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

机译:使用实验设计和有限元法优化超导储能装置的模块化环形线圈几何形状

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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.
机译:超导磁能存储(SMES)系统是一种现代且昂贵的技术,用于通过超导短路线圈中的磁能来存储电能。优化的配置必须尽可能减少超导材料的体积。本文通过实验设计(DOE)和有限元方法(FEM)提出了SMES装置的模块化环形线圈几何形状的优化解决方案。 DOE是一系列实际实验的合理实现,其先验成本很高,因此适合电磁仿真(虚拟实验)。应用于FEM建模的电气系统,它成为解决优化问题的基本工具。选择两个表征圆环形状的几何参数来确定SMES设备的线圈几何形状的最佳配置,以实现最佳的存储容量。将最大存储磁能与最小体积的超导材料之比设为目标函数。为了解决该问题,使用了无需模型计算的缩放方法。 2-D FEM实现使用等效的矩形横截面环形线圈,从而节省了系统的电感。获得的优化结果误差小于1%。与以前的数值测试进行了比较。

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