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

• Published in: IEEE transactions on applied superconductivity Vol. 24; no. 3; pp. 1 - 4
• Main Authors: Wen, Cheng, Yu, Haitao, Hong, Tianqi, Hu, Minqiang, Huang, Lei, Chen, Zhongxian, Meng, Gaojun
• Format: Journal Article Conference Proceeding
• Language: English
• Published: New York, NY IEEE 01.06.2014; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Air gap magnetic flux density (AGMFD); Applied sciences; Coils; Cross sections; Density; Direct energy conversion and energy accumulation; Electrical engineering. Electrical power engineering; Electrical machines; Electrical power engineering; Electromagnets; Exact sciences and technology; Generators; Harmonic distortion; High-temperature superconductors; Miscellaneous; particle swarm optimization (PSO); Response surface methodology; response surface methodology (RSM); Shape; Special rotating machines; Stator cores; superconducting field coils; superconducting wind turbine generator (SWTG); Superconductivity; Swarm intelligence; Various equipment and components; Wind turbines; Windings; Magnetic flux; Geometrical shape; superconducting field coils; Power system harmonics; Power system stability; Wind generator; Response surface methodology; Particle swarm optimization; Superconducting coils; response surface methodology (RSM); Harmonics suppression; Air gap magnetic flux density (AGMFD); Flux density; Air gap; Superconducting generators; superconducting wind turbine generator (SWTG); Energy quality; Harmonic distortion; Objective function; Turbine generator; particle swarm optimization (PSO); Service quality; Comparative study; Machine windings
• ISSN: 1051-8223; 1558-2515
• DOI: 10.1109/TASC.2014.2306017

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.