GA design for efficiency optimization of a superconducting generator

Abstract

This paper deals with a design method for the efficiency optimization of 223 MVA class superconducting generator. In consideration of the electrical characteristics based on electromagnetic analysis, GA (genetic algorithm), which has been successfully applied to various design problems in electric machines and devices, is used as an approach method of the optimized design with some variables and constraints. The results designed by this method are found to be reasonable and effective as compared with those obtained by the methods of trial and error until now.