A system and method for safe operation of offshore wind power under typhoon conditions

Abstract

The application discloses a typhoon condition offshore wind power safe operation system and method, wherein a data service module provides data exchange services for a real-time monitoring and early warning module, a safety checking module, a dispatching plan module and a dispatching management module; the real-time monitoring and early warning module monitors the running state data of the offshore wind power grid in real time, and performs safety early warning on the offshore wind power grid according to the running state data, wherein the running state data comprises the running state data of the offshore wind power grid in typhoon weather conditions; the safety checking module performs safety checking on the offshore wind power grid based on the running state data, and obtains checking result data; the dispatching plan module generates dispatching plan data of the offshore wind power grid based on the running state data and the checking result data; and the dispatching management module performs power dispatching on the offshore wind power grid based on the dispatching plan data. The data sharing and data uniformity among multiple models are realized, business comprehensive coverage is achieved, and the offshore wind power operation system with comprehensive functions is formed.

Description

Technical Field

[0001] This application relates to the field of power operation system technology, and in particular to a safe operation system and method for offshore wind power under typhoon conditions. Background Technology

[0002] Currently, offshore wind power operation systems consist of various monitoring systems, each independently constructed. This leads to information duplication and lack of sharing between systems, hindering their interconnectivity. Furthermore, current offshore wind power safety operation systems primarily address normal wind conditions and do not cover safe operation technologies under typhoon conditions. Coastal areas are prone to typhoons, posing potential safety hazards to the normal safe operation of offshore wind power.

[0003] Given the limited data available in each existing system for its single application function, it is difficult to support application environments under typhoon conditions. Furthermore, manually sharing system data and performing data scheduling and analysis would waste significant human resources. Therefore, automating the scheduling of various business data and integrating application functions is essential. Summary of the Invention

[0004] This application provides a system and method for safe operation of offshore wind power under typhoon conditions, in order to solve the technical problem that current systems are functionally singular and independent, and cannot meet the monitoring needs of offshore wind power operation under typhoon conditions.

[0005] To address the aforementioned technical problems, firstly, this application provides a safe operation system for offshore wind power under typhoon conditions, including a real-time monitoring and early warning module, a dispatch management module, a safety verification module, a dispatch planning module, and a data service module.

[0006] The data service module provides data exchange services for the real-time monitoring and early warning module, the security verification module, the scheduling plan module, and the scheduling management module.

[0007] The real-time monitoring and early warning module is used to monitor the operational status data of the offshore wind power grid in real time, and to provide safety warnings for the offshore wind power grid based on the operational status data. The operational status data includes the operational status data of the offshore wind power grid under typhoon weather conditions.

[0008] The safety verification module is used to perform safety verification on offshore wind power grids based on operational status data and obtain verification result data.

[0009] The scheduling plan module is used to generate scheduling plan data for offshore wind power grids based on operational status data and verification result data.

[0010] The dispatch management module is used to perform power dispatching for offshore wind power grids based on dispatch plan data, so as to maintain the safe and stable operation of offshore wind power grids under typhoon weather conditions.

[0011] In some implementations, the data service module includes:

[0012] The first data service unit is used to provide the real-time monitoring and early warning module with data services for obtaining scheduling plan data from the scheduling plan module, as well as power grid model data and limit data from the scheduling management module. The scheduling plan data includes power generation plan data, and the power grid model data is constructed based on the operating status data under various typhoon weather conditions.

[0013] In some implementations, the real-time monitoring and early warning module is specifically used for:

[0014] The system acquires operational status data and utilizes grid model data and quota data to conduct status analysis of the offshore wind power grid based on operational status data and power generation plan data. Based on the status analysis results, it also provides safety warnings for the offshore wind power grid.

[0015] In some implementations, the data service module also includes:

[0016] The second data service unit is used to provide the scheduling management module with data services for obtaining scheduling plan data from the scheduling plan module, verification result data from the safety verification module, and status analysis results from the real-time monitoring and early warning module.

[0017] In some implementations, the scheduling management module is specifically used for:

[0018] Based on scheduling plan data, verification results data, and status analysis results, the offshore wind power grid is scheduled and managed. The scheduling management includes scheduling operation management, scheduling plan management, relay protection management, power grid scheduling automation management, power communication management, and hydropower scheduling management.

[0019] In some implementations, the data service module also includes:

[0020] The third data service unit is used to provide the scheduling planning module with data services for obtaining analysis results data from the real-time monitoring and early warning module, verification results data from the safety verification module, and power grid model data and limit data from the scheduling management module.

[0021] In some implementations, the scheduling module is specifically used for:

[0022] Using power grid model data and quota data, and based on the analysis results and verification results, dispatch plan data for offshore wind power grids is generated. The dispatch plan data includes maintenance plans, hydropower and new energy dispatch plans, and power generation plans.

[0023] In some implementations, the data service module also includes:

[0024] The fourth data service unit is used to provide the safety verification module with data services for obtaining scheduling plan data from the scheduling plan module, power grid model data and limit data from the scheduling management module, and operation status data from the real-time monitoring and early warning module.

[0025] In some implementations, the security verification module is specifically used for:

[0026] Using grid model data and limit data, and based on dispatch plan data and operating status data, static safety verification, stability calculation verification, and stability margin verification are performed on offshore wind power grids.

[0027] Secondly, this application provides a method for safe operation of offshore wind power under typhoon conditions, including:

[0028] The real-time monitoring and early warning module monitors the operational status data of the offshore wind power grid in real time, and provides safety warnings for the offshore wind power grid based on the operational status data, including the operational status data of the offshore wind power grid under typhoon weather conditions.

[0029] The safety verification module performs a safety verification of the offshore wind power grid based on the operational status data, and obtains the verification result data.

[0030] The scheduling plan module generates scheduling plan data for the offshore wind power grid based on operational status data and verification results data.

[0031] The scheduling management module performs power dispatching on the offshore wind power grid based on scheduling plan data to maintain the safe and stable operation of the offshore wind power grid under typhoon weather conditions.

[0032] The data service module provides data exchange services for the real-time monitoring and early warning module, the security verification module, the scheduling plan module, and the scheduling management module.

[0033] Compared with the prior art, this application has at least the following beneficial effects:

[0034] This invention provides a safe operation system for offshore wind power under typhoon conditions. A data service module provides data exchange services to a real-time monitoring and early warning module, a safety verification module, a scheduling plan module, and a scheduling management module, enabling data sharing and consistency among multiple models with application functions. The real-time monitoring and early warning module monitors the operational status data of the offshore wind power grid in real time and provides safety warnings based on this data. The operational status data includes the operational status data of the offshore wind power grid under typhoon weather conditions. The safety verification module performs safety verification on the offshore wind power grid based on the operational status data, obtaining verification result data. The scheduling plan module generates scheduling plan data for the offshore wind power grid based on the operational status data and verification result data. The scheduling management module performs power dispatching on the offshore wind power grid based on the scheduling plan data to maintain the safe and stable operation of the offshore wind power grid under typhoon weather conditions. This achieves comprehensive business coverage for data monitoring and early warning, safety verification, power dispatching planning, and scheduling management of the offshore wind power grid under typhoon weather conditions, forming a fully functional offshore wind power operation system capable of operating under both typhoon and non-typhoon weather conditions. Attached Figure Description

[0035] Figure 1 This is a schematic diagram of the structure of an offshore wind power safety operation system according to an embodiment of this application;

[0036] Figure 2 This is a schematic diagram of the structure of an offshore wind power safety operation system according to another embodiment of this application;

[0037] Figure 3 This is a schematic diagram illustrating the structure of an offshore wind power safe operation method according to an embodiment of this application;

[0038] Figure 4 This is a schematic diagram of the structure of a computer device shown in an embodiment of this application. Detailed Implementation

[0039] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0040] Please refer to Figure 1 , Figure 1This is a schematic diagram illustrating the structure of an offshore wind power safety operation system for typhoon conditions, provided as an embodiment of this application. The offshore wind power safety operation system of this embodiment can be integrated into computer equipment, including but not limited to laptops, tablets, desktop computers, physical servers, and cloud servers. Figure 1 As shown, the offshore wind power safety operation system of this embodiment includes a data service module 101, a real-time monitoring and early warning module 102, a safety verification module 103, a scheduling plan module 104, and a scheduling management module 105;

[0041] The data service module 101 is used to provide data exchange services for the real-time monitoring and early warning module 102, the security verification module 103, the scheduling plan module 104, and the scheduling management module 105.

[0042] This module provides data services for data interaction between different functional modules to achieve data sharing, data consistency, and application function enhancement. It also provides a powerful and easy-to-use integrated support environment for the operation and development of offshore wind power grid dispatch automation.

[0043] The real-time monitoring and early warning module 102 is used to monitor the operation status data of the offshore wind power grid in real time, and to provide safety early warnings for the offshore wind power grid based on the operation status data. The operation status data includes the operation status data of the offshore wind power grid under typhoon weather conditions.

[0044] In this module, the real-time monitoring and early warning module meets the needs of power grid operation and alarm services. Its specific service content includes: real-time power grid monitoring and alarm, power grid automatic control, network analysis, and monitoring of hydropower and new energy power generation. It effectively performs its functions for real-time monitoring of offshore wind power grids under both typhoon and normal conditions. After collecting real-time data, it analyzes the relevant data and generates early warning indicators. For example, after acquiring real-time power grid operating status data, it performs online safety and stability analysis based on the operating status data. Using the operating status data of wind turbine units, it determines whether remote signaling changes have occurred. After analyzing the remote signaling signals, if changes are found, an early warning is issued.

[0045] The safety verification module 103 is used to perform safety verification on the offshore wind power grid based on the operating status data, and obtain verification result data.

[0046] In this module, the safety verification module is responsible for the grid safety verification work of the offshore wind power grid's power dispatching agency. All power transactions must undergo safety verification before taking effect. The safety verification module will provide timely feedback on the verification results and output adjustment information, such as overload information, sensitivity information, stability information, and other status information.

[0047] The scheduling plan module 104 is used to generate scheduling plan data for the offshore wind power grid based on the operating status data and the verification result data.

[0048] In this module, the scheduling plan module sets up the scheduling plan, enabling the offshore wind power grid to operate according to schedule. Plans are typically categorized as annual, monthly, and daily plans. The scheduling plan module also generates and analyzes scheduling plans through internal functions, outputting data such as forecasts, generation plans, power exchange plans, maintenance plans, and power generation data.

[0049] The scheduling management module 105 is used to perform power dispatching on the offshore wind power grid based on the scheduling plan data, so as to maintain the safe and stable operation of the offshore wind power grid under the typhoon weather conditions.

[0050] In this embodiment, the power grid dispatching agency manages the production and operation of the power grid, the power grid dispatching system, and the duties of its personnel in accordance with relevant regulations. This generally includes dispatching production and operation management, relay protection and safety automatic device management, power grid dispatching automation management, and power communication management. Outputs include power grid models, equipment parameters, maintenance requests, equipment operation information, and power grid quota information.

[0051] The task of the dispatch management module is to organize, command, guide, and coordinate the operation of the power grid, including load balancing of the entire power system, power plant output allocation, maintenance arrangements for power generation and supply equipment, power quality adjustment, and safe and economical operation. The dispatch principle is that all components of the system should serve the best interests of the entire power system, enabling the power system to operate safely, efficiently, and economically. It ensures the safe, efficient, and economical operation of the power grid, operating at the lowest possible power supply cost or with minimal power generation energy consumption and network losses.

[0052] It should be noted that this system achieves full coverage of offshore wind power safety operation under typhoon conditions. It will utilize end-to-end process management technology to create a unified business and data workflow, providing more powerful, flexible, and practical application modules for dispatch automation. Offshore wind power safety operation considers various data and application requirements of offshore wind power, constructing a unified support platform with a service-oriented architecture. Through data service modules, it achieves data integration and application function integration across various businesses in the dispatch center, realizing data sharing, data consistency, and value-added application functions. It also provides a powerful and user-friendly integrated support environment for the operation and development of dispatch automation.

[0053] In some embodiments, the data service module 101 includes:

[0054] The first data service unit is used to provide the real-time monitoring and early warning module with data services for obtaining scheduling plan data from the scheduling plan module and power grid model data and limit data from the scheduling management module. The scheduling plan data includes power generation plan data, and the power grid model data is constructed based on the operating status data under various typhoon weather conditions.

[0055] In this embodiment, the real-time monitoring and early warning unit can obtain the necessary data from the scheduling planning unit and the scheduling management unit on the first data service unit. For example, using the acquired power generation plan data, the operation of the offshore wind power grid can be analyzed. Specifically, online monitoring data of offshore wind turbines, combined with technologies such as scheduling feasible domain calculation, large-scale operation simulation, and deep reinforcement learning for safety, can be used to analyze and assess the impact of large-scale offshore wind power disconnection from the grid under different typhoon scenarios on the safety risks of grid operation, providing a decision-making basis for the safe operation of the large power grid under typhoon conditions. Alternatively, based on multi-source, multi-dimensional big data, data cleaning and cluster analysis can be performed, combined with mathematical model analysis and simulation, to study the operating characteristics of offshore wind power under typhoon conditions.

[0056] Understandably, the real-time monitoring and early warning module can also obtain the necessary data from the security verification module and the scheduling management module according to business needs.

[0057] In some embodiments, the real-time monitoring and early warning module 102 is specifically used for:

[0058] The system acquires the operational status data, and uses the power grid model data and the quota data to perform a status analysis of the offshore wind power grid based on the operational status data and the power generation plan data. Based on the status analysis results, it provides a safety warning for the offshore wind power grid.

[0059] In this embodiment, the real-time monitoring and early warning module includes a power grid real-time monitoring and intelligent alarm unit, a network analysis unit, an auxiliary monitoring unit, a dispatching and operation auxiliary decision-making unit, an online safety and stability analysis unit, a hydropower and new energy monitoring and analysis unit, and an operation analysis and evaluation unit. These units monitor the power grid and analyze various indicators based on the acquired data. Each unit corresponds to a specific function, monitoring data such as voltage, power, and parallel voltage, and providing early warnings for dangerous situations.

[0060] In some embodiments, the data service module 101 further includes:

[0061] The second data service unit is used to provide the scheduling management module with data services for obtaining scheduling plan data from the scheduling plan module, obtaining verification result data from the security verification module, and obtaining status analysis results from the real-time monitoring and early warning module.

[0062] In this embodiment, the scheduling management module obtains data from the scheduling plan module, the safety verification module, and the real-time monitoring and early warning module. The specific data obtained can be determined based on the actual application scenario, truly achieving data sharing. Each functional module can obtain the necessary data, thereby enhancing the application functionality within each module.

[0063] In some embodiments, the scheduling management module 105 is specifically used for:

[0064] Based on the scheduling plan data, verification result data, and status analysis results, the offshore wind power grid is scheduled and managed. The scheduling management includes scheduling operation management, scheduling plan management, relay protection management, power grid scheduling automation management, power communication management, and hydropower scheduling management.

[0065] In this embodiment, the dispatch management module includes a production operation unit, a professional management unit, a comprehensive analysis and evaluation unit, an information display and dissemination unit, and an internal comprehensive management unit. Power grid dispatch management refers to the management of power grid production operation, power grid dispatching system, and personnel duties by the power grid dispatching agency in accordance with relevant regulations to ensure the safe, high-quality, and economical operation of the power grid. It generally includes dispatch operation management, dispatch plan management, relay protection management, power grid dispatch automation management, power communication management, hydropower plant and reservoir dispatch management, and power system personnel training management, etc.

[0066] In some embodiments, the data service module 101 further includes:

[0067] The third data service unit is used to provide the scheduling planning module with data services for obtaining analysis result data from the real-time monitoring and early warning module, verification result data from the safety verification module, and power grid model data and limit data from the scheduling management module.

[0068] In this embodiment, the scheduling planning module obtains power grid model data, equipment parameter data, maintenance application data, and quota data from the scheduling management module; historical data and analysis results data from the real-time monitoring and early warning module; and verification results data from the safety verification module. This embodiment enhances the functionality of the business units within the scheduling planning module, maximizing its capabilities. For example, after obtaining historical data from the real-time monitoring and early warning module, the scheduling planning unit can use its internal prediction unit to predict the operation of wind turbines in offshore wind power operations based on this historical data. Optionally, the types of data mentioned above can be determined according to the actual application scenario, and the scheduling planning module can obtain the required data from other modules based on business needs.

[0069] In some embodiments, the scheduling planning module 104 is specifically used for:

[0070] Using the power grid model data and quota data, and based on the analysis results and verification results, the dispatch plan data for the offshore wind power grid is generated. The dispatch plan data includes maintenance plans, hydropower and new energy dispatch plans, and power generation plans.

[0071] In this embodiment, the scheduling planning unit includes a declaration and release unit, a maintenance planning unit, a hydropower and new energy scheduling unit, an assessment and settlement unit, a forecasting unit, a short-term transaction management unit, a power generation planning unit, and a planning analysis and evaluation unit.

[0072] Optionally, safety monitoring of power system dispatch is inseparable from understanding the operating status of the power system. Therefore, the first step in power system dispatching planning is to install remote control devices to automatically collect real-time movement information of major power plants and substations in the power system. This information is then provided to dispatchers directly or after necessary processing by a computer system, through a human-machine interface subsystem, so as to correctly understand the real-time structure and operating parameters of the power system, realize safety monitoring of the power system operation, and provide a scientific basis for correct dispatching decisions. Furthermore, online power system safety analysis will further enhance the dispatcher's ability to analyze and process real-time information, mainly including: (1) accident prediction during normal operation (such as system over-limits, stability, etc. after the main line or unit is disconnected). (2) providing accident handling countermeasures when an accident occurs (such as automatically tracking the development of the accident, continuously providing information on changes in system operation mode and operating parameters, the operation of relay protection and circuit breakers, and proposing corresponding accident handling countermeasures to shorten the accident handling time).

[0073] In some embodiments, the data service module 101 further includes:

[0074] The fourth data service unit is used to provide the safety verification module with data services for obtaining scheduling plan data from the scheduling plan module, obtaining power grid model data and limit data from the scheduling management module, and obtaining operating status data from the real-time monitoring and early warning module.

[0075] In this embodiment, the security verification module obtains the power generation plan data, the exchange plan data, and the maintenance plan data from the scheduling plan module; and obtains the power grid model data and the quota data from the scheduling management module. Optionally, the types of data mentioned above can be determined according to the actual application scenario. The security verification module can obtain the required data from other modules according to business needs, thereby truly realizing data sharing and adding value to the application functions within the business modules.

[0076] In some embodiments, the security verification module 103 is specifically used for:

[0077] Using the power grid model data and limit data, and based on the scheduling plan data and operating status data, static safety verification, stability calculation verification, and stability margin verification are performed on the offshore wind power grid.

[0078] In this embodiment, the safety verification module includes a static safety verification unit, a stability calculation verification unit, a stability margin assessment unit, and an auxiliary decision-making unit. Optionally, the current power system stability margin can be rapidly assessed online by simultaneously applying regression analysis and artificial neural network models to voltage stability assessment, using regression analysis to determine the load's sensitivity to the voltage stability margin.

[0079] This is an example, not a limitation. Figure 2 This paper illustrates a schematic diagram of another offshore wind power safety operation system provided in this application. This system is integrated into a basic platform, achieves data interaction through a data service module, and implements corresponding application functions through a real-time monitoring and early warning module, a safety verification module, a scheduling plan module, and a scheduling management module.

[0080] See Figure 3 , Figure 3 This application provides a flowchart illustrating a method for safe operation of offshore wind power under typhoon conditions. This method can be applied to the aforementioned offshore wind power safe operation system. The method includes:

[0081] Step 301: Monitor the operation status data of the offshore wind power grid in real time through the real-time monitoring and early warning module, and issue a safety warning for the offshore wind power grid based on the operation status data. The operation status data includes the operation status data of the offshore wind power grid under typhoon weather conditions.

[0082] Step 302: Based on the operational status data, the safety verification module performs a safety verification on the offshore wind power grid to obtain verification result data;

[0083] Step 303: Based on the operating status data and verification result data, the scheduling plan module generates the scheduling plan data for the offshore wind power grid.

[0084] Step 304: The scheduling management module performs power dispatching on the offshore wind power grid based on the scheduling plan data to maintain the safe and stable operation of the offshore wind power grid under the typhoon weather conditions; wherein the data service module provides data exchange services to the real-time monitoring and early warning module, the safety verification module, the scheduling plan module and the scheduling management module.

[0085] The options described in the above-described offshore wind power safe operation system embodiments are also applicable to this embodiment, and will not be detailed here. The remaining contents of this application's embodiments can be found in the above-described system embodiments, and will not be repeated in this embodiment.

[0086] Figure 4 This is a schematic diagram of the structure of a computer device provided in an embodiment of this application. Figure 4 As shown, the computer device 4 of this embodiment includes: at least one processor 40 ( Figure 4 (Only one is shown in the diagram) a processor, a memory 41, and a computer program 42 stored in the memory 41 and executable on the at least one processor 40, which, when executing the computer program 42, implements the steps in any of the above method embodiments.

[0087] The computer device 4 can be a smartphone, tablet, desktop computer, cloud server, or other computing device. This computer device may include, but is not limited to, a processor 40 and a memory 41. Those skilled in the art will understand that... Figure 4 The computer device 4 is merely an example and does not constitute a limitation on the computer device 4. It may include more or fewer components than shown, or combine certain components, or different components, such as input / output devices, network access devices, etc.

[0088] The processor 40 may be a Central Processing Unit (CPU), or it may be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0089] In some embodiments, the memory 41 may be an internal storage unit of the computer device 4, such as a hard disk or memory of the computer device 4. In other embodiments, the memory 41 may be an external storage device of the computer device 4, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the computer device 4. Furthermore, the memory 41 may include both internal and external storage units of the computer device 4. The memory 41 is used to store the operating system, applications, bootloader, data, and other programs, such as the program code of the computer program. The memory 41 can also be used to temporarily store data that has been output or will be output.

[0090] In addition, embodiments of this application also provide a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps in any of the above method embodiments.

[0091] This application provides a computer program product that, when run on a computer device, enables the computer device to execute the steps described in the various method embodiments above.

[0092] In the several embodiments provided in this application, it will be understood that each block in the flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than those shown in the figures. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved.

[0093] If the aforementioned functions are implemented as software functional modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0094] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of this application. It should be understood that the above descriptions are merely specific embodiments of this application and are not intended to limit the scope of protection of this application. In particular, it should be noted that any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application for those skilled in the art.

Claims

1. A safe operation system for offshore wind power under typhoon conditions, characterized in that, It includes application modules for real-time monitoring and early warning, scheduling and management, security verification, scheduling and planning, and data services. The data service module is used to provide data exchange services for the real-time monitoring and early warning application module, the safety verification application module, the scheduling plan application module, and the scheduling management application module. It includes: a first data service unit, used to provide the real-time monitoring and early warning application module with data services for obtaining scheduling plan data from the scheduling plan application module, and obtaining power grid model data and quota data from the scheduling management application module. The scheduling plan data includes generation plan data, and the power grid model data is constructed based on operational status data under various typhoon weather conditions. It also includes: a second data service unit, used to provide the scheduling management application module with data services for obtaining scheduling plan data from the scheduling plan application module, and obtaining power grid model data and quota data from the safety verification application module. The system includes: a third data service unit for providing the scheduling planning application module with data services for obtaining analysis result data from the real-time monitoring and early warning application module, obtaining verification result data from the safety verification application module, and obtaining power grid model data and limit data from the scheduling management application module; and a fourth data service unit for providing the safety verification application module with data services for obtaining scheduling plan data from the scheduling planning application module, obtaining power grid model data and limit data from the scheduling management application module, and obtaining operating status data from the real-time monitoring and early warning application module. The real-time monitoring and early warning application module is used to monitor the operational status data of the offshore wind power grid in real time, and to provide safety early warnings for the offshore wind power grid based on the operational status data. The operational status data includes the operational status data of the offshore wind power grid under typhoon weather conditions. The safety verification application module is used to perform safety verification on the offshore wind power grid based on the operating status data, and obtain verification result data; The scheduling plan application module is used to generate scheduling plan data for the offshore wind power grid based on the operating status data and verification result data. The scheduling and management application module is used to perform power dispatching on the offshore wind power grid based on the scheduling plan data, so as to maintain the safe and stable operation of the offshore wind power grid under the typhoon weather conditions.

2. The offshore wind power safe operation system under typhoon conditions as described in claim 1, characterized in that, The real-time monitoring and early warning application module is specifically used for: The system acquires the operational status data, and uses the power grid model data and the quota data to perform a status analysis of the offshore wind power grid based on the operational status data and the power generation plan data. Based on the status analysis results, it provides a safety warning for the offshore wind power grid.

3. The offshore wind power safe operation system under typhoon conditions as described in claim 1, characterized in that, The scheduling management application module is specifically used for: Based on the scheduling plan data, verification result data, and status analysis results, the offshore wind power grid is scheduled and managed. The scheduling management includes scheduling operation management, scheduling plan management, relay protection management, power grid scheduling automation management, power communication management, and hydropower scheduling management.

4. The offshore wind power safe operation system under typhoon conditions as described in claim 1, characterized in that, The scheduling plan application module is specifically used for: Using the power grid model data and quota data, and based on the analysis results and verification results, the dispatch plan data for the offshore wind power grid is generated. The dispatch plan data includes maintenance plans, hydropower and new energy dispatch plans, and power generation plans.

5. The offshore wind power safe operation system under typhoon conditions as described in claim 1, characterized in that, The security verification application module is specifically used for: Using the power grid model data and limit data, and based on the scheduling plan data and operating status data, static safety verification, stability calculation verification, and stability margin verification are performed on the offshore wind power grid.

6. A method for safe operation of offshore wind power under typhoon conditions, characterized in that, include: The real-time monitoring and early warning application module monitors the operational status data of the offshore wind power grid in real time and provides safety early warnings based on the operational status data. The operational status data includes operational status data of the offshore wind power grid under typhoon weather conditions. The system includes: a first data service unit, used to provide the real-time monitoring and early warning application module with data services for obtaining dispatch planning data from the dispatch planning application module, and grid model data and quota data from the dispatch management application module. The dispatch planning application data includes power generation plan data, and the grid model data is constructed based on operational status data under various typhoon weather conditions; and a second data service unit, used to provide the dispatch management application module with data services for obtaining dispatch planning data from the dispatch planning application module. The system includes: a third data service unit, used to provide the scheduling planning application module with data services for obtaining analysis result data from the real-time monitoring and early warning application module, obtaining verification result data from the safety verification application module, and obtaining power grid model data and quota data from the scheduling management application module; and a fourth data service unit, used to provide the safety verification application module with data services for obtaining scheduling planning data from the scheduling planning application module, obtaining power grid model data and quota data from the scheduling management application module, and obtaining operating status data from the real-time monitoring and early warning application module. The offshore wind power grid is subjected to safety verification based on the operational status data by the safety verification application module, and the verification result data is obtained. The scheduling plan application module generates the scheduling plan data for the offshore wind power grid based on the operational status data and verification result data. Based on the scheduling plan data, the scheduling management application module performs power dispatching on the offshore wind power grid to maintain its safe and stable operation under typhoon weather conditions. The data service module provides data exchange services for the real-time monitoring and early warning application module, the security verification application module, the scheduling planning application module, and the scheduling management application module.

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