Design and Optimization of Linear Permanent Magnet Vernier Generator for Direct Drive Wave Energy Converter

Mei Zhao, Zhiquan Kong, Pingpeng Tang (), Zhentao Zhang, Guodong Yu, Huaqiang Zhang, Yongxiang Xu and Jibin Zou
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Mei Zhao: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Zhiquan Kong: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Pingpeng Tang: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Zhentao Zhang: State Grid Hangzhou Power Supply Company, Hangzhou 310000, China
Guodong Yu: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Huaqiang Zhang: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Yongxiang Xu: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Jibin Zou: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China

Energies, 2023, vol. 16, issue 7, 1-18

Abstract: A novel linear permanent magnet vernier generator (LPMVG) for small-power off-grid wave power generation systems is proposed in this paper. Firstly, in order to reduce the cogging force and the inherent edge effect of the linear generator, a staggered tooth modular structure is proposed. Secondly, in order to improve the output power and efficiency of the LPMVG and reduce the fluctuation coefficient of electromagnetic force, the relationship between the parameters of the generator is studied, and a method combining multi-objective optimization and single parameter scanning based on the response surface model and particle swarm optimization algorithm is proposed to obtain the optimal structural parameters of the generator. Thirdly, the output power and efficiency of the optimized generator are calculated and analyzed based on the two-dimensional finite element method, and the effectiveness of the multi-objective optimization design method based on the response surface model and particle swarm optimization algorithm is verified. Finally, a prototype is developed, and the calculated results and the measured results are shown to be in good agreement.

Keywords: linear motors; permanent magnet vernier generator; particle swarm optimization; response surface model; wave power generation system (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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