Optimal design of direct-driven PM wind generator for maximum annual energy production

Sang Yong Jung; Hochang Jung; Sung Chin Hahn; Hyun Kyo Jung; Cheol Gyun Lee

doi:10.1109/TMAG.2007.916250

Optimal design of direct-driven PM wind generator for maximum annual energy production

Sang Yong Jung, Hochang Jung, Sung Chin Hahn, Hyun Kyo Jung, Cheol Gyun Lee

Research output: Contribution to journal › Article › peer-review

49 Scopus citations

Abstract

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.

Original language	English
Article number	4526905
Pages (from-to)	1062-1065
Number of pages	4
Journal	IEEE Transactions on Magnetics
Volume	44
Issue number	6
DOIs	https://doi.org/10.1109/TMAG.2007.916250
State	Published - Jun 2008
Externally published	Yes

Keywords

Annual energy production (AEP)
Genetic algorithm (GA)
Parallel computing, permanent magnet (PM) wind generator

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/TMAG.2007.916250

Cite this

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title = "Optimal design of direct-driven PM wind generator for maximum annual energy production",

abstract = "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.",

keywords = "Annual energy production (AEP), Genetic algorithm (GA), Parallel computing, permanent magnet (PM) wind generator",

author = "Jung, \{Sang Yong\} and Hochang Jung and Hahn, \{Sung Chin\} and Jung, \{Hyun Kyo\} and Lee, \{Cheol Gyun\}",

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AU - Jung, Sang Yong

AU - Jung, Hochang

AU - Hahn, Sung Chin

AU - Jung, Hyun Kyo

AU - Lee, Cheol Gyun

PY - 2008/6

Y1 - 2008/6

N2 - 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.

AB - 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.

KW - Annual energy production (AEP)

KW - Genetic algorithm (GA)

KW - Parallel computing, permanent magnet (PM) wind generator

UR - https://www.scopus.com/pages/publications/44049107234

U2 - 10.1109/TMAG.2007.916250

DO - 10.1109/TMAG.2007.916250

M3 - Article

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JO - IEEE Transactions on Magnetics

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Optimal design of direct-driven PM wind generator for maximum annual energy production

Abstract

Keywords

UN SDGs

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