Method for locating grounding fault of power distribution network based on multi-sample frequency wavelet character energy conversion

A technology of ground fault and sampling frequency, which is applied in the field of ground fault location of distribution network based on multi-sampling frequency wavelet feature energy conversion, can solve problems such as discrimination, and achieve the effect of improving accuracy

Active Publication Date: 2017-05-10
BEIJING SIFANG JIBAO AUTOMATION +1
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Problems solved by technology

After the ground fault occurs, it first goes through the transient transition process (1-2 cycles), and then enters the steady state. However, acco

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  • Method for locating grounding fault of power distribution network based on multi-sample frequency wavelet character energy conversion
  • Method for locating grounding fault of power distribution network based on multi-sample frequency wavelet character energy conversion
  • Method for locating grounding fault of power distribution network based on multi-sample frequency wavelet character energy conversion

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Embodiment Construction

[0040] The technical solutions of the present invention will be further described in detail below in conjunction with specific embodiments.

[0041] The distribution network ground fault location method based on multi-sampling frequency wavelet characteristic energy conversion disclosed in this application is shown in the attached figure 1 shown, including the following steps:

[0042] Step 1: Select all feeder branches of the same bus to form a fault line selection group, read the zero-sequence current wave recording measurement of all branches on the feeder, align the starting time to the same time, and form the same starting time and equal length time series.

[0043] In a fault experiment calculation example, according to the order of the outflow bus, the fault monitoring devices of the branches on a feeder are in the order of X 4 、X 3 、X 2 、X 1 , the zero-sequence current wave recording measurement time series uploaded to the distribution network center, after alignmen...

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Abstract

The invention relates to a method for locating a grounding fault of a power distribution network based on multi-sample frequency wavelet character energy conversion. The method comprises the following steps of: adopting the time sequences in equal length and at same starting point for performing wavelet conversion on the original data of the sampling values in different sampling frequencies; converting the acquired original character energy values in all the time sequences onto the minimal sampling frequency; and comparing the magnitude of the relative character energy in all the time sequences in a same frequency, thereby realizing the grounding detection and the fault locating. According to the method, the wavelet conversion is adopted for extracting the fault character energy, converting the fault recording signals in different sampling frequencies into the relative character energy in the minimal sampling frequency and then judging the existence of the grounding fault according to the relative character energy and confirming the beginning and ending of the fault.

Description

technical field [0001] The invention belongs to the technical field of distribution automation. Through the conversion of the wavelet characteristic energy in the distribution network ground fault detection, the detection and positioning of the distribution network ground fault under various sampling frequencies are realized, and the fault characteristic energy is extracted by wavelet transform. The fault recording signal is converted to the relative characteristic energy at the lowest sampling frequency, and then according to the relative characteristic energy, it is judged whether there is a fault and the beginning and end of the fault are determined. Background technique [0002] When a single-phase-to-ground fault occurs in the distribution network, there is a wealth of fault information in the transient process, and the transient process is not affected by the grounding mode, so it is of great significance to use transient components for fault detection. By extracting t...

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Application Information

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IPC IPC(8): G01R31/08
CPCG01R31/086G01R31/088Y04S10/52
Inventor 齐文斌赵玉赵凤青谭志海
Owner BEIJING SIFANG JIBAO AUTOMATION
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