Numerically Efficient Algorithm for Reliability-Based Robust Optimal Design of TEAM Problem 22

摘要

The robust optimization and reliability-based optimization have been proven effective to deal with uncertainties in design variables. However, there are scarcely any publications about comparison of robust and reliable designs, not to mention the combination of robustness and reliability in the electrical engineering. In this paper, the optimal design of superconducting magnetic energy storage system is taken as an example to comparatively investigate robust and reliable designs. Furthermore, the performance robustness and constraint feasibility are integrated into a single optimization model—reliability-based robust design optimization (RBRDO). The proposed RBRDO formulation yields results that provide new alternatives to the designer.