Wind turbine generator system control method, device, equipment, medium and program product
By combining lidar with a neural network model, training samples are used to predict the clearance distance value under abnormal weather conditions and adjust the operating parameters of the wind turbine. This solves the problem of inaccurate adjustment of the clearance distance value under abnormal weather conditions and improves the control effect.
Patent Information
- Application Number
- CN202411197981.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-29
- Publication Date
- 2025-10-10
- Estimated Expiration
- 2044-08-29
AI Technical Summary
Under abnormal weather conditions such as rain, snow, fog and haze, adjusting operating parameters such as blade angle based on the clearance distance value measured by the lidar may cause the actual operating conditions of the wind turbine to be inconsistent with the abnormal weather, affecting the control effect.
Combining lidar with neural network models, the distance prediction model is trained using training samples under normal meteorological conditions, and the clearance distance value is predicted under abnormal weather conditions to adjust the operating parameters of the wind turbine.
It reduces the impact of external factors such as rain, snow, fog and haze on the clearance distance value, avoids the adjustment of operating parameters that are inconsistent with the working conditions under abnormal weather conditions, and improves the control effect of the wind turbine generator set.
Smart Images

Figure CN119084224B_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of wind turbine generator set control technology, and in particular to a wind turbine generator set control method, device, equipment, medium and program product. Background Art
[0002] During the operation of a wind turbine, lidar technology can be used to monitor the clearance distance value of the wind turbine, and to adjust operating parameters such as blade angle according to the clearance distance value to ensure the safe and stable operation of the wind turbine.
[0003] However, when abnormal weather occurs, adjusting operating parameters such as blade angle based on the clearance distance value measured by the lidar may cause the adjustment of operating parameters to be inconsistent with the actual operating conditions of the wind turbine under abnormal weather conditions, affecting the control effect. Summary of the Invention
[0004] The main purpose of this application is to provide a wind turbine control method, device, equipment, medium and program product, aiming to solve the technical problem that in abnormal weather, the adjustment of operating parameters such as blade angle using the clearance distance measured by lidar will cause the adjustment of operating parameters to be inconsistent with the actual operating conditions of the wind turbine under abnormal weather conditions.
[0005] To achieve the above objectives, the present application proposes a wind turbine generator control method, which includes:
[0006] Obtain meteorological information of the environment where the wind turbine generator set is located;
[0007] If the meteorological information is a preset meteorological condition, obtaining current wind turbine operating data of the wind turbine and current wind conditions of the environment in which the wind turbine is located;
[0008] The current wind turbine operating data and current wind conditions are input into the distance prediction model to obtain the clearance distance value output by the distance prediction model. The distance prediction model is trained using training samples under normal meteorological conditions. The training samples include the wind turbine operating data characteristics and the corresponding wind condition characteristics. The labels of the training samples are the measured clearance distance values measured under normal meteorological conditions.
[0009] Based on the clearance distance value, the operating parameters of the wind turbine are adjusted.
[0010] In one embodiment, the current wind turbine operating data includes current rotor speed, current pitch angle and current blade deformation data; and / or,
[0011] The preset weather conditions are rainy, snowy or foggy.
[0012] In one embodiment, the current blade deformation data is the distance value between the ranging point and the reference point measured by the ranging sensor, the ranging point is the intersection of the ranging line of sight of the ranging sensor and the blade contour line, the ranging sensor is fixedly arranged at the center position of the blade root, and when the blade is not deformed, the ranging line of sight passes through the tip of the blade.
[0013] In one embodiment, before inputting the current wind turbine operating data and the current wind conditions into the distance prediction model and obtaining the clearance distance value output by the distance prediction model, the method further includes:
[0014] Under normal meteorological conditions, a point cloud dataset collected by a laser radar is obtained; the point cloud dataset includes a first point cloud dataset of the blade and a second point cloud dataset of the tower;
[0015] Based on the point cloud dataset, determine the measured clearance distance value.
[0016] In one embodiment, the step of determining the measured clearance distance value based on the point cloud dataset includes:
[0017] Preprocessing the first point cloud dataset to obtain a first target point cloud dataset;
[0018] Preprocessing the second point cloud dataset to obtain a second target point cloud dataset;
[0019] A blade model is constructed using the first target point cloud dataset, and a tower model is constructed using the second target point cloud dataset;
[0020] Determine the first point cloud coordinates of the blade tip point of the blade model;
[0021] Determine the second point cloud coordinates from the tower model; wherein the second point cloud coordinates are the point cloud coordinates at the same height as the first point cloud coordinates and have the shortest straight-line distance;
[0022] The first point cloud coordinates and the second point cloud coordinates are used to determine the measured clearance distance value.
[0023] In one embodiment, the step of adjusting the operating parameters of the wind turbine generator set based on the clearance distance value includes:
[0024] If the clearance distance is less than a preset threshold, the blade angle is increased.
[0025] In addition, to achieve the above-mentioned purpose, the present application also proposes a wind turbine generator set control device, which includes:
[0026] The first acquisition module is used to obtain meteorological information of the environment in which the wind turbine generator set is located;
[0027] a second acquisition module, configured to acquire current wind turbine operating data of the wind turbine and current wind conditions of the environment in which the wind turbine is located if the meteorological information is a preset meteorological condition;
[0028] An input module is configured to input current wind turbine operating data and current wind conditions into a distance prediction model to obtain a clearance distance value output by the distance prediction model; the distance prediction model is trained using training samples under normal meteorological conditions; the training samples include wind turbine operating data features and corresponding wind condition features, and the labels of the training samples are actual clearance distance values measured under normal meteorological conditions;
[0029] The adjustment module is used to adjust the operating parameters of the wind turbine generator set based on the clearance distance value.
[0030] In addition, to achieve the above-mentioned purpose, the present application also proposes a wind turbine generator set control device, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the wind turbine generator set control method as described above.
[0031] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium and stores a computer program. When the computer program is executed by a processor, the steps of the wind turbine generator control method described above are implemented.
[0032] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the steps of the wind turbine generator control method as described above are implemented.
[0033] One or more technical solutions proposed in this application have at least the following technical effects:
[0034] When the meteorological information of the environment in which the wind turbine generator set is located is a preset meteorological condition, the current wind turbine generator set operating data of the wind turbine generator set and the current wind conditions of the environment in which the wind turbine generator set is located are input into the distance prediction model to obtain the clearance distance value output by the distance prediction model, and the clearance distance value is used to adjust the operating parameters of the wind turbine generator set. Compared with the related art, which solely relies on the clearance distance value obtained by laser radar measurement to adjust the operating parameters of the wind turbine generator set, the present application combines the laser radar with a neural network model, that is, under normal meteorological conditions, the measured clearance distance measured by the laser radar and the wind turbine generator set operating data and the corresponding wind condition characteristics are used as training samples to train a distance prediction model, and under preset meteorological conditions, the distance prediction model is used to obtain a predicted clearance distance value, thereby reducing the influence of external factors such as rain, snow, fog and haze on the clearance distance value. When adjusting operating parameters such as blade angle according to the predicted clearance distance value, it is possible to avoid the situation where the adjustment of operating parameters is inconsistent with the actual operating conditions of the wind turbine generator set under abnormal weather conditions, thereby improving the control effect of the wind turbine generator set. BRIEF DESCRIPTION OF THE DRAWINGS
[0035] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.
[0036] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.
[0037] Figure 1 A flow chart of the first embodiment of the wind turbine generator control method of the present application;
[0038] Figure 2 This is a schematic diagram of the working condition of the blade of this application without deformation;
[0039] Figure 3 This is a schematic diagram of the working condition of the blade deformation in this application;
[0040] Figure 4 A simplified schematic diagram of the wind turbine generator system of this application;
[0041] Figure 5 A schematic diagram of the location of the laser radar for this application;
[0042] Figure 6 This is a schematic diagram of the module structure of the wind turbine generator control device according to an embodiment of the present application;
[0043] Figure 7Schematic diagram of the equipment structure of the hardware operating environment involved in the wind turbine generator control method in the embodiment of the present application.
[0044] The purpose, features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION
[0045] It should be understood that the specific embodiments described herein are merely used to explain the technical solutions of the present application and are not intended to limit the present application.
[0046] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.
[0047] The main solution of the embodiment of the present application is: obtaining meteorological information of the environment in which the wind turbine is located; if the meteorological information is a preset meteorological condition, obtaining the current wind turbine operating data of the wind turbine and the current wind conditions of the environment in which the wind turbine is located; inputting the current wind turbine operating data and the current wind conditions into the distance prediction model to obtain the clearance distance value output by the distance prediction model; the distance prediction model is trained by training samples under normal meteorological conditions; the training samples include wind turbine operating data features and corresponding wind condition features, and the labels of the training samples are the actual clearance distance values measured under normal meteorological conditions; based on the clearance distance value, the operating parameters of the wind turbine are adjusted.
[0048] In this embodiment, for ease of description, the following description is made with the wind turbine generator control device as the execution subject.
[0049] During the operation of a wind turbine, lidar technology can be used to monitor the clearance distance value of the wind turbine, and to adjust operating parameters such as blade angle according to the clearance distance value to ensure the safe and stable operation of the wind turbine.
[0050] At present, there are three main ways to measure the clearance distance of wind turbines:
[0051] 1. Monitoring the clearance distance value through laser radar: A laser radar is installed at the bottom of the nacelle. The laser radar can scan the blades and tower to obtain the point cloud data of the blades and the point cloud data of the tower. The laser radar transmits the point cloud data of the blades and the point cloud data of the tower to the wind turbine control device. The wind turbine control device filters and processes the point cloud data of the blades and the tower to obtain the filtered point cloud data of the blades and the filtered point cloud data of the tower. Finally, the minimum distance value between the tower and the blade tip is calculated through the detection algorithm based on the filtered point cloud data of the blades and the filtered point cloud data of the tower, and the minimum distance value is used as the clearance distance value;
[0052] 2. Calculate the clearance distance value through the three-line laser clearance radar: The three-line laser clearance radar determines the clearance distance value range of the wind turbine by emitting three beams of light;
[0053] 3. Calculate the clearance distance value through the camera video: Use the camera to obtain the image of the wind turbine blade, capture the blade outline based on the image processing algorithm, and calculate the distance between the tower and the blade based on the information of the blade point.
[0054] However, when abnormal weather occurs, the clearance distance value calculated by the above method will be interfered with by external factors such as rain, snow, and haze. As a result, when adjusting operating parameters such as blade angle according to the clearance distance value, the adjustment of operating parameters may not be consistent with the actual operating conditions of the wind turbine under abnormal weather conditions, affecting the control effect.
[0055] The present application provides a solution. When the meteorological information of the environment in which the wind turbine generator set is located is a preset meteorological condition, the current wind turbine generator set operating data and the current wind conditions of the wind turbine generator set are input into a distance prediction model to obtain a clearance distance value output by the distance prediction model, and the clearance distance value is used to adjust the operating parameters of the wind turbine generator set. Compared with the related art, which relies solely on the clearance distance value obtained by laser radar measurement to adjust the operating parameters of the wind turbine generator set, the present application combines laser radar with a neural network model. That is, under normal meteorological conditions, the measured clearance distance measured by the laser radar, the wind turbine generator set operating data and the corresponding wind condition characteristics are used as training samples to train a distance prediction model. Under preset meteorological conditions, the distance prediction model is used to obtain a predicted clearance distance value. This can reduce the impact of external factors such as rain, snow, fog and haze on the clearance distance value. As a result, when adjusting operating parameters such as blade angle according to the predicted clearance distance value, it can avoid the situation where the adjustment of operating parameters is inconsistent with the actual operating conditions of the wind turbine generator set under abnormal weather conditions, thereby improving the control effect of the wind turbine generator set.
[0056] It should be noted that the execution subject of this embodiment may be a computing service device with data processing, network communication, and program execution functions, such as a tablet computer, personal computer, mobile phone, etc., or an electronic device capable of implementing the above functions, a wind turbine generator control device, etc. The following describes this embodiment and the following embodiments using a wind turbine generator control device as an example.
[0057] Based on this, the embodiment of the present application provides a wind turbine generator control method, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the wind turbine generator control method of the present application.
[0058] In this embodiment, the wind turbine generator control method includes steps S10 to S40:
[0059] Step S10: Acquire meteorological information of the environment in which the wind turbine generator set is located.
[0060] Specifically, the wind turbine control device may periodically send a weather information acquisition request to a weather station or weather service provider at a preset time interval. After receiving the weather information acquisition request, the weather station or weather service provider sends the weather information of the wind turbine environment to the wind turbine control device.
[0061] Step S20: If the meteorological information is a preset meteorological condition, the current wind turbine operating data of the wind turbine and the current wind conditions of the environment in which the wind turbine is located are obtained.
[0062] In this embodiment, the wind turbine operating data can be stored locally in the wind turbine control device. When executing step S20, the wind turbine control device can directly read the current wind turbine operating data of the wind turbine from the local device. The current wind turbine operating data includes the current impeller speed, the current pitch angle, and the current blade deformation data; and / or the preset meteorological conditions are rainy, snowy, or foggy. The current blade deformation data is the distance value between the ranging point and the reference point measured by the ranging sensor. The ranging point is the intersection of the ranging line of sight of the ranging sensor and the blade contour line. The ranging sensor is fixedly arranged at the center position of the blade root, and when the blade is not deformed, the ranging line of sight passes through the tip of the blade.
[0063] The current wind condition may be the current wind speed and the current wind direction of the environment in which the wind turbine generator set is located. The reference point may be the center point of the blade root, or the reference point may be the starting point of the ranging line of sight of the ranging sensor.
[0064] Specifically, refer to Figure 2 As shown, Figure 2 The distance sensor 10 is fixed at the center of the blade root when the blade is not deformed. When the blade is not deformed, the distance measurement line of sight passes through the tip of the blade. The length measured by the distance sensor is D1. When the blade is deformed, the parameter Figure 3 As shown, Figure 3 Figure 1 is a schematic diagram of a blade deformation condition. When a blade deforms, the ranging sensor's sightline intersects the blade's outline at point A, the ranging point. The distance between the ranging point and the reference point is used as the current blade deformation data, or D2.
[0065] Step S30 , inputting the current wind turbine operating data and the current wind conditions into the distance prediction model to obtain the clearance distance value output by the distance prediction model.
[0066] The distance prediction model is trained using training samples under normal meteorological conditions; the training samples include wind turbine operating data features and corresponding wind condition features, and the labels of the training samples are the actual clearance distance values measured under normal meteorological conditions.
[0067] For example, the radial basis function neural network algorithm can be used to construct an initial prediction model, and the Gaussian function can be used as the radial basis function neural network transfer function. The wind condition characteristics and the operating data characteristics of the wind turbine generator set can be used as the input parameters of the model. The measured clearance distance value can be used as the output parameter to train the initial prediction model to obtain a distance prediction model.
[0068] In this embodiment, the clearance distance value can be the distance between the blade tip and the tower when the blade tip is at the lowest point during operation. Figure 4 As shown, Figure 4 This is a simplified schematic diagram of a wind turbine. The end of tower 1, away from the ground, is connected to nacelle 2, which is then connected to hub 3. Blades 4 are connected to hub 3. When the blade tip is at its lowest point, the distance D between the blade tip and the tower is the clearance distance. When the clearance distance is greater than the minimum distance between the blade tip and the tower, the blades will not contact the tower during rotation, thus preventing potential collision and structural damage.
[0069] When the current wind turbine operating data and the current wind conditions are input into the distance prediction model to obtain the clearance distance value output by the distance prediction model, in order to obtain a more accurate clearance distance value and reduce the error between the predicted clearance distance value and the actual clearance distance value, further, as an optional implementation, before step S30, the following is further included:
[0070] Step S28: Under normal meteorological conditions, obtain a point cloud data set collected by the lidar.
[0071] The point cloud dataset includes a first point cloud dataset of the blade and a second point cloud dataset of the tower.
[0072] Step S29: determining the measured clearance distance value based on the point cloud data set.
[0073] In this embodiment, the laser radar 5 can be fixedly arranged directly below the wheel hub 3, such as Figure 5 As shown, Figure 5 Schematic diagram of the location of the lidar.
[0074] Specifically, the laser radar can communicate with the wind turbine control device. Under normal meteorological conditions, the laser radar can periodically collect the first point cloud data set of the blades and the second point cloud data set of the tower at a preset interval, and send the collected first point cloud data set and second point cloud data set to the wind turbine control device.
[0075] It should be noted that after receiving the point cloud dataset, the wind turbine control device can determine the measured clearance distance value based on the point cloud dataset. When calculating the measured clearance distance value based on the point cloud dataset, in order to improve the quality of the point cloud data and calculation efficiency, further, as an optional implementation, step S29 specifically includes:
[0076] Step S291 : pre-process the first point cloud dataset to obtain a first target point cloud dataset.
[0077] Step S292: pre-process the second point cloud dataset to obtain a second target point cloud dataset.
[0078] Step S293: construct a blade model using the first target point cloud data set, and construct a tower model using the second target point cloud data set.
[0079] Step S294: determine the first point cloud coordinates of the blade tip point of the blade model.
[0080] Step S295: Determine the second point cloud coordinates from the tower model.
[0081] The second point cloud coordinates are the point cloud coordinates that are at the same height as the first point cloud coordinates and have the shortest straight-line distance.
[0082] Step S296: Determine the measured clearance distance value using the first point cloud coordinates and the second point cloud coordinates.
[0083] Specifically, after receiving the first point cloud data set and the second point cloud data set sent by the laser radar, the wind turbine control device can perform pre-processing such as filtering and screening on the first point cloud data set and the second point cloud data set respectively to obtain the first target point cloud data set and the second target point cloud data set and use the first target point cloud data set to construct a blade model, and use the second target point cloud data set to construct a tower model. After obtaining the blade model and the tower model, the tip point of the blade and the first point cloud coordinates of the tip point can be determined from the blade model. After determining the first point cloud coordinates, the second point cloud coordinates can be determined from the tower model based on the first point cloud coordinates, that is, the point cloud coordinates that are at the same height as the first point cloud coordinates and have the shortest straight-line distance. After obtaining the first point cloud coordinates and the second point cloud coordinates, the measured clearance distance value can be calculated based on the first point cloud coordinates and the second point cloud coordinates.
[0084] In this embodiment, after obtaining the point cloud dataset, the first point cloud dataset and the second point cloud dataset are preprocessed to remove noise, errors and unnecessary data points, so that subsequent modeling is more accurate and efficient, thereby obtaining more accurate measured clearance distance values, and then when the measured clearance distance values are used as training sample labels for model training, the distance prediction model obtained by training is more accurate.
[0085] Step S40: adjusting the operating parameters of the wind turbine generator set based on the clearance distance value.
[0086] Specifically, when adjusting the operating parameters of the wind turbine based on the clearance distance value, in order to ensure that the wind turbine does not interfere with surrounding objects during operation and avoid potential collisions and damage, further, as an optional implementation method, step S40 can be adaptively changed to: if the clearance distance is less than a preset threshold, the blade angle is increased, that is, by changing the aerodynamic characteristics of the blade, so that the blade with the increased blade angle can generate less lift at the same speed, thereby increasing the distance between the tip of the blade and the tower and reducing the risk of interference.
[0087] In this embodiment, when the meteorological information of the environment in which the wind turbine generator set is located is a preset meteorological condition, the current wind turbine generator set operating data and the current wind conditions of the wind turbine generator set are input into a distance prediction model to obtain a clearance distance value output by the distance prediction model, and the clearance distance value is used to adjust the operating parameters of the wind turbine generator set. Compared to the related art that solely relies on the clearance distance value obtained by laser radar measurement to adjust the operating parameters of the wind turbine generator set, this embodiment combines laser radar with a neural network model. That is, under normal meteorological conditions, the measured clearance distance measured by the laser radar, the wind turbine generator set operating data, and the corresponding wind condition characteristics are used as training samples to train a distance prediction model. Under the preset meteorological conditions, the distance prediction model is used to obtain a predicted clearance distance value. This can reduce the impact of external factors such as rain, snow, and haze on the clearance distance value. Furthermore, when adjusting operating parameters such as the blade angle based on the predicted clearance distance value, it can avoid the situation where the adjustment of the operating parameters is inconsistent with the actual operating conditions of the wind turbine generator set under abnormal weather conditions, thereby improving the control effect of the wind turbine generator set.
[0088] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the wind turbine control method of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.
[0089] This application also provides a wind turbine generator control device, please refer to Figure 6 , the wind turbine generator set control device includes:
[0090] The first acquisition module is used to obtain meteorological information of the environment in which the wind turbine generator set is located;
[0091] a second acquisition module, configured to acquire current wind turbine operating data of the wind turbine and current wind conditions of the environment in which the wind turbine is located if the meteorological information is a preset meteorological condition;
[0092] An input module is configured to input current wind turbine operating data and current wind conditions into a distance prediction model to obtain a clearance distance value output by the distance prediction model; the distance prediction model is trained using training samples under normal meteorological conditions; the training samples include wind turbine operating data features and corresponding wind condition features, and the labels of the training samples are actual clearance distance values measured under normal meteorological conditions;
[0093] The adjustment module is used to adjust the operating parameters of the wind turbine generator set based on the clearance distance value.
[0094] The wind turbine control device provided in this application, which utilizes the wind turbine control method of the aforementioned embodiment, can resolve the technical issue of using the clearance distance measured by a laser radar to adjust operating parameters such as blade angles during abnormal weather, resulting in the adjustment of operating parameters being inconsistent with the actual operating conditions of the wind turbine under abnormal weather conditions. Compared to the prior art, the beneficial effects of the wind turbine control device provided in this application are the same as those of the wind turbine control method provided in the aforementioned embodiment, and the other technical features of the wind turbine control device are the same as those disclosed in the aforementioned embodiment and are not further described here.
[0095] The present application provides a wind turbine generator set control device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the wind turbine generator set control method in the above-mentioned embodiment 1.
[0096] Reference below Figure 7, which shows a schematic structural diagram of a wind turbine generator control device suitable for implementing an embodiment of the present application. The wind turbine generator control device in the embodiment of the present application may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (e.g., vehicle-mounted navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 7 The wind turbine generator control device shown is merely an example and should not limit the functions and scope of use of the embodiments of the present application.
[0097] like Figure 7 As shown, the wind turbine control device may include a processing device 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes based on programs stored in a read-only memory (ROM) 1002 or programs loaded from a storage device 1003 into a random access memory (RAM) 1004. RAM 1004 also stores various programs and data required for the operation of the wind turbine control device. Processing device 1001, ROM 1002, and RAM 1004 are connected to each other via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems 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, a magnetic tape, hard disk, etc.; and communication devices 1009. The communication devices 1009 can allow the wind turbine control device to communicate with other devices wirelessly or by wire to exchange data. Although the figure shows a wind turbine control device with various systems, it should be understood that it is not required to implement or have all of the systems shown. More or fewer systems may be implemented or have instead.
[0098] In particular, according to the embodiments disclosed in the present application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, the embodiments disclosed in the present application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program comprising program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network via a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.
[0099] The wind turbine control device provided in this application, which utilizes the wind turbine control method of the aforementioned embodiment, can resolve the technical issue of using the clearance distance measured by a laser radar to adjust operating parameters such as blade angles during abnormal weather, resulting in the adjustment of operating parameters being inconsistent with the actual operating conditions of the wind turbine under abnormal weather conditions. Compared to the prior art, the beneficial effects of the wind turbine control device provided in this application are the same as those of the wind turbine control method provided in the aforementioned embodiment, and the other technical features of the wind turbine control device are the same as those disclosed in the aforementioned embodiment, and are not further described here.
[0100] 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 one or more embodiments or examples in a suitable manner.
[0101] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.
[0102] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer program) stored thereon, and the computer-readable program instructions are used to execute the wind turbine generator control method in the above embodiment.
[0103] 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 systems or devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.
[0104] The computer-readable storage medium may be included in the wind turbine generator set control device; or may exist independently without being assembled into the wind turbine generator set control device.
[0105] The above-mentioned computer-readable storage medium carries one or more programs. When the above-mentioned one or more programs are executed by the wind turbine control device, the wind turbine control device is enabled to: obtain meteorological information of the environment in which the wind turbine is located; if the meteorological information is a preset meteorological condition, obtain the current wind turbine operation data of the wind turbine and the current wind conditions of the environment in which the wind turbine is located; input the current wind turbine operation data and the current wind conditions into the distance prediction model to obtain the clearance distance value output by the distance prediction model; the distance prediction model is trained by training samples under normal meteorological conditions; the training samples include wind turbine operation data features and corresponding wind condition features, and the labels of the training samples are the actual clearance distance values measured under normal meteorological conditions; based on the clearance distance value, the operating parameters of the wind turbine are adjusted.
[0106] Computer program code for performing the operations of the present application may be written in one or more programming languages, or a combination thereof, including object-oriented programming languages such as Java, Smalltalk, C++, and conventional procedural programming languages such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on the remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).
[0107] The flow charts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a module, program segment or a part of code, and the module, program segment or a part of code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order than that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented by a dedicated hardware-based system that performs the specified function or operation, or can be implemented by a combination of dedicated hardware and computer instructions.
[0108] The modules described in the embodiments of the present application may be implemented in software or hardware, wherein the name of a module does not necessarily limit the unit itself.
[0109] The computer-readable storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., a computer program) for executing the aforementioned wind turbine control method. This computer-readable storage medium can address the technical issue of using the clearance distance measured by a laser radar to adjust operating parameters such as blade angles during abnormal weather, which can result in the adjustment of operating parameters being inconsistent with the actual operating conditions of the wind turbine under abnormal weather conditions. Compared to the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the wind turbine control method provided in the aforementioned embodiments, and are not further elaborated here.
[0110] The present application also provides a computer program product, comprising a computer program, which implements the steps of the above-mentioned wind turbine generator control method when executed by a processor.
[0111] The computer program product provided in this application can resolve the technical issue of using the clearance distance measured by lidar to adjust operating parameters such as blade angles during abnormal weather conditions, which can result in the adjustment of operating parameters being inconsistent with the actual operating conditions of the wind turbine generator set under abnormal weather conditions. Compared to the prior art, the beneficial effects of the computer program product provided in this application are the same as those of the wind turbine generator set control method provided in the aforementioned embodiments, and are not further elaborated here.
[0112] The above description is only part of the embodiments of the present application and does not limit the patent scope of the present application. All equivalent structural transformations made by using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect application in other related technical fields are included in the patent protection scope of the present application.
Claims
1. A wind turbine generator control method, characterized in that: The wind turbine generator set control method comprises: Obtain meteorological information of the environment where the wind turbine generator set is located; If the meteorological information is a preset meteorological condition, obtaining current wind turbine operating data of the wind turbine and current wind conditions of the environment in which the wind turbine is located; Inputting the current wind turbine operating data and the current wind conditions into a distance prediction model to obtain a clearance distance value output by the distance prediction model; the distance prediction model is trained using training samples under normal meteorological conditions; the training samples include wind turbine operating data features and corresponding wind condition features, and the labels of the training samples are actual clearance distance values measured under normal meteorological conditions; Based on the clearance distance value, operating parameters of the wind turbine generator set are adjusted.
2. The wind turbine generator control method according to claim 1, wherein: The current wind turbine generator set operation data includes the current impeller speed, the current pitch angle and the current blade deformation data; and / or, The preset weather conditions are rainy, snowy or foggy.
3. The wind turbine generator control method according to claim 2, wherein: The current blade deformation data is the distance value between the ranging point and the reference point measured by the ranging sensor, the ranging point is the intersection of the ranging line of sight of the ranging sensor and the blade contour line, the ranging sensor is fixedly arranged at the center position of the blade root, and when the blade is not deformed, the ranging line of sight passes through the tip of the blade.
4. The wind turbine generator control method according to claim 1, wherein: Before inputting the current wind turbine generator set operating data and the current wind conditions into a distance prediction model to obtain the clearance distance value output by the distance prediction model, the method further includes: Under normal meteorological conditions, a point cloud dataset collected by a laser radar is obtained; the point cloud dataset includes a first point cloud dataset of the blade and a second point cloud dataset of the tower; The measured clearance distance value is determined based on the point cloud dataset.
5. The wind turbine generator control method according to claim 4, wherein: The step of determining the measured clearance distance value based on the point cloud data set includes: Preprocessing the first point cloud dataset to obtain a first target point cloud dataset; Preprocessing the second point cloud dataset to obtain a second target point cloud dataset; constructing a blade model using the first target point cloud dataset, and constructing a tower model using the second target point cloud dataset; Determining a first point cloud coordinate of a blade tip point of the blade model; Determine a second point cloud coordinate from the tower model; wherein the second point cloud coordinate is a point cloud coordinate at the same height as the first point cloud coordinate and having the shortest straight-line distance; The measured clearance distance value is determined using the first point cloud coordinates and the second point cloud coordinates.
6. The wind turbine generator control method according to claim 1, wherein: The step of adjusting the operating parameters of the wind turbine generator set based on the clearance distance value includes: If the clearance distance is less than a preset threshold, the blade angle is increased.
7. A wind turbine generator control device, characterized in that: The wind turbine generator set control device comprises: A first acquisition module is used to acquire meteorological information of the environment in which the wind turbine generator set is located; a second acquisition module, configured to acquire current wind turbine operating data of the wind turbine and current wind conditions of the environment in which the wind turbine is located if the meteorological information is a preset meteorological condition; an input module, configured to input the current wind turbine operating data and the current wind conditions into a distance prediction model to obtain a clearance distance value output by the distance prediction model; the distance prediction model is trained using training samples under normal meteorological conditions; the training samples include wind turbine operating data features and corresponding wind condition features, and the labels of the training samples are actual clearance distance values measured under normal meteorological conditions; An adjustment module is configured to adjust operating parameters of the wind turbine generator set based on the clearance distance value.
8. A wind turbine generator control device, characterized in that: The device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the wind turbine control method according to any one of claims 1 to 6.
9. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the wind turbine generator control method according to any one of claims 1 to 6 are implemented.
10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the wind turbine control method according to any one of claims 1 to 6 are implemented.
Citation Information
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