Method and device for recognizing fault type of feed line of power distribution line

Abstract

The invention discloses a method for recognizing the fault type of a feed line of a power distribution line, and the method comprises the steps: obtaining waveform sampling data, and sequentially carrying out the Hilbert-Huang transformation and band-pass filtering of the waveform sampling data; reconfiguring a time frequency matrix according to the band-pass filtering data, solving the singular value of the time frequency matrix, and forming feature vector matrixes; carrying out the normalization processing of all feature vector matrixes, and enabling the feature vector matrixes to serve as the input samples of a multi-stage support vector machine after normalization processing, so as to recognize the fault type of the feed line of the power distribution line. The invention also provides a device for recognizing the fault type of the feed line of the power distribution line. The multi-stage support vector machine is good in performance, is clear in logic, is simple, and can recognize four types of power grid faults: single-phase grounding faults, two-phase grounding faults, two-phase short-circuit faults and three-phase short-circuit faults. The method provided by the invention is stronger in adaptive capability, and still has a high recognition rate of fault types under the impact of noise.

Description

technical field [0001] The invention relates to a method and a device for identifying a fault type of a distribution network feeder. Background technique [0002] In the power system, with the construction of the distribution automation system, the operating range of the distribution network is gradually expanding, and some studies have shown that more than 95% of the faults in the power system occur in the distribution network, and the fault of the distribution network will directly cause Electricity users are severely affected. At present, information such as the type of fault can only be obtained passively by the user reporting for repair, and the maintenance personnel then start the fault processing process to solve the problem based on the information. The efficiency of fault repair is low or even the reliability of the power supply of the distribution network is reduced. The problem of timely and accurately identifying the fault type after a fault and improving the ef...

AI Technical Summary

Problems solved by technology

At present, information such as the type of fault can only be obtained passively by the user reporting for repair, and the maintenance personnel then start the fault processing process to solve the problem based on the information. The efficiency of fault repair is low or even the reliability of the power supply of the distribution network is reduced. The problem of timely and accurately identifying the fault type after a fault and improving the efficiency of fault handling needs to be solved urgently

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