Probabilistic Load Flow in Systems with Wind Generation Articles uri icon

publication date

  • December 2009

start page

  • 1031

end page

  • 1041

issue

  • 12

volume

  • 3

International Standard Serial Number (ISSN)

  • 1751-8687

Electronic International Standard Serial Number (EISSN)

  • 1751-8695

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.