• DocumentCode
    765476
  • Title

    Multivariable control design for damping interarea oscillations of bulk power systems using a modal reduction technique

  • Author

    Tada, Yasuyuki ; Ohkubo, Hiroyuki ; Kurita, Atsushi

  • Author_Institution
    Tokyo Electr. Power Co. Inc., Japan
  • Volume
    11
  • Issue
    1
  • fYear
    1996
  • fDate
    2/1/1996 12:00:00 AM
  • Firstpage
    295
  • Lastpage
    302
  • Abstract
    A new technique for power system multivariable control design in order to raise precision and facilitate design procedures is described. The multivariable control scheme for damping improvement of power swings is based on the optimal feedback control theory, and in the design process, eigenvalues of a 2n×2n matrix for an n-th dimension state equation must be calculated in order to solve the Riccati equation. Hence, in order to apply to a bulk power system, the matrix size must be reduced. By a modal reduction technique which is proposed in this paper, the matrix size can be reduced by about 75%. The multivariable control scheme is applied to a 164-machine power system. The result shows that the proposed technique enables the multivariable control design for a bulk power system with simple procedures
  • Keywords
    Riccati equations; control system synthesis; eigenvalues and eigenfunctions; feedback; matrix algebra; multivariable control systems; optimal control; power system control; power system interconnection; Riccati equation; bulk power system; eigenvalues; interarea oscillations damping; matrix size reduction; multivariable control design; optimal feedback control theory; Control design; Control systems; Damping; Eigenvalues and eigenfunctions; Feedback control; Optimal control; Power system control; Power systems; Process design; Riccati equations;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.486109
  • Filename
    486109