Wind turbine control method and related products based on wind speed fluctuation characteristics

Abstract

The present invention provides a fan control method and related products based on the wind speed fluctuation characteristics, which can at least partially solve the problem that the existing methods cannot accurately change the fan control strategy according to the local wind speed characteristics. The fan control method based on the wind speed fluctuation characteristics of the present invention includes: determining the wind speed processing averaging parameter; continuously measuring the average wind speed value, the total number of wind speed fluctuations, the fluctuation amplitude and the fluctuation duration of each wind speed fluctuation within a certain time period as a unit; classifying the wind speed fluctuations according to the preset fluctuation amplitude threshold and the fluctuation duration threshold; statistically calculating the volatility of each type of wind speed fluctuation according to the number of each type of wind speed fluctuation and the total number of wind speed fluctuations, and obtaining the dominant wind speed fluctuation within a certain time period; determining whether to perform torque control or pitch control on the fan according to the relationship between the average wind speed value and the rated wind speed, and adopting corresponding control strategies for the torque control or the pitch control based on the dominant wind speed fluctuation.

Description

Technical Field

[0001] The present invention belongs to the technical field of wind power generation, and particularly relates to a fan control method and related products based on wind speed fluctuation characteristics. Background Art

[0002] The energy source of a wind turbine is wind. The local wind resource of the unit is the "fuel" required for the unit to generate electricity, and it is the most important factor affecting the power generation efficiency and performance of the wind turbine. Short-term wind speed fluctuations have important impacts on the energy capture of the wind turbine, the fan control strategy, and the fatigue life of the fan.

[0003] Currently, the identification of the wind speed characteristics of the wind farm by wind turbines, especially the identification of the characteristics of individual units, only stays at the judgment of turbulence intensity. Only the turbulence intensity of the local fan is identified, and the turbulence intensity statistics are made. Moreover, the turbulence intensity statistics are only used as a reference for the analysis of the wind resources of the fan, and do not substantially participate in the improvement of the fan control strategy. It is impossible to perform targeted control according to the local wind speed characteristics, and it cannot adapt to the reality of all wind conditions, often resulting in problems such as loss of power generation efficiency of the unit, over-standard load of the unit, and even forced extension of the shutdown time. Therefore, there is currently no effective method for identifying wind speed fluctuation characteristics, and there is no technical solution for changing the fan control strategy according to the local wind speed characteristics to improve the comprehensive control ability of the fan. Summary of the Invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art, and provides a fan control method and related products based on wind speed fluctuation characteristics.

[0005] One aspect of the present invention provides a fan control method based on wind speed fluctuation characteristics, including:

[0006] Determine the wind speed processing averaging parameter according to the transfer function relationship between the rotation of the fan rotor and the change of wind speed;

[0007] Based on the wind speed processing averaging parameter, continuously measure the average wind speed value, the total number of wind speed fluctuations, the fluctuation amplitude of each wind speed fluctuation, and the fluctuation duration of each wind speed fluctuation within each time period in units of a certain time period;

[0008] Classify the wind speed fluctuations within the certain time period according to the preset fluctuation amplitude threshold and fluctuation duration threshold;

[0009] Statistically calculate the volatility of each type of wind speed fluctuation according to the number of each type of wind speed fluctuation within the certain time period and the total number of wind speed fluctuations, and obtain the dominant wind speed fluctuation within the certain time period by comparing the volatilities of each type of wind speed fluctuation;

[0010] Determine torque control or pitch control for the wind turbine according to the relationship between the average wind speed value and the rated wind speed, and adopt corresponding control strategies for the torque control or the pitch control based on the dominant wind speed fluctuations within the certain time period.

[0011] Optionally, processing the averaging parameter based on the wind speed, and continuously measuring the average wind speed value, the total number of wind speed fluctuations, the fluctuation amplitude of each wind speed fluctuation, and the fluctuation duration of each wind speed fluctuation within each time period in units of a certain time period, including:

[0012] Record a complete process in which the wind speed continuously increases or continuously decreases as one wind speed fluctuation. Among them, when the wind speed continuously increases, it is recorded as a positive fluctuation, and when the wind speed continuously decreases, it is recorded as a negative fluctuation.

[0013] Optionally, classifying the wind speed fluctuations within the certain time period according to a preset fluctuation amplitude threshold and a preset fluctuation duration threshold, including

[0014] According to the preset fluctuation amplitude threshold and the preset fluctuation duration threshold, divide the wind speed fluctuations within the certain time period into: fine wind speed fluctuations with a fluctuation amplitude less than the fluctuation amplitude threshold and a fluctuation duration less than the fluctuation duration threshold, short-term gust fluctuations with a fluctuation amplitude greater than the fluctuation amplitude threshold and a fluctuation duration less than the fluctuation duration threshold, optimal power generation wind speed fluctuations with a fluctuation amplitude less than the fluctuation amplitude threshold and a fluctuation duration greater than the fluctuation duration threshold, and normal gust fluctuations with a fluctuation amplitude greater than the fluctuation amplitude threshold and a fluctuation duration greater than the fluctuation duration threshold.

[0015] Optionally, determining torque control or pitch control for the wind turbine according to the relationship between the average wind speed value and the rated wind speed, and adopting corresponding control strategies for the torque control or the pitch control based on the dominant wind speed fluctuations within the certain time period, including:

[0016] When the average wind speed value is less than or equal to the rated wind speed, torque control for the wind turbine is performed in the following manner: If the fine wind speed fluctuation is the dominant wind speed fluctuation, then adopt the optimal tip speed ratio control; if the short-term gust fluctuation is the dominant wind speed fluctuation, then adopt the inertial energy storage control; if the optimal power generation wind speed fluctuation or the normal gust fluctuation is the dominant wind speed fluctuation, then adopt the tip speed rapid tracking control.

[0017] Optionally, determining torque control or pitch control for the wind turbine according to the relationship between the average wind speed value and the rated wind speed, and adopting corresponding control strategies for the torque control or the pitch control based on the dominant wind speed fluctuations within the certain time period, including:

[0018] When the average wind speed value is greater than the rated wind speed, pitch control of the wind turbine is performed in the following manner: If the fine wind speed fluctuation or the optimal power generation wind speed fluctuation is the dominant wind speed fluctuation, normal variable gain control is adopted; if the normal gust fluctuation is the dominant wind speed fluctuation, gust variable gain control is adopted; if the short-term gust fluctuation is the dominant wind speed fluctuation, active load reduction variable gain control is adopted.

[0019] Another aspect of the present invention provides a wind turbine control system based on wind speed fluctuation characteristics, including:

[0020] An averaging parameter determination module for determining a wind speed processing averaging parameter according to the transfer function relationship between the rotation of the wind turbine rotor and the change in wind speed;

[0021] A measurement module for continuously measuring the average wind speed value, the total number of wind speed fluctuations, the fluctuation amplitude of each wind speed fluctuation, and the fluctuation duration of each wind speed fluctuation within each time period in units of a certain time period based on the wind speed processing averaging parameter;

[0022] A classification processing module for classifying the wind speed fluctuations within the certain time period according to a preset fluctuation amplitude threshold and a fluctuation duration threshold;

[0023] A statistical analysis module for statistically analyzing the volatility of various wind speed fluctuations based on the number of various wind speed fluctuations within the certain time period and the total number of wind speed fluctuations, and obtaining the dominant wind speed fluctuation within the certain time period by comparing the volatilities of various wind speed fluctuations;

[0024] A control module for determining torque control or pitch control of the wind turbine according to the relationship between the average wind speed value and the rated wind speed, and adopting corresponding control strategies for the torque control or the pitch control based on the dominant wind speed fluctuation within the certain time period.

[0025] Optionally, the separation processing module divides the wind speed fluctuations within the certain time period into: fine wind speed fluctuations with a fluctuation amplitude less than the fluctuation amplitude threshold and a fluctuation duration less than the fluctuation duration threshold, short-term gust fluctuations with a fluctuation amplitude greater than the fluctuation amplitude threshold and a fluctuation duration less than the fluctuation duration threshold, optimal power generation wind speed fluctuations with a fluctuation amplitude less than the fluctuation amplitude threshold and a fluctuation duration greater than the fluctuation duration threshold, and normal gust fluctuations with a fluctuation amplitude greater than the fluctuation amplitude threshold and a fluctuation duration greater than the fluctuation duration threshold according to a preset fluctuation amplitude threshold and a fluctuation duration threshold.

[0026] Optionally, when the average wind speed value is less than or equal to the rated wind speed, the control module controls the torque of the wind turbine in the following manner: If the fine wind speed fluctuation is the dominant wind speed fluctuation, optimal tip speed ratio control is adopted; if the short-term gust fluctuation is the dominant wind speed fluctuation, inertial energy storage control is adopted; if the optimal power generation wind speed fluctuation or the normal gust fluctuation is the dominant wind speed fluctuation, tip speed fast tracking control is adopted.

[0027] When the average wind speed value is greater than the rated wind speed, the control module controls the pitch of the wind turbine in the following manner: If the fine wind speed fluctuation or the optimal power generation wind speed fluctuation is the dominant wind speed fluctuation, normal variable gain control is adopted; if the normal gust fluctuation is the dominant wind speed fluctuation, gust variable gain control is adopted; if the short-term gust fluctuation is the dominant wind speed fluctuation, active load reduction variable gain control is adopted.

[0028] Another aspect of the present invention provides a wind turbine, comprising:

[0029] One or more processors;

[0030] A storage unit for storing one or more programs, which, when executed by the one or more processors, enable the one or more processors to implement the above-mentioned wind turbine control method based on wind speed fluctuation characteristics.

[0031] The present invention also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it can implement the above-mentioned wind turbine control method based on wind speed fluctuation characteristics.

[0032] The wind turbine control method and related products provided by the present invention are based on the wind speed fluctuation characteristic extraction algorithm collected by local units, and utilize the extracted real-time wind speed characteristics to guide the wind turbine to select the optimal control parameter combination, so as to improve the wind energy absorption rate of the wind speed and the overall control performance of the wind turbine. By classifying and processing the wind speed fluctuation characteristics in a certain period of time, the present invention can realize real-time guidance for the wind turbine controller to change the wind condition adaptation algorithm, so as to achieve the purpose of improving the comprehensive utilization rate of wind energy and the overall performance of the wind turbine.

[0033] The fan control method and related products based on the wind speed fluctuation characteristics of the present invention enable the wind turbine unit to have the ability of environment identification and self-environment adaptation, improve the power generation efficiency of the unit and increase the power generation of the unit; when the identified severe turbulent wind is detected, the unit selects a conservative control strategy to avoid the fan from shutting down, achieving the purpose of increasing the available hours of the unit, reducing the load of the unit, and increasing the service life of the unit; providing core reference information and core control decision inputs for the grouping of units and the overall control of the wind farm; realizing the reduction of the cost per kilowatt-hour of the wind turbine unit and the increase of the power generation, and improving the competitiveness of the wind power to achieve grid parity. Description of the Drawings

[0034] Figure 1 It is a schematic flow chart of a fan control method based on the wind speed fluctuation characteristics of the present invention;

[0035] Figure 2 It is a schematic block diagram of the composition of a fan control system based on the wind speed fluctuation characteristics of the present invention;

[0036] Figure 3 It is a schematic broken line diagram of the wind speed changing with time in a certain period of time in the embodiment of the present invention;

[0037] Figure 4 It is a schematic diagram of the wind speed fluctuation divided area of a fan control method based on the wind speed fluctuation characteristics of the present invention. Detailed Embodiment

[0038] To enable those skilled in the art to better understand the technical solution of the present invention, the present invention will be further described in detail below in conjunction with the drawings and specific embodiments.

[0039] As Figure 1 shown, the present invention proposes a fan control method based on the wind speed fluctuation characteristics, including:

[0040] Step S1: Determine the wind speed processing averaging parameter according to the transfer function relationship between the rotation of the fan rotor and the wind speed change;

[0041] According to an embodiment of the present invention, since the original wind speed collected by the wind turbine anemometer is chaotic information including various high-frequency interference signals, the wind speed needs to be filtered first. Calculating the average value of the same set of wind speed data for different time lengths, the obtained wind speed characteristic information can be applied to different uses. From the data processing results, it can be seen that the wind speed fluctuations at the 100 ms level are chaotic and irregular, mainly reflecting the high-frequency interference signals in the acquisition process. The wind direction data at the 1 s level reflects the irregular fluctuation characteristics of the wind speed. The 1 min average wind speed slightly reflects the fluctuation trend of the wind speed. The 10 min average wind speed can reflect the macroscopic change characteristics of the wind direction. Since the extraction of the wind speed characteristics of the present invention is used for the wind turbine power control algorithm, the data processing principle of selecting the average parameter of wind speed processing according to the transfer function relationship between the rotation of the wind turbine rotor and the wind speed change is adopted.

[0042] Specifically, according to the transfer function relationship between the motor rotation and the wind speed change of a specific wind turbine model, as shown in Equation 1:

[0043]

[0044] In the formula: Jsum is the total rotational inertia of the wind turbine drive system; ω 0 is the current motor speed; k opt is the controller torque control coefficient; C pmax is the power utilization coefficient; ρ is the air density; A is the swept area of the wind turbine rotor; υ 0 is the current wind speed.

[0045] Taking a certain 2 MW model as an example to illustrate the specific implementation case, the data of different models will be different, but will not cross the order of magnitude. According to this data model, the time constant of the transfer function between the motor rotation and the wind speed change is selected to be about 20 s. Therefore, preferably, when analyzing the wind speed data, select the parameter with a time scale faster than about 4 times the time constant of the transfer function. Therefore, the selected time scale is in the range of about the 5 s order of magnitude.

[0046] The general expression of wind speed processing is shown in Equation (2):

[0047]

[0048] Where: τ is the time constant of wind speed filtering, which is at the order of magnitude of 10 s.

[0049] Step S2: Based on the averaged wind speed processing parameter, continuously measure the average wind speed value, the total number of wind speed fluctuations, the fluctuation amplitude of each wind speed fluctuation, and the fluctuation duration of each wind speed fluctuation within each time period in units of a certain time period;

[0050] For the analysis process of wind speed changes, if the number of wind speed changes in a certain time period is small and the amplitude of each change is small, the wind speed in this time period is stable; conversely, if the number of wind speed changes in a certain time period is large and the amplitude of each change is large, the wind speed in this time period is unstable. For the quantitative analysis of a single wind speed fluctuation, it can be examined from two aspects: the amplitude of the wind speed change and the duration. According to the embodiments of the present invention, a complete process in which the wind speed continuously increases or continuously decreases during the wind speed fluctuation process is recorded as one wind speed fluctuation. When the wind speed continuously increases, it is recorded as a positive fluctuation, and when the wind speed continuously decreases, it is recorded as a negative fluctuation. The sum of the number of positive fluctuations and the number of negative fluctuations of the wind speed in a certain time period is recorded as the total number of fluctuations M. Take Figure 3 For example, in the wind speed fluctuation process shown in FIG. 1 with a time period of 40 s, the fluctuation process circled by the left box is a positive fluctuation, and its wind speed fluctuation amplitude A is approximately 3 m / s, and the fluctuation duration T is approximately 4 s; the fluctuation process circled by the right box is a negative fluctuation, and its wind speed fluctuation amplitude A is approximately 5 m / s, and the fluctuation duration T is approximately 10 s. By statistically analyzing the number of wind speed fluctuations and the two parameters of the fluctuation amplitude and the fluctuation duration of each wind speed fluctuation in a certain time period, the fluctuation law of the local wind speed of the wind turbine in the current time period can be obtained.

[0051] Taking the control rules followed by a 2 MW wind turbine during low wind speed startup and shutdown as an example, the low wind speed cut-in wind speed of the unit is 3.0 m / s, the low wind speed cut-out wind speed is 2.8 m / s, and the high wind speed cut-out wind speed is 20 m / s. When the unit detects that the current 10-minute average wind speed value reaches the set startup wind speed value (i.e., the low wind speed cut-in wind speed), the unit will start running; if it detects that the current 10-minute average wind speed value is lower than the set shutdown wind speed value (i.e., the low wind speed cut-out wind speed), the unit will enter the standby state. Therefore, when the wind speed does not meet the requirements of the unit operation, it is meaningless to count the wind speed indicators during this period. When performing wind speed fluctuation statistics, the following points need to be noted:

[0052] 1) If the wind turbine is in the shutdown state, the fluctuation statistics will only start when the 10-minute average wind speed in the previous 10 minutes of the i-th second is greater than the low wind speed cut-in wind speed and the wind turbine starts.

[0053] 2) If the wind turbine is in the running state, when the 10-minute average wind speed in the previous 10 minutes of the i-th second is less than the cut-out wind speed, at this time the wind turbine enters the shutdown state and no fluctuation statistics are performed.

[0054] 3) Let the total number of a set of data be N, and the i-th second-level data is denoted as S i , 1 ≤ i ≤ N, where S i is the wind speed value at the i-th second. The formula for calculating the average wind speed in the previous 10 minutes of the i-th second is:

[0055]

[0056] Step S3: Classify the wind speed fluctuations within the certain time period according to a preset fluctuation amplitude threshold and a preset fluctuation duration threshold;

[0057] According to an embodiment of the present invention, based on a preset wind speed fluctuation amplitude threshold EA and a preset wind speed fluctuation duration threshold ET, M wind speed fluctuations can be divided into 4 regions, as Figure 4 shown. The 4 types of wind speed fluctuations are specifically: fine wind speed fluctuations with a fluctuation amplitude less than the fluctuation amplitude threshold and a fluctuation duration less than the fluctuation duration threshold, such as Figure 4 A1 shown in; short-term gust fluctuations with a fluctuation amplitude greater than the fluctuation amplitude threshold and a fluctuation duration less than the fluctuation duration threshold, such as Figure 4 A2 shown in; optimal power generation wind speed fluctuations with a fluctuation amplitude less than the fluctuation amplitude threshold and a fluctuation duration greater than the fluctuation duration threshold, such as Figure 4 B1 shown in; normal gust fluctuations with a fluctuation amplitude greater than the fluctuation amplitude threshold and a fluctuation duration greater than the fluctuation duration threshold, such as Figure 4 B2 shown in.

[0058] Step S4: Calculate the volatility of each type of wind speed fluctuation based on the number of times of each type of wind speed fluctuation within the certain time period and the total number of wind speed fluctuations, and obtain the dominant wind speed fluctuation within the certain time period by comparing the volatilities of each type of wind speed fluctuation;

[0059] According to an embodiment of the present invention, the indicators for measuring the characteristics of wind speed fluctuations may include:

[0060] 1) Total wind speed volatility W: That is, the ratio of the total number of wind direction fluctuations M to the number of wind direction sequence N. The smaller W is, the higher the wind direction stability:

[0061]

[0062] 2) Fine wind speed volatility P A1 : Figure 4 The percentage of wind speed fluctuations within the A1 region in, P A1 The larger it is, the more frequent and fragmented wind direction fluctuations there are within this time period:

[0063]

[0064] In the formula, N A1 is the number of fluctuations within the Figure 4 region A1 in.

[0065] 3) Short-term gust volatility P A2 : Figure 4The percentage of wind speed fluctuation in area A2, P A2 It reflects the short-term and drastic change of wind speed and is the main wind condition for the vibration fault of the fan. If this volatility is too high, the fan needs to adopt conservative operation measures. To ensure the safety of the unit, some power generation can be sacrificed:

[0066]

[0067] In the formula, N A2 is the number of fluctuations in area A2 located in Figure 4

[0068] 4) Optimal power generation wind speed volatility P B1 : Figure 4 The percentage of wind speed fluctuation in area B1 in B1 . The wind speed in this area is stable within a certain speed range for a long time. The larger P

[0069]

[0070] In the formula, N B1 is the number of fluctuations in area B1 located in Figure 4

[0071] 5) Normal gust volatility P B2 : Figure 4 The percentage of wind speed fluctuation in area B2 in

[0072]

[0073] In the formula, N B2 is the number of fluctuations in area B2 located in Figure 4

[0074] By comparing P A1 , P A2 , P B1 , P B2 , the dominant wind speed fluctuation in this time period is obtained.

[0075] ​​​Step S5: Determine whether to perform torque control or pitch control on the wind turbine according to the relationship between the average wind speed value and the rated wind speed, and adopt corresponding control strategies for the torque control or the pitch control based on the dominant wind speed fluctuations within a certain period of time.

[0076] By comparing the volatility of various wind speed fluctuations within a certain period of time, the wind speed characteristics of an in-situ unit or a group of units in an appropriate area near the in-situ unit within a period of time can be obtained. According to the identified wind speed characteristics exceeding the preset threshold and the current wind speed value range, the control algorithms used by the unit or the relevant unit group nearby are subdivided.

[0077] The wind turbine performs torque control and pitch control with the rated wind speed as the boundary. Torque control is performed below the rated wind speed to maximize the absorption of wind energy; pitch control is performed above the rated wind speed to ensure that the wind energy generates electricity smoothly at the rated wind speed and to ensure the safety of the unit load at the same time. Under the same average wind speed condition, the greater the wind speed volatility, the higher the wind energy content. Different wind turbine control algorithms have advantages in a certain control target value, but will lose the control performance in other aspects. Generally speaking, the wind turbine control is a balance of various control targets.

[0078] According to an embodiment of the present invention, when the average wind speed value is less than or equal to the rated wind speed, the following method is used to perform torque control on the wind turbine:

[0079] If the fine wind speed fluctuation is the dominant wind speed fluctuation, the optimal tip speed ratio control (normal optimal K opt torque control algorithm) is adopted. The optimal tip speed ratio control algorithm is widely used in wind turbines and performs mediocrely, suitable for Figure 4 the wind conditions in area A1;

[0080] If the short-term gust fluctuation is the dominant wind speed fluctuation, the inertial energy storage control (inertial energy storage optimal K opt torque control algorithm) is adopted. The inertial energy storage control strengthens the smoothness of the output power and the mitigation of the drive train load, and is suitable for Figure 4 the wind conditions in area A2, but will lose the following effect and cause a reduction in power generation;

[0081] If the optimal power generation wind speed fluctuation or the normal gust fluctuation is the dominant wind speed fluctuation, the tip speed rapid tracking control (tip speed rapid tracking optimal K opt torque control algorithm) is adopted. The tip speed rapid tracking control strengthens the tip speed ratio tracking and enhances the following ability, and is suitable for Figure 4 areas B1 and B2 nearby. It can significantly increase power generation, especially suitable for the wind conditions in area B2, but will increase the fluctuation of the electrical energy output. If it is used for Figure 4If the wind conditions in area A2 are such, it will cause power output oscillation and pose a hazard to the drivetrain components.

[0082] When the average wind speed value is greater than the rated wind speed, the following method is used for pitch control of the wind turbine:

[0083] If the fine wind speed fluctuation or the optimal power generation wind speed fluctuation is the dominant wind speed fluctuation, normal variable gain control (normal variable gain PI pitch control algorithm) is adopted. Normal variable gain control is widely used in wind turbine generators and performs moderately. It is suitable for Figure 4 the wind conditions in areas A1 and B1;

[0084] If the normal gust fluctuation is the dominant wind speed fluctuation, gust variable gain control (gust control variable gain PI pitch control algorithm) is adopted. Gust variable gain control strengthens rapid pitch adjustment, which is beneficial for overspeed control. It is suitable for Figure 4 the wind conditions in area B2, but it will cause power fluctuations and prevent the power from being well stabilized at the maximum power;

[0085] If the short-term gust fluctuation is the dominant wind speed fluctuation, active load reduction variable gain control (active load reduction variable gain PI pitch control algorithm) is adopted. Active load reduction variable gain control strengthens the load protection of the unit, protecting the wind turbine load from exceeding the standard at the cost of power generation loss, but it will cause a large power loss. Generally speaking, this control algorithm enables the wind turbine to operate under wind conditions where it should be shut down. In fact, it improves power generation, but the application premise is the ability to identify wind conditions. This algorithm is suitable for Figure 4 the wind conditions in area A2.

[0086] As Figure 2 shown, the present invention also proposes a wind turbine control system based on the wind speed fluctuation characteristics, including:

[0087] An averaging parameter determination module 1, configured to determine the wind speed processing averaging parameter according to the transfer function relationship between the rotation of the wind turbine rotor and the wind speed change;

[0088] A measurement module 2, configured to continuously measure the average wind speed value, the total number of wind speed fluctuations, the fluctuation amplitude of each wind speed fluctuation, and the fluctuation duration of each wind speed fluctuation within each time period in units of a certain time period based on the wind speed processing averaging parameter;

[0089] A classification processing module 3, configured to classify and process the wind speed fluctuations within the certain time period according to a preset fluctuation amplitude threshold and a fluctuation duration threshold;

[0090] Statistical analysis module 4, used to calculate the fluctuation rate of each type of wind speed fluctuation according to the number of each type of wind speed fluctuation within the certain time period and the total number of wind speed fluctuations, and obtain the dominant wind speed fluctuation within the certain time period by comparing the fluctuation rates of each type of wind speed fluctuation;

[0091] The control module 5 is used to determine torque control or pitch control of the wind turbine according to the relationship between the average wind speed value and the rated wind speed, and adopt a corresponding control strategy for the torque control or the pitch control based on the prevailing wind speed fluctuation within the certain time period.

[0092] According to an embodiment of the present invention, when the average wind speed value is less than or equal to the rated wind speed, the control module performs torque control on the wind turbine in the following manner: if the slight wind speed fluctuation is the dominant wind speed fluctuation, the optimal tip speed ratio control is adopted; if the short-term gust fluctuation is the dominant wind speed fluctuation, the inertial energy storage control is adopted; if the optimal power generation wind speed fluctuation or the normal gust fluctuation is the dominant wind speed fluctuation, the tip speed fast tracking control is adopted;

[0093] When the average wind speed value is greater than the rated wind speed, the control module performs variable pitch control on the wind turbine in the following manner: if the slight wind speed fluctuation or the optimal power generation wind speed fluctuation is the dominant wind speed fluctuation, normal variable gain control is adopted; if the normal gust fluctuation is the dominant wind speed fluctuation, gust variable gain control is adopted; if the short-term gust fluctuation is the dominant wind speed fluctuation, active load reduction variable gain control is adopted.

[0094] The present invention also provides a wind turbine generator set, comprising:

[0095] one or more processors;

[0096] A storage unit is used to store one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors can implement the above-mentioned wind turbine control method based on wind speed fluctuation characteristics.

[0097] It should be noted that the wind turbine control method based on wind speed fluctuation characteristics of the present invention can be run in the PLC of a single wind turbine unit to achieve the control tasks of the above-mentioned wind speed fluctuation characteristics identification and control mode switching. At the same time, as an extended application, the wind turbine control method based on wind speed fluctuation characteristics of the present invention can be applicable to the site control of multiple wind turbine units in a wind farm. A practical situation is that a group of wind turbines with similar geographical locations and terrain features near the same unit in a wind farm often have similar wind speed characteristics in the same time period. The wind turbine control method based on wind speed fluctuation characteristics of the present invention can be run in a computer in the entire field controller, and multiple wind turbine units with similar geographical locations can be controlled by identifying the wind speed characteristics of a wind turbine unit.

[0098] In addition, the present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned fan control method based on the wind speed fluctuation characteristics can be implemented.

[0099] Among them, the computer-readable medium can be included in the device, equipment, and system of the present invention, or can exist independently.

[0100] Among them, the computer-readable storage medium can be any tangible medium that contains or stores a program. It can be an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment. More specific examples include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, an optical fiber, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof.

[0101] Among them, the computer-readable storage medium can also include data signals propagated in a baseband or as part of a carrier wave, on which computer-readable program codes are carried. Specific examples include, but are not limited to, electromagnetic signals, optical signals, or any suitable combination thereof.

[0102] It can be understood that the above embodiments are merely exemplary embodiments adopted to illustrate the principle of the present invention. However, the present invention is not limited thereto. For those of ordinary skill in the art, various modifications and improvements can be made without departing from the spirit and essence of the present invention, and these modifications and improvements are also regarded as the protection scope of the present invention.

Claims

1. A wind turbine control method based on the wind speed fluctuation characteristics, characterized in that, it includes: Determine the wind speed processing averaging parameter according to the transfer function relationship between the rotation of the wind turbine rotor and the wind speed change; Based on the wind speed processing averaging parameter, continuously measure the average wind speed value, the total number of wind speed fluctuations, the fluctuation amplitude of each wind speed fluctuation, and the fluctuation duration of each wind speed fluctuation within each time period with a certain time period as a unit; Classify the wind speed fluctuations within the certain time period according to the preset fluctuation amplitude threshold and fluctuation duration threshold; Statistically analyze the volatility of each type of wind speed fluctuation according to the number of each type of wind speed fluctuation within the certain time period and the total number of wind speed fluctuations, and obtain the dominant wind speed fluctuation within the certain time period by comparing the volatilities of each type of wind speed fluctuation; Determine whether to perform torque control or pitch control on the wind turbine according to the relationship between the average wind speed value and the rated wind speed, and adopt corresponding control strategies for the torque control or the pitch control based on the dominant wind speed fluctuation within the certain time period.

2. The wind turbine control method based on the wind speed fluctuation characteristics according to claim 1, characterized in that, the continuously measuring the average wind speed value, the total number of wind speed fluctuations, the fluctuation amplitude of each wind speed fluctuation, and the fluctuation duration of each wind speed fluctuation within each time period with a certain time period as a unit based on the wind speed processing averaging parameter includes: Record a complete process of continuous increase or continuous decrease of the wind speed as one wind speed fluctuation, where a continuous increase in the wind speed is recorded as a positive fluctuation and a continuous decrease in the wind speed is recorded as a negative fluctuation.

3. The wind turbine control method based on the wind speed fluctuation characteristics according to claim 1, characterized in that, the classifying the wind speed fluctuations within the certain time period according to the preset fluctuation amplitude threshold and fluctuation duration threshold includes Dividing the wind speed fluctuations within the certain time period into: fine wind speed fluctuations with a fluctuation amplitude less than the fluctuation amplitude threshold and a fluctuation duration less than the fluctuation duration threshold, short-term gust fluctuations with a fluctuation amplitude greater than the fluctuation amplitude threshold and a fluctuation duration less than the fluctuation duration threshold, optimal power generation wind speed fluctuations with a fluctuation amplitude less than the fluctuation amplitude threshold and a fluctuation duration greater than the fluctuation duration threshold, and normal gust fluctuations with a fluctuation amplitude greater than the fluctuation amplitude threshold and a fluctuation duration greater than the fluctuation duration threshold according to the preset fluctuation amplitude threshold and fluctuation duration threshold.

4. The wind turbine control method based on the wind speed fluctuation characteristics according to claim 3, characterized in that, the determining whether to perform torque control or pitch control on the wind turbine according to the relationship between the average wind speed value and the rated wind speed, and adopting corresponding control strategies for the torque control or the pitch control based on the dominant wind speed fluctuation within the certain time period includes: When the average wind speed value is less than or equal to the rated wind speed, the following method is used to control the torque of the wind turbine: If the fine wind speed fluctuation is the dominant wind speed fluctuation, the optimal tip speed ratio control is adopted; if the short-term gust fluctuation is the dominant wind speed fluctuation, the inertial energy storage control is adopted; if the optimal power generation wind speed fluctuation or the normal gust fluctuation is the dominant wind speed fluctuation, the tip speed fast tracking control is adopted.

5. The wind turbine control method based on wind speed fluctuation characteristics according to claim 3, characterized in that determining torque control or pitch control for the wind turbine according to the relationship between the average wind speed value and the rated wind speed, and adopting corresponding control strategies for the torque control or the pitch control based on the dominant wind speed fluctuation within a certain period of time, including: When the average wind speed value is greater than the rated wind speed, the following method is used to control the pitch of the wind turbine: If the fine wind speed fluctuation or the optimal power generation wind speed fluctuation is the dominant wind speed fluctuation, the normal variable gain control is adopted; if the normal gust fluctuation is the dominant wind speed fluctuation, the gust variable gain control is adopted; if the short-term gust fluctuation is the dominant wind speed fluctuation, the active load reduction variable gain control is adopted.

6. A wind turbine control system based on wind speed fluctuation characteristics, characterized in that comprising: an averaging parameter determination module for determining a wind speed processing averaging parameter according to the transfer function relationship between the rotation of the wind turbine rotor and the wind speed change; a measurement module for continuously measuring the average wind speed value, the total number of wind speed fluctuations, the fluctuation amplitude of each wind speed fluctuation, and the fluctuation duration of each wind speed fluctuation within each time period in units of a certain time period based on the wind speed processing averaging parameter; a classification processing module for classifying the wind speed fluctuations within a certain time period according to a preset fluctuation amplitude threshold and a fluctuation duration threshold; a statistical analysis module for statistically analyzing the volatility of various wind speed fluctuations within a certain time period according to the number of various wind speed fluctuations within a certain time period and the total number of wind speed fluctuations, and obtaining the dominant wind speed fluctuation within a certain time period by comparing the volatilities of various wind speed fluctuations; a control module for determining torque control or pitch control for the wind turbine according to the relationship between the average wind speed value and the rated wind speed, and adopting corresponding control strategies for the torque control or the pitch control based on the dominant wind speed fluctuation within a certain time period.

7. The wind turbine control system based on wind speed fluctuation characteristics according to claim 6, characterized in that the classification processing module divides the wind speed fluctuations within a certain time period into: fine wind speed fluctuations with a fluctuation amplitude less than the fluctuation amplitude threshold and a fluctuation duration less than the fluctuation duration threshold, short-term gust fluctuations with a fluctuation amplitude greater than the fluctuation amplitude threshold and a fluctuation duration less than the fluctuation duration threshold, optimal power generation wind speed fluctuations with a fluctuation amplitude less than the fluctuation amplitude threshold and a fluctuation duration greater than the fluctuation duration threshold, and normal gust fluctuations with a fluctuation amplitude greater than the fluctuation amplitude threshold and a fluctuation duration greater than the fluctuation duration threshold.

8. The wind turbine control system based on the wind speed fluctuation characteristics according to claim 7, wherein, when the average wind speed value is less than or equal to the rated wind speed, the control module controls the torque of the wind turbine in the following manner: if the gentle wind speed fluctuation is the dominant wind speed fluctuation, optimal tip speed ratio control is adopted; if the short-term gust fluctuation is the dominant wind speed fluctuation, inertial energy storage control is adopted; if the optimal power generation wind speed fluctuation or the normal gust fluctuation is the dominant wind speed fluctuation, tip speed fast tracking control is adopted; when the average wind speed value is greater than the rated wind speed, the control module controls the pitch of the wind turbine in the following manner: if the gentle wind speed fluctuation or the optimal power generation wind speed fluctuation is the dominant wind speed fluctuation, normal variable gain control is adopted; if the normal gust fluctuation is the dominant wind speed fluctuation, gust variable gain control is adopted; if the short-term gust fluctuation is the dominant wind speed fluctuation, active load reduction variable gain control is adopted.

9. A wind turbine unit, wherein, it includes: one or more processors; a storage unit for storing one or more programs, which when executed by the one or more processors, enable the one or more processors to implement the wind turbine control method based on the wind speed fluctuation characteristics according to any one of claims 1 to 5.

10. A computer-readable storage medium, on which a computer program is stored, wherein, the computer program, when executed by a processor, can implement the wind turbine control method based on the wind speed fluctuation characteristics according to any one of claims 1 to 5.

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