• DocumentCode
    3396380
  • Title

    An analytical method for optimum maintenance of substations

  • Author

    Ge, Haifeng ; Asgarpoor, Sohrab

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Nebraska - Lincoln, Lincoln, NE
  • fYear
    2008
  • fDate
    21-24 April 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    An analytical method for determining the optimum maintenance of substations based on stochastic modeling is presented in this paper. The analytical method includes reliability modeling of operation states, and different types of maintenance for individual components, which provides more detail information comparing with traditional modeling. Importance analysis is performed to quantify the reliability contribution of each individual component towards a specific load point, which also gives the priority of a component´s maintenance significance. Moreover, economical analysis is also included in this paper, which calculates the expected benefit that can be achieved for a load point with corresponding maintenance schedule. An application of using the proposed method for evaluating substation maintenance schedule is given. The optimal maintenance schedule and the corresponding expected reliability and benefit are presented in this paper.
  • Keywords
    maintenance engineering; power system reliability; scheduling; stochastic processes; substations; analytical method; reliability contribution; stochastic modeling; substation maintenance scheduling; Availability; Costs; Information analysis; Job shop scheduling; Maintenance; Performance analysis; Power generation economics; Power system reliability; Stochastic processes; Substations; Semi-Markov Decision Processes; Semi-Markov Processes; Substation Maintenance; equipment availability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transmission and Distribution Conference and Exposition, 2008. T&D. IEEE/PES
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4244-1903-6
  • Electronic_ISBN
    978-1-4244-1904-3
  • Type

    conf

  • DOI
    10.1109/TDC.2008.4517066
  • Filename
    4517066