Distribution network power restoration identification method, system, equipment and medium

Abstract

The invention discloses a power restoration identification method, system and device for a distribution network, and a medium, and particularly relates to the technical field of power restoration identification. The method is technically characterized by comprising the following steps of: calculating a first closing probability by utilizing a pre-constructed first closing probability calculation function to obtain a first probability matrix; obtaining a measured section current value of the trip switch, and calculating a second closing probability by using a pre-constructed second closing probability based on the level of the measured section current value of the trip switch to obtain a second probability matrix; obtaining power restoration information of the distribution transformer, and calculating a third closing probability by using the power restoration information of the distribution transformer in combination with a pre-constructed third closing probability calculation function to obtain a third probability matrix; fusing the first probability matrix, the second probability matrix and the third probability matrix to obtain a closing probability; after the closing probability of the tripping switch reaches a preset closing condition, acquiring a total voltage value of equipment in the distribution transformer district connected with the tripping switch; and identifying the power restoration of the distribution transformer district to obtain a power restoration identification result.

Description

Technical Field

[0001] This invention relates to the field of power restoration identification technology, specifically to a power restoration identification method, system, device, and medium for distribution networks. Background Technology

[0002] In the power industry, the distribution network bears the heavy responsibility of power distribution, and power outages during the distribution process have a significant impact on users. Traditional distribution network power restoration identification often relies on a single type of data, such as judging power restoration solely based on the switch status information of the distribution automation system.

[0003] However, closing the switch does not necessarily mean that power has been fully restored to the user side. There may be situations where the switch falsely sends a closing signal, there is a fault in the middle of the line, or there are problems with the user's internal equipment, which may result in the user not yet having power restored. This method cannot fully understand the actual operation of the distribution network and is prone to misjudgment.

[0004] Therefore, the present invention aims to provide a distribution network power restoration identification method, system, device and medium to solve the aforementioned problems. Summary of the Invention

[0005] The technical problem this invention aims to solve is that existing technologies cannot fully understand the actual operation of the distribution network, which is prone to misjudgment. The purpose is to provide a method, system, device, and medium for power restoration identification in distribution networks. This involves acquiring the closing signal of a trip switch and the power restoration information of the distribution transformer, and combining this with the measured cross-sectional current value of the trip switch. Three closure probability matrices are calculated using three pre-constructed closure probability calculation functions. These three probability matrices are then fused to obtain the final closure probability of the trip switch. After the closure probability reaches a preset closure condition, the total voltage value of the equipment in the distribution transformer area connected to the trip switch is obtained. Based on this total voltage value, the power restoration of the distribution transformer area is identified, resulting in the final power restoration identification result. This allows for the comprehensive utilization of multiple distribution monitoring devices to accurately identify the power restoration of distribution network equipment, supporting rapid fault handling of distribution lines, quickly and accurately identifying whether power has been restored, improving overall power supply reliability, and reducing the occurrence of inaccurate power restoration time assessments.

[0006] This invention is achieved through the following technical solution: A method for identifying power distribution network restoration, the method comprising: Obtain the operating data of the outage line and retrieve the trip switch closing signal or the distribution transformer restoration signal from the operating data; After retrieving one of the signals from the trip switch closing signal or the distribution transformer re-energizing signal, the first closing probability of the trip switch is calculated using a pre-constructed first closing probability calculation function to obtain the first probability matrix. Obtain the measured section current value of the trip switch, and based on the measured section current value level of the trip switch, calculate the second closing probability of the trip switch using the pre-constructed second closing probability calculation function to obtain the second probability matrix; Obtain the power restoration information of the distribution transformer, and use the power restoration information in conjunction with the pre-constructed third closure probability calculation function to calculate the third closure probability of the trip switch, and obtain the third probability matrix; By combining the first probability matrix, the second probability matrix, and the third probability matrix, the closing probability of the trip switch is obtained; After the closing probability of the trip switch reaches the preset closing condition, the total voltage value of the equipment in the distribution transformer area connected to the trip switch is obtained; based on the total voltage value of the equipment, the power restoration of the distribution transformer area is identified, and the power restoration identification result is obtained.

[0007] Furthermore, the closing probability of the trip switch reaches the preset closing condition, specifically: the closing probability of the trip switch is greater than the closing threshold.

[0008] Furthermore, the pre-constructed first closed-loop probability calculation function is specifically as follows: ,in, Let the first probability matrix be represented. This represents the first closure probability value. This represents the probability value of the first unclosed loop. This indicates the first level of credibility assigned.

[0009] Further, the measured cross-sectional current value of the trip switch is obtained, and based on the measured cross-sectional current value level of the trip switch, the second closure probability of the trip switch is calculated using a pre-constructed second closure probability calculation function to obtain the second probability matrix; wherein, the measured cross-sectional current value level of the trip switch includes a first level, a second level, and a third level, the first level is when the measured cross-sectional current value is greater than a current threshold, the second level is when the measured cross-sectional current value is less than a preset current threshold and greater than zero, and the third level is when the measured cross-sectional current value is equal to zero; the pre-constructed second closure probability calculation function is specifically as follows: ,in, Denotes the second probability matrix. This represents the second closure probability value. This represents the probability value of the second unclosed loop. This indicates the assignment of the second level of credibility.

[0010] Furthermore, the pre-constructed third closed-loop probability calculation function is as follows: ,in, This represents the third probability matrix. This indicates the actual number of power restoration signals received from the distribution transformer. This indicates the total number of transformers that have lost power.

[0011] Furthermore, by integrating the first probability matrix, the second probability matrix, and the third probability matrix, the closing probability of the trip switch is obtained, specifically: ,in, This represents the probability of the circuit breaker closing. , , These represent the values ​​of the first probability matrix, the second probability matrix, and the third probability matrix, respectively. This represents the normalization coefficient.

[0012] The present invention also provides a distribution network restoration identification system, which is used in any of the above-described distribution network restoration identification methods, the system comprising: The operation data acquisition module is used to acquire the operation data of the outage line and retrieve the trip switch closing signal or the distribution transformer restoration signal from the operation data; The first probability calculation module is used to calculate the first closure probability of the trip switch after retrieving one of the signals, the trip switch closing signal or the distribution transformer restoration signal, using a pre-constructed first closure probability calculation function to obtain the first probability matrix. The second probability calculation module is used to obtain the measured section current value of the trip switch, and based on the measured section current value level of the trip switch, calculate the second closure probability of the trip switch using the pre-constructed second closure probability calculation function to obtain the second probability matrix. The third probability calculation module is used to obtain the power restoration information of the distribution transformer and use the power restoration information combined with the pre-constructed third closure probability calculation function to calculate the third closure probability of the trip switch, and obtain the third probability matrix. The closure probability fusion module is used to fuse the first probability matrix, the second probability matrix, and the third probability matrix to obtain the closure probability of the trip switch. The identification result acquisition module is used to acquire the total equipment voltage value in the distribution transformer area connected to the trip switch after the closing probability of the trip switch reaches the preset closing condition; and to identify the power restoration of the distribution transformer area based on the total equipment voltage value to obtain the power restoration identification result.

[0013] The present invention also provides a computer device, including a system memory and a processor, wherein the system memory stores a computer program, and the processor executes the computer program to implement the steps of any of the methods described above.

[0014] The present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of any of the methods described above.

[0015] The present invention also provides a computer program product containing instructions that, when executed by a cluster of computer devices, cause the cluster of computer devices to perform the method described in any of the preceding claims.

[0016] Compared with the prior art, the present invention has the following advantages and beneficial effects: In this invention, by acquiring the trip switch closing signal and distribution transformer restoration information, and combining the measured cross-sectional current value of the trip switch, three closure probability matrices are calculated using three pre-constructed closure probability calculation functions. The three probability matrices are then fused to obtain the final trip switch closure probability. After the closure probability reaches a preset closure condition, the total equipment voltage in the distribution transformer area connected to the trip switch is acquired. Based on the total equipment voltage value, the restoration of the distribution transformer area is identified, resulting in the final restoration identification result. This allows for the comprehensive use of multiple distribution monitoring devices to accurately identify the restoration of distribution network equipment, supporting rapid fault handling of distribution lines, quickly and accurately identifying whether power has been restored, improving overall power supply reliability, and reducing the occurrence of inaccurate restoration time assessments. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly described below. It should be understood that the following drawings only show some embodiments of the present invention and should not be considered as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort. In the drawings: Figure 1 This is a schematic diagram of the method flow for a power distribution network restoration identification method in this embodiment; Figure 2 This is an example diagram of a distribution network topology in this embodiment; Figure 3 This is a schematic diagram of the module connection of a power distribution network restoration identification system in this embodiment; Figure 4 This is a schematic diagram of the structure of a computer device in this embodiment. Detailed Implementation

[0018] The exemplary embodiments of this disclosure are described below with reference to the accompanying drawings, including various details of the embodiments to aid understanding, and should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope of this disclosure. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0019] In this disclosure, unless otherwise stated, the use of terms such as "first," "second," etc., to describe various elements is not intended to limit the positional, temporal, or importance relationships of these elements; such terms are merely used to distinguish one element from another. In some examples, the first element and the second element may refer to the same instance of that element, while in other cases, based on the context, they may refer to different instances.

[0020] The terminology used in the description of the various examples in this disclosure is for the purpose of describing particular examples only and is not intended to be limiting. Unless the context explicitly indicates otherwise, an element may be one or more unless the number of elements is specifically limited. Furthermore, the term "and / or" as used in this disclosure covers any one of the listed items and all possible combinations thereof.

[0021] Example 1 See Figure 1 , Figure 1 A flowchart illustrating a distribution network restoration identification method is shown, wherein the method includes: S1: Obtain the operating data of the outage line and retrieve the trip switch closing signal or the distribution transformer (distribution transformer) restoration signal from the operating data; It should be noted that in this embodiment, the power distribution master station monitors the out-of-power line and obtains the operating data of the out-of-power line. The operating data includes the trip switch closing signal, the distribution transformer restoration signal, and other signals generated during operation, which will not be elaborated on here. At the same time, the distribution transformer restoration signal refers to the distribution transformer restoration signal of all distribution transformers upstream and downstream of the line where the trip switch is located. There may be one or more, depending on the actual situation. For example, see Figure 2 A sample diagram of a distribution network topology is provided. When a fault occurs between distribution network switches FS6, FS7, and FS8, FS6 trips. Subsequently, the closing signal of switch FS6 or the restoration signal of the downstream distribution transformers (PB27, PB28, PB29, PB30, PB31, PB32, PB33, PB34, PB35, PB36, PB37) are monitored in real time. The monitoring results are shown in the table below.

[0022] S2: After retrieving one of the trip switch closing signal or the distribution transformer restoration signal, the first closing probability of the trip switch is calculated using the pre-constructed first closing probability calculation function to obtain the first probability matrix; Specifically, in this embodiment, after retrieving either the trip switch closing signal or the distribution transformer restoration signal, the first closing probability of the trip switch is calculated using a pre-constructed first closing probability calculation function to obtain the first probability matrix; wherein, the pre-constructed first closing probability calculation function is specifically: ,in, Let the first probability matrix be represented. This represents the first closure probability value. This represents the probability value of the first unclosed loop. This indicates the first level of credibility assigned.

[0023] It should be noted that in this embodiment, the first confidence level is set to 0.95. In other embodiments, the value can be determined according to the actual situation, which will not be elaborated on here.

[0024] S3: Obtain the measured section current value of the trip switch, and based on the measured section current value level of the trip switch, calculate the second closing probability of the trip switch using the pre-constructed second closing probability calculation function to obtain the second probability matrix; Specifically, in this embodiment, the distribution master station acquires the measured section current value of the trip switch, and calculates the second closure probability of the trip switch based on the measured section current value level of the trip switch using a pre-constructed second closure probability calculation function, thus obtaining a second probability matrix; wherein, the measured section current value level of the trip switch includes a first level, a second level, and a third level, the first level being a measured section current value greater than a current threshold, the second level being a measured section current value less than a preset current threshold but greater than zero, and the third level being a measured section current value equal to zero; the pre-constructed second closure probability calculation function is specifically as follows: ,in, Denotes the second probability matrix. This represents the second closure probability value. This represents the probability value of the second unclosed loop. This indicates the assignment of the second level of credibility.

[0025] It should be noted that in this embodiment, the current threshold is set to 1A. In other embodiments, it can be determined according to the actual situation, which will not be elaborated on here. The second confidence value is set to 0.9. In other embodiments, it can be determined according to the actual situation, which will not be elaborated on here.

[0026] S4: Obtain the power restoration information of the distribution transformer, and use the power restoration information of the distribution transformer in combination with the pre-constructed third closing probability calculation function to calculate the third closing probability of the trip switch, and obtain the third probability matrix; Specifically, in this embodiment, the distribution master station obtains the power restoration information of the distribution transformer downstream of the trip switch, and uses the distribution transformer power restoration information combined with a pre-constructed third closure probability calculation function to calculate the third closure probability of the trip switch, thus obtaining the third probability matrix; wherein, the pre-constructed third closure probability calculation function is specifically: ,in, This represents the third probability matrix. This indicates the actual number of power restoration signals received from the distribution transformer. This indicates the total number of transformers that have lost power.

[0027] It should be noted that in this embodiment, downstream of the trip switch refers to the line connected to the output terminal of the trip switch. The power restoration information of the distribution transformer includes the number of power restoration signals actually received from the downstream distribution transformers of the trip switch and the total number of power-out transformers. In other embodiments, other parameter settings may also be included, which will not be elaborated on here.

[0028] S5: Combine the first probability matrix, the second probability matrix, and the third probability matrix to obtain the closing probability of the trip switch; Specifically, in this embodiment, the closing probability of the trip switch is obtained by fusing the first probability matrix, the second probability matrix, and the third probability matrix, as follows: ,in, This represents the probability of the circuit breaker closing. , , These represent the values ​​of the first probability matrix, the second probability matrix, and the third probability matrix, respectively. Represents the normalization coefficient; ; For example, in this embodiment, the first probability matrix calculated according to the first closure probability calculation function, the second closure probability calculation function, and the third closure probability calculation function is d1={0.95,0.05}, the second probability matrix is ​​d2={0.9,0.1}, and the third probability matrix is ​​d3={0.55,0.45}. After fusion, the closure probability of the trip switch is obtained as D=0.9974. S6: After the closing probability of the trip switch reaches the preset closing condition, obtain the total equipment voltage value in the distribution transformer area connected to the trip switch; based on the total equipment voltage value, identify the power restoration of the distribution transformer area and obtain the power restoration identification result.

[0029] Specifically, in this embodiment, after the closing probability of the trip switch is greater than the closing threshold, the total voltage value of the equipment in the distribution transformer area connected to the trip switch is obtained, and the power restoration of the distribution transformer area is identified based on the total voltage value of the equipment, so as to obtain the power restoration identification result.

[0030] It should be noted that in this embodiment, the closing threshold is determined according to the actual situation and is not subject to excessive restrictions here; at the same time, the equipment in the distribution transformer area connected to the trip switch refers to all distribution transformers on the line where the trip switch is located; after identification, the downstream section of the trip switch is divided into restoration sections according to circuit breakers / load switches; the received distribution transformer restoration signals and the restoration identification results are comprehensively analyzed to determine the number of restoration sections. If it is equal to the total number of restoration sections, the restoration identification analysis ends; if it is less than the number of restoration sections, step S6 is continued after a fixed time period until all restoration analysis is completed.

[0031] Specifically, in this embodiment, by acquiring the trip switch closing signal and the power restoration information of the distribution transformer, and combining the measured cross-sectional current value of the trip switch, three closure probability matrices are calculated using three pre-constructed closure probability calculation functions. The three probability matrices are then fused to obtain the final closure probability of the trip switch. After the closure probability reaches the preset closure condition, the total voltage value of the equipment in the distribution transformer area connected to the trip switch is obtained, and the power restoration of the distribution transformer area is identified based on the total equipment voltage value to obtain the final power restoration identification result. This enables the comprehensive use of multiple distribution monitoring devices to achieve accurate identification of power restoration of distribution network equipment, supports rapid handling of distribution line faults, quickly and accurately identifies whether power has been restored, improves overall power supply reliability, and reduces the occurrence of inaccurate power restoration time judgment.

[0032] Example 2 See Figure 3 The present invention also provides a power distribution network restoration identification system, which is used in any of the above-described power distribution network restoration identification methods, the system comprising: The operation data acquisition module 100 is used to acquire the operation data of the power outage line and retrieve the trip switch closing signal or the distribution transformer restoration signal from the operation data; The first probability calculation module 200 is used to calculate the first closure probability of the trip switch using a pre-constructed first closure probability calculation function after retrieving one of the signals from the trip switch closing signal or the distribution transformer re-energizing signal, and obtain the first probability matrix. The second probability calculation module 300 is used to obtain the measured section current value of the trip switch, and calculate the second closure probability of the trip switch based on the measured section current value level of the trip switch using a pre-constructed second closure probability calculation function to obtain the second probability matrix. The third probability calculation module 400 is used to acquire the power restoration information of the distribution transformer and use the power restoration information of the distribution transformer in combination with the pre-constructed third closure probability calculation function to calculate the third closure probability of the trip switch and obtain the third probability matrix. The closure probability fusion module 500 is used to fuse the first probability matrix, the second probability matrix, and the third probability matrix to obtain the closure probability of the trip switch. The identification result acquisition module 600 is used to acquire the total equipment voltage value in the distribution transformer area connected to the trip switch after the closing probability of the trip switch reaches the preset closing condition; and to identify the power restoration of the distribution transformer area based on the total equipment voltage value to obtain the power restoration identification result.

[0033] It should be noted that the modules in the system of Embodiment 2 correspond to the steps in the method of Embodiment 1. The steps in the method of Embodiment 1 have been described in detail in Embodiment 1, and the module content in the system will not be described in detail in this Embodiment 2.

[0034] Example 3 See Figure 4 This embodiment also provides a computer device, including a system memory 1005 and a processor 1001. The system memory 1005 stores a computer program, and the processor 1001 executes the computer program to implement the steps of any of the methods described above.

[0035] It should be noted that the processor 1001 is used to execute the steps in the above method embodiments according to the instructions in the program code. Alternatively, when the processor 1001 executes the computer program, it implements the functions of each module / unit in the above system / device embodiments.

[0036] Specifically, in this embodiment, the computer program can be divided into one or more modules / units. One or more modules / units are stored in the system memory 1005 and executed by the processor 1001 to complete this application. One or more modules / units can be a series of computer program instruction segments capable of performing specific functions, which describe the execution process of the computer program in the terminal device.

[0037] The terminal device can be a desktop computer, laptop, handheld computer, or cloud server, etc. The terminal device may include, but is not limited to, a processor 1001 and a system memory 1005. Those skilled in the art will understand that this does not constitute a limitation on the terminal device, which may include more or fewer components than shown, or a combination of certain components, or different components. For example, the terminal device may also include an input / output device 1003, a network access device 1002, a bus 1006, etc.

[0038] The processor 1001 can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor.

[0039] System memory 1005 can be an internal storage unit of the terminal device, such as a hard drive or RAM. System memory 1005 can also be a storage device 1004 of the terminal device, such as an external hard drive, SmartMedia Card (SMC), Secure Digital (SD) card, or FlashCard. Furthermore, system memory 1005 can include both internal storage units and storage device 1004. System memory 1005 is used to store computer programs and other programs and data required by the terminal device. System memory 1005 can also be used to temporarily store data that has been output or will be output.

[0040] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0041] Example 4 This embodiment provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of any of the methods described above.

[0042] The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or any combination thereof. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), registers, hard disks, optical fibers, compact disc read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof, or any other form of computer-readable storage medium in the art.

[0043] An exemplary storage medium is coupled to a processor, enabling the processor to read information from and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and storage medium can reside within an application-specific integrated circuit (ASIC). In embodiments of the invention, the computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device.

[0044] Example 5 This embodiment also provides a computer program product containing instructions that, when executed by a cluster of computer devices, cause the cluster of computer devices to perform the method described in Embodiment 1.

[0045] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for identifying power distribution network restoration, characterized in that the method... include: Obtain the operating data of the outage line and retrieve the trip switch closing signal or the distribution transformer restoration signal from the operating data; After retrieving one of the signals from the trip switch closing signal or the distribution transformer re-energizing signal, the first closing probability of the trip switch is calculated using a pre-constructed first closing probability calculation function to obtain the first probability matrix. Obtain the measured section current value of the trip switch, and based on the measured section current value level of the trip switch, calculate the second closing probability of the trip switch using the pre-constructed second closing probability calculation function to obtain the second probability matrix; Obtain the power restoration information of the distribution transformer, and use the power restoration information in conjunction with the pre-constructed third closure probability calculation function to calculate the third closure probability of the trip switch, and obtain the third probability matrix; By combining the first probability matrix, the second probability matrix, and the third probability matrix, the closing probability of the trip switch is obtained; After the closing probability of the trip switch reaches the preset closing condition, the total equipment voltage in the distribution transformer area connected to the trip switch is obtained; The power restoration of the distribution transformer area is identified based on the total voltage value of the equipment, and the power restoration identification result is obtained.

2. The distribution network restoration identification method according to claim 1, characterized in that, The closing probability of the trip switch reaches the preset closing condition, specifically: the closing probability of the trip switch is greater than the closing threshold.

3. The distribution network restoration identification method according to claim 1, characterized in that, The pre-constructed first closed-loop probability calculation function is as follows: ,in, Let the first probability matrix be represented. This represents the first closure probability value. This represents the probability value of the first unclosed loop. This indicates the first level of credibility assigned.

4. The distribution network restoration identification method according to claim 1, characterized in that, The measured section current value of the trip switch is obtained, and based on the measured section current value level of the trip switch, the second closure probability of the trip switch is calculated using a pre-constructed second closure probability calculation function to obtain the second probability matrix; wherein, the measured section current value level of the trip switch includes a first level, a second level, and a third level, the first level is when the measured section current value is greater than a current threshold, the second level is when the measured section current value is less than a preset current threshold and greater than zero, and the third level is when the measured section current value is equal to zero; the pre-constructed second closure probability calculation function is as follows: ,in, Denotes the second probability matrix. This represents the second closure probability value. This represents the probability value of the second unclosed loop. This indicates the assignment of the second level of credibility.

5. The distribution network restoration identification method according to claim 1, characterized in that, The pre-constructed third closed-loop probability calculation function is as follows: ,in, This represents the third probability matrix. This indicates the actual number of power restoration signals received from the distribution transformer. This indicates the total number of transformers that have lost power.

6. The distribution network restoration identification method according to claim 1, characterized in that, By combining the first probability matrix, the second probability matrix, and the third probability matrix, the closing probability of the trip switch is obtained, as follows: ,in, This represents the probability of the circuit breaker closing. , , These represent the values ​​of the first probability matrix, the second probability matrix, and the third probability matrix, respectively. This represents the normalization coefficient.

7. A power distribution network restoration identification system, characterized in that, This system is used in a power distribution network restoration identification method according to any one of claims 1-6, the system comprising: The operation data acquisition module is used to acquire the operation data of the outage line and retrieve the trip switch closing signal or the distribution transformer restoration signal from the operation data; The first probability calculation module is used to calculate the first closure probability of the trip switch after retrieving one of the signals, the trip switch closing signal or the distribution transformer restoration signal, using a pre-constructed first closure probability calculation function to obtain the first probability matrix. The second probability calculation module is used to obtain the measured section current value of the trip switch, and based on the measured section current value level of the trip switch, calculate the second closure probability of the trip switch using the pre-constructed second closure probability calculation function to obtain the second probability matrix. The third probability calculation module is used to obtain the power restoration information of the distribution transformer and use the power restoration information combined with the pre-constructed third closure probability calculation function to calculate the third closure probability of the trip switch, and obtain the third probability matrix. The closure probability fusion module is used to fuse the first probability matrix, the second probability matrix, and the third probability matrix to obtain the closure probability of the trip switch. The identification result acquisition module is used to acquire the total equipment voltage value in the distribution transformer area connected to the trip switch after the closing probability of the trip switch reaches the preset closing condition; and to identify the power restoration of the distribution transformer area based on the total equipment voltage value to obtain the power restoration identification result.

8. A computer device comprising a system memory and a processor, wherein the system memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method described in any one of claims 1 to 6.

10. A computer program product containing instructions, characterized in that, When the instructions are executed by a cluster of computer devices, the cluster of computer devices causes the cluster of computer devices to perform the method as described in any one of claims 1 to 6.

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