Intelligent energy system construction method based on element universe

Abstract

The invention relates to the technical field of energy, in particular to an intelligent energy system construction method based on the universe. Comprising the steps of constructing a virtual energy system based on structural features and energy features of an actual energy system in a meta universe; according to the operation condition corresponding to the actual energy system, performing a steady state test on the virtual energy system to obtain operation parameters of the virtual energy system; according to the operation parameters of the virtual energy system, determining an expected fault point corresponding to the actual energy system; and adjusting the actual energy system according to the expected fault point.

Description

Technical Field

[0001] The present application relates to the field of energy technology, and in particular to a method for constructing an intelligent energy system based on the metaverse. Background Art

[0002] The Integrated Smart Energy System (ISES) is a complex and advanced energy system that integrates multiple energy forms (such as electricity, heat, cold energy, natural gas, etc.) and achieves coordinated planning, optimized operation, collaborative management and interactive response among these energy subsystems through advanced physical information technology and innovative management models.

[0003] The existing ISES steady-state evaluation mainly establishes a coupling relationship model between the subsystems by modeling the steady-state components of the integrated smart energy system (such as the power system, thermal system, gas system, etc.). The model can be used to analyze the operating status and performance parameters of the system in a steady state. Then, the system model is simulated and calculated using simulation software to simulate the operating status of the system under different working conditions. The simulation results can be used to evaluate the steady-state performance of the system, such as energy conversion efficiency, supply and demand balance, system stability, etc.

[0004] However, after the above steady-state model is constructed, it is difficult to adjust the integrated smart energy system according to the management strategy of the management method, so it is urgently needed to be improved. Summary of the invention

[0005] Based on this, it is necessary to provide a method for building a metaverse-based intelligent energy system that can facilitate the adjustment of the integrated intelligent energy system in response to the above-mentioned technical problems.

[0006] In a first aspect, the present application provides a method for constructing a smart energy system based on the metaverse, comprising: In the metaverse, a virtual energy system is constructed based on the structural and energy characteristics of the actual energy system; According to the operating conditions corresponding to the actual energy system, a steady-state test is performed on the virtual energy system to obtain the operating parameters of the virtual energy system; According to the operating parameters of the virtual energy system, the expected failure points corresponding to the actual energy system are determined; Adjust the actual energy system according to the expected failure points.

[0007] In one embodiment, the structural features include the geographical distribution, equipment location, and transmission line direction of the actual energy system; the various equipment and facilities that constitute the actual energy system, such as power generation equipment, energy storage devices, transmission equipment, and control systems; the hierarchical structure of the actual energy system; the physical connection and information interaction methods between the components in the actual energy system; wherein the hierarchical structure includes subsystem division, functional module organization, and the interfaces and interaction methods between them.

[0008] In one embodiment, the energy characteristics include the type of energy used in the actual energy system; the direction and path of energy flow within the actual energy system; and the loss of energy in the actual energy system during the conversion process.

[0009] In one embodiment, in the metaverse, a virtual energy system is constructed based on the structural characteristics and energy characteristics of the actual energy system, including: Use 3D modeling tools to build a virtual foundation system based on structural features; Based on the energy characteristics, the virtual basic system is configured; For the configured virtual basic system, an interactive configuration interface is added to obtain a virtual energy system.

[0010] In one embodiment, the method further comprises: Obtaining operation constraints corresponding to the actual energy system; the operation constraints include at least one of energy demand, equipment status, environmental conditions, transmission capacity conditions, and transmission capability conditions; Determine the limit test conditions according to the operating constraints; According to the extreme test conditions, determine the corresponding operating conditions of the actual energy system.

[0011] In one embodiment, a steady-state test is performed on the virtual energy system according to the operating conditions corresponding to the actual energy system to obtain the operating parameters of the virtual energy system, including: Determine the test time and test frequency corresponding to the operating conditions corresponding to the actual energy system; According to the test time and the test frequency, a steady-state test is performed on the virtual energy system to obtain output parameters of the virtual energy system model; wherein the output parameters include at least one of load response, energy supply stability and equipment load rate; When the output parameters reach stable conditions, the output parameters are used as operating parameters of the virtual energy system.

[0012] In one embodiment, determining the expected failure point corresponding to the actual energy system according to the operating parameters of the virtual energy system includes: According to the operating parameters of the virtual energy system, the mechanical failure dimension, electrical failure dimension, control system failure dimension, energy conversion system dimension, communication network dimension, algorithm dimension, environmental factor dimension and human operation dimension of the actual energy system are checked to obtain the expected failure points corresponding to the actual energy system.

[0013] In one embodiment, the actual energy system is adjusted according to the expected failure point, including: Determine the fault impact scope, fault duration events and fault level of the expected fault point; Determine the adjustment method, adjustment steps, adjustment time and required resources for the actual energy system based on the fault impact scope, fault duration and fault level; Generate an automated adjustment strategy based on the adjustment method, adjustment steps, adjustment time and required resources of the actual energy system; The actual energy system is adjusted according to the automated adjustment strategy.

[0014] In one embodiment, adjusting the actual energy system according to the automated adjustment strategy includes: Obtain manual adjustment strategies from the interactive configuration interface; The actual energy system is adjusted according to manual adjustment strategies and automated adjustment strategies.

[0015] In a second aspect, the present application also provides a device for constructing a smart energy system based on the metaverse, comprising: In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented: The metaverse construction module is used to construct a virtual energy system in the metaverse based on the structural characteristics and energy characteristics of the actual energy system; A test module is used to perform a steady-state test on the virtual energy system according to the operating conditions corresponding to the actual energy system to obtain the operating parameters of the virtual energy system; A fault troubleshooting module is used to determine the expected fault points corresponding to the actual energy system based on the operating parameters of the virtual energy system; The adjustment module is used to adjust the actual energy system according to the expected fault points. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments of the present application or the related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 It is a flowchart of a method for constructing a smart energy system based on the metaverse in one embodiment; Figure 2 A flowchart of steps for constructing a virtual energy system in one embodiment; Figure 3 A schematic diagram of a flow chart for constructing steps for determining operating conditions corresponding to an actual energy system in an embodiment; Figure 4 It is a flowchart of the steps of using the output parameters as the operation parameters of the virtual energy system in one embodiment; Figure 5 A schematic diagram of a flow chart of steps for adjusting an actual energy system in one embodiment; Figure 6 A schematic diagram of a device for constructing a smart energy system based on the metaverse in one embodiment. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0019] In an exemplary embodiment, Figure 1 As shown, a method for constructing a smart energy system based on the metaverse is provided, including the following S101 to S104; wherein: S101, in the metaverse, a virtual energy system is constructed based on the structural characteristics and energy characteristics of the actual energy system.

[0020] Specifically, detailed data of the actual energy system is collected, including but not limited to energy types (such as coal, natural gas, renewable energy, etc.), equipment parameters (such as generator capacity, transformer specifications, etc.), network layout (such as transmission lines, distribution networks, etc.), and historical operation data. Using 3D modeling technology, a virtual model of the actual energy system is created in the metaverse. This includes building energy production facilities (such as power plants), transmission networks (such as high-voltage transmission lines), distribution networks (such as distribution transformers and low-voltage lines), and end users (such as residential, commercial, and industrial users). The energy characteristics of the actual energy system are mapped into the virtual energy system. This includes the production, transmission, distribution, and consumption processes of energy, as well as related energy conversion and storage technologies.

[0021] In the Metaverse environment, a preliminary simulation test of the virtual energy system is carried out to ensure that it can simulate the basic behaviors and characteristics of the actual energy system. This includes aspects such as energy flow, device interaction, and network constraints. A virtual energy system that is highly similar to the actual energy system in terms of structural characteristics and energy characteristics is used for subsequent steady-state testing, fault prediction, and system optimization.

[0022] S102, performing a steady-state test on the virtual energy system according to the operating conditions corresponding to the actual energy system to obtain operating parameters of the virtual energy system.

[0023] Among them, the operating conditions of the virtual energy system are set according to the historical operating data or current operating status of the actual energy system. This includes load demand, energy production, equipment status, network constraints, etc. In the metaverse environment, configure the test environment of the virtual energy system. Ensure that all necessary equipment and network components are properly connected and that the test environment matches the operating environment of the actual energy system. Perform steady-state testing on the virtual energy system under the set operating conditions. Observe and record the response and performance indicators of the system under steady-state conditions, such as voltage, current, power, energy efficiency, etc. Extract operating parameters from the steady-state test of the virtual energy system. These parameters should cover all aspects of the system, including energy production, transmission, distribution and consumption processes, as well as the operating status and performance of the equipment. Analyze the collected operating parameters to verify whether the behavior of the virtual energy system under steady-state conditions is consistent with the actual energy system. Identify any deviations or anomalies and make necessary adjustments to ensure the accuracy of the test. The operating parameters of the virtual energy system under steady-state conditions include key indicators such as voltage, current, power, and energy efficiency. These parameters will be used for subsequent system analysis, fault prediction, and optimization work.

[0024] S103: Determine the expected failure point corresponding to the actual energy system according to the operating parameters of the virtual energy system.

[0025] Specifically, analyze the operating parameters of the virtual energy system during steady-state testing, including key indicators such as voltage, current, power, and energy efficiency. Identify any parameters that are abnormal or deviate from the normal operating range, which may be an indication of potential failure points in the actual energy system. Match the abnormal parameters in the virtual energy system with common failure modes in the actual energy system. Use expert systems, machine learning algorithms, or historical failure data to assist in identifying potential failure points.

[0026] Based on the abnormal parameters and fault mode identification results, determine the corresponding expected fault points in the actual energy system. These fault points may include overloaded equipment, aging components, unstable network connections, etc. Evaluate the impact of expected fault points on the actual energy system, including the possible scope of power outages, energy losses, equipment damage, etc. Determine the priority of faults so that they can be given priority in the maintenance and optimization of the actual energy system.

[0027] S104, adjusting the actual energy system according to the expected failure point.

[0028] Specifically, develop a detailed adjustment plan based on the expected failure points and their potential impacts. The plan should include specific measures such as maintenance, repair, replacement of equipment, or adjustment of operation strategies. Evaluate the resources required for the adjustment plan, including human, material, and financial resources. Ensure that resources are sufficient and reasonably allocated to support the implementation of the adjustment plan.

[0029] The above-mentioned method for constructing a smart energy system based on the metaverse, by constructing a virtual energy system in the metaverse, engineers and designers can comprehensively test and optimize it without interfering with the operation of the actual energy system. This greatly shortens the design cycle of the energy system and reduces the design cost. Steady-state testing can reveal the performance of the virtual energy system under different operating conditions, thereby helping to identify potential failure points in the actual energy system. This enables engineers to take measures in advance to prevent the occurrence of actual failures and significantly improve the reliability and stability of the energy system. By analyzing the operating parameters of the virtual energy system, the expected failure points that may occur in the actual energy system can be determined. This enables the maintenance team to formulate maintenance plans in advance and implement preventive maintenance, thereby reducing downtime and maintenance costs caused by sudden failures. The operating parameters of the virtual energy system can provide an important reference for the energy utilization of the actual energy system. By adjusting the operating strategy of the actual energy system, energy distribution can be optimized, energy utilization efficiency can be improved, and the technical effect of facilitating the adjustment of the smart energy system can be achieved.

[0030] In one embodiment, the structural features include the geographical distribution, equipment location, and transmission line direction of the actual energy system; the various equipment and facilities that constitute the actual energy system, such as power generation equipment, energy storage devices, transmission equipment, and control systems; the hierarchical structure of the actual energy system; the physical connection and information interaction methods between the components in the actual energy system; wherein the hierarchical structure includes subsystem division, functional module organization, and the interfaces and interaction methods between them.

[0031] It is understandable that the geographical location of the actual energy system, including the distribution of power plants, energy storage facilities, transmission lines and end users. The specific location of the equipment in the geographic space, as well as the direction and layout of the transmission lines. The various equipment and facilities that make up the actual energy system: power generation equipment, such as thermal generators, wind turbines, solar photovoltaic panels, etc. Energy storage devices, such as battery energy storage systems, pumped storage power stations, etc. Transmission equipment, such as high-voltage transmission lines, transformers, distribution equipment, etc. Control systems, including energy management systems, monitoring and control systems, etc.

[0032] The hierarchical structure of the actual energy system: the division of subsystems, such as power generation subsystem, transmission subsystem, distribution subsystem, etc. The organization of functional modules, such as energy production module, energy transmission module, energy distribution module, etc. The interfaces and interaction methods between subsystems and functional modules ensure the overall coordination and efficient operation of the energy system.

[0033] Physical connections and information exchange methods between components: Physical connections between components, such as cables, pipes, mechanical connections, etc. Information exchange methods, including sensors, communication networks, data transmission protocols, etc., are used to realize the monitoring and control of energy systems.

[0034] Furthermore, energy characteristics include the types of energy used in the actual energy system; the direction and path of energy flow within the actual energy system; and the loss of energy in the actual energy system during the conversion process.

[0035] It is understandable that the types of energy used in actual energy systems: the types of energy used, such as coal, natural gas, nuclear energy, renewable energy (wind energy, solar energy), etc. The direction and path of energy flow within the actual energy system: the complete path of energy from production to transmission, distribution and consumption. The direction of energy flow within the system, including forward flow (from production to consumption) and possible reverse flow (such as charging and discharging of energy storage systems). The loss of energy in the conversion process in the actual energy system: the loss of energy in the conversion process, such as heat loss in the power generation process, electrical energy loss in the transmission process, etc. Quantitative data on loss conditions are used to evaluate the efficiency and performance of energy systems.

[0036] Further, such as Figure 2As shown, in the metaverse, based on the structural characteristics and energy characteristics of the actual energy system, a virtual energy system is constructed, including: S201, using 3D modeling tools, build a virtual foundation system based on structural characteristics.

[0037] First, select a 3D modeling tool suitable for building a virtual energy system. The tool should have the ability to create complex 3D models, perform spatial layout, and simulate actual system behavior. Collect structural feature data from the actual energy system, including geographical distribution, equipment location, transmission line direction, and specific information on the various equipment and facilities that make up the system. Use the 3D modeling tool to build a virtual basic system based on the collected structural feature data. This includes creating 3D models of power generation equipment, energy storage devices, transmission equipment, and control systems in a virtual environment, and arranging and connecting them according to the actual layout.

[0038] S202: Configure the virtual basic system based on the energy characteristics.

[0039] Specifically, collect energy characteristic data: Collect energy characteristic data from the actual energy system, including the type of energy used, the direction and path of energy flow within the system, and the loss of energy during the conversion process. Configure the virtual basic system based on the collected energy characteristic data. This includes setting the energy type in the virtual system, defining the flow path and direction of energy, and simulating the loss of energy during the conversion process. By comparing with the data of the actual energy system, verify the accuracy of the configuration of the virtual basic system to ensure that the virtual system can accurately reflect the energy characteristics of the actual energy system.

[0040] S203, adding an interactive configuration interface to the configured virtual basic system to obtain a virtual energy system.

[0041] Specifically, an interactive configuration interface is designed for the configured virtual basic system. The interface should provide a user-friendly operation mode, allowing users to monitor, control and adjust the virtual energy system. Interactive functions are implemented in the virtual basic system, including real-time data display, alarm notification, remote control, etc. These functions should correspond to the monitoring and control functions of the actual energy system. The virtual energy system is tested to ensure that all interactive functions work properly, and necessary optimization and adjustment are performed based on the test results. After testing and optimization, the final virtual energy system is obtained, which should be able to accurately reflect the structural characteristics and energy characteristics of the actual energy system and provide a user-friendly interactive configuration interface.

[0042] In one embodiment, Figure 3 As shown, the method also includes: S301, obtaining operation constraints corresponding to the actual energy system.

[0043] The operation constraint condition includes at least one of energy demand, equipment status, environmental conditions, transmission capacity conditions and transmission capability conditions.

[0044] Energy demand: The energy demand that needs to be met by the actual energy system, including total demand, demand fluctuations, peak demand, etc. Equipment status: The operating status of the equipment in the actual energy system, including normal operation, maintenance status, fault status, etc. Environmental conditions: External environmental conditions that affect the operation of the actual energy system, such as weather, temperature, humidity, etc. Transmission capacity conditions: The capacity limitations of the transmission lines in the actual energy system, including maximum transmission power, current limit, etc. Transmission capacity conditions: The transmission capacity of the equipment in the actual energy system, including the output power of the generator, the transformation ratio of the transformer, etc.

[0045] S302: Determine the limit test condition according to the operation constraint condition.

[0046] Analyze constraints: Analyze the collected operating constraints in detail to determine which conditions have the greatest impact on the operation of the system. Determine limit values: Determine the limit values ​​of each key constraint, such as maximum energy demand, worst equipment status, most unfavorable environmental conditions, etc. Combine limit conditions: Combine the limit values ​​of each constraint to form one or more sets of limit test conditions for testing the limit performance of the virtual energy system.

[0047] S303: Determine the operating conditions corresponding to the actual energy system according to the extreme test conditions.

[0048] From the historical operating data of the actual energy system, select the operating conditions that match the extreme test conditions. If necessary, adjust the parameters of the selected operating conditions to ensure that they are completely consistent with the extreme test conditions. After adjustment, determine the final operating conditions for the steady-state test of the virtual energy system.

[0049] Furthermore, according to the operating conditions corresponding to the actual energy system, a steady-state test is performed on the virtual energy system to obtain the operating parameters of the virtual energy system, including: S401, determining the test time and test frequency corresponding to the operating conditions corresponding to the actual energy system.

[0050] Specifically, the operating conditions of the actual energy system are analyzed in detail to understand its characteristics, periodicity, and changing patterns. According to the characteristics of the operating conditions, the duration of the steady-state test of the virtual energy system is determined to ensure that the test can cover the main characteristics of the conditions. The frequency of the test is determined, that is, how often the test is performed to ensure that sufficient data can be obtained to evaluate the performance of the virtual energy system.

[0051] S402, performing a steady-state test on the virtual energy system according to the test time and the test frequency to obtain output parameters of the virtual energy system model.

[0052] The output parameters include at least one of load response, energy supply stability and equipment load rate.

[0053] Specifically, according to the determined test time and frequency, the virtual energy system is tested in a steady state to simulate its behavior under actual operating conditions. During the test, the output parameters of the virtual energy system are collected, including load response, energy supply stability, and equipment load rate.

[0054] S403: When the output parameters reach a stable condition, the output parameters are used as operating parameters of the virtual energy system.

[0055] Specifically, the collected output parameters are analyzed to determine whether they have reached the stable condition, that is, whether the parameter value remains relatively stable within a certain period of time. If the output parameter reaches the stable condition, it is used as the operating parameter of the virtual energy system to describe the performance of the system under the operating condition. The operating parameters are output in the form of reports or charts so that users can understand the performance of the virtual energy system under different operating conditions.

[0056] In one embodiment, the expected failure points corresponding to the actual energy system are determined according to the operating parameters of the virtual energy system, including: according to the operating parameters of the virtual energy system, the mechanical failure dimension, electrical failure dimension, control system failure dimension, energy conversion system dimension, communication network dimension, algorithm dimension, environmental factor dimension and human operation dimension of the actual energy system are checked to obtain the expected failure points corresponding to the actual energy system.

[0057] Understandably, Mechanical failure dimension troubleshooting: Analyze the operating parameters related to mechanical equipment in the virtual energy system, such as vibration, temperature, pressure, etc. Compare the historical failure data of mechanical equipment in the actual energy system to identify potential mechanical failure points.

[0058] Electrical fault dimension troubleshooting: Check the electrical parameters of the virtual energy system, such as current, voltage, power factor, etc. Combined with the electrical layout of the actual energy system and historical fault records, analyze possible electrical fault points.

[0059] Control system fault dimension troubleshooting: Evaluate the stability and responsiveness of the control system in the virtual energy system. Identify possible control problems in the actual energy system by simulating control system faults.

[0060] Energy conversion system dimension troubleshooting: Analyze the energy conversion efficiency and related parameters in the virtual energy system. Compare the performance of energy conversion equipment in the actual energy system and predict possible failure points.

[0061] Communication network dimension inspection: Check the parameters such as delay and packet loss rate of the communication network in the virtual energy system. Combined with the communication network architecture of the actual energy system, analyze potential communication failure points.

[0062] Algorithm dimension investigation: Evaluate the effectiveness and accuracy of the algorithms used in the virtual energy system.

[0063] Through algorithm simulation and testing, possible algorithm failures in actual energy systems are identified.

[0064] Environmental factor dimension investigation: Analyze the operating parameters of the virtual energy system under different environmental conditions. Combined with the environmental conditions of the actual energy system, predict potential failure points caused by environmental factors.

[0065] Troubleshooting in the human operation dimension: simulate human operations in the virtual energy system, such as equipment start, stop, and adjustment. By analyzing parameter changes during the operation, identify the fault points in the actual energy system that may be caused by human operations.

[0066] In one embodiment, Figure 5 As shown, the actual energy system is adjusted according to the expected failure point, including: S501, determine the fault impact range, fault duration event and fault level of the expected fault point.

[0067] Specifically, analyze the system parts or equipment that the expected failure point may affect, including direct and indirect effects. Predict the possible length of time from the occurrence of the failure to its resolution. Assess the severity of the failure, which is usually divided into minor, moderate and severe levels.

[0068] S502, determining the adjustment method, adjustment steps, adjustment time and resources required for the actual energy system according to the fault impact scope, fault duration and fault level.

[0069] Select appropriate adjustment methods, such as replacing components, modifying configurations, or optimizing algorithms. Develop detailed adjustment steps to ensure that the adjustment process is carried out in an orderly manner. Arrange a timetable for the adjustment to reduce interference with system operations. Determine the human, material, and financial resources required.

[0070] S503, generating an automated adjustment strategy according to the actual energy system adjustment method, adjustment steps, adjustment time and resources required for adjustment.

[0071] Use automation tools and techniques to generate strategies that can automatically perform the adjustment steps. Verify the effectiveness and feasibility of the automated adjustment strategy in the virtual energy system.

[0072] S504: Adjust the actual energy system according to the automation adjustment strategy.

[0073] Specifically, adjusting the actual energy system according to the automated adjustment strategy includes: obtaining the manual adjustment strategy from the interactive configuration interface. Adjusting the actual energy system according to the manual adjustment strategy and the automated adjustment strategy. Obtaining the manually formulated adjustment strategy from the interactive configuration interface to ensure the coordinated work of the manual and automated strategies. Combining the manual adjustment strategy with the automated adjustment strategy to form a final adjustment plan. According to the final adjustment plan, making necessary adjustments to the actual energy system.

[0074] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0075] Based on the same inventive concept, the embodiment of the present application also provides a metaverse-based smart energy system construction device for implementing the metaverse-based smart energy system construction method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more metaverse-based smart energy system construction device embodiments provided below can refer to the limitations of the metaverse-based smart energy system construction method above, and will not be repeated here.

[0076] In an exemplary embodiment, Figure 6 As shown, a device for constructing a smart energy system based on the metaverse is provided, comprising: The metaverse construction module 11 is used to construct a virtual energy system in the metaverse based on the structural characteristics and energy characteristics of the actual energy system; The test module 12 is used to perform a steady-state test on the virtual energy system according to the operating conditions corresponding to the actual energy system to obtain the operating parameters of the virtual energy system; A fault troubleshooting module 13 is used to determine the expected fault point corresponding to the actual energy system according to the operating parameters of the virtual energy system; The adjustment module 14 is used to adjust the actual energy system according to the expected fault point.

[0077] Each module in the above-mentioned intelligent energy system construction device based on the Metaverse can be implemented in whole or in part through software, hardware and their combination. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of each of the above modules.

[0078] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0079] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for constructing an intelligent energy system based on the metaverse, characterized in that: The method comprises: In the metaverse, the structural characteristics and energy characteristics of the actual energy system are obtained; wherein the structural characteristics include the geographical distribution, equipment location, and transmission line direction of the actual energy system; the various equipment and facilities that constitute the actual energy system, such as power generation equipment, energy storage devices, transmission equipment, and control systems; the hierarchical structure of the actual energy system; the physical connection and information interaction between the components in the actual energy system; wherein the hierarchical structure includes subsystem division, functional module organization, and the interface and interaction between them; the energy characteristics include the type of energy used in the actual energy system; the flow direction and path of energy within the actual energy system; and the loss of energy in the actual energy system during the conversion process; Using a three-dimensional modeling tool, a virtual foundation system is constructed according to the structural features; configuring the virtual basic system based on the energy characteristics; For the configured virtual basic system, an interactive configuration interface is added to obtain a virtual energy system; According to the operating conditions corresponding to the actual energy system, a steady-state test is performed on the virtual energy system to obtain operating parameters of the virtual energy system; According to the operating parameters of the virtual energy system, the mechanical fault dimension, electrical fault dimension, control system fault dimension, energy conversion system dimension, communication network dimension, algorithm dimension, environmental factor dimension and human operation dimension of the actual energy system are checked to obtain the expected fault point corresponding to the actual energy system; The actual energy system is adjusted according to the expected failure point.

2. The method according to claim 1, characterized in that The method further comprises: Acquire operation constraints corresponding to the actual energy system; the operation constraints include at least one of energy demand, equipment status, environmental conditions, transmission capacity conditions and transmission capability conditions; Determining limit test conditions according to the operating constraints; According to the extreme test conditions, the operating conditions corresponding to the actual energy system are determined.

3. The method according to claim 2, characterized in that The step of performing a steady-state test on the virtual energy system according to the operating conditions corresponding to the actual energy system to obtain operating parameters of the virtual energy system includes: Determine the test time and test frequency corresponding to the operating conditions corresponding to the actual energy system; According to the test time and the test frequency, a steady-state test is performed on the virtual energy system to obtain output parameters of the virtual energy system model; wherein the output parameters include at least one of load response, energy supply stability and equipment load rate; When the output parameter reaches a stable condition, the output parameter is used as an operating parameter of the virtual energy system.

4. The method according to claim 1, characterized in that: The adjusting the actual energy system according to the expected failure point includes: Determine the fault impact range, fault duration event and fault level of the expected fault point; Determine the adjustment method, adjustment steps, adjustment time and required resources for the actual energy system according to the fault impact scope, fault duration event and fault level; Generate an automated adjustment strategy according to the adjustment method, adjustment steps, adjustment time and resources required for the actual energy system; The actual energy system is adjusted according to the automatic adjustment strategy.

5. The method according to claim 4, characterized in that The step of adjusting the actual energy system according to the automatic adjustment strategy includes: Acquire a manual adjustment strategy from the interactive configuration interface; The actual energy system is adjusted according to the manual adjustment strategy and the automatic adjustment strategy.

6. A device for constructing a smart energy system based on the metaverse, characterized in that: The device comprises: A metaverse construction module is used to obtain the structural characteristics and energy characteristics of the actual energy system in the metaverse; wherein the structural characteristics include the geographical distribution, equipment location, and transmission line direction of the actual energy system; various equipment and facilities that constitute the actual energy system, such as power generation equipment, energy storage devices, transmission equipment, and control systems; the hierarchical structure of the actual energy system; the physical connection and information interaction between the components in the actual energy system; wherein the hierarchical structure includes subsystem division, functional module organization, and the interface and interaction between them; energy characteristics include the type of energy used in the actual energy system; the flow direction and path of energy within the actual energy system; and the loss of energy in the actual energy system during the conversion process; Using a three-dimensional modeling tool, a virtual foundation system is constructed according to the structural features; configuring the virtual basic system based on the energy characteristics; For the configured virtual basic system, an interactive configuration interface is added to obtain a virtual energy system; A testing module, used to perform a steady-state test on the virtual energy system according to the operating conditions corresponding to the actual energy system, and obtain operating parameters of the virtual energy system; A fault troubleshooting module is used to troubleshoot the mechanical fault dimension, electrical fault dimension, control system fault dimension, energy conversion system dimension, communication network dimension, algorithm dimension, environmental factor dimension and human operation dimension of the actual energy system according to the operating parameters of the virtual energy system, and obtain the expected fault point corresponding to the actual energy system; An adjustment module is used to adjust the actual energy system according to the expected fault point.

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