Fan load optimization control method and system based on load estimator

Abstract

The invention provides a fan load optimization control method and system based on a load estimator, and belongs to the technical field of fan loads.A fan simulation model is established, and a fan blade thrust curve is generated through the fan simulation model; establishing a load estimator equivalent model of a fan pneumatic system under the condition that the fan blade thrust curve is known; determining a fan load safety threshold through the load estimator equivalent model; establishing a fan variable pitch system control model; and based on the fan load safety threshold value, the fan load is adjusted through a fan variable pitch control system, and specifically, the pitch angle and the rotating speed are adjusted to achieve fan load adjustment. Therefore, the timeliness of the response of the control system and the accuracy of load control can be improved, the load of the fan can be accurately controlled under the complex working condition of the fan, overload of the fan is prevented, the controllability of safe operation is improved, and the service life of the fan is prolonged.

Description

Technical Field

[0001] The present invention belongs to the technical field of fan loads, and in particular relates to a fan load optimization control method and system based on a load estimator. Background Art

[0002] With the rapid development of wind power technology, the scale and capacity of wind turbines have continued to increase, and the loads they bear during operation have become increasingly complex and diverse. Wind loads primarily originate from the effects of wind, including axial horizontal force, vertical force, shear force, yaw moment, overturning moment, and rotational moment. These loads not only affect the structural safety of wind turbines but also significantly impact their operating efficiency and lifespan. Therefore, effectively controlling and optimizing wind turbine loads has become a key research topic in the field of wind power generation.

[0003] Traditional wind turbine load control methods mainly rely on feedback control from the wind turbine main control system. Traditional control methods rely on feedback signals from the wind turbine main control system, which usually have a certain delay and are difficult to respond to sudden wind speed changes or load fluctuations in a timely manner, causing the wind turbine to easily overload under extreme wind conditions.

[0004] Furthermore, traditional control methods are often based on simplified load models, making it difficult to accurately estimate the complex loads experienced by wind turbines during actual operation. This is especially true when wind speeds fluctuate dramatically or wind direction is unstable, where traditional models can produce large estimation errors, leading to suboptimal control results.

[0005] In summary, traditional wind turbine load control methods suffer from deficiencies such as insufficient real-time performance, inaccurate load estimation, and a single control strategy. These shortcomings result in suboptimal load control in complex wind conditions, easily leading to wind turbine overloads and impacting safe operation and service life. Summary of the Invention

[0006] In view of the above problems, the present invention proposes a wind turbine load optimization control method and system based on a load estimator, which can improve the timeliness of control system response and the accuracy of load control.

[0007] An embodiment of the present application provides a method for optimizing and controlling a wind turbine load based on a load estimator, including:

[0008] Establishing a fan simulation model, and generating a fan blade thrust curve through the fan simulation model;

[0009] When the thrust curve of the fan blade is known, establishing an equivalent model of a load estimator of the fan aerodynamic system;

[0010] Determining a wind turbine load safety threshold by using the load estimator equivalent model;

[0011] Establish a wind turbine pitch control system model;

[0012] Based on the wind turbine load safety threshold, the wind turbine load is adjusted by a wind turbine pitch control system.

[0013] Furthermore, the establishment of the wind turbine simulation model includes:

[0014] Under the fan output state, a fan simulation model is established in which the fan blades perform work on the load under the working conditions from the reactive state to the fully powered state.

[0015] Furthermore, generating a fan blade thrust curve using the fan simulation model includes:

[0016] A fan blade thrust curve is generated according to the thrust of the fan blades working on the load from the working condition of the fan in the reactive state to the working condition of the fan in the fully working state.

[0017] Furthermore, when the thrust curve of the fan blade is known, establishing an equivalent model of a load estimator of the fan aerodynamic system includes:

[0018] Establish a blade load model caused by the fan blades according to the fan blade motion;

[0019] A wind load model is established based on the load caused by the wind load acting on the wind turbine tower due to the movement of the wind turbine blades.

[0020] Furthermore, determining the wind turbine load safety threshold by using the load estimator equivalent model includes:

[0021] Obtain wind speed, wind rotor speed, generator speed and electromagnetic torque through lidar;

[0022] The load safety threshold is calculated according to the wind speed, the wind wheel speed, the generator speed and the electromagnetic torque.

[0023] Furthermore, the establishment of a wind turbine pitch control system control model includes:

[0024] When the power of the wind turbine generator set is constant in the pitch-variable area, the first-order Taylor expansion of the power, torque and speed of the wind turbine is performed to obtain the wind turbine pitch-variable system control model.

[0025] Furthermore, based on the wind turbine load safety threshold, the wind turbine load is adjusted by a wind turbine pitch control system, including:

[0026] Comparing the load simulation value with the wind turbine load safety threshold to obtain an abnormal load value, wherein the abnormal load value includes a pitch angle difference and a speed difference of the wind turbine;

[0027] The edge controller in the wind turbine pitch control system adjusts the pitch angle and the wind turbine speed according to the abnormal load value.

[0028] Furthermore, based on the wind turbine load safety threshold, the wind turbine load is adjusted by a wind turbine pitch control system, including:

[0029] Superimposing the current pitch angle and the pitch angle difference to obtain a second pitch angle value;

[0030] The current speed is superimposed on the speed difference to obtain a second speed value.

[0031] Furthermore, the method further comprises:

[0032] The electromagnetic torque of the generator is determined according to the rated speed of the low-speed shaft of the fan, the rated power of the fan and the speed ratio of the gearbox;

[0033] The aerodynamic torque is determined based on the rated speed of the fan low-speed shaft and the rated power of the fan.

[0034] Furthermore, the method further comprises:

[0035] The wind turbine pitch controller is determined by changing the pitch angle gain.

[0036] Based on the same inventive concept, another embodiment of the present application provides a wind turbine load optimization control system based on a load estimator, comprising:

[0037] A thrust curve unit is used to establish a fan simulation model and generate a fan blade thrust curve through the fan simulation model;

[0038] a load estimation unit, configured to establish a load estimator equivalent model of the fan aerodynamic system when the thrust curve of the fan blade is known;

[0039] A safety threshold unit, configured to determine a wind turbine load safety threshold by using the load estimator equivalent model;

[0040] Pitch system unit, used to establish a wind turbine pitch system control model;

[0041] A load adjustment unit is used to adjust the wind turbine load through a wind turbine pitch control system based on the wind turbine load safety threshold.

[0042] Based on the same inventive concept, another embodiment of the present application provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor;

[0043] When the processor executes the computer program, a fan load optimization control method based on a load estimator is implemented.

[0044] Based on the same inventive concept, another embodiment of the present application provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, a wind turbine load optimization control method based on a load estimator is implemented.

[0045] Beneficial effects of the present invention:

[0046] This application establishes a wind turbine simulation model, generates a wind turbine blade thrust curve through the wind turbine simulation model; establishes a load estimator equivalent model of the wind turbine aerodynamic system when the wind turbine blade thrust curve is known; determines the wind turbine load safety threshold through the load estimator equivalent model; establishes a wind turbine pitch control system control model; and based on the wind turbine load safety threshold, adjusts the wind turbine load through the wind turbine pitch control system, specifically adjusting the pitch angle and the speed to achieve wind turbine load regulation. It can be seen from this that the timeliness of the control system response and the accuracy of load control can be improved, thereby enabling the wind turbine to accurately control the wind turbine load under complex working conditions, and preventing the wind turbine from overloading, thereby improving the controllability of safe operation and the service life of the wind turbine.

[0047] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures pointed out in the description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following is a brief introduction to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0049] Figure 1 A flow chart of a fan load optimization control method based on a load estimator is shown;

[0050] Figure 2 A schematic diagram of a wind turbine load optimization control system based on a load estimator is shown;

[0051] Figure 3 A schematic diagram of an electronic device is shown. DETAILED DESCRIPTION

[0052] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. 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 ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0053] It should be noted that the terms "first", "second" etc. in this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the application described herein. In this application, the directions or positional relationships indicated by the terms "upper", "lower", "left", "right", "front", "back", "top", "bottom", "inside", "outside", "center", "vertical", "horizontal", "lateral", "longitudinal" etc. are based on the directions or positional relationships shown in the accompanying drawings.

[0054] The parameter measurement device involved in this application includes but is not limited to a nacelle-type wind measurement lidar device, which can at least detect parameters such as wind speed, rotor speed, generator speed, and electromagnetic torque of a wind turbine based on its radar.

[0055] On the one hand, the embodiment of the present application provides a method for optimizing the control of wind turbine load based on a load estimator. Figure 1 ,include:

[0056] S101: Establishing a fan simulation model, and generating a fan blade thrust curve through the fan simulation model;

[0057] S102: When the thrust curve of the fan blade is known, establish an equivalent model of a load estimator of the fan aerodynamic system;

[0058] S103: Determine a wind turbine load safety threshold value through the load estimator equivalent model;

[0059] S104: Establishing a wind turbine pitch control system control model;

[0060] S105: Based on the wind turbine load safety threshold, the wind turbine load is adjusted by a wind turbine pitch control system.

[0061] Specifically, the establishment of the wind turbine simulation model includes:

[0062] Under the fan output state, a fan simulation model is established in which the fan blades perform work on the load under the working conditions from the reactive state to the fully powered state.

[0063] In some optional implementations, generating a fan blade thrust curve using the fan simulation model includes:

[0064] A fan blade thrust curve is generated according to the thrust of the fan blades working on the load from the working condition of the fan in the reactive state to the working condition of the fan in the fully working state.

[0065] It should be noted that the wind turbine blade thrust curve or the wind turbine blade thrust curve refers to the parameters of the same device. There may be different expressions in this application, but it should be known that they refer to the parameters of the same device. The wind turbine blade thrust curve is based on the wind turbine simulation model. On the basis of the wind turbine simulation model, the thrust of the wind turbine blade is obtained through the working stage from the reactive state to the fully working state to form a continuous thrust curve.

[0066] In some specific embodiments, when the thrust curve of the fan blade is known, establishing an equivalent model of a load estimator of the fan aerodynamic system includes:

[0067] Establish a blade load model caused by the fan blades according to the fan blade motion;

[0068] A wind load model is established based on the load caused by the wind load acting on the wind turbine tower due to the movement of the wind turbine blades.

[0069] Specifically, although the load calculation includes the calculation and superposition of axial horizontal force, vertical force, shear force, yaw moment, overturning moment, rotational moment, etc., the variable pitch control of the wind turbine is the most effective means to achieve load reduction. Therefore, the load estimator uses the load caused by blade movement and wind load acting on the wind turbine tower as the main analysis objects.

[0070] The specific mathematical model of the load caused by the fan blades can be expressed as:

[0071] F t =0.5SρV 2 C t (λ, β)

[0072] The specific mathematical model of wind load acting on the wind turbine tower can be expressed as:

[0073]

[0074] Where Ft represents the wind turbine blade load, S represents the area of ​​the rotor swept plane; ρ represents the air density; V represents the wind speed; Ct represents the thrust coefficient of the wind turbine blade, dimensionless; β represents the pitch angle of the wind turbine; λ represents the tip speed ratio, dimensionless; wk represents the standard value of the wind load, dimensionless; μz represents the wind pressure height variation coefficient, dimensionless; μs represents the wind load body shape coefficient, dimensionless; βz represents the wind vibration coefficient at height z, dimensionless; w0 represents the basic wind pressure, dimensionless.

[0075] In some specific implementations, determining the wind turbine load safety threshold using the load estimator equivalent model includes:

[0076] Obtain wind speed, wind rotor speed, generator speed and electromagnetic torque through lidar;

[0077] The load safety threshold is calculated according to the wind speed, the wind rotor speed, the generator speed and the electromagnetic torque.

[0078] Furthermore, the establishment of a wind turbine pitch control system control model includes:

[0079] When the power of the wind turbine generator set is constant in the pitch-variable area, the first-order Taylor expansion of the power, torque and speed of the wind turbine is performed to obtain the wind turbine pitch-variable system control model.

[0080] Specifically, the wind turbine's pitch controller is closely related to the wind turbine's motion. The wind turbine's motion equation can be specifically expressed as:

[0081]

[0082] According to the variable pitch control principle of the wind turbine main control, the wind turbine generator set must ensure constant power in the variable pitch area. Therefore, the torque and speed are inversely proportional. Ignoring the change of aerodynamic torque with rotor speed, the power, torque and speed are expanded by the first order Taylor, which can be specifically expressed as:

[0083]

[0084] The sensitivity of aerodynamic power to the collective pitch of the rotor varies, and a constant PI gain is insufficient to effectively control the speed. Therefore, a variable pitch angle gain is used to design the wind turbine pitch PI controller. This can be specifically expressed as:

[0085]

[0086] in

[0087]

[0088] in

[0089]

[0090] Where, IRotor represents the moment of inertia of the wind rotor; IGen represents the moment of inertia of the generator rotor; Ngear represents the gear ratio of the gearbox, which is dimensionless; Taero represents the aerodynamic torque; TGen represents the electromagnetic torque of the generator; P0 represents the rated power of the wind turbine; Ω represents the speed of the low-speed shaft of the wind turbine; ΔΩ represents the small disturbance of the speed of the low-speed shaft of the wind turbine to the rated speed; t represents the simulation time; θ represents the pitch angle of the wind turbine; Δθ represents the small disturbance of the pitch angle of the wind turbine blade to its operating point; IDrivetrain represents the total moment of inertia converted to the low-speed shaft.

[0091] It should be noted that the PID control used in this application is a proportional-integral-derivative control method. PID control is a feedback control algorithm consisting of three parts: proportional (P), integral (I), and derivative (D). Its core idea is to reduce system errors by continuously adjusting the control variable so that the system output is as close to the set target value as possible. PID control is widely used in industrial control, robot control, autonomous driving and other fields, and is favored for its simple algorithm, good robustness and high reliability.

[0092] PID control adjusts the control quantity through three links: proportional, integral and differential. Specifically:

[0093] Proportional Component (P): Proportionally reflects the control system's deviation signal, instantly reducing the error. A larger proportional coefficient results in a faster system response, but may also cause overshoot and oscillation, affecting system stability.

[0094] Integral (I): Integrates the error, eliminates static error, and improves the system's accuracy. The larger the integral time constant, the weaker the integral effect; conversely, the stronger it is.

[0095] Differential link (D): reflects the changing trend of the deviation signal, introduces the correction signal in advance, speeds up the system action speed, and reduces the adjustment time.

[0096] In some specific embodiments, adjusting the wind turbine load by a wind turbine pitch control system based on the wind turbine load safety threshold includes:

[0097] Comparing the load simulation value with the wind turbine load safety threshold to obtain an abnormal load value, wherein the abnormal load value includes a pitch angle difference and a speed difference of the wind turbine;

[0098] The edge controller in the wind turbine pitch control system adjusts the pitch angle and the wind turbine speed according to the abnormal load value.

[0099] Specifically, based on the wind turbine load safety threshold, adjusting the wind turbine load through a wind turbine pitch control system includes:

[0100] Superimposing the current pitch angle and the pitch angle difference to obtain a second pitch angle value;

[0101] The current speed is superimposed on the speed difference to obtain a second speed value.

[0102] Specifically, adjusting the pitch angle or reducing the rotation speed is as follows:

[0103]

[0104] Where βnew represents the adjusted second pitch angle; βold represents the current pitch angle; ωnew represents the adjusted second speed; ωold represents the current speed.

[0105] Based on the wind turbine load safety threshold, the wind turbine load is adjusted by the wind turbine pitch control system, specifically by adjusting the pitch angle and speed. This improves the timeliness of the control system response and the accuracy of load control, thereby enabling precise control of the wind turbine load under complex operating conditions.

[0106] In some specific embodiments, the method further comprises:

[0107] The electromagnetic torque of the generator is determined according to the rated speed of the low-speed shaft of the fan, the rated power of the fan and the speed ratio of the gearbox;

[0108] The aerodynamic torque is determined based on the rated speed of the fan low-speed shaft and the rated power of the fan.

[0109] The wind turbine pitch controller is determined by changing the pitch angle gain.

[0110] Based on the same inventive concept, another embodiment of the present application provides a wind turbine load optimization control system based on a load estimator, see Figure 2 ,include:

[0111] A thrust curve unit 201 is used to establish a fan simulation model and generate a fan blade thrust curve through the fan simulation model;

[0112] A load estimation unit 202 is configured to establish a load estimator equivalent model of the fan aerodynamic system when the thrust curve of the fan blade is known;

[0113] A safety threshold unit 203 is configured to determine a wind turbine load safety threshold using the load estimator equivalent model;

[0114] The pitch system unit 204 is used to establish a wind turbine pitch system control model;

[0115] The load adjustment unit 205 is configured to adjust the wind turbine load through a wind turbine pitch control system based on the wind turbine load safety threshold.

[0116] Based on the same inventive concept, another embodiment of the present application provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor;

[0117] When the processor executes the computer program, a fan load optimization control method based on a load estimator is implemented.

[0118] Based on the same inventive concept, another embodiment of the present application provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, a wind turbine load optimization control method based on a load estimator is implemented.

[0119] like Figure 3 As shown, an embodiment of the present application also provides an electronic device 300, including a memory 310, a processor 320, and a computer program 311 stored in the memory 310 and executable on the processor. When the processor 320 executes the computer program 311, the steps of any one of the above-mentioned methods for optimizing the load control of a wind turbine based on a load estimator are implemented.

[0120] Since the electronic device introduced in this embodiment is a device used to implement a wind turbine load optimization control system based on a load estimator in the embodiment of this application, based on the method introduced in the embodiment of this application, technical personnel in this field can understand the specific implementation of the electronic device of this embodiment and its various variations. Therefore, how the electronic device implements the method in the embodiment of this application will not be introduced in detail here. As long as the equipment used by technical personnel in this field to implement the method in the embodiment of this application falls within the scope of protection of this application.

[0121] In the specific implementation process, the computer program 311 can be implemented when executed by the processor Figure 1 Any implementation manner in the corresponding embodiments.

[0122] It should be noted that, in the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant description of other embodiments.

[0123] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0124] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0125] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0126] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 The steps for the function specified in one or more boxes.

[0127] The present application also provides a computer program product, which includes computer software instructions. When the computer software instructions are executed on a processing device, the processing device is caused to execute the following Figure 1 The process of fan load optimization control in the corresponding embodiment.

[0128] A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center via a wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) method. The computer-readable storage medium can be any available medium that a computer can store or a data storage device such as a server or data center that includes one or more available media integrated. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid state drive (SSD)).

[0129] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0130] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of units is only 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 an indirect coupling or communication connection through some interface, device or unit, which can be electrical, mechanical or other forms.

[0131] Units described as separate components may or may not be physically separate, and 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.

[0132] 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.

[0133] 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, and the computer software product is stored in a storage medium, including a number of instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0134] 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 aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned 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 fan load optimization control method based on a load estimator, characterized in that: include: Establishing a fan simulation model, and generating a fan blade thrust curve through the fan simulation model; When the thrust curve of the fan blade is known, establishing an equivalent model of the load estimator of the fan aerodynamic system; Determining a wind turbine load safety threshold by using the load estimator equivalent model; Establish a wind turbine pitch control system model; Based on the wind turbine load safety threshold, the wind turbine load is adjusted by a wind turbine pitch control system.

2. The method according to claim 1, characterized in that The wind turbine simulation model is established, comprising: Under the fan output state, a fan simulation model is established in which the fan blades perform work on the load under the working conditions from the reactive state to the fully powered state.

3. The method according to claim 1, characterized in that Generating a fan blade thrust curve using the fan simulation model includes: A fan blade thrust curve is generated according to the thrust of the fan blades working on the load from the working condition of the fan in the reactive state to the working condition of the fan in the fully working state.

4. The method according to claim 1, wherein When the thrust curve of the fan blade is known, establishing a load estimator equivalent model of the fan aerodynamic system includes: Establish a blade load model caused by the fan blades according to the fan blade motion; A wind load model is established based on the load caused by the wind load acting on the wind turbine tower due to the movement of the wind turbine blades.

5. The method according to claim 1, wherein Determining the wind turbine load safety threshold by using the load estimator equivalent model includes: Obtain wind speed, wind rotor speed, generator speed and electromagnetic torque through lidar; The load safety threshold is calculated according to the wind speed, the wind wheel speed, the generator speed and the electromagnetic torque.

6. The method according to claim 1, wherein The establishment of a wind turbine pitch control system control model includes: When the power of the wind turbine generator set is constant in the pitch-variable area, the first-order Taylor expansion of the power, torque and speed of the wind turbine is performed to obtain the wind turbine pitch-variable system control model.

7. The method according to claim 1 or 5, characterized in that Based on the wind turbine load safety threshold, adjusting the wind turbine load by a wind turbine pitch control system includes: Comparing the load simulation value with the wind turbine load safety threshold to obtain an abnormal load value, wherein the abnormal load value includes a pitch angle difference and a speed difference of the wind turbine; The edge controller in the wind turbine pitch control system adjusts the pitch angle and the wind turbine speed according to the abnormal load value.

8. The method according to claim 6, characterized in that Based on the wind turbine load safety threshold, adjusting the wind turbine load by a wind turbine pitch control system includes: Superimposing the current pitch angle and the pitch angle difference to obtain a second pitch angle value; The current speed is superimposed on the speed difference to obtain a second speed value.

9. The method according to claim 8, characterized in that The method further comprises: The electromagnetic torque of the generator is determined according to the rated speed of the low-speed shaft of the fan, the rated power of the fan and the speed ratio of the gearbox; The aerodynamic torque is determined based on the rated speed of the fan low-speed shaft and the rated power of the fan.

10. The method according to claim 8, characterized in that The method further comprises: The wind turbine pitch controller is determined by changing the pitch angle gain.

11. A wind turbine load optimization control system based on a load estimator, characterized in that: include: A thrust curve unit is used to establish a fan simulation model and generate a fan blade thrust curve through the fan simulation model; a load estimation unit, configured to establish a load estimator equivalent model of the fan aerodynamic system when the thrust curve of the fan blade is known; A safety threshold unit, configured to determine a wind turbine load safety threshold by using the load estimator equivalent model; Pitch system unit, used to establish a wind turbine pitch system control model; A load adjustment unit is used to adjust the wind turbine load through a wind turbine pitch control system based on the wind turbine load safety threshold.

12. An electronic device, characterized in that: include: a memory, a processor, and a computer program stored on the memory and executable on the processor; When the processor executes the computer program, the steps of the wind turbine load optimization control method based on the load estimator according to any one of claims 1 to 10 are implemented.

13. A computer-readable storage medium, characterized in that A computer program is stored, and when the computer program is executed by a processor, the steps of the wind turbine load optimization control method based on the load estimator according to any one of claims 1 to 10 are implemented.

Images