Distributed power grid online wave recording method and system

Abstract

The invention discloses a distributed power grid online wave recording method and system. The method comprises the following steps: obtaining sampling data with timestamps sent by sampling devices installed at all monitoring points in the form of data streams; correspondingly writing the obtained sampling data into an annular buffer area configured for each sampling device, and simultaneously carrying out feature analysis on the sampling data elements cached in each annular buffer area one by one; wherein if the feature analysis result is that the features are abnormal, the related sampling data are stored as a wave recording file for fault analysis. Therefore, fault analysis of the holographic waveform data can be realized, and comprehensive feature analysis can be performed while the sampling data is written by configuring the corresponding annular buffer area for each sampling device in the cloud server so that data copying and moving operation of the cloud server can be avoided, and the analysis efficiency of holographic waveform data fault analysis is improved.

Description

technical field [0001] The invention relates to electric power system waveform monitoring technology, in particular to an online wave recording method and system for a distributed power grid. Background technique [0002] Waveform is one of the key technologies for power system fault identification. Using fault characteristic current, voltage mutation, current and voltage over limit, and frequency change as start-up conditions, recording fault state waveforms has been widely used in the field of fault handling, but for no fault characteristics or When the fault characteristics are not obvious, the wave recording cannot be effectively started. In order to effectively analyze the fault, the holographic waveform data becomes very important. However, for the fault analysis of massive holographic waveform data, factors such as transmission rate and storage efficiency need to be considered, otherwise it is difficult to ensure that the fault identification system can identify fault...

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Problems solved by technology

[0002] Waveform is one of the key technologies for power system fault identification. Using fault characteristic current, voltage mutation, current and voltage over limit, and frequency change as start-up conditions, recording fault state waveforms has been widely used in the field of fault handling, but for no fault characteristics or When the fault characteristics are not obvious, the wave recording cannot be effectively started. In order to effectively analyze the fault, the holographic waveform data becomes crucial

However, for the fault analysis of massive holographic waveform data, factors such as transmission rate and storage efficiency need to be considered, otherwise it is difficult to ensure that the fault identification system can identify faults in a timely manner and perform corresponding fault response control

[0003] Chinese invention patent application CN111107050A discloses a distributed wave recording method and device for a distribution network dynamic model system. By adopting a dual-memory cache mechanism, the data cache and file writing are separated, the accuracy of data writing is improved, and the system Response time improves system throughput; however, with the expansion of the number of oscilloscopes, a large amount of memory needs to be reconfigured, which will bring additional workload and high expansion costs

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