基于雷电物理的风机叶片动态击距与 电气几何模型
Wang, Guozheng and Zhang, Li and Guo, Zixin and Ma, Yufei and Li, Qingmin and Yan, Jiangyan and Zhao, Tong and Zou, Liang and Siew, Wah Hoon (2017) 基于雷电物理的风机叶片动态击距与 电气几何模型. Proceedings of the Chinese Society of Electrical Engineering, 37 (21). pp. 6427-6436. ISSN 0258-8013 (https://doi.org/10.13334/j.0258-8013.pcsee.170080)
Preview |
Text.
Filename: Wang_etal_PCSEE_2017_Dynamic_striking_distance_and_electrical_geometry_model_of_wind.pdf
Accepted Author Manuscript Download (1MB)| Preview |
Abstract
The damage of wind turbine blades suffered lightning strikes has been a key factor of the safe and reliable operation of wind farms. The electric geometrical model of wind turbine blades (EGMTB) was presented based on the traditional electric geometrical method and the physical process of lightning leader. The concept of dynamic striking distance was introduced and clarified the physical meaning of striking distance. And the calculation method of blade lightning protection system (LPS) efficiency was deduced. Finally, the effectiveness of EGMTB was validated by the long gap breakdown experiment of blades. The EGMTB was used to analyze the influence factors of blade LPS efficiency. It is indicated that the efficiency of blade LPS reduces with the decrease of lightning current and the angle between the blade and horizontal, and the efficiency of blade LPS can be improved by increasing the side lightning receptors. The EGMTB is intended to provide a theory for lightning protection design and evaluation of wind turbine blades.
ORCID iDs
Wang, Guozheng, Zhang, Li, Guo, Zixin, Ma, Yufei, Li, Qingmin, Yan, Jiangyan, Zhao, Tong, Zou, Liang and Siew, Wah Hoon ORCID: https://orcid.org/0000-0003-4000-6856;-
-
Item type: Article ID code: 64643 Dates: DateEvent5 December 2017Published12 July 2017AcceptedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 28 Jun 2018 15:46 Last modified: 19 Nov 2024 01:11 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/64643