MOA online monitoring method

A signal and resistive current technology, applied in the field of MOA online monitoring, can solve problems such as unreachable requirements, and achieve the effect of online monitoring and accurate calculation results

Active Publication Date: 2020-12-04
STATE GRID FUJIAN ELECTRIC POWER CO LTD +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

These methods have eliminated the influence of MOA leakage current noise

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0045] Example 1.

[0046] Collect the data of MOA resistive current in a 110kV substation within one year, the sampling frequency f s is 1200Hz, the number of sampling points is 8760, and the sampling interval is 1 hour, such as figure 2 shown in (a). The fundamental frequency f of the resistive current is 50Hz, and the optimal number of decomposition layers of the wavelet packet transform calculated by formula (2) should satisfy 3.585≤l≤4.585, so the number of decomposition layers l should be 4 layers, and the number of decomposed sub-signals is 2 4 =16, the frequency length Δf=37.5HZ of each sub-signal is obtained from the formula (1), which can completely separate the resistive current signals at intervals of 50Hz. The exponentially weighted average resistive current data can truly reflect the insulation state of the MOA. The processing results are as follows: figure 2 shown in (b). Figure 2(b) shows that the resistive current does not fluctuate greatly, indicating ...

Example Embodiment

[0047] Example 2.

[0048] The data of MOA resistive current in one year of a 110KV substation is collected. The sampling frequency is 1200Hz, the number of sampling points is 8760, and the sampling interval is every hour, such as image 3 shown in (a). The sampling frequency and the current fundamental frequency are the same as above, so the above example is decomposed into 4 layers. The exponentially weighted average resistive current data can truly reflect the insulation state of the MOA. The processing results are as follows: image 3As shown in (b) in Figure 3 (b), it shows that the MOA has good performance, but the resistive current tends to increase slowly, which should attract some attention.

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Abstract

The invention relates to an MOA online monitoring method. The method comprises the following steps: analyzing a signal to be monitored, and determining the optimal decomposition layer number and the optimal wavelet basis of wavelet packet transformation; decomposing the collected MOA resistive current signal into a plurality of modal components by adopting EMD, selecting a modal component containing a characteristic frequency according to an FFT spectrogram, carrying out WPT decomposition on the selected modal component into a plurality of sub-signals containing at most one useful characteristic frequency, and extracting the characteristic frequency in each sub-signal by adopting SVD; reconstructing the extracted characteristic frequency signal to obtain a high-frequency periodic componentof the resistive current signal; and eliminating a high-frequency periodic component from the resistive current actual measurement signal, and obtaining a resistive current trend component capable ofreflecting the MOA insulation state by using an exponential weighted average algorithm. The calculation result is more accurate, and the processing result can meet the requirements of actual engineering measurement.

Description

technical field [0001] The invention relates to the technical field of MOA online monitoring, in particular to an MOA online monitoring method. Background technique [0002] The protection ability of MOA or whether it is running normally depends mainly on the performance of the zinc oxide valve plate, and the performance of the valve plate can be reflected to a certain extent by the leakage current, especially the resistive current in it. The peak value of the resistive current is determined by including the base It is formed by the superposition of odd harmonics including waves. Resistive current is a weak signal, and its measured data must contain a variety of strong interference components, mainly including environmental factors, high-frequency noise, white noise and random pulse interference. Therefore, it is necessary to remove all kinds of noise interference and extract the resistive current change trend that can truly reflect the performance degradation state of the ...

Claims

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Application Information

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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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