Prospect of PM Vernier Machine for Wind Power Application

Pushman Tlali and Rong-Jie Wang
Additional contact information
Pushman Tlali: Department of Electrical & Electronic Engineering, Stellenbosch University, Stellenbosch 7600, South Africa
Rong-Jie Wang: Department of Electrical & Electronic Engineering, Stellenbosch University, Stellenbosch 7600, South Africa

Energies, 2022, vol. 15, issue 13, 1-26

Abstract: This paper investigates the prospect of permanent magnet vernier machine (PMVM) technology for wind power applications. Two types of PMVMs are defined based on the winding arrangements and resultant gear ratio ranges. A comprehensive design study of the selected PMVM topologies is conducted at 1 and 3 MW power levels. The optimized candidate designs of the PMVMs are then evaluated and also compared against the equivalent permanent magnet synchronous machine (PMSM) in terms of performance, costs, size and mass. While the existing research publications mainly focused on the PMVM designs of ( G r = 5 ), this study reveals that the pole/slot combinations of PMVMs with ( G r ≤ 5 ) are more appealing as there is a good trade-off between a reasonable power factor and high power density in these designs. It shows, in this paper, that the PMVM is a promising alternative to common PMSM technology for utility-scale wind-turbine drive-train applications.

Keywords: design optimization; direct-drive generators; finite element analysis; magnetic gearing effect; permanent magnet vernier machines (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: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/13/4912/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/13/4912/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:13:p:4912-:d:856132

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().