实测风速分析模拟及微地形下杆塔风速修正方法

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。

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

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.