• DocumentCode
    3457141
  • Title

    A novel approach for automatic generation control of a multi-area power system

  • Author

    Khuntia, S.R. ; Panda, Siddhartha

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Nat. Inst. of Sci. & Technol., Berhampur, India
  • fYear
    2011
  • fDate
    8-11 May 2011
  • Abstract
    This paper deals with artificial neural network (ANN) based ANFIS approach for automatic generation control (AGC) of a multi-area hydro-thermal system. The proposed ANFIS controller combines the advantages of fuzzy controller and quick response and adaptability nature of ANN. Appropriate generation rate constraints (GRC) have been considered for the thermal and hydro plants. The hydro area is considered with an electric governor and thermal area is considered with reheat turbine. The design objective is to improve the frequency deviations of the interconnected system. 1% step load perturbation has been considered occurring either in any individual area or occurring simultaneously in all the areas. Simulation results are presented to show the improved performance of ANFIS controller in comparison with an optimized conventional integral controller.
  • Keywords
    fuzzy control; hydrothermal power systems; neurocontrollers; power generation control; AGC; ANFIS approach; ANFIS controller; artificial neural network; automatic generation control; fuzzy controller; generation rate constraints; interconnected system; multiarea hydro-thermal system; multiarea power system; optimized conventional integral controller; Artificial neural networks; Automatic generation control; Frequency control; Power system stability; Time frequency analysis; Adaptive Neuro-Fuzzy Inference System (ANFIS); Area Control Error (ACE); Automatic Generation Control (AGC); Generation Rate Constraint (GRC); Hydro-Thermal System; Multi-Area System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering (CCECE), 2011 24th Canadian Conference on
  • Conference_Location
    Niagara Falls, ON
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4244-9788-1
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2011.6030649
  • Filename
    6030649