INTELLIGENT CONTROL SCHEMES FOR SSSC BASED DAMPING CONTROLLERS IN MULTI-MACHINE POWER SYSTEMS

The main aim of this paper is to damp out power system oscillations, which has been recognized as one of the major concerns in power system operation. This paper describes the damping of power oscillations by hybrid neuro-fuzzy coordinated control of Flexible AC Transmission System (FACTS) based damping controllers. The advantage of this approach is that it can handle the nonlinearities, at the same time it is faster than other conventional controllers. ANFIS (Adaptive Neuro-Fuzzy Inference System) is employed for the training of the proposed fuzzy logic controllers (FLC). Simulation studies are carried out in Matlab/Simulink environment to evaluate the effectiveness of the proposed neuro-fuzzy controller on multi-machine power systems installed with Static synchronous series compensator (SSSC). Results show that the proposed neuro-fuzzy intelligent controls improve the damping performance of the SSSC based damping controllers in the event of a major disturbance.