Optimal design of direct-driven wind generator using Genetic Algorithm combined with Expert System

Shang Hoon Kim; Sang Yong Jung

doi:10.1109/CEFC.2010.5481699

Optimal design of direct-driven wind generator using Genetic Algorithm combined with Expert System

Shang Hoon Kim
, Sang Yong Jung

Dong-A University

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

Abstract

In this paper, the optimal design of a wind generator, implemented with the hybridized GA(Genetic Algorithm) and ES(Expert System), has been performed to maximize the AEP (Annual Energy Production) over the whole wind speed characterized by the statistical model of wind speed distribution. In particular, ES has contributed to reducing the excessive computing time maintaining the reliable accuracy for the optimization process compared with GA only.

Original language	English
Title of host publication	Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010
DOIs	https://doi.org/10.1109/CEFC.2010.5481699
State	Published - 2010
Externally published	Yes
Event	14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC2010 - Chicago, IL, United States Duration: 9 May 2010 → 12 May 2010

Publication series

Name	Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010

Conference

Conference	14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC2010
Country/Territory	United States
City	Chicago, IL
Period	9/05/10 → 12/05/10

UN SDGs

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

SDG 7 Affordable and Clean Energy

Access to Document

10.1109/CEFC.2010.5481699

Cite this

Kim, S. H., & Jung, S. Y. (2010). Optimal design of direct-driven wind generator using Genetic Algorithm combined with Expert System. In Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010 Article 5481699 (Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010). https://doi.org/10.1109/CEFC.2010.5481699

@inproceedings{70dd126946564c93a2f15aa90fe47d83,

title = "Optimal design of direct-driven wind generator using Genetic Algorithm combined with Expert System",

abstract = "In this paper, the optimal design of a wind generator, implemented with the hybridized GA(Genetic Algorithm) and ES(Expert System), has been performed to maximize the AEP (Annual Energy Production) over the whole wind speed characterized by the statistical model of wind speed distribution. In particular, ES has contributed to reducing the excessive computing time maintaining the reliable accuracy for the optimization process compared with GA only.",

author = "Kim, \{Shang Hoon\} and Jung, \{Sang Yong\}",

year = "2010",

doi = "10.1109/CEFC.2010.5481699",

language = "English",

isbn = "9781424470594",

series = "Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010",

booktitle = "Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010",

note = "14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC2010 ; Conference date: 09-05-2010 Through 12-05-2010",

}

Kim, SH & Jung, SY 2010, Optimal design of direct-driven wind generator using Genetic Algorithm combined with Expert System. in Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010., 5481699, Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010, 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC2010, Chicago, IL, United States, 9/05/10. https://doi.org/10.1109/CEFC.2010.5481699

Optimal design of direct-driven wind generator using Genetic Algorithm combined with Expert System. / Kim, Shang Hoon; Jung, Sang Yong.
Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010. 2010. 5481699 (Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010).

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

TY - GEN

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AU - Jung, Sang Yong

PY - 2010

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AB - In this paper, the optimal design of a wind generator, implemented with the hybridized GA(Genetic Algorithm) and ES(Expert System), has been performed to maximize the AEP (Annual Energy Production) over the whole wind speed characterized by the statistical model of wind speed distribution. In particular, ES has contributed to reducing the excessive computing time maintaining the reliable accuracy for the optimization process compared with GA only.

UR - https://www.scopus.com/pages/publications/77954784786

U2 - 10.1109/CEFC.2010.5481699

DO - 10.1109/CEFC.2010.5481699

M3 - Conference contribution

AN - SCOPUS:77954784786

SN - 9781424470594

T3 - Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010

BT - Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010

T2 - 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC2010

Y2 - 9 May 2010 through 12 May 2010

ER -

Optimal design of direct-driven wind generator using Genetic Algorithm combined with Expert System

Abstract

Publication series

Conference

UN SDGs

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