A low-voltage area topology identification system and algorithm based on current data

By using a low-voltage transformer area topology identification system and algorithm based on current data, and leveraging power line carrier communication and electricity consumption information collection, the system automatically identifies the network topology of low-voltage transformer areas, solving the problem of unclear transformer connections in existing technologies and achieving efficient line loss analysis and fault location.

CN114784971BActive Publication Date: 2026-03-31QINGDAO QISUPERFINE INFORMATION TECH CO LTD
View PDF 1 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-05-13
Publication Date
2026-03-31

AI Technical Summary

Technical Problem

Existing technologies lack clarity regarding the connection relationships between household transformers in low-voltage distribution areas, resulting in the inability to provide accurate line loss data and perform hierarchical line loss analysis. Furthermore, existing topology identification methods suffer from issues such as large construction workload, inability to identify branch hierarchy relationships, or the need for updates.

Method used

The system and algorithm for identifying the topology of low-voltage distribution areas based on current data utilize power line carrier communication and electricity consumption information collection to calculate the current value data of equipment in the distribution area in real time, automatically identify the corresponding relationship between users and transformers, including the equipment connections at the user side, meter box layer, branch layer and transformer layer, and use the intelligent fusion terminal of the distribution area for topology identification.

Benefits of technology

It enables real-time identification of network topology relationships in low-voltage distribution areas, improving the accuracy and efficiency of identification, saving manpower and material resources, and supporting refined line loss analysis and automatic fault location.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN114784971B_ABST
    Figure CN114784971B_ABST
Patent Text Reader

Abstract

The application provides a low-voltage area topology identification system and algorithm based on current data, and the application comprises the following steps: obtaining profile information of low-voltage area equipment and power consumption information of each interval time point; final node judgment; current value data addition and sorting of each node and current value data addition possible value calculation; judging whether the current value data of each node except the known node is equal to the addition current value data, if yes, adding the sub-node in the known parent node equipment list and deleting from the final node equipment list; if not, adding the minimum node except the known node to the final node equipment list; judging whether all nodes are judged completely. Through the low-voltage line power line carrier communication and the current value data of the power consumption information collection distribution area user, the network topology relationship of the low-voltage distribution area is obtained in real time based on the addition relationship of the collected equipment current data, the household transformer corresponding relationship automatic identification is completed, and the real-time performance is strong.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] This invention relates to the field of low-voltage power distribution management technology, and in particular to a low-voltage distribution area topology identification system and algorithm based on current data. Background Technology

[0002] For a long time, the connection relationship between households and transformers in power distribution rooms and low-voltage distribution areas has been unclear, especially in newly built areas. Some topologies cannot be directly obtained, requiring manual investigation, which is a huge workload and a waste of human and material resources. The lack of a "household-transformer" relationship makes it impossible to provide an accurate data source for the line loss of the distribution area; the lack of a "household-line" relationship makes it impossible to perform hierarchical line loss analysis and calculation. Currently, advanced applications such as lean line loss management, fault location, and three-phase imbalance analysis urgently require low-voltage distribution area topology identification to support intelligent monitoring of distribution areas, automatic fault reporting, and fault location and analysis based on the distribution area topology. This will enable refined line loss analysis, improve power quality, power supply reliability, and automation levels in distribution areas.

[0003] Currently, the methods for identifying the electrical network topology of a distribution transformer area include:

[0004] (1) Analysis method based on electricity consumption information: This method utilizes current low-voltage power line carrier communication technology to collect electricity consumption information from distribution transformer areas. It then uses voltage data similarity or correlation analysis to automatically analyze the connection relationship between the power supply and electrical equipment in the distribution transformer area. However, this method is less effective at identifying the topology within meter boxes.

[0005] (2) Current injection method: On low-voltage distribution lines (or busbars), a small current signal is injected into the power frequency signal, and each level captures the current signal layer by layer to achieve topology identification. The current injection method requires replacing the meter carrier module, which involves a large amount of construction work.

[0006] (3) Power Outage and Resumption Analysis Method: This method involves the orderly power outage and restoration of the main branches of low-voltage distribution areas. The gateway reads the power outage and restoration data of users and compares it with the power outage and restoration information of the main branches to achieve a low-cost automatic identification scheme for the "customer-line-transformer" topology. However, the power outage and restoration analysis method cannot effectively identify the hierarchical relationship within the branches, and when the topology changes, the files need to be reissued and new power outages and restorations need to be available to update the topology.

[0007] The information disclosed in this background section is intended only to enhance the understanding of the overall background of the present invention and should not be construed as an admission or in any way implying that the information constitutes prior art known to those skilled in the art. Summary of the Invention

[0008] The purpose of this invention is to provide a low-voltage distribution area topology identification system and algorithm based on current data, which calculates the network topology relationship of low-voltage distribution areas in real time through current data, and can automatically complete topology identification after the topology changes.

[0009] To solve the above-mentioned technical problems, the technical solution provided by the present invention is as follows:

[0010] This invention provides a low-voltage distribution area topology identification system based on current data, comprising: a user side, a meter box layer, a branch layer, and a transformer layer; the user side includes at least one of the following: several charging piles, several household appliances of several users, and several photovoltaic devices; the meter box layer includes at least one set of meter box equipment; the branch layer includes at least one set of branch box equipment, and the charging piles, household appliances, or photovoltaic devices of the users on the user side are connected to the branch box equipment through the meter box equipment; the transformer layer includes a distribution area smart convergence terminal, a distribution area main meter, a frame circuit breaker, and a transformer, the distribution area smart convergence terminal is connected to the transformer through the frame circuit breaker, and the distribution area smart convergence terminal is also connected to the distribution area main meter.

[0011] Furthermore, the meter box equipment includes miniature circuit breakers, electricity meters, and measuring switches. The miniature circuit breakers are connected to the measuring switches via the electricity meters; the miniature circuit breakers are connected to charging piles, household appliances, or photovoltaic equipment of electricity users; and the measuring switches are connected to the branch box equipment.

[0012] Furthermore, the branch box equipment includes a branch circuit breaker and a line terminal equipment, with the branch circuit breaker connected to the line terminal equipment; the measuring switch is connected to the intelligent integrated terminal of the distribution area through the branch circuit breaker, and the intelligent integrated terminal of the distribution area adopts an energy controller.

[0013] Furthermore, the smart converged terminal in the distribution area is also connected to a marketing system.

[0014] This invention also provides a low-voltage distribution area topology identification algorithm based on current data, characterized by the following steps:

[0015] Step S1: Obtain the file information of the low-voltage distribution area equipment and the power consumption information of the low-voltage distribution area equipment at each interval within the set time period from the intelligent converged terminal of the distribution area;

[0016] Step S2: Final node judgment: Add the two devices with the smallest current values ​​measured at all time intervals in step S1 to the final node device list.

[0017] Step S3: Summarize and sort the current value data of each node and calculate the possible sum of the current value data: That is, the intelligent fusion terminal of the distribution area combines and adds the current value data of each device in the list of last-level node devices to calculate and list all possible results;

[0018] Step S4: Determine if the current value data of each node other than the known node is equal to the sum of the current values. If they are equal, add the child node to the known parent node device list and delete it from the last-level node device list. If they are not equal, add the smallest node other than the known node to the last-level node device list: that is, compare the current value data measured by the other devices in the file in ascending order with the various possible results obtained in step S3 to determine if a parent-child relationship between the device nodes can be formed. If a parent-child relationship is formed, delete the child device in the parent-child relationship from the last-level node device list and add it to the known parent node device list. At the same time, add the parent device in the parent-child relationship to the last-level node device list. If no parent-child relationship exists, add the device with the smallest sum of the measured current values ​​at all times among the other devices to the last-level node device list.

[0019] Step S5: Determine if all nodes have been determined: If the device list of the last-level node changes, recalculate all possible results of the sum of the measured current values ​​of each device at all times in the device list of the last-level node, and then repeat step S4 until the sum of the number of devices in the device list of the last-level node and the known number of devices in the device list of the parent node equals the total number of devices in the file.

[0020] Furthermore, the feature is that step S1 specifically includes:

[0021] Step S101: Establish a power line carrier communication network between each device in the low-voltage distribution transformer area and the intelligent integrated terminal of the transformer area. Communication nodes that can communicate with each other belong to the same transformer.

[0022] Step S102: Read the current value data of each device in the distribution area through the intelligent converged terminal of the distribution area, and obtain the current value data of each device at 15-minute intervals within the set time. Each device has a number of valid data points.

[0023] Furthermore, step S2 specifically includes:

[0024] Step S201: Preprocess the current value data of each device collected. If a device has not collected any data, the data is considered invalid and the topology will not be calculated.

[0025] Step S202: If a device loses data at a certain point in time, then the current value data of all devices at that point in time is considered invalid, and the current value data of all devices at that point in time is deleted; if the number of valid data points is less than a certain set value after deletion, then the data is considered invalid.

[0026] Furthermore, step S3 specifically includes:

[0027] Step S301: Based on the current value data in step S202, calculate the sum of the measured current values ​​of all devices at each time point, and sort them from smallest to largest;

[0028] Step S302: Combine the devices in the list of devices in the final node, sum the total current values ​​of each combination at each time point, and obtain various possible results.

[0029] Furthermore, step S4 specifically includes:

[0030] Step S401: Compare the total current values ​​of all other devices at all times with the various possible results obtained in step S302 to determine whether there are any equal values.

[0031] Step S402: If there is an equal case in step S401, then further determine whether the sum of the measured current values ​​of each device in each time point combination is equal to the measured current value of the current device. If they are equal, then the device and the device in the combination in the final node device list form a parent-child device relationship. Set the parent node of the device in the combination to the device, move the child device in the combination to the known device list, and add the parent device to the final node device list.

[0032] Step S403: If the total current value of all other devices at each time moment is not equal to the combined result of the measured current values ​​of each device in the final node device list, then add the device with the smallest total current at each time moment among the other devices to the final node device list.

[0033] Furthermore, step S5 specifically includes:

[0034] Step S501: Determine whether the sum of the number of devices in the device list of the last-level node and the known device list is equal to the total number of devices in the area. If they are not equal, return to step S302 and recalculate the current combination value of each device.

[0035] Step S502: If they are equal, output the parent-child node relationship of all devices in the entire substation area to complete this topology identification process.

[0036] The beneficial effects achieved by the present invention, in combination with the above technical solutions, are as follows:

[0037] This method provides a low-voltage distribution area topology identification system and algorithm based on current data. By utilizing power line carrier communication on low-voltage lines and collecting user current value data of distribution area through electricity consumption information, the network topology relationship of low-voltage distribution area is obtained in real time based on the summation relationship of the collected equipment current data, and the identification of the corresponding relationship between users and transformers is completed. It has strong real-time performance, saves manpower, and has a high accuracy rate. Attached Figure Description

[0038] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0039] Figure 1 This is a system diagram provided in Embodiment 1 of the present invention;

[0040] Figure 2 The flowchart provided is for Embodiment 2 of the present invention. Detailed Implementation

[0041] The objectives, technical solutions, and advantages of the present invention will now be clearly and completely described in conjunction with the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0042] In the description of this invention, it should be noted that terms such as "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing this invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention. Furthermore, terms such as "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0043] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0044] Example 1:

[0045] like Figure 1As shown, this embodiment provides a low-voltage distribution area topology identification system based on current data, including: a user side, a meter box layer, a branch layer, and a transformer layer; the user side includes at least one of the following: several charging piles, several household appliances of several users, and several photovoltaic devices; the meter box layer includes at least one set of meter box equipment, which includes a miniature circuit breaker, an electricity meter, and a measuring switch. The miniature circuit breaker is connected to the measuring switch through the electricity meter, and the user-side equipment is connected to the miniature circuit breaker, that is, the charging piles, household appliances of users, and photovoltaic devices are connected to the miniature circuit breaker. The miniature circuit breaker can be a Bluetooth miniature circuit breaker, and the electricity meter can be a Bluetooth electricity meter; the branch layer... It includes at least one set of branch box equipment. The user-side charging piles, household appliances, or photovoltaic equipment of the electricity user are connected to the branch box equipment through the meter box equipment. The branch box equipment includes a branch circuit breaker and a line terminal equipment. The branch circuit breaker is connected to the line terminal equipment, and the measuring switch is connected to the branch circuit breaker. The transformer layer includes a transformer area smart converged terminal, a transformer area main meter, a frame circuit breaker, and a transformer. The transformer area smart converged terminal is connected to the transformer through the frame circuit breaker. The transformer area smart converged terminal is also connected to the transformer area main meter. The measuring switch is connected to the transformer area smart converged terminal through the branch circuit breaker. The transformer area smart converged terminal adopts an energy controller.

[0046] Preferably, the smart converged terminal in the distribution area is also connected to a marketing system.

[0047] Taking household electricity as an example, typically, each household has one electricity meter, and a meter box is set up for 3-4 households on the first floor; a branch box is set up for households on the 10th floor; an energy controller is set up for 3 buildings; and a transformer room is set up in a community and a transformer and a main meter for the distribution area are installed. The transformer converts 3500V to 220V.

[0048] Example 2:

[0049] This invention also provides a low-voltage distribution area topology identification algorithm based on current data, comprising the following steps:

[0050] Step S1: Obtain the file information of the low-voltage distribution area equipment and the power consumption information of the low-voltage distribution area equipment at each interval within the set time period from the intelligent converged terminal of the distribution area via power line carrier communication;

[0051] Step S1 specifically includes:

[0052] Step S101: Establish a power line carrier communication network between each device in the low-voltage distribution transformer area and the intelligent integrated terminal of the transformer area. Communication nodes that can communicate with each other belong to the same transformer.

[0053] Step S102: Read the current value data of each device in the distribution area through the intelligent converged terminal of the distribution area, and obtain the current value data of each device at 15-minute intervals within the set time. Each device has a number of valid data points. The set time can be 3 days, 4 days or 5 days, etc., and the data is obtained once every 15 minutes. Taking 4 days as an example, the data is obtained once every 15 minutes. Each device in the system has 96 data points in 24 hours a day, and there are a total of 384 data points in 4 days.

[0054] Step S2: Final node judgment: Add the two devices with the smallest current values ​​measured at all time intervals in step S1 to the final node device list.

[0055] Step S2 specifically includes:

[0056] Step S201: Preprocess the current value data of each device collected. If a device has not collected any data, the data is considered invalid and the topology will not be calculated.

[0057] Step S202: If a device loses data at a certain point in time, then the current value data of all devices at that point in time is considered invalid, and the current value data of all devices at that point in time is deleted; if after deletion, the number of valid data points is less than a certain set value (this set value can be set to 300 valid data points for 4 days), then the data is considered invalid.

[0058] The devices with the lowest current values ​​at each time point are different every 4 days. The two devices with the lowest current values ​​at each time point are added to the list of devices at the last level node.

[0059] Step S3: Summarize and sort the current value data of each node and calculate the possible sum of the current value data: The intelligent fusion terminal of the distribution area combines and adds the current value data of each device in the list of devices in the last-level node, and lists all possible results, that is, the current value data of any at least two devices in the list of devices in the last-level node are added together.

[0060] Step S3 specifically includes:

[0061] Step S301: Based on the current value data in step S202, calculate the sum of the measured current values ​​of all devices at each time point, and sort them from smallest to largest;

[0062] Step S302: Combine the devices in the list of devices in the final node, sum the current values ​​of each combination, and obtain various possible results.

[0063] Step S4: Determine if the current value data of each node other than the known node is equal to the sum of the current values. If they are equal, add the child node to the known parent node device list and delete it from the last-level node device list. If they are not equal, add the smallest node other than the known node to the last-level node device list: that is, compare the current value data measured by the other devices in the file in ascending order with the various possible results obtained in step S3 to determine if a parent-child relationship between the device nodes can be formed. If a parent-child relationship is formed, delete the child device in the parent-child relationship from the last-level node device list and add it to the known parent node device list. At the same time, add the parent device in the parent-child relationship to the last-level node device list. If no parent-child relationship exists, add the device with the smallest sum of the measured current values ​​at all times among the other devices to the last-level node device list.

[0064] Step S4 specifically includes:

[0065] Step S401: Compare the total current values ​​of the remaining devices at each time with the various possible results obtained in step S302 to determine whether there are any equal values.

[0066] Step S402: If there is an equal case in step S401, then further determine whether the sum of the measured current values ​​of each device in each time point combination is equal to the measured current value of the current device. If they are equal, then it is considered that the device and the device in the combination in the final node device list form a parent-child device relationship. Set the parent node of the device in the combination to the device, move the child device in the combination to the known device list, and add the parent device to the final node device list.

[0067] Step S403: If the total current value of all other devices at each time moment is not equal to the combination result of the measured current values ​​of each device in the final node device list, then add the device with the smallest sum of current at each time moment among the other devices to the final node device list.

[0068] Step S5: Determine if all nodes have been determined: If the device list of the last-level node changes, recalculate all possible results of the sum of the measured current values ​​of each device at all times in the device list of the last-level node, and then repeat step S4 until the sum of the number of devices in the device list of the last-level node and the known number of devices in the device list of the parent node equals the total number of devices in the file.

[0069] Step S5 specifically includes:

[0070] Step S501: Determine whether the sum of the number of devices in the device list of the last-level node and the known device list is equal to the total number of devices in the area. If they are not equal, return to step S302 and recalculate the current combination value of each device.

[0071] Step S502: If they are equal, output the parent-child node relationship of all devices in the entire substation area to complete this topology identification process.

[0072] This invention provides a low-voltage distribution transformer area topology identification system and algorithm based on current data. By utilizing low-voltage power line carrier communication and collecting user current value data of distribution transformer areas through electricity consumption information, the network topology relationship of low-voltage distribution transformer areas is obtained in real time based on the summation relationship of the collected equipment current data, and the user transformer correspondence relationship is automatically identified. It has strong real-time performance, saves manpower and material resources, and has a high accuracy rate.

[0073] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A low-voltage transformer area topology identification algorithm based on current data, characterized by: The algorithm is based on a low-voltage area topology identification system based on current data, which comprises a user side, a meter box layer, a branch layer and a transformer station layer; the user side comprises at least one of the following: a plurality of charging piles, a plurality of household appliances of electricity users, and a plurality of photovoltaic devices; the meter box layer comprises at least one group of meter box devices; the branch layer comprises at least one group of branch box devices, and the charging piles, household appliances of electricity users or photovoltaic devices of the user side are connected with the meter box devices and the branch box devices; the transformer station layer comprises a smart terminal of a transformer station, a total meter of the transformer station, a frame circuit breaker and a transformer, the smart terminal of the transformer station is connected with the frame circuit breaker and the transformer, and the smart terminal of the transformer station is also connected with the total meter of the transformer station; the meter box device comprises a miniature circuit breaker, a meter and a measurement switch, the miniature circuit breaker is connected with the meter and the measurement switch; the miniature circuit breaker is connected with the charging pile, the household appliance of the electricity user or the photovoltaic device; the measurement switch is connected with the branch box device; the branch box device comprises a branch circuit breaker and a line terminal device, and the branch circuit breaker is connected with the line terminal device; the measurement switch is connected with the smart terminal of the transformer station through the branch circuit breaker, and the smart terminal of the transformer station adopts an energy controller; the smart terminal of the transformer station is also connected with a marketing system; The method comprises the following steps: Step S1: obtaining the profile information of low-voltage area devices and the power consumption information of each interval time point of the low-voltage area devices within a setting time from the smart terminal of the transformer station; Step S2: final node judgment, that is, adding the two devices with the smallest current values measured at all interval time points in step S1 to the final node device list; Step S3: adding and sorting of current value data of each node and calculation of possible values of the added current value data, that is, the smart terminal of the transformer station combines and adds the current value data of each device in the final node device list to list various possible results; Step S4: judging whether the current value data of each node except the known node is equal to the added current value data, if yes, adding the child node in the known parent node device list and deleting it from the final node device list, if not, adding the smallest node except the known node to the final node device list, that is, comparing the current value data measured by the remaining devices in the profile with the various possible results obtained in step S3 in the order from small to large to judge whether a device node parent-child relationship can be formed, if yes, deleting the child device in the device node parent-child relationship from the final node device list and adding it to the known parent node device list, and adding the parent device in the device node parent-child relationship to the final node device list, if not, adding the device with the smallest added current value of all interval time points of the obtained remaining devices to the final node device list; Step S5: judging whether all nodes are judged, that is, if the final node device list changes, calculating the various possible results of the added current value of all interval time points of each device in the final node device list, and then repeating step S4 until the sum of the number of devices in the final node device list and the known parent node device list is equal to the number of all devices in the profile. 2.The low-voltage transformer area topology identification algorithm based on current data according to claim 1, characterized in that: Step S1 specifically comprises: Step S101: Establishing a power carrier communication network between each device of a low-voltage distribution area and an intelligent fusion terminal of the area, and the communication nodes capable of communicating belong to the same transformer; Step S102: Copying the current value data of each device in the area through the intelligent fusion terminal of the area, and obtaining the current value data of each device at intervals of 15 minutes within the setting time of each device. Each device has a plurality of valid data points.

3. The low-voltage area topology identification algorithm based on current data according to claim 2, characterized in that: Step S2 specifically comprises: Step S201: Preprocessing the collected current value data of each device, and if there is a device that has not collected data all the time, the data is considered invalid and the topology is not calculated; Step S202: If a device loses data at a certain time point, the current value data of all devices at the time point is considered invalid, and all current value data of all devices at the time point is deleted; if the number of valid data points is less than a certain set value after deletion, the data is considered invalid.

4. The low-voltage area topology identification algorithm based on current data according to claim 3, characterized in that: Step S3 specifically comprises: Step S301: On the basis of the current value data in step S202, the sum of the measured current value data of all devices at each time point is calculated and sorted from small to large; Step S302: Combining the devices in the terminal device list, calculating the sum of the total current value data of each device at each time point for each combination, and obtaining various possible results.

5. The low-voltage area topology identification algorithm based on current data according to claim 4, characterized in that: Step S4 specifically comprises: Step S401: Comparing the total current value of each device at each time point with the various possible results obtained in step S302 to determine whether there is an equal condition; Step S402: If there is an equal condition in step S401, further determine whether the sum of the measured current value of each device in the combination at each time point is equal to the current value of the device, if equal, the device and the device in the combination in the terminal device list constitute a parent-child device relationship, the parent node of the device in the combination is set to the device, the child device in the combination is moved to the known device list, and the parent device is added to the terminal device list; Step S403: If the total current value of each remaining device is not equal to the combination result of the total current value of each device in the terminal device list, the device with the smallest sum of current values at each time point among the remaining devices is added to the terminal device list.

6. The low-voltage area topology identification algorithm based on current data according to claim 5, characterized in that: Step S5 specifically comprises: Step S501: Determine whether the sum of the number of devices in the terminal device list and the known device list is equal to the total number of devices in the area, if not, return to continue executing step S302 to recalculate the current combination value of the terminal device; Step S502: If equal, output the parent-child node relationship of all devices in the area, and complete the topology identification process.

Citation Information

Patent Citations

  • Transformer area intelligent fusion terminal system and application method thereof

    CN114188941A