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Journal of the Korean Institute of Illuminating and Electrical Installation Engineers

ISO Journal TitleJ Korean Inst. IIIum. Electr. Install. Eng.
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Title Optimal Design of Direct-Driven Wind Generator Using Genetic Algorithm Combined with Expert System
Authors Sang-Hoon Kim ; Sang-Yong Jung
DOI http://dx.doi.org/10.5207/JIEIE.2010.24.10.149
Page pp.149-156
ISSN 1225-1135
Keywords Direct-Driven Wind Generator ; Optimization ; GA(Genetic Algorithm) ; ES(Expert System) ; CBR(Case Based Reasoning) ; AEP(Annual Energy Production) ; Mutation Rate
Abstract In this paper, the optimal design of a wind generator, implemented with the hybridized GA(Genetic Algorithm) and ES(Expert System), has been performed to maximize the AEP(Annual Energy Production) over the whole wind speed characterized by the statistical model of wind speed distribution. In particular, to solve the problem of calculation iterate, ES finds the superior individual and apply to initial generation of GA and it makes reduction of search domain. Meanwhile, for effective searching in reduced search domain, it propose Intelligent GA algorithm. Also, it shows the results of optimized model 500[㎾] wind generator using hybridized algorithm and benchmark result of compare with GA.