• DocumentCode
    3399462
  • Title

    Location Algorithm for Partial Discharge Based on Radio Frequency (RF) Antenna Array

  • Author

    Miao, Peiqing ; Li, Xiuwei ; Hou, Huijuan ; Sheng, Gehao ; Hu, Yue ; Jiang, Xiuchen

  • Author_Institution
    Shandong Electr. Power Res. Inst., Shandong Electr. Power Co., Jinan, China
  • fYear
    2012
  • fDate
    27-29 March 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The measurement and diagnosis partial discharge (PD) is accepted as one of the most valuable means for assessing the quality of high voltage (HV) power apparatus and cables. Different insulation system has a different discharge mechanism. At present, in the quality of high pressure component testing, the partial discharge and insulation defect of the relationship has become very important standard. Therefore, whether bureau put data identification (partial discharge pulse shape, bureau put data and pulse shape distribution density of statistical parameter) or bureau put classification analysis (statistical algorithms or neural network), will change from traditional identification methods for automatic identification. This paper describes the principles of calculating signal starting time through energy accumulation method and the location algorithm based on time difference. And the Newton algorithm and network search methods to solve the nonlinear equations are given. Finally, we define 3-D coordinate system by four antennas arrays, and calculate the coordinate of the PD location, and prove the algorithm above by lab simulation and locale measurement.
  • Keywords
    Newton method; antenna arrays; neural nets; nonlinear equations; partial discharge measurement; power apparatus; power cables; statistical analysis; 3-D coordinate system; Newton algorithm; PD location; assessing the quality of; automatic identification; classification analysis; energy accumulation method; high pressure component testing; high voltage power apparatus; high voltage power cables; insulation system; location algorithm; network search methods; neural network; nonlinear equations; partial discharge pulse shape; pulse shape distribution density; radio frequency antenna array; statistical algorithms; statistical parameter; traditional identification methods; Antennas; Electromagnetic scattering; Equations; Mathematical model; Partial discharges; Substations; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
  • Conference_Location
    Shanghai
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4577-0545-8
  • Type

    conf

  • DOI
    10.1109/APPEEC.2012.6307662
  • Filename
    6307662