• DocumentCode
    2434852
  • Title

    Stochastic Petri nets architectural modules for power system availability

  • Author

    Dumitrescu, Mariana

  • Author_Institution
    Electr. Eng. Dept., "Dunarea de Jos" Galati Univ., Romania
  • Volume
    2
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    745
  • Abstract
    The most commonly used dependability models are the state-space models, as generalized stochastic Petri nets (GSPN). Due to their logical subnets, a complex model results even for simple repairable systems. Combining the GSPN properties and high level Petri net facilities, a simplified model, having the same modeling power as GSPN, is built, giving logical explicit stochastic Petri net (LESPN) architectural modules for parallel, series, and series-parallel repairable systems. These modules can be used in repairable power systems dependability modeling (but not only). A computerized tool, SPNE, is created to compute the dependability metrics. The paper presents a comparative analysis of the LESPN architectural modules. We apply the dependability comparative analysis in a ship electric power plant safety study. Three electrical generators-main switchboard (EG-MS) coupling alternatives, for the ship electric power plant, are proposed and analyzed.
  • Keywords
    Petri nets; maintenance engineering; power system analysis computing; power system faults; power system reliability; safety; state-space methods; stochastic processes; GSPN; LESPN; SPNE software tool; dependability modeling; electrical generator-main switchboard coupling; generalized stochastic Petri nets; high level Petri nets; logical explicit stochastic Petri net architectural modules; logical subnets; parallel/series/series-parallel repairable systems; power system availability modeling; reliability; repairable power systems dependability modeling; ship electric power plant safety study; ship electric power plants; state-space models; Electrical safety; Generators; Marine safety; Marine vehicles; Petri nets; Power system analysis computing; Power system modeling; Power systems; Stochastic processes; Stochastic systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits and Systems, 2002. 9th International Conference on
  • Print_ISBN
    0-7803-7596-3
  • Type

    conf

  • DOI
    10.1109/ICECS.2002.1046276
  • Filename
    1046276