Fault Location Analysis of Distribution Networks Considering Intelligent Distributed Feeder Automation

Due to fibre constraints, the use of intelligent distributed feeder automation technology is limited in large-scale distribution networks, and feeder terminal devices are prone to information distortion due to environmental and other factors. Based on the above problems, this paper proposes an intelligent distributed feeder automation distribution network based on 5G communication. Firstly, based on the general architecture of distributed FA of 5G and the fault diagnosis method of distribution network with multi-agent mechanism, the screening of fault zones is carried out. Secondly, considering the end device information distortion, the Bayesian probability model fault segment is used to establish the evaluation function and find the optimal solution to complete the fault segment location. The simulation results show that this method can improve the fault tolerance of fault determination and effectively reduce the failure of fault determination due to FTU information distortion.