@article {10.3844/ajassp.2010.145.152,
article_type = {journal},
title = {Takagi-Sugeno Fuzzy Gains Scheduled PI Controller for Enhancement of Power System Stability},
author = {Hassan, Lokman H. and Moghavvemi, M. and Mohamed, Haider A.F.},
volume = {7},
year = {2010},
month = {Jan},
pages = {145-152},
doi = {10.3844/ajassp.2010.145.152},
url = {https://thescipub.com/abstract/ajassp.2010.145.152},
abstract = {Problem statement: Power system oscillations affect system stability and may lead to failure if not properly controlled. Approach: A Takagi-Sugeno Fuzzy Gains Scheduled Proportional and Integral (FGPI) controller was proposed for a Thyristor Controlled Series Capacitor (TCSC)-based stabilizer to enhance the power system stability. Linguistic rules and fuzzy inference mechanism are utilized to tune the controller parameters on-line in different operating states. The proposed controller was applied to a single machine infinite bus system represented by the Phillips-Heffron generator model. Simulation studies have been carried out using MATLAB Fuzzy Logic toolbox. Simulated Annealing-based Power System Stabilizer (SAPSS) and Simulated Annealing-based TCSC Stabilizer (SACSC) approaches were also simulated in this study and their results were compared with proposed controller. Results: The simulation results demonstrated that the proposed control scheme performs well and strongly control the power system under different loading conditions, disturbances and system parameter variations. Conclusion: The proposed controller is robust and more suitable for damping of low frequency oscillation and more effective in improving dynamic stability and voltage profile than the two other approaches.},
journal = {American Journal of Applied Sciences},
publisher = {Science Publications}
}