Comprehensive energy system operation optimization method and device

Abstract

The invention discloses an integrated energy system operation optimization method and device, and the method comprises the steps: obtaining a plurality of types of energy databases in an integrated energy library, generating primitive components of a related type model and a topological connection relation between the primitive components, forming a topological structure diagram of an integrated energy system, determining constraint conditions of the topological structure diagram of the integrated energy system; taking the minimum value of daily operation cost, the operation cost in a rolling time period, the minimum value of the sum of the output deviation punishment of equipment output in the rolling time period and day-ahead scheduling, and the minimum value of the deviation punishment of real-time equipment output and intra-day rolling equipment output as targets; and an MPC multi-scale optimization algorithm is adopted to solve and obtain operation parameters of each energy device scheduled in the day ahead, operation parameters of each energy device in a rolling period and real-time operation parameters of each energy device of the integrated energy system. The operation optimization difficulty of the comprehensive energy system can be reduced, and waste of various energy sources is reduced.

Description

Technical Field

[0001] This invention relates to the field of energy planning technology, and in particular to a method and apparatus for optimizing the operation of integrated energy systems. Background Technology

[0002] This section is intended to provide background or context for the embodiments of the invention set forth in the claims. The description herein is not an admission that it is prior art simply because it is included in this section.

[0003] Integrated energy systems involve the integration of multiple energy types (such as electricity, heat, gas, and cooling) and multiple energy systems (such as power systems, heating systems, and gas systems). This complexity makes system operation optimization exceptionally difficult. The complementarity, substitutability, and coupling relationships between different types of energy need to be fully considered to achieve comprehensive energy utilization and efficient allocation. The operation of an integrated energy system is a real-time and dynamic process. Factors such as load-side demand, energy-side capacity, energy prices, and weather conditions are constantly changing, placing higher demands on the system's real-time response and dynamic optimization capabilities. Existing technologies cannot automatically optimize the operation of integrated energy systems based on their topology, requiring customized development for different projects, which is highly challenging and leads to waste of various energy sources. Summary of the Invention

[0004] This invention provides a method for optimizing the operation of an integrated energy system, which reduces the difficulty of optimizing the operation of the integrated energy system and reduces the waste of various types of energy. The method includes:

[0005] Acquire multiple types of energy databases from the integrated energy database; the integrated energy database includes multiple types of energy databases: energy database, equipment database, and load database;

[0006] Based on each type of energy database, generate the primitive components of the relevant type model and the topological connections between the primitive components; the relevant type models include energy models, equipment models and load models; the primitive components of the relevant type models include: energy components, equipment components and load components;

[0007] Based on the primitive components and the topological connections between them, a topological structure diagram of the integrated energy system is formed.

[0008] Determine the constraints of the integrated energy system's topology diagram based on the integrated energy system's topology diagram;

[0009] Based on the constraints of the integrated energy system, with the objectives of minimizing daily operating costs, minimizing the sum of operating costs during the rolling period, minimizing the sum of the deviation penalties between the equipment output during the rolling period and the output of the day-ahead scheduling, and minimizing the deviation penalties between the real-time equipment output and the rolling equipment output within the day, the MPC multi-scale optimization algorithm is used to solve for the operating parameters of each energy device in the day-ahead scheduling, the operating parameters of each energy device during the rolling period, and the operating parameters of each energy device in real time.

[0010] This invention also provides an integrated energy system operation optimization device to reduce the difficulty of integrated energy system operation optimization and reduce the waste of various types of energy. The device includes:

[0011] An energy database acquisition module is used to acquire multiple types of energy databases from a comprehensive energy database; the comprehensive energy database includes multiple types of energy databases: energy database, equipment database, and load database.

[0012] The primitive component and topology connection relationship generation module is used to generate primitive components of related type models and the topology connection relationships between primitive components based on each type of energy database; the related type models include energy models, equipment models and load models; the primitive components of related type models include: energy components, equipment components and load components;

[0013] The topology diagram generation module is used to generate a topology diagram of the integrated energy system based on the primitive components and the topological connections between them.

[0014] The constraint determination module is used to determine the constraints of the topology diagram of the integrated energy system based on the topology diagram of the integrated energy system.

[0015] The integrated energy system operation scheme determination module is used to determine the operating parameters of each energy device in the integrated energy system based on the constraints of the integrated energy system. The objectives are to minimize the daily operating cost, the operating cost during the rolling period, the sum of the operating cost during the rolling period and the deviation penalty between the equipment output and the output of the day-ahead scheduling, and the deviation penalty between the real-time equipment output and the daily rolling equipment output. The module uses the MPC multi-scale optimization algorithm to solve for the operating parameters of each energy device in the day-ahead scheduling, the operating parameters of each energy device during the rolling period, and the real-time operating parameters of each energy device.

[0016] This invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the above-described integrated energy system operation optimization method.

[0017] This invention also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described integrated energy system operation optimization method.

[0018] This invention also provides a computer program product, which includes a computer program that, when executed by a processor, implements the above-described integrated energy system operation optimization method.

[0019] In this embodiment of the invention, multiple types of energy databases are acquired from a comprehensive energy database. The comprehensive energy database includes multiple types of energy databases: energy database, equipment database, and load database. Based on each type of energy database, primitive components of the relevant type model and the topological connections between these primitive components are generated. The relevant type models include energy models, equipment models, and load models. The primitive components of the relevant type models include energy components, equipment components, and load components. A topology diagram of the comprehensive energy system is formed based on the primitive components and the topological connections between them. The constraints of the comprehensive energy system's topology diagram are determined. Based on these constraints, with the objectives of minimizing daily operating costs, minimizing the sum of operating costs during rolling periods, minimizing the sum of penalties for deviations between equipment output during rolling periods and day-ahead scheduling, and minimizing the penalties for deviations between real-time equipment output and daily rolling equipment output, the MPC multi-scale optimization algorithm is used to solve for the operating parameters of each energy device during day-ahead scheduling, the operating parameters of each energy device during rolling periods, and the operating parameters of each energy device in real-time. In the above process, the embodiments of the present invention generate primitive components of related type models and topological connection relationships between primitive components based on data from multiple types of energy databases. Based on the topological structure diagram of the integrated energy system, the MPC multi-scale optimization algorithm can intuitively express the operation scheme of the integrated energy system, thereby reducing the difficulty of operation optimization of the integrated energy system and reducing the waste of various types of energy. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. In the drawings:

[0021] Figure 1 This is a flowchart of the integrated energy system operation optimization method in an embodiment of the present invention;

[0022] Figure 2This is a flowchart illustrating the topology of the integrated energy system in an embodiment of the present invention;

[0023] Figure 3 This is a schematic diagram illustrating the integrated energy system operation scheme obtained by solving the MPC multi-scale optimization algorithm in an embodiment of the present invention;

[0024] Figure 4 This is a schematic diagram of the integrated energy system operation optimization device in an embodiment of the present invention;

[0025] Figure 5 This is a schematic diagram of a computer device in an embodiment of the present invention. Detailed Implementation

[0026] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings. Here, the illustrative embodiments of the present invention and their descriptions are used to explain the present invention, but are not intended to limit the present invention.

[0027] The acquisition, storage, use, and processing of data in this application all comply with the relevant provisions of national laws and regulations.

[0028] Figure 1 This is a flowchart of a method for optimizing the operation of an integrated energy system according to an embodiment of the present invention. The method includes:

[0029] Step 101: Obtain multiple types of energy databases from the integrated energy database; the integrated energy database includes multiple types of energy databases: energy database, equipment database, and load database;

[0030] Step 102: Based on the energy database of each type, generate the primitive components of the relevant type model and the topological connection relationship between the primitive components; the relevant type model includes energy model, equipment model and load model; the primitive components of the relevant type model include: energy component, equipment component and load component;

[0031] Step 103: Based on the primitive components and the topological connections between them, a topological structure diagram of the integrated energy system is formed.

[0032] Step 104: Determine the constraints of the topology diagram of the integrated energy system based on the topology diagram of the integrated energy system.

[0033] Step 105: Based on the constraints of the integrated energy system, with the objectives of minimizing daily operating costs, minimizing the sum of operating costs during the rolling period, minimizing the penalty for deviation between equipment output during the rolling period and output during the day-ahead scheduling, and minimizing the penalty for deviation between real-time equipment output and daily rolling equipment output, the MPC (Model Predictive Control) multi-scale optimization algorithm is used to solve for the operating parameters of each energy device during the day-ahead scheduling, the operating parameters of each energy device during the rolling period, and the operating parameters of each energy device in real time.

[0034] Each step is explained in detail below.

[0035] In step 101, multiple types of energy databases are obtained from the integrated energy database; the integrated energy database includes multiple types of energy databases: energy database, equipment database and load database.

[0036] In a specific embodiment, various types of energy databases, including energy databases, equipment databases, and load databases, are created using predefined library templates.

[0037] In one embodiment, the energy database is used to store time-based price data for multiple types of energy, including electricity, natural gas, and diesel; the equipment database is used to store various types of equipment for energy production, energy transmission, energy conversion, and energy storage; and the load database is used to store multiple types of energy loads, including cooling, heating, electricity, and steam.

[0038] In step 102, based on the energy database of each type, the primitive components of the relevant type model and the topological connection relationship between the primitive components are generated; the relevant type model includes energy model, equipment model and load model; the primitive components of the relevant type model include: energy component, equipment component and load component.

[0039] Figure 2 This is a flowchart illustrating the topology diagram of an integrated energy system in an embodiment of the present invention. The topology diagram of the integrated energy system is formed based on the graphical components and the topological connections between them, including:

[0040] Step 201: Based on the primitive components and the topological connection relationships between them, determine the output anchor points and input anchor points of the same energy type, and establish the connection relationships between the output anchor points and input anchor points of the same energy type.

[0041] Step 202: Based on the connection relationship between the output anchor points and the input anchor points of the same energy type, a topology diagram of the integrated energy system is formed.

[0042] In a specific embodiment, energy libraries, equipment libraries, and load libraries are associated through graphical element components. Each graphical element component has a parameter configuration interface, allowing modification of corresponding configuration parameters. Graphical element components can be flexibly dragged, copied, and have their parameters modified. The inputs and outputs of each graphical element component represent the transmission of temperature, flow rate, and power for different devices; specifically, for electrical equipment, it transmits electrical power; for hot and cold ports, it transmits temperature and flow rate. The anchor points of graphical element components not only need to clearly define their input and output attributes but also the attributes of energy types such as cold, heat, electricity, and gas. Only output anchor points of the same energy type can be connected to input anchor points of the same energy type.

[0043] In step 103, a topology diagram of the integrated energy system is formed based on the primitive components and the topological connections between them.

[0044] In a specific embodiment, the topology diagram of the integrated energy system is formed by connecting energy components, equipment components, and load components. After forming the topology diagram of the integrated energy system, the topology diagram is detected and identified. The front-end topology detection and identification includes at least: equipment identification and equipment anchor point connection identification. The back-end optimization program identifies various energy sources, equipment, and loads by traversing the graphic elements in the topology diagram, and determines whether two anchor points are connected based on the positional relationship between them.

[0045] In step 104, the constraints of the topology diagram of the integrated energy system are determined based on the topology diagram of the integrated energy system.

[0046] In one embodiment, the constraints of the topology graph include: mass flow conservation constraints and energy conservation constraints.

[0047] In a specific embodiment, based on the primitive components (including energy components, equipment components, and load components), relevant types of models are automatically added, and the model parameters are initialized according to the parameters set in the primitive component settings interface. Different types of equipment transmit operating parameters at anchor points. For electrical equipment, the transmitted operating parameters are power; for heating and cooling equipment, they are mass flow rate and temperature. At the anchor point connection, it is stipulated that mass flow rate and power flowing into the anchor point are positive, and flowing out of the anchor point are negative; mass flow rate constraints and energy constraints are automatically added, with the total mass flow rate summing to 0 and the total heat flow rate summing to 0.

[0048] In step 105, based on the constraints of the integrated energy system, with the objectives of minimizing daily operating costs, minimizing the sum of operating costs during the rolling period, minimizing the sum of the deviation penalties between the equipment output during the rolling period and the output of the day-ahead scheduling, and minimizing the deviation penalties between the real-time equipment output and the rolling equipment output during the day, the MPC multi-scale optimization algorithm is used to solve for the operating parameters of each energy device in the day-ahead scheduling of the integrated energy system, the operating parameters of each energy device during the rolling period, and the operating parameters of each energy device in real time.

[0049] In a specific embodiment, before using the MPC multi-scale optimization algorithm to solve for the operating parameters of the integrated energy system, multi-time-scale source-load forecasting is performed: multi-time-scale load forecasting is conducted for various loads such as cooling, heating, and electricity; simultaneously, multi-time-scale capacity forecasting is conducted for production equipment related to meteorological conditions, such as photovoltaic, wind turbines, and air source heat pumps. Source-load data includes new energy forecast data, load forecast data, measured new energy data, and measured load data.

[0050] In the source-load forecasting process, for day-ahead scheduling, hourly loads and hourly heating, cooling, and power generation are predicted by combining 24-hour hourly weather forecasts and solar irradiance. For rolling scheduling, loads and heating, cooling, and power generation within a time segment are predicted by combining rolling time-segment weather forecasts, solar irradiance, and current operational data. For real-time optimized scheduling, source-load data for the next control cycle is predicted by combining current energy system operational data. Furthermore, the training and test sets are re-divided periodically for multi-time-scale source-load forecasting, and various prediction or fitting models are retrained. Model parameters or fitting coefficients are updated to improve the prediction accuracy and generalization ability of the prediction models.

[0051] Figure 3 This is a schematic diagram illustrating the integrated energy system operation scheme obtained by solving the MPC multi-scale optimization algorithm in an embodiment of the present invention. Figure 3 As shown in the specific embodiment, the multi-scale optimization is divided into three layers: the first layer is the day-ahead scheduling optimization, the second layer is the intraday rolling optimization, and the third layer is the real-time optimization.

[0052] The first layer is day-ahead scheduling optimization, with the optimization goal of minimizing daily operating costs; it involves determining the output and start / stop status of power supply, heating, and cooling equipment for the next 24 hours.

[0053] The second layer is intraday rolling optimization, with the optimization objective being to minimize the sum of operating costs and output deviation penalties from day-ahead scheduling within a given time period; to retain the start-up and shutdown status of units and the charging and discharging status of energy storage from day-ahead scheduling; and to determine the output and start-up / shutdown status of power supply, heating, and cooling equipment for future time segments (e.g., 4 hours).

[0054] The third layer is real-time optimization, with the goal of minimizing the sum of the output deviation penalties between the real-time source load forecast and the daily rolling scheduling. It involves developing heating, cooling, and power supply plans for the next 5 to 15 minutes.

[0055] To reduce computational load, energy flow can be used for the first and second layers; for the third layer, the heating and cooling equipment is modeled using heat flow, while the electrical equipment is modeled using energy flow.

[0056] In one embodiment, it further includes:

[0057] During the operation of the integrated energy system, the operating status and equipment operating parameters of the integrated energy system are monitored in real time. When an abnormal signal is detected, the graphic element components of the faulty equipment are isolated from the topology diagram and the topology diagram is updated.

[0058] In a specific embodiment, based on the updated topology diagram, operating status, and equipment operating parameters, an operation optimization strategy that meets the current requirements of the integrated energy system is formulated. The operation optimization program is executed in the background, and the operation optimization results are displayed in the form of curves. Real-time control commands for the next control cycle are sent to the PLC system to coordinate the specific execution of each energy device.

[0059] After obtaining the integrated energy system's operation plan, database tables corresponding to the graphical components are created based on the updated topology diagram to store operating and calculation parameters. This achieves automated and transparent database synchronization, allowing users to easily view and manage the database structure.

[0060] This invention also provides a device for optimizing the operation of an integrated energy system, as described in the following embodiments. Since the principle by which this device solves the problem is similar to that of the integrated energy system operation optimization method, the implementation of this device can refer to the implementation of the integrated energy system operation optimization method; repeated details will not be elaborated further.

[0061] Figure 4 This is a schematic diagram of an integrated energy system operation optimization device according to an embodiment of the present invention. The device includes:

[0062] The energy database acquisition module 401 is used to acquire multiple types of energy databases in the comprehensive energy database; the comprehensive energy database includes multiple types of energy databases: energy database, equipment database and load database.

[0063] The primitive component and topology connection relationship generation module 402 is used to generate primitive components of related type models and topology connection relationships between primitive components based on each type of energy database; the related type models include energy models, equipment models and load models; the primitive components of the related type models include: energy components, equipment components and load components;

[0064] The topology diagram generation module 403 is used to generate a topology diagram of the integrated energy system based on the primitive components and the topological connection relationships between the primitive components.

[0065] The constraint determination module 404 is used to determine the constraint conditions of the topology diagram of the integrated energy system based on the topology diagram of the integrated energy system.

[0066] The integrated energy system operation scheme determination module 405 is used to determine the operating parameters of each energy device in the integrated energy system based on the constraints of the integrated energy system, with the objectives of minimizing the daily operating cost, the minimum sum of the operating cost during the rolling period and the penalty for the deviation between the equipment output during the rolling period and the output of the day-ahead scheduling, and the minimum penalty for the deviation between the real-time equipment output and the rolling equipment output during the day. The MPC multi-scale optimization algorithm is used to solve for the operating parameters of each energy device in the day-ahead scheduling, the operating parameters of each energy device during the rolling period, and the real-time operating parameters of each energy device.

[0067] In one embodiment, the energy database is used to store time-based price data for multiple types of energy, including electricity, natural gas, and diesel; the equipment database is used to store various types of equipment for energy production, energy transmission, energy conversion, and energy storage; and the load database is used to store multiple types of energy loads, including cooling, heating, electricity, and steam.

[0068] In one embodiment, the topology diagram generation module 403 is specifically used for:

[0069] Based on the primitive components and the topological connections between them, determine the output anchor points and input anchor points of the same energy type, and establish the connection relationship between the output anchor points and input anchor points of the same energy type.

[0070] Based on the connection relationship between the output anchor point and the input anchor point of the same energy type, a topology diagram of the integrated energy system is formed.

[0071] In one embodiment, the constraints of the topology graph include: mass flow conservation constraints and energy conservation constraints.

[0072] In one embodiment, an abnormal signal detection module is further included, specifically for:

[0073] During the operation of the integrated energy system, the operating status and equipment operating parameters of the integrated energy system are monitored in real time. When an abnormal signal is detected, the graphic element components of the faulty equipment are isolated from the topology diagram and the topology diagram is updated.

[0074] This invention also provides a computer device. Figure 5 This is a schematic diagram of a computer device in an embodiment of the present invention. The computer device 500 includes a memory 510, a processor 520, and a computer program 530 stored in the memory 510 and executable on the processor 520. When the processor 520 executes the computer program 530, it implements the above-mentioned integrated energy system operation optimization method.

[0075] This invention also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described integrated energy system operation optimization method.

[0076] This invention also provides a computer program product, which includes a computer program that, when executed by a processor, implements the above-described integrated energy system operation optimization method.

[0077] In this embodiment of the invention, multiple types of energy databases are acquired from a comprehensive energy database. The comprehensive energy database includes multiple types of energy databases: energy database, equipment database, and load database. Based on each type of energy database, primitive components of the relevant type model and the topological connections between these primitive components are generated. The relevant type models include energy models, equipment models, and load models. The primitive components of the relevant type models include energy components, equipment components, and load components. A topology diagram of the comprehensive energy system is formed based on the primitive components and the topological connections between them. The constraints of the comprehensive energy system's topology diagram are determined. Based on these constraints, with the objectives of minimizing daily operating costs, minimizing the sum of operating costs during rolling periods, minimizing the sum of penalties for deviations between equipment output during rolling periods and day-ahead scheduling, and minimizing the penalties for deviations between real-time equipment output and daily rolling equipment output, the MPC multi-scale optimization algorithm is used to solve for the operating parameters of each energy device during day-ahead scheduling, the operating parameters of each energy device during rolling periods, and the operating parameters of each energy device in real-time. In the above process, the embodiments of the present invention generate primitive components of related type models and topological connection relationships between primitive components based on data from multiple types of energy databases. Based on the topological structure diagram of the integrated energy system, the MPC multi-scale optimization algorithm can intuitively express the operation scheme of the integrated energy system, thereby reducing the difficulty of operation optimization of the integrated energy system and reducing the waste of various types of energy.

[0078] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0079] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0080] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0081] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0082] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above descriptions are merely specific embodiments of the present invention and are not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for optimizing the operation of a comprehensive energy system, characterized in that, include: Acquire multiple types of energy databases from the integrated energy database; the integrated energy database includes multiple types of energy databases: energy database, equipment database, and load database; Based on each type of energy database, generate the primitive components of the relevant type model and the topological connection relationships between the primitive components; Related model types include energy models, equipment models, and load models; The primitive components of the relevant model types include: energy components, equipment components, and load components; Based on the primitive components and the topological connections between them, a topological structure diagram of the integrated energy system is formed. Determine the constraints of the integrated energy system based on its topology diagram. Based on the constraints of the integrated energy system, with the objectives of minimizing daily operating costs, minimizing the sum of operating costs during the rolling period, minimizing the sum of the deviation penalties between the equipment output during the rolling period and the output of the day-ahead scheduling, and minimizing the deviation penalties between the real-time equipment output and the rolling equipment output within the day, the MPC multi-scale optimization algorithm is used to solve for the operating parameters of each energy device in the day-ahead scheduling, the operating parameters of each energy device during the rolling period, and the operating parameters of each energy device in real time.

2. The method as described in claim 1, characterized in that, The energy database is used to store time-based price data for multiple types of energy, including electricity, natural gas, and diesel; the equipment database is used to store various types of equipment for energy production, energy transmission, energy conversion, and energy storage; and the load database is used to store multiple types of energy loads, including cooling, heating, electricity, and steam.

3. The method as described in claim 1, characterized in that, Based on the primitive components and the topological connections between them, a topological structure diagram of the integrated energy system is formed, including: Based on the primitive components and the topological connections between them, determine the output anchor points and input anchor points of the same energy type, and establish the connection relationship between the output anchor points and input anchor points of the same energy type. Based on the connection relationship between the output anchor point and the input anchor point of the same energy type, a topology diagram of the integrated energy system is formed.

4. The method as described in claim 1, characterized in that, The constraints of the topology diagram include: mass flow conservation constraints and energy conservation constraints.

5. The method as described in claim 1, characterized in that, Also includes: During the operation of the integrated energy system, the operating status and equipment operating parameters of the integrated energy system are monitored in real time. When an abnormal signal is detected, the graphic element components of the faulty equipment are isolated from the topology diagram and the topology diagram is updated.

6. A device for optimizing the operation of an integrated energy system, characterized in that, include: An energy database acquisition module is used to acquire multiple types of energy databases from a comprehensive energy database; the comprehensive energy database includes multiple types of energy databases: energy database, equipment database, and load database. The primitive component and topology connection relationship generation module is used to generate primitive components of relevant types of models and the topology connection relationships between primitive components based on each type of energy database. Related model types include energy models, equipment models, and load models; The primitive components of the relevant model types include: energy components, equipment components, and load components; The topology diagram generation module is used to generate a topology diagram of the integrated energy system based on the primitive components and the topological connections between them. The constraint determination module is used to determine the constraints of the topology diagram of the integrated energy system based on the topology diagram of the integrated energy system. The integrated energy system operation scheme determination module is used to determine the operating parameters of each energy device in the integrated energy system based on the constraints of the integrated energy system. The objectives are to minimize the daily operating cost, the operating cost during the rolling period, the sum of the operating cost during the rolling period and the deviation penalty between the equipment output and the output of the day-ahead scheduling, and the deviation penalty between the real-time equipment output and the daily rolling equipment output. The module uses the MPC multi-scale optimization algorithm to solve for the operating parameters of each energy device in the day-ahead scheduling, the operating parameters of each energy device during the rolling period, and the real-time operating parameters of each energy device.

7. The apparatus as claimed in claim 6, characterized in that, The energy database is used to store time-based price data for multiple types of energy, including electricity, natural gas, and diesel; the equipment database is used to store various types of equipment for energy production, energy transmission, energy conversion, and energy storage; and the load database is used to store multiple types of energy loads, including cooling, heating, electricity, and steam.

8. The apparatus as claimed in claim 6, characterized in that, The topology diagram generation module is specifically used for: Based on the primitive components and the topological connections between them, determine the output anchor points and input anchor points of the same energy type, and establish the connection relationship between the output anchor points and input anchor points of the same energy type. Based on the connection relationship between the output anchor point and the input anchor point of the same energy type, a topology diagram of the integrated energy system is formed.

9. The apparatus as claimed in claim 6, characterized in that, The constraints of the topology diagram include: mass flow conservation constraints and energy conservation constraints.

10. The apparatus as claimed in claim 6, characterized in that, It also includes an abnormal signal detection module, specifically used for: During the operation of the integrated energy system, the operating status and equipment operating parameters of the integrated energy system are monitored in real time. When an abnormal signal is detected, the graphic element components of the faulty equipment are isolated from the topology diagram and the topology diagram is updated.

11. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method of any one of claims 1 to 5.

12. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the method of any one of claims 1 to 5.

13. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the method of any one of claims 1 to 5.

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