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

Hochang Jung, Won Jeon, Cheol Gyun Lee, Sung Chin Hahn, Sang Yong Jung

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

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 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.

Original languageEnglish
Title of host publicationProceedings - 34th Annual Conference of the IEEE Industrial Electronics Society, IECON 2008
PublisherIEEE Computer Society
Pages2045-2050
Number of pages6
ISBN (Print)9781424417667
DOIs
StatePublished - 2008
Externally publishedYes

Publication series

NameIECON Proceedings (Industrial Electronics Conference)

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