• DocumentCode
    2017307
  • Title

    Artificial neural network based multi area Automatic Generation Control scheme for a competitive electricity market environment

  • Author

    Padhy, Bibhu Prasad ; Tyagi, Barjeev

  • Author_Institution
    Electr. Eng. Dept., Indian Inst. of Technol., Roorkee, India
  • fYear
    2009
  • fDate
    27-29 Dec. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents an artificial neural network (ANN) based controller for multi-area Automatic Generation Control (AGC) scheme in a deregulated electricity market. A three layer feed forward neural network (NN) is proposed for controller design and trained with Back propagation algorithm (BPA). The ANN controller has been developed for multi-area system having Poolco, bilateral and mixed transactions. The Area Control Error (ACE) signal and load variation in the system have been used as input to the ANN controller. The functioning of the proposed controller has been demonstrated on a 75-bus Indian power system network and the result of the ANN controller is compared with a conventional Proportional-Integral-Derivative (PID) controller tuned with Genetic Algorithm.
  • Keywords
    backpropagation; feedforward neural nets; genetic algorithms; power generation control; power markets; three-term control; Indian power system network; PID controller; area control error signal; artificial neural network; back propagation algorithm; electricity market environment; feedforward neural network; genetic algorithm; load variation; multiarea automatic generation control scheme; proportional-integral-derivative controller; Artificial neural networks; Automatic control; Automatic generation control; Control systems; Electricity supply industry; Electricity supply industry deregulation; Feeds; Neural networks; Pi control; Proportional control; Artificial Neural Network; Automatic Generation Control; Back propagation algorithm; Deregulated market; Genetic Algorithm; PID controller;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Systems, 2009. ICPS '09. International Conference on
  • Conference_Location
    Kharagpur
  • Print_ISBN
    978-1-4244-4330-7
  • Electronic_ISBN
    978-1-4244-4331-4
  • Type

    conf

  • DOI
    10.1109/ICPWS.2009.5442734
  • Filename
    5442734