Device time mark fault-tolerance processing method in grid fault diagnosis

Abstract

The invention discloses a device time mark fault-tolerance processing method in a grid fault diagnosis. The device time mark fault-tolerance processing method comprises the following steps of: starting analysis on a master station fault diagnosis module through a fault diagnosis starting criterion, and collecting protective action events and on-off action events in a fault message acquisition time segment; preliminarily filtrating motion events in the acquisition time segment, dividing the filtrated protective action events and on-off action events in the fault time segment into clusters, and dividing the relative protective action events and on-off action events in into one group according to an association relationship between primary equipment and secondary equipment in a model and real-time network topology, i.e. dividing the clusters and the groups of the motion events in the fault time segment at first; and then judging and selecting a uniform time reference corrected value of each group, using the corrected value as a reference for all protecting devices in each group, and translating a time shaft left and right; and correcting all on-off motion events based on the corrected main protective time of a corresponding master station end, i.e. correcting the time of each group in the cluster.

Description

technical field [0001] The invention relates to a method for processing grid fault diagnosis time scale deviation and belongs to the field of on-line / off-line analysis of power system faults by comprehensive utilization of various fault information by a dispatching / centralized control master station. Background technique [0002] After a fault occurs, a large amount of alarm information will flood into the dispatch center or centralized control station due to protection action, switch action, bus voltage loss, power flow transfer, power flow limit violation, automatic device action, etc. Among these information, in addition to the data of the EMS / SCADA system, the protection action information, the waveform information of the protection device, the wave recording information of the fault recorder, and the protection setting value are all important fault analysis data sources. With the development of power system automation technology, the acquisition of the above information...

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Problems solved by technology

Time correction for each group in the group

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