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A moa online monitoring method

An algorithm and signal technology, applied in the field of MOA online monitoring, can solve problems such as inability to meet requirements, and achieve the effect of online monitoring and accurate calculation results

Active Publication Date: 2022-06-07
STATE GRID FUJIAN ELECTRIC POWER CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These methods have eliminated the influence of MOA leakage current noise to a certain extent, but still cannot meet the needs of actual engineering

Method used

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  • A moa online monitoring method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0046] Data on the MOA resistive current within one year of a 110kV substation were collected at the sampling frequency f s It is 1200Hz, the number of sampling points is 8760, and the sampling interval is 1 hour, such as Figure 2 (a) in . Resistive current fundamental frequency f is 50Hz, using Equation (2) to calculate the optimal number of decomposition layers of the wavelet packet transformation should meet 3.585≤l≤4.585, so the number of decomposition layers l should take 4 layers, and the number of decomposed sub-signals is 2 4 =16, the frequency length of each sub-signal is obtained from Equation (1), Δf= 37.5HZ, which can completely separate the resistive current signals with 50Hz intervals. The resistive current data after exponentially weighted averaging can truly reflect the insulation state of the MOA, such as its treatment results Figure 2 shown in (b). Figure 2(b) does not fluctuate significantly in the resistive current, indicating that the arrester indicates that t...

Embodiment 2

[0048] Data on the MOA resistive current in one year at another 110KV substation was collected, the sampling frequency was 1200Hz, the number of sampling points was 8760, and the sampling interval was sampled every hour, such as Figure 3 (a) in . The sampling frequency and the current fundamental frequency are the same as above, so they are decomposed into 4 layers as in the above example. The resistive current data after exponentially weighted averaging can truly reflect the insulation state of the MOA, such as its treatment results Figure 3 As shown in (b), Figure 3(b) illustrates that the MOA performs well, but the resistive current has a tendency to slowly increase and should be noted.

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Abstract

The invention relates to an MOA online monitoring method, comprising the steps of: analyzing the signal to be measured, determining the optimal decomposition layer number and the optimal wavelet base of the wavelet packet transform; decomposing the collected MOA resistive current signal into a plurality of modes by EMD The modal component is selected according to the FFT spectrogram, and the modal component containing the characteristic frequency is selected, and the selected modal component is decomposed into multiple sub-signals containing at most one useful eigenfrequency, and the features in each sub-signal are extracted by SVD Frequency; reconstruct the extracted characteristic frequency signal to obtain the high-frequency periodic component of the resistive current signal; eliminate the high-frequency periodic component from the measured resistive current signal, and use the exponential weighted average algorithm to obtain the resistance that can reflect the insulation state of the MOA. Sexual current trend component. The calculation result of the invention is more accurate, and the processing result can meet the requirements of actual engineering survey.

Description

Technical field [0001] The present invention relates to the field of MOA online monitoring technology, in particular a MOA online monitoring method. Background [0002] The protection ability of MOA or whether it is operating normally depends mainly on the performance of the zinc oxide valve plate, and the advantages and disadvantages of the valve plate performance can be reflected to a certain extent by the leakage current, especially the resistive current, and the peak of the resistive current is superimposed by the odd harmonics including the fundamental wave. Resistive current is a weak signal, and the measured data must contain a variety of strong interference components, mainly including environmental factors, high-frequency noise, white noise and immediate pulse interference. Therefore, by removing various noise interferences and extracting the resistive current change trend that can truly reflect the deterioration of the performance of the arrester, the MOA operation stat...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R23/16G01R31/00
CPCG01R23/16G01R31/00Y02E60/00
Inventor 陈敏维阮莹叶行汶王星舒勤徐方维邓明锋廉彦超赖永华连鸿松傅智为刘旭朱宇坤
Owner STATE GRID FUJIAN ELECTRIC POWER CO LTD
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