A method, system, device, medium, and product for detecting a reactor fault

Abstract

The application discloses a kind of electric reactor fault detection method, system, equipment, medium and product, for.The application includes the voltage data and current data of the electric reactor to be measured, draws the Lissajous curve of the electric reactor to be measured;Extract the characteristic parameter of the Lissajous curve of the electric reactor to be measured;The covariance value between the characteristic parameters of the Lissajous curve corresponding to the electric reactor in normal state and the electric reactor to be measured respectively is calculated;Determine whether the covariance value is greater than the preset variance threshold, determine the fault state of the electric reactor to be measured according to the determination result.The application effectively makes up the defects in the prior art method, such as offline detection and single detection characteristic quantity, realizes the online monitoring of electric reactor.Solves the technical problems that the existing detection method cannot realize online application, time effectiveness is poor, leading to unable to monitor the turn-to-turn fault of dry-type air-core reactor in real time.

Description

Technical Field

[0001] This invention relates to the field of reactor technology, and in particular to a reactor fault detection method, system, device, medium, and product. Background Technology

[0002] Dry-type air-core reactors have been increasingly widely used in power systems due to their advantages such as good linearity, high strength, light weight, simple structure, high cost performance, low noise, and low maintenance workload. They are an extremely important part of the power system. However, a large number of dry-type air-core reactors have exceeded their expected rated lifespan but are still in use. Dry-type air-core reactors are prone to defects such as inter-turn short circuits, which can lead to equipment failure, shutdown, or even burnout, posing a significant risk to public utilities.

[0003] Therefore, methods such as insulation resistance measurement, current harmonic analysis, multi-signal measurement, and novel sensor detection are commonly used to monitor inter-turn short-circuit faults in dry-type air-core reactors. However, these methods have low sensitivity, and some methods cannot be applied online, resulting in poor timeliness and making it impossible to detect inter-turn faults in dry-type air-core reactors in real time. Summary of the Invention

[0004] This invention provides a method, system, device, medium, and product for detecting reactor faults, which solves the technical problem that existing detection methods cannot be applied online and have poor timeliness, resulting in the inability to monitor inter-turn faults in dry-type air-core reactors in real time.

[0005] The first aspect of this invention provides a reactor fault detection method, comprising:

[0006] Using the voltage and current data of the reactor under test, the Lissajous curve of the reactor under test is plotted.

[0007] Extract the characteristic parameters of the Lissajous curve of the reactor under test;

[0008] Calculate the covariance between the characteristic parameters of the Lissajous curves corresponding to the reactor under normal conditions and the reactor under test, respectively.

[0009] Determine whether the covariance value is greater than a preset variance threshold, and determine the fault state of the reactor under test based on the determination result.

[0010] Optionally, the step of plotting the Lissajous curve of the reactor under test using the voltage and current data of the reactor under test includes:

[0011] Collect voltage and current data of the reactor under test;

[0012] The voltage and current data are preprocessed using the mean value method;

[0013] The preprocessed voltage and current data were extracted using the Fourier transform extraction method to obtain harmonic voltage data, fundamental voltage data, harmonic current data, and fundamental current data.

[0014] Using the harmonic voltage data, the fundamental voltage data, the harmonic current data, and the fundamental current data, the Lissajous curve of the reactor under test is plotted.

[0015] Optionally, the step of plotting the Lissajous curve of the reactor under test using the harmonic voltage data, the fundamental voltage data, the harmonic current data, and the fundamental current data includes:

[0016] Based on the harmonic voltage data, the fundamental voltage data, the harmonic current data, and the fundamental current data, construct the voltage equation corresponding to the voltage data and the current equation corresponding to the current data;

[0017] Combining the voltage equation and the current equation, a target equation is generated; wherein the calculation formula for the target equation is:

[0018]

[0019] In the formula, U1 is the amplitude of the fundamental voltage, I1 is the amplitude of the fundamental current, and θ k U is the angle between the harmonic voltage and the fundamental voltage, k is the harmonic order, n is the upper limit of the harmonic order, and U is the harmonic voltage. k I represents the harmonic voltage amplitude. k δ represents the amplitude of the harmonic current. k The angle between the harmonic current and the fundamental current signal;

[0020] Input the voltage and current data of the reactor under test into the target equation, and calculate the function values ​​corresponding to the voltage and current data respectively;

[0021] The discrete sampling method is used to extract multiple discrete points of voltage and current data in the target equation;

[0022] The function values ​​corresponding to each discrete point are divided into horizontal and vertical axes, and the Lissajous curves of the reactor under test are plotted based on the discrete points on the horizontal and vertical axes.

[0023] Optionally, the step of extracting the characteristic parameters of the Lissajous curve of the reactor under test includes:

[0024] Extract the characteristic parameters of the Lissajous curve of the reactor under test; wherein, the characteristic parameters include the tilt angle, major axis and minor axis;

[0025] The formula for calculating the tilt angle is as follows:

[0026]

[0027] The formula for calculating the extraction of the major axis is:

[0028]

[0029] The formula for extracting the minor axis is:

[0030]

[0031] In the formula, θ is the tilt angle, a is the major axis, b is the minor axis, U1 is the fundamental voltage amplitude, I1 is the fundamental current amplitude, and θ k U is the angle between the harmonic voltage and the fundamental voltage, k is the harmonic order, n is the upper limit of the harmonic order, and U is the harmonic voltage. k I represents the harmonic voltage amplitude. k δ represents the amplitude of the harmonic current. k It is the angle between the harmonic current and the fundamental current signal.

[0032] Optionally, the step of calculating the covariance between the characteristic parameters of the Lissajous curves corresponding to the reactor under normal conditions and the reactor under test includes:

[0033] Obtain the tilt angle, major axis, and minor axis of the Lissajous curve of the reactor under normal conditions;

[0034] The covariance between the reactor under normal conditions and the reactor under test is calculated using the tilt angle, major axis, and minor axis of the Lissajous curve of the reactor under normal conditions and the Lissajous curve of the reactor under test.

[0035] Optionally, determining whether the covariance value is greater than a preset variance threshold, and determining the fault state of the reactor under test based on the determination result, includes:

[0036] Determine whether the covariance value is greater than a preset variance threshold;

[0037] If the variance is greater than the preset variance threshold, the current state of the reactor under test is determined to be a short circuit fault between reactor turns.

[0038] If the variance is less than or equal to the preset variance threshold, the current state of the reactor under test is determined to be fault-free.

[0039] A reactor fault detection system provided by a second aspect of the present invention includes:

[0040] The plotting module is used to plot the Lissajous curve of the reactor under test using the voltage and current data of the reactor under test.

[0041] The extraction module is used to extract the characteristic parameters of the Lissajous curve of the reactor under test;

[0042] The calculation module is used to calculate the covariance between the characteristic parameters of the Lissajous curves corresponding to the reactor under normal conditions and the reactor under test, respectively.

[0043] The judgment module is used to determine whether the covariance value is greater than a preset variance threshold, and to determine the fault state of the reactor under test based on the judgment result.

[0044] A third aspect of the present invention provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor performs the steps of the reactor fault detection method as described in any of the preceding claims.

[0045] The fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed, implements the reactor fault detection method as described in any of the preceding claims.

[0046] The fifth aspect of the present invention provides a computer program product, the computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions, wherein, when the program instructions are executed by a computer, the computer performs the reactor fault detection method as described in any of the preceding claims.

[0047] As can be seen from the above technical solutions, the present invention has the following advantages:

[0048] This invention collects online voltage and current data from the ports of the dry-type air-core reactor under test, and plots Lissajous curves using this data. By calculating the covariance between the characteristic parameters of the Lissajous curves corresponding to the reactor under normal conditions and the dry-type air-core reactor under test, a short-circuit fault between turns is determined when this covariance exceeds a preset variance threshold. This invention effectively overcomes the shortcomings of existing methods, such as reliance on offline detection and the use of single detection characteristics, thus achieving online monitoring of reactors. Attached Figure Description

[0049] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0050] Figure 1 This is a flowchart of the steps of a reactor fault detection method provided in Embodiment 1 of the present invention;

[0051] Figure 2 This is a flowchart of the steps of a reactor fault detection method provided in Embodiment 2 of the present invention;

[0052] Figure 3 This is a schematic diagram of the steps of a reactor fault detection method provided in Embodiment 2 of the present invention;

[0053] Figure 4 A schematic diagram of the system interface corresponding to a reactor fault detection method provided in Embodiment 2 of the present invention;

[0054] Figure 5 A schematic diagram of a bowditch curve result containing 10% of the 5th harmonic and the fundamental frequency provided in Embodiment 2 of the present invention;

[0055] Figure 6 A schematic diagram of a bowditch curve result containing 4% of the 7th harmonic and the fundamental frequency provided in Embodiment 2 of the present invention;

[0056] Figure 7 This is a structural block diagram of a reactor fault detection system provided in Embodiment 3 of the present invention;

[0057] Figure 8 This is a structural block diagram of an electronic device provided in Embodiment 4 of the present invention. Detailed Implementation

[0058] This invention provides a reactor fault detection method, system, device, medium, and product to solve the technical problem that existing detection methods cannot be applied online and have poor timeliness, resulting in the inability to monitor inter-turn faults in dry-type air-core reactors in real time.

[0059] To make the objectives, features, and advantages of this invention more apparent and understandable, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described below are only some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0060] Example 1

[0061] Please see Figure 1 , Figure 1 This is a flowchart illustrating the steps of a reactor fault detection method provided in Embodiment 1 of the present invention.

[0062] The present invention provides a reactor fault detection method, comprising the following steps:

[0063] Step 101: Using the voltage and current data of the reactor under test, plot the Lissajous curve of the reactor under test.

[0064] It should be noted that the voltage and current data of the reactor under test are collected synchronously online through voltage transformers (PT) and current transformers (CT).

[0065] It should be noted that the reactor under test is a dry-type air-core reactor.

[0066] In practice, the voltage and current data collected at the port of the reactor under test are processed, and the harmonic voltage, harmonic current, fundamental voltage, and fundamental current of the processed voltage and current data are extracted. The extracted harmonic voltage, harmonic current, fundamental voltage, and fundamental current are then used to plot the Lissajous curve (i.e., bowditch curve) of the reactor under test.

[0067] Step 102: Extract the characteristic parameters of the Lissajous curve of the reactor under test.

[0068] It should be noted that the characteristic parameters include the inclination angle, major axis, and minor axis of the Lissajous curve.

[0069] In practice, by substituting data such as harmonic voltage, harmonic current, fundamental voltage, and fundamental current into the tilt angle calculation formula, major axis calculation formula, and minor axis calculation formula, the specific values ​​of the tilt angle, major axis, and minor axis can be obtained.

[0070] Step 103: Calculate the covariance between the characteristic parameters of the Lissajous curves corresponding to the reactor under normal conditions and the reactor under test.

[0071] It should be noted that by obtaining the tilt angle, major axis, and minor axis of the Lissajous curve of the reactor under normal conditions, and substituting these values ​​into the covariance calculation formula, the covariance value between the reactor under normal conditions and the dry-type air-core reactor under test can be obtained.

[0072] Step 104: Determine whether the covariance value is greater than the preset variance threshold, and determine the fault status of the reactor under test based on the determination result.

[0073] It should be noted that the preset variance threshold is 255000.

[0074] In practice, when the covariance between the reactor under normal conditions and the dry-type air-core reactor under test is greater than 255,000, the dry-type air-core reactor under test is faulty, and the fault condition is proportional to the covariance value. This indicator is used to determine the inter-turn short-circuit fault condition of the dry-type air-core reactor.

[0075] Example 2

[0076] Please see Figures 2 to 6 , Figure 2 This is a flowchart of the steps of a reactor fault detection method provided in Embodiment 2 of the present invention.

[0077] The present invention provides a reactor fault detection method, comprising the following steps:

[0078] Step 201: Using the voltage and current data of the reactor under test, plot the Lissajous curve of the reactor under test.

[0079] Optionally, step 201 includes the following steps S11-S14:

[0080] S11. Collect the voltage and current data of the reactor under test;

[0081] S12. The voltage and current data are preprocessed using the mean value method;

[0082] S13. The preprocessed voltage and current data are extracted using the Fourier transform extraction method to obtain harmonic voltage data, fundamental voltage data, harmonic current data and fundamental current data.

[0083] S14. Using harmonic voltage data, fundamental voltage data, harmonic current data, and fundamental current data, plot the Lissajous curve of the reactor under test.

[0084] It should be noted that the voltage at the port of the actual dry-type air-core reactor is collected online through voltage transformers and current transformers. and current data.

[0085] In this embodiment of the invention, a 35kV reactor is used as the experimental object, and its single-phase capacity S n =2000kV·A, rated voltage U=35kV, 20 layers of coil, equally divided into 5 packages. Before diagnosing reactor faults, it is necessary to simultaneously collect the voltage at the port of the dry-type air-core reactor under test using voltage transformers (PT) and current transformers (CT). and current data.

[0086] In practical implementation, the voltage at the port of the dry-type air-core reactor is collected by voltage transformers and current transformers. and current The data is processed, and voltage is filtered out using the averaging method. and current The white noise, random noise, and other clutter components of the data are extracted using Fourier transform to obtain the filtered voltage. and current The 5th and 7th harmonic components of the data, along with the fundamental frequency component, yield harmonic voltage data, fundamental frequency voltage data, harmonic current data, and fundamental frequency current data. Lissajous curves are then plotted using these data. This invention utilizes the characteristics of higher harmonics to effectively improve the detection sensitivity.

[0087] Specifically, the harmonic voltage data, fundamental voltage data, harmonic current data, and fundamental current data include the fundamental voltage amplitude U1, the fundamental current amplitude I1, and the angle between the fundamental voltage and fundamental current signals. The angle θ between harmonic voltage and fundamental voltage k The fundamental angular velocity is ω, the harmonic order is k, the upper limit of the harmonic order is n, and the harmonic voltage amplitude is U. k Harmonic current amplitude I k The angle between harmonic voltage and harmonic current signals The angle δ between the harmonic current and the fundamental current signal k wait.

[0088] Optionally, step S14 includes the following steps S21-S25:

[0089] S21. Based on harmonic voltage data, fundamental voltage data, harmonic current data, and fundamental current data, construct the voltage equation corresponding to the voltage data and the current equation corresponding to the current data.

[0090] S22. Combining the voltage equation and the current equation, generate the target equation; the calculation formula for the target equation is as follows:

[0091]

[0092] In the formula, U1 is the amplitude of the fundamental voltage, I1 is the amplitude of the fundamental current, and θ k U is the angle between the harmonic voltage and the fundamental voltage, k is the harmonic order, n is the upper limit of the harmonic order, and U is the harmonic voltage. k I represents the harmonic voltage amplitude. k δ represents the amplitude of the harmonic current. k The angle between the harmonic current and the fundamental current signal;

[0093] S23. Input the voltage and current data of the reactor under test into the target equation, and calculate the function values ​​corresponding to the voltage and current data respectively.

[0094] S24. Use the discrete sampling method to extract multiple discrete points of voltage and current data in the target equation;

[0095] S25. Divide the system into horizontal and vertical axes according to the function values ​​corresponding to each discrete point, and plot the Lissajous curve of the reactor under test based on the discrete points on the horizontal and vertical axes.

[0096] It should be noted that the expression for the voltage equation is:

[0097]

[0098] The expression for the current equation is:

[0099]

[0100] In the formula, u(t) is the voltage signal, i(t) is the current signal, U1 is the fundamental voltage amplitude, I1 is the fundamental current amplitude, and θ k U is the angle between the harmonic voltage and the fundamental voltage, k is the harmonic order, n is the upper limit of the harmonic order, and U is the harmonic voltage. k I represents the harmonic voltage amplitude. k The amplitude of the harmonic current. δ is the angle between the harmonic voltage and harmonic current signals. k ω is the angle between the harmonic current and the fundamental current signal, ω is the fundamental angular velocity, and t is time.

[0101] Eliminating the parameter ωt in equations (1) and (2), we can obtain the expression of the objective equation for y and x in equation (3). Further, we perform simultaneous discrete sampling of the above signals, eliminate the time variable, calculate the function values ​​of each voltage and current data through equation (3), and use the sine, cosine, or tangent function values ​​of each discrete point as the horizontal and vertical axes, respectively, and plot the bowditch curve (i.e., Lissajous curve). When the reactor fails, the bowditch curve will change.

[0102]

[0103] In the formula, U1 is the amplitude of the fundamental voltage, I1 is the amplitude of the fundamental current, and θ k U is the angle between the harmonic voltage and the fundamental voltage, k is the harmonic order, n is the upper limit of the harmonic order, and U is the harmonic voltage. k I represents the harmonic voltage amplitude. k δ represents the amplitude of the harmonic current. k It is the angle between the harmonic current and the fundamental current signal.

[0104] Step 202: Extract the characteristic parameters of the Lissajous curve of the reactor under test.

[0105] Optionally, step 202 includes the following step S31:

[0106] S31. Extract the characteristic parameters of the Lissajous curve of the reactor under test; among which, the characteristic parameters include the tilt angle, major axis and minor axis;

[0107] The formula for calculating the tilt angle is:

[0108]

[0109] The formula for extracting the major axis is:

[0110]

[0111] The formula for extracting the minor axis is:

[0112]

[0113] In the formula, θ is the tilt angle, a is the major axis, b is the minor axis, U1 is the fundamental voltage amplitude, I1 is the fundamental current amplitude, and θ k U is the angle between the harmonic voltage and the fundamental voltage, k is the harmonic order, n is the upper limit of the harmonic order, and U is the harmonic voltage. k I represents the harmonic voltage amplitude. k δ represents the amplitude of the harmonic current. k It is the angle between the harmonic current and the fundamental current signal.

[0114] It should be noted that, according to Figure 3 As shown, real-time voltage and current data of the dry-type air-core reactor are obtained through the current transformer, the fundamental and harmonic components of the data are extracted, and the bowditch curve of the dry-type air-core reactor is plotted. The tilt angle θ, major axis a, minor axis b and other parameters of the bowditch curve are extracted by the following formulas (4) to (6).

[0115]

[0116] In the formula, θ is the tilt angle, a is the major axis, b is the minor axis, U1 is the fundamental voltage amplitude, I1 is the fundamental current amplitude, and θ k U is the angle between the harmonic voltage and the fundamental voltage, k is the harmonic order, n is the upper limit of the harmonic order, and U is the harmonic voltage. k I represents the harmonic voltage amplitude. k δ represents the amplitude of the harmonic current. k It is the angle between the harmonic current and the fundamental current signal.

[0117] Step 203: Obtain the tilt angle, major axis, and minor axis of the Lissajous curve of the reactor under normal conditions.

[0118] It should be noted that the tilt angle θ1, major axis a1, and minor axis b1 of the Lissajous curve of the reactor under normal conditions are obtained from the database.

[0119] Step 204: Using the tilt angle, major axis, and minor axis of the Lissajous curve of the reactor under normal conditions and the tilt angle, major axis, and minor axis of the Lissajous curve of the reactor under test, calculate the covariance between the reactor under normal conditions and the reactor under test.

[0120] It should be noted that the inclination angle, major axis, and minor axis of the Lissajous curve of the dry-type air-core reactor under test are set as θ2, a2, and b2, respectively. The covariance COV(X,Y) between the inclination angle θ1, major axis a1, and minor axis b1 of the Lissajous curve of the reactor under normal conditions and the inclination angle θ2, major axis a2, and minor axis b2 of the Lissajous curve of the dry-type air-core reactor under test is calculated using the following formula:

[0121]

[0122] The covariance between the reactor under normal conditions and the dry-type air-core reactor under test is calculated using equation (7).

[0123] Step 205: Determine whether the covariance value is greater than the preset variance threshold, and determine the fault state of the reactor under test based on the determination result.

[0124] Optionally, step 205 includes the following steps S41-S43:

[0125] S41. Determine whether the covariance value is greater than the preset variance threshold;

[0126] S42. If the variance is greater than the preset variance threshold, the current state of the reactor under test is determined to be a short circuit fault between reactor turns.

[0127] S43. If the variance is less than or equal to the preset variance threshold, the current state of the reactor under test is determined to be fault-free.

[0128] It should be noted that the preset variance threshold is 255000.

[0129] For specific implementation, please refer to Figure 4 The image shows a waveform comparison between the bowditch curves of the reactor under normal conditions and the bowditch curve of the dry-type air-core reactor under test. When the covariance between the two curves is greater than 255000, the dry-type air-core reactor has a fault, and the fault condition is proportional to the covariance value. This indicator is used to determine the inter-turn short-circuit fault condition of the dry-type air-core reactor. When the covariance is less than or equal to 255000, the reactor under test is considered to be fault-free.

[0130] Specifically, because the bowditch curve is plotted using higher harmonic and fundamental frequency data obtained through Fourier transform, and because the harmonics are rich in reactor winding parameter information, their characteristics effectively improve the sensitivity of inter-turn short-circuit fault detection in dry-type air-core reactors. (See also...) Figures 5 to 6 As shown, Figure 5 The bowditch curve results include 10% of the 5th harmonic and the fundamental frequency, while Figure 6 The bowditch curve results, which include 4% of the 7th harmonic and the fundamental frequency, show the trends of each parameter as shown in Table 1 below:

[0131] Table 1. Trends in the variation of each parameter

[0132] Fault type Major axis Minor axis Inclination angle Inter-turn short circuit Gradually increasing Substantially constant Substantially constant

[0133] Specifically, the values ​​of the major axis, minor axis, and tilt angle parameters for each fault state in the bowditch curve containing 10% of the 5th harmonic and the fundamental frequency are shown in Table 2 below:

[0134] Table 2. Specific values ​​of major axis, minor axis, and tilt angle parameters for each fault condition.

[0135] Winding condition Inclination angle Major axis Minor axis Normal 0.0572 1100 61.0 5-turn short circuit 0.0672 1102.3 61.1 10-turn short circuit 0.0452 1104.9 61.0 30-turn short circuit 0.0543 1112.4 60.9

[0136] In this embodiment of the invention, X = 0.0572110061, Y1 = 0.06721102.361.1, Y2 = 0.04521104.961.0, Y3 = 0.05431112.460.9. According to the covariance calculation formula, COV(X,Y1) = 255324.3972. Similarly, COV(X,Y2) = 255956.0191 and COV(X,Y3) = 257748.1651. It can be seen that the covariance data of the three sets are all greater than 25500, indicating that the dry-type air-core reactor has a fault.

[0137] Example 3

[0138] Please seeFigure 7 , Figure 7 This is a structural block diagram of a reactor fault detection system provided in Embodiment 3 of the present invention.

[0139] The present invention provides a reactor fault detection system, comprising:

[0140] The plotting module 701 is used to plot the Lissajous curve of the reactor under test using the voltage and current data of the reactor under test.

[0141] Extraction module 702 is used to extract the characteristic parameters of the Lissajous curve of the reactor under test;

[0142] Calculation module 703 is used to calculate the covariance between the characteristic parameters of the Lissajous curves corresponding to the reactor and the reactor under test under normal conditions.

[0143] The judgment module 704 is used to determine whether the covariance value is greater than the preset variance threshold, and to determine the fault state of the reactor under test based on the judgment result.

[0144] Optionally, the drawing module 701 includes:

[0145] The data acquisition submodule is used to acquire voltage and current data of the reactor under test.

[0146] The preprocessing submodule is used to preprocess voltage and current data using the mean method;

[0147] The extraction submodule is used to extract the preprocessed voltage and current data using the Fourier transform extraction method to obtain harmonic voltage data, fundamental voltage data, harmonic current data, and fundamental current data.

[0148] The plotting submodule is used to plot the Lissajous curve of the reactor under test using harmonic voltage data, fundamental voltage data, harmonic current data, and fundamental current data.

[0149] Optionally, the drawing submodule includes:

[0150] The submodule is used to construct voltage equations corresponding to voltage data and current equations corresponding to current data based on harmonic voltage data, fundamental voltage data, harmonic current data, and fundamental current data.

[0151] The objective equation submodule is used to combine the voltage equation and the current equation to generate the objective equation; the calculation formula for the objective equation is as follows:

[0152]

[0153] In the formula, U1 is the amplitude of the fundamental voltage, I1 is the amplitude of the fundamental current, and θ kU is the angle between the harmonic voltage and the fundamental voltage, k is the harmonic order, n is the upper limit of the harmonic order, and U is the harmonic voltage. k I represents the harmonic voltage amplitude. k δ represents the amplitude of the harmonic current. k The angle between the harmonic current and the fundamental current signal;

[0154] The function value submodule is used to input the voltage and current data of the reactor under test into the target equation and calculate the function values ​​corresponding to the voltage and current data, respectively.

[0155] The discrete point submodule is used to extract multiple discrete points of voltage and current data in the objective equation using a discrete sampling method.

[0156] The sub-module is used to divide the system into horizontal and vertical axes according to the function values ​​corresponding to each discrete point, and to plot the Lissajous curve of the reactor under test based on the discrete points on the horizontal and vertical axes.

[0157] Optionally, the extraction module 702 includes:

[0158] The tilt angle submodule is used to extract the characteristic parameters of the Lissajous curve of the reactor under test; among which, the characteristic parameters include the tilt angle, major axis and minor axis;

[0159] The formula for calculating the tilt angle is:

[0160]

[0161] The formula for extracting the major axis is:

[0162]

[0163] The formula for extracting the minor axis is:

[0164]

[0165] In the formula, θ is the tilt angle, a is the major axis, b is the minor axis, U1 is the fundamental voltage amplitude, I1 is the fundamental current amplitude, and θ k U is the angle between the harmonic voltage and the fundamental voltage, k is the harmonic order, n is the upper limit of the harmonic order, and U is the harmonic voltage. k I represents the harmonic voltage amplitude. k δ represents the amplitude of the harmonic current. k It is the angle between the harmonic current and the fundamental current signal.

[0166] Optionally, the computing module 703 includes:

[0167] The acquisition submodule is used to acquire the tilt angle, major axis, and minor axis of the Lissajous curve of the reactor under normal conditions;

[0168] The covariance submodule is used to calculate the covariance between the reactor under normal conditions and the reactor under test by using the tilt angle, major axis, and minor axis of the Lissajous curve of the reactor under normal conditions and the tilt angle, major axis, and minor axis of the Lissajous curve of the reactor under test.

[0169] Optionally, the determination module 704 includes:

[0170] The judgment submodule is used to determine whether the covariance value is greater than a preset variance threshold;

[0171] The fault submodule is used to determine that the current state of the reactor under test is a short circuit fault between the turns if the variance is greater than a preset variance threshold.

[0172] The "No Fault" submodule is used to determine that the current state of the reactor under test is "No Fault" if the variance is less than or equal to a preset variance threshold.

[0173] Example 4

[0174] Please see Figure 8 , Figure 8 This is a structural block diagram of an electronic device provided in Embodiment 4 of the present invention.

[0175] An electronic device according to an embodiment of the present invention includes: a memory 801 and a processor 802. The memory 801 stores a computer program. When the computer program is executed by the processor 802, the processor 802 performs a reactor fault detection method as described in any of the above embodiments.

[0176] Memory 801 may be an electronic memory such as flash memory, EEPROM (Electrically Erasable Programmable Read-Only Memory), EPROM, hard disk, or ROM. Memory 801 has storage space 803 for program code 813 for performing any of the method steps described above. For example, storage space 803 for program code may include various program codes 813 for implementing the various steps in the methods described above. This program code may be read from or written to one or more computer program products. These computer program products include program code carriers such as hard disks, compact discs (CDs), memory cards, or floppy disks. The program code may be compressed, for example, in a suitable form. When run by a computing processing device, this code causes the computing processing device to perform the various steps in the reactor fault detection method described above.

[0177] Example 5

[0178] Embodiment 5 of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed, implements the reactor fault detection method as described in any embodiment of the present invention.

[0179] Example 6

[0180] Embodiment 6 of the present invention provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions, wherein when the program instructions are executed by a computer, the computer performs a reactor fault detection method as described in any embodiment of the present invention.

[0181] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0182] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection between apparatuses or units through some interfaces, and may be electrical, mechanical, or other forms.

[0183] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0184] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0185] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0186] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method of detecting a fault in a reactor, characterized by, The application relates to a method for determining the fault state of a reactor. The method comprises the following steps: drawing a Lissajous curve of the reactor to be tested by using voltage data and current data of the reactor to be tested; extracting characteristic parameters of the Lissajous curve of the reactor to be tested; calculating the covariance value between the characteristic parameters of the Lissajous curves corresponding to the reactor in a normal state and the reactor to be tested respectively; judging whether the covariance value is greater than a preset variance threshold value, and determining the fault state of the reactor to be tested according to the judgment result; the step of drawing the Lissajous curve of the reactor to be tested by using voltage data and current data of the reactor to be tested comprises the following steps: collecting voltage data and current data of the reactor to be tested; preprocessing the voltage data and the current data by using a mean value method; extracting the preprocessed voltage data and current data by using a Fourier transform extraction method to obtain harmonic voltage data, fundamental wave voltage data, harmonic current data and fundamental wave current data; drawing the Lissajous curve of the reactor to be tested by using the harmonic voltage data, the fundamental wave voltage data, the harmonic current data and the fundamental wave current data; the step of drawing the Lissajous curve of the reactor to be tested by using the harmonic voltage data, the fundamental wave voltage data, the harmonic current data and the fundamental wave current data comprises the following steps: constructing a voltage equation corresponding to the voltage data and a current equation corresponding to the current data based on the harmonic voltage data, the fundamental wave voltage data, the harmonic current data and the fundamental wave current data; ； wherein is the fundamental voltage amplitude, is the fundamental current amplitude, is the angle between the harmonic voltage and the fundamental voltage, k is the harmonic number, and n is the upper limit of the harmonic number, is the harmonic voltage amplitude, is the harmonic current amplitude, is the angle between the harmonic current and the fundamental current signal; generating a target equation by combining the voltage equation and the current equation; wherein the calculation formula of the target equation is: inputting the voltage data and the current data of the reactor to be tested into the target equation to calculate the function values corresponding to the voltage data and the current data respectively; extracting a plurality of discrete points of the voltage data and the current data in the target equation by using a discrete sampling method; 2. The method of claim 1, wherein, dividing the horizontal axis and the vertical axis according to the function values of the discrete points, and drawing the Lissajous curve of the reactor to be tested based on the discrete points on the horizontal axis and the vertical axis. the step of extracting the characteristic parameters of the Lissajous curve of the reactor to be tested comprises the following steps: extracting the characteristic parameters of the Lissajous curve of the reactor to be tested; wherein the characteristic parameters include an inclination angle, a major axis and a minor axis; ； the extraction calculation formula of the inclination angle is: ； the extraction calculation formula of the major axis is: ； wherein is the tilt angle, is the long axis, is the short axis, is the fundamental voltage amplitude, is the fundamental current amplitude, is the angle between the harmonic voltage and the fundamental voltage, k is the harmonic number, and n is the upper limit of the harmonic number, is the harmonic voltage amplitude, is the harmonic current amplitude, is the angle between the harmonic current and the fundamental current signal.

3. The method of claim 2, wherein, the extraction calculation formula of the minor axis is: the step of calculating the covariance value between the characteristic parameters of the Lissajous curves corresponding to the reactor in a normal state and the reactor to be tested respectively comprises the following steps: obtaining the inclination angle, the major axis and the minor axis of the Lissajous curve of the reactor in a normal state; 4. The method of claim 1, wherein, calculating the covariance value between the reactor in a normal state and the reactor to be tested by using the inclination angle, the major axis and the minor axis of the Lissajous curve of the reactor in a normal state and the inclination angle, the major axis and the minor axis of the Lissajous curve of the reactor to be tested. the step of judging whether the covariance value is greater than a preset variance threshold value, and determining the fault state of the reactor to be tested according to the judgment result comprises the following steps: judging whether the covariance value is greater than a preset variance threshold value; If greater than the preset variance threshold, it is determined that the current state of the to-be-tested reactor is that there is a short-circuit fault between turns of the reactor; If less than or equal to the preset variance threshold, it is determined that the current state of the to-be-tested reactor is that there is no fault.

5. A reactor fault detection system characterized by, The method comprises the steps of: drawing a Lissajous curve of the to-be-tested reactor by using voltage data and current data of the to-be-tested reactor; extracting a characteristic parameter of the Lissajous curve of the to-be-tested reactor; calculating a covariance value between the characteristic parameters of the Lissajous curves corresponding to the to-be-tested reactor and a normal-state reactor respectively; judging whether the covariance value is greater than a preset variance threshold, and determining a fault state of the to-be-tested reactor according to a judgment result; The drawing module comprises: an acquisition submodule for acquiring voltage data and current data of the to-be-tested reactor; a preprocessing submodule for preprocessing the voltage data and the current data by using a mean value method; an extraction submodule for extracting the preprocessed voltage data and current data by using a Fourier transform extraction method to obtain harmonic voltage data, fundamental wave voltage data, harmonic current data and fundamental wave current data; a drawing submodule for drawing the Lissajous curve of the to-be-tested reactor by using the harmonic voltage data, the fundamental wave voltage data, the harmonic current data and the fundamental wave current data; The drawing submodule comprises: a construction submodule for constructing a voltage equation corresponding to the voltage data and a current equation corresponding to the current data based on the harmonic voltage data, the fundamental wave voltage data, the harmonic current data and the fundamental wave current data; a target equation submodule for generating a target equation by combining the voltage equation and the current equation; wherein a calculation formula of the target equation is: ； wherein is the fundamental voltage amplitude, is the fundamental current amplitude, is the angle between the harmonic voltage and the fundamental voltage, k is the harmonic number, and n is the upper limit of the harmonic number, is the harmonic voltage amplitude, is the harmonic current amplitude, is the angle between the harmonic current and the fundamental current signal; a function value submodule for inputting the voltage data and the current data of the to-be-tested reactor into the target equation to calculate function values corresponding to the voltage data and the current data respectively; a discrete point submodule for extracting a plurality of discrete points of the voltage data and the current data in the target equation by using a discrete sampling method; a division submodule for dividing into a horizontal axis and a vertical axis according to the function values of the discrete points, and drawing the Lissajous curve of the to-be-tested reactor based on the discrete points on the horizontal axis and the vertical axis.

6. An electronic device, comprising: The computer program is executed to implement the reactor fault detection method of any one of claims 1-4.

7. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed to implement the reactor fault detection method of any one of claims 1-4.

8. A computer program product, characterised in that, The computer program product comprises a computer program stored on a non-transitory computer-readable storage medium, and the computer program comprises program instructions, wherein when the program instructions are executed by a computer, the computer executes the reactor fault detection method of any one of claims 1-4.

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