A transformer optimization operation control method and device based on vibration signal

Abstract

The present invention discloses a transformer optimization operation control method and device based on vibration signals, comprising: collecting vibration signals and operating currents of a converter transformer at multiple moments in different operating states during a shutdown process, and classifying them into a normal operating set, a load reduction set, and a no-load set according to the effective value of the current; performing cross-correlation calculation on a vibration control signal and a target analysis signal, and extracting a winding vibration signal at the point where the control vibration signal has the greatest similarity in the target analysis vibration signal; performing spectrum analysis on the vibration signal, and calculating the proportion of the vibration cumulative power in the frequency band with a difference between the converter transformer and the AC transformer; extracting the envelope of the winding vibration signal, and performing spectrum analysis, and calculating the waveform index and total harmonic distortion rate of the winding vibration signal; identifying an interval where the influence of harmonics on the winding vibration is aggravated, shortening the working time of the converter transformer shutdown process within the interval, effectively preventing winding failures, and further optimizing the operation control of the converter transformer.

Description

Technical Field

[0001] The present invention relates to the technical field of converter transformer operation optimization, and more particularly to a transformer optimization operation control method and device based on vibration signals. Background Art

[0002] Converter transformers play a key role in HVDC transmission systems, including AC / DC power conversion, voltage level adaptation, and system isolation protection. Their stable operation is closely related to the operation of DC transmission. However, due to the complexity of the working environment of converter transformers, they need to withstand harmonic currents, which will affect them.

[0003] According to the vibration mechanism of the converter transformer, the winding is greatly affected by the current. The high-voltage direct current transmission system will change the load according to the power supply requirements. The load change will affect the current, and the current change will affect the voltage. The converter transformer changes the trigger angle to maintain the voltage level. The change in the trigger angle will cause the current harmonic content generated by the converter to change, which will affect the winding vibration and thus affect the overall vibration of the converter transformer. Therefore, the vibration signal contains the state information of the converter transformer winding. By extracting the characteristic quantity of the vibration signal, the state of the winding can be accurately reflected. By analyzing the characteristics of the vibration signal during the load change, the current range where the harmonic impact on the winding vibration is aggravated can be identified, which is helpful for optimizing the operation control of the converter transformer.

[0004] However, there is currently a lack of methods to analyze the impact of harmonics on vibration based on converter transformer vibration signals during load changes.

[0005] Therefore, in the field of optimizing converter transformer operation, how to extract information about the influence of harmonics on vibration contained in the vibration signals of converter transformers in different operating states through feature quantities is an urgent problem that needs to be solved by those skilled in the art. Summary of the Invention

[0006] In view of this, the present invention provides a transformer optimization operation control method and device based on vibration signals to solve the technical problems mentioned in the background technology.

[0007] In order to achieve the above object, the present invention adopts the following technical solutions:

[0008] A transformer optimization operation control method based on vibration signals comprises the following steps:

[0009] S1. Collect vibration signals of the converter transformer at different operating states at multiple moments during shutdown and the corresponding operating current;

[0010] S2. Classify the collected vibration signals into a normal working set, a reduced load set, and a no-load set based on the change in the effective value of the current;

[0011] S3. The vibration signal at no load is used as a control signal, and the cross-correlation calculation is performed with the vibration signal of normal operation and load reduction operation as the target analysis signal, and the control vibration signal is extracted when the similarity is maximum in the target analysis vibration signal at different operating states of the winding vibration signal;

[0012] S4. Perform spectrum analysis on the vibration signals of the converter transformer in different operating states and calculate the cumulative vibration power ratio of the converter transformer and the AC transformer in the difference frequency band;

[0013] S5 extracts the envelope of the winding vibration signal in different operating states, and performs spectrum analysis on the winding vibration signal in different operating states to calculate the waveform index and total harmonic distortion rate of the winding vibration signal;

[0014] S6. Determine the interval where the harmonics have a more severe impact on the winding vibration based on the distribution law of all characteristic quantities, and optimize the operation of the converter transformer.

[0015] Preferably, the specific content of step S2 is:

[0016] Decompose the current signal collected during the shutdown process into n sine waves, extract the peak value of each sine wave current, and divide the peak value by Calculate the effective value of each sinusoidal current, calculate the square root of the sum of the effective values ​​of all sinusoidal currents, and obtain the effective value of the converter transformer current signal;

[0017] During the time period when the effective value of the current is a stable value, the collected vibration signal is classified as a normal working set; during the time period when the effective value of the current is a stable value to zero, the collected vibration signal is classified as a load reduction set; during the time period when the effective value of the current is zero, the collected vibration signal is classified as a no-load set.

[0018] Preferably, in step S3, the method for extracting the winding vibration signal is specifically as follows:

[0019] S31. Select a vibration sample in the no-load set as a control vibration signal, and select each vibration sample of the normal working and load reduction set as the target vibration signal for analysis;

[0020] S32 performs cross-correlation calculations to obtain the cross-correlation value between the control vibration signal and each target analysis vibration signal at the time lag k;

[0021] S33. Continuously changing the value of the time delay k, moving the control vibration signal around in the target analysis vibration signal, and finding the time delay value corresponding to the maximum cross-correlation value;

[0022] S34. When the control vibration signal moves to the point where the similarity with the target vibration signal is the greatest, the vibration data that overlaps between the two in time series is intercepted, and the difference between the two sets of vibration signals is calculated to extract the DC side vibration signal, which is the winding vibration signal.

[0023] Preferably, the specific content of step S4 is:

[0024] Perform Fourier transform on the vibration signal collected during the shutdown process and extract the amplitude of the frequency component of 100 Hz and its multiples in the spectrum diagram of the vibration signal;

[0025] The square sum of the amplitudes of the frequency components in the converter transformer box vibration signal spectrum that are different from the AC transformer frequency band is calculated, and the ratio of the square sum of the amplitudes of the frequency components in the corresponding vibration data at 100 Hz and its multiples is calculated to obtain the vibration power ratio of the converter transformer in the different frequency bands.

[0026] Preferably, in step S5, the calculation method of the winding vibration signal waveform index is:

[0027] Perform Hilbert transform on the winding vibration signal, construct the analytical signal and calculate the envelope of the winding vibration signal;

[0028] Calculate the sum of squares of discrete points in the envelope of the winding vibration signal, average it and then take the square root. Then calculate the ratio of the square root value to the mean of the discrete points in the envelope to obtain the waveform index of the winding vibration signal.

[0029] Preferably, in step S5, the total harmonic distortion rate of the winding vibration signal is calculated as follows:

[0030] Fourier transform is performed on each separated winding vibration signal, and the amplitude of the frequency component of 100 Hz and its multiples in the spectrum diagram is extracted. The ratio of the sum of the amplitudes of the 100 Hz multiple components in the vibration signal to the amplitude of the 100 Hz frequency component is calculated to obtain the total harmonic distortion rate of the winding vibration signal.

[0031] Preferably, in step S6, the specific content of optimizing the operation of the converter transformer is:

[0032] Combining the vibration power proportion of the converter transformer box vibration signal in the different frequency bands as well as the waveform indicators and total harmonic distortion rate of the separated winding vibration signal, the current range in which the harmonic impact on the winding vibration is aggravated is obtained. The control system is used to shorten the working time of the converter transformer shutdown process within the range and avoid the converter transformer operating in the range when it is not fully loaded, so as to optimize the operation control of the converter transformer.

[0033] A transformer optimization operation control system based on vibration signals, based on the above-mentioned transformer optimization operation control method based on vibration signals, includes: an acquisition unit, a current effective value calculation unit, a classification unit, a correlation calculation unit, a winding vibration signal separation unit, a spectrum analysis unit, a vibration cumulative power ratio calculation unit, a vibration waveform index calculation unit, a vibration harmonic total distortion rate calculation unit and a judgment unit;

[0034] The collection unit is used to collect vibration samples and operating currents at corresponding times at multiple times in different operating states of the converter transformer; wherein each vibration sample is a vibration signal collected by a vibration sensor installed on the outer surface of the converter transformer box, and each operating current is a current signal collected by a current sensor installed on the end screen of the bushing on the grid side of the converter transformer;

[0035] A current effective value calculation unit, used to calculate the collected current signal into an effective value;

[0036] A classification unit is used to classify the vibration signals corresponding to corresponding time points into a normal working set, a load reduction set and a no-load set according to the change of the effective value of the current;

[0037] a correlation calculation unit, configured to perform cross-correlation calculation on the control vibration signal and the target analysis vibration signal to obtain a delay when the control vibration signal has the greatest similarity to the target analysis vibration signal;

[0038] The winding vibration signal separation unit is used to move the reference vibration signal to the delayed position where the similarity in the target analysis vibration signal is the greatest, intercept the vibration data of the two, perform differential calculation on the data, and extract the winding vibration data;

[0039] A spectrum analysis unit is used to perform Fourier transform on each converter transformer box vibration signal and the separated winding vibration signal, and identify the amplitude of the frequency component of 100 Hz and its multiples in the spectrum diagram of the vibration signal;

[0040] A vibration cumulative power ratio calculation unit is used to extract the amplitude of the frequency component contained in the frequency band different from the AC transformer in the frequency spectrum of the converter transformer box vibration signal, and calculate the vibration cumulative power ratio of the difference frequency band;

[0041] a vibration waveform index calculation unit, for extracting the envelope of each separated winding vibration signal, calculating the ratio of the root mean square value of the winding vibration signal envelope to the mean value, and obtaining the winding vibration signal waveform index;

[0042] The vibration harmonic total distortion rate calculation unit is used to extract the amplitude of the 100 Hz multiple frequency component and the amplitude of the 100 Hz frequency component in the winding vibration signal, and obtain the vibration total harmonic distortion rate of the winding vibration signal based on the relationship between the fundamental frequency and the harmonics;

[0043] The judgment unit is used to determine the current range in which the influence of the harmonics of the converter transformer on the winding vibration is aggravated based on the characteristic quantity distribution obtained by analyzing the vibration signals of the converter transformer in different operating states and the separated winding vibration signals, so as to optimize the operation control of the converter transformer through the control system.

[0044] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements a transformer optimization operation control method based on vibration signals.

[0045] A processing terminal includes a memory and a processor. The memory stores a computer program that can be run on the processor. When the processor executes the computer program, the transformer optimization operation control method based on vibration signals is implemented.

[0046] It can be seen from the above technical solution that, compared with the prior art, the present invention discloses a transformer optimization operation control method and device based on vibration signals, which collects the vibration signals of the converter transformer box under different operating states, compares the vibration signals of different operating states according to the differences in the vibration sources of the converter transformer in different operating states, and extracts the winding vibration signals therefrom, that is: separates the winding and core vibrations, and extracts the signal containing only the winding vibration; secondly, extracts the proportion of the cumulative power of the vibration of 1200-1600Hz in the vibration signals of the converter transformer in different operating states, extracts the total harmonic distortion rate and waveform index of the separated winding vibration signal, identifies the interval where the influence of harmonics on the winding vibration is aggravated, shortens the working time of the converter transformer shutdown process in this interval through the control system, can effectively prevent winding failures, and thus optimizes the operation control of the converter transformer. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0048] Figure 1 A schematic diagram of a transformer optimization operation control method based on vibration signals provided by the present invention;

[0049] Figure 2A schematic diagram of a transformer optimization operation control system based on vibration signals provided by the present invention;

[0050] Figure 3 A schematic diagram of vibration signal classification provided by the present invention;

[0051] Figure 4 This is a schematic diagram of the vibration cumulative power ratio provided by the present invention;

[0052] Figure 5 A schematic diagram of the winding vibration signal waveform index provided by the present invention;

[0053] Figure 6 This is a schematic diagram of the total harmonic distortion rate of vibration provided by the present invention. DETAILED DESCRIPTION

[0054] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0055] The embodiment of the present invention discloses a transformer optimization operation control method based on vibration signals, such as Figure 1 , including the following steps:

[0056] S1. Collect vibration signals of the converter transformer at different operating states at multiple moments during shutdown and the corresponding operating current;

[0057] S2. Classify the collected vibration signals into a normal working set, a reduced load set, and a no-load set based on the change in the effective value of the current;

[0058] S3. The vibration signal at no load is used as a control signal, and the cross-correlation calculation is performed with the vibration signal of normal operation and load reduction operation as the target analysis signal, and the control vibration signal is extracted when the similarity is maximum in the target analysis vibration signal at different operating states of the winding vibration signal;

[0059] S4. Perform spectrum analysis on the vibration signals of the converter transformer in different operating states and calculate the cumulative vibration power ratio of the converter transformer and the AC transformer in the difference frequency band;

[0060] S5 extracts the envelope of the winding vibration signal in different operating states, and performs spectrum analysis on the winding vibration signal in different operating states to calculate the waveform index and total harmonic distortion rate of the winding vibration signal;

[0061] S6. Determine the interval where the harmonics have a more severe impact on the winding vibration based on the distribution law of all characteristic quantities, and optimize the operation of the converter transformer.

[0062] In this embodiment, in step S1, each vibration sample is a vibration signal acquired by a vibration sensor installed on the surface of the converter transformer box, and each operating current is a current signal acquired by a current sensor installed on the end screen of the bushing on the grid side of the converter transformer.

[0063] During shutdown, the HVDC system controls the load to continuously decrease, causing the DC side current to decrease. To stabilize the output voltage, the converter transformer needs to adjust the trigger angle. This change in trigger angle will cause the current harmonic content generated by the converter to change:

[0064]

[0065] Among them, U d0 is the ideal DC voltage, α is the trigger angle, X c is the commutation reactance, I d is the DC side current, U d is the output voltage.

[0066] In order to further implement the above technical solution, the specific content of step S2 is:

[0067] Decompose the current signal collected during the shutdown process into n sine waves, extract the peak value of each sine wave current, and divide the peak value by Calculate the effective value of each sinusoidal current, calculate the square root of the sum of the effective values ​​of all sinusoidal currents, and obtain the effective value of the converter transformer current signal;

[0068]

[0069]

[0070] Among them, I p is the peak value of each sine wave current, I n is the effective value of each sinusoidal current, I RMS is the effective value of the converter transformer current including harmonics;

[0071] During the time period when the effective value of the current is a stable value, the collected vibration signal is classified as a normal working set; during the time period when the effective value of the current is a stable value to zero, the collected vibration signal is classified as a load reduction set; during the time period when the effective value of the current is zero, the collected vibration signal is classified as a no-load set.

[0072] In order to further implement the above technical solution, the method for extracting the winding vibration signal in step S3 is specifically as follows:

[0073] S31. Select a vibration sample in the no-load set as a control vibration signal, and select each vibration sample of the normal working and load reduction set as the target vibration signal for analysis;

[0074] S32 performs cross-correlation calculations to obtain the cross-correlation value between the control vibration signal and each target analysis vibration signal at the time lag k;

[0075] S33. Continuously changing the value of the time delay k, moving the control vibration signal around in the target analysis vibration signal, and finding the time delay value corresponding to the maximum cross-correlation value;

[0076] S34. When the control vibration signal moves to the point where the similarity with the target vibration signal is the greatest, the vibration data that overlaps between the two in time series is intercepted, and the difference between the two sets of vibration signals is calculated to extract the DC side vibration signal, which is the winding vibration signal.

[0077] In this embodiment, in step S31, Fourier transform is performed on the vibration signals in the no-load set, and based on the consistent characteristics in the spectrum diagram, the vibration signal that best reflects the vibration characteristics of the converter transformer under no-load operation conditions is selected and set as the reference vibration signal;

[0078] Step S32, performing cross-correlation calculation on each target analysis vibration signal and the control vibration signal, specifically:

[0079]

[0080] Among them, R xy (k) is the cross-correlation value between the reference vibration signal y(n) and the target analysis vibration signal x(n) at time lag k, x(n) and y(n) are the values ​​of the two signals at time n, and time lag k represents the delay or lead time of signal y(n) relative to signal x(n);

[0081] Step S33, the maximum cross-correlation value is:

[0082]

[0083] in, is the value of time lag k, k i When it is positive, it means that the signal y(n) is ahead of the signal x(n); k i When it is negative, it indicates the delay of signal y(n) relative to signal x(n);

[0084] Step S34: The extracted winding vibration signal is specifically:

[0085] when hour, , or, when hour, , , where V(t) is the winding vibration signal and T is the sampling time.

[0086] In order to further implement the above technical solution, the specific content of step S4 is:

[0087] Perform Fourier transform on the vibration signal collected during the shutdown process and extract the amplitude of the frequency component of 100 Hz and its multiples in the spectrum diagram of the vibration signal;

[0088]

[0089]

[0090] Calculate the square sum P of the frequency components in the converter transformer box vibration signal spectrum that are different from the AC transformer frequency band. VCE1 , and calculate P VCE1 The sum of the squares of the frequency components of the corresponding vibration data at 100 Hz and its multiples P VCE The ratio of the vibration power of the converter transformer in the difference frequency band is obtained.

[0091] The differential frequency band is 1200Hz~1600Hz, and the vibration power ratio P of the converter transformer in the differential frequency band is:

[0092]

[0093]

[0094]

[0095] Where c is 4000 Hz.

[0096] In order to further implement the above technical solution, in step S5, the calculation method of the winding vibration signal waveform index is:

[0097] Perform Hilbert transform on the winding vibration signal, construct the analytical signal and calculate the envelope of the winding vibration signal x a (t);

[0098]

[0099] Where x(t) is the data value at time t, and x(t') is the data value at the adjacent time.

[0100] Calculate the sum of squares of discrete points in the envelope of the winding vibration signal, average it, and then square it. Then calculate the ratio of the square root value to the mean of the discrete points in the envelope to obtain the winding vibration signal waveform index W.

[0101]

[0102] Where N is the data length.

[0103] In order to further implement the above technical solution, in step S5, the total harmonic distortion rate of the winding vibration signal is calculated as follows:

[0104] Perform Fourier transform on each separated winding vibration signal, extract the frequency component amplitude of 100 Hz and its multiples in the spectrum, calculate the ratio of the sum of the amplitudes of the 100 Hz multiples components in the vibration signal to the amplitude of the 100 Hz frequency component, and obtain the total harmonic distortion rate f of the winding vibration signal. THDV ;

[0105] .

[0106] In order to further implement the above technical solution, the specific content of step S6, optimizing the operation of the converter transformer, is as follows:

[0107] Combining the vibration power proportion of the converter transformer box vibration signal in the different frequency bands as well as the waveform indicators and total harmonic distortion rate of the separated winding vibration signal, the current range in which the harmonic impact on the winding vibration is aggravated is obtained. The control system is used to shorten the working time of the converter transformer shutdown process within the range and avoid the converter transformer operating in the range when it is not fully loaded, so as to optimize the operation control of the converter transformer.

[0108] A transformer optimization operation control system based on vibration signals, based on a transformer optimization operation control method based on vibration signals, such as Figure 2 , including: an acquisition unit 201, a current effective value calculation unit 202, a classification unit 203, a correlation calculation unit 204, a winding vibration signal separation unit 205, a spectrum analysis unit 206, a vibration cumulative power ratio calculation unit 207, a vibration waveform index calculation unit 208, a vibration harmonic total distortion rate calculation unit 209 and a judgment unit 210;

[0109] The collection unit 201 is configured to collect vibration samples and operating current at corresponding times at multiple times in different operating states of the converter transformer; each vibration sample is a vibration signal acquired by a vibration sensor disposed on the outer surface of the converter transformer housing, and each operating current is a current signal acquired by a current sensor disposed on the end screen of the bushing on the grid side of the converter transformer;

[0110] The current effective value calculation unit 202 is used to calculate the collected current signal into an effective value;

[0111] The classification unit 203 is configured to classify the vibration signals corresponding to corresponding time points into a normal operation set, a load reduction set, and an no-load set according to the change of the effective value of the current.

[0112] a correlation calculation unit 204 for performing cross-correlation calculation on the reference vibration signal and the target analysis vibration signal to obtain a delay at which the reference vibration signal has the greatest similarity to the target analysis vibration signal;

[0113] The winding vibration signal separation unit 205 is used to move the reference vibration signal to the delayed position where the similarity in the target analysis vibration signal is the greatest, intercept the vibration data of the two, perform a differential operation on the data, and extract the winding vibration data;

[0114] The spectrum analysis unit 206 is configured to perform Fourier transform on each converter transformer box vibration signal and the separated winding vibration signal, and identify the amplitude of the frequency component of 100 Hz and its multiples in the spectrum diagram of the vibration signal;

[0115] The vibration cumulative power ratio calculation unit 207 is used to extract the amplitude of the frequency component contained in the frequency band different from the AC transformer in the converter transformer box vibration signal spectrum diagram, and calculate the vibration cumulative power ratio of the difference frequency band;

[0116] a vibration waveform index calculation unit 208 for extracting the envelope of each separated winding vibration signal, calculating the ratio of the RMS value of the winding vibration signal envelope to the mean value, and obtaining the winding vibration signal waveform index;

[0117] The vibration harmonic total distortion rate calculation unit 209 is used to extract the amplitude of the 100 Hz multiple frequency component and the amplitude of the 100 Hz frequency component in the winding vibration signal, and obtain the vibration total harmonic distortion rate of the winding vibration signal based on the relationship between the fundamental frequency and the harmonics;

[0118] The judgment unit 210 is used to determine the current range in which the influence of the harmonics of the converter transformer on the winding vibration is aggravated based on the characteristic quantity distribution obtained by analyzing the vibration signals of different operating states of the converter transformer and the separated winding vibration signals, so as to optimize the operation control of the converter transformer through the control system.

[0119] In another embodiment, the vibration sensor is adsorbed on the surface of the converter transformer box by a magnetic suction seat at a position avoiding the reinforcement rib. The sampling frequency of the sensor is 8192 Hz, the sampling time is 1 second, and the sampling interval is 120 seconds. The current sensor is installed at the end screen of the bushing on the grid side of the converter transformer. The sampling frequency is 51200 Hz, the sampling time is 0.04 s, and the sampling interval is 60 seconds. The vibration signal and current signal of the converter transformer during the shutdown process are collected; the vibration signal is classified into a normal working set, a load reduction set, and a no-load set, such as Figure 3 As shown; calculate the power ratio of the frequency band 1200Hz~1600Hz, as shown Figure 4 As shown; winding vibration signal waveform indicators, such as Figure 5 As shown; the total harmonic distortion rate of the winding vibration signal is as follows: Figure 6 As shown;

[0120] Combine Figure 4 、 Figure 5 、 Figure 6 It can be seen that according to the power proportion of 1200Hz~1600Hz vibration signal during the shutdown process of the converter transformer and the separated winding vibration signal waveform index and total harmonic distortion rate, the interval where the harmonic influence on the winding vibration is aggravated can be identified. Figure 3 It can be seen from the time nodes that the winding vibration changes most violently between the currents of 993A and 797.4A. By shortening the working time of the converter transformer shutdown process in this range through the control system, winding failures can be effectively prevented, thereby optimizing the operation control of the converter transformer.

[0121] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements a transformer optimization operation control method based on vibration signals.

[0122] A processing terminal includes a memory and a processor. The memory stores a computer program that can be run on the processor. When the processor executes the computer program, a transformer optimization operation control method based on vibration signals is implemented.

[0123] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. Reference can be made to the common and similar parts between the various embodiments. For the devices disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple, and the relevant parts can be referred to the method description.

[0124] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention is not limited to the embodiments shown herein but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A transformer optimization operation control method based on vibration signals, characterized in that: The following steps are involved: S1. Collect vibration signals of the converter transformer at different operating states at multiple moments during shutdown and the corresponding operating current; S2. Classify the collected vibration signals into a normal working set, a reduced load set, and a no-load set based on the change in the effective value of the current; S3. The vibration signal at no load is used as a control signal, and the cross-correlation calculation is performed with the vibration signal of normal operation and load reduction operation as the target analysis signal, and the control vibration signal is extracted when the similarity is maximum in the target analysis vibration signal at different operating states of the winding vibration signal; S4. Spectral analysis of the vibration signals of the converter transformers in different operating states is performed to calculate the cumulative vibration power ratio of the converter transformer and the AC transformer in the difference frequency bands; S5 extracts the envelope of the winding vibration signal in different operating states, and performs spectrum analysis on the winding vibration signal in different operating states to calculate the waveform index and total harmonic distortion rate of the winding vibration signal; S6. Determine the interval where harmonics have a more severe impact on winding vibration based on the distribution pattern of all characteristic quantities, and optimize the operation of the converter transformer; The specific content of step S4 is: Perform Fourier transform on the vibration signal collected during the shutdown process and extract the amplitude of the frequency component of 100 Hz and its multiples in the spectrum diagram of the vibration signal; The square sum of the amplitudes of the frequency components in the converter transformer box vibration signal spectrum that are different from the AC transformer frequency band is calculated, and the ratio of the square sum of the amplitudes of the frequency components in the corresponding vibration data at 100 Hz and its multiples is calculated to obtain the vibration power ratio of the converter transformer in the different frequency bands.

2. The transformer optimization operation control method based on vibration signals according to claim 1 is characterized in that: The specific content of step S2 is: Decompose the current signal collected during the shutdown process into n sine waves, extract the peak value of each sine wave current, and divide the peak value by Calculate the effective value of each sinusoidal current, calculate the square root of the sum of the effective values ​​of all sinusoidal currents, and obtain the effective value of the converter transformer current signal; During the time period when the effective value of the current is a stable value, the collected vibration signal is classified as a normal working set; during the time period when the effective value of the current is a stable value to zero, the collected vibration signal is classified as a load reduction set; during the time period when the effective value of the current is zero, the collected vibration signal is classified as a no-load set.

3. The transformer optimization operation control method based on vibration signals according to claim 1 is characterized in that: Step S3: The method for extracting the winding vibration signal is as follows: S31. Select a vibration sample in the no-load set as a control vibration signal, and select each vibration sample of the normal working and load reduction set as the target vibration signal for analysis; S32 performs cross-correlation calculations to obtain the cross-correlation value between the control vibration signal and each target analysis vibration signal at the time lag k; S33. Continuously changing the value of the time delay k, moving the control vibration signal around in the target analysis vibration signal, and finding the time delay value corresponding to the maximum cross-correlation value; S34. When the control vibration signal moves to the point where the similarity with the target vibration signal is the greatest, the vibration data that overlaps between the two in time series is intercepted, and the difference between the two sets of vibration signals is calculated to extract the DC side vibration signal, which is the winding vibration signal.

4. The transformer optimization operation control method based on vibration signals according to claim 1 is characterized in that: Step S5: The calculation method of the winding vibration signal waveform index is: Perform Hilbert transform on the winding vibration signal, construct the analytical signal and calculate the envelope of the winding vibration signal; Calculate the sum of squares of discrete points in the envelope of the winding vibration signal, average it and then take the square root. Then calculate the ratio of the square root value to the mean of the discrete points in the envelope to obtain the waveform index of the winding vibration signal.

5. The transformer optimization operation control method based on vibration signals according to claim 1 is characterized in that: In step S5, the total harmonic distortion rate of the winding vibration signal is calculated as follows: Fourier transform is performed on each separated winding vibration signal, and the amplitude of the frequency component of 100 Hz and its multiples in the spectrum diagram is extracted. The ratio of the sum of the amplitudes of the 100 Hz multiple components in the vibration signal to the amplitude of the 100 Hz frequency component is calculated to obtain the total harmonic distortion rate of the winding vibration signal.

6. The transformer optimization operation control method based on vibration signals according to claim 1 is characterized in that: Step S6, the specific contents of optimizing the operation of the converter transformer are: Combining the vibration power proportion of the converter transformer box vibration signal in the different frequency bands as well as the waveform indicators and total harmonic distortion rate of the separated winding vibration signal, the current range in which the harmonic impact on the winding vibration is aggravated is obtained. The control system is used to shorten the working time of the converter transformer shutdown process within the range and avoid the converter transformer operating in the range when it is not fully loaded, so as to optimize the operation control of the converter transformer.

7. A transformer optimization operation control system based on vibration signals, characterized in that: A transformer optimization operation control method based on vibration signals according to any one of claims 1 to 6, comprising: an acquisition unit, a current effective value calculation unit, a classification unit, a correlation calculation unit, a winding vibration signal separation unit, a spectrum analysis unit, a vibration cumulative power ratio calculation unit, a vibration waveform index calculation unit, a vibration harmonic total distortion rate calculation unit, and a judgment unit; The collection unit is used to collect vibration samples and operating currents at corresponding times at multiple times in different operating states of the converter transformer; wherein each vibration sample is a vibration signal collected by a vibration sensor installed on the outer surface of the converter transformer box, and each operating current is a current signal collected by a current sensor installed on the end screen of the bushing on the grid side of the converter transformer; A current effective value calculation unit, used to calculate the collected current signal into an effective value; A classification unit is used to classify the vibration signals corresponding to corresponding time points into a normal working set, a load reduction set and a no-load set according to the change of the effective value of the current; a correlation calculation unit, configured to perform cross-correlation calculation on the control vibration signal and the target analysis vibration signal to obtain a delay when the control vibration signal has the greatest similarity to the target analysis vibration signal; The winding vibration signal separation unit is used to move the reference vibration signal to the delayed position where the similarity in the target analysis vibration signal is the greatest, intercept the vibration data of the two, perform differential calculation on the data, and extract the winding vibration data; A spectrum analysis unit is used to perform Fourier transform on each converter transformer box vibration signal and the separated winding vibration signal, and identify the amplitude of the frequency component of 100 Hz and its multiples in the spectrum diagram of the vibration signal; A vibration cumulative power ratio calculation unit is used to extract the amplitude of the frequency component contained in the frequency band different from the AC transformer in the frequency spectrum of the converter transformer box vibration signal, and calculate the vibration cumulative power ratio of the difference frequency band; a vibration waveform index calculation unit, for extracting the envelope of each separated winding vibration signal, calculating the ratio of the root mean square value of the winding vibration signal envelope to the mean value, and obtaining the winding vibration signal waveform index; The vibration harmonic total distortion rate calculation unit is used to extract the amplitude of the 100 Hz multiple frequency component and the amplitude of the 100 Hz frequency component in the winding vibration signal, and obtain the vibration total harmonic distortion rate of the winding vibration signal based on the relationship between the fundamental frequency and the harmonics; The judgment unit is used to determine the current range in which the influence of the harmonics of the converter transformer on the winding vibration is aggravated based on the characteristic quantity distribution obtained by analyzing the vibration signals of the converter transformer in different operating states and the separated winding vibration signals, so as to optimize the operation control of the converter transformer through the control system.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for optimizing transformer operation and controlling based on vibration signals according to any one of claims 1 to 6 is implemented.

9. A processing terminal comprising a memory and a processor, wherein the memory stores a computer program that can be run on the processor, characterized in that: When the processor executes the computer program, the transformer optimization operation control method based on vibration signals as described in any one of claims 1 to 6 is implemented.

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