Optimal design of direct-driven PM wind generator applying parallel computing genetic algorithm

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

doi:10.1109/ICEMS12746.2007.4412186

Optimal design of direct-driven PM wind generator applying parallel computing genetic algorithm

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

Optimal design of the direct-driven PM wind generator, coupled 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. Internet distributed computing is proposed for the real world and complex optimization such as optimal design of direct-driven PM wind generator. Particularly, the parallel computing via internet web service has been applied to loose excessive computing times for optimization.

Original language	English
Title of host publication	Proceeding of International Conference on Electrical Machines and Systems, ICEMS 2007
Publisher	IEEE Computer Society
Pages	763-768
Number of pages	6
ISBN (Print)	8986510081, 9788986510089
DOIs	https://doi.org/10.1109/ICEMS12746.2007.4412186
State	Published - 2007
Externally published	Yes
Event	International Conference on Electrical Machines and Systems, ICEMS 2007 - Seoul, Korea, Republic of Duration: 8 Oct 2007 → 11 Oct 2007

Publication series

Name	Proceeding of International Conference on Electrical Machines and Systems, ICEMS 2007

Conference

Conference	International Conference on Electrical Machines and Systems, ICEMS 2007
Country/Territory	Korea, Republic of
City	Seoul
Period	8/10/07 → 11/10/07

UN SDGs

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

SDG 7 Affordable and Clean Energy

Access to Document

10.1109/ICEMS12746.2007.4412186

Cite this

Jung, H., Lee, C. G., Hahn, S. C., & Jung, S. Y. (2007). Optimal design of direct-driven PM wind generator applying parallel computing genetic algorithm. In Proceeding of International Conference on Electrical Machines and Systems, ICEMS 2007 (pp. 763-768). Article 4412186 (Proceeding of International Conference on Electrical Machines and Systems, ICEMS 2007). IEEE Computer Society. https://doi.org/10.1109/ICEMS12746.2007.4412186

Jung, Hochang ; Lee, Cheol Gyun ; Hahn, Sung Chin et al. / Optimal design of direct-driven PM wind generator applying parallel computing genetic algorithm. Proceeding of International Conference on Electrical Machines and Systems, ICEMS 2007. IEEE Computer Society, 2007. pp. 763-768 (Proceeding of International Conference on Electrical Machines and Systems, ICEMS 2007).

@inproceedings{2b2503627ece40b885ab3978e9d25baa,

title = "Optimal design of direct-driven PM wind generator applying parallel computing genetic algorithm",

abstract = "Optimal design of the direct-driven PM wind generator, coupled 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. Internet distributed computing is proposed for the real world and complex optimization such as optimal design of direct-driven PM wind generator. Particularly, the parallel computing via internet web service has been applied to loose excessive computing times for optimization.",

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

year = "2007",

doi = "10.1109/ICEMS12746.2007.4412186",

language = "English",

isbn = "8986510081",

series = "Proceeding of International Conference on Electrical Machines and Systems, ICEMS 2007",

publisher = "IEEE Computer Society",

pages = "763--768",

booktitle = "Proceeding of International Conference on Electrical Machines and Systems, ICEMS 2007",

note = "International Conference on Electrical Machines and Systems, ICEMS 2007 ; Conference date: 08-10-2007 Through 11-10-2007",

}

Jung, H, Lee, CG, Hahn, SC & Jung, SY 2007, Optimal design of direct-driven PM wind generator applying parallel computing genetic algorithm. in Proceeding of International Conference on Electrical Machines and Systems, ICEMS 2007., 4412186, Proceeding of International Conference on Electrical Machines and Systems, ICEMS 2007, IEEE Computer Society, pp. 763-768, International Conference on Electrical Machines and Systems, ICEMS 2007, Seoul, Korea, Republic of, 8/10/07. https://doi.org/10.1109/ICEMS12746.2007.4412186

Optimal design of direct-driven PM wind generator applying parallel computing genetic algorithm. / Jung, Hochang; Lee, Cheol Gyun; Hahn, Sung Chin et al.
Proceeding of International Conference on Electrical Machines and Systems, ICEMS 2007. IEEE Computer Society, 2007. p. 763-768 4412186 (Proceeding of International Conference on Electrical Machines and Systems, ICEMS 2007).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Jung, Hochang

AU - Lee, Cheol Gyun

AU - Hahn, Sung Chin

AU - Jung, Sang Yong

PY - 2007

Y1 - 2007

N2 - Optimal design of the direct-driven PM wind generator, coupled 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. Internet distributed computing is proposed for the real world and complex optimization such as optimal design of direct-driven PM wind generator. 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 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. Internet distributed computing is proposed for the real world and complex optimization such as optimal design of direct-driven PM wind generator. Particularly, the parallel computing via internet web service has been applied to loose excessive computing times for optimization.

UR - https://www.scopus.com/pages/publications/50049134759

U2 - 10.1109/ICEMS12746.2007.4412186

DO - 10.1109/ICEMS12746.2007.4412186

M3 - Conference contribution

AN - SCOPUS:50049134759

SN - 8986510081

SN - 9788986510089

T3 - Proceeding of International Conference on Electrical Machines and Systems, ICEMS 2007

SP - 763

EP - 768

BT - Proceeding of International Conference on Electrical Machines and Systems, ICEMS 2007

PB - IEEE Computer Society

T2 - International Conference on Electrical Machines and Systems, ICEMS 2007

Y2 - 8 October 2007 through 11 October 2007

ER -

Jung H, Lee CG, Hahn SC, Jung SY. Optimal design of direct-driven PM wind generator applying parallel computing genetic algorithm. In Proceeding of International Conference on Electrical Machines and Systems, ICEMS 2007. IEEE Computer Society. 2007. p. 763-768. 4412186. (Proceeding of International Conference on Electrical Machines and Systems, ICEMS 2007). doi: 10.1109/ICEMS12746.2007.4412186

Optimal design of direct-driven PM wind generator applying parallel computing genetic algorithm

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