• DocumentCode
    1988981
  • Title

    Robust design of electrical power-based stabilizers using tabu search

  • Author

    Abido, M.A. ; Abdel-Magid, Y.L.

  • Author_Institution
    Dept. of Electr. Eng., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
  • Volume
    3
  • fYear
    2001
  • fDate
    15-19 July 2001
  • Firstpage
    1573
  • Abstract
    Robust design of multimachine power system stabilizers (PSSs) using tabu search (TS) optimization technique is presented in this paper. The proposed approach employs TS for optimal parameter settings of a widely used conventional fixed-structure lead-lag PSS (CPSS) that employs electrical power as input. The parameters of the proposed stabilizers are selected using TS in order to shift the system. poorly damped electromechanical modes at several loading conditions and system configurations simultaneously to a prescribed zone in the left hand side of the s-plane. Incorporation of IS as a derivative-free optimization technique in PSS design significantly reduces the computational burden. The performance of the proposed PSSs under different disturbances and loading conditions is investigated for a multimachine power system. The eigenvalue analysis and the nonlinear simulation results show the effectiveness of the proposed PSSs to damp out the local as well as the interareas modes and enhance greatly the system stability over a wide range of loading conditions and system configurations.
  • Keywords
    eigenvalues and eigenfunctions; optimisation; power system dynamic stability; search problems; PSS; conventional fixed-structure lead-lag PSS; derivative-free optimization technique; dynamic stability; eigenvalue analysis; electrical power input; electrical power-based stabilizers; inter area modes; left hand side; loading conditions; multimachine power system stabilizers; nonlinear simulation; optimal parameter settings; poorly damped electromechanical modes; s-plane; tabu search optimization technique; Analytical models; Computational modeling; Design optimization; Eigenvalues and eigenfunctions; Power system analysis computing; Power system simulation; Power system stability; Power systems; Robustness; Stability analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society Summer Meeting, 2001
  • Conference_Location
    Vancouver, BC, Canada
  • Print_ISBN
    0-7803-7173-9
  • Type

    conf

  • DOI
    10.1109/PESS.2001.970311
  • Filename
    970311