Research on Operation and Maintenance Monitoring and Fault Diagnosis of 500 kV Substations Based on Big Data Technology
With the increasing complexity of power systems,traditional operation and maintenance and fault diag-nosis methods are unable to meet the requirements for efficient and safe operation of 500 kV substations.The opera-tion and maintenance monitoring and fault diagnosis system based on Big Data technology utilizes multi-type sen-sors and high-speed Ethernet to facilitate real-time data acquisition,transmission,and storage of equipment infor-mation.By employing machine learning models for fault diagnosis,real-time monitoring and accurate warning of the operating status of power equipment have been achieved.Application results indicate that the improved method significantly enhances fault detection accuracy and response speed,providing critical support for the safe and stable operation of the power grid.
500 kV substationBig Data technologyOperation and maintenance monitoringFault diagnosisWarn-ing system
万方数据
维普
