• DocumentCode
    1693268
  • Title

    Fault location in distribution networks using Prony analysis

  • Author

    Tang JinRui ; XiangGen, Yin ; Zhe, Zhang ; ZhiQin, He ; Lei, Ye ; Wang Yuxue

  • Author_Institution
    State Key Lab. of Adv. Electromagn. Eng. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • Volume
    1
  • fYear
    2011
  • Firstpage
    54
  • Lastpage
    59
  • Abstract
    This paper proposes a new fault location method in distribution networks using Prony analysis. This method just needs the measured voltage transients without multi-recording nodes. Fault-originated traveling waves propagate along the distribution network and reflect at the discontinuity points, so the recorded transients contain some characteristic frequencies associated with specific paths, which can reveal the fault position. Firstly, model and simulate the distribution network using PSCAD/EMTDC to get the recorded signals associated with the typical fault positions. Secondly, extract the frequencies of the recorded signal using Prony analysis to generate the database for fault location. Finally, the real fault-originated signal will be analyzed to locate the fault point by searching the database for fault location based the matching rule. The matching rule is the least squares between the frequencies of the real fault-originated signal and the frequencies corresponding one typical fault position in the database. The simulation results demonstrate that the method is practical, reliable and effective.
  • Keywords
    least squares approximations; power distribution faults; PSCAD-EMTDC; Prony analysis; distribution networks; fault location; fault-originated signal; fault-originated traveling waves; least squares; matching rule; multirecording nodes; voltage transients; Circuit faults; Databases; Fault location; Power systems; Time frequency analysis; Transient analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Power System Automation and Protection (APAP), 2011 International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-9622-8
  • Type

    conf

  • DOI
    10.1109/APAP.2011.6180384
  • Filename
    6180384