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用于海浪发电直线开关磁阻电机优化设计

赵鑫 熊冬勤 滕云 陈哲 刘光伟

全球能源互联网(英文)2022,Vol.5Issue(4):434-447,14.
全球能源互联网(英文)2022,Vol.5Issue(4):434-447,14.DOI:10.1016/j.gloei.2022.08.009

用于海浪发电直线开关磁阻电机优化设计

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

赵鑫 1熊冬勤 1滕云 1陈哲 1刘光伟1

作者信息

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摘要

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.

关键词

直线开关磁阻电机/海浪发电/分层优化/发电效率

Key words

Linear switch reluctance motor/Wave power/Hierarchical optimization/Generation efficiency

引用本文复制引用

赵鑫,熊冬勤,滕云,陈哲,刘光伟..用于海浪发电直线开关磁阻电机优化设计[J].全球能源互联网(英文),2022,5(4):434-447,14.

基金项目

This work is supported by the National Natural Science Foundation of China(52077141),the Natural Science Foundation of Liaoning Province(2021-YQ-09)and the Liaoning Bai Qian Wan Talents Program,China. (52077141)

全球能源互联网(英文)

OACSCDCSTPCDEI

2096-5117

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