• DocumentCode
    2331936
  • Title

    T-S model based fuzzy logic controller for AGC system after deregulation

  • Author

    Hou Guo-Lian ; Lou Rui ; Zeng Fanchun ; Zhang Jianhua

  • Author_Institution
    Dept. of Autom., North China Electr. Power Univ. (NCEPU), Beijing
  • fYear
    2009
  • fDate
    25-27 May 2009
  • Firstpage
    619
  • Lastpage
    624
  • Abstract
    A novel fuzzy logic controller based on T-S model is proposed for automatic generation control (AGC) system after deregulation. Since the AGC system is now exposed to sudden, larger changes introduced by deregulation policy, the nonlinearity must be concerned. In this paper, the generation rate constraint (GRC) is firstly constructed in T-S model to design the fuzzy logic controller, while the valve position limits on the governor are under consideration as well. Sufficient conditions for the asymptotic convergence of the whole system are provided in terms of linear matrix inequalities (LMI). The current control scheme is compared with conventional proportional and integral (PI) controller, and the comparison study indicates that the proposed fuzzy logic controller has better performance than the other while nonlinearity is concerned.
  • Keywords
    PI control; fuzzy control; linear matrix inequalities; power system control; AGC system; T-S model; automatic generation control system; deregulation policy; fuzzy logic controller; generation rate constraint; linear matrix inequalities; proportional and integral controller; Automatic control; Automatic generation control; Control system synthesis; Convergence; Fuzzy logic; Linear matrix inequalities; Pi control; Proportional control; Sufficient conditions; Valves; AGC; Deregulation; GRC; T-S model; Valve position limits;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-2799-4
  • Electronic_ISBN
    978-1-4244-2800-7
  • Type

    conf

  • DOI
    10.1109/ICIEA.2009.5138275
  • Filename
    5138275