• DocumentCode
    725531
  • Title

    Leakage inductance variation based monitoring of transformer winding deformation

  • Author

    Xiaojing Zhang ; Zhiguo Hao ; GuoZhen Chen ; Zhi Sun ; Fei He ; SuJuan Sun ; Peng Wu

  • Author_Institution
    Sch. of Electr. Eng., Xi´an Jiaotong Univ., Xi´an, China
  • fYear
    2015
  • fDate
    10-13 June 2015
  • Firstpage
    1759
  • Lastpage
    1764
  • Abstract
    When subjected to short circuit, the transformer winding would suffer from considerable large electromagnetic force and then be distorted to a certain degree, in which cases leakage inductance variation can be employed to analyze and determine the situation and severity of the deformation. In this paper, the transformer leakage inductance identification model is set up on the basis of equivalent circuit equation. Least squares identification method is used to identify leakage inductance. Transverse and longitudinal comparison method are used in this paper to obtain the leakage inductance variation, and then comprehensive judgment of winding deformation is available. Moreover leakage inductance variation based transformer winding deformation monitoring system is introduced, which make it passible to apply this method to practice. In the end, practical applicability is validated by PSCAD simulation results and the data from the field.
  • Keywords
    electromagnetic forces; equivalent circuits; monitoring; transformer windings; electromagnetic force; equivalent circuit equation; leakage inductance variation based monitoring; transformer winding deformation; Current transformers; Inductance; Mathematical model; Monitoring; Oil insulation; Parameter estimation; Windings; detection system; leakage inductance; longitudinal comparison method; transformer; transverse comparison method; winding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environment and Electrical Engineering (EEEIC), 2015 IEEE 15th International Conference on
  • Conference_Location
    Rome
  • Print_ISBN
    978-1-4799-7992-9
  • Type

    conf

  • DOI
    10.1109/EEEIC.2015.7165438
  • Filename
    7165438