A method and system for detecting arc faults in series based on limited sampling data

A technology of sampling data and fault arc, applied in the fault location, measuring electricity, measuring device, etc., can solve the problem of unable to detect series arc in time, unable to trigger residual current release, unable to act reliably, etc.

Active Publication Date: 2021-07-06
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This kind of protective device can play a better protective role against faults and accidents such as overload, metallic short circuit, grounding and electric shock; but due to the current limiting effect of the load, the effective value of the series fault arc current is generally much smaller than the metallic short circuit and overload , the overcurrent release cannot operate reliably; while the series fault arc does not generate residual current, and cannot trigger the operation of the residual current release
It can be seen that the existing protection devices cannot detect the existence of series arcs in time, so that the fault arcs can be burned concealed for a long time, which is the main cause of serious electrical fires

Method used

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  • A method and system for detecting arc faults in series based on limited sampling data
  • A method and system for detecting arc faults in series based on limited sampling data
  • A method and system for detecting arc faults in series based on limited sampling data

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Embodiment 1

[0039] Based on the limitations of the existing technology on sampling data, that is: due to the limitation of data storage and processing capabilities, the amount of data per frame is limited; the starting time of each frame is not determined, so that the starting phase of each frame of data is different; adjacent Frame data is discontinuous, and the time interval is uncertain. Traditional arc detection algorithms based on FFT, wavelet transform and other methods cannot obtain ideal calculation results.

[0040] The main idea of ​​the method in this embodiment is: when an arc fault occurs, the load current waveform usually presents characteristics such as a zero-crossing "flat shoulder" and a broken waveform symmetry. Based on the characteristics of the sine function, a calculation method for a class of characteristic indicators is derived, which can use limited sampling data sets to complete the calculation. When an arc fault occurs, the distortion of the current waveform w...

Embodiment 2

[0089] In one or more embodiments, a series arc fault detection system based on limited sampled data is disclosed, comprising:

[0090] A device for continuously sampling the current waveform at a set sampling frequency; after sampling, n sampling data are obtained as a frame of sampling data;

[0091] A device for calculating a set of virtual energy indicators based on the sampling data;

[0092] A device for counting the maximum value, minimum value, mean value and variance of the virtual energy index, and calculating the periodic fluctuation coefficient;

[0093] A device for comparing the periodic fluctuation coefficient with an adaptive threshold to determine whether an arc fault occurs.

[0094] The specific implementation manner of the above-mentioned device adopts the method disclosed in the first embodiment, and details are not repeated here.

Embodiment 3

[0096] In one or more embodiments, a terminal device is disclosed, including a server, the server includes a memory, a processor, and a computer program stored on the memory and operable on the processor, and the processor executes the The program implements the method for detecting arc faults in series based on limited sampling data disclosed in Embodiment 1, and for the sake of brevity, details are not repeated here.

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Abstract

The invention discloses a series fault arc detection method and system based on limited sampling data, comprising: continuously sampling the load current at a set sampling frequency to obtain N sampling data as a frame of sampling data; based on the sampling data, calculate a number of virtual energy indicators; count the maximum value, minimum value, mean value and variance of the virtual energy indicators, and calculate the periodic fluctuation coefficient; compare the periodic fluctuation coefficient with the adaptive threshold to determine whether the line where the load is located arc fault. Beneficial effects of the invention: on the basis of the statistical information of the virtual energy index, a periodic fluctuation index and a dynamic threshold, as well as a fault discrimination method and a dynamic threshold updating algorithm are established. The periodic fluctuation index has a good indication for the series arc fault. When the fault occurs, the index jumps to more than 3 to 8 times of the normal state, which can accurately distinguish the fault from the normal working condition.

Description

technical field [0001] The invention relates to the technical field of arc fault detection, in particular to a method and system for detecting arc faults in series based on limited sampling data. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] Arc faults are generally high-temperature discharges caused by line aging, insulation damage or failure, loose connections, and poor contact. The series fault arc of the low-voltage power supply system has the characteristics of small loop current and strong fault concealment. Combustibles are a serious safety hazard. [0004] At present, current-based protection devices are widely used in power supply and distribution systems, which can be divided into two categories that act on phase current and act on residual current. When the effective value of the phase current or residual current exceeds th...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/08
CPCG01R31/088
Inventor 马庆吴皓
Owner SHANDONG UNIV
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