• DocumentCode
    1533121
  • Title

    Differential Power-Based Symmetrical Fault Detection During Power Swing

  • Author

    Rao, J. Ganeswara ; Pradhan, Ashok Kumar

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Technol., Kharagpur, India
  • Volume
    27
  • Issue
    3
  • fYear
    2012
  • fDate
    7/1/2012 12:00:00 AM
  • Firstpage
    1557
  • Lastpage
    1564
  • Abstract
    Distance relays are blocked during power swing to ensure reliability of the power system. However, if a fault occurs during a power swing, it should be detected and the unblocking function should be invoked to clear the fault as soon as possible. Due to the symmetric nature of signals during the power swing, symmetrical faults are difficult to be detected. In this paper, a differential power-based fault detection technique is proposed for the detection of symmetrical faults during power swings. The differential power is calculated from the difference in predicted and actual samples of voltage and current. The predicted voltage and current samples are obtained using the autoregression technique. The proposed method is tested for different fault conditions and the results are compared with the available method. The proposed method is found to identify symmetrical faults accurately during slow and fast power swings for different power systems.
  • Keywords
    power system relaying; power system reliability; regression analysis; autoregression technique; current samples; differential power-based symmetrical fault detection; distance relays; power swing; power system reliability; symmetrical fault identification; voltage samples; Accuracy; Fault detection; Fault diagnosis; Impedance; Indexes; Protective relaying; Autoregression; distance relay; power swing; superimposed components; symmetrical faults; transmission-line faults;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2012.2196527
  • Filename
    6212491