• DocumentCode
    126981
  • Title

    Multicriteria model of inspection in a power distribution company

  • Author

    Ferreira, Rodrigo J. P. ; de Almeida, Anibal T.

  • Author_Institution
    Dept. of Production Eng., Fed. Univ. of Pernambuco, Recife, Brazil
  • fYear
    2014
  • fDate
    27-30 Jan. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In several countries, electrical power distribution companies are in an environment controlled by government regulatory agencies. Various performance indicators were developed with the aim of ensuring the quality of service which is monitored by regulatory agencies. The profitability of companies is directly related to such goals. Two relevant distribution reliability indices that measure the duration and frequency of the average interruption of a system are known as SAIFI and SAIDI. To achieve high levels of performance for these indicators the company should engage on good maintenance planning. The contribution of this paper consists of proposing a multicriteria model in order to define strategies of inspection intervals that will meet three objectives, namely to minimize the number of experiences a customer has of sustained interruption over a predefined period of time, the length of an interruption, and the cost to the system. A case study is carried out to evaluate and apply the performance of the decision model based on data from a Brazilian power distribution company.
  • Keywords
    distribution networks; inspection; decision model performance; inspection interval strategy; inspection multicriteria model; power distribution company; sustained interruption; Companies; Delays; Inspection; Interrupters; Maintenance engineering; Planning; Utility theory; Delay-time; Inspection; Multi-attribute utility theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability and Maintainability Symposium (RAMS), 2014 Annual
  • Conference_Location
    Colorado Springs, CO
  • Print_ISBN
    978-1-4799-2847-7
  • Type

    conf

  • DOI
    10.1109/RAMS.2014.6798437
  • Filename
    6798437