Method and system for evaluating capability of integrated energy system

Abstract

The invention discloses a method and system for evaluating the capability of an integrated energy system, and belongs to the technical field of integrated energy systems. The method comprises the steps of determining a feasible region of an external power demand and a fluctuation range of a multi-element load based on operation data, and determining a value of the flexibility of the integrated energy system based on the feasible region and the fluctuation range; constructing a training set and a verification set according to the feasible region, the fluctuation range and the evaluation index corresponding to the integrated energy system, and training according to the training set and the verification set to obtain an evaluation model; and based on the evaluation model, determining an evaluation index of the target integrated energy system under the target application scene operation strategy, and based on the evaluation index, determining the system capability of the target integrated energy system. According to the method, the evaluation model is built, effective capability evaluation can be carried out on different scene systems by applying the evaluation model, calculation is simple, and the accuracy is high.

Description

Technical Field

[0001] The present invention relates to the technical field of integrated energy systems, and more specifically, to an evaluation method and system for integrated energy system capabilities. Background Art

[0002] At present, the research on the overall capacity of the integrated energy system is all based on the evaluation of individual systems. Therefore, when facing different scenario systems, a large amount of calculation is required to determine the system. The steps are cumbersome and waste manpower and material resources. Because of this, the appropriate operation mode cannot be selected during the operation of the system, resulting in the inability to maximize its capabilities and a waste of resources. Summary of the invention

[0003] In view of the above problems, the present invention proposes a method for evaluating the capability of an integrated energy system, comprising:

[0004] For the integrated energy system, the operation data of the integrated energy system under different application scenario operation strategies are obtained, and based on the operation data, the feasible domain of external power demand and the fluctuation range of multiple loads are determined, and based on the feasible domain and the fluctuation range, the flexibility value of the integrated energy system is determined;

[0005] The flexibility value of the integrated energy system is used as an evaluation index for evaluating the capability of the integrated energy system, and a training set and a validation set are constructed based on the feasible domain, fluctuation range and evaluation index corresponding to the integrated energy system, and an evaluation model is obtained by training the training set and the validation set;

[0006] Based on the evaluation model, the evaluation index of the target integrated energy system under the target application scenario operation strategy is determined, and based on the evaluation index, the system capacity of the target integrated energy system is determined.

[0007] Optionally, determine the feasible domain of external power demand and the fluctuation range of multiple loads, including:

[0008] The upper and lower targets for external power demand of the integrated energy system under different application scenario operation strategies are determined, and the interval formed by the upper and lower targets is used as the feasible domain for external power demand.

[0009] Optionally, determining the value of the flexibility of the integrated energy system based on the feasible domain and the fluctuation range includes:

[0010] Based on the feasible domain and the fluctuation range, a calculation model is established, an optimal solution is obtained for the calculation model, and based on the optimal solution, a value of the flexibility of the integrated energy system is determined;

[0011] The calculation model includes: an objective function and constraints;

[0012] The objective function takes the maximum interval of the feasible domain as the goal, including: optimizing the objective function by the upper bound and then optimizing the objective function by the lower bound;

[0013] The constraints include: flexible operation constraints of controllable energy supply equipment, flexible operation constraints of energy storage equipment, supply and demand balance constraints of the integrated energy system and conservative constraints.

[0014] Optionally, a training set and a validation set are constructed based on the feasible domain, fluctuation range and evaluation index corresponding to the integrated energy system, and an evaluation model is obtained by training the training set, including:

[0015] An input set is constructed based on the feasible domain and fluctuation range corresponding to the integrated energy system, and an output set corresponding to the input set is constructed based on the feasible domain and fluctuation range corresponding to the integrated energy system and the corresponding evaluation index, and the input set and the corresponding output set are divided in a ratio of 8:2 to obtain a training set and a verification set;

[0016] The preset network model is trained with the training set to obtain an evaluation model, and the evaluation model is verified with the verification set. If the verification result does not meet the accuracy requirement, the model parameters of the evaluation model are adjusted until the verification result meets the accuracy requirement.

[0017] Optionally, when the integrated energy system adds application scenarios or adds operating strategies under different application scenarios, an enhanced training set is constructed based on the feasible domain of external power demand, the fluctuation range of multiple loads and the flexibility of the integrated energy system under the added application scenarios or the added operating strategies under different application scenarios, and the evaluation model is trained with the enhanced training set to adjust the model parameters of the evaluation model.

[0018] Optionally, the method further includes: screening out a target integrated energy system or integrated energy system with high system capacity, and determining a corresponding application scenario operation strategy;

[0019] Determine the type and structure of the target integrated energy system or integrated energy system with high system capability, associate the type and structure with the corresponding application scenario operation strategy, generate associated data, and store the associated data.

[0020] Optionally, the method also includes: when the system capability of the target integrated energy system does not meet the operating requirements, based on the structure and type of the target integrated energy system, screening out data with the same type and high structural similarity as the target integrated energy system from the related data, determining the application scenario operating strategy in the data, and determining the system capability of the target integrated energy system under the application scenario operating strategy, and selecting the application scenario operating strategy with the optimal system capability as the operating strategy of the target integrated energy system.

[0021] Optional operating data, including: load power variables, load fluctuation deviation, start and stop status of equipment at each moment, control variables of energy storage or discharge at each moment, equipment power and load power.

[0022] In another aspect, the present invention further provides an evaluation system for integrated energy system capability, comprising:

[0023] A data acquisition unit is used to obtain, for an integrated energy system, operating data of the integrated energy system under operating strategies of different application scenarios, determine a feasible domain of external power demand and a fluctuation range of multiple loads based on the operating data, and determine a flexibility value of the integrated energy system based on the feasible domain and the fluctuation range;

[0024] A training unit, used to use the flexibility value of the integrated energy system as an evaluation index for evaluating the capability of the integrated energy system, and to construct a training set and a validation set based on the feasible domain, fluctuation range and evaluation index corresponding to the integrated energy system, and to train the training set and the validation set to obtain an evaluation model;

[0025] An evaluation unit is used to determine the evaluation index of the target integrated energy system under the target application scenario operation strategy based on the evaluation model, and determine the system capacity of the target integrated energy system based on the evaluation index.

[0026] Optionally, determine the feasible domain of external power demand and the fluctuation range of multiple loads, including:

[0027] The upper and lower targets for external power demand of the integrated energy system under different application scenario operation strategies are determined, and the interval formed by the upper and lower targets is used as the feasible domain for external power demand.

[0028] Optionally, determining the value of the flexibility of the integrated energy system based on the feasible domain and the fluctuation range includes:

[0029] Based on the feasible domain and the fluctuation range, a calculation model is established, an optimal solution is obtained for the calculation model, and based on the optimal solution, a value of the flexibility of the integrated energy system is determined;

[0030] The calculation model includes: an objective function and constraints;

[0031] The objective function takes the maximum interval of the feasible domain as the goal, including: optimizing the objective function by the upper bound and then optimizing the objective function by the lower bound;

[0032] The constraints include: flexible operation constraints of controllable energy supply equipment, flexible operation constraints of energy storage equipment, supply and demand balance constraints of the integrated energy system and conservative constraints.

[0033] Optionally, a training set and a validation set are constructed based on the feasible domain, fluctuation range and evaluation index corresponding to the integrated energy system, and an evaluation model is obtained by training the training set, including:

[0034] An input set is constructed based on the feasible domain and fluctuation range corresponding to the integrated energy system, and an output set corresponding to the input set is constructed based on the feasible domain and fluctuation range corresponding to the integrated energy system and the corresponding evaluation index, and the input set and the corresponding output set are divided in a ratio of 8:2 to obtain a training set and a verification set;

[0035] The preset network model is trained with the training set to obtain an evaluation model, and the evaluation model is verified with the verification set. If the verification result does not meet the accuracy requirement, the model parameters of the evaluation model are adjusted until the verification result meets the accuracy requirement.

[0036] Optionally, the evaluation unit is used to construct an enhanced training set based on the feasible domain of external power demand, the fluctuation range of multiple loads and the flexibility of the integrated energy system under the added application scenarios or the added operating strategies under different application scenarios of the integrated energy system, when adding application scenarios or adding operating strategies under different application scenarios, and train the evaluation model with the enhanced training set to adjust the model parameters of the evaluation model.

[0037] Optionally, the evaluation unit is further used to: screen out target integrated energy systems or integrated energy systems with high system capabilities, and determine corresponding application scenario operation strategies;

[0038] Determine the type and structure of the target integrated energy system or integrated energy system with high system capability, associate the type and structure with the corresponding application scenario operation strategy, generate associated data, and store the associated data.

[0039] Optionally, the evaluation unit is also used for: when the system capability of the target integrated energy system does not meet the operating requirements, based on the structure and type of the target integrated energy system, screening out data with the same type and high structural similarity as the target integrated energy system from the related data, determining the application scenario operating strategy in the data, and determining the system capability of the target integrated energy system under the application scenario operating strategy, and selecting the application scenario operating strategy with the optimal system capability as the operating strategy of the target integrated energy system.

[0040] Optional operating data, including: load power variables, load fluctuation deviation, start and stop status of equipment at each moment, control variables of energy storage or discharge at each moment, equipment power and load power.

[0041] In yet another aspect, the present invention further provides a computing device, comprising: one or more processors;

[0042] a processor for executing one or more programs;

[0043] When the one or more programs are executed by the one or more processors, the above-described method is implemented.

[0044] In yet another aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed, the method described above is implemented.

[0045] Compared with the prior art, the present invention has the following beneficial effects:

[0046] The present invention provides an evaluation method for the capability of an integrated energy system, comprising: obtaining the operating data of the integrated energy system under different application scenario operation strategies for the integrated energy system, determining the feasible domain of external power demand and the fluctuation range of multi-loads based on the operating data, and determining the value of the flexibility of the integrated energy system based on the feasible domain and the fluctuation range; using the value of the flexibility of the integrated energy system as an evaluation index for evaluating the capability of the integrated energy system, and constructing a training set and a validation set with the feasible domain, fluctuation range and evaluation index corresponding to the integrated energy system, and obtaining an evaluation model by training the training set and the validation set; determining the evaluation index of the target integrated energy system under the target application scenario operation strategy based on the evaluation model, and determining the system capability of the target integrated energy system based on the evaluation index. The present invention can effectively evaluate the capability of different scenario systems by constructing an evaluation model and using the evaluation model, with simple calculation and high accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 A flow chart of a method for evaluating the capability of an integrated energy system according to the present invention;

[0048] Figure 2 This is a structural diagram of an evaluation system for integrated energy system capabilities according to the present invention. DETAILED DESCRIPTION

[0049] Now, exemplary embodiments of the present invention are described with reference to the accompanying drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. These embodiments are provided to disclose the present invention in detail and completely and to fully convey the scope of the present invention to those skilled in the art. The terms used in the exemplary embodiments shown in the accompanying drawings are not intended to limit the present invention. In the accompanying drawings, the same units / elements are marked with the same reference numerals.

[0050] Unless otherwise specified, the terms (including technical terms) used herein have the commonly understood meanings to those skilled in the art. In addition, it is understood that the terms defined in commonly used dictionaries should be understood to have the same meanings as those in the context of the relevant fields, and should not be understood as idealized or overly formal meanings.

[0051] Embodiment 1:

[0052] The present invention proposes a method for evaluating the capacity of an integrated energy system, such as Figure 1 As shown, including:

[0053] Step 1: for an integrated energy system, obtain the operation data of the integrated energy system under different application scenario operation strategies, determine the feasible domain of external power demand and the fluctuation range of multiple loads based on the operation data, and determine the flexibility value of the integrated energy system based on the feasible domain and the fluctuation range;

[0054] Step 2: Using the flexibility value of the integrated energy system as an evaluation index for evaluating the capability of the integrated energy system, and using the feasible domain, fluctuation range and evaluation index corresponding to the integrated energy system to construct a training set and a validation set, and using the training set and the validation set to train an evaluation model;

[0055] Step 3: Based on the evaluation model, determine the evaluation indicators of the target integrated energy system under the target application scenario operation strategy, and based on the evaluation indicators, determine the system capacity of the target integrated energy system.

[0056] Among them, the feasible domain of external power demand and the fluctuation range of multiple loads are determined, including:

[0057] The upper and lower targets for external power demand of the integrated energy system under different application scenario operation strategies are determined, and the interval formed by the upper and lower targets is used as the feasible domain for external power demand.

[0058] Wherein, based on the feasible domain and the fluctuation range, determining the value of the flexibility of the integrated energy system includes:

[0059] Based on the feasible domain and the fluctuation range, a calculation model is established, an optimal solution is obtained for the calculation model, and based on the optimal solution, a value of the flexibility of the integrated energy system is determined;

[0060] The calculation model includes: an objective function and constraints;

[0061] The objective function takes the maximum interval of the feasible domain as the goal, including: optimizing the objective function by the upper bound and then optimizing the objective function by the lower bound;

[0062] The constraints include: flexible operation constraints of controllable energy supply equipment, flexible operation constraints of energy storage equipment, supply and demand balance constraints of the integrated energy system and conservative constraints.

[0063] Among them, the feasible domain, fluctuation range and evaluation index corresponding to the integrated energy system are used to construct a training set and a verification set, and the evaluation model is obtained by training the training set, including:

[0064] An input set is constructed based on the feasible domain and fluctuation range corresponding to the integrated energy system, and an output set corresponding to the input set is constructed based on the feasible domain and fluctuation range corresponding to the integrated energy system and the corresponding evaluation index, and the input set and the corresponding output set are divided in a ratio of 8:2 to obtain a training set and a verification set;

[0065] The preset network model is trained with the training set to obtain an evaluation model, and the evaluation model is verified with the verification set. If the verification result does not meet the accuracy requirement, the model parameters of the evaluation model are adjusted until the verification result meets the accuracy requirement.

[0066] Among them, when the integrated energy system adds application scenarios or adds operating strategies under different application scenarios, an enhanced training set is constructed based on the feasible domain of external power demand, the fluctuation range of multiple loads and the flexibility of the integrated energy system under the added application scenarios or the added operating strategies under different application scenarios, and the evaluation model is trained with the enhanced training set to adjust the model parameters of the evaluation model.

[0067] Among them, the method also includes: screening out target integrated energy systems or integrated energy systems with high system capabilities, and determining corresponding application scenario operation strategies;

[0068] Determine the type and structure of the target integrated energy system or integrated energy system with high system capability, associate the type and structure with the corresponding application scenario operation strategy, generate associated data, and store the associated data.

[0069] The method also includes: when the system capacity of the target integrated energy system does not meet the operating requirements, according to the structure and type of the target integrated energy system, in the associated data, data with the same type and high structural similarity as the target integrated energy system are screened out, and the application scenario operation strategy in the data is determined, and the system capacity of the target integrated energy system under the application scenario operation strategy is determined, and the application scenario operation strategy with the best system capacity is selected as the operation strategy of the target integrated energy system.

[0070] The operating data include: load power variables, load fluctuation deviation, start and stop status of equipment at each moment, control variables of energy storage or discharge at each moment, equipment power and load power.

[0071] Embodiment 2:

[0072] In another aspect, the present invention also provides an evaluation system 200 for integrated energy system capability, such as Figure 2 As shown, including:

[0073] The data acquisition unit 201 is used to obtain the operation data of the integrated energy system under different application scenario operation strategies for the integrated energy system, determine the feasible domain of external power demand and the fluctuation range of multiple loads based on the operation data, and determine the flexibility value of the integrated energy system based on the feasible domain and the fluctuation range;

[0074] A training unit 202 is used to use the flexibility value of the integrated energy system as an evaluation index for evaluating the capability of the integrated energy system, and to construct a training set and a validation set based on the feasible domain, fluctuation range and evaluation index corresponding to the integrated energy system, and to obtain an evaluation model by training the training set and the validation set;

[0075] The evaluation unit 203 is used to determine the evaluation index of the target integrated energy system under the target application scenario operation strategy based on the evaluation model, and determine the system capacity of the target integrated energy system based on the evaluation index.

[0076] Among them, the feasible domain of external power demand and the fluctuation range of multiple loads are determined, including:

[0077] The upper and lower targets for external power demand of the integrated energy system under different application scenario operation strategies are determined, and the interval formed by the upper and lower targets is used as the feasible domain for external power demand.

[0078] Wherein, based on the feasible domain and the fluctuation range, determining the value of the flexibility of the integrated energy system includes:

[0079] Based on the feasible domain and the fluctuation range, a calculation model is established, an optimal solution is obtained for the calculation model, and based on the optimal solution, a value of the flexibility of the integrated energy system is determined;

[0080] The calculation model includes: an objective function and constraints;

[0081] The objective function takes the maximum interval of the feasible domain as the goal, including: optimizing the objective function by the upper bound and then optimizing the objective function by the lower bound;

[0082] The constraints include: flexible operation constraints of controllable energy supply equipment, flexible operation constraints of energy storage equipment, supply and demand balance constraints of the integrated energy system and conservative constraints.

[0083] Among them, the feasible domain, fluctuation range and evaluation index corresponding to the integrated energy system are used to construct a training set and a verification set, and the evaluation model is obtained by training the training set, including:

[0084] An input set is constructed based on the feasible domain and fluctuation range corresponding to the integrated energy system, and an output set corresponding to the input set is constructed based on the feasible domain and fluctuation range corresponding to the integrated energy system and the corresponding evaluation index, and the input set and the corresponding output set are divided in a ratio of 8:2 to obtain a training set and a verification set;

[0085] The preset network model is trained with the training set to obtain an evaluation model, and the evaluation model is verified with the verification set. If the verification result does not meet the accuracy requirement, the model parameters of the evaluation model are adjusted until the verification result meets the accuracy requirement.

[0086] Among them, the evaluation unit 203 is used to construct an enhanced training set based on the feasible domain of external power demand, the fluctuation range of multiple loads and the flexibility of the integrated energy system under the added application scenarios or the added operation strategies under different application scenarios of the integrated energy system when adding application scenarios or adding operation strategies under different application scenarios, and train the evaluation model with the enhanced training set to adjust the model parameters of the evaluation model.

[0087] The evaluation unit 203 is further used to: screen out target integrated energy systems or integrated energy systems with high system capabilities, and determine corresponding application scenario operation strategies;

[0088] Determine the type and structure of the target integrated energy system or integrated energy system with high system capability, associate the type and structure with the corresponding application scenario operation strategy, generate associated data, and store the associated data.

[0089] Among them, the evaluation unit 203 is also used for: when the system capability of the target integrated energy system does not meet the operation requirements, according to the structure and type of the target integrated energy system, in the associated data, screening out data with the same type and high structural similarity as the target integrated energy system, and determining the application scenario operation strategy in the data, and determining the system capability of the target integrated energy system under the application scenario operation strategy, and selecting the application scenario operation strategy with the optimal system capability as the operation strategy of the target integrated energy system.

[0090] The operating data include: load power variables, load fluctuation deviation, start and stop status of equipment at each moment, control variables of energy storage or discharge at each moment, equipment power and load power.

[0091] The present invention builds an evaluation model and uses the evaluation model to perform effective capability evaluation for different scenario systems, with simple calculation and high accuracy.

[0092] Embodiment 3:

[0093] Based on the same inventive concept, the present invention also provides a computer device, which includes a processor and a memory, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, and is specifically suitable for loading and executing one or more instructions in the computer storage medium to implement the corresponding method flow or corresponding functions, so as to implement the steps of the method in the above embodiment.

[0094] Embodiment 4:

[0095] Based on the same inventive concept, the present invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device for storing programs and data. It is understandable that the computer-readable storage medium here can include both a built-in storage medium in a computer device and an extended storage medium supported by the computer device. The computer-readable storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by a processor are also stored in the storage space, and these instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the steps of the method in the above embodiment.

[0096] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes. The schemes in the embodiments of the present invention may be implemented in various computer languages, for example, object-oriented programming language Java and literal scripting language JavaScript, etc.

[0097] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0098] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0099] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0100] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0101] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for evaluating the capability of an integrated energy system, characterized in that: include: For the integrated energy system, the operation data of the integrated energy system under different application scenario operation strategies are obtained, and based on the operation data, the feasible domain of external power demand and the fluctuation range of multiple loads are determined, and based on the feasible domain and the fluctuation range, the flexibility value of the integrated energy system is determined; The flexibility value of the integrated energy system is used as an evaluation index for evaluating the capability of the integrated energy system, and a training set and a validation set are constructed based on the feasible domain, fluctuation range and evaluation index corresponding to the integrated energy system, and an evaluation model is obtained by training the training set and the validation set; Based on the evaluation model, the evaluation index of the target integrated energy system under the target application scenario operation strategy is determined, and based on the evaluation index, the system capacity of the target integrated energy system is determined.

2. The method according to claim 1, characterized in that The determination of the feasible domain of external power demand and the fluctuation range of multiple loads includes: The upper and lower targets for external power demand of the integrated energy system under different application scenario operation strategies are determined, and the interval formed by the upper and lower targets is used as the feasible domain for external power demand.

3. The method according to claim 1, characterized in that The step of determining the value of the flexibility of the integrated energy system based on the feasible domain and the fluctuation range includes: Based on the feasible domain and the fluctuation range, a calculation model is established, an optimal solution is obtained for the calculation model, and based on the optimal solution, a value of the flexibility of the integrated energy system is determined; The calculation model includes: an objective function and constraints; The objective function takes the maximum interval of the feasible domain as the goal, including: optimizing the objective function by the upper bound and then optimizing the objective function by the lower bound; The constraints include: flexible operation constraints of controllable energy supply equipment, flexible operation constraints of energy storage equipment, supply and demand balance constraints of the integrated energy system and conservative constraints.

4. The method according to claim 1, characterized in that: The method of constructing a training set and a validation set based on the feasible domain, fluctuation range and evaluation index corresponding to the integrated energy system, and obtaining an evaluation model by training the training set includes: An input set is constructed based on the feasible domain and fluctuation range corresponding to the integrated energy system, and an output set corresponding to the input set is constructed based on the feasible domain and fluctuation range corresponding to the integrated energy system and the corresponding evaluation index, and the input set and the corresponding output set are divided in a ratio of 8:2 to obtain a training set and a verification set; The preset network model is trained with the training set to obtain an evaluation model, and the evaluation model is verified with the verification set. If the verification result does not meet the accuracy requirement, the model parameters of the evaluation model are adjusted until the verification result meets the accuracy requirement.

5. The method according to claim 1, characterized in that When the integrated energy system adds application scenarios or adds operating strategies under different application scenarios, an enhanced training set is constructed based on the feasible domain of external power demand, the fluctuation range of multiple loads and the flexibility of the integrated energy system under the added application scenarios or the added operating strategies under different application scenarios. The evaluation model is trained with the enhanced training set to adjust the model parameters of the evaluation model.

6. The method according to claim 1, characterized in that The method further includes: screening out a target integrated energy system or integrated energy system with high system capacity, and determining a corresponding application scenario operation strategy; Determine the type and structure of the target integrated energy system or integrated energy system with high system capability, associate the type and structure with the corresponding application scenario operation strategy, generate associated data, and store the associated data.

7. The method according to claim 6, characterized in that The method also includes: when the system capacity of the target integrated energy system does not meet the operation requirements, based on the structure and type of the target integrated energy system, in the associated data, data with the same type and high structural similarity as the target integrated energy system are screened out, and the application scenario operation strategy in the data is determined, and the system capacity of the target integrated energy system under the application scenario operation strategy is determined, and the application scenario operation strategy with the best system capacity is selected as the operation strategy of the target integrated energy system.

8. A system for evaluating the capability of an integrated energy system, characterized in that: include: A data acquisition unit is used to obtain, for an integrated energy system, operating data of the integrated energy system under operating strategies of different application scenarios, determine a feasible domain of external power demand and a fluctuation range of multiple loads based on the operating data, and determine a flexibility value of the integrated energy system based on the feasible domain and the fluctuation range; A training unit, used to use the flexibility value of the integrated energy system as an evaluation index for evaluating the capability of the integrated energy system, and to construct a training set and a validation set based on the feasible domain, fluctuation range and evaluation index corresponding to the integrated energy system, and to train the training set and the validation set to obtain an evaluation model; An evaluation unit is used to determine the evaluation index of the target integrated energy system under the target application scenario operation strategy based on the evaluation model, and determine the system capacity of the target integrated energy system based on the evaluation index.

9. A computer device, characterized in that: include: one or more processors; a processor for executing one or more programs; When the one or more programs are executed by the one or more processors, the method according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed, the method according to any one of claims 1 to 7 is implemented.

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