Method to Improve the Optimized Calculation Speed of Superconducting Magnetic Coil

This paper presents a method of improving the optimal calculation speed of the cake superconducting magnetic energy storage coil. The optimal size of the cake superconducting magnetic energy storage coil at a given total length of strip is obtained. The calculation speed of genetic algorithm and particle swarm algorithm when calculating the optimal coil size is analyzed and compared. Simulated results show that particle swarm algorithm converges faster than genetic algorithm. Experimental results verify the correctness of the simulated ones.