• DocumentCode
    1108023
  • Title

    Decomposed, Reduced Order Model for Double-Cage Induction Machines

  • Author

    Richards, Gill G. ; Tan, Owen T.

  • Author_Institution
    Louisiana State University, Baton Rouge, LA 70803
  • Issue
    3
  • fYear
    1986
  • Firstpage
    87
  • Lastpage
    93
  • Abstract
    A method is presented and validated for increasing the computational efficiency in simulating double-cage induction machines where stator transients are to be included. Iterative decomposition is used to separate the flux-linkage equations into decoupled fast and slow subsystems, after which the model order of the fast subsystem is reduced by neglecting the heavily damped fast transients caused by the starting cage. The two decoupled subsystems along with the equation for the very slowly changing slip constitute a three time-scale model for the machine which resulted in more than doubling computational speed.
  • Keywords
    Computational modeling; Couplings; Induction machines; Induction motors; Nonlinear equations; Power system modeling; Power system stability; Power system transients; Reduced order systems; Stator windings;
  • fLanguage
    English
  • Journal_Title
    Energy Conversion, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8969
  • Type

    jour

  • DOI
    10.1109/TEC.1986.4765739
  • Filename
    4765739