• DocumentCode
    1453654
  • Title

    Distribution system reliability cost/worth analysis using analytical and sequential simulation techniques

  • Author

    Billinton, Roy ; Wang, Peng

  • Author_Institution
    Dept. of Electr. Eng., Saskatchewan Univ., Saskatoon, Sask., Canada
  • Volume
    13
  • Issue
    4
  • fYear
    1998
  • fDate
    11/1/1998 12:00:00 AM
  • Firstpage
    1245
  • Lastpage
    1250
  • Abstract
    The requirements for extensive justification of new facilities and emphasis on the optimization of system cost and reliability are steadily increasing. Customer interruption cost analysis provides valuable input to electric power supply reliability worth assessment. This paper presents both a generalized analytical approach and a time sequential Monte Carlo simulation technique for evaluating the customer interruption cost in complex radial distribution systems. Studies are conducted on two practical distribution systems. The results obtained using the analytical technique incorporating average restoration times are compared with those obtained using the time sequential simulation method and random restoration times. The effects on customer interruption cost indices associated with alternate supply and protection devices are also considered
  • Keywords
    Monte Carlo methods; costing; distribution networks; economics; electrical faults; power supply quality; power system reliability; power system restoration; value engineering; Monte Carlo simulation technique; analytical simulation techniques; complex radial distribution systems; cost/worth analysis; customer interruption cost analysis; distribution system reliability; restoration time; sequential simulation techniques; Analytical models; Costs; Environmental economics; Power generation economics; Power system analysis computing; Power system economics; Power system protection; Power system reliability; Power system restoration; Switches;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.736248
  • Filename
    736248