CN105091732A - Method and system for detecting deformation of transformer winding - Google Patents

Method and system for detecting deformation of transformer winding Download PDF

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Publication number
CN105091732A
CN105091732A CN201510497589.5A CN201510497589A CN105091732A CN 105091732 A CN105091732 A CN 105091732A CN 201510497589 A CN201510497589 A CN 201510497589A CN 105091732 A CN105091732 A CN 105091732A
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China
Prior art keywords
frequency response
transformer winding
detected
unit
preset value
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CN201510497589.5A
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Inventor
朱永利
张宁
卢敏
阙凌燕
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State Grid Corp of China SGCC
State Grid Zhejiang Electric Power Co Ltd
North China Electric Power University
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State Grid Corp of China SGCC
State Grid Zhejiang Electric Power Co Ltd
North China Electric Power University
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Priority to CN201510497589.5A priority Critical patent/CN105091732A/en
Publication of CN105091732A publication Critical patent/CN105091732A/en
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Abstract

The invention provides a method and a system for detecting the deformation of a transformer winding. The method comprises: acquiring response end voltage and exciting end voltage of the transformer winding to be detected under different frequency; calculating a transfer function module value of the transformer winding to be detected according to the response end voltage and the exciting end voltage; drawing a frequency response curve in a coordinate system according to the transfer function module value under different frequency, and drawing a frequency response curve in the coordinate system when the transformer winding is normal; pre-processing the two frequency response curves by using an erosion method to obtain curve data satisfying a preset condition, and calculating relevant coefficients of the two frequency response curves; and judging the deformation condition of the transformer winding to be detected according to the magnitude of the relevant coefficients and relevant coefficient preset values. According to the method, the two frequency response curves drawn in the coordinate system are pre-processed by using the erosion method, so that burrs are removed, interference of noise such as electromagnetic signals and the like is avoided, the accuracy of diagnosis is improved, and the probability of misjudgment is reduced.

Description

A kind of detection method of deformation of transformer winding and system
Technical field
The application relates to technical field of electric power detection, particularly relates to a kind of detection method and system of deformation of transformer winding.
Background technology
Transformer is electrical equipment important in electric system, and in electric system, serve as the vital task that energy distribution, electric pressure are changed, its operational reliability is the important leverage of power system stability safe operation.Actual motion statistics shows, winding deformation is one of the most common fault of transformer, detect reliably, exactly deformation of transformer winding for reduction power transformer accident rate, ensure that transformer safety is run significant.
Frequency response method is that Present Domestic detects one of topmost method of deformation of transformer winding outward.For the transformer that is determined, its frequency response characteristic is unique, and when transformer, due to certain fault, winding deformation occurs, the frequency response characteristic of its winding equivalent network also can change thereupon.When applying frequency response method is tested, sinusoidal frequency sweep signal is applied in Transformer Winding side, gather the response signal of this swept-frequency signal at the opposite side of winding simultaneously, then obtained the frequency response curve of winding by process, differentiate the deformation of winding by the difference of winding frequency response curve before and after comparative analysis fault.
But, when reality is tested, due to the interference by noises such as on-the-spot electromagnetic signals, there is outstanding burr in the signal recorded, so directly cause diagnostic accuracy not high, thus possibility judged by accident may be occurred, limit actual in detection deformation of transformer winding of frequency response method and apply.
Summary of the invention
In view of this, this application provides a kind of detection method and system of deformation of transformer winding, not high to overcome frequency response method of the prior art diagnostic accuracy in detection deformation of transformer winding, the problem judged by accident may be caused.
To achieve these goals, this application provides following technical scheme:
A detection method for deformation of transformer winding, comprising:
Gather Transformer Winding to be detected responder voltage at different frequencies and excitation terminal voltage;
The modulus value of the transport function of described Transformer Winding to be detected is calculated according to described responder voltage and excitation terminal voltage;
Modulus value according to the transport function under described different frequency draws frequency response curve in a coordinate system, and frequency response curve when Transformer Winding is normal is plotted in described coordinate system;
Utilize erosion algorithm to carry out pre-service to the frequency response curve of two in described coordinate system, the difference obtained between described two frequency response curves is greater than the curve data of difference preset value part;
Described curve data is utilized to calculate the related coefficient of described two frequency response curves;
The deformation of described Transformer Winding to be detected is judged according to the size of described related coefficient and related coefficient preset value.
Preferably, described collection Transformer Winding to be detected responder voltage at different frequencies and excitation terminal voltage comprise:
Sinusoidal frequency sweep signal is applied in one end of described Transformer Winding to be detected;
Frequency response method is utilized to gather described Transformer Winding to be detected responder voltage at different frequencies and excitation terminal voltage.
Preferably, describedly utilize erosion algorithm to carry out pre-service to the frequency response curve of two in described coordinate system, the curve data that the difference obtained between described two frequency response curves is greater than difference preset value part comprises:
Described two frequency response curves are built in described coordinate system a discrete bianry image;
The part utilizing erosion algorithm the public part in described bianry image and difference to be less than the first difference preset value is removed, and obtains the bianry image after processing;
Carry out area threshold process to the bianry image after described process, part difference in the bianry image after described process being less than the second difference preset value is removed, and the difference obtained between described two frequency response curves is greater than the curve data of difference preset value part.
Preferably, the described related coefficient utilizing described curve data to calculate described two frequency response curves comprises:
Setting described curve data is two amplitudes sequence X (i), the Y (i) that length is respectively N, and calculates standard variance and the covariance of described two amplitude sequences, wherein, i=0, l ... N-1, and X (i), Y (i) they are real number;
Utilize described standard variance and described covariance that the covariance of described two amplitude sequences is done normalized, obtain the covariance after normalization;
The related coefficient of described two frequency response curves is determined according to the covariance after described normalization.
Preferably, the described magnitude relationship according to described related coefficient and related coefficient preset value judges that the deformation of described Transformer Winding to be detected comprises:
When described related coefficient is less than the first preset value, then judge that described Transformer Winding to be detected is as gross distortion;
When described related coefficient is more than or equal to the first preset value, and when being less than the second preset value, then judge that described Transformer Winding to be detected is as obviously distortion;
When described related coefficient is more than or equal to the second preset value, then judge described Transformer Winding to be detected as slight distortion or winding normal.
Preferably, when judge described Transformer Winding to be detected as slight distortion or winding normal after, also comprise:
Utilize described curve data to calculate the morphological distance of described two frequency response curves, according to described morphological distance judge described Transformer Winding to be detected for be slightly out of shape or winding normal.
Preferably, describedly utilize described curve data to calculate the morphological distance of described two frequency response curves, judge that described Transformer Winding to be detected is for be slightly out of shape or winding normally comprises according to described morphological distance:
Described curve data is divided into n section, and to preset the curve data of kth section be two length is the amplitude sequence H of L 1k(i), H 2k(i), wherein, i=0, l ..., L-1, and H 1k(i), H 2ki () is real number;
The slope q of every adjacent 2 lines on two curves calculating described kth section 1k(i), q 2k(i), wherein, i=0, l ..., L-2;
The size distinguishing threshold value according to described slope and pattern is carried out division to the pattern of described curve data and is obtained mode value;
Morphological distance between two frequency response curves under utilizing described mode value to calculate described kth section curve data same frequency;
Calculate the morphological distance of all the other k-1 section frequency response curves, and calculate the mean value of k section frequency response curve morphological distance;
When the mean value of described tracing pattern distance is less than distance threshold, then judge that described Transformer Winding to be detected is normal, otherwise, judge that described Transformer Winding to be detected is slightly out of shape.
A detection system for deformation of transformer winding, comprising:
Collecting unit, for gathering Transformer Winding to be detected responder voltage at different frequencies and excitation terminal voltage;
First computing unit, for calculating the modulus value of the transport function of described Transformer Winding to be detected according to described responder voltage and excitation terminal voltage;
Drawing unit, for drawing frequency response curve in a coordinate system according to the modulus value of the transport function under described different frequency, and frequency response curve when Transformer Winding is normal is plotted in described coordinate system;
Pretreatment unit, for utilizing erosion algorithm to carry out pre-service to the frequency response curve of two in described coordinate system, the difference obtained between described two frequency response curves is greater than the curve data of difference preset value part;
Second computing unit, for the related coefficient utilizing described curve data to calculate described two frequency response curves;
Judging unit, for judging the deformation of described Transformer Winding to be detected according to the size of described related coefficient and related coefficient preset value.
Preferably, described collecting unit comprises:
Applying unit, for applying sinusoidal frequency sweep signal in one end of described Transformer Winding to be detected;
Gathering subelement, gathering described Transformer Winding to be detected responder voltage at different frequencies and excitation terminal voltage for utilizing frequency response method.
Preferably, described pretreatment unit comprises:
Construction unit, for building a discrete bianry image in described coordinate system by described two frequency response curves;
Removal unit, removes for the part utilizing erosion algorithm the public part in described bianry image and difference to be less than the first difference preset value, obtains the bianry image after processing;
Processing unit, for carrying out area threshold process to the bianry image after described process, part difference in bianry image after described process being less than the second difference preset value is removed, and the difference obtained between described two frequency response curves is greater than the curve data of difference preset value part.
Preferably, described second computing unit comprises:
Setup unit is two amplitudes sequence X (i), the Y (i) that length is respectively N for setting described curve data, wherein, and i=0, l ..., N-1, and X (i), Y (i) they are real number;
First computation subunit, for calculating standard variance and the covariance of described two amplitude sequences;
Normalization unit, for utilizing described standard variance and described covariance that the covariance of described two amplitude sequences is done normalized, obtains the covariance after normalization;
Determining unit, for determining the related coefficient of described two frequency response curves according to the covariance after described normalization.
Preferably, described judging unit comprises the first judgment sub-unit;
Described first judgment sub-unit is used for when described related coefficient is less than the first preset value, then judge that described Transformer Winding to be detected is as gross distortion; When described related coefficient is more than or equal to the first preset value, and when being less than the second preset value, then judge that described Transformer Winding to be detected is as obviously distortion; When described related coefficient is more than or equal to the second preset value, then judge described Transformer Winding to be detected as slight distortion or winding normal.
Preferably, described judging unit also comprises the second judgment sub-unit;
Described second judgment sub-unit be used for when described first judgment sub-unit judges described Transformer Winding to be detected for be slightly out of shape or winding normally after, utilize described curve data to calculate the morphological distance of described two frequency response curves, according to described morphological distance judge described Transformer Winding to be detected for be slightly out of shape or winding normal.
Preferably, described second judgment sub-unit comprises:
Cutting unit, for described curve data is divided into n section, to preset the curve data of kth section be two length is the amplitude sequence H of L 1k(i), H 2k(i), wherein, i=0, l ..., L-1, and H 1k(i), H 2ki () is real number;
Second computation subunit, the slope q of every adjacent 2 lines on two curves calculating described kth section 1k(i), q 2k(i), wherein, i=0, l ..., L-2;
Division unit, the size for distinguishing threshold value according to described slope and pattern is carried out division to the pattern of described curve data and is obtained mode value;
3rd computation subunit, the morphological distance between two frequency response curves calculating under described kth section curve data same frequency for utilizing described mode value;
4th computation subunit, for calculating the mean value of k section frequency response curve morphological distance;
Judgment sub-unit, is less than distance threshold for the mean value when described tracing pattern distance, then judge that described Transformer Winding to be detected is normal, otherwise, judge that described Transformer Winding to be detected is slightly out of shape.
From above technical scheme, this application provides a kind of detection method and system of deformation of transformer winding, the method comprises: gather Transformer Winding to be detected responder voltage at different frequencies and excitation terminal voltage; The modulus value of the transport function of described Transformer Winding to be detected is calculated according to described responder voltage and excitation terminal voltage; Modulus value according to the transport function under described different frequency draws frequency response curve in a coordinate system, and frequency response curve when Transformer Winding is normal is plotted in described coordinate system; Utilize erosion algorithm to carry out pre-service to the frequency response curve of two in described coordinate system, the difference obtained between described two frequency response curves is greater than the curve data of difference preset value part; Described curve data is utilized to calculate the related coefficient of described two frequency response curves; The deformation of described Transformer Winding to be detected is judged according to the size of described related coefficient and related coefficient preset value.The method detects by utilizing erosion algorithm to carry out pre-service to two of the drafting in coordinate system frequency response curves, eliminates burr phenomena, avoids the interference of the noises such as electromagnetic signal, improve the degree of accuracy of diagnosis, reduce the possibility of erroneous judgement.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only embodiments of the invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to the accompanying drawing provided.
The process flow diagram of the detection method of a kind of deformation of transformer winding that Fig. 1 provides for the embodiment of the present application one;
A kind of process flow diagram frequency response curve in coordinate system being carried out to pretreated method that Fig. 2 provides for the embodiment of the present application two;
A kind of schematic diagram carrying out frequency response curve before and after area threshold process that Fig. 3 provides for the embodiment of the present application two;
The process flow diagram of a kind of calculating two frequency response curve related coefficients that Fig. 4 provides for the embodiment of the present application two;
What Fig. 5 provided for the embodiment of the present application two a kind ofly judges that winding is the process flow diagram of slight distortion or the normal method of winding;
The structural representation of the detection system of a kind of deformation of transformer winding that Fig. 6 provides for the embodiment of the present application three;
The structural representation of a kind of pretreatment unit that Fig. 7 provides for the embodiment of the present application four;
The structural representation of a kind of second computing unit that Fig. 8 provides for the embodiment of the present application four;
The structural representation of a kind of second judgment sub-unit that Fig. 9 provides for the embodiment of the present application four.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
Not high for overcoming frequency response method of the prior art diagnostic accuracy in detection deformation of transformer winding, may cause the problem judged by accident, this application provides a kind of detection method and system of deformation of transformer winding, concrete scheme is as described below:
Embodiment one
As shown in Figure 1, a kind of process flow diagram of detection method of deformation of transformer winding that provides for the embodiment of the present application one of Fig. 1.This detection method comprises:
S101: gather Transformer Winding to be detected responder voltage at different frequencies and excitation terminal voltage;
In this application, this gatherer process comprises: apply sinusoidal frequency sweep signal in one end of Transformer Winding to be detected; Frequency response method is utilized to gather Transformer Winding to be detected responder voltage at different frequencies and excitation terminal voltage.
Concrete, select Transformer Winding to be detected, apply sinusoidal frequency sweep signal U in its one end s, then measure and gather this Transformer Winding to be detected responder voltage U at different frequencies 2(f) and excitation terminal voltage u 1(f).
S102: the modulus value calculating the transport function of Transformer Winding to be detected according to responder voltage and excitation terminal voltage;
For the voltage signal gathering acquisition in above-mentioned steps, according to formula H (f)=20log [U 2(f)/U 1(f)] process, obtain the modulus value of the transport function of winding to be detected.In formula, H (f) is the modulus value of transport function when frequency is f, U 2(f), U 1f () is responder when frequency is f and the peak value encouraging terminal voltage.
S103: the modulus value according to the transport function under different frequency draws frequency response curve in a coordinate system, and frequency response curve when Transformer Winding is normal is drawn in a coordinate system;
For the H (f) calculated in above-mentioned steps, draw frequency response curve in a coordinate system, wherein horizontal ordinate is frequency f, and ordinate is the modulus value H (f) of corresponding transport function.In like manner, under frequency response curve time Transformer Winding is normal is plotted in same coordinate system.
S104: utilize erosion algorithm to carry out pre-service to the frequency response curve of two in coordinate system, the difference obtained between two frequency response curves is greater than the curve data of difference preset value part;
Two frequency response curves in the coordinate system obtained in above-mentioned steps are carried out erosion algorithm pre-service, removes burr, doing so avoids noise, improve accuracy of detection.
Obtain the curve data obtaining difference in curve after treatment and be greater than the part correspondence of difference preset value.
S105: utilize curve data to calculate the related coefficient of two frequency response curves;
According to the curve data differed greatly obtained, adopt correlation coefficient process to define the similarity of two curves, calculate the related coefficient of two frequency response curves.
S106: the deformation judging Transformer Winding to be detected according to the size of related coefficient and related coefficient preset value.
Judge winding deformation situation according to similarity, if judged result is gross distortion or is obviously out of shape, then directly report judged result.
From above technical scheme, the embodiment of the present application one provides this kind of deformation of transformer winding detection method, comprising: gather Transformer Winding to be detected responder voltage at different frequencies and excitation terminal voltage; The modulus value of the transport function of Transformer Winding to be detected is calculated according to responder voltage and excitation terminal voltage; Modulus value according to the transport function under different frequency draws frequency response curve in a coordinate system, and frequency response curve when Transformer Winding is normal is drawn in a coordinate system; Utilize erosion algorithm to carry out pre-service to the frequency response curve of two in coordinate system, the difference obtained between two frequency response curves is greater than the curve data of difference preset value part; Curve data is utilized to calculate the related coefficient of two frequency response curves; The deformation of Transformer Winding to be detected is judged according to the size of related coefficient and related coefficient preset value.The method detects by utilizing erosion algorithm to carry out pre-service to two of the drafting in coordinate system frequency response curves, eliminates burr phenomena, avoids the interference of the noises such as electromagnetic signal, improve the degree of accuracy of diagnosis, reduce the possibility of erroneous judgement.
Embodiment two
The application provides one deformation of transformer winding detection method more specifically on the basis of embodiment one, and the method comprises step as shown in Figure 1:
S101: gather Transformer Winding to be detected responder voltage at different frequencies and excitation terminal voltage;
In this application, this gatherer process comprises: apply sinusoidal frequency sweep signal in one end of Transformer Winding to be detected; Frequency response method is utilized to gather Transformer Winding to be detected responder voltage at different frequencies and excitation terminal voltage.
Concrete, select Transformer Winding to be detected, apply sinusoidal frequency sweep signal U in its one end s, then measure and gather this Transformer Winding to be detected responder voltage U at different frequencies 2(f) and excitation terminal voltage U 1(f).
S102: the modulus value calculating the transport function of Transformer Winding to be detected according to responder voltage and excitation terminal voltage;
For the voltage signal gathering acquisition in above-mentioned steps, according to formula H (f)=20log [U 2(f)/U 1(f)] process, obtain the modulus value of the transport function of winding to be detected.In formula, H (f) is the modulus value of transport function when frequency is f, U 2(f), U 1f () is responder when frequency is f and the peak value encouraging terminal voltage.
S103: the modulus value according to the transport function under different frequency draws frequency response curve in a coordinate system, and frequency response curve when Transformer Winding is normal is drawn in a coordinate system;
For the H (f) calculated in above-mentioned steps, draw frequency response curve in a coordinate system, wherein horizontal ordinate is frequency f, and ordinate is the modulus value H (f) of corresponding transport function.In like manner, under frequency response curve time Transformer Winding is normal is plotted in same coordinate system.
S104: utilize erosion algorithm to carry out pre-service to the frequency response curve of two in coordinate system, the difference obtained between two frequency response curves is greater than the curve data of difference preset value part;
Two frequency response curves in the coordinate system obtained in above-mentioned steps are carried out erosion algorithm pre-service, removes burr, doing so avoids noise, improve accuracy of detection.
Obtain the curve data obtaining difference in curve after treatment and be greater than the part correspondence of difference preset value.
Concrete, as shown in Figure 2, a kind of process flow diagram frequency response curve in coordinate system being carried out to pretreated method that Fig. 2 provides for the embodiment of the present application two.This process comprises:
S201: two frequency response curves are built in a coordinate system a discrete bianry image;
Concrete, for the frequency response curve of two in coordinate system, the suitable matrix that one comprises all data of this frequency response curve is constructed according to its coordinate, the numerical value of element in the matrix corresponding with the point on frequency response curve is set to 1, matrix element in every broomrape between element 1 is also set to 1, all the other elements of these row are set to 0, obtain a discrete bianry image.
S202: the part utilizing erosion algorithm the public part in bianry image and difference to be less than the first difference preset value is removed, obtains the bianry image after processing;
Concrete, the bianry image obtained is selected suitable structural element, adopts the erosion algorithm in mathematical morphology by the public part in image and the less partial removal of difference, obtain the part differed greatly.Structural element consists predominantly of disc, square, rhombus, hexagon etc., does not specifically limit, can according to the type of actual conditions determination structural element.
Wherein, the basic thought of erosion algorithm is called structural element " probe " with one and removes detection image, sees whether this structural element well to be filled out being placed on image inside, and whether the method for putting structural element is filled out in simultaneous verification effective.Definition expression formula is , A is tablet pattern, and B is structural element, and meaning is that set A is corroded by set B, and the formula of erosion algorithm is wherein, A is pending image, and B is structural element, and b is the element in B.In the application, the first difference preset value is determined according to probe, utilizes probe to go detected image, and every place (namely difference is too little, and difference is less than the first difference preset value) of putting to enter probe all can be removed.
When the position residing for initial point is just positioned at structural element inside, what erosion operation embodied is to the obvious contraction of input picture.
Application erosion operation can carry out filtering process to image, the present invention utilizes erosion operation to shrink this feature of input picture just, the image-region can not putting into structural element in the figure formed by frequency response curve filters, thus obtains the segment that can characterize frequency response curve difference.
S203: carry out area threshold process to the bianry image after process, the part that difference in the bianry image after process is less than the second difference preset value removed, the difference obtained between two frequency response curves is greater than the curve data of difference preset value part.
As shown in Figure 3, a kind of frequency response curve schematic diagram carried out before and after area threshold process that Fig. 3 provides for the embodiment of the present application two, wherein, a) is schematic diagram before treatment, b) is the schematic diagram after process.For the bianry image after the process that step S202 obtains, the independent segment still having some areas less is difficult to effectively be removed by erosion algorithm.For eliminating the less segment of wherein area further, the bianry image after process carries out area threshold process, the part that difference in the bianry image after process is less than the second difference preset value is removed.Concrete, the image after erosion algorithm process is the segment of two-dimensional discrete, can calculate the size of each segment area.Set a threshold value, i.e. the second difference preset value (this value is area threshold), the segment being less than this value is directly left out from figure, thus filtering two frequency response curve differences are less but not by the part that erosion algorithm removes further, and then obtains the final curve data needed.
S105: utilize curve data to calculate the related coefficient of two frequency response curves;
According to the curve data differed greatly obtained, adopt correlation coefficient process to define the similarity of two curves, calculate the related coefficient of two frequency response curves.
Concrete, as shown in Figure 4, the process flow diagram of a kind of calculating two frequency response curve related coefficients that Fig. 4 provides for the embodiment of the present application two.This process comprises:
S301: setting curve data are two amplitude sequences that length is respectively N, and calculate standard variance and the covariance of two amplitude sequences;
Assuming that curve data is two length is amplitude sequence X (i), the Y (i) of N, wherein, i=0, l ..., N-1, and X (i), Y (i) they are real number.Wherein, amplitude sequence X (i), Y (i) are specially the set of each corresponding ordinate on two frequency response curves in curve data.
Calculate the standard variance of two sequences, σ y = 1 N Σ i = 1 N [ y i - 1 N Σ i = 1 N y i ] 2 .
Calculate the covariance of two sequences, C x y = 1 N Σ i = 1 N [ x i - 1 N Σ i = 1 N x i ] × [ y i - 1 N Σ i = 1 N y i ] , Wherein, x ian element in fingerbreadth value sequence X (i), y ian element in fingerbreadth value sequence Y (i).
S302: utilize standard variance and covariance that the covariance of two amplitude sequences is done normalized, obtain the covariance after normalization;
For two amplitude sequences, utilize standard variance and covariance, the covariance of two sequences is done normalized, wherein, LR x y = C x y / σ x σ y .
S303: the related coefficient determining two frequency response curves according to the covariance after normalization.
For the covariance LR after normalization xyif, 1-LR xy<10 -10, then coefficient R xybe 10; If then coefficient R xy=-lg (1-LR xy).The definition that concrete reference " frequency response analysis of winding deformation of power transformer " GB DL/T911-2004 are carried out.
S106: the deformation judging Transformer Winding to be detected according to the size of related coefficient and related coefficient preset value.
Judge winding deformation situation according to similarity, if judged result is gross distortion or is obviously out of shape, then directly report judged result.
Wherein, when related coefficient is less than the first preset value, then judge that Transformer Winding to be detected is as gross distortion, that is, work as coefficient R xy<0.6, then judge that Transformer Winding to be detected is as gross distortion.
When related coefficient is more than or equal to the first preset value, and when being less than the second preset value, then judge that Transformer Winding to be detected is as obviously distortion, namely as 0.6≤R xy<1, then judge that Transformer Winding to be detected is as obviously distortion.
When related coefficient is more than or equal to the second preset value, then judge Transformer Winding to be detected as slight distortion or winding normal, i.e. R xy>=1, then winding may be slight distortion or normal.
Concrete, when judges Transformer Winding to be detected for be slightly out of shape or winding normally after, also comprise:
Utilize curve data to calculate the morphological distance of two frequency response curves, according to morphological distance judge Transformer Winding to be detected as slight distortion or winding normal.
As shown in Figure 5, what Fig. 5 provided for the embodiment of the present application two a kind ofly judges that winding is the process flow diagram of slight distortion or the normal method of winding.The method comprises:
S401: curve data is divided into n section, to preset the curve data of kth section be two length is the amplitude sequence of L;
For the curve data obtained, its frequency response curve after erosion algorithm is divided into n section, assuming that the curve data of kth section is two length is the amplitude sequence H of L 1k(i), H 2k(i), wherein, i=0, l ..., L-1, and H 1k(i), H 2ki () is real number.
S402: the slope of every adjacent 2 lines on two curves calculating kth section;
For kth section frequency response curve, calculate the slope q of often adjacent 2 lines on two curves 1k(i), q 2k(i), wherein, i=0, l ..., L-2.
S403: the size distinguishing threshold value according to slope and pattern is carried out division to the pattern of curve data and obtained mode value;
For the slope q obtained 1k(i), q 2k(i), i=0, l ..., L-2, defining mode is distinguished threshold value th and is divided respectively to obtain M value to two curve data patterns, embodies the principle of " pattern differentials is large, then data distance is large ".Wherein, the size of th is determined according to actual conditions.Set of modes is { decline fast, keep declining, decline gently, level, rises gently, keeps rising, rises fast }, above-mentioned pattern correspondence is expressed as M={-3 ,-2 ,-1,0,1,2,3}.Concrete defining method is as shown in table 1, wherein &Delta; k = q k ( i + 1 ) - q k ( i ) .
The list of table 1 shape mode
S404: Land use models value calculates the morphological distance between two frequency response curves under kth section curve data same frequency;
According to formula D k = 1 L - 1 &Sigma; i = 1 L - 1 ( f i + 1 - f i ) &times; | H 1 k ( i ) - H 2 k ( i ) | &times; | M 1 k ( i ) - M 2 k ( i ) | , Calculate the morphological distance between two curves.
S405: the morphological distance calculating all the other k-1 section frequency response curves, and the mean value calculating k section frequency response curve morphological distance;
Calculate the morphological distance of all the other k-1 section frequency response curves according to step S401 to step S401, and calculate the mean value of k section frequency response curve morphological distance
S406: when the mean value of tracing pattern distance is less than distance threshold, then judge that Transformer Winding to be detected is normal, otherwise, judge that Transformer Winding to be detected is slightly out of shape.
Concrete, if then judge that winding is normal; then judge that winding is slightly out of shape.Wherein, λ is determined by factors such as test sample frequencies, does not limit in this application.
From above technical scheme, the embodiment of the present application two provides this kind of deformation of transformer winding detection method, not by means of only utilizing erosion algorithm to carry out pre-service to two of the drafting in coordinate system frequency response curves, eliminate burr phenomena, avoid the interference of the noises such as electromagnetic signal, improve the degree of accuracy of diagnosis, reduce the possibility of erroneous judgement, and further refinement accurately judges normally to Transformer Winding slight deformation and winding, further increases accuracy of detection.
Embodiment three
On the basis of embodiment one, the embodiment of the present application three provides a kind of detection system of deformation of transformer winding, as shown in Figure 6, and the structural representation of the detection system of a kind of deformation of transformer winding that Fig. 6 provides for the embodiment of the present application three.This detection system comprises: collecting unit 501, first computing unit 502, drawing unit 503, pretreatment unit 504, second computing unit 505 and judging unit 506, wherein,
Collecting unit 501, for gathering Transformer Winding to be detected responder voltage at different frequencies and excitation terminal voltage;
First computing unit 502, for calculating the modulus value of the transport function of Transformer Winding to be detected according to responder voltage and excitation terminal voltage;
Drawing unit 503, for drawing frequency response curve in a coordinate system according to the modulus value of the transport function under different frequency, and frequency response curve when Transformer Winding is normal is drawn in a coordinate system;
Pretreatment unit 504, for utilizing erosion algorithm to carry out pre-service to the frequency response curve of two in coordinate system, the difference obtained between two frequency response curves is greater than the curve data of difference preset value part;
Second computing unit 505, for the related coefficient utilizing curve data to calculate two frequency response curves;
Judging unit 506, for judging the deformation of Transformer Winding to be detected according to the size of related coefficient and related coefficient preset value.
Concrete repeats no more in the present embodiment, in detail can see the description of embodiment one.
From above technical scheme, the detection system of this deformation of transformer winding that the embodiment of the present application three provides, erosion algorithm is utilized to carry out pre-service to two of the drafting in coordinate system frequency response curves by pretreatment unit, eliminate burr phenomena, avoid the interference of the noises such as electromagnetic signal, improve the degree of accuracy of diagnosis, reduce the possibility of erroneous judgement.
Embodiment four
On the basis of embodiment two, the embodiment of the present application four provides a kind of detection system of deformation of transformer winding more specifically relative to embodiment three.This detection system comprises structure as shown in Figure 6, comprising: collecting unit 501, first computing unit 502, drawing unit 503, pretreatment unit 504, second computing unit 505 and judging unit 506, wherein,
Collecting unit 501, for gathering Transformer Winding to be detected responder voltage at different frequencies and excitation terminal voltage;
Concrete, collecting unit comprises:
Applying unit, for applying sinusoidal frequency sweep signal in one end of Transformer Winding to be detected;
Gathering subelement, gathering Transformer Winding to be detected responder voltage at different frequencies and excitation terminal voltage for utilizing frequency response method.
First computing unit 502, for calculating the modulus value of the transport function of Transformer Winding to be detected according to responder voltage and excitation terminal voltage;
Drawing unit 503, for drawing frequency response curve in a coordinate system according to the modulus value of the transport function under different frequency, and frequency response curve when Transformer Winding is normal is drawn in a coordinate system;
Pretreatment unit 504, for utilizing erosion algorithm to carry out pre-service to the frequency response curve of two in coordinate system, the difference obtained between two frequency response curves is greater than the curve data of difference preset value part;
As shown in Figure 7, a kind of structural representation of pretreatment unit that provides for the embodiment of the present application four of Fig. 7.Pretreatment unit comprises: construction unit 601, removal unit 602 and processing unit 603, wherein,
Construction unit 601, for building a discrete bianry image in a coordinate system by two frequency response curves;
Removal unit 602, removes for the part utilizing erosion algorithm the public part in bianry image and difference to be less than the first difference preset value, obtains the bianry image after processing;
Processing unit 603, for carrying out area threshold process to the bianry image after process, the part that difference in bianry image after process is less than the second difference preset value removed, the difference obtained between two frequency response curves is greater than the curve data of difference preset value part.
Second computing unit 505, for the related coefficient utilizing curve data to calculate two frequency response curves;
As shown in Figure 8, a kind of structural representation of the second computing unit that provides for the embodiment of the present application four of Fig. 8.Second computing unit comprises: setup unit 701, first computation subunit 702, normalization unit 703 and determining unit 704, wherein,
Setup unit 701 is two amplitudes sequence X (i), the Y (i) that length is respectively N for setting curve data, wherein, and i=0, l ..., N-1, and X (i), Y (i) they are real number;
First computation subunit 702, for calculating standard variance and the covariance of two amplitude sequences;
Normalization unit 703, for utilizing standard variance and covariance that the covariance of two amplitude sequences is done normalized, obtains the covariance after normalization;
Determining unit 704, for determining the related coefficient of two frequency response curves according to the covariance after normalization.
Judging unit 506, for judging the deformation of Transformer Winding to be detected according to the size of related coefficient and related coefficient preset value.
Judging unit comprises the first judgment sub-unit;
First judgment sub-unit is used for when related coefficient is less than the first preset value, then judge that Transformer Winding to be detected is as gross distortion; When related coefficient is more than or equal to the first preset value, and when being less than the second preset value, then judge that Transformer Winding to be detected is as obviously distortion; When related coefficient is more than or equal to the second preset value, then judge Transformer Winding to be detected as slight distortion or winding normal.
Judging unit also comprises the second judgment sub-unit;
Second judgment sub-unit be used for when the first judgment sub-unit judge Transformer Winding to be detected for be slightly out of shape or winding normally after, utilize curve data to calculate the morphological distance of two frequency response curves, according to morphological distance judge Transformer Winding to be detected as slight distortion or winding normal.
Concrete, as shown in Figure 9, the structural representation of a kind of second judgment sub-unit that Fig. 9 provides for the embodiment of the present application four.Second judgment sub-unit comprises: cutting unit 801, second computation subunit 802, division unit 803, the 3rd computation subunit 804, the 4th computation subunit 805 and judgment sub-unit 806, wherein,
Cutting unit 801, for curve data is divided into n section, to preset the curve data of kth section be two length is the amplitude sequence H of L 1k(i), H 2k(i), wherein, i=0, l ..., L-1, and H 1k(i), H 2ki () is real number;
Second computation subunit 802, the slope q of every adjacent 2 lines on two curves calculating kth section 1k(i), q 2k(i), wherein, i=0, l ..., L-2;
Division unit 803, the size for distinguishing threshold value according to slope and pattern is carried out division to the pattern of curve data and is obtained mode value;
3rd computation subunit 804, calculates the morphological distance between two frequency response curves under kth section curve data same frequency for Land use models value;
4th computation subunit 805, for calculating the mean value of k section frequency response curve morphological distance;
Judgment sub-unit 806, is less than distance threshold for the mean value when tracing pattern distance, then judge that Transformer Winding to be detected is normal, otherwise, judge that Transformer Winding to be detected is slightly out of shape.
Specifically repeat no more in the present embodiment, in detail can the associated description of REFERENCE TO RELATED embodiment two.
Finally, also it should be noted that, in this article, the such as relational terms of first and second grades and so on is only used for an entity or operation to separate with another entity or operational zone, and not necessarily requires or imply the relation that there is any this reality between these entities or operation or sequentially.And, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thus make to comprise the process of a series of key element, method, article or equipment and not only comprise those key elements, but also comprise other key elements clearly do not listed, or also comprise by the intrinsic key element of this process, method, article or equipment.When not more restrictions, the key element limited by statement " comprising ... ", and be not precluded within process, method, article or the equipment comprising described key element and also there is other identical element.
In this instructions, each embodiment adopts the mode of going forward one by one to describe, and what each embodiment stressed is the difference with other embodiments, between each embodiment identical similar portion mutually see.
To the above-mentioned explanation of the disclosed embodiments, professional and technical personnel in the field are realized or uses the application.To be apparent for those skilled in the art to the multiple amendment of these embodiments, General Principle as defined herein when not departing from the spirit or scope of the application, can realize in other embodiments.Therefore, the application can not be restricted to these embodiments shown in this article, but will meet the widest scope consistent with principle disclosed herein and features of novelty.

Claims (14)

1. a detection method for deformation of transformer winding, is characterized in that, comprising:
Gather Transformer Winding to be detected responder voltage at different frequencies and excitation terminal voltage;
The modulus value of the transport function of described Transformer Winding to be detected is calculated according to described responder voltage and excitation terminal voltage;
Modulus value according to the transport function under described different frequency draws frequency response curve in a coordinate system, and frequency response curve when Transformer Winding is normal is plotted in described coordinate system;
Utilize erosion algorithm to carry out pre-service to the frequency response curve of two in described coordinate system, the difference obtained between described two frequency response curves is greater than the curve data of difference preset value part;
Described curve data is utilized to calculate the related coefficient of described two frequency response curves;
The deformation of described Transformer Winding to be detected is judged according to the size of described related coefficient and related coefficient preset value.
2. detection method according to claim 1, is characterized in that, described collection Transformer Winding to be detected responder voltage at different frequencies and excitation terminal voltage comprise:
Sinusoidal frequency sweep signal is applied in one end of described Transformer Winding to be detected;
Frequency response method is utilized to gather described Transformer Winding to be detected responder voltage at different frequencies and excitation terminal voltage.
3. detection method according to claim 1, it is characterized in that, describedly utilize erosion algorithm to carry out pre-service to the frequency response curve of two in described coordinate system, the curve data that the difference obtained between described two frequency response curves is greater than difference preset value part comprises:
Described two frequency response curves are built in described coordinate system a discrete bianry image;
The part utilizing erosion algorithm the public part in described bianry image and difference to be less than the first difference preset value is removed, and obtains the bianry image after processing;
Area threshold process is carried out to the bianry image after described process, part difference in bianry image after described process being less than the second difference preset value is removed, and the difference obtained between described two frequency response curves is greater than the curve data of described difference preset value part.
4. detection method according to claim 1, is characterized in that, the described related coefficient utilizing described curve data to calculate described two frequency response curves comprises:
Setting described curve data is two amplitudes sequence X (i), the Y (i) that length is respectively N, and calculates standard variance and the covariance of described two amplitude sequences, wherein, i=0, l ... N-1, and X (i), Y (i) they are real number;
Utilize described standard variance and described covariance that the covariance of described two amplitude sequences is done normalized, obtain the covariance after normalization;
The related coefficient of described two frequency response curves is determined according to the covariance after described normalization.
5. detection method according to claim 1, is characterized in that, the described magnitude relationship according to described related coefficient and related coefficient preset value judges that the deformation of described Transformer Winding to be detected comprises:
When described related coefficient is less than the first preset value, then judge that described Transformer Winding to be detected is as gross distortion;
When described related coefficient is more than or equal to the first preset value, and when being less than the second preset value, then judge that described Transformer Winding to be detected is as obviously distortion;
When described related coefficient is more than or equal to the second preset value, then judge described Transformer Winding to be detected as slight distortion or winding normal.
6. detection method according to claim 5, is characterized in that, when judge described Transformer Winding to be detected as slight distortion or winding normal after, also comprise:
Utilize described curve data to calculate the morphological distance of described two frequency response curves, according to described morphological distance judge described Transformer Winding to be detected for be slightly out of shape or winding normal.
7. detection method according to claim 6, is characterized in that, describedly utilizes described curve data to calculate the morphological distance of described two frequency response curves, judges that described Transformer Winding to be detected is for be slightly out of shape or winding normally comprises according to described morphological distance:
Described curve data is divided into n section, and to preset the curve data of kth section be two length is the amplitude sequence H of L 1k(i), H 2k(i), wherein, i=0, l ..., L-1, and H 1k(i), H 2ki () is real number;
The slope q of every adjacent 2 lines on two curves calculating described kth section 1k(i), q 2k(i), wherein, i=0, l ..., L-2;
The size distinguishing threshold value according to described slope and pattern is carried out division to the pattern of described curve data and is obtained mode value;
Morphological distance between two frequency response curves under utilizing described mode value to calculate described kth section curve data same frequency;
Calculate the morphological distance of all the other k-1 section frequency response curves, and calculate the mean value of k section frequency response curve morphological distance;
When the mean value of described tracing pattern distance is less than distance threshold, then judge that described Transformer Winding to be detected is normal, otherwise, judge that described Transformer Winding to be detected is slightly out of shape.
8. a detection system for deformation of transformer winding, is characterized in that, comprising:
Collecting unit, for gathering Transformer Winding to be detected responder voltage at different frequencies and excitation terminal voltage;
First computing unit, for calculating the modulus value of the transport function of described Transformer Winding to be detected according to described responder voltage and excitation terminal voltage;
Drawing unit, for drawing frequency response curve in a coordinate system according to the modulus value of the transport function under described different frequency, and frequency response curve when Transformer Winding is normal is plotted in described coordinate system;
Pretreatment unit, for utilizing erosion algorithm to carry out pre-service to the frequency response curve of two in described coordinate system, the difference obtained between described two frequency response curves is greater than the curve data of difference preset value part;
Second computing unit, for the related coefficient utilizing described curve data to calculate described two frequency response curves;
Judging unit, for judging the deformation of described Transformer Winding to be detected according to the size of described related coefficient and related coefficient preset value.
9. detection system according to claim 8, is characterized in that, described collecting unit comprises:
Applying unit, for applying sinusoidal frequency sweep signal in one end of described Transformer Winding to be detected;
Gathering subelement, gathering described Transformer Winding to be detected responder voltage at different frequencies and excitation terminal voltage for utilizing frequency response method.
10. detection system according to claim 8, is characterized in that, described pretreatment unit comprises:
Construction unit, for building a discrete bianry image in described coordinate system by described two frequency response curves;
Removal unit, removes for the part utilizing erosion algorithm the public part in described bianry image and difference to be less than the first difference preset value, obtains the bianry image after processing;
Processing unit, for carrying out area threshold process to the bianry image after described process, part difference in bianry image after described process being less than the second difference preset value is removed, and the difference obtained between described two frequency response curves is greater than the curve data of difference preset value part.
11. detection systems according to claim 8, is characterized in that, described second computing unit comprises:
Setup unit is two amplitudes sequence X (i), the Y (i) that length is respectively N for setting described curve data, wherein, and i=0, l ..., N-1, and X (i), Y (i) they are real number;
First computation subunit, for calculating standard variance and the covariance of described two amplitude sequences;
Normalization unit, for utilizing described standard variance and described covariance that the covariance of described two amplitude sequences is done normalized, obtains the covariance after normalization;
Determining unit, for determining the related coefficient of described two frequency response curves according to the covariance after described normalization.
12. detection systems according to claim 8, is characterized in that, described judging unit comprises the first judgment sub-unit;
Described first judgment sub-unit is used for when described related coefficient is less than the first preset value, then judge that described Transformer Winding to be detected is as gross distortion; When described related coefficient is more than or equal to the first preset value, and when being less than the second preset value, then judge that described Transformer Winding to be detected is as obviously distortion; When described related coefficient is more than or equal to the second preset value, then judge described Transformer Winding to be detected as slight distortion or winding normal.
13. detection systems according to claim 12, is characterized in that, described judging unit also comprises the second judgment sub-unit;
Described second judgment sub-unit be used for when described first judgment sub-unit judges described Transformer Winding to be detected for be slightly out of shape or winding normally after, utilize described curve data to calculate the morphological distance of described two frequency response curves, according to described morphological distance judge described Transformer Winding to be detected for be slightly out of shape or winding normal.
14. detection systems according to claim 13, is characterized in that, described second judgment sub-unit comprises:
Cutting unit, for described curve data is divided into n section, to preset the curve data of kth section be two length is the amplitude sequence H of L 1k(i), H 2k(i), wherein, i=0, l ..., L-1, and H 1k(i), H 2ki () is real number;
Second computation subunit, the slope q of every adjacent 2 lines on two curves calculating described kth section 1k(i), q 2k(i), wherein, i=0, l ..., L-2;
Division unit, the size for distinguishing threshold value according to described slope and pattern is carried out division to the pattern of described curve data and is obtained mode value;
3rd computation subunit, the morphological distance between two frequency response curves calculating under described kth section curve data same frequency for utilizing described mode value;
4th computation subunit, for calculating the mean value of k section frequency response curve morphological distance;
Judgment sub-unit, is less than distance threshold for the mean value when described tracing pattern distance, then judge that described Transformer Winding to be detected is normal, otherwise, judge that described Transformer Winding to be detected is slightly out of shape.
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CN105423908A (en) * 2015-12-22 2016-03-23 广东电网有限责任公司佛山供电局 Transformer winding deformation live test method and system
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