• DocumentCode
    1493513
  • Title

    The dominant pole spectrum eigensolver [for power system stability analysis]

  • Author

    Martins, Nelson

  • Author_Institution
    CEPEL, Electr. Power Res. Center, Rio de Janeiro, Brazil
  • Volume
    12
  • Issue
    1
  • fYear
    1997
  • fDate
    2/1/1997 12:00:00 AM
  • Firstpage
    245
  • Lastpage
    254
  • Abstract
    This paper describes the first partial eigensolution algorithm to efficiently and simultaneously compute the set of dominant closed-loop poles in any high-order scalar transfer function. The proposed algorithm is called the dominant pole spectrum eigensolver (DPSE). The DPSE is a subspace iteration method, which operates on both left and right subspaces to produce better estimates for the dominant poles of the transfer function F(s). The results presented are related to the study of low-frequency oscillations in a large power system dynamic model, but the proposed algorithm is completely general. Reduced-order models are effectively obtained with the use of DPSE, as shown in the paper
  • Keywords
    eigenvalues and eigenfunctions; iterative methods; power system analysis computing; power system stability; transfer functions; computer simulation; dominant closed-loop poles; dominant pole spectrum eigensolver; high-order scalar transfer function; low-frequency oscillations; partial eigensolution algorithm; power system dynamic model; power system stability analysis; subspace iteration method; Control system synthesis; Control systems; Jacobian matrices; Large-scale systems; Power system dynamics; Power system modeling; Power system stability; Power systems; Reduced order systems; Transfer functions;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.574945
  • Filename
    574945