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Optimal design of linear switched reluctance motor for sea wave power generation

2022-09-15

沈阳工业大学赵鑫等：用于海浪发电直线开关磁阻电机优化设计

原创英文期刊编辑部全球能源互联网期刊 2022-09-15 08:00

摘要

开关磁阻电机的无永磁体结构设计保证了其在海洋环境下的高可靠性，是海浪发电系统发电机的一种可行方案，但其在能量密度和效率上仍有不足。本文针对一种新型平板型直线开关磁阻电机，利用有限元软件建立结构模型，以提升效率、能量密度为目标进行优化设计。灵敏度分层采用熵值法来客观选取权重，以避免主观选择的不同比例权重对优化结果的影响。基于熵值法对不同结构参数进行敏感度分层，并结合模拟退火算法、响应面法和单参数扫描法分别进行优化，最终确定电机的最优结构尺寸参数。基于二维有限元法在不同运行状态下对磁阻电机的推力、损耗、效率等电磁性能进行仿真计算，对比优化前后电机性能变化情况，验证优化后的直线电机具有更高发电效率和能量密度。

Optimal design of linear switched reluctance motor for sea wave power generation

用于海浪发电直线开关磁阻电机优化设计

Zhao Xin1, Dongqin Xiong2, Teng Yun1, Zhe Chen3, Guangwei Liu¹

(1.School of Electrical Engineering, Shenyang University of Technology, Shenyang, 110870, P.R. China

2.Jing-Jin Electric Technologies Co. Ltd., Beijing 100015, P. R. China

3.Department of Engineering and Science, Aalborg University, Aalborg 639220, Denmark)

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Optimal Design of Linear Switched Reluctance Motor

Abstract

The switchless reluctance motor’s non-permanent magnet structure design ensures its high reliability in the marine environment; thus, it is a feasible solution for the generator of a sea wave power generation system. However, the corresponding thrust density and efficiency remain insufficient. This study focused on a new type of flat linear switched reluctance motor (LSRM), using the finite element software to establish a structural model, and optimized the design with the goal of improving the efficiency and energy density. The entropy method was adopted for sensitivity stratification to objectively select weights to avoid the influence of subjectively selected different proportional weights on the optimization results. Based on the entropy method, the sensitivity of different structural parameters was stratified, and the simulated annealing algorithm, response surface method, and single parameter scanning method were combined for optimization. Finally, the optimal structural size parameters of the motor were determined. Based on the two-dimensional finite element method, to simulate the electromagnetic performance of the reluctance motor under different operating conditions, such as thrust, loss, and efficiency, changes in motor performance before and after optimization were compared to verify the high power generation efficiency and energy density of the optimized linear motor.

Keywords

Linear switch reluctance motor, Wave power, Hierarchical optimization, Generation efficiency.

Fig.1 Diagram of motor structure

Fig.2 Experimental wave-making pool

Fig.3 Motor structure parameters

Fig.4 Nonlinear equivalent reluctance calculation model

Fig.5 Performance analysis results of various parameters

Fig.6 Motor optimization flow chart

Fig.7 Sensitivity analysis results for structural parameters

Fig.8 Iterative process of objective function based on simulated annealing algorithm

Fig.9 Response analysis results of optimization target under parameters hr_y and L_e_f

Fig.10 Response analysis results of optimization target under parameters hr_y and h_s

Fig.11 Analysis results of multi-objective changes with ls₂

Fig.12 Analysis results of multi-objective changes with bs

Fig.13 Motor performance comparison at constant speed of 0.5 m/s

Fig.14 Motor performance comparison under sinusoidal speed

Fig.15 Dense cloud images in different positions

本文引文信息

Zhao X, Xiong DQ, Teng Y, et al. (2022) Optimal Design of Linear Switched Reluctance Motor for Sea Wave Power Generation. Global Energy Interconnection, 5(4): 434-447

赵鑫，熊冬勤，滕云，等 (2022) 用于海浪发电直线开关磁阻电机优化设计. 全球能源互联网（英文）, 5(4): 434-447

Biographies

Zhao Xin

Zhao Xin received her master's degree in control theory and control Engineering from Shenyang University of Technology, Shenyang, China, in 2008. She joined the Shenyang University of Technology in 2008, where she is currently a researcher in electrical engineering. Her research interests include Special motor and its control system.

Dongqin Xiong

Dongqin Xiong received her master's degree from Shenyang University of Technology, Shenyang, China, in 2021. She is now working as an engineer in Jing-Jin Electric Technologies Co., Ltd. Beijing, China. Her research interests include linear switched reluctance motor design.

Teng Yun

Teng Yun received his doctor’s degree in electrical engineering from Shenyang University of Technology, Shenyang, China, in 2009. He joined the Shenyang University of Technology in 2010, where he is currently a professor in electrical engineering. He is a standing director as the IEEE PES DC Distribution Network Technical Subcommittee.His research interests include multi-energy system dispatching automation and smart grid control theory.

Zhe Chen

Zhe Chen received his B.Eng. and M.Sc. degrees from Northeast China Institute of Electric Power Engineering, Jilin City, China, and his Ph.D. degree from the University of Durham, Durham, U.K. He is a full professor with the Department of Energy Technology, Aalborg University, Aalborg, Denmark, where he is the leader of the Wind Power System Research program in the Department of Energy Technology. He is also the Danish Principle Investigator for Wind Energy of the Sino- Danish Centre for Education and Research. His research areas are power systems, power electronics and electric machines; and his main current research interests are wind energy and modern power systems.

Guangwei Liu

Guangwei Liu received his B.Eng., M.Sc. and Ph.D. degrees in electrical engineering from Shenyang University of Technology, Shenyang, China, in 2005, 2008 and 2015 separately. He joined the Shenyang University of Technology in 2008, where he is currently a full professor in school of electrical engineering. His major research interests and activities are in the areas of permanent magnet electrical machines and its drive.

编辑：王彦博

审核：王伟

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Optimal design of linear switched reluctance motor for sea wave power generation

沈阳工业大学 赵鑫等：用于海浪发电直线开关磁阻电机优化设计

郑重声明

沈阳工业大学赵鑫等：用于海浪发电直线开关磁阻电机优化设计