PARTICLE SWARM-AIDED DESIGN OF A FUZZY LOGIC STABILIZER FOR A SUPERCONDUCTING GENERATOR IN A MULTI-MACHLNE POWER SYSTEM | ||||
| ERJ. Engineering Research Journal | ||||
| Article 1, Volume 32, Issue 4, October 2009, Page 403-410 PDF (737.94 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/erjm.2009.69509 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| Ragaey A. F. Saleh | ||||
| Department of Electrical Engineering, Faculty of Engineering, Minoufiya University, Shebin El-Kom, Egypt | ||||
| Abstract | ||||
| The application of a fuzzy logic stabilizer to enhance the stability of a superconducting generator (SCG) in a multi-machine power system is described. The proposed fuzzy stabilizer uses SCG speed deviation and acceleration as input signals; The stabilizer parameters set includes the scaling factors for input and output variables, as well as the overlap ratios of neighboring fuzzy membership functions of input variables. Particle swarm optimization (PSO) technique is employed lo search for optimal settings of the fuzzy stabilizer parameters. Simulation results show that the proposed, PSO-tuned fuzzy stabilizer provides good damping to SCG in a multi-machine environment when operating in conjunction with conventional stabilizers on other machines. | ||||
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