Probabilistic constrained load flow based on sensitivity analysis

Karakatsanis, TS; Hatziargyriou, ND

dc.contributor.author	Karakatsanis, TS	en
dc.contributor.author	Hatziargyriou, ND	en
dc.date.accessioned	2014-03-01T01:10:09Z
dc.date.available	2014-03-01T01:10:09Z
dc.date.issued	1994	en
dc.identifier.issn	0885-8950	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/11326
dc.subject	PROBABILISTIC LOAD FLOW	en
dc.subject	CONSTRAINED LOAD FLOW	en
dc.subject	SENSITIVITY ANALYSIS	en
dc.subject	TRANSFORMER TAP OPTIMIZATION	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.other	Algorithms	en
dc.subject.other	Constraint theory	en
dc.subject.other	Electric power system interconnection	en
dc.subject.other	Iterative methods	en
dc.subject.other	Linear programming	en
dc.subject.other	Monte Carlo methods	en
dc.subject.other	Nonlinear programming	en
dc.subject.other	Optimization	en
dc.subject.other	Piecewise linear techniques	en
dc.subject.other	Planning	en
dc.subject.other	Probability	en
dc.subject.other	Sensitivity analysis	en
dc.subject.other	Constrained load flow	en
dc.subject.other	Optimal power flow	en
dc.subject.other	Probabilistic density functions	en
dc.subject.other	Probabilistic load flow	en
dc.subject.other	Short term operational planning	en
dc.subject.other	Transformer tap optimization	en
dc.subject.other	Electric load flow	en
dc.title	Probabilistic constrained load flow based on sensitivity analysis	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/59.331441	en
heal.identifier.secondary	http://dx.doi.org/10.1109/59.331441	en
heal.language	English	en
heal.publicationDate	1994	en
heal.abstract	This paper presents a method for network constrained setting of control variables based on probabilistic load flow analysis. The method determines operating constraint violations for a whole planning period together with the probability of each violation. An iterative algorithm is subsequently employed providing adjustments of the control variables based on sensitivity analysis of the constrained variables with respect to the control variables. The method is applied to the IEEE 14 busbar system and to a realistic model of the Hellenic Inter-connected system indicating its suitability for short-term operational planning applications.	en
heal.publisher	IEEE, Piscataway, NJ, United States	en
heal.journalName	IEEE Transactions on Power Systems	en
dc.identifier.doi	10.1109/59.331441	en
dc.identifier.isi	ISI:A1994PU99800021	en
dc.identifier.volume	9	en
dc.identifier.issue	4	en
dc.identifier.spage	1853	en
dc.identifier.epage	1860	en