautions when self-organized criticality is detected by the computations off-line. A case study is provided to show the efficiency of the proposed evaluation approach. © 2015 IEEE.-
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000581-
dc.relation.ispartofIEEE Power & Energy Society General Meeting-
dc.rightsIEEE Power & Energy 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.subjectCascading failure-
dc.subjectCritical point-
dc.subjectRisk evaluation-
dc.subjectSelf-organized criticality-
dc.titleRisk evaluation for power systems based on self-organized criticality-
dc.typeConference_Paper-
dc.identifier.emailHou, Y: yhhou@hku.hk-
dc.identifier.authorityHou, Y=rp00069-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.doi10.1109/PESGM.2015.7286415-
dc.identifier.scopuseid_2-s2.0-84956868101-
dc.identifier.hkuros268305-
dc.identifier.spage1-
dc.identifier.epage5-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 161019-

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