Online detection method and device for high-voltage reactor inter-turn short-circuit fault based on power system transient harmonic

Abstract

The application relates to a high-voltage reactor turn-to-turn short-circuit fault online detection method and device based on power system transient harmonics, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: obtaining a transient harmonic signal of an excitation side and a transient harmonic signal of a response side of a measured high-voltage reactor online; in the case that the transient harmonic signal of the excitation side and the transient harmonic signal of the response side are outside a preset operating range, obtaining a measured transfer function curve represented by a voltage ratio according to the corresponding frequency spectrum characteristics of the transient harmonic signal of the excitation side and the transient harmonic signal of the response side; 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; and determining a fault online detection result of the measured high-voltage reactor according to the statistical index data. The method can improve the detection accuracy of the turn-to-turn short-circuit fault online detection method of the reactor.

Description

Technical Field

[0001] The present application relates to the field of electric power technology, and in particular to a 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 a power system. Background Art

[0002] As people's quality of life continues to improve, reactors are increasingly used in power systems to maintain grid stability. High-voltage reactors, due to their structural characteristics, play a key role in power systems. Their primary applications include voltage regulation, reactive power compensation, overvoltage suppression, and improved system stability. High-voltage reactors have been increasingly widely used in power systems and are an extremely important component of these systems. However, a large number of high-voltage reactors are still in use even after exceeding their expected rated lifespan. High-voltage reactors are prone to defects such as turn-to-turn short circuits. If faults are not effectively detected and removed in a timely manner, they can catch fire within a short period of time, causing equipment failure, shutdown, or even burnout. This poses a significant risk to public utilities.

[0003] Related technologies for detecting the status of high-voltage reactors primarily include magnetic field distribution, vibration analysis, electrical characteristics analysis, current imbalance analysis, and pulse frequency response (PFR) methods. However, these methods for detecting inter-turn short-circuit faults suffer from poor sensitivity and are unable to promptly and accurately detect initial inter-turn short-circuit conditions in high-voltage reactors. The existing PFR method, among others, can only be applied when the reactor is offline during detection. Furthermore, it is currently only applicable to medium- and low-voltage reactors and is difficult to directly apply to reactors with high-voltage bushings. Consequently, related-art methods for detecting inter-turn short-circuit faults in reactors suffer from 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 inter-turn short-circuit faults based on power system transient harmonics, which can improve the detection accuracy of the reactor inter-turn short-circuit fault detection method in response to the above technical problems.

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

[0006] Online acquisition of transient harmonic signals on the excitation side and the response side of the high-voltage reactor under test; the transient harmonic signals are harmonic voltage signals; the transient harmonic signals are acquired in real time by a sensor in a voltage measuring device installed on a 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 a 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;

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

[0009] Determine the online fault detection result of the high-voltage reactor under test based on the statistical indicator data.

[0010] In one embodiment, obtaining a measured transfer function curve represented by a 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 includes:

[0011] filtering out 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] Fast Fourier transform is performed on the filtered transient harmonic signal on the excitation side and the filtered transient harmonic signal on the response side to obtain 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, comparing the measured transfer function curve with a reference transfer function curve represented by a voltage ratio according to a preset statistical indicator to obtain statistical indicator data includes:

[0014] Extracting characteristic quantities from the measured transfer function curve to obtain 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] Determine the variation range of the measured characteristic quantity relative to the reference characteristic quantity according to the preset data comparison operation rules corresponding to the statistical indicators, and 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 embodiment, determining the online fault detection result of the high-voltage reactor under test based on 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 value change amplitude and the fault degree;

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

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

[0025] A signal acquisition module is used to online acquire transient harmonic signals on the excitation side and the response side of the high-voltage reactor under test; the transient harmonic signals are harmonic voltage signals; the transient harmonic signals are 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;

[0026] a function curve acquisition module, configured to obtain 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, respectively, 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, configured to compare 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 degree of 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 based on the statistical indicator data.

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

[0032] The above-mentioned method, device, computer equipment, computer-readable storage medium and computer program product for online detection of inter-turn short-circuit faults of high-voltage reactors based on transient harmonics of power systems are obtained online by obtaining transient harmonic signals of the excitation side and the transient harmonic signals of the response side of the high-voltage reactor under test; the transient harmonic signals are harmonic voltage signals; the transient harmonic signals are collected in real time by sensors in a voltage measuring device installed on the high-voltage bushing of the high-voltage reactor under test; when the transient harmonic signals of the excitation side and the transient harmonic signals of the response side are outside the preset operating range, the transient harmonic signals of the excitation side and the transient harmonic signals of the response side are respectively corresponding to the transient harmonic signals of the excitation side and the response side. The measured transfer function curve represented by the voltage ratio is obtained by comparing the measured transfer function curve with the reference transfer function curve represented by the voltage ratio according to the preset statistical indicators, and the statistical indicator data are obtained; the statistical indicator data are used to characterize the similarity between the measured transfer function curve and the reference transfer function curve; the statistical indicators include first-class indicators and second-class indicators; the statistical indicator data corresponding to the first-class indicators are extracted from the amplitude vector of the transfer function curve; the statistical indicator data corresponding to the second-class 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 in the power system due to operations such as switch reversing, and lightning overvoltage may also be generated when lightning enters the substation. In addition, there are also some discharge and insulation defects in the power system. The above situations may cause the voltage at the inlet end of the reactor to have high-frequency harmonic components, which will propagate through the inside of the reactor and appear as a harmonic-rich response signal 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, spectrum analysis is performed on the transient harmonic signals on the excitation side and the transient harmonic signal on the response side. Based on the rich high-frequency harmonic components, a wide-band voltage ratio response curve can be obtained, that is, a measured transfer function curve represented by the voltage ratio. 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 degree of 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. Therefore, the statistical indicator data can be used to accurately determine the inter-turn short-circuit fault condition of the high-voltage reactor according to the frequency characteristics and amplitude characteristics of the transfer function curve, thereby realizing the detection of short-circuit faults by constructing a 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 inter-turn short-circuit faults, and can monitor the inter-turn short-circuit faults of high-voltage reactors online. It has the potential to detect inter-turn short-circuit faults in the early stage of reactor failure, and provide timely feedback on the working status of the high-voltage reactor, realize monitoring of power equipment, and enhance the power system's control and management capabilities of 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 following briefly introduces the drawings required for use in the embodiments of the present application or related technical descriptions. 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 any creative work.

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

[0036] Figure 2 A schematic diagram of a low-voltage arm and a matching portion of a voltage divider of a voltage measuring device according to an embodiment;

[0037] Figure 3A wiring diagram for the arrangement of a bushing capacitive coupling sensor (voltage divider high-voltage arm) and a capacitive voltage divider performance test 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 Schematic diagram of comparison between a measured transfer function curve and a reference transfer function curve of a high-voltage reactor under test that has a fault in one embodiment;

[0040] Figure 6 1 is a flow chart of an online detection method for high-voltage reactor turn-to-turn short-circuit faults based on power system transient harmonics in another embodiment;

[0041] Figure 7 FIG1 is a hardware framework diagram of an online detection system for high-voltage reactor turn-to-turn short-circuit faults based on power system transient harmonics in one embodiment;

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

[0043] Figure 9 1 is a structural block diagram of an online detection device for high-voltage reactor turn-to-turn short-circuit faults based on power system transient harmonics in one embodiment;

[0044] Figure 10 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0045] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0046] It should be noted that the terms "first," "second," and the like 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 precedence. It should be understood that the numbers used in this manner are interchangeable 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 apparatus and methods consistent with certain 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 power system transient harmonics is provided. This embodiment uses the method applied to a computer device as an example. It is understandable 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 transient harmonic signals on the excitation side and the response side of the high-voltage reactor under test. The transient harmonic signals are harmonic voltage signals. Therefore, the transient harmonic signal on the excitation side can be named the excitation harmonic voltage signal, and the transient harmonic signal on the response side can be named 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 of the excitation side of the high-voltage reactor under test and the transient harmonic signal of the response side at the other end, so that the computer equipment can obtain the transient harmonic signal of the excitation side and the transient harmonic signal of 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, wherein the signal acquisition unit and the data storage unit are respectively used to acquire and store transient harmonic signals.

[0055] In practical applications, the voltage measurement 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 form of a thin metal strip, which wraps the outer insulation layer of the bushing set near the flange of the reactor bushing end screen; 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 measurement device; the low-voltage arm part of the voltage measurement 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 the outer insulation layer of the bushing arranged at the end screen of the reactor bushing near the flange; 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 integrating capacitor. Based on the capacitance of the high-voltage side and neutral point bushing coupling capacitance 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 was built for testing. The experimental measurement wiring is as follows: Figure 3 As shown, the test waveform is as follows Figure 4 The test results are shown in Figure 1, using a 110 kV bushing voltage measurement device as an example. The test demonstrates that the capacitive voltage divider can effectively reproduce the pulse voltage waveform input by the pulse generator, with a response time of ≤50 ns and a voltage divider ratio of approximately 10231. Furthermore, in this example, the voltage measurement device is connected to a preprocessing circuit and an acquisition card. The preprocessing circuit consists of an LM741 general-purpose operational amplifier circuit and an RLC high-pass filter circuit. The general-purpose operational amplifier circuit increases the amplitude of the voltage measurement device's output signal to facilitate subsequent processing and conversion, while the RLC high-pass filter circuit removes low-frequency interference from the harmonic signal. The acquisition card in this example has at least six 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 spectral 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] In which, in the process of obtaining the measured transfer function curve represented by the voltage ratio based on the spectral characteristics corresponding to the transient harmonic signal on the excitation side and the transient harmonic signal on the response side, the computer device 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 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 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, because the collected time-domain transient harmonic signals also contain the reactor's power frequency component and various on-site interference noise, preprocessing is necessary to provide reliable data for subsequent turn-to-turn short-circuit fault analysis. Therefore, a wavelet algorithm can be used to filter out low-frequency components, and a fast Fourier transform algorithm can be used to obtain spectral characteristics.

[0063] Wavelet transform denoising is a technique that uses the wavelet transform algorithm to filter out low-frequency components from a signal. The basic process includes wavelet decomposition of the signal, threshold processing, and wavelet reconstruction of the signal. The specific steps are as follows:

[0064] 1) Wavelet decomposition: transform the noisy signal Decomposed into several levels of wavelet coefficients through wavelet transform. represents the wavelet coefficients, The scale is , translated to The mother wavelet, represents the 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 the denoised signal 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] Where, 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 a 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] 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 and 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 the 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 shapes, etc. can be determined. Thus, it is possible to judge whether an inter-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 fault 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] In which, in the process of comparing the measured feature quantity and the benchmark feature quantity according to the preset statistical indicators to obtain 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 indicators, and the feature quantity change range corresponding to each statistical indicator can be obtained; according to the feature quantity change range corresponding to each statistical indicator, the statistical indicator data can be 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 sequence of peak-to-valley amplitudes of the measured transfer function curve, and N represents the sequence length. This formula can be used to calculate the magnitude of the change in the peak and trough amplitudes of the measured transfer function curve relative to the reference transfer function curve, yielding the magnitude of the change in the characteristic quantity corresponding to the statistical indicator, the amplitude function.

[0092] ;

[0093] ;

[0094] in, represents the average frequency function, represents the frequency function, Represents the peak-valley resonance frequency sequence of the reference transfer function curve (a sequence consisting of the resonance frequency of the peaks and troughs). represents the peak-valley resonance frequency sequence of the measured transfer function curve, and N represents the sequence length. Using the above two formulas, we can calculate the amplitude of the change in the resonance frequency of the peaks and valleys of the measured transfer function curve relative to the reference transfer function curve, and thus obtain the amplitude of the change in the characteristic quantities corresponding to the two statistical indicators of the average frequency function and the frequency function.

[0095] In this way, the statistical indicator data can be obtained based on 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 based on 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 based on the target mapping relationship as the fault degree of the high-voltage reactor under test. In this way, 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] To facilitate understanding by those skilled in the art, Figure 5 A schematic diagram comparing a measured transfer function curve of a faulty high-voltage reactor under test with 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 of the excitation side and the transient harmonic signal of the response side are outside the preset operating range, the voltage ratio represented by the transient harmonic signal of the excitation side and the transient harmonic signal of the response side are obtained according to the spectral characteristics corresponding to the transient harmonic signal of the excitation side and the transient harmonic signal of the response side. a measured transfer function curve; 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 degree of 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; based on 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 in the power system due to operations such as switch reversing, and lightning overvoltage may also be generated when lightning enters the substation. In addition, there are also some discharge and insulation defects in the power system. The above situations may cause the voltage at the inlet end of the reactor to have high-frequency harmonic components, which will propagate through the inside of the reactor and appear as a harmonic-rich response signal 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, spectrum analysis is performed on the transient harmonic signals on the excitation side and the transient harmonic signal on the response side. Based on the rich high-frequency harmonic components, a wide-band voltage ratio response curve can be obtained, that is, a measured transfer function curve represented by the voltage ratio. 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 degree of 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. Therefore, the statistical indicator data can be used to accurately determine the inter-turn short-circuit fault condition of the high-voltage reactor according to the frequency characteristics and amplitude characteristics of the transfer function curve, thereby realizing the detection of short-circuit faults by constructing a 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 inter-turn short-circuit faults, and can monitor the inter-turn short-circuit faults of high-voltage reactors online. It has the potential to detect inter-turn short-circuit faults in the early stage of reactor failure, and provide timely feedback on the working status of the high-voltage reactor, realize monitoring of power equipment, and enhance the power system's control and management capabilities of 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 power system transient harmonics is provided. The method is described by taking the application of the method to computer equipment as an example, and includes the following steps:

[0103] Step S602: online acquiring 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, 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 filtered transient harmonic signals on the excitation side and the 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 characteristic quantities from the measured transfer function curve to obtain measured characteristic quantities; extracting characteristic quantities from the reference transfer function curve to obtain reference characteristic quantities.

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

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

[0110] Step S616: Determine the online fault detection result of the high-voltage reactor under test based on 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 method for online detection of high-voltage reactor turn-to-turn short-circuit faults based on power system transient harmonics.

[0112] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed 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 portion of steps or stages in other steps.

[0113] In another embodiment, if Figure 7 As shown in the figure, taking computer equipment as an example, a hardware framework diagram of an online detection system for high-voltage reactor turn-to-turn short-circuit faults based on power system transient harmonics 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 performs real-time processing on the data collected by the signal acquisition unit, including transient harmonic signal judgment, signal processing, and other processing processes. Transient harmonic signal judgment involves determining 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 is outside 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 spectral 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 uses different areas to perform parameter settings, data processing, transfer function curve comparison, historical data viewing, and detection result display.

[0117] This solution enables online monitoring of high-voltage reactor turn-to-turn short-circuit faults, enabling timely prevention of accidents caused by these faults. Furthermore, the rich high-frequency harmonic components enable the generation of broadband response curves, enabling analysis of high-voltage reactor turn-to-turn short-circuit faults. Finally, this method offers greater real-time performance compared to periodic maintenance.

[0118] Based on the same inventive concept, an embodiment of the present application further provides an online detection device for high-voltage reactor turn-to-turn short-circuit faults based on power system transient harmonics, which is used to implement the above-mentioned online detection method for high-voltage reactor turn-to-turn short-circuit faults based on power system transient harmonics. The implementation solution provided by this device is similar to the implementation solution described in the above-mentioned method. Therefore, the specific limitations of one or more embodiments of the online detection device for high-voltage reactor turn-to-turn short-circuit faults based on power system transient harmonics provided below can be found in the above-mentioned limitations of the online detection method for high-voltage reactor turn-to-turn short-circuit faults based on power system transient harmonics, and will not be repeated here.

[0119] In an exemplary embodiment, Figure 9 As shown, an online detection device for high-voltage reactor turn-to-turn short-circuit fault based on power system transient harmonics 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 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, respectively, when the transient harmonic signal on the excitation side and the transient harmonic signal on the response side are outside a preset operating range.

[0122] The comparison module 930 is used to compare 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 degree of 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 configured to determine the online fault detection result of the high-voltage reactor under test according to the statistical indicator data.

[0124] In one embodiment, the function curve acquisition module 920 is specifically used to 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 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 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; and 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 characteristic quantity relative to the benchmark characteristic quantity according to the preset data comparison operation rules corresponding to the statistical indicators, and obtain the change amplitude of the characteristic quantity corresponding to each statistical indicator; and obtain the statistical indicator data according to the change amplitude of the characteristic quantity corresponding to each statistical indicator.

[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 inductor under test.

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

[0130] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 10As shown. The computer device includes a processor, memory, an input / output interface, a communication interface, a display unit, and an input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and 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 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 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 external devices. The communication interface of the computer device is used to communicate with external terminals via wired or wireless communication, and the wireless communication can be achieved via Wi-Fi, mobile cellular networks, near-field communication (NFC), or other technologies. When executed by the processor, the computer program implements an online detection method for high-voltage reactor inter-turn short-circuit faults based on transient harmonics in the power system. The display unit of the computer device is used to produce a visual image 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 covering the display screen, or a button, trackball or touchpad set on the computer device casing, or an external keyboard, touchpad or mouse.

[0131] Those skilled in the art will understand that Figure 10 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 shown in the figure, or combine certain components, or have a different component arrangement.

[0132] In one embodiment, a computer device is further provided, including a memory and a processor. The memory stores a computer program, and the processor implements the steps in the above 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] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The 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. In particular, any reference to memory, database, or other media used in the embodiments provided in this 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. By way of illustration and not limitation, RAM can take various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the various embodiments provided herein may be, but are not limited to, general-purpose processors, central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), programmable logic devices (PLDs), quantum computing-based data processing logic devices, artificial intelligence (AI) processors, and the like.

[0137] The technical features of the above embodiments can be combined arbitrarily. In order 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 merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A method for online detection of high-voltage reactor turn-to-turn short-circuit faults based on power system transient harmonics, characterized in that: The method comprises: Online acquisition of transient harmonic signals on the excitation side and the response side of the high-voltage reactor under test; the transient harmonic signals are harmonic voltage signals; the transient harmonic signals are acquired in real time by a sensor in a voltage measuring device installed on a 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 a 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; According to a preset statistical index, the measured transfer function curve is compared with a reference transfer function curve represented by a voltage ratio to obtain statistical index data; the statistical index data is used to characterize the degree of similarity between the measured transfer function curve and the reference transfer function curve; the statistical index includes a first type of index and a second type of index; the statistical index data corresponding to the first type of index is extracted from the amplitude vector of the transfer function curve; the statistical index data corresponding to the second type of index is obtained based on the resonance point and anti-resonance point of the transfer function curve; Determine an online fault detection result of the high-voltage reactor under test based on 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 corresponding to the transient harmonic signal on the excitation side and the transient harmonic signal on the response side, comprises: filtering out 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; Fast Fourier transform is performed on the filtered transient harmonic signal on the excitation side and the filtered transient harmonic signal on the response side to obtain 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 indicator to obtain statistical indicator data includes: Extracting characteristic quantities from the measured transfer function curve to obtain 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: Determine the variation range of the measured characteristic quantity relative to the reference characteristic quantity according to the preset data comparison operation rules corresponding to the statistical indicators, and 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 tested high-voltage reactor 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 value change amplitude and the fault degree; According to the target mapping relationship, the fault degree corresponding to the numerical value of the characteristic value change amplitude is determined as the fault degree of the high-voltage reactor under test.

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 online acquire transient harmonic signals on the excitation side and the response side of the high-voltage reactor under test; the transient harmonic signals are harmonic voltage signals; the transient harmonic signals are 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; a function curve acquisition module, configured to obtain 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, respectively, 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, configured to compare 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 degree of 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 based on 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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