Adaptive Neuro Fuzzy Wavelet Based SSSC Damping Control Paradigm

Abstract

The supplementary damping control can be efficiently used for Flexible AC Transmission System (FACTS) controllers to damp the low frequency oscillations in single and multi-machine power systems. These low frequency oscillations may lead to the instability of the system if not damped out properly. This paper presents, wavelet based adaptive NeuroFuzzy supplementary control by incorporating wavelets in the structure of Conventional Adaptive Fuzzy NN (CAFNN) for SSSC. The proposed control system has successfully been applied to single machine infinite bus system (SMIB) and multi-machine power system for various faults and operating conditions. Finally, the proposed control technique is compared with CAFNN using nonlinear time domain simulations for various faults and operating conditions. The results reveal that the proposed control has optimal damping performance as compared to CAFNN for both local and inter-area modes of oscillation.