Research on Enhancing Distribution Network Fault Detection and Diagnosis Efficiency Using 5G
With the rapid development of modern power systems,the stability and reliability of distribution networks have become crucial factors in ensuring power supply.This paper proposes an efficient fault detection and diagnosis method for distribution networks based on 5G.The method integrates intelligent sensors,edge computing,and big data analysis technology,utilizing the high bandwidth,low latency,and massive connectivity of 5G networks to acquire multidimensional real-time data on the operating status of distribution networks.Fast analysis and processing are conducted at edge nodes.By applying big data analysis to historical fault data and operating parameters,intelligent modeling and analysis can be performed to quickly diagnose fault locations,nature,and causes,significantly reducing fault detection response time and improving fault identification accuracy.Experimental results show that this method can effectively detect and diagnose various types of faults with high precision and real-time performance in complex power system environments,providing strong technical support for enhancing the operational efficiency and reliability of distribution networks.
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