• DocumentCode
    473277
  • Title

    Evaluation of Travelling Wave Fault Location Based on Field Measurements

  • Author

    El Haffar, A. ; Lehtonen, Matti

  • Author_Institution
    Dept. of Electr. Eng., Helsinki Univ. of Technol., Helsinki
  • fYear
    2008
  • fDate
    17-20 March 2008
  • Firstpage
    601
  • Lastpage
    605
  • Abstract
    Travelling wave recorders (TWRs) are used throughout the world to accurately find the location of different faults in transmission networks. In this paper, TWR signals are recorded and the minimum travel time of the travelling wave has been calculated considering shortest path algorithm to select the nearest TWR to the faulted line. Digital wavelet transform (DWT) is used to find the details at several high frequency bands of the travelling wave signals. The best selection from several mother wavelets was used to decompose the fault transient signal and extract the feature vector. The fault location is determined by accurately time- tagging the arrival of the travelling wave at the monitored substations and comparing the time difference to the total propagation time of the lines. A small number of fault cases from the Finnish transmission network have been analysed. Comparing the simulated and recorded fault cases, the algorithm gives a good results and the method can be applied using the minimum number of TWR in the transmission network.
  • Keywords
    fault location; substations; wavelet transforms; digital wavelet transform; fault transient signal; feature vector extraction; field measurements; monitored substations; transmission network; travelling wave fault location methods; travelling wave recorders; Current transformers; Discrete wavelet transforms; Fault location; Time frequency analysis; Transient analysis; Transmission line measurements; Wires;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Developments in Power System Protection, 2008. DPSP 2008. IET 9th International Conference on
  • Conference_Location
    Glasgow
  • ISSN
    0537-9989
  • Print_ISBN
    978-0-86341-902-7
  • Type

    conf

  • Filename
    4497054