Automatic generation method of offshore wind and light storage impedance model based on data and simulation

Abstract

The invention belongs to the technical field of offshore new energy grid-connected power generation systems, and particularly discloses a data and simulation-based offshore wind and light storage impedance model automatic generation method, which can obtain voltage and current data required by impedance calculation through harmonic injection based on electromagnetic transient simulation models of multiple types of power supplies such as offshore wind power, photovoltaic power and energy storage. By using typical control links and basic structures of multiple types of power supplies such as offshore wind power, photovoltaic power and energy storage, and by using an intelligent fitting algorithm, control structures and control parameters of the multiple types of power supplies such as offshore wind power, photovoltaic power and energy storage are automatically generated, so that automatic modeling of system impedance is realized; and a theoretical basis is provided for analyzing a broadband oscillation mechanism of the system and constructing a stable operation interval of the system.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of offshore new energy grid-connected power generation systems, in particular to a method for automatically generating an offshore wind-solar-storage impedance model based on data and simulation. BACKGROUND

[0002] With the rapid development of offshore wind power, photovoltaic and other clean energy in China, the application scenarios of offshore wind-solar-storage through flexible direct current transmission are becoming more and more widespread. Since offshore wind-solar-storage and other multi-type power sources generally adopt large-scale development and centralized transmission, the grid-connected system has strong power electronic characteristics, and the strong nonlinearity and strong coupling make the oscillation problem of the offshore wind-solar-storage through flexible direct current transmission system more complex. Establishing a detailed offshore wind-solar-storage through flexible direct current transmission system model is the key to identifying system oscillation risks and ensuring the safe and stable operation of the power system.

[0003] At present, since the offshore wind-solar-storage through flexible direct current transmission system contains a large number of power electronic components and has strong nonlinear characteristics, the most commonly used modeling is the device-level simulation model established by electromagnetic transient simulation software. Unlike detailed mathematical models, time-domain simulation analysis is not clear enough in physical concept, and it is difficult to meet the needs of large-scale offshore wind-solar-storage through flexible direct current transmission system oscillation mechanism research. At the same time, due to the high confidentiality of the controller structure of offshore wind-solar-storage, there are great differences between different types of units, and it is difficult to establish detailed mathematical models one by one. How to identify the internal control structure and parameters of the system and automatically generate mathematical models of offshore wind power, photovoltaic and energy storage based on electromagnetic transient simulation models and impedance characteristic data can help reduce modeling difficulty, speed up modeling efficiency, and further provide support for establishing an offshore wind-solar-storage through flexible direct current transmission system model library and identifying modeling standards. SUMMARY

[0004] To solve the above technical problems, the application provides a method for automatically generating an offshore wind-solar-storage impedance model based on data and simulation, which can obtain voltage and current data required for impedance calculation through harmonic injection based on electromagnetic transient simulation models of offshore wind power, photovoltaic, energy storage and other multi-type power sources, and automatically generate control structures and control parameters of offshore wind power, photovoltaic, energy storage and other multi-type power sources by using typical control links and basic structures of offshore wind power, photovoltaic, energy storage and other multi-type power sources and an intelligent fitting algorithm, so as to realize automatic modeling of system impedance and further provide a theoretical basis for analyzing system wideband oscillation mechanism and constructing system stable operation interval.

[0005] To achieve the above purpose, the application is implemented according to the following technical solutions:

[0006] A method for automatically generating an offshore wind-solar-storage impedance model based on data and simulation, comprising the following contents:

[0007] The first step is to generate an electrical structure, and the specific method is as follows:

[0008] Obtain the main circuit structure A and filter link parameter A of the offshore wind electromagnetic transient simulation model, and modify the offshore wind mathematical model using the obtained main circuit structure A and filter link parameter A

[0009] Obtain the main circuit structure B and filter link parameter B of the offshore photovoltaic electromagnetic transient simulation model, and modify the offshore photovoltaic mathematical model using the obtained main circuit structure B and filter link parameter B

[0010] Obtain the main circuit structure C and filter link parameter C of the offshore energy storage electromagnetic transient simulation model, and modify the offshore energy storage mathematical model using the obtained main circuit structure C and filter link parameter C

[0011] After the above is completed, the electrical structure is obtained;

[0012] The second step is to inject a harmonic voltage with an amplitude of 0.1% to 5% of the grid voltage into the offshore wind electromagnetic transient simulation model through a harmonic injection module, and obtain the harmonic voltage at each harmonic injection position and harmonic current According to the obtained harmonic voltage and harmonic current Calculate the impedance data at each frequency point

[0013] The frequency range of the harmonic voltage is the sub- / super-synchronous oscillation frequency band Fre;

[0014] Inject a harmonic voltage with an amplitude of 0.1% to 5% of the grid voltage into the offshore photovoltaic electromagnetic transient simulation model through a harmonic injection module, and obtain the harmonic voltage at each harmonic injection position and harmonic current According to the obtained harmonic voltage and harmonic current Calculate the impedance data at each frequency point

[0015] Inject a harmonic voltage with an amplitude of 0.1% to 5% of the grid voltage into the offshore energy storage electromagnetic transient simulation model through a harmonic injection module, and obtain the harmonic voltage at each harmonic injection position and harmonic current According to the obtained harmonic voltage and harmonic current Calculate the impedance data at each frequency point

[0016] The frequency range of the harmonic voltage is the sub- / super-synchronous oscillation frequency band Fre;

[0017] Third step, using intelligent algorithm, taking the minimum fitting error as the optimization goal, taking the control link coefficient and control parameter in the modified offshore wind power mathematical model in the first step as the optimization object, automatically generating the offshore wind power mathematical model

[0018] The offshore wind power mathematical model includes control delay link, filter link, voltage loop, current loop and other parts. The number of control parameters in the offshore photovoltaic mathematical model is large and has boundary restrictions. Therefore, in order to improve the modeling efficiency, the automatic generation of offshore wind power mathematical model includes two stages of structure generation and parameter generation, which are as follows:

[0019] Structure generation link: first, divide the sub / super frequency band into four main frequency bands I, II, III and VI, which correspond to the main influence frequency bands of delay link, filter link, voltage loop and current loop. Calculate the impedance data of offshore wind power mathematical model and corresponding frequency band under different frequency bands Fitting error Cerror wind The calculation formula is as follows:

[0020] The frequency range corresponding to the four main frequency bands I, II, III and VI is: 1-fre1, fre1-fre2, fre2-fre3, fre3-fre;

[0021]

[0022]

[0023] f is frequency, j is imaginary part, and w is angular frequency;

[0024] Secondly, sort Cerror windI , Cerror windII , Cerror windⅢ and Cerror windⅥ from high to low, take the control link corresponding to the highest fitting error as the main link, and add it to the offshore wind power mathematical model ;

[0025] Parameter generation link: according to the generated offshore wind power mathematical model Take the minimum fitting error Perror of offshore wind power mathematical model and full frequency band impedance data as the optimization goal, use particle swarm optimization algorithm to calculate the best combination of control parameters of each control link, and automatically generate offshore wind power mathematical model

[0026] The intelligent algorithm is used to automatically generate the offshore photovoltaic mathematical model by taking the minimum fitting error as an optimization target and taking the control link coefficient and the control parameter in the modified offshore photovoltaic mathematical model in the first step as optimization objects

[0027] The offshore photovoltaic mathematical model comprises a control delay link, a filter link, a voltage loop, a current loop and multiple parts, the offshore photovoltaic mathematical model has a large number of control parameters and has a boundary limit, therefore, in order to improve the modeling efficiency, the offshore photovoltaic mathematical model automatic generation comprises two stages of structure generation and parameter generation, specifically:

[0028] The structure generation link: firstly, the sub / super frequency band is divided into four main frequency bands I, II, III and VI, which correspond to the main influence frequency bands of the delay link, the filter link, the voltage loop and the current loop, and the impedance data of the offshore photovoltaic mathematical model under different frequency bands and the corresponding frequency bands are calculated The fitting error Cerror PV , and the calculation formula is as follows:

[0029] The frequency ranges corresponding to the four main frequency bands I, II, III and VI are 1-fre1, fre1-fre2, fre2-fre3 and fre3-fre;

[0030]

[0031] f is the frequency, j is the imaginary part, and w is the angular frequency;

[0032] Secondly, the obtained Cerror PVI , Cerror PVII , Cerror PVⅢ and Cerror PVⅥ are sorted from high to low, the control link corresponding to the frequency band with the highest fitting error is taken as the main link, and is added to the offshore photovoltaic mathematical model ;

[0033] The parameter generation link: according to the generated offshore photovoltaic mathematical model , the fitting error Perror between the offshore photovoltaic mathematical model under the full frequency band and the impedance data under the full frequency band is taken as an optimization target, the particle swarm optimization algorithm is used to calculate the best combination of the control parameters of each control link, and the offshore photovoltaic mathematical model is automatically generated

[0034] The intelligent algorithm is used to automatically generate the offshore photovoltaic mathematical model by taking the minimum fitting error as an optimization target and taking the control link coefficient and the control parameter in the modified offshore photovoltaic mathematical model in the first step as optimization objects

[0035] The offshore energy storage mathematical model includes control delay elements, filter elements, voltage loops, current loops and other parts. The offshore energy storage mathematical model has a large number of control parameters and boundary restrictions. Therefore, to improve the modeling efficiency, the offshore energy storage mathematical model automatic generation includes two stages of structure generation and parameter generation, which are as follows:

[0036] Structure generation link: first, divide the sub / super frequency band into four main frequency bands I, II, III and VI, which correspond to the main influence frequency bands of the delay elements, filter elements, voltage loops and current loops. Calculate the impedance data of the offshore energy storage mathematical model and the corresponding frequency band under different frequency bands Fitting error Cerror storage The calculation formula is as follows:

[0037] The frequency range corresponding to the four main frequency bands I, II, III and VI is: 1-fre1, fre1-fre2, fre2-fre3, fre3-fre;

[0038]

[0039] f is the frequency, j is the imaginary part, and w is the angular frequency;

[0040] Secondly, sort the obtained Cerror storageI , Cerror storageII , Cerror storageⅢ and Cerror storageⅥ error from high to low, and add the control element corresponding to the frequency band with the highest fitting error to the offshore energy storage mathematical model ;

[0041] Parameter generation link: according to the generated offshore energy storage mathematical model The fitting error Perror of the offshore energy storage mathematical model and the impedance data of the full frequency band is the optimization target, and the particle swarm optimization algorithm is used to calculate the best combination of control parameters of each control element to automatically generate the offshore energy storage mathematical model

[0042] Fourthly, use neural network to train the best frequency band division strategy, and regenerate the offshore wind power mathematical model according to the best frequency band division strategy after training, to complete the optimization of the offshore wind power mathematical model;

[0043] Use neural network to train the best frequency band division strategy, and regenerate the offshore photovoltaic mathematical model according to the best frequency band division strategy after training, to complete the optimization of the offshore photovoltaic mathematical model;

[0044] The neural network is used to train an optimal frequency band division strategy, and a mathematical model of offshore energy storage is regenerated according to the optimal frequency band division strategy after training, so that the optimization of the mathematical model of offshore energy storage is completed.

[0045] A method for automatically generating an offshore wind-solar-storage impedance model based on data and simulation includes:

[0046] Based on electromagnetic transient simulation models and typical mathematical models of offshore wind power, photovoltaic power, energy storage and other types of power sources, the control structure and control parameters of offshore wind power, photovoltaic power, energy storage and other types of power sources are automatically generated through four stages of electrical structure generation, impedance data generation, mathematical model preliminary generation and mathematical model optimization, so as to realize automatic modeling of system impedance.

[0047] In the electrical structure generation stage, based on the electromagnetic transient simulation models of offshore wind power, photovoltaic power, energy storage and other types of power sources, the main circuit structure of offshore wind power, photovoltaic power, energy storage and other types of power sources can be accurately obtained.

[0048] In the impedance data generation stage, based on the electromagnetic transient simulation models of offshore wind power, photovoltaic power, energy storage and other types of power sources, the voltage, current data required for impedance calculation or direct impedance data can be obtained through the harmonic injection method.

[0049] In the mathematical model preliminary generation stage, the control structure of offshore wind power, photovoltaic power, energy storage and other types of power sources includes control delay elements, filter elements, voltage loops, current loops and other parts, the number of control parameters is large, and there are boundary restrictions, and the mathematical model preliminary generation is divided into two stages of structure generation and parameter generation.

[0050] In the mathematical model optimization stage, the main influence frequency band of different control elements can be determined through a neural network.

[0051] The application belongs to the technical field of offshore new energy grid-connected power generation systems, and specifically discloses a method for automatically generating an offshore wind-solar-storage impedance model based on data and simulation, which can obtain the voltage and current data required for impedance calculation through harmonic injection based on the electromagnetic transient simulation models of offshore wind power, photovoltaic power, energy storage and other types of power sources, and automatically generate the control structure and control parameters of offshore wind power, photovoltaic power, energy storage and other types of power sources by using the typical control elements and basic structures of offshore wind power, photovoltaic power, energy storage and other types of power sources and an intelligent fitting algorithm, so as to realize automatic modeling of system impedance and provide a theoretical basis for analyzing the system wide-frequency oscillation mechanism and constructing a system stable operation interval.

[0052] Compared with the prior art, the application considers the structural typicality and the difference of controller design of offshore wind power, photovoltaic, energy storage and other types of power supply, considers the main influence frequency band of multiple typical control links such as time delay link, filter link, voltage loop and current loop, and under the existing typical mathematical model framework of offshore wind power, photovoltaic, energy storage and other types of power supply, with the help of structure-parameter double-layer fitting strategy, the 'black box' problem of the existing offshore wind power, photovoltaic, energy storage and other types of power supply control structure is broken through, and the impedance data and 'white box' model are driven, the modeling robustness and working efficiency of the offshore wind light storage impedance modeling technology based on data and simulation are improved, and therefore the application has strong practicability in engineering practice, and can be applied to the impedance modeling of the offshore wind light storage flexible direct transmission system. BRIEF DESCRIPTION OF DRAWINGS

[0053] Figure 1 An offshore double-fed wind turbine embodiment of a kind of offshore wind light storage impedance model automatic generation technology based on data and simulation for an embodiment of the application.

[0054] Figure 2 A structure generation link flow chart of a kind of offshore wind light storage impedance model automatic generation technology based on data and simulation for an embodiment of the application.

[0055] Figure 3 A parameter generation link flow chart of a kind of offshore wind light storage impedance model automatic generation technology based on data and simulation for an embodiment of the application.

[0056] Figure 4 An embodiment impedance characteristic diagram of a kind of offshore wind light storage impedance model automatic generation technology based on data and simulation for an embodiment of the application. DETAILED DESCRIPTION

[0057] In order to make the purpose, technical scheme and advantages of the application more clear and obvious, the application will be further described in detail below in combination with the embodiment of offshore double-fed wind turbine. The specific embodiments described herein are only used to explain the application and not to limit the application.

[0058] As Figure 1As shown, it is a typical offshore double-fed wind power grid-connected system diagram, which is composed of double-fed wind turbine and receiving end system. Among them, the double-fed wind turbine includes generator, machine side converter (MSC), DC bus and grid side converter (GSC) four parts, wherein MSC and GSC both adopt voltage and current double closed loop control structure, and each control link adopts PI control. Therefore, the system at least contains four control links and eight control parameters, and if further considering the filtering link and delay link, the dimension of the model to be built will be higher. If the control structure and parameters are all "black box" model, the system modeling is difficult and time-consuming. As the basis of the research on oscillation problem, the comprehensiveness and accuracy of system modeling are crucial to the research on oscillation problem. Therefore, for the offshore wind and light storage and flexible transmission system, the automatic generation technology of offshore wind and light storage impedance model based on data and simulation is particularly key.

[0059] Based on this, as Figure 2 shown, the embodiment provides an automatic generation technology of offshore wind and light storage impedance model based on data and simulation, and the specific method is as follows:

[0060] The electrical structure generation stage: the electromagnetic transient simulation model of the offshore double-fed wind turbine is used to obtain the main circuit structure, filter link parameters C dc , L f , C f , and the established mathematical model of the typical offshore double-fed wind turbine is modified accordingly Among them, is the typical impedance mathematical model of the offshore double-fed wind turbine;

[0061] The impedance data generation stage: a harmonic injection module is added to the electromagnetic transient simulation model of the offshore double-fed wind turbine, a harmonic voltage with an amplitude of 5% of the grid-connected voltage is injected into the offshore double-fed wind turbine module, the frequency range is the sub-synchronous and super-synchronous oscillation frequency band Fre(1-1000Hz), and the harmonic voltage and harmonic current at each harmonic injection position are obtained, and the impedance data at each frequency point are calculated accordingly

[0062] The mathematical model preliminary generation stage: using intelligent algorithm, taking the minimum fitting error as the optimization objective, taking the delay link, filter link, MSC control outer ring, MSC control inner ring, GSC control outer ring, GSC control inner ring and phase-locked loop seven control links and control parameters in the mathematical model of the typical offshore double-fed wind turbine as optimization objects, the structure generation and parameter generation two stages are carried out, and the mathematical model of the double-fed wind turbine is automatically generated The structure generation link flow chart and the parameter generation link flow chart are respectively as Figure 3 and Figure 4The specific steps are as follows:

[0063] The structure generation link: as Figure 3 As shown in the figure, first, the sub / super frequency band is divided into four main frequency bands I (1-30 Hz), II (30-60 Hz), III (60-150 Hz), and VI (150-1000 Hz), which correspond to the main influencing frequency bands of the delay link, the filter link, the RSC control outer loop, the RSC control inner loop, the GSC control outer loop, the GSC control inner loop, and the phase-locked loop, respectively. Calculate the fitting error Cerror of the mathematical model and the simulation model under different frequency bands according to the formula

[0064] Secondly, sort the fitting errors from high to low, and add the control link corresponding to the highest fitting error to the mathematical model of the offshore double-fed wind turbine

[0065] The parameter generation link: as Figure 4 shown in the figure, according to the mathematical model of the offshore double-fed wind turbine generated in ① Take the minimum fitting error Perror of the mathematical model and the simulation model under the full frequency band as the optimization target, use the particle swarm optimization algorithm to calculate the best combination of the control parameters of the delay link, the filter link, the MSC control outer loop, the MSC control inner loop, the GSC control outer loop, the GSC control inner loop, and the phase-locked loop, and automatically generate the mathematical model of the offshore double-fed wind turbine

[0066] The mathematical model optimization stage: in this stage, the preliminary mathematical model generated in 3) is used to train the best frequency band I, II, III, and VI division strategy by using a neural network, thereby improving the robustness of the modeling method.

[0067] The embodiment constructs a data and simulation based automatic generation technology of the offshore double-fed wind turbine impedance model, considers the main influencing frequency bands of the delay link, the filter link, the voltage loop, and the current loop, and establishes the mathematical model of the offshore double-fed wind turbine under the existing typical mathematical model framework of the offshore double-fed wind turbine, by means of the structure-parameter double-layer fitting strategy, and by taking the impedance data and the electromagnetic transient simulation model as the driving.

[0068] Figure 4 The impedance curve of the data and simulation based automatically generated offshore double-fed wind turbine impedance model of the embodiment, wherein the black solid line is the impedance curve of the offshore double-fed wind turbine obtained by using the harmonic injection method based on the electromagnetic transient simulation model, and the red dashed line is the impedance curve obtained according to the data and simulation based automatically generated offshore double-fed wind turbine mathematical model. Figure 4It can be seen that in the frequency range of 1Hz-1000Hz, the offshore double-fed wind turbine mathematical model automatically generated based on data and simulation can correspond to the results of the electromagnetic transient simulation model in the external characteristic, thereby illustrating that the offshore wind and light storage impedance model automatic generation technology based on data and simulation of the embodiment can automatically perform impedance modeling and accelerate the modeling efficiency.

[0069] In summary, based on the existing typical mathematical model framework of offshore wind power, photovoltaic, energy storage and other types of power supply, the structure-parameter double-layer fitting strategy is proposed, which breaks through the "black box" problem of the existing offshore wind power, photovoltaic, energy storage and other types of power supply control structure, and improves the modeling robustness and working efficiency of the offshore wind and light storage flexible transmission system, establishes the corresponding relationship between the electromagnetic transient simulation model and the mathematical model of the offshore wind and light storage and other types of power supply, which can effectively reduce the modeling difficulty and improve the modeling efficiency.

[0070] The technical scheme of the present application is not limited to the above specific embodiments, and any technical modification made according to the technical scheme of the present application falls within the protection scope of the present application.

[0071] In summary, the above is only a preferred embodiment of the present application, and is not used to limit the protection scope of the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for automatically generating offshore wind-solar-storage impedance models based on data and simulation, characterized in that... Includes the following: The first step is to obtain the main circuit structure A and the filter parameters A of the offshore wind power electromagnetic transient simulation model, and then use the obtained main circuit structure A and filter parameters A to modify the offshore wind power mathematical model. Obtain the main circuit structure B and filter parameters B of the offshore photovoltaic electromagnetic transient simulation model, and use the obtained main circuit structure B and filter parameters B to modify the offshore photovoltaic mathematical model. Obtain the main circuit structure C and filter parameters C of the offshore energy storage electromagnetic transient simulation model, and use the obtained main circuit structure C and filter parameters C to modify the offshore energy storage mathematical model. The second step is to inject harmonic voltages into the electromagnetic transient simulation model of offshore wind power and obtain the harmonic voltages at each injection point. Harmonic current Based on the obtained harmonic voltage Harmonic current Calculate impedance data at each frequency point Amplitude harmonic voltages are injected into the marine photovoltaic electromagnetic transient simulation model using a harmonic injection module, and the harmonic voltages at each injection location are obtained. Harmonic current Based on the obtained harmonic voltage Harmonic current Calculate impedance data at each frequency point Amplitude harmonic voltages are injected into the electromagnetic transient simulation model of offshore energy storage using a harmonic injection module, and the harmonic voltages at each injection location are obtained. Harmonic current Based on the obtained harmonic voltage Harmonic current Calculate impedance data at each frequency point The third step involves automatically generating an offshore wind power mathematical model by using the control coefficients and control parameters from the modified offshore wind power mathematical model from the first step as the optimization targets. Using the control coefficients and control parameters in the modified marine photovoltaic mathematical model from the first step as the optimization objects, an automatic marine photovoltaic mathematical model is generated. Using the control coefficients and control parameters in the modified offshore energy storage mathematical model from the first step as the optimization objects, an offshore energy storage mathematical model is automatically generated. The fourth step involves using neural networks to train the optimal frequency band allocation strategy. Based on the optimal frequency band allocation strategy after training, the mathematical models for offshore wind power, offshore photovoltaic, and offshore energy storage are regenerated, thus completing the optimization of the mathematical models for offshore wind power, offshore photovoltaic, and offshore energy storage.

2. The method for automatically generating a marine wind-solar-storage impedance model based on data and simulation as described in claim 1, characterized in that: In the second step, the amplitude of the harmonic voltage is 0.1% to 5% of the grid-connected voltage.

3. The method for automatically generating a marine wind-solar-storage impedance model based on data and simulation as described in claim 1, characterized in that... Includes the following: In the second step, the frequency range of the harmonic voltage is the subsynchronous / supersynchronous oscillation band Fre.

4. The method for automatically generating a marine wind-solar-storage impedance model based on data and simulation as described in claim 1, characterized in that: In the second step, the offshore wind power mathematical model includes a control delay loop, a filtering loop, a voltage loop, and a current loop. The automatic generation of the offshore wind power mathematical model includes two major stages: structure generation and parameter generation.

5. The method for automatically generating a marine wind-solar-storage impedance model based on data and simulation as described in claim 4, characterized in that: Structure generation stage: First, the sub- / super-frequency band is divided into four main frequency bands: I, II, III, and VI, corresponding to the main frequency bands affecting the delay stage, filtering stage, voltage loop, and current loop. The mathematical model of offshore wind power and the impedance data of the corresponding frequency bands are then calculated for each band. Fitting error Cerror wind The calculation formula is as follows: The frequency ranges corresponding to the four main frequency bands I, II, III, and VI are: 1-fre1, fre1-fre2, fre2-fre3, and fre3-fre; f is the frequency, j is the imaginary part, and w is the angular frequency; Secondly, the obtained Cerror windI Cerror windII Cerror windⅢ and Cerror windⅥ The fitting errors were sorted from highest to lowest, and the control element corresponding to the frequency band with the highest fitting error was selected as the main element and added to the offshore wind power mathematical model. middle.

6. The method for automatically generating a marine wind-solar-storage impedance model based on data and simulation as described in claim 5, characterized in that: Parameter generation stage: Based on the generated offshore wind power mathematical model Mathematical model of offshore wind power in the full frequency band The optimization objective is to minimize the fitting error Perror with impedance data across the entire frequency band. Using a particle swarm optimization algorithm, the optimal combination of control parameters for each control element is calculated, actively generating a mathematical model for offshore wind power.

7. The method for automatically generating a marine wind-solar-storage impedance model based on data and simulation as described in claim 4, characterized in that: The mathematical model for offshore photovoltaic systems includes control delay components, filtering components, voltage loops, and current loops. The automatic generation of the offshore photovoltaic mathematical model comprises two main stages: structure generation and parameter generation. Structure generation stage: First, the sub- / super-frequency band is divided into four main frequency bands: I, II, III, and VI, corresponding to the main frequency bands affecting the delay stage, filtering stage, voltage loop, and current loop. The mathematical model of offshore photovoltaic systems and the impedance data for the corresponding frequency bands are then calculated. Fitting error Cerror PV The calculation formula is as follows: The frequency ranges corresponding to the four main frequency bands I, II, III, and VI are: 1-fre1, fre1-fre2, fre2-fre3, and fre3-fre; f is the frequency, j is the imaginary part, and w is the angular frequency; Secondly, the obtained Cerror PVI Cerror PVII Cerror PVⅢ and Cerror PVⅥ The fitting errors were sorted from highest to lowest, and the control element corresponding to the frequency band with the highest fitting error was selected as the main element and added to the marine photovoltaic mathematical model. middle.

8. The method for automatically generating a marine wind-solar-storage impedance model based on data and simulation as described in claim 7, characterized in that: Parameter generation stage: Based on the generated marine photovoltaic mathematical model Mathematical model of offshore photovoltaic power across the entire frequency band The optimization objective is to minimize the fitting error Perror with impedance data across the entire frequency band. Using a particle swarm optimization algorithm, the optimal combination of control parameters for each control element is calculated, and a mathematical model for offshore photovoltaic systems is actively generated.

9. The method for automatically generating a marine wind-solar-storage impedance model based on data and simulation as described in claim 4, characterized in that: The mathematical model for offshore energy storage includes control delay components, filtering components, voltage loops, and current loops. The automatic generation of the offshore energy storage mathematical model comprises two main stages: structure generation and parameter generation. Structure generation stage: First, the sub- / super-frequency band is divided into four main frequency bands: I, II, III, and VI, corresponding to the main frequency bands affecting the delay stage, filtering stage, voltage loop, and current loop. The mathematical model of offshore energy storage and the impedance data of the corresponding frequency bands are then calculated for each band. Fitting error Cerror storage The calculation formula is as follows: The frequency ranges corresponding to the four main frequency bands I, II, III, and VI are: 1-fre1, fre1-fre2, fre2-fre3, and fre3-fre; f is the frequency, j is the imaginary part, and w is the angular frequency; Secondly, the obtained Cerror storageI Cerror storageII Cerror storageⅢ and Cerror storageⅥ The fitting errors were sorted from highest to lowest, and the control element corresponding to the frequency band with the highest fitting error was selected as the main element and added to the marine energy storage mathematical model. middle.

10. The method for automatically generating a marine wind-solar-storage impedance model based on data and simulation as described in claim 9, characterized in that: Parameter generation stage: Based on the generated offshore energy storage mathematical model Mathematical model of offshore energy storage in the full frequency band The optimization objective is to minimize the fitting error Perror with impedance data across the entire frequency band. Using a particle swarm optimization algorithm, the optimal combination of control parameters for each control element is calculated, actively generating a mathematical model for offshore energy storage.

Images