Anti-misoperation method, device and computer equipment for scheduling operation ticket

Abstract

This application relates to a method, apparatus, and computer device for preventing misoperation of dispatch operation tickets. The method includes: parsing the operation sequence of the dispatch operation ticket in the operation instruction to extract the equipment type, operation type, and operation sequence from the operation instruction; constructing an initial topology connection model based on real-time acquired current power grid topology, equipment status, and environmental parameters; dynamically simulating the operation process of the dispatch operation ticket based on the operation sequence and the initial topology connection model; updating the topology connection model sequentially according to the operation sequence; performing misoperation prevention verification of the dispatch operation ticket after each update; and feeding back the result of the misoperation prevention verification to the dispatch system corresponding to the dispatch operation ticket. The misoperation prevention verification includes equipment status conflict verification, operation timing violation verification, insufficient safety distance verification, relay protection mismatch verification, and virtual connection verification. This method can ensure the reliability of dispatch operation ticket execution.

Description

Technical Field

[0001] This application relates to the field of power distribution network technology, and in particular to a method, device and computer equipment for preventing misoperation of dispatch operation tickets. Background Technology

[0002] In the field of power system dispatching, the power grid dispatching operation ticket is a core control tool for the safe operation of the power system. Essentially, it transforms dispatching instructions into a standardized, executable sequence of operational steps to regulate switching operations and prevent misoperation accidents. It plays a crucial guiding role in power grid switching operations, and its correctness is directly related to power grid safety.

[0003] Traditional operation ticket systems mainly rely on static rule bases and manual verification based on experience. Manual verification is inefficient, and in complex power grids, the verification time increases exponentially with the number of nodes, with an average of 15-30 minutes of verification time per operation ticket. Static rule bases cannot adapt to real-time changes in the power grid; they are difficult to detect potential timing risks in operation sequences; and the failure rate of virtual connection risks generated by non-contact paths is high, especially since they ignore implicit paths formed by capacitive coupling and electromagnetic induction. Summary of the Invention

[0004] Therefore, it is necessary to provide a method, device, and computer equipment for preventing misoperation of scheduling operation tickets that can ensure the reliability of scheduling operation ticket execution, in order to address the above-mentioned technical problems.

[0005] Firstly, this application provides a method for preventing misoperation of scheduling operation tickets, including:

[0006] Parse the operation sequence of the scheduling operation ticket in the operation instruction to extract the device type, operation type and operation order in the operation instruction;

[0007] Based on the real-time acquisition of the current power grid topology, equipment status, and environmental parameters, an initial topology connection model is constructed.

[0008] Based on the operation sequence and the initial topology connection model, the operation process of the scheduling operation ticket is dynamically simulated, and the topology connection model is updated sequentially according to the operation order; among them, the anti-misoperation verification includes equipment status conflict verification, operation timing violation verification, insufficient safety distance verification, relay protection mismatch verification, and virtual connection verification.

[0009] After each update of the topology connection model, a misoperation prevention check is performed on the scheduling operation ticket, and the result of the misoperation prevention check is fed back to the scheduling system corresponding to the scheduling operation ticket. If the misoperation prevention check fails, the result is that there is a risk; if the misoperation prevention check succeeds, the result is that there is no risk.

[0010] Virtual link verification includes:

[0011] Obtain the grid partition information involved in the operation of updating the topology connection model; determine the dynamic impedance threshold based on the equipment type, environmental parameters, operation type corresponding to the current operation sequence, and the partition boundary factor corresponding to the grid partition information; determine whether there is a non-contact virtual connection path based on the dynamic impedance threshold using a partitioned collaborative breadth-first search algorithm; if yes, determine the result of the virtual connection verification as virtual connection verification failure, and mark the non-contact virtual connection path and its corresponding equipment type and operation type; if no, determine the result of the virtual connection verification as virtual connection verification success.

[0012] In one embodiment, obtaining power grid partition information related to the operation corresponding to this update of the topology connectivity model includes:

[0013] When the operation corresponding to the current topology connection model update involves a change in the device status across the partition boundary of the electrical island, the virtual connection monitoring area centered on the partition boundary is activated to obtain the power grid partition information involved in the operation corresponding to the current topology connection model update.

[0014] The scope of the virtual connection monitoring area is dynamically determined based on the absolute value of the voltage difference between the electrical islands on both sides of the partition boundary and the frequency coefficient of historical virtual connection accidents at the partition boundary.

[0015] In one embodiment, the dynamic impedance threshold is determined based on the device type, environmental parameters, operation type corresponding to the current operation sequence, and the partition boundary factor corresponding to the power grid partition information, including:

[0016] Determine the equipment sensitivity coefficient based on the equipment type corresponding to the current operation sequence;

[0017] Determine the humidity correction factor based on the ambient humidity parameter.

[0018] Determine the stage coefficient based on the operation type;

[0019] The partition boundary factor is determined based on the absolute value of the voltage difference between the electrical islands on both sides of the partition boundary in the power grid partition information, and the highest voltage value of the electrical islands on both sides of the partition boundary.

[0020] The basic impedance threshold is adjusted by using the equipment sensitivity coefficient, humidity correction coefficient, stage coefficient, and zone boundary factor to obtain the dynamic impedance threshold.

[0021] In one embodiment, based on a dynamic impedance threshold, the existence of a non-contact virtual connection path is determined using a partitioned collaborative breadth-first search algorithm, including:

[0022] A partitioned collaborative breadth-first search algorithm is adopted to traverse the non-contact paths within the virtual connection monitoring area, and impedance correction is performed on the non-contact paths that cross the partition boundaries of the electrical island.

[0023] For each non-contact path, if the path impedance of the corrected non-contact path is less than the dynamic impedance threshold, the non-contact path is regarded as a non-contact virtual connection path; wherein, the non-contact virtual connection path includes the induced voltage path formed by electromagnetic coupling, the capacitive current path formed by capacitive coupling, and the implicit loop formed by the undisconnected grounding wire.

[0024] In one embodiment, the device state conflict verification includes:

[0025] Real-time acquisition of device status values ​​for each device in the SCADA (Supervisory Control and Data Acquisition) system;

[0026] Read the current status values ​​of each device in the topology connection model;

[0027] If the device status value and the current status value are inconsistent, the result of the device status conflict check is determined to be a failure of the device status conflict check.

[0028] If the device status value and the current status value are consistent, the result of the device status conflict verification is determined to be that the device status conflict verification has passed.

[0029] In one embodiment, the timing violation check includes:

[0030] Construct a dependency graph among the operations in the scheduling operation ticket, and define the preconditions for the key operations in each operation of the dependency graph;

[0031] Before simulating the execution of each operation in the scheduling operation ticket, the preconditions of each operation are verified based on the dependency graph.

[0032] In one embodiment, the insufficient safety distance check includes:

[0033] For each operating device in the topology connection model, determine the minimum electrical distance between the operating devices based on the voltage of the operating device and the ambient humidity;

[0034] Based on a three-dimensional electromagnetic field model, the electric field intensity distribution at the operation position of the operating device is simulated to determine the distance between the operating device and the adjacent charged devices.

[0035] The minimum electrical distance to the operating equipment is weighted using adjustment coefficients to obtain a distance threshold.

[0036] If the distance between adjacent live equipment and the operating equipment is less than the distance threshold, the result of the insufficient safety distance verification is determined to be a failure of the insufficient safety distance verification.

[0037] If the distance between adjacent live equipment and the operating equipment is greater than or equal to the distance threshold, the result of the insufficient safety distance check is determined to be that the insufficient safety distance check has passed.

[0038] In one embodiment, relay protection mismatch verification includes:

[0039] Identify the protective devices within the scope of the update operation's impact;

[0040] Determine whether the protection settings in the protection device cover the topology changes after the update operation; the coverage of the protection settings is characterized by the sensitivity coefficient and action delay of the protection device; if the sensitivity coefficient is less than 1.5 or the action delay is greater than 300ms, the result of the relay protection mismatch check is determined to be a relay protection mismatch check failure; if the sensitivity coefficient is greater than or equal to 1.5 and the action delay is less than or equal to 300ms, the result of the relay protection mismatch check is determined to be a relay protection mismatch check pass.

[0041] Secondly, this application also provides a device for preventing misoperation of a dispatching operation ticket, comprising:

[0042] The parsing module is used to parse the operation sequence of the scheduling operation ticket in the operation instruction to extract the device type, operation type and operation order in the operation instruction;

[0043] The model building module is used to build an initial topology connection model based on the real-time acquired current power grid topology, equipment status, and environmental parameters.

[0044] The model update module is used to dynamically simulate the operation process of scheduling operation tickets based on the operation sequence and the initial topology connection model, and update the topology connection model sequentially according to the operation order.

[0045] The verification module is used to perform anti-misoperation verification on the scheduling operation ticket after each update of the topology connection model, and to feed back the result of the anti-misoperation verification to the scheduling system corresponding to the scheduling operation ticket. The anti-misoperation verification includes equipment status conflict verification, operation timing violation verification, insufficient safety distance verification, relay protection mismatch verification, and virtual connection verification. If the anti-misoperation verification fails, the result is that there is a risk; if the anti-misoperation verification succeeds, the result is that there is no risk.

[0046] The verification module is also used for:

[0047] Obtain the grid partition information involved in the operation of updating the topology connection model; determine the dynamic impedance threshold based on the equipment type, environmental parameters, operation type corresponding to the current operation sequence, and the partition boundary factor corresponding to the grid partition information; determine whether there is a non-contact virtual connection path based on the dynamic impedance threshold using a partitioned collaborative breadth-first search algorithm; if yes, determine the result of the virtual connection verification as virtual connection verification failure, and mark the non-contact virtual connection path and its corresponding equipment type and operation type; if no, determine the result of the virtual connection verification as virtual connection verification success.

[0048] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0049] Parse the operation sequence of the scheduling operation ticket in the operation instruction to extract the device type, operation type and operation order in the operation instruction;

[0050] Based on the real-time acquisition of the current power grid topology, equipment status, and environmental parameters, an initial topology connection model is constructed.

[0051] Based on the operation sequence and the initial topology connection model, the operation process of scheduling operation tickets is dynamically simulated, and the topology connection model is updated sequentially according to the operation order.

[0052] After each update of the topology connection model, a misoperation prevention check is performed on the scheduling operation ticket, and the result of the misoperation prevention check is fed back to the scheduling system corresponding to the scheduling operation ticket. The misoperation prevention check includes equipment status conflict check, operation timing violation check, insufficient safety distance check, relay protection mismatch check, and virtual connection check. If the misoperation prevention check fails, the result is that there is a risk; if the misoperation prevention check succeeds, the result is that there is no risk.

[0053] Virtual link verification includes:

[0054] Obtain the grid partition information involved in the operation of updating the topology connection model; determine the dynamic impedance threshold based on the equipment type, environmental parameters, operation type corresponding to the current operation sequence, and the partition boundary factor corresponding to the grid partition information; determine whether there is a non-contact virtual connection path based on the dynamic impedance threshold using a partitioned collaborative breadth-first search algorithm; if yes, determine the result of the virtual connection verification as virtual connection verification failure, and mark the non-contact virtual connection path and its corresponding equipment type and operation type; if no, determine the result of the virtual connection verification as virtual connection verification success.

[0055] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the following steps:

[0056] Parse the operation sequence of the scheduling operation ticket in the operation instruction to extract the device type, operation type and operation order in the operation instruction;

[0057] Based on the real-time acquisition of the current power grid topology, equipment status, and environmental parameters, an initial topology connection model is constructed.

[0058] Based on the operation sequence and the initial topology connection model, the operation process of scheduling operation tickets is dynamically simulated, and the topology connection model is updated sequentially according to the operation order.

[0059] After each update of the topology connection model, a misoperation prevention check is performed on the scheduling operation ticket, and the result of the misoperation prevention check is fed back to the scheduling system corresponding to the scheduling operation ticket. The misoperation prevention check includes equipment status conflict check, operation timing violation check, insufficient safety distance check, relay protection mismatch check, and virtual connection check. If the misoperation prevention check fails, the result is that there is a risk; if the misoperation prevention check succeeds, the result is that there is no risk.

[0060] Virtual link verification includes:

[0061] Obtain the grid partition information involved in the operation of updating the topology connection model; determine the dynamic impedance threshold based on the equipment type, environmental parameters, operation type corresponding to the current operation sequence, and the partition boundary factor corresponding to the grid partition information; determine whether there is a non-contact virtual connection path based on the dynamic impedance threshold using a partitioned collaborative breadth-first search algorithm; if yes, determine the result of the virtual connection verification as virtual connection verification failure, and mark the non-contact virtual connection path and its corresponding equipment type and operation type; if no, determine the result of the virtual connection verification as virtual connection verification success.

[0062] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, performs the following steps:

[0063] Parse the operation sequence of the scheduling operation ticket in the operation instruction to extract the device type, operation type and operation order in the operation instruction;

[0064] Based on the real-time acquisition of the current power grid topology, equipment status, and environmental parameters, an initial topology connection model is constructed.

[0065] Based on the operation sequence and the initial topology connection model, the operation process of scheduling operation tickets is dynamically simulated, and the topology connection model is updated sequentially according to the operation order.

[0066] After each update of the topology connection model, a misoperation prevention check is performed on the scheduling operation ticket, and the result of the misoperation prevention check is fed back to the scheduling system corresponding to the scheduling operation ticket. The misoperation prevention check includes equipment status conflict check, operation timing violation check, insufficient safety distance check, relay protection mismatch check, and virtual connection check. If the misoperation prevention check fails, the result is that there is a risk; if the misoperation prevention check succeeds, the result is that there is no risk.

[0067] Virtual link verification includes:

[0068] Obtain the grid partition information involved in the operation of updating the topology connection model; determine the dynamic impedance threshold based on the equipment type, environmental parameters, operation type corresponding to the current operation sequence, and the partition boundary factor corresponding to the grid partition information; determine whether there is a non-contact virtual connection path based on the dynamic impedance threshold using a partitioned collaborative breadth-first search algorithm; if yes, determine the result of the virtual connection verification as virtual connection verification failure, and mark the non-contact virtual connection path and its corresponding equipment type and operation type; if no, determine the result of the virtual connection verification as virtual connection verification success.

[0069] The aforementioned method, device, and computer equipment for preventing misoperation of dispatch operation tickets analyze the operation sequence in the operation instructions to extract the equipment type, operation type, and operation sequence. Based on real-time acquired data on the current power grid topology, equipment status, and environmental parameters, an initial topology connection model is constructed. Then, based on the operation sequence and the initial topology connection model, the operation process of the dispatch operation ticket is dynamically simulated, and the topology connection model is updated sequentially according to the operation sequence. After each update, a misoperation prevention check is performed on the dispatch operation ticket, and the result is fed back to the corresponding dispatch system. Using this method, by performing equipment status conflict checks, operation timing violation checks, insufficient safety distance checks, relay protection mismatch checks, and virtual connection checks on the updated topology connection model, the reliability of dispatch operation ticket execution can be guaranteed. Attached Figure Description

[0070] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0071] Figure 1 This is a flowchart illustrating a method for preventing misoperation of a scheduling operation ticket in one embodiment;

[0072] Figure 2This is a structural block diagram of a device for preventing misoperation of a scheduling operation ticket in one embodiment.

[0073] Figure 3 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0074] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0075] In the field of power system dispatching, the power grid dispatching operation ticket is a core control tool for the safe operation of the power system. Essentially, it transforms dispatching instructions into a standardized, executable sequence of operational steps to regulate switching operations and prevent misoperation accidents. It plays a crucial guiding role in power grid switching operations, and its correctness is directly related to power grid safety.

[0076] Traditional operation ticket systems mainly rely on static rule bases and manual verification based on experience. Manual verification is inefficient, and in complex power grids, the verification time increases exponentially with the number of nodes, with an average of 15-30 minutes of verification time per operation ticket. Static rule bases cannot adapt to real-time changes in the power grid; they are difficult to detect potential timing risks in operation sequences; and the failure rate of virtual connection risks generated by non-contact paths is high, especially since they ignore implicit paths formed by capacitive coupling and electromagnetic induction.

[0077] Based on this, in an exemplary embodiment, a method for preventing misoperation of scheduling operation tickets is provided. The method is illustrated using an application to a server as an example. Figure 1 As shown, the specific steps include:

[0078] S101, parse the operation sequence of the scheduling operation ticket in the operation instruction to extract the device type, operation type and operation order in the operation instruction.

[0079] In this context, an operation instruction is a request to dispatch power to a target power grid. A dispatch operation ticket is a standardized, written operation instruction document in the power system, used to regulate switching operations (i.e., operations that change the operating status of equipment) of electrical equipment (such as circuit breakers, disconnectors, and grounding switches). Equipment type refers to the type of equipment being operated. Operation type refers to the specific type of dispatch operation, such as tripping or connecting a grounding wire. Operation sequence refers to the order of operations within the operation sequence.

[0080] Optionally, Natural Language Processing (NLP) technology can be used to identify key elements in the operation instructions, thereby extracting the device type, operation type, and operation sequence from the operation instructions, and establishing an operation sequence tree structure.

[0081] For example, over 2000 operation conflict rules are pre-set in the rule base. Operation sequences are detected in real time based on these conflict rules, and any detected conflict is immediately highlighted in red. For instance, parsing the "110kV East Suburb Busbar Power Outage" operation ticket: Disconnect the 110kV bus tie 100 switch → [Analysis: Switch open], open the 110kV East Busbar disconnect switch → [Analysis: Disconnect switch open], connect the East Busbar grounding wire → [Analysis: Safety measures]. The system automatically identifies the missing voltage testing operation before "connect the grounding wire to the busbar," triggering a semantic conflict alarm.

[0082] S102, construct an initial topology connection model based on the real-time acquired current power grid topology, equipment status, and environmental parameters.

[0083] The term "current power grid topology" refers to the topology of the target power grid at the current moment. "Equipment status" refers to the operating status of each device in the target power grid. "Environmental parameters" refers to the specific parameters of the environment in which each device in the target power grid resides. The "topology connection model" is used to simulate the operation of the target power grid.

[0084] Optionally, when performing topology connection modeling, the status of SCADA system equipment can be collected in real time, GIS geographic information data can be integrated, and PMU synchronous phasor measurement data can be accessed to perform multi-source data fusion; based on the connection, a device relationship graph is constructed: dynamic connection modeling is achieved by dynamically updating the adjacency matrix of power grid equipment.

[0085] Specifically, the real-time status of each power device in the target power grid can be obtained through a Supervisory Control and Data Acquisition (SCADA) system associated with the target power grid. This includes data such as the open / closed status of circuit breakers, transformer tap positions, and line current and voltage. Spatial data such as the geographical location of each power device, the latitude and longitude of towers, line routes, and power supply range can be obtained through a Geographic Information System (GIS) associated with the target power grid. High-frequency, high-precision voltage and current phasors (phase angles) in the target power grid can be simultaneously measured using a Phasor Measurement Unit (PMU). Furthermore, the collected data can be aligned in both time (synchronized timestamps) and spatial (geographic coordinates) dimensions to obtain multi-source fused data. Then, based on the multi-source fused data, the device relationships between each power device in the target power grid are constructed to generate a topology connection model of the target power grid.

[0086] S103: Based on the operation sequence and the initial topology connection model, dynamically simulate the operation process of scheduling operation tickets, and update the topology connection model sequentially according to the operation order.

[0087] The anti-misoperation verification includes equipment status conflict verification, operation sequence violation verification, insufficient safety distance verification, relay protection mismatch verification, and virtual connection verification. Equipment status conflict verification is used to verify whether there are equipment conflicts between various power devices after the execution of the dispatch operation; operation sequence violation verification is used to verify the rationality of the sequence between various operations; insufficient safety distance verification is used to verify whether the original operation position is safe after the execution of the dispatch operation; relay protection mismatch verification is used to verify whether the protection parameters of the protection device are effective after the execution of the dispatch operation; and virtual connection verification is used to verify whether the virtual connection path is safe after the execution of the dispatch operation.

[0088] Optionally, the topology connection model is updated sequentially according to the operation sequence. That is, the operation state transition is completed by updating the device status, reconstructing the adjacency matrix, calculating the changes in grid device locations, and generating timestamps; the current environmental parameters are obtained, the environmental humidity is optimized, and the capacitive coupling coefficient is adjusted according to the environmental parameters; and a topology connection structure containing timestamps is obtained. For each operation step, if it involves the opening and closing of a switch / disconnector, the device connection status is updated; if it involves the commissioning or decommissioning of equipment, the device operating status is updated.

[0089] The operation process of a dynamic simulation dispatching operation ticket may include: dividing the power grid into multiple logical partitions and pre-generating a topology cache; selecting local cache updates or partition reconstruction based on the scope of the operation's impact; and triggering anti-misoperation measures only for the changed partitions. The logical partitions are divided according to voltage levels and electrical island boundaries, and each partition contains a topology-independent set of devices. When the operation involves the opening or closing of switches within a partition, the partition's cache is directly modified and marked as pending verification.

[0090] S104 After each update of the topology connection model, perform the anti-misoperation verification of the scheduling operation ticket and feed back the result of the anti-misoperation verification of the operation ticket to the scheduling system corresponding to the scheduling operation ticket.

[0091] If the anti-misoperation test fails, the result is that there is a risk; if the anti-misoperation test succeeds, the result is that there is no risk.

[0092] Optionally, after each update of the topology connection model, a misoperation prevention check can be performed on the updated topology connection model, including equipment status conflict verification, operation timing violation verification, insufficient safety distance verification, relay protection mismatch verification, and virtual connection verification, thereby obtaining the result of the misoperation prevention check. Furthermore, if the misoperation prevention check fails, the result is that there is a risk; if the misoperation prevention check succeeds, the result is that there is no risk.

[0093] Furthermore, the results of the operation ticket's anti-misoperation verification can be fed back to the corresponding scheduling system for maintenance personnel to reference. For example, when the non-contact virtual connection verification fails during misoperation verification, the cause of the virtual connection is determined, and a correction strategy is generated. For instance, to address capacitive coupling risks, an insulating shield is added; to address electromagnetic induction risks, the operation time is adjusted to low-load periods. The correction strategy is written into the operation ticket, resulting in an optimized operation ticket. This updated operation ticket is then fed back to the scheduling system for staff reference.

[0094] The virtual link verification includes the following steps:

[0095] The first step is to obtain the power grid partition information involved in the operation of updating the topology connection model.

[0096] An electrical zone is a region that contains an independent power grid topology. Power grid zone information refers to the information related to the electrical equipment in each electrical zone.

[0097] For example, when the operation corresponding to the current update of the topology connection model involves a change in the device state across the partition boundary of the electrical island, the virtual connection monitoring area centered on the partition boundary is activated to obtain the power grid partition information involved in the operation corresponding to the current update of the topology connection model.

[0098] The scope of the virtual connection monitoring zone is dynamically determined based on the absolute value ΔU of the voltage difference between the electrical islands on both sides of the zone boundary and the historical virtual connection accident frequency coefficient K of the zone boundary. The historical accident frequency coefficient is proportional to the number of virtual connection accidents occurring annually and can reflect hidden risk factors to a certain extent. These hidden risk factors include local microclimate, equipment aging, and maintenance level.

[0099] Specifically, when an operation corresponding to the updated topology connection model involves a change in the device state across the partition boundary of an electrical island, a virtual connection monitoring zone centered on the partition boundary is automatically activated. The dynamic delineation of the monitoring zone is triggered only when the operation involves a change in the device state across the partition boundary of an electrical island.

[0100] The initial monitoring area is centered on the zone boundary, and by default covers 1-2 adjacent topology levels on both sides of the boundary, such as boundary switch stations and directly connected busbars. The greater the voltage difference, the higher the risk of electric field distortion, and the monitoring range needs to be expanded to cover possible arc paths; in high-accident-frequency areas, the monitoring area is automatically expanded to adjacent 3-4 level topology devices to cover a wider range of potential breakdown paths.

[0101] The second step is to determine the dynamic impedance threshold based on the equipment type, environmental parameters, operation type, and the partition boundary factor corresponding to the current operation sequence and the power grid partition information.

[0102] Specifically, based on the equipment type corresponding to the current operation sequence, the equipment sensitivity coefficient is determined; based on the ambient humidity in the environmental parameters, the humidity correction coefficient is determined; based on the operation type, the stage coefficient is determined; based on the absolute value of the voltage difference between the electrical islands on both sides of the partition boundary in the power grid partition information, and the highest voltage value of the electrical islands on both sides of the partition boundary, the partition boundary factor is determined; using the equipment sensitivity coefficient, humidity correction coefficient, stage coefficient, and partition boundary factor, the basic impedance threshold is adjusted to obtain the dynamic impedance threshold.

[0103] The dynamic impedance threshold measures the impedance in a non-contact path. The device sensitivity coefficient characterizes the sensitivity of the operating device and quantifies the inherent coupling risk. The humidity correction coefficient characterizes the impact of ambient humidity on impedance. The stage coefficient represents the dynamic changes in virtual connection risk at different stages.

[0104] For example, the dynamic impedance threshold can be calculated using the formula Z1 = Z0 × α × β × γ × η, where Z0 is the basic impedance threshold and Z1 is the dynamic impedance threshold. α is the equipment sensitivity coefficient determined based on the equipment type, used to quantify the inherent coupling risk of the equipment. For example, α = 1.8 for disconnector equipment, α = 1.2 for transformer equipment, and α = 1.0 for line equipment. β is a humidity correction coefficient determined based on ambient humidity, characterizing the weakening effect of ambient humidity on insulation. β = 1 - 0.005 × (current humidity value - 30), for example, if the humidity is 60%, then the corresponding current humidity value in the formula is 60. γ is a stage coefficient determined based on the operation type, characterizing the dynamic change of virtual connection risk at different stages. The detection sensitivity in high-risk stages can be improved by reducing the γ value. The γ value depends on the operation type: γ = 1.0 in the initial operation phase, γ = 0.7 for switching operations, γ = 0.85 during the power restoration period, and γ = 0.6 during the maintenance grounding stage. The partition boundary factor η = (ΔU / Umax), where ΔU is the absolute value of the voltage difference across the partition boundary, and Umax is the highest voltage value between the voltage partitions on both sides of the partition boundary, which can be obtained from the power grid fault database. The partition boundary factor η eliminates the influence of voltage differences across the partition boundary, making the boundaries of different voltage partitions comparable.

[0105] The third step involves determining whether a non-contact virtual connection path exists based on the dynamic impedance threshold using a partitioned collaborative breadth-first search algorithm.

[0106] Specifically, a partitioned collaborative breadth-first search algorithm is employed to traverse the non-contact paths within the virtual connection monitoring area, and impedance correction is performed on non-contact paths crossing the partition boundaries of the electrical island. For each non-contact path, if the path impedance of the corrected non-contact path is less than the dynamic impedance threshold, the non-contact path is designated as a non-contact virtual connection path. These non-contact virtual connection paths include induced voltage paths formed through electromagnetic coupling, capacitive current paths formed through capacitive coupling, and implicit loops formed through unbroken grounding wires.

[0107] Optionally, a partitioned collaborative breadth-first search algorithm can be used to traverse the non-contact paths within the virtual connection monitoring area and perform impedance correction on the non-contact paths at the partition boundaries.

[0108] Specifically, impedance correction for non-contact paths can be performed using the formula Z2 = Z × (L / L0) × (△U / Umax) × β. Here, Z is the original path impedance of the non-contact path, determined by a partitioned collaborative breadth-first search algorithm to determine the device sequence of the non-contact path, and the impedance between the device sequences is calculated as the original path impedance Z. L is the physical distance across the partition boundary of the non-contact path; L0 is the physical distance of the original path. β is a humidity correction coefficient determined based on ambient humidity. The path impedance calculation includes: capacitive reactance between devices; electromagnetic induction equivalent impedance; and grounding loop resistance. Non-contact connection paths include: induced voltage paths formed through electromagnetic coupling; capacitive current paths formed through capacitive coupling; and implicit loops formed through unbroken grounding wires.

[0109] The fourth step is to determine the result of the virtual connection verification as a failure, and mark the non-contact virtual connection path and the corresponding device type and operation type; otherwise, determine the result of the virtual connection verification as a success.

[0110] Optionally, for each non-contact path within the monitoring range, if the path impedance after impedance correction is less than the dynamic impedance threshold, then the non-contact path is determined to be a non-contact virtual connection path. Therefore, the result of the virtual connection verification is determined to be a virtual connection verification failure, and the non-contact virtual connection path and its corresponding device type and operation type are marked.

[0111] If the path impedance after impedance correction of the non-contact path is greater than or equal to the dynamic impedance threshold, then the non-contact path is determined not to be a non-contact virtual connection path. Therefore, the result of the virtual connection verification is determined to be that the virtual connection verification passes.

[0112] The aforementioned method for preventing misoperation of dispatch operation tickets involves parsing the operation sequence of the dispatch operation ticket in the operation instruction to extract the equipment type, operation type, and operation sequence. Based on the real-time acquired current power grid topology, equipment status, and environmental parameters, an initial topology connection model is constructed. Then, based on the operation sequence and the initial topology connection model, the operation process of the dispatch operation ticket is dynamically simulated, and the topology connection model is updated sequentially according to the operation sequence. After each update, a misoperation prevention check is performed on the dispatch operation ticket, and the result is fed back to the corresponding dispatch system. Using this method, by performing equipment status conflict checks, operation timing violation checks, insufficient safety distance checks, relay protection mismatch checks, and virtual connection checks on the updated topology connection model, the reliability of dispatch operation ticket execution can be guaranteed.

[0113] Based on the above embodiments, this application provides a device status conflict verification method, specifically: acquiring the device status values ​​of each device in the SCADA monitoring and control system in real time; reading the current status values ​​of each device in the topology connection model; determining that the device status conflict verification result is a device status conflict verification failure when the device status value and the current status value are inconsistent; and determining that the device status conflict verification result is a device status conflict verification pass when the device status value and the current status value are consistent.

[0114] Optionally, the device status value S1 of each device in the target power grid can be obtained in real time from SCADA, and the current status value S2 of each device in the updated topology connection model can be read. When S1≠S2, the result of the device status conflict verification is determined to be a failure; when S1=S2, the result of the device status conflict verification is determined to be a success.

[0115] In this system, the status values ​​S1 and S2 can be either 1 or 0. S1 is the actual status value of the equipment collected by SCADA; for switchgear, "1" represents closed and "0" represents open. S2 is the theoretical expected status value calculated by the topology model; for switchgear, "1" represents closed and "0" represents open. When S1 = S2, the actual closing and expected closing are both true, and the absolute deviation is 0, indicating that the status is consistent. When S1 ≠ S2, if the actual closing is not true but the expected opening is true, the absolute deviation is 1, indicating a status conflict.

[0116] In this embodiment of the application, the result of the device status conflict verification is determined by comparing the device status value of the same device in SCADA with the current status value in the topology connection model, which can ensure the accuracy of the result determination.

[0117] Based on the above embodiments, this application provides an operation timing violation verification method, specifically, constructing a dependency graph between operations in the scheduling operation ticket, and defining the preconditions of key operations in each operation of the dependency graph; before simulating the execution of each operation in the scheduling operation ticket, verifying whether the preconditions of each operation are met according to the dependency graph.

[0118] The so-called dependency graph is used to define the dependencies between standard operations. Preconditions include the preceding operations to be performed. For example, if a voltage testing step is required before a grounding operation, all incoming and outgoing lines must be disconnected before a bus de-energization, or the interval between capacitor switching must be >300 seconds, the operation timing violation is considered a failure to pass the verification; otherwise, the verification passes.

[0119] Optionally, a dependency graph between operations in the scheduling operation ticket can be constructed based on the equipment adjustment principles. Then, before simulating the execution of each operation in the scheduling operation ticket, the preconditions of each operation in the scheduling operation ticket can be verified based on the preconditions of each operation contained in the dependency graph.

[0120] In this embodiment of the application, by verifying whether the preconditions of each operation are met according to the dependency graph before simulating the execution of each operation in the scheduling operation ticket, the safety of operation execution can be guaranteed.

[0121] Based on the above embodiments, this application provides a method for verifying insufficient safety distance. Specifically, for each operating device in the topology connection model, the minimum electrical distance of the operating device is determined according to the voltage and ambient humidity of the operating device; based on a three-dimensional electromagnetic field model, the electric field intensity distribution at the operating position corresponding to the operating device is simulated to determine the distance between adjacent charged devices corresponding to the operating device; an adjustment coefficient is used to weight the minimum electrical distance of the operating device to obtain a distance threshold; if the distance between adjacent charged devices of the operating device is less than the distance threshold, the result of the insufficient safety distance verification is determined to be a failure; if the distance between adjacent charged devices of the operating device is greater than or equal to the distance threshold, the result of the insufficient safety distance verification is determined to be a pass.

[0122] The minimum electrical distance is theoretically the minimum safe distance required between the equipment to be operated and the equipment. The distance between adjacent energized devices is the distance between the operating position of the equipment and adjacent energized devices of the equipment to be operated. Adjacent energized devices are those electrical devices adjacent to the equipment to be operated and that are energized.

[0123] Optionally, for each operating device in the topology connection model, the basic breakdown distance corresponding to the device voltage can be determined first based on the voltage of the device to be operated. Then, by using a humidity adjustment factor corresponding to the ambient humidity, the basic breakdown distance can be optimized to obtain the minimum electrical distance of the device to be operated. Furthermore, based on a three-dimensional electromagnetic field model, the electric field intensity distribution at the operating position corresponding to the operating device can be simulated to obtain the distance between the operating device and adjacent charged devices.

[0124] An adjustment factor can be used to weight the minimum electrical distance to the operating equipment to obtain a distance threshold. For example, the distance threshold can be 1.2D_min, where D_min is the minimum electrical distance and 1.2 is the adjustment factor.

[0125] Furthermore, if the distance between adjacent live equipment and operating equipment is less than the distance threshold, the result of the insufficient safety distance verification is determined to be insufficient safety distance verification failure; if the distance between adjacent live equipment and operating equipment is greater than or equal to the distance threshold, the result of the insufficient safety distance verification is determined to be insufficient safety distance verification pass.

[0126] In this embodiment of the application, the result of the safety distance insufficient verification is determined by calculating the minimum electrical distance and the distance between adjacent energized equipment, which can ensure the accuracy of the result determination.

[0127] Based on the above embodiments, this application provides a relay protection mismatch verification method, specifically, determining the protection devices within the scope of the update operation's influence; and determining whether the protection settings within the protection devices cover the topology changes after the update operation. The coverage of the protection settings is characterized by the sensitivity coefficient and action delay of the protection devices. If the sensitivity coefficient is less than 1.5 or the action delay is greater than 300ms, the relay protection mismatch verification result is determined to be a failure; if the sensitivity coefficient is greater than or equal to 1.5 and the action delay is less than or equal to 300ms, the relay protection mismatch verification result is determined to be a success.

[0128] The so-called "range of influence of update operation" refers to the scope of impact of dispatch operation within the target power grid. The so-called "protection device" refers to the equipment that protects the operation of the power grid. The so-called "protection setting" refers to the protection parameters in the power grid protection device, such as the protection operating current.

[0129] Optionally, the operational impact range of the scheduling operation can be determined based on the model differences between the updated model and the topology connection model. Then, the protection devices within the operational impact range are located from the updated model.

[0130] The sensitivity coefficient can be calculated based on the ratio between the minimum short-circuit current on the line in the updated model and the operating current of the protection devices in the power grid. Alternatively, fault simulations can be performed on the updated model to determine the operating delay of each power grid protection device.

[0131] The sensitivity coefficient can be compared with a sensitivity threshold, and the action delay can be compared with a delay threshold. Then, based on the comparison results, the verification result of the scheduling operation is determined. The sensitivity threshold can be 1.5; the delay threshold is 300ms. That is, when the sensitivity coefficient < 1.5 and / or the action delay > 300ms, the relay protection mismatch verification result is determined to be a failure; when the sensitivity coefficient ≥ 1.5 and the action delay ≤ 300ms, the relay protection mismatch verification result is determined to be a success.

[0132] In this embodiment of the application, the result of the relay protection mismatch verification is determined by calculating the sensitivity coefficient and the action delay, which can ensure the accuracy of the result determination.

[0133] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0134] Based on the same inventive concept, this application also provides a device for preventing misoperation of scheduling operation tickets, which is used to implement the aforementioned method for preventing misoperation of scheduling operation tickets. The solution provided by this device is similar to the solution described in the above method. Therefore, the specific limitations of one or more embodiments of the device for preventing misoperation of scheduling operation tickets provided below can be found in the limitations of the method for preventing misoperation of scheduling operation tickets described above, and will not be repeated here.

[0135] In one exemplary embodiment, such as Figure 2 As shown, a device 1 for preventing misoperation of scheduling operation tickets is provided, comprising: a parsing module 10, a model building module 20, a model updating module 30, and a verification module 40, wherein:

[0136] The parsing module 10 is used to parse the operation sequence of the scheduling operation ticket in the operation instruction to extract the device type, operation type and operation order in the operation instruction;

[0137] The model building module 20 is used to build an initial topology connection model based on the real-time acquired current power grid topology, equipment status and environmental parameters.

[0138] The model update module 30 is used to dynamically simulate the operation process of scheduling operation tickets according to the operation sequence and the initial topology connection model, and update the topology connection model sequentially according to the operation order.

[0139] The verification module 40 is used to perform anti-misoperation verification of the scheduling operation ticket after each update of the topology connection model, and to feed back the result of the anti-misoperation verification of the operation ticket to the scheduling system corresponding to the scheduling operation ticket. The anti-misoperation verification includes equipment status conflict verification, operation timing violation verification, insufficient safety distance verification, relay protection mismatch verification, and virtual connection verification. If the anti-misoperation verification fails, the result is that there is a risk; if the anti-misoperation verification succeeds, the result is that there is no risk.

[0140] The verification module 40 is also used for:

[0141] Obtain the grid partition information involved in the operation of updating the topology connection model; determine the dynamic impedance threshold based on the equipment type, environmental parameters, operation type corresponding to the current operation sequence, and the partition boundary factor corresponding to the grid partition information; determine whether there is a non-contact virtual connection path based on the dynamic impedance threshold using a partitioned collaborative breadth-first search algorithm; if yes, determine the result of the virtual connection verification as virtual connection verification failure, and mark the non-contact virtual connection path and its corresponding equipment type and operation type; if no, determine the result of the virtual connection verification as virtual connection verification success.

[0142] In one exemplary embodiment, the verification module 40 is further configured to:

[0143] When the operation corresponding to the updated topology connection model involves a change in the device status across the partition boundary of an electrical island, the virtual connection monitoring area centered on the partition boundary is activated to obtain the power grid partition information involved in the operation corresponding to the updated topology connection model. The range of the virtual connection monitoring area is dynamically determined based on the absolute value of the voltage difference between the electrical islands on both sides of the partition boundary and the historical virtual connection accident frequency coefficient of the partition boundary.

[0144] In one exemplary embodiment, the verification module 40 is further configured to:

[0145] Based on the equipment type corresponding to the current operation sequence, determine the equipment sensitivity coefficient; based on the ambient humidity in the environmental parameters, determine the humidity correction coefficient; based on the operation type, determine the stage coefficient; based on the absolute value of the voltage difference between the electrical islands on both sides of the partition boundary in the power grid partition information, and the highest voltage value of the electrical islands on both sides of the partition boundary, determine the partition boundary factor; using the equipment sensitivity coefficient, humidity correction coefficient, stage coefficient, and partition boundary factor, adjust the basic impedance threshold to obtain the dynamic impedance threshold.

[0146] In one exemplary embodiment, the verification module 40 is further configured to:

[0147] A partitioned collaborative breadth-first search algorithm is adopted to traverse the non-contact paths within the virtual connection monitoring area and to perform impedance correction on non-contact paths that cross the partition boundaries of the electrical island. For each non-contact path, if the path impedance of the corrected non-contact path is less than the dynamic impedance threshold, the non-contact path is regarded as a non-contact virtual connection path. The non-contact virtual connection path includes the induced voltage path formed by electromagnetic coupling, the capacitive current path formed by capacitive coupling, and the implicit loop formed by the undisconnected grounding wire.

[0148] In one exemplary embodiment, the verification module 40 is further configured to:

[0149] The system acquires the device status values ​​of each device in the SCADA (Supervisory Control and Data Acquisition) system in real time; reads the current status values ​​of each device in the topology connection model; if the device status value and the current status value are inconsistent, the system determines that the device status conflict verification result is device status conflict verification failure; if the device status value and the current status value are consistent, the system determines that the device status conflict verification result is device status conflict verification success.

[0150] In one exemplary embodiment, the verification module 40 is further configured to:

[0151] Construct a dependency graph among the operations in the scheduling operation ticket, and define the preconditions of the key operations in each operation of the dependency graph; before simulating the execution of each operation in the scheduling operation ticket, verify whether the preconditions of each operation are met according to the dependency graph.

[0152] In one exemplary embodiment, the verification module 40 is further configured to:

[0153] For each operating device in the topology connection model, the minimum electrical distance of the operating device is determined based on the voltage and ambient humidity of the operating device. Based on the three-dimensional electromagnetic field model, the electric field intensity distribution at the corresponding operating position of the operating device is simulated to determine the distance between the operating device and its adjacent energized devices. An adjustment coefficient is used to weight the minimum electrical distance of the operating device to obtain a distance threshold. If the distance between the operating device and its adjacent energized devices is less than the distance threshold, the result of the insufficient safety distance check is determined as a failure. If the distance between the operating device and its adjacent energized devices is greater than or equal to the distance threshold, the result of the insufficient safety distance check is determined as a pass.

[0154] In one exemplary embodiment, the verification module 40 is further configured to:

[0155] Identify the protection devices within the scope of the update operation; determine whether the protection settings within the protection devices cover the topology changes after the update operation; the coverage of the protection settings is characterized by the sensitivity coefficient and action delay of the protection devices; if the sensitivity coefficient is less than 1.5 or the action delay is greater than 300ms, the result of the relay protection mismatch verification is determined to be a failure; if the sensitivity coefficient is greater than or equal to 1.5 and the action delay is less than or equal to 300ms, the result of the relay protection mismatch verification is determined to be a success.

[0156] The various modules in the aforementioned anti-misoperation device for scheduling operation tickets can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of a computer device in hardware form or independent of it, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0157] In one exemplary embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 3 As shown, this computer device includes a processor, memory, input / output (I / O) interfaces, and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The database stores power grid operation data. The I / O interfaces are used for exchanging information between the processor and external devices. The communication interface is used for communication with external terminals via a network connection. When executed by the processor, the computer program implements a method for preventing misoperation of dispatch operation tickets.

[0158] Those skilled in the art will understand that Figure 3 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0159] In one embodiment, a computer device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above method embodiments.

[0160] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon that, when executed by a processor, implements the steps in the above method embodiments.

[0161] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above method embodiments.

[0162] It should be noted that the data involved in this application (including but not limited to power grid operation data) are all data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0163] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0164] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0165] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for preventing misoperation of a scheduling operation ticket, characterized in that, The method includes: The operation sequence of the scheduling operation ticket in the operation instruction is parsed to extract the device type, operation type and operation order in the operation instruction; Based on the real-time acquisition of the current power grid topology, equipment status, and environmental parameters, an initial topology connection model is constructed. Based on the operation sequence and the initial topology connection model, the operation process of the scheduling operation ticket is dynamically simulated, and the topology connection model is updated sequentially according to the operation order. After each update of the topology connection model, a misoperation prevention check is performed on the scheduling operation ticket, and the result of the misoperation prevention check is fed back to the scheduling system corresponding to the scheduling operation ticket. The misoperation prevention check includes equipment status conflict check, operation timing violation check, insufficient safety distance check, relay protection mismatch check, and virtual connection check. If the misoperation prevention check fails, the result indicates a risk exists; if the misoperation prevention check succeeds, the result indicates no risk exists. The virtual connection verification includes: Obtain the power grid partition information involved in the operation of updating the topology connection model; determine the dynamic impedance threshold based on the device type, environmental parameters, operation type, and partition boundary factor corresponding to the current operation sequence and the power grid partition information; determine whether there is a non-contact virtual connection path based on the dynamic impedance threshold using a partitioned collaborative breadth-first search algorithm; if yes, determine the result of the virtual connection verification as virtual connection verification failure, and mark the non-contact virtual connection path and its corresponding device type and operation type; if no, determine the result of the virtual connection verification as virtual connection verification success.

2. The method according to claim 1, characterized in that, The process of obtaining the power grid partition information involved in the operation corresponding to the updated topology connection model includes: When the operation corresponding to this update of the topology connection model involves a change in the device state across the partition boundary of the electrical island, the virtual connection monitoring area centered on the partition boundary is activated to obtain the power grid partition information involved in the operation corresponding to this update of the topology connection model. The range of the virtual connection monitoring area is dynamically determined based on the absolute value of the voltage difference between the electrical islands on both sides of the partition boundary and the historical virtual connection accident frequency coefficient of the partition boundary.

3. The method according to claim 1, characterized in that, The step of determining the dynamic impedance threshold based on the device type, environmental parameters, operation type, and partition boundary factor corresponding to the power grid partition information corresponding to the current operation sequence includes: Determine the device sensitivity coefficient based on the device type corresponding to the current operation sequence; Determine the humidity correction factor based on the ambient humidity among the environmental parameters; Determine the stage coefficient based on the operation type; The partition boundary factor is determined based on the absolute value of the voltage difference between the electrical islands on both sides of the partition boundary in the power grid partition information, and the highest voltage value of the electrical islands on both sides of the partition boundary. The basic impedance threshold is adjusted using the device sensitivity coefficient, the humidity correction coefficient, the stage coefficient, and the partition boundary factor to obtain the dynamic impedance threshold.

4. The method according to claim 2, characterized in that, The step of determining whether a non-contact virtual connection path exists based on the dynamic impedance threshold using a partitioned collaborative breadth-first search algorithm includes: A partitioned collaborative breadth-first search algorithm is used to traverse the non-contact paths within the virtual connection monitoring area, and impedance correction is performed on the non-contact paths that cross the partition boundaries of the electrical island. For each non-contact path, if the path impedance of the corrected non-contact path is less than the dynamic impedance threshold, the non-contact path is regarded as a non-contact virtual connection path; wherein, the non-contact virtual connection path includes an induced voltage path formed by electromagnetic coupling, a capacitive current path formed by capacitive coupling, and a hidden loop formed by an undisconnected grounding wire.

5. The method according to claim 1, characterized in that, The device status conflict verification includes: Real-time acquisition of device status values ​​for each device in the SCADA (Supervisory Control and Data Acquisition) system; Read the current state value of each device in the topology connection model; If the device status value and the current status value are inconsistent, the result of the device status conflict check is determined to be a device status conflict check failure. If the device status value and the current status value are consistent, the result of the device status conflict verification is determined to be that the device status conflict verification has passed.

6. The method according to claim 1, characterized in that, The operation timing violation check includes: Construct a dependency graph among the operations in the scheduling operation ticket, and define the preconditions for the key operations in each operation of the dependency graph; Before simulating the execution of each operation in the scheduling operation ticket, the preconditions of each operation are verified according to the dependency graph.

7. The method according to claim 1, characterized in that, The insufficient safety distance verification includes: For each operating device in the topology connection model, the minimum electrical distance of the operating device is determined based on the voltage of the operating device and the ambient humidity. Based on a three-dimensional electromagnetic field model, the electric field intensity distribution at the operation position corresponding to the operating device is simulated to determine the distance between adjacent charged devices corresponding to the operating device. The minimum electrical distance to the operating equipment is weighted using adjustment coefficients to obtain a distance threshold; If the distance between adjacent live devices of the operating device is less than the distance threshold, the result of the insufficient safety distance verification is determined to be a failure of the insufficient safety distance verification. If the distance between adjacent live devices of the operating device is greater than or equal to the distance threshold, the result of the insufficient safety distance verification is determined to be that the insufficient safety distance verification has passed.

8. The method according to claim 1, characterized in that, The relay protection mismatch verification includes: Identify the protective devices within the scope of the update operation's impact; Determine whether the protection settings in the protection device cover the topology changes after the update operation; wherein the coverage of the protection settings is characterized by the sensitivity coefficient and action delay of the protection device; if the sensitivity coefficient is less than 1.5 or the action delay is greater than 300ms, the result of the relay protection mismatch check is determined to be a relay protection mismatch check failure; if the sensitivity coefficient is greater than or equal to 1.5 and the action delay is less than or equal to 300ms, the result of the relay protection mismatch check is determined to be a relay protection mismatch check success.

9. A device for preventing misoperation of a dispatching operation ticket, characterized in that, The device includes: The parsing module is used to parse the operation sequence of the scheduling operation ticket in the operation instruction to extract the device type, operation type and operation order in the operation instruction; The model building module is used to build an initial topology connection model based on the real-time acquired current power grid topology, equipment status, and environmental parameters. The model update module is used to dynamically simulate the operation process of the scheduling operation ticket according to the operation sequence and the initial topology connection model, and update the topology connection model sequentially according to the operation order. The verification module is used to perform anti-misoperation verification on the scheduling operation ticket after each update of the topology connection model, and to feed back the result of the anti-misoperation verification to the scheduling system corresponding to the scheduling operation ticket; wherein, the anti-misoperation verification includes equipment status conflict verification, operation timing violation verification, insufficient safety distance verification, relay protection mismatch verification, and virtual connection verification; if the anti-misoperation verification fails, the result is that there is a risk; if the anti-misoperation verification succeeds, the result is that there is no risk. The verification module is further used for: Obtain the power grid partition information involved in the operation of updating the topology connection model; determine the dynamic impedance threshold based on the device type, environmental parameters, operation type, and partition boundary factor corresponding to the current operation sequence and the power grid partition information; determine whether there is a non-contact virtual connection path based on the dynamic impedance threshold using a partitioned collaborative breadth-first search algorithm; if yes, determine the result of the virtual connection verification as virtual connection verification failure, and mark the non-contact virtual connection path and its corresponding device type and operation type; if no, determine the result of the virtual connection verification as virtual connection verification success.

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

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