Wind power generation control method, device, equipment and computer readable storage medium

Abstract

The application discloses a wind power generation control method and device, equipment and a computer readable storage medium, and relates to the technical field of wind power generation. The current environment information is obtained, the current environment information includes wind direction offset, wind shear change rate and turbulence intensity; the power generation risk index is determined according to the wind direction offset, the wind shear change rate and the turbulence intensity; in the case that the power generation risk index is a preset normal index, power generation control is performed according to the power generation risk index and a preset coordinated control strategy, the coordinated control strategy is based on external environmental parameters or internal performance parameters of the wind power generation control equipment, and at least one of the rotating speed and the torque of the wind power generation control equipment is controlled; in the case that the power generation risk index is a preset early warning index, power generation control is performed based on a preset conservative control strategy, the conservative control strategy is based on a preset fixed control parameter, and the parameters of the wind power generation control equipment are controlled for power generation control, thereby improving the effect of wind power generation control.

Description

Technical Field

[0001] This application relates to the field of wind power generation technology, and in particular to a wind power generation control method, apparatus, equipment and computer-readable storage medium. Background Technology

[0002] With the increasing popularity of wind power generation, users have also put forward higher requirements for the wind power generation control methods of wind turbines.

[0003] Traditional wind power generation control methods take into account the rotational speed of the turbine blades and control the speed to ensure the turbine operates in the required mode, such as maximum power point tracking. This method has significant drawbacks, as it relies solely on its own defined parameters (such as rotational speed and defined operating mode) for control, resulting in poor wind power generation control performance.

[0004] The above content is only used to help understand the technical solution of this application and does not represent an admission that the above content is prior art. Summary of the Invention

[0005] The main objective of this application is to provide a wind power generation control method, apparatus, equipment, and computer-readable storage medium, aiming to solve the technical problem of poor wind power generation control performance.

[0006] To achieve the above objectives, this application proposes a wind power generation control method, which includes:

[0007] Obtain current environmental information, including wind direction shift, wind shear rate of change, and turbulence intensity;

[0008] The power generation risk index is determined based on the wind direction offset, the wind shear rate of change, and the turbulence intensity.

[0009] When the power generation risk index is a preset normal index, power generation control is performed according to the power generation risk index and a preset coordinated control strategy. The coordinated control strategy controls power generation based on at least one of the speed and torque of the wind power generation control equipment, according to the external environmental parameters or internal performance parameters of the wind power generation control equipment.

[0010] When the power generation risk index is a preset early warning index, power generation control is performed based on a preset conservative control strategy. The conservative control strategy controls the parameters of the wind power generation control equipment according to preset fixed control parameters.

[0011] In one embodiment, the step of determining the power generation risk index based on the wind direction offset, the wind shear rate of change, and the turbulence intensity includes:

[0012] The absolute value of the wind direction offset is compared with a preset deviation angle to obtain a first proportional parameter. The wind shear change rate is compared with a preset change rate to obtain a second proportional parameter. The turbulence intensity is compared with a preset percentage to obtain a third proportional parameter. The first proportional parameter, the second proportional parameter, and the third proportional parameter are weighted and summed to obtain a risk result value.

[0013] If the risk result value is greater than a preset threshold, the power generation risk index is determined as a preset early warning index, wherein the preset early warning index represents an early warning indicator that there is a power generation risk in the wind power generation process of the wind power generation control equipment;

[0014] If the risk result value is less than or equal to a preset threshold, the power generation risk index is determined to be a preset normal index, wherein the preset normal index represents an indicator that the wind power generation process of the wind power generation control equipment has no power generation risk.

[0015] In one embodiment, when the power generation risk index is a preset normal index, after the step of determining the power generation risk index based on the wind direction offset, the wind shear rate of change, and the turbulence intensity, the method includes:

[0016] When the turbulence intensity is the first turbulence intensity and the wind shear rate of change is within the first rate of change range, the power generation risk index is determined to be a low-risk first power generation risk index.

[0017] When the turbulence intensity is the second turbulence intensity and the wind shear rate of change is within the second rate of change range, the power generation risk index is determined to be a medium-risk second power generation risk index.

[0018] When the turbulence intensity is the third turbulence intensity and the wind shear rate of change is within the third rate of change range, the power generation risk index is determined to be a high-risk third power generation risk index, wherein the third turbulence intensity is greater than the second turbulence intensity, the second turbulence intensity is greater than the first turbulence intensity, the third rate of change range is greater than the second rate of change range, the second rate of change range is greater than the first rate of change range, and the first rate of change range, the second rate of change range, and the third rate of change range are all mutually exclusive.

[0019] In one embodiment, when the power generation risk index is a low-risk first power generation risk index, the external environmental parameters include the current wind speed and the current surface roughness. The step of controlling power generation based on the power generation risk index and a preset coordinated control strategy includes:

[0020] The current wind speed is updated based on the current surface roughness to obtain a corrected wind speed value;

[0021] The wind speed correspondence table in the coordinated control strategy determines the first target torque corresponding to the corrected wind speed value, and the torque of the wind power generation control equipment is adjusted to match the first target torque.

[0022] In one embodiment, when the power generation risk index is a medium-risk second power generation risk index, the external environmental parameters include the current yaw speed and the wind direction offset. The step of performing power generation control based on the power generation risk index and a preset coordinated control strategy includes:

[0023] The compensation yaw speed is determined based on the current yaw speed and the wind direction offset.

[0024] The yaw speed correspondence table in the coordinated control strategy determines the generator speed corresponding to the compensated yaw speed, and the speed of the wind power generation control equipment is adjusted to match the generator speed.

[0025] In one embodiment, when the power generation risk index is a high-risk third power generation risk index, the internal performance parameters include engine speed and current torque command value. The step of performing power generation control based on the power generation risk index and a preset coordinated control strategy includes:

[0026] The corrected torque value is determined based on the engine speed and the current torque command value;

[0027] The torque correspondence table in the coordinated control strategy determines the second target torque corresponding to the corrected torque value, and the torque of the wind power generation control equipment is adjusted to match the second target torque.

[0028] In one embodiment, prior to the step of controlling power generation based on the power generation risk index and a preset coordinated control strategy, the wind power generation control method further includes:

[0029] When the turbulence intensity and the wind shear rate of change are mismatched, a target range of the wind shear rate of change is determined. The mismatch between the turbulence intensity and the wind shear rate of change includes the following: when the turbulence intensity is a first turbulence intensity, the wind shear rate of change is outside the first range; or when the turbulence intensity is a second turbulence intensity, the wind shear rate of change is outside the second range; or when the turbulence intensity is a third turbulence intensity, the wind shear rate of change is outside the third range.

[0030] The target pitch angle corresponding to the target rate of change range is determined in the preset pitch angle correspondence table, wherein the target pitch angle is used to control the pitch angle of the wind power generation control equipment.

[0031] The wind power generation control equipment is subjected to pitch angle control based on the target pitch angle, and the wind power generation control equipment after pitch angle control is subjected to the step of power generation control based on the power generation risk index and the preset coordinated control strategy.

[0032] Furthermore, to achieve the above objectives, this application also proposes a wind power generation control device, which includes:

[0033] An environment acquisition module is used to acquire current environmental information, including wind direction offset, wind shear rate of change, and turbulence intensity.

[0034] The risk determination module is used to determine the power generation risk index based on the wind direction offset, the wind shear rate of change, and the turbulence intensity.

[0035] The first control module is used to control power generation according to the power generation risk index and a preset coordinated control strategy when the power generation risk index is a preset normal index. The coordinated control strategy controls power generation based on at least one of the speed and torque of the wind power generation control equipment according to the external environmental parameters or internal performance parameters of the wind power generation control equipment.

[0036] The second control module is used to control power generation based on a preset conservative control strategy when the power generation risk index is a preset early warning index. The conservative control strategy controls the parameters of the wind power generation control equipment according to preset fixed control parameters.

[0037] In addition, to achieve the above objectives, this application also proposes a wind power generation control device, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the wind power generation control method as described above.

[0038] In addition, to achieve the above objectives, this application also proposes a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the wind power generation control method described above.

[0039] This application provides a wind power generation control method. It acquires current environmental information, including wind direction offset, wind shear rate of change, and turbulence intensity. A power generation risk index is determined based on these parameters. If the power generation risk index is a preset normal index, power generation control is performed based on the power generation risk index and a preset coordinated control strategy. The coordinated control strategy controls at least one of the wind power generation control equipment's speed and torque based on external environmental parameters or internal performance parameters. If the power generation risk index is a preset warning index, power generation control is performed based on a preset conservative control strategy. This conservative control strategy controls the parameters of the wind power generation control equipment based on preset fixed control parameters. This wind power generation control method acquires wind direction offset, wind shear rate of change, and turbulence intensity, and then combines these parameters to determine the wind power generation risk index. A power generation risk index is established, and different controls are implemented based on the power generation risk index determined by three types of environmental information. Specifically, when the power generation risk index is a preset early warning index, power generation control is carried out based on a preset conservative control strategy. The coordinated control strategy controls power generation based on at least one of the speed and torque of the wind power generation control equipment according to the external environmental parameters or internal performance parameters of the wind power generation control equipment. When the power generation risk index is a preset normal index, power generation control is carried out according to the power generation risk index and the preset coordinated control strategy. The conservative control strategy controls power generation based on preset fixed control parameters, thereby avoiding the problem of controlling solely based on its own defined parameters (such as its own speed and defined operating mode). Furthermore, by combining external environmental information such as wind direction offset, wind shear rate of change, and turbulence intensity, power generation control can be achieved, that is, the impact of the environment on power generation is taken into account in power generation control, thereby improving the effectiveness of wind power generation control. Attached Figure Description

[0040] Figure 1 This is a flowchart illustrating the first embodiment of the wind power generation control method of this application;

[0041] Figure 2 This is a schematic diagram illustrating the implementation process of the wind power generation control method of this application;

[0042] Figure 3 This is a flowchart illustrating the second embodiment of the wind power generation control method of this application;

[0043] Figure 4 This is a schematic diagram of the modules of the wind power generation control device of this application;

[0044] Figure 5 This is a schematic diagram of the hardware operating environment involved in the device in this application.

[0045] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0046] It should be understood that the specific embodiments described herein are merely illustrative of this application and are not intended to limit this application.

[0047] To better understand the technical solution of this application, a detailed description will be provided below in conjunction with the accompanying drawings and specific implementation methods.

[0048] Wind power generation control methods consider the rotational speed of the wind turbine blades and control that speed to keep the turbine operating in the required mode, such as maximum power point tracking, rated power control, and speed-power coordination control. However, these modes rely solely on the turbine's own blade speed and other internal information, neglecting the external environment. This external environment can significantly impact the wind power generation control equipment. Focusing solely on the turbine's own parameters for control can lead to inaccurate control, potentially causing environmental factors to affect power generation or damage components of the control equipment, resulting in poor wind power generation control performance.

[0049] Therefore, based on the shortcomings of the above wind power generation control schemes, the wind power generation control method of this application is proposed. The solution of this application embodiment is: by acquiring wind direction offset, wind shear rate of change, and turbulence intensity, and then combining wind direction offset, wind shear rate of change, and turbulence intensity to determine a power generation risk index, different controls are achieved based on the power generation risk index determined by the three environmental information. That is, when the power generation risk index is a preset warning index, power generation control is performed based on a preset conservative control strategy. The coordinated control strategy controls power generation based on the external environmental parameters or internal performance parameters of the wind power generation control equipment, and controls at least one of the speed and torque of the wind power generation control equipment. When the power generation risk index is a preset normal index, power generation control is performed based on the power generation risk index and the preset coordinated control strategy. The conservative control strategy controls power generation based on preset fixed control parameters, thereby avoiding the problem of controlling only based on its own defined parameters (such as its own speed and defined operating mode). Furthermore, by combining external environmental information such as wind direction offset, wind shear rate of change, and turbulence intensity, power generation control can be achieved, that is, the influence of the environment on power generation is taken into account in power generation control, thereby improving the effect of wind power generation control.

[0050] It should be noted that the executing entity in this embodiment can be a computing service device with data processing, network communication, and program execution functions, such as a tablet computer, personal computer, or mobile phone, or a device capable of performing the above functions, such as a wind power generation control device. The following description uses a wind power generation control device as an example to illustrate this embodiment and the subsequent embodiments.

[0051] Based on this, the embodiments of this application provide a wind power generation control method, referring to... Figure 1 , Figure 1 This is a flowchart illustrating the first embodiment of the wind power generation control method of this application.

[0052] Reference Figure 1 This application provides a wind power generation control method, which includes:

[0053] Step S10: Obtain current environmental information, including wind direction offset, wind shear rate of change, and turbulence intensity.

[0054] Step S20: Determine the power generation risk index based on wind direction offset, wind shear rate of change, and turbulence intensity;

[0055] In this embodiment, the wind power generation control method is applied in a wind power generation control device, which can be a wind turbine. The entire wind power generation control method is executed by the controller in the wind power generation control device. At the same time, radar, sensors and other instruments are designed in the wind power generation control device to obtain the current environmental information of the environment in which the wind power generation control device is located. The current environmental information includes wind direction offset, wind shear rate of change and turbulence intensity. Then, the wind power generation control device can be controlled by combining the wind direction offset, wind shear rate of change and turbulence intensity.

[0056] For example, wind direction offset refers to the angle of deviation between the risk in the environment and the theoretical wind direction. For instance, a nacelle-type lidar can be used to scan and obtain the actual three-dimensional wind vector (horizontal angle φ, vertical angle θ) with a sampling frequency ≥ 50Hz. Then, the obtained actual three-dimensional wind vector is compared with the theoretical three-dimensional wind vector during the installation and design of the entire wind power generation control equipment to obtain the wind direction offset ψ. For example, the wind direction offset ψ determined by the actual three-dimensional wind vector of 35° and the theoretical three-dimensional wind vector of 30° is 5°.

[0057] For example, the wind shear rate of change refers to the rate of change of wind shear, where wind shear is a sudden change in wind direction or wind speed over a short distance in space. It can be calculated by collecting the difference between the wind speed at the top of the wind turbine control tower (v_hub) and the wind speed at the bottom of the tower (v_base). The formula for calculating the wind shear rate of change α is (1):

[0058] ɑ=ln(v_hub / v_base) / ln(H_hub / H_base)(1);

[0059] Where H_hub is the height of the top of the tower and H_base is the height of the bottom of the tower. Of course, the heights of the top and bottom of the tower can be selected according to the actual situation. For example, two points with a difference of 60m can be selected as the bottom and top of the tower, and wind speed sensors can be set at the corresponding positions.

[0060] For example, turbulence intensity refers to the physical quantity of wind speed variation with time and space, reflecting the relative intensity of fluctuating wind speed. It is a core indicator for measuring the characteristics of atmospheric turbulent motion. Turbulence intensity TI can be calculated using a cup anemometer, where T1 = σ_v / V1*100%, where σ_v is the standard deviation of wind speed over 30 seconds and V1 is the average wind speed. The standard deviation and average wind speed over 30 seconds can be collected based on relevant wind speed sensors. The collection method and process will not be described in detail here.

[0061] In one embodiment, after determining the wind direction offset, wind shear rate of change, and turbulence intensity, a power generation risk index is determined based on these parameters. The power generation risk index refers to the degree of risk associated with power generation control using only the parameters themselves. If the power generation risk index is low, the parameters themselves can continue to be used for power generation control. However, if the power generation risk index is medium to high, using the parameters themselves for power generation control will affect power generation and the lifespan of the wind power generation control equipment. Therefore, targeted control can be implemented based on the power generation risk index determined by the wind direction offset, wind shear rate of change, and turbulence intensity to determine targeted power generation control under different environments, thereby improving the effectiveness of power generation control and preventing damage to the wind power generation control equipment from the external environment, thus extending the lifespan of the wind power generation control equipment.

[0062] Step S30: When the power generation risk index is a preset normal index, power generation control is performed according to the power generation risk index and the preset coordinated control strategy. The coordinated control strategy performs power generation control on at least one of the speed and torque of the wind power generation control equipment based on the external environmental parameters or internal performance parameters of the wind power generation control equipment.

[0063] Step S40: When the power generation risk index is the preset early warning index, power generation control is carried out based on the preset conservative control strategy. The conservative control strategy controls the parameters of the wind power generation control equipment according to the preset fixed control parameters.

[0064] In this embodiment, after determining the power generation risk index, targeted control is implemented based on it. When the power generation risk index is a preset normal index (meaning the impact of the external environment on the wind power generation control equipment can be eliminated by changing internal parameters), power generation control can be performed based on the power generation risk index and a preset coordinated control strategy. The preset normal index refers to a user-defined normal index range, such as defining ranges for wind direction offset, wind shear rate of change, and turbulence intensity. The coordinated control strategy refers to controlling at least one of the wind power generation control equipment's speed and torque based on external environmental parameters or internal performance parameters. External environmental parameters include wind direction, wind speed, and surface conditions, while internal performance parameters include various speeds and torques of the wind power generation control equipment. This coordinated control strategy aims to improve or even eliminate the impact of the environment. Adjustments can be made based on these parameters to improve or even eliminate the effects of the external environment. Therefore, targeted control of the wind power generation control equipment based on the power generation risk index improves the power generation control effect. For example, if the power generation risk index is the preset warning index, it will be determined that the control parameters cannot improve or even eliminate the impact of the environment. Therefore, a preset conservative control strategy will be implemented to control power generation, thereby protecting the wind power generation control equipment. This conservative control strategy refers to controlling the parameters of the wind power generation control equipment based on preset fixed control parameters (fixed speed, torque, etc.) to ensure the safe and stable operation of the wind turbine under various operating conditions. This avoids excessive pursuit of power generation efficiency at the expense of equipment safety and grid stability. Examples include fixed pitch control, which limits power output by fixing the blade pitch angle and relying on blade aerodynamic characteristics (such as stall effect); and constant speed and frequency control, where the blades automatically stall when the wind speed exceeds the rated value, reducing wind energy capture efficiency and stabilizing output power. The generator speed is maintained constant through mechanical or electrical means, and the output frequency is synchronized with the grid. When wind speed changes, the speed is maintained constant by adjusting the pitch angle or generator load. Of course, shutdown control can also be implemented in extreme cases to avoid environmental impacts on the wind power generation control equipment.

[0065] In this embodiment, a wind power generation control method is provided. This method acquires current environmental information, including wind direction offset, wind shear rate of change, and turbulence intensity. A power generation risk index is determined based on the wind direction offset, wind shear rate of change, and turbulence intensity. If the power generation risk index is a preset normal index, power generation control is performed based on the power generation risk index and a preset coordinated control strategy. The coordinated control strategy controls at least one of the wind power generation control equipment's speed and torque based on external environmental parameters or internal performance parameters. If the power generation risk index is a preset warning index, power generation control is performed based on a preset conservative control strategy. This conservative control strategy controls the parameters of the wind power generation control equipment based on preset fixed control parameters. This wind power generation control method acquires wind direction offset, wind shear rate of change, and turbulence intensity, and then combines these to determine the wind risk index. A power generation risk index is established, and different controls are implemented based on the power generation risk index determined by three types of environmental information. Specifically, when the power generation risk index is a preset early warning index, power generation control is carried out based on a preset conservative control strategy. The coordinated control strategy controls power generation based on at least one of the speed and torque of the wind power generation control equipment according to the external environmental parameters or internal performance parameters of the wind power generation control equipment. When the power generation risk index is a preset normal index, power generation control is carried out according to the power generation risk index and the preset coordinated control strategy. The conservative control strategy controls power generation based on preset fixed control parameters, thereby avoiding the problem of controlling solely based on its own defined parameters (such as its own speed and defined operating mode). Furthermore, by combining external environmental information such as wind direction offset, wind shear rate of change, and turbulence intensity, power generation control can be achieved, that is, the impact of the environment on power generation is taken into account in power generation control, thereby improving the effectiveness of wind power generation control.

[0066] Furthermore, based on the first embodiment of this application described above, a second embodiment of the wind power generation control method of this application is proposed. In this embodiment, step S20, the step of determining the power generation risk index based on wind direction offset, wind shear rate of change, and turbulence intensity, includes:

[0067] Step S21: Compare the absolute value of the wind direction offset with the preset deviation angle to obtain the first proportional parameter; compare the wind shear change rate with the preset change rate to obtain the second proportional parameter; compare the turbulence intensity with the preset percentage to obtain the third proportional parameter; and add the first proportional parameter, the second proportional parameter, and the third proportional parameter together to obtain the risk result value.

[0068] Step S22: If the risk result value is greater than the preset threshold, the power generation risk index is determined as the preset early warning index. The preset early warning index represents an early warning sign that there is a power generation risk in the wind power generation process of the wind power generation control equipment.

[0069] Step S23: If the risk result value is less than or equal to a preset threshold, determine the power generation risk index as a preset normal index, wherein the preset normal index represents the indicator that there is no power generation risk in the wind power generation process of the wind power generation control equipment.

[0070] In this embodiment, the power generation risk index needs to be determined by combining wind direction offset, wind shear rate of change, and turbulence intensity, as can be referred to... Figure 2 , Figure 2 This is a schematic diagram of the implementation process of the wind power generation control method of this application. The power generation risk index of the environment in which the wind power generation control equipment is located is directly determined by the wind direction offset, wind shear rate of change and turbulence intensity. Then, the wind power generation control can be achieved by considering the influence of wind direction offset, wind shear rate of change and turbulence intensity, so as to ensure the effect of wind power generation control. For example, the entire process of determining the power generation risk index can be as follows: determine the first quotient between the wind direction offset and the preset deviation angle, determine the second quotient between the wind shear rate of change and the preset rate of change, and determine the third quotient between the turbulence intensity and the preset percentage. Then, determine the first product of the first quotient and the preset first weight coefficient, determine the second product of the first quotient and the preset second weight coefficient, and determine the third product of the third quotient and the preset third weight coefficient. The sum of the first product, the second product and the third product is used as the risk result value, that is, the formula (2) for the risk result value R is:

[0071] R=w1*(|ψ| / 30°)+w2*((dɑ / dt) / (0.1 / dt))+w3*(T1 / 30%) (2);

[0072] Where w1 is the first weighting coefficient, w2 is the second weighting coefficient, w3 is the third weighting coefficient, ψ is the wind direction offset, dɑ / dt is the wind shear rate of change, and T1 is the turbulence intensity. The preset deviation angle, preset rate of change, and preset percentage can be set to 30°, 0.1 / dt, and 30%, respectively, and can also be adaptively set according to actual conditions, which is not limited here. After determining the risk result value R, the risk result value R is judged. When the risk result value is less than or equal to the preset threshold, the power generation risk index is determined to be the preset normal index, such as 0.7. Then, the power generation control steps based on the power generation risk index and the preset coordinated control strategy can be executed normally to expand the effect of wind power generation control under different external conditions. Conversely, when the risk result value is greater than the preset threshold, the power generation risk index is determined to be the preset early warning index, and then the power generation control steps based on the preset conservative control strategy are executed to ensure the wind power generation control equipment. This can ensure the effect of wind power generation and thus improve the service life of the wind power generation control equipment. Among them, the preset early warning index represents an early warning sign that there is a risk of power generation in the wind power generation process of the wind power generation control equipment. That is, at this time, the external environmental impact cannot be improved or even eliminated by controlling the wind power generation control equipment. The preset normal index represents an indicator that there is no risk of power generation in the wind power generation process of the wind power generation control equipment. That is, at this time, the external environmental impact can be improved or even eliminated by controlling the wind power generation control equipment.

[0073] It is worth noting that the three weighting coefficients can be set according to the actual situation. Since the wind power generation control equipment is greatly affected by the wind direction deviation, the first weighting coefficient can be set to a larger value. When the wind direction deviation exceeds a certain value, the risk result value R will be directly greater than the preset normal index. In this application, the first weighting coefficient is set to a larger value because it is greatly affected by the wind direction deviation. Other weighting coefficients can also be set to a larger value according to the actual use scenario (such as the second weighting coefficient being set to a larger value if the wind shear rate of the wind power generation control equipment is affected in scenario A1).

[0074] In one embodiment, after determining the power generation risk index based on wind direction offset, wind shear rate of change, and turbulence intensity when the power generation risk index is a preset normal index, the process includes:

[0075] Step S25: When the turbulence intensity is the first turbulence intensity and the wind shear rate of change is within the first rate of change range, the power generation risk index is determined to be the first power generation risk index with low risk.

[0076] Step S26: When the turbulence intensity is the second turbulence intensity and the wind shear rate of change is within the range of the second rate of change, the power generation risk index is determined to be the second power generation risk index with medium risk.

[0077] Step S27: When the turbulence intensity is the third turbulence intensity and the wind shear rate of change is within the third rate of change range, the power generation risk index is determined to be a high-risk third power generation risk index. Here, the third turbulence intensity is greater than the second turbulence intensity, the second turbulence intensity is greater than the first turbulence intensity, the third rate of change range is greater than the second rate of change range, the second rate of change range is greater than the first rate of change range, and the first rate of change range, the second rate of change range, and the third rate of change range do not contain each other.

[0078] In this embodiment, after determining the power generation risk index, the entire control process can operate under a preset normal index, which can be further divided into low, medium, and high levels. Therefore, the determination is based on the three types of information previously obtained. This application considers that wind power generation control equipment is significantly affected by wind direction deviation, so the entire process needs to be executed within a certain range, such as less than 5° (this parameter can be based on experimental results). When the wind direction deviation is greater than 5°, the control process will enter the preset warning index control process based on the risk result value R. For example, when the wind direction deviation is determined to be within a certain range, the power generation risk index is determined based on the turbulence intensity and wind shear rate of change. For instance, when the turbulence intensity is the first turbulence intensity and the wind shear rate of change is within the first rate of change range, the power generation risk index is determined to be a low-risk first power generation risk index. For example, when the turbulence intensity T1 is less than 5° and the wind shear rate of change is less than 0.02 / s, this is determined to be a low-risk first power generation risk index. For example, when the turbulence intensity is the second turbulence intensity and the wind shear rate of change is within the second rate of change range, the power generation risk index is determined to be a medium-risk second power generation risk index. For example, when the turbulence intensity T1 is greater than or equal to 5° and less than 15°, and the wind shear rate of change is 0.02 / s-0.05 / s, this is determined to be a medium-risk second power generation risk index. For example, when the turbulence intensity is the third turbulence intensity and the wind shear rate of change is within the third rate of change range, the power generation risk index is determined to be a high-risk third power generation risk index. For example, when the turbulence intensity T1 is greater than 15°, and the wind shear rate of change is greater than 0.05 / s, this is determined to be a high-risk third power generation risk index, but the risk result value is less than or equal to a preset threshold. Among them, the third turbulence intensity is greater than the second turbulence intensity, the second turbulence intensity is greater than the first turbulence intensity, the third rate of change range is greater than the second rate of change range, the second rate of change range is greater than the first rate of change range, and the first, second, and third rate of change ranges are mutually exclusive. Of course, these ranges can also be set according to actual conditions, which will not be explained one by one here. The above settings are based on the influence of turbulence intensity and wind shear rate of change on wind power generation control equipment to determine parameters, so that specific control methods can be used under specific power generation risk indices to ensure the effectiveness of power generation control and the protection of wind power generation control equipment.

[0079] Furthermore, based on the first and / or second embodiments of this application described above, a third embodiment of the wind power generation control method of this application is proposed. In this embodiment, step S30, when the power generation risk index is a low-risk first power generation risk index, the external environmental parameters include the current wind speed and the current surface roughness. The step of controlling power generation according to the power generation risk index and a preset coordinated control strategy includes:

[0080] Step S301: Update the current wind speed based on the current surface roughness to obtain the corrected wind speed value;

[0081] Step S302: Determine the first target torque corresponding to the corrected wind speed value in the wind speed correspondence table in the coordinated control strategy, and adjust the torque of the wind power generation control equipment to match the first target torque.

[0082] In this embodiment, when the power generation risk index is the first power generation risk index with low risk, the wind power generation control equipment will be controlled to use the coordinated control strategy to execute the control mode under low risk. That is, when the first power generation risk index is determined, the coordinated control strategy will be triggered to obtain the current wind speed and the current surface roughness, and then the corrected wind speed value corresponding to the current wind speed and the current surface roughness will be determined based on the wind speed formula in the coordinated control strategy. Here, the current wind speed refers to the current wind speed value collected by the wind power generation control equipment, and the current surface roughness refers to the physical quantity that describes the degree of obstruction of the surface to the airflow. It is a comprehensive parameter that reflects the influence of the surface morphology (such as vegetation, buildings, terrain undulations, etc.) on the near-surface wind speed profile. It can be collected by instruments such as radar and cameras. The wind speed formula can be as shown in the following formula (3):

[0083] Ve=v_hub*(1+0.05In(z / 0.05))(3);

[0084] Where Ve is the corrected wind speed value, v_hub is the current wind speed, i.e., the wind speed at the top of the tower in the above embodiment, because it is necessary to determine the impact of the terrain on the top of the tower. z is the current surface roughness, so that the combined control of the current surface roughness can be initiated when the risk is low. This is because the wind energy capture efficiency is relatively low in areas with high surface roughness, due to the loss and depletion of wind energy caused by turbulence. In contrast, areas with low surface roughness can better maintain the stability and continuity of wind energy, improve the wind energy capture efficiency, and thus ensure the efficiency of power generation and the stability of control under low risk. Since the power generation effect can be given priority under low risk, the control will be combined with the current surface roughness to ensure the optimal power generation effect. For example, after determining the corrected wind speed value, the first target torque corresponding to the corrected wind speed value will be determined in the wind speed correspondence table in the coordinated control strategy. The first target torque is used to perform torque control on the wind power generation control equipment, that is, to convert the corrected wind speed into torque, thereby ensuring the power generation effect. The wind speed correspondence table refers to the correspondence between the corrected wind speed and the torque. For example, if the wind speed is corrected by Y, the torque will increase by Y1. Then, through joint optimization of wind speed and torque under low risk, the cut-in wind speed can be reduced from 3m / s to 2.5m / s to reduce the impact of the environment on the wind power generation control equipment, while ensuring the power generation effect under low risk.

[0085] In one embodiment, reference is made to Figure 3 , Figure 3 This is a flowchart illustrating a second embodiment of the wind power generation control method of this application. When the power generation risk index is a medium-risk second power generation risk index, the external environmental parameters include the current yaw speed and the wind direction offset. The steps for power generation control based on the power generation risk index and a preset coordinated control strategy include:

[0086] Step S311: Determine the compensation yaw speed based on the current yaw speed and wind direction offset;

[0087] Step S312: Determine the generator speed corresponding to the compensation yaw speed in the yaw speed correspondence table in the coordinated control strategy, and adjust the speed of the wind power generation control equipment to match the generator speed.

[0088] In this embodiment, when the power generation risk index is the second power generation risk index of medium risk, the wind power generation control equipment will be controlled to use the coordinated control strategy to execute the control mode under medium risk. That is, when the second power generation risk index is determined, the coordinated control strategy will be triggered to obtain the current yaw speed and wind direction offset, and then the compensation yaw speed corresponding to the current yaw speed and wind direction offset will be determined based on the yaw speed formula in the coordinated control strategy. The current yaw speed refers to the speed at which the wind turbine nacelle rotates around the vertical axis, and the unit is degrees / second (° / s). It determines how fast the unit tracks the change of wind direction and is a key indicator of the dynamic performance of the yaw system. Therefore, the yaw speed can be adjusted under medium risk to ensure the effect of wind power generation. The compensation yaw speed refers to the speed value that compensates for the current yaw speed. The yaw speed formula can be shown in the following formula (4):

[0089] V2=Vb*(1+k*|ψ|)(4);

[0090] Where Vb is the base value for defining the yaw speed, which can be 0.5° / s, and k is the compensation coefficient, which can be 0.8. At this point, the compensated yaw speed can be determined under medium risk conditions. Then, the corresponding generator speed can be determined in the yaw speed correspondence table within the coordinated control strategy. For example, by pre-defining a unique generator speed corresponding to each yaw speed and establishing a yaw speed correspondence table, a unique generator speed can be determined based on the compensated yaw speed. This generator speed can then be used to control the speed of the wind power generation control equipment to improve or even offset the impact of external environmental factors.

[0091] It's worth noting that rapid yaw can reduce power loss caused by wind direction deviation (power generation decreases by approximately 0.5% to 1% for every 1° increase in yaw error), thus enabling yaw error feedforward compensation and eliminating mechanical lag (compensation delay ≤ 0.5 seconds). Therefore, compensation needs to be combined with wind direction deviation. Simultaneously, it can also prevent a surge in dynamic loads on the blades and tower caused by sudden changes in wind direction. Therefore, a reasonable yaw speed based on wind direction deviation compensation can reduce gear wear and motor heating, extend the lifespan of the yaw system, and also ensure the service life of wind power generation control equipment.

[0092] In one embodiment, when the power generation risk index is a high-risk third power generation risk index, the internal performance parameters include engine speed and current torque command value. The step of performing power generation control based on the power generation risk index and a preset coordinated control strategy includes:

[0093] Step S321: Determine the corrected torque value based on the engine speed and the current torque command value;

[0094] Step S322: Determine the second target torque corresponding to the corrected torque value in the torque correspondence table in the coordinated control strategy, and adjust the torque of the wind power generation control device to match the second target torque (in this application, adjusting the torque / speed of the wind power generation control device to match the target torque / speed can be done by directly controlling based on the target torque / speed, or by controlling based on the target torque / speed after a certain linear change).

[0095] In this embodiment, when the power generation risk index is the high-risk third power generation risk index, the wind power generation control equipment will be controlled to use the coordinated control strategy to execute the control mode under high risk. That is, when the third power generation risk index is determined, the coordinated control strategy will be triggered to obtain the engine speed and the current torque command value, and then the corrected torque value corresponding to the engine speed and the current torque command value will be determined based on the torque formula in the coordinated control strategy. Here, the engine speed refers to the speed of the engine that drives the wind power generation control device to rotate the blades, and the current torque command value refers to the torque control value when the engine is controlled. Since the third power generation risk index is high-risk, the torque can be corrected to avoid the impact on the wind power generation control under high risk. The torque formula can be shown in the following formula (5):

[0096] TC=TM-Kd*(dw / dt)(5);

[0097] Where TC is the corrected torque value, w is the engine speed, dw / dt is the rate of change of engine speed, TM is the current torque command value, and Kd is the turbulence coefficient. That is, a unique turbulence coefficient can be determined under different turbulence intensities. Since this is the third power generation risk index with high risk, Kd is the turbulence coefficient under high risk. This can avoid the impact of turbulence intensity on wind power generation control under high risk. At the same time, by combining the control with the turbulence intensity, a turbulence compensation term can be superimposed on the traditional torque command (current torque command value), which can significantly improve the system's stability, power generation efficiency, and equipment life under turbulent wind conditions. It is worth mentioning that at this time, the independent pitch control can also be switched to high-frequency response mode (bandwidth increased to 5Hz), and closed-loop control can be achieved through blade flapping direction load feedback to ensure power generation effect. For example, after determining the corrected torque value, a second target torque is determined based on the torque correspondence table of the corrected torque value in the coordinated control strategy. Torque control of the wind power generation control equipment is then performed based on this second target torque. For instance, the corrected torque value can be directly used as the second target torque for control. Alternatively, the second target torque can be obtained after a series of feedback adjustments to the corrected torque value. The torque correspondence table can be a direct correspondence between the two values, or it can be a correspondence after feedback adjustment through relevant feedback circuits; this is not limited here. In this case, a turbulence compensation term can be superimposed on the entire power generation control process, which can significantly improve the system's stability, power generation efficiency, and lifespan of the wind power generation equipment under turbulent wind conditions.

[0098] Furthermore, based on the first, second, and / or third embodiments of this application described above, a fourth embodiment of the wind power generation control method of this application is proposed. In this embodiment, before the step of performing power generation control based on the power generation risk index and a preset coordinated control strategy, the wind power generation control method further includes:

[0099] Step a: When the turbulence intensity and the wind shear rate of change are mismatched, determine the target rate of change range corresponding to the wind shear rate of change. The mismatch between the turbulence intensity and the wind shear rate of change includes the following: when the turbulence intensity is the first turbulence intensity, the wind shear rate of change is outside the first rate of change range; or when the turbulence intensity is the second turbulence intensity, the wind shear rate of change is outside the second rate of change range; or when the turbulence intensity is the third turbulence intensity, the wind shear rate of change is outside the third rate of change range.

[0100] Step b: Determine the target pitch angle corresponding to the target rate of change range in the preset pitch angle correspondence table, wherein the target pitch angle is used to control the pitch angle of the wind power generation control equipment.

[0101] Step c: Perform pitch angle control on the wind power generation control equipment based on the target pitch angle, and then, based on the wind power generation control equipment after pitch angle control, execute the step of power generation control according to the power generation risk index and the preset coordinated control strategy.

[0102] In this embodiment, while controlling power generation based on the power generation risk index and a preset coordinated control strategy, the pitch angle can also be adjusted based on the wind shear rate of change to reduce the impact of the wind shear rate of change. This is because the above embodiment only illustrates the case where turbulence intensity and wind shear rate of change are matched. When turbulence intensity and wind shear rate of change are mismatched, a target range for the wind shear rate of change is determined. This mismatch includes situations where the wind shear rate of change is outside the first range when the turbulence intensity is a first turbulence intensity, or outside the second range when the turbulence intensity is a second turbulence intensity, or outside the third range when the turbulence intensity is a third turbulence intensity. The target range refers to the range of the wind shear rate of change collected at this time. This leads to the determination of the target pitch angle corresponding to the target rate of change range in the preset pitch angle correspondence table. For example, there is a linear correspondence between different target rate of change ranges and target pitch angles. The target pitch angle is used to control the pitch angle of the wind power generation control equipment. The pitch angle correspondence table refers to the pitch angle adjusted for different target rate of change ranges. Adjusting the pitch angle based on this situation can avoid the impact of wind shear rate of change on the wind power generation control equipment, and also offers the following advantages: 1. Balancing wind load: Wind shear causes different wind speeds at different altitudes of the wind turbine, resulting in uneven stress on various parts of the blades and even aerodynamic instability. Adjusting the pitch angle can change the blade angle of attack, making the wind load at different altitudes as balanced as possible, ensuring rotor stability, and avoiding structural damage or failure caused by uneven load. 2. Optimizing power output: Wind shear affects the wind energy distribution within the rotor plane. If pitch adjustment is only based on the wind speed at the hub height, the spatiotemporal changes in wind speed on the blade sweep surface will be ignored, leading to power output fluctuations. By adjusting the pitch angle according to the actual wind shear conditions, the wind energy utilization coefficient can be kept at its optimal level, achieving smooth control of power output and improving power generation efficiency. 3. Improved system stability: When wind shear and periodic disturbances such as tower shadow effects are superimposed, they exacerbate the periodic fluctuations in output power. Adjusting the pitch angle can reduce these fluctuations, lower the impact on the power grid, and simultaneously reduce fatigue loads on mechanical components, extending equipment lifespan. 4. Adaptability to complex terrain: In complex terrains such as hills and mountains, the wind shear effect is significant, and the vertical variation rate of wind speed is large. By dynamically adjusting the pitch angle, the uneven wind speed distribution caused by the terrain can be compensated for, ensuring that the unit can still operate efficiently and stably under complex wind conditions. It is worth noting that, at this time, the pitch angle can be adjusted to ensure the wind power generation effect when the turbulence intensity and the wind shear rate of change are mismatched. When the turbulence intensity and the wind shear rate of change are mismatched, the power generation risk index is determined based on the turbulence intensity corresponding to the turbulence intensity. This is because the pitch angle can be adjusted to improve or even eliminate the influence of the wind shear rate of change. Therefore, the above embodiment can still be controlled based on the turbulence intensity, thereby ensuring the overall control effect and applicable scenarios.

[0103] It is worth noting that the wind power generation control equipment is controlled by pitch angle based on the target pitch angle, and then the wind power generation control equipment after pitch angle control is implemented to perform power generation control based on the power generation risk index and the preset coordinated control strategy. That is, at this time, the control of different power generation risk indices is continued to be implemented to eliminate the impact of turbulence intensity.

[0104] It should be noted that the above examples are only for understanding this application and do not constitute a limitation on the wind power generation control method of this application. Any simple modifications based on this technical concept are within the protection scope of this application.

[0105] This application also provides a wind power generation control device, please refer to... Figure 4 The wind power generation control device includes:

[0106] An environment acquisition module is used to acquire current environmental information, including wind direction offset, wind shear rate of change, and turbulence intensity.

[0107] The risk determination module is used to determine the power generation risk index based on the wind direction offset, the wind shear rate of change, and the turbulence intensity.

[0108] The first control module is used to control power generation based on the power generation risk index and the preset coordinated control strategy when the power generation risk index is the preset normal index. The coordinated control strategy controls power generation based on the external environmental parameters or internal performance parameters of the wind power generation control equipment, and controls at least one of the speed and torque of the wind power generation control equipment.

[0109] The second control module is used to control power generation based on a preset conservative control strategy when the power generation risk index is a preset early warning index. The conservative control strategy controls the parameters of the wind power generation control equipment according to preset fixed control parameters.

[0110] The wind power generation control device provided in this application, employing the wind power generation control method in the above embodiments, can solve the technical problem of poor wind power generation control effect. Compared with the prior art, the beneficial effects of the wind power generation control device provided in this application are the same as those of the wind power generation control method provided in the above embodiments, and other technical features in the wind power generation control device are the same as those disclosed in the methods of the above embodiments, and will not be repeated here.

[0111] This application provides a wind power generation control device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the wind power generation control method in the above embodiment 1.

[0112] The following is for reference. Figure 5 The diagram illustrates a structural schematic of a wind power generation control device suitable for implementing the embodiments of this application. The wind power generation control device in the embodiments of this application may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Description), PMPs (Portable Media Players), vehicle terminals (e.g., vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 5 The wind power generation control device shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0113] like Figure 5As shown, the wind power generation control device may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage device 1003 into a random access memory (RAM) 1004. The RAM 1004 also stores various programs and data required for the operation of the wind power generation control device. The processing unit 1001, ROM 1002, and RAM 1004 are interconnected via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following devices can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, touchpad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), speaker, vibrator, etc.; storage devices 1003 including, for example, magnetic tape, hard disk, etc.; and communication devices 1009. Communication device 1009 allows the wind power generation control equipment to communicate wirelessly or wiredly with other equipment to exchange data. Although the figure shows a wind power generation control equipment with various devices, it should be understood that implementation or possession of all shown devices is not required. More or fewer devices may be implemented alternatively.

[0114] Specifically, according to the embodiments disclosed in this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments disclosed in this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device, or installed from storage device 1003, or installed from ROM 1002. When the computer program is executed by processing device 1001, it performs the functions defined in the methods of the embodiments disclosed in this application.

[0115] The wind power generation control device provided in this application, employing the wind power generation control method described in the above embodiments, can solve the technical problem of poor wind power generation control performance. Compared with the prior art, the beneficial effects of the wind power generation control device provided in this application are the same as those of the wind power generation control method provided in the above embodiments, and other technical features of the wind power generation control device are the same as those disclosed in the previous embodiment method, and will not be repeated here.

[0116] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0117] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0118] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., a computer program) stored thereon, the computer-readable program instructions being used to execute the wind power generation control method in the above embodiments.

[0119] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor devices, apparatuses, or components, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution apparatus, device, or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0120] The aforementioned computer-readable storage medium may be included in the wind power generation control equipment; or it may exist independently and not be assembled into the wind power generation control equipment.

[0121] The aforementioned computer-readable storage medium carries one or more programs that, when executed by the wind power generation control equipment, cause the wind power generation control equipment to:

[0122] Acquire current environmental information, including wind direction shift, wind shear rate of change, and turbulence intensity;

[0123] The power generation risk index is determined based on wind direction offset, wind shear rate of change, and turbulence intensity.

[0124] When the power generation risk index is a preset normal index, power generation control is carried out according to the power generation risk index and the preset coordinated control strategy. The coordinated control strategy controls at least one of the speed and torque of the wind power generation control equipment based on the external environmental parameters or internal performance parameters of the wind power generation control equipment.

[0125] When the power generation risk index is the preset early warning index, power generation control is carried out based on the preset conservative control strategy. The conservative control strategy controls the parameters of the wind power generation control equipment according to the preset fixed control parameters.

[0126] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a Local Area Network (LAN) or a Wide Area Network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0127] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using dedicated hardware-based apparatus to perform the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0128] The modules described in the embodiments of this application can be implemented in software or hardware. The names of the modules do not necessarily limit the functionality of the unit itself.

[0129] The computer-readable storage medium provided in this application stores computer-readable program instructions (i.e., a computer program) for executing the above-described wind power generation control method, which can solve the technical problem of poor wind power generation control performance. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as the beneficial effects of the wind power generation control method provided in the above embodiments, and will not be repeated here.

[0130] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the wind power generation control method described above.

[0131] The computer program product provided in this application can solve the technical problem of poor wind power generation control effect. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as the beneficial effects of the wind power generation control method provided in the above embodiments, and will not be repeated here.

[0132] The above are only some embodiments of this application and do not limit the patent scope of this application. All equivalent structural transformations made under the technical concept of this application and using the contents of the specification and drawings of this application, or direct / indirect applications in other related technical fields, are included in the patent protection scope of this application.

Claims

1. A wind power generation control method, characterized in that, The wind power generation control method includes: Obtain current environmental information, including wind direction shift, wind shear rate of change, and turbulence intensity; The power generation risk index is determined based on the wind direction offset, the wind shear change rate, and the turbulence intensity. The step of determining the power generation risk index based on the wind direction offset, the wind shear change rate, and the turbulence intensity includes: comparing the absolute value of the wind direction offset with a preset deviation angle to obtain a first proportional parameter; comparing the wind shear change rate with a preset change rate to obtain a second proportional parameter; comparing the turbulence intensity with a preset percentage to obtain a third proportional parameter; and weighted summing the first, second, and third proportional parameters to obtain a risk result value. If the risk result value is greater than a preset threshold, the power generation risk index is determined as a preset early warning index, where the preset early warning index represents an early warning indicator that the wind power generation process of the wind power generation control equipment has a power generation risk. If the risk result value is less than or equal to the preset threshold, the power generation risk index is determined as a preset normal index, where the preset normal index represents an indicator that the wind power generation process of the wind power generation control equipment has no power generation risk. When the power generation risk index is a preset normal index, power generation control is performed according to the power generation risk index and a preset coordinated control strategy. The coordinated control strategy controls power generation based on at least one of the speed and torque of the wind power generation control equipment according to the external environmental parameters or internal performance parameters of the wind power generation control equipment. When the power generation risk index is a preset early warning index, power generation control is performed based on a preset conservative control strategy. The conservative control strategy controls the parameters of the wind power generation control equipment according to preset fixed control parameters.

2. The wind power generation control method as described in claim 1, characterized in that, When the power generation risk index is a preset normal index, after the step of determining the power generation risk index based on the wind direction offset, the wind shear rate of change, and the turbulence intensity, the following steps are included: When the turbulence intensity is the first turbulence intensity and the wind shear rate of change is within the first rate of change range, the power generation risk index is determined to be a low-risk first power generation risk index. When the turbulence intensity is the second turbulence intensity and the wind shear rate of change is within the second rate of change range, the power generation risk index is determined to be a medium-risk second power generation risk index. When the turbulence intensity is the third turbulence intensity and the wind shear rate of change is within the third rate of change range, the power generation risk index is determined to be a high-risk third power generation risk index, wherein the third turbulence intensity is greater than the second turbulence intensity, the second turbulence intensity is greater than the first turbulence intensity, the third rate of change range is greater than the second rate of change range, the second rate of change range is greater than the first rate of change range, and the first rate of change range, the second rate of change range, and the third rate of change range are all mutually exclusive.

3. The wind power generation control method as described in claim 2, characterized in that, When the power generation risk index is a low-risk first power generation risk index, the external environmental parameters include the current wind speed and the current surface roughness. The step of controlling power generation based on the power generation risk index and a preset coordinated control strategy includes: The current wind speed is updated based on the current surface roughness to obtain a corrected wind speed value; The wind speed correspondence table in the coordinated control strategy determines the first target torque corresponding to the corrected wind speed value, and the torque of the wind power generation control equipment is adjusted to match the first target torque.

4. The wind power generation control method as described in claim 2, characterized in that, When the power generation risk index is a medium-risk second power generation risk index, the external environmental parameters include the current yaw speed and the wind direction offset. The step of performing power generation control based on the power generation risk index and the preset coordinated control strategy includes: The compensation yaw speed is determined based on the current yaw speed and the wind direction offset. The yaw speed correspondence table in the coordinated control strategy determines the generator speed corresponding to the compensated yaw speed, and the speed of the wind power generation control equipment is adjusted to match the generator speed.

5. The wind power generation control method as described in claim 2, characterized in that, When the power generation risk index is a high-risk third power generation risk index, the internal performance parameters include engine speed and current torque command value. The step of performing power generation control based on the power generation risk index and a preset coordinated control strategy includes: The corrected torque value is determined based on the engine speed and the current torque command value; The torque correspondence table in the coordinated control strategy determines the second target torque corresponding to the corrected torque value, and the torque of the wind power generation control equipment is adjusted to match the second target torque.

6. The wind power generation control method according to any one of claims 2 to 5, characterized in that, Before the step of controlling power generation based on the power generation risk index and the preset coordinated control strategy, the wind power generation control method further includes: When the turbulence intensity and the wind shear rate of change are mismatched, a target range of the wind shear rate of change is determined. The mismatch between the turbulence intensity and the wind shear rate of change includes the following: when the turbulence intensity is a first turbulence intensity, the wind shear rate of change is outside the first range; or when the turbulence intensity is a second turbulence intensity, the wind shear rate of change is outside the second range; or when the turbulence intensity is a third turbulence intensity, the wind shear rate of change is outside the third range. The target pitch angle corresponding to the target rate of change range is determined in the preset pitch angle correspondence table, wherein the target pitch angle is used to control the pitch angle of the wind power generation control equipment. The wind power generation control equipment is subjected to pitch angle control based on the target pitch angle, and the wind power generation control equipment after pitch angle control is subjected to the step of power generation control based on the power generation risk index and the preset coordinated control strategy.

7. A wind power generation control device, characterized in that, The wind power generation control device includes: An environment acquisition module is used to acquire current environmental information, including wind direction offset, wind shear rate of change, and turbulence intensity. A risk determination module is used to determine a power generation risk index based on the wind direction offset, the wind shear change rate, and the turbulence intensity. The step of determining the power generation risk index based on the wind direction offset, wind shear change rate, and turbulence intensity includes: comparing the absolute value of the wind direction offset with a preset deviation angle to obtain a first proportional parameter; comparing the wind shear change rate with a preset change rate to obtain a second proportional parameter; comparing the turbulence intensity with a preset percentage to obtain a third proportional parameter; and weightedly summing the first, second, and third proportional parameters to obtain a risk result value. If the risk result value is greater than a preset threshold, the power generation risk index is determined to be a preset early warning index, where the preset early warning index represents an early warning indicator that the wind power generation process of the wind power generation control equipment has a power generation risk. If the risk result value is less than or equal to the preset threshold, the power generation risk index is determined to be a preset normal index, where the preset normal index represents an indicator that the wind power generation process of the wind power generation control equipment has no power generation risk. The first control module is used to perform power generation control according to the power generation risk index and the preset coordinated control strategy when the power generation risk index is a preset normal index. The coordinated control strategy performs power generation control on at least one of the speed and torque of the wind power generation control equipment based on the external environmental parameters or internal performance parameters of the wind power generation control equipment. The second control module is used to control power generation based on a preset conservative control strategy when the power generation risk index is a preset early warning index. The conservative control strategy controls the parameters of the wind power generation control equipment according to preset fixed control parameters.

8. A wind power generation control device, characterized in that, The wind power generation control device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the wind power generation control method as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the wind power generation control method as described in any one of claims 1 to 6.

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