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

机译:美国国家闪电检测网/ sup TM /和电力公司在云对地闪电数据中的应用

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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. 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 US National Lightning Detection Network/sup 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.
机译:雷电是几乎所有遭受雷雨袭击的电气或电子系统中断或损坏的重要原因。对于拥有覆盖大面积资产的电力公司来说,这个问题尤其严重。我们总结了云对地(CG)闪电的基本属性,对地面结构的主要危害,然后讨论了检测和定位此类放电的方法。我们描述了美国国家闪电检测网络/ sup TM /(NLDN),该系统可感应CG闪光中单个回程辐射产生的电磁场。该网络提供有关此类笔触时间,其位置和极性以及峰值电流估计值的数据。我们讨论了网络检测效率和位置精度以及在使用固定触发阈值的有限数量的传感器运行的任何检测系统中固有的一些限制。我们还将讨论NLDN数据如何通过实时提供雷电警告和有关CG冲程是否是故障原因的信息,记录暴露于雷电的固定资产的响应以及量化雷电保护系统的有效性而使公用事业受益。我们以关于电力公司使用雷电数据的一些一般性结论作为结束语,并提供了有关行业中可接受的雷电参数不确定性的一些准则。

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