• DocumentCode
    2776389
  • Title

    Research for approximation algorithm of high-frequency model of transformer windings

  • Author

    Xin-peng, Nie ; Ping, Zhang ; You-hua, Wang ; Hai-jiao, Zhang

  • Author_Institution
    Electr. & Autom. Inst., Hebei Univ. of Technol., Tianjin, China
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    5502
  • Lastpage
    5506
  • Abstract
    To obtain order-reduced model of high-frequency transformer windings, firstly voltage transfer functions are derived from short-circuit admittance parameters which are calculated from the distributed parameters or measured parameters of transformer windings in this paper. Secondly, voltage transfer functions are fitted with rational functions by vector fitting method. Lastly common Pade algorithm, Routh algorithm and optimal Pade approximation algorithm are order-reduced for rational voltage transfer functions to obtain approximate model of transformer windings. Simulation results show optimal Pade approximation algorithm not only can reserve main magnitude-phase characteristics of high-frequency model, but also can simplify high-frequency model. So this algorithm is the fittest algorithm for gaining order-reduced model at present.
  • Keywords
    Routh methods; approximation theory; high-frequency transformers; transfer functions; transformer windings; Routh algorithm; high-frequency transformer windings; optimal Pade approximation algorithm; short-circuit admittance parameters; vector fitting method; voltage transfer functions; Admittance measurement; Approximation algorithms; Automation; Sulfur hexafluoride; Transfer functions; Windings; Vector Fitting method; high-frequency model; order-reduction algorithm; voltage transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2009. CCDC '09. Chinese
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-2722-2
  • Electronic_ISBN
    978-1-4244-2723-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2009.5191590
  • Filename
    5191590