• DocumentCode
    508187
  • Title

    Realization of Single-Phase Ground Fault Line Selection by Self-Adaptive Choice of Decomposition Scale in Distribution Network

  • Author

    Jing, Gong ; Yingzi, Li

  • Author_Institution
    Beijing Univ. of Civil Eng. & Archit. BUCEA, Beijing, China
  • Volume
    2
  • fYear
    2009
  • fDate
    16-18 Oct. 2009
  • Firstpage
    201
  • Lastpage
    204
  • Abstract
    When single-phase ground fault occurring in distribution network, decomposition scale in which each feeder modulus maximum locate has much difference, because of the complexity of transient component and the effect of system parameter and fault mode. Matrix Mij of modulus maximum is constituted according to each scale maximum value after decomposing zero sequence current by Coiflet4 wavelet. If the modulus maximum of each line correspond the same scale, this scale will be identified as the characteristic scale. Otherwise the scale in which square sum of column vector element is maximal will be identified as the characteristic scale. For comparing of modulus maximum, the concept of ¿fault probability¿ is introduced and fault probability formula is defined. Practical criteria are given, which select fault line in digital quantification way. Self-adaptive choice of decomposition scale solves the problem of wrong judgment by reason of scale selection wrong due to complex transient component. Simulation experiments prove that this method is effective and credible.
  • Keywords
    fault location; power distribution faults; decomposition scale; digital quantification way; distribution network; fault probability formula; feeder modulus maximum; matrix Mij; self-adaptive choice; single-phase ground fault line selection; transient component; zero sequence; Attenuation; Civil engineering; Continuous wavelet transforms; Fault detection; Frequency; Interference; Matrix decomposition; Wavelet analysis; Wavelet coefficients; Wavelet transforms; decomposition scale; fault line selection; modulus maximum matrix; singular detection; wavelet transformation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy and Environment Technology, 2009. ICEET '09. International Conference on
  • Conference_Location
    Guilin, Guangxi
  • Print_ISBN
    978-0-7695-3819-8
  • Type

    conf

  • DOI
    10.1109/ICEET.2009.286
  • Filename
    5365893