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.
Saleh, R. A. F. (2009). PARTICLE SWARM-AIDED DESIGN OF A FUZZY LOGIC STABILIZER FOR A SUPERCONDUCTING GENERATOR IN A MULTI-MACHLNE POWER SYSTEM. ERJ. Engineering Research Journal, 32(4), 403-410. doi: 10.21608/erjm.2009.69509
MLA
Ragaey A. F. Saleh. "PARTICLE SWARM-AIDED DESIGN OF A FUZZY LOGIC STABILIZER FOR A SUPERCONDUCTING GENERATOR IN A MULTI-MACHLNE POWER SYSTEM", ERJ. Engineering Research Journal, 32, 4, 2009, 403-410. doi: 10.21608/erjm.2009.69509
HARVARD
Saleh, R. A. F. (2009). 'PARTICLE SWARM-AIDED DESIGN OF A FUZZY LOGIC STABILIZER FOR A SUPERCONDUCTING GENERATOR IN A MULTI-MACHLNE POWER SYSTEM', ERJ. Engineering Research Journal, 32(4), pp. 403-410. doi: 10.21608/erjm.2009.69509
VANCOUVER
Saleh, R. A. F. PARTICLE SWARM-AIDED DESIGN OF A FUZZY LOGIC STABILIZER FOR A SUPERCONDUCTING GENERATOR IN A MULTI-MACHLNE POWER SYSTEM. ERJ. Engineering Research Journal, 2009; 32(4): 403-410. doi: 10.21608/erjm.2009.69509
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