• DocumentCode
    1361927
  • Title

    Distribution system reliability: default data and model validation

  • Author

    Brown, R.E. ; Ochoa, J.R.

  • Author_Institution
    Transmission Technol. Inst., ABB Power T&D Co. Inc., Raleigh, NC, USA
  • Volume
    13
  • Issue
    2
  • fYear
    1998
  • fDate
    5/1/1998 12:00:00 AM
  • Firstpage
    704
  • Lastpage
    709
  • Abstract
    Distribution system reliability assessment is able to predict the interruption profile of a distribution system based on system topology and component reliability data. Unfortunately, many utilities do not have enough historical component reliability data to perform such an assessment, and are not confident that other sources of data are representative of their particular system. As a result, these utilities do not incorporate distribution system reliability assessment into their design process and forego its significant advantages. This paper presents a way of gaining confidence in a reliability model by developing a validation method. This method automatically determines appropriate default component reliability data so that predicted reliability indices match historical values. The result is a validated base case from which incremental design improvements can be explored
  • Keywords
    distribution networks; power system reliability; default component reliability data; default data; distribution system reliability; incremental design improvements; interruption profile prediction; model validation; predicted reliability indices; reliability model; Computer crashes; Costs; Drives; Power system modeling; Power system planning; Power system reliability; Predictive models; Process design; Switches; Topology;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.667403
  • Filename
    667403