• DocumentCode
    3103505
  • Title

    The catastrophic day identification problem in distribution reliability, and the robust estimation approach

  • Author

    Christie, Richard D.

  • Author_Institution
    Electr. Eng. Dept., Univ. of Washington, Seattle, WA, USA
  • fYear
    2012
  • fDate
    7-10 May 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The Major Event Day identification process used in distribution reliability calculation described in IEEE Standard P1366 is based on computing a threshold from five years of data. Massive, infrequent reliability events, such as a one in one hundred year ice storm, dubbed Catastrophic Days, can skew the threshold computation and thus affect the identification of Major Event Days and the calculation of normal reliability levels until the Catastrophic Day rolls out of the five year window. The Catastrophic Day Task Force of the Distribution Reliability Working Group has explored methods to identify Catastrophic Days and exclude them from the Major Event Day computations. One such method, Robust Estimation, is described in this work. While theoretically valid, Robust Estimation has not worked well in practice.
  • Keywords
    IEEE standards; estimation theory; log normal distribution; power distribution reliability; IEEE P1366 standard; catastrophic day identification problem; catastrophic day task force; distribution reliability; distribution reliability calculation; distribution reliability working group; dubbed catastrophic days; log-normal distribution; major event day identification process; robust estimation approach; Estimation; IEEE standards; Power system reliability; Probability distribution; Robustness; Power distribution; log-normal distribution; reliability; robust estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transmission and Distribution Conference and Exposition (T&D), 2012 IEEE PES
  • Conference_Location
    Orlando, FL
  • ISSN
    2160-8555
  • Print_ISBN
    978-1-4673-1934-8
  • Electronic_ISBN
    2160-8555
  • Type

    conf

  • DOI
    10.1109/TDC.2012.6281533
  • Filename
    6281533