Radial active power distribution network topology change determination method and system based on branch power directed graph adjacency matrix, and storage medium

Abstract

The invention discloses a radial active power distribution network topology change determination method and system based on a branch power directed graph adjacency matrix, and a storage medium. The method comprises the following steps: S1, obtaining measurement real-time data based on a known topology structure of an active power distribution network; s2, preliminarily judging the access position and feeder line information of a distributed power supply possibly causing reverse power flow in a period; s3, calculating the network loss of the line on the feeder line, and calculating the reverse times of the power flow and a reverse judgment matrix in combination with the load power; s4, judging the access position and feeder line information of the distributed power supply possibly causing reverse power flow in one period; and S5, inputting node voltage amplitude measurement data, and judging whether the topology is changed or not. A computer program for executing the method is stored in the storage medium. The system is used for implementing the method. The method has the advantages of simple principle, wide application range, high accuracy, good stability and the like.

Description

Technical Field

[0001] The present invention mainly relates to the field of power systems, and in particular to a method, system and storage medium for determining topology changes of a radial active distribution network based on an adjacency matrix of a branch power directed graph. Background Art

[0002] With the in-depth implementation of the dual carbon goals, distributed power sources with renewable energy as the core are being connected to the distribution network on a large scale. This trend poses severe challenges to the operation of the distribution network, especially the randomness and volatility of renewable energy output, which can easily cause voltage fluctuations and over-limit problems, thereby affecting the stability of the power grid and the quality of power supply.

[0003] In order to effectively meet this challenge and ensure that the distribution network can efficiently absorb high-penetration renewable energy while reducing the negative impact of the uncertainty of renewable energy output, the topology of the distribution network can be flexibly adjusted to optimize the distribution of power flows, improve the flexibility and robustness of the grid, and thus better adapt to the uncertainty of high-proportion renewable energy output.

[0004] To ensure efficient and reliable operation of the distribution network, real-time topological awareness is crucial. This awareness not only provides users with a comprehensive view of the distribution system's current operating status and performance characteristics, enabling accurate assessment of the system's safety margin and stability, but also lays a solid foundation for coping with complex and changing external environments in the future.

[0005] The ability to perceive topological conditions in real time is crucial when facing challenges such as power outages and tower collapses caused by extreme weather, severe overloads due to surging load demand, and overvoltages caused by fluctuations in the output of distributed generation (DGs). This real-time perception enables a series of targeted measures to improve system reliability. These may include adjusting the grid structure to optimize power flow distribution, increasing the redundancy of key equipment to enhance fault tolerance, and utilizing intelligent control algorithms to dynamically adjust system parameters. These measures ensure that the distribution system maintains efficient and stable operation despite various complex challenges, providing users with a continuous and reliable power supply.

[0006] However, the principles of existing real-time topology perception technologies vary, and their accuracy, reliability, and applicable scenarios all have some shortcomings in practice. Summary of the Invention

[0007] The technical problem to be solved by the present invention is: in response to the technical problems existing in the prior art, the present invention provides a radial active distribution network topology change determination method, system and storage medium based on the branch power directed graph adjacency matrix with simple principle, wide application range, high accuracy and good stability.

[0008] In order to solve the above technical problems, the present invention adopts the following technical solutions: A method for determining topology changes in a radial active power distribution network based on a branch power directed graph adjacency matrix comprises: Acquire real-time measurement data based on the known topology of the active distribution network; Analyze the collected real-time data to preliminarily determine the location and feeder information of distributed power sources that may cause power flow reversal within a cycle; Based on the location of the distributed generation and the feeder information, the network loss of the feeder line is calculated. Combined with the load power, the number of power flow reversals and the reversal decision matrix are calculated. Based on the obtained power flow reverse times and reverse decision matrix, the nodes close to the root node are the power outflow nodes, and the nodes far from the root node are the power inflow nodes, and the branch power directed adjacency matrix is ​​constructed. , combined with the reverse flow to determine the positive and negative nature of the matrix elements , update the directed adjacency matrix parameters in real time, and then construct the branch power directed adjacency matrix ; A topology change determination index and method are constructed based on the branch power directed adjacency matrix. The node voltage amplitude measurement data is input to determine whether the topology has changed.

[0009] As a further improvement of the present invention: in the process of obtaining and measuring real-time data, a known topological structure of the active distribution network is obtained, and a measuring device is used to collect real-time data at a certain time interval within a cycle; the real-time data may include but is not limited to the voltage amplitude data of each node. , load power And the output power of distributed power generation .

[0010] As a further improvement of the present invention: in the process of analyzing the collected real-time data, the load power in the collected real-time data is And the output power of distributed power generation , make the difference between the two To get the deviation power , by judging Based on the result, record the feeders connected to the distributed power source that may cause the reverse flow. and nodes Location.

[0011] As a further improvement of the present invention, the process of analyzing the collected real-time data includes: if , any sampling interval node within a cyclei The output of the distributed power source on the feeder is less than the load power. The distributed power source will not cause the power flow to reverse, and the feeder will not be recorded. and nodes ; If exists , in one cycle, the distributed power may cause the power flow to reverse, record the feeder and nodes ; Through the above judgment, all distributed power sources in the active distribution network are screened, and the feeders where power flow reverse may occur and the nodes where distributed power sources are connected are recorded.

[0012] As a further improvement of the present invention: in the process of calculating the reverse number of power flow and the reverse determination matrix, according to the feeder The number of nodes and nodes on Position, combined with the load power and power output on the feeder, calculate each feeder Loss on ; Then calculate the number of power flow reversals caused by distributed power based on network loss and load power k , determine the power flow reverse determination matrix according to the reverse number .

[0013] As a further improvement of the present invention, the process of calculating the number of power flow reverses and the reverse determination matrix includes: According to the feeder Number of loads M , with the nodes closest to the root node as the first node, numbered 1, 2, 3, ..., M、 Nodes where distributed power sources are connected ( ) position, combined with the load power on the feeder and power output , calculate the feeder according to the following formula (1) Upper line loss ; (1) Where: Indicates line ij The resistance value; Calculate the number of power flow reversals and the power flow reversal determination matrix based on line loss, load power, and distributed generation output ,include: If the output of the distributed power source satisfies the following formula (2), it means that the power generated by the distributed power source is insufficient to support the load demand of the subsequent nodes, the flow direction has not changed, and there is no flow reverse line on the feeder. Therefore, the power from node 1 to node M All elements of the decision matrix , represents that all branch powers flow from the root node to the end node; (2) If the output of the distributed power source satisfies the following formula (3), it means that the power generated by the distributed power source can support the node To Node M All load demands between, the flow reverse occurs k times; at the same time, the node To Node The power flow in the line between the two is reversed, and the matrix elements are determined. , there is no reverse flow on other lines, and the matrix element ; (3).

[0014] As a further improvement of the present invention: constructing a branch power directed adjacency matrix And construct the branch power directed adjacency matrix The process includes: Based on the known topology of the substation area and assuming that the branch power on all feeders flows from the root node to the terminal node, a directed adjacency matrix of branch power is constructed. , as follows: If the node i With node j If the lines between ; If the node i With node j The lines between them are connected, and the nodes close to the root node in the line are i , the node far away from the root node j ,but ,on the contrary ; Based on the branch power directed adjacency matrix Decision matrix opposite to the trend , construct the branch power directed adjacency matrix as follows: make t is equal to 1, ; For feeders with reverse flow , combined with the reverse flow to determine the positive and negative elements of the matrix, update the adjacency matrix ,if line ij No power flow reversal occurs, and the branch power directed adjacency matrix does not need to be updated. line ij When power flow reverses, update the branch power directed adjacency matrix ;make Repeat the above steps until t>T, get the directed adjacency matrix of branch power within a cycle .

[0015] As a further improvement of the present invention, the process of determining whether the topology has changed includes: Get the measured value of the voltage amplitude at each node ,make t is equal to 1; Calculate the node voltage amplitude matrix at each moment. The specific formula is as follows:

[0016] Where: is the voltage amplitude matrix; In the current section, if any i , j Both , indicating that the topology has not changed, let , repeat the above steps, when t>T Stop repeating when ; otherwise, if there is i , j make , indicating that the current power flow direction is inconsistent with the power flow direction of the branch power directed adjacency matrix, the judgment stops, and the active distribution network topology changes.

[0017] The present invention further provides a storage medium, which can be read by a computer or a processor and stores a computer program for executing any one of the above methods.

[0018] The present invention further provides a radial active power distribution network topology change determination system based on the branch power directed graph adjacency matrix, which includes: The first unit is used to obtain measurement real-time data based on a known topology of the active distribution network; The second unit is used to analyze the collected real-time data and preliminarily determine the location and feeder information of distributed power sources that may cause power flow reversal within a cycle; The third unit is used to calculate the network loss of the feeder line according to the location of the distributed power supply and the feeder information, and calculate the power flow reverse number and reverse determination matrix in combination with the load power; The fourth unit is used to construct a branch power directed adjacency matrix based on the obtained power flow reverse times and reverse decision matrix, with the nodes close to the root node as power outflow nodes and the nodes far from the root node as power inflow nodes. , combined with the reverse flow to determine the positive and negative nature of the matrix elements , update the directed adjacency matrix parameters in real time, and then construct the branch power directed adjacency matrix ; The fifth unit is used to construct a topology change determination index and determination method based on the branch power directed adjacency matrix, input node voltage amplitude measurement data, and determine whether the topology has changed.

[0019] Compared with the prior art, the advantages of the present invention are: 1. The present invention's method, system, and storage medium for determining topological changes in a radial active distribution network based on a branch power directed graph adjacency matrix offer a simple principle, wide applicability, high accuracy, and excellent stability. By innovatively combining a branch power directed graph with reverse power flow and an adjacency matrix, the method enables real-time monitoring of topological changes in the active distribution network. This method not only accurately captures the connectivity relationships in traditional topologies but also, by incorporating power flow direction, precisely reflects the impact of changes in distributed power generation output on power flow direction, thereby improving the accuracy of topological change determination.

[0020] 2. The present invention's method, system, and storage medium for determining topological changes in a radial active distribution network based on the adjacency matrix of a branch power directed graph address the potential for misjudgment caused by power flow reversal after the connection of distributed power sources. This method, which considers line losses, determines changes in power flow direction based on real-time monitored load power and distributed power output data, combined with network loss results in the line. This effectively avoids topological misjudgments caused by power flow reversal and enhances the robustness and flexibility of the determination method. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a schematic diagram of the principle of the present invention. DETAILED DESCRIPTION

[0022] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0023] like Figure 1 As shown, the present invention discloses a method for determining topology changes of a radial active distribution network based on the adjacency matrix of a branch power directed graph, the process of which includes: Acquire real-time measurement data based on the known topology of the active distribution network; That is, in a specific example, a known topology of the active distribution network can be obtained first, and then the real-time data can be collected using a measuring device with a sampling frequency of one period (e.g., one hour) and at a certain time interval (e.g., 15 minutes as a sampling interval) within the period; The real-time data may include but is not limited to voltage amplitude data of each node. , load power And the output power of distributed power generation .

[0024] Analyze the collected real-time data to preliminarily determine the location and feeder information of distributed power sources that may cause power flow reversal within a cycle; That is, in a specific example, based on the load power in the real-time data collected above And the output power of distributed power generation , make the difference between the two To get the deviation power , by judging Based on the result, record the feeders connected to the distributed power source that may cause the reverse flow. and nodes Location.

[0025] According to the location of the distributed power supply and the feeder information, the network loss of the feeder line is calculated, and the load power is combined to calculate the number of power flow reverses and the reverse decision matrix; that is, according to the location obtained above, the number of reverses of each feeder is calculated. Loss on , and finally obtain the reverse times of the power flow and the reverse decision matrix; That is, in the specific example, according to the feeder The number of nodes and nodes on Position, combined with the load power and power output on the feeder, calculate each feeder Loss on ; Furthermore, the number of power flow reversals caused by distributed power generation is calculated based on network loss and load power. k , determine the power flow reverse determination matrix according to the reverse number .

[0026] Based on the obtained power flow reverse times and reverse decision matrix, the nodes close to the root node are the power outflow nodes, and the nodes far from the root node are the power inflow nodes, and the branch power directed adjacency matrix is ​​constructed. , combined with the reverse flow to determine the positive and negative nature of the matrix elements , update the directed adjacency matrix parameters in real time, and then construct the branch power directed adjacency matrix ; A topology change determination index and method are constructed based on the branch power directed adjacency matrix. The node voltage amplitude measurement data is input to determine whether the topology has changed.

[0027] As a preferred embodiment, the process of analyzing the collected real-time data may further include: if , any sampling interval node within a cycle i The output of the distributed power source on the feeder is less than the load power. The distributed power source will not cause the power flow to reverse, and the feeder will not be recorded. and nodes .

[0028] If exists , in one cycle, the distributed power may cause the power flow to reverse, record the feeder and nodes .

[0029] Through the above judgment, all distributed power sources in the active distribution network are screened, and the feeders where power flow reverse may occur and the nodes where distributed power sources are connected are recorded.

[0030] As a preferred embodiment, the process of calculating the number of power flow reverse times and the reverse decision matrix may further include: According to the feeder Number of loads M , with the nodes closest to the root node as the first node, numbered 1, 2, 3, ..., M、 Nodes where distributed power sources are connected ( ) position, combined with the load power on the feeder and power output , calculate the feeder according to formula (1) Upper line loss ; (1) Where: Indicates line ij resistance value.

[0031] Calculate the number of power flow reversals and the power flow reversal determination matrix based on line loss, load power, and distributed generation output , as follows: If the output of the distributed power source satisfies formula (2), it means that the power generated by the distributed power source is insufficient to support the load demand of the subsequent nodes, the flow direction has not changed, and there is no flow reverse line on the feeder. Therefore, the power from node 1 to node M All elements of the decision matrix , representing that all branch powers flow from the root node to the end node.

[0032] (2) (3) If the output of the distributed power source satisfies formula (3), it means that the power generated by the distributed power source can support the node To Node M All load demands between, the flow reverse occurs k times. At the same time, the node To Node The power flow in the line between the two is reversed, and the matrix elements are determined. , there is no reverse flow on other lines, and the matrix element .

[0033] As a preferred embodiment, a branch power directed adjacency matrix is ​​constructed. And construct the branch power directed adjacency matrix The process may further include: Based on the known topology of the substation area and assuming that the branch power on all feeders flows from the root node to the terminal node, a directed adjacency matrix of branch power is constructed. , as follows: If the node i With node j If the lines between ; If the node i With node j The lines between them are connected, and the nodes close to the root node in the line are i , the node far away from the root node j ,but ,on the contrary .

[0034] Based on the branch power directed adjacency matrix Decision matrix opposite to the trend , construct the branch power directed adjacency matrix as follows: make t is equal to 1, ; For feeders with reverse flow , combined with the reverse flow to determine the positive and negative elements of the matrix, update the adjacency matrix ,if line ij No power flow reversal occurs, and the branch power directed adjacency matrix does not need to be updated. line ij When power flow reverses, update the branch power directed adjacency matrix .make Repeat the above steps until t>T , get the directed adjacency matrix of branch power within a cycle .

[0035] As a preferred embodiment, the process of determining whether the topology has changed may further include: Get the measured value of the voltage amplitude at each node ,make t is equal to 1; Calculate the node voltage amplitude matrix at each moment. The specific formula is as follows:

[0036] Where: is the voltage amplitude matrix; In the current section, if any i , j Both , indicating that the topology has not changed, let , repeat the above steps, when t>T Stop repeating when ; otherwise, if there is i , j make , indicating that the current power flow direction is inconsistent with the power flow direction of the branch power directed adjacency matrix, the judgment stops, and the active distribution network topology changes.

[0037] The present invention further provides a storage medium, which can be read by a computer or a processor and stores a computer program for executing the above method.

[0038] The present invention further provides a radial active power distribution network topology change determination system based on the branch power directed graph adjacency matrix, which includes: The first unit is used to obtain measurement real-time data based on a known topology of the active distribution network; The second unit is used to analyze the collected real-time data and preliminarily determine the location and feeder information of distributed power sources that may cause power flow reversal within a cycle; The third unit is used to calculate the network loss of the feeder line according to the location of the distributed power supply and the feeder information, and calculate the power flow reverse number and reverse determination matrix in combination with the load power; The fourth unit is used to construct a branch power directed adjacency matrix based on the obtained power flow reverse times and reverse decision matrix, with the nodes close to the root node as power outflow nodes and the nodes far from the root node as power inflow nodes. , combined with the reverse flow to determine the positive and negative nature of the matrix elements , update the directed adjacency matrix parameters in real time, and then construct the branch power directed adjacency matrix ; The fifth unit is used to construct a topology change determination index and determination method based on the branch power directed adjacency matrix, input node voltage amplitude measurement data, and determine whether the topology has changed.

[0039] Those skilled in the art will appreciate that the above-mentioned embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application may take the form of a computer program product implemented on one or more computer-readable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, may be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 These computer program instructions can also be stored in a computer-readable memory that can guide a computer or other programmable data processing device to work in a specific way, so that the instructions stored in the computer-readable memory produce a product including the instruction device, which implements the function specified in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0040] The above are merely preferred embodiments of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions based on the principles of the present invention are within the scope of protection of the present invention. It should be noted that for those skilled in the art, various improvements and modifications that do not depart from the principles of the present invention should be considered within the scope of protection of the present invention.

Claims

1. A method for determining topology changes in a radial active distribution network based on the adjacency matrix of a branch power directed graph, characterized in that: include: Acquire real-time measurement data based on the known topology of the active distribution network; Analyze the collected real-time data to preliminarily determine the location and feeder information of distributed power sources that may cause power flow reversal within a cycle; Based on the location of the distributed generation and the feeder information, the network loss of the feeder line is calculated. Combined with the load power, the number of power flow reversals and the reversal decision matrix are calculated. Based on the obtained power flow reverse times and reverse decision matrix, the nodes close to the root node are the power outflow nodes, and the nodes far from the root node are the power inflow nodes, and the branch power directed adjacency matrix is ​​constructed. , combined with the reverse flow to determine the positive and negative nature of the matrix elements , update the directed adjacency matrix parameters in real time, and then construct the branch power directed adjacency matrix ; A topology change determination index and method are constructed based on the branch power directed adjacency matrix. The node voltage amplitude measurement data is input to determine whether the topology has changed.

2. The radial active power distribution network topology change determination method based on the branch power directed graph adjacency matrix according to claim 1 is characterized in that: In the process of obtaining real-time data, the known topology of the active distribution network is obtained, and the real-time data is collected by using a measuring device at a certain sampling frequency within a period; the real-time data may include but is not limited to the voltage amplitude data of each node. , load power And the output power of distributed power generation .

3. The radial active power distribution network topology change determination method based on the branch power directed graph adjacency matrix according to claim 2, characterized in that: During the analysis process based on the collected real-time data, the load power in the collected real-time data And the output power of distributed power generation , make the difference between the two To get the deviation power , by judging Based on the result, record the feeders connected to the distributed power source that may cause the reverse flow. and nodes Location.

4. The method for determining topology changes of a radial active power distribution network based on the adjacency matrix of a branch power directed graph according to claim 3, characterized in that: The process of analyzing collected real-time data includes: if , any sampling interval node within a cycle i The output of the distributed power source on the feeder is less than the load power. The distributed power source will not cause the power flow to reverse, and the feeder will not be recorded. and nodes ; If exists , in one cycle, the distributed power may cause the power flow to reverse, record the feeder and nodes ; Through the above judgment, all distributed power sources in the active distribution network are screened, and the feeders where power flow reverse may occur and the nodes where distributed power sources are connected are recorded.

5. The method for determining topology changes of a radial active power distribution network based on the adjacency matrix of a branch power directed graph according to any one of claims 1 to 4, characterized in that: In the process of calculating the reverse times and reverse decision matrix of the power flow, according to the feeder The number of nodes and nodes on Position, combined with the load power and power output on the feeder, calculate each feeder Loss on ; Then calculate the number of power flow reversals caused by distributed power based on network loss and load power k , determine the power flow reverse determination matrix according to the reverse number .

6. The method for determining topology changes of a radial active power distribution network based on the adjacency matrix of a branch power directed graph according to claim 5, characterized in that: The process of calculating the number of power flow reverses and the reverse decision matrix includes: According to the feeder Number of loads M , with the nodes closest to the root node as the first node, numbered 1, 2, 3, ..., M、 Nodes where distributed power sources are connected ( ) position, combined with the load power on the feeder and power output , calculate the feeder according to the following formula Upper line loss ; Where: Indicates line ij The resistance value; Calculate the number of power flow reversals and the power flow reversal determination matrix based on line loss, load power, and distributed generation output ,include: If the output of the distributed power source satisfies the following formula, it means that the power generated by the distributed power source is insufficient to support the load demand of the subsequent nodes, the flow direction has not changed, and there is no flow reverse line on the feeder. Therefore, the power from node 1 to node M All elements of the decision matrix , represents that all branch powers flow from the root node to the end node; If the distributed power output satisfies the following formula, it means that the power generated by the distributed power can support the node To Node M All load demands between, the flow reverse occurs k times; at the same time, the node To Node The power flow in the line between the two is reversed, and the matrix elements are determined. , there is no reverse flow on other lines, and the matrix element ; 。 7. The method for determining topology changes in a radial active power distribution network based on a branch power directed graph adjacency matrix according to any one of claims 1 to 4, characterized in that: Constructing a directed adjacency matrix of branch power And construct the branch power directed adjacency matrix The process includes: Based on the known topology of the substation area and assuming that the branch power on all feeders flows from the root node to the terminal node, a directed adjacency matrix of branch power is constructed. , as follows: If the node i With node j If the lines between ; If the node i With node j The lines between them are connected, and the nodes close to the root node in the line are i , the node far away from the root node j ,but ,on the contrary ; Based on the branch power directed adjacency matrix Decision matrix opposite to the trend , construct the branch power directed adjacency matrix as follows: make t is equal to 1, ; For feeders with reverse flow , combined with the reverse flow to determine the positive and negative elements of the matrix, update the adjacency matrix ,if line ij No power flow reversal occurs, and the branch power directed adjacency matrix does not need to be updated. line ij When power flow reverses, update the branch power directed adjacency matrix ;make Repeat the above steps until t>T , get the directed adjacency matrix of branch power within a cycle .

8. The method for determining topology changes in a radial active power distribution network based on the adjacency matrix of a branch power directed graph according to any one of claims 1 to 4, characterized in that: The process of determining whether the topology has changed includes: Get the measured value of the voltage amplitude at each node ,make t is equal to 1; Calculate the node voltage amplitude matrix at each moment. The specific formula is as follows: Where: is the voltage amplitude matrix; In the current section, if any i , j Both , indicating that the topology has not changed, let , repeat the above steps, when t>T Stop repeating when ; otherwise, if there is i , j make , indicating that the current power flow direction is inconsistent with the power flow direction of the branch power directed adjacency matrix, the judgment stops, and the active distribution network topology changes.

9. A storage medium capable of being read by a computer or a processor, characterized in that: The storage medium stores a computer program for executing any one of the methods in claims 1-8.

10. A radial active distribution network topology change determination system based on the branch power directed graph adjacency matrix, characterized in that: include: The first unit is used to obtain measurement real-time data based on a known topology of the active distribution network; The second unit is used to analyze the collected real-time data and preliminarily determine the location and feeder information of distributed power sources that may cause power flow reversal within a cycle; The third unit is used to calculate the network loss of the feeder line according to the location of the distributed power supply and the feeder information, and calculate the power flow reverse number and reverse determination matrix in combination with the load power; The fourth unit is used to construct a branch power directed adjacency matrix based on the obtained power flow reverse times and reverse decision matrix, with the nodes close to the root node as power outflow nodes and the nodes far from the root node as power inflow nodes. , combined with the reverse flow to determine the positive and negative nature of the matrix elements , update the directed adjacency matrix parameters in real time, and then construct the branch power directed adjacency matrix ; The fifth unit is used to construct a topology change determination index and determination method based on the branch power directed adjacency matrix, input node voltage amplitude measurement data, and determine whether the topology has changed.

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