Multi-objective optimization design of large-scale semi-direct drive permanent magnet wind generator

被引:1
作者
Li, Xiangrui [1 ]
Lin, Heyun [1 ]
Li, Ruhai [2 ]
Liu, Siqiang [3 ]
Zhao, Zhen [2 ]
Li, Hua [2 ]
机构
[1] School of Electrical Engineering, Southeast University, Nanjing
[2] Jiangsu CRRC Motor Co., Ltd., Yancheng
[3] CRRC Zhuzhou Electric Co., Ltd., Zhuzhou
来源
Dianji yu Kongzhi Xuebao/Electric Machines and Control | 2024年 / 28卷 / 12期
关键词
cost optimization; electromagnetic design; genetic algorithm; multi-objective optimization design; segmented embedded magnetic poles; semi-direct drive permanent magnet wind generator;
D O I
10.15938/j.emc.2024.12.004
中图分类号
学科分类号
摘要
Aiming at the time-consuming optimization problem based on conventional finite element method, a high-performance multi-objective optimization design method for large semi-direct-drive segmented embedded permanent magnet wind generators was proposed by combining magnetic circuit model with non-dominated genetic algorithm. This method can quickly achieve the optimal design of the motor while ensuring a certain design accuracy. First, an electromagnetic calculation model of generator was established based on equivalent magnetic circuit method, in which the field-weakening control operation can be considered. Secondly, a multi-objective optimization method for this type of generator was proposed based on the established electromagnetic model, and a non-dominated genetic algorithm was used to solve the optimization problem to obtain a design solution with high electromagnetic power and lowest material cost. Finally, the finite element analysis method was employed to verify the proposed optimal design method. The results show that the proposed method has good performance in terms of design time and optimization effect, which provides strong technical support for the optimal design of large-scale semi-direct drive permanent magnet wind generators. © 2024 Editorial Department of Electric Machines and Control. All rights reserved.
引用
收藏
页码:33 / 42
页数:9
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