Distribution area line loss abnormal branch line positioning method and system

Abstract

The invention relates to the technical field of power distribution, and particularly provides a power distribution area line loss abnormal branch line positioning method and system, and the method comprises the steps: obtaining a power grid topology of a power distribution area and a deployment scheme of a sensor, and building an incidence relation between a node of the power grid topology and a sensor device name; assigning the electric quantity data collected by the sensor to the corresponding node based on the association relationship; based on the assigned power grid topology, calculating a difference value between the electric quantity data of the node branch lines and the total electric quantity data of the adjacent nodes; and determining that an abnormal point exists between the node branch line and the adjacent node if the difference value exceeds a set threshold value. According to the invention, the accuracy and efficiency of line loss abnormity positioning are improved, and the data processing amount is reduced.

Description

Technical Field

[0001] This invention belongs to the field of power distribution technology, specifically relating to a method and system for locating abnormal branch lines in a power distribution substation. Background Technology

[0002] The level of line loss management in distribution transformer areas comprehensively reflects and embodies the level of power system planning, design, production operation, and management, and is an important economic and technical indicator for power grid operating companies. Currently, power grid companies are increasingly perfecting the HPLC (High-Speed ​​Power Line Communication) upgrades for metering in distribution transformer areas. Therefore, it is particularly important to improve the efficiency of anomaly verification in distribution transformer areas under conditions of unreasonable non-line grid structures, given existing advantages.

[0003] First, with more and more overhead lines in distribution substations being buried underground and meter boxes being sealed and wrapped, electricity theft points and equipment damage points have become more concealed, making line loss verification work extremely difficult.

[0004] Secondly, the traditional line loss verification method, which involves using the data acquisition system to compare power consumption and identify abnormal meter readings, to initially determine abnormal areas in the distribution transformer area and then conducting on-site verification in batches in these abnormal areas, is highly experience-based, time-consuming, and labor-intensive. Summary of the Invention

[0005] In view of the above-mentioned shortcomings of the prior art, the present invention provides a method and system for locating abnormal branch lines in a distribution substation to solve the above-mentioned technical problems.

[0006] In a first aspect, the present invention provides a method for locating abnormal branch lines in a distribution substation, comprising: Obtain the power grid topology and sensor deployment plan for the distribution substation, and establish the association between the nodes of the power grid topology and the names of the sensor devices; Based on the aforementioned correlation, the power data collected by the sensor is assigned to the corresponding node; Based on the assigned power grid topology, calculate the difference between the power data of the branch lines at each node and the total power data of the adjacent nodes; If the difference is confirmed to exceed the set threshold, it is determined that there is an anomaly between the node branch line and the adjacent node.

[0007] In one optional implementation, the deployment scheme of the sensor includes: Construct the distribution area network structure based on the distribution area grid structure, segmented metering points, customer metering points, and total metering points of the distribution area. The electrical quantity acquisition device of the sub-line located at the line segment metering point is directly connected to the line, and then the electrical quantity data of the sub-line at the direct connection point is measured through the mutual inductance equipment; The customer metering point and the total metering point of the transformer area collect electrical quantity data through sensors, and the electrical quantity data at the line segment metering point is transmitted to the host server wirelessly by the signal transmitting device of the segment point. The interconnection of each metering point constitutes the topology of the transformer area line. The total metering point of the transformer area is connected to the line segment nodes in a three-phase manner, while the user-end metering point of the distribution transformer area is connected to the transformer area network line in a three-phase or single-phase manner.

[0008] In one optional implementation, the power grid topology and sensor deployment scheme of the distribution substation are obtained, and the association between the nodes of the power grid topology and the sensor device names is established, including: Analyze the structure of the power grid topology, mark the parallel connection points as intermediate nodes, and assign IDs to the intermediate nodes; Mark the master table as the initial node and the user table as the bottom node, and assign IDs to the initial node and the bottom node; Based on the installation location of the sensors in the deployment scheme, establish an association between node IDs and sensor device names. The association includes a mapping between node IDs and the total power sensor device name, and a mapping between node IDs + sub-line numbers and the sensor device names for measuring the corresponding sub-line.

[0009] In an optional implementation, the electrical data collected by the sensor is assigned to the corresponding node based on the association relationship, including: Build a multi-way tree with the initial node as the root node; Construct a nested two-level child node structure for the root node and intermediate nodes in the multi-way tree. The upper-level child node represents the total power of the node, and the lower-level child node represents the power of the node's branch lines. Based on the aforementioned association, the power data collected by the sensor is assigned to the corresponding node or child node of the multi-path tree.

[0010] In an optional implementation, based on the assigned power grid topology, the difference between the power consumption data of a node's branch line and the total power consumption data of its neighboring nodes is calculated, including: Calculate the power difference between the upper and lower level child nodes of each node in the multi-way tree, and record the power difference as the power loss of the node; Calculate the power difference between any branch node of any node in the multi-path tree and the upper-level child node of the lower-level node, and save the power difference as the line loss power of the corresponding circuit.

[0011] In an optional implementation, if the difference exceeds a set threshold, it is determined that there is an anomaly between the node branch line and its adjacent nodes, including: The standard line loss power is calculated based on the line specification parameters and standard line loss rate between two adjacent nodes, and the standard line loss power is set as a threshold. Traverse the multi-way tree and filter out the node combinations where the line loss exceeds the corresponding threshold.

[0012] In an optional implementation, the method further includes: If the power loss of a node is 0, then the node is considered to be normal. If the power loss of a node is not 0, the power equipment type corresponding to the node's ID is queried from the pre-configured device list. If the query fails, the node is determined to be an abnormal node. If the query succeeds, the maximum power loss corresponding to the power equipment type is retrieved, and the node's power loss is compared with the maximum power loss. If the node's power loss exceeds the maximum power loss, the node is determined to be an abnormal node.

[0013] Secondly, the present invention provides a distribution substation line loss anomaly location system, comprising: The association establishment module is used to obtain the power grid topology and sensor deployment plan of the distribution substation, and establish the association relationship between the nodes of the power grid topology and the sensor device names; The power assignment module is used to assign the power data collected by the sensor to the corresponding node based on the correlation relationship; The power calculation module is used to calculate the difference between the power data of the branch lines of a node and the total power data of the adjacent nodes based on the assigned power grid topology. An anomaly location module is used to determine that if the difference exceeds a set threshold, there is an anomaly between the node branch line and its adjacent nodes.

[0014] In one optional implementation, the deployment scheme of the sensor includes: Construct the distribution area network structure based on the distribution area grid structure, segmented metering points, customer metering points, and total metering points of the distribution area. The electrical quantity acquisition device of the sub-line located at the line segment metering point is directly connected to the line, and then the electrical quantity data of the sub-line at the direct connection point is measured through the mutual inductance equipment; The customer metering point and the total metering point of the transformer area collect electrical quantity data through sensors, and the electrical quantity data at the line segment metering point is transmitted to the host server wirelessly by the signal transmitting device of the segment point. The interconnection of each metering point constitutes the topology of the transformer area line. The total metering point of the transformer area is connected to the line segment nodes in a three-phase manner, while the user-end metering point of the distribution transformer area is connected to the transformer area network line in a three-phase or single-phase manner.

[0015] In an optional implementation, the association establishment module includes: The first parsing unit is used to parse the structure of the power grid topology, mark the parallel connection points as intermediate nodes, and assign IDs to the intermediate nodes. The second parsing unit is used to mark the master table as the initial node and the user terminal as the bottom node, and to assign IDs to the initial node and the bottom node. The mapping construction unit is used to establish an association between node IDs and sensor device names based on the installation locations of the sensors in the deployment scheme. The association includes a mapping between node IDs and total power sensor device names, and a mapping between node IDs + sub-line numbers and sensor device names for measuring the corresponding sub-line.

[0016] The beneficial effects of this invention are that the distribution substation line loss anomaly localization method and system provided by this invention, by dividing the power grid topology into nodes and deploying sensors at the nodes to collect corresponding power data, further matching the power data between adjacent nodes, and thus locating abnormal lines with excessive line losses, achieves rapid localization of abnormal lines. Compared with existing line loss localization methods based on large-scale algorithm models, this invention improves the accuracy and efficiency of line loss anomaly localization and reduces the amount of data processing.

[0017] Furthermore, the design principle of this invention is reliable, the structure is simple, and it has a very wide range of application prospects. Attached Figure Description

[0018] 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, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a schematic flowchart of a method according to an embodiment of the present invention.

[0020] Figure 2 This is a logical schematic diagram of a method according to an embodiment of the present invention.

[0021] Figure 3 This is a schematic diagram of segmented node acquisition and receiving end information transmission in an embodiment of the present invention.

[0022] Figure 4 This is a schematic diagram of information transmission between the segmented receiving end and the system end in an embodiment of the present invention.

[0023] Figure 5 This is a schematic diagram of a fault in a power distribution line in a transformer substation, according to an embodiment of the present invention.

[0024] Figure 6 This is a logic diagram of a distribution substation fault location procedure according to an embodiment of the present invention.

[0025] Figure 7This is a schematic block diagram of a system according to an embodiment of the present invention. Detailed Implementation

[0026] To enable those skilled in the art to better understand the technical solutions of this invention, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this invention.

[0027] 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 to which this invention pertains. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.

[0028] The key terms used in this invention will be explained below.

[0029] A multi-way tree is a data structure in which each node can have more than two child nodes. If a multi-way tree can have at most m child nodes, then the tree is called an m-order multi-way tree (or m-ary tree).

[0030] The distribution substation abnormality branch line location method provided in this embodiment of the invention is executed by computer equipment, and correspondingly, the distribution substation abnormality branch line location system runs in the computer equipment.

[0031] Figure 1 This is a schematic flowchart illustrating a method according to an embodiment of the present invention. Wherein, Figure 1 The implementing entity can be a distribution substation line loss anomaly localization system. Depending on different requirements, the order of steps in this flowchart can be changed, and some steps can be omitted.

[0032] like Figure 1 As shown, the method includes: S1. Obtain the power grid topology and sensor deployment plan of the distribution substation, and establish the association between the nodes of the power grid topology and the names of the sensor devices.

[0033] S2. Based on the aforementioned correlation, assign the power data collected by the sensor to the corresponding node.

[0034] S3. Based on the assigned power grid topology, calculate the difference between the power data of the branch lines at the node and the total power data of the adjacent nodes.

[0035] S4. If the difference is confirmed to exceed the set threshold, it is determined that there is an anomaly between the node branch line and the adjacent node.

[0036] Please refer to Figure 2 The power consumption data acquisition model for each node in the transformer substation is constructed. The overall model is composed of line segment nodes of the 400V line in the transformer substation, line electrical quantity acquisition and transmission devices, data receiving devices, electrical metering data of the main meter and sub-meters of the acquisition system, data server, and power consumption data comparison program. The program can be added or removed according to different transformer substation topologies to calculate power consumption data for each line and accurately locate abnormal line loss areas in the transformer substation.

[0037] The construction of the transformer substation topology in the model includes at least the following: Electricity metering points at various line segments and nodes in the 400V distribution area. Total power metering point for 400V distribution area; 400V distribution transformer area user-end power metering point; 400V distribution area grid line.

[0038] Furthermore: the interconnection between each metering point constructs the line topology of a certain transformer area. The connection between the total metering point of the transformer area and the line segment nodes is a three-phase connection. The connection between the user-end metering point of the distribution transformer area and the transformer area network line may be a three-phase connection or a one-phase connection, depending on the nature of the client load.

[0039] Please refer to Figure 3 The electrical quantity acquisition section of the model includes at least: The power line electrical quantity acquisition device is a primary electrical quantity acquisition device that collects current, voltage, power, and hourly cumulative electricity on power lines.

[0040] The transmitting device uses a LoRa (Long Range) communication protocol data transmission module.

[0041] The electrical quantity acquisition and transmission device and the data receiving device use the LoRa communication protocol for information transmission.

[0042] The data receiving device polls to receive LoRa data transmitted by the electrical quantity acquisition and transmission device.

[0043] Please refer to Figure 4 The data server is used to receive, classify and organize electrical quantity data received by the data receiving device. The receiving end transmits the data to the data server through the MQTT (Message Queuing Telemetry Transport) communication protocol.

[0044] The electrical metering data for the main and sub-meters in the transformer area are based on electrical data from the internal database.

[0045] The power data comparison program for the model: A power consumption comparison program was edited using Java. By comparing the power consumption data from the main meter of the transformer area, the individual meter data of the client, and the power consumption data collected by the power saving of each line segment, the location of the fault point in the topology can be determined.

[0046] The above-described distribution substation line loss anomaly location technology includes the following steps: 1. First, construct the distribution area network structure based on the distribution area network structure, segmented metering points, customer metering points, and the total metering point of the distribution area.

[0047] 2. The electrical quantity acquisition device of the sub-line located at the line segment metering point is directly connected to the line, and then the electrical quantity data of the sub-line at the direct connection point is measured through the mutual inductance equipment.

[0048] 3. The customer metering point and the total metering point of the transformer area collect electrical quantity data through the internal database. The electrical quantity data of the line segment metering points are transmitted to the host server wirelessly by the signal transmitting device of the segment point.

[0049] 4. The host uses an electricity comparison program to compare and analyze the electricity data of the sub-lines at the client metering point, the total metering point of the transformer area, and the line segment metering point, from the end of the line to the next level, and gradually completes the location of sub-lines in abnormal areas.

[0050] In one embodiment of the present invention, a known sensor deployment scheme includes: Construct the distribution area network structure based on the distribution area grid structure, segmented metering points, customer metering points, and total metering points of the distribution area. The electrical quantity acquisition device of the sub-line located at the line segment metering point is directly connected to the line, and then the electrical quantity data of the sub-line at the direct connection point is measured through the mutual inductance equipment; The customer metering point and the total metering point of the transformer area collect electrical quantity data through sensors, and the electrical quantity data at the line segment metering point is transmitted to the host server wirelessly by the signal transmitting device of the segment point. The interconnection of each metering point constitutes the topology of the transformer area line. The total metering point of the transformer area is connected to the line segment nodes in a three-phase manner, while the user-end metering point of the distribution transformer area is connected to the transformer area network line in a three-phase or single-phase manner.

[0051] For a specific example, please refer to Figure 5 Assume the fault is in phase C of node 2. The two branch lines of node 2 are connected to nodes 3 and 5 respectively. The two branch lines of node 4 are connected to user B and node 4 respectively. The two branch lines of node 5 are connected to user A and node 6 respectively.

[0052] In this scenario, the anomaly localization logic is as follows: Figure 6 As shown. The specific process includes: Phase 5 power at node: First, check if there is any charge at "phase 5 at node". If there is charge at phase 5 at node, proceed to the next step.

[0053] Is the phase charge of node 5 equal to the phase charge of node 6? If they are equal, the line between node 5 and node 6 is considered normal. If they are not equal, the fault area is considered to be between node 5 and node 6.

[0054] Is the phase charge of node 3 equal to that of node 4? If they are equal, the line between node 3 and node 4 is considered normal. If they are not equal, the fault area is considered to be between node 3 and node 4.

[0055] Is the phase charge of node 5 equal to the phase charge of node 2? If they are equal, the line between node 5 and node 2 is considered normal. If they are not equal, the fault area is considered to be between node 5 and node 2.

[0056] Is the phase charge of node 3 equal to that of node 2? If they are equal, the line between node 3 and node 2 is considered normal. If they are not equal, the fault area is considered to be between node 3 and node 2.

[0057] Is the phase charge of node 2 equal to the phase charge of node 1? If they are equal, the fault area is determined to be between node 1 and other nodes. If they are not equal, the fault area is determined to be between node 2 and node 1.

[0058] This technology features remote data recording, high topological scalability and flexibility, a high degree of manual labor substitution, and precise location of hidden electricity theft points, thereby reducing manpower and time costs in the process of verifying line loss in distribution transformer areas. Taking a distribution transformer area with 400 meters as an example, under the condition that the front line of the meters is not in conduit or underground, and most meters are installed in relatively standardized environments, a two-person team conducting on-site electricity theft verification takes an average of 1.5 days, averaging 8 hours of verification per day. If this system is put into operation in the distribution transformer area, the verification time is approximately 30-60 minutes, improving verification efficiency by about 92%. Under the condition that the front line of the meters is in conduit or underground, and most meters are installed in more challenging environments, a two-person team conducting on-site electricity theft verification takes an average of 4 days, averaging 8 hours of verification per day, with this system improving efficiency by 97%. In addition, using this technology to investigate abnormal areas can significantly lower the entry threshold for technical personnel and reduce reliance on experienced technicians.

[0059] In one embodiment of the present invention, based on step S1, the following will provide a possible embodiment and describe its specific implementation in a non-limiting manner.

[0060] S101. Analyzing the power grid topology: First, we need to perform a comprehensive analysis of the entire power grid topology. This includes identifying the various components of the power grid, such as the master grid (initial node), user terminals (bottom-level nodes), parallel connection points (intermediate nodes), and the connections between them.

[0061] Parallel connection points play a crucial role in connecting and distributing current in the power grid, so we need to mark them as intermediate nodes and assign them unique IDs in subsequent steps.

[0062] S102. Node ID Assignment: Mark the master meter (total metering point of the transformer area) as the initial node and assign it a special ID, such as "000" or "Root", to indicate its core position in the power grid topology.

[0063] As end users of the power grid, the customer-side metering points are marked as bottom-level nodes. We need to assign a unique ID to each bottom-level node, which can be compiled based on the user's location, number, or other relevant information.

[0064] The ID assignment of intermediate nodes (parallel connection points) needs to take into account their location and connection relationship in the power grid. We can assign them an ID that reflects their hierarchy and connection order, such as "001-1", "001-2", etc., where "001" indicates the connection relationship between the intermediate node and the initial node, and "-1" and "-2" indicate the number of the intermediate node in the same hierarchy.

[0065] S103. Establish the association between node ID and sensor device name: In power grid deployment schemes, the installation location of sensors is crucial. We need to establish a relationship between node IDs and sensor device names based on the sensor's installation location.

[0066] For initial and intermediate nodes, multiple sensors need to be installed to monitor the power of different branch lines. In this case, we need to assign a unique branch line number to each branch line of each intermediate node and establish a mapping relationship between the node ID + branch line number and the sensor device name for measuring the corresponding branch line. For example, if an intermediate node has an ID of "002" and this node has two branch lines, we can assign the numbers "A" and "B" to these two branch lines respectively, and establish a mapping relationship between "002-A" and the sensor device name for measuring branch line A, and "002-B" and the sensor device name for measuring branch line B.

[0067] For the bottom-level nodes, only one sensor to detect the total power needs to be installed.

[0068] In one embodiment of the present invention, based on step S2, the following will provide a possible embodiment and describe its specific implementation in a non-limiting manner.

[0069] S201. Construct a multi-way tree with the initial node as the root node. In the topology of a power grid, the initial node serves as the starting point of the entire grid, responsible for aggregating and recording the power data of the entire grid. Using the initial node as the root node, we can gradually add intermediate and bottom-level nodes based on the connection relationships between nodes in the grid, constructing a complete multi-path tree structure. This multi-path tree not only clearly displays the path and distribution of current in the power grid but also provides a basic framework for subsequent power data monitoring and analysis.

[0070] S202. Construct a nested two-level child node structure for the root node and intermediate nodes in a multi-way tree. In the constructed multi-way tree, we need to design a nested two-level child node structure for the root node and intermediate nodes to store and represent power information.

[0071] Upper-level child node (total node power): This child node stores and represents the total power consumption of the area or device it represents. For the root node, this total power consumption represents the power consumption of the entire power grid; for intermediate nodes, it represents the sum of power flowing from the upper-level node and distributed to the lower-level nodes. Through the upper-level child node, we can quickly obtain the total power consumption information of any node in the power grid.

[0072] Lower-level sub-nodes (node's branch line power consumption): These sub-nodes are used to record and represent in detail the power consumption information of each branch line connected to the node. For intermediate nodes, since they may connect to multiple downstream nodes or branch lines, we need to assign a unique number (such as "A", "B", etc.) to each branch line and record the power consumption of each branch line separately. The design of the lower-level sub-nodes enables us to accurately monitor and analyze the power consumption of each branch line in the power grid, providing strong support for fault diagnosis and energy efficiency management.

[0073] S203. Assign the power data collected by the sensor to the corresponding node or child node of the multi-way tree based on the association relationship. In our power grid deployment plan, we have already installed sensors at key locations to monitor electricity data in real time. To ensure data accuracy and traceability, we need to establish a relationship between node IDs and sensor device names based on the sensor's installation location and the object being measured. Simultaneously, we need to assign a unique branch line number to each branch line of each intermediate node and establish a mapping relationship between the node ID + branch line number and the sensor device name measuring the corresponding branch line.

[0074] Based on these relationships, we can accurately assign the power data collected by the sensors to the corresponding nodes or child nodes in the multi-path tree. For the root node and intermediate nodes, we need to assign the total power data collected by the sensors to the upper-level child nodes and the power data of each branch line to the corresponding lower-level child nodes. For the bottom-level nodes, since they are usually connected to only one total power sensor to monitor their power consumption, we only need to assign the data collected by the sensors to the upper-level child nodes of that node (if the bottom-level node is also designed with lower-level child nodes to record data at different time points, then the data can also be assigned to the lower-level child nodes).

[0075] The techniques used in constructing nested multi-way trees include: I. Methods and Steps Define the node structure: First, you need to define a node class (or struct) that contains basic information about the node, such as node ID and node name.

[0076] For nested multi-way trees, the node class should also contain pointers or references to its child nodes. This is typically a list, array, or map (such as a hash table) used to store all the child nodes of that node.

[0077] Create the root node: Create a root node instance with the initial node as the root node, and initialize its basic information.

[0078] Add intermediate and bottom-level nodes: Based on the connections between nodes in the power grid, intermediate nodes and bottom-level nodes are added incrementally. This typically involves recursively or iteratively traversing the power grid topology and creating a corresponding node instance for each node.

[0079] When adding a node, you need to set the reference or pointer of its parent node to the current node and add it to the list of child nodes of the parent node.

[0080] Construct a nested two-level child node structure: For the root node and intermediate nodes, a nested two-level child node structure needs to be constructed to store and represent the power information.

[0081] The upper-level child nodes are used to store and represent the total power consumption of the area or device represented by that node. This can be achieved by adding an extra field, such as "totalElectricity", to the node class.

[0082] The lower-level child nodes are used to record and represent the power information of each branch line connected to that node in detail. This can be achieved by creating a separate node instance for each branch line and making it a child node of the current node. Each branch line node should contain the branch line number and power information.

[0083] II. Technical means Object-oriented programming: Using object-oriented programming (OOP) techniques, multi-way trees are built through features such as class definition, inheritance, encapsulation, and polymorphism. This helps achieve code modularity and reusability.

[0084] Data Structures: Use appropriate data structures to store nodes and child nodes. For example, you can use lists, arrays, or maps to store child nodes, depending on the number of nodes and the access pattern.

[0085] For nested two-level child node structures, nested lists, arrays, or maps can be used to implement them.

[0086] Use iterative algorithms to traverse and construct multi-way trees.

[0087] Database technology: If the power grid topology and power information need to be persistently stored, database technology can be considered. For example, information about nodes and child nodes can be stored in relational databases (such as MySQL) or non-relational databases (such as MongoDB).

[0088] Database technology also provides rich query and analysis functions, which helps to achieve efficient power data monitoring and analysis.

[0089] This process allows us to organize and store the power information of each node in the power grid in the form of a multi-path tree, and to update and display the data collected by sensors in real time. This will provide strong support for subsequent data analysis and processing, helping power grid operators better understand the operating status of the power grid and promptly identify and address potential problems.

[0090] In one embodiment of the present invention, based on step S3, the following will provide a possible embodiment and describe its specific implementation in a non-limiting manner.

[0091] S301. Calculate the power difference between the upper and lower child nodes of each node and record it as the power loss of the node.

[0092] In the constructed multi-path tree structure, each node (including the root node and intermediate nodes) has upper-level child nodes (representing the node's total power) and lower-level child nodes (representing the power of the node's individual lines). To calculate the power loss of a node, we need to perform the following steps: To obtain the power of the upper-level child node: First, retrieve the upper-level child node of the current node from the multi-way tree and obtain its total power data.

[0093] Calculate the total power of the lower-level child nodes: Next, traverse all the lower-level child nodes of the current node, accumulate the power data of the branch lines they store, and obtain the total power of the lower-level child nodes.

[0094] Calculate the power loss: Subtract the sum of the power of the upper-level child nodes from the power of the lower-level child nodes. The result is the power loss of the current node. This reflects the difference between the power flowing into and out of the current node, which may be due to factors such as resistance and losses in the power grid.

[0095] Record power loss: Record the calculated power loss in a certain attribute or child node of the current node for subsequent analysis and processing.

[0096] S302. Calculate the power difference between any branch line sub-node and the upper-level sub-node of the lower-level node, and save it as the line loss power of the corresponding circuit.

[0097] In a power grid, each branch line may experience some electrical loss, typically due to factors such as line resistance and poor contact. To calculate and record these line losses, we need to perform the following steps: Determine the branch line child nodes and their subordinate nodes: First, retrieve a branch line child node of the current node from the multi-way tree, and find the subordinate node connected to that branch line child node.

[0098] Get the power of the sub-node of the branch line: Retrieve the power data of the current sub-node of the branch line from the multi-way tree.

[0099] To obtain the power of the upper-level child nodes of the lower-level node: Next, retrieve the upper-level child nodes of the lower-level node from the multi-way tree and obtain their stored total power data. It is important to note that this total power data should only include the part related to the branch line child node, that is, only consider the power flowing from the branch line child node to the lower-level node.

[0100] Calculate the power loss: Subtract the power of the sub-node from the power of the upper-level sub-node of the lower-level node. The result is the power loss of that sub-line. This reflects the difference between the power flowing from the sub-node to the lower-level node and the power actually received by the lower-level node.

[0101] Storing line loss data: The calculated line loss data is stored in a database or data structure for subsequent analysis and processing. Simultaneously, line loss data can be associated with branch line sub-nodes or lower-level nodes to quickly locate the corresponding line loss data when needed.

[0102] By calculating and storing the power loss at each node and the line loss on each branch line, we can gain a more comprehensive understanding of power loss in the power grid, providing more accurate data support for energy efficiency management and fault diagnosis. Simultaneously, this data can also be used to assess the performance and health of the power grid, providing a strong basis for its optimization and upgrading.

[0103] In one embodiment of the present invention, based on step S4, the following will provide a possible embodiment and describe its specific implementation in a non-limiting manner.

[0104] S401. Calculate standard line loss power and set threshold. Collect line specifications and parameters: Line specifications include, but are not limited to, line length, conductor cross-sectional area, material type (such as copper, aluminum, etc.), and insulation class. These parameters are crucial for calculating the line's resistance, current carrying capacity, and other parameters.

[0105] Determine the standard line loss rate: The standard line loss rate is an empirical value derived from a combination of factors, including line specifications, operating environment (such as temperature and humidity), and load characteristics. It represents the percentage of electrical energy expected to be lost under normal line operating conditions.

[0106] Calculate standard line loss power: By using line specifications and standard line loss rates, combined with actual current and voltage data in the power grid, the standard line loss of each line can be calculated. This typically involves complex physical formulas and mathematical models, such as Ohm's law and Joule's law.

[0107] Set threshold: The calculated standard line loss is used as a threshold for subsequent comparison with the actual line loss. The threshold setting should take into account the grid's safety margin and economic efficiency to ensure that timely measures can be taken when abnormal line losses are detected.

[0108] S402. Traverse a multi-way tree and select node combinations. Traversing a multi-way tree: Starting from the root node, the entire multi-way tree is traversed using algorithms such as Depth-First Search (DFS) or Breadth-First Search (BFS). During the traversal, the location, power data, and connected line information of each node are recorded.

[0109] Calculate the actual line loss: For each node traversed, calculate the actual line loss between it and its neighboring nodes based on its position in the multi-way tree. This typically involves adding or subtracting node power and querying line parameters.

[0110] Compare and filter node combinations: The calculated actual line loss is compared with a previously set threshold. If the actual line loss exceeds the threshold, the node combination (including the two adjacent nodes and the line between them) is marked as abnormal.

[0111] Record and process abnormal node combinations: For the selected abnormal node combinations, record their relevant information (such as node ID, line number, actual line loss, etc.) and generate an alarm or notify relevant personnel for handling. Handling measures may include line maintenance, replacement of aging equipment, and adjustment of the power grid structure.

[0112] Based on the above embodiments, in order to further improve the positioning range of line loss anomaly location provided by the above embodiments, and as an implementable method, only anomaly assessment is required for node power loss.

[0113] Determining if a node is functioning correctly: After calculating the node's power loss, a preliminary determination is made. If the node's power loss is 0, it means that the power flowing into the node is exactly equal to the power flowing out of the node, and no power loss has occurred. In this case, the node can be determined to be in a normal state.

[0114] Query power equipment type: If the node's power loss is not zero, further analysis is required. First, query the pre-configured device list for the power equipment type corresponding to the node's ID. This device list should contain detailed information such as the ID, type, and specifications of all power equipment in the power grid, allowing for quick retrieval of relevant information when needed.

[0115] If the query fails, meaning no power equipment type corresponding to the node ID can be found, it indicates that the node may be an unknown or unregistered power equipment, or that the equipment list itself has a defect. In this case, the node can be determined as an abnormal node, and a corresponding alarm or notification can be generated for relevant personnel to handle.

[0116] Compare the maximum power loss: If the query is successful, meaning the power equipment type corresponding to the node ID is successfully obtained, it is necessary to further retrieve the maximum power loss corresponding to that power equipment type. This maximum power loss is usually an empirical value or safety threshold derived from factors such as the power equipment's specifications, operating environment, and load characteristics.

[0117] Next, the node's power loss is compared with the maximum power loss. If the node's power loss exceeds the maximum power loss, it indicates that the node's power loss has exceeded the normal range, potentially indicating equipment failure, aging wiring, poor contact, or other problems. In this case, the node can be identified as an abnormal node, and a corresponding alarm or notification can be generated for relevant personnel to handle the situation.

[0118] For power equipment identified as anomalous nodes, appropriate handling measures need to be taken. These measures may include: Perform detailed inspections and tests on the abnormal nodes to determine the specific cause of the failure.

[0119] Repair or replace faulty equipment to restore normal operation of the power grid.

[0120] Optimize and adjust the power grid structure to improve its stability and efficiency.

[0121] Training and guidance should be provided to relevant personnel to improve their ability to monitor and analyze the power grid.

[0122] In some embodiments, the distribution transformer substation abnormality branch line location system may include multiple functional modules composed of computer program segments. The computer programs for each program segment in the distribution transformer substation abnormality branch line location system may be stored in the memory of a computer device and executed by at least one processor to perform (see details). Figure 1 (Description) Function for locating abnormal line loss in distribution radio areas.

[0123] In this embodiment, the distribution substation line loss anomaly location system can be divided into multiple functional modules according to its functions, such as... Figure 7 As shown. The functional modules of system 700 may include: an association establishment module 710, a power assignment module 720, a power calculation module 730, and an anomaly location module 740. The module referred to in this invention is a series of computer program segments that can be executed by at least one processor and perform a fixed function, and are stored in memory. In this embodiment, the functions of each module will be described in detail in subsequent embodiments.

[0124] The association establishment module is used to obtain the power grid topology and sensor deployment plan of the distribution substation, and establish the association relationship between the nodes of the power grid topology and the sensor device names; The power assignment module is used to assign the power data collected by the sensor to the corresponding node based on the correlation relationship; The power calculation module is used to calculate the difference between the power data of the branch lines of a node and the total power data of the adjacent nodes based on the assigned power grid topology. An anomaly location module is used to determine that if the difference exceeds a set threshold, there is an anomaly between the node branch line and its adjacent nodes.

[0125] Optionally, as an embodiment of the present invention, the deployment scheme of the sensor includes: Construct the distribution area network structure based on the distribution area grid structure, segmented metering points, customer metering points, and total metering points of the distribution area. The electrical quantity acquisition device of the sub-line located at the line segment metering point is directly connected to the line, and then the electrical quantity data of the sub-line at the direct connection point is measured through the mutual inductance equipment; The customer metering point and the total metering point of the transformer area collect electrical quantity data through sensors, and the electrical quantity data at the line segment metering point is transmitted to the host server wirelessly by the signal transmitting device of the segment point. The interconnection of each metering point constitutes the topology of the transformer area line. The total metering point of the transformer area is connected to the line segment nodes in a three-phase manner, while the user-end metering point of the distribution transformer area is connected to the transformer area network line in a three-phase or single-phase manner.

[0126] Optionally, as an embodiment of the present invention, the association establishment module includes: The first parsing unit is used to parse the structure of the power grid topology, mark the parallel connection points as intermediate nodes, and assign IDs to the intermediate nodes. The second parsing unit is used to mark the master table as the initial node and the user terminal as the bottom node, and to assign IDs to the initial node and the bottom node. The mapping construction unit is used to establish an association between node IDs and sensor device names based on the installation locations of the sensors in the deployment scheme. The association includes a mapping between node IDs and total power sensor device names, and a mapping between node IDs + sub-line numbers and sensor device names for measuring the corresponding sub-line.

[0127] Although the present invention has been described in detail with reference to the accompanying drawings and preferred embodiments, the present invention is not limited thereto. Various equivalent modifications or substitutions can be made to the embodiments of the present invention by those skilled in the art without departing from the spirit and essence of the invention, and such modifications or substitutions should all be within the scope of the present invention. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should also be covered within the protection scope of the present invention.

Claims

1. A method for locating abnormal line losses in a distribution transformer area, characterized in that, include: Obtain the power grid topology and sensor deployment plan for the distribution substation, and establish the association between the nodes of the power grid topology and the names of the sensor devices; Based on the aforementioned correlation, the power data collected by the sensor is assigned to the corresponding node; Based on the assigned power grid topology, calculate the difference between the power data of the branch lines at each node and the total power data of the adjacent nodes; If the difference is confirmed to exceed the set threshold, it is determined that there is an anomaly between the node branch line and the adjacent node.

2. The method for locating abnormal branch lines in a distribution substation according to claim 1, characterized in that, The deployment scheme for the sensors includes: Construct the distribution area network structure based on the distribution area grid structure, segmented metering points, customer metering points, and total metering points of the distribution area. The electrical quantity acquisition device of the sub-line located at the line segment metering point is directly connected to the line, and then the electrical quantity data of the sub-line at the direct connection point is measured through the mutual inductance equipment; The customer metering point and the total metering point of the transformer area collect electrical quantity data through sensors, and the electrical quantity data at the line segment metering point is transmitted to the host server wirelessly by the signal transmitting device of the segment point. The interconnection of each metering point constitutes the topology of the transformer area line. The total metering point of the transformer area is connected to the line segment nodes in a three-phase manner, while the user-end metering point of the distribution transformer area is connected to the transformer area network line in a three-phase or single-phase manner.

3. The method for locating abnormal branch lines in a distribution substation according to claim 1, characterized in that, Obtain the power grid topology and sensor deployment plan for the distribution substation, and establish the association between the nodes of the power grid topology and the sensor device names, including: Analyze the structure of the power grid topology, mark the parallel connection points as intermediate nodes, and assign IDs to the intermediate nodes; Mark the master table as the initial node and the user table as the bottom node, and assign IDs to the initial node and the bottom node; Based on the installation location of the sensors in the deployment scheme, establish an association between node IDs and sensor device names. The association includes a mapping between node IDs and the total power sensor device name, and a mapping between node IDs + sub-line numbers and the sensor device names for measuring the corresponding sub-line.

4. The method for locating abnormal branch lines in a distribution substation according to claim 3, characterized in that, Based on the aforementioned correlation, the power data collected by the sensor is assigned to the corresponding node, including: Build a multi-way tree with the initial node as the root node; Construct a nested two-level child node structure for the root node and intermediate nodes in the multi-way tree. The upper-level child node represents the total power of the node, and the lower-level child node represents the power of the node's branch lines. Based on the aforementioned association, the power data collected by the sensor is assigned to the corresponding node or child node of the multi-path tree.

5. The method for locating abnormal branch lines in a distribution substation according to claim 4, characterized in that, Based on the assigned power grid topology, the difference between the power consumption data of each node's branch line and the total power consumption data of its neighboring nodes is calculated, including: Calculate the power difference between the upper and lower level child nodes of each node in the multi-way tree, and record the power difference as the power loss of the node; Calculate the power difference between any branch node of any node in the multi-path tree and the upper-level child node of the lower-level node, and save the power difference as the line loss power of the corresponding circuit.

6. The method for locating abnormal branch lines in a distribution substation according to claim 5, characterized in that, If the difference exceeds a set threshold, it is determined that there is an anomaly between the node branch line and its adjacent nodes, including: The standard line loss power is calculated based on the line specification parameters and standard line loss rate between two adjacent nodes, and the standard line loss power is set as a threshold. Traverse the multi-way tree and filter out the node combinations where the line loss exceeds the corresponding threshold.

7. The method for locating abnormal branch lines in a distribution substation according to claim 5, characterized in that, The method further includes: If the power loss of a node is 0, then the node is considered to be normal. If the power loss of a node is not 0, the power equipment type corresponding to the node's ID is queried from the pre-configured device list. If the query fails, the node is determined to be an abnormal node. If the query succeeds, the maximum power loss corresponding to the power equipment type is retrieved, and the node's power loss is compared with the maximum power loss. If the node's power loss exceeds the maximum power loss, the node is determined to be an abnormal node.

8. A distribution station area abnormal line loss sub-line location system, characterized in that, include: The association establishment module is used to obtain the power grid topology and sensor deployment plan of the distribution substation, and establish the association relationship between the nodes of the power grid topology and the sensor device names; The power assignment module is used to assign the power data collected by the sensor to the corresponding node based on the correlation relationship; The power calculation module is used to calculate the difference between the power data of the branch lines of a node and the total power data of the adjacent nodes based on the assigned power grid topology. An anomaly location module is used to determine that if the difference exceeds a set threshold, there is an anomaly between the node branch line and its adjacent nodes.

9. The distribution substation line loss anomaly location system according to claim 8, characterized in that, The deployment scheme for the sensors includes: Construct the distribution area network structure based on the distribution area grid structure, segmented metering points, customer metering points, and total metering points of the distribution area. The electrical quantity acquisition device of the sub-line located at the line segment metering point is directly connected to the line, and then the electrical quantity data of the sub-line at the direct connection point is measured through the mutual inductance equipment; The customer metering point and the total metering point of the transformer area collect electrical quantity data through sensors, and the electrical quantity data at the line segment metering point is transmitted to the host server wirelessly by the signal transmitting device of the segment point. The interconnection of each metering point constitutes the topology of the transformer area line. The total metering point of the transformer area is connected to the line segment nodes in a three-phase manner, while the user-end metering point of the distribution transformer area is connected to the transformer area network line in a three-phase or single-phase manner.

10. The distribution substation line loss anomaly location system according to claim 8, characterized in that, The association establishment module includes: The first parsing unit is used to parse the structure of the power grid topology, mark the parallel connection points as intermediate nodes, and assign IDs to the intermediate nodes. The second parsing unit is used to mark the master table as the initial node and the user terminal as the bottom node, and to assign IDs to the initial node and the bottom node. The mapping construction unit is used to establish an association between node IDs and sensor device names based on the installation locations of the sensors in the deployment scheme. The association includes a mapping between node IDs and total power sensor device names, and a mapping between node IDs + sub-line numbers and sensor device names for measuring the corresponding sub-line.

Images