Design of 20 MW direct‐drive permanent magnet synchronous generators for wind turbines based on constrained many‐objective optimization

IF 5.4 3区材料科学 Q2 CHEMISTRY, PHYSICAL

ACS Applied Energy Materials Pub Date : 2024-05-21 DOI:10.1002/we.2916

Seok‐Won Jung, Dohyun Kang, Kumarasamy Palanimuthu, Young Hoon Joo, Sang‐Yong Jung

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引用次数: 0

Abstract

This study introduces a constrained many‐objective optimization approach for the optimal design of 20 MW direct drive (DD) permanent magnet synchronous generators (PMSGs). Designing a high‐performance, competitive DD‐PMSG requires considering the generator's performance as well as its weight and material cost. Therefore, we focus on four main characteristics as our design objectives: (1) specific power (power per weight), (2) power‐per‐cost, (3) efficiency, and (4) power factor. To achieve this, we apply an advanced constrained nondominated sorting genetic algorithm III (NSGA‐III), a many‐objective optimization method utilizing evolutionary computation, capable of optimizing four or more objectives with constraints. Additionally, the electromagnetic finite element method is employed to evaluate the generator's characteristics. Through our proposed design process, we optimize three distinct 20 MW DD‐PMSG configurations: a 320‐pole/300‐slot, a 350‐pole/300‐slot, and a 350‐pole/336‐slot topology. Following this optimization, we perform additional multiphysics simulations (covering electromagnetic, structural, overload, and thermal aspects) and control response simulations on four selected models from the Pareto‐optimal solutions to validate their effectiveness as preliminary DD‐PMSG designs. Finally, we conduct a comprehensive analysis of all simulation results.

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基于约束多目标优化的 20 兆瓦风力涡轮机直驱永磁同步发电机设计

本研究针对 20 兆瓦直接驱动（DD）永磁同步发电机（PMSG）的优化设计，引入了一种约束多目标优化方法。设计高性能、有竞争力的 DD-PMSG 需要考虑发电机的性能、重量和材料成本。因此，我们将四个主要特性作为设计目标：(1) 比功率（单位重量功率）、(2) 单位成本功率、(3) 效率和 (4) 功率因数。为此，我们采用了先进的受限非支配排序遗传算法 III (NSGA-III)，这是一种利用进化计算的多目标优化方法，能够优化四个或更多带有约束条件的目标。此外，我们还采用了电磁有限元法来评估发电机的特性。通过我们提出的设计流程，我们优化了三种不同的 20 兆瓦 DD-PMSG 配置：320 极/300 槽、350 极/300 槽和 350 极/336 槽拓扑结构。在优化之后，我们对从帕累托最优解中选出的四个模型进行了额外的多物理场仿真（涵盖电磁、结构、过载和热方面）和控制响应仿真，以验证它们作为 DD-PMSG 初步设计的有效性。最后，我们对所有仿真结果进行了综合分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACS Applied Energy Materials Materials Science-Materials Chemistry

CiteScore

10.30

自引率

6.20%

发文量

1368

期刊介绍： ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.