• DocumentCode
    2371056
  • Title

    Effect of non-linearities in fuzzy approach for control a two -area interconnected power system

  • Author

    Yousef, Ali M. ; Aly, Ayman A.

  • Author_Institution
    Electr. Eng. Dept., Assiut Univ., Assiut, Egypt
  • fYear
    2010
  • fDate
    4-7 Aug. 2010
  • Firstpage
    706
  • Lastpage
    711
  • Abstract
    This paper describes the application of the fuzzy logic controller method on load frequency power systems. Integral and PID controllers are designed and compared with fuzzy logic controller. The controller employ local feedback signal from the output to the input. To validate the effectiveness of the proposed controller, a single-area and two-area power system are simulated over a wide range of operating conditions and system parameters change. Moreover, system non-linearity such as Generation Rate Constraint (GRC) and governor dead band have been included in the simulation studies. Further, comparative studies between the conventional integral control, PID control and proposed efficient fuzzy logic load frequency control are included on the simulation results. To analyze the time response of area frequency deviations and net interchange deviation following a small load change in one of the areas in an inter connected two-area power system under different control modes, to study the effect of changes in controller parameters on the response and to select the optimal set of parameters for the controller to obtain the best response under different operating conditions.
  • Keywords
    control nonlinearities; frequency control; fuzzy control; power system control; power system interconnection; three-term control; PID controllers; fuzzy approach; fuzzy logic load frequency control; generation rate constraint; governor dead band; integral controllers; load frequency power systems; local feedback signal; nonlinearities effect; two area interconnected power system; Control systems; Frequency control; Fuzzy logic; Load modeling; Manganese; Power system dynamics; Fuzzy logic; PID control and Load frequency control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2010 International Conference on
  • Conference_Location
    Xi´an
  • ISSN
    2152-7431
  • Print_ISBN
    978-1-4244-5140-1
  • Electronic_ISBN
    2152-7431
  • Type

    conf

  • DOI
    10.1109/ICMA.2010.5589088
  • Filename
    5589088