Optimal transposition design of transformer windings by Genetic Algorithms

Author

Bai Baodong ; Xie Dexin ; Cui Jiefan ; Mohammed, Osama A.

Author_Institution

Shenyang Polytech. Univ.

Volume

31

Issue

6

fYear

1995

fDate

11/1/1995 12:00:00 AM

Firstpage

3572

Lastpage

3574

Abstract

An optimal transposition design of transformer windings using Genetic Algorithms (GAs) is presented. The objective is to provide the best transposition positions to obtain the lowest circulating current losses in the parallel conductors. The GAs procedure for solving multiparameter and constrained problems is described in detail. In the optimization process, the losses are calculated by a combined method of Magnetic field and Electric circuit. The proper value ranges of GAs operators (mutation and recombination) are examined in performance experiments. The improved transposition data are achieved by applying the approach to a large transformer

Keywords

finite element analysis; genetic algorithms; power transformers; transformer magnetic circuits; transformer windings; electric circuit; genetic algorithms; lowest circulating current losses; magnetic field; mutation; optimal transposition design; parallel conductors; recombination; transformer windings; Algorithm design and analysis; Biological cells; Conductors; Genetic algorithms; Genetic mutations; Magnetic circuits; Magnetic fields; Optimization methods; Power transformers; Windings;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/20.489573

Filename

489573