Line loss calculation and electricity stealing identification method and system based on intelligent fusion terminal topology

Abstract

This invention relates to the field of intelligent fusion terminal technology, and provides a method and system for line loss calculation and electricity theft identification based on intelligent fusion terminal topology. The method includes the following steps: the intelligent fusion terminal issues an injection command, downstream devices activate their internal topology injection modules to inject characteristic current signals into branches, and the topology identification module identifies and collects echo signals to generate a transformer area topology map; electricity consumption data from measuring switches and meters are collected; line loss-related parameters are calculated, including single branch line loss, transformer area bus loss, and transformer area bus loss rate; anomaly judgment is made based on the transformer area bus loss rate, and electricity theft identification is triggered in the case of anomaly; line loss deviation rate and node electricity consumption data consistency are calculated to determine whether electricity theft occurs; and electricity theft nodes are located based on the transformer area topology map. This invention can calculate the line loss of each branch and transformer area in real time, accurately locate branches with abnormal line loss, and quickly identify electricity theft and locate electricity theft nodes through multi-dimensional algorithm analysis.

Description

Technical Field

[0001] This invention belongs to the field of intelligent converged terminal technology, and in particular relates to a method and system for line loss calculation and electricity theft identification based on intelligent converged terminal topology. Background Technology

[0002] Currently, line loss rate is a core indicator for measuring the power supply efficiency and management level of low-voltage distribution transformer areas. Electricity theft is one of the main reasons for abnormally high line losses, waste of power resources, and economic losses for power supply companies. Current line loss management and anti-theft efforts in low-voltage transformer areas generally suffer from problems such as fuzzy topology sensing, lagging line loss calculation, inefficient theft detection, and insufficient coordination among end-side devices. Existing technologies have failed to deeply integrate topology sensing hardware with line loss calculation and theft identification functions, and have not fully utilized the sensing advantages of each end-side device, thus failing to meet the actual needs of refined line loss management and anti-theft work in transformer areas.

[0003] To solve the above-mentioned technical problems, this invention designs a method and system for line loss calculation and electricity theft identification based on intelligent fusion terminal topology. Summary of the Invention

[0004] To address the above problems, this invention provides the following technical solution: a method for line loss calculation and electricity theft identification based on intelligent fusion terminal topology, comprising the following steps: S1, the intelligent fusion terminal issues an injection command, the downstream device starts the internal topology injection module to inject characteristic current signals into the branch, the topology identification module identifies and collects the echo signals, and generates a transformer area topology map; S2, based on the transformer area topology map, collect and measure the power consumption data of switches and meters; S3 calculates line loss related parameters based on electricity consumption data. Line loss related parameters include single branch line loss, transformer area bus loss and transformer area bus loss rate. Anomaly judgment is made based on the transformer area bus loss rate. If an anomaly is judged, electricity theft identification is triggered. S4, calculate the line loss deviation rate and the consistency of node power consumption data to determine whether there is any electricity theft; S5, locate the electricity theft node based on the transformer area topology map.

[0005] Based on the above technical solution, in step S2, the electricity consumption data of the measuring switch and the electricity meter include daily electricity consumption.

[0006] Based on the above technical solution, step S3 includes the following steps: S3.1, Calculate the line loss of a single branch based on the power consumption data from the measuring switches and meters of each branch:

[0007] in, The daily electricity consumption is collected by the measuring switch at the branch power supply end. This is the cumulative daily electricity consumption of all meters under this measuring switch or the next level measuring switch. S3.2, Calculate the total line loss of the transformer area based on the single-branch line loss calculated for each branch:

[0008] Where i is the branch number and r is the total number of branches in the transformer area; S3.3, Calculate the bus loss rate of the transformer area based on the bus loss of the transformer area:

[0009] in, The total daily power consumption of the main measuring switch at the top of the transformer substation; S3.4, Set the line loss rate threshold The system compares the bus loss rate of the transformer substation with the line loss rate threshold. If the bus loss rate of the transformer substation is greater than the line loss rate threshold, the system will trigger electricity theft detection.

[0010] Furthermore, the line loss rate threshold is set in a comprehensive and differentiated manner based on the line laying method, power supply area, line age, load type, and three-phase balance.

[0011] Further, step S4 includes the following steps: S4.1, Calculate the line loss rate deviation based on the line loss rate and line loss rate threshold of the transformer area:

[0012] S4.2, Calculate the consistency of node electricity consumption data based on real-time electricity consumption data and historical electricity consumption data for the same period:

[0013] in, For real-time power consumption data of nodes, This refers to historical electricity consumption data for the same period at the node. S4.3 If the deviation of the line loss rate is greater than zero, it is determined that the line loss of the corresponding branch is abnormal. If the consistency of the node power consumption data is K < K1 or K > K2, it is determined that the power consumption data of the corresponding branch is abnormal and there is electricity theft.

[0014] Furthermore, in step S4.3, K1=0.3 and K2=3.

[0015] Based on the above technical solution, step S5 includes the following steps: S5.1 Based on the transformer area topology map, traverse the abnormal branches layer by layer from top to bottom for single branch line loss, and filter out abnormal branches whose single branch line loss is greater than the preset line loss threshold of the branch. S5.2, trace down the topology hierarchy of the transformer area topology map along the abnormal branch to the end meter node, combine the consistency coefficient of electricity consumption data of each node to determine the abnormal electricity consumption situation, accurately locate the user node suspected of electricity theft, and output the corresponding transformer area topology location information.

[0016] Furthermore, the topology hierarchy in step S5.2 includes, in sequence, the main measurement switch, the next-level measurement switch, and the meter.

[0017] Secondly, the present invention provides a line loss calculation and electricity theft detection system based on a smart fusion terminal topology, comprising a smart fusion terminal, a measuring switch, and an electricity meter. The smart fusion terminal includes a topology identification module, a data acquisition module, a line loss calculation module, and an electricity theft detection module. The measuring switch includes a topology injection module and a topology identification module, and the electricity meter includes a topology injection module. The topology injection module is used to inject characteristic current signals into the branch; The topology identification module is used to identify the acquired echo signals; The data acquisition module is used to collect electricity consumption data from the measuring switch and the electricity meter; The line loss calculation module is used to calculate line loss related parameters based on electricity consumption data. The line loss related parameters include single branch line loss, transformer area bus loss and transformer area bus loss rate. The module makes anomaly judgment based on the transformer area bus loss rate. If an anomaly is judged, electricity theft identification is triggered. The electricity theft detection module calculates the line loss deviation rate and the consistency of node power consumption data to determine whether electricity theft has occurred, and locates the electricity theft node based on the transformer area topology map.

[0018] Thirdly, the present invention provides a line loss calculation and electricity theft identification system based on intelligent converged terminal topology, including a processor and a memory storing program instructions, wherein the processor is configured to execute the line loss calculation and electricity theft identification method based on intelligent converged terminal topology as described in any of the above embodiments when running the program instructions.

[0019] Compared with related technologies, the beneficial effects of the present invention are as follows: 1. This invention relies on the topology injection module, the topology recognition module, and the topology naming function of the intelligent fusion terminal to achieve accurate perception and dynamic updating of the transformer area topology, providing reliable support for the core algorithm; 2. It can calculate the line loss of the transformer area and the line loss of each branch in real time, accurately locate the branch with abnormal line loss, and solve the problems of lagging and large error in traditional line loss calculation. The line loss calculation is efficient and accurate. 3. Through multi-dimensional algorithm analysis, we can quickly identify electricity theft and locate the theft points, reducing investigation costs and minimizing the waste of electricity resources. Attached Figure Description

[0020] 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 one embodiment of the present invention. For those skilled in the art, other embodiments can be derived from the provided drawings without creative effort.

[0021] Figure 1 This is a flowchart of the line loss calculation and electricity theft identification method based on intelligent fusion terminal topology provided by the present invention; Figure 2 This is a schematic diagram of the transformer substation structure provided by the present invention; Figure 3 This is a schematic diagram of the topology injection module provided by the present invention; Figure 4 This is a schematic diagram of the topology identification module provided by the present invention; Figure 5 This is a complete flowchart of the line loss calculation and electricity theft identification method based on intelligent fusion terminal topology provided by the present invention. Detailed Implementation

[0022] The present invention will be further described below with reference to the accompanying drawings and examples: Embodiments of the present invention are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and should not be construed as limiting the present invention.

[0023] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "joining" 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 direct connection or an indirect connection through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0024] In the description of this invention, it should be understood that the terms "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and 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.

[0025] Combination Figure 1As shown, this disclosure provides a method for line loss calculation and electricity theft detection based on intelligent fusion terminal topology, including the following steps: S1, the intelligent fusion terminal issues an injection command, the downstream device starts the internal topology injection module to inject characteristic current signals into the branch, the topology identification module identifies and collects the echo signals, and generates a transformer area topology map; Specifically, such as Figure 2 As shown, the transformer substation structure sequentially includes an intelligent fusion terminal, a measuring switch, and an electricity meter. The topology injection module is integrated into the electricity meter and the measuring switch, capable of generating unique characteristic signals and injecting them into the lines, providing a data source for topology construction and line loss calculation. The topology identification module is integrated into the intelligent fusion terminal and the measuring switch. The intelligent fusion terminal uses the topology identification module to match topology point names with signals, drawing an accurate topology map. The topology injection module is as follows: Figure 3 As shown, the topology identification module circuit is as follows: Figure 4 As shown.

[0026] The topology injection module is integrated into low-voltage power distribution terminal equipment such as smart meters and measuring switches. It can receive and identify device control signals, autonomously generate its own high-frequency characteristic signals, and stably couple and inject them into the power distribution lines. Through the full-domain propagation and hierarchical detection and sensing of this signal, it accurately reflects the actual connection level and attribution relationship of the lines, providing reliable and effective underlying data support for functions such as automatic topology construction of distribution substations, calibration of household transformer relationships, and lean line loss analysis and calculation.

[0027] The topology identification module is deployed on monitoring equipment (intelligent fusion terminals, measurement switches) at all levels within the distribution transformer area. Employing a roll call mechanism, it sequentially sends signal injection commands to downstream equipment daily. After the commands are sent, it collects electrical characteristic signals of the lines in real time, filtering, capturing, analyzing, and logically judging the specific characteristic signals injected downstream. Based on signal transmission paths, attenuation characteristics, and timing relationships, it automatically determines equipment hierarchy, branch connections, and the correspondence between customer transformers, efficiently completing the topology restoration and verification of the transformer area. This provides core identification basis and data support for distribution network topology modeling and precise line loss calculation.

[0028] S2, based on the transformer area topology map, collect and measure the power consumption data of switches and meters; In step S2, the electricity consumption data of the measuring switch and the meter includes daily electricity consumption. Specifically, the daily electricity consumption is calculated using the positive active energy of the measuring switch and the meter. For example, yesterday's daily electricity consumption = positive active energy value at midnight today - positive active energy value at midnight yesterday. This embodiment of the disclosure takes daily electricity consumption as an example. Depending on the user's actual needs, different time ranges can also be selected for electricity consumption calculation, such as monthly electricity consumption, hourly electricity consumption, or 15-minute electricity consumption.

[0029] S3 calculates line loss related parameters based on electricity consumption data. Line loss related parameters include single branch line loss, transformer area bus loss and transformer area bus loss rate. Anomaly judgment is made based on the transformer area bus loss rate. If an anomaly is judged, electricity theft identification is triggered. Step S3 includes the following steps: S3.1, Calculate the line loss of a single branch based on the power consumption data from the measuring switches and meters of each branch:

[0030] in, The daily electricity consumption is collected by the measuring switch at the branch power supply end. This is the cumulative daily electricity consumption of all meters under this measuring switch or the next level measuring switch; the single branch line loss of all branches in the transformer area is calculated in sequence and stored in the transformer area line loss database for the calculation of the total line loss of the transformer area, and also to facilitate subsequent anomaly tracing and analysis.

[0031] S3.2, Calculate the total line loss of the transformer area based on the single-branch line loss calculated for each branch:

[0032] Where i is the branch number and r is the total number of branches in the transformer area; by summing up the single branch line losses of all branches, the total bus line loss of the entire transformer area can be obtained. S3.3, Calculate the bus loss rate of the transformer area based on the bus loss of the transformer area:

[0033] in, The total daily power consumption of the main measuring switch at the top of the transformer substation; S3.4, Set the line loss rate threshold The system compares the bus loss rate of the transformer substation with the line loss rate threshold. If the bus loss rate of the transformer substation is greater than the line loss rate threshold, it triggers electricity theft detection. If the bus loss rate of the transformer substation is less than or equal to the line loss rate threshold, it performs continuous monitoring.

[0034] The set line loss rate thresholds do not adopt a uniform fixed standard, but are based on industry-standard specifications. The thresholds are configured differently based on the line laying method, power supply area, line age, load type, and three-phase balance, and are dynamically adjusted with reference to historical normal line loss data for the transformer area, effectively reducing false alarms and anomaly detection. For example, the typical thresholds are: 3%–5% for pure cable transformer areas in urban areas; 5%–8% for mixed urban and rural areas and short overhead transformer areas; and 8%–12% for long-line and old overhead transformer areas in rural areas.

[0035] S4, calculate the line loss deviation rate and the consistency of node power consumption data to determine whether there is any electricity theft; like Figure 5As shown, step S4 includes the following steps: S4.1, Calculate the line loss rate deviation based on the line loss rate and line loss rate threshold of the transformer area:

[0036] Wherein, the line loss rate deviation is the difference between the actual line loss rate and the preset reasonable line loss rate. The actual line loss rate is the bus line loss rate of the transformer area calculated in step S3.3, and the preset reasonable line loss rate is the line loss rate threshold set in step S3.4. S4.2, Calculate the consistency of node electricity consumption data based on real-time electricity consumption data and historical electricity consumption data for the same period:

[0037] Where K is the consistency coefficient of node power consumption data. For real-time power consumption data of nodes, This refers to the historical electricity consumption data of the node during the same period; among them, the real-time electricity consumption data and the historical electricity consumption data refer to the real-time daily electricity consumption and the historical daily electricity consumption during the same period.

[0038] S4.3 If the line loss rate deviation is greater than zero, it is determined that the line loss of the corresponding branch is abnormal. If the node power consumption data consistency K < K1 or K > K2, it is determined that the power consumption data of the corresponding branch is abnormal and there is electricity theft. If the node power consumption data consistency K1 ≤ K ≤ K2, it is determined that the abnormality is not due to electricity theft and the cause of the abnormality is equipment or line problems.

[0039] Among them, the threshold K1 is preferably K1=0.3; the threshold K2 is preferably K2=3. K between 0.3 and 3 is within the normal fluctuation range of daily life, and there will be slight fluctuations during seasonal changes, short-term high power consumption, or short-term absence. Once it exceeds this range, the electricity consumption pattern completely deviates from the historical norm. Combined with the high line loss of the entire transformer area (Δη>0), it can be determined that the user is highly suspected of electricity theft. Then, combined with topology positioning, the target can be accurately located.

[0040] S5, locate the electricity theft node based on the transformer area topology map.

[0041] Step S5 includes the following steps: S5.1 Based on the transformer area topology map, traverse the abnormal branches layer by layer from top to bottom for single branch line loss, and filter out abnormal branches whose single branch line loss is greater than the preset line loss threshold of the branch. S5.2, trace down the topology hierarchy of the transformer area topology map along the abnormal branch to the end meter node, combine the consistency coefficient of electricity consumption data of each node to determine the abnormal electricity consumption situation, accurately locate the user node suspected of electricity theft, and output the corresponding transformer area topology location information.

[0042] Based on the topology hierarchy, the main measuring switch, the next level measuring switch, and the electricity meter are sequentially identified to locate abnormal data nodes. The electricity theft nodes are traced through the topology relationship. By combining the line loss rate deviation and the consistency coefficient of electricity consumption data for dual judgment, non-electricity theft factors such as equipment failure and load fluctuation are eliminated. After confirming the electricity theft behavior, the abnormal data and topology information are retained to provide a basis for on-site investigation.

[0043] Specifically, the loss of a single branch line is calculated step by step based on the topology hierarchy. By identifying branches with excessive line loss, high-loss abnormal lines and problematic meter boxes are accurately located. Then, by combining the historical electricity consumption data of each meter in the meter box, a consistency comparison analysis is conducted to accurately identify individual users with abnormal electricity consumption.

[0044] Based on the dual judgment mechanism of line loss rate deviation Δη and electricity consumption data consistency coefficient K, it effectively eliminates non-theft-related losses such as line aging, metering failure, load fluctuation, and three-phase imbalance, eliminates the influence of normal and reasonable losses, and accurately distinguishes between conventional line losses and human-caused electricity theft violations.

[0045] Simultaneously, it fully associates the entire network topology links, hierarchical branch loss data, and abnormal electricity consumption records of electricity meters, solidifies the traceability data of the entire process, realizes the accurate location of electricity theft nodes, and provides reliable data support and basis for electricity consumption inspection and on-site anti-electricity theft verification.

[0046] This disclosure provides a line loss calculation and electricity theft detection system based on a smart fusion terminal topology, including a smart fusion terminal, a measuring switch, and an electricity meter. The smart fusion terminal includes a topology identification module, a data acquisition module, a line loss calculation module, and an electricity theft detection module. The measuring switch includes a topology injection module and a topology identification module, and the electricity meter includes a topology injection module. The topology injection module is used to inject characteristic current signals into branches; the topology identification module is used to identify and collect echo signals; the data acquisition module is used to collect electricity consumption data from measuring switches and meters; the line loss calculation module is used to calculate line loss related parameters based on electricity consumption data, including single branch line loss, transformer area bus loss, and transformer area bus loss rate, and to make anomaly judgments based on the transformer area bus loss rate. If an anomaly is detected, electricity theft identification is triggered; the electricity theft identification module calculates the line loss deviation rate and the consistency of node electricity consumption data to determine whether electricity theft has occurred, and locates the electricity theft node based on the transformer area topology map.

[0047] This disclosure presents a line loss calculation and electricity theft identification system based on a smart converged terminal topology, comprising a processor and a memory storing program instructions. The processor is configured to execute the line loss calculation and electricity theft identification method based on a smart converged terminal topology as described in any of the above embodiments when running the program instructions.

[0048] The present invention has been described above by way of example, but the present invention is not limited to the specific embodiments described above. Any modifications or variations made based on the present invention shall fall within the scope of protection claimed by the present invention.

Claims

1. A method for line loss calculation and electricity theft detection based on intelligent fusion terminal topology, characterized in that, Includes the following steps: S1, the intelligent fusion terminal issues an injection command, the downstream device starts the internal topology injection module to inject characteristic current signals into the branch, the topology identification module identifies and collects the echo signals, and generates a transformer area topology map; S2, based on the transformer area topology map, collect and measure the power consumption data of switches and meters; S3 calculates line loss related parameters based on electricity consumption data. Line loss related parameters include single branch line loss, transformer area bus loss and transformer area bus loss rate. Anomaly judgment is made based on the transformer area bus loss rate. If an anomaly is judged, electricity theft identification is triggered. S4, calculate the line loss deviation rate and the consistency of node power consumption data to determine whether there is any electricity theft; S5, locate the electricity theft node based on the transformer area topology map.

2. The method for line loss calculation and electricity theft identification based on intelligent fusion terminal topology according to claim 1, characterized in that, In step S2, the electricity consumption data of the measuring switch and the electricity meter include daily electricity consumption.

3. The method for line loss calculation and electricity theft identification based on intelligent fusion terminal topology according to claim 1, characterized in that, Step S3 includes the following steps: S3.1, Calculate the line loss of a single branch based on the power consumption data from the measuring switches and meters of each branch: in, The daily electricity consumption is collected by the measuring switch at the branch power supply end. This is the cumulative daily electricity consumption of all meters under this measuring switch or the next level measuring switch. S3.2, Calculate the total line loss of the transformer area based on the single-branch line loss calculated for each branch: Where i is the branch number and r is the total number of branches in the transformer area; S3.3, Calculate the bus loss rate of the transformer area based on the bus loss of the transformer area: in, The total daily power consumption of the main measuring switch at the top of the transformer substation; S3.4, Set the line loss rate threshold The system compares the bus loss rate of the transformer substation with the line loss rate threshold. If the bus loss rate of the transformer substation is greater than the line loss rate threshold, the system will trigger electricity theft detection.

4. The method for line loss calculation and electricity theft identification based on intelligent fusion terminal topology according to claim 3, characterized in that, The line loss rate threshold is set based on a comprehensive and differentiated configuration according to the line laying method, power supply area, line age, load type, and three-phase balance.

5. The method for line loss calculation and electricity theft identification based on intelligent fusion terminal topology according to claim 1, characterized in that, Step S4 includes the following steps: S4.1, Calculate the line loss rate deviation based on the line loss rate and line loss rate threshold of the transformer area: S4.2, Calculate the consistency of node electricity consumption data based on real-time electricity consumption data and historical electricity consumption data for the same period: in, For real-time power consumption data of nodes, This refers to historical electricity consumption data for the same period at the node. S4.3 If the deviation of the line loss rate is greater than zero, it is determined that the line loss of the corresponding branch is abnormal. If the consistency of the node power consumption data is K < K1 or K > K2, it is determined that the power consumption data of the corresponding branch is abnormal and there is electricity theft.

6. The method for line loss calculation and electricity theft identification based on intelligent fusion terminal topology according to claim 5, characterized in that, In step S4.3, K1=0.3 and K2=3.

7. The method for line loss calculation and electricity theft identification based on intelligent fusion terminal topology according to claim 1, characterized in that, Step S5 includes the following steps: S5.1 Based on the transformer area topology map, traverse the abnormal branches layer by layer from top to bottom for single branch line loss, and filter out abnormal branches whose single branch line loss is greater than the preset line loss threshold of the branch. S5.2, trace down the topology hierarchy of the transformer area topology map along the abnormal branch to the end meter node, combine the consistency coefficient of electricity consumption data of each node to determine the abnormal electricity consumption situation, accurately locate the user node suspected of electricity theft, and output the corresponding transformer area topology location information.

8. The method for line loss calculation and electricity theft identification based on intelligent fusion terminal topology according to claim 7, characterized in that, The topology hierarchy in step S5.2 includes, in sequence, the main measurement switch, the next-level measurement switch, and the meter.

9. A line loss calculation and electricity theft detection system based on intelligent fusion terminal topology, characterized in that, The system includes a smart fusion terminal, a measuring switch, and an electricity meter. The smart fusion terminal includes a topology identification module, a data acquisition module, a line loss calculation module, and an electricity theft detection module. The measuring switch includes a topology injection module and a topology identification module. The electricity meter includes a topology injection module. The topology injection module is used to inject characteristic current signals into the branch; The topology identification module is used to identify the acquired echo signals; The data acquisition module is used to collect electricity consumption data from the measuring switch and the electricity meter; The line loss calculation module is used to calculate line loss related parameters based on electricity consumption data. The line loss related parameters include single branch line loss, transformer area bus loss and transformer area bus loss rate. The module makes anomaly judgment based on the transformer area bus loss rate. If an anomaly is judged, electricity theft identification is triggered. The electricity theft detection module calculates the line loss deviation rate and the consistency of node power consumption data to determine whether electricity theft has occurred, and locates the electricity theft node based on the transformer area topology map.

10. A line loss calculation and electricity theft detection system based on intelligent fusion terminal topology, comprising a processor and a memory storing program instructions, characterized in that, The processor is configured to execute, when running the program instructions, the line loss calculation and electricity theft identification method based on intelligent fusion terminal topology as described in any one of claims 1 to 8.

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