• DocumentCode
    403304
  • Title

    Classification of major event days

  • Author

    Warren, Cheryl A. ; Bouford, James D. ; Christie, Richard D. ; Kowalewski, Dan ; McDaniel, John ; Robinson, Rodney ; Schepers, David J. ; Viglietta, Joseph ; Williams, Charlie

  • Volume
    1
  • fYear
    2003
  • fDate
    13-17 July 2003
  • Abstract
    This paper explores the basis, need, and benefit of classifying reliability performance relative to major events. Today, many internal and external goals are set based on reliability performance. Internal as well as external comparison is difficult to make due to variations in weather, collection methods, and a plethora of other variables. The Working Group on System Design has developed a statistics based methodology that classifies reliability data into normal and major event days. After classification, analysis can be performed on each data set using separate processes to arrive at sound business decisions and to make internal comparisons possible. This paper describes the newly developed methodology, the "beta method".
  • Keywords
    decision making; log normal distribution; power distribution reliability; Working Group on System Design; beta method; decision making; electric utility; log normal distribution; major event days classification; reliability data; reliability performance; sound business decisions; statistics based methodology; Costs; Large-scale systems; Maintenance; Performance analysis; Power industry; Power system reliability; Regulators; Statistical distributions; Storms; System analysis and design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2003, IEEE
  • Print_ISBN
    0-7803-7989-6
  • Type

    conf

  • DOI
    10.1109/PES.2003.1267222
  • Filename
    1267222