Method and device for online detection of turn-to-turn short circuit fault of high-voltage reactor based on transient harmonic waves of power system

Abstract

The invention relates to an online detection method and device for a turn-to-turn short circuit fault of a high-voltage reactor based on transient harmonics of a power system, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring a transient harmonic signal of an excitation side and a transient harmonic signal of a response side of a detected high-voltage reactor on line; under the condition that the transient harmonic signal of the excitation side and the transient harmonic signal of the response side are out of a preset operation range, obtaining a measured transfer function curve represented by a voltage ratio according to the spectral characteristics corresponding to the transient harmonic signal of the excitation side and the transient harmonic signal of the response side respectively; according to a preset statistical index, comparing the measured transfer function curve with a reference transfer function curve represented by the voltage ratio to obtain statistical index data; and determining a fault online detection result of the detected high-voltage reactor according to the statistical index data. By adopting the method, the detection precision of the online detection method for the turn-to-turn short circuit fault of the reactor can be improved.

Description

Technical Field

[0001] The present application relates to the field of electric power technology, and in particular to an online detection method, device, computer equipment, computer-readable storage medium and computer program product for high-voltage reactor turn-to-turn short-circuit faults based on transient harmonics of an electric power system. Background Art

[0002] As the quality of life of the people continues to improve, in order to maintain the stability of power grid operation, the use of reactors is becoming more and more widespread in power systems. High-voltage reactors play a key role in power systems due to their structural characteristics. Their main applications include voltage regulation, reactive power compensation, overvoltage suppression and system stability improvement. High-voltage reactors have been increasingly widely used in power systems and are an extremely important part of power systems. However, a large number of high-voltage reactors have exceeded their expected rated life but are still in use. High-voltage reactors are prone to defects such as turn-to-turn short circuits. If the fault cannot be effectively detected and removed in time, it will catch fire in a short time, causing equipment failure and shutdown or even burning, which poses a major risk to public utilities.

[0003] In the related art, the main technologies for detecting the status of high-voltage reactors include magnetic field distribution method, vibration analysis method, electrical characteristic analysis method, current imbalance analysis method, pulse frequency response method, etc. However, the sensitivity of these turn-to-turn short-circuit fault detection methods is poor, and they cannot detect the initial turn-to-turn short-circuit condition of the high-voltage reactor in a timely and accurate manner. Among them, the existing pulse frequency response method can only be applied when the reactor is in an offline state when detecting the reactor status; secondly, it is currently only used for medium and low voltage reactors, and it is difficult to directly apply it to reactors with high-voltage bushings. Therefore, the reactor turn-to-turn short-circuit fault detection method in the related art has the problem of poor detection accuracy. Summary of the invention

[0004] Based on this, it is necessary to provide an online detection method, device, computer equipment, computer-readable storage medium and computer program product for high-voltage reactor turn-to-turn short-circuit faults based on power system transient harmonics, which can improve the detection accuracy of the reactor turn-to-turn short-circuit fault detection method, in order to solve the above-mentioned technical problems.

[0005] In a first aspect, the present application provides an online detection method for high-voltage reactor turn-to-turn short-circuit fault based on power system transient harmonics, comprising:

[0006] The transient harmonic signal of the excitation side and the transient harmonic signal of the response side of the high-voltage reactor under test are obtained online; the transient harmonic signal is a harmonic voltage signal; the transient harmonic signal is collected in real time by a sensor in a voltage measuring device installed on the high-voltage bushing of the high-voltage reactor under test;

[0007] When the transient harmonic signal on the excitation side and the transient harmonic signal on the response side are outside the preset operating range, a measured transfer function curve represented by a voltage ratio is obtained according to the frequency spectrum characteristics respectively corresponding to the transient harmonic signal on the excitation side and the transient harmonic signal on the response side;

[0008] According to preset statistical indicators, the measured transfer function curve is compared with a reference transfer function curve represented by a voltage ratio to obtain statistical indicator data; the statistical indicator data is used to characterize the similarity between the measured transfer function curve and the reference transfer function curve; the statistical indicators include first-category indicators and second-category indicators; the statistical indicator data corresponding to the first-category indicators are extracted from the amplitude vector of the transfer function curve; the statistical indicator data corresponding to the second-category indicators are obtained based on the resonance point and anti-resonance point of the transfer function curve;

[0009] The online fault detection result of the high-voltage reactor under test is determined according to the statistical indicator data.

[0010] In one embodiment, obtaining the measured transfer function curve represented by the voltage ratio according to the frequency spectrum characteristics corresponding to the transient harmonic signal on the excitation side and the transient harmonic signal on the response side respectively includes:

[0011] Filtering low-frequency components in the transient harmonic signal on the excitation side and the transient harmonic signal on the response side by using a wavelet transform algorithm to obtain a filtered transient harmonic signal on the excitation side and a filtered transient harmonic signal on the response side;

[0012] The filtered transient harmonic signal on the excitation side and the filtered transient harmonic signal on the response side are respectively subjected to fast Fourier transform to obtain the frequency spectrum characteristics corresponding to the transient harmonic signal on the excitation side and the transient harmonic signal on the response side.

[0013] In one embodiment, the measured transfer function curve is compared with a reference transfer function curve represented by a voltage ratio according to a preset statistical index to obtain statistical index data, including:

[0014] Extracting characteristic quantities from the measured transfer function curve to obtain the measured characteristic quantities;

[0015] Extracting characteristic quantities from the reference transfer function curve to obtain reference characteristic quantities;

[0016] According to the preset statistical index, the measured feature quantity and the reference feature quantity are compared to obtain the statistical index data.

[0017] In one embodiment, the characteristic quantity includes at least one of the number of peaks and troughs of the transfer function curve, the resonance point frequency of the peaks and troughs of the transfer function curve, the amplitude of the peaks and troughs of the transfer function curve, and the shape of the transfer function curve.

[0018] In one embodiment, the comparing the measured characteristic quantity with the reference characteristic quantity according to the preset statistical indicator to obtain the statistical indicator data includes:

[0019] According to the preset data comparison operation rules corresponding to the statistical indicators, the variation range of the measured characteristic quantity relative to the reference characteristic quantity is determined to obtain the variation range of the characteristic quantity corresponding to each statistical indicator;

[0020] The statistical indicator data is obtained according to the variation range of the characteristic quantity corresponding to each statistical indicator.

[0021] In one of the embodiments, determining the online fault detection result of the high-voltage reactor under test according to the statistical indicator data includes:

[0022] Obtaining a target mapping relationship; the target mapping relationship is used to characterize the mapping relationship between the characteristic quantity change amplitude value and the fault degree;

[0023] According to the target mapping relationship, the fault degree corresponding to the numerical value of the characteristic quantity change amplitude is determined as the fault degree of the measured high-voltage reactor.

[0024] In a second aspect, the present application also provides an online detection device for high-voltage reactor turn-to-turn short-circuit fault based on power system transient harmonics, comprising:

[0025] A signal acquisition module is used to acquire online the transient harmonic signal of the excitation side and the transient harmonic signal of the response side of the high-voltage reactor under test; the transient harmonic signal is a harmonic voltage signal; the transient harmonic signal is acquired in real time by a sensor in a voltage measuring device installed on the high-voltage bushing of the high-voltage reactor under test;

[0026] A function curve acquisition module, used for obtaining a measured transfer function curve represented by a voltage ratio according to the frequency spectrum characteristics respectively corresponding to the transient harmonic signal on the excitation side and the transient harmonic signal on the response side when the transient harmonic signal on the excitation side and the transient harmonic signal on the response side are outside a preset operating range;

[0027] A comparison module, used for comparing the measured transfer function curve with a reference transfer function curve represented by a voltage ratio according to preset statistical indicators to obtain statistical indicator data; the statistical indicator data is used to characterize the similarity between the measured transfer function curve and the reference transfer function curve; the statistical indicators include first-category indicators and second-category indicators; the statistical indicator data corresponding to the first-category indicators are extracted from the amplitude vector of the transfer function curve; the statistical indicator data corresponding to the second-category indicators are obtained based on the resonance point and anti-resonance point of the transfer function curve;

[0028] A determination module is used to determine the online fault detection result of the tested high-voltage reactor according to the statistical indicator data.

[0029] In a third aspect, the present application further provides a computer device, wherein the computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the steps of the above method are implemented.

[0030] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the steps of the above method when executed by a processor.

[0031] In a fifth aspect, the present application further provides a computer program product, wherein the computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0032] The above-mentioned method, device, computer equipment, computer-readable storage medium and computer program product for online detection of high-voltage reactor turn-to-turn short-circuit faults based on transient harmonics of the power system are obtained online by obtaining the transient harmonic signal of the excitation side and the transient harmonic signal of the response side of the high-voltage reactor under test; the transient harmonic signal is a harmonic voltage signal; the transient harmonic signal is collected in real time by a sensor in a voltage measuring device installed on the high-voltage bushing of the high-voltage reactor under test; when the transient harmonic signal on the excitation side and the transient harmonic signal on the response side are outside the preset operating range, the transient harmonic signal on the excitation side and the transient harmonic signal on the response side are respectively corresponding to the transient harmonic signal on the excitation side and the transient harmonic signal on the response side. The measured transfer function curve represented by the voltage ratio is obtained according to the frequency spectrum characteristics; the measured transfer function curve is compared with the reference transfer function curve represented by the voltage ratio according to the preset statistical indicators to obtain the statistical indicator data; the statistical indicator data is used to characterize the similarity between the measured transfer function curve and the reference transfer function curve; the statistical indicators include the first type of indicators and the second type of indicators; the statistical indicator data corresponding to the first type of indicators are extracted from the amplitude vector of the transfer function curve; the statistical indicator data corresponding to the second type of indicators are obtained based on the resonance point and anti-resonance point of the transfer function curve; according to the statistical indicator data, the online fault detection result of the measured high-voltage reactor is determined.

[0033] In this way, during the operation of the reactor, operational overvoltage may be generated due to operations such as switch switching in the power system, and lightning overvoltage may also occur when lightning invades the substation. In addition, there are some discharge and insulation defects in the power system. The above situations may cause the voltage at the inlet of the reactor to have high-frequency harmonic components, which will propagate inside the reactor and a harmonic-rich response signal will appear on the other side. Therefore, when the transient harmonic signals appearing at both ends of the reactor: the transient harmonic signal on the excitation side and the transient harmonic signal on the response side are outside the preset operating range, the transient harmonic signal on the excitation side and the transient harmonic signal on the response side are subjected to spectrum analysis, and a wide-band voltage ratio response curve can be obtained based on the rich high-frequency harmonic components, that is, a measured transfer function curve represented by the voltage ratio, and then the measured transfer function curve is compared with the reference transfer function curve through preset statistical indicators to obtain statistical indicator data for characterizing the similarity between the measured transfer function curve and the reference transfer function curve, wherein the statistical indicators include first-category indicators and second-category indicators; the statistical indicator data corresponding to the first-category indicators are extracted from the amplitude vector of the transfer function curve; the statistical indicator data corresponding to the second-category indicators are obtained based on the resonance point and anti-resonance point of the transfer function curve, and therefore the inter-turn short-circuit fault of the high-voltage reactor can be accurately determined according to the frequency characteristics and amplitude characteristics of the transfer function curve through the statistical indicator data, so that the short-circuit fault can be detected by constructing the transfer function curve without the need for an external excitation source. Due to the wide-band characteristics, this method has high sensitivity and can accurately judge the working status of the reactor, realize precise monitoring of turn-to-turn short-circuit faults, and can monitor turn-to-turn short-circuit faults of high-voltage reactors online. It has the potential to detect turn-to-turn short-circuit faults in the early stage of reactor failure, and timely feedback on the working status of the high-voltage reactor, realize monitoring of power equipment, and enhance the power system's control capabilities over important power equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0035] Figure 1 It is a flow chart of an online detection method of a high-voltage reactor turn-to-turn short-circuit fault based on transient harmonics of a power system in one embodiment;

[0036] Figure 2 A schematic diagram of a voltage divider low voltage arm and a matching part of a voltage measuring device in one embodiment;

[0037] Figure 3It is a wiring diagram of the arrangement of the bushing capacitive coupling sensor (voltage divider high voltage arm) and the performance test of the capacitive voltage divider in one embodiment;

[0038] Figure 4 A diagram showing a square wave response test result of a voltage divider in one embodiment;

[0039] Figure 5 A schematic diagram of comparison between a measured transfer function curve and a reference transfer function curve of a tested high-voltage reactor having a fault in one embodiment;

[0040] Figure 6 It is a flow chart of an online detection method of a high-voltage reactor turn-to-turn short-circuit fault based on transient harmonics of a power system in another embodiment;

[0041] Figure 7 The hardware framework diagram of an online detection system for high-voltage reactor turn-to-turn short-circuit fault based on transient harmonics of a power system in one embodiment;

[0042] Figure 8 A schematic diagram of an online detection page for a high-voltage reactor turn-to-turn short-circuit fault in one embodiment;

[0043] Fig. 9 It is a structural block diagram of an online detection device for high-voltage reactor turn-to-turn short-circuit fault based on transient harmonics of a power system in one embodiment;

[0044] FIG. 10 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0045] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0046] It should be noted that the terms "first", "second", etc. in the specification and claims of the present disclosure and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present disclosure described herein can be implemented in an order other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0047] In one embodiment, Figure 1As shown, a method for online detection of high-voltage reactor turn-to-turn short-circuit faults based on transient harmonics of a power system is provided. This embodiment uses the method applied to a computer device as an example. It can be understood that the computer device can be a terminal, a server, or a system including a terminal and a server. In this embodiment, the method includes the following steps:

[0048] Step S110, online acquiring transient harmonic signals on the excitation side and the response side of the high-voltage reactor under test.

[0049] Among them, the transient harmonic signal is the harmonic voltage signal existing in the power system itself.

[0050] The high-voltage reactor under test is a high-voltage reactor used for online fault detection.

[0051] The transient harmonic signal is collected in real time by a sensor in a voltage measuring device installed on the high-voltage bushing of the high-voltage reactor under test.

[0052] In a specific implementation, the computer device can obtain the transient harmonic signal on the excitation side and the transient harmonic signal on the response side of the high-voltage reactor under test, and the transient harmonic signal is a harmonic voltage signal. Therefore, the transient harmonic signal on the excitation side can be named as the excitation harmonic voltage signal, and the transient harmonic signal on the response side can be named as the response harmonic voltage signal.

[0053] Among them, a voltage measuring device can be installed on the outer insulation layer of the bushing near the flange of the bushing end screen of the high-voltage reactor under test (for example, the voltage measuring device can be installed on the outer insulation layer of the bushing at a preset distance from the flange). During the operation of the high-voltage reactor under test, the sensor is used to capture in real time the transient harmonic signal on the excitation side of the high-voltage reactor under test and the transient harmonic signal on the response side of the other end, so that the computer equipment can obtain the transient harmonic signal on the excitation side and the transient harmonic signal on the response side of the high-voltage reactor under test.

[0054] Furthermore, the computer device may include a signal acquisition unit and a data storage unit, and the signal acquisition unit and the data storage unit are used to acquire and store transient harmonic signals, respectively.

[0055] In practical applications, the voltage measuring device is mainly a capacitive voltage divider, including a high-voltage arm part composed of a bushing coupling capacitor sensor and an external low-voltage arm part; the coupling capacitor sensor is in the shape of a thin metal strip, which wraps the outer insulation layer of the bushing arranged near the flange at the end screen of the reactor bushing; the high-voltage reactor bushing is a capacitive bushing, and the coupling capacitor sensor and the internal guide rod of the reactor bushing form a stable capacitor, which constitutes the high-voltage arm part of the voltage measuring device; the low-voltage arm part of the voltage measuring device is composed of an external capacitor, and the capacitor of the low-voltage arm part is composed of several capacitors of the same model arranged coaxially.

[0056] In some embodiments, a high-voltage shunt reactor with a rated voltage of 750kV and a capacity of 700kvar is used as the high-voltage reactor to be measured. During the operation of the reactor, a voltage measuring device is used to capture transient harmonics. The coupling capacitor sensor is a thin metal strip that wraps around the outer insulation layer of the reactor bushing located near the flange at the end screen of the reactor bushing; the reactor bushing is a capacitive bushing, and the bushing coupling capacitor sensor forms a stable coupling capacitor with the bushing center guide rod and the internal medium, forming the high-voltage arm part of the voltage measuring device; the low-voltage arm part of the voltage measuring device is composed of external capacitors. In order to reduce the inductance introduced into the measurement loop, the capacitor of the low-voltage arm part is composed of several capacitors of the same model arranged coaxially, such as Figure 2 As shown, C s1 is the low voltage arm capacitor, R1 and R2 are the matching resistors at the beginning and end of the cable, C s2 is the integral capacitor. According to the capacitance of the high-voltage side and neutral point bushing coupling capacitor sensor of the high-voltage shunt reactor obtained by simulation, the corresponding low-voltage arm capacitance of the capacitive voltage divider is designed. In order to test the working performance of the capacitive voltage divider, a test platform is built for testing. The experimental measurement wiring is as follows Figure 3 As shown, the test waveform is as follows Figure 4 As shown in the figure, the test results are explained by taking the 110 kV bushing voltage measurement device as an example. The test shows that the capacitive voltage divider can well restore the pulse voltage waveform input by the pulse generator, the response time is ≤50 ns, and the voltage division ratio is about 10231. In addition, in this example, the voltage measurement device is connected to the preprocessing circuit and the acquisition card. The preprocessing circuit is a general operational amplifier circuit of model LM741 and an RLC high-pass filter circuit. The general operational amplifier circuit is used to increase the amplitude of the output signal of the voltage measurement device to adapt to subsequent processing and conversion, and the RLC high-pass filter circuit is used to remove the low-frequency interference components in the harmonic signal. In this example, the acquisition card has no less than 6 analog input channels, 16-bit resolution, and a maximum sampling rate of 10 MS / s.

[0057] Step S120, when the transient harmonic signal on the excitation side and the transient harmonic signal on the response side are outside the preset operating range, a measured transfer function curve represented by a voltage ratio is obtained according to the frequency spectrum characteristics corresponding to the transient harmonic signal on the excitation side and the transient harmonic signal on the response side respectively.

[0058] The preset operating range may be a preset normal operating range of the reactor.

[0059] In a specific implementation, the computer device can judge the transient harmonic signals on both sides of the reactor collected in real time. When the transient harmonic signal on the excitation side and the transient harmonic signal on the response side are outside the preset operating range, the measured transfer function curve represented by the voltage ratio is obtained according to the frequency spectrum characteristics corresponding to the transient harmonic signal on the excitation side and the transient harmonic signal on the response side.

[0060] Among them, when the transient harmonic signal on the excitation side and the transient harmonic signal on the response side are within the preset operating range, the transient harmonic signal is not processed, and the step of collecting the transient harmonic signal on the excitation side and the transient harmonic signal on the response side of the high-voltage reactor under test is returned.

[0061] Among them, in the process of obtaining the measured transfer function curve represented by the voltage ratio according to the spectral characteristics corresponding to the transient harmonic signal on the excitation side and the transient harmonic signal on the response side, the computer equipment can filter out the low-frequency components in the transient harmonic signal on the excitation side and the transient harmonic signal on the response side through the wavelet transform algorithm to obtain the filtered transient harmonic signal on the excitation side and the filtered transient harmonic signal on the response side; and perform fast Fourier transform on the filtered transient harmonic signal on the excitation side and the filtered transient harmonic signal on the response side to obtain the spectral characteristics corresponding to the transient harmonic signal on the excitation side and the transient harmonic signal on the response side.

[0062] Specifically, since the collected transient harmonic signal in the time domain also contains the part at the power frequency of the reactor, as well as various interference noises on site, it is necessary to preprocess it to provide reliable analysis data for the subsequent turn-to-turn short-circuit fault analysis. Therefore, the low-frequency component can be filtered out by the wavelet algorithm, and the spectrum characteristics can be obtained by the fast Fourier transform algorithm.

[0063] Among them, wavelet transform denoising is a technology that uses wavelet transform algorithm to filter out low-frequency components of the signal. Its basic process includes wavelet decomposition of the signal, threshold processing and wavelet reconstruction of the signal. The specific step formula is as follows:

[0064] 1) Wavelet decomposition: transform the noisy signal Through wavelet transform, it is decomposed into several levels of wavelet coefficients. represents the wavelet coefficients, The scale is , translated to The mother wavelet, represents complex conjugate.

[0065] ;

[0066] 2) Threshold processing: Threshold processing is performed on the wavelet coefficients to remove noise. Common threshold processing methods include soft threshold and hard threshold. Soft threshold denoising is used, where is the threshold. Soft threshold processing: reduce the wavelet coefficients to:

[0067] ;

[0068] 3) Wavelet reconstruction: The wavelet coefficients after threshold processing are reconstructed into denoised signals through inverse wavelet transform.

[0069] ;

[0070] Fast Fourier transform can be used to convert time domain signals into frequency domain signals, thereby obtaining the spectral characteristics of the signal. Its mathematical formula is as follows:

[0071] ;

[0072] ;

[0073] ;

[0074] In the formula, It represents the transient harmonic signal collected on the excitation side. is the transient harmonic signal collected on the response side, yes The fast Fourier transform of yes The fast Fourier transform of is the measured transfer function curve.

[0075] Step S130 , comparing the measured transfer function curve with a reference transfer function curve represented by a voltage ratio according to a preset statistical index, to obtain statistical index data.

[0076] The reference transfer function curve refers to the transfer function curve of the reactor under normal conditions, and the reference transfer function curve is the transfer function curve obtained by experimental measurement under normal conditions of the reactor.

[0077] The statistical index data is used to characterize the similarity between the measured transfer function curve and the reference transfer function curve.

[0078] Among them, statistical indicators include first-category indicators and second-category indicators.

[0079] Among them, the statistical indicator data corresponding to the first type of indicators are extracted from the amplitude vector of the transfer function curve.

[0080] Among them, the statistical indicator data corresponding to the second type of indicators are obtained based on the resonance point and anti-resonance point of the transfer function curve.

[0081] Among them, the computer equipment can use the similarity coefficient method to compare the measured transfer function curve with the reference transfer function curve represented by the voltage ratio through preset statistical indicators, and detect possible inter-turn short circuit faults by analyzing the changes in the peak and valley values ​​of the transfer function curve.

[0082] In which, when the computer device compares the measured transfer function curve with the reference transfer function curve represented by the voltage ratio according to the preset statistical indicators to obtain the statistical indicator data, the computer device can extract the characteristic quantity in the measured transfer function curve to obtain the measured characteristic quantity; extract the characteristic quantity in the reference transfer function curve to obtain the reference characteristic quantity, and compare the measured characteristic quantity with the reference characteristic quantity according to the preset statistical indicators to obtain the statistical indicator data.

[0083] The characteristic quantity includes at least one of the number of peaks and troughs of the transfer function curve, the resonance point frequency of the peaks and troughs of the transfer function curve, the amplitude of the peaks and troughs of the transfer function curve, and the shape of the transfer function curve.

[0084] In this way, in the process of comparing the measured characteristic quantity and the benchmark characteristic quantity according to preset statistical indicators, the quantitative variables (increase or decrease) of the peaks and troughs of the measured transfer function curve relative to the benchmark transfer function curve, the changes in the resonance point frequency of the peaks and troughs, the changes in the amplitudes of the peaks and troughs, and the changes in the shape, etc., can be determined. Therefore, it is possible to judge whether a turn-to-turn short-circuit fault occurs in the reactor winding based on the changes in the transfer function curve, thereby realizing online monitoring and detecting and judging the fault location and degree of the high-voltage reactor.

[0085] In the process of comparing the characteristic quantities, a similarity coefficient method is used to obtain statistical index data for characterizing the similarity between the measured transfer function curve and the reference transfer function curve, thereby realizing fault detection.

[0086] Among them, in the process of comparing the measured feature quantity and the benchmark feature quantity according to the preset statistical indicator to obtain the statistical indicator data, the change range of the measured feature quantity relative to the benchmark feature quantity can be determined according to the data comparison operation rules corresponding to the preset statistical indicator to obtain the feature quantity change range corresponding to each statistical indicator; according to the feature quantity change range corresponding to each statistical indicator, the statistical indicator data is obtained.

[0087] The preset statistical indicators may include at least one of Euclidean distance, amplitude function, frequency function and average frequency function. The data comparison operation rules corresponding to the statistical indicators are as follows:

[0088] ;

[0089] in, is the Euclidean distance, represents the amplitude sequence of the reference transfer function curve, It represents the amplitude sequence of the measured transfer function curve, and N represents the sequence length.

[0090] ;

[0091] in, represents the amplitude function, Represents the peak-to-valley amplitude sequence of the reference transfer function curve (a sequence of peak and trough amplitudes), represents the peak-to-valley amplitude sequence of the measured transfer function curve, and N represents the sequence length. Through this formula, the change amplitude of the peak and trough amplitude of the measured transfer function curve relative to the reference transfer function curve can be calculated, and the change amplitude of the characteristic quantity corresponding to the statistical indicator of the amplitude function can be obtained.

[0092] ;

[0093] ;

[0094] in, represents the average frequency function, represents the frequency function, Represents the peak-valley resonance point frequency sequence of the reference transfer function curve (a sequence consisting of the resonance point frequencies of the peaks and valleys), represents the peak-valley resonance point frequency sequence of the measured transfer function curve, and N represents the sequence length. Through the above two formulas, the change amplitude of the resonance point frequency of the peak and trough of the measured transfer function curve relative to the reference transfer function curve can be calculated, and the change amplitude of the characteristic quantity corresponding to the two statistical indicators of the average frequency function and the frequency function can be obtained.

[0095] In this way, the statistical indicator data can be obtained according to the variation range of the characteristic quantity corresponding to each statistical indicator. That is, the statistical indicator data includes the variation range of the characteristic quantity corresponding to each statistical indicator.

[0096] Step S140, determining the online fault detection result of the high-voltage reactor under test according to the statistical indicator data.

[0097] In some embodiments, in the process of determining the online fault detection result of the high-voltage reactor under test based on statistical indicator data, the computer device can obtain a target mapping relationship; the target mapping relationship is used to characterize the mapping relationship between the characteristic quantity change amplitude value and the fault degree; the computer device can determine the fault degree corresponding to the numerical value of the characteristic quantity change amplitude according to the target mapping relationship, as the fault degree of the high-voltage reactor under test, and thus, the online fault detection result can be obtained based on the fault degree of the high-voltage reactor under test.

[0098] Among them, the degree of failure can be classified into normal working state, minor failure, moderate failure and severe failure.

[0099] In order to facilitate the understanding of those skilled in the art, Figure 5 A schematic diagram of comparing a measured transfer function curve of a tested high-voltage reactor that has a fault and a reference transfer function curve (before the fault) is provided.

[0100] In the above-mentioned online detection method for inter-turn short-circuit fault of high-voltage reactor based on transient harmonics of power system, the transient harmonic signal of the excitation side and the transient harmonic signal of the response side of the high-voltage reactor under test are obtained online; the transient harmonic signal is a harmonic voltage signal; the transient harmonic signal is collected in real time by the sensor in the voltage measuring device installed on the high-voltage bushing of the high-voltage reactor under test; when the transient harmonic signal on the excitation side and the transient harmonic signal on the response side are outside the preset operating range, the voltage ratio represented by the transient harmonic signal on the excitation side and the transient harmonic signal on the response side are obtained according to the frequency spectrum characteristics corresponding to the transient harmonic signal on the excitation side and the transient harmonic signal on the response side respectively. The measured transfer function curve; according to preset statistical indicators, the measured transfer function curve is compared with the reference transfer function curve represented by the voltage ratio to obtain statistical indicator data; the statistical indicator data is used to characterize the similarity between the measured transfer function curve and the reference transfer function curve; the statistical indicators include first-category indicators and second-category indicators; the statistical indicator data corresponding to the first-category indicators are extracted from the amplitude vector of the transfer function curve; the statistical indicator data corresponding to the second-category indicators are obtained based on the resonance point and anti-resonance point of the transfer function curve; according to the statistical indicator data, the online fault detection result of the measured high-voltage reactor is determined.

[0101] In this way, during the operation of the reactor, operational overvoltage may be generated due to operations such as switch switching in the power system, and lightning overvoltage may also occur when lightning invades the substation. In addition, there are some discharge and insulation defects in the power system. The above situations may cause the voltage at the inlet of the reactor to have high-frequency harmonic components, which will propagate inside the reactor and a harmonic-rich response signal will appear on the other side. Therefore, when the transient harmonic signals appearing at both ends of the reactor: the transient harmonic signal on the excitation side and the transient harmonic signal on the response side are outside the preset operating range, the transient harmonic signal on the excitation side and the transient harmonic signal on the response side are subjected to spectrum analysis, and a wide-band voltage ratio response curve can be obtained based on the rich high-frequency harmonic components, that is, a measured transfer function curve represented by the voltage ratio, and then the measured transfer function curve is compared with the reference transfer function curve through preset statistical indicators to obtain statistical indicator data for characterizing the similarity between the measured transfer function curve and the reference transfer function curve, wherein the statistical indicators include first-category indicators and second-category indicators; the statistical indicator data corresponding to the first-category indicators are extracted from the amplitude vector of the transfer function curve; the statistical indicator data corresponding to the second-category indicators are obtained based on the resonance point and anti-resonance point of the transfer function curve, and therefore the inter-turn short-circuit fault of the high-voltage reactor can be accurately determined according to the frequency characteristics and amplitude characteristics of the transfer function curve through the statistical indicator data, so that the short-circuit fault can be detected by constructing the transfer function curve without the need for an external excitation source. Due to the wide-band characteristics, this method has high sensitivity and can accurately judge the working status of the reactor, realize precise monitoring of turn-to-turn short-circuit faults, and can monitor turn-to-turn short-circuit faults of high-voltage reactors online. It has the potential to detect turn-to-turn short-circuit faults in the early stage of reactor failure, and timely feedback on the working status of the high-voltage reactor, realize monitoring of power equipment, and enhance the power system's control capabilities over important power equipment.

[0102] In another embodiment, Figure 6 As shown, a method for online detection of high-voltage reactor turn-to-turn short-circuit faults based on transient harmonics of a power system is provided. The method is described by taking the application of the method to a computer device as an example, and includes the following steps:

[0103] Step S602, online acquisition of transient harmonic signals on the excitation side and the response side of the high-voltage reactor under test.

[0104] Step S604, when the transient harmonic signal on the excitation side and the transient harmonic signal on the response side are outside the preset operating range, the low-frequency components in the transient harmonic signal on the excitation side and the transient harmonic signal on the response side are filtered out by a wavelet transform algorithm to obtain the filtered transient harmonic signal on the excitation side and the filtered transient harmonic signal on the response side.

[0105] Step S606 , performing fast Fourier transform on the filtered transient harmonic signal on the excitation side and the filtered transient harmonic signal on the response side, respectively, to obtain frequency spectrum characteristics corresponding to the transient harmonic signal on the excitation side and the transient harmonic signal on the response side, respectively.

[0106] Step S608, obtaining a measured transfer function curve represented by a voltage ratio according to the frequency spectrum characteristics corresponding to the transient harmonic signal on the excitation side and the transient harmonic signal on the response side.

[0107] Step S610, extracting the characteristic quantity in the measured transfer function curve to obtain the measured characteristic quantity; extracting the characteristic quantity in the reference transfer function curve to obtain the reference characteristic quantity.

[0108] Step S612, according to the data comparison operation rules corresponding to the preset statistical indicators, determine the change range of the measured feature quantity relative to the reference feature quantity, and obtain the feature quantity change range corresponding to each statistical indicator.

[0109] Step S614, obtaining statistical indicator data according to the variation range of the characteristic quantity corresponding to each statistical indicator.

[0110] Step S616, determining the online fault detection result of the high-voltage reactor under test according to the statistical indicator data.

[0111] It should be noted that the specific limitations of the above steps can refer to the specific limitations of the above-mentioned method for online detection of high-voltage reactor turn-to-turn short-circuit faults based on transient harmonics of a power system.

[0112] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0113] In another embodiment, if Figure 7 As shown, taking computer equipment as an example, a hardware framework diagram of an online detection system for high-voltage reactor turn-to-turn short-circuit fault based on transient harmonics of a power system is provided. The system is connected to the high-voltage reactor under test. The system includes: a signal acquisition unit, a signal processing unit, a data storage unit and a human-machine interface unit. Among them:

[0114] The signal acquisition unit is used to collect transient harmonic signals on the excitation side and the response side of the high-voltage reactor under test during operation; the signal acquisition unit requires no less than 6 channels, a sampling rate of no less than 10MS / s, and a sampling bit number of no less than 16 bits.

[0115] The signal processing unit realizes real-time processing of the data collected by the signal acquisition unit, including transient harmonic signal judgment, signal processing and other processing processes. Transient harmonic signal judgment is to judge the transient harmonic signal collected by the signal acquisition unit. If it is within the preset normal operating range of the reactor, no signal processing is performed on the collected transient harmonic signal; if it exceeds the preset normal operating range of the reactor, subsequent signal processing is performed on the transient harmonic signal on the excitation side and the transient harmonic signal on the response side; signal processing includes filtering out low-frequency components and obtaining spectrum characteristics through fast Fourier transform.

[0116] The human-machine interface unit, including parameter setting, data collection, data processing, transfer function curve comparison, historical data viewing, and test result generation functions, can be implemented using a computer installed with the above processing software. Figure 8 A schematic diagram of a high-voltage reactor turn-to-turn short-circuit fault online detection page (referred to as the fault detection page) provided by a high-voltage reactor turn-to-turn short-circuit fault online detection system based on power system transient harmonics is provided. Figure 8 As shown, the fault detection page is used for parameter setting, data processing, transfer function curve comparison, historical data viewing, and detection result display through different areas.

[0117] This solution can realize online monitoring of high-voltage reactor turn-to-turn short-circuit faults, and can timely prevent accidents caused by high-voltage reactor turn-to-turn short-circuit faults. In addition, the rich high-frequency harmonic components can obtain a wide-band response curve, thereby analyzing the high-voltage reactor turn-to-turn short-circuit fault. Finally, compared with regular maintenance, this method has higher real-time performance.

[0118] Based on the same inventive concept, the embodiment of the present application also provides an online detection device for high-voltage reactor turn-to-turn short-circuit faults based on power system transient harmonics for realizing the above-mentioned online detection method for high-voltage reactor turn-to-turn short-circuit faults based on power system transient harmonics. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above-mentioned method, so the specific limitations in the embodiments of one or more online detection devices for high-voltage reactor turn-to-turn short-circuit faults based on power system transient harmonics provided below can be referred to the limitations of the online detection method for high-voltage reactor turn-to-turn short-circuit faults based on power system transient harmonics in the above text, and will not be repeated here.

[0119] In an exemplary embodiment, Fig. 9 As shown, an online detection device for high-voltage reactor turn-to-turn short-circuit fault based on transient harmonics of a power system is provided, comprising: a signal acquisition module 910, a function curve acquisition module 920, a comparison module 930 and a determination module 940, wherein:

[0120] The signal acquisition module 910 is used to online acquire the transient harmonic signal of the excitation side and the transient harmonic signal of the response side of the high-voltage reactor under test; the transient harmonic signal is a harmonic voltage signal; the transient harmonic signal is collected in real time by a sensor in a voltage measuring device installed on the high-voltage bushing of the high-voltage reactor under test.

[0121] The function curve acquisition module 920 is used to obtain the measured transfer function curve represented by the voltage ratio according to the frequency spectrum characteristics corresponding to the transient harmonic signal on the excitation side and the transient harmonic signal on the response side, when the transient harmonic signal on the excitation side and the transient harmonic signal on the response side are outside the preset operating range.

[0122] The comparison module 930 is used to compare the measured transfer function curve with the reference transfer function curve represented by the voltage ratio according to preset statistical indicators to obtain statistical indicator data; the statistical indicator data is used to characterize the similarity between the measured transfer function curve and the reference transfer function curve; the statistical indicators include first-category indicators and second-category indicators; the statistical indicator data corresponding to the first-category indicators are extracted from the amplitude vector of the transfer function curve; the statistical indicator data corresponding to the second-category indicators are obtained based on the resonance point and anti-resonance point of the transfer function curve.

[0123] The determination module 940 is used to determine the online fault detection result of the tested high-voltage reactor according to the statistical indicator data.

[0124] In one of the embodiments, the function curve acquisition module 920 is specifically used to filter out low-frequency components in the transient harmonic signal on the excitation side and the transient harmonic signal on the response side through a wavelet transform algorithm to obtain the filtered transient harmonic signal on the excitation side and the filtered transient harmonic signal on the response side; and perform fast Fourier transform on the filtered transient harmonic signal on the excitation side and the filtered transient harmonic signal on the response side, respectively, to obtain the spectral characteristics corresponding to the transient harmonic signal on the excitation side and the transient harmonic signal on the response side, respectively.

[0125] In one embodiment, the comparison module 930 is specifically used to extract the characteristic quantity in the measured transfer function curve to obtain the measured characteristic quantity; extract the characteristic quantity in the reference transfer function curve to obtain the reference characteristic quantity; compare the measured characteristic quantity and the reference characteristic quantity according to the preset statistical indicator to obtain the statistical indicator data.

[0126] In one embodiment, the characteristic quantity includes at least one of the number of peaks and troughs of the transfer function curve, the resonance point frequency of the peaks and troughs of the transfer function curve, the amplitude of the peaks and troughs of the transfer function curve, and the shape of the transfer function curve.

[0127] In one embodiment, the comparison module 930 is specifically used to determine the change amplitude of the measured feature quantity relative to the benchmark feature quantity according to the preset data comparison operation rules corresponding to the statistical indicator, and obtain the feature quantity change amplitude corresponding to each statistical indicator; according to the feature quantity change amplitude corresponding to each statistical indicator, the statistical indicator data is obtained.

[0128] In one embodiment, the determination module 940 is specifically used to obtain a target mapping relationship; the target mapping relationship is used to characterize the mapping relationship between the characteristic quantity change amplitude value and the fault degree; according to the target mapping relationship, the fault degree corresponding to the numerical value of the characteristic quantity change amplitude is determined as the fault degree of the high-voltage reactor under test.

[0129] Each module in the above-mentioned online detection device for high-voltage reactor turn-to-turn short-circuit fault based on transient harmonics of power system can be implemented in whole or in part by software, hardware and their combination. Each of the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory in the computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0130] In an exemplary embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be shown in FIG10. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit, and an input device. The processor, the memory, and the input / output interface are connected via a system bus, and the communication interface, the display unit, and the input device are connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, near field communication (NFC) or other technologies. When the computer program is executed by the processor, an online detection method for turn-to-turn short-circuit fault of a high-voltage reactor based on transient harmonics of a power system is implemented. The display unit of the computer device is used to form a visually visible picture, and can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covered on the display screen, or a key, trackball, or touchpad provided on the computer device housing, or an external keyboard, touchpad, or mouse, etc.

[0131] Those skilled in the art will understand that the structure shown in FIG. 10 is merely a block diagram of a partial 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 shown in the figure, or combine certain components, or have a different arrangement of components.

[0132] In one embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0133] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0134] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0135] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0136] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0137] 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 application.

[0138] The above-described 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. An online detection method for high-voltage reactor turn-to-turn short-circuit fault based on power system transient harmonics, characterized in that: The method comprises: The transient harmonic signal of the excitation side and the transient harmonic signal of the response side of the high-voltage reactor under test are obtained online; the transient harmonic signal is a harmonic voltage signal; the transient harmonic signal is collected in real time by a sensor in a voltage measuring device installed on the high-voltage bushing of the high-voltage reactor under test; When the transient harmonic signal on the excitation side and the transient harmonic signal on the response side are outside the preset operating range, a measured transfer function curve represented by a voltage ratio is obtained according to the frequency spectrum characteristics respectively corresponding to the transient harmonic signal on the excitation side and the transient harmonic signal on the response side; According to preset statistical indicators, the measured transfer function curve is compared with a reference transfer function curve represented by a voltage ratio to obtain statistical indicator data; the statistical indicator data is used to characterize the similarity between the measured transfer function curve and the reference transfer function curve; the statistical indicators include first-category indicators and second-category indicators; the statistical indicator data corresponding to the first-category indicators are extracted from the amplitude vector of the transfer function curve; the statistical indicator data corresponding to the second-category indicators are obtained based on the resonance point and anti-resonance point of the transfer function curve; The online fault detection result of the high-voltage reactor under test is determined according to the statistical indicator data.

2. The method according to claim 1, characterized in that The step of obtaining a measured transfer function curve represented by a voltage ratio according to the frequency spectrum characteristics respectively corresponding to the transient harmonic signal on the excitation side and the transient harmonic signal on the response side includes: Filtering low-frequency components in the transient harmonic signal on the excitation side and the transient harmonic signal on the response side by using a wavelet transform algorithm to obtain a filtered transient harmonic signal on the excitation side and a filtered transient harmonic signal on the response side; The filtered transient harmonic signal on the excitation side and the filtered transient harmonic signal on the response side are respectively subjected to fast Fourier transform to obtain the frequency spectrum characteristics corresponding to the transient harmonic signal on the excitation side and the transient harmonic signal on the response side.

3. The method according to claim 1, characterized in that The step of comparing the measured transfer function curve with a reference transfer function curve represented by a voltage ratio according to a preset statistical index to obtain statistical index data includes: Extracting characteristic quantities from the measured transfer function curve to obtain the measured characteristic quantities; Extracting characteristic quantities from the reference transfer function curve to obtain reference characteristic quantities; According to the preset statistical index, the measured feature quantity and the reference feature quantity are compared to obtain the statistical index data.

4. The method according to claim 3, characterized in that The characteristic quantity includes at least one of the number of peaks and troughs of the transfer function curve, the resonance point frequency of the peaks and troughs of the transfer function curve, the amplitude of the peaks and troughs of the transfer function curve, and the shape of the transfer function curve.

5. The method according to claim 3, characterized in that: The step of comparing the measured characteristic quantity with the reference characteristic quantity according to the preset statistical indicator to obtain the statistical indicator data includes: According to the preset data comparison operation rules corresponding to the statistical indicators, the variation range of the measured characteristic quantity relative to the reference characteristic quantity is determined to obtain the variation range of the characteristic quantity corresponding to each statistical indicator; The statistical indicator data is obtained according to the variation range of the characteristic quantity corresponding to each statistical indicator.

6. The method according to claim 5, characterized in that Determining the online fault detection result of the high-voltage reactor under test according to the statistical indicator data includes: Obtaining a target mapping relationship; the target mapping relationship is used to characterize the mapping relationship between the characteristic quantity change amplitude value and the fault degree; According to the target mapping relationship, the fault degree corresponding to the numerical value of the characteristic quantity change amplitude is determined as the fault degree of the measured high-voltage reactor.

7. An online detection device for high-voltage reactor turn-to-turn short-circuit fault based on power system transient harmonics, characterized in that: The device comprises: A signal acquisition module is used to acquire online the transient harmonic signal of the excitation side and the transient harmonic signal of the response side of the high-voltage reactor under test; the transient harmonic signal is a harmonic voltage signal; the transient harmonic signal is acquired in real time by a sensor in a voltage measuring device installed on the high-voltage bushing of the high-voltage reactor under test; A function curve acquisition module, used for obtaining a measured transfer function curve represented by a voltage ratio according to the frequency spectrum characteristics respectively corresponding to the transient harmonic signal on the excitation side and the transient harmonic signal on the response side when the transient harmonic signal on the excitation side and the transient harmonic signal on the response side are outside a preset operating range; A comparison module, used for comparing the measured transfer function curve with a reference transfer function curve represented by a voltage ratio according to preset statistical indicators to obtain statistical indicator data; the statistical indicator data is used to characterize the similarity between the measured transfer function curve and the reference transfer function curve; the statistical indicators include first-category indicators and second-category indicators; the statistical indicator data corresponding to the first-category indicators are extracted from the amplitude vector of the transfer function curve; the statistical indicator data corresponding to the second-category indicators are obtained based on the resonance point and anti-resonance point of the transfer function curve; A determination module is used to determine the online fault detection result of the tested high-voltage reactor according to the statistical indicator data.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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