Anti-misoperation method and system suitable for novel power system

Abstract

The invention discloses an anti-misoperation method and system suitable for a novel power system. The anti-misoperation method comprises the steps of intelligent anti-misoperation terminal automatic forced locking, remote control forced locking and mechanical interlocking forced locking. Electrical misoperation is prevented mainly by monitoring the states of primary and secondary equipment of an electric power system in real time, establishing communication connection, setting forced locking and the like. Basic subsystems including Internet of Things anti-misoperation control, intelligent electronic two-ticket operation management and control, intelligent tool management, intelligent lock control, maintenance isolation locking, field operation management and control and the like are included, and the safety of power equipment and the operation normalization of personnel are ensured. And meanwhile, advanced systems such as digital twin error prevention, intelligent personnel management and control and a remote intelligent control subsystem are covered, and the monitoring efficiency and the emergency response capability are improved by utilizing technologies such as 5G and AI. Misoperation of the power system can be prevented, the efficiency and safety of switching, overhauling and operation and maintenance operation are improved, and safe and stable operation of the novel power system is ensured.

Description

Technical Field

[0001] The present invention belongs to the technical field of power system safety, and in particular relates to a method and system for preventing misoperation applicable to a new power system. Background Art

[0002] Against the backdrop of energy restructuring and global carbon reduction, the power system is undergoing a profound transformation characterized by the large-scale integration of new energy, intelligent dispatching, and the deep integration of distributed energy resources. The intermittent and volatile nature of renewable energy generation, the rapid dispatch requirements of energy storage systems, and the flexibility of distributed power sources are continuously expanding the operational boundaries of traditional power systems, leading to increasingly complex grid structures and operating modes. In this multi-source collaborative and dynamically changing power environment, traditional anti-malfunction measures that rely on manual management and single-logic protection are unable to meet the requirements of real-time performance, security, and global coordination. The risks of malfunctions are becoming increasingly diverse and systemic, posing a serious threat to the safe and stable operation of the power system.

[0003] The development of new power systems, with clean, low-carbon, safe, sufficient, economical, efficient, coordinated supply and demand, and flexible and intelligent features as core characteristics, sets higher standards for power system operational safety. The coupling between dispatching, power generation, transmission, transformation, distribution, consumption, and energy storage is becoming increasingly tight, with longer operation chains and more control nodes. Misoperation in any link can trigger a chain reaction, leading to widespread power outages, equipment damage, and even personal injury. At the same time, with the application of technologies such as the Internet of Things, big data, artificial intelligence, and 5G communications, the power system's reliance on operational monitoring, remote control, and intelligent decision-making has greatly increased, placing requirements on error prevention systems to adapt to distributed architectures, support high-speed communications, and intelligent collaboration. Existing error prevention mechanisms are mostly based on local monitoring or isolated equipment protection. They cannot fully integrate cross-link status information and decision-making logic, making it difficult to meet the multi-scenario, cross-regional, and comprehensive protection needs of new power systems.

[0004] To ensure the safety and reliability of the new power system, it is necessary to build a collaborative error prevention system covering the entire business chain from dispatching to energy storage. Through multi-level perception, intelligent analysis, and rapid linkage response, it is necessary to achieve global risk prevention and control of the complex power grid operating environment. This system must not only meet the requirements of relevant laws and standards of the power industry, but also have the ability to monitor equipment status, operating processes, and environmental risks in real time, and be able to intervene and isolate potential misoperations in a timely manner before they occur, minimizing the harm caused by misoperations to the system and personnel. Especially in the context of the continuous increase in the penetration rate of new energy and the expansion of grid flexibility resources, there is an urgent need to develop error prevention methods and systems that adapt to the characteristics of smart grids to improve the intelligence and automation level of protection, thereby supporting the safe, stable, and efficient operation of the power system. Summary of the Invention

[0005] In order to solve the above technical problems, the present invention provides a method and system for preventing misoperation applicable to new power systems. In strict accordance with the requirements of anti-misoperation and related standards, by building a collaborative prevention and control network, setting up independent but interrelated anti-misoperation modules, and constructing a new power system anti-misoperation logic, the risk management of misoperation in the entire business chain is realized, and misoperation accidents are prevented.

[0006] Specifically, the technical solutions provided by the present invention are as follows: A method for preventing misoperation applicable to a new power system, comprising: Build a data sharing platform: Use standard data interfaces and protocols to break down data barriers across various business links in the power system, enabling real-time synchronization of instructions, status, and information across all links. Use encrypted transmission and access rights to ensure data security and integrity. Use edge computing to pre-process data collected locally, reducing the pressure on data transmission and real-time computing. Establish a coordinated error prevention mechanism: The dispatching layer relies on the SCADA system, combining intelligent algorithms with an expert knowledge base, to monitor the entire process of issuing and executing system dispatch instructions. The field layer utilizes intelligent safety measures to achieve physical and logical isolation of the work area. The equipment layer deploys intelligent error prevention terminal devices, which use hardware locks and software logic to enforce control over operations that do not comply with error prevention rules. The equipment and field layers provide real-time feedback of abnormal situations to the dispatching layer, which then promptly adjusts instructions based on this feedback. Design interconnection interlocking rules: including load matching verification between dispatching instructions and power generation, logical interlocking between transmission line status and substation operation, and safety interlocking linkage between distribution network load data and power terminal operation; among them, load matching verification between dispatching instructions and power generation includes power balance verification and dynamic verification based on load forecast data; in the logical interlocking between transmission line status and substation operation, potential risks are predicted in advance by analyzing the line status; in the safety interlocking linkage between distribution network load data and power terminal operation, a load dynamic model is established to monitor load changes in real time.

[0007] Furthermore, it also includes a seven-link coordination mechanism, which includes: Dispatching and power generation: When the dispatching layer issues a power generation plan, it simultaneously triggers the energy storage system's charge and discharge anti-error verification: Based on real-time operating status and load forecast data, the energy storage charge and discharge power and time window are calculated. Before starting or stopping power generation equipment, the transmission line load rate and substation interval status must be verified. High-load lines are prioritized for adjusting power generation equipment output to avoid overload. Start and stop operations are prohibited in the event of an abnormality. Dispatching and power plant and substation linkage: Dispatching tickets and instructions are linked to the real-time status of corresponding power plant and substation equipment, and operational risks are assessed through simulations based on grid operation data. Dispatching instructions are verified, and if there is a risk of voltage exceeding the limit or power flow overload, the plan is automatically adjusted or the operation is prohibited. Substations provide real-time feedback on execution results and store evidence for traceability. Transmission and substation: Error prevention logic, including line ground wires, is set up at substations and stations, and linked to the operational logic of electrical equipment within the substations to prevent accidental climbing of towers, hanging of live ground wires, and power transmission with ground wires. Protection action signals automatically link with the substation's error prevention module and send regional warnings to prevent power transmission with faults. Fault data and intelligent algorithms are combined to quickly determine the nature and scope of the fault, supporting subsequent processing and power transmission decisions. Once the fault is eliminated, the blockage is automatically released and a power restoration notification is sent. The distribution system adjusts its operating mode to restore power in an orderly manner. Transmission line link: The transmission line protection action signal automatically links the anti-error module of the corresponding interval of the substation, and simultaneously sends a regional power outage warning to the distribution automation system to prevent power restoration during faults; Transformer and distribution links: Before executing a switching operation ticket, switch position and load data are verified to prevent incorrect operation. During verification, thermal stability limits and short-circuit current limits are considered to provide early warning of overload or excessive operation. Operators simulate operations in a virtual environment to identify and correct problems in advance. Power distribution and consumption: Based on the grid fault location results, various low-voltage circuit breakers are remotely controlled to automatically trigger remote power outages and lockouts in the faulty area. Mode switching instructions are also sent to the energy storage system to prevent the risk of asynchronous grid connection. Fault location utilizes multi-source data fusion technology, and remote power outages implement a hierarchical strategy, prioritizing non-critical loads to ensure power supply continuity for critical users. Power distribution and energy storage links: charging and discharging verification is triggered when the load exceeds the warning, the machine is quickly cut off and locked in case of faults, and the topology, switch position and phase sequence are verified during distribution network reconstruction to prevent incorrect grid connection; discharge verification formulates the optimal strategy based on load forecasting and status assessment, and mode switching is achieved through rapid protection devices in case of faults; during distribution network reconstruction, the power management unit is used to monitor topology changes, switch position and phase sequence in real time. If there is any inconsistency, grid connection is prohibited and an alarm is issued.

[0008] Preferably, the coordination mechanism of the seven links also includes interconnection of all links: using a unified time synchronization system and blockchain evidence storage technology to achieve millisecond-level traceability of operation records; triggering global error prevention strategy re-verification in the event of an abnormality, comprehensively checking instructions, equipment status and operation information, re-evaluating risks and adjusting strategies.

[0009] Furthermore, in the link between dispatching and power plants and substations, dispatching tickets and instructions need to undergo multiple verifications, including: equipment status closed-loop verification: extracting the ID and target status of the equipment to be operated, obtaining the actual position signal of the equipment through the SCADA system, and verifying the logical continuity of the target status and the current status; load rate safety verification: using the sensitivity analysis method to calculate the load changes of key sections after the operation; simulating whether the tripping of any interconnection line causes overload of other equipment; when the predicted output fluctuation rate of photovoltaic / wind power is greater than the set threshold, freezing the operation instructions involving the new energy collection station; personnel collaborative verification: the operator checks the equipment ID on site and confirms his identity by scanning the equipment QR code through the mobile operation APP; the guardian obtains the equipment operation history and risk warning information, and the key steps require fingerprint authentication.

[0010] Furthermore, the method also includes automatic forced locking of the terminal, remote control locking and mechanical interlock locking; Automatic forced locking of the terminal; when abnormal opening and closing status of the circuit breaker is detected or the operating power supply voltage is lower than the preset safety rated value, the intelligent anti-error terminal is triggered to force locking, and an early warning message is sent at the same time. The normal operation of the equipment is automatically restored after the fault is eliminated; Remote control locking: Establish a two-way encrypted channel. When the monitoring center detects an abnormal situation, it issues a remote locking command through the encrypted channel. Identity authentication, including dynamic password authentication and biometric authentication, must be completed before the locking command is executed. Mechanical interlocking: When the terminal locking device cannot be eliminated in time due to defects and the anti-error function cannot be restored temporarily, after the approval procedures are completed, the mechanical interlocking intelligent program unlocking device is used as a temporary locking measure, and the program key of the mechanical interlock is included in the unlocking tool management.

[0011] Preferably, the power system anti-error locking logic built into the 5G edge anti-error agent device is combined with the 5G smart mobile handheld terminal and the intelligent anti-error isolation locking device to realize the detection and locking functions of different valve states in the power system.

[0012] Preferably, the voltage and current of the charged body are collected through a micro-intelligent anti-error sensor and uploaded to the power system 5G private network and the comprehensive intelligent safety anti-error operation management and control system to realize the early warning and alarm function of attempted erroneous operation. When an attempted malicious erroneous operation occurs during system operation or simulation rehearsal, a red serious alarm pop-up window warning is issued, and all operations are stopped immediately, or the information is directly transmitted to the intelligent anti-error terminal for logical judgment.

[0013] Preferably, through the topology model library, electrical topology, big data processing and AI calculation, operation rule analysis and large model algorithm, it is possible to prevent misoperation accidents caused by difficulties in the management and representation of maintenance operation data and untimely dynamic error-prevention logic judgment of operations, and to analyze and identify the logical relationships, conflict checks and mutual interlocking of various types of work and operation tickets.

[0014] An anti-error operation system based on the above method includes the following modules: Data sharing platform: Based on standard data interfaces and protocols, it enables real-time synchronization of instructions, status, and information across multiple links, providing data support for scheduling, forecasting, and blocking decisions; Three-level linkage error prevention control module: used for coordinated protection at the dispatching, field, and equipment levels, performs logic verification and real-time risk deduction on the entire dispatch instruction process, and dynamically monitors the operating area and operator status to prevent accidental entry or accidental touch; Interconnection and Digital Twin Module: This module performs triple cross-verification of dispatch instructions, power generation plans, and equipment operations, dynamically calculates energy storage charging and discharging power and time windows, and ensures safe charging and discharging, as well as equipment startup and shutdown. It also constructs a digital twin of the equipment topology, deduces dispatch ticket operation paths, outputs a risk matrix, locates high-risk nodes, and adjusts operational strategies in real time. Transmission and substation linkage error prevention module: This module is used to establish multiple interlocking logic for line grounding operations, including live line interlocking, topology association verification, prevention of power transmission with the grounding wire, and prevention of accidental tower climbing. This module implements interlocking of circuit breakers, disconnectors, and grounding switches to avoid the risks of live grounding or power transmission. It also provides real-time feedback of protection action signals to substations and regional control centers, triggering power outage warnings and interlocking. Time synchronization and blockchain security traceability module: Utilizes Beidou timing and a multi-level time synchronization network to unify operational time scales with millisecond accuracy. Through a multi-chain blockchain architecture, encrypted on-chain storage of key operations is achieved to ensure that data cannot be tampered with and to quickly respond to global risks.

[0015] Furthermore, the system further comprises: Simulation rehearsal and intelligent dynamic analysis module: Based on digital twins and simulation engines, it performs high-frequency sampling simulation of power grid topology, transient processes, and dynamic power flows, supporting the rehearsal and verification of operation tickets; Terminal locking and emergency protection module: provides three modes: automatic forced locking, remote control locking and mechanical interlocking. When an abnormal equipment status is detected, the terminal triggers the intelligent anti-error terminal forced locking and reports an early warning; the monitoring center issues a remote locking command through an encrypted channel; when electronic protection is temporarily unavailable, the mechanical lock operation is enabled to ensure on-site safety.

[0016] The present invention can realize unified error prevention management across multiple links such as dispatching, power generation, transmission, transformation, distribution, power consumption and energy storage in the complex operating environment of the new power system, effectively overcoming the shortcomings of the existing technology such as the fragmentation of protection logic, isolation of status information and delayed response. By constructing a multi-level collaborative mechanism and full-business chain prevention and control logic, the present invention significantly improves the real-time perception and rapid intervention capabilities of potential misoperations, so that protective measures can play a role in the entire process before, during and after the operation, reducing the risks of mis-dispatching, mis-closing, mis-opening and closing of circuit breakers, etc. caused by human negligence or abnormal equipment status. Relying on new generation information technologies such as the Internet of Things, artificial intelligence, big data and 5G, the present invention realizes dynamic monitoring and intelligent analysis of equipment status, operating environment and instruction execution process, so that error prevention decision-making is transformed from traditional static logic verification to predictive and proactive control based on global information, greatly improving monitoring efficiency, response speed and decision-making accuracy.

[0017] By organically combining advanced means such as digital twins, intelligent terminal locking, remote control, and multi-sensor fusion, the present invention establishes multiple redundant protection barriers at the equipment and system levels, which not only realizes mandatory locking and abnormal linkage at the equipment level, but also can automatically verify operation tickets, topology changes, and cross-link data, thereby effectively avoiding chain failures and safety hazards caused by the volatility of new energy, dynamic loads, and operational complexity. The implementation of the present invention significantly improves the operational safety and efficiency of power operators, reduces the risk of power outages, equipment damage, and personal injury caused by misoperation, further reduces operation and maintenance costs, and meets the urgent needs of new power systems and smart grids for high reliability, intelligence, and automated operation, ensuring that the power system can achieve long-term safe, stable, and efficient operation under the trend of energy transformation and intelligent development. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention.

[0019] Figure 1 This is a schematic diagram of a technical framework for preventing misoperation applicable to a new power system provided by an embodiment of the present invention; Figure 2 This is a schematic diagram of the relationship between a large power grid, a distribution network, and a microgrid provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0020] To make the purpose, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, other embodiments obtained by ordinary technicians in this field without making creative efforts are all within the scope of protection of the present invention.

[0021] Example 1 This embodiment provides a method for preventing misoperation applicable to a new type of power system, such as Figure 1 As shown in the figure, this method is aimed at all business links such as dispatching, power generation, transmission, transformation, distribution, power consumption and energy storage. Relying on multi-source data fusion, intelligent algorithms, digital twin simulation and other technologies, it builds a collaborative system consisting of a business link layer, an anti-error technology layer, a subsystem support layer and a technical base layer to achieve real-time perception, intelligent analysis and rapid intervention of misoperation risks.

[0022] Specifically, the anti-misoperation method mainly includes: (1) Building a data sharing platform Establish a cross-segment data sharing platform, using IEC 61970 / 61968 standard interfaces to break down information barriers across business processes and achieve real-time synchronization of instructions, status, and information. Strengthen data transmission security, using encrypted transmission and access rights to ensure data security and integrity. Introduce edge computing technology for preliminary processing at the data acquisition end, reducing transmission and real-time computing pressure, improving efficiency, ensuring millisecond-level delivery of critical information, and providing timely and accurate data support to prevent misoperations.

[0023] (2) Establish a linkage error prevention mechanism The dispatching layer relies on a supervisory control and data acquisition (SCADA) system, combining intelligent algorithms with an expert knowledge base, to scientifically issue dispatching instructions and monitor their execution throughout the entire process. When issuing instructions, it strictly adheres to anti-error operation requirements, such as preventing the accidental opening and closing of circuit breakers, and implements logical checks to prevent incorrect instructions from being issued. The field layer utilizes intelligent safety measures, such as electronic fencing and smart access control, to achieve physical and logical isolation of work areas, preventing personnel from accidentally entering energized areas or accidentally touching equipment. The equipment layer deploys intelligent anti-error terminal devices, employing both hardware locks and software logic for dual protection. These devices enforce control over operations that violate anti-error rules, ensuring safe equipment operation. Furthermore, a two-way communication mechanism is established between all levels, allowing the equipment and field layers to provide real-time feedback to the dispatching layer on abnormal conditions. The dispatching layer then adjusts instructions based on this feedback, creating a closed-loop control system.

[0024] Integration of intelligent algorithms and expert knowledge bases: These systems convert standards such as the "Electric Power Safety Work Regulations" into machine-executable error prevention rules. Natural language processing (NLP) technology is used to translate natural language into logical lockout conditions (e.g., "Operation prohibited on maintenance equipment" automatically triggers equipment lockout). The expert knowledge base integrates typical fault cases and handling experience, and RAG technology is used to achieve semantic matching and conflict detection of historical operation tickets. Reinforcement learning (e.g., the PPO algorithm) is used to simulate the chain reaction of operation chains, predicting risks such as overvoltage and protection malfunction. The simulated results are compared with real-time SCADA data to generate lockout instructions. The EMTP-RV simulation engine is used to verify transient process safety, with an error limit of ±5%.

[0025] (3) Design interconnection blocking rules Design interconnection interlocking rules between the dispatching side and power plants and substations (including converter stations), covering load matching verification between dispatching instructions and power generation, logical interlocking between transmission line status and substation operations, and safety interlocking linkage between distribution network load data and user terminal operations. Regarding load matching verification between dispatching instructions and power generation, in addition to conventional power balance verification, the volatility and intermittency of renewable energy generation must also be considered, and dynamic verification combined with forecast data must be performed. At the same time, according to relevant standards, ensure that the start and stop operations of power generation equipment strictly verify the transmission line load factor requirements and the circuit breaker performance requirements of the substation bay status to avoid power accidents caused by improper operation.

[0026] To logically interlock transmission line status and substation operations, a machine learning algorithm is introduced to conduct in-depth analysis of line conditions, proactively identify potential risks, optimize interlock logic, and prevent illegal operations such as opening and closing disconnect switches under load. A dynamic load model is established to link distribution network load data with safety interlocks for user terminal operations, enabling real-time monitoring of load changes. When the load approaches a critical value, non-essential user terminal operations are automatically restricted, ensuring safe and stable operation of the distribution system and preventing situations such as connecting or closing grounding wires (grounding switches) or transmitting power while the grounding wire (grounding switch) is energized.

[0027] The new power system's anti-misoperation method also includes seven major coordination mechanisms: In the power generation (including virtual power plants) sector, when the dispatch center issues a power generation plan through the AGC (Automatic Generation Control) system, it simultaneously triggers a charge and discharge verification check to prevent mismatches in the energy storage system. Based on real-time operating status and load forecast data, a large-scale model algorithm calculates the energy storage charge and discharge power and time windows to ensure operational safety. The start and stop of power generation equipment requires verification of the transmission line load factor and substation interval status. Power generation equipment output is prioritized on lines with high load factors to avoid overloads. Start and stop operations are prohibited in the event of an anomaly to prevent escalation of the fault and meet safety regulations.

[0028] Dispatching links with power plants and substations (including converter stations): Dispatching tickets and instructions contain the real-time status (circuit breaker / disconnector position, health, etc.) of switches, circuit breakers, grounding wires, and other equipment at the corresponding power plants and substations (including converter stations). Operational risks are assessed through simulations based on grid operation data. Dispatching instructions undergo a triple check (equipment status, load factor, and personnel). If risks such as voltage exceeding limits or current overload are identified, the plan is automatically adjusted or the operation is prohibited. Substations provide real-time feedback on execution results, with evidence and traceability. The dispatch layer updates the grid model, ensuring that the entire process adheres to anti-error operation requirements.

[0029] Transmission and Substation (Power Plant, Converter Station) Link: Misuse-protection logic, including line grounding, is implemented in the substation (power plant, converter station) protection module. This logic is linked to the operational logic of electrical equipment within the substation to prevent accidental climbing of towers, live grounding, and power transmission with the grounding wire. Protection action signals automatically trigger the substation's misuse-protection module and issue regional power outage warnings to prevent power transmission during faults. A redundant design ensures interlock reliability. Fault data and intelligent algorithms are combined to quickly determine the nature and scope of the fault, supporting subsequent processing and power transmission decisions. Once the fault is resolved, the interlock is automatically released and a power restoration notification is issued. The distribution system then adjusts its operating mode to restore power in an orderly manner.

[0030] Transmission line link: Transmission line protection action signals (such as differential protection tripping, etc.) automatically link the anti-error modules of the corresponding bays in the substation, and simultaneously send regional power outage warnings to the distribution automation system to prevent power restoration during faults; In the substation and distribution sector, before executing a switching operation ticket, a comprehensive intelligent error prevention system verifies switch positions and load data to prevent incorrect operations. The system integrates real-time data to create a three-dimensional model that displays equipment status. During verification, it considers thermal stability limits and short-circuit current limits, providing early warning of overload or excessive operation. The system supports simulated rehearsals, allowing operators to simulate operations in a virtual environment to identify and correct problems in advance. This prevents erroneous operations such as attaching a live ground wire (closing a grounding switch), preventing power transmission with a live ground wire (grounding switch), and preventing inadvertent closing of the distribution network.

[0031] Power distribution and consumption: Based on the fault location results of the main power grid, various low-voltage circuit breakers are remotely controlled to automatically trigger remote power outages and lockouts in the faulted area. A mode switching command is also sent to the energy storage system to prevent the risk of asynchronous grid connection. Fault location utilizes multi-source data fusion technology to improve accuracy and timeliness. Remote power outages implement a tiered strategy, prioritizing non-critical loads to ensure power continuity for critical users. Upon receiving the command, the energy storage system completes mode switching and lockouts in milliseconds, preventing grid shock. The entire process complies with safety standards and error prevention requirements, preventing accidental power outages in the power consumption sector, resulting in casualties, fires, and other accidents.

[0032] like Figure 2As shown in the figure, the large power grid includes power stations such as hydropower units (stations), wind power units (stations), photovoltaic units (power stations), thermal power units (stations), etc., as well as substations (transformers), converter stations, transmission networks and distribution networks; the distribution network, as a component of the large power grid, includes distributed energy storage (power stations), distribution network energy management systems, distributed photovoltaic (power stations), distributed wind (power stations), controllable generators and microgrid groups; the microgrid group, as a part of the distribution network, includes transformers, cloud control systems and a variety of microgrids represented by park microgrids and household microgrids.

[0033] In the power distribution and energy storage sector, charge and discharge verification is triggered when a load exceeds a warning. In the event of a fault, the generator is rapidly disconnected and locked. During distribution network reconstruction, topology, switch position, and phase sequence are verified to prevent accidental grid connection. Discharge verification is based on load forecasting and status assessment to develop an optimal strategy that balances load relief and system safety. In the event of a fault, fast protection devices implement mode switching to meet stability requirements. During distribution network reconstruction, the PMU (power management unit) monitors topology changes, switch position, and phase sequence in real time. If any discrepancies are found, grid connection is prohibited and an alarm is issued, prompting operations and maintenance personnel to address the issue. Operations adhere to electrical error prevention requirements and standards to ensure coordinated and safe operation and prevent accidents such as personal injury, fire, and other accidents in the energy storage sector.

[0034] Full interconnection: Utilizing a unified time synchronization system and blockchain evidence storage technology, millisecond-level traceability of operation records is achieved, and anomalies trigger global error prevention strategy re-verification. The unified time synchronization system uses Beidou satellite timing technology to control time errors to the millisecond level, providing a precise traceability benchmark. Blockchain evidence storage technology encrypts and stores operation records, ensuring immutability and traceability. Anomalies automatically trigger global error prevention re-verification, comprehensively reviewing instructions, equipment status, and operational information, reassessing risks, and adjusting strategies to ensure the safe and stable operation of the new power system.

[0035] Triple verification of dispatching instructions related to power plants and substations, including: 1) Closed-loop verification of equipment status Automatically extract the ID and target status of the device to be operated (e.g., "Change KV301 switch from operation to maintenance"), obtain the actual position signal of the device through the SCADA system, and verify the logical continuity between the target status and the current status (e.g., the circuit breaker must be opened before the disconnector is opened).

[0036] 2) Load rate safety check The sensitivity analysis method is used to calculate the load changes of key sections after the operation; it is simulated whether the tripping of any interconnection line will cause overload of other equipment; when the predicted output fluctuation rate of photovoltaic / wind power is greater than 15%, the operation instructions involving the new energy collection station are frozen.

[0037] 3) Personnel collaborative verification The operator verifies the dual name of the equipment on site (such as "110KV Ximu PT 3217 knife switch") and confirms his identity by scanning the equipment QR code through the mobile operation app; the guardian uses AR glasses to overlay the equipment operation history and risk warning information, and fingerprint authentication is required for key steps.

[0038] Anti-misoperation methods include terminal automatic forced locking, remote control locking and mechanical lock.

[0039] Automatic terminal forced lockout: By integrating multiple sensors and employing triple-redundant decision logic (device status, operating conditions, and process compliance), the system triggers a forced lockout within one second and simultaneously issues an early warning message when it detects abnormal circuit breaker opening and closing conditions or when the operating power supply voltage falls below a preset safety rating. In some embodiments, after the lockout is complete and a real-time lockout signal is transmitted to the integrated intelligent fault prevention host and edge intelligent fault prevention agent, the abnormal condition is immediately diagnosed and relevant information is provided. Once the fault is resolved, normal operation of the device is automatically restored.

[0040] Remote Locking: Establishes a two-way encrypted communication channel (supporting IEC 62531 security protocols), allowing the monitoring center to issue remote locking commands. Remote control response time is ≤150ms, and dual identity authentication (dynamic password + biometrics) is required before the locking command is executed. In some embodiments, after the locking operation is completed, the locking status is reported to the higher-level system, and the operation record is saved for subsequent query and audit.

[0041] Mechanical lock: When the terminal locking device cannot be eliminated in time due to defects and the anti-error function cannot be temporarily restored, after completing the approval procedures, a mechanical lock will be added as a temporary locking measure, and the smart key of the mechanical lock will also be included in the unlocking tool (key) management.

[0042] The new power system error prevention method is based on a new power system error prevention operation system. The new power system error prevention operation system adopts comprehensive intelligent error prevention technology. The comprehensive intelligent error prevention technology is a new generation of error prevention operation system suitable for smart power plants, including the following necessary basic subsystems: Necessary basic subsystems include the Internet of Things anti-error control subsystem, the intelligent electronic two-ticket operation control subsystem, the intelligent maintenance isolation and locking subsystem, the on-site operation control (including online monitoring of electrical equipment) subsystem, the intelligent lock control management subsystem, the intelligent ground wire and tool digital management subsystem, etc.

[0043] The IoT error prevention control subsystem, built on the power IoT communication technology, is designed to prevent electrical errors in high-voltage electrical equipment and its ancillary devices. The system primarily consists of key components such as the error prevention host, the power IoT platform, communication devices, simulation terminals, and IoT intelligent error prevention terminals.

[0044] The intelligent electronic two-ticket operation and control subsystem includes modules covering intelligent electrical error prevention technology, a two-ticket management system, intelligent tool management (including ground wire management), professional interface integration, and supporting software and hardware equipment for the development of an electrical digital twin system. The intelligent maintenance isolation and lockout subsystem, utilizing a maintenance isolation mobile handheld terminal and a dedicated lock authorization control system, enables centralized management of maintenance isolation operations and strict enforcement of safety measures, thus achieving intelligent locking. The use of isolation locks and their associated accessories enables on-site mandatory isolation and lockout, as well as intelligent control of cross-operations, ensuring reliable execution of safety measures and work permits during maintenance operations. It also features real-time online maintenance error prevention. Once power workers select equipment and scopes on the intelligent maintenance isolation and lockout subsystem, the system automatically initiates maintenance switching operations.

[0045] The on-site operation control (including online monitoring of electrical equipment) subsystem mainly uses the fifth-generation mobile communication technology (5G) network, combined with wireless network transmission and streaming media technology to improve the application efficiency of monitoring technology in the field of power supply security. By deploying a 5G network dedicated to power plants, the network security performance of the mobile communication system is significantly enhanced, thereby effectively realizing real-time monitoring of the operation site.

[0046] The intelligent lock control management subsystem consists of a personal computer, a transmission / charging adapter, the "Power Safety Intelligent Lock Control System" management software, smart keys, and various intelligent mechanical locks. The management software pre-maps the power plant's internal areas and the distribution of controlled locks. Operators can use an optimized interactive graphical interface to conveniently manage user management, user operations (including unlocking designated areas and one-click authorized unlocking), and operation record management.

[0047] The intelligent ground wire and tool digital management subsystem, applying IoT technology to the power industry, enables intelligent management of tools, files, and other items. The system integrates multiple functions, including item and personnel ledger management and permission management. Using technologies such as color ring positioning, infrared recognition, and biometric data collectors, the system provides accurate identity verification and supports multiple authentication methods to ensure secure item collection. Furthermore, the system records item usage, monitors usage status in real time, automatically calculates test cycles, and issues timely maintenance reminders.

[0048] In some embodiments, the following advanced systems are also included: digital twin anti-error (visual anti-error operation and simulation) subsystem, intelligent access control subsystem, and remote intelligent control subsystem.

[0049] The digital twin error prevention (visualized error prevention and simulation) subsystem applies digital twin technology to power plant equipment monitoring and process control. This technology uses sensors to collect real-time data, combined with data center analysis and processing, to achieve deep technological integration and precise digital mapping of environmental objects. This technology, combined with 5G, the Internet of Things, artificial intelligence, and organizational management measures, has built an error prevention system designed to ensure the safety and stability of power production. The digital twin error prevention subsystem enables simulated operations, simulation training, and switching operations within the user interface. The intelligent access control subsystem, an access control security system based on facial recognition technology, utilizes computer image processing techniques and biometrics to capture and identify individual facial features to control access. The intelligent access control subsystem can be linked with IoT anti-error software on hyper-converged servers to execute switching operations, enabling authorized access to key areas such as booster stations and distribution rooms.

[0050] The remote intelligent control subsystem, leveraging artificial intelligence and the Internet of Things (IoT), significantly enhances the substation's intelligent inspection capabilities. By applying AI visual deep learning algorithms, it enables real-time monitoring of equipment status and the environment, as well as personnel safety assessment and operational monitoring. This research employed cameras that are independent of power and network support, and utilized "VideoX" technology to transmit real-time video streams. This effectively addresses the challenge of manual inspections in environments without power or network connectivity, thereby improving inspection efficiency.

[0051] In some embodiments, by linking the IoT anti-error control subsystem with 5G and other dedicated networks in various links of the power system, intelligent dynamic analysis of anti-error logic risks during invoicing can be achieved in a simulated rehearsal manner, thereby achieving business integration between the IoT anti-error control subsystem and the intelligent electronic two-ticket operation and management subsystem, forming a closed-loop control of the business.

[0052] In some embodiments, by establishing an intelligent anti-misjudgment model of "electrical principles + management rules" and rapid topology analysis technology, a system for preventing electrical misoperations is developed to intelligently analyze and control the safety of the switching operations of the entire power system. During the simulation rehearsal stage and the on-site operation stage, the safety of each switching operation is monitored and analyzed online in real time, and all types of misoperation behaviors are blocked in a timely manner.

[0053] In some embodiments, through advanced components such as 5G edge anti-error agent devices, with their built-in power system anti-error locking logic, combined with 5G smart mobile handheld terminals and intelligent anti-error isolation and locking devices, the detection and locking functions of different valve states in the power system can be realized.

[0054] In some embodiments, through micro-intelligent anti-error sensors, analog quantities such as voltage and current of charged bodies are collected and uploaded to the power system 5G private network and the comprehensive intelligent safety anti-error operation management and control system, which can realize the early warning and alarm function of attempted erroneous operation. When an attempted malicious erroneous operation occurs during system operation or simulation rehearsal, the system will issue a red serious alarm pop-up warning, immediately stop all operations, or directly transmit it to the intelligent anti-error terminal for logical judgment to achieve the purpose of early warning and alarm.

[0055] In some embodiments, through methods such as topology model library, electrical topology diagram, big data processing and AI calculation, operation rule analysis and large model algorithm, it is possible to prevent misoperation accidents caused by difficulties in the management and representation of maintenance operation data, untimely dynamic error prevention logic judgment of operations, etc., and to analyze and identify the logical relationship between various types of work and operation tickets, conflict detection, and mutual locking.

[0056] In summary, the anti-misoperation method provided by the present invention realizes comprehensive anti-misoperation of all links of the power system through the combination of multiple locking methods and comprehensive intelligent anti-misoperation technology. It has high safety, reliability and practicality, and adapts to the development needs of new power systems and smart grids. The new anti-misoperation method for power systems based on comprehensive intelligent anti-misoperation technology uses 5G, AI and other technologies to improve monitoring efficiency and emergency response capabilities. It can effectively prevent misoperation in all links of the power system, improve the safety and work efficiency of power workers' switching, maintenance, operation and maintenance operations, reduce operation and maintenance costs, adapt to the development needs of new power systems and smart grids, and ensure the safe and stable operation of the power system.

[0057] Example 2 Based on the above method, this embodiment provides an anti-error operation system suitable for new power systems. Through multi-level perception, intelligent analysis and closed-loop control, it can achieve predictive prevention and control of network-wide erroneous operations and full-process intervention. The system mainly includes the following core modules: (1) Data sharing platform Based on the IEC 61970 / 61968 standard interface, this module enables real-time synchronization of instructions, status, and information across various processes, breaking down data silos between business processes. Edge computing is used to pre-process multi-source data, including historical load, real-time electrical quantities, and meteorological data, at the collection end, reducing pressure on central nodes and enabling millisecond-level transmission. Encrypted transmission and access rights management ensure data integrity and security, providing unified data support for scheduling, forecasting, and blocking decisions.

[0058] (2) Three-level linkage anti-error control module This module covers the coordinated protection of the dispatching layer, the field layer, and the equipment layer. The dispatching layer integrates the SCADA extension function, combines the NLP rule engine, the expert knowledge base, and the reinforcement learning algorithm, performs logical verification and real-time risk deduction on the entire process of dispatching instructions, generates automatic locking instructions, and achieves a response of ≤15ms through GOOSE messages. The field layer deploys electronic fences, smart access control, and UWB positioning technology to dynamically monitor the working area and the status of the workers to prevent accidental entry or accidental touch. The equipment layer integrates a multi-sensor fusion detection terminal to perform real-time judgment on abnormal circuit breaker status and insufficient power supply voltage, and triggers the intelligent anti-error terminal to force locking. After the abnormality is eliminated, the equipment operation is automatically restored.

[0059] (3) Interconnected locking and digital twin modules This module performs triple cross-verification on dispatch instructions, power generation plans, and equipment operations: it dynamically calculates the energy storage charging and discharging power and time windows through prediction models such as LSTM and SVR to ensure the safety of charging and discharging and equipment start and shutdown; it builds a digital twin of the equipment topology, integrating circuit breaker / disconnector position signals, grounding wire status, and equipment health. It uses the RTDS platform to perform minute-level deductions on the dispatch ticket operation path, outputs a risk matrix, locates high-risk nodes, and adjusts operation strategies in real time.

[0060] (4) Transmission and transformation linkage error prevention module This module establishes multiple interlocking logic for line grounding operations, including live line interlocking, topology correlation verification, protection against power transmission with the ground wire attached, and prevention of accidental tower climbing. Through RFID identification, hard contact interlocking, and mechanical interlocking, it interlocks circuit breakers, disconnectors, and grounding switches, preventing the risk of live grounding or power transmission. Protection action signals are fed back to substations and regional control centers in real time, triggering power outage warnings and interlocking.

[0061] (5) Fault location and energy storage linkage control module This module integrates electrical quantities, switching quantities, traveling waves, environmental, and equipment status data, achieving spatiotemporal alignment through rubidium atomic clocks and Beidou / GPS synchronization. It then employs a CNN+LSTM deep fusion algorithm to precisely locate the faulty section. Based on the location results, the system automatically remotely controls the low-voltage circuit breaker to shut down the faulty area and simultaneously issues a mode switch command to the energy storage system to prevent asynchronous grid connection. In the event of overload or network reconfiguration, the particle swarm optimization algorithm dynamically adjusts the energy storage output and switch combinations to ensure system safety and cost-effectiveness.

[0062] (6) Time synchronization and blockchain security traceability module This module utilizes BeiDou / GPS dual-mode timing, IEEE1588 PTP protocol, and a multi-level time synchronization network to unify operational time scale accuracy to the millisecond level. Through a multi-chain blockchain architecture, encrypted on-chain storage of key operations is achieved, and smart contracts automatically execute abnormal strategy re-verification, supporting cross-system linkage and judicial traceability to ensure that data cannot be tampered with and quickly respond to global risks.

[0063] (7) Simulation rehearsal and intelligent dynamic analysis module Based on millimeter-level precision 3D digital twins and the EMTP-RV simulation engine, this module performs high-frequency sampling simulation of grid topology, transient processes, and dynamic power flows, supporting the rehearsal and verification of operation tickets. Federated learning and spiking neural networks (SNNs) are used to assess risk scores for real-time measurement data, broadcasting blocking instructions within 15ms when an anomaly is triggered. The system supports triple authentication (facial recognition, device QR code, and electronic ticket verification) for intelligent dynamic risk prevention and control.

[0064] (8) Terminal locking and emergency protection module The module provides three modes: automatic forced locking, remote control locking and mechanical interlocking. When an abnormal equipment status is detected, the terminal triggers the intelligent anti-error terminal to force locking and report an early warning. The monitoring center can issue remote locking instructions through an encrypted channel. When electronic protection is temporarily unavailable, mechanical locking is enabled after approval to ensure on-site safety.

[0065] The above-mentioned system can execute the anti-misoperation method applicable to the new power system described in Example 1, and has the corresponding functional modules and beneficial effects of the method. For technical details not described in detail in this embodiment, please refer to the anti-misoperation method applicable to the new power system provided in Example 1 of the present invention.

[0066] Through the description of the above embodiments, those skilled in the art will clearly understand that each embodiment can be implemented using software plus a general hardware platform, or of course, hardware. Based on this understanding, the essence of the above technical solution, or the portion that contributes to the relevant technology, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, or an optical disk, and includes a number of instructions for causing a computer device (such as a personal computer, server, or network device) to execute the methods described in each embodiment or certain portions of the embodiments.

[0067] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Under the idea of ​​the present invention, the technical features in the above embodiments or different embodiments can also be combined, the steps can be implemented in any order, and there are many other variations of different aspects of the present invention as described above. For the sake of simplicity, they are not provided in detail. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in this field should understand that they can still modify the technical solutions described in the above embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of this application.

Claims

1. A method for preventing misoperation of a new power system, characterized in that: include: Build a data sharing platform: Use standard data interfaces and protocols to break down data barriers across various business links in the power system, enabling real-time synchronization of instructions, status, and information across all links; use encrypted transmission and access rights to ensure data security and integrity; Through edge computing, data from the collection end is pre-processed locally, reducing the pressure of data transmission and real-time computing; Establish a coordinated error prevention mechanism: The dispatching layer relies on the SCADA system, combining intelligent algorithms with an expert knowledge base, to monitor the entire process of issuing and executing system dispatch instructions. The field layer utilizes intelligent safety measures to achieve physical and logical isolation of the work area. The equipment layer deploys intelligent error prevention terminal devices, which use hardware locks and software logic to enforce control over operations that do not comply with error prevention rules. The equipment and field layers provide real-time feedback of abnormal situations to the dispatching layer, which then promptly adjusts instructions based on this feedback. Design interconnection interlocking rules: including load matching verification between dispatching instructions and power generation, logical interlocking between transmission line status and substation operation, and safety interlocking linkage between distribution network load data and power terminal operation; among them, load matching verification between dispatching instructions and power generation includes power balance verification and dynamic verification based on load forecast data; in the logical interlocking between transmission line status and substation operation, potential risks are predicted in advance by analyzing the line status; in the safety interlocking linkage between distribution network load data and power terminal operation, a load dynamic model is established to monitor load changes in real time.

2. The method for preventing misoperation according to claim 1, wherein: It also includes seven major coordination mechanisms, which include: Dispatching and power generation: When the dispatching layer issues a power generation plan, it simultaneously triggers the energy storage system's charge and discharge anti-error verification: Based on real-time operating status and load forecast data, the energy storage charge and discharge power and time window are calculated. Before starting or stopping power generation equipment, the transmission line load rate and substation interval status must be verified. High-load lines are prioritized for adjusting power generation equipment output to avoid overload. Start and stop operations are prohibited in the event of an abnormality. Dispatching and power plant and substation linkage: Dispatching tickets and instructions are linked to the real-time status of corresponding power plant and substation equipment, and operational risks are assessed through simulations based on grid operation data. Dispatching instructions are verified, and if there is a risk of voltage exceeding the limit or power flow overload, the plan is automatically adjusted or the operation is prohibited. Substations provide real-time feedback on execution results and store evidence for traceability. Transmission and substation: Error prevention logic, including line ground wires, is set up at substations and stations, and linked to the operational logic of electrical equipment within the substations to prevent accidental climbing of towers, hanging of live ground wires, and power transmission with ground wires. Protection action signals automatically link with the substation's error prevention module and send regional warnings to prevent power transmission with faults. Fault data and intelligent algorithms are combined to quickly determine the nature and scope of the fault, supporting subsequent processing and power transmission decisions. Once the fault is eliminated, the blockage is automatically released and a power restoration notification is sent. The distribution system adjusts its operating mode to restore power in an orderly manner. Transmission line link: The transmission line protection action signal automatically links the anti-error module of the corresponding interval of the substation, and simultaneously sends a regional power outage warning to the distribution automation system to prevent power restoration during faults; Transformer and distribution links: Before executing a switching operation ticket, switch position and load data are verified to prevent incorrect operation. During verification, thermal stability limits and short-circuit current limits are considered to provide early warning of overload or excessive operation. Operators simulate operations in a virtual environment to identify and correct problems in advance. Power distribution and consumption: Based on the grid fault location results, various low-voltage circuit breakers are remotely controlled to automatically trigger remote power outages and lockouts in the faulty area. Mode switching instructions are also sent to the energy storage system to prevent the risk of asynchronous grid connection. Fault location utilizes multi-source data fusion technology, and remote power outages implement a hierarchical strategy, prioritizing non-critical loads to ensure power supply continuity for critical users. Power distribution and energy storage links: charging and discharging verification is triggered when the load exceeds the warning, the machine is quickly cut off and locked in case of faults, and the topology, switch position and phase sequence are verified during distribution network reconstruction to prevent incorrect grid connection; discharge verification formulates the optimal strategy based on load forecasting and status assessment, and mode switching is achieved through rapid protection devices in case of faults; during distribution network reconstruction, the power management unit is used to monitor topology changes, switch position and phase sequence in real time. If there is any inconsistency, grid connection is prohibited and an alarm is issued.

3. The method for preventing misoperation according to claim 2, wherein: The coordination mechanism of the seven links also includes the interconnection of all links: using a unified time synchronization system and blockchain evidence storage technology to achieve millisecond-level traceability of operation records; triggering global error prevention strategy re-verification in the event of an abnormality, comprehensively checking instructions, equipment status and operation information, re-evaluating risks and adjusting strategies.

4. The method for preventing misoperation according to claim 2, wherein: In the link between dispatching and power plants and substations, dispatching tickets and instructions need to undergo multiple verifications, including: equipment status closed-loop verification: extracting the ID and target status of the equipment to be operated, obtaining the actual position signal of the equipment through the SCADA system, and verifying the logical continuity of the target status and the current status; load rate safety verification: using the sensitivity analysis method to calculate the load changes of key sections after the operation; simulating whether the tripping of any interconnection line causes overload of other equipment; when the predicted output fluctuation rate of photovoltaic / wind power is greater than the set threshold, freezing the operation instructions involving the new energy collection station; personnel collaborative verification: the operator checks the equipment ID on site and confirms his identity by scanning the equipment QR code through the mobile operation APP; the guardian obtains the equipment operation history and risk warning information, and the key steps require fingerprint authentication.

5. The method for preventing misoperation according to claim 1, wherein: The method also includes automatic forced locking of the terminal, remote control locking and mechanical interlock locking; Automatic forced locking of the terminal; when abnormal opening and closing status of the circuit breaker is detected or the operating power supply voltage is lower than the preset safety rated value, the intelligent anti-error terminal is triggered to force locking, and an early warning message is sent at the same time. The normal operation of the equipment is automatically restored after the fault is eliminated; Remote control locking: Establish a two-way encrypted channel. When the monitoring center detects an abnormal situation, it issues a remote locking command through the encrypted channel. Identity authentication, including dynamic password authentication and biometric authentication, must be completed before the locking command is executed. Mechanical interlocking: When the terminal locking device cannot be eliminated in time due to defects and the anti-error function cannot be restored temporarily, after the approval procedures are completed, the mechanical interlocking intelligent program unlocking device is used as a temporary locking measure, and the program key of the mechanical interlock is included in the unlocking tool management.

6. The method for preventing misoperation according to claim 1, wherein: Through the built-in power system anti-error locking logic of the 5G edge anti-error agent device, combined with the 5G smart mobile handheld terminal and the intelligent anti-error isolation locking device, the detection and locking functions of different valve states in the power system can be realized.

7. The method for preventing misoperation according to claim 1, wherein: Through micro-intelligent anti-error sensors, the voltage and current of live parts are collected and uploaded to the power system's 5G private network and the comprehensive intelligent safety anti-error operation management and control system, realizing the early warning and alarm function of attempted erroneous operation. When an attempted malicious erroneous operation occurs during system operation or simulation rehearsal, a red serious alarm pop-up warning will be issued, and all operations will be stopped immediately, or the information will be directly transmitted to the intelligent anti-error terminal for logical judgment.

8. The method for preventing misoperation according to claim 1, wherein: Through the topology model library, electrical topology diagram, big data processing and AI calculation, operation rule analysis and large model algorithm, it is possible to prevent misoperation accidents caused by difficulties in the management and representation of maintenance operation data and untimely logical judgment of dynamic operation error prevention, and to analyze and identify the logical relationship, conflict detection and mutual locking of various types of work and operation tickets.

9. An anti-misoperation system based on the method according to any one of claims 1 to 8, characterized in that: include: Data sharing platform: Based on standard data interfaces and protocols, it enables real-time synchronization of instructions, status, and information across multiple links, providing data support for scheduling, forecasting, and blocking decisions; Three-level linkage error prevention control module: used for coordinated protection at the dispatching, field, and equipment levels, performs logic verification and real-time risk deduction on the entire dispatch instruction process, and dynamically monitors the operating area and operator status to prevent accidental entry or accidental touch; Interconnection and Digital Twin Module: This module performs triple cross-verification of dispatch instructions, power generation plans, and equipment operations, dynamically calculates energy storage charging and discharging power and time windows, and ensures safe charging and discharging, as well as equipment startup and shutdown. It also constructs a digital twin of the equipment topology, deduces dispatch ticket operation paths, outputs a risk matrix, locates high-risk nodes, and adjusts operational strategies in real time. Transmission and substation linkage error prevention module: This module is used to establish multiple interlocking logic for line grounding operations, including live line interlocking, topology association verification, prevention of power transmission with the grounding wire, and prevention of accidental tower climbing. This module implements interlocking of circuit breakers, disconnectors, and grounding switches to avoid the risks of live grounding or power transmission. It also provides real-time feedback of protection action signals to substations and regional control centers, triggering power outage warnings and interlocking. Time synchronization and blockchain security traceability module: Utilizes Beidou timing and a multi-level time synchronization network to unify operational time scales with millisecond accuracy. Through a multi-chain blockchain architecture, encrypted on-chain storage of key operations is achieved to ensure that data cannot be tampered with and to quickly respond to global risks.

10. The anti-misoperation system according to claim 9, characterized in that: The system further comprises: Simulation rehearsal and intelligent dynamic analysis module: Based on digital twins and simulation engines, it performs high-frequency sampling simulation of power grid topology, transient processes, and dynamic power flows, supporting the rehearsal and verification of operation tickets; Terminal locking and emergency protection module: provides three modes: automatic forced locking, remote control locking and mechanical interlocking. When an abnormal equipment status is detected, the terminal triggers the intelligent anti-error terminal forced locking and reports an early warning; the monitoring center issues a remote locking command through an encrypted channel; when electronic protection is temporarily unavailable, the mechanical lock operation is enabled to ensure on-site safety.

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