Fuzzy clustering applied to transient stability evaluation of electric power systems

Machias, AV; Souflis, JL; Papadias, BC

dc.contributor.author	Machias, AV	en
dc.contributor.author	Souflis, JL	en
dc.contributor.author	Papadias, BC	en
dc.date.accessioned	2014-03-01T02:40:53Z
dc.date.available	2014-03-01T02:40:53Z
dc.date.issued	1988	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30259
dc.subject	Cluster Algorithm	en
dc.subject	Electric Power System	en
dc.subject	Fuzzy Clustering	en
dc.subject	Fuzzy Set	en
dc.subject	Pattern Recognition	en
dc.subject	Transient Stability	en
dc.subject.other	Mathematical Techniques--Fuzzy Sets	en
dc.subject.other	Pattern Recognition	en
dc.subject.other	System Stability--Transients	en
dc.subject.other	Fuzzy Clustering	en
dc.subject.other	Fuzzy Pattern Recognition	en
dc.subject.other	Transient Stability Evaluation	en
dc.subject.other	Electric Power Systems	en
dc.title	Fuzzy clustering applied to transient stability evaluation of electric power systems	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICSMC.1988.754241	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICSMC.1988.754241	en
heal.publicationDate	1988	en
heal.abstract	The authors present a method which can be used to evaluate rapidly the transient stability of an electric power system. The stability evaluation is performed by using a fuzzy pattern recognition approach, incorporating fuzzy membership values for the system operating states. These values classify the operating states into the defined fuzzy sets representing the class of either the stable or the unstable states. The membership evaluation is performed by considering the lack of a known mathematical expression for the membership values and by using the fuzzy ISODATA clustering algorithm. The developed computational method is applied to evaluate the transient stability of a sample electric power system. The results obtained showed that the proposed method can define a stability index which is promising for online transient security assessments.	en
heal.journalName	[No source information available]	en
dc.identifier.doi	10.1109/ICSMC.1988.754241	en
dc.identifier.spage	63	en
dc.identifier.epage	65	en