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Please use this identifier to cite or link to this item: http://hdl.handle.net/10016/8971

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Title: Probabilistic load flow in systems with wind generation
Author(s): Usaola, Julio
Publisher: The Institution of Engineering and Technology
Issued date: Dec-2009
Citation: IET Generation, Transmission & Distribution, Dec. 2009, vol.3, n.12, pp. 1031-41.
URI: http://hdl.handle.net/10016/8971
ISSN: 1751-8695
DOI: 10.1049/iet-gtd.2009.0039
Abstract: A method for solving a probabilistic power flow that deals with the uncertainties of (i) wind generation, (ii) load and (iii) generation availability in power systems is proposed. Dependence between random variables has been considered. The method is based on the properties of cumulants of random variables. Cornish-Fisher expansion series are used to obtain the cumulative distribution function (CDF) of the output variables. Multimodal CDF are obtained by convolutions, whose number has been minimised in order to decrease the computation requirements.
Review: PeerReviewed
Publisher version: http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5345665
Keywords: Probabilistic load flow
wind energy
Cornish Fisher expansion series
Rights: © The Institution of Engineering and Technology 2009
Appears in Collections:DIE - REDES - Artículos en revistas internacionales / Articles in international journals

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