• DocumentCode
    1755940
  • Title

    An Affine Arithmetic-Based Method for Voltage Stability Assessment of Power Systems With Intermittent Generation Sources

  • Author

    Munoz, J. ; Canizares, Claudio ; Bhattacharya, Kankar ; Vaccaro, Alfredo

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
  • Volume
    28
  • Issue
    4
  • fYear
    2013
  • fDate
    Nov. 2013
  • Firstpage
    4475
  • Lastpage
    4487
  • Abstract
    This paper presents a novel method based on affine arithmetic (AA) for voltage stability assessment of power systems considering uncertainties associated with operating conditions, which may be attributed to intermittent generation sources, such as wind and solar. The proposed AA-based method reduces the computational burden as compared to Monte Carlo (MC) simulations, and also improves the accuracy as compared to some analytical approaches. The proposed method is tested using two study cases: first, a 5-bus test system is used to illustrate the proposed technique in detail, and thereafter a 2383-bus test system to demonstrate its practical application. The results are compared with those obtained using MC simulations to verify the accuracy and computational burden of the proposed AA-based method, and also with respect to a previously proposed technique to estimate parameter sensitivities in voltage stability assessment.
  • Keywords
    arithmetic; power system parameter estimation; power system stability; solar power stations; voltage regulators; wind power plants; 2383-bus test system; 5-bus test system; AA-based method; affine arithmetic-based method; computational burden reduction; intermittent generation sources; operating conditions; power systems; voltage stability assessment; Computational modeling; Generators; Power system stability; Reactive power; Stability criteria; Uncertainty; Affine arithmetic; PV curves; uncertain systems; voltage stability;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2013.2276424
  • Filename
    6583295