Power System Output Feedback Controller Design Using Fuzzy C-Means Clustering Reduced Model

摘要

This paper presents the power system output feedback controller design using fuzzy c-means (FCM) clustering in the order reduction of dynamic models. Based on the fuzzy c-means algorithm, the proposed method is applied to clustering the poles and zeros of the original power system model into new clusters from which a reduced-order model can be obtained. Thereupon the reduced-order model is used to design a proportional-integral type power system stabilizer to improve the damping in system oscillation after a system disturbance. The reduced-order model can comprise the critical dynamic characteristics of the original model, nevertheless let it easier to design the controller. The electromechanical mode of the power system can be improved by the designed power system stabilizer from pole assignment. Results from a sample power system are presented to show the validity of the proposed method.