Study on HTS SMES Coil for Optimized Dimensions

被引：3

作者：

Anand, Ankit ^{[1
]}

Gour, Abhay Singh ^{[1
]}

Datta, Tripti Sekhar ^{[1
]}

Rao, Vutukuru Vasudeva ^{[1
]}

机构：

[1] Indian Inst Technol Kharagpur, Cryogen Engn Ctr, Kharagpur 721302, India

来源：

IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY | 2023年 / 33卷 / 07期

关键词：

High-temperature superconductor (HTS) superconducting magnet energy storage (SMES); optimization; solenoid; teaching learning-based optimization (TLBO); MAGNETIC-FIELD; DESIGN; FABRICATION; TESTS;

D O I：

10.1109/TASC.2023.3289092

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Superconducting magnetic energy storage (SMES) stores energy in the form of a magnetic field and is being used in many applications, such as load-leveling, pulsating power supply, and instantaneous voltage drop compensation. Optimization of dimensions is required for reducing the refrigeration cost, cost of second-generation high-temperature superconductor (HTS), structural support, and cryostat dimensions. A generic objective function was developed for a fixed energy storage, with minimum length having von-Mises stress below the critical stress. A parameterless, population-based optimization method, i.e., teaching learning-based optimization is used to obtain the dimensions of HTS coil. These HTS coils then can be stacked together to make the desired magnetic energy storage system. The effect of various dimensions on optimized length is studied and presented.

引用

页数：11

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