Multicriteria Optimal Winding Scheme in HTS Transformers by Analytical Hierarchy Process

When designing high-temperature superconducting transformers, leakage magnetic field, ac loss, circulating current, and electromagnetic forces are important issues. These factors are accounted for by a proposed method providing initially different winding schemes, i.e., helical, cylindrical, and pan...

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Veröffentlicht in:IEEE transactions on applied superconductivity 2011-02, Vol.21 (1), p.2-12
Hauptverfasser: Daneshmand, Shabnam Vahdati, Heydari, Hossein, Shakeri, Sadegh
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Heydari, Hossein
Shakeri, Sadegh
description When designing high-temperature superconducting transformers, leakage magnetic field, ac loss, circulating current, and electromagnetic forces are important issues. These factors are accounted for by a proposed method providing initially different winding schemes, i.e., helical, cylindrical, and pancake. We pursue a versatile optimization scheme that is applicable to different winding types. The above requires advanced numerical techniques and hence simulation studies for calculating the leakage flux density and electromagnetic forces in each configuration scheme. Considering the optimization of all the aforementioned criteria (ac losses, circulating currents, and electromagnetic forces), an intelligent choice of optimal winding geometry is obtained using analytical hierarchy process optimization, which is the main motivation for this brief.
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subjects AC loss
analytical hierarchy process (AHP)
Applied sciences
Circulating
circulating current
Coils
Conductors
Electrical engineering. Electrical power engineering
Electromagnetic forces
Electromagnets
Exact sciences and technology
Hierarchies
High temperature superconductors
Leakage
magnetic field
Mathematical analysis
Optimization
Perpendicular magnetic anisotropy
Superconducting magnets
Superconductivity
superconductors
transformers
Transformers and inductors
Various equipment and components
Winding
Windings
title Multicriteria Optimal Winding Scheme in HTS Transformers by Analytical Hierarchy Process
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