Transient Stability Improvement in Power Systems Using an Adaptive Neuro-Fuzzy Based Intelligent Controller

This paper proposes a Neuro-Fuzzy Controller to Thyristor Controlled Series Capacitor (TCSC), which might have a significant impact on power system dynamics. We tune the scaling factors of neuro-fuzzy controller using adaptive critic. The proposed method is used for damping the low frequency oscillations caused by disturbances such as a sudden change of small or large loads or an outage in the generators or transmission lines. To evaluate the usefulness of the proposed method, the computer simulation for single machine infinite system is performed. Simulation results show that this control strategy is very robust, flexible and alternative performance. Also it could be used to get the desired performance levels. The response time is also very fast despite the fact that the control strategy is based on bounded rationality. Obtain results that have been compared with fuzzy PD controller show that our method has the better control performance than fuzzy PD controller. Key-Words: Transient Stability Analysis, Fact Device, Neural Network, Fuzzy Logic, Adaptive Critic