• DocumentCode
    2510216
  • Title

    A new method of fault location for 35KV distribution network based on the equivalent load to ground

  • Author

    Shu, Tian ; Xiaowei, Wang ; Juanjuan, Wang

  • Author_Institution
    Sch. of Electr. Eng. & Autom., Henan Polytech. Univ., Jiaozuo, China
  • fYear
    2011
  • fDate
    23-25 May 2011
  • Firstpage
    87
  • Lastpage
    91
  • Abstract
    It installed the monitoring devices with a certain distance in the 35 KV line to determine accurately the fault location in this paper, the load units were grounded with taking into account the actual operating conditions of load by the ATP simulation. It found that the transient power waveforms of healthy section were very similar in the same side of fault point by the simulation, while the similarity of fault section was poor in the both sides of fault point. So the correlation coefficient was introduced to evaluate the relationship, when the similarity is high, the value of correlation coefficient is larger, on the contrary, the value of correlation coefficient is smaller when the similarity is low. Therefore, it can compare the value calculated with the threshold value preset of main station to determine accurately the fault location. The principle of this method is simple, and the data uploaded is small, so it is convenient to determine quickly the fault location.
  • Keywords
    computerised monitoring; correlation methods; earthing; fault location; power distribution faults; power engineering computing; transient analysis; ATP simulation; correlation coefficient; distribution network; fault location; fault point; fault section; load earthing; load unit; monitoring device; threshold value; transient power waveform; Automation; Circuit faults; Correlation; Fault location; Power systems; Transient analysis; fault location; load earthing; main station; transient power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2011 Chinese
  • Conference_Location
    Mianyang
  • Print_ISBN
    978-1-4244-8737-0
  • Type

    conf

  • DOI
    10.1109/CCDC.2011.5968151
  • Filename
    5968151