Probabilistic approach to control variable adjustment for power system planning applications

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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 http://hdl.handle.net/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

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