• DocumentCode
    1499708
  • Title

    Accurate Noniterative Fault-Location Algorithm Utilizing Two-End Unsynchronized Measurements

  • Author

    Izykowski, Jan ; Rosolowski, Eugeniusz ; Balcerek, Przemyslaw ; Fulczyk, Marek ; Saha, Murari Mohan

  • Author_Institution
    Wroclaw Univ. of Technol., Wroclaw, Poland
  • Volume
    26
  • Issue
    2
  • fYear
    2011
  • fDate
    4/1/2011 12:00:00 AM
  • Firstpage
    547
  • Lastpage
    555
  • Abstract
    This paper presents a new two-terminal impedance-based fault-location algorithm, which takes into account the distributed parameter line model. The algorithm utilizes unsynchronized measurements of voltages and currents from two ends of a line and is formulated in terms of the fundamental frequency phasors of symmetrical components of the measured signals. First, an analytical synchronization of the unsynchronized measurements is performed with use of the determined synchronization operator. Then, the distance to fault is calculated as for the synchronized measurements. Simultaneous usage of two kinds of symmetrical components for determining the synchronization operator makes that the calculations are simple, noniterative, and at the same time highly accurate. The developed fault-location algorithm has been thoroughly tested using signals of Alternate Transients Program-Electromagnetic Transients Program versatile simulations of faults on a transmission line. The presented evaluation shows the validity of the developed fault-location algorithm and its high accuracy.
  • Keywords
    fault location; power transmission lines; Alternate Transients Program; Electromagnetic Transients Program; distributed parameter line model; fundamental frequency phasors; noniterative fault-location algorithm; transmission line faults; two-end unsynchronized measurements; Algorithms; digital measurements; fault location; power transmission lines; simulation;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2009.2031440
  • Filename
    5286323