• DocumentCode
    2461547
  • Title

    Sensitivity analysis and low-dimensional stochastic modeling of shipboard Integrated Power Systems

  • Author

    Prempraneerach, P. ; Hover, F.S. ; Triantafyllou, M.S. ; Chryssostomidis, C. ; Karniadakis, G.E.

  • Author_Institution
    Dept. of Mech. Eng., Massachusetts Inst. of Technol., Cambridge, MA
  • fYear
    2008
  • fDate
    15-19 June 2008
  • Firstpage
    1999
  • Lastpage
    2003
  • Abstract
    For design purposes, we use stochastic modeling and sensitivity analysis to identify the most important parameters of the AC power distribution in the integrated power system (IPS) model. The main AC subsystem of the IPS consists of a 59 kW synchronous generator and a motor drive of 50 hp induction motor. First, we perform sensitivity analysis treating all 31 parameters of the full model as stochastic variables. Second, we construct two low-dimensional stochastic models (with 15 and 8 parameters) and compare the multi-rate dynamics of the reduced models to the full model. For parameter variations larger than 50%, the low-dimensional models still predict accurately the mean values but underpredict the variance of most state variables.
  • Keywords
    induction motor drives; power distribution; sensitivity analysis; ships; stochastic processes; synchronous generators; AC power distribution; induction motor; low-dimensional stochastic modeling; motor drives; multirate dynamics; sensitivity analysis; shipboard integrated power systems; stochastic modeling; stochastic variables; synchronous generator; Induction motors; Motor drives; Power distribution; Power system analysis computing; Power system modeling; Predictive models; Sensitivity analysis; Stochastic processes; Stochastic systems; Synchronous generators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics Specialists Conference, 2008. PESC 2008. IEEE
  • Conference_Location
    Rhodes
  • ISSN
    0275-9306
  • Print_ISBN
    978-1-4244-1667-7
  • Electronic_ISBN
    0275-9306
  • Type

    conf

  • DOI
    10.1109/PESC.2008.4592237
  • Filename
    4592237