• DocumentCode
    135098
  • Title

    Detection of minor axial winding movement within power transformers using finite element modeling

  • Author

    Zhang, Z.W. ; Tang, W.H. ; Wu, Q.H. ; Yan, J.D.

  • Author_Institution
    Dept. of Electr. Eng. & Electron., Univ. of Liverpool, Liverpool, UK
  • fYear
    2014
  • fDate
    27-31 July 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In order to estimate effective frequency-dependent inductances of transformer windings considering diamagnetic properties, this paper presents an accurate computational model of a transformer, using finite-element method (FEM). Therefore, accurate frequency dependent inductances can be applied into a winding model for frequency response analysis (FRA). This research uses a hybrid winding model to investigate minor axial winding movement in both low (<;1 MHz) and high frequency ranges. Meanwhile, FEM models with respect to several scenarios of minor axial winding movement are constructed, so that corresponding inductances in accordance with specific cases can be obtained by FEM. Therefore, the influence of variations of electrical parameters can be taken into account for FRA in broad frequency ranges. Three scenarios of minor axial winding movement are analyzed in simulation studies.
  • Keywords
    finite element analysis; frequency response; power transformers; transformer windings; FEM models; FRA; effective frequency-dependent inductance estimation; electrical parameter variations; finite element modeling; finite-element method; frequency response analysis; hybrid winding model; minor axial winding movement detection; power transformers; Capacitance; Computational modeling; Finite element analysis; Frequency response; Inductance; Power transformers; Windings; Finite-element method; frequency response analysis; minor axial winding movement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PES General Meeting | Conference & Exposition, 2014 IEEE
  • Conference_Location
    National Harbor, MD
  • Type

    conf

  • DOI
    10.1109/PESGM.2014.6939120
  • Filename
    6939120