• DocumentCode
    3386657
  • Title

    Research on the inspection period of non-attended power substation by the Monte-Carlo method

  • Author

    Zhongyuan, Zhang ; Bin, Yang

  • Author_Institution
    Dept. of Electr. Eng., North China Electr. Power Univ., Baoding, China
  • Volume
    2
  • fYear
    2009
  • fDate
    28-29 Nov. 2009
  • Firstpage
    292
  • Lastpage
    295
  • Abstract
    In order to ensure the effectiveness of inspection work of substation, based on the defect information from the components of power substation, such as power transformer, circuit-breaker, TA, TV and disconnectors, the simulation model to calculate the inspection period is formulated with the Monte-Carlo simulation. fault tree analysis and analytic hierarchy process method. The inspection period under different reliability levels are calculated. The inspection period at different reliability requirement is calculated and the simulation calculation method to determine the inspection period is proposed. This method simulate the time randomness of various device defects based on Monte-Carlo simulation, it is suitable for condition based maintenance, and provides a tool to determine the inspection period for a non-attended power substation.
  • Keywords
    Monte Carlo methods; circuit breakers; fault trees; inspection; power system reliability; Monte-Carlo method; analytic hierarchy process method; circuit-breaker; device defects; fault tree analysis; inspection period; non-attended power substation; power substation; power transformer; Analytical models; Circuit faults; Cities and towns; Equipment failure; Fault trees; Information analysis; Inspection; Statistics; Substations; Testing; Monte-Carlo simulation; analytic hierarchy process method; fault tree analysis; inspection period; non-attended power substation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Industrial Applications, 2009. PACIIA 2009. Asia-Pacific Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4606-3
  • Type

    conf

  • DOI
    10.1109/PACIIA.2009.5406602
  • Filename
    5406602