Optimal Design of Direct-Driven PM Wind Generator for Maximum Annual Energy Production

Optimal Design of Direct-Driven PM Wind Generator for Maximum Annual Energy Production

Optimal design of the direct-driven PM wind generator, coupled with finite element analysis and genetic algorithm, has been performed to maximize the annual energy production over the whole wind speed characterized by the statistical model of wind speed distribution. Particularly, the parallel compu...

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Veröffentlicht in:IEEE transactions on magnetics 2008-06, Vol.44 (6), p.1062-1065
Hauptverfasser: JUNG, Sang-Yong, JUNG, Hochang, HAHN, Sung-Chin, JUNG, Hyun-Kyo, LEE, Cheol-Gyun
Format: Artikel
Sprache:eng
Schlagworte:
Algorithm design and analysis
Annual energy production (AEP)
Character generation
Computational efficiency
Coupled mode analysis
Cross-disciplinary physics: materials science
rheology
Design engineering
Exact sciences and technology
Finite element methods
Generators
genetic algorithm (GA)
Genetic algorithms
Internet
Magnetism
Materials science
Mathematical analysis
Optimization
Other topics in materials science
parallel computing
Parallel processing
Performance analysis
permanent magnet (PM) wind generator
Physics
Production
Statistical analysis
Wind energy generation
Wind speed
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Zusammenfassung:Optimal design of the direct-driven PM wind generator, coupled with finite element analysis and genetic algorithm, has been performed to maximize the annual energy production over the whole wind speed characterized by the statistical model of wind speed distribution. Particularly, the parallel computing via internet web service has been applied to loose excessive computing times for optimization.
ISSN:0018-9464
1941-0069
DOI:10.1109/TMAG.2007.916250