• DocumentCode
    760636
  • Title

    System Reliability Assessment Method for Wind Power Integration

  • Author

    Vallee, Francois ; Lobry, Jacques ; Deblecker, Olivier

  • Author_Institution
    Electr. Eng. Dept., Fac. Polytech. de Mons, Mons
  • Volume
    23
  • Issue
    3
  • fYear
    2008
  • Firstpage
    1288
  • Lastpage
    1297
  • Abstract
    Wind power penetration is expected to be largely increased in the near future. Nevertheless, due to the high variability of wind, the increase of the installed capacity in wind energy could sometimes lead to a stopping of nonadjustable power plants if the planning of those units was still decided without considering a realistic estimation of the available wind potential. In that way, and as it is illusory to imagine that all the installed wind capacity will always be produced, this article proposes a new method, based on a discrete convolution process, to compute a two-state probabilistic model for wind generation and to define, so, an equivalent capacity for global wind production in order to introduce it in the predictive peak load covering process. This global model is, in fact, based on the convolution between each single wind park multistates histograms and permits to compute accurate equivalent capacity for the wind production of an entire country.
  • Keywords
    Weibull distribution; reliability; wind power; discrete convolution process; system reliability assessment method; two-state probabilistic model; wind energy; wind generation; wind power integration; wind power penetration; Power control; Weibull distributions; power system modeling; wind energy;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2008.926090
  • Filename
    4547449