Power grid fault judgment method and system based on historical wave data

Abstract

The invention provides a method and a system for judging power grid faults based on historical recording data. The method comprises the steps of constructing a transient breakvariable matrix according to the preset historical recording data and detecting out the abnormal phases of the historical recording data in the transient breakvariable matrix, constructing a characteristic value matrix by virtue of wavelet transform on the historical recording data according to the abnormal phases of the historical recording data and obtaining an input sample set of clustering analysis according to the characteristic value matrix, performing clustering analysis according to the input sample set and establishing a fault reason clustering model and establishing a fault reason clustering model, and extracting the characteristic vector of the real-time recording data, calculating the Euclideandistance of the characteristic vector and the central vector of each cluster, and recording the fault reason corresponding to the cluster having the minimum Euclidean distance as the fault reason of the real-time recording data, wherein the fault reason clustering model comprises a plurality of clusters, and each cluster comprises the central vector and the corresponding fault reason. The method is capable of judging the reasons of the power grid faults by use of the historical recording data in real time.

Description

technical field [0001] The invention relates to the technical field of power grid fault diagnosis, in particular to a power grid fault judgment method based on historical wave recording data, and a power grid fault judgment system based on historical wave recording data. Background technique [0002] At present, there are a large number of sensing devices in the power grid, which record events in the power grid in real time. The alarm records and wave recording files generated by these sensors contain a wealth of information. understanding ability. However, at present, the purpose of most sensor wave recording is to analyze the cause of the failure after the event. The analysis method is generally based on manual analysis, and there is a lack of online, large-scale, and automated analysis methods. The condition for the sensor to start wave recording is often the exceeding of a single index, and in order to provide sufficient evidence when analyzing the cause of the accident...

AI Technical Summary

Problems solved by technology

A large number of wave recording files accumulated over the years, in addition to being used for historical filing and occupying a large amount of hard disk space, have not formed knowledge that can help operators understand the status of the power grid, so that they can identify the cause of the fault in time and take corresponding measures to deal with it, even Make predictions in order to develop necessary preventive measures

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