• DocumentCode
    1872563
  • Title

    Application of probabilistic health analysis in generating facilities maintenance scheduling

  • Author

    Billinton, Roy ; Abdulwhab, Ahmed Saleh

  • Author_Institution
    Power Syst. Res. Group, Saskatchewan Univ., Saskatoon, Sask., Canada
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Abstract
    Preventive maintenance scheduling of generating facilities is an important requirement in generating system planning. Not conducting maintenance may enhance the ability to provide the available reserve in the short run, but will lead to higher generating unit failure rates which could create serious reserve shortages and decreased system reliability. A new technique designated as the health levelization technique is presented in this paper. This technique is a hybrid approach, which incorporates a deterministic criterion within a probabilistic framework. In the studies described in this paper, the probability of health is determined using the capacity of the largest unit. The maintenance schedules obtained using the health levelization technique is more responsive than the schedules obtained using the reserve levelization approach as it has the capability to incorporate many of the uncertainties that exist in the process. Deterministic techniques can create maintenance plans that satisfy the approved deterministic criteria. They can also create situations in some weeks in which there is excessive system risk due to the fact that the deterministic techniques do not involve any consideration of the actual risk
  • Keywords
    deterministic algorithms; maintenance engineering; power generation reliability; power stations; probability; scheduling; deterministic criterion; generating facilities maintenance scheduling; generating unit failure rates; health levelization technique; power system reliability; preventive maintenance scheduling; probabilistic health analysis; reserve shortages; well-being analysis; Capacity planning; Loss measurement; Power generation; Power industry; Power systems; Preventive maintenance; Reliability; Risk analysis; Stochastic processes; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Tech Proceedings, 2001 IEEE Porto
  • Conference_Location
    Porto
  • Print_ISBN
    0-7803-7139-9
  • Type

    conf

  • DOI
    10.1109/PTC.2001.964775
  • Filename
    964775