Shape optimization of pole shoes in harmonic exciting synchronous generators using a stochastic algorithm

Author

Shiyou, Yang ; Guangzheng, Ni ; Yan, Li ; Renyuan, Tang

Author_Institution

Dept. of Electr. Eng., Zhejiang Univ., Hangzhou, China

Volume

33

Issue

2

fYear

1997

fDate

3/1/1997 12:00:00 AM

Firstpage

1920

Lastpage

1923

Abstract

The optimization of pole shoes in harmonic exciting synchronous generators is effectively performed using the combined strategy of improved simulated annealing and genetic algorithms with some new improvements made in this paper. The improvements include a rule for the generation of new states, an adaptive regulation schedule for the length of the interval of the pseudo-random parameter and the addition of geometrical constraints. Numerical results on different machines reveal that the iterative number used by executing the combined strategy with improvements is only about 50% of that used by executing the original method, whilst that the optimization results obtained using different algorithms are nearly the same

Keywords

genetic algorithms; iterative methods; machine theory; simulated annealing; stochastic processes; synchronous generators; adaptive regulation schedule; genetic algorithms; geometrical constraints; harmonic-exciting synchronous generator; iterative number; new states generation rule; pole shoes shape optimisation; pseudo-random parameter; simulated annealing; stochastic algorithm; Adaptive scheduling; Computational geometry; Footwear; Genetic algorithms; Iterative algorithms; Shape; Simulated annealing; Stochastic processes; Synchronous generators; Testing;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/20.582666

Filename

582666