Power system stability enhancement using reduced rule base self-tuning fuzzy PI controller for TCSC

Abstract

In this paper, a self-tuning fuzzy PI controller (STFPIC) for Thyristor Controlled Series Capacitor (TCSC) is proposed. Essentially, a STFPIC consists of two fuzzy logic controllers (FLC). In this work, for each FLC, 49 rules have been used and as a result, the overall complexity of the STFPIC increases substantially. To reduce this complexity, application of singular value decomposition (SVD) based rule reduction technique is also proposed in this paper. By applying this methodology, the number of rules in each FLC has been reduced from 49 to 9. Therefore, the proposed rule base reduction technique reduces the total number of rules in the STFPIC by almost 80% ( from 49×2 = 98 to 9×2 = 18 ), thereby reducing the complexity of the STFPIC significantly. The feasibility of the proposed algorithm has been tested on 10-machine 39-bus system through detailed digital simulation using MATLAB/SIMULINK.