Study on Joint Probability Density of Transmission Line Wind Speed

被引：0
|
作者：
Chen Youhui [1 ]
Li Hailong [2 ]
Li Dongxue [1 ]
Liu Ran [1 ]
Lu Tianqi [3 ]
机构：
[1] State Grid Liaoning Elect Power Co Ltd, Econ Res Inst, Engn Assessment Ctr, Design Ctr, Shenyang, Peoples R China
[2] State Grid Liaoning Elect Power Co Ltd, Minist Construct, Shenyang, Peoples R China
[3] State Grid Liaoning Elect Power Co Ltd, Econ Res Inst, Planning & Finance Dept, Shenyang, Peoples R China
来源：
2020 CHINESE AUTOMATION CONGRESS (CAC 2020) | 2020年
关键词：
average wind speed; average wind load; Wind-induced response; wind deflections;
D O I：
10.1109/CAC51589.2020.9326750
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
It is an important part of the field of wind engineering to study the distribution characteristics of the average wind speed and accurately calculate the average wind load acting on the structure. Therefore, a probabilistic density function modeling method for joint wind speed and direction based on the principle of maximum entropy is proposed. This method uses flat terrain measured wind speed and wind direction data and monthly extreme wind speed and wind direction data in a place in my country to establish a joint distribution model, and applies them to calculate the incidence of transmission line wind deflections and determine the basic wind speed considering wind direction. The simulation verification results show that the method can determine the wind direction angle during the wind deflection accident and the number of times the wind deflection occurs on the transmission line with different wind direction angles during the recurrence period.
引用
收藏
页码：1163 / 1166
页数：4
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