• DocumentCode
    3513638
  • Title

    Fault Location in Power Distribution Systems using ANFIS Nets and Current Patterns

  • Author

    Mora, J.J. ; Carrillo, G. ; Pérez, L.

  • Author_Institution
    Technol. Univ. of Pereira
  • fYear
    2006
  • fDate
    15-18 Aug. 2006
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The electric power markets have imposed new power service quality that make fault location in power distribution systems a mandatory issue. In this paper, a fault location approach based on the current waveforms measured at the power substation, the knowledge of protective device settings and ANFIS nets is presented. As a result, the approach may locate the faulted zone by using current descriptors. As a result, the ANFIS nets have proved the capability to locate the fault in a specific zone of the power distribution system. Result shows validation errors lower than 1% to locate faulted zones
  • Keywords
    fault location; fuzzy neural nets; inference mechanisms; power distribution economics; power distribution faults; power engineering computing; power markets; power supply quality; ANFIS nets; adaptive neuro-fuzzy inference system; current patterns; electric power markets; fault location; power distribution systems; power service quality; power substation; Circuit faults; Fault location; Fuses; Power distribution; Power measurement; Power quality; Power system protection; Power system restoration; Protective relaying; Substation protection; ANFIS systems; current patterns fault location; distribution systems; power quality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transmission & Distribution Conference and Exposition: Latin America, 2006. TDC '06. IEEE/PES
  • Conference_Location
    Caracas
  • Print_ISBN
    1-4244-0287-5
  • Electronic_ISBN
    1-4244-0288-3
  • Type

    conf

  • DOI
    10.1109/TDCLA.2006.311428
  • Filename
    4104659