Distribution network cable fault point distance measuring method and related equipment

Abstract

One or more embodiments of the invention provide a power distribution network cable fault point distance measurement method and related equipment. The method comprises the following steps: collecting voltage waves and current waves of a main power line in a fault range; according to the voltage wave and the current wave, high-precision fault transient characteristics of the traveling wave are extracted through a preset transient characteristic analysis model; the transient characteristic analysis model is trained through the voltage wave and the current wave of the power main line before the fault and the voltage wave and the current wave of the power main line after the fault; determining a traveling wave head according to the high-precision fault transient characteristics; and determining the position of the fault point according to the time when the traveling wave head arrives at each detection point. According to the invention, the accuracy of cable fault point positioning in the power distribution network can be improved.

Description

Technical Field

[0001] One or more embodiments of the present application relate to the technical field of power systems, and in particular to a method for measuring distance to a distribution network cable fault point and related equipment. Background Art

[0002] The distribution network has a complex structure, numerous branches, and a large number of users. These characteristics make it vulnerable to external factors such as lightning strikes, strong winds, and fires during operation, leading to permanent or transient faults. The characteristics of transient faults are not obvious, and the fault point is hidden and difficult to find accurately, which often leads to extended maintenance time for distribution network faults, thereby affecting the reliability of power supply and the safety of users' electricity use. However, existing fault identification or isolation devices can only locate the fault section, but cannot accurately locate the fault point. Therefore, how to accurately locate the fault point is an important demand that needs to be urgently solved in the field of power system technology. Summary of the invention

[0003] In view of this, an object of one or more embodiments of the present application is to provide a method for measuring the distance to a distribution network cable fault point and related equipment to solve the problems raised by the background technology.

[0004] Based on the above objectives, one or more embodiments of the present application provide a method for measuring the distance of a cable fault point in a distribution network. The method comprises:

[0005] Collect voltage and current waves of the main power line within the fault range;

[0006] According to the voltage wave and the current wave, a high-precision fault transient feature of the traveling wave is extracted through a preset transient feature analysis model; the transient feature analysis model is trained through the voltage wave and the current wave of the power main line before the fault, and the voltage wave and the current wave of the power main line after the fault;

[0007] Determining the traveling wave head according to the high-precision fault transient characteristics;

[0008] The location of the fault point is determined according to the time when the traveling wave head arrives at each detection point.

[0009] Optionally, determining the location of the fault point according to the time when the traveling wave head reaches each detection point includes:

[0010] According to the time when the traveling wave head arrives at each detection point on the main power line, the calculated distance between any two detection points on the main power line is calculated by the following formula;

[0011]

[0012] Where A and B represent any two detection points on the main power line, t BIt is the time when the traveling wave head reaches point B, t A represents the time when the traveling wave head reaches point A, and v represents the speed of the traveling wave head;

[0013] The location of the fault point is determined according to the calculated distance.

[0014] Optionally, determining the location of the fault point according to the calculated distance includes:

[0015] In response to the calculated distances from any detection point on the main power line to other detection points being not completely equal, constructing an analysis matrix according to the calculated distances between any two detection points on the main power line;

[0016] Determine two target detection points corresponding to the elements at angular symmetric positions in the analysis matrix;

[0017] The position of the fault point is located between the two target detection points.

[0018] Optionally, determining the location of the fault point according to the calculated distance includes:

[0019] In response to the calculated distances from any detection point on the main power line to other detection points being equal, it is determined that the fault point is located on the branch line where the detection point is located.

[0020] Optionally, collecting the voltage wave and current wavefront of the main power line within the fault range also includes:

[0021] Collecting the voltage, current, zero-sequence voltage and zero-sequence current of each detection point in the distribution network;

[0022] extracting transient characteristics of the voltage, the current, the zero-sequence voltage, and the zero-sequence current;

[0023] The fault range is determined according to the transient characteristics.

[0024] Based on the same inventive concept, one or more embodiments of the present application further provide a distribution network cable fault point distance measuring device, comprising:

[0025] A data acquisition module is configured to collect voltage waves and current waves of the main power line within the fault range;

[0026] A first calculation module is configured to extract high-precision fault transient characteristics of traveling waves according to the voltage wave and the current wave through a preset transient characteristic analysis model; the transient characteristic analysis model is trained through the voltage wave and the current wave of the power main line before the fault, and the voltage wave and the current wave of the power main line after the fault;

[0027] A second calculation module is configured to determine a traveling wave head according to the high-precision fault transient characteristics;

[0028] The third calculation module is configured to determine the location of the fault point according to the time when the traveling wave head arrives at each detection point.

[0029] Optionally, it also includes:

[0030] The timing module is configured to calibrate the time when the traveling wave head arrives at each detection point.

[0031] Optionally, it also includes:

[0032] The database module is configured to store the voltage wave and the current wave of the power main line before the fault and the voltage wave and the current wave of the power main line after the fault.

[0033] Based on the same inventive concept, one or more embodiments of the present application also provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, a distribution network cable fault point distance measurement method as described in any one of the above items is implemented.

[0034] Based on the same inventive concept, one or more embodiments of the present application also provide a non-transitory computer-readable storage medium, which stores computer instructions, and the computer instructions are used to enable the computer to execute any of the above-mentioned distribution network cable fault point distance measurement methods.

[0035] From the above, it can be seen that the distribution network cable fault point distance measurement method provided by one or more embodiments of the present application collects the voltage wave and current wave of the main power line within the fault range; based on the voltage wave and the current wave, extracts the high-precision fault transient characteristics of the traveling wave through a preset transient characteristic analysis model; based on the high-precision fault transient characteristics, determines the traveling wave head; and determines the location of the fault point based on the time when the traveling wave head arrives at each detection point.

[0036] The method provided by one or more embodiments of the present application can improve the accuracy of the transient feature analysis model by training the current wave and voltage wave of the power main line before and after the fault, and obtain high-precision fault transient features. According to the high-precision fault transient features, the wave head of the traveling wave can be determined more accurately, and the location of the fault point can be further determined. Through this application, the accuracy of locating the cable fault point in the distribution network can be improved.

[0037] The distribution network cable fault point distance measuring device, electronic device and computer-readable storage medium provided in the present application can all implement the steps of the above-mentioned distribution network cable fault point distance measuring method, and therefore also have the beneficial effects of the above-mentioned distribution network cable fault point distance measuring method. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate one or more embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only one or more embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0039] Figure 1 A schematic diagram of a flow chart of a method for measuring a fault point in a distribution network cable according to one or more embodiments of the present application;

[0040] Figure 2 This is a schematic diagram of the structure of a device for measuring distance between cable fault points in a power distribution network according to one or more embodiments of the present application;

[0041] Figure 3 A schematic diagram of the location of a cable fault point in a distribution network according to one or more embodiments of the present application;

[0042] Figure 4 A schematic diagram of a traveling wave transmission path in a distribution network in one or more embodiments of the present application;

[0043] Figure 5 A schematic diagram of a traveling wave transmission path in a distribution network in one or more embodiments of the present application;

[0044] Figure 6 A schematic diagram of the location of a cable fault point in a distribution network according to one or more embodiments of the present application;

[0045] Figure 7 A schematic diagram of the hardware structure of an electronic device according to one or more embodiments of the present application. DETAILED DESCRIPTION

[0046] In order to make the objectives, technical solutions and advantages of the present disclosure more clearly understood, the present disclosure is further described in detail below in combination with specific embodiments and with reference to the accompanying drawings.

[0047] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in one or more embodiments of the present application should be understood by people with ordinary skills in the field to which the present disclosure belongs. The "first", "second" and similar words used in one or more embodiments of the present application do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word cover the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0048] As described in the background technology section, how to accurately locate the fault point is an important demand that needs to be urgently addressed in the field of power system technology.

[0049] In related technologies, the traveling wave ranging method is mainly used to determine the fault location by analyzing the current and voltage traveling wave signals generated when a fault occurs on the transmission line. Its basic principle is to use the propagation characteristics of the current or voltage traveling wave generated at the fault point on the transmission line, combined with the propagation speed and fault waveform, to calculate the fault distance. The main advantages of traveling wave ranging include: high accuracy, fast response, strong adaptability and no need for additional equipment.

[0050] The above-mentioned traveling wave ranging method is further divided into a single-ended traveling wave ranging method and a double-ended traveling wave ranging method. The single-ended traveling wave ranging method utilizes the time required for the transient traveling wave generated by the fault point to return once between the opposite bus and the fault point, combined with the traveling wave transmission speed to obtain the location of the fault point. The double-ended traveling wave ranging method specifically obtains the time difference of the traveling wave reaching the detection equipment at both ends (after the power line fails, the fault transient traveling wave propagates to the detection equipment at both ends of the line), and obtains the fault distance through the wave speed and the time difference of the traveling wave reaching the equipment at both ends. However, the traveling wave is difficult to detect after continuous reflection and refraction, and the fault characteristics are not obvious. Therefore, the existing technology has the problem of difficulty in accurately locating the fault point.

[0051] Therefore, this application proposes a method for measuring the distance of cable fault points in a distribution network. By training a transient feature analysis model with the current wave and voltage wave of the power main line before and after the fault, the accuracy of the transient feature analysis model can be improved to obtain high-precision fault transient features. According to the high-precision fault transient features, the wave head of the traveling wave can be determined more accurately, and the location of the fault point can be further determined. This application can improve the accuracy of locating cable fault points in distribution networks.

[0052] refer to Figure 1 The method for measuring the distance between the cable fault point in the distribution network of one or more embodiments of the present application comprises the following steps:

[0053] Step S101: collecting voltage waves and current waves of the main power line within the fault range.

[0054] The above-mentioned voltage wave and current wave may include the voltage wave and current wave before the fault occurs and the voltage wave and current wave after the fault occurs.

[0055] In some embodiments, in order to realize the acquisition of high-precision voltage and high-precision current and the subsequent calculation of high-precision fault transient characteristics, high-precision voltage transformers and current transformers with good transient characteristics can be used to collect the above voltage waves and current waves. In some embodiments, high-performance operational amplifiers can also be used as the front end of analog signal acquisition to achieve high-precision analog-to-digital conversion.

[0056] In some embodiments, the above-mentioned fault range can be determined based on the voltage, current, zero-sequence voltage and zero-sequence current data at each collection point in the above-mentioned distribution network. Specifically, it may include: collecting voltage, current, zero-sequence voltage and zero-sequence current data through the collection device at each collection point in the distribution network; extracting fault transient characteristics based on the above-mentioned data; determining the traveling wave head and determining the fault range based on the above-mentioned fault transient characteristics. It should be noted that the fault transient characteristics extracted at this time are not the high-precision fault transient characteristics mentioned below. Here, only the above-mentioned fault transient characteristics are needed to determine the fault range where the fault point is located, and the precise location is not required.

[0057] Step S102: extracting high-precision fault transient characteristics of traveling waves through a preset fault transient characteristic analysis model based on the voltage wave and the current wave; the fault transient characteristic analysis model is trained through the voltage wave and current wave of the power main line before the fault, and the voltage wave and current wave of the power main line after the fault.

[0058] When the power system is operating normally, the voltage wave appears as a stable periodic waveform (such as a sine wave) with a good structure and fixed amplitude and frequency. This waveform reflects the voltage characteristics of the system under stable working conditions. When a fault occurs in the power system (such as a short circuit, ground fault, etc.), the voltage wave in the system will still exist, but the voltage waveform may be distorted or changed due to the fault, and a transient voltage traveling wave will be generated. The traveling wave is a voltage mutation caused by the fault, which propagates around the fault point.

[0059] By analyzing the voltage wave before and after the fault, we can understand and extract the characteristics of the voltage wave. The same is true for the current wave and the voltage wave.

[0060] Therefore, the technical solution of the present application uses the voltage waves and current waves collected before and after the fault to train the fault transient feature analysis model, which can refine the transient features of the fault signal in the time domain and frequency domain, and effectively extract complete high-precision fault transient features.

[0061] It can be understood that training the fault transient feature analysis model based on data before and after the fault occurs can improve the accuracy of the fault transient feature analysis model.

[0062] In some embodiments, when a fault occurs, an interrupt mechanism can be triggered according to preset trigger conditions to perform fault recording. Each fault waveform is guaranteed to have no less than 4 data before the fault, no less than 8 data after the fault, and all stored waveforms are guaranteed to be no less than 64 groups, so as to provide effective data support for fault analysis.

[0063] Step S103: Determine the traveling wave head according to the above high-precision fault transient characteristics.

[0064] Assume that the fault occurs in Figure 3 In the distribution line with the topological structure shown in the figure, when the fault point is located in the main line at the position shown in f1, the fault traveling wave transmission path is as follows: Figure 4 As shown; when the fault point is located at the branch line at the position shown by f2, the fault traveling wave transmission path is as follows Figure 5 shown.

[0065] It can be understood that because the line impedance is discontinuous, the fault traveling wave is constantly reflected and refracted in the line, and the energy of the traveling wave is constantly reduced during the transmission process. Therefore, the initial traveling wave head is easier and more accurately captured than the reflected and refracted traveling wave head.

[0066] According to the high-precision fault transient characteristics extracted in step S102, the traveling wave head can be captured quickly and accurately, providing a data basis for accurately calculating the distance.

[0067] Here, the method for determining the traveling wave head according to the high-precision fault transient characteristics can be selected from the method for determining the traveling wave head according to the fault transient characteristics in the prior art. This application does not limit the method for determining the traveling wave head.

[0068] Step S104: Determine the position of the fault point according to the time when the traveling wave head arrives at each detection point.

[0069] In the technical solution of the present application, the precise location of the fault point is determined based on the speed and time of the traveling wave head reaching each detection point on the main power line within the fault range. The present application can not only determine the fault point on the main power line, but also determine the fault point on the branch line.

[0070] Specifically, firstly, the calculated distance between any two points is determined according to the speed and time of the traveling wave head reaching each detection point on the main power line within the fault range. The calculation formula for the calculated distance can be as follows:

[0071]

[0072] Where A and B represent any two detection points on the main power line, t B It is the time when the traveling wave head reaches point B, t A represents the time when the traveling wave head reaches point A, and v represents the speed of the traveling wave head.

[0073] It can be understood that when the fault point is not between detection point A and detection point B, the calculated distance S of the above two detection points is AB The actual distance L AB That is, at this time

[0074] When the fault point is between detection point A and detection point B, the calculated distance S between the two detection points is AB The actual distance L AB Not equal, at this time f1 is the fault point between detection point A and detection point B.

[0075] In order to quickly determine the detection point range where the fault point is located, an analysis matrix can be constructed based on all the above calculated distances, and the corner-to-corner position in the analysis matrix is ​​the fault occurrence position.

[0076] by Figure 6 Take the distribution network shown in the figure as an example. When the fault point range is determined to be on line MN, first determine the time and speed of the traveling wave head detected by detection points A, B, C, D, E and N on line MN, and obtain the calculated distance S between each detection point respectively. AB , S AC , S AD , S AE , S AN , S BC , S BD , S BE , S BN , S CD , S CE , S CN , S DE , S DN and S EN .

[0077] When the fault point occurs on the line MN, the above calculated distance may not be equal to the actual distance, and only some elements in the analysis matrix are angularly symmetric.

[0078] by Figure 6 For example, when the fault point is located at f1 between detection point C and detection point D, S AD , S AE , S AN , S BD , S BE , S BN , S CD , S CE , S CN The calculated distance changes.

[0079] Taking the calculated distance from detection point A to detection points D, E, and N as an example, the calculated distance changes as follows:

[0080]

[0081] Similarly, we can also calculate:

[0082] S BD =S BE =S BN =L f1B ;

[0083] S CD =S CE =S CN =L f1C ;

[0084] S DA =S DB =S DC =L Df1 ;

[0085] S EA =S EB =S EC =L Ef1 ;

[0086] S NA =S NB =S NC =L Nf1 .

[0087] At this point, the analysis matrix is ​​as follows:

[0088]

[0089] The elements with a value of 0 in the above matrix indicate that the calculated distance is 0 or a negative number. It can be seen that the 0 element is angularly symmetrical, and based on the angularly symmetrical position, it can be determined that the fault is between point C and point D.

[0090] In the above situation, the calculated distances from any detection point to other detection points are not completely equal.

[0091] In another case, the calculated distances from a certain detection point to other detection points are completely equal. In this case, it can be determined that the fault point is located on the branch line of the detection point.

[0092] Still Figure 6 For example, assuming that the fault point f2 is located on the branch line of the detection point B, the calculated distances from the detection point B to other detection points can be determined as follows:

[0093]

[0094]

[0095] That is, S AB =S BC =S BD =S BE =S BN .

[0096] Similarly, when the fault point f2 is located on the branch line of the detection point D2, S D2f3 =L Df3 =L D2D .

[0097] In summary, in the technical solution of the present application, the calculated distance between every two detection points is firstly obtained according to the speed and time from the traveling wave head to each detection point.

[0098] When the calculated distances from any detection point to other detection points are not completely equal, the fault point is on the main power line. At this time, an analysis matrix can be constructed based on the calculated distances to determine the fault location.

[0099] When there is a detection point with the calculated distances to other detection points being completely equal, the fault point is on the branch line corresponding to the detection point.

[0100] The position of the fault point on the branch line can still be determined according to the above judgment method.

[0101] This application can improve the accuracy of locating cable fault points in the distribution network and improve the efficiency of the distribution network.

[0102] It can be understood that the method can be executed by any device, equipment, platform, or device cluster having computing and processing capabilities.

[0103] It should be noted that the method of one or more embodiments of the present application can be performed by a single device, such as a computer or server. The method of this embodiment can also be applied to a distributed scenario and completed by multiple devices cooperating with each other. In the case of such a distributed scenario, one of the multiple devices can only perform one or more steps in the method of one or more embodiments of the present application, and the multiple devices will interact with each other to complete the described method.

[0104] It should be noted that the above describes specific embodiments of the present application. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0105] Based on the same inventive concept, corresponding to any of the above-mentioned embodiment methods, the present application also provides a distribution network cable fault point distance measuring device.

[0106] like Figure 2 As shown, the distribution network cable fault point distance measuring device includes:

[0107] The data acquisition module 11 is configured to collect voltage waves and current waves of the main power line within the fault range;

[0108] The first calculation module 12 is configured to extract high-precision fault transient characteristics of the traveling wave according to the voltage wave and the current wave through a preset transient characteristic analysis model; the transient characteristic analysis model is trained by the voltage wave and the current wave of the power main line before the fault, and the voltage wave and the current wave of the power main line after the fault;

[0109] The second calculation module 13 is configured to determine the traveling wave head according to the above high-precision fault transient characteristics;

[0110] The third calculation module 14 is configured to determine the position of the fault point according to the time when the traveling wave head arrives at each detection point.

[0111] Optionally, it also includes:

[0112] The timing module 15 is configured to calibrate the time when the above-mentioned traveling wave head arrives at each detection point according to the satellite timing. In some embodiments, the timing module 15 can use the Beidou timing function, the second pulse function and the high-precision clock source to calibrate the clock, and use the temperature compensation function to compensate the clock to ensure that the absolute time error does not exceed 0.5μs and the relative error does not exceed 1μs.

[0113] Optionally, it also includes:

[0114] The database module 16 is configured to store the voltage wave and the current wave of the power main line before the fault, and the voltage wave and the current wave of the power main line after the fault.

[0115] In some embodiments, the first computing module 12, the second computing module 13 and the third computing module 14 constitute a core control module. The core control module is composed of a high-speed CPU, external high-speed storage and a high-precision ADC converter to realize all computing functions of the above device, such as traveling wave computing.

[0116] The above device can communicate with the power distribution terminal and the power distribution network master station. In some embodiments, each module in the above power distribution network cable fault point distance measurement device realizes communication via Ethernet using RS-232 communication protocol.

[0117] For the convenience of description, the above devices are described in terms of functions divided into various modules. Of course, when implementing one or more embodiments of the present application, the functions of each module can be implemented in the same or multiple software and / or hardware.

[0118] The apparatus of the above-mentioned embodiment is used to implement the corresponding method in the above-mentioned embodiment, and has the beneficial effects of the corresponding method embodiment, which will not be described in detail here.

[0119] Figure 7 A more specific schematic diagram of the hardware structure of an electronic device provided in this embodiment is shown, and the device may include: a processor 1010, a memory 1020, an input / output interface 1030, a communication interface 1040, and a bus 1050. The processor 1010, the memory 1020, the input / output interface 1030, and the communication interface 1040 are connected to each other through the bus 1050 in the device.

[0120] The processor 1010 can be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present application.

[0121] The memory 1020 may be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory), static storage device, dynamic storage device, etc. The memory 1020 may store an operating system and other application programs. When the technical solution provided in the embodiment of the present application is implemented by software or firmware, the relevant program code is stored in the memory 1020 and is called and executed by the processor 1010.

[0122] The input / output interface 1030 is used to connect the input / output module to realize information input and output. The input / output module can be configured in the device as a component (not shown in the figure), or it can be externally connected to the device to provide corresponding functions. The input device may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output device may include a display, a speaker, a vibrator, an indicator light, etc.

[0123] The communication interface 1040 is used to connect a communication module (not shown) to realize communication interaction between the device and other devices. The communication module can realize communication through a wired mode (such as USB, network cable, etc.) or a wireless mode (such as mobile network, WIFI, Bluetooth, etc.).

[0124] The bus 1050 includes a path that transmits information between the various components of the device (eg, the processor 1010, the memory 1020, the input / output interface 1030, and the communication interface 1040).

[0125] It should be noted that, although the above device only shows the processor 1010, the memory 1020, the input / output interface 1030, the communication interface 1040 and the bus 1050, in the specific implementation process, the device may also include other components necessary for normal operation. In addition, it can be understood by those skilled in the art that the above device may also only include the components necessary for implementing the embodiment of the present application, and does not necessarily include all the components shown in the figure.

[0126] The electronic device of the above embodiment is used to implement the corresponding method in the above embodiment, and has the beneficial effects of the corresponding method embodiment, which will not be described in detail here.

[0127] The computer-readable medium of this embodiment includes permanent and non-permanent, removable and non-removable media, and information storage can be implemented by any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, read-only compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device.

[0128] Those skilled in the art should understand that the discussion of any of the above embodiments is merely illustrative and is not intended to imply that the scope of the present disclosure (including the claims) is limited to these examples. Based on the concept of the present disclosure, the technical features in the above embodiments or different embodiments may be combined, the steps may be implemented in any order, and there are many other variations of different aspects of one or more embodiments of the present application as described above, which are not provided in detail for the sake of simplicity.

[0129] In addition, to simplify the description and discussion, and in order not to make one or more embodiments of the present application difficult to understand, the known power / ground connections to the integrated circuit (IC) chip and other components may or may not be shown in the provided drawings. In addition, the device can be shown in the form of a block diagram to avoid making one or more embodiments of the present application difficult to understand, and this also takes into account the fact that the details of the implementation of these block diagram devices are highly dependent on the platform on which one or more embodiments of the present application will be implemented (that is, these details should be fully within the scope of understanding of those skilled in the art). In the case of elaborating specific details (e.g., circuits) to describe exemplary embodiments of the present disclosure, it is obvious to those skilled in the art that one or more embodiments of the present application can be implemented without these specific details or when these specific details are changed. Therefore, these descriptions should be considered illustrative rather than restrictive.

[0130] Although the present disclosure has been described in conjunction with specific embodiments of the present disclosure, many replacements, modifications and variations of these embodiments will be apparent to those skilled in the art from the foregoing description. For example, other memory architectures (e.g., dynamic RAM (DRAM)) may use the embodiments discussed.

[0131] One or more embodiments of the present application are intended to cover all such substitutions, modifications and variations that fall within the broad scope of the appended claims. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of one or more embodiments of the present application should be included in the scope of protection of this disclosure.

Claims

1. A method for measuring the distance between cable fault points in a distribution network, characterized in that: include: Collect voltage and current waves of the main power line within the fault range; According to the voltage wave and the current wave, a high-precision fault transient feature of the traveling wave is extracted through a preset transient feature analysis model; the transient feature analysis model is trained through the voltage wave and the current wave of the power main line before the fault, and the voltage wave and the current wave of the power main line after the fault; Determining the traveling wave head according to the high-precision fault transient characteristics; The location of the fault point is determined according to the time when the traveling wave head arrives at each detection point.

2. The method according to claim 1, characterized in that: The step of determining the location of the fault point according to the time when the traveling wave head arrives at each detection point comprises: According to the time when the traveling wave head arrives at each detection point on the main power line, the calculated distance between any two detection points on the main power line is calculated by the following formula; Where A and B represent any two detection points on the main power line, t B It is the time when the traveling wave head reaches point B, t A represents the time when the traveling wave head reaches point A, and v represents the speed of the traveling wave head; The location of the fault point is determined according to the calculated distance.

3. The method according to claim 2, characterized in that Determining the location of the fault point according to the calculated distance includes: In response to the calculated distances from any detection point on the main power line to other detection points being not completely equal, constructing an analysis matrix according to the calculated distances between any two detection points on the main power line; Determine two target detection points corresponding to the elements at angular symmetric positions in the analysis matrix; The position of the fault point is located between the two target detection points.

4. The method according to claim 2, characterized in that: Determining the location of the fault point according to the calculated distance includes: In response to the calculated distances from any detection point on the main power line to other detection points being equal, it is determined that the fault point is located on the branch line where the detection point is located.

5. The method according to claim 1, characterized in that Collect the voltage and current waves of the main power lines within the fault range, including: Collecting the voltage, current, zero-sequence voltage and zero-sequence current of each detection point in the distribution network; extracting transient characteristics of the voltage, the current, the zero-sequence voltage, and the zero-sequence current; The fault range is determined according to the transient characteristics.

6. A device for measuring the distance between cable fault points in a distribution network, characterized in that: include: A data acquisition module is configured to collect voltage waves and current waves of the main power line within the fault range; A first calculation module is configured to extract high-precision fault transient characteristics of traveling waves according to the voltage wave and the current wave through a preset transient characteristic analysis model; the transient characteristic analysis model is trained through the voltage wave and the current wave of the power main line before the fault, and the voltage wave and the current wave of the power main line after the fault; A second calculation module is configured to determine a traveling wave head according to the high-precision fault transient characteristics; The third calculation module is configured to determine the location of the fault point according to the time when the traveling wave head arrives at each detection point.

7. The device according to claim 6, characterized in that Also includes: The timing module is configured to calibrate the time when the traveling wave head arrives at each detection point according to the satellite timing.

8. The device according to claim 6, characterized in that Also includes: The database module is configured to store the voltage wave and the current wave of the power main line before the fault and the voltage wave and the current wave of the power main line after the fault.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the method according to any one of claims 1 to 5 is implemented.

10. A non-transitory computer-readable storage medium, characterized in that: The non-transitory computer-readable storage medium stores computer instructions, and the computer instructions are used to cause the computer to execute any one of claims 1 to 5.

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