• DocumentCode
    1307780
  • Title

    Reducibility and eigenvalue sensitivity for identifying critical generators in multimachine power systems

  • Author

    Aijarapu, V.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Eng., Iowa State Univ., Ames, IA
  • Volume
    5
  • Issue
    3
  • fYear
    1990
  • fDate
    8/1/1990 12:00:00 AM
  • Firstpage
    712
  • Lastpage
    719
  • Abstract
    A selection procedure to identify critical generators to be equipped with power system stabilizers is proposed. The selection is based on the sensitivity of critical eigenvalues to a parameter of the state coefficient matrix. Critical generators are identified by observing the sensitivities of the eigenvalues with respect to parameters which affect the damping of the machine rotor oscillation. These parameters are the diagonal elements of the coefficient matrix. Unlike other methods, the proposed method for calculating eigenvalue sensitivity does not require any eigenvectors. There are also no derivatives involved. One of the main advantages of this method is that it shows the dependence of eigenvalue sensitivity on power system structure; this may be helpful in reducing the size of the system. The effectiveness of the method is described through the application to a multi-machine power system dynamic model
  • Keywords
    electric generators; matrix algebra; power systems; critical generators; damping; eigenvalue sensitivity; machine rotor oscillation; multimachine power systems; stabilizers; state coefficient matrix; Damping; Eigenvalues and eigenfunctions; Equations; Power engineering computing; Power generation; Power system analysis computing; Power system dynamics; Power system modeling; Power system stability; Power systems;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.65897
  • Filename
    65897