• DocumentCode
    135173
  • Title

    Application of FRA polar plot technique to diagnose internal faults in power transformers

  • Author

    Aljohani, O. ; Abu-Siada, A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Curtin Univ., Perth, WA, Australia
  • fYear
    2014
  • fDate
    27-31 July 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Frequency response analysis (FRA) technique has become a popular and reliable diagnostic tool in detecting various winding deformation in power transformers. Although the popularity of FRA is growing rapidly, interpretation of FRA signature requires high expertise. While all frequency response analyzers currently used for FRA signature measurement are capable in plotting both magnitude and angle of either the transfer function or impedance of each transformer winding, only magnitude is used for fault identification and quantification. This paper presents a new technique for FRA signature interpretation. The proposed technique relies on incorporating both magnitude and angle of the FRA signature in one polar plot. Results show that, polar plot is more capable in identifying and quantifying faults within power transformer than using only the magnitude of FRA signature. The proposed technique is easy to implement in any frequency response analyzer.
  • Keywords
    fault diagnosis; frequency response; power transformers; sensitivity analysis; transformer windings; FRA polar plot technique; FRA signature interpretation; diagnostic tool; fault identification; fault quantification; frequency response analysis; internal faults; power transformers; transformer winding; Capacitance; Circuit faults; Educational institutions; Frequency response; Power transformer insulation; Windings; Condition monitoring; Frequency response analysis; Polar plot; Power transformer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PES General Meeting | Conference & Exposition, 2014 IEEE
  • Conference_Location
    National Harbor, MD
  • Type

    conf

  • DOI
    10.1109/PESGM.2014.6939160
  • Filename
    6939160