• DocumentCode
    1794694
  • Title

    An autoregression-power based symmetrical fault detection during power swing

  • Author

    Rao, D. Anantha Koteswararao ; Andanapalli, K. ; Varma, B.R.K.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., S.R.K.R. Eng. Coll., Bhimavaram, India
  • fYear
    2014
  • fDate
    6-11 Jan. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Distance relays are sensitive to the power swings. So these are blocked during power swing to ensure reliability of the power system. However, if a fault occurs during a power swing, distance relay must operate to clear the fault with a high degree of selectivity and sensitivity. This paper presents a new symmetrical fault detection techniques during power swing based on differential three-phase instantaneous power using auto regression. The differential three-phase instantaneous power is calculated from the difference of actual and predicted samples of three phase instantaneous power. The performance of the proposed method is verified by considering different fault conditions with varying fault resistances, fault inception times, fault distance and power angle. Simulation results in MATLAB environment show the efficacy of the proposed method.
  • Keywords
    fault diagnosis; load forecasting; power system faults; power system relaying; power system reliability; regression analysis; MATLAB environment; autoregression-power based symmetrical fault detection technique; differential three-phase instantaneous power calculation; distance relay; fault distance; fault inception; fault resistance; power angle; power swing; power system reliability; Circuit faults; Fault detection; Mathematical model; Protective relaying; Resistance; Simulation; Auto regression technique; Distance relay; Three-phase instantaneous power; power swing; symmetrical faults;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Signals Control and Computations (EPSCICON), 2014 International Conference on
  • Conference_Location
    Thrissur
  • Print_ISBN
    978-1-4799-3611-3
  • Type

    conf

  • DOI
    10.1109/EPSCICON.2014.6887505
  • Filename
    6887505