Integrated sequential control operation execution method and device for power station centralized control system

Abstract

The invention discloses an integrated sequential control operation execution method and device for a power station centralized control system, which can automatically generate a complete sequential control operation process after receiving a comprehensive operation instruction or an electronic operation ticket issued by an operator, and perform judgment, control logic carding and operation step issuing in combination with the current state of equipment. And multi-unit cooperative control and sequential closed-loop execution are realized. According to the method, an operation logic template, equipment state detection, a manual verification process and a system safety interlocking mechanism are fully fused, the automation level of centralized control of the power station is improved, meanwhile, correctness and safety of operation are guaranteed, and the method has good engineering application value.

Description

Technical Field

[0001] This invention relates to the field of sequential control technology for power plant centralized control systems, and in particular to an integrated sequential control operation execution method and apparatus for power plant centralized control systems. Background Technology

[0002] As power systems continue to develop towards large-scale, centralized, and intelligent operation, remote centralized control of power plants has gradually replaced traditional local operation methods. As the core platform for unified monitoring, dispatching, and control of power plants, centralized control systems have been widely used in numerous hydropower stations, wind farms, and photovoltaic power plants. Operations operators can remotely issue start / stop commands, monitor equipment status, and handle faults through the centralized control system, significantly improving the safety and management efficiency of power plant operation.

[0003] In existing technologies, centralized control systems typically possess the following functions: First, after operators issue start-up or shutdown commands, the system can complete process control such as guide vane opening and closing, main valve operation, switch opening and closing, and active power output adjustment according to pre-set logic, replacing traditional step-by-step manual operation; Second, after the power grid side proposes a request for adjustment of the plant's active power or voltage, the system can use AGC (Automatic Generation Control) and AVC (Automatic Voltage Control) functional modules to link each unit to allocate and adjust the setpoints for active and reactive power, achieving unified and coordinated control of the plant's power and voltage; Third, it realizes visualization functions such as graphical monitoring, trend analysis, and alarm recording.

[0004] However, several prominent problems remain in practical applications, particularly in switching operations and sequential control. When performing switching operations such as circuit breaker opening and closing, main transformer switching, and busbar switching, existing systems typically require operators to manually create electronic operation tickets according to operating procedures and then issue commands one by one into the system. This method demands a high level of experience and judgment from operators, is cumbersome, and carries safety risks such as missed steps, incorrect sequences, or violations of interlocking conditions, severely hindering the widespread adoption of centralized control systems in high-reliability scenarios. Furthermore, existing systems lack the ability to automatically generate switching sequential control logic based on electronic operation tickets, and cannot dynamically construct a sequential control chain that conforms to the procedures based on analysis of operational objectives, equipment status, and interlocking conditions. In addition, AGC / AVC regulation functions usually exist as independent modules and have not yet formed logical linkages with integrated sequential control operations, making it difficult to achieve truly automated response and control coordination throughout the entire process. Summary of the Invention

[0005] To address the above challenges, this invention proposes an integrated sequential control operation execution method for centralized control systems. Using electronic operation tickets drafted by operators as input, and combining the system topology and operating procedures, it automatically generates a sequential control logic flow, which is then safely executed after manual review. This achieves unified generation, automatic verification, and highly reliable execution of control commands, promoting the development of power plant centralized control systems towards a higher level of intelligence.

[0006] Another objective of this invention is to provide an integrated sequential control operation execution device for power plant centralized control systems.

[0007] To achieve the above objectives, a first aspect of the present invention proposes an integrated sequential control operation execution method for a power plant centralized control system, comprising: S1 receives electronic operation tickets issued by operators, parses the operation content, extracts the target equipment, execution actions, expected status and operation timing constraints, and generates a structured operation input data model. S2, based on the structured operation input data model and the power plant primary system topology, call the preset control template library and match the operation procedure to dynamically generate a sequential control logic chain that includes the order of operation steps, control objects, execution conditions and feedback verification; S3, using a rule engine to perform multi-level interlocking verification on the sequential control logic chain, including relay protection interlocking conditions, electrical interlocking conflict detection and scheduling authority consistency judgment, and forming an executable control script after manual review and confirmation; S4. Send control commands to the target device in the order of the control script, collect the device feedback status in real time and compare it with the expected status, and automatically advance the subsequent steps or trigger the abnormal handling mechanism based on the comparison result to complete the closed-loop control execution.

[0008] In one embodiment of the present invention, S1 further includes: S11 uses natural language processing technology to segment and semantically analyze the unstructured text in the electronic operation ticket, and combines it with the knowledge graph of the power field to extract the equipment topology relationship and operation constraints. S12 constructs a structured data model containing device identifiers, operation types, status parameters, and timestamps using XML / JSON format, supporting standardized input for multi-unit collaborative operation.

[0009] In one embodiment of the present invention, S2 further includes: S21. Based on the Petri net model, state transition analysis is performed on the operation path. By matching typical operation scenarios in the preset control template library, a closed-loop control flowchart containing intermediate state verification nodes is generated.

[0010] In one embodiment of the present invention, S4 further includes: S41 employs a state feedback-driven control strategy, which compares the difference between the actual feedback state and the desired state. ,when Exceeding the preset threshold An alarm interruption mechanism is triggered when the alarm is triggered.

[0011] In one embodiment of the present invention, it further includes: S5 calls the AGC / AVC regulation function module to dynamically allocate the setpoints of each unit and adjust the control parameters according to the active / reactive power regulation requirements in the sequential control process; S6 feeds back the AGC / AVC adjustment results to the sequential control logic chain, which serves as the execution condition for subsequent operation steps and is verified in real time, forming a closed-loop control system of adjustment-sequential control linkage.

[0012] To achieve the above objectives, a second aspect of the present invention provides an integrated sequential control operation execution device for a power plant centralized control system, comprising: The operation ticket parsing module is used to receive electronic operation tickets issued by operators, parse the operation content, extract the target equipment, execution action, expected status and operation timing constraints, and generate a structured operation input data model containing equipment identifiers, operation types, status parameters and timestamps. The sequential control logic generation module is used to dynamically generate a sequential control logic chain that includes the order of operation steps, control objects, execution conditions, and feedback verification, based on the structured operation input data model and the power plant primary system topology, by calling a preset control template library and matching the operation procedure. The interlocking verification module is used to perform multi-level interlocking verification on the sequential control logic chain using a rule engine, including relay protection interlocking conditions, electrical interlocking conflict detection and scheduling authority consistency judgment, and forms an executable control script after manual review and confirmation. The closed-loop control execution module is used to send control commands to the target device in the order of the control script, collect the device feedback status in real time and compare it with the expected status, and automatically advance subsequent steps or trigger an exception handling mechanism based on the comparison result to complete the closed-loop control execution.

[0013] The integrated sequential control operation execution method and apparatus for power plant centralized control systems of this invention can realize the automatic generation and closed-loop execution of sequential control logic driven by electronic operation tickets, improve the operation efficiency and safety of power plant centralized control systems, and significantly reduce the risk of manual intervention and operation errors. Attached Figure Description

[0014] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1A flowchart of an integrated sequential control operation execution method for a power plant centralized control system provided in this embodiment of the invention; Figure 2 This invention provides a structural diagram of an integrated sequential control operation execution system for a power plant centralized control system. Figure 3 This invention provides a technical roadmap for an integrated sequential control operation execution method for a power plant centralized control system. Figure 4 This is a structural diagram of an integrated sequential control operation execution device for a power plant centralized control system, provided as an embodiment of the present invention. Detailed Implementation

[0015] It should be noted that, unless otherwise specified, the embodiments and features described in the present invention can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0016] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0017] The following description, with reference to the accompanying drawings, describes an integrated sequential control operation execution method and apparatus for a power plant centralized control system, according to an embodiment of the present invention.

[0018] This embodiment provides an integrated sequential control operation execution method for power plant centralized control systems. For example... Figure 1 As shown, the method includes the following steps: S1 receives electronic operation tickets issued by operators, parses the operation content, extracts the target equipment, execution actions, expected status and operation timing constraints, and generates a structured operation input data model.

[0019] Specifically, in some implementations, receiving electronic operation tickets issued by operators, parsing the operation content, extracting the target equipment, execution actions, expected states, and operation sequence constraints, and generating a structured operation input data model are key preliminary steps in the integrated sequential control operation execution method of this invention. This step is implemented through a comprehensive operation instruction receiving and recognition module, the core of which lies in transforming unstructured natural language operation tickets into a standardized data model that can be recognized and processed by the system, providing an accurate and complete input foundation for the subsequent automatic generation of sequential control logic.

[0020] This module first receives electronic operation tickets input by operators through the centralized control system interface. Operation tickets typically exist in text or graphical form format, including equipment name, operation action (such as "close", "open", "setup adjustment"), target status (such as "closed", "open", "setup value X MW"), and operation timing constraints (such as "close QF1 first, then QF2"). The system employs Natural Language Processing (NLP) and semantic parsing technologies, combined with a predefined equipment dictionary and operation action mapping table, to perform word segmentation, entity recognition, and relation extraction on the operation ticket content. For example, it matches equipment identifiers (such as `QF\d+`, `TV\d+`, etc.) using regular expressions and utilizes context analysis to determine their operation actions and target status.

[0021] The system supports multiple operation ticket formats, including but not limited to structured data formats such as `XML`, `JSON`, and `CSV`, as well as `MMS` messages based on the `IEC 61850` standard. During parsing, the system verifies the completeness of the operation ticket, such as whether the equipment number conforms to the naming conventions in `DL / T 516-2006` "Operation Management Regulations for Relay Protection and Safety Automatic Devices in Power Systems", whether the operation action is in the preset action set `{closing, opening, engaging, disengaging, adjusting, blocking}`, and whether the target state meets the standard descriptions such as `{closing, opening, engaging, disengaging, setpoint X}`. Furthermore, the system supports modeling operation sequence constraints, such as logical relationships like `AND`, `OR`, and `DELAY`, ensuring that the order of operation steps conforms to the power plant operation regulations.

[0022] This step is widely used in scenarios such as power plant switching operations, unit start-up and shutdown, and main transformer switching. For example, in a busbar switching operation, the operator submits an electronic operation ticket containing operations of multiple circuit breakers and disconnectors through the centralized control system. The system automatically identifies the key equipment in the operation path and its state transition requirements, and constructs an operation input model that conforms to the "Q / GDW 11357-2019" "Specification for Compiling Switching Operation Tickets for Hydropower Stations", providing an accurate basis for the subsequent sequential control logic generation.

[0023] This step enables automatic identification and structured modeling of operation ticket content, effectively reducing the error rate of manual data entry and improving the standardization and efficiency of the operation process. By extracting target equipment, execution actions, expected states, and operation sequence constraints, the system can ensure the integrity and security of subsequent sequential control logic, laying a solid foundation for the intelligent and automated operation of the power plant centralized control system.

[0024] Furthermore, S1 includes: S11 uses natural language processing technology to segment and semantically analyze the unstructured text in the electronic operation ticket, and combines it with the knowledge graph of the power field to extract the equipment topology relationship and operation constraints.

[0025] Specifically, in some implementations, this invention employs Natural Language Processing (NLP) technology to segment and semantically analyze the unstructured text in electronic operation tickets, and combines this with a knowledge graph in the power sector to extract equipment topology relationships and operational constraints. This step is the core input to the sequential control logic automatic generation module, and its technical implementation is based on a semantic modeling and knowledge reasoning mechanism of power system operation language.

[0026] The system first performs Chinese word segmentation on the electronic operation ticket text. It employs a joint model based on Bidirectional Long Short-Term Memory (BiLSTM) and Conditional Random Field (CRF) to identify and label key entities in the operation ticket, such as equipment names, operation actions (e.g., "closing" and "opening"), and status descriptions (e.g., "engaging" and "exiting"). The word segmentation granularity is controlled at the word level (e.g., "circuit breaker," "main transformer," and "busbar"), and entity disambiguation is performed using a power industry terminology dictionary to ensure an accuracy rate of no less than 95%. Subsequently, the system uses dependency parsing and semantic role labeling (SRL) techniques to parse the logical relationship between operation actions and equipment, constructing a structured representation of the operation intent.

[0027] The system matches the parsed operational intent with a knowledge graph in the power sector. This knowledge graph contains structured information such as equipment type, electrical connection relationships, operational constraint rules (e.g., "disconnect before closing," "close before starting"), and interlocking conditions (e.g., "circuit breaker not storing energy prohibits closing"). Through graph matching algorithms and a rule-based reasoning engine, the system can automatically identify the equipment topology in the operational path and extract the temporal dependencies and logical constraints between operational steps. For example, if the operation ticket includes "close the high-voltage side circuit breaker of main transformer No. 1," the system will automatically retrieve the electrical connection nodes of that circuit breaker in the knowledge graph and determine whether it is in an interlocked state or whether other preconditions need to be met.

[0028] The system supports multi-dimensional modeling of the equipment status involved in the operation ticket, including parameters such as the current equipment status (ON / OFF), target state, priority level, and delay time. The delay time parameter can be preset according to the equipment type and operation type. For example, the delay time for circuit breaker opening and closing operations is typically set between 500ms and 2s, and the specific value can be configured according to the equipment response time defined in the IEC 61850 standard.

[0029] This procedure is widely used in complex control scenarios such as switching operations, main transformer switching, and busbar switching in power plant centralized control systems. After operators submit electronic operation tickets in the system, the system can automatically identify the operation intent and construct sequential control logic that conforms to the procedures, reducing manual intervention and improving operational efficiency and safety.

[0030] By integrating natural language processing and knowledge graphs, the system achieves efficient conversion from unstructured text to structured control logic, providing an accurate and complete data foundation for the automatic generation and execution of subsequent sequential control processes, and significantly improving the intelligence level and operational reliability of the power plant centralized control system.

[0031] S12 constructs a structured data model containing device identifiers, operation types, status parameters, and timestamps using XML / JSON format, supporting standardized input for multi-unit collaborative operation.

[0032] Specifically, this step aims to transform unstructured operation requests (such as electronic operation tickets, start / stop instructions, etc.) entered by operators in the centralized control system into standardized data structures that can be automatically recognized and processed by the system, thereby providing a reliable data foundation for the automatic generation of subsequent sequential control logic.

[0033] This step first extracts key fields by parsing the user-input XML or JSON document, including unique device identifiers (such as circuit breaker number, main transformer number, etc.), operation types (such as "closing", "opening", "setup adjustment", etc.), target status (such as "closed", "open", "setup value is X MW", etc.), and operation timestamps (used to record the operation initiation time and expected execution time). During parsing, the system uses a DOM-based or SAX-based parser, combined with a predefined schema or JSON schema, to perform format validation, ensuring the integrity and consistency of the input data. For example, device identifiers must conform to the device naming rules defined in the IEC 61850 standard, operation types must match the preset control dictionary, status parameters must be within the preset enumeration range, and timestamps must follow the ISO 8601 time format (such as `2024-04-05T14:30:00Z`).

[0034] The structured data model must meet the following technical requirements: the device identifier field must be no longer than 64 characters; the operation type field must be a preset enumeration value (e.g., `CLOSE`, `OPEN`, `SET`, `RESET`); the status parameter field must support mixed input of numeric (e.g., `float`, `int`) and string (e.g., `ON`, `OFF`); and the timestamp field must support millisecond-level precision. Furthermore, the system supports scenarios involving collaborative operation of multiple units; therefore, the model must include a unit identifier field (e.g., `unit_id`) and support parallel and serial logic descriptions for multi-device operations.

[0035] This step is widely used in power plant centralized control systems for scenarios involving the coordinated control of multiple generating units, such as plant-wide active power adjustment, bus switching, and main transformer switching. After operators input operation commands through a graphical interface or electronic operation ticket system, the system automatically converts them into a structured data model, facilitating logical matching and execution scheduling by subsequent modules. For example, in a single bus switching operation, the system can simultaneously handle the opening and closing operations of multiple circuit breakers and coordinate the execution sequence of each step through a timestamp field, ensuring that the operation complies with electrical interlocking and safety regulations.

[0036] This step standardizes and structures operational instructions, effectively improving the system's ability to analyze and process complex operational procedures. Through a unified data model, the system can quickly identify operational targets, determine operational types, and match control templates, thereby significantly reducing the need for manual intervention and improving the automation level and execution reliability of sequential control processes. Furthermore, this model provides data support for subsequent interlocking verification and closed-loop control, serving as a crucial prerequisite for achieving integrated sequential control operation execution.

[0037] S2, based on the structured operation input data model and the power plant primary system topology, calls the preset control template library and matches the operation procedures to dynamically generate a sequential control logic chain that includes the order of operation steps, controlled objects, execution conditions and feedback verification.

[0038] Specifically, in some implementations, based on the structured operation input data model and the power plant primary system topology, a pre-set control template library is invoked and matched with the operating procedures to dynamically generate a sequential control logic chain containing the order of operation steps, controlled objects, execution conditions, and feedback verification. This is the core function of the automatic sequential control logic generation module of this invention. This step achieves automated construction of complex operation processes by integrating operation target identification, system topology analysis, and intelligent matching with pre-set control templates.

[0039] The system first invokes the topology analysis module to dynamically acquire the current primary system's wiring status and equipment operating status information, including the real-time location and electrical connection relationships of key equipment such as circuit breakers, disconnectors, main transformers, and busbars. Subsequently, the system matches the operational targets in the structured operation input model (such as "circuit breaker QF1 closing" and "main transformer T1 switching to the standby winding") with a preset control template library. The template library contains control logic structures for various typical operational scenarios, such as "busbar switching operation template," "unit shutdown template," and "main transformer switching template." Each template defines key parameters such as operation type, equipment sequence, execution conditions, feedback verification mechanism, and delay settings. The matching process is based on a rule engine, using semantic recognition and state constraint matching algorithms to achieve logical classification and process mapping of operational targets.

[0040] The system needs to consider multiple constraints during the matching process, including equipment status consistency (e.g., whether the circuit breaker is in the open state), electrical interlocking conditions (e.g., whether the busbar is energized), and relay protection status (e.g., whether it is in the tripped interlocking state). The generation of operation steps must meet time sequence constraints; for example, the closing operation of the disconnecting switch must be completed before the circuit breaker closes, and a maximum waiting time can be set between each operation step. This is to ensure the real-time performance and reliability of the system response.

[0041] This step is widely used in scenarios such as power plant switching operations, unit start-up and shutdown, and main transformer switching. For example, when performing a bus switching operation, the system can automatically identify equipment such as circuit breakers, disconnect switches, and grounding switches in the bus switching path, and generate a sequential control chain that conforms to safety logic according to the operating procedures, ensuring that the operation sequence complies with the requirements of standards such as the "Safety Operating Procedures for Power Systems" (DL / T 587-2019).

[0042] This step transforms the process from manually creating operation tickets to automatically building sequential control logic, significantly improving the efficiency and accuracy of operation process generation, reducing the risk of human error, and enhancing the system's adaptability to complex operation scenarios, thus laying a solid foundation for subsequent manual review and closed-loop execution.

[0043] Furthermore, S2 includes: S21. Based on the Petri net model, state transition analysis is performed on the operation path. By matching typical operation scenarios in the preset control template library, a closed-loop control flowchart containing intermediate state verification nodes is generated.

[0044] Specifically, in some implementations, state transition analysis of the operation path based on the Petri net model is a key logical construction step in the integrated sequential control operation execution method of this invention. This step achieves dynamic modeling and state evolution analysis of the operation process by abstracting the operation sequence in the electronic operation ticket into the transition and place structure of the Petri net. Specifically, the system first maps the equipment state changes involved in the operation ticket to places in the Petri net, and the operation actions (such as circuit breaker closing, main valve opening, etc.) correspond to transitions. By defining the token flow rules, the state transition process of each device in the operation path is simulated.

[0045] In the Petri net model, each storage unit corresponds to a device state variable, whose state value can be represented as a Boolean (e.g., 0 for locked state, 1 for unlocked state) or a multi-valued state (e.g., circuit breaker state can be "open", "closed", or "abnormal"). The triggering conditions for transitions must satisfy the number of tokens and logical constraints in its input storage unit. For example, triggering a circuit breaker closing operation requires preconditions such as "circuit breaker is in open state", "no protection lockout signal", and "bus voltage is within allowable range". The system uses a pre-set control template library to model typical operating scenarios (such as main transformer switching, bus switching, unit start-up and shutdown) as standardized Petri net structures, facilitating rapid matching and invocation.

[0046] The system employs dynamic topology identification technology, combining the power plant's primary wiring diagram with real-time equipment status to construct the initial state of the Petri net model. Subsequently, state transition analysis algorithms (such as Breadth-First Search (BFS) or Depth-First Search (DFS)) traverse all possible operation paths, identifying key intermediate state verification nodes (such as circuit breaker position confirmation and protection device state reset), and using these as critical control points in the closed-loop control flowchart. Each step in the flowchart includes execution conditions, target state, feedback verification mechanism, and timeout handling strategy to ensure the executability and safety of the operation process.

[0047] This step is primarily used in practical applications for scenarios such as switching operations, unit start-up and shutdown, and parameter adjustment. For example, when performing a main transformer switching operation, the system analyzes the state transition paths of equipment such as circuit breakers, disconnectors, and busbars using a Petri net model to ensure that the operation sequence conforms to electrical interlocking logic and scheduling procedures. By generating a closed-loop control flowchart, the system can achieve real-time monitoring and anomaly response of the operation process, significantly improving the automation level and operational reliability of the power plant centralized control system.

[0048] Furthermore, this technical solution, through Petri net modeling and state transition analysis, enables the visualization and verifiability of operational logic, providing a structured basis for subsequent manual review and interlocking verification. It is an important foundation for realizing closed-loop control throughout the entire process and collaborative operation of multiple units.

[0049] S3. The rule engine is used to perform multi-level interlocking verification on the sequential control logic chain, including relay protection interlocking conditions, electrical interlocking conflict detection and scheduling authority consistency judgment, and an executable control script is formed after manual review and confirmation.

[0050] Specifically, in the manual review and interlock verification module, using a rule engine to perform multi-level interlock verification on the sequential control logic chain is a crucial step in ensuring the security and compliance of the sequential control process. This step, through an integrated rule engine system, performs item-by-item logical verification on the automatically generated sequential control process, covering core aspects such as relay protection interlocking conditions, electrical interlocking conflict detection, and scheduling authority consistency judgment, thereby building a security barrier before execution.

[0051] Based on preset power plant operation procedures, equipment interlocking logic, and scheduling permission configurations, the rule engine employs an event-driven matching mechanism to perform conditional judgments on each step of the sequential control process. For example, before executing a circuit breaker closing operation, the system will check whether it is in the open state, whether there are protection interlocking signals (such as differential protection action, overcurrent interlocking, etc.), and whether electrical interlocking conditions such as bus voltage level and grounding status are met. If any condition is not met, the rule engine will mark the step as "unexecutable" and prompt the operator to intervene.

[0052] The validation logic of the rule engine is typically implemented using Boolean expressions or state machines. Its judgment criteria include device status codes (e.g., `0x01` indicates "open," `0x02` indicates "closed"), protection signal status (e.g., `P_{\mathrm{trip}}= 1` indicates protection action triggered), and scheduling permission identifiers (e.g., `A_{\mathrm{auth}} = 1` indicates operation permission is granted). The response time for interlock validation should be controlled within 500ms to meet the latency requirements of the real-time control system.

[0053] This step is typically implemented in the central control unit of the power plant's centralized control system. Operators view the sequential control flowchart through a graphical interface and manually confirm or correct any anomalies detected by the system. For example, during a busbar switching operation, if the system detects that the busbar grounding switch is not open, it will automatically pause the process and display the message "Grounding switch not open, busbar disconnect switch cannot be closed." Operators can choose to skip this step or insert a waiting condition.

[0054] The technical advantage of this step lies in its multi-level interlocking verification mechanism, which effectively prevents erroneous operations caused by logical errors or abnormal states, thereby improving the reliability and security of the sequential control process. Simultaneously, combined with a manual review process, it ensures that the system maintains operational compliance and controllability even under complex operating conditions, providing a solid guarantee for the intelligent operation of the power plant's centralized control system.

[0055] S4. Send control commands to the target device in the order of the control script, collect the device feedback status in real time and compare it with the expected status, and automatically advance the subsequent steps or trigger the abnormal handling mechanism based on the comparison result to complete the closed-loop control execution.

[0056] Specifically, in the sequential control execution and real-time monitoring module, the system sends control commands to the target device according to the automatically generated control script sequence, realizing closed-loop control execution. This step is the core execution link in the entire integrated sequential control operation method, and its technical implementation is based on hierarchical control logic and a real-time status feedback mechanism to ensure high reliability and security of the operation process.

[0057] The system first parses the control script generated by the sequential control logic module into an executable sequence of instructions. Each instruction includes the target device identifier, operation type (such as closing, opening, setpoint adjustment, etc.), desired state, and execution conditions. Control instructions are sent to the target device via the SCADA system or PLC control interface, and execution can be achieved through point-to-point communication or transmission using the MMS protocol based on the IEC61850 standard. After the instructions are sent, the system acquires real-time feedback signals from the device through the status acquisition module, including switch position status, adjustment parameter values, and protection device operation status. The acquisition frequency is typically set to 100ms to 500ms to meet real-time control requirements.

[0058] The system compares the preset expected state with the actual feedback state to determine whether the operation was successful. For example, for a circuit breaker closing operation, the system expects the feedback state to be "closed." If this state is not received within a set timeout period (e.g., 5 seconds), an exception handling mechanism is triggered. Furthermore, the system supports dynamic delay settings; for example, in bus switching operations, a minimum interval time can be set. To ensure a smooth transition of the electrical system. If any step fails, the system will follow a pre-defined exception handling strategy, such as a set number of retries. , jump mark Or interruption flag This will determine whether to continue with the subsequent steps or terminate the process.

[0059] This procedure is widely used in power plant scenarios such as unit start-up and shutdown, switching operations, and main transformer switching. For example, when performing a busbar switching operation, the system needs to control the busbar disconnect switch, circuit breaker, grounding switch, and other equipment in sequence. At each step, feedback status must be collected and logical judgments must be made to ensure that the operation path meets the electrical interlocking conditions and is consistent with the dispatching instructions.

[0060] The closed-loop control mechanism significantly improves the execution accuracy and response speed of sequential control operations, effectively preventing safety accidents caused by abnormal equipment status or incorrect operation sequence. Simultaneously, it supports multi-level anomaly handling strategies, enhancing the system's fault tolerance and stability under complex operating conditions, providing a solid guarantee for the intelligent and automated operation of the power plant centralized control system.

[0061] Furthermore, S4 includes: S41 employs a state feedback-driven control strategy, which compares the difference between the actual feedback state and the desired state. ,when Exceeding the preset threshold An alarm interruption mechanism is triggered when the alarm is triggered.

[0062] Specifically, in some implementations, this invention employs a state feedback-driven control strategy as a key closed-loop control mechanism in the sequential execution and real-time monitoring module. This strategy involves real-time acquisition of the feedback state of the target device. and the preset expected state Compare the two and calculate the difference. This difference value is used to determine whether the current control step has been successfully completed, thereby deciding whether to continue with subsequent operations or trigger an alarm interruption mechanism.

[0063] The system acquires equipment status parameters in real time, such as circuit breaker position, main valve opening, guide vane angle, and active / reactive power setpoints, through SCADA (Supervisory Control and Data Acquisition) interfaces or PLC (Programmable Logic Controller) communication protocols (e.g., Modbus, IEC 60870-5-104, MQTT, etc.). Simultaneously, the desired state is pre-set by the sequential control logic automatic generation module based on the operation ticket content and system topology, ensuring compliance with operating procedures and safety interlock conditions. After each operation command is executed, the system sets a status feedback acquisition cycle. The response time is typically between 50ms and 500ms, depending on the device's response speed and control precision requirements. If within this period... Not dropped to the preset threshold The following indicates that the execution of this step is abnormal.

[0064] Preset threshold The settings need to be adjusted according to the equipment type and control precision. For example, for the circuit breaker position status, It can be set to 0.1 (indicating that the deviation between the position feedback and the target position does not exceed 10%); for main valve opening control, It can be set to 0.05 (indicating that the opening error does not exceed 5%). In addition, the system can be configured to set the maximum number of retries. Typically, three alarms are performed to avoid false alarms caused by momentary communication failures or equipment response delays.

[0065] This state feedback-driven mechanism is widely used in scenarios such as switching operations, unit start-up and shutdown, and parameter adjustment in power plant centralized control systems. For example, when performing a circuit breaker closing operation, the system expects the state to be "closed in place," but if the feedback state is still "open," and... If this occurs, the system will suspend the current sequential control process and notify the operators to intervene through audible and visual alarms, pop-up prompts, and other means to prevent electrical accidents caused by misoperation.

[0066] A closed-loop feedback mechanism ensures that the execution results of each control command meet expectations, thereby improving the reliability and safety of sequential control operations. Simultaneously, an alarm interruption mechanism can respond promptly to anomalies, preventing the spread of cascading failures and providing stable and controllable execution assurance for the power plant centralized control system.

[0067] The integrated sequential control operation execution method for power plant centralized control systems according to embodiments of the present invention can realize the automatic generation and closed-loop execution of sequential control logic driven by electronic operation tickets, improve the automation level and operational safety of power plant centralized control systems, and effectively reduce manual intervention and operational errors.

[0068] Furthermore, it also includes: S5 calls the AGC / AVC regulation function module to dynamically allocate setpoints and adjust control parameters for each unit according to the active / reactive power regulation requirements in the sequential control process.

[0069] Specifically, in some implementations, the step of invoking the AGC / AVC regulation function module is a key control link in the integrated sequential control operation execution method of this invention. Its technical implementation is based on the preset Automatic Generation Control (AGC) and Automatic Voltage Control (AVC) modules in the power plant centralized control system, combined with the active / reactive power regulation requirements parsed in the sequential control process, to achieve dynamic allocation of setpoints for each unit and real-time adjustment of control parameters. This step involves receiving the regulation target (such as active power setpoint) from the structured operation request. Reactive power setpoint In conjunction with the current power grid dispatch instructions and system operating status, the regulation algorithm in the AGC / AVC module is invoked to perform closed-loop control on the target unit.

[0070] The AGC module typically operates based on active power commands issued by the power grid dispatch center. Based on the current output power of the unit The power regulation of each unit is calculated using a proportional-integral-derivative (PID) control algorithm or a model predictive control (MPC) strategy. This data is then distributed to the corresponding unit's regulation system. The AVC module, based on the voltage level... With target voltage The reactive power adjustment amount of each unit is calculated using the reactive power regulation model. To maintain the bus voltage within the allowable range (e.g.) During the adjustment process, the system will adjust according to the unit's adjustment capacity. , , , Dynamic allocation is implemented to ensure the feasibility and safety of the adjustment process.

[0071] This step is widely used in scenarios such as load regulation, voltage stability control, and grid-connected operation optimization in power plants. For example, when the grid dispatch requires the power plant to increase active power output, the system will call the AGC module based on the regulation requirements analyzed in the sequential control process to adjust the set values ​​of parameters such as the guide vane opening and excitation current of each unit, ensuring that the active power of the entire plant responds quickly and outputs stably. When there is voltage abnormality or bus voltage fluctuation, the AGC module will link the reactive power regulation devices of each unit, such as the excitation system or SVG (static var generator), to dynamically adjust the reactive power output to maintain the system voltage within the safe operating range.

[0072] By integrating AGC / AVC regulation functions with the sequential control process, a closed-loop response from operation commands to control execution is achieved, significantly improving the automation level and regulation accuracy of the power plant centralized control system. Simultaneously, this step supports coordinated regulation of multiple units, avoiding errors and inconsistencies that may occur in traditional manual setpoint allocation, and enhancing the system's adaptability and operational stability under complex operating conditions.

[0073] S6 feeds back the AGC / AVC adjustment results to the sequential control logic chain, which serves as the execution condition for subsequent operation steps and is verified in real time, forming a closed-loop control system of adjustment-sequential control linkage.

[0074] Specifically, in some implementations, feeding back the AGC / AVC regulation results to the sequential control logic chain as execution conditions for subsequent operation steps for real-time verification is a key step in constructing a regulation-sequential control linkage closed-loop control system. This step dynamically matches the regulation outputs of the Automatic Generation Control (AGC) and Automatic Voltage Control (AVC) modules with the equipment status and operating conditions in the sequential control logic, thereby achieving closed-loop feedback and condition-driven execution of the control process.

[0075] This step first obtains the adjustment results from the AGC / AVC module via a data interface, including the active power setpoint of the target unit. Reactive power setpoint Voltage setting value Key parameters, such as circuit breaker position, main valve opening, and excitation status, are encapsulated in a standardized data model and compared in real time with equipment state variables in the sequential control logic chain. Each step in the sequential control logic has a precondition and an expected feedback. For example, a certain step requires "the main transformer tap position to reach..." And the excitation system response time is less than The system will determine whether the condition is met based on the AGC / AVC adjustment results.

[0076] The system is configured to adjust the response threshold. , , This is used to determine whether the adjustment result is within the allowable error range. In addition, the system also introduces a time window mechanism to control the response time of the adjustment result. Conduct an assessment to ensure that it meets the delay requirements set in the sequential control process. If the adjustment result does not reach the expected state within the set time, the system will trigger a timeout alarm and suspend subsequent operations to prevent cascading failures caused by control lag.

[0077] In application scenarios, this step is widely used in complex operation scenarios such as unit start-up and shutdown, bus switching, and main transformer switching in power plants. For example, when executing the "unit grid connection" sequential control process, the system needs to determine whether the synchronization conditions are met based on the voltage regulation results fed back by the AVC module, including voltage amplitude difference. Frequency difference Phase difference These are the indicators. Only when all these indicators are within safe limits will the system proceed to the next step of the synchronization and closing operation.

[0078] The technical advantage of this step lies in achieving a closed-loop feedback mechanism for the control process by real-time linkage and verification between the AGC / AVC adjustment results and the sequential control logic, thereby improving the real-time performance and accuracy of the system response. Simultaneously, this mechanism effectively avoids malfunctions caused by incomplete adjustments or abnormal equipment conditions, enhancing the safety and reliability of the power plant centralized control system and providing a solid guarantee for achieving full-process automated control.

[0079] The integrated sequential control operation execution method for power plant centralized control systems of this invention dynamically allocates unit setpoints and adjusts control parameters by calling the AGC / AVC regulation function module, and performs real-time verification of the sequential control logic chain based on the regulation results. This further enhances the closed-loop control capability of sequential control operations, realizes the organic linkage between regulation control and sequential control execution, and improves the coordination and response accuracy of power plant operation.

[0080] Example 2 This invention proposes an integrated sequential control operation execution method for power plant centralized control systems. Combining electronic operation ticket driving, system topology identification, and automatic control logic generation, it achieves efficient automatic execution of unit start-up and shutdown, switching operations, and parameter adjustment processes. The system mainly comprises four parts: a comprehensive operation instruction receiving and identification module, a sequential control logic automatic generation module, a manual review and interlocking verification module, and a sequential control execution and real-time monitoring module. Figure 2 and Figure 3 As shown: In one embodiment of the present invention, a comprehensive operation instruction receiving and identification module is included. This module is responsible for receiving comprehensive operation requests issued by operators through the centralized control system and parsing and standardizing the operation content. This includes identifying and classifying instructions such as start / stop commands, switching operation tickets, and parameter setting adjustments; constructing a structured list of operation targets; extracting key elements such as relevant equipment, operation target status, and execution timing constraints; and generating a standardized operation input format to provide basic data support for subsequent sequential control logic generation. This module can effectively improve the efficiency of operation instruction processing, reduce manual input errors, and ensure the integrity and controllability of subsequent operation processes.

[0081] Specifically, the system receives, classifies, structures, and preprocesses operation requests issued by operators in the centralized control system, serving as input for subsequent sequential control processes. It determines the instruction type and extracts the operation target, such as the target equipment, the action to be performed (closing, opening, setpoint adjustment, etc.), and associated electrical components. It parses the electronic operation ticket content, identifying the equipment, loops, nodes, and operation targets involved in the operation path. The extracted information is then standardized to form a structured operation request, constructing an operation input data model as the basis for generating sequential control logic.

[0082] In one embodiment of the present invention, a sequential control logic automatic generation module is included. This module is responsible for automatically generating a sequential control operation flow that conforms to operating procedures and safety logic based on the received operation target and power plant topology. This includes dynamic analysis of the primary system wiring diagram, identification of interlocking conditions of key equipment in the operation path, and matching and calling preset control templates to construct a multi-step closed-loop sequential control logic chain, clearly defining the control object, execution conditions, action instructions, and expected feedback for each step. This module has an expandable template library and logical reasoning capabilities, supports rapid deployment of various typical operation scenarios, optimizes control paths and execution steps, and ensures the integrity, correctness, and efficiency of the sequential control logic.

[0083] Specifically, the system's topology analysis module is invoked to dynamically obtain the current primary wiring status and equipment status information. The operation target is matched with the control template library to identify the operation type (e.g., main transformer switching, busbar switching, tripping, unit start-up / shutdown, etc.). According to the operating procedures and logical relationships, a sequential control flow chain is automatically constructed, determining the order of each operation step, the operation object, the desired state, and intermediate conditions. A complete sequential control flow logic diagram and instruction sequence are formed, generating a control script containing information such as operation instructions for each step, interlock checks, and delay settings.

[0084] In one embodiment of the present invention, a manual review and interlock verification module is included. This module is responsible for manually confirming and verifying the automatically generated sequential control process, serving as a key protection mechanism before sequential control execution. It includes functions such as displaying the logical flowchart of the operation steps, judging relay protection interlocking conditions, detecting electrical interlocking conflicts, and verifying the consistency of dispatching instructions, assisting operators in judging the legality and safety of operations. The operation process is presented through a review interface, supporting manual adjustments, skipping steps, and inserting delays. Execution can only proceed after manual authorization. This module can effectively prevent errors in sequential control logic or abnormal scenarios, improving system controllability and operational safety.

[0085] Specifically, the system automatically detects the preconditions, relay protection status, electrical interlocking conditions, and scheduling authority consistency for each operation step. It alerts operators to potential risks and anomalies, allowing for manual adjustments, including skipping steps, inserting waiting conditions, or grouping operations. After operator confirmation, electronic signature authorization is completed, triggering the sequential control process and entering the executable state. Before execution, the system re-verifies the equipment status, confirming that the startup conditions are met before proceeding to execution preparation.

[0086] In one embodiment of the present invention, a sequential control execution and real-time monitoring module is included. This module is responsible for executing each control command in the sequential control operation chain according to a set logical order and monitoring the execution status throughout the entire process. This includes real-time acquisition and verification of the target device status, status judgment and comparison of command execution feedback, and response to operational anomalies, interruptions, and alarm mechanisms, ensuring that each control action is performed under safe and closed-loop conditions. Upon completion, operation records, log files, and fault analysis reports are automatically generated for review by the dispatch center and operators. This module ensures the accurate execution and traceability of results of sequential control operations, constructing a stable and reliable centralized control execution system.

[0087] Specifically, the system sends control commands (such as circuit breaker opening / closing, guide vane adjustment, main valve opening / closing, etc.) to the target equipment step by step according to the sequential control chain. It monitors the equipment status changes at each step in real time and determines whether the expected feedback value and the conditions for successful action are met. If a step times out, fails, or the status is inconsistent, the system automatically pauses the sequential control process and issues an alarm. After all operation steps are successfully executed, the system records the complete operation process, execution results, and feedback logs. It automatically generates a sequential control execution report and operation traceability documents for operators to archive or for the scheduling system to retain.

[0088] Through the above technical solution, the present invention combines electronic operation ticket driving, system topology recognition and automatic control logic generation to achieve efficient automatic execution of unit start-up and shutdown, switching operations and parameter adjustment processes.

[0089] In summary, the present invention has the following technical effects: This invention employs an automatic sequential control logic construction technology based on electronic operation ticket content. The system analyzes the target equipment, operation sequence, and expected state from the electronic operation ticket, and, combined with the primary system topology, automatically calls upon template and rule libraries to generate standardized sequential control step sequences. This technology effectively replaces manual configuration of operation procedures, improving the efficiency and accuracy of sequential control logic construction.

[0090] This invention introduces a rule-engine-based interlocking judgment method, which automatically judges multi-level interlocking conditions such as preconditions, equipment status, protection interlocks, and bus electrical logic for each control step in the sequential control process. This technology uses embedded rule sets for real-time matching and verification to ensure that the execution prerequisites of each operation meet safety requirements.

[0091] The invention employs a sequential control command closed-loop control method. After each control command is issued, the system collects the feedback status of the target device in real time and compares it with the expected status. If the conditions are met, the next step is performed; otherwise, retry, skipping, or alarm interruption logic is triggered. This closed-loop control technology ensures the stability and real-time response capability of automatic sequential control execution.

[0092] In summary, this invention can automatically generate a complete sequential control operation process upon receiving comprehensive operation instructions or electronic operation tickets from operators. It combines the current equipment status for judgment, control logic streamlining, and operation step distribution, achieving multi-unit collaborative control and sequential closed-loop execution. This method fully integrates operation logic templates, equipment status detection, manual verification processes, and system safety interlocking mechanisms. It not only improves the automation level of power plant centralized control but also ensures the correctness and safety of operations, demonstrating significant engineering application value.

[0093] Example 3 This invention also provides an integrated sequential control operation execution device 10 for power plant centralized control systems, such as... Figure 4 As shown, the device 10 includes: The operation ticket parsing module 100 is used to receive electronic operation tickets issued by operators and parse the operation content, extract the target equipment, execution action, expected status and operation timing constraints, and generate a structured operation input data model containing equipment identifier, operation type, status parameters and timestamp. The sequential control logic generation module 200 is used to dynamically generate a sequential control logic chain that includes the order of operation steps, control objects, execution conditions, and feedback verification based on the structured operation input data model and the topology of the power plant primary system, by calling a preset control template library and matching the operation procedure. The interlocking verification module 300 is used to perform multi-level interlocking verification on the sequential control logic chain using a rule engine, including relay protection interlocking conditions, electrical interlocking conflict detection and scheduling authority consistency judgment, and forms an executable control script after manual review and confirmation. The closed-loop control execution module 400 is used to send control commands to the target device in the order of the control script, collect the device feedback status in real time and compare it with the expected status, and automatically advance subsequent steps or trigger an exception handling mechanism based on the comparison result to complete the closed-loop control execution.

[0094] Furthermore, the operation ticket parsing module is also used for: Natural language processing technology is used to segment and semantically analyze the unstructured text in electronic operation tickets, and the equipment topology relationships and operating constraints are extracted by combining knowledge graphs in the power field. A structured data model containing device identifiers, operation types, status parameters, and timestamps is constructed using XML / JSON format, supporting standardized input for multi-unit collaborative operation.

[0095] Furthermore, the sequential control logic generation module is also used for: Based on the Petri net model, state transition analysis is performed on the operation path. By matching typical operation scenarios in the preset control template library, a closed-loop control flowchart containing intermediate state verification nodes is generated.

[0096] Furthermore, the closed-loop control execution module is also used for: A state feedback-driven control strategy is adopted, which compares the difference between the actual feedback state and the desired state. ,when Exceeding the preset threshold An alarm interruption mechanism is triggered when the alarm is triggered.

[0097] Furthermore, it also includes: The AGC / AVC regulation module is used to call the AGC / AVC regulation function module to dynamically allocate the setpoints of each unit and adjust the control parameters according to the active / reactive power regulation requirements in the sequential control process. The adjustment linkage verification module is used to feed back the AGC / AVC adjustment results to the sequential control logic chain, which serves as the execution condition for subsequent operation steps for real-time verification, forming a closed-loop control system of adjustment-sequential control linkage.

[0098] An integrated sequential control operation execution device for a power plant centralized control system according to an embodiment of the present invention dynamically allocates unit setpoints and adjusts control parameters by calling the AGC / AVC regulation function module, and performs real-time verification of the sequential control logic chain based on the regulation results, thereby further enhancing the closed-loop control capability of sequential control operation, realizing the organic linkage between regulation control and sequential control execution, and improving the coordination and response accuracy of power plant operation.

[0099] The above description is merely a preferred embodiment of the present invention and is not intended to limit the 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.

[0100] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0101] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified.

Claims

1. A method for integrated sequence control operation execution for a power plant centralized control system, characterized in that, The method comprises the following steps: S1, receiving an electronic operation order issued by an operator and analyzing the operation content, extracting the target device, execution action, expected state and operation timing constraint, and generating a structured operation input data model; S2, based on the structured operation input data model and the power station primary system topology, calling a preset control template library and matching the operation rules, dynamically generating a sequence control logic chain containing operation step sequence, control object, execution condition and feedback verification; S3, using a rule engine to perform multi-level interlocking verification on the sequence control logic chain, including relay protection locking condition, electrical interlocking conflict detection and dispatching authority consistency judgment, and forming an executable control script after manual review and confirmation; S4, according to the control script sequence, sending control instructions to the target device, collecting device feedback state in real time and comparing with the expected state, according to the comparison result, automatically advancing the subsequent steps or triggering the abnormal processing mechanism, completing the closed-loop control execution.

2. The method of claim 1, wherein, The S1 further comprises: S11, using natural language processing technology to perform word segmentation and semantic analysis on the unstructured text in the electronic operation order, and combining the power field knowledge graph to extract the device topology relationship and operation constraint condition; S12, constructing a structured data model containing device identifier, operation type, state parameter and timestamp through XML / JSON format, supporting standardized input of multi-unit cooperative operation.

3. The method of claim 1, wherein, The S2 further comprises: S21, based on Petri net model, performing state transition analysis on the operation path, and generating a closed-loop control flowchart containing intermediate state verification nodes by matching typical operation scenes in the preset control template library.

4. The method of claim 1, wherein, The S4 further comprises: S41, a state feedback driven control strategy is adopted, and the difference value between the actual feedback state and the expected state is compared When the preset threshold is exceeded , the alarm interrupt mechanism is triggered.

5. The method of claim 1, wherein, Further comprising: S5, calling AGC / AVC adjustment function module, dynamically allocating the set value of each unit and adjusting the control parameter according to the active / reactive adjustment demand in the sequence control process; S6, feeding back the AGC / AVC adjustment result to the sequence control logic chain as the execution condition of the subsequent operation steps for real-time verification, forming a closed-loop control system of adjustment-sequence control linkage.

6. A power plant integrated sequence control operation execution device for a power plant centralized control system, characterized by comprising: The method comprises the following steps: An operation order analysis module is configured to receive an electronic operation order issued by an operator and analyze the operation content, extract the target device, execution action, expected state and operation timing constraint, and generate a structured operation input data model containing device identifier, operation type, state parameter and timestamp; A sequence control logic generation module is configured to, based on the structured operation input data model and the power station primary system topology, call a preset control template library and match the operation rules, dynamically generate a sequence control logic chain containing operation step sequence, control object, execution condition and feedback verification; An interlocking verification module is configured to use a rule engine to perform multi-level interlocking verification on the sequence control logic chain, including relay protection locking condition, electrical interlocking conflict detection and dispatching authority consistency judgment, and form an executable control script after manual review and confirmation; A closed-loop control execution module is configured to, according to the control script sequence, send control instructions to the target device, collect device feedback state in real time and compare with the expected state, according to the comparison result, automatically advance the subsequent steps or trigger the abnormal processing mechanism, complete the closed-loop control execution.

7. The apparatus of claim 6, wherein, The operation ticket analysis module is further configured to: adopt natural language processing technology to perform word segmentation and semantic analysis on unstructured text in the electronic operation ticket, and extract device topology relationship and operation constraint conditions in combination with an electric power field knowledge graph; construct a structured data model including device identifiers, operation types, state parameters and time stamps in XML / JSON format, and support standardized input for multi-unit cooperative operation.

8. The apparatus of claim 6, wherein, The sequential control logic generation module is further configured to: perform state transition analysis on the operation path based on a Petri net model, match typical operation scenarios in a preset control template library, and generate a closed-loop control flowchart including intermediate state check nodes.

9. The apparatus of claim 6, wherein, The closed-loop control execution module is further configured to: Adopting state feedback driven control strategy, through comparing the difference value between actual feedback state and expected state When exceeding preset threshold trigger alarm interrupt mechanism.

10. The apparatus of claim 6, wherein, further comprising: an AGC / AVC adjustment module configured to call an AGC / AVC adjustment function module, dynamically allocate set values of each unit and adjust control parameters according to active / reactive power adjustment requirements in the sequential control flow; and an adjustment linkage check module configured to feed back AGC / AVC adjustment results to the sequential control logic chain as an execution condition for subsequent operation steps for real-time check, so as to form a closed-loop control system of adjustment-sequential control linkage.

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