Multi-level progressive classification and identification method for small-current ground faults

Abstract

The invention relates to a multi-level progressive classification and identification method for small-current ground faults. Four layers of progressive fault classification data modules are arranged from top to bottom based on time domain characteristics and properties of fault points of fault characteristics, so that problems of incomplete small-current ground fault classification and single identification type and the like are solved. The method comprises is implemented by five steps; fault waveform characteristics of a zero-sequence voltage and a zero-sequence current are extracted at different layers; layer-by-layer fault type identification is carried out by using time domain characteristic identification, a heuristic segmentation algorithm, and an FFT analysis and the like; and thena fault type representing the fault characteristics comprehensively is obtained. With the method provided by the invention, an unclear concept problem during the fault identification process is solved; on the one hand, a fault factor and a distribution rule are obtained deeply and the refined level of the operation and checking management of the distribution network is perfected continuously; andon the other hand, the operation and maintenance personnel is assisted in finding out a potential safety hazard of the distribution network timely, so that the fault searching time is shortened and the operation reliability of distribution network is improved continuously.

Description

technical field [0001] The invention belongs to the field of distribution network fault diagnosis, in particular to a method for identifying ground fault types of distribution network in a small current grounding mode. Background technique [0002] Fault recording data such as power distribution terminals and transient recording fault indicators record the change information of electrical quantities on the line before and after the fault, and can truly reflect the fault status of the power grid. Using it for accurate and effective fault diagnosis has become an important research and development issue. App direction. Fault type identification, as the premise and theoretical basis of fault diagnosis technology, is helpful for in-depth understanding of fault causes and distribution rules, timely discovery of "latent hidden dangers" in the distribution network, further shortening the fault finding time, and promoting the improvement of distribution network operation reliability ...

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the problems of single and fuzzy identification types in the existing fault identification technology, the present invention proposes a multi-level progressive classification identification method for small current grounding faults, which divides the fault features into the time domain characteristics of the fault and the nature of the fault point etc., analyze and identify fault characteristics at different levels from top to bottom, and provide basis for fault type processing

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