• DocumentCode
    378201
  • Title

    Analysis and identification of HVDC system faults using wavelet modulus maxima

  • Author

    Shang, L. ; Herold, G. ; Jaeger, J. ; Krebs, R. ; Kumar, A.

  • Author_Institution
    Friedrich-Alexander Univ. of Erlangen-Nuremberg, Erlangen, Germany
  • fYear
    2001
  • fDate
    28-30 Nov. 2001
  • Firstpage
    315
  • Lastpage
    320
  • Abstract
    In this paper, different HVDC system faults are analysed and the rationing criteria based on wavelet modulus maxima for the identification of the HVDC system faults are proposed. The simulation results are discussed. The results show that the application of wavelet technique leads to a proper and more reliable solution for fault identification. The results also provide a good basis for the new high-speed protection of HVDC lines.
  • Keywords
    HVDC power transmission; power system identification; power transmission faults; power transmission protection; wavelet transforms; HVDC lines high-speed protection; HVDC system faults identification; rationing criteria; simulation results; wavelet modulus maxima;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    AC-DC Power Transmission, 2001. Seventh International Conference on (Conf. Publ. No. 485)
  • ISSN
    0537-9989
  • Print_ISBN
    0-85296-745-4
  • Type

    conf

  • DOI
    10.1049/cp:20010562
  • Filename
    988429