电瓷避雷器Issue(3)：8-17,10.DOI:10.16188/j.isa.1003-8337.2025.03.002
高原山区复杂微地形影响下输电线路雷击跳闸率大数据修正方法研究
Big Data Correction Method for Lightning Strike Trip Rate of Transmission Lines Under the Influence of Complex Micro-Terrain in Mountainous Areas of Plateau
摘要
Abstract
Micro-terrain factors have a significant impact on the lightning strike on transmission line tow-ers.However,the mechanism of micro-terrain affecting line lightning strike trip rate is complex,and the results of existing lightning strike trip rate calculation methods are quite different from the actual val-ues.Currently there is still a lack of calculation methods to accurately quantify the impact of micro-ter-rain.Therefore,the automatic identification and extraction of microtopography of transmission line towers in the mountainous region of Yunnan plateau is completed by geographic information software and physical simulation analysis of surface flowing water,and the accuracy of this automatic extraction model is veri-fied by comparison with manual observation.Further,a BP neural network model with the historical value of lightning trip rate,the calculated simulation value of lightning trip rate,five types of tower structure parameters and six microtopography(elevation,slope,slope direction,ground cover type,water density and topography)statistical parameters as input parameters is established in the plateau mountainous re-gion,making the relative error between the corrected lightning trip rate calculation value and the histori-cal statistical actual value within±20%,and the influence of typical terrain conditions on the lightning trip rate of transmission lines is studied to provide guidance for realizing truly differentiated lightning pro-tection design and modification.关键词
BP神经网络/雷击跳闸率/微地形/地表流水物理模拟分析法Key words
BP neutral network/lightning trip rate/microtopography/surface water physics simulation引用本文复制引用
许保瑜,熊阳献,钱晓明,陈庆宁,邓冶强,何潇,王羽,张昊琛,潘浩..高原山区复杂微地形影响下输电线路雷击跳闸率大数据修正方法研究[J].电瓷避雷器,2025,(3):8-17,10.基金项目
国家自然科学基金青年项目(编号:52207168) （编号:52207168）
国家自然科学基金面上项目(编号:51977162).Project supported by National Natural Science Foundation Youth Project(No.52207168)and National Natural Science Foundation of China(No.51977162). （编号:51977162）
