Distribution network line rapid power restoration capability assessment method and device, terminal equipment and storage medium

Abstract

The invention discloses a distribution network line rapid power recovery capability assessment method and device, terminal equipment and a storage medium, and belongs to the field of power distribution networks. The method comprises the following steps: dividing a to-be-evaluated distribution network line into a plurality of blocks according to grid structure data, automatic switch data and equipment data of the to-be-evaluated distribution network line; determining a first user number corresponding to each block according to the user data; determining the equivalent equipment quantity of each block according to the equipment data; after block fault simulation is carried out on all blocks, the number of second users capable of supplying power in other non-fault blocks is counted according to the topological structure diagram and the number of the first users; according to the first user number and the second user number, calculating a power supply user ratio under the condition of fault simulation of each block; and according to the user ratio and the equivalent equipment quantity, calculating to obtain a rapid power recovery capability assessment value of the distribution network line to be assessed. By implementing the method, the problem of low efficiency of a manual evaluation mode in the prior art can be solved.

Description

Technical Field

[0001] This invention relates to the field of power distribution network technology, and in particular to a method, apparatus, terminal equipment, and storage medium for assessing the rapid power restoration capability of power distribution lines. Background Technology

[0002] A distribution network refers to a power grid that receives electrical energy from the transmission network or regional power plants and distributes it locally or tiered according to voltage to various users through distribution facilities. It consists of overhead lines, cables, poles, distribution transformers, disconnect switches, reactive power compensators, and some ancillary facilities, playing a crucial role in distributing electrical energy within the power grid. With the advancement of smart grid construction, the reliability of power supply from the distribution network directly impacts people's livelihoods and socio-economic development. When a distribution network line fails, the ability to quickly restore power has become one of the core indicators for measuring the level of power supply service.

[0003] However, the current assessment method for the rapid power restoration capability of distribution network lines mainly relies on the manual judgment of operation and maintenance personnel based on the single-line diagram of the line. The operation and maintenance personnel need to manually traverse the fault impact range and power transfer path based on the single-line diagram of the line and other basic data. Due to the complex structure, diverse equipment and flexible operation mode of distribution network lines, the manual assessment method is inefficient. Summary of the Invention

[0004] This invention provides a method, device, terminal equipment, and storage medium for assessing the rapid power restoration capability of distribution network lines. It can effectively solve the problem of low efficiency in the existing technology, which relies on manual traversal of line diagrams and other basic data to sort out the scope of fault impact and power transfer paths.

[0005] An embodiment of the present invention provides a method for assessing the rapid power restoration capability of distribution network lines, comprising: Obtain network structure data, automation switch data, user data, and equipment data of the distribution network lines to be evaluated; Based on the grid structure data, the automated switch data, and the equipment data, the distribution network line to be evaluated is divided into blocks to obtain several blocks; The number of first users corresponding to each block is determined based on the user data; and the equivalent number of devices in each block is determined based on the device data. Perform block failure simulation on several blocks, and after all blocks have been simulated, count the number of second users who can be powered in the remaining non-faulty blocks based on the number of first users. Based on the first number of users and the second number of users, calculate the percentage of users that can be powered under the fault simulation of each block; Based on the user ratio and the equivalent number of devices, the rapid power restoration capability assessment value of the distribution network line to be evaluated is calculated.

[0006] Furthermore, based on the network structure data, the automated switch data, and the equipment data, the distribution network lines to be evaluated are divided into blocks, resulting in several blocks, including: Based on the network structure data, the automated switch data, and the equipment data, a topology diagram of the line to be evaluated is generated; Based on the topology diagram and the automated switch data, the distribution network lines to be evaluated are divided into blocks to obtain several blocks.

[0007] Furthermore, the network structure data includes: line node data and line connection relationships; the automated switch data includes the location of the automated switches; Based on the network structure data, the automated switch data, and the equipment data, a topology diagram of the line to be evaluated is generated, including: Using the line node data as topology nodes and the line connection relationships as topology edges, a basic line connectivity graph is constructed. The location of the automated switch is mapped to the corresponding topological edge of the basic circuit connection diagram, and the device data is marked on the basic circuit connection diagram to obtain the initial topology diagram. Traverse all topological nodes and edges to verify the topological integrity of the initial topological graph and obtain the final topological graph of the line to be evaluated.

[0008] Furthermore, the automated switching data also includes: initial on / off state; Based on the topology diagram and the automated switch data, the distribution network lines to be evaluated are divided into blocks, resulting in several blocks, including: Starting from the power point corresponding to the topology diagram, the block boundaries are determined by traversing the topology diagram according to the position of the automated switch. The boundary of each block is traversed according to the initial on / off state; When the initial on / off state is normally open, the current block boundary is determined as the new block boundary; If the initial on / off state is normally closed, continue to extend the current block boundary until all block boundaries have been traversed, resulting in several blocks.

[0009] Furthermore, simulating block failures for several blocks includes: simulating block failures for any one block, simulating block failures for any two blocks, and simulating block failures for more than two blocks.

[0010] Further, based on the user ratio and the equivalent equipment quantity, the rapid power restoration capability assessment value of the distribution network line to be evaluated is calculated, including: Calculate the total equivalent equipment quantity of the distribution network lines to be evaluated based on the equivalent equipment quantity of each block. The failure probability of each block is calculated based on the equivalent number of devices in each block and the total number of equivalent devices. Based on the fault probability and the user ratio, the rapid power restoration capability assessment value of the distribution network line to be evaluated is calculated.

[0011] As an improvement to the above solution, another embodiment of the present invention provides a device for assessing the rapid power restoration capability of distribution network lines, comprising: The data acquisition module is used to acquire network structure data, automation switch data, user data, and equipment data of the distribution network lines to be evaluated; The block division module is used to divide the distribution network line to be evaluated into blocks based on the network structure data, the automation switch data and the equipment data, so as to obtain several blocks. The first calculation module is used to determine the number of first users corresponding to each block based on the user data; and to determine the equivalent number of devices for each block based on the device data. The second calculation module is used to simulate block failures in several blocks, and after simulating block failures in all blocks, to count the number of second users who can be powered in the remaining non-faulty blocks based on the number of the first users. The user ratio calculation module is used to calculate the ratio of users that can be powered under the fault simulation of each block based on the first number of users and the second number of users. The rapid power restoration capability assessment module is used to calculate the rapid power restoration capability assessment value of the distribution network line to be assessed based on the user ratio and the equivalent equipment quantity.

[0012] Furthermore, the second calculation module is used to simulate block failures for several blocks, including: simulating block failures for any one block, simulating block failures for any two blocks, and simulating block failures for two or more blocks.

[0013] Another embodiment of the present invention provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements a method for assessing the rapid power restoration capability of a distribution network line as described in the above embodiments.

[0014] Another embodiment of the present invention provides a computer-readable storage medium including a stored computer program, wherein, when the computer program is executed, it controls the device where the computer-readable storage medium is located to execute the method for assessing the rapid power restoration capability of a distribution network line as described in the above embodiment.

[0015] By implementing this invention, at least the following beneficial effects are achieved: This invention provides a method, apparatus, terminal equipment, and storage medium for assessing the rapid power restoration capability of distribution network lines. The method acquires detailed network structure data, automated switch data, user data, and equipment data to comprehensively and accurately understand the current status of the distribution network. Based on the network structure, automated switch, and equipment data, it divides the complex distribution network system into several relatively independent parts, simulates block faults, and counts the number of users who can be powered in non-faulty blocks. This realistically simulates the actual situation when a distribution network line experiences a fault, intuitively demonstrating the impact of the fault on the power supply to users in different blocks. By calculating the ratio of users who can be powered and combining it with equivalent equipment data... This invention provides a rapid power restoration capability assessment value, quantifying the rapid power restoration capability of distribution network lines. This allows for a convenient and intuitive understanding of the performance of distribution network lines, eliminating the need for manual analysis based on single-line diagrams. Compared to manual traversal, this significantly shortens assessment time and improves work efficiency. It can also quickly assess the rapid power restoration capability of distribution network lines under different network structure data changes. When the structure and equipment of distribution network lines change, manual assessment requires extensive re-analysis and may struggle to keep up with the changes. This invention only requires updating the relevant data to quickly reassess the rapid power restoration capability, reflecting the latest status of distribution network lines in a timely manner. It better adapts to the flexible and ever-changing characteristics of distribution network lines, improving assessment efficiency. Attached Figure Description

[0016] Figure 1 This is a flowchart illustrating a method for assessing the rapid power restoration capability of a distribution network line according to an embodiment of the present invention; Figure 2 This is a block simulation diagram provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the process for calculating the rapid power restoration capability assessment value according to an embodiment of the present invention; Figure 4 This is a schematic diagram of the structure of a distribution network line rapid power restoration capability assessment device provided in an embodiment of the present invention. Detailed Implementation

[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] See Figure 1 To address the inefficiency of existing technologies that rely on manual traversal of line diagrams and other basic data to determine the scope of fault impact and power transfer paths, an embodiment of this invention provides a flowchart illustrating a method for assessing the rapid power restoration capability of distribution network lines, comprising: S1. Obtain network structure data, automation switch data, user data, and equipment data of the distribution network line to be evaluated; Specifically, network structure data refers to network architecture parameters used to describe the physical connections, node distribution, line routes, transformer locations, and other parameters of the distribution network lines to be evaluated. This describes the line topology, including line node data and line connection relationships. Automation switch data includes the positions and initial on / off states of automation switches, reflecting the segmentation and interconnection capabilities of the lines. User data represents the number and distribution of users on the distribution network lines to be evaluated. Equipment data represents the equipment on the distribution network lines to be evaluated. Network structure data, automation switch data, user data, and equipment data of the distribution network lines to be evaluated are obtained through power information systems, field surveys, or sensor data acquisition, providing the foundational data for subsequent analysis.

[0019] S2. Based on the grid structure data, the automated switch data, and the equipment data, the distribution network line to be evaluated is divided into blocks to obtain several blocks; Specifically, based on the network structure data, the automated switch data, and the equipment data, the distribution network lines to be evaluated are divided into blocks, resulting in several blocks, including: Based on the network structure data, the automated switch data, and the equipment data, a topology diagram of the line to be evaluated is generated; Based on the topology diagram and the automated switch data, the distribution network lines to be evaluated are divided into blocks to obtain several blocks.

[0020] In a preferred embodiment of the present invention, the topology diagram graphically describes the connection relationships between nodes (such as buses, transformers, and switches) and edges (such as lines and cables) of the distribution network, intuitively displaying the network hierarchy, segmentation, and interconnection structure, and serving as the core basis for block division. Based on network structure data, automated switch data (such as automated switch locations), and equipment data (such as transformer parameters), an electrical connection model of the distribution network to be evaluated is constructed using power system simulation software or graphical tools, forming a visualized topology diagram. Using automated switches as boundaries, the lines in the topology diagram are divided into multiple independent power supply areas (blocks). Each block is defined by a sectionalizing switch or a tie switch, ensuring that in the event of a fault, the faulty area can be isolated through switch operation, and the load in the non-faulty area can be transferred using the tie switch.

[0021] The topology diagram clearly presents the hierarchical relationships of the lines, facilitating the location of fault impact areas. Block partitioning breaks down the complex network into independently assessable units, reducing the complexity of power restoration capability assessment. For example, when a fault occurs within a block, the boundary switches of that block can be quickly identified, preventing the fault from spreading to other blocks. Block partitioning based on switch locations directly corresponds to actual power supply logic (e.g., sectionalizing switches for fault isolation, tie switches for load transfer), ensuring consistency between assessment results and on-site maintenance strategies. For instance, in fault simulations, boundary blocks containing tie switches can prioritize cross-block power supply through switch closing, improving power restoration efficiency. Unified block partitioning rules ensure the comparability of assessment results for different lines, facilitating the establishment of industry standards or internal enterprise assessment systems. For example, by comparing the equivalent equipment quantities of different lines, lines with insufficient power restoration capability can be quickly identified.

[0022] Preferably, the network structure data includes: line node data and line connection relationships; the automated switch data includes the location of the automated switches; Based on the network structure data, the automated switch data, and the equipment data, a topology diagram of the line to be evaluated is generated, including: Using the line node data as topology nodes and the line connection relationships as topology edges, a basic line connectivity graph is constructed. The location of the automated switch is mapped to the corresponding topological edge of the basic circuit connection diagram, and the device data is marked on the basic circuit connection diagram to obtain the initial topology diagram. Traverse all topological nodes and edges to verify the topological integrity of the initial topological graph and obtain the final topological graph of the line to be evaluated.

[0023] The mapping relationship between automated switches and line edges enables rapid identification of switches requiring tripping in the event of a fault, narrowing the outage area. Labeled tie switch locations and initial states provide a path for load transfer to non-faulty areas. Structured graphical models replace traditional text or tabular data, reducing the complexity of manual analysis. Labels on equipment data and switch statuses provide quantitative data for distribution network upgrades (such as adding switches or expanding transformer capacity).

[0024] Preferably, the automated switching data further includes: initial on / off state; Based on the topology diagram and the automated switch data, the distribution network lines to be evaluated are divided into blocks, resulting in several blocks, including: Starting from the power point corresponding to the topology diagram, the block boundaries are determined by traversing the topology diagram according to the position of the automated switch. The boundary of each block is traversed according to the initial on / off state; When the initial on / off state is normally open, the current block boundary is determined as the new block boundary; If the initial on / off state is normally closed, continue to extend the current block boundary until all block boundaries have been traversed, resulting in several blocks.

[0025] Blocks are divided based on the actual on / off state of switches (e.g., normally open during planned maintenance, normally closed during normal operation), avoiding the disconnect between traditional "static division" and actual operation. For example, if a switch is in a normally open state due to renovation, its location automatically becomes the block boundary, allowing for accurate simulation of scenarios where the switch cannot participate in load transfer during evaluation. When tie switches are normally closed, adjacent blocks are considered the same power supply unit, enabling rapid cross-block power transfer in case of faults. For example, after a fault in a mainline block, power can be "borrowed" from adjacent blocks through normally closed tie switches, increasing the rate of restored power to users. By dynamically adjusting block boundaries based on on / off states, different network structures (e.g., tree-like, ring-like) can be effectively divided. For example, in a ring network, normally open sectionalizing switches break the ring network into radial blocks, allowing for evaluation based on radial logic in case of faults. Boundaries are directly determined based on switch states, avoiding the need to analyze each node of the entire line individually.

[0026] S3. Determine the number of first users corresponding to each block based on the user data; and determine the equivalent number of devices for each block based on the device data; In a preferred embodiment of the present invention, the number of users in each block (the first number of users) is counted, and the devices are converted into an equivalent number of devices according to their importance or failure probability.

[0027] S4. Perform block failure simulation on several blocks, and after all blocks have been simulated, count the number of second users who can be powered in the remaining non-faulty blocks based on the number of the first users. Specifically, block fault simulation for several blocks includes: simulating block faults for any single block, simulating block faults for any two blocks, and simulating block faults for more than two blocks. Block fault simulation uses simulation technology to simulate equipment faults within a block (such as line tripping, transformer damage, etc.) and analyzes the impact of the faults on the surrounding power supply.

[0028] In a preferred embodiment of the present invention, each block failure is simulated one by one. Through topology analysis and switching operations, the number of users whose power supply can be restored in other blocks (the second number of users) is calculated. For example, after simulating a failure in block A, the load is transferred to blocks B and C through tie switches. The number of users whose power supply can be restored in the non-faulty blocks is counted as 350 (originally 400 users in blocks B and C, minus the 50 users affected by the failure). By quantifying the power supply recovery capability of the system after a failure, the effectiveness of the network structure and switching strategy is reflected.

[0029] S5. Based on the first number of users and the second number of users, calculate the percentage of users that can be powered under the fault simulation of each block. In a preferred embodiment of the present invention, the user ratio = (number of second users / number of first users) × 100%, is used to measure the recovery rate of users within a block after a failure. For example, when block A fails, the number of first users is 200, the number of second users is 180, and the user ratio is 90%, which directly reflects the degree of impact of the block failure on users.

[0030] S6. Based on the user ratio and the equivalent equipment quantity, calculate the evaluation value of the rapid power restoration capability of the distribution network line to be evaluated.

[0031] Specifically, such as Figure 3 As shown, based on the user ratio and the equivalent equipment quantity, the rapid power restoration capability assessment value of the distribution network line to be evaluated is calculated, including: S601. Calculate the total equivalent equipment quantity of the distribution network line to be evaluated based on the equivalent equipment quantity of each block. S602. Calculate the failure probability of each block based on the equivalent number of devices in each block and the total number of equivalent devices. S603. Based on the fault probability and the user ratio, calculate the rapid power restoration capability assessment value of the distribution network line to be evaluated.

[0032] In a preferred embodiment of the present invention, the total equivalent equipment quantity represents the sum of the equivalent equipment quantities of different types and failure rates converted into a unified standard, used to quantify the overall equipment scale of the line. The rapid power restoration capability assessment value comprehensively reflects the quantitative index of the line's ability to quickly restore power supply after a fault, with a value range of 0-1; a higher value indicates a stronger power restoration capability. The equivalent equipment quantities of each block are added together to obtain the total equivalent equipment quantity of the entire line. For example, if the equivalent equipment quantity of block 1 is 100 and that of block 2 is 150, then the total is 250. The proportion of the equivalent equipment quantity of each block to the total is its failure probability. For example, block 1 accounts for 40% (100 / 250), and block 2 accounts for 60% (150 / 250).

[0033] High-risk areas are identified by fault probability, allowing for priority optimization of automation configurations in densely populated equipment areas. Combining this with user ratios reflects the actual power supply guarantee capability after a fault, avoiding the one-sided focus on the number of devices alone. This provides data support for distribution network planning; for example, self-healing control technologies can be prioritized for areas with high fault probability but low user ratios. Standardizing calculations for different equipment types facilitates comparisons of power restoration capabilities across regions and time periods.

[0034] In another preferred embodiment of the present invention, the single-line diagram is transformed into a simplified topology diagram based on the network structure data, automation switch data, and equipment data; then, the distribution network line to be evaluated is divided into blocks, and the number of users in each block is counted, i.e., the first number of users A corresponding to each block; each block is simulated for fault, and the corresponding blocks that can maintain or restore power supply (the remaining non-faulty blocks) and the second number of users B (other blocks connected to the substation outgoing switches or automation interconnection switches, excluding the faulty blocks, can maintain or quickly restore power supply) are counted; the ratio of users that can maintain or restore power supply C=A / B is calculated for each of the above cases; based on the equivalent equipment quantity D, the probability E that a fault may occur at that location is calculated; based on the fault probability and the user ratio, the rapid power restoration capability assessment value of the distribution network line to be evaluated is obtained, which is the rapid power restoration capability assessment value of the distribution network line to be evaluated (the calculated value of the rapid power restoration effect of distribution automation theory). A unified standard for evaluating the rapid power restoration capability of distribution network lines has been established, deepening the understanding of this capability and providing direction for distribution network line upgrades. Furthermore, this embodiment establishes a rapid power restoration capability analysis system for distribution network lines, providing a powerful tool for assessing this capability. This eliminates the need for rote memorization and comparison of diagrams, greatly improving work efficiency. Assessing the rapid power restoration capability of distribution network lines through this embodiment is more convenient and reliable.

[0035] In another preferred embodiment of the invention, such as Figure 2As shown, T5, T9, T10, T15, T20, and T30 represent automated switches at different locations. Based on the network structure data, the automated switch data, and the equipment data, the distribution network line to be evaluated is divided into blocks numbered 1-6. Then, based on the user data, the number of first users corresponding to each block is determined. For example, block 1 corresponds to 2 households, block 2 to 10 households, block 3 to 8 households, block 4 to 7 households, block 5 to 9 households, and block 6 to 4 households, for a total of 40 households. Block fault simulations are performed on several blocks. After block fault simulations are performed on all blocks, the number of second users who can be powered in the remaining non-faulty blocks is counted based on the number of first users. As shown in Table 1: Table 1 A fault simulation is performed on block 1. A power outage affects blocks 1, 4, and 5. The remaining non-faulty blocks are blocks 2, 3, and 6. The number of second users who can maintain or restore power in the remaining non-faulty blocks is 22. Based on the number of first and second users, the percentage of users with available power under the fault simulation for each block is calculated to be 55%. A fault simulation is performed on block 2. A power outage affects blocks 2 and 6. The remaining non-faulty blocks are blocks 1, 3, 4, and 5. The number of second users who can maintain or restore power in the remaining non-faulty blocks is 26. Based on the number of first and second users, the percentage of users with available power under the fault simulation for each block is calculated to be 65%. A fault simulation is performed on block 3. A power outage affects block 3. The remaining non-faulty blocks are blocks 1, 2, 4, 5, and 6. The number of second users who can maintain or restore power in the remaining non-faulty blocks is 32. Based on the number of first and second users, the percentage of users with available power under the fault simulation for each block is calculated to be 80%. A fault simulation is performed on block 4. A power outage affects blocks 4 and 5. The remaining non-faulty blocks are blocks 1, 2, 3, and 6. The number of second users who can maintain or restore power in the remaining non-faulty blocks is 24. Based on the number of first and second users, the percentage of users with available power under the fault simulation for each block is calculated to be 60%. A fault simulation is performed on block 5. A power outage affects block 5. The remaining non-faulty blocks are blocks 1, 2, 3, 4, and 6. The number of second users who can maintain or restore power in these remaining non-faulty blocks is 31. Based on the number of first and second users, the percentage of users with available power under the fault simulation for each block is calculated to be 77.5%. A fault simulation is performed on block 6. A power outage affects block 6. The remaining non-faulty blocks are blocks 1, 2, 3, 4, and 5. The number of second users who can maintain or restore power in these remaining non-faulty blocks is 22. Based on the number of first and second users, the percentage of users with available power under the fault simulation for each block is calculated to be 90%. Therefore, the minimum rapid power restoration efficiency of the above distribution automation theory is 55%.

[0036] The system divides the cables, transformers, and other equipment on the power line into multiple non-overlapping automated blocks using automated switches. It then simulates a scenario where a device in one block fails, preventing power restoration to all devices and users within that block. This assesses the ability of other blocks to quickly restore power and generates various power transfer and restoration schemes for different simulated scenarios. The simulation results are used to locate and classify faults in each automated block, distinguishing between safe, defective, and warning blocks to strengthen the control and maintenance of faulty blocks. Furthermore, the block power outage simulation function allows for integration with real-world scenarios. Based on the actual location of the faulty device in the block, the system scheme is evaluated to generate the optimal isolation and restoration operation plan. The system selects the best and fastest solution from among several options to remotely trip the automated switches on both sides of the problematic block for fault isolation. Simultaneously, referring to the location of the tie switch in the plan, the line power transfer and restoration operation is completed by closing the tie switch, ensuring rapid power restoration.

[0037] By implementing this embodiment, detailed network structure data, automated switch data, user data, and equipment data can be obtained to comprehensively and accurately understand the current status of the distribution network. Based on the network structure, automated switch, and equipment data, block division allows for the reasonable decomposition of the complex distribution network system into multiple relatively independent parts. Block fault simulation and statistical analysis of the number of users who can be powered in non-faulty blocks can realistically simulate the actual situation when a distribution network fault occurs, intuitively demonstrating the impact of the fault on the power supply to users in different blocks. By calculating the ratio of users who can be powered and combining it with equivalent equipment quantities, a rapid power restoration capability assessment value is derived, thus enabling the distribution network to... The rapid power restoration capability of distribution network lines is quantified, providing a convenient and intuitive understanding of their performance. This eliminates the need for manual analysis based on single-line diagrams, significantly reducing evaluation time and improving efficiency compared to manual traversal. It also allows for rapid assessment of the rapid power restoration capability of distribution network lines even under varying network structure data. When the structure and equipment of distribution network lines change, manual assessment requires extensive re-analysis and may struggle to keep pace with the changes. This invention, however, only requires updating the relevant data to quickly reassess the rapid power restoration capability, reflecting the latest status of distribution network lines and better adapting to the flexible and ever-changing nature of distribution network lines, thus improving evaluation efficiency.

[0038] See Figure 4 This is a schematic diagram of a distribution network line rapid power restoration capability assessment device provided in an embodiment of the present invention, comprising: The data acquisition module is used to acquire network structure data, automation switch data, user data, and equipment data of the distribution network lines to be evaluated; The block division module is used to divide the distribution network line to be evaluated into blocks based on the network structure data, the automation switch data and the equipment data, so as to obtain several blocks. The first calculation module is used to determine the number of first users corresponding to each block based on the user data; and to determine the equivalent number of devices for each block based on the device data. The second calculation module is used to simulate block failures in several blocks, and after simulating block failures in all blocks, to count the number of second users who can be powered in the remaining non-faulty blocks based on the number of the first users. The user ratio calculation module is used to calculate the ratio of users that can be powered under the fault simulation of each block based on the first number of users and the second number of users. The rapid power restoration capability assessment module is used to calculate the rapid power restoration capability assessment value of the distribution network line to be assessed based on the user ratio and the equivalent equipment quantity.

[0039] Specifically, the second calculation module is used to simulate block failures for several blocks, including: simulating block failures for any one block, simulating block failures for any two blocks, and simulating block failures for two or more blocks.

[0040] This invention provides a device for assessing the rapid power restoration capability of a distribution network. The device comprises: a data acquisition module that acquires network structure data, automated switch data, user data, and equipment data of the distribution network to be assessed; a block division module that divides the distribution network to be assessed into several blocks based on the network structure data, automated switch data, and equipment data; a first calculation module that determines the number of first users corresponding to each block based on the user data and the equivalent equipment quantity of each block based on the equipment data; a second calculation module that performs block fault simulation on several blocks, and after all blocks have undergone block fault simulation, calculating the number of second users who can supply power in the remaining non-faulty blocks based on the number of first users; a user ratio calculation module that calculates the user ratio that can supply power under the fault simulation conditions for each block based on the number of first users and the number of second users; and finally, a rapid power restoration capability assessment module that calculates the rapid power restoration capability assessment value of the distribution network to be assessed based on the user ratio and the equivalent equipment quantity.

[0041] By acquiring detailed network structure data, automated switch data, user data, and equipment data, a comprehensive and accurate understanding of the current status of the distribution network can be achieved. Based on the network structure, automated switch, and equipment data, block division allows for the rational decomposition of the complex distribution network system into multiple relatively independent parts. Block fault simulation can be performed, and the number of users with available power in non-faulty blocks can be statistically analyzed. This realistically simulates the actual situation of distribution network faults, intuitively demonstrating the impact of faults on power supply to users in different blocks. By calculating the ratio of users with available power and combining it with equivalent equipment quantities, a rapid power restoration capability assessment value is derived, enabling the rapid restoration of the distribution network. The quantification of electrical capacity provides a convenient and intuitive understanding of the performance of distribution network lines, eliminating the need for manual analysis based on single-line diagrams. Compared to manual traversal, this significantly shortens evaluation time and improves work efficiency. It can also quickly assess the rapid power restoration capability of distribution network lines under different network structure data changes. When the structure and equipment of distribution network lines change, manual evaluation requires a large amount of re-analysis and may be difficult to keep up with the changes in a timely manner. This invention only requires updating the corresponding data to quickly reassess the rapid power restoration capability, promptly reflecting the latest status of distribution network lines, better adapting to the flexible and ever-changing characteristics of distribution network lines, and improving evaluation efficiency.

[0042] It should be noted that the device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units 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. Furthermore, in the accompanying drawings of the device embodiments provided by this invention, the connection relationships between modules indicate that they have communication connections, which can be specifically implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement this without any creative effort.

[0043] Those skilled in the art will understand that, for convenience and brevity, the specific working process of the device described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0044] Another embodiment of the present invention provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements a method for assessing the rapid power restoration capability of a distribution network line as described in the above embodiments. The terminal device may be a desktop computer, laptop, handheld computer, cloud server, or other computing device. The terminal device may include, but is not limited to, a processor and a memory.

[0045] The processor 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. The general-purpose processor can be a microprocessor or any conventional processor. The processor is the control center of the terminal device, connecting all parts of the terminal device via various interfaces and lines.

[0046] The memory can be used to store the computer program. The processor implements various functions of the terminal device by running or executing the computer program stored in the memory and calling data stored in the memory. The memory may mainly include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function, etc.; the data storage area may store data created based on the use of the mobile phone, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, RAM, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device or other volatile solid-state storage device.

[0047] Another embodiment of the present invention provides a computer-readable storage medium including a stored computer program, wherein, when the computer program is executed, it controls the device where the computer-readable storage medium is located to execute the method for assessing the rapid power restoration capability of a distribution network line as described in the above embodiment.

[0048] The storage medium is a computer-readable storage medium, and the computer program is stored in the computer-readable storage medium. When the computer program is executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable file, or some intermediate form. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording media, USB flash drive, portable hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc.

[0049] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for assessing the rapid power restoration capability of distribution network lines, characterized in that, include: Obtain network structure data, automation switch data, user data, and equipment data of the distribution network line to be evaluated; Based on the grid structure data, the automated switch data, and the equipment data, the distribution network line to be evaluated is divided into blocks to obtain several blocks; The number of first users corresponding to each block is determined based on the user data; And determine the equivalent number of devices for each block based on the device data; Perform block failure simulation on several blocks, and after all blocks have been simulated, count the number of second users who can be powered in the remaining non-faulty blocks based on the number of the first users. Based on the first number of users and the second number of users, calculate the percentage of users that can be powered under the fault simulation of each block; Based on the user ratio and the equivalent number of devices, the rapid power restoration capability assessment value of the distribution network line to be evaluated is calculated.

2. The method for assessing the rapid power restoration capability of a distribution network line as described in claim 1, characterized in that, Based on the network structure data, the automated switch data, and the equipment data, the distribution network lines to be evaluated are divided into blocks, resulting in several blocks, including: Based on the network structure data, the automated switch data, and the equipment data, a topology diagram of the line to be evaluated is generated; Based on the topology diagram and the automated switch data, the distribution network lines to be evaluated are divided into blocks to obtain several blocks.

3. The method for assessing the rapid power restoration capability of a distribution network line as described in claim 2, characterized in that, The grid structure data includes: line node data and line connection relationships; the automated switch data includes the location of automated switches. Based on the network structure data, the automated switch data, and the equipment data, a topology diagram of the line to be evaluated is generated, including: Using the line node data as topology nodes and the line connection relationships as topology edges, a basic line connectivity graph is constructed. The location of the automated switch is mapped to the corresponding topological edge of the basic circuit connection diagram, and the device data is marked on the basic circuit connection diagram to obtain the initial topology diagram. Traverse all topological nodes and edges to verify the topological integrity of the initial topological graph and obtain the final topological graph of the line to be evaluated.

4. The method for assessing the rapid power restoration capability of a distribution network line as described in claim 3, characterized in that, The automated switch data also includes: initial on / off state; Based on the topology diagram and the automated switch data, the distribution network lines to be evaluated are divided into blocks, resulting in several blocks, including: Starting from the power point corresponding to the topology diagram, the block boundaries are determined by traversing the topology diagram according to the position of the automated switch. The boundary of each block is traversed according to the initial on / off state; When the initial on / off state is normally open, the current block boundary is determined as the new block boundary; If the initial on / off state is normally closed, continue to extend the current block boundary until all block boundaries have been traversed, resulting in several blocks.

5. The method for assessing the rapid power restoration capability of a distribution network line as described in claim 1, characterized in that, Block failure simulation for several blocks includes: simulating block failure for any one block, simulating block failure for any two blocks, and simulating block failure for more than two blocks.

6. The method for assessing the rapid power restoration capability of a distribution network line as described in claim 1, characterized in that, Based on the user ratio and the equivalent equipment quantity, the rapid power restoration capability assessment value of the distribution network line to be evaluated is calculated, including: Calculate the total equivalent equipment quantity of the distribution network lines to be evaluated based on the equivalent equipment quantity of each block. The failure probability of each block is calculated based on the equivalent number of devices in each block and the total number of equivalent devices. Based on the fault probability and the user ratio, the rapid power restoration capability assessment value of the distribution network line to be evaluated is calculated.

7. A device for assessing the rapid power restoration capability of a distribution network line, characterized in that, include: The data acquisition module is used to acquire network structure data, automation switch data, user data, and equipment data of the distribution network lines to be evaluated; The block division module is used to divide the distribution network line to be evaluated into blocks based on the network structure data, the automation switch data and the equipment data, to obtain several blocks. The first calculation module is used to determine the number of first users corresponding to each block based on the user data; And determine the equivalent number of devices for each block based on the device data; The second calculation module is used to simulate block failures in several blocks, and after simulating block failures in all blocks, to count the number of second users who can be powered in the remaining non-faulty blocks based on the number of the first users. The user ratio calculation module is used to calculate the ratio of users that can be powered under the fault simulation of each block based on the first number of users and the second number of users. The rapid power restoration capability assessment module is used to calculate the rapid power restoration capability assessment value of the distribution network line to be assessed based on the user ratio and the equivalent equipment quantity.

8. The device for assessing the rapid power restoration capability of a distribution network line as described in claim 7, characterized in that, The second calculation module is used to simulate block failures for several blocks, including: simulating block failures for any one block, simulating block failures for any two blocks, and simulating block failures for two or more blocks.

9. A terminal device, characterized in that, The device includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor, when executing the computer program, implements a method for assessing the rapid power restoration capability of a distribution network line as described in any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored computer program, wherein, when the computer program is executed, it controls the device where the computer-readable storage medium is located to perform a method for assessing the rapid power restoration capability of a distribution network line as described in any one of claims 1 to 6.

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