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http://dx.doi.org/10.5370/JEET.2008.3.4.552

Optimal Design of a Direct-Driven PM Wind Generator Aimed at Maximum AEP using Coupled FEA and Parallel Computing GA  

Jung, Ho-Chang (Dept. of Electrical Engineering, Dong-A University)
Lee, Cheol-Gyun (Dept. of Electrical Engineering, Dong-Eui University)
Hahn, Sung-Chin (Dept. of Electrical Engineering, Dong-A University)
Jung, Sang-Yong (Dept. of Electrical Engineering, Dong-A University)
Publication Information
Journal of Electrical Engineering and Technology / v.3, no.4, 2008 , pp. 552-558 More about this Journal
Abstract
Optimal design of the direct-driven Permanent Magnet(PM) wind generator, combined with F.E.A(Finite Element Analysis) and Genetic Algorithm(GA), has been performed to maximize the Annual Energy Production(AEP) over the entire wind speed characterized by the statistical model of wind speed distribution. Particularly, the proposed parallel computing via internet web service has contributed to reducing excessive computing times for optimization.
Keywords
Annual Energy Production(AEP); Genetic Algorithm(GA); parallel computing; PM wind generator;
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