A mass new energy rapid modeling method, device, equipment and medium

Abstract

The application discloses a kind of mass new energy quick modeling method, device, equipment and medium, the method includes: obtaining pre-constructed power transmission and distribution network integration digital model;In power transmission and distribution network integration digital model, new energy access point is positioned;Obtain pre-constructed new energy unit machine group model template;Based on new energy access point and new energy unit machine group model template, batch generation new energy static model and new energy dynamic model.The mass new energy quick modeling method proposed in the application, based on new energy access point and new energy unit machine group model template, batch generation new energy static model and new energy dynamic model.Solve the batch maintenance of mass new energy single class parameter and the engineering problem that unit overall model is quickly accessed to power grid, greatly improve the correctness and high efficiency of new energy unit data modeling.

Description

Technical Field

[0001] This invention belongs to the field of distributed new energy power generation technology in power systems, specifically relating to a method, device, equipment, and medium for rapid modeling of massive new energy sources. Background Technology

[0002] The large-scale development of new energy sources necessitates in-depth exploration of the operational laws of new power systems and a scientific understanding of the overall and local aspects of the power grid, its components and systems, and its steady-state and dynamic operating mechanisms. This inevitably encounters massive changes in power grid planning schemes and operating modes. In constructing distributed / centralized new energy parameter models and conducting multi-type electrical calculations and analyses, numerous challenges arise, including large overall scale, numerous connected units, wide spatial distribution, and strong stochastic characteristics. Current methods for constructing new energy parameter models are mostly aimed at a small number or single models, lacking batch modeling techniques for massive amounts of new energy sources. Summary of the Invention

[0003] The purpose of this invention is to provide a method, device, equipment, and medium for rapid modeling of massive new energy sources. Based on the PSD power grid simulation planning and calculation data specification, this method enables one-click modeling of static and transient complete sets of parameters for different types of generating units and second-level modeling of integrated data of similar generating units for the widely distributed new energy access points. This greatly improves the accuracy and efficiency of new energy unit data modeling and provides a powerful support tool for the scientific access and safe operation of new energy sources.

[0004] To achieve the above objectives, the present invention adopts the following technical solution:

[0005] In a first aspect, this invention provides a method for rapid modeling of massive amounts of new energy sources, comprising the following steps:

[0006] Obtain a pre-built integrated digital model of the power transmission and distribution network;

[0007] Locate the new energy access point in the integrated digital model of the power transmission and distribution network;

[0008] Obtain a pre-built new energy unit model template;

[0009] Based on the new energy access point and new energy unit model template, batch generate new energy static models and new energy dynamic models.

[0010] Furthermore, the step of locating the new energy access point in the integrated digital model of the power transmission and distribution network specifically includes:

[0011] All power grid buses are obtained from the integrated digital model of the power transmission and distribution network, forming a bus set;

[0012] Using bus keywords, voltage levels, and power grid zones as setting conditions, the bus name, bus voltage, and power grid zone of the bus are matched with the setting conditions respectively.

[0013] The matched buses will form a bus set Φ. b and for the bus set Φ b Perform hash mapping processing;

[0014] Based on the aforementioned conditions, the transformer branches are traversed, and two buses of each transformer branch are extracted. A query is performed based on a hash mapping to determine whether all extracted buses exist in the bus set Φ. b If such a transformer branch exists, it is selected as the target transformer, ultimately forming the target transformer set Φ. T ;

[0015] According to the PSD-BPA renewable energy access rules, the target transformer set Φ T As a given condition, a set of transformers at the new energy access point Φ is formed. NG Among them, the elements in the set of access point transformers are used as new energy access points.

[0016] Furthermore, the method for matching the busbar name, busbar voltage, and power grid zone with the set conditions is as follows:

[0017] The method for matching bus names with set bus keywords: Let the string be A and the keyword be a. If Then it matches;

[0018] Method for matching bus voltage with the set voltage level: Set the highest voltage level to U. max The lowest is U min The node voltage is U. If U min <U<U max If , then it matches;

[0019] The method for matching power grid partitions with the configured power grid partitions is as follows: The partition is set as Z = {z1, z2, ...}, and the node partition is z b If z b If ∈Z, then it matches.

[0020] Furthermore, the target transformer set Φ T The set of access point transformers Φ is formed as a given condition. NG The method is as follows:

[0021] Let the target transformer set be... Based on the new energy access requirements, the set of transformers at the access point can be determined. Φ NG ∈Φ T .

[0022] Furthermore, the new energy unit model template includes a complex of generator-transformer groups, step-up transformers, and connecting lines from low voltage to high voltage, as well as new energy unit model parameters; wherein, the voltage level of the complex ranges from low voltage to high voltage.

[0023] Furthermore, the step of batch generating static and dynamic models of new energy based on the new energy access point and new energy unit model template specifically includes:

[0024] Obtain the name of the access point transformer for the new energy access point;

[0025] Add H, M, or L after the name of the transformer at the access point to serve as the bus name for different voltage levels in the new energy model; if multiple buses are connected at the same voltage level, add A, B, C, etc. after H, M, L to distinguish them.

[0026] Furthermore, after generating static and dynamic models of new energy in batches, the static models of new energy are added to the .dat file; the dynamic models of new energy are added to the .swi file.

[0027] In a second aspect, the present invention provides a rapid modeling device for massive amounts of new energy, comprising:

[0028] The first acquisition module is used to acquire a pre-built integrated digital model of the power transmission and distribution network.

[0029] The access point positioning module is used to locate the new energy access point in the integrated digital model of the power transmission and distribution network.

[0030] The second acquisition module is used to acquire a pre-built new energy unit model template;

[0031] The model generation module is used to generate static and dynamic new energy models in batches based on the new energy access points and new energy unit model templates.

[0032] In a third aspect, the present invention provides an electronic device, including a processor and a memory, wherein the processor is used to execute a computer program stored in the memory to implement the above-described method for rapid modeling of massive new energy sources.

[0033] In a fourth aspect, the present invention provides a computer-readable storage medium storing at least one instruction, which, when executed by a processor, implements the above-described method for rapid modeling of massive new energy sources.

[0034] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0035] This invention proposes a rapid modeling method for massive renewable energy sources, which generates static and dynamic models of renewable energy sources in batches based on renewable energy access points and renewable energy unit model templates. It solves the engineering challenges of batch maintenance of single-type parameters for massive renewable energy sources and rapid grid connection of overall unit models, greatly improving the accuracy and efficiency of renewable energy unit data modeling. Attached Figure Description

[0036] The accompanying drawings, which form part of this application, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an undue limitation of the invention. In the drawings:

[0037] Figure 1 This is a flowchart illustrating a rapid modeling method for massive new energy sources according to an embodiment of the present invention;

[0038] Figure 2 This is a structural block diagram of a rapid modeling device for massive new energy sources according to an embodiment of the present invention;

[0039] Figure 3 This is a structural block diagram of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0040] The present invention will now be described in detail with reference to the accompanying drawings and embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other.

[0041] The following detailed description is exemplary and intended to provide further detailed explanation of the invention. Unless otherwise specified, all technical terms used in this invention have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains. The terminology used in this invention is for the purpose of describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention.

[0042] Example 1

[0043] like Figure 1 As shown, a rapid modeling method for massive amounts of new energy includes the following steps:

[0044] S1. Obtain a pre-built integrated digital model of the power transmission and distribution network.

[0045] It should be noted that the integrated digital model of the power transmission and distribution network involved in this scheme covers all digital information of the power transmission and distribution network. This integrated digital model can include transmission and distribution network component models and equipment operating limit parameters, etc. More specifically, the transmission and distribution network component models can include transmission line parameters (resistance, reactance, conductance, susceptance), transformer parameters (leakage reactance, turns ratio, tap position), generator node parameters (active and reactive power output values), load node parameters (active and reactive power values); generator reserve capacity data; and equipment operating limit parameters can include: line rated current, transformer rated capacity, and generator maximum output (maximum active power output and maximum reactive power output). This method is applied to the integrated digital model of the power transmission and distribution network.

[0046] S2. Locate the new energy access point in the integrated digital model of power transmission and distribution network.

[0047] In this solution, step S2 specifically includes:

[0048] (1) Obtain all the busbars of the power grid in the integrated digital model of power transmission and distribution network to form a busbar set.

[0049] (2) Using bus key, voltage level, and grid zone as setting conditions, match the bus name, bus voltage, and grid zone of the bus with the set bus key, voltage level, and grid zone respectively;

[0050] Specifically, the method for matching the busbar name, busbar voltage, and power grid zone with the set conditions is as follows:

[0051] The method for matching bus names with set bus keywords: Let the string be A and the keyword be a. If Then it matches;

[0052] Method for matching bus voltage with the set voltage level: Set the highest voltage level to U. max The lowest is U min The node voltage is U. If U min <U<U max If , then it matches;

[0053] The method for matching power grid partitions with the configured power grid partitions is as follows: The partition is set as Z = {z1, z2, ...}, and the node partition is z b If z b If ∈Z, then it matches.

[0054] (3) Form a bus set Φ from the matched buses. b and for the bus set Φ b Perform hash mapping processing.

[0055] (4) Based on the set conditions, traverse the transformer branches, extract the two buses of each transformer branch, and perform a query based on the Hash mapping to determine whether both extracted buses exist in the bus set Φ. b If a transformer branch exists, it is selected as the target transformer; that is, the transformer branch consisting of the two selected busbars is used as the target transformer. If it does not exist, the transformer branch is ignored. This ultimately forms the target transformer set Φ. T .

[0056] (5) According to the PSD-BPA new energy access rules, the target transformer set Φ T As a given condition, a set of transformers at the new energy access point Φ is formed. NG Among them, the elements in the set of access point transformers are used as new energy access points.

[0057] Specifically, according to the PSD-BPA access rules for new energy sources, new energy generating units should be connected to the busbar of the substation with the corresponding voltage level. This substation busbar is the busbar that makes up the transformer branch.

[0058] Specifically, the target transformer set Φ T The set of access point transformers Φ is formed as a given condition. NG The method is as follows: Let the target transformer set be... Based on the new energy access requirements, the set of transformers at the access point can be determined. Φ NG ∈Φ T .

[0059] S3. Obtain the pre-built new energy unit model template.

[0060] Specifically, the new energy unit model template is divided into static model template, dynamic model template and parameter template; more specifically, it includes a comprehensive template consisting of generator-transformer groups, step-up transformers and connecting lines from low voltage to high voltage, as well as new energy unit model parameters; among them, the voltage level of the comprehensive unit ranges from low voltage to high voltage.

[0061] Specifically, this solution constructs static and dynamic model templates for new energy unit generators based on different types of new energy unit models and on-site wiring methods, according to the PSD-BPA power grid simulation calculation data specification, and saves them to the new energy template library. This includes:

[0062] (1) Static model of new energy unit, including bus node information, line information and transformer information.

[0063] Specifically, the bus node information includes node name, node type, reference voltage (covering all voltage levels), node zone, maximum active power output of new energy units, and actual active power output of new energy units; the line information includes line name, line rated current, per-unit resistance, per-unit reactance, and ground susceptance, covering the connection lines between each new energy unit and the collection station; the transformer information includes transformer name, rated capacity, leakage reactance, and transformer tap location, covering the transformer substations and step-up transformers of each new energy unit.

[0064] More specifically, the static model template example for new energy unit is as follows:

[0065]

[0066] (2) Dynamic model of new energy unit, including three new energy power generation models in PSD-ST program.

[0067] Specifically, the three new energy power generation models cover: fixed-speed wind turbines, doubly-fed wind turbines, direct-drive wind turbines, wind turbines with manufacturer-packaged parameters, and photovoltaic power generation.

[0068] Specifically, the three new energy power generation models included in the PSD-ST transient stabilization program are as follows:

[0069] ① The first set of new energy power generation models

[0070] Based on early models from the Western Electric Coordinating Committee (WECC) and GE (PSLF software), the first set of general-purpose models for wind turbines, photovoltaic power generation, and energy storage was established. The wind turbine models include three types: fixed-speed, GE doubly-fed, and GE direct-drive. The photovoltaic power generation model is a photovoltaic array paired with an inverter control model. The energy storage system is a chemical battery paired with an inverter control model.

[0071] ② The second set of new energy power generation models

[0072] In response to the frequent occurrence of grid disconnection of renewable energy sources in Zhangbei, Northwest China and other regions, a second set of doubly-fed, direct-drive wind turbine and photovoltaic power generation models was developed. These models can accurately and in detail simulate fault ride-through characteristics, providing reliable guidance for improving renewable energy consumption and ensuring the safe and stable operation of the power grid.

[0073] ③ The third set of new energy power generation models

[0074] To further support power grid calculations and reduce inconsistencies in calculation conclusions caused by differences in models and parameters, the PSD-ST and PSASP programs have standardized new energy models, establishing a third set of new energy power generation models. This model unifies the wind turbine model, photovoltaic power generation model, and energy storage system model across every control module and stage in both programs, and also achieves a one-to-one correspondence of relevant parameters. This provides a more accurate and reliable guide for power grid planning, design, and dispatching calculations.

[0075] After selecting the static model template for the new energy unit, set the single-unit capacity to determine the number of new energy units in the dynamic model.

[0076] Since the dynamic model and the static model are in one-to-one correspondence, the bus names in the dynamic model template of the new energy unit are consistent with those in the static template.

[0077] More specifically, the following is an example of a dynamic model template for new energy unit in this solution:

[0078]

[0079] This step ultimately forms a comprehensive system comprising generator sets, step-up transformers, and connecting lines from low to high voltage, as well as a new energy unit model template containing new energy unit model parameters, enabling complete management of static and dynamic models and parameters across multiple stages.

[0080] S4. Generate static and dynamic models of new energy sources in batches based on the new energy access point and new energy unit model template.

[0081] In this solution, step S4 specifically includes:

[0082] (1) Obtain the name of the access point transformer of the new energy access point;

[0083] (2) Based on the name of the access point transformer, the generated new energy static model and new energy dynamic model are based on the voltage level and refer to the name of the access point transformer. H or M or L is added after the name of the access point transformer as the bus name of different voltage levels in the new energy model. If multiple buses are connected to the same voltage level, A, B, C... are added after H, M, L to distinguish them.

[0084] It should be noted that the transformer at the access point must contain the highest voltage level of the new energy template data.

[0085] Taking Tianjin Chaoyin Temple Station as an example, this paper explains the new energy model generated based on the new energy unit model template.

[0086] Static new energy model:

[0087]

[0088] Dynamic New Energy Model:

[0089]

[0090] S5. After batch generating the static and dynamic models of new energy, add the static model of new energy to the .dat file; add the dynamic model of new energy to the .swi file.

[0091] In step 5, the batch-generated static models of new energy sources are added to the .dat file, and the batch-generated dynamic models of new energy sources are added to the .swi file, ultimately generating a PSD tidal flow and stability data file containing a massive amount of new energy sources.

[0092] Example 2

[0093] like Figure 2 As shown, a rapid modeling device for massive amounts of new energy includes:

[0094] The first acquisition module is used to acquire a pre-built integrated digital model of the power transmission and distribution network.

[0095] The access point positioning module is used to locate the new energy access point in the integrated digital model of the power transmission and distribution network.

[0096] The second acquisition module is used to acquire a pre-built new energy unit model template;

[0097] The model generation module is used to generate static and dynamic new energy models in batches based on the new energy access points and new energy unit model templates.

[0098] Example 3

[0099] like Figure 3 As shown, the present invention also provides an electronic device 100 for implementing a rapid modeling method for massive new energy sources according to Embodiment 1. The electronic device 100 includes a memory 101, at least one processor 102, a computer program 103 stored in the memory 101 and executable on the at least one processor 102, and at least one communication bus 104. The memory 101 can be used to store the computer program 103, and the processor 102 implements the steps of the rapid modeling method for massive new energy sources according to Embodiment 1 by running or executing the computer program stored in the memory 101 and calling data stored in the memory 101.

[0100] The memory 101 may primarily include a program storage area and a data storage area. The program storage area may store the operating system, application programs required for at least one function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created based on the use of the electronic device 100 (such as audio data), etc. In addition, the memory 101 may include non-volatile memory, such as hard disk, RAM, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other non-volatile solid-state storage device.

[0101] At least one processor 102 may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Processor 102 may be a microprocessor or any conventional processor. Processor 102 is the control center of electronic device 100, connecting various parts of electronic device 100 via various interfaces and lines.

[0102] The memory 101 in the electronic device 100 stores multiple instructions to implement a rapid modeling method for massive new energy sources, and the processor 102 can execute multiple instructions to achieve the following:

[0103] Obtain a pre-built integrated digital model of the power transmission and distribution network;

[0104] Locate the new energy access point in the integrated digital model of the power transmission and distribution network;

[0105] Obtain a pre-built new energy unit model template;

[0106] Based on the new energy access point and new energy unit model template, batch generate new energy static models and new energy dynamic models.

[0107] Example 4

[0108] If the modules / units integrated in the electronic device 100 are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, and read-only memory (ROM).

[0109] 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.

[0110] 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.

[0111] 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.

[0112] 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.

[0113] In the description of this specification, references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0114] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A rapid modeling method for massive amounts of new energy, characterized in that, Includes the following steps: Obtain a pre-built integrated digital model of the power transmission and distribution network; Locating new energy access points in the integrated digital model of the power transmission and distribution network specifically includes: obtaining all power grid buses in the integrated digital model of the power transmission and distribution network to form a bus set; using bus keywords, voltage levels, and power grid zones as set conditions, matching the bus name, bus voltage, and power grid zone of each bus with the set conditions; and forming a bus set Φ from the matched buses. b and for the bus set Φ b Perform hash mapping processing; based on the set conditions, traverse the transformer branches, extract two buses for each transformer branch, and query based on the hash mapping to determine whether all extracted buses exist in the bus set Φ. b If such a transformer branch exists, it is selected as the target transformer, ultimately forming the target transformer set Φ. T According to the PSD-BPA renewable energy access rules, the target transformer set Φ is... T As a given condition, a set of transformers at the new energy access point Φ is formed. NG Among them, the elements in the set of access point transformers are used as new energy access points; Obtain pre-built new energy unit model templates; wherein, the new energy unit model templates are static model templates, dynamic model templates, and parameter templates constructed and saved in the new energy template library based on the PSD-BPA power grid simulation calculation data specifications according to different types of new energy unit models and on-site wiring methods. The static model template includes bus node information, line information, and transformer information. The dynamic model template includes the new energy power generation model in the PSD-ST transient stability program, and the bus names in the dynamic model template are consistent with those in the static model template. The new energy unit model template includes a comprehensive system of generator-transformer groups, step-up transformers, and connecting lines from low voltage to high voltage, as well as new energy unit model parameters; wherein, the voltage level of the comprehensive system ranges from low voltage to high voltage. After selecting the static model template for the new energy unit, set the single-unit capacity to determine the number of new energy units in the dynamic model; Based on the aforementioned new energy access point and new energy unit model templates, batch generation of new energy static and dynamic models is performed. Specifically, this includes: obtaining the access point transformer name; using the access point transformer name as a basis, adding "H," "M," or "L" after the access point transformer name to represent different voltage levels in the generated new energy static and dynamic models, according to voltage level; if multiple buses are connected at the same voltage level, adding "A," "B," "C," etc. after "H," "M," and "L" to distinguish them; wherein, the access point transformer contains the highest voltage level from the new energy template data. After generating static and dynamic models of new energy sources in batches, the static models are added to the .dat file, and the dynamic models are added to the .swi file, generating a PSD tidal flow and stability data file containing a large amount of new energy sources.

2. The rapid modeling method for massive new energy sources according to claim 1, characterized in that, The method for matching the busbar name, busbar voltage, and power grid zone with the set conditions is as follows: The method for matching the bus name with the set bus keyword is as follows: if the string is A and the keyword is a, then if the keyword a exists in the string A, then it is a match; The method for matching the bus voltage with the set voltage level is as follows: set the highest voltage level to Umax and the lowest to U. min The node voltage is U. If U min <U<U max If , then it matches; The method for matching power grid partitions with the configured power grid partitions is as follows: set the partition as Z={z1, z2, ...}, and the node partition as z b If z b If ∈Z, then it matches.

3. The rapid modeling method for massive new energy sources according to claim 1, characterized in that, Target transformer set Φ T The method for forming the set of access point transformers ΦNG based on the given conditions is as follows: Let the target transformer set be... Then, based on the new energy access requirements, the set of transformers at the access point is determined. , where Φ NG For Φ T A subset of.

4. A rapid modeling device for massive amounts of new energy, characterized in that, include: The first acquisition module is used to acquire a pre-built integrated digital model of the power transmission and distribution network. The access point positioning module is used to locate new energy access points in the integrated digital model of the power transmission and distribution network. Specifically, the access point positioning module is used to: acquire all power grid buses in the integrated digital model of the power transmission and distribution network, forming a bus set; use bus keywords, voltage levels, and power grid zones as set conditions, and match the bus name, bus voltage, and power grid zone with the set conditions respectively; and form a bus set Φ from the matched buses. b and for the bus set Φ b Perform hash mapping processing; based on the set conditions, traverse the transformer branches, extract two buses for each transformer branch, and query based on the hash mapping to determine whether all extracted buses exist in the bus set Φ. b If such a transformer branch exists, it is selected as the target transformer, ultimately forming the target transformer set Φ. T According to the PSD-BPA renewable energy access rules, the target transformer set Φ is... T As a set of conditions, a set of new energy access point transformers ΦNG is formed; wherein, the elements in the set of access point transformers are new energy access points; The second acquisition module is used to acquire pre-constructed new energy unit model templates. These templates are static model templates, dynamic model templates, and parameter templates built and saved in the new energy template library based on different types of new energy unit models and on-site wiring methods, according to the PSD-BPA power grid simulation calculation data specifications. The static model template includes bus node information, line information, and transformer information. The dynamic model template includes the new energy power generation model in the PSD-ST transient stability program, and the bus names in the dynamic model template are consistent with those in the static model template. The new energy unit model template includes a comprehensive system of generator-transformer units, step-up transformers, and connecting lines from low voltage to high voltage, as well as new energy unit model parameters. The voltage levels of the comprehensive system range from low voltage to high voltage. The model generation module is used to select a static model template for a new energy unit, set the single-unit capacity to determine the number of new energy units in the dynamic model, and batch generate new energy static and dynamic models based on the new energy access point and new energy unit model template. Specifically, the model generation module is used to: obtain the name of the access point transformer for the new energy access point; based on the access point transformer name, add H, M, or L after the access point transformer name to represent the bus names for different voltage levels in the new energy model; if multiple buses are connected at the same voltage level, A, B, C, etc. are added after H, M, L to distinguish them; the access point transformer contains the highest voltage level of the new energy template data; after batch generating the new energy static and dynamic models, the new energy static model is added to a .dat file, and the new energy dynamic model is added to a .swi file, generating a PSD power flow and stability data file containing a large amount of new energy data.

5. An electronic device, characterized in that, It includes a processor and a memory, wherein the processor is used to execute a computer program stored in the memory to implement the rapid modeling method for massive new energy sources as described in any one of claims 1 to 3.

6. A computer-readable storage medium, characterized in that, A computer-readable storage medium stores at least one instruction, which, when executed by a processor, implements the rapid modeling method for massive new energy sources as described in any one of claims 1 to 3.

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