Artificial neural network based automatic generation control scheme for deregulated electricity market

This paper presents an artificial neural network (ANN) based frequency controller design for multi-area Automatic Generation Control (AGC) scheme in a deregulated electricity market. The effect of Superconducting Magnetic Energy Storage (SMES) unit has also been considered to develop the model. SMES units have been used to the power systems to inject or absorb active power. The effect of generator rate constraint (GRC) has also been considered in developing the multi area AGC model. A three layer feed forward neural network (NN) is proposed for controller design and trained with Back propagation algorithm (BPA). The poolco based transaction can be implemented by optimizing the bids (price & capacity) submitted by the generating companies (Gencos) and distribution companies (Discos). The functioning of the proposed ANN based controller has been demonstrated on a four-area System, and the results have been compared with those obtained by using a Genetic Algorithm based control scheme.