• DocumentCode
    1316299
  • Title

    Delivery point reliability measurement

  • Author

    Chowdhury, Ali A. ; Koval, Don O.

  • Author_Institution
    Transmission Planning, Alberta Power Ltd., Edmonton, Alta., Canada
  • Volume
    32
  • Issue
    6
  • fYear
    1996
  • Firstpage
    1440
  • Lastpage
    1448
  • Abstract
    Reliability is one of the most important criteria which must be taken into consideration during the planning, designing and operating phases of any industrial, commercial or utility power system. Two distinct reliability assessment methodologies are frequently used to evaluate the reliability performance of power systems: 1) historical reliability assessment, i.e. the collection and analysis of system outage data; and 2) predictive reliability assessment, i.e., combining historical outage data and theoretical models to estimate the performance of various power system operating configurations. This paper focuses on the historical assessment of the sustained frequency and duration of single-circuit and multi-circuit delivery point interruptions. Delivery point reliability levels have a significant impact on the design of industrial and commercial power systems (e.g., IEEE Gold Book-IEEE Standard 493). Bulk electricity system average reliability performance indices are defined and statistics based on delivery point sustained interruption data for a five year period from 1988 to 1992 are presented and discussed in detail in this paper
  • Keywords
    electrical faults; industrial power systems; power system reliability; power system transients; average reliability performance indices; commercial power systems; delivery point reliability measurement; historical reliability assessment; multi-circuit delivery point interruptions; operating configurations; outage data; reliability assessment methodologies; single-circuit delivery point interruptions; Estimation theory; Industrial power systems; Performance analysis; Power system analysis computing; Power system measurements; Power system modeling; Power system planning; Power system reliability; Predictive models; Reliability theory;
  • fLanguage
    English
  • Journal_Title
    Industry Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-9994
  • Type

    jour

  • DOI
    10.1109/28.556650
  • Filename
    556650