• DocumentCode
    157516
  • Title

    A practical application of the Delphi method in maintenance-targeted resource allocation of distribution utilities

  • Author

    Dehghanian, P. ; Moeini-Aghtaie, Moein ; Fotuhi-Firuzabad, Mahmud ; Billinton, Roy

  • Author_Institution
    Center of Excellence in Electr. Power Syst. Manage. & Control, Sharif Univ. of Technol., Tehran, Iran
  • fYear
    2014
  • fDate
    7-10 July 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Trying to find the most efficient and cost-effective decisions on the maintenance of different component types in power distribution systems is an increasingly challenging concern largely driven by the current financial constraints in distribution utilities worldwide. In regard to deal with this challenge, the paper presents a practical application of the Delphi method and the Modified Analytical Hierarchical Process (MAHP) that can be used to find the most critical component types of the system in order to assist in accordingly allocating the available maintenance budget. The proposed approach involves the experience and knowledge held by experts and the historical empirical performance data in the utility data management systems to create the associated decisions. The approach has been applied in the Alborz Distribution System in Tehran, Iran. The results obtained and the lessons learned are reported in detail.
  • Keywords
    analytic hierarchy process; maintenance engineering; power distribution economics; Alborz Distribution System; Delphi method; Iran; MAHP; Tehran; distribution utilities; financial constraints; maintenance-targeted resource allocation; modified analytical hierarchical process; power distribution system; utility data management system; Decision making; Maintenance engineering; Planning; Power cables; Power distribution; Reliability; Resource management; Analytical Hierarchical Process (AHP); distribution system; maintenance; resource allocation; the Delphi method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Probabilistic Methods Applied to Power Systems (PMAPS), 2014 International Conference on
  • Conference_Location
    Durham
  • Type

    conf

  • DOI
    10.1109/PMAPS.2014.6960587
  • Filename
    6960587