A transformer area physical topology identification method and system based on G3-PLC signal strength

Abstract

The application discloses a kind of based on G3-PLC signal strength's table area physical topology identification method, comprising the following steps: waiting for table area site to complete network access, and form table area network;Topology identification is started, and topology identification instruction is sent to all sites in table area network;Each site records the communication data with neighbor site, and constructs neighbor table based on the communication data;Concentrator collects the neighbor table information of all sites, based on preset threshold, in combination with depth-first search and greedy strategy, constructs physical relative position topology tree.The application also discloses a kind of based on G3-PLC signal strength's table area physical topology identification system.The application solves the technical problems that existing table area physical topology identification method relies on additional hardware, poor dynamic adaptability and low identification precision.

Description

Technical Field

[0001] This invention relates to the field of smart grid technology, and in particular to a method and system for identifying the physical topology of transformer substations based on G3-PLC signal strength. Background Technology

[0002] The physical topology of a distribution network area, as the core manifestation of the physical connections and hierarchical structure between various power distribution devices, is directly related to the stable operation of the power system, the efficiency of power transmission, and the quality of operation and maintenance management. Its accurate identification is a crucial prerequisite for achieving rapid fault location, orderly power outage planning, grid structure analysis, and power path tracing. However, the field of distribution network area physical topology identification still faces many pressing technical bottlenecks. The inherent defects of existing technical solutions and the practical difficulties encountered in real-world applications are intertwined, severely restricting the efficiency and reliability of grid operation and maintenance.

[0003] From the perspective of the technical solutions themselves, traditional identification methods have obvious shortcomings: manual inspection relies on maintenance personnel recording equipment connection relationships on-site, which is only suitable for small-scale distribution networks. This not only consumes a lot of manpower and resources and is inefficient, but is also prone to data errors due to human negligence; the drawing comparison method relies on design drawings or historical data for topology verification, but distribution networks inevitably undergo renovations and expansions during long-term operation, and drawings are often not updated in a timely manner, or there may even be discrepancies between the construction and the drawings. This results in the topology information obtained from the drawings being lagging or distorted, and failing to reflect the actual state of the power grid; identification technology based on characteristic current injection, although it has improved identification accuracy to some extent, requires the installation of dedicated equipment at the branches and ends of the distribution network. Using injection devices not only increases hardware purchase and installation costs but also lacks dynamic adjustment and identification capabilities, making it difficult to adapt to dynamic changes in the power grid structure. This results in significant engineering implementation difficulties and limited practicality. Furthermore, topology identification methods relying on correlation analysis of meter voltage and current data are susceptible to random fluctuations caused by environmental interference and load fluctuations, leading to deviations in correlation calculation results and reducing the accuracy of topology identification. Schemes that construct topology by calculating node distances using time delays are also problematic because the actual power line paths are often not straight. When the actual line length differs significantly from the straight-line distance between nodes, it leads to distorted distance calculations and ultimately incorrect topology judgments. In practical applications, distribution networks often face issues such as lost network diagrams and unsynchronized updates to topology information after renovations and expansions, making it impossible for maintenance personnel to obtain accurate physical topology data for transformer areas. This problem directly leads to a series of operational and maintenance difficulties: when residential users experience power outages, maintenance personnel struggle to quickly locate the faulty line segment or switch level, resulting in excessively long troubleshooting times and low power restoration efficiency; during planned power outages, the inability to accurately determine the switch nodes to be disconnected easily leads to erroneous power outages, affecting the normal power supply of users in non-outage areas and potentially causing unnecessary economic losses. Patent application CN116505659A discloses a transformer substation topology identification method and system that proposes reconstructing the topology by matching the smart circuit breaker number with command messages, but this method still requires additional smart circuit breakers, resulting in high hardware costs and implementation complexity. Therefore, there is an urgent need to propose a transformer substation physical topology identification method and system based on G3-PLC signal strength to solve the technical problems of existing transformer substation physical topology identification methods, such as reliance on additional hardware, poor dynamic adaptability, and low identification accuracy. Summary of the Invention

[0004] The main objective of this invention is to propose a method and system for identifying the physical topology of transformer substations based on G3-PLC signal strength, aiming to solve the technical problems of existing methods for identifying the physical topology of transformer substations, such as reliance on additional hardware, poor dynamic adaptability, and low identification accuracy.

[0005] To achieve the above objectives, the present invention provides a method for identifying the physical topology of a transformer substation based on G3-PLC signal strength, wherein the method includes the following steps:

[0006] S1. Wait for the transformer substations to complete their network access and establish the transformer network.

[0007] S2. Initiate topology identification by sending a topology identification command to all stations in the transformer network.

[0008] S3. Each station records communication data with neighboring stations and constructs a neighbor table based on the communication data;

[0009] S4. The concentrator collects neighbor table information for all sites and constructs a physical relative location topology tree based on preset thresholds, combining depth-first search and a greedy strategy.

[0010] In one preferred embodiment, the communication data includes signal strength, link quality indication, and phase information.

[0011] In one preferred embodiment, in step S3, each station constructs a neighbor table by arranging the stations in descending order of priority based on signal strength and link quality indicators.

[0012] In one preferred embodiment, the neighboring site in step S3 is an adjacent site that communicates directly via a power line carrier communication channel.

[0013] One preferred embodiment is that in step S4, a physical relative position topology tree is constructed, specifically as follows:

[0014] S41. The concentrator collects neighbor table information from the central coordinator and each site, constructs uplink and downlink neighbor tables, and completes neighbor table type conversion and reconstruction.

[0015] S42. Integrate the uplink neighbor table and the downlink neighbor table, select the optimal value as the unique communication data for duplicate information of the same neighbor station, and sort them by priority.

[0016] S43. Using the central coordinator as the root node of the topology tree, the depth-first search algorithm is used to traverse the integrated neighbor table, filter the neighbor nodes whose signal strength is greater than the preset threshold and whose phase is consistent, and add the stations that meet the conditions to the processed set. If all stations have been added to the processed set, the topology construction is completed; otherwise, proceed to step S44.

[0017] S44. Use a greedy strategy to filter out unprocessed sites and improve the topology tree.

[0018] In one preferred embodiment, the uplink neighbor table uses the central coordinator or station as the receiver and the station's neighboring stations as the senders.

[0019] In one preferred embodiment, the downlink neighbor table uses a central coordinator or station as the sender and the station's neighboring stations as the receivers.

[0020] One preferred embodiment, step S44, specifically includes:

[0021] S441. The candidate parent node and the target node are initially matched. The stations in the processed set are traversed. The first unprocessed neighbor station with the same phase is selected from the integrated neighbor table of each station. The neighbor station is marked as the target node to be processed. The processed station currently being traversed is used as the initial candidate parent node of the target node to be processed.

[0022] S442. Optimize and judge the candidate parent node. Query the integrated neighbor table corresponding to the target node to be processed. Determine whether there is a neighbor station that is ranked higher than the candidate parent node, has been added to the processed set, and is in the same phase. If it exists, update it as the second candidate parent node and execute step S443. Otherwise, keep the original parent node and execute step S444.

[0023] S443. To update the target node to be processed, query the integrated neighbor table of the second candidate parent node to determine whether there is a station that is ranked higher than the target node to be processed, has not been added to the processed set, and is in the same phase. If it exists, update the target node to be processed and execute step S442; otherwise, execute step S444.

[0024] S444. Node addition and topology expansion: Add the current target node to the processed set. Using the target node as the child root node, use a depth-first search algorithm to select neighboring stations with signal strength greater than a preset threshold and known phase, and add the neighboring stations to the processed set. Repeat the process. If all stations have been processed, the topology tree is completed. Otherwise, return to step S441.

[0025] In one preferred embodiment, after step S4, the method further includes:

[0026] S5. When a change in the network topology of the transformer area is detected, repeat steps S2-S4 to update the physical relative location topology tree.

[0027] A physical topology identification system for transformer substations based on G3-PLC signal strength includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the computer program executes the program, it implements the steps of the physical topology identification method for transformer substations based on G3-PLC signal strength.

[0028] The above-described technical solution of the present invention provides a method for identifying the physical topology of a transformer substation based on G3-PLC signal strength, comprising the following steps: waiting for the substation sites to complete network access and establishing the substation network; initiating topology identification by sending topology identification commands to all sites in the substation network; each site recording communication data with neighboring sites and constructing a neighbor table based on the communication data; and a concentrator collecting neighbor table information from all sites and constructing a physical relative position topology tree based on a preset threshold, combined with depth-first search and a greedy strategy. This invention solves the technical problems of existing substation physical topology identification methods, such as reliance on additional hardware, poor dynamic adaptability, and low identification accuracy. Attached Figure Description

[0029] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the structures shown in these drawings without creative effort.

[0030] Figure 1 This is a schematic diagram of a method for identifying the physical topology of a transformer substation based on the signal strength of a G3-PLC, according to an embodiment of the present invention.

[0031] Figure 2 This is a schematic diagram of the physical topology identification results in an embodiment of the present invention.

[0032] The realization of the objective, functional characteristics and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0033] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0034] Furthermore, in this invention, descriptions involving "first," "second," etc., are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined with "first" or "second" may explicitly or implicitly include at least one of that feature.

[0035] Furthermore, the technical solutions of the various embodiments of the present invention can be combined with each other, but only if they are based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such combination of technical solutions does not exist and is not within the scope of protection claimed by the present invention.

[0036] See Figures 1-2 According to one aspect of the present invention, the present invention provides a method for identifying the physical topology of a transformer substation based on G3-PLC signal strength, wherein the method for identifying the physical topology of a transformer substation based on G3-PLC signal strength includes the following steps:

[0037] S1. Wait for the transformer substations to complete their network access and establish the transformer network.

[0038] S2. Initiate topology identification by sending a topology identification command to all stations in the transformer network.

[0039] S3. Each station records communication data with neighboring stations and constructs a neighbor table based on the communication data;

[0040] S4. The concentrator collects neighbor table information for all sites and constructs a physical relative location topology tree based on preset thresholds, combining depth-first search and a greedy strategy.

[0041] Specifically, in this embodiment, the communication data includes signal strength, link quality indication, and phase information.

[0042] Specifically, in this embodiment, in step S3, each station constructs a neighbor table by arranging the signals in descending order of priority based on signal strength and link quality indicators.

[0043] Specifically, in this embodiment, the neighboring station in step S3 is an adjacent station that communicates directly through a power line carrier communication channel.

[0044] Specifically, in this embodiment, step S4 constructs a physical relative position topology tree based on the core principle that the greater the signal strength, the closer the relative position distance; the construction of the physical relative position topology tree in step S4 specifically involves:

[0045] S41. The concentrator collects neighbor table information from the central coordinator and each site, constructs uplink neighbor tables and downlink neighbor tables, and completes neighbor table type conversion and reconstruction. In the uplink neighbor table, the central coordinator or site is the receiver, and the neighboring sites of the site are the senders. The concentrator traverses the uplink neighbor tables corresponding to the central coordinator and each site to construct downlink neighbor tables. In the downlink neighbor table, the central coordinator or site is the sender, and the neighboring sites of the site are the receivers.

[0046] S42. Integrate the uplink neighbor table and the downlink neighbor table, select the optimal value as the unique communication data for duplicate information of the same neighbor station, and sort them by priority; the priority sorting is specifically: sorted in descending order according to the priority of signal strength and link quality indication.

[0047] S43. Using the central coordinator as the root node of the topology tree, the depth-first search algorithm is used to traverse the integrated neighbor table, filter the neighbor nodes whose signal strength is greater than the preset threshold and whose phase is consistent, and add the stations that meet the conditions to the processed set. If all stations have been added to the processed set, the topology construction is completed; otherwise, proceed to step S44.

[0048] S44. Use a greedy strategy to filter out unprocessed sites and improve the topology tree to ensure a local optimum.

[0049] Specifically, in this embodiment, step S44 is as follows:

[0050] S441. The candidate parent node and the target node are initially matched. The stations in the processed set are traversed. The first unprocessed neighbor station with the same phase is selected from the integrated neighbor table of each station. The neighbor station is marked as the target node to be processed. The processed station currently being traversed is used as the initial candidate parent node of the target node to be processed.

[0051] S442. Optimize and judge the candidate parent node. Query the integrated neighbor table corresponding to the target node to be processed. Determine whether there is a neighbor station that is ranked higher than the candidate parent node, has been added to the processed set, and is in the same phase. If it exists, update it as the second candidate parent node and execute step S443. Otherwise, keep the original parent node and execute step S444.

[0052] S443. To update the target node to be processed, query the integrated neighbor table of the second candidate parent node to determine whether there is a station that is ranked higher than the target node to be processed, has not been added to the processed set, and is in the same phase. If it exists, update the target node to be processed and execute step S442; otherwise, execute step S444.

[0053] S444. Node addition and topology expansion: Add the current target node to the processed set. Using the target node as the child root node, use a depth-first search algorithm to select neighboring stations with signal strength greater than a preset threshold and known phase, and add the neighboring stations to the processed set. Repeat the process. If all stations have been processed, the topology tree is completed. Otherwise, return to step S441.

[0054] Specifically, in this embodiment, after step S4, the method further includes:

[0055] S5. When a change in the network topology of the transformer area is detected, repeat steps S2-S4 to update the physical relative location topology tree.

[0056] According to another aspect of the present invention, the present invention provides a physical topology identification system for transformer substations based on G3-PLC signal strength, wherein the physical topology identification system for transformer substations based on G3-PLC signal strength includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executing the program, implements the steps of the physical topology identification method for transformer substations based on G3-PLC signal strength.

[0057] Specifically, in this embodiment, the present invention relies on existing PLC communication modules and signal characteristics to achieve topology identification. No additional equipment or manual intervention is required, significantly reducing deployment and maintenance costs, avoiding human error, and eliminating the need for dismantling and modifying existing transformer substation equipment. Data collection and analysis are performed solely through existing power line carrier communication signals, ensuring power supply and communication safety and guaranteeing stable operation of the transformer substation system. The identification results of the present invention can accurately present the relative position, hierarchy, and phase information of nodes, providing a reliable basis for equipment management and fault diagnosis, and significantly improving maintenance efficiency. Furthermore, the identification logic based on power line carrier communication signal characteristics can adapt to complex field environments, unaffected by terrain, building obstructions, or other factors, and is suitable for transformer substation scenarios of different sizes and architectures, demonstrating strong practicality and adaptability.

[0058] To facilitate understanding of the terminology related to this invention, the following explanations are provided:

[0059] CCO: Central Coordinator;

[0060] STA: Site.

[0061] The above are merely preferred embodiments of the present invention and do not limit the patent scope of the present invention. All equivalent structural transformations made using the contents of the present invention's specification and drawings under the inventive concept of the present invention, or direct / indirect applications in other related technical fields, are included within the patent protection scope of the present invention.

Claims

1. A method for identifying the physical topology of a transformer substation based on G3-PLC signal strength, characterized in that, Includes the following steps: S1. Wait for the transformer substations to complete their network access and establish the transformer network. S2. Initiate topology identification by sending a topology identification command to all stations in the transformer network. S3. Each station records communication data with neighboring stations and constructs a neighbor table based on the communication data; the communication data includes signal strength, link quality indication, and phase information; S4. The concentrator collects neighbor table information for all sites and constructs a physical relative location topology tree based on a preset threshold, combining depth-first search and a greedy strategy. The construction of the physical relative position topology tree in step S4 is specifically as follows: S41. The concentrator collects neighbor table information from the central coordinator and each site, constructs uplink and downlink neighbor tables, and completes neighbor table type conversion and reconstruction. S42. Integrate the uplink neighbor table and the downlink neighbor table, select the optimal value as the unique communication data for duplicate information of the same neighbor station, and sort them by priority. S43. Using the central coordinator as the root node of the topology tree, the depth-first search algorithm is used to traverse the integrated neighbor table, filter the neighbor nodes whose signal strength is greater than the preset threshold and whose phase is consistent, and add the stations that meet the conditions to the processed set. If all stations have been added to the processed set, the topology construction is completed; otherwise, proceed to step S44. S44. Use a greedy strategy to filter unprocessed sites and improve the topology tree; specifically: S441. The candidate parent node and the target node are initially matched. The stations in the processed set are traversed. The first unprocessed neighbor station with the same phase is selected from the integrated neighbor table of each station. The neighbor station is marked as the target node to be processed. The processed station currently being traversed is used as the initial candidate parent node of the target node to be processed. S442. Optimize and judge the candidate parent node. Query the integrated neighbor table corresponding to the target node to be processed. Determine whether there is a neighbor station that is ranked higher than the candidate parent node, has been added to the processed set, and is in the same phase. If it exists, update it as the second candidate parent node and execute step S443. Otherwise, keep the original parent node and execute step S444. S443. To update the target node to be processed, query the integrated neighbor table of the second candidate parent node to determine whether there is a station that is ranked higher than the target node to be processed, has not been added to the processed set, and is in the same phase. If it exists, update the target node to be processed and execute step S442; otherwise, execute step S444. S444. Node addition and topology expansion: Add the current target node to the processed set. Using the target node as the child root node, use a depth-first search algorithm to select neighboring stations with signal strength greater than a preset threshold and known phase, and add the neighboring stations to the processed set. Repeat the process. If all stations have been processed, the topology tree is completed. Otherwise, return to step S441.

2. The method for identifying the physical topology of a transformer substation based on G3-PLC signal strength according to claim 1, characterized in that, In step S3, each station constructs a neighbor table by arranging the stations in descending order of priority based on signal strength and link quality indicators.

3. A method for identifying the physical topology of a transformer substation based on G3-PLC signal strength according to any one of claims 1-2, characterized in that, In step S3, the neighboring station refers to an adjacent station that communicates directly with another station via a power line carrier communication channel.

4. The method for identifying the physical topology of a transformer substation based on G3-PLC signal strength according to claim 1, characterized in that, The uplink neighbor table uses the central coordinator or station as the receiver and the station's neighboring stations as the senders.

5. The method for identifying the physical topology of a transformer substation based on G3-PLC signal strength according to claim 1, characterized in that, The downlink neighbor table uses the central coordinator or station as the sender and the station's neighboring stations as the receivers.

6. A method for identifying the physical topology of a transformer substation based on G3-PLC signal strength according to any one of claims 1-2, characterized in that, After step S4, the method further includes: S5. When a change in the network topology of the transformer area is detected, repeat steps S2-S4 to update the physical relative location topology tree.

7. A physical topology identification system for transformer substations based on G3-PLC signal strength, characterized in that, It includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executing the program, implements the steps of a method for identifying the physical topology of a transformer area based on the signal strength of a G3-PLC as described in any one of claims 1-6.

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