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

LI Xiangrui; LIN Heyun; LI Ruhai; LIU Siqiang; ZHAO Zhen; LI Hua

doi:10.15938/j.emc.2024.12.004

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

更新时间：2025-06-03

- Multi-objective optimization design of large-scale semi-direct drive permanent magnet wind generator
- Electric Machines and Control Vol. 28, Issue 12, Pages: 33-42(2024)
- 作者机构：
  
  东南大学电气工程学院，江苏南京 210096
  江苏中车电机有限公司，江苏盐城 224100
  中车株洲电机有限公司，湖南株洲 412001
- 作者简介：
- 基金信息：
- DOI：10.15938/j.emc.2024.12.004
  CLC： TM351
- Received：28 December 2023，
  
  Published：2024-12
- 稿件说明：
移动端阅览
LI Xiangrui, LIN Heyun, LI Ruhai, et al. Multi-objective optimization design of large-scale semi-direct drive permanent magnet wind generator[J]. Electric Machines and Control, 2024, 28(12): 33-42.
DOI：

LI Xiangrui, LIN Heyun, LI Ruhai, et al. Multi-objective optimization design of large-scale semi-direct drive permanent magnet wind generator[J]. Electric Machines and Control, 2024, 28(12): 33-42. DOI： 10.15938/j.emc.2024.12.004.

摘要

针对基于常规有限元法优化耗时长的问题，提出一种磁路模型与非支配遗传算法相结合的大型半直驱分段内嵌式永磁风力发电机高性能多目标优化设计方法，该方法能够在保证一定设计精度的前提下快速实现电机的优化设计。首先，基于等效磁路法建立可以考虑弱磁控制运行发电机的电磁计算模型；其次，基于所建的电磁计算模型提出了该类发电机的多目标优化方法，并采用非支配遗传算法进行求解，以获得高电磁功率和最低材料成本的设计方案；最后，采用有限元分析方法对所提出的优化设计方法进行验证。结果表明，所提方法在设计时间及寻优效果方面均具有较好的性能，可以为大型半直驱永磁风力发电机的优化设计提供有力的技术支撑。

Abstract

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 op timization effect

which provides strong technical support for the optimal design of large-scale semi-direct drive permanent magnet wind generators.

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