Method, device, equipment and storage medium for dynamic identification of phase sequence topology in low-voltage substation area

Abstract

The present invention discloses a method, device, equipment and storage medium for dynamic identification of phase sequence topology of low-voltage substations, and relates to the field of distribution network automation technology. Due to the three-phase imbalance problem in the actual operation of the substation, users frequently adjust the phase and the phase sequence topology changes greatly. Starting from the electrical characteristics, the present invention designs a method for dynamic identification of low-voltage substation topology based on data analysis according to the changing laws of the characteristics of electrical quantity parameters such as voltage and current when the low-voltage substation topology changes, which can effectively and timely detect changes in the phase sequence topology of the substation. In addition, the method emphasizes the dynamic identification of substation topology through data mining, without the need to install a large number of additional monitoring equipment or modules, and has good economic and practicality.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution network automation, and in particular to a method, device, equipment and storage medium for dynamically identifying phase sequence topology of a low-voltage substation. Background Art

[0002] As low-voltage distribution networks transition to digitalization, power grids have proposed the distribution Internet of Things (IoT) as a solution for distribution substation services. The continued expansion of metering automation systems has provided strong support for the refined management of low-voltage distribution substations. The topology of the distribution network is the foundation for applications such as line loss analysis, fault diagnosis, power flow calculation, and three-phase balancing. Therefore, implementing the fundamental function of physical topology analysis in low-voltage distribution substations is crucial. Physical topology analysis of low-voltage distribution substations primarily involves static topology identification and change analysis. Currently, topology change analysis primarily involves manual management and equipment monitoring.

[0003] In existing technologies, manual management involves manually recording and reporting changes to the substation topology through the constraints of business management processes. However, relying on manual methods is time-consuming and labor-intensive, inefficient, and difficult to guarantee accuracy. Additionally, equipment monitoring involves external devices with carrier signal transmission and reception capabilities, which identify topology changes through carrier signal recognition. This involves high investment costs and places significant operational and maintenance pressures. In reality, when substation topology changes occur, the power network flow changes, which are reflected in the characteristics of electrical quantity data. However, the current reliance on manual management or equipment monitoring to determine topology changes presents technical issues such as low efficiency and high costs. Summary of the Invention

[0004] The purpose of the present invention is to provide a method, device, equipment and storage medium for dynamic identification of phase sequence topology in a low-voltage substation, so as to solve the problems of low efficiency and high cost when relying on manual management or equipment monitoring to carry out topology change judgment.

[0005] To achieve the above objectives, the present invention provides a method for dynamically identifying phase sequence topology of a low-voltage transformer substation, comprising:

[0006] Obtaining a first voltage and a first active power of a low-voltage busbar of a distribution transformer in a low-voltage area, and obtaining a second voltage and a second active power of the same frequency within a preset period of all user meters in the low-voltage area;

[0007] Obtaining a first active current according to the first voltage and the first active power, and obtaining a second active current according to the second voltage and the second active power;

[0008] Setting sliding window data according to the first voltage, the first active current, the second voltage, and the second active current;

[0009] Calculate the current deviation between the meter and the corresponding phase bus based on the sliding window data. If the deviation is greater than a preset current deviation threshold, it is determined that the phase sequence topology of the substation has changed. If the deviation is less than the preset current deviation threshold, cluster analysis is performed on the voltage sequence of the meter to determine the voltage deviation.

[0010] According to the voltage deviation judgment, it is determined whether there are out-of-phase meters in the same cluster. If so, it is determined that the phase sequence topology of the substation has changed; if not, it is determined that the phase sequence topology of the substation has not changed.

[0011] Preferably, the first active current is obtained according to the first voltage and the first active power, and the second active current is obtained according to the second voltage and the second active power. Specific formulas include:

[0012]

[0013]

[0014] Among them, P t z is the active power value of the z-phase busbar of the distribution transformer at time t, U t z is the voltage value of the z-phase busbar of the distribution transformer at time t, A, B, and C represent the phase sequence of the low-voltage busbar, P t m is the active power value of user meter m at time t, U t m is the voltage value of user meter m at time t, and M is the number of power supply users in the substation.

[0015] Preferably, the voltage deviation judgment specifically includes:

[0016] The Kmeans clustering algorithm is used to perform cluster analysis on the voltage series of the electric meter under different cluster number setting values. The Davidson-Borg index of the clustering results under different cluster number setting values ​​is calculated. The cluster number corresponding to the minimum index value is selected as the optimal cluster number to obtain the best clustering result.

[0017] According to the optimal clustering result and the corresponding phase sequence topology information, it is determined whether there are out-of-phase electricity meters in the same cluster.

[0018] Preferably, the calculation formula used for the Davidson-Borging index is:

[0019]

[0020] Among them, λ DBI represents the Davidson-Boulding index, K is a positive integer, m i is the cluster C i Number of electric meters, mj is the cluster C j The number of electric meters, x i Indicates the cluster C after clustering convergence i The second voltage time series data of each meter in x j Indicates the cluster C after clustering convergence j The second voltage time series data of each meter in μ i Indicates the cluster C after clustering convergence i The voltage time series data of the cluster center, μ j Indicates the cluster C after clustering convergence j The voltage time series data of the cluster center.

[0021] Preferably, the preset current deviation threshold is 5% to 20%.

[0022] The present invention also provides a low-voltage substation phase sequence topology dynamic identification device, comprising:

[0023] A data acquisition module is used to obtain the first voltage and first active power of the low-voltage busbar of the distribution transformer in the low-voltage area, and obtain the second voltage and second active power of the same frequency within a preset period of all user meters in the low-voltage area;

[0024] an active current calculation module, configured to obtain a first active current according to the first voltage and the first active power, and to obtain a second active current according to the second voltage and the second active power;

[0025] a data analysis module, configured to set sliding window data according to the first voltage, the first active current, the second voltage, and the second active current;

[0026] A current deviation judgment module is used to calculate the current deviation between the meter and the corresponding phase bus according to the sliding window data, and if the deviation is greater than a preset current deviation threshold, it is determined that the phase sequence topology of the substation has changed;

[0027] The voltage deviation judgment module is used to perform cluster analysis on the voltage sequence of the meter to make a voltage deviation judgment when the current deviation between the meter and the corresponding phase bus is less than a preset current deviation threshold, and based on the voltage deviation judgment, determine whether there are out-of-phase meters in the same cluster. If so, it is determined that the phase sequence topology of the substation has changed; if not, it is determined that the phase sequence topology of the substation has not changed.

[0028] Preferably, the active current calculation module uses the following formula:

[0029]

[0030]

[0031] Among them, P t z is the active power value of the z-phase busbar of the distribution transformer at time t, U t z is the voltage value of the z-phase busbar of the distribution transformer at time t, A, B, and C represent the phase sequence of the low-voltage busbar, P t m is the active power value of user meter m at time t, U t m is the voltage value of user meter m at time t, and M is the number of power supply users in the substation.

[0032] Preferably, the voltage deviation judgment module is specifically used to use the Kmeans clustering algorithm to perform cluster analysis on the voltage sequence of the electricity meter under different cluster number setting values, calculate the Davidson-Borg index of the clustering results under different cluster number setting values, screen the cluster number corresponding to the minimum index value as the optimal cluster number, and obtain the best clustering result; based on the optimal clustering result and the corresponding phase sequence topology information, determine whether there are out-of-phase electricity meters in the same cluster.

[0033] The present invention also provides a computer terminal device comprising one or more processors and a memory. The memory is coupled to the processor and is configured to store one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors implement the method for dynamically identifying phase sequence topology of a low-voltage substation as described in any of the above embodiments.

[0034] The present invention also provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the method for dynamically identifying the phase sequence topology of a low-voltage substation as described in any of the above embodiments is implemented.

[0035] Compared with the prior art, the present invention has the following beneficial effects:

[0036] The present invention discloses a method for dynamically identifying the phase sequence topology of a low-voltage substation, comprising: obtaining a first voltage and a first active power of a distribution transformer low-voltage bus in the low-voltage substation, and obtaining a second voltage and a second active power of the same frequency within a preset period of all user meters in the low-voltage substation; obtaining a first active current according to the first voltage and the first active power, and obtaining a second active current according to the second voltage and the second active power; setting sliding window data according to the first voltage, the first active current, the second voltage and the second active current; calculating the current deviation between the meter and the corresponding phase bus according to the sliding window data, and if the deviation is greater than a preset current deviation threshold, determining that the phase sequence topology of the substation has changed, and if the deviation is less than the preset current deviation threshold, performing cluster analysis on the voltage sequence of the meter to perform voltage deviation judgment; judging whether there are out-of-phase meters in the same cluster based on the voltage deviation judgment, and if so, determining that the phase sequence topology of the substation has changed, and if not, determining that the phase sequence topology of the substation has not changed. Based on electrical characteristics and the changing patterns of electrical parameters such as voltage and current when low-voltage substation topology changes, this paper designs a method for dynamic identification of low-voltage substation topology based on data analysis. This method can effectively and promptly detect changes in substation phase sequence topology. Furthermore, this method emphasizes dynamic identification of substation topology through data mining, eliminating the need for extensive additional monitoring equipment or modules, making it economical and practical. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solution of the present invention, the following is a brief introduction to the drawings required for use in the implementation. Obviously, the drawings described below are only some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0038] Figure 1 This is a flow chart of a method for dynamically identifying phase sequence topology in a low-voltage substation area provided by an embodiment of the present invention;

[0039] Figure 2 This is a schematic diagram of the structure of a low-voltage substation phase sequence topology dynamic identification device provided by an embodiment of the present invention;

[0040] Figure 3 It is a structural diagram of a computer terminal device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0041] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0042] It should be understood that the step numbers used herein are only for convenience of description and are not intended to limit the order in which the steps are executed.

[0043] It should be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, the singular forms "a", "an" and "the" are intended to include the plural forms unless the context clearly indicates otherwise.

[0044] The terms “include” and “comprising” indicate the presence of described features, integers, steps, operations, elements and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or groups thereof.

[0045] The term "and / or" refers to and includes any and all possible combinations of one or more of the associated listed items.

[0046] See also Figure 1 , Figure 1 The figure is a flow chart of a method for dynamically identifying phase sequence topology of a low-voltage transformer substation provided by an embodiment of the present invention. In this embodiment, the method for dynamically identifying phase sequence topology of a low-voltage transformer substation includes the following steps:

[0047] S110, obtaining a first voltage and a first active power of a low-voltage busbar of a distribution transformer in a low-voltage substation, and obtaining a second voltage and a second active power of the same frequency within a preset period of all user meters in the low-voltage substation;

[0048] It can be understood that the same frequency means that the sampling frequencies of the first voltage and the first power as well as the second voltage and the second power are the same, such as 15 minutes per time.

[0049] S120: Obtain a first active current according to the first voltage and the first active power, and obtain a second active current according to the second voltage and the second active power;

[0050] S130, setting sliding window data according to the first voltage, the first active current, the second voltage, and the second active current;

[0051] S140, calculating the current deviation between the electric meter and the corresponding phase bus based on the sliding window data, and determining that the phase sequence topology of the substation has changed if the deviation is greater than a preset current deviation threshold; and performing a cluster analysis on the voltage sequence of the electric meter to determine the voltage deviation if the deviation is less than the preset current deviation threshold;

[0052] S150 , judging whether there are out-of-phase meters in the same cluster based on the voltage deviation, and if so, determining that the phase sequence topology of the substation area has changed; if not, determining that the phase sequence topology of the substation area has not changed.

[0053] In an embodiment of the present invention, in step S120, obtaining a first active current according to the first voltage and the first active power, and obtaining a second active current according to the second voltage and the second active power, the specific formulas involved include:

[0054]

[0055]

[0056] Among them, P t z is the active power value of the z-phase busbar of the distribution transformer at time t, U t z is the voltage value of the z-phase busbar of the distribution transformer at time t, A, B, and C represent the phase sequence of the low-voltage busbar, P t m is the active power value of user meter m at time t, U t m is the voltage value of user meter m at time t, and M is the number of power supply users in the substation.

[0057] In a specific embodiment, the sampling period of the voltage and active current of the distribution transformer low-voltage bus and the user's electric meter is N; the sliding window period span is set to p, the sliding step is s, and the number of sliding windows is:

[0058]

[0059] A current deviation threshold of ε0 is preset. The current deviation between the meter and the corresponding phase bus is calculated for the sliding window data. If the deviation is greater than the preset current deviation threshold ε0, current deviation determination is initiated. If the deviation is less than the preset current deviation threshold ε0, voltage deviation determination is initiated. In an embodiment of the present invention, the preset current deviation threshold is 5% to 20%.

[0060] In a specific embodiment, voltage deviation judgment uses the Kmeans clustering algorithm to perform cluster analysis on the voltage sequence of the meter under different cluster number setting values, calculates the Davidson-Borgin index of the clustering results under different cluster number setting values, and selects the cluster number corresponding to the minimum index value as the optimal cluster number, and its clustering result is regarded as the best clustering result; based on the said best clustering result, combined with its phase sequence topology information, it is judged whether there are out-of-phase meters in the same cluster, and if so, it is determined that the phase sequence topology of the substation has changed.

[0061] Specifically, a low-voltage distribution substation model was built on Matlab. There are 50 power supply users in the substation, all of which are single-phase power supply type, including 16 A-phase users, 22 B-phase users, and 12 C-phase users. Different users are numbered from 1 to 50 to distinguish them. The phase sequence distribution of all power supply users in the substation is shown in Table 1 below.

[0062] Table 1 Phase sequence distribution details of power supply users

[0063] Phase sequence User Number A 2,3,6,8,10,11,12,17,20,21,22,23,36,37,40,41 B 1,7,13,14,15,18,24,25,28,29,30,32,33,34,38,39,43,44,47,48,49,50 C 4,5,9,1 6,19,26,27,31,35,42,45,46

[0064] Using MATLAB to calculate the power flow in the substation, we obtain the voltages of each user's electricity meter and the distribution transformer's low-voltage busbar, as well as the voltage, active power, and active current values. Assuming a 15-minute frequency for the substation's load data, we can obtain the load curve for 96 time periods within a 24-hour period. During the 41st period, users 32, 33, and 34 are switched to phase C, and the current deviation is determined using the active current data in a sliding window. The current deviation results show a significant jump after the 41st period compared to the current deviation before the 41st period, indicating that a phase sequence topology change occurred during the 41st period.

[0065] Next, the Kmeans clustering algorithm is used to cluster the user voltage series. The optimal clustering result is determined by setting the Davidson-Borgin index with different cluster numbers. One clustering result is [31,32,33,34,35]. In fact, according to the known phase sequence topology labels, [31,35] and [32,33,34] belong to users with different phase sequences. This shows that the phase sequence topology of the substation has changed under this sliding window data.

[0066] In summary, through the simulation analysis of a certain substation, the effectiveness of the low-voltage substation phase sequence topology dynamic identification method provided by the present invention is verified.

[0067] In an embodiment of the present invention, the Davidson-Borgin index of the clustering result is used as a classification accuracy indicator to determine the optimal number of clusters and obtain a topological result.

[0068] See also Figure 2 , Figure 2 Schematic diagram of a low-voltage transformer area phase sequence topology dynamic identification device provided in one embodiment of the present invention. In this embodiment, the low-voltage transformer area phase sequence topology dynamic identification device includes:

[0069] The data acquisition module 210 is used to obtain the first voltage and first active power of the low-voltage busbar of the distribution transformer in the low-voltage area, and obtain the second voltage and second active power of the same frequency within a preset period of all user meters in the low-voltage area;

[0070] an active current calculation module 220, configured to obtain a first active current according to the first voltage and the first active power, and to obtain a second active current according to the second voltage and the second active power;

[0071] a data analysis module 230, configured to set sliding window data according to the first voltage, the first active current, the second voltage, and the second active current;

[0072] A current deviation judgment module 240 is configured to calculate the current deviation between the meter and the corresponding phase bus based on the sliding window data, and to start a topology calculation program if the deviation is greater than a preset current deviation threshold; and to start a phase sequence topology dynamic identification program if the deviation is less than the preset current deviation threshold;

[0073] The voltage deviation judgment module 250 is used to perform cluster analysis on the voltage sequence of the electric meter under different cluster number setting values ​​using the Kmeans clustering algorithm, calculate the Davidson-Borg index of the clustering results under different cluster number setting values, and select the cluster number corresponding to the minimum index value as the optimal cluster number, and its clustering result is regarded as the best clustering result.

[0074] In the embodiment of the present invention, the active current calculation module 220 uses the following formula:

[0075]

[0076]

[0077] Among them, P t z is the active power value of the z-phase busbar of the distribution transformer at time t, U t z is the voltage value of the z-phase busbar of the distribution transformer at time t, A, B, and C represent the phase sequence of the low-voltage busbar, P t m is the active power value of user meter m at time t, U t m is the voltage value of user meter m at time t, and M is the number of power supply users in the substation.

[0078] The Davidson-Borgin index of the clustering result is used as a classification accuracy indicator to determine the optimal number of clusters and obtain a topological result. In an embodiment of the present invention, the preset current deviation threshold is 5% to 20%.

[0079] Regarding the specific limitations of the low-voltage substation phase sequence topology dynamic identification device, please refer to the limitations of the low-voltage substation phase sequence topology dynamic identification method above, which will not be repeated here. The various modules in the above-mentioned low-voltage substation phase sequence topology dynamic identification device can be implemented in whole or in part by software, hardware and their combination. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0080] See also Figure 3 An embodiment of the present invention provides a computer terminal device comprising one or more processors and a memory. The memory is coupled to the processor and is configured to store one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the method for dynamically identifying phase sequence topology of a low-voltage substation as described in any of the above embodiments.

[0081] The processor is used to control the overall operation of the computer terminal device to complete all or part of the steps of the above-mentioned low-voltage phase sequence topology dynamic identification method. The memory is used to store various types of data to support the operation of the computer terminal device. These data may include, for example, instructions for any application or method used to operate on the computer terminal device, as well as application-related data. The memory can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0082] In an exemplary embodiment, the computer terminal device can be implemented by one or more application-specific integrated circuits (AS1C), digital signal processors (DSP), digital signal processing devices (DSPD), programmable logic devices (PLD), field programmable gate arrays (FPGA), controllers, microcontrollers, microprocessors or other electronic components to execute the above-mentioned low-voltage substation phase sequence topology dynamic identification method and achieve the same technical effect as the above-mentioned method.

[0083] In another exemplary embodiment, a computer-readable storage medium including program instructions is further provided. When executed by a processor, the program instructions implement the steps of the method for dynamically identifying the phase sequence topology of a low-voltage substation in any of the above-described embodiments. For example, the computer-readable storage medium may be the aforementioned memory including the program instructions. The program instructions may be executed by a processor of a computer terminal device to perform the above-described method for dynamically identifying the phase sequence topology of a low-voltage substation, thereby achieving the same technical effects as the above-described method.

[0084] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for dynamic identification of phase sequence topology of low voltage substation, characterized in that: include: Obtaining a first voltage and a first active power of a low-voltage busbar of a distribution transformer in a low-voltage area, and obtaining a second voltage and a second active power of the same frequency within a preset period of all user meters in the low-voltage area; Obtaining a first active current according to the first voltage and the first active power, and obtaining a second active current according to the second voltage and the second active power; Setting sliding window data according to the first voltage, the first active current, the second voltage, and the second active current; Calculate the current deviation between the meter and the corresponding phase bus based on the sliding window data. If the deviation is greater than a preset current deviation threshold, it is determined that the phase sequence topology of the substation has changed. If the deviation is less than the preset current deviation threshold, cluster analysis is performed on the voltage sequence of the meter to determine the voltage deviation. Judging whether there are out-of-phase meters in the same cluster based on the voltage deviation, if so, it is determined that the phase sequence topology of the substation has changed; if not, it is determined that the phase sequence topology of the substation has not changed; The voltage deviation judgment specifically includes: The Kmeans clustering algorithm is used to perform cluster analysis on the voltage series of the electric meter under different cluster number setting values. The Davidson-Borg index of the clustering results under different cluster number setting values ​​is calculated. The cluster number corresponding to the minimum index value is selected as the optimal cluster number to obtain the best clustering result. According to the optimal clustering result and the corresponding phase sequence topology information, it is determined whether there are out-of-phase electricity meters in the same cluster.

2. The method for dynamic identification of phase sequence topology of low voltage substation according to claim 1 is characterized in that: The first active current is obtained according to the first voltage and the first active power, and the second active current is obtained according to the second voltage and the second active power. Specific formulas include: Among them, P t z is the active power value of the z-phase busbar of the distribution transformer at time t, U t z is the voltage value of the z-phase busbar of the distribution transformer at time t, A, B, and C represent the phase sequence of the low-voltage busbar, P t m is the active power value of user meter m at time t, U t m is the voltage value of user meter m at time t, and M is the number of power supply users in the substation.

3. The method for dynamic identification of phase sequence topology of low voltage substation according to claim 1, characterized in that: The calculation formula used in the Davidson-Boulding index is: Among them, λ DBI represents the Davidson-Boulding index, K is a positive integer, m i is the cluster C i Number of electric meters, m j is the cluster C j The number of electric meters, x i Indicates the cluster C after clustering convergence i The second voltage time series data of each meter in x j Indicates the cluster C after clustering convergence j The second voltage time series data of each meter in μ i Indicates the cluster C after clustering convergence i The voltage time series data of the cluster center, μ j Indicates the cluster C after clustering convergence j The voltage time series data of the cluster center.

4. The method for dynamic identification of phase sequence topology of low voltage substation according to claim 1, characterized in that: The preset current deviation threshold is 5% to 20%.

5. A low voltage substation phase sequence topology dynamic identification device, characterized in that: include: A data acquisition module is used to obtain the first voltage and first active power of the low-voltage busbar of the distribution transformer in the low-voltage area, and obtain the second voltage and second active power of the same frequency within a preset period of all user meters in the low-voltage area; an active current calculation module, configured to obtain a first active current according to the first voltage and the first active power, and to obtain a second active current according to the second voltage and the second active power; a data analysis module, configured to set sliding window data according to the first voltage, the first active current, the second voltage, and the second active current; A current deviation judgment module is used to calculate the current deviation between the meter and the corresponding phase bus according to the sliding window data, and if the deviation is greater than a preset current deviation threshold, it is determined that the phase sequence topology of the substation has changed; A voltage deviation judgment module is used to perform cluster analysis on the voltage sequence of the meter to determine the voltage deviation when the current deviation between the meter and the corresponding phase bus is less than a preset current deviation threshold. Based on the voltage deviation judgment, it is determined whether there are out-of-phase meters in the same cluster. If so, it is determined that the phase sequence topology of the substation has changed; if not, it is determined that the phase sequence topology of the substation has not changed; Among them, the voltage deviation judgment is specifically as follows: using the Kmeans clustering algorithm to perform cluster analysis on the voltage sequence of the meter under different cluster number setting values, calculating the Davidson-Borg index of the clustering results under different cluster number setting values, screening the cluster number corresponding to the minimum index value as the optimal cluster number, and obtaining the best clustering result; based on the best clustering result and the corresponding phase sequence topology information, judging whether there are out-of-phase meters in the same cluster.

6. The low-voltage substation phase sequence topology dynamic identification device according to claim 5 is characterized in that: The active current calculation module uses the following formulas: Among them, P t z is the active power value of the z-phase busbar of the distribution transformer at time t, U t z is the voltage value of the z-phase busbar of the distribution transformer at time t, A, B, and C represent the A, B, and C phases of the low-voltage busbar respectively, and P t m is the active power value of user meter m at time t, U t m is the voltage value of user meter m at time t, and M is the number of power supply users in the substation.

7. A computer terminal device, characterized in that: include: one or more processors; a memory, coupled to the processor, for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the low-voltage substation phase sequence topology dynamic identification method according to any one of claims 1 to 4.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for dynamically identifying the phase sequence topology of a low-voltage substation area according to any one of claims 1 to 4 is implemented.

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