Multiobjective design optimization of stator for synchronous generator using bat algorithm and analysis of magnetic flux density distribution
Özet
In this study, we aimed to optimize 3000 kVAsynchronous generator (SG) stator design to obtain the desiredmagneticflux density distribution and efficiency. We usedMaxwell simulations for experiments on some design parametersof stator (slot height and teeth width). Then second-orderregression models are calculated that represent the relationsbetween the factors (design parameters) and the measuredperformance criteria (called as the responses: stator-teethfluxdensity, stator-yokeflux density, and efficiency). These regressionmodels are used at the multiobjective optimization phase. Batalgorithm (BA) is used for performing the multiobjectiveoptimization. By combining Maxwell with regression modelingand BA, the efficiency of the SG is increased to 96.84% from96.5% with a more acceptable magneticflux density (between1.65 and 1.70 T ranges). The stator-teethflux density and stator-yokeflux density are calculated as 1.9 T and 2.07 T for thecurrent SG, whereas these values are reduced to 1.647 and 1,634T, respectively, for the optimized SG. Results of this study showhow the numerical simulation can be successfully combined withthe BA to improve the efficiency of the SG by providing thedesired magneticflux density distribution.
