Power Grid Fault Diagnosis Based on Network Message Data Analysis
In the event of a grid failure,the information (SV and GOOSE message) about the primary equipment fault process can be acquired through the network analysis device.Due to the large amount of data containing all information about primary and secondary equipments,it is difficult for the personnel to make a quick and accurate judgment about the fault type from the massive data,therefore affecting the fault treatment and safe grid operation.In this paper,modeling is unified based on network message data about the primary equipments.The comprehensive data analysis between multiple substations can be achieved by acquiring alarm information,network message information and wave recording information through network message analysis devices; meanwhile,the longitudinal differential principle is applied to fault diagnosis,which can realize accurate fault diagnosis of power grid,and provide data basis for accident treatment.
NETL
NSTL
万方数据
维普
