CN106338237A  Transformer winding deformation detection method based on frequency response impedance method  Google Patents
Transformer winding deformation detection method based on frequency response impedance method Download PDFInfo
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 CN106338237A CN106338237A CN201510400886.3A CN201510400886A CN106338237A CN 106338237 A CN106338237 A CN 106338237A CN 201510400886 A CN201510400886 A CN 201510400886A CN 106338237 A CN106338237 A CN 106338237A
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 238000004804 winding Methods 0.000 title claims abstract description 57
 238000001514 detection method Methods 0.000 title claims abstract description 12
 230000005284 excitation Effects 0.000 claims abstract description 4
 238000000034 method Methods 0.000 claims description 5
 230000000875 corresponding Effects 0.000 claims description 3
 238000005259 measurement Methods 0.000 claims description 3
 238000010606 normalization Methods 0.000 claims description 3
 238000003745 diagnosis Methods 0.000 abstract description 5
 238000006243 chemical reaction Methods 0.000 description 1
 238000005516 engineering process Methods 0.000 description 1
 230000004048 modification Effects 0.000 description 1
 238000006011 modification reaction Methods 0.000 description 1
 238000006467 substitution reaction Methods 0.000 description 1
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Abstract
The invention relates to a transformer winding deformation detection method based on a frequency response impedance method. The method comprises the steps that a frequency response method is used to measure voltage and the current signals of the response end and the excitation end of a transformer winding to be detected; measured data are used to calculate the impedance of the winding to be detected at different frequencies; the impedance data of the winding to be detected and the impedance data of the normal winding are used to draw a frequency response impedance curve at low frequency band (10 to 1000Hz) and intermediate frequency band (1 to 45kHz); and acquired impedance data are used to calculate correlation coefficients of two curves, so as to determine the winding deformation. According to the invention, the wiring manner of the frequency response method is used; other criteria are acquired to diagnose the transformer winding deformation; a result and the diagnosis result of the frequency response method are reference for each other; and the correctness of transformer winding deformation diagnosis is improved.
Description
Technical field
The invention belongs to Fault Diagnosis for Electrical Equipment technical field, more particularly, to one kind are based on frequency response impedance method
Deformation of transformer winding detection method.
Background technology
Transformator is important electrical equipment in power system, serve as in power system energy distribution,
The vital task of electric pressure conversion, its operational reliability is the important guarantor of power system stability safe operation
Barrier.Actual motion statistical result shows, winding deformation is one of most commonly seen fault of transformator, reliable,
Detect deformation of transformer winding for reduction power transformer accident rate, guarantee transformator exactly
Safe operation is significant.
Frequency response method is currently to detect one of topmost method of deformation of transformer winding both at home and abroad.When sharp
When encouraging signal frequency higher than 1khz, Transformer Winding can be equivalent to a passive linear network, frequency
Response characteristic is a prominent property of this passive linear network.For the transformator of a determination, its
Frequency response characteristic is unique, when there is winding deformation due to certain fault in transformator, its winding
The frequency response characteristic of equivalent network also can change therewith.When applying frequency response method is tested,
Transformer Winding side applies sinusoidal frequency scanning signal, and the opposite side in winding gathers this frequency sweep letter simultaneously
Number response signal, then pass through to process to obtain the frequency response curve of winding, before and after relative analyses fault
The difference of winding frequency response curve is differentiating the deformation of winding.
In actual test, due to the interference of live electromagnetic signal, and wire length, earth point position
With the impact to test result such as the contact resistance of test fixture, cause test data poor repeatability, distortion,
Even cause the erroneous judgement to winding deformation.Therefore, using the mode of connection of frequency response method, research is a kind of
New transformer winding fault decision method, the diagnostic result reference each other with frequency response method, there is weight
The realistic meaning wanted.
Content of the invention
It is an object of the invention to, a kind of deformation of transformer winding detection side based on frequency response impedance method is provided
Method, using the mode of connection of frequency response method, obtains other criterions by this method and diagnoses Transformer Winding
Deformation, the diagnostic result reference each other with frequency response method, improves the correct of deformation of transformer winding diagnosis
Rate.
The technical scheme is that, based on the deformation of transformer winding detection method of frequency response impedance method, have
Body comprises the steps of
Step 1: select Transformer Winding to be detected, apply sinusoidal frequency scanning signal u in its one end_{s},
Measurement response terminal voltage u at different frequencies_{2}(f), excitation terminal voltage u_{1}(f) and the electric current flowing through winding
i(f).
Step 2: for the voltage, the current signal that gather acquisition in abovementioned steps 1, by data processing
Obtain resistance value z (f) under different frequency.
Step 3: for impedance calculated in step 2, point lowfrequency range (10～1000hz) and intermediate frequency
Section (1～45khz) draws frequency response impedance curve, and wherein abscissa is frequency f, and vertical coordinate is corresponding resistance
Anti value.In the same manner, by Transformer Winding, frequency response impedance curve when normal is plotted under same coordinate system.
Step 4: for the curve data obtaining in step 3, two curves are defined using correlation coefficient process
Similarity, winding deformation situation is judged according to similarity.
In described step 2, specifically comprise the steps of
Step 21: for the voltage recording in step 1, current signal, for frequency in 10～1000hz
The data inside recording, according to formula $\stackrel{\→}{z}\left(f\right)=\left(\frac{{\stackrel{\→}{u}}_{i}\left(f\right){\stackrel{\→}{u}}_{o}\left(f\right)}{\stackrel{\→}{i}\left(f\right)}\right)=r\left(f\right)+\mathrm{jx}\left(f\right)$ With $\left\stackrel{\→}{z}\left(f\right)\right=\sqrt{{r}^{2}\left(f\right)+{x}^{2}\left(f\right)}$ In calculating
The resistance value of frequency range.
Step 22: for the voltage recording in step 1, current signal, for frequency in 1～45khz
The data inside recording, according to formula $h\left(f\right)=20\mathrm{log}\sqrt{{r}^{2}\left(f\right)+{x}^{2}\left(f\right)}=20\mathrm{log}\left(\right\stackrel{\→}{z}\left(f\right)\left\right)$ Calculate the impedance of Mid Frequency
Value.
In described step 4, specifically comprise the steps of
Step 41: for the curve data obtaining in step 2 it is assumed that it is the amplitude that two length are n
Sequence x (i), y (i), i=0,1 ... ..., n1, and x (i), y (i) are real number.Calculate two sequences
Standard variance, wherein ${\mathrm{\σ}}_{x}=\frac{1}{n}\underset{i=1}{\overset{n}{\mathrm{\σ}}}{[{x}_{i}\frac{1}{n}\underset{i=1}{\overset{n}{\mathrm{\σ}}}{x}_{i}]}^{2},{\mathrm{\σ}}_{y}=\frac{1}{n}\underset{i=1}{\overset{n}{\mathrm{\σ}}}{[{y}_{i}\frac{1}{n}\underset{i=1}{\overset{n}{\mathrm{\σ}}}{y}_{i}]}^{2}.$
Step 42: for two amplitude sequences in step 41, calculate the covariance of two sequences ${c}_{\mathrm{xy}}=\frac{1}{n}\underset{i=1}{\overset{n}{\mathrm{\σ}}}[{x}_{i}\frac{1}{n}\underset{i=1}{\overset{n}{\mathrm{\σ}}}{x}_{i}]\×[{y}_{i}\frac{1}{n}\underset{i=1}{\overset{n}{\mathrm{\σ}}}{y}_{i}].$
Step 43: for two amplitude sequences in step 41, using the standard variance in step 41 and
Covariance in step 42, the covariance of two sequences is done normalized
Step 44: for the covariance lr after normalization in step 43_{xy}If, 1lr_{xy}＜ 10^{10}, then related
Coefficient r_{xy}For 10；If 1lr_{xy}≥10^{10}, then correlation coefficient r_{xy}=lg (1lr_{xy}).
Step 45: for the correlation coefficient r of step 44_{xy}If, r_{xy}＜ 0.6, then judge Transformer Winding as
Gross distortion；If 0.6≤r_{xy}＜ 1, then judge that Transformer Winding deforms as obvious；If r_{xy}>=1, then winding is being just
Often.
Deformation of transformer winding detection method based on frequency response impedance method provided by the present invention, using frequency
The mode of connection of response method, obtains other criterions by this method and diagnoses deformation of transformer winding, with frequency
The reference each other of the diagnostic result of response method, improves the accuracy of deformation of transformer winding diagnosis.
Brief description
Fig. 1 is the flow process of the deformation of transformer winding detection method based on frequency response impedance method of the present invention
Figure；
Fig. 2 is the flow chart calculating resistance value under different frequency described in step 2 of the present invention；
Fig. 3 is the flow chart of the calculating frequency response impedance curve correlation coefficient method described in step 4 of the present invention；
Specific embodiment
Below according to Fig. 1～Fig. 3, illustrate presently preferred embodiments of the present invention.It is emphasized that under
State bright being merely exemplary, rather than in order to limit the scope of the present invention and its application.
As shown in figure 1, the deformation of transformer winding detection side based on frequency response impedance method provided by the present invention
Method, specifically comprises the steps of.
Step 1: select Transformer Winding to be detected, apply sinusoidal frequency scanning signal u in its one end_{s},
Measurement response terminal voltage u at different frequencies_{2}(f), excitation terminal voltage u_{1}(f) and the electric current flowing through winding
i(f).
Step 2: for the voltage, the current signal that gather acquisition in abovementioned steps 1, by data processing
Obtain resistance value z (f) under different frequency.
Step 21: for the voltage recording in step 1, current signal, for frequency in 10～1000hz
The data inside recording, according to formula $\stackrel{\→}{z}\left(f\right)=\left(\frac{{\stackrel{\→}{u}}_{i}\left(f\right){\stackrel{\→}{u}}_{o}\left(f\right)}{\stackrel{\→}{i}\left(f\right)}\right)=r\left(f\right)+\mathrm{jx}\left(f\right)$ With $\left\stackrel{\→}{z}\left(f\right)\right=\sqrt{{r}^{2}\left(f\right)+{x}^{2}\left(f\right)}$ In calculating
The resistance value of frequency range.
Step 22: for the voltage recording in step 1, current signal, for frequency in 1～45khz
The data inside recording, according to formula $h\left(f\right)=20\mathrm{log}\sqrt{{r}^{2}\left(f\right)+{x}^{2}\left(f\right)}=20\mathrm{log}\left(\right\stackrel{\→}{z}\left(f\right)\left\right)$ Calculate the impedance of Mid Frequency
Value.
Step 3: for impedance calculated in step 2, point lowfrequency range (10～1000hz) and intermediate frequency
Section (1～45khz) draws frequency response impedance curve, and wherein abscissa is frequency f, and vertical coordinate is corresponding resistance
Anti value.In the same manner, by Transformer Winding, frequency response impedance curve when normal is plotted under same coordinate system.
Step 4: for the curve data obtaining in step 3, two curves are defined using correlation coefficient process
Similarity, winding deformation situation is judged according to similarity.
Step 41: for the curve data obtaining in step 2 it is assumed that it is the amplitude that two length are n
Sequence x (i), y (i), i=0,1 ... ..., n1, and x (i), y (i) are real number.Calculate two sequences
Standard variance, wherein ${\mathrm{\σ}}_{x}=\frac{1}{n}\underset{i=1}{\overset{n}{\mathrm{\σ}}}{[{x}_{i}\frac{1}{n}\underset{i=1}{\overset{n}{\mathrm{\σ}}}{x}_{i}]}^{2},{\mathrm{\σ}}_{y}=\frac{1}{n}\underset{i=1}{\overset{n}{\mathrm{\σ}}}{[{y}_{i}\frac{1}{n}\underset{i=1}{\overset{n}{\mathrm{\σ}}}{y}_{i}]}^{2}.$
Step 42: for two amplitude sequences in step 41, calculate the covariance of two sequences ${c}_{\mathrm{xy}}=\frac{1}{n}\underset{i=1}{\overset{n}{\mathrm{\σ}}}[{x}_{i}\frac{1}{n}\underset{i=1}{\overset{n}{\mathrm{\σ}}}{x}_{i}]\×[{y}_{i}\frac{1}{n}\underset{i=1}{\overset{n}{\mathrm{\σ}}}{y}_{i}].$
Step 43: for two amplitude sequences in step 41, using the standard variance in step 41 and
Covariance in step 42, the covariance of two sequences is done normalized
Step 44: for the covariance lr after normalization in step 43_{xy}If, 1lr_{xy}＜ 10^{10}, then related
Coefficient r_{xy}For 10；If 1lr_{xy}≥10^{10}, then correlation coefficient r_{xy}=lg (1lr_{xy}).
Step 45: for the correlation coefficient r of step 44_{xy}If, r_{xy}＜ 0.6, then judge Transformer Winding as
Gross distortion；If 0.6≤r_{xy}＜ 1, then judge that Transformer Winding deforms as obvious；If r_{xy}>=1, then winding is being just
Often.
Although present disclosure has been made to be discussed in detail by above preferred embodiment, but it should understanding
It is not considered as limitation of the present invention to the description above.Read abovementioned in those skilled in the art
After content, the multiple modifications and substitutions for the present invention all will be apparent from.Therefore, the present invention
Protection domain should be limited to the appended claims.
Claims (3)
1. the deformation of transformer winding detection method based on frequency response impedance method is it is characterised in that described side
Method comprises the steps of
Step 1: select Transformer Winding to be detected, apply sinusoidal frequency scanning signal in its one end
u_{s}, measurement response terminal voltage u at different frequencies_{2}(f), excitation terminal voltage u_{1}(f) and flow through winding
Electric current i (f).
Step 2: for the voltage, the current signal that gather acquisition in abovementioned steps 1, at data
Reason obtains resistance value z (f) under different frequency.
Step 3: for impedance calculated in step 2, point lowfrequency range (10～1000hz) and
Mid Frequency (1～45khz) draws frequency response impedance curve, and wherein abscissa is frequency f, and vertical coordinate is
Corresponding resistance value.In the same manner, by Transformer Winding frequency response impedance curve when normal be plotted in same
Under coordinate system.
Step 4: for the curve data obtaining in step 3, two songs are defined using correlation coefficient process
The similarity of line, judges winding deformation situation according to similarity.
2. the deformation of transformer winding detection method based on frequency response impedance method as claimed in claim 1,
It is characterized in that, in described step 2, specifically comprise the steps of
Step 21: for the voltage recording in step 1, current signal, for frequency in 10～1000hz
The data inside recording, according to formula $\stackrel{\→}{z}\left(f\right)=\left(\frac{{\stackrel{\→}{u}}_{i}\left(f\right){\stackrel{\→}{u}}_{o}\left(f\right)}{\stackrel{\→}{i}\left(f\right)}\right)=r\left(f\right)+\mathrm{jx}\left(f\right)$ With $\left\stackrel{\→}{z}\left(f\right)\right=\sqrt{{r}^{2}\left(f\right)+{x}^{2}\left(f\right)}$ Meter
Calculate the resistance value of Mid Frequency.
Step 22: for the voltage recording in step 1, current signal, for frequency in 1～45khz
The data inside recording, according to formulaCalculate the resistance of Mid Frequency
Anti value.
3. the deformation of transformer winding detection method based on frequency response impedance method as claimed in claim 1,
It is characterized in that, in described step 4, specifically comprise the steps of
Step 41: for the curve data obtaining in step 2 it is assumed that it is two length is n's
Amplitude sequence x (i), y (i), i=0,1 ... ..., n1, and x (i), y (i) are real number.Calculate two
The standard variance of sequence, wherein ${\mathrm{\σ}}_{x}=\frac{1}{n}\underset{i=1}{\overset{n}{\mathrm{\σ}}}[{x}_{i}\frac{1}{n}\underset{i=1}{\overset{n}{\mathrm{\σ}}}{x}_{i}{]}^{2},$ ${\mathrm{\σ}}_{y}=\frac{1}{n}\underset{i=1}{\overset{n}{\mathrm{\σ}}}[{y}_{i}\frac{1}{n}\underset{i=1}{\overset{n}{\mathrm{\σ}}}{y}_{i}{]}^{2}.$
Step 42: for two amplitude sequences in step 41, calculate the covariance of two sequences ${c}_{\mathrm{xy}}=\frac{1}{n}\underset{i=1}{\overset{n}{\mathrm{\σ}}}[{x}_{i}\frac{1}{n}\underset{i=1}{\overset{n}{\mathrm{\σ}}}{x}_{i}]\×[{y}_{i}\frac{1}{n}\underset{i=1}{\overset{n}{\mathrm{\σ}}}{y}_{i}].$
Step 43: for two amplitude sequences in step 41, using the standard side in step 41
Covariance in difference and step 42, the covariance of two sequences is done normalized ${\mathrm{lr}}_{\mathrm{xy}}={c}_{\mathrm{xy}}/\sqrt{{\mathrm{\σ}}_{x}{\mathrm{\σ}}_{y}}.$
Step 44: for the covariance lr after normalization in step 43_{xy}If, 1lr_{xy}＜ 10^{10}, then
Correlation coefficient r_{xy}For 10；If 1lr_{xy}≥10^{10}, then correlation coefficient r_{xy}=1g (1lr_{xy}).
Step 45: for the correlation coefficient r of step 44_{xy}If, r_{xy}＜ 0.6, then judge Transformer Winding
For gross distortion；If 0.6≤r_{xy}＜ 1, then judge that Transformer Winding deforms as obvious；If r_{xy}>=1, then
Winding is normal.
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Cited By (5)
Publication number  Priority date  Publication date  Assignee  Title 

CN108646132A (en) *  20180326  20181012  国网湖南省电力有限公司  A kind of winding deformation diagnostic method based on transformer winding frequency response data Characteristic Extraction 
CN108896863A (en) *  20180523  20181127  国网辽宁省电力有限公司电力科学研究院  A kind of linearly dependent coefficient calculation method of frequency response winding deformation analysis 
CN108917906A (en) *  20180402  20181130  西南交通大学  A kind of tractive transformer winding deformation fault detection method 
CN111597957A (en) *  20200512  20200828  三峡大学  Transformer winding fault diagnosis method based on morphological image processing 
CN113064008A (en) *  20210325  20210702  广东电网有限责任公司广州供电局  Mediumvoltage fuse quality detection method, device, equipment and medium 

2015
 20150710 CN CN201510400886.3A patent/CN106338237A/en active Pending
Cited By (8)
Publication number  Priority date  Publication date  Assignee  Title 

CN108646132A (en) *  20180326  20181012  国网湖南省电力有限公司  A kind of winding deformation diagnostic method based on transformer winding frequency response data Characteristic Extraction 
CN108646132B (en) *  20180326  20200505  国网湖南省电力有限公司  Winding deformation diagnosis method based on transformer winding frequency response data characteristic quantity extraction 
CN108917906A (en) *  20180402  20181130  西南交通大学  A kind of tractive transformer winding deformation fault detection method 
CN108917906B (en) *  20180402  20190802  西南交通大学  A kind of tractive transformer winding deformation fault detection method 
CN108896863A (en) *  20180523  20181127  国网辽宁省电力有限公司电力科学研究院  A kind of linearly dependent coefficient calculation method of frequency response winding deformation analysis 
CN108896863B (en) *  20180523  20210223  国网辽宁省电力有限公司电力科学研究院  Linear correlation coefficient calculation method for frequency response winding deformation analysis 
CN111597957A (en) *  20200512  20200828  三峡大学  Transformer winding fault diagnosis method based on morphological image processing 
CN113064008A (en) *  20210325  20210702  广东电网有限责任公司广州供电局  Mediumvoltage fuse quality detection method, device, equipment and medium 
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Application publication date: 20170118 