DocumentCode
1066915
Title
Conceptual Design of HTS Coil for SMES Using YBCO Coated Conductor
Author
Higashikawa, Kohei ; Nakamura, Taketsune ; Shikimachi, Koji ; Hirano, Naoki ; Nagaya, Shigeo ; Kiss, Takanobu ; Inoue, Masayoshi
Author_Institution
Kyoto Univ., Kyoto
Volume
17
Issue
2
fYear
2007
fDate
6/1/2007 12:00:00 AM
Firstpage
1990
Lastpage
1993
Abstract
High Tc superconducting (HTS) toroidal coil using YBCO coated conductor is designed for 70 MJ class superconducting magnetic energy storage (SMES) for power system control. Its configuration and shape are optimized by means of genetic algorithm (GA) to minimize the required length of the conductor. The optimization is performed for two kinds of constrains, i.e., maximum electric field or flux flow loss of the coil, which are calculated by means of finite element method (FEM). The FEM analysis considers quantitative current density (J)-electric field (E) expressions based on percolation transition model. It is shown that the great transport performance against magnetic field of YBCO coated conductor can realize a very compact SMES coil compared with an existing Nb-Ti´s one.
Keywords
barium compounds; finite element analysis; genetic algorithms; high-temperature superconductors; superconducting coils; superconducting magnet energy storage; yttrium compounds; FEM analysis; YBCO coated conductor; YBa2Cu3O7; energy 70 MJ; finite element method; flux flow loss; genetic algorithm; high-Tc superconducting toroidal coil; percolation transition model; power system control; quantitative current density-electric field expressions; superconducting magnetic energy storage; Conductors; Constraint optimization; Genetic algorithms; High temperature superconductors; Power system control; Samarium; Shape; Superconducting coils; Superconducting magnetic energy storage; Yttrium barium copper oxide; Finite element method; SMES; YBCO coated conductor; genetic algorithm; optimal design;
fLanguage
English
Journal_Title
Applied Superconductivity, IEEE Transactions on
Publisher
ieee
ISSN
1051-8223
Type
jour
DOI
10.1109/TASC.2007.898947
Filename
4277447
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