Multilevel six-sigma robust optimization of a superconducting magnetic energy storage

Superconducting magnetic energy storage (SMES) is an important device in renewable systems. It can improve the power supply quality and enhance the stability and reliability of power system. This work will investigate the manufacturing and operating reliability and quality of SMES based on a benchmark problem so as to improve its industry applications. Robust design optimization based on a technique called design for Six-Sigma is presented to investigate the above problem. Meanwhile, multilevel optimization method is employed to reduce the computation cost of finite element analysis due to high-dimensional parameters. As shown, the reliability and quality of the SMES after robust optimization have been improved significantly.