Robust optimization of multilayer conductors of HTS AC cable using PSO and perturbation analysis

Wang, S; Qiu, J; Zhao, Z; Liu, X; Zhu, JG; Guo, Y; Lin, ZW

Robust optimization of multilayer conductors of HTS AC cable using PSO and perturbation analysis

Wang, S

Qiu, J Zhao, Z Liu, X Zhu, JG

Guo, Y

Lin, ZW

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Publication Type:: Conference Proceeding
Citation:: Conference Record - IAS Annual Meeting (IEEE Industry Applications Society), 2006, 1 pp. 293 - 299
Issue Date:: 2006-12-01

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Field	Value	Language
dc.contributor.author	Wang, S https://orcid.org/0000-0002-5251-8704	en_US
dc.contributor.author	Qiu, J	en_US
dc.contributor.author	Zhao, Z	en_US
dc.contributor.author	Liu, X	en_US
dc.contributor.author	Zhu, JG https://orcid.org/0000-0002-9763-4047	en_US
dc.contributor.author	Guo, Y https://orcid.org/0000-0001-6182-0684	en_US
dc.contributor.author	Lin, ZW	en_US
dc.date.issued	2006-12-01	en_US
dc.identifier.citation	Conference Record - IAS Annual Meeting (IEEE Industry Applications Society), 2006, 1 pp. 293 - 299	en_US
dc.identifier.isbn	1424403642	en_US
dc.identifier.isbn	9781424403646	en_US
dc.identifier.issn	0197-2618	en_US
dc.identifier.uri	http://hdl.handle.net/10453/2759
dc.description.abstract	For a High Temperature Superconducting (HTS) cable, a non-uniform AC current distribution among the multilayer conductors gives rise to increased AC losses. To get a uniform current distribution among the multilayer conductors, a constrained optimization model is constructed with continuous and discrete variables, such as the winding angle, radius and the winding direction of each layer. Under the constraints of the mechanical properties and critical current of the tape, the Particle Swarm Optimization (PSO) algorithm is employed for structural parameter optimization in both warm and cold dielectric type HTS cables. A uniform current distribution among layers is realized by optimizing the structural parameters. The perturbation analysis is employed to evaluate the parameters after optimization. It is found that the robust stabilizations are different among the various optimal results. The PSO is proved to be a more powerful tool than the Genetic Algorithm (GA) for structural parameter optimization. © 2006 IEEE.	en_US
dc.relation.ispartof	Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)	en_US
dc.relation.isbasedon	10.1109/IAS.2006.256538	en_US
dc.title	Robust optimization of multilayer conductors of HTS AC cable using PSO and perturbation analysis	en_US
dc.type	Conference Proceeding
utslib.citation.volume	1	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
dc.location.activity	Tampa, USA	en_US
dc.location.activity	Guildford, UK
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CCET - Centre for Clean Energy Technology
pubs.organisational-group	/University of Technology Sydney/Strength - GEVI - Green Energy and Vehicle Innovations
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	1	en_US

Abstract:

For a High Temperature Superconducting (HTS) cable, a non-uniform AC current distribution among the multilayer conductors gives rise to increased AC losses. To get a uniform current distribution among the multilayer conductors, a constrained optimization model is constructed with continuous and discrete variables, such as the winding angle, radius and the winding direction of each layer. Under the constraints of the mechanical properties and critical current of the tape, the Particle Swarm Optimization (PSO) algorithm is employed for structural parameter optimization in both warm and cold dielectric type HTS cables. A uniform current distribution among layers is realized by optimizing the structural parameters. The perturbation analysis is employed to evaluate the parameters after optimization. It is found that the robust stabilizations are different among the various optimal results. The PSO is proved to be a more powerful tool than the Genetic Algorithm (GA) for structural parameter optimization. © 2006 IEEE.

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http://hdl.handle.net/10453/2759