Study on HTS SMES Coil for Optimized Dimensions

Superconducting magnetic energy storage (SMES) stores energy in the form of a magnetic field and is being used in many applications, such as load-leveling, pulsating power supply, and instantaneous voltage drop compensation. Optimization of dimensions is required for reducing the refrigeration cost, cost of second-generation high-temperature superconductor (HTS), structural support, and cryostat dimensions. A generic objective function was developed for a fixed energy storage, with minimum length having von-Mises stress below the critical stress. A parameterless, population-based optimization method, i.e., teaching learning-based optimization is used to obtain the dimensions of HTS coil. These HTS coils then can be stacked together to make the desired magnetic energy storage system. The effect of various dimensions on optimized length is studied and presented.