Probabilistic Load Flow with Correlated Wind Power Injections Articles uri icon

publication date

  • May 2010

start page

  • 528

end page

  • 536


  • 5


  • 80

International Standard Serial Number (ISSN)

  • 0378-7796

Electronic International Standard Serial Number (EISSN)

  • 1873-2046


  • The non-dispatchable nature of wind generation implies that system operation depends on wind power prediction programs that forecast wind farms production with high levels of uncertainty. This means that
    probabilistic power analysis tools become more and more necessary in
    systems with high wind penetration. Probabilistic load flow becomes
    especially difficult when wind generation is considered. The high
    uncertainty of the production, the non-Gaussian probability density
    function (PDF) and the clear dependence among the wind farms poses a
    challenge for conventional tools. The paper proposes an approximation
    that makes use of the properties of statistical moments and
    Cornish&-Fisher expansion to tackle these new problems.