Online adaptive NeuroFuzzy wavelet based SSSC control for damping power system oscillations

Major blackouts reported in the literature due to low frequency inter-area oscillations highlight the importance of efficient damping control devices. This paper presents an Online NeuroFuzzy Wavelet Control (ONFW-C) based auxiliary damping control (ADC) to damp inter-area oscillations in a multi-machine power system using Static Synchronous Series Compensator (SSSC). The control system parameters are tuned online based on the adaptive NeuroFuzzy rules extracted from rotor speed error and its derivative. The optimization of the proposed control paradigm is done using gradient descent based back-propagation algorithm. The control scheme utilizes the model free direct control structure which reduces the computational complexity, latency and memory requirements 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 ONFW-C are compared with Online NeuroFuzzy TSK Control (ONFT-C).