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A Novel Efficient and High-Capacity Permanent Magnet Vernier Machine for Urban Intelligent Wind Power Systems

  • Yongtao Liang
  • , Zaixin Song (Corresponding Author)
  • , Yidan Ma
  • , Xiaoyu Lang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

The development of wind power systems necessitates higher flexibility and power density requirements for wind turbines. This paper proposes a novel permanent magnet vernier machine (PMVM) designed for urban intelligent wind power systems. The PMVM features dual windings and dual permanent magnets (PMs). On one hand, it leverages the dual modulation effect to enhance torque/power density (44.4Nm/L). On the other hand, by regulating the secondary windings, it achieves flexible power generation with a converter capacity requirement of only approximately 30% of the full capacity. The fundamental performance of the proposed PMVM is validated through finite element analysis (FEA). The proposed PMVM holds promise as a solution for the further development and utilization of wind energy.

Original languageEnglish
Title of host publication2024 27th International Conference on Electrical Machines and Systems, ICEMS 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1034-1040
Number of pages7
ISBN (Electronic)9784886864406
DOIs
Publication statusPublished - Nov 2024
Event27th International Conference on Electrical Machines and Systems, ICEMS 2024 - Fukuoka, Japan
Duration: 26 Nov 202429 Nov 2024

Publication series

Name2024 27th International Conference on Electrical Machines and Systems, ICEMS 2024

Conference

Conference27th International Conference on Electrical Machines and Systems, ICEMS 2024
Country/TerritoryJapan
CityFukuoka
Period26/11/2429/11/24

Keywords

  • dual flux modulation
  • high capacity
  • permanent magnet vernier machine
  • wind power systems

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering

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