Hybrid NeuroFuzzy B-spline Wavelet based SSSC control for damping power system oscillations

Abstract

Controllable series voltage injection can significantly enhance the damping capability of a power system. Static Synchronous Series Compensator (SSSC) is a well-known FACTS controller used for this purpose. This paper presents a novel adaptive control scheme to damp inter-area oscillations in a multi-machine power system using SSSC. The proposed control paradigm utilizes the local control property of B-spline membership function by hybridizing it with wavelet NNs in the structure of NeuroFuzzy system to design the external control for SSSC. The system parameters are tuned online based on the adaptive NeuroFuzzy rules extracted from rotor speed error and its derivative. The detailed mathematical description of online tuning the control parameters is given. The control scheme utilizes the model free direct control structure which reduces the computational complexity, latency and memory requirements making the control system a good candidate for real time implementation. The robustness of the proposed control system is checked against various faults and operating conditions on the basis of nonlinear time domain simulations. Finally, the results of proposed Hybrid B-spline Wavelet Control (HBsWC) are compared with Adaptive NeuroFuzzy TSK Control (ANeFu-TS).