Optimal Design of Flux Diverter Using Genetic Algorithm for Axial Short Circuit Force Reduction in HTS Transformers

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In: IEEE Transactions on Applied Superconductivity, 30(2020), 1, S. 1 - 8
Format: E-Article
Sprache: Englisch
veröffentlicht: IEEE
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ISSN: 1051-8223
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finc.format ElectronicArticle
finc.mega_collection IEEE Xplore Library
finc.id ai-89-ODczODg2Mg
finc.record_id 8738862
finc.source_id 89
ris.type EJOUR
rft.atitle Optimal Design of Flux Diverter Using Genetic Algorithm for Axial Short Circuit Force Reduction in HTS Transformers
rft.epage 8
rft.issn 1051-8223
rft.issue 1
rft.jtitle IEEE Transactions on Applied Superconductivity
rft.tpages 8
rft.pages 1-8
rft.pub IEEE
rft.date 2020-01-01
x.date 2020-01-01T00:00:00Z
rft.spage 1
rft.volume 30
abstract The appealing advantages of high-temperature superconducting (HTS) power transformers over conventional ones have attracted transformer manufacturing companies, power companies, research institutes, and universities worldwide to conduct research and development in this field. Unfortunately, HTS transformers are more vulnerable to mechanical stresses than conventional transformers. The results of the interaction between current carrying windings and leakage magnetic fluxes are the electromagnetic forces, which act on transformer windings. Under short circuit events, these forces are remarkable, and, therefore, catastrophic failure of transformer may arise. Flux-diverter applications have been reported in earlier literatures for increasing critical current or decreasing ac losses in HTS transformers. In this paper, a genetic algorithm based method is employed for the optimal design of flux diverter to minimize the axial short circuit force, in design stage of a sample 132/13.8 kV, 50 MVA three-phase core type HTS transformer. In this paper, the optimal dimensions, placement, and permeability of a flux diverter have been determined. It has been shown that utilizing this optimized flux diverter, the axial short circuit forces have been reduced significantly. Electromagnetic modeling and simulations, by the application of finite element method, have been employed for the verification of the analytical method results. A high degree of consistency has been observed between the analytical results and the simulation results.
authors Moradnouri Ahmad
Vakilian Mehdi
Hekmati Arsalan
Fardmanesh Mehdi
doi 10.1109/TASC.2019.2923550
languages eng
url http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8738862
http://doi.org/10.1109/TASC.2019.2923550
version 0.9
x.subjects High-temperature superconductors
Windings
Force
Oil insulation
Genetic algorithms
Magnetic flux
Power transformers
Flux diverter
genetic algorithm (GA)
high-temperature superconducting (HTS) transformers
leakage flux
short circuit force
x.packages Periodical
IEEE Transaction