Title :
Probabilistic load flow in systems with wind generation
Author_Institution :
Dept. de Ing. Electr., Univ. Carlos III de Madrid, Leganes, Spain
fDate :
12/1/2009 12:00:00 AM
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.
Keywords :
load flow; probability; wind power plants; Cornish-Fisher expansion series; cumulative distribution function; power systems; probabilistic load flow; probabilistic power flow; wind generation;
Journal_Title :
Generation, Transmission & Distribution, IET
DOI :
10.1049/iet-gtd.2009.0039