Stability of a multi-machine system incorporating a superconducting alternator

Rahim, Y.H.A.; Osheba, S. M.; Alyan, M.A.A.S.; Al-Ohaly, A.A.

doi:10.1109/60.8051

Cited by 5 publications

(1 citation statement)

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“…The importance of this issue increases when considering a superconducting generator in a multi-machine system. In the past, a number of investigations have been conducted to study and improve the behaviour of a superconducting generator in a multi-machine system [4-51, The results reported in [4] show that the incorporation of a SCG in a multi-machine system increases its stability reserve, but slightly reduces the overall damping of the system. However, a good improvement in the performance and stability limits can be achieved by using a conventional lead stabilizer in the governor loop of the SCG [5].…”

Section: Introductionmentioning

confidence: 99%

Particle Swarm-Aided Design of a Fuzzy Logic Stabilizer for a Superconducting Generator in a Multi-Machlne Power System

Saleh

2009

ERJ. Engineering Research Journal

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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. 3 ++I + i + l l l a L J) I &, ' & dj19 +-&I 41I-A. r++ %&-1 lia & & j. &I d j i d & I d ell+! Lk;i .cluirl JJ& &> , u ; ; ! &Ah &Jr!l j;Li d d ji&YI d j d l C & L + u l &I$ &+ +i 3 .&-dl oh 2 & i ! J h 3 d d l &JU 2 d + u l &+ $&I $ .&\dl &I@ % J 3 w l &w 4\91 4s 3 b J U 1 3 &\dl &I@ @~i j ~3. d j i d l +I$! $ Jl;ji +d (@ I d J! J?JI 2 J. & +lPi +&l &A) Q.-j+l 3 ~l~i 2 P I 3 # J! ? y I I a 1 9 $3. &IJ! e l d l d j l y l l dl ELSLdI. L).JJ4"JI

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Section: Introductionmentioning

confidence: 99%