Power distribution network line fault positioning method and device based on traveling wave distance measurement, and medium

Abstract

The invention discloses a power distribution network line fault positioning method and device based on traveling wave distance measurement, and a medium, and the method comprises the steps: judging whether a line breaks down or not through a traveling wave current signal on a high-speed sampling power distribution network line, judging the fault time, and carrying out the verification with the fault time calculated through a power frequency algorithm; whether the fault traveling wave data is stored or not is judged, the power distribution network line fault is reported, two ends of the power distribution network line are subjected to double-end distance measurement according to the stored fault traveling wave data, and the position of the fault on the power distribution network line is positioned. According to the method, the fault on the power distribution network line is positioned based on the traveling wave fault location technology, the traveling wave fault location technology can measure the fault distance by using the propagation time difference of the traveling wave between the fault point and the measurement point, and the method is not influenced by factors such as the transition resistance of the fault point, the line structure and the like, so that the fault location precision is relatively high.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution network, and in particular to a method, device and storage medium for locating a distribution network line fault based on travelling wave ranging. Background Art

[0002] With the acceleration of urbanization and the continuous growth of electricity demand, the complexity and importance of the distribution network as the last link of power transmission and distribution are becoming increasingly prominent. However, short circuits, grounding and other faults that frequently occur in the distribution network not only affect the normal power consumption of users, but may also cause damage to power grid equipment and even cause more widespread power outages. Traditional distribution network fault location methods, such as manual inspections and positioning based on fault indicators, have problems such as long positioning time, low accuracy, and high labor costs, which are difficult to meet the requirements of modern distribution networks for rapid response and precise positioning. Therefore, it is particularly important to develop efficient and high-precision distribution network fault location technology.

[0003] Traveling wave ranging technology, as a fault location method based on the propagation characteristics of transient traveling waves, provides a new way to solve the problem of fault location in distribution networks. In distribution networks, transient traveling waves generated by faults will propagate rapidly along the lines and will be reflected and transmitted when encountering impedance discontinuities (such as fault points, branch points, etc.). By accurately measuring the propagation time of the traveling wave between the fault point and the measurement point, combined with the propagation speed of the traveling wave in the conductor, the fault point can be accurately located.

[0004] At present, the methods for fault location positioning by traveling wave ranging for distribution network include fault information devices based on FPGA and ARM. This method takes time to transmit fault information between devices on different platforms, and its real-time performance is poor. There is a method based on AD sampling current signal to judge the start of traveling wave, but it does not take into account the high noise on the distribution network line, which is easy to start by mistake and has weak anti-interference ability. In addition, most of the current traveling wave ranging methods do not consider the processing method when instantaneous continuous faults occur, and their universality is poor. Therefore, a high-precision fault location method with good real-time performance, strong anti-interference ability and universality is urgently needed for distribution network lines. Summary of the invention

[0005] The present invention proposes a method, device and storage medium for locating a distribution network line fault based on traveling wave ranging, which can solve at least one of the technical problems in the background technology.

[0006] To achieve the above object, the present invention adopts the following technical solutions: A method for locating a distribution network line fault based on traveling wave ranging comprises the following steps: Step 1: High-speed sampling of the traveling wave current signal on the distribution network line determines whether the line has a fault and determines the fault time, and verifies it with the fault time calculated by the power frequency algorithm to determine whether to save the traveling wave waveform data of the fault and report the distribution network line fault; Step 2: Two ends of the distribution network line perform double-end distance measurement based on the stored fault traveling wave data to locate the position of the fault on the distribution network line.

[0007] Furthermore, step 1 specifically includes the following steps: Step 1.1, use a current transformer to convert the current of M amperes on the distribution network line into a voltage of N volts, and continuously sample the converted voltage value at a frequency of O Hz. Sample each cycle to obtain a digital quantity array P, P=( , ,..., ,..., ), using the Beidou satellite navigation system and a high-precision crystal oscillator with voltage-controlled regulation function for time synchronization and time keeping, accurately obtain the time array T corresponding to each digital value in the digital array P, T=( , ,..., ,..., ), where u is the number of the digital value in the digital array, u= , ,...,μ,p u Represents the digital value of sequence number u, each digital value p u The corresponding time is t u ; Step 1.2: Replace the digital value p in the digital array P u Compare with the threshold Q. When the consecutive R digital values ​​are greater than the threshold, that is, , ,..., When the values ​​of are greater than Q, the digital array P of this cycle meets the traveling wave start condition, and the corresponding time array T is recorded, and according to t u The millisecond time and the number of vibrations of the crystal oscillator before m milliseconds are used to calibrate the time array T, and the calibrated time array I is obtained, I= ( , ,..., ,..., ),i u =t u +θ,p u The corresponding calibration time i u That is the judged failure time, and the judged failure time is recorded as τ; Step 1.3, put the digital array P that meets the traveling wave start condition in step 1.2 into the traveling wave data cache queue S, S={ , ,..., ,..., }, The digital value representing the fault time is τ and the serial number is u. The data waiting time W in the traveling wave data cache queue S is confirmed with the time estimated by the power frequency algorithm. If the power frequency algorithm does not give the estimated fault time within the W time, the traveling wave start is a false start caused by noise, and the data with the fault time τ in the traveling wave data cache queue S is discarded. If the power frequency algorithm gives the estimated fault time ε within the W time, the difference α between the fault time judged by the traveling wave and the fault time estimated by the power frequency algorithm is calculated. ,in, Represents the absolute value sign. If the α value is greater than the fault time difference threshold λ, the data set with the fault time τ in the traveling wave data cache queue S is discarded. If the α value is less than the fault time difference threshold λ, the data set with the fault time τ in the traveling wave data cache queue S is saved and the distribution network line fault is reported. Step 1.4, repeat steps 1.1 to 1.3 to monitor the traveling wave current signal on the distribution network line in real time. When an instantaneous continuity fault occurs, add the digital quantity array P that can meet the traveling wave current starting condition each time to the traveling wave data cache queue S. S={ , ,..., ,..., , , ,..., ,..., ,..., , ,..., ,..., },in, , , Indicates different fault times. The data in the traveling wave data cache queue S waits for W time to confirm with the fault time estimated by the power frequency algorithm to decide whether to save the traveling wave data of this fault time and report the distribution network line fault.

[0008] Furthermore, the voltage control adjustment method of the crystal oscillator in step 1.1 is as follows: Given the voltage A across the crystal oscillator chip and the number of vibrations per second B, use the Beidou satellite navigation system to provide timing. Calculate the number of crystal oscillator vibrations per second C and compare the difference γ between B and C. ,if ≤5, the value of voltage A remains unchanged. If it continues for z seconds, >5, if γ>0, then adjust the voltage across the crystal oscillator chip to A+2, if γ<0, then adjust the voltage across the crystal oscillator chip to A-2, where, Indicates the absolute value symbol; Calculate the average number of crystal vibrations D in the past 5 seconds, and compare the difference δ between B and D. , if it continues for z seconds, ≤4, adjust the voltage across the crystal oscillator chip to A+δ, if ≥10, directly adjust the voltage across the crystal oscillator chip to A+δ; in other cases, do not adjust the voltage across the crystal oscillator chip.

[0009] Furthermore, the calibration value θ described in step 1.2 is used to calibrate the time array T, and the calibration value θ is calculated as follows: Calculate t u The crystal oscillator counts in the millisecond time and the previous m milliseconds, and the crystal oscillator counts in the m+1 milliseconds are , ,..., ,..., ,in for The crystal count within the millisecond time, t u The crystal oscillator counts the mbth millisecond before the millisecond. , ,...,0; calculate arrive The sum of crystal oscillator counts, sum= + +…+ , compare the crystal count sum with the standard frequency H of the crystal oscillator, and calculate the crystal count difference , ; The value of b is calculated from the crystal oscillator count difference starting from m. ,when <5, then ,when ≥5, then set b=b-1 and recalculate the crystal oscillator count difference , until <5 o'clock, , when b=0, ,in, Represents the absolute value symbol.

[0010] Furthermore, the specific steps of step 2 are as follows: Step 2.1, when a fault occurs between the X end and the Y end of the distribution network line, both the X end and the Y end will save the fault traveling wave data. According to the fault traveling wave data saved at the X end and the Y end, the sampling wavelet transform method is used to find the wave head position of the traveling wave data at both ends and its corresponding fault time x, y; Step 2.2: Based on the fault time x obtained at the X end and the fault time y obtained at the Y end, calculate the distance L between the fault location and X. X , , the distance L from Y Y , , where c represents the transmission speed of the traveling wave in the distribution network line from end X to end Y, and L represents the length of the line between end X and end Y.

[0011] On the other hand, the present invention further discloses a computer-readable storage medium storing a computer program, wherein when the computer program is executed by a processor, the processor executes the steps of the above method.

[0012] On the other hand, the present invention further discloses a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the above method.

[0013] In summary, the present invention provides a method for locating a distribution network line fault based on traveling wave ranging, including determining whether a line fault occurs and determining the fault time by high-speed sampling of the traveling wave current signal on the distribution network line, and verifying the fault time calculated by the power frequency algorithm, determining whether to save the traveling wave data of the fault and report the distribution network line fault, performing double-end ranging at both ends of the distribution network line according to the saved fault traveling wave data, and locating the position of the fault on the distribution network line.

[0014] Compared with the prior art, the present invention has the following beneficial effects: The present invention locates faults on distribution network lines based on traveling wave ranging technology. The traveling wave ranging technology can use the time difference of traveling waves propagating between the fault point and the measurement point to measure the fault distance. This method is not affected by factors such as the transition resistance of the fault point and the line structure, so the ranging accuracy is relatively high. In contrast, traditional distribution network fault location methods, such as the fault location method based on fault indicators, may be affected by various interferences and errors, resulting in low accuracy of fault location. The location time is long and time-consuming and labor-intensive based on the method of manual inspection. The traveling wave ranging technology of the present invention uses the Beidou satellite navigation system and a high-precision crystal oscillator with a voltage-controlled regulation function for timekeeping and timekeeping, and calibrates the fault time according to the crystal oscillator count at the time of the fault, ensuring the synchronization and accuracy of the time of different ranging devices on the distribution network line, and providing a guarantee for using traveling wave ranging technology to accurately locate the fault position of the distribution network line. The present invention saves the traveling wave data of the fault line and reports the fault of the distribution network line. The method of using traveling wave sampling to judge the fault time and the method of checking the fault time calculated by the power frequency algorithm can eliminate the problem that the distribution network line has a lot of noise and is easy to cause the traveling wave to start incorrectly, and enhances the anti-interference ability of locating the fault position of the distribution line through the traveling wave ranging technology, and can better adapt to the complex and changeable distribution network lines. The present invention uses a queue method to quickly cache all fault data and judged fault time that can meet the conditions for traveling wave start-up, and then checks with the fault time calculated by the power frequency algorithm, and saves the fault traveling wave data that meets the verification. This method can process instantaneous continuous faults occurring on the distribution network line in real time, and when the fault and noise occur at the same time, the fault traveling wave data can also be saved in time, so that the traveling wave ranging method of the present invention has a certain universality. BRIEF DESCRIPTION OF THE DRAWINGS Figure 1 It is a flowchart of the present invention. DETAILED DESCRIPTION

[0015] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments.

[0016] A method for locating a distribution network line fault based on traveling wave ranging includes determining whether a line fault occurs and determining the fault time by high-speed sampling of traveling wave current signals on the distribution network line, and verifying the fault time calculated by the power frequency algorithm, determining whether to save the traveling wave data of the fault and report the distribution network line fault, performing double-end ranging at both ends of the distribution network line according to the saved fault traveling wave data, and locating the position of the fault on the distribution network line, specifically including the following steps: Step 1: High-speed sampling of the traveling wave current signal on the distribution network line determines whether the line has a fault and determines the fault time, and verifies it with the fault time calculated by the power frequency algorithm to determine whether to save the traveling wave waveform data of this fault and report the distribution network line fault. The steps are as follows: Step 1.1: Use a current transformer to convert the current of M amperes on the distribution network line into a voltage of N volts. Continuously sample the converted voltage value at a frequency of O Hz. Sample each cycle to obtain a digital quantity array P, P = ( , ,..., ,..., ), using the Beidou satellite navigation system and a high-precision crystal oscillator with voltage-controlled regulation function for time synchronization and time keeping, accurately obtain the time array T corresponding to each digital value in the digital array P, T=( , ,..., ,..., ), where u is the number of the digital value in the digital array, u= , ,...,μ,p u Represents the digital value of sequence number u, each digital value p u The corresponding time is t u ; Step 1.2: Replace the digital value p in the digital array P u Compare with the threshold Q. When the consecutive R digital values ​​are greater than the threshold, that is, , ,..., When the values ​​of are greater than Q, the digital array P of this cycle meets the traveling wave start condition, and the corresponding time array T is recorded, and according to t u The millisecond time and the number of vibrations of the crystal oscillator before m milliseconds are used to calibrate the time array T, and the calibrated time array I is obtained, I= ( , ,..., ,..., ),i u =t u +θ,p u The corresponding calibration time i u That is the judged failure time, and the judged failure time is recorded as τ; Step 1.3, put the digital array P that meets the traveling wave start condition in step 1.2 into the traveling wave data cache queue S, S={ , ,..., ,..., }, The digital value representing the fault time is τ and the serial number is u. The data waiting time W in the traveling wave data cache queue S is confirmed with the time estimated by the power frequency algorithm. If the power frequency algorithm does not give the estimated fault time within the W time, the traveling wave start is a false start caused by noise, and the data with the fault time τ in the traveling wave data cache queue S is discarded. If the power frequency algorithm gives the estimated fault time ε within the W time, the difference α between the fault time judged by the traveling wave and the fault time estimated by the power frequency algorithm is calculated. ,in, Represents the absolute value sign. If the α value is greater than the fault time difference threshold λ, the data set with the fault time τ in the traveling wave data cache queue S is discarded. If the α value is less than the fault time difference threshold λ, the data set with the fault time τ in the traveling wave data cache queue S is saved and the distribution network line fault is reported. Step 1.4, repeat steps 1.1 to 1.3 to monitor the traveling wave current signal on the distribution network line in real time. When an instantaneous continuity fault occurs, add the digital quantity array P that can meet the traveling wave current starting condition each time to the traveling wave data cache queue S. S={ , ,..., ,..., , , ,..., ,..., ,..., , ,..., ,..., },in, , , Indicates different fault times. The data in the traveling wave data cache queue S waits for W time and confirms the fault time calculated by the power frequency algorithm to decide whether to save the traveling wave data of this fault time and report the distribution network line fault; The voltage control adjustment method of the crystal oscillator described in step 1.1 is as follows: Given the voltage A across the crystal oscillator chip and the number of vibrations per second B, use the Beidou satellite navigation system to provide timing. Calculate the number of crystal oscillator vibrations per second C and compare the difference γ between B and C. ,if ≤5, the value of voltage A remains unchanged. If it continues for z seconds, >5, if γ>0, then adjust the voltage across the crystal oscillator chip to A+2, if γ<0, then adjust the voltage across the crystal oscillator chip to A-2, where, Indicates the absolute value symbol; Calculate the average number of crystal vibrations D in the past 5 seconds, and compare the difference δ between B and D. , if it continues for z seconds, ≤4, adjust the voltage across the crystal oscillator chip to A+δ, if ≥10, directly adjust the voltage across the crystal oscillator chip to A+δ; in other cases, do not adjust the voltage across the crystal oscillator chip.

[0017] In step 1.2, the calibration value θ is used to calibrate the time array T. The calibration value θ is calculated as follows: Calculate t u The crystal oscillator counts in the millisecond time and the previous m milliseconds, and the crystal oscillator counts in the m+1 milliseconds are , ,..., ,..., ,in for The crystal count within the millisecond time, t u The crystal oscillator counts the mbth millisecond before the millisecond. , ,...,0; calculate arrive The sum of crystal oscillator counts, sum= + +…+ , compare the crystal count sum with the standard frequency H of the crystal oscillator, and calculate the crystal count difference , ; The value of b is calculated from the crystal oscillator count difference starting from m. ,when <5, then ,when ≥5, then set b=b-1 and recalculate the crystal oscillator count difference , until <5 o'clock, , when b=0, ,in, Represents the absolute value symbol.

[0018] Step 2: Both ends of the distribution network line perform double-end distance measurement based on the stored fault traveling wave data to locate the position of the fault on the distribution network line. The steps are as follows: Step 2.1, when a fault occurs between the X end and the Y end of the distribution network line, both the X end and the Y end will save the fault traveling wave data. According to the fault traveling wave data saved at the X end and the Y end, the sampling wavelet transform method is used to find the wave head position of the traveling wave data at both ends and its corresponding fault time x, y; Step 2.2: Based on the fault time x obtained at the X end and the fault time y obtained at the Y end, calculate the distance L between the fault location and X. X , , the distance L from Y Y , , where c represents the transmission speed of the traveling wave in the distribution network line from end X to end Y, and L represents the length of the line between end X and end Y.

[0019] For example, in a real test field of a distribution network with a line length of 4 km, the fault point is set at 75% of the distribution network line, that is, 3 km from the X end and 1 km from the Y end. For different grounding types and different sizes of grounding resistance, the above-mentioned inventive method is used to locate the position of the fault on the distribution line. The ranging results are shown in Table 1-1. The ranging error of the method of the present invention for different fault types is controlled within 100m, thereby achieving accurate fault location.

[0020] Table 1-1

[0021] On the other hand, the present invention further discloses a computer-readable storage medium storing a computer program, wherein when the computer program is executed by a processor, the processor executes the steps of the above method.

[0022] On the other hand, the present invention further discloses a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the above method.

[0023] In another embodiment provided in the present application, a computer program product including instructions is also provided. When the computer program product is executed on a computer, the computer executes any of the methods for locating distribution network line faults based on traveling wave ranging in the above embodiments.

[0024] It is understandable that the system, device and storage medium provided in the embodiments of the present invention correspond to the method provided in the embodiments of the present invention, and the explanation, examples and beneficial effects of the relevant contents can refer to the corresponding parts in the above methods.

[0025] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from a website site, a computer, a server or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium may be any available medium that a computer can access or a data storage device such as a server or a data center that includes one or more available media integrated. The available medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state drive Solid State Disk (SSD)), etc.

[0026] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0027] Each embodiment in this specification is described in a related manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0028] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for locating a distribution network line fault based on traveling wave ranging, characterized in that: The following steps are included: Step 1: High-speed sampling of the traveling wave current signal on the distribution network line determines whether the line has a fault and determines the fault time, and verifies it with the fault time calculated by the power frequency algorithm to determine whether to save the traveling wave waveform data of the fault and report the distribution network line fault; Step 2: Two ends of the distribution network line perform double-end distance measurement based on the stored fault traveling wave data to locate the position of the fault on the distribution network line.

2. The method for locating a distribution network line fault based on traveling wave ranging according to claim 1, characterized in that: Step 1 specifically includes the following steps: Step 1.1, use a current transformer to convert the current of M amperes on the distribution network line into a voltage of N volts, and continuously sample the converted voltage value at a frequency of O Hz. Sample each cycle to obtain a digital quantity array P, P=( , ,..., ,..., ), using the Beidou satellite navigation system and a high-precision crystal oscillator with voltage-controlled regulation function for time synchronization and time keeping, accurately obtain the time array T corresponding to each digital value in the digital array P, T=( , ,..., ,..., ), where u is the number of the digital value in the digital array, u= , ,...,μ,p u Represents the digital value of sequence number u, each digital value p u The corresponding time is t u ; Step 1.2: Replace the digital value p in the digital array P u Compare with the threshold Q. When the consecutive R digital values ​​are greater than the threshold, that is, , ,..., When the values ​​of are greater than Q, the digital array P of this cycle meets the traveling wave start condition, and the corresponding time array T is recorded, and according to t u The millisecond time and the number of vibrations of the crystal oscillator before m milliseconds are used to calibrate the time array T, and the calibrated time array I is obtained, I= ( , ,..., ,..., ),i u =t u +θ,p u The corresponding calibration time i u That is the judged failure time, and the judged failure time is recorded as τ; Step 1.3, put the digital array P that meets the traveling wave start condition in step 1.2 into the traveling wave data cache queue S, S={ , ,..., ,..., }, The digital value representing the fault time is τ and the serial number is u. The data waiting time W in the traveling wave data cache queue S is confirmed with the time estimated by the power frequency algorithm. If the power frequency algorithm does not give the estimated fault time within the W time, the traveling wave start is a false start caused by noise, and the data with the fault time τ in the traveling wave data cache queue S is discarded. If the power frequency algorithm gives the estimated fault time ε within the W time, the difference α between the fault time judged by the traveling wave and the fault time estimated by the power frequency algorithm is calculated. ,in, Represents the absolute value sign. If the α value is greater than the fault time difference threshold λ, the data set with the fault time τ in the traveling wave data cache queue S is discarded. If the α value is less than the fault time difference threshold λ, the data set with the fault time τ in the traveling wave data cache queue S is saved and the distribution network line fault is reported. Step 1.4, repeat steps 1.1 to 1.3 to monitor the traveling wave current signal on the distribution network line in real time. When an instantaneous continuity fault occurs, add the digital quantity array P that can meet the traveling wave current starting condition each time to the traveling wave data cache queue S. S={ , ,..., ,..., , , ,..., ,..., ,..., , ,..., ,..., },in, , , Indicates different fault times. The data in the traveling wave data cache queue S waits for W time to confirm with the fault time estimated by the power frequency algorithm to decide whether to save the traveling wave data of this fault time and report the distribution network line fault.

3. The method for locating a distribution network line fault based on traveling wave ranging according to claim 2 is characterized in that: The voltage control adjustment method of the crystal oscillator described in step 1.1 is as follows: Given the voltage A across the crystal oscillator chip and the number of vibrations per second B, use the Beidou satellite navigation system to provide timing. Calculate the number of crystal oscillator vibrations per second C and compare the difference γ between B and C. ,if ≤5, the value of voltage A remains unchanged. If it continues for z seconds, >5, if γ>0, then adjust the voltage across the crystal oscillator chip to A+2, if γ<0, then adjust the voltage across the crystal oscillator chip to A-2, where, Indicates the absolute value symbol; Calculate the average number of crystal vibrations D in the past 5 seconds, and compare the difference δ between B and D. , if it continues for z seconds, ≤4, adjust the voltage across the crystal oscillator chip to A+δ, if ≥10, directly adjust the voltage across the crystal oscillator chip to A+δ; in other cases, do not adjust the voltage across the crystal oscillator chip.

4. The method for locating a distribution network line fault based on traveling wave ranging according to claim 2, characterized in that: In step 1.2, the calibration value θ is used to calibrate the time array T. The calibration value θ is calculated as follows: Calculate t u The crystal oscillator counts in the millisecond time and the previous m milliseconds, and the crystal oscillator counts in the m+1 milliseconds are , ,..., ,..., ,in for The crystal count in milliseconds. t u The crystal oscillator counts the mbth millisecond before the millisecond. , ,...,0; calculate arrive The sum of crystal oscillator counts, sum= + +…+ , compare the crystal count sum with the standard frequency H of the crystal oscillator, and calculate the crystal count difference , ; The value of b is calculated from the crystal oscillator count difference starting from m. ,when <5, then ,when ≥5, then set b=b-1 and recalculate the crystal oscillator count difference , until <5 o'clock, , when b=0, ,in, Represents the absolute value symbol.

5. The method for locating a distribution network line fault based on traveling wave ranging according to claim 1, characterized in that: Step 2 The specific steps are as follows: Step 2.1, when a fault occurs between the X end and the Y end of the distribution network line, both the X end and the Y end will save the fault traveling wave data. According to the fault traveling wave data saved at the X end and the Y end, the sampling wavelet transform method is used to find the wave head position of the traveling wave data at both ends and its corresponding fault time x, y; Step 2.2: Based on the fault time x obtained at the X end and the fault time y obtained at the Y end, calculate the distance L between the fault location and X. X , , the distance L from Y Y , , where c represents the transmission speed of the traveling wave in the distribution network line from end X to end Y, and L represents the length of the line between end X and end Y.

6. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the processor is caused to perform the steps of the method according to any one of claims 1 to 5.

7. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the computer program is executed by the processor, the processor is caused to perform the steps of the method according to any one of claims 1 to 5.

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