• DocumentCode
    1682095
  • Title

    Intelligent Load Frequency Control of Two-Area Multi Unit Power System with SMES

  • Author

    Sathans ; Swarup, Akhilesh

  • Author_Institution
    Dept. of Electr. Eng., Nat. Inst. of Technol., Kurukshetra, India
  • fYear
    2011
  • Firstpage
    147
  • Lastpage
    152
  • Abstract
    This paper presents the design of a fuzzy gain scheduled proportional-integral (FGSPI) controller for load frequency control (LFC) of two-area multi unit power system with and without superconducting magnetic energy storage (SMES) unit in each area. The power system comprises of two reheat type thermal units of same capacity in each area. The dynamic response has been studied for 1% step load perturbation in area-1, using settling times, overshoots and undershoots of the tie-line power and frequency deviations as performance indices. The proposed intelligent controller is compared against conventional proportional-integral (PI) controller and optimal state feedback linear quadratic regulator (LQR) controller. Comparative analysis of the results shows that the proposed controller is quite effective and better than the other two controllers. The paper also adopts a new formulation of the area control error (ACE). Results obtained with this new control strategy using modified ACE indicate improvement of dynamic response. Simulations have been performed using Matlab®.
  • Keywords
    PI control; control system analysis; frequency control; fuzzy control; gain control; intelligent control; linear quadratic control; load regulation; power system control; state feedback; superconducting magnet energy storage; SMES; area control error; dynamic response; frequency deviation; fuzzy gain scheduled proportional-integral controller; intelligent controller; intelligent load frequency control; load perturbation; optimal state feedback linear quadratic regulator controller; performance indices; superconducting magnetic energy storage; tie-line power; two-area multiunit power system; Frequency control; Niobium; Performance analysis; Power system dynamics; Time frequency analysis; Turbines; SMES; automatic generation control; fuzzy gain scheduling; load frequency control; power system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems Engineering (ICSEng), 2011 21st International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4577-1078-0
  • Type

    conf

  • DOI
    10.1109/ICSEng.2011.34
  • Filename
    6041830