Analysis of Fault Intelligent Detection Technology in Distribution Network Automation Technology
This article explores the application of intelligent fault detection technology in distribution network automation,focusing on key technologies such as multi-source data fusion processing,fault pattern recognition and prediction,real-time monitoring,and rapid response.By constructing a novel multi-source heterogeneous data fusion processing technology,rapid and accurate fault detection and localization are achieved.Additionally,this article proposes a fault pattern recognition and prediction model that integrates convolutional neural networks and long short-term memory networks,as well as a real-time monitoring and rapid response system based on stream data computation.Simulation experimental results demonstrate that the proposed system outperforms traditional methods in terms of fault detection success rate,localization accuracy,and self-healing recovery time,providing effective support for the intelligent upgrading of distribution networks.
distribution network automationintelligent fault detectionmulti-source data fusion
万方数据
维普
