A method, apparatus, electronic device, and storage medium for identifying low-voltage distribution area branch topology based on dynamic weight value optimization.

Abstract

This invention discloses a method, apparatus, electronic device, and storage medium for identifying low-voltage transformer substation branch topology based on dynamic weight value optimization. The method includes: acquiring a preset batch of reported information for the transformer substation to be analyzed and an initial meter box relationship matrix; repeatedly performing meter box relationship matrix maintenance operations until the total number of effective maintenance times for all meter boxes reaches a preset number of maintenance times, generating a final meter box relationship matrix; and generating the transformer substation branch topology structure result based on the final meter box relationship matrix. By implementing this invention, the robustness and accuracy of low-voltage transformer substation branch topology relationship identification are enhanced.

Description

Technical Field

[0001] This invention relates to the field of smart grid technology, specifically to a method, apparatus, electronic device, and storage medium for identifying low-voltage distribution area branch topology based on dynamic weight value optimization. Background Technology

[0002] Low-voltage distribution areas are a crucial link connecting users and power companies in the power system. Ensuring a clear topology of low-voltage distribution areas is of great significance for improving the intelligent management of power grid operation, power supply reliability, and user experience. Accurate identification of the topological relationships of low-voltage distribution areas not only provides a basis for decision-making regarding power supply services and emergency repairs, but also effectively reduces energy loss, extends the lifespan of electrical equipment, and improves the efficiency of load balancing management in the distribution areas. Therefore, accurate low-voltage distribution area topology identification is essential for building a modern smart grid.

[0003] Existing methods for identifying low-voltage distribution area topology include manual inspection, signal injection, and data-driven methods. While manual inspection can obtain on-site information, it is inefficient, costly, and ill-suited to the needs of smart grids. Signal injection identifies the topology by installing equipment at topology nodes and analyzing characteristic signals; however, this method is costly, susceptible to load fluctuations, and difficult to deploy. Data-driven methods rely on data analysis from smart meters and acquisition systems. Although they do not require additional equipment and can reduce costs, most existing data-driven methods focus only on static weight values ​​when determining the correlation between meter boxes, failing to adapt to the dynamic changes in current and voltage in low-voltage distribution areas. This results in limited ability to distinguish the topology structure of different branches, leading to low confidence in topology identification and difficulty in guaranteeing accuracy. Summary of the Invention

[0004] This invention provides a method, apparatus, electronic device, and storage medium for low-voltage distribution area branch topology identification based on dynamic weight value optimization. By implementing this invention, low-voltage distribution area branch topology identification can be achieved. By focusing on dynamic weight values ​​when determining the correlation between meter boxes, it adapts to the dynamic changes in current and voltage in the low-voltage distribution area, thereby improving the confidence level of topology identification and ensuring its accuracy.

[0005] An embodiment of the present invention provides a method for identifying low-voltage transformer substation branch topology based on dynamic weight value optimization, comprising:

[0006] Obtain the reported information of the selected consecutive batches for the area to be analyzed, as well as the initial meter box relationship matrix; wherein, the reported information of each batch includes the current value and voltage value of all meter boxes collected at a preset sampling frequency;

[0007] Repeat the table box relationship matrix maintenance operation until the total number of valid maintenance times for all table boxes reaches the preset number of maintenance times, and generate the final table box relationship matrix;

[0008] Based on the final table box relationship matrix, generate the branch topology results of the station area;

[0009] The table box relationship matrix maintenance operation includes:

[0010] Retrieve the current reported information; the initial reported information is the earliest batch of unprocessed reported information.

[0011] Calculate the current and voltage changes for each meter box at the current sampling time point;

[0012] If only one meter box has a current change value greater than a preset current threshold, the meter box with the current change value greater than the current threshold is set as the reference meter box, and the remaining meter boxes are set as the target meter boxes.

[0013] Calculate the voltage threshold based on the voltage change value of the corresponding reference meter box; compare each corresponding target meter box with the voltage threshold.

[0014] The target meter box with a voltage change value greater than the voltage threshold is designated as the meter box to be updated; the element corresponding to the meter box to be updated in the meter box relationship matrix is ​​updated according to the dynamic weight value, and the effective maintenance count of the baseline meter box is incremented by 1;

[0015] If it is determined that the effective maintenance count of all boxes has not reached the preset maintenance count, it is determined whether the current sampling time point is the last sampling time point of the current reported information; if so, the earliest batch of reported information that has not yet been processed is selected to update the current reported information; if not, the next sampling time point is selected to update the current sampling time point.

[0016] Furthermore, the initial table box relationship matrix is ​​generated in the following manner:

[0017] Obtain the number of meter boxes in the area to be analyzed;

[0018] Based on the number of meter boxes in the area to be analyzed, a meter box relationship matrix is ​​generated with the number of rows and columns equal to the number of meter boxes. Each row and column in the matrix corresponds to a meter box, which is used to represent the relationship between the meter box and other meter boxes.

[0019] Furthermore, the calculation of the current change value and voltage change value of each meter box at the current sampling time point includes:

[0020] Based on the current reported information, calculate the difference between the current value at the current sampling time point and the current value at the previous sampling time point for each meter box, and obtain the current change value for each meter box.

[0021] Based on the current reported information, calculate the difference between the voltage value at the current sampling time point and the voltage value at the previous sampling time point for each meter box, and obtain the voltage change value for each meter box.

[0022] Furthermore, dynamic weight values ​​are generated in the following way:

[0023] Obtain the current effective maintenance count of the baseline gauge box;

[0024] Calculate the quotient of the current effective maintenance count of the baseline box and the preset continuous batch to generate a dynamic weight value.

[0025] Furthermore, the step of generating the substation branch topology result based on the final table box relationship matrix includes:

[0026] The final table box relationship matrix is ​​denoised to generate a denoised table box relationship matrix.

[0027] The noise-reduced meter box relationship matrix is ​​searched and accessed to output the branch topology results of the station area.

[0028] Based on the above method embodiments, the present invention provides corresponding apparatus embodiments.

[0029] An embodiment of the present invention provides a low-voltage distribution area branch topology identification device based on dynamic weight value optimization, comprising: a data acquisition module, a matrix generation module, and a topology generation module.

[0030] The data acquisition module is used to acquire the reported information of a preset continuous batch of stations to be analyzed, as well as the initial table box relationship matrix.

[0031] The matrix generation module is used to repeatedly perform the table box relationship matrix maintenance operation until the total number of valid maintenance times for all table boxes reaches the preset number of maintenance times, and then generate the final table box relationship matrix. The meter box relationship matrix maintenance operation includes: acquiring the current reported information; wherein the initial reported information is the earliest unprocessed batch of reported information; calculating the current change value and voltage change value of each meter box at the current sampling time point; if only one meter box has a current change value greater than a preset current threshold, the meter box with a current change value greater than the current threshold is set as the reference meter box, and the remaining meter boxes are set as target meter boxes; calculating the voltage threshold based on the voltage change value of the corresponding reference meter box; comparing each corresponding target meter box with the voltage threshold; the target meter box with a voltage change value greater than the voltage threshold is designated as the meter box to be updated; updating the element corresponding to the meter box to be updated in the meter box relationship matrix according to the dynamic weight value, and incrementing the effective maintenance count of the reference meter box by 1; if it is determined that the effective maintenance count of all meter boxes has not reached the preset maintenance count, determining whether the current sampling time point is the last sampling time point of the current reported information; if yes, then reselecting the earliest unprocessed batch of reported information to update the current reported information; if no, then selecting the next sampling time point to update the current sampling time point.

[0032] The topology generation module is used to generate the branch topology results of the transformer area based on the final table box relationship matrix.

[0033] Furthermore, the data acquisition module generates the initial table box relationship matrix in the following way:

[0034] Obtain the number of meter boxes in the area to be analyzed;

[0035] Based on the number of meter boxes in the area to be analyzed, a meter box relationship matrix is ​​generated with the number of rows and columns equal to the number of meter boxes. Each row and column in the matrix corresponds to a meter box, which is used to represent the relationship between the meter box and other meter boxes.

[0036] Furthermore, the matrix maintenance module, in calculating the current change value and voltage change value of each meter box at the current sampling time point, includes:

[0037] Based on the current reported information, calculate the difference between the current value at the current sampling time point and the current value at the previous sampling time point for each meter box, and obtain the current change value for each meter box.

[0038] Based on the current reported information, calculate the difference between the voltage value at the current sampling time point and the voltage value at the previous sampling time point for each meter box, and obtain the voltage change value for each meter box.

[0039] Furthermore, the topology generation module includes: a noise reduction processing unit and a topology output unit;

[0040] The noise reduction processing unit is used to perform noise reduction processing on the final table box relationship matrix to generate a noise-reduced table box relationship matrix.

[0041] The topology output unit is used to search and access the noise-reduced meter box relationship matrix and output the branch topology results of the station area.

[0042] Based on the above method embodiments, the present invention provides corresponding electronic device embodiments.

[0043] An embodiment of the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it can implement the low-voltage substation branch topology identification method based on dynamic weight value optimization as described in any of the above-described method embodiments.

[0044] Based on the above method embodiments, the present invention provides corresponding storage medium embodiments.

[0045] One embodiment of the present invention provides a storage medium storing a computer program thereon, which, when executed by a processor, can implement the low-voltage substation branch topology identification method based on dynamic weight value optimization as described in any of the above-described method embodiments.

[0046] Compared with the prior art, the present invention has the following beneficial effects:

[0047] This invention provides a method, apparatus, electronic device, and storage medium for identifying branch topology in low-voltage distribution areas based on dynamic weight value optimization. The method selects the earliest unprocessed batch of reported information as the current processing object and calculates the current and voltage changes of each meter box. If the current change of a meter box exceeds a preset threshold while other meter boxes do not, that meter box is marked as a maintenance node and set as a reference meter box, while the remaining meter boxes are set as target meter boxes. A corresponding voltage threshold is calculated based on the voltage change of the reference meter box. If the voltage change of the target meter box exceeds this threshold, the dynamic weight of the corresponding element in the meter box relationship matrix is ​​increased, and a valid maintenance is recorded. The meter box relationship matrix maintenance operation continues until the total number of valid maintenance times for all meter boxes reaches a predetermined requirement, generating the final meter box relationship matrix. Finally, based on the final meter box relationship matrix, the branch topology of the distribution area is generated.

[0048] This invention maintains the meter box relationship matrix through dynamic weight values. By comparing the voltage change value of the target meter box with the voltage change value of the reference meter box, it infers whether there is a similar topological relationship between the target meter box and the reference meter box. Then, it dynamically adjusts the weight of the target meter box according to the effective maintenance number of the meter box to adapt to the dynamic changes of current and voltage in the low-voltage distribution area, thereby enhancing the robustness and accuracy of low-voltage distribution area branch topology relationship identification. Attached Figure Description

[0049] Figure 1 This is a flowchart illustrating a low-voltage distribution area branch topology identification method based on dynamic weight value optimization, provided by an embodiment of the present invention.

[0050] Figure 2 This is a flowchart illustrating the table box relationship matrix maintenance operation according to an embodiment of the present invention.

[0051] Figure 3 This is a schematic diagram of a low-voltage substation branch topology identification device based on dynamic weight value optimization, provided in an embodiment of the present invention. Detailed Implementation

[0052] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0053] like Figure 1 As shown, an embodiment of the present invention provides a method for identifying low-voltage transformer substation branch topology based on dynamic weight value optimization, which includes at least the following steps:

[0054] Step S1: Obtain the reported information of the preset consecutive batches of the station area to be analyzed and the initial table box relationship matrix;

[0055] It should be noted that each batch of reported information includes the current and voltage values ​​of all meter boxes collected at a preset sampling frequency. Each batch of reported information uses a time period of equal length as the sampling interval, and samples are acquired at the same sampling frequency within each time period. For example, if the sampling time period is one hour and the sampling frequency is 20 minutes, then in one embodiment, sampling can be performed within time periods such as 0~1 hour, 1~2 hours, etc., and at a sampling frequency of once every 20 minutes, the current and voltage values ​​of the meter boxes at times such as 0:20, 0:40, and 1:00 can be obtained.

[0056] Specifically, the number of rows and columns in the meter box relationship matrix is ​​equal to the number of meter boxes. Each row and column in the matrix corresponds to one meter box, representing the relationship between that meter box and other meter boxes. Initially, the meter box relationship matrix is ​​a zero matrix. By continuously maintaining the meter box relationship matrix, the branch topology of the low-voltage substation can be output based on the final meter box relationship matrix.

[0057] Step S2: Repeat the table box relationship matrix maintenance operation until the total number of valid maintenance times for all table boxes reaches the preset number of maintenance times, and generate the final table box relationship matrix.

[0058] like Figure 2 As shown, in one embodiment of the present invention, the table box relationship matrix maintenance operation includes at least the following steps:

[0059] Step S2.1: Obtain the current reported information;

[0060] Specifically, the initial reported information is the earliest batch of unprocessed reported information. This reported information includes the current and voltage values ​​of all meter boxes collected at a preset sampling frequency.

[0061] Step S2.2: Calculate the current change value and voltage change value of each meter box at the current sampling time point.

[0062] In practice, calculating the current and voltage changes of each meter box at the current sampling time point includes:

[0063] Based on the current reported information, calculate the difference between the current value at the current sampling time point and the current value at the previous sampling time point for each meter box, and obtain the current change value for each meter box.

[0064] Based on the current reported information, calculate the difference between the voltage value at the current sampling time point and the voltage value at the previous sampling time point for each meter box, and obtain the voltage change value for each meter box.

[0065] Preferably, dynamic weight values ​​are generated in the following manner:

[0066] Obtain the current effective maintenance count of the baseline gauge box;

[0067] Calculate the quotient of the current effective maintenance count of the baseline box and the preset continuous batch to generate a dynamic weight value.

[0068] Based on the calculations from the current sampling time point and the previous sampling time point, the current change value and voltage change value of each meter box at the current sampling time point can be obtained. It should be noted that this invention uses these change values ​​to determine the correlation between meter boxes. However, since the data from the previous sampling time point of the first sampling point is unavailable, to avoid adverse effects on the implementation of this invention, in all embodiments, the current change value and voltage change value of each meter box at the first sampling time point are defaulted to zero.

[0069] Step S2.3: If only one meter box has a current change value greater than a preset current threshold, set the meter box with the current change value greater than the current threshold as the reference meter box, and set the remaining meter boxes as target meter boxes.

[0070] In practice, the preset current threshold can be selected according to the actual situation; a recommended value of 0.5A is used here. By iterating through all sampling time points, if only one meter box has a current change value greater than the preset current threshold, then the meter box with the current change value greater than the current threshold is set as the reference meter box, and the remaining meter boxes are set as target meter boxes. The voltage change value of the reference meter box will serve as an important basis for maintaining the meter box relationship matrix for subsequent target meter boxes.

[0071] Step S2.4: Calculate the voltage threshold based on the voltage change value of the corresponding reference meter box; compare each corresponding target meter box with the voltage threshold.

[0072] In the specific implementation, the voltage change value of the reference meter box is calculated by multiplying it by a preset adjustment factor to generate a voltage threshold. The preset adjustment factor can be selected according to the actual situation.

[0073] Step S2.5: Select the target meter box whose voltage change value is greater than the voltage threshold as the meter box to be updated; update the corresponding element of the meter box to be updated in the meter box relationship matrix according to the dynamic weight value, and increment the effective maintenance count of the reference meter box by 1;

[0074] In a preferred embodiment, the dynamic weight value is calculated by the ratio of the effective maintenance count of the baseline box to the preset consecutive batch. Based on the dynamic weight value, the corresponding element in the box relationship matrix for the box to be updated is updated, and the effective maintenance count of the baseline box is incremented by 1. For example, given a target box A and a baseline box B, where target box A is the box to be updated, the corresponding element in the box relationship matrix needs to be updated based on the dynamic weight value. First, the corresponding dynamic weight value is calculated based on the ratio of the effective maintenance count of baseline box B to the preset consecutive batch. Then, the dynamic weight value is added to the element values ​​in the row of target box A and the column of baseline box B in the box relationship matrix, generating the updated element values. The effective maintenance count of baseline box B is then incremented by 1, completing this update of the box relationship matrix. Through continuous updates to the box relationship matrix, a box relationship matrix representing the connection relationships between each box is eventually obtained. A method similar to outputting adjacency relationship matrix node information can be used to obtain the direct connection status between each box. Based on the connection status, a branch topology structure of the boxes can be generated.

[0075] Step S2.6: If it is determined that the effective maintenance count of all boxes has not reached the preset maintenance count, determine whether the current sampling time point is the last sampling time point of the current reported information; if yes, then select the earliest batch of reported information that has not yet been processed and update the current reported information; if no, then select the next sampling time point to update the current sampling time point.

[0076] In actual operation, the preset maintenance count can be selected according to the actual situation. If the effective maintenance count of all boxes has not reached the preset maintenance count, it is then determined whether the current sampling time point is the last sampling time point of the current reported information. If so, the current reported information has been processed, and the earliest batch of reported information that has not yet been processed is selected to update the current reported information, and the update and maintenance of the box relationship matrix continues. If not, the next sampling time point is selected to update the current sampling time point, and the update of the box relationship matrix continues.

[0077] Step S3: Generate the branch topology results of the transformer area based on the final table box relationship matrix.

[0078] The final meter box relationship matrix is ​​analogous to an adjacency matrix, recording the connection relationships between each meter box and other meter boxes. Each row and column in the matrix corresponds to a meter box, representing the association relationship between that meter box and other meter boxes. In an optional embodiment, generating the substation branch topology result based on the final meter box relationship matrix includes:

[0079] The final table box relationship matrix is ​​denoised to generate a denoised table box relationship matrix.

[0080] The noise-reduced meter box relationship matrix is ​​searched and accessed to output the branch topology results of the station area.

[0081] In its specific implementation, the noise reduction process includes:

[0082] Calculate the average value of the elements in the table box relationship matrix based on the element values.

[0083] Calculate the product of the average value of the matrix elements and a preset ratio to generate a noise reduction baseline value;

[0084] Elements in the table-box relationship matrix whose values ​​are less than the noise reduction baseline are set to zero. Then, the elements of the denoised matrix are searched, and the visited nodes are in the same branch. After the current search and visit of a certain path is completed, the search and visit of other nodes begins, and they are assigned to the next branch, thus obtaining the table-box branch relationship of the station area to be analyzed.

[0085] Based on the branch relationships of the meter boxes in the area to be analyzed, the branch topology results of the area are output.

[0086] In the specific implementation, the search access can employ a depth-first search algorithm to traverse the table-box relationship matrix and output the connection status of each node. The preset proportional product can be selected according to the actual situation; a recommended value of 10% is selected here.

[0087] Based on the above method embodiments, the present invention provides corresponding apparatus embodiments.

[0088] like Figure 3 As shown, an embodiment of the present invention provides a low-voltage distribution area branch topology identification device based on dynamic weight value optimization, including: a data acquisition module 101, a matrix generation module 102 and a topology generation module 103.

[0089] The data acquisition module 101 is used to acquire the reported information of a preset continuous batch of stations to be analyzed and the initial table box relationship matrix.

[0090] The matrix generation module 102 is used to repeatedly perform the meter box relationship matrix maintenance operation until the total number of effective maintenance times for all meter boxes reaches a preset number of maintenance times, generating the final meter box relationship matrix. The meter box relationship matrix maintenance operation includes: acquiring the current reported information; wherein the initial reported information is the earliest unprocessed batch of reported information; calculating the current change value and voltage change value of each meter box at the current sampling time point; if only one meter box has a current change value greater than a preset current threshold, the meter box with the current change value greater than the current threshold is set as the reference meter box, and the remaining meter boxes are set as target meter boxes; based on the voltage change value of the corresponding reference meter box... Calculate the voltage threshold based on the voltage change value; compare each corresponding target meter box with the voltage threshold; select the target meter box whose voltage change value is greater than the voltage threshold as the meter box to be updated; update the element corresponding to the meter box to be updated in the meter box relationship matrix according to the dynamic weight value, and increment the effective maintenance count of the baseline meter box by 1; if it is determined that the effective maintenance count of all meter boxes has not reached the preset maintenance count, determine whether the current sampling time point is the last sampling time point of the current reported information; if yes, reselect the earliest batch of reported information that has not yet been processed to update the current reported information; if no, select the next sampling time point to update the current sampling time point.

[0091] The topology generation module 103 is used to generate the branch topology result of the transformer area based on the final table box relationship matrix.

[0092] In an optional embodiment, the topology generation module 103 includes: a noise reduction processing unit 1031 and a topology output unit 1032;

[0093] The noise reduction processing unit 1031 is used to perform noise reduction processing on the final table box relationship matrix to generate a noise-reduced table box relationship matrix.

[0094] The topology output unit 1032 is used to search and access the noise-reduced meter box relationship matrix and output the branch topology results of the station area.

[0095] It should be noted that the embodiments of the apparatus described above correspond to the embodiments of the present invention described above, and can implement any of the methods described above in the present invention. Furthermore, the embodiments of the apparatus described above are merely illustrative. The modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Additionally, in the accompanying drawings of the apparatus embodiments provided by the present invention, the connection relationship between modules indicates that they have a communication connection, which can be specifically implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement this without creative effort.

[0096] Based on the above-described method embodiments of the present invention, a corresponding embodiment of an electronic device is provided.

[0097] An embodiment of the present invention provides an electronic device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the low-voltage substation branch topology identification method based on dynamic weight value optimization as described in any one of the present invention, or the processor executes the computer program to implement the functions of each module in the above-described device embodiments.

[0098] For example, the computer program may be divided into one or more modules, which are stored in the memory and executed by the processor to complete the present invention. The one or more modules may be a series of computer program instruction segments capable of performing specific functions, which describe the execution process of the computer program in the terminal device.

[0099] The terminal device may be a desktop computer, laptop, handheld computer, or cloud server, etc. The terminal device may include, but is not limited to, a processor and a memory.

[0100] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor. The processor is the control center of the terminal device, connecting all parts of the terminal device via various interfaces and lines.

[0101] The memory can be used to store the computer programs and / or modules. The processor implements various functions of the terminal device by running or executing the computer programs and / or modules stored in the memory and by calling data stored in the memory. The memory may mainly include a program storage area and a data storage area. The program storage area may store the operating system, applications required for at least one function, etc.; the data storage area may store data created based on the use of the mobile phone, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, memory, plug-in hard disk, smart media card (SMC), secure digital card (SD card), flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0102] Based on the above method embodiments, the present invention provides corresponding storage medium embodiments;

[0103] Another embodiment of the present invention provides a storage medium including a stored computer program, wherein, when the computer program is running, it controls the device where the storage medium is located to execute any of the above-described low-voltage distribution area branch topology identification methods based on dynamic weight value optimization of the present invention.

[0104] The aforementioned storage medium is a computer-readable storage medium. The computer program includes computer program code, which can be in the form of source code, object code, executable file, or certain intermediate forms. The computer-readable medium can include any entity or device capable of carrying the computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content included in the computer-readable medium can be appropriately added or removed according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electrical carrier signals and telecommunication signals.

[0105] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of those different embodiments or examples.

[0106] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for identifying branch topology in low-voltage distribution areas based on dynamic weight value optimization, characterized in that, include: Obtain the reported information of the selected consecutive batches for the area to be analyzed, as well as the initial meter box relationship matrix; wherein, the reported information of each batch includes the current value and voltage value of all meter boxes collected at a preset sampling frequency; Repeat the table box relationship matrix maintenance operation until the total number of valid maintenance times for all table boxes reaches the preset number of maintenance times, and generate the final table box relationship matrix; Based on the final table box relationship matrix, generate the branch topology results of the station area; The table box relationship matrix maintenance operation includes: Retrieve the current reported information; the initial reported information is the earliest batch of unprocessed reported information. Calculate the current and voltage changes for each meter box at the current sampling time point; If only one meter box has a current change value greater than a preset current threshold, the meter box with the current change value greater than the current threshold is set as the reference meter box, and the remaining meter boxes are set as the target meter boxes. Calculate the voltage threshold based on the voltage change value of the corresponding reference meter box; compare each corresponding target meter box with the voltage threshold. The target meter box with a voltage change value greater than the voltage threshold is designated as the meter box to be updated; the element corresponding to the meter box to be updated in the meter box relationship matrix is ​​updated according to the dynamic weight value, and the effective maintenance count of the baseline meter box is incremented by 1; If it is determined that the effective maintenance count of all boxes has not reached the preset maintenance count, it is determined whether the current sampling time point is the last sampling time point of the current reported information; if so, the earliest batch of reported information that has not yet been processed is selected to update the current reported information; if not, the next sampling time point is selected to update the current sampling time point.

2. The low-voltage distribution area branch topology identification method based on dynamic weight value optimization as described in claim 1, characterized in that, The initial table box relationship matrix is ​​generated in the following way: Obtain the number of meter boxes in the area to be analyzed; Based on the number of meter boxes in the area to be analyzed, a meter box relationship matrix is ​​generated with the number of rows and columns equal to the number of meter boxes. Each row and column in the matrix corresponds to a meter box, which is used to represent the relationship between the meter box and other meter boxes.

3. The low-voltage distribution area branch topology identification method based on dynamic weight value optimization as described in claim 1, characterized in that, The calculation of the current change value and voltage change value of each meter box at the current sampling time point includes: Based on the current reported information, calculate the difference between the current value at the current sampling time point and the current value at the previous sampling time point for each meter box, and obtain the current change value for each meter box. Based on the current reported information, calculate the difference between the voltage value at the current sampling time point and the voltage value at the previous sampling time point for each meter box, and obtain the voltage change value for each meter box.

4. The low-voltage distribution area branch topology identification method based on dynamic weight value optimization as described in claim 1, characterized in that, Dynamic weight values ​​are generated in the following way: Obtain the current effective maintenance count of the baseline gauge box; Calculate the quotient of the current effective maintenance count of the baseline box and the preset continuous batch to generate a dynamic weight value.

5. The low-voltage distribution area branch topology identification method based on dynamic weight value optimization as described in claim 1, characterized in that, The step of generating the substation branch topology result based on the final table box relationship matrix includes: The final table box relationship matrix is ​​denoised to generate a denoised table box relationship matrix. The noise-reduced meter box relationship matrix is ​​searched and accessed to output the branch topology results of the station area.

6. A low-voltage distribution area branch topology identification device based on dynamic weight value optimization, characterized in that, include: Data acquisition module, matrix generation module, and topology generation module; The data acquisition module is used to acquire the reported information of a preset continuous batch of stations to be analyzed, as well as the initial table box relationship matrix. The matrix generation module is used to repeatedly perform the meter box relationship matrix maintenance operation until the total number of valid maintenance times for all meter boxes reaches a preset number of maintenance times, generating the final meter box relationship matrix. The meter box relationship matrix maintenance operation includes: acquiring the current reported information; wherein the initial reported information is the earliest unprocessed batch of reported information; calculating the current change value and voltage change value of each meter box at the current sampling time point; if only one meter box has a current change value greater than a preset current threshold, the meter box with the current change value greater than the current threshold is set as the reference meter box, and the remaining meter boxes are set as target meter boxes; based on the voltage of the corresponding reference meter box... The voltage threshold is calculated based on the change value; each corresponding target meter box is compared with the voltage threshold; the target meter box with a voltage change value greater than the voltage threshold is designated as the meter box to be updated; the element corresponding to the meter box to be updated in the meter box relationship matrix is ​​updated according to the dynamic weight value, and the effective maintenance count of the baseline meter box is incremented by 1; if it is determined that the effective maintenance count of all meter boxes has not reached the preset maintenance count, it is determined whether the current sampling time point is the last sampling time point of the current reported information; if so, the earliest batch of reported information that has not yet been processed is reselected to update the current reported information; if not, the next sampling time point is selected to update the current sampling time point. The topology generation module is used to generate the branch topology results of the transformer area based on the final table box relationship matrix.

7. The low-voltage distribution area branch topology identification device based on dynamic weight value optimization as described in claim 6, characterized in that, The matrix maintenance module, which calculates the current and voltage changes of each meter box at the current sampling time point, includes: Based on the current reported information, calculate the difference between the current value at the current sampling time point and the current value at the previous sampling time point for each meter box, and obtain the current change value for each meter box. Based on the current reported information, calculate the difference between the voltage value at the current sampling time point and the voltage value at the previous sampling time point for each meter box, and obtain the voltage change value for each meter box.

8. The low-voltage distribution area branch topology identification device based on dynamic weight value optimization as described in claim 6, characterized in that, The topology generation module includes: a noise reduction processing unit and a topology output unit; The noise reduction processing unit is used to perform noise reduction processing on the final table box relationship matrix to generate a noise-reduced table box relationship matrix. The topology output unit is used to search and access the noise-reduced meter box relationship matrix and output the branch topology results of the station area.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, it can implement the low-voltage substation branch topology identification method based on dynamic weight value optimization as described in any one of claims 1 to 5.

10. A storage medium having a computer program stored thereon, characterized in that: When executed by a processor, the computer program can implement the low-voltage substation branch topology identification method based on dynamic weight value optimization as described in any one of claims 1 to 5.

Images