A fuzzy pattern recognition approach to power system transient stability assessment

Machias, AV

dc.contributor.author	Machias, AV	en
dc.date.accessioned	2014-03-01T01:07:21Z
dc.date.available	2014-03-01T01:07:21Z
dc.date.issued	1989	en
dc.identifier.issn	0378-7796	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/9941
dc.subject	Pattern Recognition	en
dc.subject	Power System Transients	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.other	Mathematical Techniques--Fuzzy Sets	en
dc.subject.other	Pattern Recognition	en
dc.subject.other	System Stability--Evaluation	en
dc.subject.other	Fuzzy Pattern Recognition	en
dc.subject.other	Power System Dynamics Modeling	en
dc.subject.other	Power System Transient Stability Analysis	en
dc.subject.other	Electric Power Systems	en
dc.title	A fuzzy pattern recognition approach to power system transient stability assessment	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/0378-7796(89)90006-0	en
heal.identifier.secondary	http://dx.doi.org/10.1016/0378-7796(89)90006-0	en
heal.language	English	en
heal.publicationDate	1989	en
heal.abstract	The aim of the paper is the fast transient stability assessment of electric power systems by using a fuzzy pattern recognition method. The assessment is performed by assuming several regions of stable and unstable classes for the purpose of classifying the system operating states, in order to avoid errors of classification. This method is suitable for on-line applications and its performance is illustrated by the transient stability analysis of a sample power system. © 1989.	en
heal.publisher	ELSEVIER SCIENCE SA LAUSANNE	en
heal.journalName	Electric Power Systems Research	en
dc.identifier.doi	10.1016/0378-7796(89)90006-0	en
dc.identifier.isi	ISI:A1989T496800006	en
dc.identifier.volume	16	en
dc.identifier.issue	2	en
dc.identifier.spage	141	en
dc.identifier.epage	146	en