• DocumentCode
    1435438
  • Title

    Voltage stability analysis based on probabilistic power flow and maximum entropy

  • Author

    Zhang, Jian F. ; Tse, C.T. ; Wang, W. ; Chung, C.Y.

  • Author_Institution
    Dept. of Electr. Eng., Hong Kong Polytech. Univ., Hong Kong, China
  • Volume
    4
  • Issue
    4
  • fYear
    2010
  • fDate
    4/1/2010 12:00:00 AM
  • Firstpage
    530
  • Lastpage
    537
  • Abstract
    Methods of determination of voltage stability margin index had been well established. This study adopts a new method to determine the probabilistic distribution of margin index taking into account the random variations of bus loads. First, the probabilistic technique and the Jacobian method are combined to determine the probabilistic characteristics of stability margins and nodal voltages at the maximum load points. Then, according to these probabilistic characteristics, maximum entropy method is adopted to determine the probabilistic distribution of stability margin. Last, the proposed method is investigated on two test systems with random active and reactive loads. Monte Carlo simulations are used as a reference solution to evaluate the accuracy of the proposed method.
  • Keywords
    Monte Carlo methods; maximum entropy methods; power system stability; Jacobian method; Monte Carlo simulations; margin index; maximum entropy method; probabilistic distribution; voltage stability analysis;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission & Distribution, IET
  • Publisher
    iet
  • ISSN
    1751-8687
  • Type

    jour

  • DOI
    10.1049/iet-gtd.2009.0071
  • Filename
    5427312