Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Optimal Design of Contact Configuration for High Voltage Vacuum Interrupter Based on Response Surface Method and Multi Objective Genetic Algorithm

Authors
Na, Jin-YongHwang, RyulKim, GeonCha, Young-KwangJu, Heung-JinLee, Bang-Wook
Issue Date
Jun-2023
Publisher
Institute of Electrical and Electronics Engineers Inc.
Keywords
multi objective genetic algorithm; optimal design; response surface method; vacuum interrupter
Citation
2023 30th International Symposium on Discharges and Electrical Insulation in Vacuum (ISDEIV), v.2023-June, pp 453 - 456
Pages
4
Indexed
SCOPUS
Journal Title
2023 30th International Symposium on Discharges and Electrical Insulation in Vacuum (ISDEIV)
Volume
2023-June
Start Page
453
End Page
456
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/115337
DOI
10.23919/ISDEIV55268.2023.10199207
ISSN
1093-2941
Abstract
Magnetic field generated by the contacts of Vacuum Interrupter (VI) support the interruption of fault current. Therefore, the interruption performance of VI is mainly influenced by the contact configuration. To develop high voltage VI, it is important to design and optimize the contact configuration applicable in high voltage system. Various contact configurations have been suggested for high voltage VI in the literature, whereas the optimization technique of suggested designs has not been performed yet. Therefore, in this paper, the optimization technique of the contact configuration for high voltage VI was proposed based on response surface method (RSM) and multi objective genetic algorithm (MOGA). The four design factors and three objectives were considered for optimization. The four design factors are coil height (h), coil width (w), slit length (l) and mounted angle (a). The three objectives are maximum axial magnetic flux density at peak current (Bz), effective area (λ), and maximum axial magnetic flux density at current zero (Bzo). The optimization was performed by applying MOGA to the regression equation of the objectives derived by RSM with Central Composite Design (CCD). As a result of optimization, Bz and effective area increased by 6% and 9%, while Bzo decreased by 10%. Consequently, it was confirmed that the interruption performance of high voltage VI could be improved by optimization. © 2023 IEEJ.
Files in This Item
Appears in
Collections
COLLEGE OF ENGINEERING SCIENCES > SCHOOL OF ELECTRICAL ENGINEERING > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Lee, Bang Wook photo

Lee, Bang Wook
ERICA 공학대학 (SCHOOL OF ELECTRICAL ENGINEERING)
Read more

Altmetrics

Total Views & Downloads

BROWSE