Intelligent Distribution Grid Anomaly Detection and Fault Diagnosis Technology Based on Big Data Analysis
With the advancement of smart grid technology,big data analysis plays a significant role in anomaly detection and fault diagnosis in distribution grids.This paper proposes an intelligent distribution grid anomaly detection and fault diagnosis technology based on big data analysis,aiming to enhance the safety and stability of distribution grids.Real-time monitoring and analysis of grid operation status are achieved through data collection and preprocessing,combined with anomaly detection algorithms and fault diagnosis model construction.Experimental results demonstrate that this technology effectively detects anomalies in distribution networks and accurately diagnoses faults,providing crucial support for grid operation and maintenance.
intelligent distribution gridbig data analysisanomaly detectionfault diagnosisoperation status monitoring