Power system stabilization using fuzzy-neural hybrid intelligent control

This paper presents fuzzy-neural hybrid control for power system stabilization. The main idea of hybrid control is that the dynamic feedforward compensator can be used for improving the ability to track the reference rather than changing the dynamics, while feedback is used for stabilizing the system and for suppressing disturbances. In this paper, fuzzy logic is applied to design a feedback controller and then a neural network inverse model is obtained for a feedforward compensator. The controller is tested for a one-machine infinite-bus power system under various operating conditions.