Simulation topology generation method and device applied to micro-grid and electronic equipment

Abstract

The invention discloses a simulation topology generation method and device applied to a micro-grid and electronic equipment. The method comprises the steps of obtaining project demand information of a to-be-simulated target power system of the micro-grid; based on the project demand information, determining a target model in a target simulation model library; processing the project demand information to obtain a target document template; generating an initial simulation topology of the target power system based on the target document template and the target model; and performing simulation calculation based on the initial simulation topology, and adjusting the initial simulation topology based on a simulation calculation result to obtain a target simulation topology. According to the method, the corresponding target document template is automatically generated for the project demand information, and the target document template comprises the parameter information and the connection relation information corresponding to the target model, so that the simulation topology can be automatically generated, manual generation is not needed, and the generation efficiency of the micro-grid simulation topology is improved.

Description

Technical Field

[0001] The present application relates to the field of microgrid technology, and in particular to a simulation topology generation method, device and electronic equipment applied to a microgrid. Background Art

[0002] With the transformation of energy structure, microgrid, as a new technology form of source-grid-load-storage resource integration on the distribution side, is an effective means to promote the local consumption of large-scale distributed new energy and realize the aggregation and interaction of multiple new elements nearby. Correspondingly, the power structure of microgrid parks is complex and diverse. If each project manually builds a simulation topology based on a one-time wiring diagram (also called the main electrical wiring diagram), it will be time-consuming and labor-intensive, greatly affecting the progress of the project. At the same time, professional simulation personnel are required to participate in depth, which reduces the efficiency of generating microgrid simulation topology. Summary of the invention

[0003] In order to solve the above problems, the present application provides a method, device and electronic device for generating a simulation topology for a microgrid, which improves the efficiency of generating a simulation topology for a microgrid.

[0004] In order to achieve the above objectives, this application provides the following technical solutions:

[0005] A simulation topology generation method applied to a microgrid, comprising:

[0006] Obtain project demand information of a target power system to be simulated of a microgrid;

[0007] Based on the project requirement information, determining a target model in a target simulation model library;

[0008] Processing the project requirement information to obtain a target document template, wherein the target document template includes fill information of parameter information and connection relationship information corresponding to the target model;

[0009] Based on the target document template and the target model, generating an initial simulation topology of the target power system;

[0010] A simulation calculation is performed based on the initial simulation topology, and the initial simulation topology is adjusted based on the simulation calculation result to obtain a target simulation topology.

[0011] Optionally, the method further comprises:

[0012] Based on the equipment information of the microgrid system, a mathematical model corresponding to each equipment is generated;

[0013] Generate a control model based on the control logic corresponding to each device;

[0014] According to the mathematical model and the control model, a target simulation model library is constructed; wherein each model in the target simulation model library is configured with a function label, and the function label is used to describe the function information of the model.

[0015] Optionally, determining a target model in a target simulation model library based on the project requirement information includes:

[0016] Based on the project requirement information, determine model requirement information;

[0017] Determining whether the models in the target simulation model library meet the model requirement information according to the function label of each model in the target simulation model library;

[0018] If yes, determining the model in the target simulation model library that meets the model requirement information as the target model;

[0019] If not, based on the model requirement information, the target simulation model library is updated and the target model is determined.

[0020] Optionally, it also includes:

[0021] In response to updating the target simulation model library, a document template corresponding to the target simulation model library is updated.

[0022] Optionally, the processing of the project requirement information to obtain a target document template includes:

[0023] Perform semantic analysis on the project requirement information based on the target big model to obtain target key information;

[0024] Fill the target key information into the preset document template to obtain the target document template;

[0025] Among them, the target large model is a semantic analysis model based on machine learning of historical project information, and the preset document template is a document template obtained by summarizing the historical project information.

[0026] Optionally, the generating an initial simulation topology of the target power system based on the target document template and the target model includes:

[0027] Verifying the target document template to obtain a target document template that passes the verification;

[0028] Determine the model parameters of each target model according to the primary connection diagram to be simulated;

[0029] Determine the connection relationship information of each target model;

[0030] Filling the model parameters and the connection relationship information into the target document template to obtain target document template information;

[0031] An initial simulation topology of the target power system is generated based on the target document template information and the target model.

[0032] Optionally, the generating an initial simulation topology of the target power system based on the target document template information includes:

[0033] Obtaining IoT data of equipment corresponding to the target power system;

[0034] Calibrate the target model based on the IoT data to obtain a calibrated target model;

[0035] An initial simulation topology of the target power system is generated based on the target document template information and the calibrated target model.

[0036] Optionally, performing simulation calculation based on the initial simulation topology, and adjusting the initial simulation topology based on the simulation calculation result to obtain a target simulation topology includes:

[0037] Determine the simulation running time according to the project requirement information;

[0038] Running the initial simulation topology based on the simulation running data to obtain running data;

[0039] Determine the simulation calculation result with the initial simulation topology according to the operation data and the operation index parameter;

[0040] The initial simulation topology is adjusted based on the simulation calculation result to obtain the target simulation topology.

[0041] A simulation topology generation device applied to a microgrid, comprising:

[0042] An information acquisition unit, used to obtain project demand information of a target power system to be simulated of a microgrid;

[0043] A first determining unit, configured to determine a target model in a target simulation model library based on the project requirement information;

[0044] A processing unit, configured to process the project requirement information to obtain a target document template, wherein the target document template includes fill information of parameter information and connection relationship information corresponding to the target model;

[0045] A generating unit, configured to generate an initial simulation topology of the target power system based on the target document template and the target model;

[0046] The adjustment unit is used to perform simulation calculation based on the initial simulation topology, and adjust the initial simulation topology based on the simulation calculation result to obtain the target simulation topology.

[0047] An electronic device, comprising:

[0048] Memory, used to store programs;

[0049] A processor is used to execute the program, wherein the program is specifically used to implement the simulation topology generation method applied to a microgrid as described in any one of the above.

[0050] Compared with the prior art, the present application provides a simulation topology generation method, device and electronic device for microgrids, the method comprising: obtaining project requirement information of a target power system to be simulated in the microgrid; determining a target model in a target simulation model library based on the project requirement information; processing the project requirement information to obtain a target document template; generating an initial simulation topology of the target power system based on the target document template and the target model; performing simulation calculations based on the initial simulation topology, and adjusting the initial simulation topology based on the simulation calculation results to obtain a target simulation topology. In the present application, a corresponding target document template is automatically generated for the project requirement information, and the target document template includes parameter information and connection relationship information corresponding to the target model, so that the simulation topology can be automatically generated without manual generation, thereby improving the generation efficiency of the microgrid simulation topology. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0052] Figure 1 A schematic diagram of a flow chart of a simulation topology generation method applied to a microgrid provided in an embodiment of the present application;

[0053] Figure 2 A schematic diagram of a primary wiring diagram provided in an embodiment of the present application;

[0054] Figure 3 An automatically generated simulation topology diagram provided in an embodiment of the present application;

[0055] Figure 4 A schematic diagram of the structure of a simulation topology generation device applied to a microgrid provided in an embodiment of the present application. DETAILED DESCRIPTION

[0056] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0057] The terms "first" and "second" in this application are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but may include steps or units that are not listed.

[0058] In the embodiment of the present application, a simulation topology generation method for a microgrid is provided. Figure 1 , the method may include the following steps:

[0059] S101. Obtain project demand information of a target power system to be simulated in a microgrid.

[0060] The microgrid can be a DC microgrid, an AC microgrid, or an AC / DC hybrid microgrid, or a medium voltage distribution branch line microgrid or a low voltage microgrid. The target power system to be simulated corresponding to the microgrid can be determined based on the simulation requirements of the current microgrid project. The target power system can include different power devices, such as distributed power sources, energy storage devices, energy conversion devices, monitoring devices, and protection devices, etc. The specific ones can be determined in combination with actual needs. After determining the target power system to be simulated, it is necessary to obtain the project requirement information corresponding to the target power system, wherein the project requirement information can be determined through the project information of the current target power system to be simulated. The project information can include project background, power system goals, business requirements, technical specifications, relevant precautions and other information. By analyzing the project requirement information, the simulation requirements can be accurately determined to avoid the problem of missing key information during the simulation topology generation process.

[0061] S102. Determine a target model in a target simulation model library based on project requirement information.

[0062] The target simulation model library is a pre-established model library, and a simulation model device library is constructed based on the commonly used device information in the microgrid. Specifically, in one implementation of the embodiment of the present application, a method for constructing a target simulation model library is also provided, including: generating a mathematical model corresponding to each device based on the device information of the microgrid system; generating a control model based on the control logic corresponding to each device; constructing a target simulation model library based on the mathematical model and the control model; wherein each model in the target simulation model library is configured with a function label, and the function label is used to describe the function information of the model. Specifically, based on the device information of the microgrid system, the commonly used physical devices in the microgrid can be obtained, and then the mathematical model corresponding to the device can be constructed according to the device parameters, working principles and application environment of the physical device, so that the device can be simulated and tested through the mathematical model. Furthermore, in order to ensure the accuracy of the constructed mathematical model, it can also be calibrated according to the parameters. If the deviation of the calibration test result is too large, the generated mathematical model can be adjusted by methods such as polynomial fitting. For example, a microgrid system includes photovoltaic equipment, energy storage equipment, transformer equipment, reactive compensator equipment, cable equipment, etc., and corresponding mathematical models (such as photovoltaic models, energy storage models, transformer models, reactive compensator models, cable models, etc.) can be constructed in the modelica environment based on the equipment operation mechanism. At the same time, according to the control logic of controllers from different manufacturers, corresponding control models are constructed to form a corresponding target simulation model library. In order to facilitate the call of models in the target simulation model library, each model in the target simulation model library can be configured with corresponding functional tags to facilitate the subsequent large model analysis and the call of specific simulation needs.

[0063] Therefore, after obtaining the project requirement information, the physical equipment corresponding to the project can be determined according to the project requirements, and then the target models corresponding to these physical equipment can be determined in the target simulation model library. For example, in the current project, the power generation efficiency of photovoltaic power generation equipment needs to be determined, and accordingly, the target model includes a photovoltaic model.

[0064] S103: Process the project requirement information to obtain a target document template.

[0065] The target document template is based on the corresponding document template and includes fill-in information that matches the current project requirement information. For example, the target document template includes fill-in information of parameter information and connection relationship information corresponding to the target model, that is, the document template corresponding to the target document template will include multiple fill-in information areas. The corresponding key information is extracted according to the current project requirement information, and the key information is filled into the corresponding information area to facilitate the subsequent use of the target document module to generate the simulation topology.

[0066] In order to improve the efficiency and accuracy of information processing, in an embodiment of the present application, semantic analysis can be performed on the project requirement information based on the large model to extract the key information used for simulation, such as equipment parameter information, connection relationship information, control parameters, etc., so as to fill in the corresponding document template according to this information to obtain the target document template. Correspondingly, in an embodiment of the present application, the target simulation model library can be configured with at least one document template, which can be used for different simulation types, can correspond to different equipment models, and can also correspond to different simulation environments. In this way, after obtaining the project requirement information, the best matching document template can be determined among these document templates, and then the key information corresponding to the project requirement information can be filled into the document template to obtain the target document template.

[0067] S104: Generate an initial simulation topology of the target power system based on the target document template and the target model.

[0068] Since the target model's parameter information and connection relationship information are configured in the target document template, each target model can be driven by the rule engine to automatically generate an initial simulation topology according to the corresponding parameter information and connection relationship.

[0069] S105 , performing simulation calculation based on the initial simulation topology, and adjusting the initial simulation topology based on the simulation calculation result to obtain a target simulation topology.

[0070] After obtaining the initial simulation topology, the accuracy of the initial simulation topology can be verified, that is, the corresponding simulation calculation results can be obtained through simulation calculation, and then the initial simulation topology can be adjusted in combination with actual needs or expert experience to obtain a more accurate target simulation topology.

[0071] A simulation topology generation method for a microgrid provided in an embodiment of the present application does not require professional personnel to perform simulation processing. Instead, it automatically analyzes the simulation demand information to determine the corresponding target model and generates a corresponding target document template. The simulation topology generation is automatically completed through parameter information and connection relationships in the target document model. The generated initial simulation topology is then verified through simulation calculations to adjust the target simulation topology. No professional personnel are required to participate, which improves the efficiency of simulation topology generation and reduces the cost of project simulation.

[0072] In an embodiment of the present application, the models in the pre-established target simulation model library may not fully meet the current project requirement information, so the models in the target simulation model library can be updated according to the current project requirement information. In one embodiment, based on the project requirement information, the target model is determined in the target simulation model library, including: determining the model requirement information based on the project requirement information; determining whether the models in the target simulation model library meet the model requirement information according to the function label of each model in the target simulation model library; if so, determining the model in the target simulation model library that meets the model requirement information as the target model; if not, updating the target simulation model library based on the model requirement information, and determining the target model.

[0073] The big model can be used to perform semantic analysis on the project requirement information to summarize the model requirement information, and then analyze whether a new model or iterative model is needed based on the functional labels of each model in the target simulation model library. Among them, the big model can be a large language model trained based on a large amount of project data, which can perform semantic analysis on natural language. If the model in the current target simulation model library cannot meet the current model requirement information, the target simulation model library can be optimized through the big model. For example, the big model can generate a preliminary mechanism model in combination with the previous business needs, and at the same time include the corresponding functional labels, which are reviewed and revised by engineers and stored in the model library.

[0074] Furthermore, in response to updating the target simulation model library, the document template corresponding to the target simulation model library is updated. In combination with the simulation requirements and the updated target simulation model library, the relevant information is included in the new document template with reference to the original template form, and the large model refers to the mapping relationship between the previous document template and the rule engine to generate a new rule engine. Finally, the engineer reviews and revises to obtain the updated document template.

[0075] In one implementation of an embodiment of the present application, project requirement information is processed to obtain a target document template, including: performing semantic analysis on the project requirement information based on a target big model to obtain target key information; filling the target key information into a preset document template to obtain a target document template; wherein the target big model is a semantic analysis model based on machine learning of historical project information, and the preset document template is a document template obtained by summarizing historical project information.

[0076] Specifically, the target big model can be used to perform intelligent parsing and semantic analysis on documents of different formats (such as Word, PDF, etc.) in the project requirement information, and automatically complete the filling of templated documents. For example, first use a text extraction tool to convert the document content into processable natural language data. For the extracted text, combined with the semantic understanding ability of the target big model (such as GPT, etc.), key information is identified and extracted. Subsequently, based on the preset document template, the placeholders in the template are automatically filled in according to specific rules and business requirements to generate a complete document output, that is, to obtain the target document template.

[0077] In one implementation of an embodiment of the present application, an initial simulation topology of the target power system is generated based on a target document template and the target model, including: verifying the target document template to obtain a verified target document template; determining model parameters of each target model based on a primary connection diagram to be simulated; determining connection relationship information of each target model; filling the model parameters and the connection relationship information into the target document template to obtain target document template information; and generating an initial simulation topology of the target power system based on the target document template information and the target model.

[0078] After obtaining the target document template, its document content will be verified to determine whether it meets the preset requirements, such as determining whether the required content of the target document template is complete. If the content is complete, the processing can continue based on the target document template. If the content is incomplete, the corresponding prompt information can be generated to prompt the content to be completed, and the information can be completed to obtain a verified target document template. Then, according to the device instantiation model of the primary connection diagram to be simulated (it can also be a template describing the relationship of the primary connection diagram) and fill in the corresponding model parameters; the model connection relationship can also be generated according to the expert rules and filled into the target document template. At this time, the target document template information that can automatically perform the simulation processing will be obtained, that is, the target document template information includes the model parameters and connection relationship information of each model used for simulation. Thereby, the initial simulation topology of the power system is generated. Furthermore, the Internet of Things data of the equipment corresponding to the target power system can also be obtained; the target model is calibrated based on the Internet of Things data to obtain the calibrated target model; based on the target document template information and the calibrated target model, the initial simulation topology of the target power system is generated. See. Figure 2 and Figure 3 , Figure 2 A schematic diagram of a primary wiring diagram provided in an embodiment of the present application, Figure 3 An automatically generated simulation topology diagram is provided in an embodiment of the present application.

[0079] For example, when the simulation topology is automatically generated based on the rule engine using the target document template and the target model, the corresponding model can be selected from the model library according to the equipment on the primary wiring diagram and uniquely numbered, and the corresponding equipment information can be filled into the model. For example, for transformer equipment, the transformer model is selected from the model library and numbered 1. The equipment information includes information such as primary voltage, secondary voltage, rated capacity, no-load loss, short-circuit loss, etc. The transformer model numbered 1 needs to be filled in (due to different mathematical models of the same equipment, the required input parameters are also inconsistent, and only examples are given here). Of course, the recognition results of the primary wiring diagram can be processed here according to user needs to meet the simulation requirements. For example, if the busbar equipment can be ignored in the simulation, the equipment can be eliminated, and the connection relationship of the corresponding busbar model will not be considered in the subsequent model connection relationship.

[0080] Then, the target model connection relationship is generated according to the expert rules. The connection relationship includes the connection rules of power signals and the connection rules of control signals. Specifically, the connection rules of power signals: according to the primary wiring diagram, the connection relationship from the access point to the transformer, and from the transformer to the load (or photovoltaic or energy storage) from high voltage to low voltage is completed to complete the connection relationship of all devices. For example, taking the transformer as an example, the implementation method in the modelica development environment is as follows:

[0081] (1) Based on the instantiation of the transformer model as tranformer1 (model interface_input is positivePlug, model interface_output is negativePlug), the instantiation of the low-voltage side cable model is line1 (model interface_input is positivePlug, model interface_output is negativePlug)

[0082] (2) The connection command of the transformer is as follows:

[0083] connect(tranformer1.negativePlug,line1.positivePlug)

[0084] Connection rules for control signals:

[0085] Design connection rules based on the actual controller's acquisition signals and control signals. For example, a manufacturer's controller is designed to regulate the energy storage charging and discharging power in real time based on load power, photovoltaic power, and energy storage SOC. The connection rules of the controller signal are shown in Table 1:

[0086] Table 1

[0087]

[0088]

[0089] Furthermore, if there is a device IoT mapping table in the target document template, the IoT data of the corresponding device can be called through communication. In this case, the model needs to be calibrated based on the IoT data to avoid a large difference from the actual situation. If there is no IoT data, it can be skipped or a default value can be given (or filled in based on expert experience). For example, the constant voltage source model corresponds to the access point of the primary wiring diagram. If there is IoT data at the access point in the actual project, the least squares method can be used to make the voltage output of the constant voltage source consistent with the voltage value of the actual IoT data (the deviation can be controlled at about 5%). And so on, complete all model calibration.

[0090] In one implementation of the embodiments of the present application, the simulation calculation is performed based on the initial simulation topology, and the initial simulation topology is adjusted based on the simulation calculation result to obtain the target simulation topology, including: determining the simulation running time according to the project requirement information; running the initial simulation topology based on the simulation running data to obtain the running data; determining the simulation calculation result of the initial simulation topology according to the running data and the running indicator parameters; and adjusting the initial simulation topology based on the simulation calculation result to obtain the target simulation topology.

[0091] After obtaining the initial simulation topology, simulation calculations can be performed to output configuration optimization, operation optimization, and anticipated failures based on indicators, thereby adjusting the initial simulation topology. For example, by setting the simulation running time to one day or one year according to business needs, running the initial simulation topology, you can get operating data such as voltage, current, phase angle, etc. At the same time, you can also calculate indicators such as project benefits and equipment load rate based on the operating data through data processing (the content of the indicators is not limited here and can be set according to actual business goals). Finally, output expert suggestions based on the calculated indicators. For example, if the transformer load rate indicator is calculated to be 20%, it means that the transformer capacity is too large, and the customer can be advised to replace a transformer with a smaller capacity. If the business needs it, the changed solution needs to be re-simulated and verified to obtain the target simulation topology that meets the needs.

[0092] The embodiment of the present application provides a simulation topology generation method for microgrids, which can restore the connection relationship of real power system equipment one-to-one, realize rapid modeling, lower the threshold of use, and enable non-professional users to quickly realize the simulation analysis of project solutions through information collection, thereby improving the efficiency and scope of application of simulation topology generation. Furthermore, the present application can identify disordered project data through the technology of combining large models, document templates, rule engines, automatic calibration and solution feedback verification, summarize them into standard document templates, and then drive the precise instantiation of physical device models through the rule engine to automatically complete the simulation topology generation, and then generate problems and solutions through automatic calibration, and then perform solution feedback verification to complete the technical closed loop. Combined with the large model capability, the workload of people is greatly reduced. First, through the semantic recognition of the large model, the format requirements for project data collection are reduced. Secondly, through the large model based on the original model library, document template, and the rule engine for automatically generating topology, combined with new needs, a new model library, document template and the rule engine for automatically generating topology are generated to complete the automatic upgrade iteration of functions.

[0093] In another embodiment of the present application, a simulation topology generation device for a microgrid is provided. Figure 4 ,include:

[0094] The information acquisition unit 401 is used to obtain the project demand information of the target power system to be simulated in the microgrid;

[0095] A first determining unit 402 is used to determine a target model in a target simulation model library based on the project requirement information;

[0096] A processing unit 403 is used to process the project requirement information to obtain a target document template, wherein the target document template includes fill information of parameter information and connection relationship information corresponding to the target model;

[0097] A generating unit 404, configured to generate an initial simulation topology of the target power system based on the target document template and the target model;

[0098] The adjustment unit 405 is configured to perform simulation calculation based on the initial simulation topology, and adjust the initial simulation topology based on the simulation calculation result to obtain a target simulation topology.

[0099] Optionally, the device further comprises: a model library construction unit for:

[0100] Based on the equipment information of the microgrid system, a mathematical model corresponding to each equipment is generated;

[0101] Generate a control model based on the control logic corresponding to each device;

[0102] According to the mathematical model and the control model, a target simulation model library is constructed; wherein each model in the target simulation model library is configured with a function label, and the function label is used to describe the function information of the model.

[0103] Optionally, the first determining unit includes:

[0104] A first determining subunit is used to determine model requirement information based on the project requirement information;

[0105] A second determining subunit is used to determine whether the models in the target simulation model library meet the model requirement information according to the function label of each model in the target simulation model library;

[0106] A third determining subunit is used to, if yes, determine the model in the target simulation model library that meets the model requirement information as the target model;

[0107] The updating subunit is used to update the target simulation model library and determine the target model based on the model requirement information if not.

[0108] Optionally, it also includes:

[0109] The template updating unit is used to update the document template corresponding to the target simulation model library in response to updating the target simulation model library.

[0110] Optionally, the processing unit includes:

[0111] An analysis subunit, used for performing semantic analysis on the project requirement information based on the target macro model to obtain target key information;

[0112] A first acquisition subunit is used to fill the target key information into a preset document template to obtain a target document template;

[0113] Among them, the target large model is a semantic analysis model based on machine learning of historical project information, and the preset document template is a document template obtained by summarizing the historical project information.

[0114] Optionally, the generating unit includes:

[0115] A verification subunit, used to verify the target document template and obtain a target document template that passes the verification;

[0116] A fourth determination subunit is used to determine the model parameters of each target model according to the primary connection diagram to be simulated;

[0117] A fifth determining subunit, used to determine connection relationship information of each target model;

[0118] A filling subunit, used to fill the model parameters and the connection relationship information into the target document template to obtain target document template information;

[0119] A generating subunit is used to generate an initial simulation topology of the target power system based on the target document template information and the target model.

[0120] Optionally, the generating subunit is configured to:

[0121] Obtaining IoT data of equipment corresponding to the target power system;

[0122] Calibrate the target model based on the IoT data to obtain a calibrated target model;

[0123] An initial simulation topology of the target power system is generated based on the target document template information and the calibrated target model.

[0124] Optionally, the adjustment unit includes:

[0125] A fifth determining subunit, configured to determine a simulation running time according to the project requirement information;

[0126] A second acquisition subunit is used to run the initial simulation topology based on the simulation operation data to obtain operation data;

[0127] A sixth determination subunit, configured to determine a simulation calculation result corresponding to the initial simulation topology according to the operation data and the operation index parameter;

[0128] The adjustment subunit is used to adjust the initial simulation topology based on the simulation calculation result to obtain the target simulation topology.

[0129] Based on the aforementioned embodiments, an embodiment of the present application provides a computer-readable storage medium, which stores one or more programs, and the one or more programs can be executed by one or more processors to implement any of the above simulation topology generation methods applied to a microgrid.

[0130] The present application also provides an electronic device, including:

[0131] Memory, used to store programs;

[0132] A processor is used to execute the program, wherein the program is specifically used to implement the simulation topology generation method applied to a microgrid as described in any one of the above.

[0133] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0134] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A simulation topology generation method for a microgrid, characterized in that: include: Obtain project demand information of a target power system to be simulated of a microgrid; Based on the project requirement information, determining a target model in a target simulation model library; Processing the project requirement information to obtain a target document template, wherein the target document template includes fill information of parameter information and connection relationship information corresponding to the target model; Based on the target document template and the target model, generating an initial simulation topology of the target power system; A simulation calculation is performed based on the initial simulation topology, and the initial simulation topology is adjusted based on the simulation calculation result to obtain a target simulation topology.

2. The method according to claim 1, characterized in that The method further comprises: Based on the equipment information of the microgrid system, a mathematical model corresponding to each equipment is generated; Generate a control model based on the control logic corresponding to each device; According to the mathematical model and the control model, a target simulation model library is constructed; wherein each model in the target simulation model library is configured with a function label, and the function label is used to describe the function information of the model.

3. The method according to claim 2, characterized in that Determining a target model in a target simulation model library based on the project requirement information includes: Based on the project requirement information, determine model requirement information; Determining whether the models in the target simulation model library meet the model requirement information according to the function label of each model in the target simulation model library; If yes, determining the model in the target simulation model library that meets the model requirement information as the target model; If not, based on the model requirement information, the target simulation model library is updated and the target model is determined.

4. The method according to claim 3, characterized in that Also includes: In response to updating the target simulation model library, a document template corresponding to the target simulation model library is updated.

5. The method according to claim 1, characterized in that The step of processing the project requirement information to obtain a target document template includes: Perform semantic analysis on the project requirement information based on the target big model to obtain target key information; Fill the target key information into the preset document template to obtain the target document template; Among them, the target large model is a semantic analysis model based on machine learning of historical project information, and the preset document template is a document template obtained by summarizing the historical project information.

6. The method according to claim 1, characterized in that The generating an initial simulation topology of the target power system based on the target document template and the target model includes: Verifying the target document template to obtain a target document template that passes the verification; Determine the model parameters of each target model according to the primary connection diagram to be simulated; Determine the connection relationship information of each target model; Filling the model parameters and the connection relationship information into the target document template to obtain target document template information; An initial simulation topology of the target power system is generated based on the target document template information and the target model.

7. The method according to claim 6, characterized in that The generating the initial simulation topology of the target power system based on the target document template information includes: Obtaining IoT data of equipment corresponding to the target power system; Calibrate the target model based on the IoT data to obtain a calibrated target model; An initial simulation topology of the target power system is generated based on the target document template information and the calibrated target model.

8. The method according to claim 1, characterized in that The performing simulation calculation based on the initial simulation topology and adjusting the initial simulation topology based on the simulation calculation result to obtain the target simulation topology includes: Determine the simulation running time according to the project requirement information; Running the initial simulation topology based on the simulation running data to obtain running data; Determine the simulation calculation result with the initial simulation topology according to the operation data and the operation index parameter; The initial simulation topology is adjusted based on the simulation calculation result to obtain the target simulation topology.

9. A simulation topology generation device applied to a microgrid, characterized in that: include: An information acquisition unit, used to obtain project demand information of a target power system to be simulated of a microgrid; A first determining unit, configured to determine a target model in a target simulation model library based on the project requirement information; A processing unit, configured to process the project requirement information to obtain a target document template, wherein the target document template includes fill information of parameter information and connection relationship information corresponding to the target model; A generating unit, configured to generate an initial simulation topology of the target power system based on the target document template and the target model; The adjustment unit is used to perform simulation calculation based on the initial simulation topology, and adjust the initial simulation topology based on the simulation calculation result to obtain the target simulation topology.

10. An electronic device, characterized in that: include: Memory, used to store programs; A processor is used to execute the program, wherein the program is specifically used to implement the simulation topology generation method applied to a microgrid as described in any one of claims 1-8.

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