Research on Prediction of Probability of Lightning Current Amplitude in Transmission Line

被引：0

作者：

Teng Yun ^{[1
]}

Li Xin ^{[1
]}

Li Chunlai ^{[1
,2
]}

Ren Jiayu ^{[1
]}

Wang Zedi ^{[1
]}

Yao Shengpeng ^{[1
]}

机构：

[1] Shenyang Univ Technol, Minist Educ, Key Lab Special Elect Machine & High Voltage Appa, Shenyang 110870, Liaoning Provin, Peoples R China

[2] State Grid Qinghai Elect Power Co, Qinghai Elect Power Test & Res Inst, Qinghai Prov Key Lab Photovolta & Its Grid Connec, Xining 810008, Qinghai Provinc, Peoples R China

来源：

PROCEEDINGS OF 2017 9TH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA) | 2017年

关键词：

Transmission line; Lightning current; Amplitude prediction; SYSTEM;

D O I：

10.1109/ICMTMA.2017.59

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Transmission line is one of the most important parts of power network, and its operating safety is the guarantee of the power network's operating safety. The operational accidents on transmission line are mainly caused by lightning accidents. Therefore, grasping the rules of lightning activity on transmission line and studying on lightning current amplitude have very important guiding significance to lightning protection on transmission line. In this paper, the method of interval division is used to improve the prediction model of mine current. And the adaptive neural network algorithm is applied to predict the number of lightning current in the lightning current amplitude of the designated transmission line.

引用

页码：224 / 227

页数：4

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