Reliability-based design optimization of a superconducting magnetic energy storage system (SMES) utilizing reliability index approach

Giwoo Jeung; Dong Wook Kim; Young Hwa Sung; Heung Geun Kim; Dong Hun Kim

doi:10.4283/JMAG.2012.17.1.046

Reliability-based design optimization of a superconducting magnetic energy storage system (SMES) utilizing reliability index approach

Giwoo Jeung, Dong Wook Kim, Young Hwa Sung, Heung Geun Kim, Dong Hun Kim

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

10 Scopus citations

Abstract

A reliability-based optimization method for electromagnetic design is presented to take uncertainties of design parameters into account. The method can provide an optimal design satisfying a specified confidence level in the presence of uncertain parameters. To achieve the goal, the reliability index approach based on the first-order reliability method is adopted to deal with probabilistic constraint functions and a double-loop optimization algorithm is implemented to obtain an optimum. The proposed method is applied to the TEAM Workshop Problem 22 and its accuracy and efficiency is verified with reference of Monte Carlo simulation results.

Original language	English
Pages (from-to)	46-50
Number of pages	5
Journal	Journal of Magnetics
Volume	17
Issue number	1
DOIs	https://doi.org/10.4283/JMAG.2012.17.1.046
State	Published - Mar 2012

Keywords

Electromagnetic fields
Optimization
Reliability theory
Robustness

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10.4283/JMAG.2012.17.1.046

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abstract = "A reliability-based optimization method for electromagnetic design is presented to take uncertainties of design parameters into account. The method can provide an optimal design satisfying a specified confidence level in the presence of uncertain parameters. To achieve the goal, the reliability index approach based on the first-order reliability method is adopted to deal with probabilistic constraint functions and a double-loop optimization algorithm is implemented to obtain an optimum. The proposed method is applied to the TEAM Workshop Problem 22 and its accuracy and efficiency is verified with reference of Monte Carlo simulation results.",

keywords = "Electromagnetic fields, Optimization, Reliability theory, Robustness",

author = "Giwoo Jeung and Kim, {Dong Wook} and Sung, {Young Hwa} and Kim, {Heung Geun} and Kim, {Dong Hun}",

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AU - Jeung, Giwoo

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AU - Kim, Heung Geun

AU - Kim, Dong Hun

PY - 2012/3

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AB - A reliability-based optimization method for electromagnetic design is presented to take uncertainties of design parameters into account. The method can provide an optimal design satisfying a specified confidence level in the presence of uncertain parameters. To achieve the goal, the reliability index approach based on the first-order reliability method is adopted to deal with probabilistic constraint functions and a double-loop optimization algorithm is implemented to obtain an optimum. The proposed method is applied to the TEAM Workshop Problem 22 and its accuracy and efficiency is verified with reference of Monte Carlo simulation results.

KW - Electromagnetic fields

KW - Optimization

KW - Reliability theory

KW - Robustness

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Reliability-based design optimization of a superconducting magnetic energy storage system (SMES) utilizing reliability index approach

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Keywords

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