Traveling wave fault positioning method and device, equipment, storage medium and program product

By building a multi-stage backbone structure of the distribution network and using the traveling wave double-end method, the problem of insufficient positioning of distribution network faults is solved, and the precise and rapid positioning of distribution network faults is achieved, especially in mountainous distribution networks, the positioning accuracy is significantly improved.

CN120103058APending Publication Date: 2025-06-06GUANGZHOU POWER SUPPLY BUREAU GUANGDONG POWER GRID CO LTD
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Patent Information

Application Number
CN202510284684.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-11
Publication Date
2025-06-06

AI Technical Summary

Technical Problem

The prior art is difficult to achieve high accuracy in the fault positioning of distribution networks, especially during the line patrol of mountain distribution networks, where the fault characteristics are weak, resulting in difficulty in positioning.

Method used

By building a multi-stage backbone structure of the distribution network, using the traveling wave double-end method and sensor detection time, the first distance and fault location are determined, and the positioning is refined step by step to improve the accuracy of fault location.

Benefits of technology

It realizes accurate and rapid positioning of distribution network faults, improves line patrol efficiency and safety, and significantly improves positioning accuracy in mountain distribution networks.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The invention relates to a traveling wave fault positioning method and device, computer equipment, a storage medium and a program product. The method comprises the following steps: constructing a topological structure into a multi-stage trunk by taking an endpoint in the topological structure of the power distribution network as a starting point according to a trunk setting strategy, determining a first distance based on detection moments of sensors at endpoints at two ends of a first trunk of the multi-stage trunk and a traveling wave double-end method under the condition of detecting that the power distribution network has a fault, and determining a second distance based on the traveling wave double-end method; and determining the fault position according to the first distance, the first node number vector corresponding to the first trunk and the first distance vector, thereby improving the accuracy of traveling wave fault positioning.
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Description

Technical Field

[0001] The present application relates to the field of robot control technology, and in particular to a traveling wave fault location method, device, equipment, storage medium and program product. Background Art

[0002] The distribution network is the last link of the power system, directly building a bridge between the power grid and users. Its operating status will directly affect the safety and stability of the entire power system. However, distribution network failures occur frequently. According to relevant statistics, more than 95% of power outages are caused by distribution networks. Its structure is relatively complex, requiring a large number of sensors. In addition, most of my country's medium-voltage distribution networks use a small current grounding system, which makes the fault characteristics weak, bringing a great workload to line patrol workers, especially increasing the difficulty of line patrol in mountainous distribution networks. Therefore, it is of great significance to carry out research on accurate and rapid fault location of distribution networks.

[0003] There are three commonly used methods for locating faults in overhead lines: impedance method, signal injection method and traveling wave method. The traveling wave method has attracted widespread attention from scholars since it was proposed due to its high positioning accuracy. Traditional distribution network positioning methods can only achieve section positioning and can only determine the approximate location of the fault. Therefore, how to improve the accuracy of traveling wave fault positioning has become an urgent problem to be solved in this field. Summary of the invention

[0004] Based on this, it is necessary to provide a traveling wave fault location method, device, equipment, storage medium and program product that can improve the accuracy of traveling wave fault location in order to solve the above technical problems.

[0005] In a first aspect, the present application provides a traveling wave fault location method, comprising:

[0006] According to the backbone setting strategy, taking one end point in the topology of the distribution network as a starting point, the topology is constructed into a multi-level backbone;

[0007] In the case where a fault in the distribution network is detected, a first distance is determined based on the detection time of sensors at the end points of the first trunk of the multi-level trunk and the traveling wave double-terminal method; the first trunk is the first-level trunk in the multi-level trunk;

[0008] The fault location is determined according to the first distance, the first node numbering vector corresponding to the first trunk and the first distance vector; the first distance element in the first distance vector is used to characterize the distance between the node corresponding to the first distance element and the starting point, and the first distance element in the first distance vector corresponds to the first numbering element in the first node numbering vector.

[0009] In one embodiment, determining the fault location according to the first distance, the first node number vector corresponding to the first trunk, and the first distance vector includes:

[0010] If the first distance is consistent with the first target distance element in the first distance vector, the node indicated by the first number element corresponding to the first target distance element in the first node number vector is taken as the target node, the target node is taken as the starting point of the second trunk to which the target node belongs, and the time when the fault traveling wave reaches the target node is determined according to the detection time of the sensor set at the position of the starting point of the first trunk, the distance between the target node and the starting point, and the traveling wave speed;

[0011] According to the time and the detection time of the sensor at the end point of the second trunk, the second distance is determined based on the traveling wave double-terminal method; the second trunk is the next-level trunk of the first trunk;

[0012] The fault location is determined based on the second distance, the second node numbering vector corresponding to the second trunk and the second distance vector; the second distance element in the second distance vector is used to characterize the distance between the node corresponding to the second distance element and the starting point of the second trunk, and the second distance element in the second distance vector corresponds to the second numbering element in the second node numbering vector.

[0013] In one embodiment, determining the fault location according to the second distance, the second node number vector corresponding to the second trunk, and the second distance vector includes:

[0014] If the second distance is consistent with the second target distance element in the second distance vector, the node indicated by the second number element corresponding to the second target distance element in the second node number vector is used as the new target node, and the new target node is used as the starting point of the third trunk to which the new target node belongs. The time when the fault traveling wave reaches the new target node is determined according to the time corresponding to the starting point of the second trunk, the distance between the new target node and the starting point of the second trunk, and the traveling wave speed; the third trunk is the next-level trunk of the second trunk;

[0015] Determine the third distance based on the traveling wave double-end method according to the time when the fault traveling wave reaches the new target node and the detection time of the sensor at the end point of the third trunk;

[0016] The fault location is determined according to the third distance, the third node numbering vector corresponding to the third trunk and the third distance vector; the third distance element in the third distance vector is used to characterize the distance between the node corresponding to the third distance element and the starting point of the third trunk, and the third distance element in the third distance vector corresponds to the third numbering element in the third node numbering vector.

[0017] In one embodiment, the method further comprises:

[0018] If the second distance is inconsistent with any second distance element in the second distance vector, the position on the second trunk where the distance from the starting point of the second trunk is equal to the second distance is taken as the fault position.

[0019] In one embodiment, the method further comprises:

[0020] If the first distance is inconsistent with any first distance element in the first distance vector, the position on the first trunk where the distance from the starting point of the first trunk is equal to the first distance is taken as the fault position.

[0021] In one embodiment, determining the time when the fault traveling wave reaches the target node according to the detection time of the sensor arranged at the starting point of the first trunk, the distance between the target node and the starting point, and the traveling wave speed includes:

[0022] The quotient is obtained by dividing the distance between the target node and the starting point by the speed of the traveling wave;

[0023] The difference between the detection time of the sensor arranged at the starting point of the first trunk and the quotient is determined, and the time when the fault traveling wave reaches the target node is determined according to the difference.

[0024] In a second aspect, the present application further provides a traveling wave fault location device, comprising: a construction module, for constructing a topology structure into a multi-level backbone based on a backbone setting strategy and taking an endpoint in the topology structure of the distribution network as a starting point;

[0025] A first determination module is used to determine a first distance based on the detection time of sensors at the end points of a first trunk of the multi-level trunks and a traveling wave double-terminal method when a fault in the distribution network is detected; the first trunk is a first-level trunk in the multi-level trunks;

[0026] The second determination module is used to determine the fault location based on the first distance, the first node numbering vector corresponding to the first trunk and the first distance vector; the first distance element in the first distance vector is used to characterize the distance between the node corresponding to the first distance element and the starting point, and the first distance element in the first distance vector corresponds to the first numbering element in the first node numbering vector.

[0027] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0028] According to the backbone setting strategy, taking one end point in the topology of the distribution network as a starting point, the topology is constructed into a multi-level backbone;

[0029] In the case where a fault in the distribution network is detected, a first distance is determined based on the detection time of sensors at the end points of the first trunk of the multi-level trunk and the traveling wave double-terminal method; the first trunk is the first-level trunk in the multi-level trunk;

[0030] The fault location is determined according to the first distance, the first node numbering vector corresponding to the first trunk and the first distance vector; the first distance element in the first distance vector is used to characterize the distance between the node corresponding to the first distance element and the starting point, and the first distance element in the first distance vector corresponds to the first numbering element in the first node numbering vector.

[0031] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the following steps are implemented:

[0032] According to the backbone setting strategy, taking one end point in the topology of the distribution network as a starting point, the topology is constructed into a multi-level backbone;

[0033] In the case where a fault in the distribution network is detected, a first distance is determined based on the detection time of sensors at the end points of the first trunk of the multi-level trunk and the traveling wave double-terminal method; the first trunk is the first-level trunk in the multi-level trunk;

[0034] The fault location is determined according to the first distance, the first node numbering vector corresponding to the first trunk and the first distance vector; the first distance element in the first distance vector is used to characterize the distance between the node corresponding to the first distance element and the starting point, and the first distance element in the first distance vector corresponds to the first numbering element in the first node numbering vector.

[0035] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0036] According to the backbone setting strategy, taking one end point in the topology of the distribution network as a starting point, the topology is constructed into a multi-level backbone;

[0037] In the case where a fault in the distribution network is detected, a first distance is determined based on the detection time of sensors at the end points of the first trunk of the multi-level trunk and the traveling wave double-terminal method; the first trunk is the first-level trunk in the multi-level trunk;

[0038] The fault location is determined according to the first distance, the first node numbering vector corresponding to the first trunk and the first distance vector; the first distance element in the first distance vector is used to characterize the distance between the node corresponding to the first distance element and the starting point, and the first distance element in the first distance vector corresponds to the first numbering element in the first node numbering vector.

[0039] The above-mentioned traveling wave fault location method, device, computer equipment, storage medium and program product, according to the setting strategy of the backbone, take one endpoint in the topological structure of the distribution network as the starting point, construct the topological structure into a multi-level backbone, and when a fault in the distribution network is detected, determine the first distance based on the detection time of the sensors at the endpoints at both ends of the first backbone of the multi-level backbone and the traveling wave two-terminal method, and determine the fault location based on the first distance, the first node number vector corresponding to the first backbone and the first distance vector, thereby improving the accuracy of traveling wave fault location. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0041] Figure 1 It is a flow chart of a traveling wave fault location method provided in an embodiment of the present application;

[0042] Figure 2 It is a schematic diagram of a topological structure of a distribution network provided in an embodiment of the present application;

[0043] Figure 3 This is a schematic diagram of a primary trunk provided in an embodiment of the present application;

[0044] Figure 4 This is a schematic diagram of a secondary trunk provided in an embodiment of the present application;

[0045] Figure 5 It is a schematic diagram of a three-level trunk provided in an embodiment of the present application;

[0046] Figure 6 This is a schematic diagram of a four-level backbone provided in an embodiment of the present application;

[0047] Figure 7 It is a flow chart of another traveling wave fault location method provided in an embodiment of the present application;

[0048] Figure 8 It is a flow chart of another traveling wave fault location method provided in an embodiment of the present application;

[0049] Fig. 9 This is a schematic diagram of a fault location of a distribution network provided in an embodiment of the present application;

[0050] Fig.10 It is a schematic diagram of the overall process of a traveling wave fault location method provided in an embodiment of the present application;

[0051] Fig.11 is a structural block diagram of a traveling wave fault locating device provided in an embodiment of the present application;

[0052] Fig.12 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0053] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0054] In an exemplary embodiment, Figure 1 As shown, Figure 1 1 is a flow chart of a traveling wave fault location method provided in an embodiment of the present application, the method comprising the following steps S101-S103:

[0055] S101, according to the setting strategy of the backbone, taking an end point in the topology structure of the distribution network as a starting point, constructing the topology structure into a multi-level backbone.

[0056] In the embodiment of the present application, an endpoint is a point with only one branch connected to it, a node is a point with two or more branches connected to it, a branch is a line with no direction and length, and the topological structure diagram has no loop. Among them, the starting point is generally selected as the endpoint of the energy input of the distribution network.

[0057] Reference Figure 2 , Figure 2 This is a schematic diagram of a topological structure of a distribution network provided in an embodiment of the present application. The endpoints and nodes in the topological structure are uniformly and uniquely numbered, black dots represent endpoints, and other small circles represent nodes. For example, endpoint 1 is numbered 1, node 2 is numbered 2, and the numbers of other nodes and endpoints can refer to Figure 2 As shown, they are not listed here one by one.

[0058] According to the backbone setting strategy, the topology structure can be constructed into a multi-level backbone with one endpoint in the topology structure of the distribution network as the starting point. The process of obtaining the multi-level backbone can refer to the following steps:

[0059] 1) You can set one of the endpoints as the starting point, starting from the starting point, passing through the largest number of nodes, and reaching the other endpoint, which is set as the first-level backbone of the topology.

[0060] 2) Start from the nodes that the current trunk passes through, pass through the largest number of nodes on the branch, and reach the other end point, which is the next trunk of the current trunk. It should be noted that when the current trunk is the first trunk, the next trunk of the current trunk is the second trunk; when the current trunk is the second trunk, the next trunk of the current trunk is the third trunk; and so on, which will not be repeated here.

[0061] 3) Repeat step 2 until the entire topology cannot be further subdivided, and finally obtain several levels of backbones.

[0062] like Figure 3 , Figure 4 , Figure 5 and Figure 6 The multi-level backbone shown in the figure, Figure 3 is a schematic diagram of a primary trunk provided in an embodiment of the present application, Figure 4 is a schematic diagram of a secondary trunk provided in an embodiment of the present application, Figure 5 is a schematic diagram of a three-level trunk provided in an embodiment of the present application, Figure 6 This is a schematic diagram of a four-level backbone provided in an embodiment of the present application.

[0063] In an embodiment of the present application, the trunk setting strategy includes that a node in the topological structure can only belong to two adjacent trunks at the same time, serving as a node passed by the upper-level trunk and the starting point of the lower-level trunk, and no longer belongs to other levels of trunks, and the lower-level trunk and the upper-level trunk have no intersection except this node; if there are multiple paths passing through the same number of nodes when selecting the trunk, the one with a longer total branch length is selected as the trunk.

[0064] S102, when a fault in the distribution network is detected, determining a first distance based on the detection time of sensors at the endpoints of the first trunk of the multi-level trunk and the traveling wave two-terminal method; the first trunk is the first-level trunk in the multi-level trunk.

[0065] The formula of the traveling wave two-terminal method is as follows:

[0066]

[0067] in, is the distance between the fault point and the starting point of the trunk, is the distance from the starting point of the trunk to the end point of the trunk, v is the propagation speed of the traveling wave, is the time when the fault traveling wave reaches the starting point of the trunk, It is the time when the fault wave reaches the end point of the trunk. The value of the propagation speed v of the wave comes from the real-time monitoring of the line or theoretical calculation. For the first-level trunk, the starting point of the trunk is one of the two ends of the trunk. For other levels of trunks, the starting point of the trunk is the node that the previous level trunk of the trunk passes through.

[0068] In this embodiment, a sensor capable of detecting fault traveling waves is set at each endpoint, so that the number of sensors arranged is minimized under the premise that the fault occurring at any position in the topology can be located by the traveling wave double-terminal method. When a fault occurs between a certain endpoint and a node connected to the endpoint, if the endpoint does not have a sensor capable of detecting the arrival of the fault traveling wave, the specific location of the fault cannot be calculated by the traveling wave double-terminal method even if sensors are installed on all other endpoints and nodes, so sensors must be installed at the endpoints. However, this method only requires the installation of sensors at each endpoint, so the number of sensors installed is minimized, and the use of traveling waves can achieve more economical, rapid, and accurate fault location of complex distribution network faults.

[0069] For the sake of convenience, the sensor number is constructed to be consistent with the endpoint number, for example, the sensor at endpoint 1 is sensor 1, and the sensor at endpoint 36 is sensor 36. For the first-level backbone, is the distance between the fault point and the endpoint sensor No. 1, is the distance from sensor 1 to sensor 36, is the detection time when the fault traveling wave detected by sensor No. 1 reaches sensor No. 1, is the detection time when the fault traveling wave detected by sensor No. 36 reaches sensor No. 36, where: is the detection time of sensor No. 1, is the detection time of sensor No. 36. Based on the above formula of the traveling wave double-terminal method, the first distance can be calculated .

[0070] S103, determine the fault location according to the first distance, the first node numbering vector corresponding to the first trunk and the first distance vector; the first distance element in the first distance vector is used to represent the distance between the node corresponding to the first distance element and the starting point, and the first distance element in the first distance vector corresponds to the first numbering element in the first node numbering vector.

[0071] The definitions of the node number vector and distance vector corresponding to each trunk are as follows:

[0072] a. For each endpoint and node, use a positive integer to uniquely number them in sequence, starting from 1.

[0073] b. Uniquely number each trunk at each level , indicating the jth trunk at the i-th level.

[0074] c. For a certain trunk , and get the two corresponding vectors , , Elements in , , are the node numbers that the trunk passes through in sequence from the starting point, Elements in , , is the distance between the node and the starting point of the trunk, The elements in Corresponding to the elements in, exemplary, and correspond, express The distance between the corresponding node and the starting point of the trunk. and correspond, express The distance between the corresponding node and the starting point of the trunk.

[0075] Figure 3 , Figure 4 , Figure 5 and Figure 6 The node number vectors and distance vectors corresponding to the multi-level trunks shown can be referred to as shown in the following Table 1.

[0076]

[0077] Table 1

[0078] If the first distance is equal to 1060 meters, referring to the first node number vector and the first distance vector corresponding to the first trunk shown in Table 1, it can be determined that the first distance is equal to the distance between node 6 and endpoint 1, that is, the first target distance element is 1060 in the corresponding first distance vector, the first distance is consistent with the first target distance element. Since node 6 is a node on the first trunk, the node indicated by the first number element corresponding to the first target distance element in the first node number vector is taken as the target node. Since the first number element corresponding to the first target distance element in the first node number vector is 6, the node indicated by the first number element 6 is node 6, so node 6 is taken as the target node. The target node is taken as the starting point of the second trunk to which the target node belongs, and the time when the fault traveling wave reaches the target node is determined according to the detection time of the sensor set at the starting point of the first trunk, the distance between the target node and the starting point, and the traveling wave speed; the second distance is determined based on the traveling wave double-end method according to the time when the fault traveling wave reaches the target node and the detection time of the sensor at the end point of the second trunk; the fault position is determined according to the second distance, the second node number vector corresponding to the second trunk and the second distance vector. If the second distance is inconsistent with any second distance element in the second distance vector, the position on the second trunk where the distance between the starting point of the second trunk and the second trunk is equal to the second distance is taken as the fault position.

[0079] If the first distance is inconsistent with any first distance element in the first distance vector, the position on the first trunk whose distance from the starting point of the first trunk is equal to the first distance is taken as the fault position. For example, if the first distance is equal to 1000 meters, the position on the first trunk whose distance from the starting point of the first trunk is equal to 1000 meters is taken as the fault position.

[0080] The method provided in this embodiment constructs the topology structure into a multi-level trunk based on the setting strategy of the trunk and takes one of the endpoints in the topology structure of the distribution network as the starting point. When a fault in the distribution network is detected, the first distance is determined based on the detection time of the sensors at the endpoints at both ends of the first trunk of the multi-level trunk and the traveling wave two-terminal method. The fault location is determined based on the first distance, the first node number vector corresponding to the first trunk and the first distance vector, thereby improving the accuracy of traveling wave fault locating.

[0081] In one embodiment, Figure 7 As shown, Figure 7 1 is a flow chart of another traveling wave fault location method provided in an embodiment of the present application. This embodiment relates to a possible implementation method of how to determine the fault location according to the first distance, the first node number vector corresponding to the first trunk, and the first distance vector. Based on the above embodiment, the above S103 may include the following steps S701-S703:

[0082] S701, if the first distance is consistent with the first target distance element in the first distance vector, the node indicated by the first numbering element corresponding to the first target distance element in the first node numbering vector is taken as the target node, and the target node is taken as the starting point of the second trunk to which the target node belongs, and the time when the fault traveling wave reaches the target node is determined according to the detection time of the sensor set at the position of the starting point of the first trunk, the distance between the target node and the starting point, and the traveling wave speed.

[0083] If the first distance is equal to 1060 meters, referring to the first node number vector and the first distance vector corresponding to the first trunk shown in Table 1, it can be determined that the first distance is consistent with the distance from node 6 to endpoint 1, and node 6 is used as the target node. The time when the fault wave reaches node 6 is Indicates that ,in, Indicates the distance between node 6 and endpoint 1, Indicates the detection time of the sensor set at the starting point of the first trunk, that is, the position of endpoint 1. The result obtained is multiplied by a preset coefficient close to 1 as the time when the traveling wave reaches node 6. The first distance equal to 1060 meters may be an actually calculated value, or the actually calculated value may not be exactly equal to 1060 meters. In this case, if the relative error between the calculated data and 1060 meters is within 1%, the calculated distance may be considered to be 1060 meters.

[0084] S702, determining a second distance based on a traveling wave double-terminal method according to the time and the detection time of the sensor at the end point of the second trunk; the second trunk is a lower-level trunk of the first trunk.

[0085] In this step, when the traveling wave double-terminal method formula is used to calculate the second distance, the traveling wave double-terminal method formula is the distance from the starting point of the second trunk to the end point of the trunk, v is the propagation speed of the traveling wave, is the time when the fault traveling wave reaches the starting point of the second trunk, is the time when the fault traveling wave reaches the end point of the second trunk. The value of the propagation speed v of the traveling wave comes from the real-time monitoring of the line or theoretical calculation.

[0086] In combination with the above examples, illustratively, the second trunk is , the traveling wave double-terminal method formula is the distance from the starting point of the second trunk, i.e., node 6, to the end point 19 of the second trunk, v is the propagation speed of the traveling wave, is the time when the fault wave reaches node 6, is the time when the fault traveling wave reaches the endpoint 19. The time when the fault traveling wave reaches the endpoint 19 is the detection time of the sensor 19 at the endpoint 19. The second distance can be calculated by combining the traveling wave double-terminal method formula.

[0087] S703, determine the fault location according to the second distance, the second node numbering vector corresponding to the second trunk and the second distance vector; the second distance element in the second distance vector is used to represent the distance between the node corresponding to the second distance element and the starting point of the second trunk, and the second distance element in the second distance vector corresponds to the second numbering element in the second node numbering vector.

[0088] If the second distance is equal to 380 meters, then according to Table 1, the second distance is The corresponding second distance vector has a second distance element that is consistent with the node number corresponding to the second distance element, and the node number corresponding to the second distance element is node 7, then node 7 is used as the new target node, and node 7 is used as the third trunk to which node 7 belongs. The starting point of the third trunk is determined, and the time when the fault traveling wave reaches node 7 is determined according to the time corresponding to node 6, the distance between node 7 and node 6, and the traveling wave speed; according to the time when the fault traveling wave reaches the new target node and the detection time of the sensor at the endpoint of the third trunk, the third distance is determined based on the traveling wave double-end method; according to the third distance, the third node number vector corresponding to the third trunk and the third distance vector, the fault location is determined.

[0089] The second distance of 380 meters may be an actually calculated value, or the actually calculated value may not be exactly 380 meters. In this case, if the relative error between the calculated data and 380 meters is within 1%, the calculated distance may be considered to be 380 meters.

[0090] The time when the fault wave reaches node 7 is Indicates that ,in, Indicates the new target node, which is node 7 and the second trunk Node 6 is The distance between the starting points, It indicates the time when the fault traveling wave reaches the starting point of the second trunk, that is, node 6. This time is the time corresponding to the starting point of the second trunk.

[0091] The method provided in this embodiment, if the first distance is consistent with the first target distance element in the first distance vector, then the node indicated by the first numbering element corresponding to the first target distance element in the first node numbering vector is used as the target node, and the target node is used as the starting point of the second trunk to which the target node belongs, and the time when the fault traveling wave reaches the target node is determined according to the detection time of the sensor set at the position of the starting point of the first trunk, the distance between the target node and the starting point, and the traveling wave speed, and the second distance is determined based on the traveling wave double-end method according to the time and the detection time of the sensor at the end point of the second trunk, and the fault position is determined according to the second distance, the second node numbering vector corresponding to the second trunk, and the second distance vector, thereby improving the accuracy of traveling wave fault locating.

[0092] In one embodiment, Figure 8 As shown, Figure 8 1 is a flow chart of another traveling wave fault location method provided by an embodiment of the present application. This embodiment relates to a possible implementation method of how to determine the fault location according to the second distance, the second node number vector corresponding to the second trunk and the second distance vector. Based on the above embodiment, the above S703 may include the following steps S801-S803:

[0093] S801, if the second distance is consistent with the second target distance element in the second distance vector, the node indicated by the second number element corresponding to the second target distance element in the second node number vector is taken as the new target node, and the new target node is taken as the starting point of the third trunk to which the new target node belongs, and the time when the fault traveling wave reaches the new target node is determined according to the time corresponding to the starting point of the second trunk, the distance between the new target node and the starting point of the second trunk, and the traveling wave speed; the third trunk is the next-level trunk of the second trunk.

[0094] If the second distance is equal to 380 meters, then according to Table 1, the second distance is The corresponding second distance vector has a second distance element that is consistent with the node number corresponding to the second distance element, and the node number corresponding to the second distance element is node 7, then node 7 is used as the new target node, and node 7 is used as the third trunk to which node 7 belongs. The starting point of the fault traveling wave is determined, and the time when the fault traveling wave reaches node 7 is determined according to the time corresponding to node 6, the distance between node 7 and node 6, and the speed of the traveling wave.

[0095] S802, determining a third distance based on a traveling wave double-terminal method according to the time when the fault traveling wave reaches the new target node and the detection time of the sensor at the end point of the third trunk.

[0096] According to the time when the fault traveling wave reaches the new target node and the detection time of the sensor at the end point of the third trunk, the third distance is determined based on the traveling wave double-terminal method.

[0097] In this step, when the traveling wave double-terminal method formula is used to calculate the third distance, the traveling wave double-terminal method formula is the distance from the starting point of the third trunk to the end point of the trunk, v is the propagation speed of the traveling wave, is the time when the fault traveling wave reaches the starting point of the third trunk, is the time when the fault traveling wave reaches the end point of the third trunk. The value of the propagation speed v of the traveling wave comes from the real-time monitoring of the line or theoretical calculation.

[0098] In combination with the above examples, illustratively, the third trunk is , the traveling wave double-terminal method formula is the distance from the starting point of the third trunk, i.e., node 7, to the end point 10 of the third trunk, v is the propagation speed of the traveling wave, is the time when the fault wave reaches node 7, is the time when the fault traveling wave reaches the endpoint No. 10. The time when the fault traveling wave reaches the endpoint No. 10 is the detection time of the No. 10 sensor at the endpoint No. 10. The third distance can be calculated by combining the traveling wave double-terminal method formula.

[0099] S803, determine the fault location according to the third distance, the third node numbering vector corresponding to the third trunk and the third distance vector; the third distance element in the third distance vector is used to represent the distance between the node corresponding to the third distance element and the starting point of the third trunk, and the third distance element in the third distance vector corresponds to the third numbering element in the third node numbering vector.

[0100] If the third distance is consistent with the third target distance element in the third distance vector, a method similar to S801-S802 is used to calculate the fourth distance. If the fourth distance is inconsistent with any fourth distance element in the fourth distance vector, a position on the fourth trunk where the distance from the starting point of the fourth trunk is equal to the fourth distance is taken as the fault position. The third target distance element is a distance element in the third distance vector.

[0101] If the third distance is inconsistent with any third distance element in the third distance vector, the position on the third trunk whose distance from the starting point of the third trunk is equal to the third distance is taken as the fault position. For example, in combination with the above example, if the third distance is equal to 340 meters, the third distance is inconsistent with any third distance element in the third distance vector, which means that the fault position is not located on the third trunk. If the fault is detected at a certain node, the location is complete and the fault is located at the third trunk. The distance from node 7 is equal to 340 meters. Fig. 9 As shown, Fig. 9 This is a schematic diagram of a fault location of a distribution network provided in an embodiment of the present application. The fault location is the third trunk The distance from node 7 is equal to 340 meters.

[0102] The method provided in this embodiment determines the fault location according to the third distance, the third node number vector corresponding to the third trunk, and the third distance vector, thereby improving the accuracy of traveling wave fault location.

[0103] In one embodiment, if the second distance is inconsistent with any second distance element in the second distance vector, a position on the second trunk whose distance from the starting point of the second trunk is equal to the second distance is taken as the fault position.

[0104] If the second trunk is , the second distance is inconsistent with any second distance element in the second distance vector, then the second trunk The position where the distance between the upper and the node 6 is equal to the second distance is taken as the fault position.

[0105] The method provided in this embodiment improves the accuracy of traveling wave fault locating by taking the position on the second trunk where the distance between the second distance and the starting point of the second trunk is equal to the second distance as the fault position if the second distance is inconsistent with any second distance element in the second distance vector.

[0106] In one embodiment, if the first distance is inconsistent with any first distance element in the first distance vector, a position on the first trunk whose distance from the starting point of the first trunk is equal to the first distance is taken as the fault position.

[0107] If the first trunk is , the first distance is inconsistent with any first distance element in the first distance vector, then the first trunk The position where the distance between the node and node 1 is equal to the first distance is taken as the fault position.

[0108] In the method provided in this embodiment, if the first distance is inconsistent with any first distance element in the first distance vector, the position on the first trunk where the distance from the starting point of the first trunk is equal to the first distance is taken as the fault position, thereby improving the accuracy of traveling wave fault locating.

[0109] In one embodiment, the time when the fault traveling wave reaches the target node is determined according to the detection time of the sensor set at the starting point of the first trunk, the distance between the target node and the starting point, and the traveling wave speed, which can be achieved in the following manner:

[0110] The distance between the target node and the starting point is divided by the traveling wave speed to obtain a quotient, and the difference between the detection time of the sensor set at the starting point of the first trunk and the quotient is determined, and the time when the fault traveling wave reaches the target node is determined according to the difference.

[0111] If the first distance is equal to 1060 meters, referring to the first node number vector and the first distance vector corresponding to the first trunk shown in Table 1, it can be determined that the first distance is consistent with the distance from node 6 to endpoint 1, and node 6 is used as the target node. The time when the fault wave reaches node 6 is Indicates that ,in, Indicates the distance between the target node and the starting point of the first trunk, which is endpoint 1. Indicates the detection time of the sensor set at the starting point of the first trunk, that is, the position of endpoint 1. The obtained result is multiplied by a preset coefficient close to 1 as the time when the fault traveling wave reaches node No. 6.

[0112] The method provided in this embodiment obtains a quotient by dividing the distance between the target node and the starting point by the traveling wave speed, and determines the difference between the detection time of the sensor set at the starting point of the first trunk and the quotient, and determines the time when the fault traveling wave reaches the target node according to the difference, thereby facilitating the determination of the fault location based on the time, thereby improving the accuracy of traveling wave fault locating.

[0113] It should be noted that the method of determining the time when the fault traveling wave reaches the target node according to the detection time of the sensor set at the position of the starting point of the first trunk, the distance between the target node and the starting point, and the traveling wave speed in the above S701 is similar to the method of determining the time when the fault traveling wave reaches the new target node according to the time corresponding to the starting point of the second trunk, the distance between the new target node and the starting point of the second trunk, and the traveling wave speed in the above S801. Both methods determine the time when the fault traveling wave reaches the target node according to the time corresponding to the starting point of the previous trunk, the distance between the target node and the starting point of the previous trunk, and the traveling wave speed. Among them, the previous trunk in S701 is the first trunk, and the previous trunk in S801 refers to the second trunk.

[0114] Combined with this Fig.10 Introduce the overall plan of this application. Fig.10 1 is a schematic diagram of the overall process of a traveling wave fault location method provided in an embodiment of the present application. The method includes:

[0115] S1001, abstracts the simple topology of the complex distribution network.

[0116] S1002, constructing several levels of backbones of the topological structure.

[0117] S1003, setting a sensor for detecting fault traveling waves at the endpoint.

[0118] S1004, after detecting the occurrence of a fault, starting from the first-level trunk, the fault traveling wave characteristics at both ends of the trunk are identified, and the fault location is calculated by combining the traveling wave double-end method.

[0119] S1005: Determine whether the calculated fault location is located at a node that the trunk passes through.

[0120] If the calculated fault location is located at a node that the trunk passes through, S1006 is executed; if the calculated fault location is not located at a node that the trunk passes through, S1007 is executed, the calculated fault location is used as the fault location, and the positioning is completed.

[0121] S1006, calculate the time when the fault wave reaches the node based on the time corresponding to the starting point of the previous level trunk and the speed of the traveling wave, and calculate the location of the fault in combination with the detection time of the sensor at the other end of the next level trunk passing through the node, and then execute S1005.

[0122] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0123] Based on the same inventive concept, the embodiment of the present application also provides a traveling wave fault locating device for implementing the traveling wave fault locating method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more traveling wave fault locating device embodiments provided below can refer to the limitations of the traveling wave fault locating method above, and will not be repeated here.

[0124] In an exemplary embodiment, Fig.11 As shown, Fig.11 11 is a structural block diagram of a traveling wave fault location device provided in an embodiment of the present application. The device 1100 includes:

[0125] A construction module 1101 is used to construct the topology structure into a multi-level backbone according to the backbone setting strategy and taking an endpoint in the topology structure of the distribution network as a starting point;

[0126] A first determination module 1102 is used to determine a first distance based on the detection time of sensors at the endpoints of a first trunk of the multi-level trunks and a traveling wave double-terminal method when a fault in the distribution network is detected; the first trunk is a first-level trunk in the multi-level trunks;

[0127] The second determination module 1103 is used to determine the fault location based on the first distance, the first node numbering vector corresponding to the first trunk and the first distance vector; the first distance element in the first distance vector is used to represent the distance between the node corresponding to the first distance element and the starting point, and the first distance element in the first distance vector corresponds to the first numbering element in the first node numbering vector.

[0128] In one embodiment, the second determining module 1103 includes:

[0129] a first determining unit, for, if the first distance is consistent with the first target distance element in the first distance vector, taking the node indicated by the first numbering element corresponding to the first target distance element in the first node numbering vector as the target node, taking the target node as the starting point of the second trunk to which the target node belongs, and determining the time when the fault traveling wave reaches the target node according to the detection time of the sensor set at the position of the starting point of the first trunk, the distance between the target node and the starting point, and the traveling wave speed;

[0130] A second determining unit is used to determine a second distance based on a traveling wave double-terminal method according to the time and the detection time of the sensor at the end point of the second trunk; the second trunk is a lower-level trunk of the first trunk;

[0131] The third determination unit is used to determine the fault location based on the second distance, the second node numbering vector corresponding to the second trunk and the second distance vector; the second distance element in the second distance vector is used to represent the distance between the node corresponding to the second distance element and the starting point of the second trunk, and the second distance element in the second distance vector corresponds to the second numbering element in the second node numbering vector.

[0132] In one embodiment, the third determination unit is specifically used to, if the second distance is consistent with the second target distance element in the second distance vector, take the node indicated by the second numbering element corresponding to the second target distance element in the second node numbering vector as the new target node, take the new target node as the starting point of the third trunk to which the new target node belongs, and determine the time when the fault traveling wave reaches the new target node according to the time corresponding to the starting point of the second trunk, the distance between the new target node and the starting point of the second trunk, and the traveling wave speed; the third trunk is the next-level trunk of the second trunk; according to the time when the fault traveling wave reaches the new target node and the detection time of the sensor at the end point of the third trunk, the third distance is determined based on the traveling wave double-end method; according to the third distance, the third node numbering vector corresponding to the third trunk and the third distance vector, the fault location is determined; the third distance element in the third distance vector is used to characterize the distance between the node corresponding to the third distance element and the starting point of the third trunk, and the third distance element in the third distance vector corresponds to the third numbering element in the third node numbering vector.

[0133] In one embodiment, the third determining unit is specifically configured to take a position on the second trunk whose distance from the starting point of the second trunk is equal to the second distance as the fault position if the second distance is inconsistent with any second distance element in the second distance vector.

[0134] In one embodiment, the second determination module 1103 is further configured to take a position on the first trunk whose distance from the starting point of the first trunk is equal to the first distance as the fault position if the first distance is inconsistent with any first distance element in the first distance vector.

[0135] Each module in the above-mentioned traveling wave fault location device can be implemented in whole or in part by software, hardware and a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0136] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Fig.12As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a traveling wave fault location method is realized. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0137] Those skilled in the art will understand that Fig.12 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0138] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps of the above method embodiment when executing the computer program. The implementation principle and technical effect are similar to those of the above method embodiment, and will not be repeated here.

[0139] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above method embodiment are implemented. The implementation principle and technical effect are similar to those of the above method embodiment, and will not be repeated here.

[0140] In one embodiment, a computer program product is provided, including a computer program. When the computer program is executed by a processor, the steps of the above method embodiment are implemented. The implementation principle and technical effect are similar to those of the above method embodiment, which will not be repeated here.

[0141] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0142] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0143] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0144] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A traveling wave fault location method, characterized in that: The method comprises: According to the backbone setting strategy, taking an endpoint in the topology structure of the distribution network as a starting point, the topology structure is constructed into a multi-level backbone; In the case where a fault in the distribution network is detected, a first distance is determined based on the detection time of sensors at the end points of a first trunk of the multi-level trunk and a traveling wave double-terminal method; the first trunk is a first-level trunk in the multi-level trunk; The fault location is determined based on the first distance, the first node numbering vector corresponding to the first trunk and the first distance vector; the first distance element in the first distance vector is used to characterize the distance between the node corresponding to the first distance element and the starting point, and the first distance element in the first distance vector corresponds to the first numbering element in the first node numbering vector.

2. The method according to claim 1, characterized in that: The determining the fault location according to the first distance, the first node number vector corresponding to the first trunk, and the first distance vector includes: If the first distance is consistent with the first target distance element in the first distance vector, the node indicated by the first number element corresponding to the first target distance element in the first node number vector is taken as the target node, the target node is taken as the starting point of the second trunk to which the target node belongs, and the time when the fault traveling wave reaches the target node is determined according to the detection time of the sensor set at the position of the starting point of the first trunk, the distance between the target node and the starting point, and the traveling wave speed; Determine the second distance based on the traveling wave double-terminal method according to the time and the detection time of the sensor at the end point of the second trunk; the second trunk is a lower-level trunk of the first trunk; The fault location is determined according to the second distance, the second node numbering vector corresponding to the second trunk and the second distance vector; the second distance element in the second distance vector is used to characterize the distance between the node corresponding to the second distance element and the starting point of the second trunk, and the second distance element in the second distance vector corresponds to the second numbering element in the second node numbering vector.

3. The method according to claim 2, characterized in that The determining the fault location according to the second distance, the second node number vector corresponding to the second trunk, and the second distance vector includes: If the second distance is consistent with the second target distance element in the second distance vector, the node indicated by the second number element corresponding to the second target distance element in the second node number vector is used as the new target node, and the new target node is used as the starting point of the third trunk to which the new target node belongs. The time when the fault traveling wave reaches the new target node is determined according to the time corresponding to the starting point of the second trunk, the distance between the new target node and the starting point of the second trunk, and the traveling wave speed; the third trunk is the next-level trunk of the second trunk; Determine the third distance based on the traveling wave double-end method according to the time when the fault traveling wave reaches the new target node and the detection time of the sensor at the end point of the third trunk; The fault location is determined according to the third distance, the third node numbering vector corresponding to the third trunk and the third distance vector; the third distance element in the third distance vector is used to characterize the distance between the node corresponding to the third distance element and the starting point of the third trunk, and the third distance element in the third distance vector corresponds to the third numbering element in the third node numbering vector.

4. The method according to claim 3, characterized in that The method further comprises: If the second distance is inconsistent with any second distance element in the second distance vector, the position on the second trunk where the distance from the starting point of the second trunk is equal to the second distance is taken as the fault position.

5. The method according to claim 1, characterized in that The method further comprises: If the first distance is inconsistent with any first distance element in the first distance vector, the position on the first trunk where the distance from the starting point of the first trunk is equal to the first distance is taken as the fault position.

6. The method according to claim 2, characterized in that The step of determining the time when the fault traveling wave reaches the target node according to the detection time of the sensor arranged at the starting point of the first trunk, the distance between the target node and the starting point, and the traveling wave speed comprises: Dividing the distance between the target node and the starting point by the traveling wave speed to obtain a quotient; The difference between the detection time of the sensor arranged at the starting point of the first trunk and the quotient is determined, and the time when the fault traveling wave reaches the target node is determined according to the difference.

7. A traveling wave fault locating device, characterized in that: The device comprises: A construction module, configured to construct the topology structure into a multi-level backbone based on a backbone setting strategy and taking an endpoint in the topology structure of the distribution network as a starting point; A first determination module is used to determine a first distance based on the detection time of sensors at the endpoints of a first trunk of the multi-level trunks and a traveling wave double-terminal method when a fault in the distribution network is detected; the first trunk is a first-level trunk in the multi-level trunks; The second determination module is used to determine the fault location based on the first distance, the first node numbering vector corresponding to the first trunk and the first distance vector; the first distance element in the first distance vector is used to characterize the distance between the node corresponding to the first distance element and the starting point, and the first distance element in the first distance vector corresponds to the first numbering element in the first node numbering vector.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.