Application of Transformer Condition Maintenance Based On Multi-dimensional Parameter On-line Monitoring

This paper introduces the application of multi-dimensional state parameter monitoring and fault diagnosis system in transformer state maintenance. It mainly solves the problem of how to improve the level of condition monitoring, evaluation and maintenance. The system integrates the multi-dimensional state monitoring methods of capacitive equipment such as leakage current, partial discharge, oil chromatography and vibration signal. Through a successful case of 500 kV main transformer operation condition monitoring, evaluation, diagnosis and maintenance, this paper describes how to realize the functions of insulation condition monitoring, evaluation, diagnosis and auxiliary maintenance of power network equipment in order to eliminate equipment faults and avoid major power failure. Therefore, the application of the system in smart city can effectively improve the monitoring and maintenance level of power grid equipment and the reliability of Power Grid, and provide support for big data analysis of Smart City Power Grid.