Superconducting magnetic energy storage magnet optimization design method based on MATLAB and COMSOL joint simulation

Abstract

The invention relates to a superconducting magnetic energy storage magnet optimization design method based on MATLAB and COMSOL joint simulation. The method mainly comprises the following steps: (1) writing an algorithm for optimization design of a high-temperature superconducting energy storage magnet by utilizing powerful data processing and optimization design capabilities of MATLAB; (2) establishing an electromagnetic calculation model of the high-temperature superconducting energy storage magnet by utilizing the advantages of strong finite element modeling capability, efficient and accurate calculation result and the like of the COMSOL; and (3) utilizing data interfaces of MATLAB and COMSOL to achieve calling of an electromagnetic calculation model of COMSOL in an MATLAB optimizationalgorithm, and achieving a joint optimization design model with complementary advantages. The closed-loop optimization of the optimization design of the high-temperature superconducting energy storagemagnet is achieved, and the accuracy of the design of the high-temperature superconducting energy storage magnet can be effectively improved.

Description

technical field [0001] The invention relates to an optimal design method of a superconducting energy storage magnet based on joint simulation of MATLAB and COMSOL, which can be used for the optimal design of a high temperature superconducting energy storage magnet. Background technique [0002] High-temperature superconducting energy storage magnet is the core component of HTS SMES, and the rationality of its design directly affects whether the superconducting energy storage device can operate safely and reliably. The optimization design process of high-temperature superconducting energy storage magnets usually consists of steps such as the determination of optimization objectives, the determination of optimization algorithms, the determination of optimization variables, the setting of constraint conditions, and post-processing. So far, the design methods of energy storage magnets for SMES are mostly aimed at increasing the total energy storage and reducing the amount of sup...

AI Technical Summary

Problems solved by technology

ANSYS, Femlab, and COMSOL have unique advantages in electromagnetic simulation and fast realization of multi-physics joint simulation. They have the advantages of strong electromagnetic calculation ability and accurate electromagnetic calculation results, but they have the disadvantage of weak calculation and optimization calculation ability.

MATLAB has powerful data analysis and numerical calculation capabilities, but has shortcomings such as weak electromagnetic calculation capabilities and poor effects of establishing finite element models.

There are still many problems to be solved in the design process of high temperature superconducting energy storage magnets, such as poor model convergence, long calculation time, etc.

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