A wind turbine generator set based on airflow data model and operation method thereof

By using lidar sensors and prediction algorithms in wind turbines, precise yaw and shutdown control of wind turbines is achieved, and the problem of rapid wind speed and wind direction changes in mountain wind farms is solved, the power generation efficiency and equipment life are improved, and the loss of wind decay is reduced.

CN118481908BActive Publication Date: 2025-08-12XEMC NEW ENERGY CO LTD
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Patent Information

Application Number
CN202410615501.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-05-17
Publication Date
2025-08-12
Estimated Expiration
2044-05-17

AI Technical Summary

Technical Problem

The existing wind turbines change rapidly in mountain wind farms, and the yaw control is lagging. The simple door threshold control strategy at high wind speeds leads to serious losses in wind decay. When the anemometer is damaged, it can only shut down and cannot effectively utilize wind energy.

Method used

The wind turbine unit based on the airflow data model is adopted, and the real-time monitoring of wind speed and wind direction is used for lidar sensors, combined with prediction algorithms and collaborative control technology, to achieve early yaw and precise shutdown, reduce wind loss, and improve power generation efficiency and equipment life.

Benefits of technology

It improves the power generation efficiency of wind turbines, reduces wind loss, extends equipment life, and optimizes the economic sustainability and competitiveness of wind farms.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention relates to the technical field of wind turbines and discloses a wind turbine based on an airflow data model and its operating method. The wind turbine comprises a wind turbine generator mechanism, wherein the wind turbine generator mechanism is provided with an auxiliary component. The auxiliary component comprises: a base provided on the wind turbine generator mechanism; a mounting block slidably connected to the base; and a bolt threadedly connected to the base, one end of each bolt inserted into the mounting block. The wind turbine generator mechanism is provided with multiple auxiliary components. The invention has the advantages of improving the power generation efficiency of the wind turbine generator mechanism, reducing wind curtailment losses, early identification of storms and dangerous conditions, coordinated operation and data sharing, and improving the economic sustainability of wind farms. The invention also improves power generation efficiency and reduces maintenance costs by reducing wind curtailment. This is very important for reducing energy costs, improving the competitiveness of wind farms, and reducing environmental impact.
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Description

Technical Field

[0001] The present invention relates to the technical field of wind turbine generator sets, and in particular to a wind turbine generator set based on an airflow data model and an operating method thereof. Background Art

[0002] A wind turbine is a system that converts the kinetic energy of wind into electrical energy. A wind turbine includes a wind rotor and a generator. The wind rotor consists of blades, a hub, reinforcements, etc. It has functions such as blades rotating under wind power to generate electricity and the generator head rotating. The wind power supply consists of a wind turbine, a tower supporting the turbine, a battery charge controller, an inverter, an unloader, a grid connection controller, a battery pack, etc.

[0003] When the existing wind turbine generator sets yaw to the wind, they mainly perform dynamic yaw to the wind based on the wind speed and wind direction data of the wind turbine cabin weather station. However, since the current data collection mode of the wind turbine generator set is "the weather station detects the wind speed and wind direction, feeds back to the PLC module, and the PLC module makes a logical judgment on whether the yaw system is in action", the response is delayed and slow, which cannot meet the complex and changeable wind speed and wind direction requirements of mountain wind farms. In addition, the wind turbine generator set's shutdown logic for high wind speed storms only sets the maximum wind speed and the average wind speed threshold within a period of time to control the unit at high wind speeds. The control strategy under the control strategy results in the wind speed being detected by the unit only when it blows to the top of the nacelle. At this time, if the wind speed threshold is reached, the unit will trigger a storm shutdown. However, in mountain wind farms, the wind speed often fluctuates. If the high wind speed causes the threshold to be activated, the unit will shut down for protection. If the subsequent wind speed is a safe and effective wind speed, then the power generation during this period is equivalent to forced wind abandonment, which is unacceptable for the construction of a new power supply system for wind power new energy. In addition, when the anemometer of a single wind turbine is damaged, only a shutdown strategy can be adopted, and the wind speed and wind direction cannot be simulated. Summary of the Invention

[0004] (1) Technical problems solved

[0005] In response to the shortcomings of the existing technology, the present invention provides a wind turbine generator set and its operation method based on an airflow data model, which has the advantages of early yaw to wind, active storm shutdown, coordinated control, and improved power generation efficiency and life. It solves many problems faced by existing wind turbine generator sets in mountain wind farms, including rapid changes in wind direction and wind speed, severe turbulence, yaw control lag, and simple gate threshold control strategy under high wind speeds.

[0006] (2) Technical solution

[0007] To achieve the above-mentioned objectives, the present invention provides the following technical solutions: a wind turbine generator set based on an airflow data model, comprising a wind turbine generator mechanism, wherein the wind turbine generator mechanism is provided with an auxiliary component; the auxiliary component comprises: a base, provided on the wind turbine generator mechanism; a mounting block, slidably connected to the base; a bolt, threadedly connected to the base, one end of the bolt being inserted into the mounting block; a lidar sensor, provided on the mounting block; the wind turbine generator mechanism is provided in plurality, and each wind turbine generator mechanism is connected to server one via a cable for transporting data and returning lidar data; the server one is connected to server two via a cable for server data intercommunication and combining Scada historical data to form a wind farm meteorological data model; the server two is connected to a remote monitoring machine in a central control room for remote control and monitoring by operation and maintenance personnel, and the server one is connected to the remote monitoring machine in the central control room; the remote monitoring machine in the central control room is connected to a weather station via a cable for returning unit operation data and weather station data.

[0008] In some embodiments, the auxiliary component further includes: a limiting rod, which is provided on the wind power generation mechanism, and the limiting rod is inserted into the mounting block.

[0009] In some embodiments, the mounting block has a rectangular cross-section.

[0010] In some embodiments, a housing is provided on the mounting block.

[0011] In some embodiments, an adjustment component is further provided on the mounting block; the adjustment component includes: a slide groove, which is opened on the shell; a slider, which is provided on the mounting block, and the slider is slidably connected in the slide groove.

[0012] In some embodiments, the adjustment assembly further includes: a fixing bolt threadedly connected to the housing.

[0013] In some embodiments, the chute height is greater than the lidar sensor height.

[0014] In some embodiments, the wind power generation mechanism is provided with an electric push rod.

[0015] (3) Beneficial effects

[0016] Compared with the prior art, the present invention provides a wind turbine generator set based on an airflow data model and an operating method thereof, which has the following beneficial effects:

[0017] 1. Improve the power generation efficiency of wind turbines: By using lidar to accurately predict wind speed and direction, wind turbines can adjust their yaw angles more promptly to maximize energy capture. This will significantly improve the power generation efficiency of wind turbines and reduce energy waste.

[0018] 2. Reduced wind curtailment losses: By being able to more accurately predict future wind speed and direction, wind turbines are less likely to trigger shutdown protection errors, thereby reducing wind curtailment losses. This helps improve the energy utilization rate of wind farms and maximize the conversion of wind energy into electricity.

[0019] 3. Early detection of storms and hazardous conditions: LiDAR systems can proactively identify whether wind speeds have reached storm levels, helping wind turbines take preventative measures and reduce the risk of equipment damage. This can reduce maintenance costs and extend equipment life.

[0020] 4. Collaborative operation and data sharing: If multiple wind turbines are operating in the same area, collaborative control technology allows the units to share lidar data and make collaborative decisions to improve the performance of the entire wind farm. This helps optimize the power generation efficiency of the wind farm.

[0021] 5. Improve the economic sustainability of wind farms: This invention helps improve the economic sustainability of wind farms by reducing wind curtailment, improving power generation efficiency, and lowering maintenance costs. This is important for reducing energy costs, improving the competitiveness of wind farms, and reducing environmental impact. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a structural schematic diagram of the present invention;

[0023] Figure 2 It is a structural schematic diagram of the wind power generation mechanism in the present invention;

[0024] Figure 3 This is a schematic diagram of the front internal structure of the auxiliary component of the present invention;

[0025] Figure 4 It is a schematic diagram of the installation process of the present invention;

[0026] Figure 5 A flow chart for issuing advance yaw commands for the present invention;

[0027] Figure 6 This is a flow chart of the present invention for determining whether a storm crossing is completed;

[0028] Figure 7 This is a flow chart of the present invention showing how a faulty unit can be put back into operation based on simulated wind speed.

[0029] Figure 8This is a flowchart of the present invention that uses the data from the laser radar test and the meteorological data model to calculate whether the weather station data of the unit is accurate, thereby achieving precise wind control.

[0030] In the picture:

[0031] 1. Wind turbine generator; 2. Server 1; 3. Server 2; 4. Remote monitoring machine in the central control room; 5. Weather station;

[0032] 6. Auxiliary components; 61. Base; 62. Mounting block; 63. Bolt; 64. LiDAR sensor; 65. Limit rod;

[0033] 7. Shell;

[0034] 8. Adjustment assembly; 81. Slide; 82. Slider; 83. Fastening bolt;

[0035] 9. Electric linear actuator. DETAILED DESCRIPTION

[0036] It should be noted that all directional indications in the embodiments of the present application are only used to explain the relative position relationship, movement status, etc. between the components in a certain specific posture. If the specific posture changes, the directional indication will also change accordingly.

[0037] In this application, unless otherwise specified or limited, the terms "connection" and "fixation" should be understood in a broad sense. For example, "fixation" can mean fixed connection, detachable connection, or integration; mechanical connection or electrical connection; direct connection or indirect connection through an intermediate medium; internal communication between two elements or interaction between two elements, unless otherwise specified. For those skilled in the art, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0038] In addition, the descriptions of "first", "second", etc. in this application are for descriptive purposes only and should not be understood as indicating or implying their relative importance or implicitly indicating the number of the technical features indicated. Therefore, the features defined as "first" or "second" may explicitly or implicitly include at least one of such features. In addition, the technical solutions between the various embodiments can be combined with each other, but this must be based on the fact that they can be implemented by ordinary technicians in this field. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by this application.

[0039] A wind turbine generator set includes a wind rotor and a generator; the wind rotor contains blades, a hub, reinforcements, etc. It generates electricity by rotating the blades under the wind force and coordinating with the rotation of the generator head to achieve power generation. The wind power supply consists of a wind turbine generator set, a tower supporting the generator set, a battery charge controller, an inverter, an unloader, a grid connection controller, a battery pack, etc.

[0040] In the related technology, when yaw to the wind, dynamic yaw to the wind is mainly based on the wind speed and wind direction data of the wind turbine cabin weather station. However, since the current data collection mode of the wind turbine generator set is "the weather station detects the wind speed and wind direction, feeds back to the PLC module, and the PLC module makes a logical judgment on whether the yaw system is in action", the response is delayed and slow, which cannot meet the complex and changeable wind speed and wind direction requirements of mountain wind farms. In addition, the wind turbine generator set's shutdown logic for storms under high wind speeds only sets the maximum wind speed and the average wind speed threshold over a period of time to control the unit under high wind speeds. The control strategy results in the wind speed being detected by the unit only when it blows to the top of the nacelle. At this time, if the wind speed threshold is reached, the unit will trigger a storm shutdown. However, in mountain wind farms, the wind speed often fluctuates. If the high wind speed causes the threshold to be activated, the unit will shut down for protection. If the subsequent wind speed is a safe and effective wind speed, then the power generation during this period is equivalent to forced wind abandonment, which is unacceptable for the construction of a new power supply system for wind power new energy. In addition, when the anemometer of a single wind turbine is damaged, only a shutdown strategy can be adopted, and the wind speed and wind direction cannot be simulated.

[0041] In order to solve the problems in the related technology to a certain extent, the embodiment of the present application provides a wind turbine generator set based on an airflow data model, uses a lidar wind measurement system to protect the design and configuration of the lidar system, including hardware and software components, to obtain and process wind speed and wind direction data, uses a prediction algorithm to protect the algorithm used to predict future wind speed and wind direction changes to ensure that others cannot use these algorithms without authorization, uses a control system improvement to protect any improvements to the wind turbine generator set control system to improve the accuracy and efficiency of yaw and shutdown decisions, and uses collaborative control technology to protect collaborative control technology to ensure that other wind farms cannot use this technology without authorization to achieve data sharing and collaborative operation between units.

[0042] The present application is described below with reference to specific embodiments and with reference to the accompanying drawings:

[0043] Combine Figure 1-Figure 4The embodiment of the present application provides a wind turbine generator set based on an airflow data model, including a wind turbine generator mechanism 1, wherein the wind turbine generator mechanism 1 is provided with an auxiliary component 6; the auxiliary component 6 includes: a base 61, which is provided on the wind turbine generator mechanism 1; a mounting block 62, which is slidably connected to the base 61; a bolt 63, which is threadedly connected to the base 61, and one end of the bolt 63 is inserted into the mounting block 62; a laser radar sensor 64, which is provided on the mounting block 62; the wind turbine generator mechanism 1 is provided with multiple, and each wind turbine generator mechanism Each mechanism 1 is connected to server 1 2 via a cable for transport data and lidar data transmission; the server 1 2 is connected to server 2 3 via a cable for server data intercommunication and combining with Scada historical data to form a wind farm meteorological data model; the server 2 3 is connected to the remote monitoring machine 4 in the central control room for remote control and monitoring by operation and maintenance personnel, and the server 1 2 is connected to the remote monitoring machine 4 in the central control room; the remote monitoring machine 4 in the central control room is connected to the weather station 5 via a cable for unit operation data and weather station data transmission.

[0044] When in use, a laser radar system installed on a representative wind turbine generator set is selected, including one or more laser radar sensors 64. Each laser radar sensor 64 includes a laser transmitter and a receiver for emitting a laser beam and measuring the echo time of the laser beam. It also includes a signal processing unit and a data transmission unit for processing and transmitting laser radar data. Wind speed data is obtained by measuring the echo time of the laser beam of the laser radar sensor 64. The wind direction can be determined by analyzing the echo position and time difference of the laser beam. Server 1 2 and server 2 3 are equipped with advanced prediction algorithms for analyzing historical wind speed and wind direction data as well as real-time laser radar and original weather station data of the unit. The prediction algorithm uses complex mathematical models and statistical methods to predict future changes in wind speed and wind direction according to factors such as the geographical location and terrain of the wind farm to improve the prediction accuracy. Once the wind speed and wind direction are predicted, the control system will adjust the yaw angle of the wind turbine 1 accordingly. The control system and the yaw drive system of the wind turbine 1 are connected. Communication is used to ensure that the wind turbine is in the optimal position facing the wind. The control system controls whether the wind turbine 1 should shut down to avoid the wind, perform emergency yaw, or generate power against the wind based on the expected wind speed and direction data. Based on the established wind farm meteorological model, a comparative analysis is conducted on multiple wind turbines 1 in the same wind farm to determine which units have basically consistent meteorological data. If the anemometer or wind vane of such wind turbine 1 is damaged, control can be performed based on the meteorological data of similar wind turbines 1 and the data of the lidar sensor 64 to ensure that the wind turbine 1 does not shut down. If multiple wind turbines 1 operate in the same area, the control system can achieve data sharing and collaborative operation through collaborative control technology. The wind turbines 1 can coordinate with each other to ensure the maximum performance of the entire wind farm. When installing the lidar sensor 64, the mounting block 62 is inserted into the base 61 and then fixed with bolts 63 to complete the installation of the lidar sensor 64. Otherwise, it can be removed.

[0045] In some embodiments, the auxiliary component 6 further includes: a limiting rod 65, which is provided on the wind power generation mechanism 1, and the limiting rod 65 is inserted into the mounting block 62 to facilitate the installation of the mounting block 62.

[0046] In some embodiments, the mounting block 62 has a rectangular cross-section, which restricts the mounting block 62 to only slide longitudinally.

[0047] In some embodiments, a shell 7 is provided on the mounting block 62 , and the shell 7 protects the mounting block 62 and the laser radar sensor 64 on the mounting block 62 .

[0048] In some embodiments, an adjustment component 8 is further provided on the mounting block 62 ; the adjustment component 8 includes: a slide groove 81 , which is opened on the shell 7 ; a slider 82 , which is provided on the mounting block 62 , and the slider 82 is slidably connected in the slide groove 81 .

[0049] When in use, the housing 7 is pushed downward to allow the slider 82 to slide in the slide groove 81, which does not affect the normal use of the laser radar sensor 64. On the contrary, the laser radar sensor 64 is covered to play a protective role.

[0050] In some embodiments, the adjustment assembly 8 further includes a fixing bolt 83 threadedly connected to the housing 7 , and the position of the housing 7 is fixed by the fixing bolt 83 .

[0051] In some embodiments, the height of the slide groove 81 is greater than the height of the laser radar sensor 64 , so that the shell 7 can better protect the laser radar sensor 64 .

[0052] In some embodiments, the wind power generation mechanism 1 is provided with an electric push rod 9, which is turned on by remote control to push the housing 7 to slide up and down for easy adjustment.

[0053] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification.

[0054] In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the fact that ordinary technicians in this field can implement them. When the combination of technical solutions is mutually contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by this application.

[0055] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A wind turbine generator set based on an airflow data model, characterized by: The invention comprises a wind power generation mechanism (1), wherein the wind power generation mechanism (1) is provided with an auxiliary component (6); the auxiliary component (6) comprises: A base (61) is provided on the wind power generation mechanism (1); A mounting block (62) is slidably connected to the base (61); A bolt (63) is threadedly connected to the base (61), and one end of the bolt (63) is inserted into the mounting block (62); A laser radar sensor (64) is arranged on the mounting block (62); a plurality of wind power generation mechanisms (1) are provided, and each wind power generation mechanism (1) is connected to a server (2) via a cable for transporting data and returning laser radar data; The server one (2) is connected to the server two (3) via a cable, and is used for server data intercommunication and combining with Scada historical data to form a wind farm meteorological data model; The server 2 (3) is connected to the remote monitoring machine (4) in the central control room for remote control and monitoring by operation and maintenance personnel, and the server 1 (2) is connected to the remote monitoring machine (4) in the central control room; The central control room remote monitoring machine (4) is connected to the weather station (5) via a cable for transmitting the unit operation data and the weather station data back; a shell (7) is provided on the mounting block (62), and an adjustment component (8) is also provided on the mounting block (62); the adjustment component (8) comprises: a slide (81) provided on the shell (7); a slider (82) provided on the mounting block (62), the slider (82) being slidably connected in the slide (81); an electric push rod (9) is provided on the wind power generation mechanism (1), and the electric push rod (9) is turned on by remote control to push the shell (7) to slide up and down, thereby facilitating adjustment.

2. A wind turbine generator set based on an airflow data model according to claim 1, characterized in that: The auxiliary component (6) further comprises: A limiting rod (65) is provided on the wind power generation mechanism (1), and the limiting rod (65) is inserted into the mounting block (62).

3. A wind turbine generator set based on an airflow data model according to claim 2, characterized in that: The cross section of the mounting block (62) is rectangular.

4. The wind turbine generator set based on the airflow data model according to claim 1, characterized in that: The regulating component (8) further comprises: The fastening bolt (83) is threadedly connected to the housing (7).

5. The wind turbine generator set based on the airflow data model according to claim 1, characterized in that: The height of the chute (81) is greater than the height of the laser radar sensor (64).

6. A method for operating a wind turbine generator, comprising the steps of: S1: When used, selecting a laser radar system installed on a representative wind turbine generator system including one or more laser radar sensors (64); S2: obtaining wind speed data by measuring the laser beam echo time of the laser radar sensor (64), and determining the wind direction by analyzing the laser beam echo position and time difference; S3: Server 1 (2) and Server 2 (3) are equipped with advanced prediction algorithms to analyze historical wind speed and direction data as well as real-time lidar and original weather station data of the unit. The prediction algorithms use complex mathematical models and statistical methods to predict future changes in wind speed and direction; S4: After predicting the wind speed and wind direction, adjust the yaw angle of the wind power generation mechanism (1) to ensure that the wind power generation mechanism is in an optimal position facing the wind; S5: The control system controls the wind power generation mechanism (1) to stop to avoid the wind, perform emergency yaw, or generate power against the wind according to the expected wind speed and wind direction data.

Citation Information

Patent Citations

  • Wind turbine generator load reduction method based on laser radar

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