Excitation evaluation method, device and equipment for state diagnosis of transformer winding and medium

Abstract

The invention discloses an excitation evaluation method and device for state diagnosis of a transformer winding, equipment and a medium, and the method comprises the steps: obtaining response signals under different signal injections, including frequency response data of sine wave signals, square wave signals and triangular wave signals with different frequencies, which are respectively injected into a sleeve through a coupling capacitor by a digital signal generator; performing data processing on the response signals under different signal injections, and determining amplitude-frequency difference factors and phase-frequency difference factors under different signal injections; respectively performing excitation evaluation on different injected signals according to the frequency response data, the amplitude-frequency difference factor and the phase-frequency difference factor under different signal injection; and selecting corresponding signal injection according to the excitation evaluation result, and completing the diagnosis of the state of the transformer winding. According to the method, the injection signal can be evaluated accurately and effectively, the most appropriate injection signal is selected accordingly, and the sensitivity and accuracy of fault detection are improved.

Description

Technical Field

[0001] The present application relates to the technical field of transformer winding fault diagnosis, and in particular to an excitation evaluation method, device, equipment and medium for transformer winding status diagnosis. Background Art

[0002] The health of transformer windings is crucial to the stable operation of power systems. As a key component of the transformer, windings are responsible for the conversion of electrical energy, and their performance directly impacts power transmission efficiency and reliability. Given the complexity of transformer winding structures and the environmental stresses of long-term operation, including overload, harsh environmental conditions, and material aging, winding failures can occur. Transformer winding failures have multiple impacts: not only can they cause transformer downtime and power outages, impacting user electricity use and causing economic losses, but they can also cause internal short circuits or partial discharges in the transformer, increasing the risk of fire or explosion, and threatening the safety of personnel and equipment. Furthermore, winding failures can reduce transformer efficiency, increase the burden on the power system, and impact overall system stability. Therefore, regular inspection and fault diagnosis of transformer windings are key measures to ensure power system safety.

[0003] In transformer winding fault diagnosis, different signal injection techniques significantly impact the accuracy and efficiency of diagnostic results. Injection methods using square waves, sine waves, or other complex waveforms can reveal different winding characteristics and potential problems. Each injection signal has its own unique advantages and limitations. Choosing the most appropriate injection signal is an urgent issue for improving the sensitivity and accuracy of fault detection. Summary of the Invention

[0004] Based on this, it is necessary to propose an excitation evaluation method, device, equipment and medium for transformer winding status diagnosis to address the above problems.

[0005] The present invention provides an incentive evaluation method for transformer winding status diagnosis, the method comprising:

[0006] Acquiring response signals under different signal injections, wherein the response signals under different signal injections include frequency response data of sine wave signals, square wave signals, and triangular wave signals of different frequencies respectively injected into the casing by a digital signal generator through a coupling capacitor;

[0007] Performing data processing on the response signals under the different signal injections to determine the amplitude-frequency difference factors and the phase-frequency difference factors under the different signal injections;

[0008] performing excitation evaluation on the different injected signals according to the frequency response data, amplitude-frequency difference factor and phase-frequency difference factor under the different signal injections;

[0009] According to the excitation evaluation results, the corresponding signal injection is selected to complete the diagnosis of the transformer winding status.

[0010] In some embodiments, the acquisition of response signals under different signal injections includes frequency response data of sine wave signals, square wave signals, and triangular wave signals of different frequencies injected into the casing by a digital signal generator through a coupling capacitor, specifically including:

[0011] Send out sine wave signals, square wave signals and triangle wave signals of different frequencies through a digital signal generator;

[0012] The digital signal generator injects sine wave signals, square wave signals and triangle wave signals at different frequencies into the transformer windings through the coupling capacitor and the low-voltage bushing, and then flows through the low-voltage winding, the medium-voltage winding and the high-voltage winding, and then flows out of the transformer through the high-voltage bushing;

[0013] Measure the frequency response data corresponding to the sine wave signal, square wave signal, and triangle wave signal injected with different frequencies. The frequency response data includes: S x =[a x1 a x2 … a xn ]、W x =[b x1 b x2 … b xn ], where x=f, r, and t are sine wave, square wave, and triangle wave signals, respectively. x and W x They represent the amplitude-frequency data and phase-frequency data obtained when sine wave signals, square wave signals or triangle wave signals of different frequencies are injected, respectively. xn and b xn They respectively represent the amplitude and phase angle of the nth point of the frequency response curve of the i-th group when a sine wave signal, square wave signal or triangle wave signal is injected.

[0014] In some embodiments, performing data processing on the response signals under different signal injections to determine the amplitude-frequency difference factors and phase-frequency difference factors under different signal injections includes:

[0015] according to Determine the amplitude-frequency difference factor under different signal injections, where m is the mth point of the frequency response curve, n is the number of points, and σ x is the variance of the amplitude-frequency data obtained from different injection signals, a xn are the amplitude-frequency data and phase-frequency data obtained by different injection signals, respectively. x=f, r, t are sine wave signal, square wave signal, triangle wave signal, respectively. xis the amplitude-frequency difference factor under different signal injections.

[0016] In some embodiments, performing data processing on the response signals under different signal injections to determine the amplitude-frequency difference factors and phase-frequency difference factors under different signal injections specifically includes:

[0017] according to Determine the phase-frequency difference factor under different signal injections, where m is the mth point of the frequency response curve, n is the number of points, and b xn is the phase-frequency data obtained by different injection signals, x=f, r, t are sine wave signals, square wave signals, and triangle wave signals respectively, Φ x is the phase-frequency difference factor under different signal injections.

[0018] In some embodiments, the step of performing excitation evaluation on the different injected signals based on the frequency response data, the amplitude-frequency difference factor, and the phase-frequency difference factor under the different signal injections includes:

[0019] Determining the mean values ​​of the amplitude-frequency difference factors and the phase-frequency difference factors obtained by the three different injection signals according to the amplitude-frequency difference factors and the phase-frequency difference factors under the different signal injection conditions;

[0020] According to the mean value of the amplitude-frequency difference factor, the mean value of the phase-frequency difference factor and the frequency response data, the amplitude-frequency difference factor and the phase-frequency difference factor under the injection of different signals, the different injected signals are respectively stimulated and evaluated.

[0021] In some embodiments, the step of performing excitation evaluation on different injected signals based on the mean value of the amplitude-frequency difference factor, the mean value of the phase-frequency difference factor, and the frequency response data, the amplitude-frequency difference factor, and the phase-frequency difference factor under the injection of different signals comprises:

[0022] according to The different injected signals are stimulated and evaluated separately, among which, is the mean of the amplitude-frequency data obtained from three different injection signals, μ Φx is the mean of the phase-frequency data obtained from three different injected signals, x=f, r, t represent the sine wave signal, square wave signal, and triangle wave signal respectively, and Λ is the excitation evaluation factor of the corresponding signal obtained when the different injected signals are excited and evaluated respectively.

[0023] In some embodiments, selecting a corresponding signal injection according to the excitation evaluation result to diagnose the transformer winding state includes:

[0024] Obtaining the excitation evaluation factors of the corresponding signals obtained when the different injected signals are subjected to excitation evaluation respectively;

[0025] The injection signal corresponding to the largest excitation evaluation factor is selected as the injection signal for diagnosing the transformer winding state, thereby completing the diagnosis of the transformer winding state.

[0026] The embodiment of the present application further provides an excitation evaluation device for transformer winding state diagnosis, the excitation evaluation device for transformer winding state diagnosis comprising:

[0027] an acquisition module, configured to acquire response signals under different signal injections, wherein the response signals under different signal injections include frequency response data of sine wave signals, square wave signals, and triangular wave signals of different frequencies respectively injected into the casing by a digital signal generator through a coupling capacitor;

[0028] a data processing module, configured to perform data processing on the response signals under the different signal injections, and determine the amplitude-frequency difference factors and the phase-frequency difference factors under the different signal injections;

[0029] an excitation evaluation module, configured to perform excitation evaluation on different injected signals respectively according to the frequency response data, amplitude-frequency difference factor and phase-frequency difference factor under the injection of different signals;

[0030] The winding diagnosis module is used to select the corresponding signal injection according to the excitation evaluation results to complete the diagnosis of the transformer winding status.

[0031] An embodiment of the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor performs the following steps:

[0032] Acquiring response signals under different signal injections, wherein the response signals under different signal injections include frequency response data of sine wave signals, square wave signals, and triangular wave signals of different frequencies respectively injected into the casing by a digital signal generator through a coupling capacitor;

[0033] Performing data processing on the response signals under the different signal injections to determine the amplitude-frequency difference factors and the phase-frequency difference factors under the different signal injections;

[0034] performing excitation evaluation on the different injected signals according to the frequency response data, amplitude-frequency difference factor and phase-frequency difference factor under the different signal injections;

[0035] According to the excitation evaluation results, the corresponding signal injection is selected to complete the diagnosis of the transformer winding status.

[0036] The present application also provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, the processor performs the following steps:

[0037] Acquiring response signals under different signal injections, wherein the response signals under different signal injections include frequency response data of sine wave signals, square wave signals, and triangular wave signals of different frequencies respectively injected into the casing by a digital signal generator through a coupling capacitor;

[0038] Performing data processing on the response signals under the different signal injections to determine the amplitude-frequency difference factors and the phase-frequency difference factors under the different signal injections;

[0039] performing excitation evaluation on the different injected signals according to the frequency response data, amplitude-frequency difference factor and phase-frequency difference factor under the different signal injections;

[0040] According to the excitation evaluation results, the corresponding signal injection is selected to complete the diagnosis of the transformer winding status.

[0041] The embodiments of the present application have the following beneficial effects:

[0042] In the excitation evaluation method for transformer winding state diagnosis provided in an embodiment of the present application, response signals under different signal injections are obtained: a digital signal generator is used to inject sinusoidal wave signals, square wave signals, and triangular wave signals of different frequencies into the transformer winding through a coupling capacitor, and the corresponding frequency response data is measured; data processing is performed on the response signals: based on the obtained frequency response data, the amplitude-frequency difference factor and phase-frequency difference factor under different signal injections are calculated to quantify the impact of different signal injections on the winding state; excitation evaluation is performed on the different injected signals: based on the amplitude-frequency difference factor, the phase-frequency difference factor, and the frequency response data, the injected sinusoidal wave signal, square wave signal, and triangular wave signal are excitation evaluated to determine which signal injection method can most accurately reflect the winding state; corresponding signal injection is selected for winding state diagnosis: based on the excitation evaluation results, the optimal signal injection method is selected to complete the diagnosis of the transformer winding state; by selecting the optimal signal injection method, the accuracy and efficiency of transformer winding fault diagnosis are improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the embodiments of the present application 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 only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0044] in:

[0045] Figure 1 1 is a flow chart of an excitation evaluation method for transformer winding status diagnosis in one embodiment;

[0046] Figure 2 is a structural diagram of an excitation evaluation device for transformer winding state diagnosis in one embodiment;

[0047] Figure 3 is a schematic structural diagram of a computer device in one embodiment;

[0048] Figure 4 FIG. 1 is a schematic diagram of the structure of a computer-readable storage medium in one embodiment. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0050] In the embodiment of the present application, a method for diagnosing the state of a transformer winding is provided. Figure 1 , Figure 1 1 is a flow chart of an excitation evaluation method for transformer winding state diagnosis in an embodiment; the excitation evaluation method for transformer winding state diagnosis includes steps S1 to S4.

[0051] Step S1, obtaining response signals under different signal injections, wherein the response signals under different signal injections include frequency response data of sine wave signals, square wave signals, and triangular wave signals of different frequencies respectively injected into the casing by a digital signal generator through a coupling capacitor;

[0052] In some embodiments, the acquisition of response signals under different signal injections includes frequency response data of sine wave signals, square wave signals, and triangular wave signals of different frequencies injected into the casing by a digital signal generator through a coupling capacitor, specifically including:

[0053] Send out sine wave signals, square wave signals and triangle wave signals of different frequencies through a digital signal generator;

[0054] The digital signal generator injects sine wave signals, square wave signals and triangle wave signals at different frequencies into the transformer windings through the coupling capacitor and the low-voltage bushing, and then flows through the low-voltage winding, the medium-voltage winding and the high-voltage winding, and then flows out of the transformer through the high-voltage bushing;

[0055] Measure the frequency response data corresponding to the sine wave signal, square wave signal, and triangle wave signal injected with different frequencies. The frequency response data includes: S x =[a x1 ax2 … a xn ]、W x =[b x1 b x2 … b xn ], where x=f, r, and t are sine wave, square wave, and triangle wave signals, respectively. x and W x They represent the amplitude-frequency data and phase-frequency data obtained when sine wave signals, square wave signals or triangle wave signals of different frequencies are injected, respectively. xn and b xn They respectively represent the amplitude and phase angle of the nth point of the frequency response curve of the i-th group when a sine wave signal, square wave signal or triangle wave signal is injected.

[0056] Specifically, to obtain the response signals under different signal injections, a computer is first used to generate sine wave signals, square wave signals, and triangle wave signals of different frequencies through a digital signal generator. The digital signal generator injects the sine wave signals, square wave signals, and triangle wave signals of different frequencies into the bushing through a coupling capacitor. The injection signals of different frequencies are injected into the transformer winding through the low-voltage bushing, flow through the low-voltage winding, medium-voltage winding, and high-voltage winding, and then flow out of the transformer through the high-voltage bushing. The output response is measured by the computer, and the input is stopped and the output measurement is performed. This experiment is repeated, and the corresponding frequency response data is obtained by injecting sine waves, square waves, and triangle waves with different frequencies. By injecting different types of signals (sine waves, square waves, triangle waves, etc.) into the transformer winding and measuring the corresponding frequency response data, combined with data processing and excitation evaluation, the different characteristics and potential problems of the winding can be more comprehensively revealed. Compared with the traditional single signal injection method, this method can provide richer diagnostic information, thereby improving the accuracy of diagnosis.

[0057] Step S2, performing data processing on the response signals under the different signal injections to determine the amplitude-frequency difference factor and the phase-frequency difference factor under the different signal injections;

[0058] Specifically, based on the acquired frequency response data, the amplitude-frequency difference factor and phase-frequency difference factor are calculated for different signal injections. The amplitude-frequency difference factor is obtained by calculating the variance of the amplitude-frequency data obtained from different injection signals, while the phase-frequency difference factor is obtained by calculating the phase-frequency data obtained from different injection signals. These difference factors can quantify the degree of impact of different signal injections on the winding state, allowing for rapid selection of the optimal signal injection method. This avoids the tedious process of trying different signal injections one by one in traditional methods, significantly improving diagnostic efficiency.

[0059] In some embodiments, performing data processing on the response signals under different signal injections to determine the amplitude-frequency difference factors and phase-frequency difference factors under different signal injections includes:

[0060] according to Determine the amplitude-frequency difference factor under different signal injections, where m is the mth point of the frequency response curve, n is the number of points, and σ x is the variance of the amplitude-frequency data obtained from different injection signals, a xn are the amplitude-frequency data and phase-frequency data obtained by different injection signals, respectively. x=f, r, t are sine wave signal, square wave signal, triangle wave signal, respectively. x is the amplitude-frequency difference factor under different signal injections.

[0061] In some embodiments, performing data processing on the response signals under different signal injections to determine the amplitude-frequency difference factors and phase-frequency difference factors under different signal injections specifically includes:

[0062] according to Determine the phase-frequency difference factor under different signal injections, where m is the mth point of the frequency response curve, n is the number of points, and b xn is the phase-frequency data obtained by different injection signals, x=f, r, t are sine wave signals, square wave signals, and triangle wave signals respectively, Φ x is the phase-frequency difference factor under different signal injections.

[0063] Step S3, performing excitation evaluation on the different injected signals respectively according to the frequency response data, amplitude-frequency difference factor and phase-frequency difference factor under the injection of the different signals;

[0064] Specifically, the system evaluates the injected sine, square, and triangle wave signals based on the amplitude-frequency difference factor, phase-frequency difference factor, and frequency response data. First, the mean amplitude-frequency difference factor and phase-frequency difference factor obtained for the three different injected signals are calculated. Then, based on these mean values, along with the specific frequency response data, amplitude-frequency difference factor, and phase-frequency difference factor, a comprehensive evaluation is conducted for each signal injection method to determine which injection method most accurately reflects the winding state.

[0065] In some embodiments, the step of performing excitation evaluation on the different injected signals based on the frequency response data, the amplitude-frequency difference factor, and the phase-frequency difference factor under the different signal injections includes:

[0066] Determining the mean values ​​of the amplitude-frequency difference factors and the phase-frequency difference factors obtained by the three different injection signals according to the amplitude-frequency difference factors and the phase-frequency difference factors under the different signal injection conditions;

[0067] According to the mean value of the amplitude-frequency difference factor, the mean value of the phase-frequency difference factor and the frequency response data, the amplitude-frequency difference factor and the phase-frequency difference factor under the injection of different signals, the different injected signals are respectively stimulated and evaluated.

[0068] In some embodiments, the step of performing excitation evaluation on different injected signals based on the mean value of the amplitude-frequency difference factor, the mean value of the phase-frequency difference factor, and the frequency response data, the amplitude-frequency difference factor, and the phase-frequency difference factor under the injection of different signals comprises:

[0069] according to

[0070] The different injected signals are stimulated and evaluated separately, among which, is the mean of the amplitude-frequency data obtained from three different injection signals, μ Φx is the mean of the phase-frequency data obtained from three different injected signals, x=f, r, t represent the sine wave signal, square wave signal, and triangle wave signal respectively, and Λ is the excitation evaluation factor of the corresponding signal obtained when the different injected signals are excited and evaluated respectively.

[0071] Specifically, for example, when a sine wave signal is injected, the mean of the amplitude-frequency data is The calculation method is to sum the n data obtained from the frequency response and divide by n.

[0072] Step S4: Select the corresponding signal injection according to the excitation evaluation result to complete the diagnosis of the transformer winding status.

[0073] Specifically, the optimal signal injection method is selected based on the excitation evaluation results. Specifically, the injection signal with the highest excitation evaluation factor is selected as the injection signal for transformer winding condition diagnosis. This signal injection method is then used to diagnose the transformer winding condition and accurately determine whether the winding is faulty.

[0074] In some embodiments, selecting a corresponding signal injection according to the excitation evaluation result to diagnose the transformer winding state includes:

[0075] Obtaining the excitation evaluation factors of the corresponding signals obtained when the different injected signals are subjected to excitation evaluation respectively;

[0076] The injection signal corresponding to the largest excitation evaluation factor is selected as the injection signal for diagnosing the transformer winding state, thereby completing the diagnosis of the transformer winding state.

[0077] Specifically, different excitation evaluation factors can be obtained for different signal injections. For example, the excitation evaluation factors obtained by injecting a sine wave, a square wave, and a triangle wave are denoted as Λ1, Λ2, and Λ3, respectively. If Λ1>Λ2>Λ3, then using sine wave injection for this system is more effective in diagnosing transformer winding faults. By accurately and promptly diagnosing transformer winding faults, potential safety hazards can be discovered and addressed in a timely manner, thereby avoiding power outages and power supply interruptions caused by transformer faults. This helps improve the stability and reliability of the power system and ensure the safety and economic benefits of users.

[0078] By adopting the technical solution of this embodiment, different types of signals, such as sine waves, square waves, triangle waves, etc., are injected into the transformer windings and the corresponding frequency response data is measured. Then, combined with data processing and excitation evaluation, the different characteristics and potential problems of the windings can be more comprehensively revealed. Compared with the traditional single signal injection method, this method can provide richer diagnostic information, thereby improving the accuracy of diagnosis. By calculating the amplitude-frequency difference factor and the phase-frequency difference factor, different types of signal injections are quantitatively evaluated, so that the optimal signal injection method can be quickly screened out. This avoids the tedious process of trying different signal injections one by one in the traditional method, and significantly improves the diagnostic efficiency. Due to the transformer winding structure and Due to the complexity of the operating environment, different transformers may require different signal injection methods for fault diagnosis. The incentive evaluation method provided by this application can flexibly select the optimal signal injection method according to the actual conditions of different transformers, so it has strong adaptability. The incentive evaluation method provided by this application is based on the existing signal injection technology and data processing method, so it is easy to implement and promote in the existing transformer fault diagnosis system. At the same time, the equipment and computing resources required by this method are relatively small, which reduces the implementation cost. By accurately and timely diagnosing the faults of the transformer windings, potential safety hazards can be discovered and dealt with in a timely manner, thereby avoiding problems such as power outages and power supply interruptions caused by transformer faults. This helps to improve the stability and reliability of the power system and ensure the safety and economic benefits of users' electricity use. In summary, the incentive evaluation method for transformer winding status diagnosis provided by this application has significant beneficial effects in improving diagnostic accuracy, enhancing diagnostic efficiency, strong adaptability, easy implementation and promotion, and improving the stability of the power system.

[0079] In the embodiment of the present application, an excitation evaluation device for transformer winding state diagnosis is provided. Figure 2 , Figure 2 2 is a structural diagram of an excitation evaluation device for transformer winding state diagnosis in an embodiment, wherein the excitation evaluation device for transformer winding state diagnosis includes: an acquisition module 201 , a data processing module 203 , an excitation evaluation module and a winding diagnosis module 204 .

[0080] The acquisition module 201 is configured to acquire response signals under different signal injection conditions, wherein the response signals under different signal injection conditions include frequency response data of sine wave signals, square wave signals, and triangular wave signals of different frequencies injected into the casing by a digital signal generator through a coupling capacitor;

[0081] The data processing module 202 is configured to perform data processing on the response signals under the different signal injections, and determine the amplitude-frequency difference factor and the phase-frequency difference factor under the different signal injections;

[0082] The data processing module 203 is further configured to perform excitation evaluation on the different injected signals according to the frequency response data, amplitude-frequency difference factor and phase-frequency difference factor under the different signal injections;

[0083] The winding diagnosis module 204 is configured to select a corresponding signal injection according to the excitation evaluation result to complete the diagnosis of the transformer winding status.

[0084] In some embodiments, the acquisition module 201 is further configured to generate sine wave signals, square wave signals, and triangle wave signals of different frequencies through a digital signal generator;

[0085] The digital signal generator injects sine wave signals, square wave signals and triangle wave signals at different frequencies into the transformer windings through the coupling capacitor and the low-voltage bushing, and then flows through the low-voltage winding, the medium-voltage winding and the high-voltage winding, and then flows out of the transformer through the high-voltage bushing;

[0086] Measure the frequency response data corresponding to the sine wave signal, square wave signal, and triangle wave signal injected with different frequencies. The frequency response data includes: S x =[a x1 a x2 … a xn ]、W x =[b x1 b x2 … b xn ], where x=f, r, and t are sine wave, square wave, and triangle wave signals, respectively. x and W x They represent the amplitude-frequency data and phase-frequency data obtained when sine wave signals, square wave signals or triangle wave signals of different frequencies are injected, respectively. xn and b xn They respectively represent the amplitude and phase angle of the nth point of the frequency response curve of the i-th group when a sine wave signal, square wave signal or triangle wave signal is injected.

[0087] In some embodiments, the data processing module 202 is further configured to Determine the amplitude-frequency difference factor under different signal injections, where m is the mth point of the frequency response curve, n is the number of points, and σ x is the variance of the amplitude-frequency data obtained from different injection signals, a xn are the amplitude-frequency data and phase-frequency data obtained by different injection signals, respectively. x=f, r, t are sine wave signal, square wave signal, triangle wave signal, respectively. x is the amplitude-frequency difference factor under different signal injections.

[0088] In some embodiments, the data processing module 202 is further configured to Determine the phase-frequency difference factor under different signal injections, where m is the mth point of the frequency response curve, n is the number of points, and b xn is the phase-frequency data obtained by different injection signals, x=f, r, t are sine wave signals, square wave signals, and triangle wave signals respectively, Φ x is the phase-frequency difference factor under different signal injections.

[0089] In some embodiments, the excitation evaluation module 203 is further configured to determine the mean of the amplitude-frequency difference factors and the mean of the phase-frequency difference factors obtained from three different injection signals according to the amplitude-frequency difference factors and the phase-frequency difference factors under the different signal injections;

[0090] According to the mean value of the amplitude-frequency difference factor, the mean value of the phase-frequency difference factor and the frequency response data, the amplitude-frequency difference factor and the phase-frequency difference factor under the injection of different signals, the different injected signals are respectively stimulated and evaluated.

[0091] In some embodiments, the incentive evaluation module 203 is further configured to The different injected signals are stimulated and evaluated separately, among which, is the mean of the amplitude-frequency data obtained from three different injection signals, μ Φx is the mean of the phase-frequency data obtained from three different injected signals, x=f, r, t represent the sine wave signal, square wave signal, and triangle wave signal respectively, and Λ is the excitation evaluation factor of the corresponding signal obtained when the different injected signals are excited and evaluated respectively.

[0092] In some embodiments, the winding diagnosis module 204 is further configured to obtain excitation evaluation factors of corresponding signals obtained when excitation evaluation is performed on different injected signals respectively;

[0093] The injection signal corresponding to the largest excitation evaluation factor is selected as the injection signal for diagnosing the transformer winding state, thereby completing the diagnosis of the transformer winding state.

[0094] For other details of how the above technical solutions are implemented by each module in the excitation evaluation device for transformer winding state diagnosis, please refer to the description of the excitation evaluation method for transformer winding state diagnosis provided above, which will not be repeated here.

[0095] In the embodiment of the present application, a computer device is provided. Figure 3 , Figure 3 3 is a schematic diagram of the structure of a computer device in one embodiment. The device includes a memory 301 and a processor 302. The memory 301 stores a computer program. When the computer program is executed by the processor 302, the processor 302 performs the following steps:

[0096] Acquiring response signals under different signal injections, wherein the response signals under different signal injections include frequency response data of sine wave signals, square wave signals, and triangular wave signals of different frequencies respectively injected into the casing by a digital signal generator through a coupling capacitor;

[0097] Performing data processing on the response signals under the different signal injections to determine the amplitude-frequency difference factors and the phase-frequency difference factors under the different signal injections;

[0098] performing excitation evaluation on the different injected signals according to the frequency response data, amplitude-frequency difference factor and phase-frequency difference factor under the different signal injections;

[0099] According to the excitation evaluation results, the corresponding signal injection is selected to complete the diagnosis of the transformer winding status.

[0100] Among them, the processor 302 can also be called a CPU (Central Processing Unit), and the processor 302 may be an integrated circuit chip with signal processing capabilities; the processor 302 can also be a general-purpose processor, DSP (Digital Signal Processor), ASIC (Application Specific Integrated Circuit), FPGA (Field Programmable Gate Array) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, among which the general-purpose processor can be a microprocessor or the processor 302 can also be any conventional processor, etc.

[0101] In an embodiment of the present application, a computer readable storage medium is provided. Figure 4 , Figure 4FIG4 is a schematic diagram of the structure of a computer-readable storage medium in one embodiment, wherein the storage medium stores a readable computer program 401; wherein the computer program 401 may be stored in the storage medium in the form of a software product, and includes a number of instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor to perform the following steps:

[0102] Acquiring response signals under different signal injections, wherein the response signals under different signal injections include frequency response data of sine wave signals, square wave signals, and triangular wave signals of different frequencies respectively injected into the casing by a digital signal generator through a coupling capacitor;

[0103] Performing data processing on the response signals under the different signal injections to determine the amplitude-frequency difference factors and the phase-frequency difference factors under the different signal injections;

[0104] performing excitation evaluation on the different injected signals according to the frequency response data, amplitude-frequency difference factor and phase-frequency difference factor under the different signal injections;

[0105] According to the excitation evaluation results, the corresponding signal injection is selected to complete the diagnosis of the transformer winding status.

[0106] The aforementioned storage media include: USB flash drives, mobile hard drives, magnetic disks or optical disks, ROM (Read-Only Memory), RAM (Random Access Memory), and other media that can store program codes, or terminal devices such as computers, service machines, mobile phones, and tablets.

[0107] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0108] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0109] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. An incentive evaluation method for transformer winding status diagnosis, characterized in that: The method comprises: Acquire response signals under different signal injections, wherein the response signals under different signal injections include frequency response data of sine wave signals, square wave signals, and triangular wave signals of different frequencies respectively injected into the casing by a digital signal generator through a coupling capacitor; Performing data processing on the response signals under the different signal injections to determine the amplitude-frequency difference factors and the phase-frequency difference factors under the different signal injections; According to the frequency response data, amplitude-frequency difference factor and phase-frequency difference factor under the injection of different signals, respectively, the different injected signals are stimulated and evaluated; According to the excitation evaluation results, the corresponding signal injection is selected to complete the diagnosis of the transformer winding status.

2. The method for evaluating the state of transformer windings according to claim 1, characterized in that: The response signals under different signal injections are obtained, and the response signals under different signal injections include frequency response data of sine wave signals, square wave signals, and triangular wave signals of different frequencies respectively injected into the casing by the digital signal generator through the coupling capacitor, and specifically include: Send out sine wave signals, square wave signals and triangle wave signals of different frequencies through a digital signal generator; The digital signal generator injects sine wave signals, square wave signals and triangular wave signals at different frequencies into the transformer windings through the coupling capacitor and the low-voltage bushing, and then flows through the low-voltage winding, the medium-voltage winding and the high-voltage winding, and then flows out of the transformer through the high-voltage bushing; The frequency response data corresponding to the sine wave signal, square wave signal and triangle wave signal injected with different frequencies are measured respectively. The frequency response data includes: S x =[a x1 a x2 … a xn ]、W x =[b x1 b x2 … b xn ], where x=f, r, t are sine wave signal, square wave signal, triangle wave signal respectively, S x and W x They are respectively represented by the amplitude-frequency data and phase-frequency data obtained when a sine wave signal, square wave signal or triangle wave signal of different frequencies is injected, a xn and b xn They respectively represent the amplitude and phase angle of the nth point of the i-th group of frequency response curves when a sine wave signal, a square wave signal or a triangle wave signal is injected.

3. The method for evaluating the transformer winding status according to claim 2, characterized in that: The step of performing data processing on the response signals under different signal injections to determine the amplitude-frequency difference factor and the phase-frequency difference factor under different signal injections includes: Determine the amplitude-frequency difference factor under different signal injections, where m is the mth point of the frequency response curve, n is the number of points, and σ x is the variance of the amplitude-frequency data obtained by different injection signals, a xn are the amplitude-frequency data and phase-frequency data obtained by different injection signals, respectively. x=f, r, t are sine wave signals, square wave signals, and triangle wave signals, respectively. x is the amplitude-frequency difference factor under different signal injections.

4. The method for evaluating the transformer winding status according to claim 3, characterized in that: The performing data processing on the response signals under the different signal injections to determine the amplitude-frequency difference factor and the phase-frequency difference factor under the different signal injections specifically includes: according to Determine the phase-frequency difference factor under different signal injections, where m is the mth point of the frequency response curve, n is the number of points, and b xn is the phase-frequency data obtained by different injection signals, x=f, r, t are sine wave signals, square wave signals, and triangle wave signals respectively, Φ x is the phase-frequency difference factor under different signal injections.

5. The method for evaluating the state of transformer windings according to claim 4, characterized in that: The step of respectively performing excitation evaluation on the injected different signals according to the frequency response data, the amplitude-frequency difference factor and the phase-frequency difference factor under the injection of the different signals comprises: According to the amplitude-frequency difference factors and phase-frequency difference factors under different signal injections, determining the mean values ​​of the amplitude-frequency difference factors and the phase-frequency difference factors obtained by three different injection signals; According to the mean value of the amplitude-frequency difference factor, the mean value of the phase-frequency difference factor and the frequency response data, the amplitude-frequency difference factor and the phase-frequency difference factor under the injection of different signals, the different injected signals are respectively stimulated and evaluated.

6. The method for evaluating the state of transformer windings according to claim 5, characterized in that: The method of performing excitation evaluation on different injected signals respectively according to the mean value of the amplitude-frequency difference factor, the mean value of the phase-frequency difference factor and the frequency response data, the amplitude-frequency difference factor and the phase-frequency difference factor under the injection of different signals includes: according to The different injected signals are stimulated and evaluated separately, among which, is the mean value of the amplitude-frequency data obtained from three different injection signals, μ Φx is the mean of the phase-frequency data obtained by three different injected signals, x=f, r, t represent the sine wave signal, square wave signal, and triangle wave signal respectively, and Λ is the excitation evaluation factor of the corresponding signal obtained when the different injected signals are excited and evaluated respectively.

7. The method for evaluating the state of transformer windings according to claim 6, characterized in that: The step of selecting a corresponding signal injection according to the excitation evaluation result to realize the diagnosis of the transformer winding state includes: Acquire the excitation evaluation factors of the corresponding signals obtained when the injected different signals are respectively subjected to excitation evaluation; The injection signal corresponding to the largest excitation evaluation factor is selected as the injection signal for diagnosing the transformer winding state, thereby completing the diagnosis of the transformer winding state.

8. An excitation evaluation device for transformer winding status diagnosis, characterized in that: The device comprises: An acquisition module is used to acquire response signals under different signal injections, wherein the response signals under different signal injections include frequency response data of sine wave signals, square wave signals, and triangular wave signals of different frequencies respectively injected into the casing by a digital signal generator through a coupling capacitor; A data processing module, used for performing data processing on the response signals under the injection of different signals, and determining the amplitude-frequency difference factor and the phase-frequency difference factor under the injection of different signals; An excitation evaluation module, used to perform excitation evaluation on different injected signals respectively according to the frequency response data, amplitude-frequency difference factor and phase-frequency difference factor under the injection of different signals; The winding diagnosis module is used to select the corresponding signal injection according to the excitation evaluation result to complete the diagnosis of the transformer winding status.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, wherein when the computer program is executed by a processor, the processor is caused to perform the steps of the method according to any one of claims 1 to 7.

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