Power failure positioning method and device based on multi-weight verification, and readable medium

Abstract

The invention discloses a power failure positioning method and device based on multi-weight verification and a readable medium, and the method comprises the steps: S1, constructing an m * 5-dimensional parameter matrix R for each feeder line every day; s2, initializing an m * 5-dimensional fault matrix X into an all-0 matrix, and updating the assignment of the fault matrix X according to the received transformer fault alarm signal of each feeder line; s3, multiplying the fault matrix X and the parameter matrix R by bits to obtain a collection result matrix Y, and carrying out fault hierarchy collection according to a preset trigger condition; s4, judging the power failure range and type according to the sum s of the first columns of the fault matrix X and the collection result matrix Y; and S5, repeatedly executing the step S3 and the step S4 at intervals, and determining the power failure type if multiple continuous results are consistent. According to the invention, the problems of insufficient positioning precision, lack of correlation analysis and poor anti-interference performance in the existing power failure detection technology are effectively solved.

Description

Technical Field

[0001] This invention relates to the field of power outage detection technology in power distribution networks, specifically to a power outage location method, device, and readable medium based on multi-weight verification. Background Technology

[0002] In the operation and maintenance of power systems, power outage detection technology in distribution networks is a crucial link in ensuring the stability and reliability of power supply. However, current power outage detection technologies face numerous technical bottlenecks in practical applications, severely restricting the efficiency and accuracy of distribution network fault handling. These bottlenecks manifest in the following aspects: 1) Existing power outage detection technologies for distribution networks have significant shortcomings in terms of outage location accuracy. Distribution networks have complex structures, including different levels of power facilities such as high-voltage transmission lines, medium-voltage distribution lines, and low-voltage distribution areas. When a power outage occurs, existing detection technologies often struggle to accurately distinguish between different levels of faults, such as line segment outages or distribution area outages. This inaccuracy in location accuracy prevents maintenance personnel from quickly and accurately pinpointing the fault location, thus prolonging troubleshooting and repair time and increasing the scope and duration of the outage's impact on users.

[0003] 2) There is a close correlation between power outage events and load changes. Accurately analyzing this correlation is crucial for quickly locating faults and improving fault handling efficiency. However, existing power outage detection technologies for distribution networks lack effective analysis of the correlation between power outage events and load changes. When a power outage occurs, it is impossible to determine the causal relationship between the power outage event and load changes in a timely and accurate manner, resulting in low fault location efficiency.

[0004] 3) Traditional power outage detection relies on a single alarm signal, which is susceptible to momentary interference and misjudgment, and lacks a multi-level verification mechanism. Summary of the Invention

[0005] To overcome the problems of insufficient power outage location accuracy, insufficient analysis of the correlation between power outage events and load changes, and poor anti-interference of existing power outage detection technologies in power distribution networks, this invention provides a power outage location method, device, and readable medium based on multi-weight verification.

[0006] The technical solution of this invention is as follows: In a first aspect, the present invention provides a power outage location method based on multi-weighted verification, comprising the following steps: Step S1: Construct an m×5 dimension parameter matrix R for each feeder every day; where m is the total number of transformers managed by a single feeder, each row in the parameter matrix R represents one transformer managed by the feeder, and each row includes 5 fixed equipment parameters. Step S2: Initialize the m×5 dimension fault matrix X as an all-zero matrix, and update the value of the fault matrix X according to the transformer fault alarm signal received for each feeder; wherein, each row of the fault matrix X corresponds to one transformer under the jurisdiction of the feeder, and the five elements of each row correspond to five types of power outages. Step S3: Multiply the fault matrix X and the parameter matrix R by each element to obtain the aggregation result matrix Y, and aggregate the fault levels according to the preset triggering conditions. Step S4: Determine the power outage range and type based on the sum s of the first column of the fault matrix X and the aggregation result matrix Y; Step S5: Repeat steps S3 and S4 at intervals. If the results are consistent multiple times, the power outage type is confirmed.

[0007] As a preferred embodiment of the present invention, the five fixed equipment parameters in each row of the parameter matrix R are, in order, transformer power outage verification weight, phase power outage verification weight, branch power outage verification weight, branch power outage verification weight, and single user power outage verification weight, and the five types of power outages are transformer power outage, phase power outage, branch power outage, branch power outage, and single user power outage.

[0008] As a preferred embodiment of the present invention, the transformer power outage verification weight is fixed at 1; the phase power outage verification weight of the ordinary distribution area is fixed at 1, and the phase power outage verification weight of the dedicated transformer is fixed at 0; the branch power outage verification weight is 1 / number of branches under the transformer; the branch power outage verification weight of the ordinary distribution area is fixed at 1, and the branch power outage verification weight of the dedicated transformer is fixed at 0; the single user power outage verification weight is 1 / total number of user meters under the transformer.

[0009] As a preferred embodiment of the present invention, the parameter vector of the i-th row of the parameter matrix R of the ordinary transformer area is ri=[1,1,1 / Ni,1,1 / Mi], where Ni represents the number of branches under the i-th transformer and Mi represents the number of meters under the i-th transformer; the parameter vector of the i-th row of the parameter matrix R of the special transformer is ri=[1,0,0,0,0]; the parameter vector of the i-th row of the fault matrix X is xi; and the parameter vector of the i-th row of the aggregation result matrix Y is yi=xi×ri.

[0010] As a preferred embodiment of the present invention, in step S2, the assignment of updating the fault matrix X based on the received transformer fault alarm signal for each feeder includes: In response to power outage alarms, load drops or low-voltage trip signals reported by the load control terminal or distribution transformer terminal, set xi[0] to 1; In response to the phase loss operation signal detected by the distribution transformer terminal, xi[1] is set to 1; In response to the power outage alarm signal of the transformer reported by the operation and distribution system, the value of xi[2] is incremented by 1; In response to the branch line power outage alarm signal reported by the branch line terminal under the transformer, set xi[3] to 1; In response to the low-voltage meter power outage alarm signal reported by the low-voltage user meter under the transformer, the value of xi[4] is incremented by 1.

[0011] As a preferred embodiment of the present invention, in step S3, the preset triggering conditions include: If xi[4]>2, then set xi[3]=1; If xi[2]=0 and (xi[4]×ri[4])>50%, then set yi[2]=1; If xi[0]=0 and (xi[4]×ri[4])≥90%, then set yi[0]=1; If xi[0]=0 and (xi[2]×ri[2])≥75%, then set yi[0]=1.

[0012] As a preferred embodiment of the present invention, in step S4, determining the power outage range and type includes: If s / m ≥ 50%, it is determined that the line is out of power; If s>2 and s / m<50%, then the line segment is determined to be out of power. If s=1, then it is determined that a single transformer is out of power; If s=0, the power outage type is determined according to the aggregation result matrix Y: if yi[1]=1, it is a phase power outage; if yi[2]=1, it is a branch power outage; if yi[3]=1, it is a branch power outage; if yi[4]=1, it is a single meter power outage.

[0013] In a preferred embodiment of the present invention, in step S5, the interval time is 5 minutes and the number of consecutive steps is 3.

[0014] In a second aspect, the present invention provides an electronic device, comprising: At least one processor; and, A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, which enables the at least one processor to perform the aforementioned power outage location method based on multi-weight verification.

[0015] Thirdly, the present invention provides a computer-readable medium storing computer-executable instructions for executing the above-described power outage location method based on multi-weight verification.

[0016] According to the above-described solution, the beneficial effects of this invention are as follows: 1. By constructing parameter matrices and fault matrices, and utilizing multi-weight verification and dynamic update mechanisms, the problems of insufficient positioning accuracy, lack of correlation analysis, and poor anti-interference in existing power outage detection technologies for power distribution networks are effectively solved; 2. By constructing a parameter matrix containing five types of outage verification weights for each transformer, the complex power distribution network structure is decomposed into quantifiable hierarchical relationships; 3. By multiplying the fault matrix X and the parameter matrix R bitwise, and combining the preset triggering conditions, the faults are gradually aggregated from a single user to the line segment. 4. It integrates data from multiple sources such as load control terminal, distribution transformer terminal, operation and maintenance system, and low-voltage meter, covering the entire link signal from transformer to user. At the same time, by associating load changes with power outage type, it can quickly infer the cause-and-effect relationship of faults. 5. Through parameter matrix weight allocation and fault aggregation logic, it has the ability to filter transient interference; by using the sum s of the first column of the fault matrix X and the aggregation result matrix Y, the power outage range and type can be determined in real time. 6. The automated collection and verification process replaces the traditional manual step-by-step troubleshooting, significantly shortening the fault location time and reducing the impact of power outages. Attached Figure Description

[0017] Figure 1 This is a flowchart illustrating a power outage location method based on multi-weighted verification in one embodiment of the present invention. Figure 2 This is a schematic diagram of the structure of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0018] To make the technical problems to be solved, the technical solutions, and the beneficial effects of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0019] It should be noted that the terms "comprising" and "having," and any variations thereof, in the specification and claims of this invention are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the steps or units listed, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or devices.

[0020] Please refer to Figure 1 This embodiment provides a power outage location method based on multi-weighted verification, including the following steps: Step S1: Construct an m×5 dimension parameter matrix R for each feeder daily (e.g., at 0:00 each day); where m is the total number of transformers managed by a single feeder, each row in the parameter matrix R represents one transformer managed by the feeder, and each row includes 5 fixed equipment parameters. The meanings of the 5 fixed equipment parameters are, in order, transformer power outage verification weight, phase power outage verification weight, branch power outage verification weight, branch power outage verification weight, and single user power outage verification weight, providing a weight basis for fault collection.

[0021] Specifically, the transformer outage verification weight is fixed at 1, used for transformer outage verification; the phase outage verification weight for ordinary distribution areas is fixed at 1, while the phase outage verification weight for dedicated transformers is fixed at 0 (dedicated transformers have no phase power supply requirements and do not need phase outage verification), used for phase outage verification; the branch outage verification weight is 1 / number of branches under the transformer, used for branch outage verification; the branch outage verification weight for ordinary distribution areas is fixed at 1, while the branch outage verification weight for dedicated transformers is fixed at 0, used for branch outage verification; the single user outage verification weight is 1 / total number of user meters under the transformer, used for single user outage verification.

[0022] The parameter vector in the i-th row of the parameter matrix R for a regular transformer substation is ri = [1, 1, 1 / Ni, 1, 1 / Mi], where Ni represents the number of branches under the i-th transformer and Mi represents the number of meters under the i-th transformer. For a dedicated transformer, the parameter vector in the i-th row of the parameter matrix R is ri = [1, 0, 0, 0, 0]. Since dedicated transformers have no phases, branches, sub-branches, or low-voltage users, only the transformer's own power outage status needs to be checked.

[0023] Example: A feeder line contains 3 transformers (T1 and T2 are distribution transformers, T3 is a dedicated transformer). T1 has 3 branches and 100 meters, T2 has 2 branches and 80 meters. Then the parameter matrix R is:

[0024] Step S2: Initialize the m×5 dimension fault matrix X as an all-zero matrix, and update the value of the fault matrix X according to the transformer fault alarm signal received from each feeder, so as to realize the real-time recording of the fault alarm status of the transformer under the jurisdiction of each feeder. Among them, each row of the fault matrix X represents one transformer under the jurisdiction of the feeder, and the five elements of each row correspond to five types of power outages, namely transformer power outage, phase power outage, circuit power outage, branch power outage, and single user power outage; the parameter vector of the i-th row of the fault matrix X is xi, X[0] represents transformer power outage, X[1] represents phase power outage, X[2] represents circuit power outage, X[3] represents branch power outage, and X[4] represents single user power outage.

[0025] Specifically, the fault matrix X is updated based on the received transformer fault alarm signals from each feeder, including: In response to power outage alarms, load drops or low-voltage trip signals reported by the load control terminal or distribution transformer terminal, set xi[0] to 1, corresponding to the power outage type as transformer power outage; In response to the phase loss operation signal detected by the distribution transformer terminal, xi[1] is set to 1, and the corresponding power outage type is phase-by-phase power outage; In response to the power outage alarm signal of the transformer reported by the operation and distribution system, the value of xi[2] is incremented by 1, and the corresponding power outage type is power outage; In response to the branch power outage alarm signal reported by the branch line terminal under the transformer, xi[3] is set to 1, and the corresponding power outage type is branch power outage; In response to the low-voltage user meter reporting the low-voltage meter power outage alarm signal under the transformer, the value of xi[4] is incremented by 1, and the corresponding power outage type is single user power outage.

[0026] Step S3: Multiply the fault matrix X and the parameter matrix R by each element to obtain the aggregation result matrix Y, and then aggregate the fault levels according to the preset triggering conditions. The parameter vector in the i-th row of the aggregation result matrix Y is yi = xi × ri.

[0027] Specifically, the preset trigger conditions include: If xi[4]>2 (more than two meters under the transformer are out of power), and xi[3]=1 (branch power outage alarm), then it is determined to be a branch power outage, and yi[3]=1 is set; If xi[2]=0 (no branch power outage alarm) and (xi[4]×ri[4])>50% (the number of outage meters accounts for more than 50% of the total number of meters of the transformer), then it is determined to be a branch power outage, and yi[2]=1 is set; If xi[0]=0 (no transformer power outage alarm) and (xi[4]×ri[4])≥90% (power outage meter count ≥90%), then it is determined that the transformer is out of power and yi[0]=1 is set. If xi[0] = 0 (no transformer power outage alarm) and (xi[2] × ri[2]) ≥ 75% (the proportion of power outage branches to the total number of branches of the transformer ≥ 75%), then it is determined that the transformer is out of power and yi[0] = 1 is set.

[0028] Step S4: Determine the power outage range and type based on the sum s of the first column of the fault matrix X and the aggregation result matrix Y; Specifically, determining the scope and type of power outage includes: If s / m ≥ 50% (more than 50% transformer outage), then it is determined to be a line outage; If s>2 and s / m<50% (the number of transformers out of power exceeds 2 but is less than 50%), then the line segment is judged to be out of power. If s=1 (only 1 transformer is out of power), then it is determined that a single transformer is out of power; If s=0 (no transformer power outage), the power outage type is determined according to the aggregation result matrix Y: if yi[1]=1, it is a phase power outage; if yi[2]=1, it is a branch power outage; if yi[3]=1, it is a branch power outage; if yi[4]=1, it is a single meter power outage.

[0029] Step S5: Repeat steps S3 and S4 at intervals (e.g., 5 minutes). If the results are consistent multiple times (e.g., 3 times), the power outage type is confirmed. If the results are inconsistent (e.g., the momentary false alarm disappears), the terminal alarm data is collected again, and the next round of verification is entered until the results are stable to avoid misjudgment.

[0030] The power outage location method based on multi-weight verification provided in this embodiment effectively solves the problems of insufficient location accuracy, lack of correlation analysis, and poor anti-interference in existing power outage detection technologies by constructing a parameter matrix and a fault matrix, and utilizing multi-weight verification (steps S3-S5) and a dynamic update mechanism. By constructing a parameter matrix containing five types of power outage verification weights for each transformer, the complex power distribution network structure is decomposed into quantifiable hierarchical relationships. Through the positional multiplication of the fault matrix X and the parameter matrix R, combined with preset triggering conditions, the faults are aggregated step by step from a single user to a line segment. It integrates multi-source data from load control terminals, distribution transformer terminals, operation and maintenance systems, and low-voltage meters, covering the entire signal chain from transformer to user. Simultaneously, by correlating load changes (such as sudden drops and tripping) with outage types, it can quickly infer the causal relationship of faults. Through parameter matrix weight allocation and fault aggregation logic, it has the ability to filter transient interference (such as instantaneous meter voltage loss and signal jitter). By using the sum s of the first column of the fault matrix X and the aggregation result matrix Y, the outage range and type can be determined in real time. Through automated aggregation and verification processes, it replaces the traditional manual step-by-step investigation, significantly shortening fault location time and reducing the impact of power outages.

[0031] like Figure 2 The diagram shown is a structural schematic of an electronic device that implements the power outage location method based on multi-weight verification according to the present invention.

[0032] The electronic device may include a processor 10, a memory 11, a communication bus 12 and a communication interface 13, and may also include a computer program stored in the memory 11 and capable of running on the processor 10, such as a power outage location program based on multi-weighted verification.

[0033] In some embodiments, the processor 10 may be composed of integrated circuits, such as a single packaged integrated circuit or multiple integrated circuits with the same or different functions, including combinations of one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips. The processor 10 is the control unit of the electronic device, connecting various components of the entire electronic device through various interfaces and lines. It executes programs or modules stored in the memory 11 (e.g., executing a power outage location program based on multi-weighted verification) and calls data stored in the memory 11 to perform various functions of the electronic device and process data.

[0034] The memory 11 includes at least one type of readable storage medium, including flash memory, portable hard drive, multimedia card, card-type memory (e.g., SD or DX memory), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the memory 11 can be an internal storage unit of an electronic device, such as a portable hard drive. In other embodiments, the memory 11 can be an external storage device of the electronic device, such as a plug-in portable hard drive, SmartMediaCard (SMC), SecureDigital (SD) card, FlashCard, etc. Furthermore, the memory 11 can include both internal and external storage units of the electronic device. The memory 11 can be used not only to store application software and various types of data installed on the electronic device, such as the code of a power outage location program based on multi-weighted verification, but also to temporarily store data that has been output or will be output.

[0035] The communication bus 12 can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This bus can be divided into an address bus, a data bus, a control bus, etc. The bus is configured to enable communication between the memory 11 and at least one processor 10, etc.

[0036] Communication interface 13 is used for communication between the aforementioned electronic device and other devices, including a network interface and a user interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a Wi-Fi interface, Bluetooth interface, etc.), typically used to establish communication connections between the electronic device and other electronic devices. The user interface may be a display, an input unit (such as a keyboard), or optionally, a standard wired or wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen, etc. The display may also be appropriately referred to as a screen or display unit, used to display information processed in the electronic device and to display a visual user interface.

[0037] Figure 2 Only electronic devices with components are shown; it will be understood by those skilled in the art that... Figure 2 The structure shown does not constitute a limitation on the electronic device and may include fewer or more components than shown, or combine certain components, or have different component arrangements.

[0038] For example, a power supply, although not shown, may also include a power source (such as a battery) to power various components. Preferably, the power supply can be logically connected to at least one processor 10 via a power management device, thereby enabling functions such as charging management, discharging management, and power consumption management. The power supply may also include one or more DC or AC power sources, recharging devices, power fault detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device may also include various sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be elaborated further here.

[0039] It should be understood that the embodiments are for illustrative purposes only and are not limited to this structure in the scope of the patent application.

[0040] The power outage location program based on multi-weighted verification stored in memory 11 of the electronic device is a combination of multiple computer programs. When run in processor 10, it can achieve the following: A parameter matrix R of m×5 dimensions is constructed for each feeder daily; Initialize the m×5 dimensional fault matrix X as an all-zero matrix, and update the values ​​of the fault matrix X according to the transformer fault alarm signals received from each feeder. The fault matrix X is multiplied bitwise by the parameter matrix R to obtain the aggregation result matrix Y, and the fault hierarchy is aggregated according to the preset triggering conditions. Based on the sum s of the first column of the fault matrix X and the aggregation result matrix Y, determine the scope and type of power outage; Repeat the above two steps at intervals. If the results are consistent multiple times, the power outage type is confirmed.

[0041] Specifically, the specific implementation method of the above computer program by the processor 10 can be found in [reference needed]. Figure 1 The descriptions of the relevant steps in the corresponding embodiments are not repeated here.

[0042] Furthermore, if the modules / units integrated into an electronic device are implemented as software functional units and sold or used as independent products, they can be stored in a non-volatile computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, a computer-readable medium can include: any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, and read-only memory (ROM).

[0043] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor of an electronic device, can perform the following: A parameter matrix R of m×5 dimensions is constructed for each feeder daily; Initialize the m×5 dimensional fault matrix X as an all-zero matrix, and update the values ​​of the fault matrix X according to the transformer fault alarm signals received from each feeder. The fault matrix X is multiplied bitwise by the parameter matrix R to obtain the aggregation result matrix Y, and the fault hierarchy is aggregated according to the preset triggering conditions. Based on the sum s of the first column of the fault matrix X and the aggregation result matrix Y, determine the scope and type of power outage; Repeat the above two steps at intervals. If the results are consistent multiple times, the power outage type is confirmed.

[0044] In the several embodiments provided by this invention, it should be understood that the disclosed devices, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and other division methods may be used in actual implementation.

[0045] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0046] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in the form of hardware plus software functional modules.

[0047] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0048] Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be embraced within the invention. No appended diagram markings in the claims should be construed as limiting the scope of the claims.

[0049] The embodiments of this application can acquire and process relevant data based on artificial intelligence technology. Artificial intelligence (AI) is the theory, method, technology, and application system that uses digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use that knowledge to obtain optimal results.

[0050] Furthermore, although the operations of the method of the present invention are described in a specific order in the accompanying drawings, this does not require or imply that these operations must be performed in that specific order, or that all the operations shown must be performed to achieve the desired result. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step, and / or one step may be broken down into multiple steps.

[0051] It should be understood that those skilled in the art can make improvements or modifications based on the above description, and all such improvements and modifications should fall within the protection scope of the appended claims.

[0052] The present invention has been described above with reference to the accompanying drawings. Obviously, the implementation of the present invention is not limited to the above-described manner. Any improvements made using the inventive concept and technical solution of the present invention, or the direct application of the inventive concept and technical solution of the present invention to other situations without modification, are all within the protection scope of the present invention.

Claims

1. A power outage location method based on multi-weighted verification, characterized in that, Includes the following steps: Step S1: Construct an m×5 dimension parameter matrix R for each feeder every day; where m is the total number of transformers managed by a single feeder, each row in the parameter matrix R represents one transformer managed by the feeder, and each row includes 5 fixed equipment parameters. Step S2: Initialize the m×5 dimension fault matrix X as an all-zero matrix, and update the value of the fault matrix X according to the transformer fault alarm signal received for each feeder; wherein, each row of the fault matrix X corresponds to one transformer under the jurisdiction of the feeder, and the five elements of each row correspond to five types of power outages. Step S3: Multiply the fault matrix X and the parameter matrix R by each element to obtain the aggregation result matrix Y, and aggregate the fault levels according to the preset triggering conditions. Step S4: Determine the power outage range and type based on the sum s of the first column of the fault matrix X and the aggregation result matrix Y; Step S5: Repeat steps S3 and S4 at intervals. If the results are consistent multiple times, the power outage type is confirmed.

2. The power outage location method based on multi-weighted verification according to claim 1, characterized in that, The meanings of the five fixed equipment parameters in each row of the parameter matrix R are as follows: transformer power outage verification weight, phase power outage verification weight, branch power outage verification weight, branch power outage verification weight, and single user power outage verification weight. The five types of power outages are transformer power outage, phase power outage, branch power outage, branch power outage, and single user power outage.

3. The power outage location method based on multi-weighted verification according to claim 2, characterized in that, The transformer outage verification weight is fixed at 1; the phase outage verification weight of a regular transformer area is fixed at 1, and the phase outage verification weight of a dedicated transformer is fixed at 0; the branch outage verification weight is 1 / number of branches under the transformer; the branch outage verification weight of a regular transformer area is fixed at 1, and the branch outage verification weight of a dedicated transformer is fixed at 0; the single user outage verification weight is 1 / total number of user meters under the transformer.

4. The power outage location method based on multi-weighted verification according to claim 2, characterized in that, The parameter vector in the i-th row of the parameter matrix R of the ordinary transformer area is ri=[1,1,1 / Ni,1,1 / Mi], where Ni represents the number of branches under the i-th transformer and Mi represents the number of meters under the i-th transformer; the parameter vector in the i-th row of the parameter matrix R of the special transformer is ri=[1,0,0,0,0]. The parameter vector of the i-th row of the fault matrix X is xi; the parameter vector of the i-th row of the aggregation result matrix Y is yi = xi × ri.

5. The power outage location method based on multi-weighted verification according to claim 4, characterized in that, In step S2, updating the fault matrix X based on the received transformer fault alarm signals for each feeder includes: In response to power outage alarms, load drops or low-voltage trip signals reported by the load control terminal or distribution transformer terminal, set xi[0] to 1; In response to the phase loss operation signal detected by the distribution transformer terminal, xi[1] is set to 1; In response to the power outage alarm signal of the transformer reported by the operation and distribution system, the value of xi[2] is incremented by 1; In response to the branch line power outage alarm signal reported by the branch line terminal under the transformer, set xi[3] to 1; In response to the low-voltage meter power outage alarm signal reported by the low-voltage user meter under the transformer, the value of xi[4] is incremented by 1.

6. The power outage location method based on multi-weighted verification according to claim 5, characterized in that, In step S3, the preset triggering conditions include: If xi[4]>2, then set xi[3]=1; If xi[2]=0 and (xi[4]×ri[4])>50%, then set yi[2]=1; If xi[0]=0 and (xi[4]×ri[4])≥90%, then set yi[0]=1; If xi[0]=0 and (xi[2]×ri[2])≥75%, then set yi[0]=1.

7. The power outage location method based on multi-weighted verification according to claim 4, characterized in that, In step S4, determining the scope and type of power outage includes: If s / m ≥ 50%, it is determined that the line is out of power; If s>2 and s / m<50%, then the line segment is determined to be out of power. If s=1, then it is determined that a single transformer is out of power; If s=0, the power outage type is determined according to the aggregation result matrix Y: if yi[1]=1, it is a phase power outage; if yi[2]=1, it is a branch power outage; if yi[3]=1, it is a branch power outage; if yi[4]=1, it is a single meter power outage.

8. The power outage location method based on multi-weighted verification according to claim 1, characterized in that, In step S5, the interval is 5 minutes, and the number of consecutive steps is 3.

9. An electronic device, characterized in that, include: At least one processor; as well as, A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the power outage location method based on multi-weighted verification as described in any one of claims 1 to 7.

10. A computer-readable medium storing computer-executable instructions, characterized in that, It includes a data storage area and a program storage area. The data storage area stores the created data, and the program storage area stores the computer program. When the computer program is executed by the processor, it implements the power outage location method based on multi-weight verification as described in any one of claims 1 to 8.

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