• DocumentCode
    1070354
  • Title

    Optimal design of power system stabilizers using evolutionary programming

  • Author

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

  • Author_Institution
    Dept. of Electr. Eng., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
  • Volume
    17
  • Issue
    4
  • fYear
    2002
  • fDate
    12/1/2002 12:00:00 AM
  • Firstpage
    429
  • Lastpage
    436
  • Abstract
    The optimal design of power system stabilizers (PSSs) using evolutionary programming (EP) optimization technique is presented in this paper. The proposed approach employs EP to search for optimal settings of PSS parameters that shift the system eigenvalues associated with the electromechanical modes to the left in the s-plane. Incorporation of EP algorithm in the design of PSSs significantly reduces the computational burden. The performance of the proposed PSSs under different disturbances, loading conditions, and system configurations is investigated for a multimachine power system. The eigenvalue analysis and the nonlinear simulation results show the effectiveness and robustness of the proposed PSSs to damp out the local as well as the interarea modes of oscillations and work effectively over a wide range of loading conditions and system configurations.
  • Keywords
    damping; eigenvalues and eigenfunctions; evolutionary computation; oscillations; power system dynamic stability; disturbances; eigenvalue analysis; eigenvalues; electromechanical modes; evolutionary programming; interarea oscillation modes damping; loading conditions; multimachine power system; nonlinear simulation; optimal design; optimal settings; optimization technique; power system stabilizers; robustness; s-plane; system configurations; Algorithm design and analysis; Analytical models; Computational modeling; Design optimization; Eigenvalues and eigenfunctions; Genetic programming; Power system analysis computing; Power system simulation; Power systems; Robustness;
  • fLanguage
    English
  • Journal_Title
    Energy Conversion, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8969
  • Type

    jour

  • DOI
    10.1109/TEC.2002.805179
  • Filename
    1159192