The US National Lightning Detection Network™ and applications of cloud-to-ground lightning data by electric power utilities

被引:185
作者
Cummins, KL [1 ]
Krider, EP
Malone, MD
机构
[1] Global Atmospher Inc, Tucson, AZ 85706 USA
[2] Univ Arizona, Inst Atmospher Phys, Tucson, AZ 85721 USA
关键词
fault diagnosis; fault location; lightning; lightning detection; power system lightning effects; remote sensing;
D O I
10.1109/15.736207
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Lightning is a significant cause of interruptions or damage in almost every electrical or electronic system that is exposed to thunderstorms. The problem is particularly severe for electric power utilities that have exposed assets covering large areas. Here, we summarize the basic properties of cloud-to-ground (CG) lightning, the primary hazard to structures on the ground, and then we discuss methods of detecting and locating such discharges. We describe the U.S. National Lightning Detection Network(TM) (NLDN), a system that senses the electromagnetic fields that are radiated by individual return strokes in CG flashes. This network provides data on the time of such strokes, their location and polarity and an estimate of the peak current. We discuss the network detection efficiency and location accuracy and some of the Limitations that are inherent in any detection system that operates with a finite number of sensors with fixed trigger thresholds. We also discuss how NLDN data have benefited utilities by providing lightning warnings in real time and information on whether CG strokes are the cause of faults, documenting the response of fixed assets that are exposed to lightning, and quantifying the effectiveness of lightning protection systems, We conclude with some general observations on the use of lightning data by power utilities and we provide some guidelines on the uncertainties in lightning parameters that are acceptable in the industry.
引用
收藏
页码:465 / 480
页数:16
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