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《Proceedings of the CSEE》 2009-18
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Sequential Kriging Optimization Method for Superconducting Magnetic Energy Storage

LEI Gang1, LI Yan-bin2, SHAO Ke-ran1, YANG Guang-yuan1, ZHAO Jun1 (1. College of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, Hubei Province, China; 2. School of Electronic Information, Zhongyuan University of Technology, Zhengzhou 450007, Henan Province, China)  
Superconducting magnetic energy storage (SMES) is a research hotspot in the application field of superconducting materials. Using the property of low loss and fast response of superconducting magnet, SMES is employed as a multifunctional electromagnetic system to store and release the power for power system with the connection of power electronic converters. SMES has capacity to reach the objects, such as storing large amount of energy with very low loss, improving the power supply quality and enhancing the stability and reliability of power system. IEEE TEAM Workshop Problem 22 deals with the optimization design of SMES, which is a benchmark problem including low and high dimensional, discrete and continuous optimization cases. To address this problem, sequential optimization method (SOM) and Kriging model are fully discussed. It can be seen that SOM can obtain satisfactory solutions, and the overall computational effort needed is much less than that by direct optimization method. For the 3 parameters problem, the number of finite element sample points is less than 1/10 compared with that of direct method; and for the 8 parameters problem, that number is about 1/3 compared with that of direct method. So the proposed method can be widely employed in the optimization design problem of electromagnetic devices.
【Fund】: 国家自然科学基金项目(50877029)~~
【CateGory Index】: TM910
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