A Self-Organizing Fuzzy Power System Stabilizer Based on Slide Mode Control

In this paper, a strategy for self-organizing fuzzy power system stabilizer (PSS) is formulated and evaluated. Unlike other methods that have a learning algorithm to update look-up table, the proposed PSS consists of output look-up table that is made by fuzzy rule base, and learning algorithm based on the principle of sliding mode. The results of this proposed PSS reduces computation time, steady state error, efficient response achieved for damping electromechanical modes of oscillations, and enhance power system synchronous stability.