• DocumentCode
    2681406
  • Title

    Novel method for disturbance identification in power systems

  • Author

    Bi, T.S. ; Song, X.N. ; Wu, J.T. ; Yang, Q.X.

  • Author_Institution
    Key Lab. of Power Syst. Protection & Dynamic Security Monitoring & Control, North China Electr. Power Univ., Beijing
  • fYear
    0
  • fDate
    0-0 0
  • Abstract
    With the development of power grid interconnection, it is necessary for operators to know about system dynamic status while disturbance occurs in power systems in order to take appropriate counter measures to ensure the power system security. The advent of wide area measurement system (WAMS) makes the monitoring of power system dynamic behavior become possible. Based on WAMS, a method for identifying different kinds of disturbance in power system is presented in this paper. Firstly, the features of disturbances (i.e. short circuit, load shedding and loss of generation) that frequently occur in power system are analyzed in detail. Then, based on the idea of pattern recognition, the suggested disturbance identification method is discussed. Finally, computer simulation results are carried out in North China power grid, which demonstrate the validity of theoretical analysis and the feasibility of the proposed disturbances identification method
  • Keywords
    fault location; load shedding; pattern recognition; power grids; power system faults; power system interconnection; power system security; North China power grid; load shedding; pattern recognition; power grid interconnection; power system security; power systems disturbance identification; wide area measurement system; Integrated circuit interconnections; Power grids; Power system analysis computing; Power system dynamics; Power system interconnection; Power system measurements; Power system security; Power system simulation; Power systems; Wide area measurements; WAMS; disturbance identification; pattern recognition; power systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2006. IEEE
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    1-4244-0493-2
  • Type

    conf

  • DOI
    10.1109/PES.2006.1709431
  • Filename
    1709431