DocumentCode
1069342
Title
Stress Analysis of HTS Magnet for a 600 kJ SMES
Author
Park, Myung-Jin ; Kwak, Sang-Yeop ; Kim, Woo-Seok ; Lee, Seung-Wook ; Hahn, Seung-Yong ; Lee, Ji-Kwang ; Han, Jin-Ho ; Choi, Kyeong-Dal ; Jung, Hyun-Kyo ; Seong, Ki-Chul ; Hahn, Song-Yop
Author_Institution
Electr. Eng. & Sci. Res. Inst., Seoul
Volume
17
Issue
2
fYear
2007
fDate
6/1/2007 12:00:00 AM
Firstpage
1994
Lastpage
1997
Abstract
Auto tuning niching genetic algorithm was used to design optimal HTS magnets for the 600 kJ class SMES system under several design constraint conditions. Constraint conditions were operation loss of magnet (less than 2 W), inductance of magnet (less than 24 H), the number of double pancake coils (about 10 DPCs), the number of turns of DPC (less than 300 turns), outer diameter of DPC (close to 800 mm) and total length of HTS wire in a DPC (less than 500 m). As a result of optimum design, we obtained design parameters for the 600 kJ SMES magnet according to two operating currents, 360 A and 370 A. However, even though the HTS magnet was designed optimally in respect to the electromagnetics, consideration of mechanical integrity due to the stress by Lorentz force must not be neglected for the stable operation of the SMES system. Therefore, we developed a program, through the finite element method (FEM), for stress analysis due to Lorentz force in operation of the SMES system. In this paper, the stresses (radial and hoop stress) imposed on the designed HTS magnets were calculated by the program, and the results of stress analysis were discussed.
Keywords
finite element analysis; genetic algorithms; high-temperature superconductors; stress analysis; superconducting coils; superconducting magnet energy storage; superconducting magnets; FEM; HTS magnets; SMES system; auto tuning niching genetic algorithm; current 360 A; current 370 A; double pancake coils; energy 600 kJ; finite element method; high temperature superconductor; stress analysis; superconducting magnetic energy storage; Algorithm design and analysis; Genetic algorithms; High temperature superconductors; Inductance; Lorentz covariance; Magnetic analysis; Magnetic losses; Samarium; Stress; Superconducting magnetic energy storage; HTS magnet; SMES; stress;
fLanguage
English
Journal_Title
Applied Superconductivity, IEEE Transactions on
Publisher
ieee
ISSN
1051-8223
Type
jour
DOI
10.1109/TASC.2007.898500
Filename
4277659
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