• DocumentCode
    26709
  • Title

    Transformer winding deformation diagnostic system using online high frequency signal injection by capacitive coupling

  • Author

    Yao, Chuting ; Zhao, Zhen ; Chen, Yuanfeng ; Zhao, Xingang ; Li, Zuyi ; Wang, Yannan ; Zhou, Zhengchun ; Wei, Gao

  • Author_Institution
    State Key Laboratory of Power Transmission Equipment & System Security and New Technology College of Electrical Engineering, Chongqing University Chongqing 400030, China
  • Volume
    21
  • Issue
    4
  • fYear
    2014
  • fDate
    Aug-14
  • Firstpage
    1486
  • Lastpage
    1492
  • Abstract
    Transformer winding deformation is common among all sorts of transformer failures. Cumulative deformation can eventually burgeon into catastrophic faults and result in entire network outage. It is possible to detect the early signs of faults with continuous online monitoring transformer. However, frequency response analysis (FRA) is considered to be a useful and accurate tool for sufficient detection. This paper aims at proposing a novel diagnostic system for online monitoring power transformer winding deformation based on FRA. In order to realize online monitoring transformer winding, the system uses the capacitive coupling method to inject controllable nanosecond pulses, which function as the excitation signal of winding, and to obtain the response signal. This proposed method may extend frequency range for analysis and perhaps could early detect minor winding movement and looseness. Transformer experiments show great prospect in the application of the system.
  • Keywords
    Frequency measurement; Frequency response; Generators; Insulators; Monitoring; Power transformers; Windings; Transformer; capacitive coupling.; controllable pulse; frequency response analysis; onlinemonitoring; winding deformation;
  • fLanguage
    English
  • Journal_Title
    Dielectrics and Electrical Insulation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1070-9878
  • Type

    jour

  • DOI
    10.1109/TDEI.2014.004283
  • Filename
    6877974