Coil Shape Optimization for Superconducting Wind Turbine Generator Using Response Surface Methodology and Particle Swarm Optimization

被引：24

作者：

Wen, Cheng ^{[1
]}

Yu, Haitao ^{[1
]}

Hong, Tianqi ^{[1
]}

Hu, Minqiang ^{[1
]}

Huang, Lei ^{[1
]}

Chen, Zhongxian ^{[1
]}

Meng, Gaojun ^{[1
]}

机构：

[1] Southeast Univ, Sch Elect Engn, Nanjing 210096, Jiangsu, Peoples R China

来源：

IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY | 2014年 / 24卷 / 03期

关键词：

Air gap magnetic flux density (AGMFD); particle swarm optimization (PSO); response surface methodology (RSM); superconducting field coils; superconducting wind turbine generator (SWTG);

D O I：

10.1109/TASC.2014.2306017

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Changing the cross-sectional shape of superconducting field coils can reduce the total harmonic distortion (THD) of the air gap magnetic flux density (AGMFD) for superconducting wind turbine generators (SWTG). This paper proposes an approach to optimize the cross-sectional shape of the superconducting field windings for SWTG to minimize the THD of the AGMFD. This approach is based on the response surface methodology (RSM) and the particle swarm optimization (PSO). The RSM is used to construct the objective function and the PSO is used to calculate the optimal value of objective function swiftly. The optimized results would be compared with the initial results and thus prove the validity and accuracy of this approach.

引用

页数：4

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