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Takagi-sugeno fuzzy gains scheduled PI controller for enhancement of power system stability
American Journal of Applied Sciences (2010)
  • Prof Mahmoud Moghavvemi, University of Malaya
  • L.H. Hassan
  • H.A.F. Mohamed

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.

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Citation Information
Prof Mahmoud Moghavvemi, L.H. Hassan and H.A.F. Mohamed. "Takagi-sugeno fuzzy gains scheduled PI controller for enhancement of power system stability" American Journal of Applied Sciences Vol. 7 Iss. 1 (2010)
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