实测风速分析模拟及微地形下杆塔风速修正方法

doi:10.11930/j.issn.1004-9649.202011004

中国电力 ›› 2022, Vol. 55 ›› Issue (6): 146-153.DOI: 10.11930/j.issn.1004-9649.202011004

实测风速分析模拟及微地形下杆塔风速修正方法

方春华^1,2, 陶玉宁^1,2, 张威³, 智李^1,2, 李景⁴

1. 湖北省输电线路工程技术研究中心，湖北宜昌　443002;
2. 三峡大学电气与新能源学院，湖北宜昌　443002;
3. 国网湖北省电力有限公司宜昌供电公司，湖北宜昌　443000;
4. 国网安庆供电公司，安徽安庆　246000

收稿日期:2020-11-02 修回日期:2021-04-11 出版日期:2022-06-28 发布日期:2022-06-18
作者简介:方春华（1980—），男，博士，副教授，从事输电线路杆塔体系动力响应研究，E-mail：45946866@qq.com;智李（1983—），女，通信作者，讲师，从事输电线路杆塔体系动力响应研究，E-mail：zhiwangzhili@126.com
基金资助:
国家自然科学基金青年科学基金资助项目（基于惯量削弱量责任分担的风电场虚拟惯性补偿控制方法，51907104）。

Analysis and Simulation of Measured Wind Speed and Wind Speed Correction Method of Tower Under Microtopography

FANG Chunhua^1,2, TAO Yuning^1,2, ZHANG Wei³, ZHI Li^1,2, LI Jing⁴

1. Hubei Provincial Engineering Technology Research Center for Power Transmission Line, Yichang 443002, China;
2. College of Electrical Engineering and New Energy, Three Gorges University, Yichang 443002, China;
3. Yichang Power Supply Company, State Grid Hubei Electric Power Co., Ltd., Yichang 443000, China;
4. State Grid Anqing Electric Power Supply Company, Anqing 246000, China

Received:2020-11-02 Revised:2021-04-11 Online:2022-06-28 Published:2022-06-18
Supported by:
This work is supported by Youth Science Foundation Project of National Natural Science Foundation of China (Virtual Inertia Compensation Control Method of Wind Farm Based on the Sharing of the Responsibility of Inertia Weakening, No.51907104)

摘要/Abstract

摘要： 输电线路运行安全受强风影响极大，但以往研究缺乏实测风速数据，忽略微地形对风速系数影响。基于气象观测站实测数据，对风速分布特征及重现期进行研究，完成脉动风速谱修正及模拟；通过Google Earth获取输电线路微地形参数，提出4种微地形下风速修正方法，计算风速修正系数。结果表明：GEV模型更适合于江苏地区风速概率分布密度拟合；江苏地区特高压输电线路设计风速应在34.5～39.0m/s；通过季风-台风-季风时间段内风速时程数据模拟得出脉动风速谱吻合程度较高；当杆塔呼称高一定时，风压修正系数随峰高或坡角的增加而变大；当杆塔呼称高/山高数值高于3.0时，风压修正系数为定值。研究结果可基于Google Earth微地形数据准确计算气象观测站附近微地形区杆塔风速。

关键词: 实测风速, 输电线路, 微地形, 风速修正, 重现期

Abstract: The operation safety of transmission lines is greatly affected by strong wind, but the previous research lacks the measured wind speed data and ignores the influence of micro topography on wind speed coefficient. Based on the measured data of meteorological stations, this paper studies the distribution characteristics and recurrence period of wind speed, completes the correction and Simulation of fluctuating wind speed spectrum, obtains the micro terrain parameters of transmission lines through Google Earth, proposes four kinds of wind speed correction methods under micro terrain, and calculates the wind speed correction coefficient. The results show that GeV model is more suitable for fitting probability distribution density of wind speed in Jiangsu Province. The design wind speed of UHV transmission tower in Jiangsu area should be between 34.5 m/s and 39 m/s. According to the time history data of wind speed in the period of monsoon typhoon monsoon, the fluctuating wind speed spectrum is highly consistent. When the tower nominal height is 1, the wind pressure correction coefficient increases with the increase of peak height or slope angle; when the tower nominal height / mountain height is higher than 3.0, the wind pressure correction coefficient is fixed. The research results can accurately calculate the wind speed of the tower in the micro terrain area near the meteorological observation station based on Google Earth micro terrain data.

Key words: measured wind speed, transmission lines, tiny terrain, wind speed correction, recurrence interval

方春华, 陶玉宁, 张威, 智李, 李景. 实测风速分析模拟及微地形下杆塔风速修正方法[J]. 中国电力, 2022, 55(6): 146-153.

FANG Chunhua, TAO Yuning, ZHANG Wei, ZHI Li, LI Jing. Analysis and Simulation of Measured Wind Speed and Wind Speed Correction Method of Tower Under Microtopography[J]. Electric Power, 2022, 55(6): 146-153.

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实测风速分析模拟及微地形下杆塔风速修正方法

Analysis and Simulation of Measured Wind Speed and Wind Speed Correction Method of Tower Under Microtopography

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实测风速分析模拟及微地形下杆塔风速修正方法

Analysis and Simulation of Measured Wind Speed and Wind Speed Correction Method of Tower Under Microtopography

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