• DocumentCode
    2629267
  • Title

    Application of Imperialist Competitive Algorithm to design an optimal controller for LFC problem

  • Author

    Rakhshani, Elyas ; Luna, Alvaro ; Rouzbehi, Kumars ; Rodriguez, Pedro

  • Author_Institution
    Dept. of Electr. Eng., Tech. Univ. of Catalonia, Barcelona, Spain
  • fYear
    2012
  • fDate
    25-28 Oct. 2012
  • Firstpage
    1223
  • Lastpage
    1227
  • Abstract
    A novel optimization algorithm is presented to improve the design of optimal controllers for load frequency control problem. This algorithm is applied for two area LFC system with using an output feedback controller. In the practical power system, access to some of the state variables in LFC system is limited and measuring is also impossible. So an optimal output feedback controller with a practical viewpoint is proposed. The optimal control law is determined by minimizing a performance index under the output feedback conditions leading to a coupled matrix equation. In order to solve these equations traditional methods may be used. But for more accuracy and better design for this controller, ICA algorithm is applied to find the global optimal gain matrix of the controller. Simulation results of ICA are compared with the conventional design. Comparison shows the success of ICA for design of optimal controller.
  • Keywords
    feedback; frequency control; load regulation; optimal control; ICA algorithm; LFC problem; LFC system; global optimal gain matrix; imperialist competitive algorithm; load frequency control problem; optimal control law; optimal controller; optimization algorithm; output feedback controller; state variables; Variable speed drives;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
  • Conference_Location
    Montreal, QC
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4673-2419-9
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2012.6388596
  • Filename
    6388596