• DocumentCode
    1774736
  • Title

    Research and application on power grid contamination flashover pre-warning technology

  • Author

    Song Gao ; Zhicheng Zhou ; Haibo Jiang ; Liming Wang

  • Author_Institution
    Jiangsu Electr. Power Co. Res. Inst., Nanjing, China
  • fYear
    2014
  • fDate
    23-26 Sept. 2014
  • Firstpage
    1654
  • Lastpage
    1659
  • Abstract
    The thesis presents the contamination flashover voltage forecast model with the maximum leakage current, ambient temperature, humidity and other multi parameters on the basis of the research conclusion on insulator string contamination characteristics, so as to realize the online monitoring and evaluation on the contamination condition of the power grid. It comprehensively takes the calculation results of 50% contamination flashover probability and the future climate change trend factors into account to establish the power grid contamination pre-warning system, which has been applied to several power transmission channels in Jiangsu power grid and has successfully warned against the potential danger of 500kV No.5298 Line contamination flashover and achieved the excellent effect.
  • Keywords
    flashover; leakage currents; power grids; power system measurement; power transmission; Jiangsu power grid; climate change trend factors; contamination flashover probability; contamination flashover voltage forecast model; insulator string contamination; leakage current; line contamination flashover; online monitoring; power grid contamination flashover pre-warning technology; power transmission channels; voltage 500 kV; Abstracts; Batteries; Battery charge measurement; Contamination; Current measurement; Monitoring; Power measurement; Climate forecast; Contamination pre-warning system; Flashover voltage forecast; Leakage current; Power distribution reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electricity Distribution (CICED), 2014 China International Conference on
  • Conference_Location
    Shenzhen
  • Type

    conf

  • DOI
    10.1109/CICED.2014.6991987
  • Filename
    6991987