PROBABILISTIC LOAD FLOW CONSIDERING GENERATION FROM WIND POWER SOURCES.

Hatziargyriou, ND; Kavatza, SKarakatsanis

dc.contributor.author	Hatziargyriou, ND	en
dc.contributor.author	Kavatza, SKarakatsanis	en
dc.date.accessioned	2014-03-01T01:38:57Z
dc.date.available	2014-03-01T01:38:57Z
dc.date.issued	1986	en
dc.identifier.issn	07612516	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/22492
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0022581103&partnerID=40&md5=87c330ca6b26d6061bcd3eae565cf6a8	en
dc.subject.other	MATHEMATICAL TECHNIQUES - Algorithms	en
dc.subject.other	PROBABILITY	en
dc.subject.other	WIND POWER	en
dc.title	PROBABILISTIC LOAD FLOW CONSIDERING GENERATION FROM WIND POWER SOURCES.	en
heal.type	journalArticle	en
heal.publicationDate	1986	en
heal.abstract	Systems which include energy production from renewable power sources require a probabilistic modelling of generation and demand. Generation from such sources normally follows the statistical nature of atmospheric conditions and is therefore widely random. The use of deterministic methods in the design of such systems could therefore lead to wrong decisions, while a system analysis using random-variable modelling and probabilistic techniques can achieve a more efficient use of capital resources. In this paper, the probabilistic model of wind power generation is deduced and incorporated into stochastic load-flow equations. These equations are solved for the general case of a system containing both renewable and non-renewable power sources. The algorithm developed is applied to a realistic network and practical conclusions are drawn.	en
heal.journalName	Modelling, simulation & control. B	en
dc.identifier.volume	6	en
dc.identifier.issue	4	en
dc.identifier.spage	51	en
dc.identifier.epage	63	en