• DocumentCode
    1558942
  • Title

    Prioritizing reliability for underground distribution

  • Author

    Bertini, Glen J.

  • Author_Institution
    UTILX Corp., Kent, WA, USA
  • Volume
    15
  • Issue
    1
  • fYear
    2002
  • fDate
    1/1/2002 12:00:00 AM
  • Firstpage
    29
  • Lastpage
    34
  • Abstract
    US domestic power utilities are faced with over 600000 kilometers of solid-dielectric underground cables, virtually all of which do not meet the reliability standards required of a twenty-first century economy. Diagnostic testing methods are being developed and commercialized that are intended to prioritize the 600000-kilometer cable replacement effort. Over 90% of the pre1980 vintage cables are single-phase underground residential distribution (URD) cable. An economic model is presented that allows an objective comparison of any testing technique and the alternatives, which include replacing the suspect circuits or using commercially available life-extension technologies. Available diagnostic technology is not an economically viable option for URD cables. An alternative computer-based tool is now available that aids in the prioritization efforts at a small fraction of the cost of performing diagnostic testing. The tool provides a strategic reliability analysis (SRA), which allows the mining of the utility´s own data to definitively answer the critical strategic questions
  • Keywords
    data mining; power cable testing; power engineering computing; reliability; underground cables; underground residential distribution systems; computer-based tool; data mining; diagnostic testing methods; economic model; life-extension technologies; reliability standards; single-phase underground residential distribution cable; solid-dielectric underground cables; strategic reliability analysis; underground distribution cables; Aging; Automatic testing; Circuit testing; Costs; Life estimation; Maintenance; Power cables; Power generation economics; Sampling methods; System testing;
  • fLanguage
    English
  • Journal_Title
    Computer Applications in Power, IEEE
  • Publisher
    ieee
  • ISSN
    0895-0156
  • Type

    jour

  • DOI
    10.1109/67.976989
  • Filename
    976989