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As an important part of the DMS, the operation state of distribution lines is related to the operation safety of the DMS. Lightning is a natural transient weather phenomenon with high voltage, high current and strong electromagnetic radiation in nature, and it is also one of the more common natural disasters, which has become the primary factor of distribution line tripping. In this article, an algorithm for lightning monitoring and fault identification of overhead distribution lines based on the Internet of Things (IOT) is proposed. According to the distribution characteristics of wavelet energy spectrum under different lightning strikes, the response characteristics and fault identification criteria are constructed. The simulation results verify the real-time and reliability of the online monitoring data transmission of the lightning monitoring system for overhead distribution lines. The method in this article can avoid the influence of lightning impact corona and reflected wave at the end of the line on the accuracy of the algorithm by reasonably selecting the judgment threshold and the monitoring point of current traveling wave, which has high practical value. Through the statistical analysis of various monitoring data of the system, the operation and management department of distribution line can grasp the changes of key operation state of the line in time and lay a solid foundation for the condition maintenance of distribution line.
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