Transformer winding state evaluation method, storage medium and equipment

Abstract

The embodiment of the invention discloses a transformer winding state evaluation method, a storage medium and equipment, and the method comprises the steps: injecting a plurality of different source signals into a to-be-tested transformer, and adjusting the frequency of the injected source signals according to a preset step length in a preset frequency range, and obtaining a to-be-tested frequency response curve corresponding to each source signal, determining an offset factor corresponding to each source signal according to the to-be-tested frequency response curve corresponding to each source signal and a preset normal frequency response curve, determining an evaluation coefficient according to the offset factors of all the source signals, and finally evaluating the winding state of the to-be-tested transformer according to the evaluation coefficient. According to the method and the device, various different source signals are injected in the preset frequency range, tests can be performed in different source signal directions and frequencies so as to provide comprehensive winding state evaluation, and due to the fact that various source signals are combined for test evaluation, the accuracy of the evaluation result can be ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and in particular to a transformer winding state assessment method, storage medium and device. Background Art

[0002] Transformers are core components of power systems, used for voltage conversion, power transmission and distribution. Their safe and reliable operation is crucial to the stability and reliability of the power grid. Once a transformer fails, it may cause power supply interruption, triggering a series of chain reactions, causing economic losses and adverse social impacts. Winding failure is the main problem of transformer failure, including insulation degradation, mechanical damage, thermal stress and other problems. These factors, under the influence of electric and magnetic fields for a long time, lead to insulation degradation and quality problems such as turn-to-turn short circuit or winding bulging, which in turn affects the operating efficiency and safety of the winding. Therefore, continuous monitoring and diagnosis of winding status is crucial to prevent power accidents and ensure the safety of the power grid.

[0003] The existing transformer winding condition assessment method relies on a single signal source test. Although this method is convenient, it cannot fully assess the winding condition due to the single signal. In addition, the single signal test is easily affected by noise and other interference factors, which can easily lead to errors in the assessment results. Summary of the invention

[0004] Based on this, it is necessary to propose a transformer winding state evaluation method, storage medium and device to address the above problems, which can provide a comprehensive winding state evaluation, ensure the accuracy of the evaluation results, and because the calculation process is simple, it can also quickly and effectively evaluate the winding state of the transformer.

[0005] To achieve the above object, the present invention provides a transformer winding state assessment method in a first aspect, the method comprising:

[0006] Injecting a plurality of different source signals into the transformer to be tested respectively, and adjusting the frequency of the injected source signal according to a preset step length within a preset frequency range to obtain a frequency response curve to be tested corresponding to each source signal;

[0007] Determine the offset factor corresponding to each source signal according to the frequency response curve to be tested and the preset normal frequency response curve corresponding to each source signal;

[0008] determining an evaluation coefficient based on the offset factors of all source signals;

[0009] The winding state of the transformer to be tested is evaluated according to the evaluation coefficient.

[0010] Optionally, determining the offset factor corresponding to each source signal according to the frequency response curve to be measured and the preset normal frequency response curve corresponding to each source signal includes:

[0011] Using the formula Determine the offset factor corresponding to each source signal;

[0012] Among them, F n is the offset factor corresponding to the nth source signal, I is the number of source signal types, log 10 () is the logarithm with base 10, T i n Y is the frequency response point of the frequency response curve to be measured corresponding to the nth source signal at the ith frequency, i n It is the frequency response point of the preset normal frequency response curve corresponding to the nth source signal at the ith frequency.

[0013] Optionally, the multiple different source signals include a sine signal, a square wave signal and a triangle wave signal, and the determining of the evaluation coefficient according to the offset factors of all the source signals includes:

[0014] Using the formula determining the evaluation coefficient;

[0015] Wherein, δ is the evaluation coefficient, F s is the offset factor corresponding to the sinusoidal signal, F sq is the offset factor corresponding to the square wave signal, F t is the offset factor corresponding to the triangular wave signal.

[0016] Optionally, the method of injecting a plurality of different source signals into the transformer to be tested respectively, and adjusting the frequency of the injected source signal according to a preset step size within a preset frequency range to obtain a frequency response curve to be tested corresponding to each source signal, comprises:

[0017] Injecting the nth source signal into the transformer to be tested, and adjusting the frequency of the nth source signal according to the preset step size within the preset frequency range to obtain a response signal to be tested corresponding to the nth source signal;

[0018] Determine a frequency response curve to be measured corresponding to the nth source signal according to the nth source signal and the corresponding frequency response signal to be measured;

[0019] Among them, n successively takes integers greater than 0 until n is equal to the number of types of source signals, so as to obtain the response curves to be tested corresponding to different source signals.

[0020] Optionally, injecting the nth source signal into the transformer to be tested, and adjusting the frequency of the nth source signal according to the preset step size within the preset frequency range to obtain the response signal to be tested corresponding to the nth source signal, comprises:

[0021] Connecting a signal generator to the injection terminal of the transformer to be tested via a coupling capacitor, and connecting an oscilloscope to the response terminal of the transformer to be tested;

[0022] The signal generator is controlled to generate an nth source signal and injected into the injection end of the transformer to be tested, and within the preset frequency range, the frequency of the nth source signal generated by the signal generator is adjusted according to the preset step size, and the oscilloscope is controlled to obtain a response signal to be tested corresponding to the nth source signal outputted from the response end of the transformer to be tested.

[0023] Optionally, determining the frequency response curve to be measured corresponding to the nth source signal according to the nth source signal and the frequency response signal to be measured corresponding thereto comprises:

[0024] Using the formula Determine the frequency response curve to be measured corresponding to the nth source signal;

[0025] Among them, T i n is the frequency response point of the frequency response curve to be measured corresponding to the nth source signal at the ith frequency, log 10 () is the logarithm with base 10, is the amplitude of the nth source signal at the ith frequency, is the amplitude of the frequency response curve to be measured corresponding to the nth source signal at the i-th frequency.

[0026] Optionally, the evaluating the winding state of the transformer to be tested according to the evaluation coefficient includes:

[0027] When the evaluation coefficient is less than or equal to a preset evaluation threshold, evaluating the winding state of the transformer to be tested as a good state;

[0028] When the evaluation coefficient is greater than the preset evaluation threshold, the winding state of the transformer to be tested is evaluated as a poor state.

[0029] Optionally, the method further comprises:

[0030] When the winding state of the transformer to be tested is evaluated to be in a poor state, an early warning message is output.

[0031] To achieve the above object, the present invention provides a transformer winding state assessment device in a second aspect, the device comprising:

[0032] An injection adjustment module is used to inject a plurality of different source signals into the transformer to be tested, and adjust the frequency of the injected source signal according to a preset step size within a preset frequency range to obtain a frequency response curve to be tested corresponding to each source signal;

[0033] A factor determination module, used to determine the offset factor corresponding to each source signal according to the frequency response curve to be tested and the preset normal frequency response curve corresponding to each source signal;

[0034] A coefficient determination module, used for determining an evaluation coefficient according to the offset factors of all source signals;

[0035] An evaluation module is used to evaluate the winding state of the transformer to be tested according to the evaluation coefficient.

[0036] To achieve the above-mentioned object, the present invention provides in a third aspect a computer-readable storage medium storing a computer program, wherein when the computer program is executed by a processor, the processor executes the method as described in any one of the first aspects.

[0037] To achieve the above-mentioned purpose, the present invention provides a computer device in a fourth aspect, 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 method as described in any one of the first aspects.

[0038] The embodiment of the present invention has the following beneficial effects: the above method injects a variety of different source signals into the transformer to be tested respectively, and adjusts the frequency of the injected source signal according to a preset step size within a preset frequency range to obtain a frequency response curve to be tested corresponding to each source signal, and then determines the offset factor corresponding to each source signal according to the frequency response curve to be tested corresponding to each source signal and a preset normal frequency response curve, and then determines the evaluation coefficient according to the offset factors of all source signals, and finally evaluates the winding state of the transformer to be tested according to the evaluation coefficient, that is, by injecting a variety of different source signals within the preset frequency range, tests can be performed at different source signal directions and frequencies to provide a comprehensive winding state evaluation, and because multiple source signals are combined for test evaluation, the accuracy of the evaluation results can be ensured. In addition, the calculation process of this method is simple, so the winding state of the transformer can be quickly and effectively evaluated. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0040] in:

[0041] Figure 1 A schematic diagram of a transformer winding state assessment method in an embodiment of the present application;

[0042] Figure 2 A schematic diagram of a transformer winding state assessment device in an embodiment of the present application;

[0043] Figure 3 1 is a diagram of the internal structure of a computer device in some embodiments. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0045] Transformers are core components of power systems, used for voltage conversion, power transmission and distribution. Their safe and reliable operation is crucial to the stability and reliability of the power grid. Once a transformer fails, it may cause power supply interruption, triggering a series of chain reactions, causing economic losses and adverse social impacts. Winding failure is the main problem of transformer failure, including insulation degradation, mechanical damage, thermal stress and other problems. These factors, under the influence of electric and magnetic fields for a long time, lead to insulation degradation and quality problems such as turn-to-turn short circuit or winding bulging, which in turn affects the operating efficiency and safety of the winding. Therefore, continuous monitoring and diagnosis of winding status is crucial to prevent power accidents and ensure the safety of the power grid.

[0046] The existing transformer winding condition assessment method relies on a single signal source test. Although this method is convenient, it cannot fully assess the winding condition due to the single signal. In addition, the single signal test is easily affected by noise and other interference factors, which can easily lead to errors in the assessment results.

[0047] In response to the above problems, the present application proposes a transformer winding state evaluation method, storage medium and device, which can provide a comprehensive winding state evaluation and ensure the accuracy of the evaluation results. Moreover, due to the simple calculation process, the winding state of the transformer can be quickly and effectively evaluated. The specific implementation principle will be described in detail in the following embodiments.

[0048] In a first aspect, the present application provides a method for evaluating a transformer winding state.

[0049] See also Figure 1 , is a schematic diagram of a transformer winding state assessment method in an embodiment of the present application, the method comprising:

[0050] Step 110: injecting a plurality of different source signals into the transformer to be tested respectively, and adjusting the frequencies of the injected source signals according to a preset step length within a preset frequency range to obtain a frequency response curve to be tested corresponding to each source signal.

[0051] The transformer to be tested refers to a transformer that needs to undergo winding condition assessment; the preset frequency range and the preset step size can be obtained and pre-set by an operator based on a large amount of experience, experiments or statistics.

[0052] It should be noted that the different source signals of the present application refer to signals of different types. In some embodiments, the preferred multiple different source signals of the present application may adopt sinusoidal signals, square wave signals and triangular wave signals, or two of them; of course, in other embodiments, the types of source signals may be increased, that is, not only the three types exemplified in the present application.

[0053] Furthermore, after a plurality of different source signals are respectively injected into the transformer to be tested, the method for determining the frequency response curve to be tested corresponding to each source signal can be determined by using an existing method.

[0054] In some embodiments, within a preset frequency range, the frequency of the injected source signal can be adjusted in increments or decrements according to a preset step size, which is not limited here; of course, the present application can preferably be adjusted in increments.

[0055] In some embodiments, the present application may preferably set the preset frequency range to [1 kHz, 1000 kHz] and the preset step size to 1.

[0056] Step 120: Determine the offset factor corresponding to each source signal according to the frequency response curve to be tested and the preset normal frequency response curve corresponding to each source signal.

[0057] Among them, the preset normal frequency response curve refers to the frequency response curve obtained when the winding state of the transformer is in a normal state, which can be determined by the operator when ensuring that the winding state of the transformer is in a normal state. The determination method is similar to the determination method of the frequency response curve to be measured, and will not be repeated here.

[0058] In some embodiments, according to the frequency response curve to be measured and the preset normal frequency response curve, an offset between the frequency response curve to be measured and the preset normal frequency response curve can be determined, and the offset is used as an offset factor.

[0059] Step 130: Determine the evaluation coefficient according to the offset factors of all source signals.

[0060] In some embodiments, after the offset factors of all source signals are obtained, the evaluation coefficient may be comprehensively determined by combining the offset factors of all source signals.

[0061] Step 140: Evaluate the winding state of the transformer to be tested according to the evaluation coefficient.

[0062] In some embodiments, a first preset winding state table may be obtained, and then matching may be performed in the first preset winding state table according to the evaluation coefficient to obtain the winding state corresponding to the evaluation coefficient, thereby evaluating the winding state of the transformer to be tested.

[0063] In other embodiments, at least one winding state threshold and a second preset winding state table can be obtained, and then a judgment result can be determined based on at least one winding state threshold and an evaluation coefficient. Finally, based on the judgment result, a match is performed in the second preset winding state table to obtain the winding state corresponding to the judgment result, thereby evaluating the winding state of the transformer to be tested.

[0064] The first preset winding state table and the second preset winding state table can be obtained and preset by an operator based on a large amount of experience, experiments or statistics.

[0065] In an embodiment of the present application, by injecting a variety of different source signals within a preset frequency range, testing can be performed at different source signal directions and frequencies to provide a comprehensive winding status evaluation. Moreover, since a variety of source signals are combined for test evaluation, the accuracy of the evaluation results can be ensured. In addition, the calculation process of this method is simple, so the winding status of the transformer can be quickly and effectively evaluated.

[0066] In addition, the method of the present application also has the following advantages: by injecting multiple source signals such as sinusoidal signals, square wave signals and triangular wave signals, the status information of the transformer winding can be detected from multiple angles, the signal diversity in the evaluation is improved, the evaluation results are more comprehensive, and the limitations brought by the single signal method are reduced; by combining multiple signals, different injection signals can provide additional information to assist in filtering out noise, effectively enhance the resistance to noise, and can more accurately identify anomalies or faults and reduce the false alarm rate; by using multiple signals, the subtle changes in the transformer winding can be captured more finely, and the health status of the winding can be comprehensively evaluated, thereby improving the accuracy of the evaluation.

[0067] In a feasible implementation, step 120 in the above embodiment, determining the offset factor corresponding to each source signal according to the frequency response curve to be measured and the preset normal frequency response curve corresponding to each source signal, includes:

[0068] Using the formula Determine the offset factor corresponding to each source signal;

[0069] Among them, F n is the offset factor corresponding to the nth source signal, I is the number of source signal types, log 10 () is the logarithm with base 10, T i n Y is the frequency response point of the frequency response curve to be measured corresponding to the nth source signal at the ith frequency, i n It is the frequency response point of the preset normal frequency response curve corresponding to the nth source signal at the ith frequency.

[0070] In the embodiments of the present application, a rigorous calculation formula for the offset factor is provided from a mathematical perspective. The accuracy of the calculated offset factor can be ensured from the rigor of mathematical logic, and the above calculation formula is preferably shown to provide reference, understanding and calculation for technical personnel.

[0071] In addition, by adopting the calculation formula of the offset factor preferably provided in the above-mentioned application to determine the offset factor, the differences of all frequency points between the frequency response curve to be measured and the preset normal frequency response curve can be accurately calculated, which helps to more carefully identify and analyze the changing trend of the winding state; by accurately quantifying the differences of all frequency points, the errors caused by single signal or noise interference can be reduced, thereby improving the overall evaluation accuracy.

[0072] In a feasible implementation, the multiple different source signals in the above embodiment include a sine wave signal, a square wave signal and a triangle wave signal.

[0073] Then, step 130 in the above embodiment, determining the evaluation coefficient according to the offset factors of all source signals, includes:

[0074] Using the formula Determine the evaluation coefficient;

[0075] Among them, δ is the evaluation coefficient, F s is the offset factor corresponding to the sinusoidal signal, F sq is the offset factor corresponding to the square wave signal, F t is the offset factor corresponding to the triangle wave signal.

[0076] In the embodiments of the present application, a rigorous calculation formula for the evaluation coefficient is provided from a mathematical perspective. The accuracy of the calculated evaluation coefficient can be ensured from the rigor of mathematical logic, and the above calculation formula is preferably shown to provide reference, understanding and calculation for technical personnel.

[0077] In addition, by adopting the calculation formula of the evaluation coefficient preferably provided in the above-mentioned application to determine the evaluation coefficient, a more accurate evaluation coefficient can be obtained, so that the system can grasp the detailed state changes of the winding more carefully and accurately, thereby improving the accuracy of the evaluation.

[0078] Furthermore, the present application can detect the status information of the transformer winding from multiple angles by using three different types of signals, namely sinusoidal signals, square wave signals and triangular wave signals, thereby improving the diversity of signals, making the evaluation results more comprehensive and accurate, and reducing the limitations of the single source signal method.

[0079] In a feasible implementation, step 110 in the above embodiment, injecting multiple different source signals into the transformer to be tested respectively, and adjusting the frequency of the injected source signal according to a preset step size within a preset frequency range to obtain a frequency response curve to be tested corresponding to each source signal, includes: injecting the nth source signal into the transformer to be tested, and adjusting the frequency of the nth source signal according to a preset step size within a preset frequency range to obtain a response signal to be tested corresponding to the nth source signal; determining the frequency response curve to be tested corresponding to the nth source signal according to the nth source signal and the corresponding frequency response signal to be tested; wherein n successively takes integers greater than 0 until n is equal to the number of types of source signals, so as to obtain response curves to be tested corresponding to different source signals.

[0080] In the embodiment of the present application, by injecting different source signals one by one, the comprehensiveness, accuracy and flexibility of the entire evaluation process can be enhanced, and the transformer winding state can be comprehensively and accurately evaluated.

[0081] It can be understood that the step-by-step testing method ensures the comprehensive interaction between different signal sources and the transformer windings, which can discover more hidden or complex winding status problems; testing different signals one by one can increase the amount of information in terms of redundancy and cross-validation, and improve the precision of detection, so that it can not only more accurately identify the winding status, but also reduce the false positives or negatives that may be caused by single signal testing.

[0082] In a feasible implementation, the above embodiment injects the nth source signal into the transformer to be tested, and adjusts the frequency of the nth source signal according to a preset step size within a preset frequency range to obtain a response signal to be tested corresponding to the nth source signal, including: connecting a signal generator to the injection end of the transformer to be tested through a coupling capacitor, and connecting an oscilloscope to the response end of the transformer to be tested; controlling the signal generator to generate the nth source signal and inject it into the injection end of the transformer to be tested, and adjusting the frequency of the nth source signal generated by the signal generator according to a preset step size within a preset frequency range, and controlling the oscilloscope to obtain the response signal to be tested corresponding to the nth source signal output from the response end of the transformer to be tested.

[0083] In the embodiment of the present application, by connecting the signal generator to the injection end of the transformer to be tested, the frequency of the injected signal can be accurately controlled, and the effective transmission of the signal can be ensured through the coupling capacitor without distortion due to external interference; by connecting the oscilloscope to the response end of the transformer to be tested, the signal generated by the response of the injected signal inside the transformer can be captured in real time, ensuring that the signal response is instantaneous and accurate, rather than a delayed or distorted signal.

[0084] In addition, this method can also pre-configure the working parameters of the signal generator and oscilloscope, so that the settings can be completed in a shorter time, and fast and effective testing can be performed, thereby improving the efficiency of the overall evaluation work.

[0085] In a feasible implementation, the method of determining the frequency response curve to be measured corresponding to the nth source signal according to the nth source signal and the frequency response signal to be measured corresponding to the nth source signal in the above embodiment includes:

[0086] Using the formula Determine the frequency response curve to be measured corresponding to the nth source signal;

[0087] Among them, T i n is the frequency response point of the frequency response curve to be measured corresponding to the nth source signal at the ith frequency, log 10 () is the logarithm with base 10, is the amplitude of the nth source signal at the ith frequency, is the amplitude of the frequency response curve to be measured corresponding to the nth source signal at the i-th frequency.

[0088] In the embodiments of the present application, a rigorous calculation formula for the frequency response curve to be measured is provided from a mathematical perspective. The accuracy of the calculated frequency response curve to be measured can be ensured from the rigor of mathematical logic, and the above calculation formula is preferably shown to provide reference, understanding and calculation for technical personnel.

[0089] In addition, by adopting the calculation formula of the frequency response curve to be measured provided by the above-mentioned preferred embodiment of the present application to determine the frequency response curve to be measured, the state of the transformer winding can be evaluated more accurately, thereby improving the accuracy of the evaluation.

[0090] Furthermore, the formula of the present application is applicable to the calculation of each frequency point, which can refine the evaluation of the frequency response and accurately quantify the differences of all frequency points, which helps to more carefully identify and analyze the changing trends of the winding state and fully grasp the detailed state changes of the winding.

[0091] In a feasible implementation, step 140 in the above embodiment evaluates the winding state of the transformer to be tested according to the evaluation coefficient, including: when the evaluation coefficient is less than or equal to a preset evaluation threshold, the winding state of the transformer to be tested is evaluated as a better state; when the evaluation coefficient is greater than the preset evaluation threshold, the winding state of the transformer to be tested is evaluated as a worse state.

[0092] The preset evaluation coefficient may be obtained and pre-set by an operator based on a large amount of experience, experiments or statistics.

[0093] In some embodiments, the present application preferably sets the preset evaluation coefficient to 0.15.

[0094] In an embodiment of the present application, by setting a preset evaluation threshold, the evaluation coefficient can be intuitively converted into a qualitative description of the transformer winding state, that is, a better state or a worse state. This qualitative description method can directly reflect the health status of the transformer winding, which is convenient for operators or maintenance personnel to quickly determine whether the transformer winding needs further inspection or maintenance, so as to take timely measures to avoid possible power failures and ensure the safe and stable operation of the power grid.

[0095] In addition, this method is simple, intuitive, easy to understand and implement, and suitable for rapid fault assessment and handling in practical applications.

[0096] In a feasible implementation, the method in the above embodiment further includes: when the winding state of the transformer to be tested is evaluated to be in a poor state, outputting warning information.

[0097] In some embodiments, the output warning information may be in the form of a buzzer, a flashing light, a signal light, or a message.

[0098] In the embodiment of the present application, the safety and operating efficiency of the transformer can be effectively improved by outputting early warning information, thereby ensuring the stability and reliability of the power grid.

[0099] It is understandable that when it is detected that the transformer winding condition is poor, early warning information is output, which can detect potential problems in advance and avoid power supply interruptions caused by winding failures; through timely warnings, the transformer can be quickly repaired or replaced, effectively preventing safety accidents caused by winding failures and ensuring the safe and stable operation of the power grid; discovering problems in advance and taking corresponding measures can reduce the economic losses and social impact caused by winding failures.

[0100] In a second aspect, the present application provides a transformer winding state assessment device.

[0101] See also Figure 2, is a schematic diagram of a transformer winding state evaluation device in an embodiment of the present application, the device 210 includes:

[0102] The injection adjustment module 211 is used to inject a plurality of different source signals into the transformer to be tested, and adjust the frequency of the injected source signal according to a preset step size within a preset frequency range to obtain a frequency response curve to be tested corresponding to each source signal;

[0103] A factor determination module 212, used to determine an offset factor corresponding to each source signal according to a frequency response curve to be tested and a preset normal frequency response curve corresponding to each source signal;

[0104] A coefficient determination module 213, used to determine the evaluation coefficient according to the offset factors of all source signals;

[0105] The evaluation module 214 is used to evaluate the winding state of the transformer to be tested according to the evaluation coefficient.

[0106] In the embodiment of the present application, the related contents of the injection adjustment module 211, the factor determination module 212, the coefficient determination module 213 and the evaluation module 214 can be referred to in Figure 1 The contents in the illustrated embodiment will not be described in detail here.

[0107] It should be noted that the device 210 of the present application also includes some other modules. It can be understood that the method of the present application and the device 210 have a one-to-one correspondence. Therefore, some other modules of the device 210 of the present application are the contents corresponding to the method of the present application in the above-mentioned embodiment.

[0108] In an embodiment of the present application, by injecting a variety of different source signals within a preset frequency range, testing can be performed at different source signal directions and frequencies to provide a comprehensive winding status evaluation. Moreover, since a variety of source signals are combined for test evaluation, the accuracy of the evaluation results can be ensured. In addition, the calculation process of this method is simple, so the winding status of the transformer can be quickly and effectively evaluated.

[0109] In addition, the method of the present application also has the following advantages: by injecting multiple source signals such as sinusoidal signals, square wave signals and triangular wave signals, the status information of the transformer winding can be detected from multiple angles, the signal diversity in the evaluation is improved, the evaluation results are more comprehensive, and the limitations brought by the single signal method are reduced; by combining multiple signals, different injection signals can provide additional information to assist in filtering out noise, effectively enhance the resistance to noise, and can more accurately identify anomalies or faults and reduce the false alarm rate; by using multiple signals, the subtle changes in the transformer winding can be captured more finely, and the health status of the winding can be comprehensively evaluated, thereby improving the accuracy of the evaluation.

[0110] In a third aspect, the present application further provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, the processor executes a transformer winding state assessment method in the above method embodiment.

[0111] In a fourth aspect, 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 executes a transformer winding state assessment method in the above method embodiment.

[0112] Figure 3 The internal structure diagram of a computer device in some embodiments is shown. The computer device may be a terminal, a server, or a gateway. Figure 3 As shown, the computer device includes a processor, a memory and a network interface connected through a system bus.

[0113] The memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system and may also store a computer program. When the computer program is executed by the processor, the processor can implement each step in the above method embodiment. The internal memory may also store a computer program. When the computer program is executed by the processor, the processor can implement each step in the above method embodiment. Those skilled in the art can understand that Figure 3 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0114] A person skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing related 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.

[0115] Among them, any reference to memory, storage, database or other media used in the embodiments provided in the present application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an 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 (Synch li nk) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0116] The technical features of the above embodiments may 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.

[0117] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for evaluating transformer winding status, characterized in that: The method comprises: Injecting a plurality of different source signals into the transformer to be tested respectively, and adjusting the frequency of the injected source signal according to a preset step length within a preset frequency range to obtain a frequency response curve to be tested corresponding to each source signal; Determine the offset factor corresponding to each source signal according to the frequency response curve to be tested and the preset normal frequency response curve corresponding to each source signal; determining an evaluation coefficient based on the offset factors of all source signals; The winding state of the transformer to be tested is evaluated according to the evaluation coefficient.

2. The method according to claim 1, characterized in that The step of determining the offset factor corresponding to each source signal according to the frequency response curve to be measured and the preset normal frequency response curve corresponding to each source signal includes: Using the formula Determine the offset factor corresponding to each source signal; Among them, F n is the offset factor corresponding to the nth source signal, I is the number of source signal types, log 10 () is the logarithm with base 10, T i n Y is the frequency response point of the frequency response curve to be measured corresponding to the nth source signal at the ith frequency, i n It is the frequency response point of the preset normal frequency response curve corresponding to the nth source signal at the ith frequency.

3. The method according to claim 1, characterized in that A variety of different source signals include sine signals, square wave signals and triangle wave signals. The evaluation coefficients are determined according to the offset factors of all source signals, including: Using the formula determining the evaluation coefficient; Wherein, δ is the evaluation coefficient, F s is the offset factor corresponding to the sinusoidal signal, F sq is the offset factor corresponding to the square wave signal, F t is the offset factor corresponding to the triangular wave signal.

4. The method according to claim 1, characterized in that: The method of injecting a plurality of different source signals into the transformer to be tested respectively, and adjusting the frequency of the injected source signal according to a preset step length within a preset frequency range to obtain a frequency response curve to be tested corresponding to each source signal, includes: Injecting the nth source signal into the transformer to be tested, and adjusting the frequency of the nth source signal according to the preset step size within the preset frequency range to obtain a response signal to be tested corresponding to the nth source signal; Determine a frequency response curve to be measured corresponding to the nth source signal according to the nth source signal and the corresponding frequency response signal to be measured; Among them, n successively takes integers greater than 0 until n is equal to the number of types of source signals, so as to obtain the response curves to be tested corresponding to different source signals.

5. The method according to claim 4, characterized in that The step of injecting the nth source signal into the transformer to be tested, and adjusting the frequency of the nth source signal according to the preset step length within the preset frequency range to obtain the response signal to be tested corresponding to the nth source signal, comprises: Connecting a signal generator to the injection terminal of the transformer to be tested via a coupling capacitor, and connecting an oscilloscope to the response terminal of the transformer to be tested; The signal generator is controlled to generate an nth source signal and injected into the injection end of the transformer to be tested, and within the preset frequency range, the frequency of the nth source signal generated by the signal generator is adjusted according to the preset step size, and the oscilloscope is controlled to obtain a response signal to be tested corresponding to the nth source signal outputted from the response end of the transformer to be tested.

6. The method according to claim 4, characterized in that The method of determining the frequency response curve to be measured corresponding to the nth source signal according to the nth source signal and the frequency response signal to be measured corresponding to the nth source signal comprises: Using the formula Determine the frequency response curve to be measured corresponding to the nth source signal; Among them, T i n is the frequency response point of the frequency response curve to be measured corresponding to the nth source signal at the ith frequency, log 10 () is the logarithm with base 10, is the amplitude of the nth source signal at the ith frequency, is the amplitude of the frequency response curve to be measured corresponding to the nth source signal at the i-th frequency.

7. The method according to claim 1, characterized in that The step of evaluating the winding state of the transformer to be tested according to the evaluation coefficient includes: When the evaluation coefficient is less than or equal to a preset evaluation threshold, evaluating the winding state of the transformer to be tested as a good state; When the evaluation coefficient is greater than the preset evaluation threshold, the winding state of the transformer to be tested is evaluated as a poor state.

8. The method according to claim 7, characterized in that The method further comprises: When the winding state of the transformer to be tested is evaluated to be in a poor state, an early warning message is output.

9. A computer-readable storage medium, characterized in that: A computer program is stored, and when the computer program is executed by a processor, the processor is caused to perform the method according to any one of claims 1 to 8.

10. A computer device, characterized in that: The method comprises 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 method according to any one of claims 1 to 8.

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