• DocumentCode
    3567633
  • Title

    On the improvement of steam power plant system reliability

  • Author

    Mangara, B.T. ; Finkelstein, M.

  • Author_Institution
    Dept. of Electr., Electron. & Comput. Eng., Central Univ. of Technol., Bloemfontein, South Africa
  • fYear
    2014
  • Firstpage
    5389
  • Lastpage
    5393
  • Abstract
    A systematic approach based on the graph theoretical analysis and a graph´s characteristic polynomial is used to develop a model for estimating the reliability index and evaluating the availability index for a coal-fired generating power station. In this study the coal-fired generating station system is divided into six subsystems. Consideration of all the subsystems and their interrelations are rudiment in evaluating the reliability (estimate). The approximate reliability of the coal-fired generating station is modeled in terms of approximate reliability attributes of the graph. Nodes in graph represent sub-system reliability and the reliability of interrelations of these sub-systems is represented by the links. The approximate reliability of the system is determined by computing a graph´s characteristic polynomial using three different methods: the linearly independent cycles, the figure equation and the adjacent matrix. Estimating reliability is always an imperfect endeavor and hence the use of three methods for comparison purposes. The proposed methodology is illustrated step-by-step with the help of examples.
  • Keywords
    graph theory; polynomials; power generation reliability; steam power stations; adjacent matrix; approximate reliability; coal-fired generating power station system; graph theoretical analysis; steam power plant system reliability; Mathematical model; Polynomials; Power generation; Reliability engineering; Reliability theory; coal-fired; graph; links; model method; nodes; reliability; steam; system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, IECON 2014 - 40th Annual Conference of the IEEE
  • Type

    conf

  • DOI
    10.1109/IECON.2014.7049323
  • Filename
    7049323