Probabilistic approach to control variable adjustment for power system planning applications

Hatziargyriou, ND; Karakatsanis, TS

dc.contributor.author	Hatziargyriou, ND	en
dc.contributor.author	Karakatsanis, TS	en
dc.date.accessioned	2014-03-01T02:48:16Z
dc.date.available	2014-03-01T02:48:16Z
dc.date.issued	1994	en
dc.identifier.issn	05379989	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/33689
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0027928098&partnerID=40&md5=fe98e56175e97685eb96427cb583a782	en
dc.subject.other	Electric power systems	en
dc.subject.other	Planning	en
dc.subject.other	Probability	en
dc.subject.other	Sensitivity analysis	en
dc.subject.other	Stability	en
dc.subject.other	Constrained load flow	en
dc.subject.other	Probabilistic load flow	en
dc.subject.other	Control systems	en
dc.title	Probabilistic approach to control variable adjustment for power system planning applications	en
heal.type	conferenceItem	en
heal.publicationDate	1994	en
heal.abstract	This paper applies probabilistic load flow techniques to network constrained setting of control variables based on sensitivity analysis. The method determines operating constraint violations for a whole planning period together with the probability of each violation and leads to the satisfaction of these constraints with a minimum number of control corrective actions in a desired order. The paper investigates the effects of high dispersion in the input variables in order to assess the effectiveness of the method for long-term planning applications.	en
heal.publisher	Publ by IEE, Stevenage, United Kingdom	en
heal.journalName	IEE Conference Publication	en
dc.identifier.volume	1	en
dc.identifier.issue	389	en
dc.identifier.spage	733	en
dc.identifier.epage	738	en