A multi-material line identification and pattern optimization method and device

Abstract

The present invention discloses a method and device for multi-material line identification and pattern optimization. When a traveling wave current is injected into the head end of the distribution line, the current traveling waves on both sides of each section line in the distribution line are monitored, wherein the section line is divided based on lines of different materials in the distribution line, and each section line only includes lines of one material; the actual measured wave velocity of each section line is calculated according to the monitored current traveling wave; the material of each section line is determined according to the actual measured wave velocity of each section line; based on the parameters of the current traveling waves on both sides of each section line, combined with the material of each section line, a distribution line topology pattern with material attributes is generated, so that the material type of each line in the distribution line can be identified, and the material can be corresponded to the topological position of the line to which it belongs, so as to generate an accurate topological pattern of the distribution line with material attributes, which is used for better line fault analysis and self-healing and applications strongly related to traveling wave positioning technology.

Description

Technical Field

[0001] The present application relates to the technical field of power systems, and in particular to a method and device for multi-material line identification and pattern optimization. Background Art

[0002] The rapid upgrade and renovation of urban and rural power grids, coupled with commercial planning, residential community construction and demolition, road construction, and other regional developments, has led to a constant shift in the materials used in the construction of 10kV distribution network lines. The interweaving of various types of lines—overhead bare conductors, overhead insulated conductors, cross-linked polyethylene cables, oil-impregnated paper cables, polyethylene all-plastic cables, and rubber cables—leads to structural imbalances and inconsistent parameters. These lines exhibit more complex fault characteristics than those found in single-medium lines, making relay protection design and coordination more challenging. This impacts the application of traveling-wave location and ranging technology, making fault analysis, protection, and location in distribution networks more challenging.

[0003] Related technologies primarily rely on manual recording for identifying lines made of various materials. However, with personnel changes and the passage of time, data is often lost, making line analysis, protection, and location significantly more difficult, and significantly reducing system reliability. Line model verification often uses injection to verify line topology paths, while line material identification often relies solely on simple cable and overhead line identification. More detailed line material identification technology is still lacking, resulting in the loss of key information in the model, which in turn impacts advanced applications of distribution automation systems and creates a technical blind spot in the advancement of traveling wave fault location technology. Summary of the Invention

[0004] The present application provides a method and device for multi-material line identification and pattern optimization, which can solve the technical problem in the prior art that the specific material type of multi-material lines cannot be identified, resulting in missing line pattern material information and affecting the advanced application of distribution automation systems.

[0005] In a first aspect, an embodiment of the present application provides a multi-material line identification and pattern optimization method, the multi-material line identification and pattern optimization method comprising:

[0006] When a traveling wave current is injected into the head end of the distribution line, the current traveling waves on both sides of each section of the distribution line are monitored. The section lines are divided based on the different materials of the distribution line, and each section line only includes lines of one material;

[0007] Calculate the actual measured wave velocity of each section of the line based on the monitored current traveling wave;

[0008] Determine the material of each section of the line based on the actual measured wave velocity of each section of the line;

[0009] Based on the parameters of the current traveling waves on both sides of each section of the line and combined with the material of each section of the line, a distribution line topology model with material attributes is generated.

[0010] In conjunction with the first aspect, in one embodiment, monitoring the current traveling waves on both sides of each section of the distribution line further includes:

[0011] The traveling wave head moment is extracted based on the monitored current traveling wave to determine the time when the traveling wave head reaches both sides of the line in each section.

[0012] In one embodiment, the calculating the actual measured wave velocity of each section of the line based on the monitored current traveling wave includes:

[0013] The actual measured wave velocity of each section of the line is obtained by dividing the length of each section of the line by the difference in the wave head time of the traveling wave on both sides of the section of the line.

[0014] In one embodiment, determining the material of each section of the line according to the actual measured wave velocity of each section of the line includes:

[0015] Compare the actual measured wave velocity of each section of the line with the empirical wave velocity of various material types, and use the material type corresponding to the empirical wave velocity with the smallest difference from the actual measured wave velocity as the material type of the corresponding section of the line.

[0016] In one embodiment, based on the parameters of the current traveling waves on both sides of each section line and in combination with the material of each section line, a distribution line topology model with material attributes is generated, including:

[0017] Based on the moment size or amplitude of the traveling wave head of the current traveling wave on both sides of each section of the line, combined with the material of each section of the line, a distribution line topology model with material attributes is generated.

[0018] In one embodiment, based on the magnitude of the traveling wave crest of the current traveling wave on both sides of each section line and in combination with the material of each section line, a distribution line topology model with material attributes is generated, including:

[0019] According to the size of the current traveling wave head moment on both sides of each section line, the section lines are connected according to the principle that the larger the traveling wave head moment is, the closer it is to the head end, and the smaller the traveling wave head moment is, the closer it is to the end. Combined with the corresponding material of the section line, a distribution line topology model with material attributes is generated.

[0020] In one embodiment, based on the amplitude of the current traveling waves on both sides of each section line and in combination with the material of each section line, a distribution line topology model with material attributes is generated, including:

[0021] According to the amplitude of the current traveling waves on both sides of each section line, the section lines are connected according to the principle that the larger the amplitude, the closer to the head end, and the smaller the amplitude, the closer to the end end. Combined with the corresponding material of the section line, a distribution line topology model with material attributes is generated.

[0022] In one embodiment, the monitored current traveling waves on both sides of each section of the line are initial traveling waves.

[0023] In one embodiment, the dividing point of each section of the line is set at the dividing point position of the mixed line of two materials.

[0024] In a second aspect, an embodiment of the present application provides a multi-material line identification and pattern optimization device, the multi-material line identification and pattern optimization device comprising:

[0025] A monitoring module is used to monitor the current traveling waves on both sides of each section of the distribution line when a traveling wave current is injected into the head end of the distribution line. The section lines are divided based on the different materials of the distribution line, and each section line only includes lines of one material;

[0026] A calculation module, which is used to calculate the actual measured wave velocity of each section of the line based on the monitored current traveling wave;

[0027] A determination module, which is used to determine the material of each section of the line according to the actual measured wave speed of each section of the line;

[0028] The generation module is used to generate a distribution line topology model with material attributes based on the parameters of the current traveling waves on both sides of each section of the line and the material of each section of the line.

[0029] The embodiments of the present application provide a method and device for multi-material line identification and pattern optimization. When a traveling wave current is injected into the head end of the distribution line, the current traveling waves on both sides of each section of the distribution line are monitored, wherein the section lines are divided based on lines of different materials in the distribution line, and each section of the section line only includes lines of one material; the actual measured wave velocity of each section of the section line is calculated according to the monitored current traveling waves; the material of each section of the section line is determined according to the actual measured wave velocity of each section of the section line; based on the parameters of the current traveling waves on both sides of each section of the section line and in combination with the material of each section of the section line, a distribution line topology pattern with material attributes is generated, thereby realizing the identification of the material type of each line in the distribution line, and being able to correspond the material to the topological position of the line to which it belongs, thereby generating a precise topological pattern of the distribution line with material attributes, which is used to better perform line fault analysis, self-healing and applications strongly related to traveling wave positioning technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1This is a flow chart of an embodiment of the multi-material circuit identification and pattern optimization method of the present application;

[0031] Figure 2 It is a multi-material line topology diagram;

[0032] Figure 3 This is the time domain distribution diagram of the traveling wave of the first section to the end section topology of the multi-material line in this application;

[0033] Figure 4 This is a functional module diagram of an embodiment of the multi-material circuit identification and pattern optimization device of the present application. DETAILED DESCRIPTION

[0034] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0035] In order to make the objectives, technical solutions and advantages of this application clearer, the implementation methods of this application will be further described in detail below with reference to the accompanying drawings.

[0036] It's worth noting that distribution lines can refer to the lines between substations and users. Distribution lines can be composed of a mix of lines made of various materials, including overhead lines and cable lines. Overhead lines can be made of bare conductors and insulated conductors, while cable lines can be made of cross-linked polyethylene cables, oil-impregnated paper cables, polyethylene plastic cables, and rubber cables. Manual line material identification in related technologies can only determine that the materials on both sides of the mixed line are different based on the demarcation point, but cannot identify the specific material of the line.

[0037] In a first aspect, an embodiment of the present application provides a multi-material circuit identification and pattern optimization method.

[0038] In one embodiment, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the multi-material line identification and pattern optimization method of this application. Figure 1 As shown, the multi-material line identification and pattern optimization method includes:

[0039] Step 101: When injecting traveling wave current at the head end of the distribution line, monitor the current traveling waves on both sides of each section line in the distribution line, wherein the section line is divided based on the lines of different materials in the distribution line, and each section line only includes lines of one material.

[0040] It is worth noting that, in this embodiment, traveling wave monitoring equipment can be installed on the distribution line to monitor the current traveling wave, and the distribution line can be divided into multiple section lines according to the distributed installation of the traveling wave monitoring equipment.

[0041] For example, distributed traveling wave monitoring devices are installed on both sides of the distribution line with different materials. The distribution line is divided into N sections according to the distributed traveling wave monitoring devices, and a corresponding mark is generated for each section. The marks of each section in the distribution line are:

[0042]

[0043] Among them, G is the tag set of the section line in the distribution line, G1 to G n It is the mark of the first segment line to the nth segment line.

[0044] As a preferred embodiment, Figure 2 As shown, the traveling wave monitoring equipment is installed on the side of each material line close to the dividing point of the mixed line, that is, the dividing point of each section line is set at the dividing point position of the mixed line of two materials.

[0045] After dividing the section line, mark the length of each section line, which is recorded as:

[0046]

[0047] Among them, L is the length of the section line in the distribution line, L1 to L n It is the length from the first segment line to the nth segment line.

[0048] After the section lines are divided, traveling wave current is injected into the first section of the distribution line, and the distributed installed traveling wave monitoring equipment can monitor the current traveling waves on both sides of each section line.

[0049] Preferably, the current traveling waves on both sides of each section line monitored by the traveling wave monitoring equipment are initial traveling waves.

[0050] Furthermore, the traveling wave monitoring device can extract the traveling wave head moment based on the monitored current traveling wave, thereby determining the time when the traveling wave head reaches both sides of each section of the line, which is recorded as:

[0051]

[0052] Among them, T is the time set when the traveling wave head arrives at both sides of each section line, T1 and T2 are the time when the traveling wave head arrives at both sides of the first section line, T2 and T3 are the time when the traveling wave head arrives at both sides of the second section line, T3 and T4 are the time when the traveling wave head arrives at both sides of the third section line, Tn-1 and T n It is the moment when the traveling wave head reaches both sides of the nth section line.

[0053] Step S102: Calculate the actual measured wave velocity of each section of the line based on the monitored current traveling wave.

[0054] Specifically, the length of each section of the line is divided by the difference in the time of the traveling wave crest on both sides of each section of the line to obtain the actual measured wave velocity of each section of the line.

[0055] For example, according to the length L of each section line and the time when the traveling wave head reaches both sides of each section line, the formula is:

[0056]

[0057] The actual measured wave velocity of each section of the line can be obtained by calculation. S is the actual calculated wave velocity set of the section line in the distribution line, V1 to V n It is the actual measured wave speed from the first section line to the nth section line.

[0058] Step S103: determining the material of each section of the line according to the actual measured wave velocity of each section of the line.

[0059] Specifically, the actual measured wave velocity of each section line is compared with the empirical wave velocity of lines of various material types, and the material type corresponding to the empirical wave velocity with the smallest difference from the actual measured wave velocity is used as the material type of the corresponding section line.

[0060] For example, the overhead bare conductor is marked as A, the overhead insulated conductor is marked as B, the cross-linked polyethylene cable is marked as C, the oil-impregnated paper cable is marked as D, the polyethylene all-plastic cable is marked as E, and the rubber cable is marked as E.

[0061] According to experience, there are significant differences in the traveling wave velocities of overhead bare conductor A, overhead insulated conductor B, cross-linked polyethylene cable C, oil-impregnated paper cable D, polyethylene all-plastic cable E, and rubber cable F. Their empirical velocities can be set as:

[0062]

[0063] Among them, V A is the empirical wave velocity of the overhead bare conductor, V B is the empirical wave velocity of the overhead insulated conductor, V C is the empirical wave velocity of cross-linked polyethylene cable, V D is the empirical wave velocity of oil-impregnated paper cable, V E is the empirical wave velocity of polyethylene all-plastic cable, V F The empirical wave velocity for rubber cables.

[0064] The actual test wave velocity of each section line is compared with the empirical wave velocity of each material type line. If the actual test wave velocity of the section line is consistent with the empirical wave velocity of the material line, the Vs table is updated and replaced with the empirical wave velocity expression. The replaced table is recorded as V j Due to measurement errors and other reasons, the actual test wave velocity of the section line may not match the empirical wave velocity of the lines of various material types. In this case, the Vs table with the smallest wave velocity difference is selected to update and replace it with the empirical wave velocity expression. The replaced table is recorded as V j Then according to V j The material line table H corresponding to the empirical wave speed is generated according to the size, and compared one by one with the line segment marks G of each section to complete the division of multiple materials of the line.

[0065] Step S104: Based on the parameters of the current traveling waves on both sides of each section of the line and in combination with the material of each section of the line, a distribution line topology model with material attributes is generated.

[0066] In one embodiment, the segment line mark Together with the material line table H, the section line marking numbers are connected one by one to generate a precise distribution line topology model with material attributes.

[0067] Preferably, based on the moment size or amplitude of the traveling wave head of the current traveling wave on both sides of each section line, combined with the material of each section line, a distribution line topology model with material attributes is generated.

[0068] Specifically, such as Figure 3 As shown in the figure, the time domain distribution of traveling waves at the beginning and end of multi-material lines is different. Based on the wave crest moment of the current traveling waves on both sides of each section line, the section lines can be connected according to the principle that the larger the wave crest moment is, the closer to the beginning, and the smaller the wave crest moment is, the closer to the end. In addition, a distribution line topology model with material attributes can be generated in combination with the corresponding materials of the section lines.

[0069] Alternatively, the amplitude of the current traveling wave can be calculated based on the monitored current traveling wave. According to the amplitude of the current traveling wave on both sides of each section line, the section lines can be connected according to the principle that the larger the amplitude is, the closer to the head end, and the smaller the amplitude is, the closer to the end end. In combination with the corresponding material of the section line, a distribution line topology model with material attributes is generated.

[0070] The multi-material line identification and pattern optimization method provided in the embodiment of the present application monitors the current traveling waves on the side of overhead bare conductors, overhead insulated conductors, cross-linked polyethylene cables, oil-impregnated paper cables, polyethylene all-plastic cables, and rubber cables, and uses the current traveling wave information to determine the line material and the topological position of the material. The distribution of each material line in the entire topological line generates an accurate topological pattern of the distribution line with material attributes. Traveling wave ranging and positioning can be performed based on the topological pattern of the distribution line to better perform fault analysis, self-healing, and applications strongly related to traveling wave positioning technology. The judgment method in the embodiment of the present application is simple and highly practical.

[0071] In a second aspect, an embodiment of the present application further provides a multi-material circuit identification and pattern optimization apparatus.

[0072] In one embodiment, referring to Figure 4 , Figure 4 This is a functional module diagram of an embodiment of the multi-material line identification and pattern optimization device of the present application. Figure 4 As shown, the multi-material line identification and pattern optimization device includes:

[0073] A monitoring module is used to monitor the current traveling waves on both sides of each section of the distribution line when a traveling wave current is injected into the head end of the distribution line. The section lines are divided based on the different materials of the distribution line, and each section line only includes lines of one material;

[0074] A calculation module, which is used to calculate the actual measured wave velocity of each section of the line based on the monitored current traveling wave;

[0075] A determination module, which is used to determine the material of each section of the line according to the actual measured wave speed of each section of the line;

[0076] The generation module is used to generate a distribution line topology model with material attributes based on the parameters of the current traveling waves on both sides of each section of the line and the material of each section of the line.

[0077] The monitoring module may be provided in the traveling wave detection device, and the generating module may be provided in the main station of the power system.

[0078] Furthermore, in one embodiment, the monitoring module is further configured to:

[0079] The traveling wave head moment is extracted based on the monitored current traveling wave to determine the time when the traveling wave head reaches both sides of the line in each section.

[0080] Furthermore, in one embodiment, the calculation module is further configured to:

[0081] The actual measured wave velocity of each section of the line is obtained by dividing the length of each section of the line by the difference in the wave head time of the traveling wave on both sides of the section of the line.

[0082] Furthermore, in one embodiment, the determining module is further configured to:

[0083] Compare the actual measured wave velocity of each section of the line with the empirical wave velocity of various material types, and use the material type corresponding to the empirical wave velocity with the smallest difference from the actual measured wave velocity as the material type of the corresponding section of the line.

[0084] Furthermore, in one embodiment, the generating module is further configured to:

[0085] Based on the moment size or amplitude of the traveling wave head of the current traveling wave on both sides of each section of the line, combined with the material of each section of the line, a distribution line topology model with material attributes is generated.

[0086] Furthermore, in one embodiment, the generating module is further configured to:

[0087] According to the size of the current traveling wave head moment on both sides of each section line, the section lines are connected according to the principle that the larger the traveling wave head moment is, the closer it is to the head end, and the smaller the traveling wave head moment is, the closer it is to the end. Combined with the corresponding material of the section line, a distribution line topology model with material attributes is generated.

[0088] Furthermore, in one embodiment, the generating module is further configured to:

[0089] According to the amplitude of the current traveling waves on both sides of each section line, the section lines are connected according to the principle that the larger the amplitude, the closer to the head end, and the smaller the amplitude, the closer to the end end. Combined with the corresponding material of the section line, a distribution line topology model with material attributes is generated.

[0090] Furthermore, in one embodiment, the monitoring module is further configured to:

[0091] The current traveling waves on both sides of each monitored section of the line are the initial traveling waves.

[0092] Furthermore, in one embodiment, the dividing point of each section of the line is set at the dividing point position of the mixed line of two materials.

[0093] Among them, the functional implementation of each module in the above-mentioned multi-material line identification and pattern optimization device corresponds to the various steps in the above-mentioned multi-material line identification and pattern optimization method embodiment, and its functions and implementation processes will not be repeated here one by one.

[0094] It should be noted that the serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0095] The terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices. The terms "first", "second" and "third" are used to distinguish different objects, etc., and do not represent a sequence, nor do they limit the "first", "second" and "third" to different types.

[0096] In the description of the embodiments of this application, the words "exemplary," "for example," or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary," "for example," or "for example" in the embodiments of this application should not be construed as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary," "for example," or "for example" is intended to present the relevant concepts in a concrete manner.

[0097] In the description of the embodiments of the present application, unless otherwise specified, “ / ” means or, for example, A / B can mean A or B; “and / or” in the text is merely a description of the association relationship of associated objects, indicating that three relationships may exist, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present application, “multiple” refers to two or more than two.

[0098] In some processes described in the embodiments of the present application, multiple operations or steps are included that appear in a specific order. However, it should be understood that these operations or steps may not be performed in the order in which they appear in the embodiments of the present application or may be performed in parallel. The sequence numbers of the operations are only used to distinguish between different operations, and the sequence numbers themselves do not represent any order of execution. In addition, these processes may include more or fewer operations, and these operations or steps may be performed in sequence or in parallel, and these operations or steps may be combined.

[0099] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, or the part that contributes to the existing technology, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above and includes a number of instructions for enabling a terminal device to execute the methods described in each embodiment of this application.

[0100] The above are only preferred embodiments of the present application and do not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A multi-material line identification and pattern optimization method, characterized in that: The multi-material line identification and pattern optimization method comprises: When the traveling wave current is injected into the head end of the distribution line, the current traveling waves on both sides of each section line in the distribution line are monitored, wherein the section line is divided based on the lines of different materials in the distribution line, and each section line only includes lines of one material; Calculate the actual measured wave speed of each section of the line based on the monitored current traveling wave; Compare the actual calculated wave speed of each section line with the empirical wave speed of various material types, and take the material type corresponding to the empirical wave speed with the smallest difference from the actual calculated wave speed as the material type of the corresponding section line; Based on the wave head moment or amplitude of the current traveling wave on both sides of each section line, combined with the material of each section line, a distribution line topology model with material attributes is generated.

2. The multi-material line identification and pattern optimization method according to claim 1, characterized in that: Monitoring the current traveling waves on both sides of each section of the distribution line, including: The traveling wave head moment is extracted according to the monitored current traveling wave to determine the time when the traveling wave head arrives at both sides of each section of the line.

3. The multi-material line identification and pattern optimization method according to claim 2, characterized in that: The actual measured wave speed of each section line is calculated according to the monitored current traveling wave, including: The actual measured wave speed of each section of the line is obtained by dividing the length of each section of the line by the difference in the wave head time of the traveling wave on both sides of the section of the line.

4. The multi-material line identification and pattern optimization method according to claim 1, characterized in that: Based on the wave head moment size of the current traveling wave on both sides of each section line, combined with the material of each section line, a distribution line topology model with material attributes is generated, including: According to the size of the wave crest moment of the current traveling wave on both sides of each section line, the section lines are connected according to the principle that the larger the wave crest moment is, the closer it is to the head end, and the smaller the wave crest moment is, the closer it is to the end. Combined with the corresponding material of the section line, a distribution line topology model with material attributes is generated.

5. The multi-material line identification and pattern optimization method according to claim 1, characterized in that: Based on the amplitude of the current traveling waves on both sides of each section of the line and the material of each section of the line, a distribution line topology model with material attributes is generated, including: According to the amplitude of the current traveling waves on both sides of each section line, the section lines are connected according to the principle that the larger the amplitude, the closer to the head end, and the smaller the amplitude, the closer to the end end, and combined with the corresponding material of the section line, a distribution line topology model with material attributes is generated.

6. The multi-material line identification and pattern optimization method according to claim 1, characterized in that: The current traveling waves on both sides of each monitored section of the line are the initial traveling waves.

7. The multi-material line identification and pattern optimization method according to claim 1, characterized in that: The dividing point of each section of the line is set at the dividing point of the mixed line of two materials.

8. A multi-material line identification and pattern optimization device, characterized in that: The multi-material line identification and pattern optimization device comprises: A monitoring module, which is used to monitor the current traveling waves on both sides of each section line in the distribution line when the traveling wave current is injected into the head end of the distribution line, wherein the section line is divided based on the lines of different materials in the distribution line, and each section line only includes lines of one material; A calculation module, which is used to calculate the actual measured wave speed of each section line according to the monitored current traveling wave; A determination module is used to compare the actual calculated wave speed of each section line with the empirical wave speed of various material types, and the material type corresponding to the empirical wave speed with the smallest difference from the actual calculated wave speed is used as the material type of the corresponding section line; A generation module is used to generate a distribution line topology model with material attributes based on the wave head moment size or amplitude size of the current wave on both sides of each section line, combined with the material of each section line.

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