A power grid section intelligent identification method and device, electronic equipment and storage medium

Abstract

This invention discloses an intelligent identification method for power grid sections, including a device, electronic equipment, and storage medium. Specifically, it relates to the field of intelligent power grid section identification technology. The method acquires the power grid topology and maintenance plan, automatically identifying long-term sections under normal operating conditions and temporary sections triggered by maintenance as candidate sections. It extracts the end-supply busbars from the candidate sections, determines the electrical connectivity area based on the real-time switch status, extracts the lines connecting to the external power grid to obtain an external connectivity channel set, and compares the external connectivity channel set with the power supply path of the candidate sections to determine whether the candidate section is a closed or open section. This invention addresses the problem that existing section classification relies on manual identification, but the inherent lag in manual operation, coupled with continuous changes in power grid operating conditions, easily leads to untimely section identification, error-prone classification, and potential safety hazards.

Description

Technical Field

[0001] This invention relates to the field of intelligent identification technology for power grid sections, and in particular to an intelligent identification method, device, electronic device, and storage medium for power grid sections. Background Technology

[0002] A power grid section is a collection of multi-circuit power supply paths undertaking a specific constant power transmission task under the N-1 safety control requirement in power system operation and dispatch. The standard for ensuring the minimum conductor diameter in these multiple paths does not exceed 95% of the fault current limit value is used as a benchmark. It is a crucial control boundary for ensuring the safe and stable operation of the power grid. Based on operating characteristics and applicable scenarios, sections can be divided into long-term sections and temporary sections: long-term sections are fixed control objects that exist continuously during normal power grid operation, while temporary sections are dynamic control objects that take effect temporarily under special operating conditions such as power grid equipment maintenance. Furthermore, based on the characteristics of the power supply area, sections can be divided into closed sections and non-closed sections. Closed sections refer to control sections where multiple power supply paths supply an independent power supply area, while non-closed sections have multiple external power supply channels, and their control logic is more complex. Currently, the identification, classification, and parameter configuration of the aforementioned cross-sections rely entirely on manual operation: dispatchers must manually identify the cross-sections and determine their types based on the power grid's operating mode. For non-enclosed cross-sections, the cross-section limits must be manually calculated and then manually entered into the system. The addition and deletion of temporary cross-sections also require manual triggering after continuous tracking of the maintenance status, with no automatic linkage mechanism.

[0003] Due to the continuous changes in power grid operation, the inherent lag in manual operation can easily lead to untimely section identification and classification errors, creating potential safety hazards. Summary of the Invention

[0004] This invention proposes a method, device, electronic device, and storage medium for intelligent identification of power grid sections. It addresses the technical problem that existing section classification relies on manual identification, but the inherent lag in manual operation can easily lead to untimely section identification and classification errors due to continuous changes in power grid operation modes, thus creating potential safety hazards.

[0005] An embodiment of the present invention provides a method for intelligent identification of power grid sections, comprising: Obtain the power grid topology and maintenance plan; wherein, the maintenance plan includes maintenance instructions and corresponding equipment that needs to be maintained; Based on the power grid topology, multiple power supply paths during normal power grid operation are identified and marked as long-term sections; when a maintenance command is detected, the power supply path through which the power transfer occurs after the equipment requiring maintenance is disconnected is identified and marked as a temporary section; the temporary sections and long-term sections are used as candidate sections. For any of the candidate sections, extract the terminal power supply buses corresponding to all power supply paths in the power grid topology; Based on the real-time opening and closing status of the switches corresponding to each electrical branch in the candidate section, starting from all the end power supply busbars, the electrical branches with the switches in the closed state and the connected equipment in the running state are traversed outward, and the electrical connection area is determined according to the traversal results. Within the electrical connectivity area, lines that extend beyond the electrical connectivity area and connect to the external power grid are extracted to obtain a set of external connectivity channels; The lines in the set of external connecting channels are compared with the power supply paths contained in the candidate cross-sections: If all the lines in the set of external connecting channels belong to the power supply path included in the candidate section, then the candidate section is determined to be a closed section. If at least one line in the set of external communication channels does not belong to the power supply path included in the candidate section, then the candidate section is determined to be a non-closed section.

[0006] Furthermore, for each closed section, the real-time power flow of all power supply paths within the closed section is superimposed to obtain the section limit value corresponding to the closed section. For each non-enclosed section, perform N-1 fault simulation on the non-enclosed section, calculate the power flow transfer ratio coefficient corresponding to each power supply path, and perform weighted summation of the real-time power flow of each electrical branch in the non-enclosed section based on the power flow transfer ratio coefficient to obtain the section limit value corresponding to the non-enclosed section.

[0007] Furthermore, based on the real-time opening and closing status of the switches corresponding to each electrical branch within the candidate cross-section, starting from all end power supply buses, the circuit is traversed outwards along electrical branches where the switches are closed and the connected equipment is in operation. The electrical connectivity area is determined based on the traversal results, including: Obtain the real-time on / off status of the switches corresponding to each electrical branch within the candidate cross-section and the operating status of each device on the electrical branch; Exclude electrical branches where the switch is in the open state or the equipment is in the non-operating state. Starting from all end power supply busbars, only traverse electrical branches where the switch is in the closed state and the equipment is in the operating state. The area consisting of all the terminal power supply buses visited and the electrical branches connecting the terminal power supply buses is defined as the electrical connectivity area.

[0008] Furthermore, after considering the temporary and long-term cross-sections as candidate cross-sections, the method further includes: The candidate cross sections are grouped in pairs to obtain multiple combinations of candidate cross sections; For multiple candidate section combinations, calculate the line similarity between two candidate sections within each group; If the line similarity is greater than or equal to a set similarity threshold, determine whether the overall equivalent power flow direction of the two candidate sections is consistent. When the overall equivalent power flow direction of the two candidate sections is consistent, the constraint matching score of the two candidate sections is calculated based on the preset fault safety constraints, section type constraints, and thermal stability constraints. If the constraint matching score is greater than the preset constraint matching score threshold, the candidate section with the lower constraint matching score is removed from the two candidate sections.

[0009] Furthermore, the line similarity is calculated using the following formula: ; in, A represents the line similarity; B represents the set of device IDs for the power supply path contained in the first candidate section among the two candidate sections; C represents the set of device IDs for the power supply path contained in the second candidate section among the two candidate sections. The total number of device IDs for the power supply path included in the first candidate section among the two candidate sections; The total number of device IDs for the power supply path included in the first candidate section among the two candidate sections; The total number of device IDs for the power supply path included in the second candidate section out of the two candidate sections; This represents the number of device IDs shared by both candidate cross sections.

[0010] Furthermore, it also includes: For each candidate section, the thermal stability limit of each power supply path within the candidate section is extracted, and the minimum value among multiple thermal stability limits is taken as the section reference current limit value of the candidate section. Get the current date, and determine the corresponding season type based on the current date; Match the corresponding seasonal environment correction coefficient according to the season type; The product of the cross-sectional reference flow limit value, the N-1 safety control coefficient, and the seasonal environmental correction coefficient is used as the seasonal safety control limit value corresponding to the candidate cross-section. The calculated cross-sectional limits are compared with the seasonal safety control limits for the candidate cross-sections corresponding to the cross-sectional limits: An over-limit warning is triggered when the cross-sectional limit exceeds a preset percentage of the seasonal safety control limit.

[0011] Furthermore, the power flow transfer ratio coefficient is calculated using the following formula: ; Where k is the power flow transfer ratio coefficient; This represents the active power flow before the i-th faulty device N-1 disconnects. This refers to the active power flow after an electrical fault occurs in the j-th electrical branch where the i-th device is located, following the disconnection of the i-th device. Let be the active power flow of the j-th associated branch before the fault.

[0012] An embodiment of the present invention provides a smart identification device for power grid sections, comprising: The data acquisition module is used to acquire the power grid topology and maintenance plan; wherein, the maintenance plan includes maintenance instructions and corresponding equipment that needs to be maintained; The long-term and temporary section identification module is used to identify multiple power supply paths during normal grid operation based on the grid topology and mark them as long-term sections; when a maintenance command is detected, it identifies the power supply path through which the power transfer occurs after the equipment to be maintained is disconnected and marks it as a temporary section, and uses the temporary section and the long-term section as candidate sections. The connectivity region calculation module is used to extract the terminal power supply bus corresponding to all power supply paths in the power grid topology for any candidate section; and based on the real-time opening and closing status of the switches corresponding to each electrical branch in the candidate section, starting from all terminal power supply buses, to traverse outward along the electrical branches where the switches are in the closed state and the connected equipment is in the running state, and to determine the electrical connectivity region based on the traversal results. An external area calculation module is used to extract lines that cross the electrical connectivity area and connect to the external power grid within the electrical connectivity area, thereby obtaining a set of external connectivity channels; The closed / unclosed section identification module is used to compare the lines in the set of external connecting channels with the power supply paths contained in the candidate sections: If all the lines in the set of external connecting channels belong to the power supply path included in the candidate section, then the candidate section is determined to be a closed section; if at least one line in the set of external connecting channels does not belong to the power supply path included in the candidate section, then the candidate section is determined to be a non-closed section.

[0013] An embodiment of the present invention provides an electronic device, including: a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor; wherein, when the processor executes the computer program, it implements the intelligent identification method for power grid sections as described in any one of the present invention.

[0014] One embodiment of the present invention provides a storage medium including a stored computer program, wherein, when the computer program is executed, it controls the device where the storage medium is located to execute the intelligent identification method for power grid sections as described in any one of the present invention.

[0015] The embodiments of the present invention have the following beneficial effects: This invention provides a method, device, electronic equipment, and storage medium for intelligent identification of power grid sections. By acquiring the power grid topology and maintenance plan, it automatically identifies long-term sections based on the normal operation of the power grid and automatically identifies temporary sections when a maintenance command is triggered. This replaces the traditional manual identification method, effectively avoiding the problems of missed or incorrect section designation and ensuring the integrity of section monitoring. A preset independent power supply area identification algorithm automatically determines whether candidate sections are closed or non-closed, replacing the traditional classification method that relies on qualitative judgment based on human experience, making the section classification results objective and controllable. By performing N-1 fault simulation on non-closed sections, it automatically calculates the power flow transfer ratio coefficient and obtains the section limit value through weighted summation, eliminating the manual intervention link, effectively reducing manual calculation errors, and ensuring the accuracy of section control. Simultaneously, by acquiring the maintenance plan in real time and automatically identifying temporary sections when a maintenance command is triggered, temporary sections can dynamically take effect according to the maintenance plan, avoiding monitoring gaps caused by delayed or missed establishment of temporary sections and reducing safety hazards. Attached Figure Description

[0016] Figure 1 This is a flowchart illustrating an intelligent identification method for power grid sections according to an embodiment of the present invention.

[0017] Figure 2 This is a schematic diagram of the structure of a smart grid section identification device provided in an embodiment of the present invention. Detailed Implementation

[0018] 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.

[0019] In the description of this invention, it should be understood that the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, unless otherwise stated, "a plurality of" means two or more.

[0020] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0021] like Figure 1 As shown, one embodiment of the present invention provides a method for intelligent identification of power grid sections, which may include at least: S1: Obtain the power grid topology and maintenance plan; wherein, the maintenance plan includes maintenance instructions and corresponding equipment that needs to be maintained.

[0022] Specifically, power grid topology data and equipment maintenance plan data are collected from the multi-source heterogeneous system of the power grid. The power grid topology data includes the main grid wiring diagram, line connection relationships, substation power supply range, equipment ownership zones and equipment rated parameters (such as current limiting values, rated capacity, etc.), and topology change records (new lines, substation expansion, equipment decommissioning). Equipment maintenance plan data is collected through integration with the OMS equipment maintenance management system and the DCCS dispatch command platform. This data includes maintenance instructions and the equipment requiring maintenance. Maintenance instructions include equipment power outage / restoration plans, maintenance work order numbers, a list of associated lines / equipment, maintenance start and end times, and maintenance type. Maintenance instructions provide linkage signals for temporary section triggering. In this embodiment, the power supply path refers to the power transmission channel constituting the section, including transmission lines and / or transformers.

[0023] S2: Based on the power grid topology, identify multiple power supply paths during normal power grid operation and mark them as long-term sections; when a maintenance command is detected, identify the power supply path through which the power transfer occurs after the equipment to be maintained is disconnected and mark it as a temporary section; use the temporary section and the long-term section as candidate sections.

[0024] In this embodiment, based on the power grid topology, multiple power supply paths during normal power grid operation are identified and marked as long-term sections, specifically including: The system automatically scans the power grid's normal operation mode according to a preset time period. Based on the power grid topology, it identifies the set of multiple power supply paths that undertake power transmission tasks in the power grid and marks them as long-term sections. Based on the topology change records, when a topology change such as the addition of a new line or the expansion of a substation is detected, the system automatically triggers a rescan of the power grid topology to identify the updated set of power supply paths and mark them as long-term sections.

[0025] When a maintenance command is detected, the power supply path through which the power is transferred after the equipment requiring maintenance is disconnected is identified and marked as a temporary interruption, specifically including: Specifically, when a power outage command is issued, the system automatically triggers a temporary section identification process. Based on the equipment information recorded in the maintenance plan, the system simulates the power grid operation state after the equipment is taken out of service, analyzes which power supply paths the power originally flowing through the equipment will be transferred to, and identifies the power supply paths through which the power transfer will occur as a set of temporary power supply paths, marking them as temporary sections. Simultaneously, the system associates the temporary section with the maintenance order number, operation ticket number, effective time, and planned maintenance end time corresponding to the maintenance command, synchronizing the lifecycle of the temporary section with the maintenance plan. When the maintenance plan changes (such as a maintenance delay), the effective period of the temporary section is adjusted accordingly.

[0026] S3: For any candidate section, extract the terminal power supply bus corresponding to all power supply paths in the power grid topology; based on the real-time opening and closing status of the switches corresponding to each electrical branch in the candidate section, take all terminal power supply buses as the starting point, and traverse outward along the electrical branches where the switches are in the closed state and the connected equipment is in the running state, and determine the electrical connection area according to the traversal results.

[0027] In this embodiment, S3 specifically includes: S31: The terminal power supply bus refers to the bus node to which the power is finally delivered by each power supply path within the candidate cross section. Specifically, for each power supply path (transmission line or transformer) within the cross section, the bus connected to its terminal (i.e., the last bus that supplies power to the load side by the power supply path) is obtained, and the terminal buses of all power supply paths are extracted to form an initial node set.

[0028] For example, taking the 220kV Jiangqiao A / B line + Yanhe line section as an example, this section includes three power supply paths: the Jiangqiao A line ends at the Qiaomei substation busbar, the Jiangqiao B line ends at the Yanshan substation busbar, and the Yanhe line ends at the Heshan substation busbar. Therefore, the initial node set includes the Qiaomei substation busbar, the Yanshan substation busbar, and the Heshan substation busbar.

[0029] S32: Taking all the end power supply buses in the initial node set as the starting point, based on the real-time opening and closing status of the switches corresponding to each electrical branch in the candidate section, traverse outwards along the electrical branches where the switches are in the closed state and the connected equipment is in the running state, until no new nodes can be reached.

[0030] In one embodiment of the invention, based on the real-time open / closed status of the switches corresponding to each electrical branch within the candidate cross-section, taking all end power supply buses as the starting point, the process is performed outwards along the electrical branches where the switches are in the closed state and the connected equipment is in the operating state. The electrical connectivity area is determined based on the traversal results, specifically including: Obtain the real-time on / off status of the switches corresponding to each electrical branch within the candidate cross-section and the operating status of each device on the electrical branch; Exclude electrical branches where the switch is in the open state or the equipment is in the non-operating state. Starting from all end power supply busbars, only traverse electrical branches where the switch is in the closed state and the equipment is in the operating state.

[0031] Specifically, electrical branches where the switch is in the open position or the equipment is in a non-operating state, including those where the switch is in the open position or the connected equipment is under maintenance or in cold standby mode, are treated as traversal cutoff points and not included in the connectivity domain. This is because branches under maintenance or in cold standby mode do not constitute an actual electrical connection under the current operating conditions, current cannot pass through them, and they should not be considered as external power supply channels.

[0032] Furthermore, when the bus tie switch or sectionalizing switch within the station is in the open position, the station is divided into multiple independent electrical sub-regions, with the switch serving as the boundary, and each sub-region is traversed separately. The open position of the bus tie switch or sectionalizing switch means that the two bus sections within the station are electrically isolated and operate independently; therefore, they need to be searched separately, and the bus sections on both sides of the open switch cannot be considered as the same electrically connected area.

[0033] The area consisting of all the terminal power supply buses visited and the electrical branches connecting the terminal power supply buses is defined as the electrical connectivity area.

[0034] The above traversal process is essentially a multi-source breadth-first traversal in graph theory: using all the end power supply buses in the initial node set as multiple starting nodes, it expands outward layer by layer, visiting all reachable end power supply buses along the currently connected electrical branches, until it can no longer expand. All visited end power supply buses and the electrical branches connecting these end power supply buses together constitute the electrically connected region.

[0035] For example, taking the determination of the closed section of the 220kV Jiangqiao A / B line + Yanhe line as an example: the initial node set includes the busbars of Qiaomei Station, Yanshan Station, and Heshan Station. Taking the busbars of these three stations as the starting point, the circuit is traversed outward along all switches that are in the closed state. Since the three substations are connected by the Jiangqiao A / B line and the Yanhe line, and the switches of these lines are all in the closed state, the traversal result shows that the electrically connected area only includes the busbars and branches inside the three substations of Qiaomei Station, Yanshan Station, and Heshan Station, and does not extend to the external power grid.

[0036] S4: Within the electrical connectivity area, extract the lines that extend beyond the electrical connectivity area and connect to the external power grid to obtain a set of external connectivity channels. S4 specifically includes: Based on the described electrical connectivity area, all boundary buses within the area are traversed, and electrical branches that cross the electrical connectivity area and connect to the external power grid are selected to form an external connection channel set. Specifically, a boundary bus refers to the end power supply bus located at the edge of the electrical connectivity area and electrically connected to the outside of the area. For each boundary bus, all connected electrical branches (transmission lines or main transformer branches) are retrieved, and it is determined whether the branch crosses the electrical connectivity area and connects to other parts of the external power grid. If so, the branch is included in the external connection channel set. It should be noted that the extraction result of the external connection channel directly depends on the traversal result based on the real-time switch status in S3. If a line exists in the static topology diagram, but its switch is in the open state or the equipment is under maintenance, then the line does not constitute an actual electrical connection under the current operating mode and will not be included in the electrical connectivity area in S3, and naturally will not be extracted as an external connection channel in S4. Therefore, the external connection channel set extracted in S4 reflects the external connection relationship under the current actual operating mode of the power grid, rather than the physical connection relationship on the drawing.

[0037] For example, taking the 220kV Jiangqiao A / B line + Yanhe line section as an example, the electrical connection area only includes the busbars inside the three substations: Qiaomei, Yanshan, and Heshan. After traversing the boundary busbars of the electrical connection area, the external electrical branches that cross the electrical connection area are retrieved include: Jiangqiao A line (connected to the A side of the external power grid), Jiangqiao B line (connected to the B side of the external power grid), and Yanhe line (connected to the He side of the external power grid). These three external branches constitute the set of external connection channels. This set does not include other external lines because the three substations do not have any other external connection channels besides the above three lines.

[0038] S5: Compare the lines in the external connection channel set with the power supply paths contained in the candidate section: If all the lines in the external connection channel set belong to the power supply paths contained in the candidate section, then the candidate section is determined to be a closed section.

[0039] In this embodiment, if all external communication channels in the external communication channel set belong to the power supply paths included in the current candidate section, it indicates that all actual electrical connection channels between the load area powered by the candidate section and the external power grid are included within the candidate section, and there is no external power supply branch located outside the candidate section. In other words, the area powered by the candidate section is an independent power supply area, and the candidate section is the only interface for power exchange between this area and the external power grid. Candidate sections that meet this condition are determined to be closed sections.

[0040] The typical characteristics of a closed cross-section are: there are no other external power sources or external power supply channels within the power supply area, and the load within the area relies entirely on the power supply path within the candidate cross-section. Once any power supply path within the candidate cross-section is out of service due to a fault or maintenance, the power supply reliability of the area will directly depend on the carrying capacity of the remaining power supply paths. Therefore, strict control of power transmission in this cross-section is necessary. For example, taking the 220kV Jiangqiao A / B line + Yanhe line cross-section as an example, the external connection channel set only includes three lines: Jiangqiao A line, Jiangqiao B line, and Yanhe line. These three lines all belong to the power supply paths included in the candidate cross-section "Jiangqiao A / B line + Yanhe line," and there are no external power supply branches outside the cross-section. Therefore, this cross-section is determined to be a closed cross-section.

[0041] If at least one line in the set of external communication channels does not belong to the power supply path included in the candidate section, then the candidate section is determined to be a non-closed section.

[0042] In this embodiment, if at least one external connection channel in the set of external connection channels is not included in the power supply path of the current candidate section, it indicates that the load area powered by the candidate section has other external power supply channels (i.e., connection lines or main transformer branches outside the section) in addition to the power supply path within the candidate section. These additional channels are actually connected under the current operating mode and can provide additional power support to the load area. Candidate sections that meet this condition are determined to be non-enclosed sections.

[0043] The typical characteristics of a non-enclosed cross-section are: the power supply area has multiple external power supply channels. After any power supply path N-1 fails, its original power flow may be transferred to other power supply paths within the cross-section in a certain proportion, or it may be transferred to other power supply channels outside the cross-section, or it may be split into different proportions inside and outside the cross-section at the same time. Therefore, its cross-section control logic is more complex and requires accurate calculation of the power flow transfer ratio coefficient.

[0044] For example, taking the section "0.35 × Jiangmen Station #2 Main Transformer + Jiangqiao Line" as an example, after traversing the electrical connection area, in addition to the two external connection channels of Jiangmen Station #2 Main Transformer and Jiangqiao Line, there are other main transformer branches or connecting lines serving as external power supply channels. The number of external branches included in the set of external connection channels is greater than the power supply paths included in the candidate section, and at least one of these external connection channels does not belong to the power supply path included in the candidate section "0.35 × Jiangmen Station #2 Main Transformer + Jiangqiao Line". Therefore, this section is determined to be a non-closed section.

[0045] S6: Calculate the section limit value of the candidate section: For each closed section, the real-time power flow of all power supply paths within the closed section is superimposed to obtain the section limit value corresponding to the closed section. In this embodiment, the section limit value corresponding to the closed section is calculated using the following formula: ; in, For closed sections, the cross-sectional limit value; represents the real-time active power flow of the i-th power supply path within the candidate cross section; n represents the total number of power supply paths within the candidate cross section.

[0046] For each non-enclosed section, perform N-1 fault simulation on the non-enclosed section, calculate the power flow transfer ratio coefficient corresponding to each power supply path, and perform weighted summation of the real-time power flow of each electrical branch in the non-enclosed section based on the power flow transfer ratio coefficient to obtain the section limit value corresponding to the non-enclosed section.

[0047] In this embodiment, the power flow transfer ratio coefficient is calculated using the following formula: ; Where k is the power flow transfer ratio coefficient; This represents the active power flow before the i-th faulty device N-1 disconnects. This refers to the active power flow after an electrical fault occurs in the j-th electrical branch where the i-th device is located, following the disconnection of the i-th device. Let be the active power flow of the j-th associated branch before the fault.

[0048] The cross-sectional limit value corresponding to the non-closed cross-section is calculated using the following formula: ; in, For non-closed cross-sections, the cross-sectional limit value is specified. For the first section within the closed section The power flow transfer ratio coefficient of each power supply path; This represents the real-time active power flow of the i-th power supply path.

[0049] In one embodiment of the present invention, after selecting the temporary cross-section and the long-term cross-section as candidate cross-sections, the method further includes: Step 1: Divide the candidate cross sections into pairs to obtain multiple combinations of candidate cross sections.

[0050] Specifically, the candidate section set includes long-term sections and temporary sections, among which there may be sections that overlap in height (such as the same physical section being identified as both a long-term and temporary section, or being repeatedly identified under different triggering conditions). To eliminate these duplicate sections, all sections in the candidate section set are paired up to form multiple sets of candidate section combinations.

[0051] The pairwise combination method involves pairing each cross section in the candidate cross section set with every other cross section to form unique combinations. For example, if the candidate cross section set contains three cross sections A, B, and C, then three combinations are formed: (A, B), (A, C), and (B, C). For each combination, subsequent line similarity calculations and consistency checks are performed independently.

[0052] Step 2: For multiple candidate cross-section combinations, calculate the line similarity between any two candidate cross-sections within each group. Line similarity measures the degree of overlap between two candidate cross-sections at the transmission equipment level. The more similar the sets of power supply path equipment contained in two cross-sections, the higher the probability that they belong to the same physical cross-section.

[0053] In this embodiment, each candidate section stores its included power supply path information in the form of a standardized and unique set of device IDs, with each power supply path corresponding to a device ID (such as a line number or transformer number). Using device IDs instead of device names for comparison eliminates interference caused by naming differences. The line similarity is calculated using the following formula: ; in, The line similarity score ranges from 0 to 1; A is the set of device IDs for the power supply path contained in the first candidate section; B is the set of device IDs for the power supply path contained in the second candidate section. The total number of device IDs for the power supply path included in the first candidate section among the two candidate sections; The total number of device IDs for the power supply path included in the first candidate section among the two candidate sections; The total number of device IDs for the power supply path included in the second candidate section out of the two candidate sections; This represents the number of device IDs shared by both candidate cross sections.

[0054] The formula for calculating line similarity uses the maximum number of devices in two cross-sections, rather than the union, as the normalization denominator. The core purpose of this design is to accurately identify the "inclusion" relationship when all devices in one cross-section are completely covered by another larger cross-section (i.e., the smaller cross-section is a subset of the larger cross-section).

[0055] Step 3: If the line similarity is greater than or equal to a set similarity threshold, determine whether the overall equivalent power flow direction of the two candidate sections is consistent. In this embodiment, the similarity threshold is set to 0.8. If the line similarity of the two candidate sections is greater than or equal to 0.8, it is determined that the equipment height of the two candidate sections is highly overlapping, and the subsequent transmission direction consistency verification is performed. If the line similarity of the two candidate sections is less than 0.8, it is determined that the two candidate sections are non-repeating sections, and the verification is terminated.

[0056] Specifically, the transmission direction of a cross-section refers to the direction of the equivalent power flow of the entire cross-section, not the power flow direction of a single power supply path within the cross-section. It is divided by the boundary of the cross-section's connected domain: the main grid side of the connected domain is the sending end, and the downstream load's independent power supply area side is the receiving end. The transmission direction is divided into two categories: forward and reverse. Forward transmission occurs when power flows from the main grid side to the load area side, i.e., the normal power supply direction; reverse transmission occurs when power is fed back from the load area side to the main grid side, i.e., the power flow direction during faults or power transfer conditions.

[0057] In this embodiment, the specific method for determining the overall equivalent power flow direction of a cross-section is as follows: The active power of all power supply paths within a preset time period (e.g., the last 15 minutes) of the cross-section is obtained, and the algebraic sum of the active power of each power supply path is calculated to obtain the total net power of the cross-section. If the calculated total net power of the cross-section is greater than zero, the candidate cross-section is determined to be supplying power in the forward direction, and the overall equivalent power flow direction is positive. If the calculated total net power of the cross-section is less than zero, the candidate cross-section is determined to be supplying power in the reverse direction, and the overall equivalent power flow direction is negative. Simultaneously, a comprehensive judgment is made based on the standard power flow direction labels of candidate cross-sections pre-stored under the normal operation mode of the power grid planning. When the reference flow direction labels of two candidate cross-sections are the same and the signs of the total net power of the cross-sections are consistent, the transmission directions of the two cross-sections are determined to be consistent; otherwise, the transmission directions are determined to be inconsistent, and duplication is excluded.

[0058] It should be noted that even if two cross-sections have highly overlapping equipment sets, if their power transmission directions are opposite (for example, one is defined as a forward cross-section supplying power from the main grid to the load, and the other as a reverse cross-section supplying power from the load back to the main grid), then these two cross-sections describe two completely different power transmission scenarios and should not be merged. Normal power supply direction and reverse power supply direction correspond to completely different control strategies and limit requirements in grid dispatching; merging them will lead to control logic errors. If the transmission directions of the two candidate cross-sections are consistent, then the subsequent constraint matching degree verification will proceed. If the transmission directions of the two candidate cross-sections are inconsistent, then duplication will be excluded, and the verification will terminate.

[0059] Step 4: When the overall equivalent power flow direction of the two candidate sections is consistent, calculate the constraint matching score of the two candidate sections according to the preset fault safety constraints, section type constraints and thermal stability constraints.

[0060] If the constraint matching score is greater than the preset constraint matching score threshold, the candidate section with the lower constraint matching score is removed from the two candidate sections.

[0061] In one embodiment of the invention, when all candidate sections are closed sections, and when the overall equivalent power flow direction of the two candidate sections is consistent, the constraint matching score of the two candidate sections is calculated based on preset fault safety constraints, section type constraints, thermal stability constraints, and operational efficiency constraints.

[0062] When the candidate cross-section is not a closed cross-section, and the overall equivalent power flow direction of the two candidate cross-sections is consistent, the constraint matching score corresponding to the two candidate cross-sections is calculated based on preset fault safety constraints, cross-section type constraints, thermal stability constraints, power flow transfer constraints, and operational efficiency constraints. Among them, the fault safety constraint is an N-1 / N-2 fault constraint; the cross-section type constraint is a closed cross-section, a non-closed cross-section, a long-term cross-section, or a temporary cross-section; the power flow transfer constraint is quantified by the power flow transfer ratio coefficient k; and the operational efficiency constraint is quantified by the time-related / maintenance time constraint of the candidate cross-section.

[0063] For details regarding the constraints and weighting coefficients, please refer to Table 1 below: Table 1 In one embodiment of the present invention, S6 further includes: S61: For each candidate section, extract the thermal stability limit of each power supply path within the candidate section, and take the minimum value among multiple thermal stability limits as the section reference current limit value of the candidate section.

[0064] Specifically, the thermal stability limit refers to the maximum power that equipment can transmit without being damaged under short-term overload conditions after an N-1 accident, ensuring its thermal stability. Different power supply paths (lines or transformers) have different thermal stability limit values ​​due to differences in physical parameters such as conductor cross-section, material, and insulation level. Overloading any equipment within a cross-section will jeopardize the safe operation of the power grid, and the transmission bottleneck of the cross-section is determined by the equipment with the smallest current-limiting value—that is, the power transmission capacity of the entire cross-section is limited by its weakest link. Therefore, it is necessary to extract the thermal stability limits of each power supply path within the candidate cross-section and take the minimum value as the cross-section's baseline current-limiting value.

[0065] For example, if a candidate cross-section contains three power supply paths with thermal stability limits of 600MW, 650MW, and 700MW respectively, then the cross-section's baseline current limit value is taken as the minimum of 600MW. This value represents the bottleneck constraint for power transmission across the entire cross-section.

[0066] S62: Obtain the current date, determine the corresponding season type based on the current date, and match the corresponding seasonal environment correction coefficient based on the season type.

[0067] Specifically, the seasonal types include spring, summer, autumn, and winter. The differences in ambient temperature across seasons affect the heat dissipation and current-carrying capacity of equipment: summer has the highest ambient temperature and the worst heat dissipation conditions, allowing for the largest possible reduction in transmission power; winter has the lowest ambient temperature and the best heat dissipation conditions, allowing for the largest possible increase in transmission power; spring and autumn have moderate ambient temperatures, allowing the transmission power to approach the equipment's rated current-carrying capacity, with correction factors between summer and winter. For example, a correction factor of 0.95 can be set for summer, 0.98 for spring and autumn, and 1.0 for winter. For the same equipment, the seasonal environmental correction factors should satisfy: summer environmental correction factor < spring environmental correction factor ≈ autumn environmental correction factor < winter environmental correction factor ≤ 1.0. Specific values ​​can be determined by referring to tables based on actual conditions such as conductor type, local ambient temperature, solar radiation intensity, and wind speed.

[0068] S63: The product of the cross-sectional reference flow limit value, the N-1 safety control coefficient, and the seasonal environmental correction coefficient is used as the seasonal safety control limit value corresponding to the candidate cross-section.

[0069] Specifically, the N-1 safety control coefficient is set to 0.95, and the seasonal safety limits include spring, summer, autumn, and winter safety control limits. The seasonal safety control limits are calculated using the following formula: ; in, Let y be the seasonal safety limit corresponding to the y-th candidate cross section; This is the seasonal environmental correction factor, with x taking values ​​of 1, 2, 3, and 4, corresponding to spring, summer, autumn, and winter, respectively. The reference flow limit value for the y-th candidate cross-section.

[0070] S64: Compare the calculated cross-sectional limit with the seasonal safety control limit of the candidate cross-section corresponding to the cross-sectional limit: if the cross-sectional limit is greater than the seasonal safety control limit by a preset percentage, trigger an over-limit warning.

[0071] Specifically, the system acquires the real-time power flow of each power supply path within the candidate cross-section according to a preset time period (preferably every 10 seconds), and updates the real-time cross-section limit in real time according to the aforementioned calculation method for closed or non-closed cross-sections. For each candidate cross-section, its current real-time cross-section limit is continuously compared with the safety control limit for the current season. An over-limit warning is triggered when the real-time cross-sectional limit reaches a preset percentage of the seasonal safety control limit. The preset percentage is preferably 80%.

[0072] Please see Figure 2 Based on the same inventive concept as the above embodiments, the present invention also provides a smart grid section identification device, comprising at least: The data acquisition module 01 is used to acquire the power grid topology and maintenance plan; wherein, the maintenance plan includes maintenance instructions and corresponding equipment that needs to be maintained.

[0073] The long-term temporary section identification module 02 is used to identify multiple power supply paths during normal operation of the power grid according to the power grid topology and mark them as long-term sections; when a maintenance command is detected, it identifies the power supply path through which the power transfer is set after the equipment to be maintained is disconnected and marks it as a temporary section, and uses the temporary section and the long-term section as candidate sections.

[0074] The connectivity region calculation module 03 is used to extract the terminal power supply bus corresponding to all power supply paths in the power grid topology for any candidate section; and based on the real-time opening and closing status of the switches corresponding to each electrical branch in the candidate section, starting from all terminal power supply buses, to traverse outward along the electrical branches where the switches are in the closed state and the connected equipment is in the running state, and to determine the electrical connectivity region based on the traversal results.

[0075] The external area calculation module 04 is used to extract lines that cross the electrical connection area and connect to the external power grid in the electrical connection area to obtain a set of external connection channels.

[0076] The closed / unclosed section identification module 05 is used to compare the lines in the external connection channel set with the power supply paths contained in the candidate section: if all the lines in the external connection channel set belong to the power supply paths contained in the candidate section, then the candidate section is determined to be a closed section; if at least one line in the external connection channel set does not belong to the power supply path contained in the candidate section, then the candidate section is determined to be an unclosed section.

[0077] The section limit calculation module 06 is used to superimpose the real-time power flow of all power supply paths within each closed section to obtain the section limit corresponding to the closed section for each closed section; it is also used to perform N-1 fault simulation on each unclosed section, calculate the power flow transfer ratio coefficient corresponding to each power supply path, and perform weighted summation of the real-time power flow of each electrical branch within the unclosed section based on the power flow transfer ratio coefficient to obtain the section limit corresponding to the unclosed section.

[0078] In one embodiment of the present invention, the connected component calculation module 03 includes a connected component calculation unit, which is configured to perform the following process: The real-time on / off status of the switches corresponding to each electrical branch within the candidate cross-section and the operating status of each device on the electrical branch are obtained.

[0079] Exclude electrical branches where switches are in the open position or equipment is in a non-operating state. Starting from all end power supply busbars, only traverse electrical branches where switches are in the closed position and equipment is in operation. Specifically, electrical branches where switches are in the open position or equipment is in a non-operating state include those where switches are in the open position or connected equipment is under maintenance or in cold standby. These electrical branches are treated as traversal cutoff points and are not included in the connectivity domain. This is because branches under maintenance or in cold standby do not constitute an actual electrical connection under the current operating mode, current cannot pass through them, and they should not be considered as external power supply channels.

[0080] Furthermore, when the bus tie switch or sectionalizing switch within the station is in the open position, the station is divided into multiple independent electrical sub-regions, with the switch serving as the boundary, and each sub-region is traversed separately. The open position of the bus tie switch or sectionalizing switch means that the two bus sections within the station are electrically isolated and operate independently; therefore, they need to be searched separately, and the bus sections on both sides of the open switch cannot be considered as the same electrically connected area.

[0081] The area consisting of all the terminal power supply buses visited and the electrical branches connecting the terminal power supply buses is defined as the electrical connectivity area.

[0082] In one embodiment of the present invention, the long-term temporary cross-section identification module 02 further includes a verification unit, which is configured to perform the following process: The candidate cross sections are grouped in pairs to obtain multiple combinations of candidate cross sections; For multiple candidate section combinations, the line similarity between any two candidate sections within each group is calculated. The line similarity is calculated using the following formula: ; in, A represents the line similarity; B represents the set of device IDs for the power supply path contained in the first candidate section among the two candidate sections; C represents the set of device IDs for the power supply path contained in the second candidate section among the two candidate sections. The total number of device IDs for the power supply path included in the first candidate section among the two candidate sections; The total number of device IDs for the power supply path included in the first candidate section among the two candidate sections; The total number of device IDs for the power supply path included in the second candidate section out of the two candidate sections; The number of device IDs shared by the two candidate cross sections; If the line similarity is greater than or equal to a set similarity threshold, determine whether the overall equivalent power flow direction of the two candidate sections is consistent.

[0083] Specifically, the transmission direction of a cross-section refers to the direction of the equivalent power flow of the entire cross-section, not the power flow direction of a single power supply path within the cross-section. It is divided by the boundary of the cross-section's connected domain: the main grid side of the connected domain is the sending end, and the downstream load's independent power supply area side is the receiving end. The transmission direction is divided into two categories: forward and reverse. Forward transmission occurs when power flows from the main grid side to the load area side, i.e., the normal power supply direction; reverse transmission occurs when power is fed back from the load area side to the main grid side, i.e., the power flow direction during faults or power transfer conditions.

[0084] In this embodiment, the specific method for determining the overall equivalent power flow direction of a cross-section is as follows: The active power of all power supply paths within a preset time period (e.g., the last 15 minutes) of the cross-section is obtained, and the algebraic sum of the active power of each power supply path is calculated to obtain the total net power of the cross-section. If the calculated total net power of the cross-section is greater than zero, the candidate cross-section is determined to be supplying power in the forward direction, and the overall equivalent power flow direction is positive. If the calculated total net power of the cross-section is less than zero, the candidate cross-section is determined to be supplying power in the reverse direction, and the overall equivalent power flow direction is negative. Simultaneously, a comprehensive judgment is made based on the standard power flow direction labels of candidate cross-sections pre-stored under the normal operation mode of the power grid planning. When the reference flow direction labels of two candidate cross-sections are the same and the signs of the total net power of the cross-sections are consistent, the transmission directions of the two cross-sections are determined to be consistent; otherwise, the transmission directions are determined to be inconsistent, and duplication is excluded.

[0085] It should be noted that even if two cross-sections have highly overlapping equipment sets, if their power transmission directions are opposite (for example, one is defined as a forward cross-section supplying power from the main grid to the load, and the other as a reverse cross-section supplying power from the load back to the main grid), then these two cross-sections describe two completely different power transmission scenarios and should not be merged. Normal power supply direction and reverse power supply direction correspond to completely different control strategies and limit requirements in grid dispatching; merging them will lead to control logic errors. If the transmission directions of the two candidate cross-sections are consistent, then the subsequent constraint matching degree verification will proceed. If the transmission directions of the two candidate cross-sections are inconsistent, then duplication will be excluded, and the verification will terminate.

[0086] When the overall equivalent power flow direction of the two candidate sections is consistent, the constraint matching score of the two candidate sections is calculated based on the preset fault safety constraints, section type constraints, and thermal stability constraints. If the constraint matching score is greater than the preset constraint matching score threshold, the candidate section with the lower constraint matching score is removed from the two candidate sections.

[0087] The cross-sectional limit calculation module 06 also includes an early warning unit, which is configured to perform the following process: For each candidate section, the thermal stability limit of each power supply path within the candidate section is extracted, and the minimum value among multiple thermal stability limits is taken as the section reference current limit value of the candidate section. Get the current date, and determine the corresponding season type based on the current date; Match the corresponding seasonal environment correction coefficient according to the season type; The product of the cross-sectional reference flow limit value, the N-1 safety control coefficient, and the seasonal environmental correction coefficient is used as the seasonal safety control limit value corresponding to the candidate cross-section. The calculated cross-sectional limits are compared with the seasonal safety control limits for the candidate cross-sections corresponding to the cross-sectional limits: An over-limit warning is triggered when the cross-sectional limit exceeds a preset percentage of the seasonal safety control limit.

[0088] This invention provides a method, device, electronic device, and storage medium for intelligent identification of power grid sections. By acquiring the power grid topology and maintenance plan, it automatically identifies long-term sections based on the normal operation mode of the power grid and automatically identifies temporary sections when a maintenance command is triggered, replacing the traditional manual identification method and effectively avoiding the problems of missed or incorrect section designation. Through a preset independent power supply area identification algorithm, it traverses the electrical connectivity domain of candidate sections based on real-time switch status and extracts external connection channels, automatically determining whether the candidate section is a closed or non-closed section, making the section classification results objective and controllable. By performing N-1 fault simulation on non-closed sections to automatically calculate the power flow transfer ratio coefficient and perform weighted summation of real-time power flow for each power supply path, and by performing real-time power flow superposition on closed sections, it realizes automated and accurate calculation of section limits, eliminating manual intervention and effectively reducing calculation errors. Through three steps to verify the line similarity, transmission direction consistency, and constraint matching degree of candidate sections, it automatically eliminates duplicate sections, avoiding redundant section storage and management chaos. Meanwhile, this invention acquires maintenance plans in real time and automatically identifies temporary cross-sections when maintenance commands are triggered. This allows temporary cross-sections to dynamically take effect with the maintenance plan and automatically deactivate after maintenance. This rapid response to changes in operating modes, such as equipment maintenance, avoids monitoring gaps caused by delayed or missed establishment of temporary cross-sections. Furthermore, by calculating seasonal safety control limits and continuously comparing them with real-time cross-section values, an over-limit warning is triggered when the real-time cross-section value reaches a preset percentage of the seasonal safety control limit. This provides advance warning of cross-section operating status, allowing dispatchers sufficient time to respond. In summary, this invention achieves fully automated closed-loop management from cross-section identification, classification, deduplication, calculation to early warning, effectively improving the accuracy, timeliness, and safety of power grid cross-section management and reducing power grid operation risks.

[0089] 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.

[0090] Those skilled in the art will clearly understand that, for convenience and simplicity, 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.

[0091] One embodiment of the present invention provides an electronic 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 the intelligent identification method for power grid sections according to any one of the present invention.

[0092] Electronic devices can be computing devices such as desktop computers, laptops, handheld computers, and cloud servers. Electronic devices may include, but are not limited to, processors and memory.

[0093] 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. A general-purpose processor can be a microprocessor or any conventional processor. The processor is the control center of the electronic device, connecting all parts of the electronic device through various interfaces and lines.

[0094] Memory can be used to store computer programs. The processor implements various functions of electronic devices by running or executing computer programs stored in memory and accessing data stored in memory. Memory can mainly include a program storage area and a data storage area. The program storage area can store the operating system, applications required for at least one function, etc.; the data storage area can store data created based on the use of the mobile phone, etc. In addition, memory can include high-speed random access memory, and can also include non-volatile memory, such as hard disks, RAM, plug-in hard disks, smart media cards (SMC), secure digital cards (SD cards), flash cards, at least one disk storage device, flash memory device, or other volatile solid-state storage devices.

[0095] One embodiment of the present invention provides a storage medium including a stored computer program, wherein, when the computer program is running, it controls the device where the storage medium is located to execute the intelligent identification method for power grid sections according to any one of the present invention.

[0096] 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 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. It should be noted that the content included in the computer-readable medium can be appropriately added to or subtracted according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunication signals.

[0097] One embodiment of the present invention provides a computer program product that, when run on a terminal device, causes the electronic device to execute the above-described intelligent identification method for power grid sections.

[0098] The above are preferred embodiments of the present invention. It should be noted that, for those skilled in the art, several improvements and modifications can be made without departing from the principle 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 intelligent identification of power grid cross sections, characterized in that, include: Obtain the power grid topology and maintenance plan; wherein, the maintenance plan includes maintenance instructions and corresponding equipment that needs to be maintained; Based on the power grid topology, multiple power supply paths during normal power grid operation are identified and marked as long-term sections; when a maintenance command is detected, the power supply path through which the power transfer occurs after the equipment requiring maintenance is disconnected is identified and marked as a temporary section; the temporary sections and long-term sections are used as candidate sections. For any of the candidate sections, extract the terminal power supply buses corresponding to all power supply paths in the power grid topology; Based on the real-time opening and closing status of the switches corresponding to each electrical branch in the candidate section, starting from all the end power supply busbars, the electrical branches with the switches in the closed state and the connected equipment in the running state are traversed outward, and the electrical connection area is determined according to the traversal results. Within the electrical connectivity area, lines that extend beyond the electrical connectivity area and connect to the external power grid are extracted to obtain a set of external connectivity channels; The lines in the set of external connecting channels are compared with the power supply paths contained in the candidate cross-sections: If all the lines in the set of external connecting channels belong to the power supply path included in the candidate section, then the candidate section is determined to be a closed section. If at least one line in the set of external communication channels does not belong to the power supply path included in the candidate section, then the candidate section is determined to be a non-closed section.

2. The intelligent identification method for power grid sections as described in claim 1, characterized in that, Also includes: For each closed section, the real-time power flow of all power supply paths within the closed section is superimposed to obtain the section limit value corresponding to the closed section. For each non-enclosed section, perform N-1 fault simulation on the non-enclosed section, calculate the power flow transfer ratio coefficient corresponding to each power supply path, and perform weighted summation of the real-time power flow of each electrical branch in the non-enclosed section based on the power flow transfer ratio coefficient to obtain the section limit value corresponding to the non-enclosed section.

3. The intelligent identification method for power grid sections as described in claim 2, characterized in that, Based on the real-time open / closed status of the switches corresponding to each electrical branch within the candidate cross-section, starting from all end power supply buses, the circuit is traversed outwards along electrical branches where the switches are closed and the connected equipment is in operation. The electrical connectivity area is determined based on the traversal results, including: Obtain the real-time on / off status of the switches corresponding to each electrical branch within the candidate cross-section and the operating status of each device on the electrical branch; Exclude electrical branches where the switch is in the open state or the equipment is in the non-operating state. Starting from all end power supply busbars, only traverse electrical branches where the switch is in the closed state and the equipment is in the operating state. The area consisting of all the terminal power supply buses visited and the electrical branches connecting the terminal power supply buses is defined as the electrical connectivity area.

4. The intelligent identification method for power grid sections as described in claim 1, characterized in that, After selecting the temporary and long-term cross-sections as candidate cross-sections, the method further includes: The candidate cross sections are grouped in pairs to obtain multiple combinations of candidate cross sections; For multiple candidate section combinations, calculate the line similarity between two candidate sections within each group; If the line similarity is greater than or equal to a set similarity threshold, determine whether the overall equivalent power flow direction of the two candidate sections is consistent. When the overall equivalent power flow direction of the two candidate sections is consistent, the constraint matching score of the two candidate sections is calculated based on the preset fault safety constraints, section type constraints, and thermal stability constraints. If the constraint matching score is greater than the preset constraint matching score threshold, the candidate section with the lower constraint matching score is removed from the two candidate sections.

5. The intelligent identification method for power grid sections as described in claim 4, characterized in that, The line similarity is calculated using the following formula: ； in, A represents the line similarity; B represents the set of device IDs for the power supply path contained in the first candidate section among the two candidate sections; C represents the set of device IDs for the power supply path contained in the second candidate section among the two candidate sections. The total number of device IDs for the power supply path included in the first candidate section among the two candidate sections; The total number of device IDs for the power supply path included in the first candidate section among the two candidate sections; The total number of device IDs for the power supply path included in the second candidate section out of the two candidate sections; This represents the number of device IDs shared by both candidate cross sections.

6. The intelligent identification method for power grid sections as described in claim 1, characterized in that, Also includes: For each candidate section, the thermal stability limit of each power supply path within the candidate section is extracted, and the minimum value among multiple thermal stability limits is taken as the section reference current limit value of the candidate section. Get the current date, and determine the corresponding season type based on the current date; Match the corresponding seasonal environment correction coefficient according to the season type; The product of the cross-sectional reference flow limit value, the N-1 safety control coefficient, and the seasonal environmental correction coefficient is used as the seasonal safety control limit value corresponding to the candidate cross-section. The calculated cross-sectional limits are compared with the seasonal safety control limits for the candidate cross-sections corresponding to the cross-sectional limits: An over-limit warning is triggered when the cross-sectional limit exceeds a preset percentage of the seasonal safety control limit.

7. The intelligent identification method for power grid sections as described in claim 1, characterized in that, The current transfer ratio coefficient is calculated using the following formula: ； Where k is the power flow transfer ratio coefficient; This represents the active power flow before the i-th faulty device N-1 disconnects. This refers to the active power flow after an electrical fault occurs in the j-th electrical branch where the i-th device is located, following the disconnection of the i-th device. Let be the active power flow of the j-th associated branch before the fault.

8. A smart identification device for power grid sections, characterized in that, include: The data acquisition module is used to acquire the power grid topology and maintenance plan; wherein, the maintenance plan includes maintenance instructions and corresponding equipment that needs to be maintained; The long-term and temporary section identification module is used to identify multiple power supply paths during normal grid operation based on the grid topology and mark them as long-term sections; when a maintenance command is detected, it identifies the power supply path through which the power transfer occurs after the equipment to be maintained is disconnected and marks it as a temporary section, and uses the temporary section and the long-term section as candidate sections. The connectivity region calculation module is used to extract the terminal power supply bus corresponding to all power supply paths in the power grid topology for any candidate section; and based on the real-time opening and closing status of the switches corresponding to each electrical branch in the candidate section, starting from all terminal power supply buses, to traverse outward along the electrical branches where the switches are in the closed state and the connected equipment is in the running state, and to determine the electrical connectivity region based on the traversal results. An external area calculation module is used to extract lines that cross the electrical connectivity area and connect to the external power grid within the electrical connectivity area, thereby obtaining a set of external connectivity channels; The closed / unclosed section identification module is used to compare the lines in the set of external connecting channels with the power supply paths contained in the candidate sections: If all the lines in the set of external connecting channels belong to the power supply path included in the candidate section, then the candidate section is determined to be a closed section; if at least one line in the set of external connecting channels does not belong to the power supply path included in the candidate section, then the candidate section is determined to be a non-closed section.

9. An electronic device, characterized in that, include: A processor, a memory, and a computer program stored in the memory and configured to be executed by the processor; wherein, when the processor executes the computer program, it implements the intelligent identification method for power grid sections as described in any one of claims 1-7.

10. A storage medium, characterized in that, The storage medium includes a stored computer program, wherein, when the computer program is running, it controls the device where the storage medium is located to execute the intelligent identification method for power grid sections as described in any one of claims 1-7.

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