• DocumentCode
    2631859
  • Title

    The risk-based assessment of static voltage stability issues with consideration of load and wind power uncertainties

  • Author

    Weisi Deng ; Buhan Zhang ; Hongfa Ding

  • Author_Institution
    State Key Lab. of Adv. Electromagn. Eng. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2015
  • fDate
    10-13 March 2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The risk-based assessment is a new approach to the voltage stability assessment in power system. Under several uncertainties, the security risk of static voltage stability with considerable of wind power can be evaluated. In this paper, the Quasi-Monte Carlo (QMC) simulation is used to speed up Monte Carlo by improving the technical of sample generation. Besides, a new voltage stability index is defined, which reveal critical characteristics of static voltage stability. The local voltage stability margin (LVSM) considering the security risk at a forecasted operating point can be calculated to evaluate the voltage stability. Testing on a modified IEEE New England 39-bus system, results from the proposed method are compared agains the result from the conventional method. The proposed method´s effectiveness and advantaged are demonstrated with the test results.
  • Keywords
    Monte Carlo methods; power system security; power system stability; risk management; wind power; IEEE New England 39-bus system; LVSM; load power uncertainty; local voltage stability margin; power system; quasiMonte Carlo simulation; risk-based assessment; security risk; static voltage stability; voltage stability assessment; voltage stability index; wind power uncertainty; Circuit stability; Load flow; Power system stability; Stability criteria; Uncertainty; Wind power generation; risk assessment; state voltage stability; uncertainty; wind power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Systems Conference (PSC), 2015 Clemson University
  • Conference_Location
    Clemson, SC
  • Type

    conf

  • DOI
    10.1109/PSC.2015.7101710
  • Filename
    7101710