Optimal Electromagnetic Design of a Nonsalient Magnetic-Cored Superconducting Synchronous Machine Using Genetic Algorithm

Author

Elhaminia, Pedram ; Yazdanian, Masoud ; Zolghadri, Mohammad Reza ; Fardmanesh, Mehdi

Author_Institution

Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran

Volume

25

Issue

1

fYear

2015

fDate

Feb. 2015

Firstpage

1

Lastpage

9

Abstract

An optimum electromagnetic design of a nonsalient magnetic-cored superconducting synchronous machine (SSM) is presented in this paper. First, self- and mutual inductances of a nonsalient magnetic-cored SSM are calculated using the magnetic energy method and analytical equations of magnetic vector potential. Then, a design approach for an SSM machine is proposed based on the inductances of the machine. An optimal design is finally performed using a genetic algorithm, considering the machine efficiency as an objective function. The finite-element method is utilized in each step to verify the analytical results.

Keywords

finite element analysis; genetic algorithms; inductance; magnetic cores; superconducting machines; synchronous machines; SSM machine; analytical equations; finite-element method; genetic algorithm; machine efficiency; magnetic energy method; magnetic vector potential; mutual inductance; nonsalient magnetic-cored superconducting synchronous machine; optimal electromagnetic design; self-inductance; Iron; Magnetic flux; Mathematical model; Stator windings; Superconducting magnets; Windings; Finite-element method (FEM); Genetic Algorithm and Finite Element Method; Mutual Inductance; Non-salient Magnetic-cored; Self-Inductance; Superconducting Synchronous Machine (SSM); genetic algorithm (GA); mutual inductance; nonsalient magnetic-cored; self-inductance; superconducting synchronous machine (SSM);

fLanguage

English

Journal_Title

Applied Superconductivity, IEEE Transactions on

Publisher

ieee

ISSN

1051-8223

Type

jour

DOI

10.1109/TASC.2014.2360874

Filename

6913508