Turn-to-turn short circuit fault diagnosis method and device for dry-type air-core reactor, computer equipment, readable storage medium and program product

Abstract

The invention relates to a turn-to-turn short circuit fault diagnosis method, device and equipment for a dry-type air-core reactor, a readable storage medium and a program product, and relates to the technical field of electric power safety. By adopting the method, the initial turn-to-turn short circuit condition of the reactor can be detected in time, and the accuracy of fault diagnosis is improved. The method comprises the following steps: obtaining a reconstruction signal according to historical voltage and current data of the dry-type air-core reactor; on the basis of the reconstruction signal, constructing a Bowdrill curve, and calculating a characteristic parameter of the Bowdrill curve; calculating the change rate of the current state of the characteristic parameters relative to the health state, and obtaining the weight corresponding to the change rate through an entropy weight method; determining a standard value for judging the fault according to the change rate and the weight, and taking a target standard value corresponding to the target fault degree as a fault threshold value; and obtaining a current standard value according to the current voltage and current data of the dry-type air-core reactor, and comparing the current standard value with a fault threshold to obtain a turn-to-turn short circuit fault diagnosis result of the dry-type air-core reactor.

Description

Technical Field

[0001] The present application relates to the field of electric power safety technology, and in particular to a method, device, computer equipment, computer-readable storage medium and computer program product for diagnosing turn-to-turn short-circuit faults of dry-type air-core reactors. Background Art

[0002] Dry-type air-core reactors are important equipment for power quality control, and their main part is composed of tightly wound coils. The number of turns of the wound wire is large, so turn-to-turn short-circuit faults are prone to occur during use, which will lead to equipment performance degradation and even equipment damage. In severe cases, the reactor will catch fire or even burn, causing serious safety hazards and economic losses to the power system.

[0003] In traditional technologies, the turn-to-turn short-circuit fault diagnosis methods for dry-type air-core reactors mainly include spatial magnetic field detection method, electrical parameter detection method, frequency response method, etc. However, in the early stage of reactor failure, due to the slight change in the internal winding state, the existing turn-to-turn short-circuit fault diagnosis methods have poor sensitivity and mainly rely on offline detection. In addition, some detection methods will damage the reactor body, affecting the normal operation of the reactor, and cannot detect the early turn-to-turn short-circuit condition of the reactor in time. Summary of the invention

[0004] Based on this, it is necessary to provide a method, device, computer equipment, computer-readable storage medium and computer program product for diagnosing inter-turn short-circuit faults of dry-type air-core reactors in response to the above technical problems.

[0005] In a first aspect, the present application provides a method for diagnosing a turn-to-turn short-circuit fault of a dry-type air-core reactor, comprising:

[0006] Acquire historical voltage and current data of the dry-type air-core reactor in a normal state and a fault state, and obtain a reconstructed signal according to the historical voltage and current data;

[0007] Based on the reconstructed signal, construct a Bowditch curve, and calculate characteristic parameters of the Bowditch curve;

[0008] Calculate the change rate of the current state of the characteristic parameter compared to the healthy state, and obtain the weight corresponding to the change rate by entropy weight method;

[0009] Determine a standard value for judging a fault according to the change rate and the weight, and use the target standard value corresponding to the target fault degree as a fault threshold;

[0010] According to the current voltage and current data of the dry-type air-core reactor, the current standard value of the dry-type air-core reactor is obtained, and the current standard value is compared with the fault threshold to obtain the turn-to-turn short-circuit fault diagnosis result of the dry-type air-core reactor.

[0011] In one embodiment, obtaining the weight corresponding to the change rate by using an entropy weight method includes:

[0012] The change rate is data standardized, and the standardized change rate is normalized to obtain the proportion corresponding to the change rate; based on the proportion, the entropy value corresponding to the change rate is determined, and based on the entropy value, the difference coefficient of the change rate is calculated; the difference coefficient is input into a preset weight calculation model to obtain the weight output by the weight calculation model.

[0013] In one embodiment, before calculating the change rate of the current state of the characteristic parameter compared to the healthy state, the method further includes:

[0014] According to the interval of the fault degree, the corresponding state type is determined; the state type includes the healthy state, slight fault, moderate fault and severe fault; according to the state type, the characteristic parameter is labeled and classified to obtain the current state of the characteristic parameter.

[0015] In one embodiment, the method further comprises:

[0016] A standard value-fault degree scatter plot is constructed by taking the fault degree as the horizontal axis and the standard value as the vertical axis; in the standard value-fault degree scatter plot, curve fitting is performed on the points corresponding to the fault degree and the standard value to obtain a standard value-fault degree curve.

[0017] In one embodiment, the comparing the current standard value with the fault threshold to obtain the turn-to-turn short circuit fault diagnosis result of the dry-type air-core reactor includes:

[0018] The current standard value is compared with the fault threshold to obtain a numerical comparison result; when the numerical comparison result is that the current standard value is greater than or equal to the fault threshold, the turn-to-turn short-circuit fault diagnosis result is confirmed as a fault has occurred; when the numerical comparison result is that the current standard value is less than the fault threshold, the turn-to-turn short-circuit fault diagnosis result is confirmed as no fault has occurred.

[0019] In one embodiment, the method further comprises:

[0020] When the turn-to-turn short-circuit fault diagnosis result is a fault, the target interval in which the current standard value is located is determined, and the target state type of the current standard value is determined based on the target interval; the target state type includes the minor fault, the moderate fault, and the severe fault; based on the target state type, the turn-to-turn short-circuit fault result is updated, and the warning level is determined based on the updated turn-to-turn short-circuit fault result.

[0021] In a second aspect, the present application also provides a turn-to-turn short-circuit fault diagnosis device for a dry-type air-core reactor, comprising:

[0022] A data acquisition module, used to acquire historical voltage and current data of the dry-type air-core reactor in a normal state and a fault state, and obtain a reconstructed signal according to the historical voltage and current data;

[0023] A parameter calculation module, used for constructing a Bowditch curve based on the reconstructed signal, and calculating characteristic parameters of the Bowditch curve;

[0024] A weight acquisition module, used to calculate the change rate of the current state of the characteristic parameter compared to the healthy state, and obtain the weight corresponding to the change rate by entropy weight method;

[0025] A threshold determination module, used to determine a standard value for judging a fault according to the change rate and the weight, and use a target standard value corresponding to a target fault degree as a fault threshold;

[0026] The data comparison module is used to obtain the current standard value of the dry-type air-core reactor according to the current voltage and current data of the dry-type air-core reactor, compare the current standard value with the fault threshold value, and obtain the turn-to-turn short-circuit fault diagnosis result of the dry-type air-core reactor.

[0027] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0028] Obtain historical voltage and current data of the dry-type air-core reactor in a normal state and a fault state, and obtain a reconstructed signal based on the historical voltage and current data; construct a Bowditch curve based on the reconstructed signal, and calculate the characteristic parameter of the Bowditch curve; calculate the change rate of the current state of the characteristic parameter compared to the healthy state, and obtain the weight corresponding to the change rate through the entropy weight method; determine the standard value for judging the fault based on the change rate and the weight, and use the target standard value corresponding to the target fault degree as the fault threshold; obtain the current standard value of the dry-type air-core reactor based on the current voltage and current data of the dry-type air-core reactor, compare the current standard value with the fault threshold, and obtain the turn-to-turn short-circuit fault diagnosis result of the dry-type air-core reactor.

[0029] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0030] Obtain historical voltage and current data of the dry-type air-core reactor in a normal state and a fault state, and obtain a reconstructed signal based on the historical voltage and current data; construct a Bowditch curve based on the reconstructed signal, and calculate the characteristic parameter of the Bowditch curve; calculate the change rate of the current state of the characteristic parameter compared to the healthy state, and obtain the weight corresponding to the change rate through the entropy weight method; determine the standard value for judging the fault based on the change rate and the weight, and use the target standard value corresponding to the target fault degree as the fault threshold; obtain the current standard value of the dry-type air-core reactor based on the current voltage and current data of the dry-type air-core reactor, compare the current standard value with the fault threshold, and obtain the turn-to-turn short-circuit fault diagnosis result of the dry-type air-core reactor.

[0031] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0032] Obtain historical voltage and current data of the dry-type air-core reactor in a normal state and a fault state, and obtain a reconstructed signal based on the historical voltage and current data; construct a Bowditch curve based on the reconstructed signal, and calculate the characteristic parameter of the Bowditch curve; calculate the change rate of the current state of the characteristic parameter compared to the healthy state, and obtain the weight corresponding to the change rate through the entropy weight method; determine the standard value for judging the fault based on the change rate and the weight, and use the target standard value corresponding to the target fault degree as the fault threshold; obtain the current standard value of the dry-type air-core reactor based on the current voltage and current data of the dry-type air-core reactor, compare the current standard value with the fault threshold, and obtain the turn-to-turn short-circuit fault diagnosis result of the dry-type air-core reactor.

[0033] The above-mentioned turn-to-turn short-circuit fault diagnosis method, device, computer equipment, computer-readable storage medium and computer program product of dry-type air-core reactor collect historical voltage and current data of dry-type air-core reactor by using high-precision mutual inductor, and construct Bowditch curve based on this, and finally extract image data in Bowditch curve to give fault diagnosis result by entropy weight method, so as to realize real-time monitoring and diagnosis of turn-to-turn short-circuit fault of dry-type air-core reactor. This application fully integrates the advantages of Bowditch curve analysis method and entropy weight method, effectively makes up for the defects of poor sensitivity and offline detection of existing turn-to-turn short-circuit fault diagnosis method, and effectively avoids misjudgment caused by human diagnosis, and can timely detect the initial turn-to-turn short-circuit condition of reactor, thereby improving the accuracy of fault diagnosis. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0035] FIG1 is an application environment diagram of a method for diagnosing turn-to-turn short-circuit faults of a dry-type air-core reactor in one embodiment;

[0036] Figure 2 1 is a flow chart of a method for diagnosing a turn-to-turn short-circuit fault of a dry-type air-core reactor in one embodiment;

[0037] Figure 3 It is a flowchart of a step of obtaining a weight corresponding to a change rate by using an entropy weight method in one embodiment;

[0038] Figure 4 A scatter diagram of standard value and fault degree in one embodiment;

[0039] Figure 5 is a schematic diagram of a standard value-fault degree curve in one embodiment;

[0040] Figure 6 A schematic diagram of an intelligent diagnosis system for inter-turn short-circuit fault of a dry-type air-core reactor in one embodiment;

[0041] Figure 7 It is a flowchart of a method for diagnosing a turn-to-turn short-circuit fault of a dry-type air-core reactor in a specific embodiment;

[0042] Figure 8 A structural block diagram of a turn-to-turn short-circuit fault diagnosis device for a dry-type air-core reactor in one embodiment;

[0043] FIG. 9 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0045] The turn-to-turn short-circuit fault diagnosis method of the dry-type air-core reactor provided in the embodiment of the present application can be applied in the application environment shown in FIG1. ​​The terminal communicates with the server through a network. The data storage system can store data that the server needs to process. The data storage system can be integrated on the server, or placed on the cloud or other network servers.

[0046] Specifically, the turn-to-turn short-circuit fault diagnosis method for a dry-type air-core reactor provided in an embodiment of the present application can be executed by a server.

[0047] Exemplarily, the server obtains historical voltage and current data of the dry-type air-core reactor in a normal state and a fault state, and obtains a reconstructed signal based on the historical voltage and current data; the server constructs a Bowditch curve based on the reconstructed signal, and calculates the characteristic parameters of the Bowditch curve; the server calculates the rate of change of the current state of the characteristic parameter compared to the healthy state, and obtains the weight corresponding to the rate of change through the entropy weight method; the server determines the standard value for judging the fault based on the rate of change and the weight, and uses the target standard value corresponding to the target fault degree as the fault threshold; the server obtains the current standard value of the dry-type air-core reactor based on the current voltage and current data of the dry-type air-core reactor, compares the current standard value with the fault threshold, and obtains the turn-to-turn short-circuit fault diagnosis result of the dry-type air-core reactor.

[0048] In the application environment shown in FIG1 , the terminal may be, but is not limited to, various personal computers, notebook computers, smart phones, and tablet computers. The server may be implemented as an independent server or a server cluster consisting of multiple servers.

[0049] In one embodiment, Figure 2 As shown, a method for diagnosing a turn-to-turn short-circuit fault of a dry-type air-core reactor is provided, and the method is applied to the server in FIG1 as an example for explanation, and includes the following steps:

[0050] Step S201, obtaining historical voltage and current data of the dry-type air-core reactor in a normal state and a fault state, and obtaining a reconstructed signal according to the historical voltage and current data.

[0051] The historical voltage and current data include but are not limited to reactor historical data, model simulation data and network public data.

[0052] Specifically, in the above step S201, a large amount of voltage and current data of dry-type air-core reactors in normal and faulty states needs to be collected. By building a finite element simulation model of the actual reactor, a large amount of model simulation data is obtained by setting the health state and different fault locations, fault degrees, etc.; using mutual inductors to measure the actual data of the reactor in operation; collecting reactor historical data; and collecting online public data by consulting papers, public databases, etc. The voltage / current signal of the reactor port in the use data and , extract the power frequency component to reconstruct the voltage and current signals, and the reconstructed signal expression is as follows:

[0053] (1)

[0054] In the above formula, the frequency Take 50Hz, For extraction The amplitude of For extraction The amplitude of For extraction The phase of For extraction phase.

[0055] Step S202: construct a Bowditch curve based on the reconstructed signal, and calculate characteristic parameters of the Bowditch curve.

[0056] The characteristic parameters of the Bowditch curve can be the major axis a, the minor axis b and the inclination angle .

[0057] Specifically, the server constructs a Bowditch curve based on the reconstructed signal and calculates the characteristic parameters of the Bowditch curve (major axis a, minor axis b and tilt angle ), and display the image data and characteristic parameter data on the fault diagnosis system interface. The curve drawing and characteristic parameter calculation expressions are as follows:

[0058] (2)

[0059] (3)

[0060] (4)

[0061] (5)

[0062] Step S203, calculating the change rate of the current state of the characteristic parameter compared to the healthy state, and obtaining the weight corresponding to the change rate by using the entropy weight method.

[0063] Among them, the entropy weight method is a method commonly used in multi-attribute decision analysis and comprehensive evaluation. Its basic idea is to determine the weight by calculating the information entropy of each indicator, so as to make effective comparisons and decisions among multiple options.

[0064] Specifically, the server determines the current state of the characteristic parameters, compares all characteristic parameters with the healthy state to calculate their change rate, and then uses the entropy weight method to calculate the weight corresponding to the change rate of the characteristic parameter data.

[0065] Step S204, determining a standard value for judging a fault according to the change rate and the weight, and taking the target standard value corresponding to the target fault degree as a fault threshold.

[0066] Among them, the standard value for judging the fault can be used as a reference indicator for judging whether a turn-to-turn short-circuit fault occurs in a dry-type air-core reactor.

[0067] Specifically, after obtaining the change rate and weight, the standard value w for judging the fault can be calculated by the following formula, and this value is used as an indicator for judging whether a turn-to-turn short-circuit fault occurs in the dry-type air-core reactor. Indicates a-axis, b-axis, tilt angle Rate of change, Indicates a-axis, b-axis, tilt angle The weight of .

[0068] (6)

[0069] Step S205, obtaining the current standard value of the dry-type air-core reactor according to the current voltage and current data of the dry-type air-core reactor, comparing the current standard value with the fault threshold, and obtaining the turn-to-turn short-circuit fault diagnosis result of the dry-type air-core reactor.

[0070] Specifically, in the above step S205, the voltage transformer (PT) and the current transformer (CT) can be used to synchronously collect the voltage / current signal of the reactor port in a healthy state. and , and extract the power frequency component to reconstruct the voltage and current signals. The expression of the reconstructed signal is shown in formula (1). After using the reconstructed signal to draw the Bowditch curve, its characteristic parameters (major axis a, minor axis b and inclination angle) are calculated according to formulas (3) to (5). ), after obtaining the characteristic parameters, the current standard value w and the standard value when the fault degree is 2.5% are calculated For comparison, if The dry-type air-core reactor fails.

[0071] In the above-mentioned turn-to-turn short-circuit fault diagnosis method of dry-type air-core reactor, the historical voltage and current data of the dry-type air-core reactor are collected by using a high-precision mutual inductor, and a Bowditch curve is constructed based on this. Finally, the image data in the Bowditch curve is extracted and the fault diagnosis result is given by the entropy weight method, thereby realizing real-time monitoring and diagnosis of the turn-to-turn short-circuit fault of the dry-type air-core reactor. This application fully integrates the advantages of the Bowditch curve analysis method and the entropy weight method, effectively making up for the defects of the existing turn-to-turn short-circuit fault diagnosis method, which is poor in sensitivity and mainly based on offline detection, and effectively avoids the misjudgment caused by human diagnosis, and can timely detect the initial turn-to-turn short-circuit condition of the reactor, thereby improving the accuracy of fault diagnosis.

[0072] In one embodiment, if Figure 3 As shown, in the above step S203, the weight corresponding to the change rate is obtained by the entropy weight method, which specifically includes the following steps:

[0073] Step S301 , normalizing the change rate, and normalizing the normalized change rate to obtain a proportion corresponding to the change rate.

[0074] Step S302, determining the entropy value corresponding to the change rate according to the specific gravity, and calculating the difference coefficient of the change rate according to the entropy value.

[0075] Step S303, inputting the difference coefficient into a preset weight calculation model to obtain the weight output by the weight calculation model.

[0076] Specifically, in the entropy weight method, the following formula must be used to standardize the data first.

[0077] (7)

[0078] in, It represents the standardized value of the i-th evaluation object under the j-th indicator; Represents the original data of the i-th evaluation object under the j-th indicator; Indicates the minimum and maximum values ​​of the jth indicator. The standardized data is normalized and the proportion of each solution under each indicator is calculated.

[0079] (8)

[0080] in, It represents the weight of the i-th evaluation object under the j-th indicator; Represents the standardized data; Indicates the number of evaluation objects. After normalization, the entropy formula is used to measure the amount of information of the indicator. The larger the entropy value, the more dispersed the information of the indicator and the greater the uncertainty.

[0081] (9)

[0082] In the above formula, represents the entropy value of the jth indicator; k is a constant, usually ; It represents the weight of the i-th evaluation object under the j-th indicator, and then the coefficient of difference formula is used to calculate the coefficient of difference.

[0083] (10)

[0084] The coefficient of difference reflects the information utility of the indicator, where represents the coefficient of variation of the jth indicator, Represents the entropy value of the jth indicator. Finally, the weight formula is used to calculate the weight of each indicator. The larger the difference coefficient, the higher the weight.

[0085] (11)

[0086] In the above formula, represents the weight of the jth indicator; represents the coefficient of variation of the jth indicator; n represents the total number of indicators.

[0087] In one embodiment, before calculating the change rate of the current state of the characteristic parameter compared to the health state, the method of the present application further includes the following steps:

[0088] According to the range of the fault degree, the corresponding state type is determined; the state types include healthy state, slight fault, moderate fault and severe fault; according to the state type, the feature parameters are labeled and classified to obtain the current state of the feature parameters.

[0089] Specifically, the server adds label classification to all the Bowditch image data constructed above, which can be divided into "healthy winding", "mild fault", "moderate fault" and "severe fault" in this embodiment, where the fault degree is 2.5%~5% for "mild fault", 5%~10% for "moderate fault", and 10%~20% for "severe fault", thereby achieving accurate division of different state types and helping to improve the accuracy of fault diagnosis.

[0090] In one embodiment, after calculating the change rate of the current state of the characteristic parameter compared to the healthy state, the method of the present application further includes the following steps:

[0091] The fault degree is taken as the horizontal axis and the standard value is taken as the vertical axis to construct a standard value-fault degree scatter plot; in the standard value-fault degree scatter plot, curve fitting is performed on the points corresponding to the fault degree and the standard value to obtain a standard value-fault degree curve.

[0092] Specifically, the server uses the fault degree as the x-axis and the standard value as the y-axis to obtain the standard value-fault degree as follows: Figure 4 As shown, the data is then interpolated and curve fitted to obtain Figure 5 The schematic diagram of the standard value-fault degree curve shown in FIG. 1 takes the standard value w when the fault degree is 2.5% as the threshold for judging whether the dry-type air-core reactor has a fault, thereby effectively solving the problem of a single detection feature quantity in the existing turn-to-turn short-circuit fault detection method.

[0093] In one embodiment, in the above step S205, the current standard value is compared with the fault threshold value to obtain the turn-to-turn short circuit fault diagnosis result of the dry-type air-core reactor, which specifically includes the following steps:

[0094] The current standard value is compared with the fault threshold to obtain a numerical comparison result; when the numerical comparison result is that the current standard value is greater than or equal to the fault threshold, the turn-to-turn short-circuit fault diagnosis result is confirmed as a fault has occurred; when the numerical comparison result is that the current standard value is less than the fault threshold, the turn-to-turn short-circuit fault diagnosis result is confirmed as no fault has occurred.

[0095] After the turn-to-turn short circuit fault diagnosis result is confirmed as a fault, the method of the present application further includes the following steps:

[0096] When the diagnosis result of the turn-to-turn short-circuit fault is a fault, the target interval of the current standard value is determined, and the target state type of the current standard value is determined based on the target interval; the target state types include minor faults, moderate faults, and major faults; based on the target state type, the turn-to-turn short-circuit fault result is updated, and the warning level is determined based on the updated turn-to-turn short-circuit fault result.

[0097] Specifically, the server compares the current standard value with the fault threshold to obtain a numerical comparison result; when the numerical comparison result is that the current standard value is greater than or equal to the fault threshold, the turn-to-turn short-circuit fault diagnosis result is confirmed as a fault, the target interval in which the current standard value is located is determined, and the target state type of the current standard value is determined based on the target interval; according to the target state type, the turn-to-turn short-circuit fault result is updated, and the warning level is determined based on the updated turn-to-turn short-circuit fault result; when the numerical comparison result is that the current standard value is less than the fault threshold, the turn-to-turn short-circuit fault diagnosis result is confirmed as no fault has occurred.

[0098] In this embodiment, by using an intelligent algorithm to evaluate the working status of the reactor in real time, the initial turn-to-turn short circuit condition of the reactor can be detected in time, while avoiding misjudgment caused by human judgment, thereby improving the accuracy of fault diagnosis.

[0099] In one embodiment, a dry-type air-core reactor turn-to-turn short-circuit fault detection system is designed, and its schematic diagram is shown as follows: Figure 6 As shown in the figure, the main functions of the system include: real-time display of voltage and current waveforms measured by the transformer; real-time display of Bowditch curve comparison and characteristic parameters drawn by measurement data; intelligent diagnosis of dry-type air-core reactor winding status; database import, data storage, etc. The detection and diagnosis of inter-turn short-circuit faults of dry-type air-core reactors are realized based on the results of system interface image comparison and intelligent algorithm.

[0100] In one embodiment, Figure 7 As shown, a method for diagnosing a turn-to-turn short-circuit fault of a dry-type air-core reactor in a specific embodiment is provided, which specifically includes the following steps:

[0101] Step S701, obtaining historical voltage and current data of the dry-type air-core reactor in a normal state and a fault state, obtaining a reconstructed signal based on the historical voltage and current data; constructing a Bowditch curve based on the reconstructed signal, and calculating characteristic parameters of the Bowditch curve.

[0102] Step S702, determining the corresponding state type according to the interval of the fault degree; and classifying the characteristic parameters by labels according to the state type to obtain the current state of the characteristic parameters.

[0103] Step S703, using the fault degree as the horizontal axis and the standard value as the vertical axis to construct a standard value-fault degree scatter plot; in the standard value-fault degree scatter plot, curve fitting is performed on the points corresponding to the fault degree and the standard value to obtain a standard value-fault degree curve.

[0104] Step S704, calculate the change rate of the current state of the characteristic parameter compared to the healthy state, standardize the change rate, and normalize the standardized change rate to obtain the proportion corresponding to the change rate; determine the entropy value corresponding to the change rate based on the proportion, and calculate the difference coefficient of the change rate based on the entropy value; input the difference coefficient into a preset weight calculation model to obtain the weight output by the weight calculation model.

[0105] Step S705, determine the standard value for judging the fault according to the change rate and the weight, and use the target standard value corresponding to the target fault degree as the fault threshold; obtain the current standard value of the dry-type air-core reactor according to the current voltage and current data of the dry-type air-core reactor.

[0106] Step S706, compare the current standard value with the fault threshold to obtain a numerical comparison result; when the numerical comparison result is that the current standard value is greater than or equal to the fault threshold, the turn-to-turn short-circuit fault diagnosis result is confirmed as a fault; when the numerical comparison result is that the current standard value is less than the fault threshold, the turn-to-turn short-circuit fault diagnosis result is confirmed as no fault.

[0107] Step S707, when the turn-to-turn short-circuit fault diagnosis result is a fault, determine the target interval in which the current standard value is located, and determine the target state type of the current standard value according to the target interval; according to the target state type, update the turn-to-turn short-circuit fault result, and determine the warning level according to the updated turn-to-turn short-circuit fault result.

[0108] The beneficial effects brought by the above embodiments are as follows:

[0109] The dry-type air-core reactor turn-to-turn short-circuit fault diagnosis technology and system based on Bowditch curve and entropy weight method proposed in this application effectively solves the problems of existing turn-to-turn short-circuit fault detection methods mainly based on offline detection, poor sensitivity, and single detection feature quantity. This solution can timely detect the initial turn-to-turn short-circuit condition of the reactor. At the same time, the intelligent algorithm is used to evaluate the working status of the reactor in real time, avoiding misjudgment caused by human judgment and improving the accuracy of fault diagnosis.

[0110] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0111] Based on the same inventive concept, the embodiment of the present application also provides a dry-type air-core reactor turn-to-turn short-circuit fault diagnosis device for implementing the above-mentioned dry-type air-core reactor turn-to-turn short-circuit fault diagnosis method. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above-mentioned method, so the specific limitations in the embodiments of one or more dry-type air-core reactor turn-to-turn short-circuit fault diagnosis devices provided below can refer to the above-mentioned limitations on the dry-type air-core reactor turn-to-turn short-circuit fault diagnosis method, which will not be repeated here.

[0112] In an exemplary embodiment, Figure 8 As shown, a turn-to-turn short-circuit fault diagnosis device for a dry-type air-core reactor is provided, comprising:

[0113] The data acquisition module 801 is used to acquire the historical voltage and current data of the dry-type air-core reactor in a normal state and a fault state, and obtain a reconstructed signal according to the historical voltage and current data;

[0114] A parameter calculation module 802 is used to construct a Bowditch curve based on the reconstructed signal and calculate characteristic parameters of the Bowditch curve;

[0115] The weight acquisition module 803 is used to calculate the change rate of the current state of the characteristic parameter compared to the healthy state, and obtain the weight corresponding to the change rate by using the entropy weight method;

[0116] A threshold determination module 804 is used to determine a standard value for judging a fault according to the change rate and the weight, and to use a target standard value corresponding to a target fault degree as a fault threshold;

[0117] The data comparison module 805 is used to obtain the current standard value of the dry-type air-core reactor according to the current voltage and current data of the dry-type air-core reactor, compare the current standard value with the fault threshold value, and obtain the turn-to-turn short-circuit fault diagnosis result of the dry-type air-core reactor.

[0118] In one embodiment, the weight acquisition module 803 is also used to perform data standardization on the change rate, and normalize the standardized change rate to obtain the proportion corresponding to the change rate; determine the entropy value corresponding to the change rate based on the proportion, and calculate the difference coefficient of the change rate based on the entropy value; input the difference coefficient into a preset weight calculation model to obtain the weight output by the weight calculation model.

[0119] In one embodiment, the turn-to-turn short-circuit fault diagnosis device of a dry-type air-core reactor also includes a label classification module, which is used to determine the corresponding state type according to the interval of the fault degree; the state type includes healthy state, minor fault, moderate fault and major fault; according to the state type, the characteristic parameters are labeled and classified to obtain the current state of the characteristic parameters.

[0120] In one embodiment, the turn-to-turn short-circuit fault diagnosis device of a dry-type air-core reactor also includes a curve fitting module, which is used to construct a standard value-fault degree scatter plot using the fault degree as the horizontal coordinate and the standard value as the vertical coordinate; in the standard value-fault degree scatter plot, curve fitting is performed on the points corresponding to the fault degree and the standard value to obtain a standard value-fault degree curve.

[0121] In one embodiment, the data comparison module 805 is also used to compare the current standard value with the fault threshold to obtain a numerical comparison result; when the numerical comparison result is that the current standard value is greater than or equal to the fault threshold, the turn-to-turn short-circuit fault diagnosis result is confirmed as a fault has occurred; when the numerical comparison result is that the current standard value is less than the fault threshold, the turn-to-turn short-circuit fault diagnosis result is confirmed as no fault has occurred.

[0122] In one embodiment, the turn-to-turn short-circuit fault diagnosis device of a dry-type air-core reactor also includes a result updating module, which is used to determine the target interval in which the current standard value is located when the turn-to-turn short-circuit fault diagnosis result is a fault, and determine the target state type of the current standard value according to the target interval; the target state type includes a minor fault, a moderate fault, and a severe fault; according to the target state type, the turn-to-turn short-circuit fault result is updated, and the warning level is determined according to the updated turn-to-turn short-circuit fault result.

[0123] Each module in the above-mentioned dry-type air-core reactor inter-turn short-circuit fault diagnosis device can be implemented in whole or in part by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory in the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0124] In an exemplary embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be shown in FIG9. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected via a system bus, and the communication interface is connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a turn-to-turn short-circuit fault diagnosis method of a dry air-core reactor is implemented.

[0125] Those skilled in the art will understand that the structure shown in FIG. 9 is merely a block diagram of a partial structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0126] In one embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

[0127] 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.

[0128] 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.

[0129] 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.

[0130] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0131] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0132] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for diagnosing a turn-to-turn short-circuit fault of a dry-type air-core reactor, characterized in that: The method comprises: Acquire historical voltage and current data of the dry-type air-core reactor in a normal state and a fault state, and obtain a reconstructed signal according to the historical voltage and current data; Based on the reconstructed signal, construct a Bowditch curve, and calculate characteristic parameters of the Bowditch curve; Calculate the change rate of the current state of the characteristic parameter compared to the healthy state, and obtain the weight corresponding to the change rate by entropy weight method; Determine a standard value for judging a fault according to the change rate and the weight, and use the target standard value corresponding to the target fault degree as a fault threshold; According to the current voltage and current data of the dry-type air-core reactor, the current standard value of the dry-type air-core reactor is obtained, and the current standard value is compared with the fault threshold to obtain the turn-to-turn short-circuit fault diagnosis result of the dry-type air-core reactor.

2. The method according to claim 1, characterized in that The obtaining the weight corresponding to the change rate by using the entropy weight method includes: Performing data standardization on the change rate, and performing normalization processing on the standardized change rate to obtain a proportion corresponding to the change rate; Determining an entropy value corresponding to the change rate according to the specific gravity, and calculating a coefficient of difference of the change rate according to the entropy value; The difference coefficient is input into a preset weight calculation model to obtain the weight output by the weight calculation model.

3. The method according to claim 1, characterized in that Before calculating the change rate of the current state of the characteristic parameter compared to the healthy state, the method further includes: Determine the corresponding status type according to the interval of the fault degree; the status type includes the healthy state, slight fault, moderate fault and severe fault; According to the state type, the characteristic parameter is labeled and classified to obtain the current state of the characteristic parameter.

4. The method according to claim 3, characterized in that: The method further comprises: Taking the fault degree as the abscissa and the standard value as the ordinate, a standard value-fault degree scatter plot is constructed; In the standard value-fault degree scatter plot, curve fitting is performed on the points corresponding to the fault degree and the standard value to obtain a standard value-fault degree curve.

5. The method according to claim 1, characterized in that The comparing the current standard value with the fault threshold to obtain the turn-to-turn short circuit fault diagnosis result of the dry-type air-core reactor includes: Comparing the current standard value with the fault threshold to obtain a numerical comparison result; When the numerical comparison result shows that the current standard value is greater than or equal to the fault threshold, confirming the turn-to-turn short circuit fault diagnosis result as a fault; When the numerical comparison result is that the current standard value is smaller than the fault threshold, the turn-to-turn short circuit fault diagnosis result is confirmed as no fault has occurred.

6. The method according to claim 5, characterized in that The method further comprises: In the case where the turn-to-turn short-circuit fault diagnosis result is a fault, determining a target interval where the current standard value is located, and determining a target state type of the current standard value according to the target interval; the target state type includes a slight fault, a moderate fault, and a severe fault; The turn-to-turn short circuit fault result is updated according to the target state type, and a warning level is determined according to the updated turn-to-turn short circuit fault result.

7. A turn-to-turn short-circuit fault diagnosis device for a dry-type air-core reactor, characterized in that: The device comprises: A data acquisition module, used to acquire historical voltage and current data of the dry-type air-core reactor in a normal state and a fault state, and obtain a reconstructed signal according to the historical voltage and current data; A parameter calculation module, used for constructing a Bowditch curve based on the reconstructed signal, and calculating characteristic parameters of the Bowditch curve; A weight acquisition module, used to calculate the change rate of the current state of the characteristic parameter compared to the healthy state, and obtain the weight corresponding to the change rate by entropy weight method; A threshold determination module, used to determine a standard value for judging a fault according to the change rate and the weight, and use a target standard value corresponding to a target fault degree as a fault threshold; The data comparison module is used to obtain the current standard value of the dry-type air-core reactor according to the current voltage and current data of the dry-type air-core reactor, compare the current standard value with the fault threshold value, and obtain the turn-to-turn short-circuit fault diagnosis result of the dry-type air-core reactor.

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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