Transient stability evaluation of electric power systems using a fuzzy perceptron algorithm

Souflis, JL; Machias, AV; Papadias, BC

dc.contributor.author	Souflis, JL	en
dc.contributor.author	Machias, AV	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.issn	02714310	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30263
dc.subject	Electric Power System	en
dc.subject	Feature Selection	en
dc.subject	Fuzzy Membership Function	en
dc.subject	Large Scale	en
dc.subject	Pattern Recognition	en
dc.subject	Power System	en
dc.subject	Set Theory	en
dc.subject	Transient Behavior	en
dc.subject	Transient Stability	en
dc.subject.other	Electric Networks--Transients	en
dc.subject.other	Mathematical Techniques--Vectors	en
dc.subject.other	Pattern Recognition	en
dc.subject.other	System Stability	en
dc.subject.other	Fuzzy Membership Functions	en
dc.subject.other	Pattern Vector Determination	en
dc.subject.other	Perceptron Algorithm	en
dc.subject.other	Power System Transient Stability	en
dc.subject.other	Electric Power Systems	en
dc.title	Transient stability evaluation of electric power systems using a fuzzy perceptron algorithm	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ISCAS.1988.15243	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ISCAS.1988.15243	en
heal.publicationDate	1988	en
heal.abstract	A method which can be used to rapidly evaluate the transient stability condition of an electric power system is described. The stability evaluation is performed by using a pattern recognition approach incorporating fuzzy membership functions into the Perceptron algorithm. The latter algorithm is used to derive a classifier that classifies the system operating states either to the class of stable states or to the class of unstable states. The feature selection is made by using a suitable function F and a set of data representing the transient behavior of a network after the occurrence of specific larged disturbances. The results obtained are illustrated by the analysis of a sample power system.	en
heal.publisher	Publ by IEEE, Piscataway, NJ, United States	en
heal.journalName	Proceedings - IEEE International Symposium on Circuits and Systems	en
dc.identifier.doi	10.1109/ISCAS.1988.15243	en
dc.identifier.volume	2	en
dc.identifier.spage	1619	en
dc.identifier.epage	1622	en