New energy simulation model management method and device, electronic equipment and storage medium

Abstract

The invention relates to a new energy simulation model management method and device, electronic equipment and a storage medium, and relates to the technical field of power system digital simulation, and the method comprises the steps: constructing an element model library, an equipment model library and an algorithm model library; according to the electrical information and modeling precision requirements of the new energy station, indexing the element model library, the equipment model library and the algorithm model library, and constructing a new energy station model library; according to the new energy base electrical information and modeling precision requirements, indexing the element model library, the equipment model library and the new energy station model library, and constructing a new energy base model library; and formulating naming and query calling rules for the different levels of model libraries. Therefore, unified modeling management can be carried out on the new energy station project, repeated information collection and basic element modeling and analysis work are reduced, and the management and calling efficiency is improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of digital simulation of power systems, and in particular to a new energy simulation model management method, device, electronic equipment and storage medium. Background Art

[0002] In order to accelerate the realization of the "dual carbon" goal, my country has vigorously developed new energy, and the installed capacity of new energy in various regions has been continuously expanded. The transient and steady-state stability problems such as broadband oscillation and transient overvoltage, in which the power electronic characteristics are the dominant influencing factors, have become increasingly prominent. Therefore, the steady-state control and transient response characteristics of power electronic equipment have received extensive attention. Accurately grasping the transient and steady-state characteristics of new energy units is the premise and basis for solving the above problems.

[0003] Currently, commercial electromagnetic transient simulation model software can be used to build refined models of new energy stations, with simulation steps up to microseconds, which can accurately reflect the transient characteristics of new energy power electronic equipment. Building a full electromagnetic transient simulation model for new energy stations is used as the main technical means and theoretical basis for grid-connected stability assessment, especially for broadband oscillation problems. Impedance scanning and simulation verification of electromagnetic transient simulation for new energy stations are currently effective solutions.

[0004] At present, the modeling work for new energy stations / bases has been effectively carried out, but it is usually based on scattered new energy station projects, not unified modeling management, which inevitably produces repeated collection and basic element modeling and analysis work, and the overall efficiency is low. At present, a large number of new energy stations that have been built, are under construction, and are planned to be built have put forward higher requirements for the efficiency of modeling and the rationality of model management. Summary of the invention

[0005] In order to solve the above technical problems, the present disclosure provides a new energy simulation model management method, device, electronic device and storage medium for unified and efficient management of simulation models of new energy stations.

[0006] In a first aspect, the present disclosure provides a new energy simulation model management method, including: separately constructing a component model library, a device model library, and an algorithm model library; indexing the component model library, the device model library, and the algorithm model library according to the electrical information and modeling accuracy requirements of the new energy station, constructing different new energy station models, and forming a new energy station model library; indexing the component model library, the device model library, and the new energy station model library according to the electrical information and modeling accuracy requirements of the new energy base, constructing different new energy base models, and forming a new energy base model library; formulating naming and query calling rules for the above-mentioned different levels of model libraries.

[0007] Optionally, the component model library includes at least component name, manufacturer name, specific model, power, voltage, and test curve; the equipment model library includes at least machine type, electrical parameters, and topological structure; the algorithm model library includes at least control strategy, modulation strategy algorithm, average value model, new energy unit equivalent multiplication, and impedance sweep.

[0008] Optionally, the devices in the device model library include at least photovoltaic power generation units, wind turbines, energy storage units, transformers, box transformers, and converter stations.

[0009] Optionally, the control strategies in the algorithm model library include at least current source control and network control based on linear controllers and typical damping control strategies, as well as model predictive control and sliding mode variable structure control in nonlinear control strategies.

[0010] Optionally, the modeling process of the new energy station model library includes: obtaining the primary wiring diagram of the new energy station and the output parameter table of each collection line under typical operating conditions; querying the basic elements and algorithms required for modeling in the component model library, equipment model library and algorithm model library. If they are not available in each model library, they will be supplemented into the library; constructing a new energy station model topology that meets the accuracy requirements, filling in the operating parameters, and running the simulation.

[0011] Optionally, the management method also includes performing steady-state and transient performance tests on the new energy station models in the new energy station model library, including at least impedance sweep frequency, high and low voltage and fault ride-through simulation experimental tests, obtaining test curves, and including them in the new energy station model library.

[0012] Optionally, the naming and query calling rules for model libraries at different levels include: the naming of components in the component model library at least includes component category, manufacturer name, specific model, key parameters, modeling time, and model version; the devices in the equipment model library are named according to the manufacturer's packaged model and the self-built equipment model; the naming of algorithms in the algorithm model library at least includes algorithm category, algorithm name, modeling time, and model version; the naming of stations in the new energy station model library at least includes station category, station coordinates, station name, station capacity, equivalent modeling method, modeling time, and model version; the naming of bases in the new energy base model library at least includes base category, base area, station name, equivalent modeling method, modeling time, and model version.

[0013] In the second aspect, the present disclosure provides a new energy simulation model retrieval device, including: a first construction module, used to create a component model library, a device model library and an algorithm model library; a second construction module, used to index the component model library, the device model library, and the algorithm model library according to the electrical information and modeling accuracy requirements of the new energy station, construct different new energy station models, and form a new energy station model library; a third construction module, used to index the component model library, the device model library, and the algorithm model library according to the electrical information and modeling accuracy requirements of the new energy base, construct different new energy base models, and form a new energy base model library; a calling module, used to formulate naming and query calling rules for the above-mentioned different levels of model libraries.

[0014] In the third aspect, based on the same inventive concept, the present disclosure provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the new energy simulation model management method as described in the first aspect is implemented.

[0015] In a fourth aspect, based on the same inventive concept, the present disclosure provides a storage medium on which a computer program is stored, and when the computer program is executed by a processor, the new energy simulation model management method as described in the first aspect is implemented.

[0016] Compared with the prior art, the technical solution provided by the embodiments of the present disclosure has the following advantages:

[0017] The component model library, equipment model library, algorithm model library, new energy station model library, and new energy base model library can be uniformly modeled and managed to build a multi-level model library with clear hierarchy, which is conducive to the refined management of new energy station and base models, reduces repetitive collection and modeling and analysis work of basic elements, and improves model management efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0019] In order to more clearly illustrate the embodiments of the present invention 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, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0020] Figure 1 The figure is a flow chart of the steps of a new energy simulation model management method provided by an embodiment of the present disclosure;

[0021] Figure 2Shown is a schematic diagram of a new energy simulation model retrieval device provided by an embodiment of the present disclosure;

[0022] Figure 3 Shown is a schematic diagram of a photovoltaic power station topology structure provided by an embodiment of the present disclosure;

[0023] Figure 4 The figure shows a topological schematic diagram of a photovoltaic power generation unit manufacturer packaging model provided by an embodiment of the present disclosure;

[0024] Figure 5 Shown is a schematic diagram of impedance characteristics of a photovoltaic inverter provided by an embodiment of the present disclosure;

[0025] Figure 6 Shown is a parallel equivalent schematic diagram of a new energy power generation unit provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0026] In order to more clearly understand the above-mentioned objectives, features and advantages of the present disclosure, the scheme of the present disclosure will be further described below. It should be noted that the embodiments of the present disclosure and the features in the embodiments can be combined with each other without conflict.

[0027] In the following description, many specific details are set forth to facilitate a full understanding of the present disclosure, but the present disclosure may also be implemented in other ways different from those described herein; it is obvious that the embodiments in the specification are only part of the embodiments of the present disclosure, rather than all of the embodiments.

[0028] Figure 1 The figure shows a flow chart of the steps of a new energy simulation model management method provided by the embodiment of the present disclosure. Please refer to Figure 1 The present disclosure provides a new energy simulation model management method, including: step S1: constructing a component model library, a device model library, and an algorithm model library respectively; step S2: indexing the component model library, the device model library, and the algorithm model library according to the electrical information and modeling accuracy requirements of the new energy station, constructing different new energy station models, and forming a new energy station model library; step S3: indexing the component model library, the device model library, and the new energy station model library according to the electrical information and modeling accuracy requirements of the new energy base, constructing different new energy base models, and forming a new energy base model library; step S4: formulating naming and query calling rules for model libraries at different levels.

[0029] Specifically, in step S1, building a component model library specifically includes: collecting models of IGBT (Insulate-Gate Bipolar Transistor), photovoltaic modules, energy storage battery modules, collection lines, transmission lines, etc. from different manufacturers and models to build a component model library. Building an equipment model library specifically includes: collecting models of photovoltaic power generation units, wind turbines, energy storage units, transformers, box transformers, converter stations, etc. from different manufacturers and models to build an equipment model library. Building an algorithm model library specifically includes: collecting control strategies, modulation strategy algorithms, etc. for wind power, photovoltaics, energy storage, SVG (Static Var Generator) and other related power electronic equipment, two-level and multi-level VSC (Multi-level Voltage Source Converter) average value models, new energy units equivalent multiplication, impedance sweeping algorithms, etc., to build an algorithm model library.

[0030] In step S2, constructing a new energy station model library is specifically as follows: according to the electrical information and modeling accuracy requirements of the new energy station, indexing the above-mentioned component model library, equipment model library, and algorithm model library, constructing different new energy station models, and forming a new energy station model library.

[0031] In step S3, the construction of the new energy base model library is specifically as follows: according to the electrical information and modeling accuracy requirements of the new energy station, the above-mentioned component model library, equipment model library, and new energy station model library are indexed to construct different new energy base models to form a new energy base model library.

[0032] In step S4, naming and query calling rules are formulated for the component model library, equipment model library, algorithm model library, new energy site model library, and new energy base model library constructed above.

[0033] In this way, by constructing a component model library, an equipment model library, and an algorithm model library, and on this basis constructing a new energy station model library, and further constructing a new energy base model library, a multi-level model library can be established to integrate scattered component, equipment, algorithm and other models, which is conducive to the unified and efficient management of simulation models of new energy stations and bases, and improves the efficiency and rationality of modeling.

[0034] Please continue to refer to Figure 1 In an optional embodiment provided in the present disclosure, the component model library constructed in step S1 includes at least component name, manufacturer name, specific model, power, voltage, and test curve; the equipment model library constructed in step S1 includes at least machine type, electrical parameters, and topological structure; the algorithm model library constructed in step S1 includes at least control strategy, modulation strategy algorithm, average value model, new energy unit equivalent multiplication, and impedance sweep.

[0035] Specifically, the IGBT model parameters constructed in step S1 include manufacturer model, maximum rated voltage, maximum rated current, maximum rated power and switching speed; the photovoltaic module parameters include manufacturer model, maximum power, maximum operating voltage, maximum operating current, open circuit voltage, short circuit current, maximum system voltage; the energy storage battery parameters include manufacturer model, capacity, discharge rate, charge and discharge current, voltage range, operating temperature range; including the collection and transmission line parameters including the manufacturer model unit length equivalent resistance, equivalent inductance and equivalent capacitance and line length.

[0036] Optionally, test curves of IGBT, photovoltaic modules, energy storage batteries, etc. are collected and stored in the database.

[0037] Optionally, the photovoltaic power generation unit model in the device model library constructed in step S1 is a manufacturer's packaged model, whose topology includes photovoltaic components, boost circuits and grid-connected inverters, whose control part is a black box model, and the remaining electrical parameters are filled in according to actual conditions.

[0038] Optionally, the wind turbine model in the equipment model library constructed in step S1 is a manufacturer packaged model, including two types of direct drive and doubly fed models. The direct drive wind turbine topology includes a permanent magnet synchronous motor, a machine-side converter, and a grid-side converter. Its control part is a black box model, and the remaining electrical parameters are filled in according to actual conditions.

[0039] Optionally, the energy storage unit in the device model library constructed in step S1 includes a battery pack and an energy storage converter, and the control part of the energy storage converter is a black box model.

[0040] Optionally, the equipment in the equipment model library includes at least photovoltaic power generation units, wind turbines, energy storage units, transformers, box transformers, and converter stations.

[0041] Furthermore, steady-state and transient performance tests are carried out on photovoltaic power generation units, wind turbines, energy storage units, etc., including impedance sweep, high and low voltage and fault ride-through simulation experiments, etc., to obtain test curves and store them in the database.

[0042] Optionally, the control strategies for wind power, photovoltaics, energy storage, SVG, etc. in the algorithm model library constructed in step S1 include current source control and grid control based on linear controllers and typical damping control strategies, as well as nonlinear control strategies such as model predictive control and sliding mode variable structure control.

[0043] In this way, by including various indicators such as component and equipment types, performance parameters, and steady-state and transient performance test curves of each device into the corresponding model library, the important parameter information of various model libraries can be made richer as much as possible, which is conducive to the construction of new energy station models and new energy base models.

[0044] Please continue to refer to Figure 1 In an optional embodiment provided in the present disclosure, in step S2, the modeling process of the new energy station model library includes: obtaining the primary wiring diagram of the new energy station and the output parameter table of each collector line under typical working conditions; querying the basic elements and algorithms required for modeling in the component model library, the equipment model library and the algorithm model library. If they are not available in each model library, they are supplemented into the library; constructing a new energy station model topology that meets the accuracy requirements, filling in the working condition parameters, and running the simulation.

[0045] Specifically, for the modeling of photovoltaic power generation units, wind turbines, and energy storage units, you can choose the manufacturer's packaged model in the equipment model library or the white box model built based on the component model library and algorithm model library; based on the basic elements and algorithms obtained from the query, build a new energy station model topology that meets the accuracy requirements, fill in the operating parameters, and run the simulation.

[0046] Optionally, conduct steady-state and transient performance tests on the new energy stations, including impedance sweep, high and low voltage and fault ride-through simulation experiments, to obtain test curves and store them in the database.

[0047] In this way, based on the basic elements and algorithms in the component model library, equipment model library, and algorithm model library, a new energy station model library that meets the accuracy requirements can be constructed according to the wiring diagram of the new energy station, and steady-state and transient performance tests can be performed on it, and the test curves can be obtained and included in the new energy station model library. This can provide unified and efficient simulation model management for the transient and steady-state stability problems brought about by the current large-scale grid connection of new energy.

[0048] Furthermore, steady-state and transient performance tests are performed on the new energy station models in the new energy station model library, including impedance sweep, high and low voltage and fault ride-through simulation experiments, to obtain test curves and store them in the library.

[0049] Please continue to refer to Figure 1 In an optional embodiment provided in the present disclosure, in step S4, formulating naming and query calling rules for model libraries at different levels includes: naming components in the component model library at least including component category, manufacturer name, specific model, key parameters, modeling time, and model version; naming the devices in the equipment model library according to the manufacturer's packaged model and the self-built equipment model; naming the algorithms in the algorithm model library at least including algorithm category, algorithm name, modeling time, and model version; naming the stations in the new energy station model library at least including station category, station coordinates, station name, station capacity, equivalent modeling method, modeling time, and model version; naming the bases in the new energy base model library at least including base category, base area, station name, equivalent modeling method, modeling time, and model version.

[0050] Optionally, the naming of the device model library includes the following two types: For manufacturer packaged models, the naming includes device category, manufacturer name, specific model, key parameters, modeling time, model version, etc. For self-built device models, the naming includes device category, user-defined name and number, key parameters, modeling time, model version, etc.

[0051] In this way, naming the corresponding model libraries according to their categories and characteristic information is conducive to efficient and unified management of the model libraries and improving management and calling efficiency.

[0052] Figure 2 The figure shows a schematic diagram of a new energy simulation model retrieval device provided by the embodiment of the present disclosure. Figure 1 to Figure 2 The present disclosure provides a new energy simulation model retrieval device 100, including: a first construction module 10, used to create a component model library, a device model library and an algorithm model library; a second construction module 20, used to index the component model library, the device model library, and the algorithm model library according to the electrical information and modeling accuracy requirements of the new energy station, and construct different new energy station models to form a new energy station model library; a third construction module 30, used to index the component model library, the device model library, and the algorithm model library according to the electrical information and modeling accuracy requirements of the new energy base, and construct different new energy base models to form a new energy base model library; a calling module 40, used to formulate naming and query calling rules for the above-mentioned different levels of model libraries.

[0053] Figure 3 FIG. 1 is a schematic diagram of a photovoltaic power station topology structure provided by an embodiment of the present disclosure. Figure 4 The figure shows a topological schematic diagram of a photovoltaic power generation unit manufacturer packaging model provided by an embodiment of the present disclosure. Figure 5 FIG. 1 is a schematic diagram of impedance characteristics of a photovoltaic inverter provided by an embodiment of the present disclosure. Figure 6 The figure shows a schematic diagram of a parallel equivalent connection of a new energy power generation unit provided by an embodiment of the present disclosure. Figures 1 to 6 In an optional embodiment provided in the present disclosure, a 200MW photovoltaic power station is used as an example, and its topological structure is as follows Figure 3 As shown, the photovoltaic power generation unit is boosted to 35kV by the box transformer and then sent to the main transformer by the collection line. The main transformer then boosts the voltage to 220kV and sends it out through the AC line.

[0054] The first building module 10 is used to create a component model library. The IGBT parameters of a certain manufacturer model collected in the component model library are shown in Table 1.

[0055] Table 1 IGBT parameter table of a certain manufacturer

[0056] name parameter Manufacturer Model / Maximum rated voltage 1200V Gate-emitter peak voltage ±20V Maximum rated current 600A Turn-on energy loss 14.1mJ Turn off energy loss 36.9mJ(25℃) Delay in opening 0.41us(25℃) Turn-off delay 0.66us(25℃)

[0057] The photovoltaic module parameters of a certain manufacturer model collected in the component model library are shown in Table 2.

[0058] Table 2 Parameters of photovoltaic modules of a certain manufacturer

[0059] name parameter Manufacturer Model / Maximum Power 500W Operating voltage 40V Working current 10.35A Open circuit voltage 45V Short circuit current 10.69A Number of batteries 144 System voltage 1500V

[0060] Optionally, the new energy simulation model retrieval device 100 includes electromagnetic transient simulation software for constructing analytical models corresponding to IGBTs and photovoltaic components.

[0061] The first building module 10 is also used to create a device model library. The device model library collects the packaging model topology of a photovoltaic power generation unit manufacturer such as Figure 4 As shown, the photovoltaic battery group is equivalent to a controlled voltage source, and its voltage is adjustable. The photovoltaic battery group is connected to the DC side of the photovoltaic inverter through a boost circuit, and the AC side of the photovoltaic inverter serves as an output port.

[0062] The AC port of the photovoltaic inverter is swept, and its impedance characteristics are as follows: Figure 5 As shown in the figure, its impedance characteristics have inductive and capacitive negative damping in the sub / supersynchronous frequency band.

[0063] The main parameters of the station main transformer and box transformer collected in the equipment model library are shown in Tables 3 and 4. According to the parameters in the table, a mathematical model is constructed in the electromagnetic transient simulation software and included in the library.

[0064] Table 3 Main transformer parameters

[0065]

[0066] Table 4 Box transformer parameters

[0067]

[0068] The first building module 10 is also used to create an algorithm model library. It collects control strategies, modulation strategy algorithms, etc. of wind power, photovoltaics, energy storage, SVG and other related power electronic equipment, average value models of two-level and multi-level VSC, equivalent multiplication and impedance sweep algorithms of new energy units, and builds an algorithm model library.

[0069] Photovoltaic power stations include hundreds or thousands of photovoltaic power generation units. Due to the limitation of computer computing power, it is impossible to model each inverter in detail. Equivalence simplification is required, usually using the multiplication of new energy units. Equivalence can be achieved by connecting controlled current sources in parallel. Please refer to Figure 6 , the left side is the AC port multiplication method of the new energy power generation unit, and the right side is the DC port multiplication method of the new energy power generation unit.

[0070] The second building module 20 is used to build a new energy station model library. The new energy station modeling process is as follows: obtain the primary wiring diagram of the station and the output parameter table of each collector line under typical working conditions;

[0071] In the component model library, equipment model library and algorithm model library, search for the basic elements and algorithms required for modeling. If they are not available in the model library, add them to the library.

[0072] Optionally, for the modeling of photovoltaic power generation units, wind turbines, and energy storage units, the manufacturer's packaged model in the equipment model library or the white box model built based on the component model library and the algorithm model library can be used;

[0073] Based on the basic elements and algorithms obtained from the query, a new energy station model topology that meets the accuracy requirements is constructed, and the operating parameters are filled in to run the simulation.

[0074] The third construction module 30 is used to construct a new energy base model library. Based on the component model library, equipment model library and site model library constructed by the first construction module 10, according to the electrical information and modeling accuracy requirements of the new energy base, it indexes basic modeling elements, constructs different new energy base models, and forms a new energy base model library.

[0075] Please combine Figures 1 to 6 In a new energy simulation model retrieval device 100 provided in the present disclosure, a calling module 40 is used to formulate naming and query calling rules for the above-mentioned different levels of model libraries. The naming rules include: the naming of components in the component model library at least includes component category, manufacturer name, specific model, key parameters, modeling time, and model version. For example, a certain manufacturer's IGBT is named IGBT_Manufacturer_Model_1200V_600A_20241101_v1.

[0076] The naming of the devices in the device model library is performed according to the manufacturer package model and the self-built device model. Specifically, the calling module 40 names the manufacturer package model in the device model library including the device category, manufacturer name, specific model, key parameters, modeling time, and model version. For the self-built device model, its naming includes the device category, user-defined name and number, key parameters, modeling time, and model version. For example, a photovoltaic power generation unit of a certain manufacturer is named PVmodul_Manufacturer_Model_300kW_1500V_20241101_v1.

[0077] The naming of algorithms in the algorithm model library includes at least algorithm category, algorithm name, modeling time, and model version; illustratively, the multiplication algorithm is named REGequal_multiplyCS_20241101_v1.

[0078] The naming of the field stations in the new energy field station model library at least includes field station category, field station coordinates, field station name, field station capacity, equivalent modeling method, modeling time, and model version; illustratively, the new energy field station model is named PVplant_coordinates_name_200MW_clusterequal_20241101_v1.

[0079] The naming of the base in the new energy base model library includes at least base category, base area, site name, equivalent modeling method, modeling time, and model version. For example, the new energy base model is named PVbase_area_name_4000MW_plantequal_20241101_v1.

[0080] In this way, by naming the models at each level, the characteristic information of the models at each level is visualized in the name of the model, which is convenient for users to call the models at each level, the hierarchy is clear, the retrieval or calling time is shortened, and the management efficiency is improved.

[0081] Please combine Figures 1 to 6 In an optional embodiment provided by the present disclosure, the component model library includes at least component name, manufacturer model, power, voltage, and test curve; the equipment model library includes at least machine type, electrical parameters, and topological structure; the algorithm model library includes at least control strategy, modulation strategy algorithm, average value model, new energy unit equivalent multiplication, and impedance sweep.

[0082] Specifically, IGBT model parameters include manufacturer model, maximum rated voltage, maximum rated current, maximum rated power and switching speed; PV module parameters include manufacturer model, maximum power, maximum operating voltage, maximum operating current, open circuit voltage, short circuit current, and maximum system voltage; energy storage battery parameters include manufacturer model, capacity, discharge rate, charge and discharge current, voltage range, and operating temperature range; collection and transmission line parameters include manufacturer model unit length equivalent resistance, equivalent inductance and equivalent capacitance, as well as line length.

[0083] Optionally, test curves of IGBT, photovoltaic modules, energy storage batteries, etc. are collected and stored in the database.

[0084] Optionally, the photovoltaic power generation unit model in the device model library is a manufacturer's packaged model, whose topology includes photovoltaic components, boost circuits and grid-connected inverters, whose control part is a black box model, and the remaining electrical parameters are filled in according to actual conditions.

[0085] Optionally, the wind turbine model in the equipment model library is a manufacturer packaged model, including direct drive and doubly fed models. The direct drive wind turbine topology includes a permanent magnet synchronous motor, a machine-side converter, and a grid-side converter. The control part is a black box model, and the remaining electrical parameters are filled in according to actual conditions.

[0086] Optionally, the energy storage unit in the device model library includes a battery pack and an energy storage converter, and the control part of the energy storage converter is a black box model.

[0087] Furthermore, steady-state and transient performance tests are carried out on photovoltaic power generation units, wind turbines, energy storage units, etc., including impedance sweep, high and low voltage and fault ride-through simulation experiments, etc., to obtain test curves and store them in the database.

[0088] Optionally, the control strategies for wind power, photovoltaic, energy storage, SVG, etc. in the algorithm model library include but are not limited to current source control and network control based on linear controllers and typical damping control strategies, including but not limited to model predictive control and sliding mode variable structure control in nonlinear control strategies. The present disclosure does not specifically limit the types of control strategies included in the algorithm model library, and they can be included in the library according to actual conditions.

[0089] In this way, by including various indicators such as component and equipment types, performance parameters, and steady-state and transient performance test curves of each device into the corresponding model library, the important parameter information of various model libraries in the new energy simulation model retrieval device 100 can be made as rich as possible, which is conducive to the construction of new energy station models and new energy base models.

[0090] Please combine Figures 1 to 6 In an optional embodiment provided in the present disclosure, the modeling process of the new energy station model library includes: obtaining the primary wiring diagram of the new energy station and the output parameter table of each collector line under typical working conditions; querying the basic elements and algorithms required for modeling in the component model library, the equipment model library and the algorithm model library. If they are not available in each model library, they will be supplemented into the library; constructing a new energy station model topology that meets the accuracy requirements, filling in the working condition parameters, and running the simulation.

[0091] Specifically, for the modeling of photovoltaic power generation units, wind turbines, and energy storage units, you can choose the manufacturer's packaged model in the equipment model library or the white box model built based on the component model library and algorithm model library; based on the basic elements and algorithms obtained from the query, build a new energy station model topology that meets the accuracy requirements, fill in the operating parameters, and run the simulation.

[0092] Optionally, conduct steady-state and transient performance tests on the new energy stations, including impedance sweep, high and low voltage and fault ride-through simulation experiments, to obtain test curves and store them in the database.

[0093] In this way, based on the basic elements and algorithms in the component model library, equipment model library, and algorithm model library, a new energy station model library that meets the accuracy requirements can be constructed according to the wiring diagram of the new energy station, and steady-state and transient performance tests can be performed on it, and the test curves are obtained and included in the new energy station model library in the new energy simulation model retrieval device 100. This can provide unified and efficient simulation model management for the transient and steady-state stability problems brought about by the current large-scale grid connection of new energy.

[0094] The present disclosure provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the new energy simulation model management method as described above is implemented.

[0095] Optionally, the electronic device includes but is not limited to desktop computers, laptop computers, mainframe computers, etc. The present disclosure does not specifically limit the type of electronic device, and it only needs to include a memory, a processor, and a computer program stored on and executable on the processor.

[0096] The present disclosure provides a storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the new energy simulation model management method as described above is implemented.

[0097] Optionally, the storage medium may be included in the above electronic device, or may exist independently.

[0098] Optionally, the storage medium includes a portable hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or other combinations of the above.

[0099] In summary, the present disclosure provides a new energy simulation model management method, device, electronic device and storage medium, including: constructing a component model library, a device model library and an algorithm model library respectively; indexing the component model library, the device model library and the algorithm model library according to the electrical information and modeling accuracy requirements of the new energy station, constructing different new energy station models, and forming a new energy station model library; indexing the component model library, the device model library and the new energy station model library according to the electrical information and modeling accuracy requirements of the new energy base, constructing different new energy base models, and forming a new energy base model library; formulating naming and query calling rules for model libraries at different levels. In this way, unified modeling management of new energy projects can be carried out, and a multi-level model library with clear hierarchy can be constructed, which is conducive to the refined management of new energy station and base models, reduces repetitive collection and modeling analysis work of basic elements, and improves model management efficiency.

[0100] The above description is only a specific embodiment of the present disclosure, so that those skilled in the art can understand or implement the present disclosure. 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 disclosure. Therefore, the present disclosure will not be limited to the embodiments described herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A new energy simulation model management method, characterized in that: include: Build component model library, equipment model library, and algorithm model library respectively; According to the electrical information and modeling accuracy requirements of the new energy station, the component model library, the equipment model library, and the algorithm model library are indexed to construct different new energy station models to form a new energy station model library; According to the electrical information and modeling accuracy requirements of the new energy base, the component model library, the equipment model library, and the new energy site model library are indexed to construct different new energy base models to form a new energy base model library; Establish naming and query calling rules for model libraries at different levels.

2. The new energy simulation model management method according to claim 1, characterized in that: The component model library at least includes component name, manufacturer name, specific model, power, voltage, and test curve; The device model library at least includes machine type, electrical parameters, and topological structure; The algorithm model library at least includes control strategy, modulation strategy algorithm, average value model, new energy unit equivalent multiplication, and impedance sweep.

3. The new energy simulation model management method according to claim 1, characterized in that: The equipment in the equipment model library at least includes photovoltaic power generation units, wind turbines, energy storage units, transformers, box transformers, and converter stations.

4. The new energy simulation model management method according to claim 1, characterized in that: The control strategies in the algorithm model library at least include current source control and network control based on linear controllers and typical damping control strategies, as well as model predictive control and sliding mode variable structure control in nonlinear control strategies.

5. The new energy simulation model management method according to claim 1, characterized in that: The modeling process of the new energy station model library includes: Obtain the primary wiring diagram of the new energy station and the output parameter table of each collector line under typical working conditions; In the component model library, the equipment model library and the algorithm model library, the basic elements and algorithms required for modeling are searched. If they are not available in each model library, they are supplemented and stored in the library; Build a new energy station model topology that meets the accuracy requirements, fill in the operating parameters, and run the simulation.

6. The new energy simulation model management method according to claim 1, characterized in that: The management method also includes performing steady-state and transient performance tests on the new energy station models in the new energy station model library, including at least impedance sweep frequency, high and low voltage and fault ride-through simulation experimental tests, obtaining test curves, and including them in the new energy station model library.

7. The new energy simulation model management method according to claim 1, characterized in that: The formulating of naming and query calling rules for model libraries at different levels includes: The naming of the components in the component model library at least includes component category, manufacturer name, specific model, key parameters, modeling time, and model version; The devices in the device model library are named according to the manufacturer's packaging model and the self-built device model respectively; The naming of the algorithms in the algorithm model library at least includes algorithm category, algorithm name, modeling time, and model version; The naming of the field station in the new energy field station model library at least includes field station category, field station coordinates, field station name, field station capacity, equivalent modeling method, modeling time, and model version; The naming of the bases in the new energy base model library at least includes base category, base area, site name, equivalent modeling method, modeling time, and model version.

8. A new energy simulation model retrieval device, characterized in that: include: The first building module is used to create a component model library, a device model library and an algorithm model library; The second construction module is used to index the component model library, the device model library, and the algorithm model library according to the electrical information and modeling accuracy requirements of the new energy station, construct different new energy station models, and form a new energy station model library; The third construction module is used to index the component model library, the device model library, and the algorithm model library according to the electrical information of the new energy base and the modeling accuracy requirements, construct different new energy base models, and form a new energy base model library; The calling module is used to formulate naming and query calling rules for the above-mentioned different levels of model libraries.

9. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the new energy simulation model management method as described in any one of claims 1 to 7 is implemented.

10. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the new energy simulation model management method according to any one of claims 1 to 7 is implemented.

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