Annual Energy Production Design Optimization for PM Generators Considering Maximum Power Point Trajectory of Wind Turbines

Huaping Yang, Wenjuan Zhang (), Litao Dai, Wan Feng and Haixia Zhang
Additional contact information
Huaping Yang: College of Electrical and Information Engineering, Hunan University, Changsha 410022, China
Wenjuan Zhang: School of Electronic Information and Electrical Engineering, Changsha University, Changsha 410022, China
Litao Dai: College of Electrical and Information Engineering, Hunan University, Changsha 410022, China
Wan Feng: School of Electronic Information and Electrical Engineering, Changsha University, Changsha 410022, China
Haixia Zhang: School of Electronic Information and Electrical Engineering, Changsha University, Changsha 410022, China

Energies, 2023, vol. 16, issue 10, 1-11

Abstract: Efficiency optimization is an important goal in the design of permanent magnet generators. However, traditional design optimization methods only focus on improving the rated efficiency without considering the annual cycle for overall efficiency improvement. To overcome this drawback, this paper presents a design optimization method for improving annual energy production (AEP) of wind direct-drive permanent magnet generators. Unlike the conventional efficiency optimization method that only improves the rated point efficiency, the proposed method improves the overall efficiency of the generator during the operating cycle by matching the maximum power point trajectory of the wind turbine. The periodic loss model of the permanent magnet generator is established and further constituted as the objective function to perform the optimization search using a genetic algorithm. Through simulation and experimental verification, the proposed method can obtain a higher AEP compared with the conventional design optimization method, and the proposed method can be extended to other variable speed power generation fields.

Keywords: annual energy production; permanent magnet synchronous generator; design optimization; maximum power point tracking; wind turbine (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
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/16/10/4120/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/10/4120/ (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:16:y:2023:i:10:p:4120-:d:1148104

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 ().