• DocumentCode
    473236
  • Title

    Fault Location Algorithm Based on Cross Correlation Method for HVDC Cable Lines

  • Author

    Young-Jin Kwon ; Sang-Hee Kang ; Dong-Gyu Lee ; Hyung-Kyu Kim

  • Author_Institution
    Next-generation Power Technol. Center, Myongji Univ., Seoul
  • fYear
    2008
  • fDate
    17-20 March 2008
  • Firstpage
    360
  • Lastpage
    364
  • Abstract
    In this paper, a fault location algorithm using travelling waves and a cross correlation method is proposed for HVDC cable lines. The arriving instants of the first fault-induced transient backward travelling wave and its subsequent reflected wave can be detected by using a cross correlation method. The fault distance is estimated by using the time difference between the two instants of incident waves and the velocity of the travelling wave. Because the fault-induced backward wave is much similar to a square wave when a fault occurs in the HVDC cable lines, a kind of step function is used as the reference function for the cross correlation in this paper. The proposed algorithm was verified with varying fault distances and fault resistances in submarine HVDC cables connected to the current source converter (CSC) type HVDC system and the voltage source converter (VSC) type HVDC system respectively.
  • Keywords
    HVDC power transmission; correlation methods; fault location; power system transients; power transmission faults; power transmission lines; power transmission protection; submarine cables; backward travelling waves; cross correlation method; current source converter; fault distance estimation; fault location algorithm; fault resistances; fault-induced transient; step function; submarine HVDC cable lines; voltage source converter; Correlation; Fault location; HVDC transmission; Power cables; Reflection; Resistance; Surges;
  • 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
    4497012