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

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.