A power line traveling wave fault location method, system and device based on multi-channel clock synchronization and a storage medium

Abstract

The present application relates to the technical field of traveling wave signal sampling, and particularly relates to a power line traveling wave fault positioning method, system and device based on multi-channel clock synchronization and a storage medium. A high-precision synchronous clock model is established based on satellite clock and crystal oscillator clock correction technology. Signals of the single high-precision synchronous clock model are accurately distributed to multiple ADC devices, so that strict synchronization of the multi-channel sampling clock can be ensured, to avoid the situation that the time data of the initial traveling wave reaching the measurement end is erroneous due to low synchronization of the built-in clock of different ADC devices. Then, by combining the running state data and signal transmission state data of each ADC device in the running process, the data is further corrected, so that the reliability and accuracy of the data are further improved, so that errors in the calculation of the distance between the fault point and the measurement point are avoided, and the accuracy of fault positioning is improved.

Description

Technical Field

[0001] This invention relates to the field of traveling wave signal sampling technology, and in particular to a method, system, device and storage medium for locating traveling wave faults in power lines based on multi-channel clock synchronization. Background Technology

[0002] In power distribution network construction, the traveling wave signal high-speed parallel sampling and clock synchronization system effectively solves the problems of traditional fault location relying on equipment density and low line inspection efficiency by accurately capturing fault characteristics and realizing multi-terminal synchronous measurement, thus significantly improving power supply reliability and operation and maintenance efficiency.

[0003] In existing technologies, traditional high-speed parallel sampling and clock synchronization systems for traveling wave signals are generally equipped with multiple analog-to-digital converters that can acquire high-frequency traveling wave current signals. When a fault occurs in a transmission line, voltage and current traveling waves that propagate at near the speed of light will be generated at the fault point. During their propagation, these traveling waves will be reflected and refracted when they encounter the line endpoints. Therefore, by combining multiple analog-to-digital converters to measure the time and velocity of the initial traveling wave to reach the measurement end, the distance between the fault point and the measurement point can be calculated, thereby achieving rapid fault location.

[0004] In existing technologies, traditional high-speed parallel sampling and clock synchronization systems for traveling wave signals require monitoring the arrival time of the initial traveling wave at the measurement end. This is typically done by directly reading the arrival time of the initial traveling wave at the measurement end through a built-in clock module. However, this data is affected by the status of the analog-to-digital converter and the environment during measurement, leading to errors in the reading. Furthermore, if there are significant errors in the reading, it will cause errors in the subsequent calculation of the distance between the fault point and the measurement point, affecting the accuracy of fault location. Summary of the Invention

[0005] In view of the problems existing in the prior art, the present invention is proposed.

[0006] Therefore, the problem to be solved by this invention is how to improve the accuracy of fault location.

[0007] To solve the above-mentioned technical problems, the present invention provides the following technical solution: In a first aspect, embodiments of the present invention provide a method for locating traveling wave faults in power lines based on multi-channel clock synchronization, which includes establishing a high-precision synchronous clock model based on satellite clock and crystal oscillator clock correction technology; By using clock distribution chip technology, the signal of a single high-precision synchronous clock model is accurately distributed to multiple ADC devices, and multiple independent clocks corresponding to the ADC devices are output. Collect operational status data and signal transmission status data of each ADC device during operation; The time difference between the initial traveling wave and the reflected wave is obtained by simultaneously acquiring the current traveling wave signal using multiple ADC devices. By combining the real-time data collected by the data acquisition module, the arrival time data of the initial traveling wave at the measurement end obtained by each ADC device is corrected; By combining the corrected initial traveling wave arrival time data obtained from each ADC device, the location of the line fault point is determined.

[0008] As a preferred embodiment of the power line traveling wave fault location method based on multi-channel clock synchronization described in this invention, the process of establishing the high-precision synchronization clock model includes: S1: Receives electromagnetic wave signals transmitted by satellites, decodes and processes them, outputs standard second pulse signals, and filters the second pulse signals to eliminate noise. S2: Using a crystal oscillator clock as the local clock source, the original frequency signal is generated, and the crystal oscillator clock tracks the phase fluctuation of the satellite clock second pulse through a phase-locked loop control mechanism. S3: The time interval difference between the rising edge of the second pulse signal output by the satellite receiver and the rising edge of the 1Hz signal generated by frequency division of the disciplined second-level frequency standard; S4: Process the time interval difference, filter out the random error of the satellite clock, extract the frequency error of the crystal clock, and calculate the feedback control quantity based on the frequency error; S5: Convert the calculated feedback control quantity into an analog signal, and fine-tune the oscillation frequency of the crystal clock through a conditioning circuit.

[0009] As a preferred embodiment of the power line traveling wave fault location method based on multi-channel clock synchronization described in this invention, the acquisition of operating status data and signal transmission status data of each ADC device during operation includes, The operating status data and signal transmission status data of each ADC device during operation, wherein the operating status data of each ADC device during operation includes the input impedance of the ADC device and the signal jitter value of the corresponding independent clock; The signal transmission status data includes transmission delay.

[0010] As a preferred embodiment of the power line traveling wave fault location method based on multi-channel clock synchronization described in this invention, the step of correcting the initial traveling wave arrival time data obtained by each ADC device includes, through the formula: Calculate the time data influence coefficient of the i-th ADC device during a fault detection process. ; Where i represents any parallel sampling ADC device. Let be the input impedance of the i-th ADC device during a fault detection process. The preset input impedance, Let be the signal jitter value of the i-th ADC device for an independent clock during a fault detection process. The preset signal jitter value, Let be the transmission delay of the i-th ADC device during a fault detection process. The preset transmission delay, for The standard value, To define a function, if Then let Otherwise, let ; By using the time data influence coefficient of the i-th ADC device in a fault detection process Impact coefficient threshold of preset time data Perform a comparison; like The error in the time data of the i-th ADC device during a fault detection process is large and needs to be corrected. like The error in the time data of the i-th ADC device during a fault detection process is small, so no correction is needed.

[0011] As a preferred embodiment of the power line traveling wave fault location method based on multi-channel clock synchronization described in this invention, the step of correcting the initial traveling wave arrival time data obtained by each ADC device further includes... When the error in the time data of the i-th ADC device during a fault detection process is large: Through formula Calculate the initial traveling wave arrival time at the measurement terminal of the i-th ADC device after correction in a fault detection. ; in, For the i-th ADC device, the signal acquisition module obtains the initial travel wave and the reflected wave during a fault detection. To adjust the coefficient lookup table function, based on empirical data... The extent to which the range of numerical values ​​affects the arrival time of the initial traveling wave at the measurement end is obtained based on testing.

[0012] As a preferred embodiment of the power line traveling wave fault location method based on multi-channel clock synchronization described in this invention, the location of the line fault point is determined by the following formula: Calculate the distance between the fault point and the measuring end of the i-th ADC device in a single fault detection. ; v is the wave speed; the positioning process also includes, using the formula: Calculate the coefficient of variation t of the distance between the fault point and the measuring end measured by all ADC devices in a single fault detection. Where n is the total number of ADC devices set in a single fault detection. For all The average value, For all The maximum value in.

[0013] As a preferred embodiment of the power line traveling wave fault location method based on multi-channel clock synchronization described in this invention, the location of the line fault point is determined by the following formula: Calculate the distance d between the fault point and the measuring end in a single fault detection. in, The coefficient of variation is a preset distance between the fault point and the measuring end obtained by all ADC devices in a single fault detection. For the bounding function, if Then let Otherwise, let ; After calculating the distance d between the fault point and the measuring end in a fault detection, the fault point is located and an early warning is issued.

[0014] Secondly, embodiments of the present invention provide a power line traveling wave fault location system based on multi-channel clock synchronization, which includes a clock model establishment module for establishing a high-precision synchronous clock model based on satellite clock and crystal oscillator clock correction technology. The clock synchronization module uses clock distribution chip technology to accurately distribute the signal of a single high-precision synchronous clock model to multiple ADC devices and output multiple independent clocks corresponding to the ADC devices. The data acquisition module is used to collect the operating status data and signal transmission status data of each ADC device during operation; The signal acquisition module is used to simultaneously acquire current traveling wave signals through multiple ADC devices to obtain the time difference between the initial traveling wave and the reflected wave. The data correction module is used to correct the arrival time data of the initial traveling wave at the measurement end obtained by each ADC device by combining the real-time data collected by the data acquisition module. The fault location module is used to locate the line fault point by combining the corrected initial traveling wave arrival time data obtained from each ADC device.

[0015] Thirdly, embodiments of the present invention provide a computer device, including a memory and a processor, wherein the memory stores a computer program, wherein: when the computer program instructions are executed by the processor, the steps of the power line traveling wave fault location method based on multi-channel clock synchronization as described in the first aspect of the present invention are implemented.

[0016] Fourthly, embodiments of the present invention provide a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program instructions are executed by a processor, they implement the steps of the power line traveling wave fault location method based on multi-channel clock synchronization as described in the first aspect of the present invention.

[0017] The beneficial effects of this invention are as follows: By accurately distributing the signal of a single high-precision synchronous clock model to multiple ADC devices, this invention can ensure strict synchronization of the multi-channel sampling clocks. This avoids errors in the timing data of the initial traveling wave arriving at the measurement end due to low synchronization of the built-in clocks of different ADC devices. Furthermore, by combining the operating status data and signal transmission status data of each ADC device during operation, the data can be further corrected, thereby improving the reliability and accuracy of the data. This avoids errors in the subsequent calculation of the distance between the fault point and the measurement point, thus improving the accuracy of fault location.

[0018] This invention compares the time data influence coefficient pi of the i-th ADC device during a fault detection process with a preset time data influence coefficient threshold p01. This allows for an accurate judgment of the error magnitude of the time data of the i-th ADC device during a fault detection process. Furthermore, since this data is obtained based on diversified data calculations, its accuracy can be improved, thereby providing reliable data support for subsequent judgments on whether corrections are needed, and ensuring the reliability of the correction results.

[0019] This invention uses the relationship between the coefficient of variation t of the distance between the fault point and the measuring end obtained by all ADC devices in a single fault detection and a preset coefficient of variation of the distance between the fault point and the measuring end obtained by all ADC devices in a single fault detection to externally confirm the distance d between the fault point and the measuring end in a single fault detection. This technique can reduce the error caused by single-channel sampling, thereby ensuring the reliability of the fault location result. Attached Figure Description

[0020] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 The flowchart shows a method for locating traveling wave faults in power lines based on multi-channel clock synchronization. Figure 2 A diagram of a computer device for a power line traveling wave fault location method based on multi-channel clock synchronization; Figure 3 This is a schematic diagram illustrating the time difference between the traveling wave sampling time and the standard time, and the correction method, in a power line traveling wave fault location method based on multi-channel clock synchronization. Figure 4 This is a schematic diagram of the local high-precision clock and multiple ADC clock processing synchronization process for the power line traveling wave fault location method based on multi-channel clock synchronization. Figure 5 This is a flowchart illustrating the establishment of the clock model for a power line traveling wave fault location method based on multi-channel clock synchronization. Detailed Implementation

[0022] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0023] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0024] Secondly, the term "an embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places throughout this specification does not necessarily refer to the same embodiment, nor is it a single embodiment or an embodiment selectively excluded from other embodiments.

[0025] Example 1 Reference Figure 1 - Figure 5 This is the first embodiment of the present invention, which provides a method for locating traveling wave faults in power lines based on multi-channel clock synchronization, including: A high-precision synchronous clock model was established based on satellite clock and crystal oscillator clock correction technology; By using clock distribution chip technology, the signal of a single high-precision synchronous clock model is accurately distributed to multiple ADC devices, and multiple independent clocks corresponding to the ADC devices are output. Collect operational status data and signal transmission status data of each ADC device during operation; The time difference between the initial traveling wave and the reflected wave is obtained by simultaneously acquiring the current traveling wave signal using multiple ADC devices. By combining the real-time data collected by the data acquisition module, the arrival time data of the initial traveling wave at the measurement end obtained by each ADC device is corrected; By combining the corrected initial traveling wave arrival time data obtained from each ADC device, the location of the line fault point is determined.

[0026] Specifically, such as Figure 3 As shown, a high-precision synchronous clock model is established based on satellite clock and crystal oscillator clock correction technology. When locating the fault point on the line, the clock synchronization module first uses clock distribution chip technology to accurately distribute the signal of a single high-precision synchronous clock model to multiple ADC devices, outputting multiple independent clocks corresponding to the ADC devices. The data acquisition module collects the operating status data and signal transmission status data of each ADC device during operation. Then, the signal acquisition module simultaneously acquires the current traveling wave signal through multiple ADC devices to obtain the time difference between the initial traveling wave and the reflected wave. The data correction module combines the real-time data acquired by the data acquisition module to correct the time data of the initial traveling wave arriving at the measurement end obtained by each ADC device. Finally, the fault location module combines the corrected time data of the initial traveling wave arriving at the measurement end obtained by each ADC device to locate the fault point on the line. By precisely distributing the signal of a single high-precision synchronous clock model to multiple ADC devices, strict synchronization of the multi-channel sampling clocks can be ensured. This avoids errors in the timing of the initial traveling wave arriving at the measurement end due to low synchronization of the built-in clocks of different ADC devices. Furthermore, by combining the operating status data and signal transmission status data of each ADC device during operation, the data can be further corrected, thereby improving the reliability and accuracy of the data. This avoids errors in the subsequent calculation of the distance between the fault point and the measurement point, thus improving the accuracy of fault location. It should be noted that ADC devices are analog-to-digital converters, whose core function is to convert traveling wave signals in the physical world into digital data that can be processed by computers. As this is existing technology, we will not go into too much detail here.

[0027] The data collected includes the operational status data and signal transmission status data of each ADC device during operation. The operating status data and signal transmission status data of each ADC device during operation, including the input impedance of the ADC device and the signal jitter value of the corresponding independent clock. Signal transmission status data includes transmission delay.

[0028] Specifically, such as Figure 4 As shown, this example provides the operating status data and signal transmission status data of each ADC device during operation. The operating status data of each ADC device includes the input impedance of the ADC device and the signal jitter value of the corresponding independent clock. The signal transmission status data includes the transmission delay. By combining this data, the influence of the analog-to-digital converter status and environmental parameters can be eliminated, and the time data of the initial traveling wave arriving at the measurement end can be cleaned and corrected to ensure the accuracy of the data, thereby avoiding errors when calculating the distance between the fault point and the measurement point.

[0029] Correcting the arrival time data of the initial traveling wave at the measurement end obtained by each ADC device includes, using the formula: Calculate the time data influence coefficient of the i-th ADC device during a fault detection process. ; Where i represents any parallel sampling ADC device. Let be the input impedance of the i-th ADC device during a fault detection process. The preset input impedance, Let be the signal jitter value of the i-th ADC device for an independent clock during a fault detection process. The preset signal jitter value, Let be the transmission delay of the i-th ADC device during a fault detection process. The preset transmission delay, for The standard value, To define a function, if Then let Otherwise, let .

[0030] Specifically, the higher the input impedance and corresponding independent clock signal jitter value of the i-th ADC device in a fault detection process, and the higher the transmission delay of the i-th ADC device in a fault detection process, the larger the time data influence coefficient pi of the i-th ADC device in a fault detection process, indicating that there is an error in the initial traveling wave arrival time data read by the i-th ADC device in a fault detection process, which needs to be corrected. Specifically, the higher the input impedance of the i-th ADC device during a fault detection process, the more likely the clock signal will be reflected or attenuated due to load mismatch during distribution, resulting in errors in the initial traveling wave arrival time data at the measurement end. Furthermore, the higher the jitter value of the independent clock signal corresponding to the i-th ADC device during a fault detection process, the more the jitter will directly translate into sampling time error, especially at high frequencies where the error increases significantly. Finally, if the transmission delay of the i-th ADC device during a fault detection process exceeds the preset transmission delay, it indicates differences in the physical path length or medium characteristics of different channels, leading to different signal transmission times and introducing phase errors. Therefore, this calculation method can not only determine whether there are errors in the initial traveling wave arrival time data read by the i-th ADC device during a fault detection process, but also provide reliable data support for subsequent data correction, ensuring the reliability of the correction results.

[0031] By using the time data influence coefficient of the i-th ADC device in a fault detection process Impact coefficient threshold of preset time data Perform a comparison; like The error in the time data of the i-th ADC device during a fault detection process is large and needs to be corrected. like The error in the time data of the i-th ADC device during a fault detection process is small, so no correction is needed.

[0032] Specifically, the influence coefficient of time data of the i-th ADC device during a fault detection process is... Impact coefficient threshold of preset time data By comparing the data, an accurate judgment can be made on the error magnitude of the time data of the i-th ADC device during a fault detection process. Furthermore, since this data is obtained based on diversified data calculations, its accuracy can be improved, thereby providing reliable data support for subsequent judgments on whether corrections are needed, and ensuring the reliability of the correction results.

[0033] Correcting the arrival time data of the initial traveling wave at the measurement end obtained by each ADC device also includes, When the error in the time data of the i-th ADC device during a fault detection process is large: Through formula Calculate the initial traveling wave arrival time at the measurement terminal of the i-th ADC device after correction in a fault detection. ; in, For the i-th ADC device, the signal acquisition module obtains the initial travel wave and the reflected wave during a fault detection. To adjust the coefficient lookup table function, based on empirical data... The extent to which the range of numerical values ​​affects the arrival time of the initial traveling wave at the measurement end is obtained based on testing.

[0034] Specifically, this calculation method can eliminate the influence of the analog-to-digital converter status and environmental parameters, and clean and correct the time data of the initial traveling wave arriving at the measurement end to ensure the accuracy of the data, thereby avoiding errors in the subsequent calculation of the distance between the fault point and the measurement point.

[0035] The location of the line fault is determined by the following process: using the formula: Calculate the distance between the fault point and the measuring end of the i-th ADC device in a single fault detection. ; v is the wave velocity; this data can be used to calculate the distance between the fault point and the measurement point, thereby locating the fault point. This calculation method is existing technology and will not be elaborated on here. Furthermore, since the initial traveling wave arrival time ri of the i-th ADC device in a fault detection is obtained based on the calculation and correction of diversified data, the reliability of the calculation results can be improved.

[0036] The positioning process also includes, through the formula: Calculate the coefficient of variation t of the distance between the fault point and the measuring end measured by all ADC devices in a single fault detection. Where n is the total number of ADC devices set in a single fault detection. For all The average value, For all The maximum value in.

[0037] Specifically, this calculation method reflects the dispersion of the distance data between the fault point and the measuring end measured by different ADC devices during a fault detection. A larger value indicates a greater difference in the distance data between the fault point and the measuring end measured by different ADC devices, suggesting that some ADC devices are still subject to external interference during acquisition, leading to reading errors. Conversely, a smaller value indicates a smaller difference in the distance data between the fault point and the measuring end measured by different ADC devices, suggesting that all ADC devices have smaller reading errors during acquisition. Therefore, this calculation method can reduce errors caused by single-channel sampling based on the dispersion coefficient t of the distance between the fault point and the measuring end measured by all ADC devices during a fault detection, thereby ensuring the reliability of the fault location results.

[0038] The location of the line fault is determined by the following process: using the formula: Calculate the distance d between the fault point and the measuring end in a single fault detection. in, The coefficient of variation is a preset distance between the fault point and the measuring end obtained by all ADC devices in a single fault detection. For the bounding function, if Then let Otherwise, let ; After calculating the distance 'd' between the fault point and the measuring end in a single fault detection, the fault point is located and an early warning is issued. This setup ensures high accuracy because the distance 'd' is calculated by fusing diverse data after cleaning and correction, thus guaranteeing the reliability of the fault point location results.

[0039] Specifically, this calculation method can combine the discrete coefficient t of the distance between the fault point and the measuring end obtained by all ADC devices in a fault detection with the preset discrete coefficient of the distance between the fault point and the measuring end obtained by all ADC devices in a fault detection, and further confirm the distance d between the fault point and the measuring end in a fault detection, thereby improving the accuracy of the fault location results.

[0040] The process of establishing a high-precision synchronous clock model includes, S1: Receives electromagnetic wave signals transmitted by satellites, decodes and processes them, outputs standard second pulse signals, and filters the second pulse signals to eliminate noise. S2: Using a crystal oscillator clock as the local clock source, the original frequency signal is generated, and the crystal oscillator clock tracks the phase fluctuation of the satellite clock second pulse through a phase-locked loop control mechanism. S3: The time interval difference between the rising edge of the second pulse signal output by the satellite receiver and the rising edge of the 1Hz signal generated by frequency division of the disciplined second-level frequency standard; S4: Process the time interval difference, filter out the random error of the satellite clock, extract the frequency error of the crystal clock, and calculate the feedback control quantity based on the frequency error; S5: Convert the calculated feedback control quantity into an analog signal, and fine-tune the oscillation frequency of the crystal clock through a conditioning circuit.

[0041] By setting it up in this way, the wide-area high-precision time synchronization capability of satellite clocks and the short-term stability of crystal oscillator clocks can be achieved through error complementarity, phase-locked loop control, modular design and other technical means, thus achieving high-precision and high-reliability time synchronization.

[0042] Example 2 The above is a schematic scheme for a power line traveling wave fault location method based on multi-channel clock synchronization. It should be noted that the technical solution of this power line traveling wave fault location system based on multi-channel clock synchronization belongs to the same concept as the technical solution of the power line traveling wave fault location method based on multi-channel clock synchronization described above. Details not described in detail in the technical solution of the power line traveling wave fault location system based on multi-channel clock synchronization in this embodiment can be found in the description of the technical solution of the power line traveling wave fault location method based on multi-channel clock synchronization described above.

[0043] This embodiment also provides a power line traveling wave fault location system based on multi-channel clock synchronization, including: The clock model building module is used to build a high-precision synchronous clock model based on satellite clock and crystal oscillator clock correction technology. The clock synchronization module uses clock distribution chip technology to accurately distribute the signal of a single high-precision synchronous clock model to multiple ADC devices and output multiple independent clocks corresponding to the ADC devices. The data acquisition module is used to collect the operating status data and signal transmission status data of each ADC device during operation; The signal acquisition module is used to simultaneously acquire current traveling wave signals through multiple ADC devices to obtain the time difference between the initial traveling wave and the reflected wave. The data correction module is used to correct the arrival time data of the initial traveling wave at the measurement end obtained by each ADC device by combining the real-time data collected by the data acquisition module. The fault location module is used to locate the line fault point by combining the corrected initial traveling wave arrival time data obtained from each ADC device.

[0044] This embodiment also provides an electronic device applicable to power line traveling wave fault location based on multi-channel clock synchronization, comprising: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement the power line traveling wave fault location method based on multi-channel clock synchronization as proposed in the above embodiment.

[0045] This embodiment also provides a storage medium storing a computer program that, when executed by a processor, implements the power line traveling wave fault location method based on multi-channel clock synchronization as proposed in the above embodiments.

[0046] The storage medium proposed in this embodiment belongs to the same inventive concept as the method for locating traveling wave faults in power lines based on multi-channel clock synchronization proposed in the above embodiments. Technical details not described in detail in this embodiment can be found in the above embodiments, and this embodiment has the same beneficial effects as the above embodiments.

[0047] Based on the above description of the implementation methods, those skilled in the art can clearly understand that the present invention can be implemented using software and necessary general-purpose hardware, and of course, it can also be implemented using hardware. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk, or optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of the various embodiments of the present invention.

[0048] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for locating traveling wave faults in power lines based on multi-channel clock synchronization, characterized in that: This includes establishing a high-precision synchronous clock model based on satellite clock and crystal oscillator clock correction technology; By using clock distribution chip technology, the signal of a single high-precision synchronous clock model is accurately distributed to multiple ADC devices, and multiple independent clocks corresponding to the ADC devices are output. Collect operational status data and signal transmission status data of each ADC device during operation; The time difference between the initial traveling wave and the reflected wave is obtained by simultaneously acquiring the current traveling wave signal using multiple ADC devices. By combining the real-time data collected by the data acquisition module, the arrival time data of the initial traveling wave at the measurement end obtained by each ADC device is corrected; By combining the corrected initial traveling wave arrival time data obtained from each ADC device, the location of the line fault point is determined.

2. The method for locating traveling wave faults in power lines based on multi-channel clock synchronization as described in claim 1, characterized in that: The process of establishing the high-precision synchronous clock model includes, S1: Receives electromagnetic wave signals transmitted by satellites, decodes and processes them, outputs standard second pulse signals, and filters the second pulse signals to eliminate noise. S2: Using a crystal oscillator clock as the local clock source, the original frequency signal is generated, and the crystal oscillator clock tracks the phase fluctuation of the satellite clock second pulse through a phase-locked loop control mechanism. S3: The time interval difference between the rising edge of the second pulse signal output by the satellite receiver and the rising edge of the 1Hz signal generated by frequency division of the disciplined second-level frequency standard; S4: Process the time interval difference, filter out the random error of the satellite clock, extract the frequency error of the crystal clock, and calculate the feedback control quantity based on the frequency error; S5: Convert the calculated feedback control quantity into an analog signal, and fine-tune the oscillation frequency of the crystal clock through a conditioning circuit.

3. The method for locating traveling wave faults in power lines based on multi-channel clock synchronization as described in claim 2, characterized in that: The acquisition of operational status data and signal transmission status data for each ADC device during operation includes, The operating status data and signal transmission status data of each ADC device during operation, wherein the operating status data of each ADC device during operation includes the input impedance of the ADC device and the signal jitter value of the corresponding independent clock; The signal transmission status data includes transmission delay.

4. The method for locating traveling wave faults in power lines based on multi-channel clock synchronization as described in claim 3, characterized in that: The correction of the initial traveling wave arrival time data obtained by each ADC device at the measurement end includes, using the formula: Calculate the time data influence coefficient of the i-th ADC device during a fault detection process. ; Where i represents any parallel sampling ADC device. Let be the input impedance of the i-th ADC device during a fault detection process. The preset input impedance, Let be the signal jitter value of the i-th ADC device for an independent clock during a fault detection process. The preset signal jitter value, Let be the transmission delay of the i-th ADC device during a fault detection process. The preset transmission delay, for The standard value, To define a function, if Then let Otherwise, let ; By using the time data influence coefficient of the i-th ADC device during a fault detection process Impact coefficient threshold of preset time data Perform a comparison; like The error in the time data of the i-th ADC device during a fault detection process is large and needs to be corrected. like It is determined that the time data error of the i-th ADC device during a fault detection process is small and does not require correction.

5. The method for locating traveling wave faults in power lines based on multi-channel clock synchronization as described in claim 4, characterized in that: The correction of the initial traveling wave arrival time data obtained by each ADC device also includes... When the error in the time data of the i-th ADC device during a fault detection process is large: Through formula Calculate the initial traveling wave arrival time at the measurement terminal of the i-th ADC device after correction in a fault detection. ; in, For the i-th ADC device, the signal acquisition module obtains the initial time difference between the traveling wave and the reflected wave during a fault detection. To adjust the coefficient lookup table function, based on empirical data... The extent to which the range of numerical values ​​affects the arrival time of the initial traveling wave at the measurement end is obtained based on testing.

6. The method for locating traveling wave faults in power lines based on multi-channel clock synchronization as described in claim 5, characterized in that: The location of the line fault point is determined by the following process: using the formula: Calculate the distance between the fault point and the measuring end of the i-th ADC device in a single fault detection. ; v is the wave speed; the positioning process also includes, using the formula: Calculate the coefficient of variation t of the distance between the fault point and the measuring end measured by all ADC devices in a single fault detection. Where n is the total number of ADC devices set in a single fault detection. For all The average value, For all The maximum value in.

7. The method for locating traveling wave faults in power lines based on multi-channel clock synchronization as described in claim 6, characterized in that: The location of the line fault point is determined by the following process: using the formula: Calculate the distance d between the fault point and the measuring end in a single fault detection. in, The coefficient of variation is a preset distance between the fault point and the measuring end obtained by all ADC devices in a single fault detection. For the bounding function, if Then let Otherwise, let ; After calculating the distance d between the fault point and the measuring end in a fault detection, the fault point is located and an early warning is issued.

8. A power line traveling wave fault location system based on multi-channel clock synchronization, based on the power line traveling wave fault location method based on multi-channel clock synchronization as described in any one of claims 1 to 7, characterized in that: It also includes a clock model building module, which is used to build a high-precision synchronous clock model based on satellite clock and crystal oscillator clock correction technology; The clock synchronization module uses clock distribution chip technology to accurately distribute the signal of a single high-precision synchronous clock model to multiple ADC devices and output multiple independent clocks corresponding to the ADC devices. The data acquisition module is used to collect the operating status data and signal transmission status data of each ADC device during operation; The signal acquisition module is used to simultaneously acquire current traveling wave signals through multiple ADC devices to obtain the time difference between the initial traveling wave and the reflected wave. The data correction module is used to correct the arrival time data of the initial traveling wave at the measurement end obtained by each ADC device by combining the real-time data collected by the data acquisition module. The fault location module is used to locate the line fault point by combining the corrected initial traveling wave arrival time data obtained from each ADC device.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, it implements the steps of the power line traveling wave fault location method based on multi-channel clock synchronization as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, it implements the steps of the power line traveling wave fault location method based on multi-channel clock synchronization as described in any one of claims 1 to 7.

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