• DocumentCode
    3597578
  • Title

    Fast Calculation of Probabilistic TTC with Static Voltage Stability Constraint

  • Author

    Wang, Chengshan ; Wang, Xinggang ; Zhang, Pei

  • Author_Institution
    Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin
  • fYear
    2007
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper develops a fast probabilistic method to evaluate total transfer capability (TTC) considering static voltage stability constraints. A layered probabilistic TTC calculation model, in which load, generator output and contingencies uncertainties are considered, is proposed based on static voltage stability region (SVSR) method. A hyper-plane equation is derived to estimate part of the SVSR boundary in power injection space. Vector quantification clustering method and damped Newton method are also used to obtain the number and location of tangent points. The advantages of this proposed method are illustrated by an application to an IEEE RTS-118 system.
  • Keywords
    Monte Carlo methods; Newton method; power system stability; probability; IEEE RTS-118 system; Monte Carlo simulation; SVSR boundary estimation; contingencies uncertainties; damped Newton method; hyper-plane equation; power injection space; probabilistic TTC; static voltage stability constraint; total transfer capability; vector quantification clustering method; Clustering methods; Equations; Load modeling; Monte Carlo methods; Newton method; Power system modeling; Power system reliability; Power system stability; Uncertainty; Voltage; ATC; Fast calculation; Monte Carlo simulation; Probabilistic; Static voltage stability region; Total transfer capability (TTC);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2007. IEEE
  • ISSN
    1932-5517
  • Print_ISBN
    1-4244-1296-X
  • Electronic_ISBN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PES.2007.385931
  • Filename
    4275697