Application of a pattern recognition method to the transient stability problem

Machias, AV

dc.contributor.author	Machias, AV	en
dc.date.accessioned	2014-03-01T01:08:15Z
dc.date.available	2014-03-01T01:08:15Z
dc.date.issued	1991	en
dc.identifier.issn	0378-7796	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/10373
dc.subject	Pattern Recognition	en
dc.subject	Transient Stability	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.other	Decision Theory and Analysis	en
dc.subject.other	Electric Machinery, Synchronous - Starting	en
dc.subject.other	Pattern Recognition - Applications	en
dc.subject.other	System Stability - Criteria	en
dc.subject.other	Bayes Decision Rule	en
dc.subject.other	Multimachine Power Systems	en
dc.subject.other	Power System Dynamic	en
dc.subject.other	Transient Stability	en
dc.subject.other	Electric Power Systems	en
dc.title	Application of a pattern recognition method to the transient stability problem	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/0378-7796(91)90040-T	en
heal.identifier.secondary	http://dx.doi.org/10.1016/0378-7796(91)90040-T	en
heal.language	English	en
heal.publicationDate	1991	en
heal.abstract	The aim of this paper is to describe a flexible statistical pattern recognition approach to the transient stability evaluation of electric power systems. This approach is based on statistical decision theory. The classifier that is used implements the Bayes decision rule for classification. A flexible point-estimates method is used to provide accurate values of the statistics that are required in the classification procedures. The method makes its prediction by using the machine's initial rotor acceleration after the occurrence of a large disturbance. The results that can be obtained from the application of the developed method are illustrated by the analysis of a synchronous machine connected to an infinite bus through a power system. The method is able to provide stability evaluations both for large electric power systems and for the industrial ones. © 1991.	en
heal.publisher	ELSEVIER SCIENCE SA LAUSANNE	en
heal.journalName	Electric Power Systems Research	en
dc.identifier.doi	10.1016/0378-7796(91)90040-T	en
dc.identifier.isi	ISI:A1991FY00600001	en
dc.identifier.volume	21	en
dc.identifier.issue	3	en
dc.identifier.spage	155	en
dc.identifier.epage	160	en