• DocumentCode
    2925413
  • Title

    UHF PD Online Monitoring of Huge-Size Transformers and Data Analysis

  • Author

    Yuan, Wan ; Chuangli, Gong ; Zhipeng, Wei ; Pengcheng, Deng

  • Author_Institution
    China Inst. of Water Resources & Hydropower Res., Beijing, China
  • fYear
    2011
  • fDate
    19-20 Feb. 2011
  • Firstpage
    2375
  • Lastpage
    2378
  • Abstract
    It is widely accepted that failures due to insulation defects are often preceded by some form of PD activities in HV equipments. This paper describes practical application of the UHF PD detection on a new oil-immersed power transformer. An internal UHF sensor was designed and installed to the transformer for insulation condition assessment. As the frequency band of this UHF sensor was 300~1500 MHz, envelope detection technique was used to extract UHF signals excited from PD sources inside the transformer. The results of MATLAB simulation and experimental measurements have shown that UHF PD signals can be effectively extracted by this method. Using the monitoring system established in this paper, typical UHF PD patterns were recorded during PD acceptance test, which reveal that UHF PD measurements can detect small level of discharges with good sensitivity. Finally, online monitoring data including strong external disturbances such as lightning strikes, switching operation pulses was studied.
  • Keywords
    UHF antennas; data analysis; partial discharges; power transformer insulation; HV equipments; MATLAB simulation; PD acceptance test; UHF PD online monitoring; UHF signals; data analysis; envelope detection technique; huge-size transformers; oil-immersed power transformer; Discharges; Monitoring; Oil insulation; Partial discharges; Power transformer insulation; Switches; UHF antenna; envelope detection; online monitoring; partial discharge; rtransformer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM), 2011 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-61284-278-3
  • Electronic_ISBN
    978-0-7695-4350-5
  • Type

    conf

  • DOI
    10.1109/CDCIEM.2011.338
  • Filename
    5748301