• DocumentCode
    3090170
  • Title

    Estimation of Fault Location on Distribution Feeders using PQ Monitoring Data

  • Author

    Kim, Jinsang ; Baran, Mesut E. ; Lampley, Glenn C.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., NC State Univ., Raleigh, NC
  • fYear
    2007
  • fDate
    24-28 June 2007
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper investigates the challenges in the extraction of fault data (fault current magnitude and type) for fault location application based on actual field data and proposes a procedure for practical implementation. The proposed scheme is implemented as a stand-alone software program, and is tested using actual field data collected at distribution substations and the results are compared with results of the state-of-the-art software package currently used in a utility.
  • Keywords
    distribution networks; fault location; power system measurement; substations; PQ monitoring data; distribution feeders; distribution substations; fault location; field data; stand-alone software program; Artificial neural networks; Circuit breakers; Circuit faults; Data mining; Fault currents; Fault location; Fuses; Monitoring; Protection; Substations; Distribution fault location; distribution feeder monitoring; distribution power quality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2007. IEEE
  • Conference_Location
    Tampa, FL
  • ISSN
    1932-5517
  • Print_ISBN
    1-4244-1296-X
  • Electronic_ISBN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PES.2007.385635
  • Filename
    4275244