Bibliographic Details
| Title: |
A novel wind turbine control strategy to maximize load capacity in severe wind conditions |
| Authors: |
Wenqin Song, Yongcheng Liu, Zhuxiu Wang, Suyang Ding, Xiangning Lin, Zhongnan Feng, Zhengtian Li |
| Source: |
Energy Reports, Vol 8, Iss , Pp 7773-7779 (2022) |
| Publisher Information: |
Elsevier, 2022. |
| Publication Year: |
2022 |
| Collection: |
LCC:Electrical engineering. Electronics. Nuclear engineering |
| Subject Terms: |
Severe wind condition, Wind farm cut-off, Load capacity, Cohesive control, Electrical engineering. Electronics. Nuclear engineering, TK1-9971 |
| More Details: |
In recent years, there have been many incidents around the world in which wind turbines were cut-off on a large scale due to severe wind conditions, resulting in huge impacts on the power system and seriously affecting the safe and stable operation of the grid. Accordingly, this paper proposes a novel wind turbine control strategy to maximize the load capacity in severe wind conditions, which can track the wind conditions and adjust the wind turbine load in real time to make full use of the transient survivability and power output capacity of wind turbines. Through simulation, it is confirmed that the proposed strategy can effectively reduce the risk of power steep drop in wind farms under severe wind conditions compared with traditional strategies. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2352-4847 |
| Relation: |
http://www.sciencedirect.com/science/article/pii/S2352484722011453; https://doaj.org/toc/2352-4847 |
| DOI: |
10.1016/j.egyr.2022.06.005 |
| Access URL: |
https://doaj.org/article/ee9a5658a711412085536c7a5a9cff0a |
| Accession Number: |
edsdoj.9a5658a711412085536c7a5a9cff0a |
| Database: |
Directory of Open Access Journals |
