Optimization of modular toroid coil geometry of a superconducting Magnetic Energy Storage device using design of experiments and FEM

A. Dolan, Florian Stefanescu
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引用次数: 6

Abstract

The Superconducting Magnetic Energy Storage (SMES) system is a modern and expensive technique for storage of electricity through the magnetic energy in superconducting short-circuited coil. An optimized configuration must reduce as much as possible the volume of the superconducting material. In this paper is proposed an optimized solution of modular toroid coil geometry of SMES device using design of experiments (DOE) and finite element method (FEM). DOE is a rational realization of a series of real experiments a priori expensive and therefore it fits to the electromagnetic simulations (virtual experiments). Applied to the electrical systems modeled by FEM, it becomes a basic tool for optimization problems. Two geometric parameters characterizing the torus shape were chosen to determine the optimal configuration of the coil geometry of a SMES device for an optimized storage capacity. The ratio of maximum stored magnetic energy and the minimum volume of superconducting material was set as objective function. To solve it, the method of zooms without computation of models was used. The 2-D FEM implementation uses an equivalent rectangular cross section toroid, conserving the inductance of the system. The optimization results are obtained with less than 1% error. Comparison with previous numerical tests was made.
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利用实验设计和有限元法优化超导磁储能装置模块化环面线圈几何结构
超导磁能存储系统是利用超导短路线圈中的磁能来存储电能的一种现代而昂贵的技术。优化的结构必须尽可能地减少超导材料的体积。本文采用实验设计和有限元方法,提出了SMES器件模块化环面线圈几何形状的优化解。DOE是一系列先验真实实验的合理实现,因此适合于电磁仿真(虚拟实验)。将其应用于以有限元方法建模的电力系统,成为求解优化问题的基本工具。选择表征环面形状的两个几何参数来确定SMES器件线圈几何形状的最佳配置,以优化存储容量。以超导材料的最大存储磁能与最小体积之比为目标函数。为了解决这一问题,采用了不计算模型的变焦法。二维有限元实现采用等效矩形截面环面,保留了系统的电感。优化结果误差小于1%。并与以往数值试验结果进行了比较。
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