A power distribution network primary and secondary equipment fusion traveling wave distance measurement method, device, system and medium thereof

Abstract

The application discloses a power distribution network primary and secondary equipment fusion traveling wave distance measurement method, equipment, system and medium thereof, and relates to the technical field of relay protection, which comprises the following steps: obtaining a traveling wave signal at a power distribution network line node, and recording a traveling wave arrival time according to a traveling wave signal amplitude; performing multi-scale spectrum analysis on the traveling wave signal by adopting a wavelet transform method, extracting energy distribution characteristics of different frequency bands, and calculating a traveling wave energy spectrum entropy value; correlating adjacent node data according to a topological structure of the power distribution network, and calculating a traveling wave arrival time difference according to the traveling wave arrival time between adjacent nodes; judging whether the traveling wave signal is originated from the same traveling wave event based on the energy spectrum entropy value of two nodes, performing distance calculation on the traveling wave signals originated from the same traveling wave event, and obtaining the distance from a fault point to a node. The application enhances the intelligent fault response capability of the system under a complex operation environment, and has important engineering application value and popularization prospect.

Description

Technical Field

[0001] This invention relates to the field of relay protection technology, and in particular to a method, equipment, system and medium for integrating traveling wave ranging of primary and secondary equipment in a power distribution network. Background Technology

[0002] With the development of smart distribution networks, information fusion and coordinated control between primary equipment (such as circuit breakers and transformers) and secondary equipment (such as protection devices and monitoring and control terminals) in distribution automation systems have become important means to achieve rapid fault location and handling. In medium-voltage distribution networks, due to the wide distribution of lines, complex wiring structures, and the sensitivity of terminal links to operational stability, fault detection and location have always been key bottlenecks in improving automation levels. The traveling wave method, as a high-precision method in fault location, possesses stronger instantaneous response capability and positioning accuracy than traditional impedance ranging methods, thanks to its principle of propagation time difference analysis based on high-frequency transient characteristic signals. In recent years, with the development of high-speed sampling equipment and synchronous clock technology, the application of traveling wave ranging in transmission systems has become increasingly mature. However, due to problems such as short signal propagation paths, complex network structures, and susceptibility to interference in distribution networks, traditional traveling wave ranging methods still face many technical obstacles in terms of practicality and robustness, especially in the identification of traveling wave homology and multi-node collaborative analysis under multi-source interference backgrounds, where effective means are lacking.

[0003] Existing traveling wave ranging technologies primarily rely on the arrival time of the traveling wave, recorded at a single point at a node, to infer the fault distance using the time difference between multiple measurement points. However, such methods often neglect the spectral structure and energy distribution characteristics of the traveling wave signal, making them prone to misjudgment when faced with interference signals that have similar frequency domain characteristics but are not from the same source. Furthermore, implementing traditional traveling wave ranging methods in distribution networks faces challenges such as node time synchronization errors, low accuracy in traveling wave signal identification, and rapid transient attenuation, severely impacting the stability and accuracy of fault location. Currently, there is a lack of a method that can integrate the collaborative sensing capabilities of primary and secondary equipment in the distribution network and utilize multi-scale frequency domain characteristics to determine the homogeneity of traveling wave signals, thereby improving the overall robustness and adaptability of ranging. Especially in complex distribution network topologies, how to combine structural information for node data correlation and accurate fault point tracing remains a key problem that current technologies have not yet effectively solved. Summary of the Invention

[0004] In view of the problems existing in the current method for integrating primary and secondary equipment in power distribution networks, this invention is proposed. Therefore, the problem to be solved by this invention is to provide a method, device, system, and medium for integrating primary and secondary equipment in power distribution networks.

[0005] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0006] In a first aspect, the present invention provides a method for fusion traveling wave ranging of primary and secondary equipment in a power distribution network, which includes acquiring a traveling wave signal at a node of a power distribution network line and recording the arrival time of the traveling wave according to the amplitude of the traveling wave signal.

[0007] Wavelet transform is used to perform multi-scale spectral analysis on traveling wave signals, extract energy distribution characteristics of different frequency bands, and calculate the energy spectral entropy of the traveling wave.

[0008] The data of adjacent nodes are associated with the topology of the distribution network, and the time difference of arrival of the traveling waves is calculated based on the arrival times of the traveling waves between adjacent nodes.

[0009] The energy spectrum entropy value and time difference of arrival of traveling waves are obtained from multiple nodes. Based on the energy spectrum entropy value of two nodes, it is determined whether the traveling wave signal originates from the same traveling wave event. The distance of the traveling wave signal originating from the same traveling wave event is calculated to obtain the distance from the fault point to the node.

[0010] As a preferred embodiment of the traveling wave ranging method for the integration of primary and secondary equipment in a power distribution network as described in this invention, the method of acquiring the traveling wave signal includes installing a transient current sensor on the corresponding grounding lead at the node of the power distribution network line to collect the transient current signal, filtering the collected transient current signal, inputting the filtered signal into an analog-to-digital converter, and outputting traveling wave signal data.

[0011] As a preferred embodiment of the integrated traveling wave ranging method for primary and secondary equipment in a power distribution network according to the present invention, the step of recording the arrival time of the traveling wave based on the amplitude of the traveling wave signal includes:

[0012] The amplitude of the traveling wave signal at each sampling point is compared:

[0013] If the amplitude of the traveling wave signal at M consecutive sampling points is greater than the predetermined threshold, it is considered as a traveling wave arrival trigger event and enters the confirmation state;

[0014] In the confirmed state, the amplitude of the subsequent K sampling points must remain above the predetermined threshold; otherwise, it will re-enter the idle detection state.

[0015] After confirmation, retain the waveform data of the trigger position and the sampling points before and after the trigger. When the arrival of the traveling wave is determined, read the local clock time of the current sampling moment as the arrival time of the traveling wave.

[0016] As a preferred embodiment of the integrated traveling wave ranging method for primary and secondary equipment in a power distribution network as described in this invention, the calculation of the traveling wave energy spectrum entropy includes:

[0017] The acquired traveling wave signal is divided using wavelet decomposition, and the energy spectrum of the detail coefficients is calculated, as follows:

[0018]

[0019] Among them: E l For the energy of the l-th frequency band, K l Let D be the number of signal points in the l-th frequency band, k be the index variable, and D be the frequency band number of signal points. l These are the detail coefficients for the l-th frequency band;

[0020] Energy is normalized:

[0021]

[0022] Where: P l This is the normalized energy ratio of the l-th frequency band, where n is the number of frequency bands and L is the number of decomposition layers.

[0023] The traveling wave energy spectral entropy is calculated based on the normalized energy ratio and expressed as:

[0024]

[0025] Where: H is the entropy value of the traveling wave energy spectrum, and b is the logarithmic basis.

[0026] As a preferred embodiment of the integrated traveling wave ranging method for primary and secondary equipment in a distribution network according to the present invention, the step of associating adjacent node data based on the topology of the distribution network includes:

[0027] Traverse all node sets that have uploaded traveling wave energy spectrum entropy values, and filter node pairs that belong to the same path, i.e., the traveling wave arrival time difference of the nodes does not exceed the predetermined maximum propagation time difference threshold.

[0028] The node pairs that meet the conditions are marked as candidate ranging pairs and then entered into the traveling wave time difference calculation.

[0029] If no adjacent node pairs meet the conditions, the event must wait for more nodes to report or be judged as having insufficient data, and the ranging will fail.

[0030] As a preferred embodiment of the integrated traveling wave ranging method for primary and secondary equipment in a power distribution network according to the present invention, the step of calculating the traveling wave arrival time difference based on the arrival times of the traveling waves between adjacent nodes includes:

[0031] For each candidate ranging pair, the arrival time of the traveling wave uploaded by the node is read, and the time difference of arrival of the traveling wave is calculated, expressed as:

[0032]

[0033] in: T represents the time difference of a traveling wave propagating from node i to node j. i Let T be the arrival time of the traveling wave at node i. j Let be the arrival time of the traveling wave at node j.

[0034] As a preferred embodiment of the integrated traveling wave ranging method for primary and secondary equipment in a power distribution network according to the present invention, the distance calculation of traveling wave signals originating from the same traveling wave event includes:

[0035] The distance difference between the fault point and the two nodes is calculated based on the time difference of arrival of the traveling wave, and is expressed as:

[0036] L j +L i =D ij

[0037]

[0038]

[0039] Where: L i L is the distance from the fault point to node i. j D is the distance from the fault point to node j. ij The physical distance between two adjacent nodes on the line. The distance difference between the fault point and the two nodes is given by , and v is the theoretical propagation speed of the traveling wave in the line.

[0040] The entropy compensation term is calculated and expressed as:

[0041]

[0042] in: H is the entropy compensation term, where K is the entropy difference compensation coefficient; j H represents the energy spectral entropy value of node j. i Let i be the energy spectral entropy value of node i;

[0043] The distance from the fault point to the node is corrected based on the entropy compensation term, and the distance from the fault point to the node is obtained as follows:

[0044]

[0045] Where: L i L is the distance from the fault point to node i. j D is the distance from the fault point to node j. ij The physical distance between two adjacent nodes on the line. This represents the distance difference between the fault point and the two nodes. This is the entropy compensation term.

[0046] Secondly, the present invention provides a traveling wave ranging system integrating primary and secondary equipment of a power distribution network, comprising: a recording module, used to acquire traveling wave signals at the nodes of the power distribution network lines and record the arrival time of the traveling wave according to the amplitude of the traveling wave signal;

[0047] The analysis module is used to perform multi-scale spectral analysis on traveling wave signals using wavelet transform, extract energy distribution characteristics of different frequency bands, and calculate the energy spectral entropy value of the traveling wave.

[0048] The time difference calculation module is used to associate adjacent node data according to the topology of the distribution network and calculate the time difference of arrival of the traveling wave based on the arrival time of the traveling wave between adjacent nodes.

[0049] The distance calculation module is used to obtain the energy spectrum entropy value and time difference of arrival of the traveling wave of multiple nodes. Based on the energy spectrum entropy value of two nodes, it determines whether the traveling wave signal originates from the same traveling wave event. For traveling wave signals originating from the same traveling wave event, the distance is calculated to obtain the distance from the fault point to the node.

[0050] Thirdly, the present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of a method for integrating primary and secondary equipment of a power distribution network traveling wave ranging.

[0051] Fourthly, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, it implements the steps of a method for integrating primary and secondary equipment of a power distribution network traveling wave ranging.

[0052] The beneficial effects of this invention are as follows: This invention achieves accurate identification and high-precision ranging of traveling wave signals in distribution network faults. It introduces entropy differences for homogeneity judgment and applies this to ranging compensation, significantly improving the accuracy and anti-interference capability of fault location. It not only enhances the discrimination capability and adaptability of traveling wave ranging methods in distribution networks but also strengthens the system's intelligent fault response capability in complex operating environments, possessing significant engineering application value and promising prospects for widespread application. Attached Figure Description

[0053] 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.

[0054] Figure 1 This is a flowchart of a traveling wave ranging method that integrates primary and secondary equipment in a power distribution network. Detailed Implementation

[0055] To make the above-mentioned objects, features, and advantages of the present invention more readily understood, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0056] 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.

[0057] Secondly, the term "one embodiment" or "example" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the invention. An embodiment appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single embodiment or an embodiment that selectively excludes other embodiments.

[0058] Reference Figure 1 This is the first embodiment of the present invention, which provides a method for fusion traveling wave ranging of primary and secondary equipment in a power distribution network, comprising:

[0059] S1: Collect transient current signals of the distribution network at the line nodes, perform bandpass filtering suppression processing, extract traveling wave signals in a predetermined frequency band, and record the arrival time of the traveling wave based on the amplitude of the traveling wave signal.

[0060] Specifically, transient current sensors are installed on the corresponding grounding leads at the nodes of the distribution network lines. The transient current signals are collected, filtered, and then input to an analog-to-digital converter to output digitized traveling wave signal data.

[0061] Each node obtains the UTC time signal through the GPS receiving module and uses the signal as the initial time of its local clock.

[0062] The filtered analog signal is sampled by an ADC to generate a digital sequence. The digital signal is then input into a threshold detection unit in the FPGA to compare the amplitude of the traveling wave signal at each sampling point.

[0063] If the amplitude of the traveling wave signal at M consecutive sampling points is greater than the predetermined threshold, it is considered a traveling wave arrival trigger event. The FPGA internally sets a latch flag and enters the confirmation state.

[0064] In the confirmed state, the amplitude of the subsequent K sampling points (e.g., K=10) must remain above the threshold; otherwise, it will re-enter the idle detection state to avoid misjudgment due to local interference or reflected signals.

[0065] After confirmation, retain the waveform data of the trigger position and several sampling points before and after the trigger for subsequent feature extraction.

[0066] When the threshold detection module determines that the traveling wave has arrived, the FPGA reads the local clock time of the current sampling moment and writes the value into the timestamp register as the arrival time of the traveling wave.

[0067] The FPGA uploads traveling wave samples of a fixed length before and after the trigger time and trigger position to the edge server or the main station server through the node.

[0068] S2: Wavelet transform is used to perform multi-scale spectral analysis on the traveling wave signal, extract the energy distribution characteristics of different frequency bands, and calculate the energy spectral entropy value of the traveling wave.

[0069] Specifically, the acquired traveling wave samples are normalized to reduce the impact of static bias on wavelet energy calculation;

[0070] Wavelet decomposition parameters and multi-scale partitioning were performed, and the commonly used db4 in the Daubechies series or sym4 in the Symlet series were selected as the mother wavelet.

[0071] By using wavelet decomposition, the traveling wave signal is divided into low-frequency approximate components and detail components, which are used to cover the energy characteristics of this frequency band.

[0072] Multi-scale wavelet decomposition and energy calculation are performed. In an FPGA or back-end processing unit, a discrete wavelet decomposition algorithm is applied to the processed digital traveling wave signal. The Mallat pyramid algorithm can be used for iterative decomposition to obtain the detail coefficient sequence {D1, D2, ..., D...}. L}

[0073] The energy spectrum of the detail coefficients is calculated and expressed as follows:

[0074]

[0075] Wherein: F l For the energy of the l-th frequency band, K l Let D be the number of signal points in the l-th frequency band, k be the index variable, and D be the frequency band number of signal points. l These are the detail coefficients for the l-th frequency band;

[0076] Energy is normalized:

[0077]

[0078] Where: Pl This is the normalized energy ratio of the l-th frequency band, where n is the number of frequency bands and L is the number of decomposition layers.

[0079] The energy spectral entropy value is calculated based on the normalized energy ratio, and is expressed as follows:

[0080]

[0081] Where: H is the entropy value of the traveling wave energy spectrum, and b is the logarithmic basis, which can be the natural logarithm e or 2.

[0082] S3: Associate adjacent node data based on the topology of the distribution network, and calculate the time difference of arrival of the traveling waves based on the arrival times of the traveling waves between adjacent nodes;

[0083] Specifically, the distribution network topology association and node pair matching topology information are constructed. During the initial deployment, the master station system enters the node and branch relationship table of the distribution network line, including: the identifier of all measurement nodes in the network and their geographical coordinates or equipment numbers; and the adjacency table, indicating whether there is a direct connection between two nodes (i.e., located on the same bus segment, the same feeder, or adjacent branches).

[0084] To filter adjacent node pairs, the main station iterates through all node sets that have uploaded traveling wave energy spectrum entropy values ​​and selects node pairs that meet the following conditions:

[0085] Two nodes belong to the same path: that is, there are records in the adjacency list with a path length of 1 (directly adjacent); the arrival time difference of the traveling waves between the two nodes does not exceed the maximum propagation time difference threshold.

[0086] Node pairs that meet the above conditions will be marked as candidate ranging pairs and will proceed to the next step of calculating the time difference of arrival of the traveling wave;

[0087] If no adjacent node pairs meet the conditions, the event must wait for more nodes to report or be judged as insufficient data, and the ranging will fail.

[0088] For each candidate ranging pair, the arrival time of the traveling wave uploaded by each node is read, and the time difference of arrival of the traveling wave is calculated, expressed as:

[0089]

[0090] in: T represents the time difference of a traveling wave propagating from node i to node j. i Let T be the arrival time of the traveling wave at node i. j Let be the arrival time of the traveling wave at node j. If node j is located downstream of node i (determined based on topology information), then... Otherwise, if Then the roles of the swapped nodes are recalculated.

[0091] S4: Obtain the traveling wave energy spectrum entropy value and traveling wave arrival time difference of multiple nodes. Based on the energy spectrum entropy value of two nodes, determine whether the traveling wave signal originates from the same traveling wave event. Perform distance calculation on the traveling wave signal originating from the same traveling wave event to obtain the distance from the fault point to the node.

[0092] Specifically, based on the homology verification of energy spectrum entropy values, the entropy difference is calculated by extracting the transmitted wave energy spectrum entropy values ​​uploaded by each candidate node pair, and then calculating the energy spectrum entropy difference between the two nodes, expressed as:

[0093] ΔE ij =|H j -H i |

[0094] Where: ΔE ij H represents the difference in energy spectral entropy between two nodes. j H represents the energy spectral entropy value of node j. i Let i be the energy spectral entropy value of node i;

[0095] Entropy correlation is determined to identify whether the traveling wave signals originate from the same traveling wave event. For the same traveling wave event, the energy spectrum entropy values ​​should have a high correlation between adjacent nodes.

[0096] Define the maximum entropy difference threshold E max When ΔE ij ≤E max If the traveling wave signals acquired by the two nodes are determined to be the same traveling wave event, the distance measurement is performed on the node pair that meets the condition; otherwise, the node pair is classified as entropy correlation mismatch and the data is removed.

[0097] The distance difference between the fault point and the two nodes is calculated based on the time difference of arrival of the traveling wave, and is expressed as:

[0098] L j +L i =D ij

[0099]

[0100] Where: L i L is the distance from the fault point to node i. j D is the distance from the fault point to node j. ij The physical distance between two adjacent nodes on the line. The distance difference between the fault point and the two nodes is given by , and v is the theoretical propagation speed of the traveling wave in the line.

[0101] The entropy compensation term is calculated by introducing an entropy difference compensation coefficient to transform the energy spectrum entropy difference into an equivalent distance offset term, expressed as:

[0102]

[0103] in: K is the entropy compensation term, and K is the entropy difference compensation coefficient.

[0104] The compensation coefficient K can be obtained through on-site calibration or simulation. During calibration, under the scenario where the physical distance between the fault point and the node is known, the traveling wave triggering position is fixed, and after measuring the actual arrival time difference and entropy difference of the traveling wave, the optimal entropy difference compensation coefficient is solved using the least squares method.

[0105] The distance from the fault point to the node is corrected based on the entropy compensation term, expressed as:

[0106]

[0107] Where: L i L is the distance from the fault point to node i. j D is the distance from the fault point to node j. ij The physical distance between two adjacent nodes on the line. This represents the distance difference between the fault point and the two nodes. This is an entropy compensation term;

[0108] For each node pair, the distance from the fault point to the node, calculated after compensation, is transmitted to the master station system to complete the integrated traveling wave ranging of the primary and secondary equipment of the distribution network.

[0109] Furthermore, this embodiment also provides a traveling wave ranging system integrating primary and secondary equipment of a distribution network, including: a recording module, used to acquire traveling wave signals at distribution network line nodes and record the arrival time of the traveling wave according to the amplitude of the traveling wave signal;

[0110] The analysis module is used to perform multi-scale spectral analysis on traveling wave signals using wavelet transform, extract energy distribution characteristics of different frequency bands, and calculate the energy spectral entropy value of the traveling wave.

[0111] The time difference calculation module is used to associate adjacent node data according to the topology of the distribution network and calculate the time difference of arrival of the traveling wave based on the arrival time of the traveling wave between adjacent nodes.

[0112] The distance calculation module is used to obtain the energy spectrum entropy value and time difference of arrival of the traveling wave of multiple nodes. Based on the energy spectrum entropy value of two nodes, it determines whether the traveling wave signal originates from the same traveling wave event. For traveling wave signals originating from the same traveling wave event, the distance is calculated to obtain the distance from the fault point to the node.

[0113] This embodiment also provides a computer device applicable to a method for integrating traveling wave ranging of primary and secondary equipment in a power distribution network, 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 all or part of the steps of the method described in the above embodiments of the present invention.

[0114] This embodiment also provides a storage medium on which a computer program is stored. When the computer program is executed by a processor, it performs the method in any optional implementation of the above embodiments. The storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Red-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0115] The storage medium proposed in this embodiment and the data storage method proposed in the above embodiments belong to the same inventive concept. 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.

[0116] In summary, this invention achieves accurate identification and high-precision ranging of traveling wave signals in distribution network faults. It introduces entropy differences for homogeneity judgment and applies this to ranging compensation, significantly improving the accuracy and anti-interference capability of fault location. This not only enhances the discrimination capability and adaptability of traveling wave ranging methods in distribution networks but also strengthens the system's intelligent fault response capability under complex operating environments, demonstrating significant engineering application value and promising prospects for widespread adoption.

[0117] It should be noted that the above embodiments are only used to illustrate the technical solutions 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 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 integrating traveling wave ranging in primary and secondary equipment of a power distribution network, characterized in that: include, Traveling wave signals are acquired at the nodes of the distribution network lines, and the arrival time of the traveling wave is recorded according to the amplitude of the traveling wave signal. Wavelet transform is used to perform multi-scale spectral analysis on traveling wave signals, extract energy distribution characteristics of different frequency bands, and calculate the energy spectral entropy of the traveling wave. The data of adjacent nodes are associated with the topology of the distribution network, and the time difference of arrival of the traveling waves is calculated based on the arrival times of the traveling waves between adjacent nodes. The energy spectrum entropy value and time difference of arrival of traveling waves are obtained from multiple nodes. Based on the energy spectrum entropy value of two nodes, it is determined whether the traveling wave signal originates from the same traveling wave event. The distance of the traveling wave signal originating from the same traveling wave event is calculated to obtain the distance from the fault point to the node. The calculation of the traveling wave energy spectrum entropy includes: The acquired traveling wave signal is divided using wavelet decomposition, and the energy spectrum of the detail coefficients is calculated, as follows: in: For the first Frequency band energy, For the first Number of signal points in the frequency band For index variables, For the first Detail factor of the frequency band; Energy is normalized: in: That is, the first Normalized energy ratio of frequency bands Number of frequency bands The number of decomposition layers; The traveling wave energy spectral entropy is calculated based on the normalized energy ratio and expressed as: in: The entropy value of the traveling wave energy spectrum. It is a logarithmic base; The calculation of the time difference of arrival of the traveling wave based on the arrival times of the traveling wave between adjacent nodes includes: For each candidate ranging pair, the arrival time of the traveling wave uploaded by the node is read, and the time difference of arrival of the traveling wave is calculated, expressed as: in: Indicates that the traveling wave is formed by nodes propagation to nodes Time difference, For nodes The arrival time of the traveling wave, For nodes The arrival time of the traveling wave; The distance calculation for traveling wave signals originating from the same traveling wave event includes: The distance difference between the fault point and the two nodes is calculated based on the time difference of arrival of the traveling wave, and is expressed as: in: From the fault point to the node distance, From the fault point to the node distance, The physical distance between two adjacent nodes on the line. This represents the distance difference between the fault point and the two nodes. This represents the theoretical propagation speed of the traveling wave in the circuit. The entropy compensation term is calculated and expressed as: in: For entropy compensation term, This is the entropy difference compensation coefficient; For nodes The energy spectrum entropy value, For nodes The energy spectrum entropy value; The distance from the fault point to the node is corrected based on the entropy compensation term, and the distance from the fault point to the node is obtained as follows: in: From the fault point to the node distance, From the fault point to the node distance, The physical distance between two adjacent nodes on the line. This represents the distance difference between the fault point and the two nodes. This is the entropy compensation term.

2. The method for integrating traveling wave ranging of primary and secondary equipment in a power distribution network as described in claim 1, characterized in that: The acquisition of the traveling wave signal includes installing a transient current sensor on the corresponding grounding lead at the distribution network line node to collect the transient current signal, filtering the collected transient current signal, inputting the filtered signal into an analog-to-digital converter, and outputting traveling wave signal data.

3. The method for integrating traveling wave ranging of primary and secondary equipment in a power distribution network as described in claim 2, characterized in that: The method of recording the arrival time of the traveling wave based on the amplitude of the traveling wave signal includes: The amplitude of the traveling wave signal at each sampling point is compared: If the amplitude of the traveling wave signal at M consecutive sampling points is greater than the predetermined threshold, it is considered as a traveling wave arrival trigger event and enters the confirmation state; In the confirmed state, the amplitude of the subsequent K sampling points must remain above the predetermined threshold; otherwise, it will re-enter the idle detection state. After confirmation, retain the waveform data of the trigger position and the sampling points before and after the trigger. When the arrival of the traveling wave is determined, read the local clock time of the current sampling moment as the arrival time of the traveling wave.

4. The method for integrating traveling wave ranging of primary and secondary equipment in a power distribution network as described in claim 3, characterized in that: The process of associating adjacent node data based on the topology of the distribution network includes: Traverse all node sets that have uploaded traveling wave energy spectrum entropy values, and filter node pairs that belong to the same path, i.e., the traveling wave arrival time difference of the nodes does not exceed the predetermined maximum propagation time difference threshold. The node pairs that meet the conditions are marked as candidate ranging pairs and then entered into the traveling wave time difference calculation. If no adjacent node pairs meet the conditions, the event must wait for more nodes to report or be judged as having insufficient data, and the ranging will fail.

5. A traveling wave ranging system integrating primary and secondary equipment in a power distribution network, based on the traveling wave ranging method integrating primary and secondary equipment in a power distribution network as described in any one of claims 1 to 4, characterized in that: include, The recording module is used to acquire traveling wave signals at the nodes of the distribution network lines and record the arrival time of the traveling wave based on the amplitude of the traveling wave signal. The analysis module is used to perform multi-scale spectral analysis on traveling wave signals using wavelet transform, extract energy distribution characteristics of different frequency bands, and calculate the energy spectral entropy value of the traveling wave. The time difference calculation module is used to associate adjacent node data according to the topology of the distribution network and calculate the time difference of arrival of the traveling wave based on the arrival time of the traveling wave between adjacent nodes. The distance calculation module is used to obtain the energy spectrum entropy value and time difference of arrival of the traveling wave of multiple nodes. Based on the energy spectrum entropy value of two nodes, it determines whether the traveling wave signal originates from the same traveling wave event. For traveling wave signals originating from the same traveling wave event, the distance is calculated to obtain the distance from the fault point to the node.

6. 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 integrated traveling wave ranging method for primary and secondary equipment in a power distribution network as described in any one of claims 1 to 4.

7. 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 integrated traveling wave ranging method for primary and secondary equipment in a power distribution network as described in any one of claims 1 to 4.

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