• DocumentCode
    648440
  • Title

    Electrical power systems fault location with one-terminal data using estimated remote source impedance

  • Author

    Lima, D.A.C. ; Ferraz, R.G. ; Filomena, A.D. ; Bretas, Arturo S.

  • Author_Institution
    Electr. Eng. Dept., Fed. Univ. of Rio Grande do Sul, Porto Alegre, Brazil
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this study, a fault location algorithm for electrical power systems is presented. The proposal consists in an accurate impedance-based fault location algorithm by utilizing voltage and current measurements from local terminal and estimated remote source impedance. In order to evaluate the fault location algorithm a numerical analysis is made. Phase-to-ground faults are simulated in a 230 kV Brazilian transmission line using the software ATP/EMTP and MATLAB. The algorithm is tested considering the fault distance, fault resistance, and the variation of short-circuit capacity of remote system effects. The results show that the fault resistance and fault distance affect the estimated fault distance, but with minor errors. More, the proposed algorithm is not sensitive to the remote system short-circuit capacity variation.
  • Keywords
    electric current measurement; electric impedance; fault location; numerical analysis; power transmission faults; power transmission lines; voltage measurement; Brazilian transmission line; current measurement; electrical power system fault location; estimated remote source impedance; fault resistance; impedance-based fault location algorithm; numerical analysis; one-terminal data; phase-to-ground fault; short-circuit capacity; voltage measurement; Algorithm design and analysis; Circuit faults; Fault location; Impedance; Monitoring; Radio frequency; Resistance; Estimated Remote Source Impedance; Fault Location; Impedance-based; One -Terminal Data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting (PES), 2013 IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESMG.2013.6673022
  • Filename
    6673022