• DocumentCode
    29411
  • Title

    Sensitivity Analysis of Voltage Sag Based Fault Location With Distributed Generation

  • Author

    Po-Chen Chen ; Malbasa, Vuk ; Yimai Dong ; Kezunovic, Mladen

  • Author_Institution
    Texas A&M Univ., College Station, TX, USA
  • Volume
    6
  • Issue
    4
  • fYear
    2015
  • fDate
    Jul-15
  • Firstpage
    2098
  • Lastpage
    2106
  • Abstract
    The presence of distributed generation (DG) in distribution networks may seriously affect accuracy of the voltage sag based fault location method. An approach toward quantifying the adverse effect of DG on the fault location calculation is described. A series of realistic scenarios is used to illustrate how DG impacts synchrophasor measurements during disturbances. Alternative Transients Program-Electromagnetic Transients Program models are used to obtain steady-state solutions in the time domain, while Sobol´s approach to sensitivity analysis is used to quantify the effect of DG and imperfections of measuring instruments on fault location. Various test cases reveal that DG may adversely affect the voltage characteristic and therefore the accuracy of voltage sag based fault location.
  • Keywords
    distributed power generation; fault location; phasor measurement; power distribution faults; power generation faults; power supply quality; sensitivity analysis; time-domain analysis; Alternative Transients Program-Electromagnetic Transients Program; DG; Sobol approach; distributed generation; distribution network; steady-state solution; synchrophasor measurement; time-domain analysis; voltage sag based fault location sensitivity analysis; Accuracy; Fault location; Indexes; Load modeling; Sensitivity analysis; Uncertainty; Voltage fluctuations; Distributed power generation; EMTP; fault location; power distribution faults; power system measurements; power system protection; power system simulation; power system {measurements}; search methods; sensitivity analysis; smart grids;
  • fLanguage
    English
  • Journal_Title
    Smart Grid, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3053
  • Type

    jour

  • DOI
    10.1109/TSG.2014.2387153
  • Filename
    7015613