• DocumentCode
    3264604
  • Title

    An accurate fault location algorithm for transmission lines with use of two-end unsynchronized measurements

  • Author

    Ben Hessine, Moez ; Marrouchi, Sahbi ; Chebbi, Souad

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Tunis, Tunis, Tunisia
  • fYear
    2015
  • fDate
    10-13 June 2015
  • Firstpage
    1345
  • Lastpage
    1350
  • Abstract
    This paper present a novel fault location algorithm for Extra High Voltage transmission lines based on unsynchronized data generated from two-end of the line. Only post-fault currents and voltages at both ends of the line are required to estimate the synchronization angle and the exact distance to fault. First, a mathematical development is presented for estimated the synchronization angle. Then, the fault location is determined for balanced and unbalanced faults. The proposed algorithm is independent of pre-fault measurements data and all fault conditions. The performance evaluation of the proposed algorithm is tested under different fault scenarios using digital simulation through Matlab software. Simulation results indicate the high accuracy of the proposed algorithm.
  • Keywords
    fault currents; fault location; power transmission faults; power transmission lines; synchronisation; Matlab software; extrahigh voltage transmission line; fault condition; fault location algorithm; post-fault current; prefault measurement data; synchronization angle estimation; two-end unsynchronized measurement; Circuit faults; Fault location; Mathematical model; Power transmission lines; Radio frequency; Synchronization; Transmission line measurements; Transmission line; fault location; synchronization angle; two-end unsynchronized measurements;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environment and Electrical Engineering (EEEIC), 2015 IEEE 15th International Conference on
  • Conference_Location
    Rome
  • Print_ISBN
    978-1-4799-7992-9
  • Type

    conf

  • DOI
    10.1109/EEEIC.2015.7165365
  • Filename
    7165365