Power distribution network equipment fault regulation system based on traveling wave ranging
By using a collaborative signal monitoring and verification system, the amplitude point of the transient traveling wave signal is accurately calibrated, the frequency to be adjusted is locked, and the sampling frequency is adjusted in real time, which solves the signal distortion problem and improves the fault location accuracy and the operational reliability of the distribution network.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NANJING ZHENGTU INFORMATION TECH CO LTD
- Filing Date
- 2025-05-15
- Publication Date
- 2026-05-29
AI Technical Summary
Existing technology cannot adjust the sampling frequency in real time according to changes in signal frequency, resulting in distortion of transient traveling wave signals and affecting fault location accuracy.
Through the coordinated operation of the signal monitoring terminal, verification and analysis terminal, band feature verification terminal, amplitude verification center and fluctuation verification center, the highest and lowest amplitude points of the transient traveling wave signal are accurately calibrated, band characteristics are identified, the frequency to be adjusted is locked, and the sampling frequency is adjusted in real time through the control center.
It enables precise monitoring and in-depth analysis of transient traveling wave signals, improves fault location accuracy, reduces fault troubleshooting time, and enhances the operational reliability and stability of the distribution network.
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Figure CN120498119B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of power distribution network technology, specifically to a power distribution network equipment fault control system based on traveling wave ranging. Background Technology
[0002] When a fault occurs in the power distribution network, a transient traveling wave signal is generated at the fault point. This signal propagates to both ends of the line at a speed close to the speed of light. The system captures the traveling wave signal by sensors installed in the line. Based on the time difference of the traveling wave propagation between the fault point and the measurement point and the propagation speed of the traveling wave, the distance from the fault point to the measurement point is calculated, thereby realizing fault location.
[0003] Its key technologies include: high-precision clock synchronization technology: ensuring that the clock synchronization error between data acquisition terminals at different locations on the line is extremely small, so as to accurately measure the time difference of traveling wave propagation and improve the fault location accuracy. If the acquisition terminal can quickly identify and detect fault signals, the clock synchronization error between equipment at one installation location on the line and at different locations on the same line is no more than 1μs, which can ensure the fault ranging accuracy within 150 meters.
[0004] High-speed sampling technology: This technology uses high-speed sampling chips to sample traveling wave signals, accurately capturing the high-frequency signal details of the traveling wave. For example, some systems use 25MHz high-speed sampling to accurately acquire traveling wave signals.
[0005] Traveling wave front precision identification technology: By fusing multiple methods such as wavelet transform and adaptive denoising, the timing of the wave front is located, solving the problem of weak traveling wave signal during high-impedance grounding faults, and achieving reliable startup by integrating power frequency information.
[0006] In power distribution networks, the sampling frequency for transient traveling wave signals is generally fixed. When the frequency of the transient traveling wave signal is too high, the peak value of the corresponding signal will be distorted when it is sampled, resulting in a large error in the actual acquired signal waveform. This seriously affects subsequent fault diagnosis. Therefore, there is an urgent need for a method that can change the sampling frequency in real time according to the changes in the signal frequency to acquire such distorted signals and ensure the accuracy of the acquired transient traveling wave signals. Summary of the Invention
[0007] To address the shortcomings of existing technologies, this invention provides a fault control system for power distribution equipment based on traveling wave ranging, which solves the problem of not being able to collect such distorted signals by changing the sampling frequency in real time according to changes in signal frequency.
[0008] To achieve the above objectives, the present invention provides the following technical solution: a fault control system for distribution network equipment based on traveling wave ranging, comprising:
[0009] The verification and analysis unit confirms the amplitude of the monitored transient traveling wave signal and calibrates the highest and lowest amplitude points. The specific method is as follows:
[0010] Based on the monitored transient traveling wave signal, identify the associated waveform belonging to this transient traveling wave signal;
[0011] Identify and mark the wave inflection points within the associated waveforms, as the wave bands on either side of the inflection point exhibit opposite trends.
[0012] The amplitude of the points associated with the fluctuation inflection point is confirmed, and the maximum or minimum value is selected from several point amplitudes. The fluctuation inflection point associated with the maximum value is marked as the highest amplitude point, and the fluctuation inflection point associated with the minimum value is marked as the lowest amplitude point.
[0013] The wave characteristic verification end verifies the band characteristics of the highest and lowest amplitude points within the associated waveform of the transient traveling wave signal. Based on the verification results, it executes different subsequent execution centers. The specific method is as follows:
[0014] Identify the highest and lowest amplitude points marked within the associated waveform. Extract a portion of the waveform between the highest and lowest amplitude points. From this portion of the waveform, determine whether there are other fluctuation inflection points between the highest and lowest amplitude points.
[0015] If it exists, then execute the fluctuation verification center;
[0016] If it does not exist, then confirm whether the amplitude characteristics between the highest amplitude point and the lowest amplitude point are consistent: denote the amplitude associated with the highest amplitude point as F1, and the amplitude associated with the lowest amplitude point as F2, and identify whether F1 and F2 satisfy: |F1|=|F2|. If they satisfy, no processing is required; if they do not satisfy, then execute the amplitude verification center.
[0017] The amplitude verification center identifies the highest and lowest amplitude points within the associated waveform, determines the fluctuation trend within these bands, and adjusts the positional characteristics of the two sets of amplitude points based on this trend. The adjusted wavelength characteristics then determine the frequency to be tuned. The specific method is as follows:
[0018] Identify the two sets of zero points associated with the highest amplitude point from the associated waveform, and record the bands associated between the two sets of zero points as the high bands of the highest amplitude point. Then identify the two sets of zero points associated with the lowest amplitude point from the associated waveform, and record the bands associated between the two sets of zero points as the low bands of the lowest amplitude point.
[0019] The high-level bands are divided into front high-level bands and back high-level bands, with the band before the highest amplitude point being the front high-level band and the band after the highest amplitude point being the back high-level band. The band trend is confirmed from the two sets of high-level bands: the amplitude between adjacent points in the high-level bands is denoted as Z1 and Z2, and the characteristic trend is: characteristic trend = |Z1-Z2|. The maximum trend is selected from several characteristic trends, and the selected maximum trend is used as the band trend associated with the corresponding band. Starting from the zero point associated with the high-level bands, the confirmed band trend is used as the line segment trend to construct two sets of virtual lines, and the intersection of the two sets of virtual lines is determined. The determined intersection is used as the verification and adjustment point associated with the highest amplitude point.
[0020] The same method is used to process the low-level bands, which are divided into front low-level bands and back low-level bands. The band trend is confirmed from the two groups of low-level bands: the amplitude between adjacent points in the low-level bands is denoted as Z3 and Z4, and the characteristic trend is: characteristic trend = |Z3-Z4|. The maximum trend is selected from several characteristic trends and is used as the band trend associated with the corresponding band. Starting from the zero point associated with the high-level band, two sets of virtual lines are constructed with the confirmed band trend as the line segment trend, and the intersection of the two sets of virtual lines is determined. The determined intersection is used as the check and adjustment point associated with the lowest amplitude point.
[0021] Based on the verification and adjustment points determined by the highest and lowest amplitude points respectively, the wavelength distance L between the two sets of verification and adjustment points is confirmed, and the wave velocity V of the transient traveling wave signal is confirmed. The propagation frequency f of this transient traveling wave signal is confirmed by using (V÷2L)=f. Then, the frequency to be adjusted is locked by using: frequency to be adjusted = 2f, and transmitted to the control center.
[0022] The fluctuation verification center uses the same processing method as the amplitude verification center to verify and adjust the positional characteristics of the highest and lowest amplitude points. Based on the waveband where the verification and adjustment points are located, the characteristic frequencies are confirmed, and the frequency to be adjusted is locked. The specific method is as follows:
[0023] Based on the same processing method used by the amplitude verification center to verify and adjust the positional characteristics of the highest and lowest amplitude points, the verification and adjustment points associated with the highest and lowest amplitude points are confirmed.
[0024] Based on the confirmed verification and adjustment points, identify the previous set of fluctuation inflection points adjacent to the verification and adjustment points from the associated waveforms, and record the bands between the previous set of fluctuation inflection points and the verification and adjustment points as undetermined bands.
[0025] Next, confirm the wavelength distances J1 and J2 associated with the two sets of undetermined bands respectively. Based on the determined wave velocity V of the transient traveling wave signal, use (V÷2J1)=P1 and (V÷2J2)=P2 to confirm the two sets of frequency values P1 and P2. Select the maximum value Pmax from the two sets of frequency values, and use the frequency to be adjusted = 2Pmax to lock the frequency to be adjusted, and transmit it to the control center.
[0026] Preferred options also include:
[0027] The signal monitoring terminal is installed on the power distribution line to monitor the transient traveling wave signal generated at the fault point and transmit the monitored transient traveling wave signal to the verification and analysis terminal.
[0028] Preferably, the control center adjusts the original sampling frequency based on the confirmed frequency to be adjusted.
[0029] This invention provides a fault control system for distribution network equipment based on traveling wave ranging. Compared with existing technologies, it has the following advantages:
[0030] This invention achieves precise monitoring and in-depth analysis of transient traveling wave signals through the coordinated operation of multiple modules, including a signal monitoring terminal and a verification and analysis terminal. The verification and analysis terminal accurately calibrates the waveform amplitude points, providing a reliable foundation for subsequent feature verification. The band feature verification terminal can quickly determine the signal acquisition quality and accurately identify whether the sampling frequency meets the standard. The amplitude verification center and the fluctuation verification center analyze and process the highest amplitude point, lowest amplitude point, and related bands through unique algorithms for different signal anomalies, accurately locking the frequency to be adjusted and effectively solving problems such as waveform distortion and information loss caused by insufficient sampling frequency. The control center adjusts the sampling frequency in real time according to the frequency to be adjusted, ensuring that the characteristics of the transient traveling wave signal can be fully acquired, significantly improving the accuracy and completeness of signal acquisition, thereby improving fault location accuracy, reducing fault troubleshooting time, enhancing the reliability and stability of distribution network operation, and providing strong support for the safe and efficient operation of the power system. Attached Figure Description
[0031] Figure 1 This is a schematic diagram of the principle framework of the present invention. Detailed Implementation
[0032] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0033] First Embodiment
[0034] Please see Figure 1 This application provides a fault control system for distribution network equipment based on traveling wave ranging, including a signal monitoring terminal, a verification and analysis terminal, a band characteristic verification terminal, an amplitude verification center, a fluctuation verification center, and a control center. The signal monitoring terminal, the verification and analysis terminal, and the band characteristic verification terminal are electrically connected sequentially from the output node to the input node. The fluctuation characteristic verification terminal is electrically connected to the amplitude verification center and the input node of the fluctuation verification center, respectively. The amplitude verification center and the fluctuation verification center are both electrically connected to the input node of the control center.
[0035] When a fault occurs in the distribution network, a transient traveling wave signal is generated at the fault point. This signal propagates towards both ends of the line at near the speed of light. The system captures the traveling wave signal using sensors installed in the line. Based on the time difference of the traveling wave's propagation between the fault point and the measurement point, as well as the propagation speed of the traveling wave, the system calculates the distance from the fault point to the measurement point, thereby achieving fault location.
[0036] Among them, the signal monitoring end is installed on the power distribution line to monitor the transient traveling wave signal generated by the fault point and transmit the monitored transient traveling wave signal to the verification and analysis end. Specifically, the signal monitoring end is generally set at a designated measurement point, and its measurement point is interconnected with the surrounding lines. It can effectively and quickly locate the surrounding lines where there is a fault point, and simultaneously monitor and confirm the transient traveling wave signal associated with the surrounding area.
[0037] The verification and analysis unit confirms the amplitude of the monitored transient traveling wave signal. Based on the fluctuation characterization of the corresponding waveform within the transient traveling wave signal, it calibrates the highest and lowest amplitude points within the waveform. The specific calibration method is as follows:
[0038] Based on the monitored transient traveling wave signal, identify the associated waveform belonging to this transient traveling wave signal;
[0039] Identify and mark the fluctuation inflection points within the associated waveforms. The wave segments before and after the fluctuation inflection points have opposite trends. When the front line segment is rising, after passing the fluctuation inflection point, the back line segment is falling. Similarly, when the front line segment is falling, after passing the fluctuation inflection point, the back line segment is rising.
[0040] The amplitude of the points associated with the fluctuation inflection point is confirmed, and the maximum or minimum value is selected from several point amplitudes. The fluctuation inflection point associated with the maximum value is marked as the highest amplitude point, and the fluctuation inflection point associated with the minimum value is marked as the lowest amplitude point.
[0041] Specifically, the corresponding transient traveling wave signal has a corresponding signal waveform. In the fluctuation characterization associated with the signal waveform, there are several different fluctuation inflection points. Each fluctuation inflection point has a different amplitude. Some points have the highest amplitude, and some points have the lowest amplitude. Therefore, the corresponding highest and lowest points can be effectively identified in the corresponding waveform, which is convenient for subsequent feature verification and identification of whether the sampling frequency needs to be adjusted.
[0042] Its wave characteristic verification end, based on the highest and lowest amplitude points marked within the associated waveform of the transient traveling wave signal, verifies the band characteristics between the highest and lowest amplitude points. Based on the verification results, it executes different subsequent execution centers. The specific verification method is as follows:
[0043] Identify the highest and lowest amplitude points marked within the associated waveform. Extract a portion of the waveband between the highest and lowest amplitude points from the associated waveform. From this portion of the waveband, confirm whether there are other fluctuation inflection points between the highest and lowest amplitude points (i.e., confirm whether the two points are consecutive). If they exist (meaning the two points are not consecutive), then execute the fluctuation verification center. If they do not exist (meaning the two points are consecutive), then confirm whether the amplitude characteristics between the highest and lowest amplitude points are consistent: denote the amplitude associated with the highest amplitude point as F1 and the amplitude associated with the lowest amplitude point as F2. Identify whether F1 and F2 satisfy: |F1|=|F2|. If they satisfy, no processing is required (meaning the waveform characteristics acquired by this associated waveform are relatively complete, the sampling frequency meets the standard, and no adjustment is required). If they do not satisfy, then execute the amplitude verification center.
[0044] The amplitude verification center identifies the highest and lowest amplitude points within the associated waveform, determines the fluctuation trend within these bands, and verifies and adjusts the positional characteristics of the highest and lowest amplitude points based on the confirmed fluctuation trend. Then, based on the wavelength characteristics between the highest and lowest amplitude points, it locks the frequency to be tuned and transmits this information to the control center. The specific method for locking the frequency to be tuned is as follows:
[0045] Identify the two sets of zero points (the zero points are the points with an amplitude of 0) associated with the highest amplitude point from the associated waveform. Record the bands associated between the two sets of zero points as the high bands of the highest amplitude point. Then identify the two sets of zero points associated with the lowest amplitude point from the associated waveform. Record the bands associated between the two sets of zero points as the low bands of the lowest amplitude point.
[0046] The high-level bands are divided into front high-level bands and back high-level bands, with the band before the highest amplitude point being the front high-level band and the band after the highest amplitude point being the back high-level band. The band trend is confirmed from the two sets of high-level bands: the amplitude between adjacent points in the high-level bands is denoted as Z1 and Z2, and the characteristic trend is: characteristic trend = |Z1-Z2|. The maximum trend is selected from several characteristic trends, and the selected maximum trend is used as the band trend associated with the corresponding band. Starting from the zero point associated with the high-level bands, the confirmed band trend is used as the line segment trend to construct two sets of virtual lines, and the intersection of the two sets of virtual lines is determined. The determined intersection is used as the verification and adjustment point associated with the highest amplitude point.
[0047] The same method is used to process the low-level bands, which are divided into front low-level bands and back low-level bands. The band trend is confirmed from the two groups of low-level bands: the amplitude between adjacent points in the low-level bands is denoted as Z3 and Z4, and the characteristic trend is: characteristic trend = |Z3-Z4|. The maximum trend is selected from several characteristic trends and is used as the band trend associated with the corresponding band. Starting from the zero point associated with the high-level band, two sets of virtual lines are constructed with the confirmed band trend as the line segment trend, and the intersection of the two sets of virtual lines is determined. The determined intersection is used as the check and adjustment point associated with the lowest amplitude point.
[0048] Based on the calibration and adjustment points determined at the highest and lowest amplitude points, the wavelength distance L between the two sets of calibration and adjustment points is confirmed (by constructing perpendicular lines between the two sets of calibration and adjustment points, with the perpendicular lines perpendicular to the horizontal axis containing the wavelength; the perpendicular distance between the two sets of perpendicular lines is the corresponding wavelength distance L), and the wave velocity V of the transient traveling wave signal is confirmed, where V is generally taken as 3 × 10⁻⁶. 8 m / s, using (V÷2L)=f to confirm the propagation frequency f of this transient traveling wave signal, then using: the frequency to be tuned = 2f to lock the frequency to be tuned, and transmit it to the control center.
[0049] Specifically, if the sampling frequency of the corresponding signal is not up to standard, it will cause distortion in some bands with high peaks and low valleys, meaning that the band's expressive characteristics are not obvious. This will result in a smooth waveform at the corresponding peak and valley points. In order to make the corresponding signal's representation state most obvious, it is necessary to increase the corresponding sampling frequency. This will ensure that the characteristics of the corresponding signal can be fully acquired during acquisition, thereby achieving better signal acquisition results and fully guaranteeing the accuracy of signal acquisition.
[0050] The fluctuation verification center uses the same processing method as the amplitude verification center to verify and adjust the positional characteristics of the highest and lowest amplitude points. Based on the waveband where the verification and adjustment points are located, the characteristic frequency is confirmed, and then the frequency to be adjusted is locked and transmitted to the control center. The specific method for locking the frequency to be adjusted is as follows:
[0051] Based on the same processing method used by the amplitude verification center to verify and adjust the positional characteristics of the highest and lowest amplitude points, the verification and adjustment points associated with the highest and lowest amplitude points are confirmed.
[0052] Based on the confirmed verification and adjustment points, identify the previous set of fluctuation inflection points adjacent to the verification and adjustment points from the associated waveforms, and record the bands between the previous set of fluctuation inflection points and the verification and adjustment points as undetermined bands.
[0053] Next, confirm the wavelength distances J1 and J2 associated with the two sets of undetermined bands respectively. Based on the determined wave velocity V of the transient traveling wave signal, use (V÷2J1)=P1 and (V÷2J2)=P2 to confirm the two sets of frequency values P1 and P2. Select the maximum value Pmax from the two sets of frequency values, and use the frequency to be adjusted = 2Pmax to lock the frequency to be adjusted, and transmit it to the control center.
[0054] The control center adjusts the original sampling frequency based on the confirmed frequency to be adjusted, thereby increasing the original sampling frequency to achieve the purpose of frequency verification and adjustment.
[0055] Some of the data in the above formulas are numerical calculations with dimensions removed, and the contents not described in detail in this specification are all prior art known to those skilled in the art.
[0056] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended 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 methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.
Claims
1. A fault control system for distribution network equipment based on traveling wave ranging, characterized in that, include: The signal monitoring terminal is installed on the power distribution line to monitor the transient traveling wave signal generated at the fault point and transmit the monitored transient traveling wave signal to the verification and analysis terminal. The verification and analysis end confirms the amplitude of the monitored transient traveling wave signal and completes the calibration of the highest and lowest amplitude points; The wave characteristic verification end verifies the wave characteristics of the highest and lowest amplitude points marked within the associated waveform of the transient traveling wave signal, and executes different subsequent execution centers based on the verification results; The amplitude verification center identifies the highest and lowest amplitude points within the associated waveform, determines the fluctuation trend within these bands, and adjusts the positional characteristics of the two sets of amplitude points based on this trend. The adjusted wavelength characteristics then determine the frequency to be tuned. The specific method is as follows: Identify the two sets of zero points associated with the highest amplitude point from the associated waveform, and record the bands associated between the two sets of zero points as the high bands of the highest amplitude point. Then identify the two sets of zero points associated with the lowest amplitude point from the associated waveform, and record the bands associated between the two sets of zero points as the low bands of the lowest amplitude point. The high-level bands are divided into front high-level bands and back high-level bands, with the band before the highest amplitude point being the front high-level band and the band after the highest amplitude point being the back high-level band. The band trend is confirmed from the two sets of high-level bands: the amplitude between adjacent points in the high-level bands is denoted as Z1 and Z2, and the characteristic trend is set as: characteristic trend = |Z1-Z2|. The maximum trend is selected from several characteristic trends, and the selected maximum trend is used as the band trend associated with the corresponding band. Starting from the zero point associated with the high-level bands, two sets of virtual lines are constructed with the confirmed band trend as the line segment trend, and the intersection of the two sets of virtual lines is determined. The determined intersection is used as the verification and adjustment point associated with the highest amplitude point. The same method is used to process the low-level bands, which are divided into front low-level bands and back low-level bands. The band trend is confirmed from the two groups of low-level bands: the amplitude between adjacent points in the low-level bands is denoted as Z3 and Z4, and the characteristic trend is set as |Z3-Z4|. The maximum trend is selected from several characteristic trends and is used as the band trend associated with the corresponding band. Starting from the zero point associated with the high-level band, two sets of virtual lines are constructed with the confirmed band trend as the line segment trend, and the intersection of the two sets of virtual lines is determined. The determined intersection is used as the check and adjustment point associated with the lowest amplitude point. The fluctuation verification center uses the same processing method as the amplitude verification center to verify and adjust the positional characteristics of the highest and lowest amplitude points to confirm the verification and adjustment points. Based on the band where the verification and adjustment points are located, the characteristic frequencies are confirmed and the frequency to be adjusted is locked.
2. The fault control system for distribution network equipment based on traveling wave ranging according to claim 1, characterized in that, The specific method for calibrating the highest and lowest amplitude points in the verification and analysis terminal is as follows: Based on the monitored transient traveling wave signal, identify the associated waveform belonging to this transient traveling wave signal; Identify and mark the wave inflection points within the associated waveforms, as the wave bands on either side of the inflection point exhibit opposite trends. The amplitude of the points associated with the fluctuation inflection points is confirmed, and the maximum or minimum value is selected from several point amplitudes. The fluctuation inflection point associated with the maximum value is marked as the highest amplitude point, and the fluctuation inflection point associated with the minimum value is marked as the lowest amplitude point.
3. The fault control system for distribution network equipment based on traveling wave ranging according to claim 1, characterized in that, The specific method for verifying band characteristics using the wave characteristic verification terminal is as follows: Identify the highest and lowest amplitude points marked within the associated waveform. Extract a portion of the waveform between the highest and lowest amplitude points. From this portion of the waveform, determine whether there are other fluctuation inflection points between the highest and lowest amplitude points. If it exists, then execute the fluctuation verification center; If it does not exist, then confirm whether the amplitude characteristics between the highest amplitude point and the lowest amplitude point are consistent: denote the amplitude associated with the highest amplitude point as F1, and the amplitude associated with the lowest amplitude point as F2, and identify whether F1 and F2 satisfy: |F1|=|F2|. If they satisfy, no processing is required; if they do not satisfy, then execute the amplitude verification center.
4. The fault control system for distribution network equipment based on traveling wave ranging according to claim 1, characterized in that, The amplitude verification center locks the frequency to be adjusted in the following specific way: Based on the verification and adjustment points determined by the highest and lowest amplitude points respectively, the wavelength distance L between the two sets of verification and adjustment points is confirmed, and the wave velocity V of the transient traveling wave signal is confirmed. The propagation frequency f of this transient traveling wave signal is confirmed by using (V÷2L)=f. Then, the frequency to be adjusted is locked by using: frequency to be adjusted = 2f, and transmitted to the control center.
5. The fault control system for distribution network equipment based on traveling wave ranging according to claim 4, characterized in that, The specific method by which the fluctuation verification center locks the frequency to be adjusted is as follows: Based on the same processing method used by the amplitude verification center to verify and adjust the positional characteristics of the highest and lowest amplitude points, the verification and adjustment points associated with the highest and lowest amplitude points are confirmed. Based on the confirmed verification and adjustment points, identify the previous set of fluctuation inflection points adjacent to the verification and adjustment points from the associated waveforms, and record the bands between the previous set of fluctuation inflection points and the verification and adjustment points as undetermined bands. Next, confirm the wavelength distances J1 and J2 associated with the two sets of undetermined bands respectively. Based on the determined wave velocity V of the transient traveling wave signal, use (V÷2J1)=P1 and (V÷2J2)=P2 to confirm the two sets of frequency values P1 and P2. Select the maximum value Pmax from the two sets of frequency values, and use the frequency to be adjusted = 2Pmax to lock the frequency to be adjusted, and transmit it to the control center.
6. The fault control system for distribution network equipment based on traveling wave ranging according to any one of claims 4 or 5, characterized in that, The control center adjusts the original sampling frequency based on the confirmed frequency to be adjusted.