Power transformation switching real-time anti-misoperation verification method fusing grounding wire state

Abstract

The invention relates to the technical field of intelligent anti-misoperation, in particular to a power transformation switching real-time anti-misoperation checking method fusing a grounding wire state, which comprises the following steps: traversing grounding wires in a power system, creating a grounding wire digital twinning body for each grounding wire, and synchronizing the physical hooking position, serial number and state information of each grounding wire to an anti-misoperation checking system in real time; and fusing the digital twin data of the ground wire with power grid multi-source heterogeneous data including a power grid equipment ledger, an equipment state and a scheduling instruction. According to the method, the digital twins are created for each grounding wire and the state information of the grounding wire is synchronized in real time, so that the hooking position, the number and the state of the grounding wire can be comprehensively checked before switching operation, an operation object is ensured to be in a safe state, serious accidents such as live-line grounding wire hooking or grounding wire switching-on caused by unknown state of the grounding wire are avoided, and the working efficiency is improved. And the operation safety is obviously improved.

Description

Technical Field

[0001] This invention relates to the field of intelligent anti-misoperation technology, and more specifically, to a real-time anti-misoperation verification method for substation switching that integrates grounding wire status. Background Technology

[0002] Substation switching operations are a critical link in the power system, mainly used for equipment maintenance, repair, and topology adjustment in substations to ensure the safe and stable operation of the power grid. However, since switching operations involve the coordinated control of multiple devices, operational errors may lead to equipment damage, system failures, or even large-scale power outages. Therefore, the application of real-time error prevention verification in substation switching is crucial.

[0003] In existing technologies, traditional anti-misoperation verification systems typically do not include the grounding wire status in the verification scope. They rely on grounding wire status information from dispatch notifications, which often cannot be verified in real time. Performing switching operations when the grounding wire status is unclear can easily lead to serious accidents such as connecting grounding wires while they are energized or closing switches with grounding wires connected. Therefore, how to combine digital twin technology to construct a digital twin for each grounding wire and include it in the anti-misoperation verification scope to avoid misoperation accidents caused by unclear grounding wire status and reduce the risk of misoperation is the problem that this invention aims to solve. To this end, a real-time anti-misoperation verification method for substation switching that integrates grounding wire status is proposed. Summary of the Invention

[0004] The purpose of this invention is to provide a real-time anti-misoperation verification method for substation switching based on the grounding wire status, so as to solve the problems mentioned in the background art.

[0005] This invention is achieved through the following technical solution: This invention provides a real-time anti-misoperation verification method for substation switching based on grounding wire status, comprising: Traverse the grounding wires in the power system, create a digital twin for each grounding wire, and synchronize its physical connection location, number, and status information to the anti-misoperation verification system in real time; The grounding wire digital twin data is integrated with multi-source heterogeneous power grid data, including power grid equipment ledgers, equipment status, and dispatch instructions, to form a data base; Based on the data and equipment status of the grounding wire digital twin in the data base, the power grid topology is reconstructed on the digital twin platform; Construct error prevention verification rules, associate error prevention verification rules with the reconstructed power grid topology, and cover grounding wire status verification; When a signal indicating that a switching operation is in progress is obtained, the grounding wire status and changes in the power grid topology are continuously monitored, and anti-misoperation verification is triggered in real time. After completing the switching operation, the final state of the grounding wire is written back, the data is archived, and the anti-misoperation verification rules and power grid topology are optimized.

[0006] Preferably, the real-time synchronization of its physical attachment location, number, and status information to the anti-misoperation verification system includes: The entire station's grounding wires are scanned using IoT sensors to identify physical connection locations, unique identification numbers, and status information. A digital twin of the grounding wire is created in the anti-misoperation verification system and bound to IoT sensor data to map changes in physical status. Using 5G or fiber optic communication networks, the grounding wire data collected by IoT sensors is transmitted to the anti-misoperation verification system, where it is cleaned, verified, and standardized. After removing outliers, it is updated to the grounding wire digital twin. The key safety variables of the grounding wire digital twin are determined and embedded into the pre-operation verification logic of the anti-misoperation verification system.

[0007] Preferably, the IoT sensor includes an RFID tag, a UWB positioning module, and a current transformer to identify the physical connection location, unique identification number, and status information of the grounding wire, wherein the status information of the grounding wire includes connection, removal, and abnormality. The RFID tag is used to bind a unique identification number to the grounding wire, which is identified by scanning with an RFID reader. The UWB positioning module is used to locate the physical connection position of the grounding wire in real time. The current transformer is used to monitor the current change when the grounding wire is connected.

[0008] Preferably, the fusion of multi-source heterogeneous data from the power grid includes: Based on the timestamp synchronization mechanism and sliding window algorithm, the grounding wire status change time and the equipment status measurement time are aligned, and an equipment-grounding wire association model is constructed to determine the logical coupling relationship between the grounding wire and the primary equipment; Outlier removal and redundant data completion are performed on the merged multi-source data. The processed data is then stored in a time-series database and a graph database to form a data base.

[0009] Preferably, the reconstruction of the power grid topology on the digital twin platform includes: The grounding wire digital twin data and equipment status data are cleaned, and the grounding wire status and equipment status data are synchronized through a timestamp alignment mechanism. The logical association between equipment and grounding wire is established by utilizing the topological relationship of the power grid equipment ledger. Based on the preprocessed data, the power grid topology is dynamically reconstructed using the modeling tools of the digital twin platform. The equipment status and grounding wire digital twin data are analyzed, and the power grid connection status and logical relationships between equipment are updated in combination with the power grid topology. After the power grid topology is reconstructed, the reconstructed power grid topology is compared with the actual operating status of the power grid to verify the accuracy of equipment connections and grounding wire connection positions, and the verified power grid topology is synchronized to the anti-misoperation verification system.

[0010] Preferably, associating the error prevention verification rules with the reconstructed power grid topology includes: The power grid topology is stored in a graph database, and equipment nodes and grounding nodes are marked as rule association objects. The electrical connection relationships between nodes are defined as rule triggering conditions, and a rule-topology mapping table is established. When the power grid topology is reconstructed due to changes in device status or adjustments to physical connections, the topology change notifications of added or deleted edges are captured by the event listener. The change content is obtained and the affected rule range is located. Based on the change content, the error prevention verification rules that conform to the new topology are regenerated. After logical consistency verification, the rules are stored in the rule base and marked as pending effect. The updated error prevention verification rules are pushed from the digital twin platform to the error prevention verification system. The error prevention verification system uses a version comparison mechanism to determine whether to update. If so, the execution of the current error prevention verification rule is frozen, the new error prevention verification rule is loaded and its compatibility is verified. After the verification is successful, the new error prevention verification rule takes effect and is applied to subsequent operation verifications. At the same time, the update log is recorded. If not, no action is taken.

[0011] Preferably, the rules for constructing error-proof verification include: Obtain the triggering conditions for the anti-false verification and obtain the device status involved in the anti-false verification; Based on the current device status and triggering conditions, the system determines whether a misoperation has occurred and sends the result to the error prevention verification system.

[0012] Preferably, when a signal indicating that a switching operation is in progress is obtained, continuous monitoring of the grounding wire status and changes in the power grid topology includes: The system collects the grounding wire status, equipment status and operation task information in real time before the switching operation through IoT sensors, SCADA system and operation ticket platform, and uses the timestamp alignment mechanism to eliminate the data collection time difference. Using the operation task as the trigger condition, the matching between the grounding wire position and the operation range is verified, an operation evaluation model is established, the basic parameters of the power system in the current switching operation are obtained, the evaluation index is obtained through the operation evaluation model based on the basic parameters, and it is determined whether to mark it as a risky operation based on the current evaluation index, and a conflict report is generated. An alarm signal to interrupt the operation is issued for the risky operation, the violation record is uploaded, and a digital ledger containing the operation time, equipment, risk type and handling result is generated.

[0013] Preferably, establishing the operational evaluation model includes: The obtained power fundamental parameters are normalized:

[0014] Establish an operational evaluation model:

[0015] In the formula, For the i-th type and j-th normalized data, The maximum value among the i-th data types. Let be the minimum value among the i-th data types, and be the j-th original input data of the i-th type. As an evaluation index, The initial voltage of the power system. The current voltage of the power system. The initial current of the power system, The initial current of the power system, This represents the initial output power of the power system. This represents the current output power of the power system. The average voltage from the switching point to the current voltage. The average current from the switching point to the current. The number of time series. , and To calculate the weights; Set a judgment threshold, when If the value exceeds the judgment threshold, an alarm signal is issued indicating that the current operation is a risky operation.

[0016] Preferably, the step of writing back the final state of the grounding wire after completing the switching operation, archiving the data, and optimizing the anti-misoperation verification rules and power grid topology includes... After receiving the signal that the switching operation is completed, the grounding wire status is written back, the final status information of the grounding wire is updated to the grounding wire digital twin, and various data generated during the switching operation are archived and stored in the time series database and graph database. By utilizing the equipment status changes and grounding wire final status information in the archived data, the power grid topology is dynamically updated. Combined with real-time data, the connection status of the power grid and the logical relationships between devices are adjusted. Based on the updated power grid topology, the anti-misoperation verification rules are regenerated.

[0017] The technical solution of the present invention has at least the following advantages and beneficial effects: This invention provides a real-time anti-misoperation verification method for substation switching that integrates grounding wire status. By creating a digital twin for each grounding wire and synchronizing its status information in real time, the method can comprehensively verify the connection position, number, and status of the grounding wire before switching operations, ensuring that the operation object is in a safe state. This avoids serious accidents such as connecting grounding wires while the grounding wire is energized or closing the circuit with the grounding wire connected due to unclear grounding wire status, significantly improving the safety of the operation. At the same time, the grounding wire status is embedded as a key safety variable into the anti-misoperation verification logic to ensure that all safety conditions are met before the operation.

[0018] This invention provides a real-time anti-misoperation verification method for substation switching based on grounding wire status. By integrating grounding wire digital twin data with multi-source heterogeneous data of the power grid, a data base is formed, and the power grid topology is reconstructed in real time on the digital twin platform. This enables the system to quickly adapt to changes in the power grid's operating status, such as equipment maintenance and topology adjustments, ensuring that the anti-misoperation verification rules are always consistent with the actual power grid status, thereby reducing the risk of misoperation caused by changes in the power grid status.

[0019] This invention provides a real-time anti-misoperation verification method for substation switching that integrates grounding wire status. It associates the anti-misoperation verification rules based on five-prevention logic with the reconstructed power grid topology, enabling the anti-misoperation verification rules to be automatically updated with topology changes, ensuring the accuracy and timeliness of the anti-misoperation verification, and avoiding the limitations of static rules in dynamic environments. Attached Figure Description

[0020] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 This is a schematic diagram of the overall process of the present invention; Figure 2 This is a schematic diagram of a method flow according to an embodiment of the present invention. Detailed Implementation

[0022] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, 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. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0023] The independently described modules or sub-modules may or may not be physically separated; they may be implemented in software or hardware, and some modules or sub-modules may be implemented in software, with the processor calling the software to implement the function of these modules or sub-modules, while other modules or sub-modules may be implemented in hardware, such as through hardware circuits. Furthermore, some or all of the modules can be selected to achieve the purpose of this application's solution according to actual needs.

[0024] Please refer to Figures 1-2 The present invention provides a real-time anti-misoperation verification method for substation switching based on grounding wire status, comprising: S1: Traverse the grounding wires in the power system, create a digital twin for each grounding wire, and synchronize its physical connection location, number, and status information to the anti-misoperation verification system in real time; As a critical safety variable that must be verified before switching operations, IoT sensors are deployed in the substation to automatically scan all grounding wires, identify their physical connection locations, unique identifiers, and status information, and create a digital twin of the grounding wire in the anti-misoperation verification system. The IoT sensor data is bound to the digital twin to map changes in physical status. Using a 5G / fiber optic communication network, the grounding wire data collected by the IoT sensors is transmitted to the anti-misoperation verification system, where it is cleaned, verified, and standardized. After removing outliers, the data is updated to the digital twin of the grounding wire. Data consistency and system fault tolerance are ensured through timestamp alignment and redundancy verification. The key safety variables of the digital twin of the grounding wire are determined, and the pre-switching operation verification logic of the anti-misoperation verification system is embedded to ensure operational safety. The Internet of Things (IoT) sensors include RFID tags, UWB positioning modules, and current transformers to identify the physical connection location, unique identification number, and status information of the grounding wire. The status information of the grounding wire includes connection, removal, and abnormality. RFID tags are used to bind the unique identification number of the grounding wire, which is scanned and identified by an RFID reader; UWB positioning module is used to locate the physical connection position of the grounding wire in real time, accurate to the equipment interval number; current transformer is used to monitor the current change when the grounding wire is connected, to assist in the judgment of the grounding wire status. The specific work involves: Automated scanning of all grounding wires in the substation is performed using IoT sensors deployed within the substation, including RFID tags, UWB positioning modules, and current transformers. Each IoT sensor scans once per second, identifying the physical connection location, unique identifier, and status information of each grounding wire. Based on the scanning results, a corresponding digital twin is created for each grounding wire in the anti-misoperation verification system. The twin's attributes include location coordinates, device associations, real-time status fields, and timestamps. Data is bound between the IoT sensors and the digital twins to ensure accurate mapping of physical state changes to the digital twins. The grounding wire data collected by the IoT sensors is then transmitted to the anti-misoperation verification system using a 5G / fiber optic communication network. The verification system has a transmission cycle of ≤100ms and performs cleaning, verification, and standardization on multi-source heterogeneous data. After removing outliers, it updates the grounding wire digital twin. A timestamp alignment mechanism is used to ensure consistency between the physical state and the digital model. Simultaneously, through a built-in redundancy verification mechanism, an alarm is automatically triggered and the last valid state is maintained when data transmission is interrupted or IoT sensor malfunctions, avoiding misjudgments. The physical connection location, unique identifier, and status information in the grounding wire digital twin are used as key security variables and embedded into the pre-operation verification logic of the anti-misjudgment verification system. Furthermore, the data from the grounding wire digital twin interacts in real time with the central control station and the five-prevention system via API interfaces, ensuring that the anti-misjudgment rules of the entire station are dynamically executed based on the latest state. S2: Integrate the grounding wire digital twin data with multi-source heterogeneous power grid data, including power grid equipment ledgers, equipment status, and dispatch instructions, to form a data base; This process integrates grounding wire digital twin data with multi-source heterogeneous data from the power grid, including equipment ledgers, equipment status, and dispatch instructions. It also establishes unified field naming and encoding rules for the data mapping table, utilizes natural language processing to convert unstructured data into structured data to ensure semantic consistency, aligns grounding wire status change times with equipment status measurement times based on timestamp synchronization mechanisms and sliding window algorithms, constructs an equipment-grounding wire association model to determine the logical coupling relationship between grounding wires and primary equipment, and then uses knowledge graph technology to form a panoramic view of the power grid's operating status. The integrated multi-source data undergoes outlier removal and redundant data completion, and the processed data is stored in a time-series database and a graph database, forming a data foundation covering equipment status, operation instructions, and grounding wire dynamics. The specific work involves: constructing a unified data access framework to integrate collected grounding wire digital twin data with multi-source heterogeneous power grid data. This multi-source heterogeneous power grid data includes equipment ledgers (parameters, topology relationships), equipment status (SCADA real-time measurements, protection signals), and dispatch instructions (operation tasks, time windows). A standardized interface protocol (IEC 61850) is used to achieve multi-system data interoperability, and a unified field naming and encoding rule is adopted using a data mapping table. For unstructured data (dispatch instruction text), natural language processing technology is used to extract key operation objects and convert them into structured data, ensuring semantic consistency across all data sources. Based on a timestamp synchronization mechanism, a sliding window algorithm is used to align grounding wire status change times with equipment status measurement times, eliminating timing misalignments caused by differences in data acquisition cycles. Simultaneously, utilizing the topology relationships in the power grid equipment ledger, an equipment-grounding wire association model is constructed to clarify the logical coupling relationship between the grounding wire connection location and primary equipment (circuit breakers, disconnectors, etc.), and this is further clarified through knowledge sharing. The graph recognition technology associates equipment status, dispatch instructions, and grounding wire digital twin data to form a panoramic view of the power grid's operating status, ensuring that the fused data can accurately reflect the physical and logical state of the power grid before and after the operation. The fused multi-source data, including grounding wire digital twin data and multi-source heterogeneous data of the power grid, is subjected to quality verification to remove outliers (such as UWB positioning offset, abrupt changes in state variables, etc.) and missing values ​​are filled in with redundant sensor data. The processed data is stored in a time-series database (InfluxDB) and a graph database (Neo4j) to support real-time query and complex correlation analysis, respectively, forming a data base covering equipment status, operation instructions, and grounding wire dynamics.

[0025] S3: Based on the data related to the grounding wire digital twin in the data base and the equipment status, reconstruct the power grid topology on the digital twin platform; To ensure the topology matches the actual operating state, the digital twin platform performs preprocessing operations such as cleaning and standardization on the grounding wire digital twin data and equipment status data, unifying the data format. A timestamp alignment mechanism synchronizes the grounding wire status and equipment status data. Utilizing the topological relationships in the power grid equipment ledger, logical associations between equipment and grounding wires are established. Based on the preprocessed data, the modeling tools of the digital twin platform dynamically reconstruct the power grid topology. The platform analyzes the equipment status and grounding wire digital twin data, and, combined with the power grid topology relationships, updates the power grid connection status and logical relationships between equipment. This ensures the topology accurately reflects the actual operating state of the power grid. After the topology reconstruction is complete, the reconstructed topology is compared with the actual operating state to verify the accuracy of equipment connections and grounding wire mounting positions. Any discrepancies are immediately adjusted and corrected. The verified topology is then synchronized to the anti-misoperation verification system to ensure that the anti-misoperation verification rules are dynamically updated and executed based on the latest topology. The specific work involves: Preprocessing the grounding wire digital twin data and equipment status data in the digital twin platform. This includes cleaning and standardizing the location coordinates and status fields of the grounding wire digital twin, as well as the real-time status information of the equipment, to ensure consistent and error-free data formats. Simultaneously, a timestamp alignment mechanism is used to synchronize the grounding wire status with the equipment status data, eliminating timing misalignments caused by different data acquisition cycles. Furthermore, the logical association between equipment and grounding wires is established using the topological relationships in the power grid equipment ledger. Based on the preprocessed data, the modeling tools of the digital twin platform are used to dynamically reconstruct the power grid topology. By analyzing the equipment status and grounding wire digital twin data, combined with the power grid's topological relationships, the connection status of the power grid is updated in real time. The system establishes logical relationships between states and devices. Based on the real-time status of devices (circuit breaker open / closed status, disconnector position, etc.) and the grounding wire connection status, the power grid topology is adjusted to ensure it accurately reflects the actual operating state of the power grid. After reconstructing the power grid topology, verification and synchronization are performed. By comparing the reconstructed topology with the actual operating state, the accuracy of the topology is verified. This includes checking whether the connections between devices are correct and whether the grounding wire connection positions are consistent with reality. If any discrepancies are found between the topology and the actual operating state, adjustments and corrections are immediately made. Simultaneously, the reconstructed topology is synchronized to the anti-misoperation verification system to ensure that the anti-misoperation verification rules are dynamically updated and executed based on the latest power grid topology.

[0026] S4: Associate the error prevention and verification rules based on the five-prevention logic with the reconstructed power grid topology, enabling the error prevention and verification rules to be automatically updated with topology changes, covering grounding wire status verification. In the digital twin platform, error prevention and verification rules are constructed based on the five-prevention logic, the logical expressions are parsed and abstracted into topology constraints, and the power grid topology is stored in a graph database. Equipment nodes and grounding wire nodes are marked as rule association objects, the electrical connection relationships between nodes are defined as rule triggering conditions, and a rule-topology mapping table is established. When the power grid topology is reconstructed due to changes in equipment status or adjustments to physical connections, topology change notifications of added / deleted edges are captured through event listeners. The system analyzes the changes and identifies the affected rule range. Based on the changes, it regenerates anti-error verification rules that conform to the new topology. After logical consistency verification, the rules are stored in the rule base and marked as pending. The updated anti-error verification rules are pushed from the digital twin platform to the anti-error verification system. The pushed content includes metadata such as rule ID, applicable topology range, locking conditions, and effective time. The anti-error verification system confirms the necessity of the update through a version comparison mechanism, freezes the execution of the current anti-error verification rules, loads the new anti-error verification rules and verifies compatibility. After successful verification, the new anti-error verification rules take effect and are applied to subsequent operation verifications. At the same time, the update log is recorded. The specific work involves: constructing anti-misoperation verification rules based on five-prevention logic (preventing accidental opening and closing of circuit breakers, preventing the opening and closing of disconnecting switches under load, etc.) in the digital twin platform, establishing a dynamic association with the reconstructed power grid topology, parsing the logical expressions of the five-prevention logic (e.g., "If a grounding wire is connected to line A, then closing the circuit breaker of line A is prohibited"), abstracting them into topological constraints (e.g., "When there is an electrical connection between the grounding wire node and the circuit breaker node, the circuit breaker operation is locked"). Then, the topology is stored through a graph database, marking equipment nodes (circuit breakers, disconnecting switches, etc.) and grounding wire nodes as rule association objects, and defining the electrical connection relationships between nodes as rules. The triggering condition establishes a rule-topology mapping table, clearly defining the topology characteristics corresponding to each anti-misoperation verification rule, ensuring that the anti-misoperation verification rule that needs to be updated can be accurately located when the topology changes; when the power grid topology is reconstructed due to changes in equipment status (such as circuit breaker tripping, grounding wire connection) or physical connection adjustments (such as line reconnection), the dynamic update mechanism of the anti-misoperation verification rule is triggered, capturing topology change notifications (addition / deletion of edges) through event listeners, parsing the change content and locating the affected rule range, and regenerating anti-misoperation verification rules that conform to the new topology; if a new grounding wire node is added to the topology, the "operation interlocking rule of the branch equipment where the grounding wire is located" is automatically added.

[0027] If a device connection edge is deleted from the topology, the corresponding blocking conditions are removed synchronously. After the updated anti-misoperation verification rules are logically consistent (no conflicts, comprehensive coverage), they are stored in the rule base and marked as pending activation. After the anti-misoperation verification rules are updated, the digital twin platform pushes the new anti-misoperation verification rules to the anti-misoperation verification system, completing the closed-loop synchronization between the power grid topology and the anti-misoperation verification rules. The pushed content includes metadata such as rule ID, applicable topology range, blocking conditions, and effective time. After receiving the push, the anti-misoperation verification system confirms the necessity of the update through a version comparison mechanism (comparing rule hash values). If an update is required, the execution of the current anti-misoperation verification rule is frozen, the new anti-misoperation verification rule is loaded, and its compatibility with the existing topology is verified, i.e., whether all nodes involved in the anti-misoperation verification rule exist in the current topology. After verification, the new anti-misoperation verification rule officially takes effect, overriding the original anti-misoperation verification rule and immediately applied to subsequent operation verification. At the same time, the update log of the anti-misoperation verification rule is recorded to ensure the accuracy and traceability of the anti-misoperation verification. Furthermore, the process of constructing error-proof verification rules based on the five-proof logic is as follows: This paper clarifies the typical application scenarios and core prevention targets of anti-misoperation verification, identifies the types of misoperations that need to be prevented, and analyzes the core elements of the five-prevention logic: preventing the accidental opening and closing of circuit breakers, preventing the opening and closing of disconnecting switches under load, preventing the connection of grounding wires while the circuit is energized, preventing the closing of switches with grounding wires, and preventing accidental entry into energized compartments. Based on the power system operation specifications and safety standards, the paper defines the compliance status and restrictions of different power equipment under various operations, and transforms the five-prevention logic into specific rule requirements. Typical application scenarios include substation switching operations, distribution line maintenance, and grid connection of new energy power plants. Substation switching operations cover the opening and closing of circuit breakers / disconnecting switches, the installation and removal of grounding wires, and busbar switching. Distribution line maintenance covers line de-energization, voltage testing, grounding wire connection, and work permitting. Grid connection of new energy power plants covers inverter start-up and shutdown, collector line switching, and energy storage device charging and discharging.

[0028] The core prevention objectives include personal safety, equipment safety, and system stability. Personal safety is to prevent grounding wires from being connected to live circuits or accidentally entering live compartments. Equipment safety is to prevent damage to equipment caused by pulling disconnect switches under load or accidentally opening or closing circuit breakers. System stability is to prevent cascading failures caused by misoperation. The types of misoperation to be prevented include accidentally opening or closing circuit breakers, pulling disconnect switches under load, connecting grounding wires to live circuits, accidentally entering live compartments, and non-synchronous parallel operation. Accidentally opening or closing circuit breakers means accidentally opening a normal circuit breaker during a fault or accidentally closing a circuit breaker without protection.

[0029] Operating a disconnector under load (closing a line-side disconnector without the circuit breaker being tripped); connecting a grounding wire while energized (connecting a grounding wire without verification of energization or energizing without removing the grounding wire); entering a energized compartment without verifying the equipment number or failing to lock the access control for energized equipment; and paralleling out of sync (closing the loop without meeting synchronization conditions or adjusting the phase difference after disconnection). Based on the transformation rule requirements, anti-misoperation verification rules are constructed from multiple dimensions, including equipment status, operation sequence, and correlation. The triggering conditions, judgment criteria, and expected results of each anti-misoperation verification rule are clarified to ensure that the anti-misoperation verification rules can accurately identify misoperations. This transforms the requirements of the five-prevention logic into a computable logical expression, clarifying each... The logical relationships between conditions include AND, OR, and NOT. At the same time, the anti-misoperation verification rules are converted into computer-recognizable program code through encoding to ensure the accuracy and executability of the rules. This enables the system to automatically verify and judge operations based on the anti-misoperation verification rules. A simulated test environment is built to simulate various actual operation scenarios, and the constructed anti-misoperation verification rules are comprehensively tested to check whether the verification results of the anti-misoperation verification rules under different conditions meet expectations. Errors or unreasonable aspects in the anti-misoperation verification rules are identified and corrected. Based on the test feedback, the anti-misoperation verification rules are optimized and adjusted to enhance their adaptability and accuracy, forming a reliable and effective anti-misoperation verification rule system. The compliance status and limitations of the core elements of the five-prevention logic are as follows: (A) The compliance status of circuit breakers to prevent accidental opening and closing covers both permitted closing and permitted opening; Permitted to close: Both disconnect switches on both sides of the circuit breaker are closed, and there is no grounding wire or fault signal; Permitted to trip: The circuit breaker protection device is functioning normally, and the trip is not a manual emergency trip scenario; The restrictions are as follows: if the circuit breaker is a line-outlet circuit breaker, the status of the line-side disconnector and the grounding wire must be verified; if the circuit breaker is a transformer-side circuit breaker, the status of the transformer neutral point grounding must be verified. (B) The compliance status for preventing the disconnecting switch from being opened or closed under load covers both opening and closing of the disconnecting switch; Allow disconnecting the disconnector: when the corresponding circuit breaker is in the open position and the line-side voltage is below the safety threshold, and the no-load current is detected by the current transformer; Allowing the closing of disconnect switches: corresponding to the circuit breaker opening position. If it is a ring network operation, the allowable values ​​of voltage difference, frequency difference, and phase difference must be met, and the target side must be detected to have no voltage through a voltage transformer. The restrictions are as follows: The sequence for closing disconnect switches is: first close the busbar-side disconnect switch, then close the line-side disconnect switch (to prevent accidental closing of the line side when the busbar is energized); the sequence for disconnect switches is: first disconnect the line-side disconnect switch, then disconnect the busbar-side disconnect switch (to prevent busbar grounding short circuits). (C) The compliance status for preventing live grounding wires is that grounding wires are allowed; Grounding is permitted if: the target equipment (line / busbar / transformer) is de-energized, the circuit breakers on both sides of the target equipment are in the open position, the disconnect switches on both sides of the target equipment are in the open position, and the grounding terminal is reliably connected (grounding resistance <0.5Ω) after confirming no voltage by a contact voltage tester. The restriction is: if the equipment is already grounded, all closing operations (including circuit breakers, disconnectors, and load switches) are blocked. (D) Preventing closing the circuit with the grounding wire connected is a compliant condition for allowing closing the circuit; Allow closing: There is no record of grounding wire installation in the power system. If a grounding wire exists, it must be confirmed that its location is unrelated to the operating equipment. Before operating the circuit breaker / disconnector, confirm through topology analysis that there is no grounding path. The limiting condition is: the grounding wire status is monitored in real time via RFID tags or smart grounding stakes; if the grounding wire is detected to be not removed, the operation of closing the circuit is automatically locked. (E) The compliance status to prevent accidental entry into a live compartment is a condition for allowing entry; Entry conditions: The target bay equipment is de-energized, all circuit breakers / disconnect switches in the bay are in the correct position, the bay access control system verifies the operator's authorization, there are no toxic gases in the bay (such as SF6 leak detection), and there are no arc fault residues in the bay (detected by arc sensor). The restrictions are as follows: physical and logical interlocking including electromagnetic locks and position-forced interlocking; the compartment door is equipped with an electromagnetic lock, which is only unlocked after the equipment is de-energized and the grounding wire is installed; if the equipment status within the compartment does not meet the safety conditions, the access control system is forcibly locked, and the compartment's energized status is displayed in real time via electronic tags or LED screens. S5: Trigger multi-dimensional verification before switching operation, verify the consistency between grounding wire status, equipment status and operation task based on grounding wire digital twin data, and block operation commands for unauthorized operation tasks.

[0030] The system collects information on grounding wire status, equipment status, and operation tasks in real time before switching operations through IoT sensors, SCADA systems, and operation ticket platforms. It uses a timestamp alignment mechanism to eliminate data acquisition time differences and ensure the consistency of verification data in time and logic. Using the operation task as the trigger condition, it verifies the matching of grounding wire position with operation interval, and the compliance of equipment status with operation sequence. It also evaluates the impact of switching operations on power system stability through power flow calculation, marks high-risk operations and generates conflict reports. For operation tasks that fail verification, it executes a three-layer blocking mechanism of local interlocking, dispatching alarm and process freezing in sequence, suspends execution and triggers manual review, and uploads violation records to generate a digital ledger containing operation time, equipment, risk type and handling results. The specific work content is as follows: Before switching operations, the latest grounding wire status, equipment status, and operation task information are collected in real time through IoT sensors, SCADA systems, and operation ticket management platforms. Synchronization is performed using a timestamp alignment mechanism to eliminate inconsistencies caused by differences in data collection time, ensuring the consistency of all data involved in verification in terms of time and logic. Using operation task information as a trigger, a multi-dimensional verification engine is activated: verifying the matching of grounding wire status with the operation task, confirming whether the grounding wire installation location covers the target operation area through a digital twin of the grounding wire to avoid residual grounding wires in energized areas; verifying the compliance of equipment status and operation sequence, and verifying whether the circuit breaker / disconnector's open / closed position meets the "stop" requirement based on topology analysis. The standard procedure of "power-test-grounding" is followed; the impact of the operation on the stability of the power system is assessed, and power flow calculations are used to verify whether the switching will cause overload or islanding risks. During the verification process, if any inconsistent or illegal operation instructions are found, they are immediately marked as "high-risk operation" and a conflict report is generated. For operation tasks that fail the verification, a three-layer blocking mechanism is used to ensure the safety of the power system. The first layer is local blocking, which directly prohibits the relevant equipment control circuit from being energized; the second layer is dispatch terminal alarm, which pushes conflict details and correction suggestions to the operators; the third layer is process freeze, which suspends the execution of the current operation ticket and triggers the manual review process. At the same time, the illegal operation record is uploaded, and a digital ledger containing "operation time-equipment-risk type-handling result" is generated.

[0031] S6: During the switching operation, continuously monitor the grounding wire status and changes in the power grid topology, trigger the anti-misoperation verification in real time, and immediately lock and alarm to stop the operation sequence if an abnormality is detected. During the switching operation execution phase, IoT sensors and the SCADA system collect grounding wire status and power grid topology data in real time. Distributed edge computing nodes are used to preprocess the raw data, including outlier removal, timestamp alignment, and multi-source data fusion, to ensure the real-time and accuracy of status perception. Simultaneously, the power grid topology is dynamically updated based on a graph database, marking the spatiotemporal relationship between energized areas and grounding wire coverage. Driven by the operation task sequence, before each operation step, an embedded verification engine automatically triggers multi-dimensional anti-misoperation verification rule checks, including grounding wire status verification, topology connectivity verification, and electrical safety distance verification. The verification logic adopts the "negation equals blocking" principle; if any dimension fails to meet the safety conditions, it is judged as a high-risk operation. Specifically, grounding wire status verification verifies whether the currently operating equipment is within the grounding wire protection range or whether there is a risk of short circuit in energized areas due to the failure to remove the grounding wire; topology connectivity verification, based on electrical... After the network topology analysis operation, the power grid structure is ensured to prevent the formation of isolated subnets or accidental loops. Electrical safety distance verification is used to analyze the dynamic safety distance between devices using real-time voltage / current data to prevent arc flashovers during operation. When the embedded verification engine detects an anomaly, a three-level linkage mechanism is immediately executed, covering hardware-level interlocking, system-level alarms, and process-level freezes. After the handling is completed, the risk must be verified and confirmed to be eliminated before the control loop can be unlocked and the operation process can be resumed, ensuring that all anomalies are managed in a closed loop. Specifically, for hardware-level interlocking, the power supply to the control loop of the operating equipment is cut off via an intelligent terminal (IED), forcibly terminating the current action. For system-level alarms, conflict details (risk type, associated equipment, suggested measures) are pushed to the dispatch terminal, simultaneously triggering audible and visual alarms and SMS notifications to the responsible personnel. For process-level freezes, the current operation ticket is locked, prohibiting subsequent steps from being executed, and a digital traceability record containing timestamps, operation sequences, and risk data is generated.

[0032] Using the operation task as the trigger condition, the matching between the grounding wire position and the operation range is verified, an operation evaluation model is established, the basic parameters of the power system in the current switching operation are obtained, the evaluation index is obtained through the operation evaluation model based on the basic parameters, and it is determined whether to mark it as a risky operation based on the current evaluation index, and a conflict report is generated. An alarm signal to interrupt the operation is issued for the risky operation, the violation record is uploaded, and a digital ledger containing the operation time, equipment, risk type and handling result is generated.

[0033] In one exemplary embodiment of the present invention, establishing an operational evaluation model includes: The obtained power fundamental parameters are normalized:

[0034] Establish an operational evaluation model:

[0035] In the formula, For the i-th type and j-th normalized data, The maximum value among the i-th data types. Let be the minimum value among the i-th data types, and be the j-th original input data of the i-th type. As an evaluation index, The initial voltage of the power system. The current voltage of the power system. The initial current of the power system, The initial current of the power system, This represents the initial output power of the power system. This represents the current output power of the power system. The average voltage from the switching point to the current voltage. The average current from the switching point to the current. The number of time series. , and To calculate the weights, they can be set to 0.5, 0.2, or 0.3. Set a judgment threshold, when If the value exceeds the judgment threshold, an alarm signal is issued indicating that the current operation is a risky operation.

[0036] The threshold value can be set based on historical data. This indicates whether the power change is normal. The changes in current and voltage should be as close to 1 as possible. The latter two items record the fluctuations in voltage and current, respectively. During the switching process, the voltage and current fluctuate at the moment the switching is completed, and then should tend to stabilize. Therefore, the data that has not changed before can be discarded. Data collection should only begin after a large fluctuation in current and voltage is detected. Therefore, the judgment threshold can be set at around 1. In this scheme, it is set to 1.1.

[0037] S7: After completing the switching operation, write back the final state of the grounding wire, archive the data, and optimize the anti-misoperation verification rules and power grid topology to form a verification-execution-optimization closed loop.

[0038] After the switching operation is completed, the grounding wire status is automatically written back, updating the final status information of the grounding wire to the grounding wire digital twin. This ensures that the system record matches the actual on-site status. Simultaneously, all data generated during the switching operation, including operation time, equipment status changes, and grounding wire operation records, are archived and stored in a time-series database and a graph database. This ensures that all switching operations are traceable, forming a complete operation record loop. Based on the archived data and feedback information during the switching operation execution, an optimization process for anti-misoperation verification rules is initiated. The anti-misoperation verification rules triggered during the switching operation are evaluated, identifying rule vulnerabilities in actual operation. Based on the evaluation results, existing anti-misoperation verification rules are adjusted and optimized to improve their adaptability and accuracy. The optimized anti-misoperation verification... Verification rules are redeployed into the power system to ensure that subsequent operations can be verified based on more accurate rules, thereby further improving the safety and reliability of operations and forming a continuous improvement closed loop from execution to optimization. By utilizing the equipment status changes and grounding wire final status information in the archived data, the power grid topology is dynamically updated. Combined with real-time data, the connection status of the power grid and the logical relationships between devices are automatically adjusted. The updated power grid topology accurately reflects the actual operating status of the power grid and provides the latest topology information for subsequent switching operations. At the same time, based on the updated power grid topology, matching anti-misoperation verification rules are regenerated to ensure that the anti-misoperation verification system is always synchronized with the actual operating status of the power grid, realizing the dynamic linkage between the power grid topology and the anti-misoperation verification rules, and completing the closed-loop management of the entire verification-execution-optimization process.

[0039] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0040] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. This computer software product, stored in a storage medium, includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0041] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for real-time anti-misoperation verification of substation switching based on grounding wire status, characterized in that, include: Traverse the grounding wires in the power system, create a digital twin for each grounding wire, and synchronize its physical connection location, number, and status information to the anti-misoperation verification system in real time; The grounding wire digital twin data is integrated with multi-source heterogeneous power grid data, including power grid equipment ledgers, equipment status, and dispatch instructions, to form a data base; Based on the data and equipment status of the grounding wire digital twin in the data base, the power grid topology is reconstructed on the digital twin platform; Construct error prevention verification rules, associate error prevention verification rules with the reconstructed power grid topology, and cover grounding wire status verification; When a signal indicating that a switching operation is in progress is obtained, the grounding wire status and changes in the power grid topology are continuously monitored, and anti-misoperation verification is triggered in real time. After completing the switching operation, the final state of the grounding wire is written back, the data is archived, and the anti-misoperation verification rules and power grid topology are optimized.

2. The method for real-time anti-misoperation verification of substation switching based on the integrated grounding wire status as described in claim 1, characterized in that, The real-time synchronization of its physical attachment location, number, and status information to the anti-misoperation verification system includes: The entire station's grounding wires are scanned using IoT sensors to identify physical connection locations, unique identification numbers, and status information. A digital twin of the grounding wire is created in the anti-misoperation verification system and bound to IoT sensor data to map changes in physical status. Using 5G or fiber optic communication networks, the grounding wire data collected by IoT sensors is transmitted to the anti-misoperation verification system, where it is cleaned, verified, and standardized. After removing outliers, it is updated to the grounding wire digital twin. The key safety variables of the grounding wire digital twin are determined and embedded into the pre-operation verification logic of the anti-misoperation verification system.

3. The method for real-time anti-misoperation verification of substation switching based on the integrated grounding wire status as described in claim 2, characterized in that, The IoT sensor includes an RFID tag, a UWB positioning module, and a current transformer to identify the physical connection location, unique identification number, and status information of the grounding wire. The status information of the grounding wire includes connection, removal, and abnormality. The RFID tag is used to bind a unique identification number to the grounding wire, which is identified by scanning with an RFID reader. The UWB positioning module is used to locate the physical connection position of the grounding wire in real time. The current transformer is used to monitor the current change when the grounding wire is connected.

4. The method for real-time anti-misoperation verification of substation switching based on the integrated grounding wire status as described in claim 3, characterized in that, The fusion of multi-source heterogeneous data from the power grid includes: Based on the timestamp synchronization mechanism and sliding window algorithm, the grounding wire status change time and the equipment status measurement time are aligned, and an equipment-grounding wire association model is constructed to determine the logical coupling relationship between the grounding wire and the primary equipment; Outlier removal and redundant data completion are performed on the merged multi-source data. The processed data is then stored in a time-series database and a graph database to form a data base.

5. The method for real-time anti-misoperation verification of substation switching based on the integrated grounding wire status as described in claim 4, characterized in that, The reconstruction of the power grid topology on the digital twin platform includes: The grounding wire digital twin data and equipment status data are cleaned, and the grounding wire status and equipment status data are synchronized through a timestamp alignment mechanism. The logical association between equipment and grounding wire is established by utilizing the topological relationship of the power grid equipment ledger. Based on the preprocessed data, the power grid topology is dynamically reconstructed using the modeling tools of the digital twin platform. The equipment status and grounding wire digital twin data are analyzed, and the power grid connection status and logical relationships between equipment are updated in combination with the power grid topology. After the power grid topology is reconstructed, the reconstructed power grid topology is compared with the actual operating status of the power grid to verify the accuracy of equipment connections and grounding wire connection positions, and the verified power grid topology is synchronized to the anti-misoperation verification system.

6. The method for real-time anti-misoperation verification of substation switching based on the integrated grounding wire status as described in claim 5, characterized in that, The association of the error prevention verification rules with the reconstructed power grid topology includes: The power grid topology is stored in a graph database, and equipment nodes and grounding nodes are marked as rule association objects. The electrical connection relationships between nodes are defined as rule triggering conditions, and a rule-topology mapping table is established. When the power grid topology is reconstructed due to changes in device status or adjustments to physical connections, the topology change notifications of added or deleted edges are captured by the event listener. The change content is obtained and the affected rule range is located. Based on the change content, the error prevention verification rules that conform to the new topology are regenerated. After logical consistency verification, the rules are stored in the rule base and marked as pending effect. The updated error prevention verification rules are pushed from the digital twin platform to the error prevention verification system. The error prevention verification system uses a version comparison mechanism to determine whether to update. If so, the execution of the current error prevention verification rule is frozen, the new error prevention verification rule is loaded and its compatibility is verified. After the verification is successful, the new error prevention verification rule takes effect and is applied to subsequent operation verifications. At the same time, the update log is recorded. If not, no action is taken.

7. The method for real-time anti-misoperation verification of substation switching based on the integrated grounding wire status as described in claim 6, characterized in that, The rules for constructing anti-misoperation verification include: Obtain the triggering conditions for the anti-false verification and obtain the device status involved in the anti-false verification; Based on the current device status and triggering conditions, the system determines whether a misoperation has occurred and sends the result to the error prevention verification system.

8. The method for real-time anti-misoperation verification of substation switching based on the integrated grounding wire status as described in claim 7, characterized in that, When a signal indicating that a switching operation is in progress is obtained, continuous monitoring of the grounding wire status and changes in the power grid topology includes: The system collects the grounding wire status, equipment status and operation task information in real time before the switching operation through IoT sensors, SCADA system and operation ticket platform, and uses the timestamp alignment mechanism to eliminate the data collection time difference. Using the operation task as the trigger condition, the matching between the grounding wire position and the operation range is verified, an operation evaluation model is established, the basic parameters of the power system in the current switching operation are obtained, the evaluation index is obtained through the operation evaluation model based on the basic parameters, and it is determined whether to mark it as a risky operation based on the current evaluation index, and a conflict report is generated. An alarm signal to interrupt the operation is issued for the risky operation, the violation record is uploaded, and a digital ledger containing the operation time, equipment, risk type and handling result is generated.

9. A method for real-time anti-misoperation verification of substation switching based on the integrated grounding wire status as described in claim 8, characterized in that, Establishing the operational evaluation model includes: The obtained power fundamental parameters are normalized: Establish an operational evaluation model: In the formula, For the i-th type and j-th normalized data, The maximum value among the i-th data types. Let be the minimum value among the i-th data types, and be the j-th original input data of the i-th type. As an evaluation index, The initial voltage of the power system. The current voltage of the power system. The initial current of the power system, The initial current of the power system, This represents the initial output power of the power system. This represents the current output power of the power system. The average voltage from the switching point to the current voltage. The average current from the switching point to the current. The number of time series. , and To calculate the weights; Set a judgment threshold, when If the value exceeds the judgment threshold, an alarm signal is issued indicating that the current operation is a risky operation.

10. A method for real-time anti-misoperation verification of substation switching based on the integrated grounding wire status as described in claim 9, characterized in that, The process of writing back the final state of the grounding wire after completing the switching operation, archiving data, and optimizing anti-misoperation verification rules and power grid topology includes... After receiving the signal that the switching operation is completed, the grounding wire status is written back, the final status information of the grounding wire is updated to the grounding wire digital twin, and various data generated during the switching operation are archived and stored in the time series database and graph database. By utilizing the equipment status changes and grounding wire final status information in the archived data, the power grid topology is dynamically updated. Combined with real-time data, the connection status of the power grid and the logical relationships between devices are adjusted. Based on the updated power grid topology, the anti-misoperation verification rules are regenerated.

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