Joint Probability Distribution of Lightning & Wind Speed in Hong Kong

被引：0
|
作者：
Su S. [1 ]
Chen H. [1 ]
Chen X. [2 ]
Xia Y. [3 ]
Chen H. [1 ]
Wu Y. [5 ]
Fu C. [2 ]
机构：
[1] Hunan Province Innovation Center of Renewable Energy & Smart Grids (Changsha University of Science and Technology), Changsha, 410004, Hunan Province
[2] Electric Power Research Institute, China Southern Power Grid Co., Ltd., Guangzhou, 510080, Guangdong Province
[3] Dongguan Power Supply Bureau of Guangdong Power Grid Corporation, Dongguan, 523000, Guangdong Province
[4] Electric Power Planning & Engineering Institute, Xicheng District, Beijing
[5] Southwest Electric Power Design Institute Co., Ltd. of China Power Engineering Consulting Group, Chengdu, 610021, Sichuan Province
来源：
Dianwang Jishu/Power System Technology | 2018年 / 42卷 / 07期
基金：
中国国家自然科学基金;
关键词：
Joint probability distribution; Lightning; Lightning overvoltage; Wind speed; Windage yaw flashover;
D O I：
10.13335/j.1000-3673.pst.2018.0184
中图分类号：
学科分类号：
摘要：
Probability distribution of lightning data plays a key role in lightning protection of transmission lines. The design of wind deviation under lightning overvoltage of transmission tower is an empirical parameter in transmission line design code. Meteorological data of Hong Kong are investigated to analyze joint probability distribution of lightning and wind. It is uncovered that daily cloud to ground (CG) flashes follows Burr distribution, which is highly skewed toward a few days with notable lightning. The lightning and wind follows a Gumbel-Copula joint distribution. According to empirical and theoretical distribution, there are about 20% of CG flashes occur in the days with wind around or over 15 m/s and CG flashes over 1000. In-depth investigation suggests that the severe convection with squall line contribute much to the likelihood of the days with high wind and lightning storms. © 2018, Power System Technology Press. All right reserved.
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收藏
页码：2346 / 2352
页数：6
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