Dynamic security assessment and load shedding schemes using self organized maps and decision trees

Voumvoulakia, EM; Hatziargyriou, ND

dc.contributor.author	Voumvoulakia, EM	en
dc.contributor.author	Hatziargyriou, ND	en
dc.date.accessioned	2014-03-01T02:44:01Z
dc.date.available	2014-03-01T02:44:01Z
dc.date.issued	2006	en
dc.identifier.issn	0302-9743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31621
dc.subject	Decision Trees	en
dc.subject	Dynamic Security	en
dc.subject	Load shedding	en
dc.subject	Self Organizing Maps	en
dc.subject.classification	Computer Science, Theory & Methods	en
dc.subject.other	Decision theory	en
dc.subject.other	Electric potential	en
dc.subject.other	Electric power systems	en
dc.subject.other	Self organizing maps	en
dc.subject.other	Trees (mathematics)	en
dc.subject.other	Decision Trees	en
dc.subject.other	Dynamic Security	en
dc.subject.other	Load shedding	en
dc.subject.other	Electric loads	en
dc.title	Dynamic security assessment and load shedding schemes using self organized maps and decision trees	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/11752912_41	en
heal.identifier.secondary	http://dx.doi.org/10.1007/11752912_41	en
heal.language	English	en
heal.publicationDate	2006	en
heal.abstract	Modern Power Systems often operate close to their stability limits in order to meet the continuously growing demand, due to the difficulties in expanding the generation and transmission system. An effective way to face power system contingencies that can lead to instability is load shedding. In this paper we propose a method to assess the dynamic performance of the Greek mainland Power System and to propose a load shedding scheme in order to maintain voltage stability under various loading conditions and operating states in the presence of critical contingencies including outages of one or more generating units in the south part of the system. A Self Organizing Map is utilized in order to classify the Load profiles of the Power System. With a decision tree the dynamic performance of each class is assessed. The classification of Load Profiles by the SOM, provide the load shedding scheme. © 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_41	en
dc.identifier.isi	ISI:000238053100039	en
dc.identifier.volume	3955 LNAI	en
dc.identifier.spage	411	en
dc.identifier.epage	420	en