• DocumentCode
    27514
  • Title

    Radio interference excitation function of conductor bundles based on cage test results and comparison with long-term data

  • Author

    Wang-ling He ; Jun-jia He ; Bao-quan Wan ; Yu-chao Chen ; Chun-ming Pei ; Jian-gong Zhang ; Jin Zhang

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • Volume
    9
  • Issue
    5
  • fYear
    2015
  • fDate
    8 2015
  • Firstpage
    621
  • Lastpage
    627
  • Abstract
    A reasonable excitation function is vital to make a precise evaluation about the radio interference (RI) level of ultra-high-voltage (UHV) AC power lines. To obtain this function, a large number of RI measurements in heavy rain condition were done using different conductor bundles in a corona cage. Then, the excitation function in heavy rain condition was obtained by least-square fitting these measured values. After that, the validity of this function was verified with the statistical data measured from the Hubei long-term station, which is located under the operating 1000 kV Jindongnan-Nanyang-Jingmen UHV AC transmission lines. It turns out that the deviation between the prediction and the long-term average value is 1.1 dB in heavy rain condition, and 1.3 dB in fair weather condition. In addition, the long-term data measured in Hubei Station show that the conversion laws of RI at different weather conditions in International Special Committee on Radio Interference (CISPR)18 are also applicable to 1000 kV UHV transmission lines.
  • Keywords
    conductors (electric); curve fitting; flexible AC transmission systems; interference suppression; least mean squares methods; power transmission lines; radiowave propagation; CISPR18; RI measurement; UHV AC power transmission lines; conductor bundle; corona cage; heavy rain condition; least square fitting; radio interference excitation function; statistical data measurement; voltage 1000 kV; weather conditions;
  • fLanguage
    English
  • Journal_Title
    Science, Measurement & Technology, IET
  • Publisher
    iet
  • ISSN
    1751-8822
  • Type

    jour

  • DOI
    10.1049/iet-smt.2014.0224
  • Filename
    7172612