• DocumentCode
    2276181
  • Title

    Intelligent Automatic Generation Control of Two-Area Hydrothermal Power System Using ANN and Fuzzy Logic

  • Author

    Verma, Rajesh ; Pal, Shovon ; Sathans, S.

  • Author_Institution
    Dept. of Electr. Eng., Nat. Inst. of Technol., Kurukshetra, India
  • fYear
    2013
  • fDate
    6-8 April 2013
  • Firstpage
    552
  • Lastpage
    556
  • Abstract
    This study presents the design and implementation of intelligent controllers, based on artificial neural networks (ANN) and fuzzy logic, for automatic generation control (AGC) of a two area hydrothermal power system. The AGC performance with intelligent controllers is compared with the performance of conventional optimized integral and tuned PID controllers under step load disturbance. Comparative analysis of results shows considerable improvement in system performance with intelligent controllers following a load disturbance in either of the areas. The ANN controller gives better dynamic response, reduced error magnitude and minimized frequency transients. The performance of fuzzy controller is almost similar to that of ANN controller.
  • Keywords
    fuzzy control; hydrothermal power systems; intelligent control; neural nets; power generation control; three-term control; AGC; ANN controller; PID controllers; artificial neural networks; frequency transients; fuzzy controller; fuzzy logic; intelligent automatic generation control; load disturbance; reduced error magnitude; system performance; two-area hydrothermal power system; Artificial intelligence; Artificial neural networks; Automatic generation control; Frequency control; Fuzzy logic; Niobium; Power systems; artificial neural networks (ANN); automatic generation control (AGC); fuzzy logic controller (FLC); intelligent controller; power system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems and Network Technologies (CSNT), 2013 International Conference on
  • Conference_Location
    Gwalior
  • Print_ISBN
    978-1-4673-5603-9
  • Type

    conf

  • DOI
    10.1109/CSNT.2013.119
  • Filename
    6524457