The multi-objective optimization of AFPM generators with double-sided internal stator structures for vertical axis wind turbines

被引:0
|
作者
Song D. [1 ]
Zhou L. [1 ]
Peng Z. [2 ]
Luo S. [2 ]
Zhu J. [3 ]
机构
[1] Jiangsu Jinfeng Technology Co., Ltd, Yancheng
[2] School of Automation, Nanjing University of Science and Technology, Nanjing
[3] School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo
关键词
Axial flux permanent magnet generator; Double-sided internal stator structure; Multi-objective optimization; Wind turbine;
D O I
10.32604/EE.2021.015011
中图分类号
学科分类号
摘要
The axial flux permanent magnet (AFPM) generator with double-sided internal stator structure is highly suitable for vertical axis wind turbines due to its high power density. The performance of the AFPM generator with double-sided internal stator structure can be improved by the reasonable design of electromagnetic parameters. To further improve the overall performance of the AFPM generator with double-sided internal stator structure, multivariable (coil width ωc, permanent magnet thickness h, pole arc coefficient αp and working air gap lg) and multi-objective (generator efficiency η, total harmonic distortion of the voltage THD and induced electromotive force amplitude EMF) functional relationships are innovatively established. Orthogonal analysis, mean analysis and variance analysis are performed on the influence parameters by combining the Taguchi method and response surface methodology to study the influence degrees of each influence parameter on the optimization objectives to determine the most appropriate electromagnetic parameters. The optimization results are verified by 3D finite element analysis. The optimized APFM generator with double-sided internal stator structure exhibits superior economy, stronger magnetic density, higher efficiency and improved power quality. © 2021, Tech Science Press. All rights reserved.
引用
收藏
页码:1439 / 1452
页数:13
相关论文
共 50 条
  • [1] Multi-objective design optimization strategies for small-scale vertical-axis wind turbines
    Posteljnik, Zorana
    Stupar, Slobodan
    Svorcan, Jelena
    Pekovic, Ognjen
    Ivanov, Toni
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2016, 53 (02) : 277 - 290
  • [2] Multi-objective design optimization strategies for small-scale vertical-axis wind turbines
    Zorana Posteljnik
    Slobodan Stupar
    Jelena Svorcan
    Ognjen Peković
    Toni Ivanov
    Structural and Multidisciplinary Optimization, 2016, 53 : 277 - 290
  • [3] Multi-objective optimization on blade airfoil of vertical axis wind turbine
    Zhang, Ruiyi
    Li, Deyou
    Chang, Hong
    Wei, Xuntong
    Wang, Hongjie
    PHYSICS OF FLUIDS, 2024, 36 (08)
  • [4] Constrained Multi-Objective Optimization for Double-Sided Tubular Machine With Hybrid Segmented PM
    Guo, Liang
    Lei, Minjie
    Weng, Mian
    IEEE ACCESS, 2023, 11 : 45862 - 45870
  • [5] SINGLE AND MULTI OBJECTIVE CFD OPTIMIZATION OF HORIZONTAL AXIS WIND TURBINES
    De Bellis, Fabio
    Catalano, Luciano A.
    PROCEEDINGS OF THE ASME TURBO EXPO 2011, VOL 1, 2011, : 777 - 785
  • [6] Multi-objective optimization of wind-excited structures
    Venanzi, I.
    Materazzi, A. L.
    ENGINEERING STRUCTURES, 2007, 29 (06) : 983 - 990
  • [7] Multi objective optimization on suspension characteristics of vertical axis wind turbine
    Zhu Jun
    Song Dandan
    Han QiaoLi
    Li Shaolong
    Wang Jinmei
    Li Guanghuai
    Cao Di
    INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS, 2018, 58 (02) : 215 - 226
  • [8] Multi-objective optimization of a double-sided air-cored tubular generator based on a new integrated modeling method
    Guo, Liang
    Lu, Wenqi
    Cai, Junjun
    INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS, 2019, 61 (01) : 123 - 135
  • [9] Multi-Objective Optimization and Comparison of DC/DC Converters for Offshore Wind Turbines
    Timmers, Victor
    Egea-Alvarez, Agusti
    Gkountaras, Aris
    Xu, Lie
    IEEE ACCESS, 2024, 12 : 81236 - 81251
  • [10] A multi-objective design optimization framework for wind turbines under altitude consideration
    Mellal, Mohamed Arezki
    Pecht, Michael
    ENERGY CONVERSION AND MANAGEMENT, 2020, 222