高电压技术2018，Vol.44Issue(5)：1715-1722,8.DOI:10.13336/j.1003-6520.hve.20180211002
基于触发闪电的共用地网雷电流分布观测及分析
Observation and Analysis of Lightning Current Distribution in the Common Ground Network Based on Triggered Lightning
摘要
Abstract
The analysis on characteristics of lightning current distributed in the common ground network is usually based on theory studies. Wer analyze the problem though field experiment and ATP-EMTP simulation,and have drawn the following conclusions. The average amplitude and quantity of the 5 return strokes in the flats which are used to connect the two independent ground networks are -1.2 kA and -0.24 C, respectively, and the ratios to lightning current are 7.8％ and 27.0％, respectively. The average front time and the time of wave tail in the flat1 are 22.0 μs and 149.2 μs, which are 44 times and 16 times of the lightning,respectively. During a lightning process, the parameters of the M-component of which value is -19.3 kA in flat2 are similar to those of flat1s and are also similar to those of return stroke. According to the comparison of simulation and experiment, we find that the front time of return stroke agrees well with that of experiments when the wave tail is distinctly different in the flats. The simulation M-component agrees well with lightning current in the flats. The attenuation ratio between the lightning current and M-component caused by the network is larger compared to the return stroke, due to the transient effect of ground network the current distributed in the ground network and the ground potential rise (GPR) caused by M-component deserve more attention.关键词
接地/共用地网/触发闪电/野外试验/GPR/M分量Key words
grounding/common ground network/triggered lightning/field experiment/GPR/M-component引用本文复制引用
朱良,陈绍东,颜旭,张义军,吕伟涛,陈绿文..基于触发闪电的共用地网雷电流分布观测及分析[J].高电压技术,2018,44(5):1715-1722,8.基金项目
灾害天气国家重点实验室基金(2016LASW-B09)；国家重点基础研究发展计划(973 计划) (2014CB441405)；国家自然科学基金 (41273114；51420105011)。Project supported by Fund of State Key Laboratory of Severe Weather (2016LASW-B09), National Basic Research Program of China (973 Program) (2014CB441405), National Natural Science Foundation of China (41273114, 51420105011). （2016LASW-B09）
