Investigation of Decision Trees (DTs) parameters for power system voltage stability enhancement

Leonidaki, EA; Hatziargyriou, ND

dc.contributor.author	Leonidaki, EA	en
dc.contributor.author	Hatziargyriou, ND	en
dc.date.accessioned	2014-03-01T02:44:05Z
dc.date.available	2014-03-01T02:44:05Z
dc.date.issued	2006	en
dc.identifier.issn	0302-9743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31663
dc.subject	Interconnected System	en
dc.subject	Power System	en
dc.subject	System Configuration	en
dc.subject	Voltage Stability	en
dc.subject	Decision Tree	en
dc.subject.classification	Computer Science, Theory & Methods	en
dc.subject.other	Electric potential	en
dc.subject.other	Electric power systems	en
dc.subject.other	Optimal control systems	en
dc.subject.other	Parameter estimation	en
dc.subject.other	Trees (mathematics)	en
dc.subject.other	Contingencies	en
dc.subject.other	Decision Tress (DT)	en
dc.subject.other	Hellenic interconnected systems	en
dc.subject.other	System configurations	en
dc.subject.other	Decision theory	en
dc.title	Investigation of Decision Trees (DTs) parameters for power system voltage stability enhancement	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/11752912_20	en
heal.identifier.secondary	http://dx.doi.org/10.1007/11752912_20	en
heal.language	English	en
heal.publicationDate	2006	en
heal.abstract	This paper describes the application of Decision Tress (DTs) in order to specify the most critical location and the rate of series compensation in order to increase power system loading margin. The proposed methodology is applied to a projected model of the Hellenic interconnected system in several system configurations. Investigation of the best system operating point to create the DTs, the effect of attributes number and type on the DTs size and quality are discussed in order to reach the final DTs parameters that lead to the construction of the best DTs for the determination of optimal series compensation location and rate. Finally, the results obtained for several (N-1) contingencies examined are presented. © Springer-Verlag Berlin Heidelberg 2006.	en
heal.publisher	SPRINGER-VERLAG BERLIN	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
heal.bookName	LECTURE NOTES IN COMPUTER SCIENCE	en
dc.identifier.doi	10.1007/11752912_20	en
dc.identifier.isi	ISI:000238053100018	en
dc.identifier.volume	3955 LNAI	en
dc.identifier.spage	181	en
dc.identifier.epage	191	en