Wind power plant active support voltage robustness control method and device

Abstract

The invention provides a wind power plant active support voltage robustness control method and device. The method comprises the steps of obtaining a wind turbine generator reactive power compensation model; performing robust support control on the real-time voltage of the grid-connected coupling point based on a reactive power compensation model to obtain a reactive power compensation value; and adjusting the reactive power output of the wind turbine generator according to the reactive power compensation value. Robust support control is carried out on the real-time voltage of the grid-connected coupling point based on the reactive power compensation model, a reactive compensation value is obtained, active voltage support is carried out on the grid-connected coupling point through the reactive compensation value, oscillation of reactive power is greatly reduced, and the reactive power compensation efficiency is improved. The negative influence of the randomness and the time-varying property of wind power generation on the power balance of the power system is effectively weakened, and the method has wide applicability.

Description

Technical Field

[0001] The present application relates to the technical field of renewable energy grid-connected power generation, and in particular to a method and device for controlling the robustness of active support voltage of a wind farm. Background Art

[0002] The connection of a large number of wind power plants to the grid is likely to cause changes in the voltage characteristics of the grid. This is because the randomness and time-varying characteristics of wind power generation may lead to a significant increase in the penetration rate of wind farms, which will have a significant impact on the power balance of the power system, and the large fluctuations in active power and reactive power may force the voltage change at the grid coupling point to exceed the stability boundary. Therefore, new requirements need to be put forward for the performance of wind power active support voltage.

[0003] It should be noted that the above introduction to the technical background is only for the convenience of providing a clear and complete description of the technical solutions of the present application and for the convenience of understanding by those skilled in the art. It cannot be considered that the above technical solutions are well known to those skilled in the art simply because they are described in the background technology section of the present application. Summary of the invention

[0004] The embodiments of the present application provide a method and device for controlling the robustness of active support voltage of a wind farm.

[0005] The first embodiment of the present application proposes a method for active robust voltage support of a wind turbine generator set, comprising:

[0006] Obtaining reactive power compensation model of wind turbines;

[0007] Based on the reactive power compensation model, a robust support control is performed on the real-time voltage of the grid coupling point to obtain a reactive power compensation value;

[0008] The reactive output of the wind turbine is adjusted according to the reactive compensation value.

[0009] The second aspect of the present application provides a device for controlling active support voltage robustness of a wind farm, including:

[0010] A first acquisition module, wherein the first acquisition module is used to acquire a reactive power compensation model of a wind turbine generator set;

[0011] A second acquisition module, the second acquisition module is used to perform robust support control on the real-time voltage of the grid coupling point based on the reactive power compensation model to obtain a reactive compensation value;

[0012] A compensation module is used to adjust the reactive output of the wind turbine according to the reactive compensation value.

[0013] The third aspect embodiment of the present application proposes an electronic device, comprising: a processor; a memory for storing instructions executable by the processor; wherein the processor is configured to execute the instructions to implement the method for active robust voltage support of a wind turbine set proposed in the first aspect embodiment of the present application.

[0014] The fourth aspect embodiment of the present application proposes a non-temporary computer-readable storage medium. When the instructions in the storage medium are executed by the processor of an electronic device, the electronic device can execute the method proposed in the first aspect embodiment of the present application.

[0015] The fifth aspect embodiment of the present application proposes a computer program product, including a computer program, which implements the method proposed in the first aspect embodiment of the present application when executed by a processor in a communication device.

[0016] The technical solution provided by the embodiments of the present application brings at least the following beneficial effects:

[0017] Based on the reactive power compensation model, the real-time voltage of the grid-connected coupling point is robustly supported and controlled to obtain the reactive compensation value. Through the reactive compensation value, the grid-connected coupling point is actively supported, which greatly reduces the oscillation of reactive power and effectively weakens the negative impact of the randomness and time-varying nature of wind power generation on the power balance of the power system. It has wide applicability.

[0018] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0020] Figure 1 A schematic flow chart of a method for active robust voltage support of a wind turbine generator system provided in an embodiment of the present application;

[0021] Figure 2 A schematic flow chart of a second method for active robust voltage support of a wind turbine generator system provided in an embodiment of the present application;

[0022] Figure 3 A schematic flow chart of a third method for active robust voltage support of a wind turbine generator system provided in an embodiment of the present application;

[0023] Figure 4 A structural schematic diagram of a robust controller model of a grid-connected coupling point provided according to an embodiment of the present application;

[0024] Figure 5A schematic diagram of the structure of a wind turbine robust voltage active support device provided in an embodiment of the present application;

[0025] Figure 6 A schematic diagram of the structure of an electronic device provided according to an embodiment of the present application;

[0026] Figure 7 The figure is a schematic diagram of the structure of another electronic device provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0027] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the embodiments of the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the embodiments of the present application as detailed in the appended claims.

[0028] The terms used in the embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to limit the embodiments of the present application. The singular forms of "a" and "the" used in the embodiments of the present application and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0029] It should be understood that, although the terms first, second, third, etc. may be used to describe various information in the embodiments of the present application, these information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of the embodiments of the present application, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the words "if" and "if" as used herein may be interpreted as "at..." or "when..." or "in response to determination".

[0030] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0031] It should be noted that the method for active robust voltage support of a wind turbine provided in any embodiment of the present application can be executed alone, or in combination with possible implementation methods in other embodiments, or in combination with any technical solution in the relevant technology.

[0032] The following describes a method and device for active robust voltage support of a wind turbine generator system according to an embodiment of the present application with reference to the accompanying drawings.

[0033] Figure 1 A schematic diagram of a process flow of a method for active robust voltage support of a wind turbine provided in an embodiment of the present application. Figure 1 As shown, the method includes but is not limited to the following steps:

[0034] S101, obtaining a reactive power compensation model for a wind turbine generator system.

[0035] In a feasible implementation, wind turbines, as an important component of renewable energy, will generate reactive power during their power generation process (reactive power refers to electrical power that does not do work in an AC circuit. Unlike active power, reactive power cannot do work or be consumed. It is mainly manifested as the power generated by the reaction current of capacitors and inductors. In the circuit, reactive power will cause power factor problems in the power system, and will also cause the energy within the power system to flow to each other, reducing the efficiency of the power system), which poses a challenge to the stability and power quality of the power grid. The reactive power compensation model aims to reduce the impact of reactive power on the power grid through a reasonable compensation strategy and improve the overall efficiency and stability of the wind power system.

[0036] The basic principle of reactive power compensation is to connect a reactive compensation device in parallel to the output end of the wind turbine so that the reactive power generated by the wind turbine can be absorbed by the power grid or injected into the power grid, thereby achieving power balance. This principle is the basis for building a reactive power compensation model. The reactive power compensation methods of wind turbines mainly include static reactive compensation and dynamic reactive compensation. Among them, static reactive compensation can provide reactive power at the output end of the wind turbine through a compensation device composed of parallel capacitors to achieve reactive compensation; it can also be composed of a compensation device composed of parallel reactors to absorb or inject reactive power into the power grid. Dynamic reactive compensation can adjust the reactive power by adjusting the reactive current of the wind turbine; it can also adjust the reactive power by controlling the terminal voltage of the wind turbine.

[0037] When constructing a reactive power compensation model for a wind turbine, it is usually necessary to consider the operating characteristics of the wind turbine (including the type of generator set, whether it is an asynchronous generator or a synchronous generator, as well as the rated power and the impact of wind speed changes on the output power), the grid demand (including the grid's demand for reactive power, voltage stability requirements, etc.), and the demand for reactive compensation devices (including the type, capacity, response time, etc. of the compensation device). Based on the above elements, a reactive power compensation model for a wind turbine is constructed, including determining reactive power demand, selecting reactive power compensation devices, determining compensation strategies, establishing a digital model (the mathematical model can be a time series model, a regression model, a genetic algorithm model, a particle swarm model, a support vector regression model, etc., which should be selected and set according to actual needs and will not be described here), and simulating and optimizing the model.

[0038] S102, performing robust support control on the real-time voltage of the grid coupling point based on the reactive power compensation model to obtain a reactive compensation value.

[0039] In a feasible implementation, the real-time voltage of the grid-connected coupling point (the grid-connected coupling point refers to a special location in the power system, especially in the grid connection or distribution of new energy, where multiple lines are compared to a point. It plays an important role in transmitting and distributing electric energy in the power system. The stability of the grid-connected coupling point is crucial to the stable operation of the power grid. In the distribution network, the grid-connected coupling point helps to achieve fault isolation and rapid recovery, and improve the reliability of power supply) can be detected through a sensor network, and the reactive power demand of the grid-connected coupling point can be obtained. The detection data is processed and analyzed by the reactive power compensation model to obtain key information for robust support control. Among them, the disturbance information of the wind turbine can be obtained through the reactive power compensation model; and the robust support control calculates the required reactive compensation value based on the disturbance information, the voltage value and reactive power demand monitored in real time.

[0040] It should be noted that robust support control is a control strategy for the uncertainty of the power system and improves the stability of the system. In the voltage control of the grid coupling point, robust support control can ensure that the system can remain stable under various disturbances and achieve accurate control of the voltage. According to the robust control algorithm (the robust control algorithm includes H∞ control, μ synthesis, H2 / H∞ control, adaptive control algorithm, etc.), the reactive compensation value is calculated and fine-tuned.

[0041] As an example, a two-phase orthogonal current can be constructed at the grid coupling point, and the instantaneous reactive current ip-iq algorithm can be used to detect the DC component of the reactive current of the single-phase load; then, the robust support control obtains the DC component of the active current through the DC side voltage outer loop PI control output, thereby obtaining the grid-connected command current. In this embodiment, the DC component of the reactive current can be characterized as a reactive compensation value.

[0042] S103, adjusting the reactive output of the wind turbine according to the reactive compensation value.

[0043] In a feasible implementation, after obtaining the reactive power compensation value, static reactive power compensation or dynamic reactive power compensation can be performed on the wind turbine, and the power factor of the wind turbine can be controlled within a certain range to ensure the stability of the power grid and the quality of power. In the process of reactive power compensation, it is usually necessary to avoid resonance to avoid damage to the power grid and the wind turbine.

[0044] In summary, based on the reactive power compensation model, the real-time voltage of the grid-connected coupling point is robustly supported and controlled to obtain the reactive compensation value. Through the reactive compensation value, the grid-connected coupling point is actively supported, which greatly reduces the oscillation of reactive power and effectively weakens the negative impact of the randomness and time-varying nature of wind power generation on the power balance of the power system. It has wide applicability.

[0045] Figure 2 The second wind turbine generator system robust voltage active support method provided in the present application is a flow chart of the present invention. Figure 2 As shown, the method includes but is not limited to the following steps:

[0046] S201, obtaining historical operating parameters of the wind turbine generator system.

[0047] In a feasible implementation, to obtain the historical operating parameters of the wind turbine, it is usually necessary to extract them from a professional wind farm operation and maintenance management system or data recording system. These systems generally record and store various operating parameters of the wind turbine in real time, including but not limited to wind speed, generator speed, output power, gearbox temperature, bearing temperature, oil pool temperature, etc.; the historical operating parameter data obtained may need to be screened and processed to remove invalid or abnormal data points; after obtaining valid historical operating parameter data, further data analysis can be performed to understand the operating status and performance of the wind turbine.

[0048] For further introduction to step S201, please refer to the relevant contents in the above embodiment, which will not be repeated here.

[0049] S202, obtaining a reactive power compensation model for the wind turbine generator system based on correlation analysis of historical operating parameters.

[0050] In a feasible implementation, historical reactive power output data and historical meteorological data related to reactive power output are screened out from historical operating parameters. Further, according to the preset sampling period and load constraints, the historical operating parameters are screened to obtain the first intermediate data; based on the preprocessing of the first intermediate data, the historical reactive power output data and historical meteorological data related to reactive power output are obtained. Among them, all relevant reactive power output data can be obtained from the power grid historical database corresponding to the historical operating parameters; and obviously erroneous data such as negative values ​​(in the power system, reactive power is usually not negative, unless there is a reverse compensation situation of special equipment such as reactive compensation device, but this situation is relatively rare and requires specific judgment), abnormally large values ​​or abnormally small values ​​are removed; duplicate data are removed to ensure that each timestamp corresponds to a unique reactive power value; then, according to actual needs, the screening conditions are set, for example, data within a specific time period can be selected, or data under a specific load level can be selected; for missing values, interpolation or other methods can be used to fill them, but attention should be paid to the rationality and accuracy of the filling method, but if there are many missing data, it may affect the continuity and authenticity of the data, and it needs to be handled with caution.

[0051] Historical meteorological data, including temperature, humidity, wind speed, wind direction, air pressure, etc., can be obtained from meteorological departments or related websites corresponding to historical operating parameters; obviously erroneous data, such as abnormally large values ​​or abnormally small values, can be removed; for missing values, reasonable methods are also needed to fill or process them; according to the characteristics and influencing factors of reactive power output, meteorological parameters that may be related to reactive power output are selected for screening, for example, wind speed and wind direction may be related to the reactive power output of wind farms; temperature and humidity may be related to the load and reactive power demand of the power system; then reasonable screening conditions are set, such as time range, thresholds of meteorological parameters, etc. For example, meteorological data that matches the timestamp of reactive power output data can be selected, or screening can be performed according to a reasonable range of meteorological parameters to remove outliers; the screened meteorological data is matched with the reactive power output data to ensure that each reactive power output data point has corresponding meteorological data. If there is a timestamp mismatch, interpolation or other methods can be used for time alignment.

[0052] After screening out the historical reactive power output data and the historical meteorological data related to the reactive power output, multiple prediction factors are obtained based on regression analysis of the reactive power output data and the historical meteorological data. Further, the data types of the historical reactive power output data and the historical meteorological data are obtained; and the regression model is determined according to the data type. It should be noted that a suitable regression model can be selected according to the characteristics of the data, such as linear regression, multivariate linear regression, nonlinear regression, etc. In this embodiment, multivariate linear regression can be selected for preliminary analysis. Then, according to the regression model, a regression equation is established between the independent variable being the historical meteorological data and the dependent variable being the historical reactive power output data; then, based on the least squares method, the parameters in the regression equation are estimated to obtain multiple prediction factors.

[0053] After obtaining multiple prediction factors, a reactive power compensation model of the wind turbine is obtained based on correlation analysis of the multiple prediction factors. Further, based on correlation analysis of the multiple prediction factors, a quantitative index between the prediction factor and reactive power is obtained. As an example, the quantitative index may be a regression coefficient. The larger the regression coefficient value, the greater the influence of the independent variable on the reactive power output.

[0054] Then, based on recursive feature elimination, a target prediction factor strongly correlated with reactive power is screened out from multiple quantitative indicators. It should be noted that a target prediction factor strongly correlated with reactive power can also be obtained through a significance test.

[0055] Then, according to the aerodynamics and the energy conversion process of the wind turbine, the initial model of the reactive power of the wind turbine is determined; and based on the initial model, the target prediction factor is trained to obtain the reactive power compensation model of the wind turbine.

[0056] For further introduction to step S202, please refer to the relevant contents in the above embodiment, which will not be repeated here.

[0057] S203, performing robust support control on the real-time voltage of the grid coupling point based on the reactive power compensation model to obtain a reactive compensation value.

[0058] In a feasible implementation, the real-time voltage of the grid-connected coupling point can be collected based on the reactive power compensation model to obtain the disturbance input value of the grid-connected coupling point. It should be noted that the disturbance input value is the fluctuation of voltage or reactive power caused by various factors (such as load changes, system failures, etc.) at the grid-connected coupling point. The disturbance can be feature extracted by the reactive power compensation model to obtain relevant eigenvalues; then, according to the extracted eigenvalues, it is classified by alignment of the reactive power compensation model; then, according to the classification results, the disturbance input value of the grid-connected coupling point is calculated.

[0059] Next, a robust controller model of the grid-connected coupling point is obtained, and based on the robust controller model and the disturbance input value, a system state equation and a control state equation of the grid-connected coupling point are obtained. Figure 4 Schematic diagram of the structure of the robust controller model of the grid-connected coupling point provided according to the embodiment of the present application, such as Figure 4 As shown, G represents the grid coupling point; K represents the robust controller; D represents the disturbance input value; Usup represents the superposition value of the grid coupling point and the disturbance input value; Usup represents the support value of the robust controller, where Qsup = K*Usup. In order to ensure the accuracy of the data, a low-pass filter W1 and a high-pass filter W2 are also set. The output values ​​of the low-pass filter W1 and the high-pass filter W2 are Z1 and Z2 respectively, where Z1 and Z2 are used to measure the regulation output of the robust controller performance, Z1 is used to represent the regulation of reactive compensation, and Z2 is used to represent the regulation of the voltage at the grid coupling point.

[0060] Furthermore, based on the design method of the robust controller, the system state equation and the control state equation are obtained, wherein the state equation of the grid coupling point G is: in, is the output of the grid-connected coupling point G at the next moment, X is the output of the grid-connected coupling point G at the current moment, and A and B are the coefficients of the grid-connected coupling point G (set according to requirements).

[0061] The state equation of the low-pass filter W1 is: Z1=C*X+D, where C is the coefficient of the low-pass filter W1 and is set according to requirements.

[0062] The state equation of the high-pass filter W2 is: Z2 = Qsup.

[0063] The state equation of Usup is: Usup=C*X+D.

[0064] The control state equation is: Qsup=C K *X K +D K *Usup, where X K A is the state variable of the robust controller at the current moment; K , B K is the coefficient of the grid coupling point G in the control state equation; C K The coefficient of the low-pass filter W1 in the control state equation is represented by D K It is the representation of the disturbance input value in the control state equation.

[0065] Then, based on the fusion of the system state equation and the control state equation, the closed-loop state equation of the grid-connected coupling point is obtained. It should be noted that the fusion operation is to substitute the system state equation into the control state equation, and then obtain the closed-loop system state equation of the grid-connected coupling point, wherein the closed-loop system state equation is used to describe the differential equation between the state variable of the grid-connected coupling point and the input and output. In the closed-loop system, its output can be adjusted by feedback to achieve the desired goal, wherein the expression form of the closed-loop system state equation is not repeated here.

[0066] Then, based on the rank operation of the matrix corresponding to the closed-loop state equation, the reactive compensation value is obtained. It should be noted that, in this embodiment, the rank of the matrix corresponding to the closed-loop state equation can be calculated by using the MATLAB tool, and by adjusting the elements in the matrix, the matrix when the rank is negative is obtained, and then the reactive compensation value is obtained, which can be represented as Usup.

[0067] For further introduction to step S203, please refer to the relevant contents in the above embodiment, which will not be repeated here.

[0068] S204: adjusting the reactive output of the wind turbine according to the reactive compensation value.

[0069] For further introduction to step S204, please refer to the relevant contents in the above embodiment, which will not be repeated here.

[0070] In summary, based on the reactive power compensation model, the real-time voltage of the grid-connected coupling point is robustly supported and controlled to obtain the reactive compensation value. Through the reactive compensation value, the grid-connected coupling point is actively supported, which greatly reduces the oscillation of reactive power and effectively weakens the negative impact of the randomness and time-varying nature of wind power generation on the power balance of the power system. It has wide applicability.

[0071] Figure 3 The third wind turbine generator system robust voltage active support method provided in the present application is a flow chart of the present invention. Figure 3 As shown, the method includes but is not limited to the following steps:

[0072] S301, detecting the real-time voltage of the grid coupling point.

[0073] It should be noted that if the real-time voltage exceeds the threshold, step S302 is performed.

[0074] S302: Perform robust support control on the real-time voltage of the grid coupling point based on the reactive power compensation model to obtain a reactive compensation value.

[0075] For further introduction to step S302, please refer to the relevant contents in the above embodiment, which will not be repeated here.

[0076] S303: Provide reactive voltage support for the wind turbine generator set according to the reactive compensation value.

[0077] For further introduction to step S303, please refer to the relevant contents in the above embodiment, which will not be repeated here.

[0078] S304, detecting the real-time voltage of the grid coupling point again.

[0079] It should be noted that if the real-time voltage exceeds the threshold, step S302 is performed; if the real-time voltage does not exceed the threshold, the adjustment is terminated.

[0080] For further introduction to step S304, please refer to the relevant contents in the above embodiment, which will not be repeated here.

[0081] In summary, based on the reactive power compensation model, the real-time voltage of the grid-connected coupling point is robustly supported and controlled to obtain the reactive compensation value. Through the reactive compensation value, the grid-connected coupling point is actively supported, which greatly reduces the oscillation of reactive power and effectively weakens the negative impact of the randomness and time-varying nature of wind power generation on the power balance of the power system. It has wide applicability.

[0082] Figure 5 This is a schematic diagram of the structure of a wind turbine robust voltage active support device provided in an embodiment of the present application. Figure 5 As shown, the wind turbine group robust voltage active support device 500 includes:

[0083] A first acquisition module 501, the first acquisition module 501 is used to acquire a reactive power compensation model of a wind turbine generator set;

[0084] A second acquisition module 502, the second acquisition module 502 is used to perform robust support control on the real-time voltage of the grid coupling point based on the reactive power compensation model to obtain a reactive compensation value;

[0085] The compensation module 503 is used to adjust the reactive output of the wind turbine according to the reactive compensation value.

[0086] Figure 6 The present invention is a schematic diagram of the structure of an electronic device provided according to an embodiment of the present application. Figure 6 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0087] like Figure 6As shown, the electronic device 600 includes a processor 601, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 602 or a program loaded from a memory 606 to a random access memory (RAM) 603. In the RAM 603, various programs and data required for the operation of the electronic device 600 are also stored. The processor 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. An input / output (I / O) interface 605 is also connected to the bus 604.

[0088] The following components are connected to the I / O interface 605: a memory 606 including a hard disk, etc.; and a communication part 607 including a network interface card such as a LAN (Local Area Network) card, a modem, etc., and the communication part 607 performs communication processing via a network such as the Internet; a drive 608 is also connected to the I / O interface 605 as needed.

[0089] In particular, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 607. When the computer program is executed by the processor 601, the above-mentioned functions defined in the method of the present application are executed.

[0090] In an exemplary embodiment, a storage medium including instructions is also provided, such as a memory including instructions, and the instructions can be executed by the processor 601 of the electronic device 600 to complete the above method. Optionally, the storage medium can be a non-transitory computer-readable storage medium, for example, the non-transitory computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0091] In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, apparatus, or device. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in combination with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium may be transmitted using any suitable medium, including but not limited to: wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

[0092] Figure 7 The figure is a schematic diagram of the structure of another electronic device provided according to an embodiment of the present application. Figure 7 The electronic device shown is only an example and should not limit the functions and scope of use of the embodiments of the present application. Figure 7 As shown, the electronic device 700 includes a processor 701 and a memory 702. The memory 702 is used to store program codes, and the processor 701 is connected to the memory 702 to read the program codes from the memory 702 to implement the method for active robust voltage support of wind turbines in the above embodiment.

[0093] Optionally, the number of processors 701 may be one or more.

[0094] Optionally, the electronic device may further include an interface 703, and the number of the interface 703 may be multiple. The interface 703 may be connected to an application program and may receive data from an external device such as a sensor.

[0095] Those skilled in the art will readily appreciate other embodiments of the present invention after considering the specification and practicing the invention disclosed herein. This application is intended to cover any variations, uses or adaptations of the present invention that follow the general principles of the present invention and include common knowledge or customary techniques in the art that are not disclosed in this application. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present application are indicated by the following claims.

[0096] It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A method for active robust voltage support of a wind turbine generator system, characterized in that: include: Obtaining reactive power compensation model of wind turbines; Based on the reactive power compensation model, a robust support control is performed on the real-time voltage of the grid coupling point to obtain a reactive power compensation value; The reactive output of the wind turbine is adjusted according to the reactive compensation value.

2. The method according to claim 1, characterized in that The step of obtaining a reactive power compensation model for a wind turbine generator system includes: Obtain historical operating parameters of wind turbines; Filtering out historical reactive power output data and historical meteorological data related to reactive power output from the historical operating parameters; Based on the regression analysis of the historical reactive power output data and the historical meteorological data, a plurality of prediction factors are obtained; Based on correlation analysis of the plurality of prediction factors, a reactive power compensation model of the wind turbine is obtained.

3. The method according to claim 2, characterized in that The filtering out of the historical reactive power output data and the historical meteorological data related to the reactive power output from the historical operating parameters includes: According to a preset sampling period and load constraint, the historical operating parameters are screened to obtain first intermediate data; Based on preprocessing the first intermediate data, historical reactive power output data and historical meteorological data related to reactive power output are obtained.

4. The method according to claim 2, characterized in that: The method of obtaining a plurality of prediction factors based on a regression analysis of the historical reactive power output data and the historical meteorological data includes: Acquire data types of the historical reactive power output data and the historical meteorological data; Determining a regression model according to the data type; According to the regression model, a regression equation is established between the independent variable being the historical meteorological data and the dependent variable being the historical reactive power output data; Based on the least square method, the parameters in the regression equation are estimated to obtain multiple prediction factors.

5. The method according to claim 2, characterized in that: The step of obtaining a reactive power compensation model for a wind turbine generator system based on correlation analysis of the plurality of prediction factors includes: Based on correlation analysis of the plurality of prediction factors, a quantitative index between each prediction factor and reactive power is obtained; Based on recursive feature elimination, a target prediction factor strongly correlated with reactive power is screened out from the plurality of quantitative indicators; Determine the initial model of wind turbine reactive power based on aerodynamics and wind turbine energy conversion process; The target prediction factor is trained based on the initial model to obtain a reactive power compensation model for a wind turbine generator set.

6. The method according to claim 1, characterized in that The step of performing robust support control on the real-time voltage of the grid-connected coupling point based on the reactive power compensation model to obtain a reactive compensation value includes: Acquiring a disturbance input value of the grid-connected coupling point based on the real-time voltage of the grid-connected coupling point collected by the reactive power compensation model; Acquire a robust controller model of the grid-connected coupling point, and acquire a system state equation and a control state equation of the grid-connected coupling point according to the robust controller model and the disturbance input value; Based on fusing the system state equation and the control state equation, a closed-loop state equation of the grid-connected coupling point is obtained; Based on performing a rank operation on a matrix corresponding to the closed-loop state equation, a reactive compensation value is obtained.

7. A wind turbine robust voltage active support device, characterized in that: include: A first acquisition module, wherein the first acquisition module is used to acquire a reactive power compensation model of a wind turbine generator set; A second acquisition module, the second acquisition module is used to perform robust support control on the real-time voltage of the grid coupling point based on the reactive power compensation model to obtain a reactive compensation value; A compensation module is used to adjust the reactive output of the wind turbine according to the reactive compensation value.

8. An electronic device, characterized in that: include: processor; a memory for storing instructions executable by the processor; The processor is configured to execute the instructions to implement the method according to any one of claims 1 to 6.

9. A non-transitory computer-readable storage medium, characterized in that: When the instructions in the storage medium are executed by a processor of an electronic device, the electronic device is enabled to execute the method as claimed in any one of claims 1 to 6.

10. A computer program product, characterized in that The invention comprises a computer program, which implements the method according to any one of claims 1 to 6 when being executed by a processor.

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