Global transformer optimization method using evolutionary design and numerical field computation

Amoiralis, EI; Georgilakis, PS; Tsili, MA; Kladas, AG

dc.contributor.author	Amoiralis, EI	en
dc.contributor.author	Georgilakis, PS	en
dc.contributor.author	Tsili, MA	en
dc.contributor.author	Kladas, AG	en
dc.date.accessioned	2014-03-01T01:30:49Z
dc.date.available	2014-03-01T01:30:49Z
dc.date.issued	2009	en
dc.identifier.issn	0018-9464	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/19637
dc.subject	Design method	en
dc.subject	Finite element method (FEM)	en
dc.subject	Mixed integer nonlinear programming	en
dc.subject	Optimization methods	en
dc.subject	Transformer	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.classification	Physics, Applied	en
dc.subject.other	Design	en
dc.subject.other	Dynamic programming	en
dc.subject.other	Evolutionary algorithms	en
dc.subject.other	Heuristic methods	en
dc.subject.other	Integer programming	en
dc.subject.other	Nonlinear programming	en
dc.subject.other	Operating costs	en
dc.subject.other	Optimization	en
dc.subject.other	Design method	en
dc.subject.other	Finite element method (FEM)	en
dc.subject.other	Mixed integer nonlinear programming	en
dc.subject.other	Optimization methods	en
dc.subject.other	Transformer	en
dc.subject.other	Finite element method	en
dc.title	Global transformer optimization method using evolutionary design and numerical field computation	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/TMAG.2009.2012795	en
heal.identifier.secondary	http://dx.doi.org/10.1109/TMAG.2009.2012795	en
heal.identifier.secondary	4787327	en
heal.language	English	en
heal.publicationDate	2009	en
heal.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. © 2006 IEEE.	en
heal.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC	en
heal.journalName	IEEE Transactions on Magnetics	en
dc.identifier.doi	10.1109/TMAG.2009.2012795	en
dc.identifier.isi	ISI:000264019000193	en
dc.identifier.volume	45	en
dc.identifier.issue	3	en
dc.identifier.spage	1720	en
dc.identifier.epage	1723	en