Global Transformer Optimization Method Using Evolutionary Design and Numerical Field Computation

This paper addresses the complex optimum transformer design problem, which is formulated as a mixed-integer nonlinear programming problem, by introducing an integrated design optimization method based on evolutionary algorithms and numerical electromagnetic and thermal field computations. The main c...

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Veröffentlicht in:IEEE transactions on magnetics Jg. 45; H. 3; S. 1720 - 1723
Hauptverfasser: Amoiralis, E.I., Georgilakis, P.S., Tsili, M.A., Kladas, A.G.
Format: Journal Article Tagungsbericht
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.03.2009
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithm design and analysis
Computation
Conducting materials
Cost function
Cross-disciplinary physics: materials science; rheology
Design method
Design methodology
Design optimization
Electromagnetic fields
Evolutionary
Evolutionary computation
Evolutionary design method
Exact sciences and technology
finite element method (FEM)
Genetic programming
Magnetism
Manufacturing industries
Materials science
Mathematical analysis
Mathematical models
mixed integer nonlinear programming
Nonlinear programming
Optimization
Optimization methods
Other topics in materials science
Physics
transformer
Transformers
Design
Finite element method
mixed integer nonlinear programming
Design method
transformer
Modelling
finite element method (FEM)
optimization methods
Magnetic properties
ISSN:0018-9464, 1941-0069
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:This paper addresses the complex optimum transformer design problem, which is formulated as a mixed-integer nonlinear programming problem, by introducing an integrated design optimization method based on evolutionary algorithms and numerical electromagnetic and thermal field computations. The main contributions of this research are: i) introduction of a new overall transformer optimization method, minimizing either the overall transformer materials cost or the overall transformer materials and operating cost, ii) expansion of the solution space by innovative techniques that define the variation of crucial design variables such as the conductors' cross-section, ensuring global optimum transformer designs, and iii) incorporation of numerical field computation in order to validate the feasibility of the optimum designs. The proposed method is compared with a heuristic optimization method of the transformer manufacturing industry and the results demonstrate the robustness and the superiority of this new approach.
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ISSN:0018-9464
1941-0069
DOI:10.1109/TMAG.2009.2012795