• DocumentCode
    2929226
  • Title

    Distribution System Fault Location Considering Voltage Sag Characteristics

  • Author

    Zheng, Tianwen ; Xiao, Xianyong ; Wang, Ying ; Zhang, Wenhai

  • Author_Institution
    Coll. of Electr. Eng. & Inf. Technol., Sichuan Univ., Chengdu, China
  • fYear
    2011
  • fDate
    25-28 March 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A new on-line fault location method is proposed based on the voltage sag characteristics resulted by different faults in the power systems. Only the voltage sag measured at single end is used to locate the fault. For a given distribution system, construct a simulation model to obtain faulted section locating function and fault distance calculating function of the network. When a real short circuit fault occurs, based on the voltage waveforms or data captured from the bus, calculate the voltage sag magnitude and phase shift of the second cycle after the fault, then substitute these two values into the simulation databases, the faulted branch and the fault distance will be determined through pattern recognition technique and equation solving method respectively. Through simulating for 10 kV distribution network with bolted and non-bolted fault, it proves the method´s accuracy and reliability.
  • Keywords
    distribution networks; fault location; pattern recognition; power distribution faults; power engineering computing; power supply quality; short-circuit currents; distribution network; distribution system fault location; fault distance calculating function; faulted section locating function; online fault location method; pattern recognition technique; power systems; short circuit fault; voltage 10 kV; voltage sag characteristics; voltage waveforms; Circuit faults; Databases; Fault location; Impedance; Mathematical model; Power systems; Voltage fluctuations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
  • Conference_Location
    Wuhan
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4244-6253-7
  • Type

    conf

  • DOI
    10.1109/APPEEC.2011.5748505
  • Filename
    5748505