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
Link To Document