Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

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
View PDF6 Cites 0 Cited by
  • 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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • MOA online monitoring method
  • MOA online monitoring method
  • MOA online monitoring method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

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

Embodiment 2

[0048] The data of MOA resistive current in another 110KV substation was collected within one year. The sampling frequency is 1200Hz, the number of sampling points is 8760, and the sampling interval is sampled every hour, such as image 3 In (a) shown. The sampling frequency and current fundamental wave frequency are the same as above, so the above example is decomposed into 4 layers. The resistive current data after exponential weighted average can truly reflect the insulation state of MOA, and 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.

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com