• DocumentCode
    270437
  • Title

    Determining of fault location with Hilbert - Huang transformation on XLPE cables between land and offshore substations

  • Author

    Bernadić, Alen ; Leonowicz, Z.

  • Author_Institution
    Fac. of Electr. Eng., Mech. Eng., Naval Archit. in Split, Split, Croatia
  • fYear
    2014
  • fDate
    10-12 May 2014
  • Firstpage
    61
  • Lastpage
    64
  • Abstract
    Using of mathematical transformations and digital signal processing (DSP) methods of recorded voltage and currents in power systems in order to extract important informations about physical processes is already known. Higher measuring resolutions and massive introduction of PMU devices in the power systems allows appliance of DSP - based fault location methods in complex power networks. High availability of power systems is required in the modern societies. Fast fault location algorithms and consequent fast repairing of faults is necessary condition for high availability of power networks. Here represented numerical procedure for fault location is testing of method already introduced in scientific papers on complex configuration of power network consists of XLPE underground submarine and land cables between land and offshore substation connecting large wind park with main power system.
  • Keywords
    Hilbert transforms; XLPE insulation; fault location; submarine cables; substations; Hilbert Huang transformation; XLPE cables; digital signal processing methods; fault location; land substations; mathematical transformations; offshore substations; submarine cables; Fault location; Power cables; Substations; Testing; Underwater vehicles; Voltage measurement; DSP; Fault location; HHT; Offshore substation; Wind park; XLPE;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environment and Electrical Engineering (EEEIC), 2014 14th International Conference on
  • Conference_Location
    Krakow
  • Print_ISBN
    978-1-4799-4661-7
  • Type

    conf

  • DOI
    10.1109/EEEIC.2014.6835837
  • Filename
    6835837