• DocumentCode
    535658
  • Title

    Power systems reliability evaluation using probabilistic load flows methods

  • Author

    Coroiu, Felicia ; Dondera, Daniel ; Velicescu, Corneliu ; Vuc, Gheorghe

  • Author_Institution
    Politeh. Univ. of Timisoara, Timisoara, Romania
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 3 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The paper presents a new method to evaluate the loss of load probability and expected energy not supply, based for the convolution of probability distribution functions for load flow using the linear load flow equations. It uses the concept of equivalent branches to the systems nodes and their probability distribution functions. The generation units are considered trough a binomial probabilistic distribution while the loads trough a normal one. The equivalent probability distribution functions is estimates only by a sum of weighted normal distribution with means and variances computed from means of loads and impulse values, respectively sum of variances of loads. The loss of load probability and expected energy not supply are estimated only with Gauss Laplace integral functions.
  • Keywords
    Laplace equations; load flow; power system reliability; statistical distributions; Gauss Laplace integral functions; binomial probabilistic distribution; linear load flow equations; load probability loss; power system reliability evaluation; probabilistic load flow methods; probability distribution functions; weighted normal distribution; Convolution; Estimation; Gaussian distribution; Generators; Load flow; Probabilistic logic; Random variables; Gram Charlier series; convolution; cumulative distribution function (CDF); expected energy not supply (EENS); loss of load probability (LOLP); probabilistic load flow (PLF); probability distribution function (PDF);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Universities Power Engineering Conference (UPEC), 2010 45th International
  • Conference_Location
    Cardiff, Wales
  • Print_ISBN
    978-1-4244-7667-1
  • Type

    conf

  • Filename
    5649464