Topological information-based electric quantity loss prevention method and system

Abstract

The invention is suitable for the technical field of electric power Internet of Things, and relates to an electric quantity loss prevention method and system based on topological information, and the method comprises the steps: S10, obtaining a power distribution network topological structure; s20, periodically collecting electric quantity data and storing the electric quantity data according to a unified format; s30, establishing a line loss fluctuation model; s40, judging whether abnormity or data loss occurs or not, if yes, querying the electric quantity data of all subordinate nodes of the node, and if not, returning to the step S20; s50, starting an electric quantity calculation mechanism to reversely calculate the theoretical electric quantity of the lost node; and S60, according to a calculation result, outputting an alarm and storing calculation data. The method is simple in process and convenient to operate, can automatically detect and reasonably estimate the lost electric quantity by analyzing the electric quantity relation and the line loss characteristics between the superior node and the subordinate node when the electric quantity is lost, and improves the reliability of an electric power metering system.

Description

Technical Field

[0001] This invention belongs to the field of power Internet of Things technology, and in particular relates to a method and system for preventing power loss based on topology information. Background Technology

[0002] In existing power metering systems, especially in smart distribution networks and IoT meter applications, the following key technical problems exist: First, power data loss is difficult to recover. Due to communication interruptions, equipment crashes, storage anomalies, etc., power data from some nodes fails to be uploaded or saved normally, resulting in data loss and affecting the accuracy of energy statistics. Second, there is a lack of effective automatic data recovery mechanisms. Currently, most systems rely on manual meter reading or post-event data entry, which cannot achieve real-time detection and automatic compensation for power loss, resulting in delayed response and low efficiency. Third, the relationship between upper and lower level power data is not fully utilized. Although some systems have topology identification capabilities, most are only used for network management and are not correlated with power data analysis, failing to utilize the line loss characteristics between upper and lower level devices to reasonably estimate lost data. Fourth, line loss fluctuations affect metering judgment. In actual operation, line losses fluctuate due to factors such as temperature and load, making it difficult for traditional fixed threshold judgment methods to accurately identify the actual power loss. All these reasons make it difficult to recover and estimate lost power data in existing technologies, affecting the reliability of power metering systems.

[0003] Patent CN115993940B discloses a method, device, energy meter, and storage medium for preventing power loss, relating to the field of electronic technology. The method includes: receiving a second-level power consumption record and writing it into an atomic-level record; writing the atomic-level record into an atomic record based on the atomic-level record; converting the atomic record into atomic states and storing them in an atomic storage area; and updating the power consumption based on the atomic states in the atomic storage area. This method, after accumulating power consumption data, does not directly store and update the accumulated power consumption data. Instead, it adds an atomic storage area, converts the accumulated power consumption data into atomic states, writes the atomic states into the atomic storage area, and stores and updates the power consumption based on the atomic states in the atomic storage area. This patent achieves stable storage of power consumption data but does not provide a technical solution for recovering power consumption data after loss, thus exhibiting the same drawbacks as existing technologies.

[0004] Therefore, how to recover and estimate electricity data after it is lost, so as to improve the reliability of the electricity metering system, is a problem that urgently needs to be solved by people in this technical field. Summary of the Invention

[0005] To address the shortcomings of existing technologies, the purpose of this invention is to provide a power loss prevention method based on topology information, which solves the problem that power data cannot be recovered and estimated after loss in existing technologies, resulting in low reliability of power metering systems; in addition, this invention also provides a power loss prevention system based on topology information.

[0006] To solve the above-mentioned technical problems, the present invention adopts the following technical solution:

[0007] In a first aspect, the present invention provides a method for preventing power loss based on topology information, comprising the following steps:

[0008] S10. Obtain the power distribution network topology;

[0009] S20. Periodically collect electricity data and store it in a unified format;

[0010] S30. Establish a line loss fluctuation model;

[0011] S40. Determine whether an anomaly or data loss has occurred. If so, query the power data of all subordinate nodes of this node. Otherwise, return to step S20.

[0012] S50, activate the power calculation mechanism to reverse the calculation of the theoretical power of the lost node;

[0013] S60. Based on the calculation results, output alarms and save the calculation data.

[0014] Furthermore, in step S30, the line loss value of each loop is calculated periodically, and the mean line loss μ and standard deviation σ of the loop are obtained by combining historical data statistics, and the line loss fluctuation model is established as follows:

[0015] Line loss = μ ± α × σ, where α is the confidence coefficient.

[0016] Furthermore, in step S40, if the current node does not report power data, it is determined to be data loss; if the power of the current node does not match that of the upper and lower levels and exceeds the allowable deviation of line loss, it is determined to be abnormal.

[0017] Furthermore, in step S50, the calculation formula is as follows:

[0018] Parent node power consumption = Σ((child node power consumption) / (1 – branch line loss rate)).

[0019] Furthermore, in step S60, if the calculated result deviates from the historical data of the same period by more than a threshold, a high-risk alarm is triggered, and the calculated data is marked as an estimated value and used to temporarily replace the real data.

[0020] Furthermore, in step S10, the physical connection relationship between each node is identified by using impedance matching, carrier signal analysis or voltage fluctuation correlation, a tree topology diagram is constructed, and the topology information is stored in a local database or uploaded to the main station system.

[0021] Furthermore, in step S20, the power data includes voltage, current, active power, and reactive power.

[0022] Furthermore, the data collection cycle is one hour.

[0023] Secondly, the present invention also provides a power loss prevention system based on topology information, comprising:

[0024] The topology identification module is used to obtain the connection relationships between nodes in the power distribution network and form a tree-like topology diagram;

[0025] The data acquisition module is used to collect voltage, current, and active / reactive power in real time.

[0026] The line loss statistics module is used to calculate the average return line loss and its fluctuation range based on historical data;

[0027] An anomaly detection module is used to determine whether there is an abnormal power level or data loss.

[0028] The power estimation module is used to estimate the power consumption of the parent node in reverse based on the child node data and the line loss model when data is lost.

[0029] The alarm and logging module is used to output alarm information and save abnormal event records;

[0030] The communication interface module is used for data interaction with the main station system, concentrator, and energy meter;

[0031] The topology identification module is communicatively connected to the anomaly detection module and the power consumption calculation module, respectively. The data acquisition module is communicatively connected to the line loss statistics module and the anomaly detection module, respectively. The line loss statistics module is also communicatively connected to the anomaly detection module and the power consumption calculation module, respectively. The anomaly detection module is communicatively connected to the power consumption calculation module. The power consumption calculation module is communicatively connected to the alarm and recording module. All of the above modules are communicatively connected to the communication interface module.

[0032] The power loss prevention method and system based on topology information provided by this invention has at least the following advantages compared with the prior art:

[0033] In existing technologies, lost power grid data is difficult to recover and estimate, affecting the reliability of power metering systems. This invention offers a simple and convenient process. By introducing a topology identification mechanism for distribution networks and a dynamic line loss statistical model, it solves the problem of lacking data loss recovery capabilities in existing power anomaly detection systems. Traditional methods rely solely on fixed line loss values ​​for anomaly detection, failing to adapt to load and environmental changes, resulting in a high false positive rate. This invention, however, uses a sliding window to statistically analyze the mean and fluctuation range of line loss, combined with a confidence coefficient to dynamically adjust the deviation threshold, thereby improving the accuracy and adaptability of anomaly detection. Furthermore, in the event of communication interruptions or equipment failures leading to data loss, this invention can reverse-engineer the lost data based on the power levels of lower-level nodes and the topology hierarchy. The theoretical power consumption of nodes effectively ensures the integrity of metering data. In addition, this invention constructs a complete closed-loop processing flow from topology identification, data acquisition, anomaly detection, and power consumption calculation, realizing a technological leap from passive alarm to active recovery. Compared with the existing technology that can only locate anomalies and rely on manual data entry, this solution significantly improves the system's automation level and operation and maintenance efficiency, and reduces the cost of manual intervention. It is particularly suitable for scenarios such as electricity billing and energy consumption auditing where data integrity requirements are high. Through multi-dimensional risk assessment and alarm mechanisms, this invention also supports differentiated responses for different risk levels, enhancing the system's intelligence and practicality. Attached Figure Description

[0034] To more clearly illustrate the solution of the present invention, a brief introduction will be given to the drawings used in the description of the embodiments 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.

[0035] Figure 1 A flowchart of a power loss prevention method based on topology information provided in an embodiment of the present invention. Detailed Implementation

[0036] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art. The terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. For example, terms such as “length,” “width,” “upper,” “lower,” “left,” “right,” “front,” “rear,” “vertical,” “horizontal,” “top,” “bottom,” “inner,” and “outer” indicate orientations or positions based on the orientations or positions shown in the accompanying drawings and are for ease of description only, and should not be construed as limiting the technical solution.

[0037] The terms "comprising" and "having," and any variations thereof, in the specification, claims, and accompanying drawings of this invention are intended to cover non-exclusive inclusion; the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish different objects, not to describe a particular order. In the specification, claims, and accompanying drawings of this invention, when an element is referred to as "fixed to," "mounted to," "disposed of," or "connected to" another element, it may be directly or indirectly located on that other element. For example, when an element is referred to as "connected to" another element, it may be directly or indirectly connected to that other element.

[0038] Furthermore, the reference to "embodiment" herein means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0039] This invention provides a method for preventing power loss based on topology information, applicable to smart distribution networks and IoT meters in power metering systems. The method for preventing power loss based on topology information includes the following steps:

[0040] S10. Obtain the power distribution network topology; S20. Periodically collect power data and store it in a unified format; S30. Establish a line loss fluctuation model; S40. Determine if an anomaly or data loss has occurred. If so, query the power data of all subordinate nodes of the current node. Otherwise, return to step S20; S50. Start the power calculation mechanism to reverse the calculation of the theoretical power of the lost node; S60. Based on the calculation results, output alarms and save the calculated data.

[0041] This invention features a simple process and convenient operation. When power loss occurs, it can automatically detect and reasonably estimate the lost power by analyzing the power relationship and line loss characteristics between the upper and lower level nodes, thereby improving the reliability of the power metering system.

[0042] To enable those skilled in the art to better understand the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings.

[0043] This invention provides a method for preventing power loss based on topology information, applicable to smart distribution networks and IoT meters in power metering systems, such as... Figure 1 As shown, in this embodiment, the power loss prevention method based on topology information includes the following steps:

[0044] S10. Obtain the power distribution network topology.

[0045] Specifically, in this embodiment, impedance matching, carrier signal analysis, or voltage fluctuation correlation are used to identify the physical connection relationship between each node, construct a tree topology diagram, clarify the superior and inferior nodes of each node, and store the topology information in a local database or upload it to the main station system.

[0046] S20, periodically collects power consumption data.

[0047] Specifically, in this embodiment, data such as voltage, current, active power, and reactive power are periodically collected for each node.

[0048] Furthermore, in this embodiment, the data acquisition frequency can be set to once per hour or set as needed, and all data is stored in a uniform format for easy subsequent processing.

[0049] S30. Establish a line loss fluctuation model.

[0050] Specifically, in this embodiment, the line loss value of each loop is calculated periodically, and the mean line loss μ and standard deviation σ of the loop are obtained by combining historical data statistics. A line loss fluctuation model is established: line loss = μ ± α × σ, where α is the confidence coefficient. This model supports dynamic updates of the line loss model to adapt to different load and temperature changes.

[0051] S40. Determine if an anomaly or data loss has occurred. If the current node does not report power data, it is determined to be data loss. If the power of the current node does not match that of the upper and lower levels and exceeds the allowable deviation of line loss, it is determined to be an anomaly.

[0052] Specifically, in this embodiment, the anomaly determination formula is: |Actual power consumption - Theoretical power consumption| > Line loss threshold.

[0053] S50. Activate the power calculation mechanism. If data loss is determined, query the power data of all subordinate nodes of the node and calculate the theoretical power of the lost node in reverse based on the topology hierarchy and line loss model.

[0054] Specifically, in this embodiment, the calculation formula is as follows:

[0055] Parent node power consumption = Σ((child node power consumption) / (1 – branch line loss rate)).

[0056] S60. Output alarms and save calculated data. If the calculated result deviates significantly from the historical data of the same period, a high-risk alarm is triggered. The calculated data is marked as an estimated value and used to temporarily replace the real data. Information such as the time, type, and calculation process of the abnormal event is recorded for manual review.

[0057] This invention also provides a power loss prevention system based on topology information, comprising:

[0058] The system comprises the following modules: a topology identification module for acquiring the connection relationships between nodes in the power distribution network and forming a tree-like topology diagram; a data acquisition module for real-time acquisition of voltage, current, and active / reactive power; a line loss statistics module for calculating the average and fluctuation range of circuit line losses based on historical data; an anomaly detection module for determining whether there are abnormal power levels or data loss; a power estimation module for estimating the power level of the parent node based on child node data and the line loss model when data loss occurs; an alarm and recording module for outputting alarm information and saving abnormal event records; and a communication interface module for data interaction with the master station system, concentrators, and energy meters. The topology identification module communicates with the anomaly detection module and the power estimation module, the data acquisition module communicates with the line loss statistics module and the anomaly detection module, the line loss statistics module also communicates with the anomaly detection module and the power estimation module, the anomaly detection module communicates with the power estimation module, the power estimation module communicates with the alarm and recording module, and all of the above modules communicate with the communication interface module.

[0059] Specifically, in this embodiment, the topology identification module provides topology information to the anomaly detection module and the power consumption estimation module; the data acquisition module provides power consumption data to the line loss statistics module and the anomaly detection module; the line loss statistics module provides line loss model parameters to the anomaly detection module and the power consumption estimation module; after the anomaly detection module is triggered, it calls the power consumption estimation module to recover the data; the estimation result is output and saved by the alarm and recording module; and the communication interface module is responsible for exchanging data with other devices.

[0060] The power loss prevention method and system based on topology information described in the above embodiments, compared with the prior art, addresses the difficulty in recovering and estimating lost power grid data, which affects the reliability of the power metering system. This invention features a simple process and convenient operation. By introducing a distribution network topology identification mechanism and a dynamic line loss statistical model, it solves the problem of lacking data loss recovery capabilities in existing power anomaly detection systems. Traditional methods rely solely on fixed line loss values ​​for anomaly judgment, failing to adapt to load and environmental changes, resulting in a high false positive rate. This invention, however, uses a sliding window to statistically analyze the mean and fluctuation range of line loss, combined with a confidence coefficient to dynamically adjust the deviation threshold, thereby improving the accuracy and adaptability of anomaly judgment. Furthermore, when communication interruptions or equipment failures lead to data loss, this invention can reverse-calculate the lost data based on the power of lower-level nodes and the topology hierarchy. The theoretical power consumption of nodes effectively ensures the integrity of metering data. In addition, this invention constructs a complete closed-loop processing flow from topology identification, data acquisition, anomaly detection, and power consumption calculation, realizing a technological leap from passive alarm to active recovery. Compared with the existing technology that can only locate anomalies and rely on manual data entry, this solution significantly improves the system's automation level and operation and maintenance efficiency, and reduces the cost of manual intervention. It is particularly suitable for scenarios such as electricity billing and energy consumption auditing where data integrity requirements are high. Through multi-dimensional risk assessment and alarm mechanisms, this invention also supports differentiated responses for different risk levels, enhancing the system's intelligence and practicality.

[0061] Obviously, the embodiments described above are merely preferred embodiments of the present invention, and not all embodiments. The accompanying drawings illustrate preferred embodiments of the present invention, but do not limit the scope of the patent. The present invention can be implemented in many different forms; rather, these embodiments are provided to provide a more thorough and complete understanding of the disclosure of the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing specific embodiments, or make equivalent substitutions for some of the technical features. Any equivalent structures made using the content of this specification and drawings, directly or indirectly applied to other related technical fields, are similarly within the scope of patent protection of this invention.

Claims

1. A method for preventing power loss based on topology information, characterized in that, Includes the following steps: S10. Obtain the power distribution network topology; S20. Periodically collect electricity data and store it in a unified format; S30. Establish a line loss fluctuation model; S40. Determine whether an anomaly or data loss has occurred. If so, query the power data of all subordinate nodes of this node. Otherwise, return to step S20. S50, activate the power calculation mechanism to reverse the calculation of the theoretical power of the lost node; S60. Based on the calculation results, output alarms and save the calculation data.

2. The method for preventing power loss based on topology information according to claim 1, characterized in that, In step S30, the line loss value of each loop is calculated periodically, and the mean line loss μ and standard deviation σ of the loop are obtained by combining historical data. The line loss fluctuation model is established as follows: Line loss = μ ± α × σ, where α is the confidence coefficient.

3. The power loss prevention method based on topology information according to claim 1, characterized in that, In step S40, if the current node does not report power data, it is determined that the data is lost; if the power of the current node does not match that of the upper and lower levels and exceeds the allowable deviation of line loss, it is determined to be abnormal.

4. The method for preventing power loss based on topology information according to claim 1, characterized in that, In step S50, the calculation formula is as follows: Parent node power consumption = Σ((child node power consumption) / (1 – branch line loss rate)).

5. A method for preventing power loss based on topology information according to claim 1, characterized in that, In step S60, if the calculated result deviates from the historical data of the same period by more than a threshold, a high-risk alarm is triggered, and the calculated data is marked as an estimated value and used to temporarily replace the real data.

6. The method for preventing power loss based on topology information according to claim 1, characterized in that, In step S10, the physical connection relationship between each node is identified by impedance matching, carrier signal analysis or voltage fluctuation correlation, a tree topology diagram is constructed, and the topology information is stored in a local database or uploaded to the main station system.

7. The method for preventing power loss based on topology information according to claim 1, characterized in that, In step S20, the power data includes voltage, current, active power, and reactive power.

8. A method for preventing power loss based on topology information according to claim 7, characterized in that, The data collection cycle is one hour.

9. A system employing the method as described in any one of claims 1 to 8, characterized in that, include: The topology identification module is used to obtain the connection relationships between nodes in the power distribution network and form a tree-like topology diagram; The data acquisition module is used to collect voltage, current, and active / reactive power in real time. The line loss statistics module is used to calculate the average return line loss and its fluctuation range based on historical data; An anomaly detection module is used to determine whether there is an abnormal power level or data loss. The power estimation module is used to estimate the power consumption of the parent node in reverse based on the child node data and the line loss model when data is lost. The alarm and logging module is used to output alarm information and save abnormal event records; The communication interface module is used for data interaction with the main station system, concentrator, and energy meter; The topology identification module is communicatively connected to the anomaly detection module and the power consumption calculation module, respectively. The data acquisition module is communicatively connected to the line loss statistics module and the anomaly detection module, respectively. The line loss statistics module is also communicatively connected to the anomaly detection module and the power consumption calculation module, respectively. The anomaly detection module is communicatively connected to the power consumption calculation module. The power consumption calculation module is communicatively connected to the alarm and recording module. All of the above modules are communicatively connected to the communication interface module.

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