• DocumentCode
    2197909
  • Title

    Optimization-enabled electromagnetic transient simulation

  • Author

    GoIe, A. ; Filizadeh, Shaahin ; Menzies, Robert ; Wilson, P.

  • Author_Institution
    Manitoba Univ., Man., Canada
  • fYear
    2004
  • fDate
    6-10 June 2004
  • Abstract
    Summary form only given. Electromagnetic transient simulation programs (EMTP-type programs) are powerful tools for the study of a wide range of power system transient problems. This paper introduces a novel tool in which an EMTP-type program becomes the objective function evaluator for a non-linear optimization algorithm. In this approach, the non-linear optimization program is given control to perform several consecutive runs with a view to minimizing (or maximizing) the desired objective function, which is computed from the results of each simulation run. Since the optimization algorithm strategically selects the parameters for the EMTP run, the overall design process is orders of magnitude faster than that possible from sequential or random (Monte-Carlo type) multiple-runs of the EMTP-type program. The paper discusses the mechanics of the interface as well as design of objective functions. The power of the proposed method is demonstrated through two examples for the design of power electronic converters.
  • Keywords
    EMTP; Monte Carlo methods; optimisation; power convertors; power system transients; EMTP; Monte-Carlo type; electromagnetic transient simulation program; nonlinear optimization algorithm; power electronic converter; power system transient problem; Algorithm design and analysis; Computational modeling; Design optimization; EMTP; HVDC transmission; Power electronics; Power system simulation; Power system transients; Process design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2004. IEEE
  • Conference_Location
    Denver, CO
  • Print_ISBN
    0-7803-8465-2
  • Type

    conf

  • DOI
    10.1109/PES.2004.1373019
  • Filename
    1373019