Issue |
E3S Web Conf.
Volume 252, 2021
2021 International Conference on Power Grid System and Green Energy (PGSGE 2021)
|
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Article Number | 02040 | |
Number of page(s) | 5 | |
Section | Research and Development of Electrical Equipment and Energy Nuclear Power Devices | |
DOI | https://doi.org/10.1051/e3sconf/202125202040 | |
Published online | 23 April 2021 |
Capacity Configuration and Selection of Emergency Power Supply for Wind Farms under Typhoon Conditions
1 Zhejiang Provincial Energy Group Company, Ltd, Hangzhou, Zhejiang, 310000, China
2 Guodian Power Zhejiang Zhoushan Offshore Wind Power Development Co., Ltd, Zhoushan, Zhejiang, 316000, China
3 College of Information Engineering, Zhejiang University of Technology, Hangzhou, Zhejiang, 310014, China
* Corresponding author’s e-mail: zhoudan@zjut.edu.cn
China’s coastal areas are rich in wind energy resources, and there is a huge market demand for wind power generators. However, due to the impact of typhoons every summer, the wind farms are cut off, causing serious damage to the wind turbines and causing significant economic losses. Based on optimizing the yaw system under typhoon conditions, this paper configures and selects the capacity of diesel generators. First, this article introduces the structure and main functions of the yaw control system. Secondly, through the study of the under-stage wind field model, the algorithm of wind speed extreme value and the calculation method of yaw angle and yaw direction are proposed, and hill climbing algorithm is introduced to optimize the work of the yaw control system. Then, a method for calculating the actual power of a single yaw control system is introduced. On this basis, the capacity configuration plan of the standby diesel generator set was determined, so that it can meet the normal yaw work of the whole field yaw system in the event of a power outage in the field to ensure the safety of the wind turbine.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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