• DocumentCode
    3444103
  • Title

    Probabilistic evaluation of static voltage stability taking account of the variation of load and stochastic distributed generations

  • Author

    Ke-yan Liu ; Lijuan Hu ; Wanxing Sheng

  • Author_Institution
    China Electr. Power Res. Inst., Beijing, China
  • fYear
    2013
  • fDate
    26-29 Oct. 2013
  • Firstpage
    418
  • Lastpage
    421
  • Abstract
    The impact of renewable distributed generation on power system is an hot topic in smart grid. Accounting for the uncertainties of wind power and load, a probabilistic evaluation method was proposed for static voltage stability based on two-point estimate method (2PEM) and continuous power flow. By 2PEM, the probabilistic problems could be handled as those corresponding to deterministic problems. The continuous power flow method was to get the load margin and PV curves with iterations for static voltage stability. The numerical results of IEEE 33-bus test system show that the proposed method maintains a high accuracy and reduces the computation burden.
  • Keywords
    distributed power generation; iterative methods; load flow; photovoltaic power systems; power system stability; probability; smart power grids; wind power plants; 2PEM; IEEE 33-bus test system; PV curves; continuous power flow method; iterations; load margin; load variation; power system; probabilistic evaluation method; renewable distributed generation; smart grid; static voltage stability; stochastic distributed generations; two-point estimate method; wind power uncertainties; Random variables;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems (ICEMS), 2013 International Conference on
  • Conference_Location
    Busan
  • Print_ISBN
    978-1-4799-1446-3
  • Type

    conf

  • DOI
    10.1109/ICEMS.2013.6754444
  • Filename
    6754444