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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| Vydáno v: | IEEE transactions on magnetics Ročník 45; číslo 3; s. 1720 - 1723 |
|---|---|
| Hlavní autoři: | , , , |
| Médium: | Journal Article Konferenční příspěvek |
| Jazyk: | angličtina |
| Vydáno: |
New York, NY
IEEE
01.03.2009
Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Témata: | |
| ISSN: | 0018-9464, 1941-0069 |
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| Abstract | 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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| AbstractList | 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 [abstract truncated by publisher]. 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. 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 conductorsE14 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. |
| Author | Georgilakis, P.S. Tsili, M.A. Kladas, A.G. Amoiralis, E.I. |
| Author_xml | – sequence: 1 givenname: E.I. surname: Amoiralis fullname: Amoiralis, E.I. organization: Dept. of Production Eng. & Manage., Tech. Univ. of Crete, Chania – sequence: 2 givenname: P.S. surname: Georgilakis fullname: Georgilakis, P.S. organization: Dept. of Production Eng. & Manage., Tech. Univ. of Crete, Chania – sequence: 3 givenname: M.A. surname: Tsili fullname: Tsili, M.A. organization: Fac. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Athens – sequence: 4 givenname: A.G. surname: Kladas fullname: Kladas, A.G. organization: Fac. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Athens |
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| Keywords | Design Finite element method mixed integer nonlinear programming Design method transformer Modelling finite element method (FEM) optimization methods Magnetic properties |
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| SubjectTerms | 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 |
| Title | Global Transformer Optimization Method Using Evolutionary Design and Numerical Field Computation |
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