Different Types of Inference Method for Fuzzy Power System Stabilizer Analysis


  • Nur Safura Ab Khalid Universiti Teknologi Malaysia
  • Mohd Wazir Mustafa UTM
  • Rasyidah Mohamad Idris




Power system stabilizer, low-frequency oscillation, fuzzy controller, 2 machines 3 buses system, Matlab/Simulink


In this paper, fuzzy power system stabilizer (FPSS) is being analyzed. Power system stabilizer (PSS) is acknowledged in stability performance in power system by providing a damping signal for low-frequency oscillation. The application of fuzzy logic controller into power system stabilizer is being presented in the simulation of 2 machines 3 buses environment. The rules of fuzzy is constructed and the performance is being tested for different types of inference method applied to the FPSS. A type of contingency, single phase fault is being tested to validate the ability of the FPSS to overcome the oscillation and improve the stability of the system. The changes in rotor angles as well as the speed of each machine are being measured as the output responses of the FPSS. The simulation of the system is performed in MATLAB/SIMULINK environment. The superior responses for FPSS for both inference methods prove the capability of fuzzy controller to improve the stability of the system

Author Biography

Nur Safura Ab Khalid, Universiti Teknologi Malaysia

PhD Student, Department of Electrical Power Engineering


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How to Cite

Ab Khalid, N. S., Mustafa, M. W., & Mohamad Idris, R. (2017). Different Types of Inference Method for Fuzzy Power System Stabilizer Analysis. ELEKTRIKA- Journal of Electrical Engineering, 16(3), 17–22. https://doi.org/10.11113/elektrika.v16n3.65