Damping low frequency oscillations using online Adaptive NeuroFuzzy Type-2 based STATCOM

The reactive power compensation using shunt FACTS controllers also regulates the voltage of bus at which the shunt controller is installed. Static Synchronous Compensator (STATCOM), one of the shunt FACTS controllers, is a well-known controller used for this purpose, however, this article investigates its behavior for damping power system oscillations by application of a novel direct adaptive NeuroFuzzy Type2 (ANFT2) based nonlinear control scheme, for damping low frequency inter-area oscillations, using STATCOM. The proposed control scheme exploits the excellent estimation property of Type2 membership functions for modeling uncertainties in the system. The parameters of the proposed control scheme are updated online without using any offline training data which in turn minimizes the memory requirements, computational complexity and latency maintaining the performance of the system. The performance of the proposed control system is tested for various faults and operating conditions on multi-machine test system using nonlinear time domain simulations. Finally, the comparative analysis of ANT2 with Adaptive NeuroFuzzy Type-1 (ANFT1) control and without control is presented to validate the efficiency of proposed control system. The simulation results reveal that the proposed control scheme significantly improves the damping performance in transient and steady-state regions.