Optimal design of direct-driven PM wind generator aimed for maximum AEP using parallel computing GA based on internet web service

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 whole wind speed characterized by the statistical model of wind speed distributio...

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Bibliographic Details
Published in2008 34th Annual Conference of IEEE Industrial Electronics pp. 2045 - 2050
Main Authors Hochang Jung, Won Jeon, Cheol-Gyun Lee, Sung-Chin Hahn, Sang-Yong Jung
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2008
Subjects
Algorithm design and analysis
Character generation
Genetics
Magnetic analysis
Parallel processing
Performance analysis
Web and internet services
Web services
Wind energy generation
Wind speed
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Summary: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 whole 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.
ISBN:9781424417674
1424417678
ISSN:1553-572X
DOI:10.1109/IECON.2008.4758271