Application of Intelligent Management System for Defects of Substation Equipment

The safe and stable operation of electric power system is related to the national economy and people's livelihood. Transformer link in the power system is in a hub position, the number of substation equipment, wide distribution, equipment status directly affects the safe and stable operation of the system. Timely detection of defects and elimination of hidden dangers are the prerequisites for ensuring equipment safety and power grid safety. Relying on the "cloud, big things, mobile intelligence" technology, the project team of Guangdong Electricity Academy of Sciences comprehensively mines the defects and hidden danger data of the substation equipment, breaks the situation that the existing technical support system is independent and decentralized, the business efficiency is not strong enough, the carrying capacity of the substation defects management personnel is not sufficient, and the automation of control information is not sufficient, and explores the new mode of quasi real-time, senseless and precise control and control of defects and hidden danger. Exploring a new mode of management and control, the company has developed an intelligent system for defect management of substation equipment, which integrates data fusion, intelligent analysis, precision and high efficiency. It makes efficient use of the modern information platform, realizes equipment state evaluation and batch defect diagnosis through multi-dimensional analysis and multi-platform interaction, saves about 90% of workload, improves the quality and efficiency of defect analysis, and realizes the goal of doing practical things for the public and reducing the burden for the grassroots.