Research on Overvoltage Fault Monitoring and Recognition System of the Distribution Network Based on Edge Computing

Given the shortcomings of the traditional distribution network overvoltage protection in terms of delay, this paper adopts edge computing to improve the effectiveness of the distribution network overvoltage early warning identification. First, the various functional modules of the Power Distribution Internet of Things (PD-IoT) based on edge computing are determined. Secondly, this paper constructs the framework of the distribution network overvoltage online monitoring system based on edge computing, analyzes each unit's working principle in detail, and gives the function realization method. This paper selects the Hilbert-Huang transform as the overvoltage data analysis algorithm when extracting the overvoltage characteristic quantity. Finally, the data is collected, analyzed, and transmitted through the overvoltage online monitoring and recognition system, and then quickly determines the fault point and provides a maintenance plan, which provides strong support for improving the power supply reliability of the power supply grid.