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Probabilistic load flow in systems with wind generation

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URI: https://hdl.handle.net/10016/8971
ISSN: 1751-8695
DOI: 10.1049/iet-gtd.2009.0039
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wind_plf.pdf (570.88 KB)
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2009-12
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The Institution of Engineering and Technology
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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.
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Probabilistic load flow, wind energy, Cornish Fisher expansion series
Bibliographic citation
IET Generation, Transmission & Distribution, Dec. 2009, vol.3, n.12, pp. 1031-41.
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DIE - REDES - Artículos en revistas internacionales / Articles in international journals