Abstract
An in-depth study on a lighting location system is conducted in this paper. Firstly, the history and application of this system are summarized. The overall structure is detailed, including the detection principle of the lightning location, the orientation method, the detection circuit, the method of discriminating cloud flash and ground lightning signal, the error analysis, the guideline for station deployment, the preprocessing of the central station, and the function and structure of data server and user interface. The development of a lightning monitoring system in China is presented, and the construction of a new generation of a lightning location system in the Hubei Province power grid is introduced. Through the collection of measured data, the performance of the lightning location system in the lightning accident inspection rate, lightning location, and lightning situation statistics are analyzed. Artificial intelligence algorithms are applied in the lightning warning system. The new system has a high predicting accuracy.
Highlights
Lightning is a high-intensity electromagnetic pulse phenomenon that frequently occurs in nature [1, 2]
It is estimated that the number of trips on high-voltage transmission lines caused by lightning accounts for 40% to 70% in China
In the 1990s, due to the use of the global positioning system (GPS), lightning monitoring added GPS clocks based on a direction finding system to form a time difference direction hybrid system
Summary
Lightning is a high-intensity electromagnetic pulse phenomenon that frequently occurs in nature [1, 2]. With the development of science and technology and the continuous improvement of itself, the location accuracy and detection efficiency of the lightning location system have been greatly improved. The current lightning location system uses GPS satellite positioning technology, satellite communications, geographic information system (GIS), and other high-tech technologies to form a real-time dynamic multipurpose large-scale information system. Chen et al proposed a grid method based on the huge data accumulated by the lightning location systems and used data mining technology to analyze the temporal and spatial distribution of lightning [13]. The lightning parameters of crucial transmission line corridors are analyzed, reducing the error in the area where the line is located. The influence of lightning current amplitude probabilities on the trip rate of the transmission line is investigated, considering different topography and landforms
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