Article: Efficient point estimate method for probabilistic small signal stability analysis

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TitleEfficient point estimate method for probabilistic small signal stability analysis
AuthorsYi, H2
Cheng, S2
Hou, Y3
Ni, Y1
KeywordsPower system
Probability analysis
Small disturbance stability
Two-point estimate
Issue Date2007
CitationDianli Xitong Zidonghua/Automation Of Electric Power Systems, 2007, v. 31 n. 23, p. 1-4+29 [How to Cite?]
AbstractIn this paper the two-point estimate (TPE) based method is proposed for probabilistic small signal stability (PSSS) analysis of power systems considering the uncertainties in system parameters, load and operating conditions, et al. In this method, the TPE method is outlined together with the calculation procedure, and the stability indices and the judgment of unstable types for power system PSSS are calculated. Compared with the widely-used Monte Carlo simulation method, the TPE based approach can estimate the statistical characteristics of random variables with less calculation cost while keeping enough precision. Simulation results of a 2-area power system show the effectiveness of the proposed algorithm. The proposed methodology can be extended to other applications in power system with uncertainties.
ISSN1000-1026
2011 SCImago Journal Rankings: 0.046
ReferencesReferences in Scopus
DC Field
Value
dc.contributor.authorYi, H
dc.contributor.authorCheng, S
dc.contributor.authorHou, Y
dc.contributor.authorNi, Y
dc.date.accessioned2012-08-08T08:33:26Z
dc.date.available2012-08-08T08:33:26Z
dc.date.issued2007
dc.description.abstractIn this paper the two-point estimate (TPE) based method is proposed for probabilistic small signal stability (PSSS) analysis of power systems considering the uncertainties in system parameters, load and operating conditions, et al. In this method, the TPE method is outlined together with the calculation procedure, and the stability indices and the judgment of unstable types for power system PSSS are calculated. Compared with the widely-used Monte Carlo simulation method, the TPE based approach can estimate the statistical characteristics of random variables with less calculation cost while keeping enough precision. Simulation results of a 2-area power system show the effectiveness of the proposed algorithm. The proposed methodology can be extended to other applications in power system with uncertainties.
dc.description.natureLink_to_subscribed_fulltext
dc.identifier.citationDianli Xitong Zidonghua/Automation Of Electric Power Systems, 2007, v. 31 n. 23, p. 1-4+29 [How to Cite?]
dc.identifier.epage4+29
dc.identifier.issn1000-1026
2011 SCImago Journal Rankings: 0.046
dc.identifier.issue23
dc.identifier.scopuseid_2-s2.0-37749042952
dc.identifier.spage1
dc.identifier.urihttp://hdl.handle.net/10722/155426
dc.identifier.volume31
dc.languageeng
dc.publisher.placeChina
dc.relation.ispartofDianli Xitong Zidonghua/Automation of Electric Power Systems
dc.relation.referencesReferences in Scopus
dc.subjectPower system
dc.subjectProbability analysis
dc.subjectSmall disturbance stability
dc.subjectTwo-point estimate
dc.titleEfficient point estimate method for probabilistic small signal stability analysis
dc.typeArticle
Author Affiliations
  1. The University of Hong Kong
  2. Huazhong University of Science and Technology
  3. Tsinghua University