Comparison of Adaptive Neuro-Fuzzy based PSS and SSSC Controllers for Enhancing Power System Oscillation Damping
نویسنده
چکیده
The low frequency electromechanical oscillations have been observed in many power systems and have resulted in system separation on several occasions. The main objective of this paper is to damp out the power angle oscillations of a two-area power system using Power System Stabilizers (PSSs) and Static Synchronous Series Compensator (SSSC) controllers. In this paper, the damping performances of conventional and Adaptive Neuro-Fuzzy Inference System (ANFIS) based PSS and SSSC controllers are compared. Digital simulations of the two-area power system are carried out in Matlab/Simulink environment to validate the efficiency of the proposed ANFIS approach. The results reveal that the ANFIS based SSSC controllers show slightly improved damping performance characteristics compared to ANFIS based PSS controllers.
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