• DocumentCode
    547681
  • Title

    NARMA-L2 controller for three-area load frequency control

  • Author

    Adaryani, Mohsen Rezaei ; Afrakhte, Hossein

  • Author_Institution
    Guilan University
  • fYear
    2011
  • fDate
    17-19 May 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper investigates the load-frequency control (LFC) based on neural network for improving power system dynamic performance. The objectives of this control action are regulation of the frequency at area and minimization the deviation of interchange power between control areas. The controller is adaptive and is based on a nonlinear autoregressive moving average (NARMA-L2) algorithm. The controller was implemented using MATLAB/Simulink on three-area load frequency power systems. A comparative study between proposed controller and PI controller tuned by real coded genetic algorithm (GA) will be presented and the advantages of this controller on a wide range of operating conditions will be shown.
  • Keywords
    Artificial neural networks; Autoregressive processes; Frequency control; Mathematical model; Power system dynamics; Time frequency analysis; Area Control Error (ACE); Artificial Neural Network (ANN); Genetic Algorithm (GA); Load Frequency Control (LFC);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering (ICEE), 2011 19th Iranian Conference on
  • Conference_Location
    Tehran, Iran
  • Print_ISBN
    978-1-4577-0730-8
  • Electronic_ISBN
    978-964-463-428-4
  • Type

    conf

  • Filename
    5955569