• DocumentCode
    483159
  • Title

    Fast time-domain algorithm of very fast transient in power transformer windings with wound-in-shields

  • Author

    Liang, Guishu ; Dong, Huaying ; Liu, Xin ; Zhang, Xile

  • Author_Institution
    Sch. of Electr. Eng., North China Electr. Power Univ., Baoding
  • fYear
    2008
  • fDate
    17-20 Oct. 2008
  • Firstpage
    4370
  • Lastpage
    4374
  • Abstract
    In order to calculate the overvoltage of transformer windings under the very fast transient overvoltages (VFTOs) more efficiently, a fast time-domain algorithm is presented based on the compact finite difference (CFD) and the backward differentiation formulas (BDF) in this paper, in which a hybrid model is used consisting of multi-conductor transmission-line (MTL) and equivalent frequency-dependent lumped impedance. By means of CFD and vector fitting (VF), the MTL telegrapherpsilas equations with frequency-dependent parameters are discretized spatially, and the lumped impedance is converted into state equations. The resulting equations are solved by the backward differentiation formulas. Because of the small segment number in the CFD and the high precision of VF, the proposed algorithm can calculate the overvoltage along the windings much more efficiently than traditional frequency-domain algorithm and the result is verified by measurements of the winding model.
  • Keywords
    overvoltage; power transformers; transformer windings; backward differentiation formulas; compact finite difference; fast time-domain algorithm; multi-conductor transmission-line; power transformer windings overvoltage; telegrapherpsilas equations; very fast transient overvoltages; wound-in-shields; Computational fluid dynamics; Equations; Finite difference methods; Frequency; Impedance; Power transformers; Time domain analysis; Transmission lines; Voltage control; Windings;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems, 2008. ICEMS 2008. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3826-6
  • Electronic_ISBN
    978-7-5062-9221-4
  • Type

    conf

  • Filename
    4771563