This paper describes a novel power system stabilizer based on fuzzy logic theory (FLPSS) for damping power system oscillations focusing on inter-area modes. In particular, the adaptive fuzzy power system stabilizers using both off-line and on-line training. The determination of the associated domains of the fuzzy logic power system stabilizer is obtained by off-line training using a pre-designed optimal controller. Computer simulations for a test power system when su bjected to small disturbances under normal and stressed operating conditions are carried out. The digital simulation results show that the proposed controller proves its effectiveness and improves the system damping when compared to a lead-lag and an optimal power system stabilizer controllers.
El- Serafi, K., & Abdel-Azim, T. (2014). Inter-Area Oscillation Damping With A Near-Optimal Fuzzy Logic Stabilizer. Port-Said Engineering Research Journal, 18(1), 1-6. doi: 10.21608/pserj.2014.46640
MLA
Kamal El- Serafi; T Abdel-Azim. "Inter-Area Oscillation Damping With A Near-Optimal Fuzzy Logic Stabilizer". Port-Said Engineering Research Journal, 18, 1, 2014, 1-6. doi: 10.21608/pserj.2014.46640
HARVARD
El- Serafi, K., Abdel-Azim, T. (2014). 'Inter-Area Oscillation Damping With A Near-Optimal Fuzzy Logic Stabilizer', Port-Said Engineering Research Journal, 18(1), pp. 1-6. doi: 10.21608/pserj.2014.46640
VANCOUVER
El- Serafi, K., Abdel-Azim, T. Inter-Area Oscillation Damping With A Near-Optimal Fuzzy Logic Stabilizer. Port-Said Engineering Research Journal, 2014; 18(1): 1-6. doi: 10.21608/pserj.2014.46640