Adaptive NeuroFuzzy damping control for power system stability enhancement

Efficient damping control devices installed in a power system play a vital role in transient stability improvement. This paper presents a comprehensive approach to design and compare the direct and indirect NeuroFuzzy wavelet control schemes for supplementary control of Static Synchronous Series Compensator (SSSC) to damp power system oscillations. Machine rotor speed deviation and its derivative are used for online adaptation of parameters of the control system. The performance of the proposed control scheme is optimized for control effort smoothness by providing the online sensitivity measure to adaptation mechanism. The robustness of the proposed control system is validated using nonlinear time domain simulations and performance indices. Various faults and operating conditions are used to justify the online stability of the system using Single Machine Infinite Bus (SMTB) system. Simulation results of the proposed control schemes are compared with Adaptive NeuroFuzzy Takagi-Sugeno Kang Control (ANFTSC).