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Optimization of HTS superconducting magnetic energy storage magnet volume

机译:HTS超导储能磁体体积的优化

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Nonlinear optimization problems in the field of electromagnetics have been successfully solved by means of sequential quadratic programming (SQP) and the finite element method (FEM). For example, the combination of SQP and FEM has been proven to be an efficient tool in the optimization of low temperature superconductors (LTS) superconducting magnetic energy storage (SMES) magnets. The procedure can also be applied for the optimization of HTS magnets. However, due to a strongly anisotropic material and a slanted electric field, current density characteristic high temperature superconductors HTS optimization is quite different from that of the LTS. In this paper the volumes of solenoidal conduction-cooled Bi-2223/Ag SMES magnets have been optimized at the operation temperature of 20 K. In addition to the electromagnetic constraints the stress caused by the tape bending has also been taken into account. Several optimization runs with different initial geometries were performed in order to find the best possible solution for a certain energy requirement. The optimization constraints describe the steady-state operation, thus the presented coil geometries are designed for slow ramping rates. Different energy requirements were investigated in order to find the energy dependence of the design parameters of optimized solenoidal HTS coils. According to the results, these dependences can be described with polynomial expressions.
机译:通过顺序二次规划(SQP)和有限元方法(FEM)已成功解决了电磁学领域的非线性优化问题。例如,SQP和FEM的组合已被证明是优化低温超导体(LTS)超导磁能存储(SMES)磁体的有效工具。该程序也可用于优化HTS磁体。然而,由于强各向异性材料和倾斜电场,电流密度特性高温超导体HTS优化与LTS的优化有很大不同。本文在20 K的工作温度下优化了螺线管传导冷却的Bi-2223 / Ag SMES磁体的体积。除了电磁约束之外,还考虑了由胶带弯曲引起的应力。为了找到满足特定能量需求的最佳解决方案,进行了几种具有不同初始几何形状的优化运行。优化约束描述了稳态操作,因此,提出的线圈几何形状设计用于缓慢的斜坡速率。为了找到优化的HTS电磁线圈设计参数的能量依赖性,研究了不同的能量需求。根据结果​​,这些相关性可以用多项式表示。

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