Performance of the DBF neural controller for transient stability enhancement of the power system

Abstract

To enhance the first swing stability a DBF neural network fastvalving controller is proposed. The solution approach is based on a recent fuzzy fastvalving control scheme. Disturbances in the PS are used for training the NN controller. The performance of the DBF neural controller is simulated in a single machine to an infinite bus power system.