CN109669101A - A kind of method and device that transformer winding self-oscillation wave characteristic is extracted - Google Patents
A kind of method and device that transformer winding self-oscillation wave characteristic is extracted Download PDFInfo
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- CN109669101A CN109669101A CN201910112022.XA CN201910112022A CN109669101A CN 109669101 A CN109669101 A CN 109669101A CN 201910112022 A CN201910112022 A CN 201910112022A CN 109669101 A CN109669101 A CN 109669101A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
- G01R31/72—Testing of electric windings
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
- G01R31/62—Testing of transformers
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- Power Engineering (AREA)
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- General Physics & Mathematics (AREA)
- Testing Relating To Insulation (AREA)
Abstract
This application discloses the method and devices that a kind of transformer winding self-oscillation wave characteristic is extracted, when the winding of transformer breaks down, in the high pressure neutral point access high voltage direct current excitation of transformer；Response signal is received respectively from the high-pressure side of transformer, medium voltage side and low-pressure side, obtains transformer self-oscillation data；Denoising is carried out to the waveforms of self-oscillation data, the data waveform that obtains that treated；To treated, data waveform is decomposed, and extracts characteristic parameter.The coupling circuit that the technical solution of the application is formed using transformer itself winding capacitor and inductance, oscillator signal is generated in winding ends by DC high-voltage source forcing, and characteristic parameter is extracted by wavelet transform, the effective initial failure for identifying transformer winding.
Description
Technical field
This application involves analysis and survey control technology field more particularly to a kind of transformer winding self-oscillation wave characteristics
The method and device of extraction.
Background technique
Transformer is one of the power transmission and transforming equipment of core the most in electric system, plays the weight of voltage transformation and electric energy transmission
It acts on.In the various failure causes for causing transformer to stop transport, mechanical distortions' failure of winding is considered as principal element
One of.The ratio that State Grid Corporation of China's statistical data shows that the transformer of 35k and ratings above is damaged by short trouble is up to
50%.Currently, by being effectively detected and diagnosing deformation of transformer winding failure early period in winding failure, to prevent transformer
Catastrophic burst accident be always electric system researcher hot spot.
It is therefore proposed that a kind of method that can effectively identify transformer winding initial failure is known as those skilled in the art and works as
The most important thing of preceding work.
Summary of the invention
This application provides the method and devices that a kind of transformer winding self-oscillation wave characteristic is extracted, and fast and effeciently mention
The characteristic parameter for taking out self-oscillation wave, efficiently identifies transformer early stage winding failure.
On the one hand, the embodiment of the present application provides a kind of method that transformer winding self-oscillation wave characteristic is extracted, comprising:
When the winding of transformer breaks down, in the high pressure neutral point access high voltage direct current excitation of transformer；
Response signal is received respectively from the high-pressure side of the transformer, medium voltage side and low-pressure side, obtains the transformer certainly
Induced Oscillation data；
Denoising is carried out to the waveforms of the self-oscillation data, the data waveform that obtains that treated；
Treated that data waveform is decomposed to described, extracts characteristic parameter.
With reference to first aspect, the method that the waveform to self-oscillation data carries out denoising is gone for wavelet soft-threshold
It makes an uproar method.
It is with reference to first aspect, described that treated, data waveform is decomposed, extract characteristic parameter the step of include:
Wavelet transform is carried out to treated the data waveform, obtains discrete wavelet detail signal；
6 layers of decomposition are carried out to the discrete wavelet detail signal, obtain characteristic parameter；
Extract the characteristic parameter.
With reference to first aspect, the waveform to the self-oscillation data carries out denoising, the number that obtains that treated
After waveform further include:
Judge the effect of denoising whether in desired extent；
If the effect of the denoising in desired extent, continues to described, treated that data waveform divides
Solution extracts characteristic parameter；
If the effect of the denoising not in desired extent, again to the waveform of the self-oscillation data into
Row denoising obtains treated data waveform, until the effect of the denoising is in desired extent.
With reference to first aspect, described to treated, data waveform is decomposed, after extraction characteristic parameter further include: root
The transformer winding fault is identified according to the characteristic parameter.
Second aspect, the embodiment of the present application also provides a kind of transformer winding self-oscillation wave characteristic extract device,
Include:
Access unit is motivated, for accessing in the high pressure neutral point of transformer high when the failure of the winding of transformer
Press continuous current excitation；
Oscillation data acquiring unit, for receiving response respectively from the high-pressure side of the transformer, medium voltage side and low-pressure side
Signal obtains the transformer self-oscillation data；
Data waveform acquiring unit carries out denoising for the waveform to the self-oscillation data, after being handled
Data waveform；
Feature extraction unit extracts characteristic parameter for treated that data waveform is decomposed to described.
In conjunction with second aspect, the feature extraction unit is also used to: being carried out to treated the data waveform discrete small
Wave conversion obtains discrete wavelet detail signal；6 layers of decomposition are carried out to the discrete wavelet detail signal, obtain characteristic parameter；It mentions
Take the characteristic parameter.
In conjunction with second aspect, described device further includes denoising effect judging unit, and be used for: judging the effect of denoising is
It is no in desired extent；If the effect of the denoising in desired extent, continues to treated the data wave
Shape is decomposed, and characteristic parameter is extracted；If the effect of the denoising is not in desired extent, again to the self-excitation
The waveform of oscillation data carries out denoising, the data waveform that obtains that treated, until the effect of the denoising is in expection
In range.
In conjunction with second aspect, described device further includes fault identification unit, is used for: according to the characteristic parameter to the change
Depressor winding failure is identified.
From the above technical scheme, the embodiment of the present application provides a kind of transformer winding self-oscillation wave characteristic extraction
Method and device, when transformer winding break down when, transformer high pressure neutral point access high voltage direct current excitation；From
High-pressure side, medium voltage side and the low-pressure side of transformer receive response signal respectively, obtain transformer self-oscillation data；To from exciting
The waveform for swinging data carries out denoising, obtains treated data waveform；To treated, data waveform is decomposed, and is extracted
Characteristic parameter.The coupling circuit that the technical solution of the application is formed using transformer itself winding capacitor and inductance, pass through direct current
High voltage power supply excitation generates oscillator signal in winding ends, and extracts characteristic parameter by wavelet transform, effective to know
The initial failure of other transformer winding.
Detailed description of the invention
In order to illustrate more clearly of the technical solution of the application, attached drawing needed in case study on implementation will be made below
Simply introduce, it should be apparent that, for those of ordinary skills, in the premise of not making the creative labor property
Under, it is also possible to obtain other drawings based on these drawings.
Fig. 1 is the process for the method that a kind of transformer winding self-oscillation wave characteristic provided by the embodiments of the present application is extracted
Figure；
Fig. 2 is the structural frames for the device that a kind of transformer winding self-oscillation wave characteristic provided by the embodiments of the present application is extracted
Figure.
Specific embodiment
In order to make those skilled in the art better understand the technical solutions in the application, below in conjunction with attached drawing, it is right
Technical solution in the embodiment of the present application is clearly and completely described.
Referring to Fig. 1, the embodiment of the present application provides a kind of method that transformer winding self-oscillation wave characteristic is extracted, packet
It includes:
Step 101, when the winding of transformer breaks down, swash in the high pressure neutral point access high voltage direct current of transformer
It encourages.What the DC voltage source that high voltage direct current is actuated to 110kV provided.
Step 102, response signal is received respectively from the high-pressure side of the transformer, medium voltage side and low-pressure side, obtain described
Transformer self-oscillation data.High pressure controllable switch controls the turn-off time, is connect respectively using bottom shielding of bushing capacitor and derided capacitors
Receive response signal.Specifically, can use high-precision oscillograph receives the response signal.
Step 103, denoising is carried out to the waveforms of the self-oscillation data, the data waveform that obtains that treated.?
In transformer self-oscillation waveform, there are a large amount of noises, have difficulties to the extraction of its wave character parameter.It is soft by small echo
Threshold Filter Algorithms carry out denoising to data waveform, wherein the signal-to-noise ratio of default signals and associated noises is 20dB, sampling number
It for 1000 points, and is compared by the signal-to-noise ratio (SNR) to waveform, root-mean-square value error (RMSE), is both reduced and made an uproar
Acoustic jamming, the data waveform for not losing original effective information again.Specific formula is as follows,
Wherein, X (i) is the signal after denoising, and x (i) is measured signal, and n is sampling number, is walked in the embodiment of the present application
The transformer self-oscillation data obtained in rapid 102 can be understood as measured signal.
Step 104, treated that data waveform is decomposed to described, extracts characteristic parameter.
Optionally, the method that the waveform to self-oscillation data carries out denoising is wavelet soft-threshold denoising method.
It is optionally, described that treated, data waveform is decomposed, extract characteristic parameter the step of include:
Step 201, wavelet transform is carried out to treated the data waveform, obtains discrete wavelet detail signal.
Step 202,6 layers of decomposition are carried out to the discrete wavelet detail signal, obtains characteristic parameter.Specifically, using
Sym8 small echo decomposes discrete wavelet detail signal, and based on d6, the feature supplemented by d4, d5, as self-oscillation wave
Parameter carries out the research of transformer initial failure.
Step 203, the characteristic parameter is extracted.
Optionally, the waveform to the self-oscillation data carries out denoising, the data waveform that obtains that treated
Later further include:
Step 301, judge the effect of denoising whether in desired extent.
Step 302, if the effect of the denoising is in desired extent, continue to treated the data wave
Shape is decomposed, and characteristic parameter is extracted.
Step 303, if the effect of the denoising is not in desired extent, again to the self-oscillation data
Waveform carry out denoising, treated data waveform is obtained, until the effect of the denoising is in desired extent.
Optionally, described to treated, data waveform is decomposed, after extraction characteristic parameter further include: according to described
Characteristic parameter identifies the transformer winding fault.
Referring to fig. 2, the embodiment of the present application also provides the device that a kind of transformer winding self-oscillation wave characteristic is extracted, packets
It includes:
Access unit 21 is motivated, for being accessed in the high pressure neutral point of transformer when the failure of the winding of transformer
High voltage direct current excitation.
Oscillation data acquiring unit 22, for receiving sound respectively from the high-pressure side of the transformer, medium voltage side and low-pressure side
Induction signal obtains the transformer self-oscillation data.
Data waveform acquiring unit 23 carries out denoising for the waveform to the self-oscillation data, is handled
Data waveform afterwards.
Feature extraction unit 24 extracts characteristic parameter for treated that data waveform is decomposed to described.
Optionally, the feature extraction unit is also used to: wavelet transform is carried out to treated the data waveform,
Obtain discrete wavelet detail signal；6 layers of decomposition are carried out to the discrete wavelet detail signal, obtain characteristic parameter；Described in extraction
Characteristic parameter.
Optionally, whether described device further includes denoising effect judging unit, be used for: judging the effect of denoising pre-
Within the scope of phase；If the effect of the denoising in desired extent, continues to carry out treated the data waveform
It decomposes, extracts characteristic parameter；If the effect of the denoising is not in desired extent, again to the self-oscillation number
According to waveform carry out denoising, treated data waveform is obtained, until the effect of the denoising is in desired extent.
Optionally, described device further includes fault identification unit, is used for: according to the characteristic parameter to the transformer around
Group failure is identified.
From the above technical scheme, the embodiment of the present application provides a kind of transformer winding self-oscillation wave characteristic extraction
Method and device, when transformer winding break down when, transformer high pressure neutral point access high voltage direct current excitation；From
High-pressure side, medium voltage side and the low-pressure side of transformer receive response signal respectively, obtain transformer self-oscillation data；To from exciting
The waveform for swinging data carries out denoising, obtains treated data waveform；To treated, data waveform is decomposed, and is extracted
Characteristic parameter.The coupling circuit that the technical solution of the application is formed using transformer itself winding capacitor and inductance, pass through direct current
High voltage power supply excitation generates oscillator signal in winding ends, and extracts characteristic parameter by wavelet transform, effective to know
The initial failure of other transformer winding.
The application can be used in numerous general or special purpose computing system environments or configuration.Such as: personal computer, service
Device computer, handheld device or portable device, laptop device, multicomputer system, microprocessor-based system, top set
Box, programmable consumer-elcetronics devices, network PC, minicomputer, mainframe computer, including any of the above system or equipment
Distributed computing environment etc..
The application can describe in the general context of computer-executable instructions executed by a computer, such as program
Module.Generally, program module includes routines performing specific tasks or implementing specific abstract data types, programs, objects, group
Part, data structure etc..The application can also be practiced in a distributed computing environment, in these distributed computing environments, by
Task is executed by the connected remote processing devices of communication network.In a distributed computing environment, program module can be with
In the local and remote computer storage media including storage equipment.
Those skilled in the art will readily occur to its of the application after considering specification and practicing application disclosed herein
Its embodiment.This application is intended to cover any variations, uses, or adaptations of the application, these modifications, purposes or
Person's adaptive change follows the general principle of the application and including the undocumented common knowledge in the art of the application
Or conventional techniques.The description and examples are only to be considered as illustrative, and the true scope and spirit of the application are by following
Claim is pointed out.
It should be understood that the application is not limited to the precise structure that has been described above and shown in the drawings, and
And various modifications and changes may be made without departing from the scope thereof.Scope of the present application is only limited by the accompanying claims.
Claims (9)
1. a kind of method that transformer winding self-oscillation wave characteristic is extracted characterized by comprising
When the winding of transformer breaks down, in the high pressure neutral point access high voltage direct current excitation of transformer；
Response signal is received respectively from the high-pressure side of the transformer, medium voltage side and low-pressure side, obtains the transformer from exciting
Swing data；
Denoising is carried out to the waveforms of the self-oscillation data, the data waveform that obtains that treated；
Treated that data waveform is decomposed to described, extracts characteristic parameter.
2. the method according to claim 1, wherein the waveform to self-oscillation data carries out denoising
Method be wavelet soft-threshold denoising method.
3. the method according to claim 1, wherein described, to treated, data waveform is decomposed, and is extracted
The step of characteristic parameter includes:
Wavelet transform is carried out to treated the data waveform, obtains discrete wavelet detail signal；
6 layers of decomposition are carried out to the discrete wavelet detail signal, obtain characteristic parameter；
Extract the characteristic parameter.
4. the method according to claim 1, wherein the waveform to the self-oscillation data denoises
Processing, after obtaining treated data waveform further include:
Judge the effect of denoising whether in desired extent；
If the effect of the denoising in desired extent, continues to described, treated that data waveform decomposes,
Extract characteristic parameter；
If the effect of the denoising not in desired extent, again removes the waveform of the self-oscillation data
It makes an uproar processing, the data waveform that obtains that treated, until the effect of the denoising is in desired extent.
5. the method according to claim 1, wherein described, to treated, data waveform is decomposed, and is extracted
After characteristic parameter further include: identified according to the characteristic parameter to the transformer winding fault.
6. the device that a kind of transformer winding self-oscillation wave characteristic is extracted characterized by comprising
Access unit is motivated, for accessing high straightening in the high pressure neutral point of transformer when the failure of the winding of transformer
Stream excitation；
Oscillation data acquiring unit, for receiving response signal respectively from the high-pressure side of the transformer, medium voltage side and low-pressure side,
Obtain the transformer self-oscillation data；
Data waveform acquiring unit, for the self-oscillation data waveform carry out denoising, obtain treated number
According to waveform；
Feature extraction unit extracts characteristic parameter for treated that data waveform is decomposed to described.
7. device according to claim 6, which is characterized in that the feature extraction unit is also used to: after the processing
Data waveform carry out wavelet transform, obtain discrete wavelet detail signal；6 layers are carried out to the discrete wavelet detail signal
It decomposes, obtains characteristic parameter；Extract the characteristic parameter.
8. device according to claim 6, which is characterized in that described device further includes denoising effect judging unit, is used for:
Judge the effect of denoising whether in desired extent；If the effect of the denoising continues in desired extent
Treated that data waveform is decomposed to described, extracts characteristic parameter；If the effect of the denoising is not in expected model
In enclosing, then denoising is carried out to the waveform of the self-oscillation data again, the data waveform that obtains that treated, until described
The effect of denoising is in desired extent.
9. device according to claim 6, which is characterized in that described device further includes fault identification unit, is used for: according to
The characteristic parameter identifies the transformer winding fault.
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| CN201910112022.XA CN109669101A (en) | 2019-02-13 | 2019-02-13 | A kind of method and device that transformer winding self-oscillation wave characteristic is extracted |
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| CN201910112022.XA CN109669101A (en) | 2019-02-13 | 2019-02-13 | A kind of method and device that transformer winding self-oscillation wave characteristic is extracted |
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