Wind farm impedance characteristic analysis method, device and equipment based on sensitivity

Abstract

The present application discloses a sensitivity-based wind farm impedance characteristic analysis method, device, and equipment. The method includes: constructing a wind farm overall model based on different analysis objects of the wind farm, the wind farm overall model including a sub-model of a submarine cable, a system equivalent power supply, a step-up transformer, and a wind turbine group sub-model; adjusting the values ​​of the sensitivity factor group corresponding to the analysis object multiple times based on the control variable method, and scanning multiple groups of impedance characteristic data of the wind farm overall model under different conditions, the sensitivity factor group including multiple sensitivity factors; calculating the comprehensive sensitivity of the wind farm overall model after performing a parallel resonance point analysis based on the impedance characteristic data; performing an analysis of the impact of the wind farm impedance characteristics based on the comprehensive sensitivity and sensitivity threshold to obtain an analysis result. The present application can solve the technical problem that the existing technology ignores the influence of multiple factors on the impedance characteristics in the wind farm, resulting in a lack of pertinence in the modeling process and poor efficiency.

Description

Technical Field

[0001] The present application relates to the technical field of wind farm modeling, and in particular to a sensitivity-based wind farm impedance characteristic analysis method, device, and equipment. Background Art

[0002] Offshore wind farms are typically transmitted via long-distance submarine cables. The interaction between the impedance characteristics of the grid, the cables, and the wind turbines can amplify harmonics and generate resonance. The impedance characteristics of long-distance submarine cables and wind turbines are two key factors affecting the impedance characteristics and resonance risk of the entire wind farm. The impedance characteristics of long-distance submarine cables are influenced by a variety of factors, including cable length, resistance per unit length, and capacitance parameters.

[0003] NB / T 10651-2021, "Technical Specification for Wind Farm Impedance Characteristics Assessment," specifies the steps and methods for evaluating wind farm impedance characteristics. Currently, assessments are primarily conducted based on this standard. However, existing technologies overlook the impact of various factors affecting wind farm impedance characteristics. This provides important guidance for analyzing, modeling, and evaluating wind farm impedance characteristics, helping to clarify the modeling requirements for various wind farm components. Existing modeling technologies treat all components equally, lacking specificity and resulting in poor modeling efficiency, failing to meet the efficiency requirements of actual wind farm modeling. Summary of the Invention

[0004] This application provides a sensitivity-based wind farm impedance characteristic analysis method, device and equipment to solve the technical problem that the existing technology ignores the impact of multiple factors in the wind farm on the impedance characteristics, resulting in a lack of pertinence in the modeling process and poor efficiency.

[0005] In view of this, the first aspect of the present application provides a sensitivity-based wind farm impedance characteristic analysis method, comprising:

[0006] Constructing a wind farm overall model based on different analysis objects of the wind farm, the wind farm overall model includes a sub-model of the outgoing submarine cable, a system equivalent power source, a step-up transformer, and a wind turbine group sub-model;

[0007] Adjusting the values ​​of the sensitivity factor group corresponding to the analysis object multiple times based on a control variable method, and scanning multiple groups of impedance characteristic data of the overall wind farm model under different conditions, wherein the sensitivity factor group includes multiple sensitivity factors;

[0008] After performing parallel resonance point analysis based on the impedance characteristic data, calculating the comprehensive sensitivity of the overall wind farm model;

[0009] An impact analysis of wind farm impedance characteristics is performed based on the comprehensive sensitivity and the sensitivity threshold to obtain an analysis result.

[0010] Preferably, the wind farm overall model is constructed according to different analysis objects of the wind farm, and the wind farm overall model includes a sub-model of a sending submarine cable, a system equivalent power supply, a step-up transformer and a wind turbine group sub-model, including:

[0011] Constructing a submarine cable sub-model based on the parameter information of the submarine cable;

[0012] After the system equivalent power supply and the step-up transformer are sequentially connected to the sub-model of the outgoing sea cable, the wind turbine group sub-model of the same collector line is connected to the sub-model of the outgoing sea cable to obtain the overall model of the wind farm.

[0013] Preferably, the method of adjusting the values ​​of the sensitivity factor groups corresponding to the analysis objects multiple times based on the control variable method and scanning multiple groups of impedance characteristic data of the overall wind farm model under different conditions further includes:

[0014] Configure a preset scanning range and a preset scanning step size to obtain an initial scanning signal;

[0015] After the preset disturbance signal is added to the initial scanning signal, the target scanning signal is generated in combination with the preset current response signal.

[0016] Preferably, after performing the parallel resonance point analysis based on the impedance characteristic data, calculating the comprehensive sensitivity of the overall wind farm model includes:

[0017] Performing parallel resonance point analysis based on the impedance characteristic data to obtain the number of parallel resonance points;

[0018] The comprehensive sensitivity of the overall wind farm model is calculated based on the sensitivity factor, the impedance characteristic data, and the number of parallel resonance points.

[0019] Preferably, the wind farm impedance characteristic impact analysis is performed according to the comprehensive sensitivity and the sensitivity threshold to obtain an analysis result, and then the method further includes:

[0020] The construction process of the overall wind farm model is optimized based on the analysis results.

[0021] A second aspect of the present application provides a sensitivity-based wind farm impedance characteristic analysis device, comprising:

[0022] A model building unit is used to build an overall wind farm model based on different analysis objects of the wind farm, wherein the overall wind farm model includes a sub-model of a submarine cable, a system equivalent power source, a step-up transformer, and a wind turbine cluster;

[0023] a data testing unit, configured to adjust the values ​​of the sensitivity factor group corresponding to the analysis object multiple times based on a control variable method, and scan multiple groups of impedance characteristic data of the overall wind farm model under different conditions, wherein the sensitivity factor group includes multiple sensitivity factors;

[0024] an analysis and calculation unit, configured to calculate the comprehensive sensitivity of the overall wind farm model after performing a parallel resonance point analysis based on the impedance characteristic data;

[0025] The impedance analysis unit is used to perform wind farm impedance characteristic impact analysis based on the comprehensive sensitivity and sensitivity threshold to obtain analysis results.

[0026] Preferably, the model building unit is specifically used to:

[0027] Constructing a submarine cable sub-model based on the parameter information of the submarine cable;

[0028] After the system equivalent power supply and the step-up transformer are sequentially connected to the sub-model of the outgoing sea cable, the wind turbine group sub-model of the same collector line is connected to the sub-model of the outgoing sea cable to obtain the overall model of the wind farm.

[0029] Preferably, the analysis and calculation unit is specifically used to:

[0030] Performing parallel resonance point analysis based on the impedance characteristic data to obtain the number of parallel resonance points;

[0031] The comprehensive sensitivity of the overall wind farm model is calculated based on the sensitivity factor, the impedance characteristic data, and the number of parallel resonance points.

[0032] Preferably, it also includes:

[0033] A modeling optimization unit is used to optimize the construction process of the wind farm overall model based on the analysis result.

[0034] The present application also provides a wind farm impedance characteristic analysis device based on sensitivity, the device comprising a processor and a memory;

[0035] The memory is used to store program code and transmit the program code to the processor;

[0036] The processor is configured to execute the sensitivity-based wind farm impedance characteristic analysis method according to the first aspect according to the instructions in the program code.

[0037] It can be seen from the above technical solutions that the embodiments of the present application have the following advantages:

[0038] In the present application, a sensitivity-based wind farm impedance characteristic analysis method is provided, comprising: constructing a wind farm overall model according to different analysis objects of the wind farm, the wind farm overall model including a sub-model of a submarine cable, a system equivalent power supply, a step-up transformer, and a wind turbine group sub-model; adjusting the values ​​of a sensitivity factor group corresponding to the analysis object multiple times based on a control variable method, and scanning multiple groups of impedance characteristic data of the wind farm overall model under different conditions, the sensitivity factor group including multiple sensitivity factors; calculating the comprehensive sensitivity of the wind farm overall model after performing a parallel resonance point analysis based on the impedance characteristic data; and performing an impedance characteristic impact analysis of the wind farm based on the comprehensive sensitivity and the sensitivity threshold to obtain an analysis result.

[0039] The sensitivity-based wind farm impedance characteristic analysis method provided in this application obtains impedance characteristic data under different sensitivity factor combinations through the control variable method, and then performs resonance analysis and sensitivity calculation based on the impedance characteristic data. Based on this analysis, the impact of different sensitivity factors on the wind farm impedance characteristics is analyzed, which is more in line with the actual operating characteristics of the wind farm; and the analysis results are instructive. Based on different sensitivities, it is possible to guide the wind farm to carry out targeted modeling, which can not only ensure the reliability of subsequent modeling, but also improve modeling efficiency. Therefore, this application can solve the technical problem that the existing technology ignores the impact of multiple factors on the impedance characteristics of the wind farm, resulting in a lack of pertinence and poor efficiency in the modeling process. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 A schematic flow chart of a sensitivity-based wind farm impedance characteristic analysis method provided in an embodiment of the present application;

[0041] Figure 2 A schematic structural diagram of a wind farm impedance characteristic analysis device based on sensitivity provided in an embodiment of the present application;

[0042] Figure 3 A schematic diagram of a scan of a 220kV submarine cable model provided in an embodiment of the present application;

[0043] Figure 4 A schematic diagram of a model scan of an equivalent power supply and a step-up transformer of an access system provided in an embodiment of the present application;

[0044] Figure 5 A schematic diagram of a model scan of a wind turbine cluster sub-model provided in an embodiment of the present application;

[0045] Figure 6 The phase-frequency characteristic curve and amplitude-frequency characteristic curve under the influence of different submarine cable lengths provided for the application example of this application. DETAILED DESCRIPTION

[0046] In order to help those skilled in the art better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of this application.

[0047] For easier understanding, see Figure 1 , an embodiment of the sensitivity-based wind farm impedance characteristic analysis method provided in this application includes:

[0048] Step 101: Construct an overall wind farm model based on different analysis objects of the wind farm. The overall wind farm model includes a sub-model of a transmission submarine cable, a system equivalent power source, a step-up transformer, and a wind turbine cluster sub-model.

[0049] Furthermore, step 101 includes:

[0050] Constructing a submarine cable sub-model based on the parameter information of the submarine cable;

[0051] After the system equivalent power supply and step-up transformer are connected to the sub-model of the outgoing sea cable in sequence, the wind turbine group sub-model of the same collector line is connected to the sub-model of the outgoing sea cable to obtain the overall model of the wind farm.

[0052] It should be noted that the primary models constructed in this example include the outgoing submarine cable, system impedance, step-up transformer, and wind turbine units. The outgoing submarine cable is 220 kV, and the system resistance is represented by connecting a grid-equivalent power source to the outgoing submarine cable sub-model. Furthermore, the wind turbine cluster sub-model for the same collector line in this example refers to a 35 kV collector line. In addition to the collector line (the analysis target), the wind turbine cluster sub-model also includes the terminal transformer and wind turbine units.

[0053] Step 102: Based on the control variable method, the values ​​of the sensitivity factor group corresponding to the analysis object are adjusted multiple times, and multiple groups of impedance characteristic data of the wind farm overall model under different conditions are scanned. The sensitivity factor group includes multiple sensitivity factors.

[0054] Furthermore, before step 102, the following steps are also included:

[0055] Configure a preset scanning range and a preset scanning step size to obtain an initial scanning signal;

[0056] After the preset disturbance signal is added to the initial scanning signal, the target scanning signal is generated in combination with the preset current response signal.

[0057] It should be noted that the impedance characteristic data is obtained based on the target scanning signal scanning, and the configuration of the target scanning signal can also be understood as the parameter setting in the scanning device or scanning equipment. In this embodiment, the preset scanning range can be expressed as f0~f m The preset scanning step is expressed as d, the preset disturbance signal is expressed as ΔU(f), and the preset current response signal is expressed as ΔI(f). Based on the relevant information of the scan, it can be clearly seen that the impedance obtained during the impedance characteristic data scan can be calculated as: Z(f) = ΔU(f) / ΔI(f).

[0058] All sub-models in the overall wind farm model can be scanned for impedance characteristics. Figure 3 、 Figure 4 and Figure 5 , which respectively correspond to the impedance scan of the submarine cable sub-model, the impedance scan of the model obtained by connecting to the grid equivalent power supply and step-up transformer, and the impedance scan after connecting to the wind turbine group sub-model; in the actual scanning process, the impedance scan is realized by an impedance scanning module or device, and the specific form is only an example here and is not limited.

[0059] It should be noted that each analysis object can have a different sensitivity factor set, and the sensitivity factors of multiple analysis objects can form a sensitivity factor group. When the analysis object is a transmission submarine cable, the sensitivity factors mainly include the cable length, the resistance value per unit length of the submarine cable, the capacitance value per unit length of the submarine cable, and the reactance value per unit length of the submarine cable. When the analysis object is system impedance or a step-up transformer, the sensitivity factors mainly include the system impedance and the transformer short-circuit voltage percentage. When the analysis object is a 35kV collector line, a generator-end transformer, or a wind turbine, the sensitivity factors mainly include the collector line length, the collector line resistance value, the collector line capacitance value, the collector line reactance value, and the transformer short-circuit voltage percentage.

[0060] Therefore, the initial value of the sensitivity factor is the initial parameter X of the sensitivity factor group. By changing the value of one sensitivity factor, a second sensitivity factor group can be obtained. The control variable method ensures that the value of one sensitivity factor is adjusted at a time. For example, while keeping the sensitivity factors of the system impedance, step-up transformer, 35kV collector line, generator-end transformer, and wind turbine unchanged, the sensitivity factor of the outgoing submarine cable is changed, and the impedance characteristic data at this time is scanned.

[0061] This example selects three sets of representative impedance characteristic data. The sensitivity factor values ​​are related to the initial parameters and are expressed as X0 = X, X1 = X / 2, and X2 = 2X. The resulting impedance characteristic data are expressed as Z0(f), Z1(f), and Z2(f). It can be seen that the three sets of data represent normal initial values, slightly lower values, and slightly higher values, respectively. This allows analysis of the impact of different sensitivity factor values ​​on the impedance characteristic data.

[0062] Step 103: After performing parallel resonance point analysis based on the impedance characteristic data, calculate the comprehensive sensitivity of the overall wind farm model.

[0063] Furthermore, step 103 includes:

[0064] Perform parallel resonance point analysis based on impedance characteristic data to obtain the number of parallel resonance points;

[0065] The comprehensive sensitivity of the overall wind farm model is calculated based on the sensitivity factor, impedance characteristic data and the number of parallel resonance points.

[0066] The corresponding impedance amplitude Rms(f) and phase Ang(f) can be calculated based on different impedance characteristic data Z0(f), Z1(f), and Z2(f). A threshold judgment is performed on the impedance amplitude Rms(f) at each frequency point f. The thresholds include Rms(f-Δf) and Rms(f+Δf). When Rms(f) ≥ Rms(f-Δf) and Rms(f) ≥ Rms(f+Δf), a threshold judgment is performed on the impedance phase. The thresholds include Ang(f-Δf) and Ang(f+Δf). If Ang(f-Δf)-Ang(f+Δf) ≥ 160° (from 90° to -90°, considering a certain error and margin), the frequency point f is determined to be a parallel resonant frequency point. The above judgment method is used to find all parallel resonant points, and the number of parallel resonant points is obtained, which is recorded as h.

[0067] This embodiment selects three representative points, namely the initial value, the smaller value, and the larger value; therefore, the comprehensive sensitivity calculation includes two parts. When the sensitivity factor group is X1=X / 2, the first sub-sensitivity k1 is calculated:

[0068]

[0069] Among them, f n represents the frequency of the nth scanning point, h0 and h1 are the parallel resonance points when the sensitivity factor group takes the initial value and the smaller value, respectively.

[0070] When the sensitivity factor group is X2=2X, calculate the second sub-sensitivity k2:

[0071]

[0072] Among them, h2 is the parallel resonance point when the sensitivity factor group takes a relatively large value.

[0073] Based on sensitivity k1 and sensitivity k2, the comprehensive sensitivity k of the overall wind farm model can be calculated:

[0074]

[0075] Step 104: Perform wind farm impedance characteristic impact analysis based on the comprehensive sensitivity and the sensitivity threshold to obtain analysis results.

[0076] Furthermore, step 104 further includes:

[0077] Based on the analysis results, the construction process of the overall wind farm model is optimized.

[0078] The sensitivity threshold of this embodiment is set to 50. When the comprehensive sensitivity k≤50, it is considered that the wind farm impedance characteristic has a low response sensitivity to the change of the relevant factors of the component, and the change of this factor has little effect on the evaluation results of the wind farm impedance characteristic. Therefore, it is possible to consider appropriately reducing its accuracy during the modeling process. When the comprehensive sensitivity k>50, on the contrary, it means that the wind farm impedance characteristic has a strong response sensitivity to the change of the relevant factors of the component, and the change of this factor has a greater impact on the evaluation results of the wind farm impedance characteristic. Therefore, the parameter accuracy of this factor should be guaranteed as much as possible during the modeling process. In addition, for components with low response sensitivity, equivalent or simplified models can be directly used in the modeling process, while for components with strong response sensitivity, refined modeling processing is required to reduce their impact on the evaluation of wind farm impedance characteristics.

[0079] For easier understanding, see Figure 6 , sensitivity analysis is carried out taking the grid side impedance as an example, Figure 6 This reflects the impact of different submarine cable inductance values ​​per unit length, including phase-frequency and amplitude-frequency characteristic curves. It can be seen that the length of the submarine cable affects the number of parallel resonance points. The longer the submarine cable, the more parallel resonance points there are. For details, please refer to Table 1.

[0080] Table 1 Changes in the number of parallel resonance points for different submarine cable lengths

[0081]

[0082] Based on the above approach, this application example also captures the impact of the submarine cable's capacitance per unit length and the number of parallel resonant points, the impact of the submarine cable's reactance per unit length and the number of parallel resonant points, the impact of the submarine cable's resistance per unit length and the number of parallel resonant points, the impact of the system impedance and the number of parallel resonant points, and the impact of the shunt reactor and the number of parallel resonant points. A comprehensive analysis reveals that the sensitivity of these parameters to the wind farm's impedance characteristics is ranked as follows: submarine cable length > submarine cable capacitance per unit length > submarine cable inductance per unit length > system impedance > shunt reactor > submarine cable resistance per unit length. Because multiple submarine cable parameters significantly influence the impedance characteristics (i.e., with sensitivities greater than 50), detailed submarine cable modeling is required. However, since the system impedance and shunt reactors have a lesser impact on the impedance characteristics (i.e., with sensitivities less than 50), modeling accuracy requirements can be lowered, thereby optimizing the modeling process and achieving a balance between efficiency and accuracy.

[0083] The sensitivity-based wind farm impedance characteristic analysis method provided in the embodiment of the present application obtains impedance characteristic data under different sensitivity factor combinations through the control variable method, and then performs resonance analysis and sensitivity calculation based on the impedance characteristic data. Based on this analysis, the impact of different sensitivity factors on the wind farm impedance characteristics is analyzed, which is more in line with the actual operating characteristics of the wind farm. The analysis results are instructive and can guide the wind farm to perform targeted modeling based on different sensitivities, which can not only ensure the reliability of subsequent modeling, but also improve modeling efficiency. Therefore, the embodiment of the present application can solve the technical problem that the existing technology ignores the impact of multiple factors on the impedance characteristics of the wind farm, resulting in a lack of targetedness and poor efficiency in the modeling process.

[0084] For easier understanding, see Figure 2 , the present application provides an embodiment of a wind farm impedance characteristic analysis device based on sensitivity, including:

[0085] The model building unit 201 is used to build an overall wind farm model based on different analysis objects of the wind farm. The overall wind farm model includes a sub-model of the outgoing submarine cable, a system equivalent power source, a step-up transformer, and a wind turbine cluster sub-model.

[0086] The data testing unit 202 is used to adjust the values ​​of the sensitivity factor group corresponding to the analysis object multiple times based on the control variable method, and scan multiple groups of impedance characteristic data of the wind farm overall model under different conditions, where the sensitivity factor group includes multiple sensitivity factors;

[0087] An analysis and calculation unit 203 is configured to calculate the comprehensive sensitivity of the overall wind farm model after performing parallel resonance point analysis based on the impedance characteristic data;

[0088] The impedance analysis unit 204 is configured to perform wind farm impedance characteristic impact analysis based on the comprehensive sensitivity and the sensitivity threshold to obtain analysis results.

[0089] Furthermore, the model building unit 201 is specifically configured to:

[0090] Constructing a submarine cable sub-model based on the parameter information of the submarine cable;

[0091] After the system equivalent power supply and step-up transformer are connected to the sub-model of the outgoing sea cable in sequence, the wind turbine group sub-model of the same collector line is connected to the sub-model of the outgoing sea cable to obtain the overall model of the wind farm.

[0092] Furthermore, the analysis and calculation unit 203 is specifically configured to:

[0093] Perform parallel resonance point analysis based on impedance characteristic data to obtain the number of parallel resonance points;

[0094] The comprehensive sensitivity of the overall wind farm model is calculated based on the sensitivity factor, impedance characteristic data and the number of parallel resonance points.

[0095] Furthermore, it also includes:

[0096] The modeling optimization unit 205 is configured to optimize the construction process of the overall wind farm model based on the analysis results.

[0097] The present application also provides a sensitivity-based wind farm impedance characteristic analysis device, the device including a processor and a memory;

[0098] The memory is used to store program codes and transmit the program codes to the processor;

[0099] The processor is configured to execute the sensitivity-based wind farm impedance characteristic analysis method in the above method embodiment according to instructions in the program code.

[0100] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0101] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0102] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0103] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a number of instructions for executing all or part of the steps of the method described in each embodiment of the present application through a computer device (which can be a personal computer, server, or network device, etc.). The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (English full name: Read-Only Memory, English abbreviation: ROM), random access memory (English full name: Random Access Memory, English abbreviation: RAM), disk or optical disk and other media that can store program code.

[0104] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A sensitivity-based wind farm impedance characteristic analysis method, characterized in that: include: Constructing a wind farm overall model based on different analysis objects of the wind farm, the wind farm overall model includes a sub-model of the outgoing submarine cable, a system equivalent power source, a step-up transformer, and a wind turbine group sub-model; Adjusting the values ​​of the sensitivity factor group corresponding to the analysis object multiple times based on a control variable method, and scanning multiple groups of impedance characteristic data of the overall wind farm model under different conditions, wherein the sensitivity factor group includes multiple sensitivity factors; After performing parallel resonance point analysis based on the impedance characteristic data, calculating the comprehensive sensitivity of the overall wind farm model; Performing wind farm impedance characteristic impact analysis based on the comprehensive sensitivity and sensitivity threshold to obtain analysis results; When the analysis object is a sent submarine cable, the sensitivity factors include the length of the submarine cable, the resistance value per unit length of the submarine cable, the capacitance value per unit length of the submarine cable, and the reactance value per unit length of the submarine cable; When the analysis object is system impedance or step-up transformer, the sensitivity factor includes system impedance and transformer short-circuit voltage percentage; When the analysis objects are 35kV collector lines, machine-end transformers and wind turbines, the sensitivity factors include: collector line length, collector line length resistance value, collector line length capacitance value, collector line length reactance value, and transformer short-circuit voltage percentage.

2. The sensitivity-based wind farm impedance characteristic analysis method according to claim 1, characterized in that: The wind farm overall model is constructed based on different analysis objects of the wind farm. The wind farm overall model includes a sub-model of the submarine cable, a system equivalent power supply, a step-up transformer, and a wind turbine group sub-model, including: Constructing a submarine cable sub-model based on the parameter information of the submarine cable; After the system equivalent power supply and the step-up transformer are sequentially connected to the sub-model of the outgoing sea cable, the wind turbine group sub-model of the same collector line is connected to the sub-model of the outgoing sea cable to obtain the overall model of the wind farm.

3. The sensitivity-based wind farm impedance characteristic analysis method according to claim 1, characterized in that: The method of adjusting the values ​​of the sensitivity factor group corresponding to the analysis object multiple times based on the control variable method and scanning multiple groups of impedance characteristic data of the wind farm overall model under different conditions also includes: Configure a preset scanning range and a preset scanning step size to obtain an initial scanning signal; After the preset disturbance signal is added to the initial scanning signal, the target scanning signal is generated in combination with the preset current response signal.

4. The sensitivity-based wind farm impedance characteristic analysis method according to claim 1, characterized in that: After performing the parallel resonance point analysis based on the impedance characteristic data, calculating the comprehensive sensitivity of the overall wind farm model includes: Performing parallel resonance point analysis based on the impedance characteristic data to obtain the number of parallel resonance points; The comprehensive sensitivity of the overall wind farm model is calculated based on the sensitivity factor, the impedance characteristic data, and the number of parallel resonance points.

5. The sensitivity-based wind farm impedance characteristic analysis method according to claim 1, characterized in that: The wind farm impedance characteristic impact analysis is performed according to the comprehensive sensitivity and the sensitivity threshold to obtain an analysis result, and then the following steps are further included: The construction process of the overall wind farm model is optimized based on the analysis results.

6. A wind farm impedance characteristic analysis device based on sensitivity, characterized in that: include: A model building unit is used to build an overall wind farm model based on different analysis objects of the wind farm, wherein the overall wind farm model includes a sub-model of a submarine cable, a system equivalent power source, a step-up transformer, and a wind turbine cluster; a data testing unit, configured to adjust the values ​​of the sensitivity factor group corresponding to the analysis object multiple times based on a control variable method, and scan multiple groups of impedance characteristic data of the overall wind farm model under different conditions, wherein the sensitivity factor group includes multiple sensitivity factors; an analysis and calculation unit, configured to calculate the comprehensive sensitivity of the overall wind farm model after performing a parallel resonance point analysis based on the impedance characteristic data; an impedance analysis unit, configured to perform an analysis of the wind farm impedance characteristics according to the comprehensive sensitivity and the sensitivity threshold, and obtain an analysis result; When the analysis object is a sent submarine cable, the sensitivity factors include the length of the submarine cable, the resistance value per unit length of the submarine cable, the capacitance value per unit length of the submarine cable, and the reactance value per unit length of the submarine cable; When the analysis object is system impedance or step-up transformer, the sensitivity factor includes system impedance and transformer short-circuit voltage percentage; When the analysis objects are 35kV collector lines, machine-end transformers and wind turbines, the sensitivity factors include: collector line length, collector line length resistance value, collector line length capacitance value, collector line length reactance value, and transformer short-circuit voltage percentage.

7. The sensitivity-based wind farm impedance characteristic analysis device according to claim 6, characterized in that: The model building unit is specifically used to: Constructing a submarine cable sub-model based on the parameter information of the submarine cable; After the system equivalent power supply and the step-up transformer are sequentially connected to the sub-model of the outgoing sea cable, the wind turbine group sub-model of the same collector line is connected to the sub-model of the outgoing sea cable to obtain the overall model of the wind farm.

8. The sensitivity-based wind farm impedance characteristic analysis device according to claim 6, characterized in that: The analysis and calculation unit is specifically used for: Performing parallel resonance point analysis based on the impedance characteristic data to obtain the number of parallel resonance points; The comprehensive sensitivity of the overall wind farm model is calculated based on the sensitivity factor, the impedance characteristic data, and the number of parallel resonance points.

9. The sensitivity-based wind farm impedance characteristic analysis device according to claim 6, characterized in that: Also includes: A modeling optimization unit is used to optimize the construction process of the wind farm overall model based on the analysis result.

10. Wind farm impedance characteristic analysis equipment based on sensitivity, characterized in that: The device includes a processor and a memory; The memory is used to store program code and transmit the program code to the processor; The processor is configured to execute the sensitivity-based wind farm impedance characteristic analysis method according to any one of claims 1 to 5 according to instructions in the program code.

Images