Dynamic Performance Improvement of a Two-area Power System by PSS and Series FACTS based Damping Controllers Using ANFIS Technology

Abstract

The most common control action to enhance damping of the power system oscillations is provided by the use of Power System Stabilizers (PSSs). The function of this device is to extend stability limits by modulating generator excitation to provide damping to the electromechanical oscillations. Nowadays, due to the technological stage of high power electronic devices, other effective solution such as the use of FACTS (Flexible AC Transmission System) controllers to damp low frequency electromechanical oscillations is being considered. Here, the series FACTS based damping controller such as Static Synchronous Series Compensator (SSSC) is employed. In this paper, an adaptive damping controller using ANFIS (Adaptive Neuro-Fuzzy Inference System) approach has been proposed to provide a robust and flexible power oscillation damping performance for both PSS and SSSC devices applied in a two-area power system. The efficiency of the proposed approach is validated through simulation, carried out in Matlab/Simulink environment. The digital simulation results have shown that even though initial overshoot may be slightly high, there is a significant reduction in settling time for the system with neuro-fuzzy based SSSC controller when subjected to small-signal perturbations, as compared with neuro-fuzzy based PSS control scheme.