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

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

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 distri...

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Veröffentlicht in:Journal of electrical engineering & technology 2008, 3(4), , pp.552-558
Hauptverfasser: Jung, Ho-Chang, Lee, Cheol-Gyun, Hahn, Sung-Chin, Jung, Sang-Yong
Format: Artikel
Sprache:eng
Schlagworte:
전기공학
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Zusammenfassung: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. KCI Citation Count: 7
ISSN:1975-0102
2093-7423
DOI:10.5370/JEET.2008.3.4.552