• DocumentCode
    2483116
  • Title

    Fault location on transmission line using maximum correlation coefficient method

  • Author

    Zhong Zheng ; Jianyin Liu ; Hong Yu

  • Author_Institution
    State Key Lab. for Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Beijing, China
  • fYear
    2012
  • fDate
    14-17 Oct. 2012
  • Firstpage
    226
  • Lastpage
    229
  • Abstract
    In recent years, traveling wave method has been widely used in transmission line fault location and widely recognized. It is important to improve the performance of measuring equipment to reduce the systematic errors, but innovative computational method to eliminate the calculation errors is equally important. There are mainly two ways in the calculation of traveling wave method fault location, the wavelets analysis method and the correlation coefficient method. According to some literatures, the latter is more accuracy than the former. When calculated in this way, we encountered some difficulties. So the authors introduced their new maximum correlation coefficient method to make calculation, in order to find out the most suitable length of comparison points and get the most accurate positioning results. After an experiment of adding 60db white Gauss noise to the simulation data, the accuracy of this method still holds, that will be a tremendous progress in traveling wave position calculation.
  • Keywords
    Gaussian noise; power transmission faults; power transmission lines; wavelet transforms; maximum correlation coefficient method; measuring equipment; systematic error reduction; transmission line fault location; traveling wave method; wavelet analysis; white Gauss noise; Accuracy; Fault location; Noise; Power transmission lines; Transmission line measurements; Voltage measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Insulation and Dielectric Phenomena (CEIDP), 2012 Annual Report Conference on
  • Conference_Location
    Montreal, QC
  • ISSN
    0084-9162
  • Print_ISBN
    978-1-4673-1253-0
  • Electronic_ISBN
    0084-9162
  • Type

    conf

  • DOI
    10.1109/CEIDP.2012.6378762
  • Filename
    6378762