Design of 10 kV Distribution Line Fault Detection System Based on Automation
This paper presents an intelligent fault detection system based on automation technology for distribution line fault detection and diagnosis.The system adopts an edge-cloud collaborative computing architecture and a multi-agent intelligent decision-making framework,utilizing algorithms such as deep learning and knowledge graphs to achieve precise fault diagnosis,rapid localization,and adaptive isolation,with an average localization error not exceeding 30 m and isolation time less than 100 ms.Experimental results demonstrate that the system can achieve fully automated processing of fault detection,localization,isolation,and recovery within millisecond time scales,thereby enhancing the intelligence level of distribution networks and improving power supply reliability.
distribution linefault detectionedge-cloud collaboration
NETL
NSTL
万方数据
