• DocumentCode
    2405461
  • Title

    Stochastical and statistical assessment of voltage dips

  • Author

    Bollen, M.H.J. ; Qader, M.R. ; Allan, R.N.

  • Author_Institution
    Dept. of Electr. Power Eng., Chalmers Univ. of Technol., Goteborg, Sweden
  • fYear
    1998
  • fDate
    35822
  • Firstpage
    42491
  • Lastpage
    42494
  • Abstract
    Short duration voltage dips due to short circuits are generally considered a serious power quality problem. To decide on the suitability of mitigation methods, knowledge is needed about the expected number of dips as a function of magnitude, duration and other characteristics. This knowledge can be obtained through the use of power quality monitors or by means of stochastic prediction methods. In this paper, two methods for the stochastic prediction of voltage dips are presented: the method of fault positions; and the method of critical distances. Both are applied to the same power system and the results are compared
  • Keywords
    power systems; critical distances method; dip duration; dip magnitude; fault positions method; mitigation methods; power quality; power system voltage dips; statistical assessment; stochastic prediction methods; undervoltage;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Tools and Techniques for Dealing with Uncertainty (Digest No. 1998/200), IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1049/ic:19980068
  • Filename
    667852