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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
2012 SCImago Journal Rankings: 0.826
 
ReferencesReferences in Scopus
 
DC FieldValue
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
2012 SCImago Journal Rankings: 0.826
 
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
 
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<contributor.author>Cheng, S</contributor.author>
<contributor.author>Hou, Y</contributor.author>
<contributor.author>Ni, Y</contributor.author>
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<description.abstract>In 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.</description.abstract>
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<subject>Power system</subject>
<subject>Probability analysis</subject>
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Author Affiliations
  1. The University of Hong Kong
  2. Huazhong University of Science and Technology
  3. Tsinghua University