Method and device for adjusting yaw error and computer program product
By calculating the wind speed reduction factor and wind direction offset factor, compensating and adjusting the wind speed and wind direction, the yaw error problem of wind turbines is solved and the power generation efficiency is improved.
Patent Information
- Application Number
- CN202411594100.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-08
- Publication Date
- 2025-01-03
Smart Images
Figure CN119244441A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of wind power generation, and in particular to a method, device and computer program product for adjusting a yaw error. Background Art
[0002] In order to detect wind speed and wind direction signals in time, wind turbines usually install anemometers at the rear of the nacelle. The measured signals are used by the main control system to control the start and stop of the wind turbine and the yaw system to the wind, thereby ensuring the continuous and stable operation of the wind turbine and the optimal absorption of wind energy, thereby maximizing the power generation of the unit.
[0003] In actual applications, due to differences in the top structural layout of the nacelle, the installation methods of each model are different. It can be designed to be installed in the middle of the rear of the nacelle or on the left or right. However, no matter which installation method is used, for upwind wind turbines, the wind measuring device installed at the rear of the nacelle is behind the impeller. The wind blows from the front of the wind turbine. After passing through the rotating wind wheel, the speed and direction will change accordingly due to the influence of the rotation of the wind wheel. Therefore, the wind speed and direction signals measured by the wind measuring device installed at the rear of the nacelle are affected by the rotating wind wheel, rather than the actual incoming wind speed and direction, which causes the inherent yaw error of the wind turbine. This will cause the power curve of the wind turbine to drop and the power generation to be damaged, so the influence of this angle on the unit must be eliminated.
[0004] Therefore, in the related art, there is a problem of how to obtain accurate wind direction and wind speed to reduce the yaw error of the wind turbine.
[0005] With regard to the problem of how to obtain accurate wind direction and wind speed in related technologies to reduce the yaw error of wind turbines, no effective solution has been proposed so far.
[0006] Therefore, it is necessary to improve the related technology to overcome the above-mentioned defects in the related technology. Summary of the invention
[0007] The embodiments of the present application provide a method, device and computer program product for adjusting a yaw error, so as to at least solve the problem in the related art of how to obtain accurate wind direction and wind speed to reduce the yaw error of a wind turbine.
[0008] According to one aspect of an embodiment of the present application, a method for adjusting a yaw error is provided, which is applied to a wind turbine, wherein a wind measuring device is installed on a nacelle of the wind turbine, and the method comprises: determining a wind speed reduction factor and a wind direction offset factor based on monitoring data obtained by monitoring the wind turbine; calculating a measured wind speed based on the wind speed reduction factor to obtain a compensated wind speed, and calculating a measured wind direction based on the wind direction offset factor to obtain a compensated wind direction, wherein the measured wind speed and the measured wind direction are measured by the wind measuring device; and adjusting the yaw angle of the wind turbine according to the compensated wind speed and the compensated wind direction.
[0009] In an exemplary embodiment, the monitoring data includes the instantaneous rotation angle of the wind rotor blades, the angle of the incoming wind direction relative to the central axis of the wind rotor, the angle of the wind measuring device relative to the central axis of the wind rotor, and the length of the wind rotor blades. The wind speed reduction factor and the wind direction deviation factor are determined according to the monitoring data obtained by monitoring the wind turbine, including: calculating the wind speed reduction factor by the following formula:
[0010]
[0011] The wind direction deviation factor is calculated by the following formula:
[0012]
[0013] Among them, S(θ,α) represents the wind speed reduction factor, D(θ,β) represents the wind direction deviation factor, θ represents the instantaneous rotation angle of the wind rotor blade, α represents the angle between the incoming wind direction and the central axis of the wind rotor, β represents the angle between the measuring direction of the wind measuring device and the central axis of the wind rotor, L represents the length of the wind rotor blade, and k represents the adjustment coefficient.
[0014] In an exemplary embodiment, the monitoring data further includes an instantaneous rate of change of wind speed, and the method further includes: when it is determined that the wind turbulence intensity in the operating environment of the wind turbine is greater than a first preset value, calculating the wind speed reduction factor by the following formula:
[0015]
[0016] Among them, S(θ,α,u) represents the wind speed reduction factor in the wind turbulence environment, u represents the wind turbulence intensity coefficient, Indicates the instantaneous rate of change of wind speed.
[0017] In an exemplary embodiment, the method further includes: when it is determined that the wind shear intensity in the operating environment of the wind turbine is greater than a second preset value, calculating the wind direction deviation factor by the following formula:
[0018]
[0019] Where D(θ, β, w) represents the wind direction deviation factor under wind shear environment, and w represents the wind shear intensity coefficient.
[0020] In an exemplary embodiment, calculating the measured wind speed according to the wind speed reduction factor to obtain the compensated wind speed, and calculating the measured wind direction according to the wind direction offset factor to obtain the compensated wind direction, includes: calculating the compensated wind speed by the following formula:
[0021]
[0022] The compensation wind direction is calculated by the following formula:
[0023] γ corr =γ m -D;
[0024] Where S is the wind speed reduction factor, D is the wind direction deviation factor, V corr represents the compensated wind speed, γ corr Indicates the compensation wind direction, V m Indicates the measured wind speed, γ m Indicates the measured wind direction.
[0025] In an exemplary embodiment, adjusting the yaw angle of the wind turbine according to the compensation wind speed and the compensation wind direction includes: determining whether to adjust the current yaw angle of the wind turbine based on the compensation wind speed; in the case of determining to adjust the current yaw angle of the wind turbine, determining the adjustment angle of the current yaw angle according to the compensation wind direction; adjusting the current yaw angle of the wind turbine according to the adjustment angle to obtain an adjusted yaw angle, wherein the adjusted yaw angle is opposite to the compensation wind direction.
[0026] According to another aspect of an embodiment of the present application, a yaw error adjustment device is also provided, including: a determination module, used to determine a wind speed reduction factor and a wind direction offset factor based on monitoring data obtained by monitoring the wind turbine; a calculation module, used to calculate the measured wind speed according to the wind speed reduction factor to obtain a compensated wind speed, and to calculate the measured wind direction according to the wind direction offset factor to obtain a compensated wind direction, wherein the measured wind speed and the measured wind direction are measured by the wind measuring device; and an adjustment module, used to adjust the yaw angle of the wind turbine according to the compensated wind speed and the compensated wind direction.
[0027] According to another aspect of the embodiments of the present application, a computer-readable storage medium is provided, in which a computer program is stored, wherein the computer program is configured to execute the above-mentioned yaw error adjustment method when running.
[0028] According to another aspect of an embodiment of the present application, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the yaw error adjustment method through the computer program.
[0029] According to another aspect of the embodiments of the present application, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps of the method described in each embodiment of the present application are implemented.
[0030] Through the present application, the wind speed reduction factor and the wind direction deviation factor can be calculated according to the monitoring data of the wind turbine, the measured wind speed can be calculated according to the wind speed reduction factor, and the measured wind direction can be calculated according to the wind direction deviation factor to obtain the compensation wind speed and the compensation wind direction, and the yaw angle can be adjusted according to the compensation wind speed and the compensation wind direction. Thus, the problem of how to obtain accurate wind direction and wind speed in the related art to reduce the yaw error of the wind turbine is solved, and the effect of obtaining accurate wind direction and wind speed to reduce the yaw error of the wind turbine is achieved. BRIEF DESCRIPTION OF THE DRAWINGS
[0031] 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.
[0032] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.
[0033] Figure 1 It is a hardware structure block diagram of a computer terminal of a yaw error adjustment method according to an embodiment of the present application;
[0034] Figure 2 is a flow chart of a method for adjusting a yaw error according to an embodiment of the present application;
[0035] Figure 3 is a schematic diagram of a method for adjusting a yaw error according to an embodiment of the present application;
[0036] Figure 4 It is a structural block diagram of a yaw error adjustment device according to an embodiment of the present application. DETAILED DESCRIPTION
[0037] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.
[0038] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.
[0039] The method embodiments provided in the embodiments of the present application can be executed in a computer terminal or a similar computing device. Taking running on a computer terminal as an example, Figure 1 1 is a hardware structure block diagram of a computer terminal of a method for adjusting a yaw error according to an embodiment of the present application. Figure 1 As shown, the computer terminal may include one or more ( Figure 1 Only one is shown in the figure) a processor 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor (Central Processing Unit, MCU) or a programmable logic device (Field Programmable Gate Array, FPGA)) and a memory 104 for storing data, wherein the above-mentioned computer terminal may also include a transmission device 106 and an input and output device 108 for communication functions. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above-mentioned computer terminal. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations shown.
[0040] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the yaw error adjustment method in the embodiment of the present application. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, to implement the above method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the computer terminal via a network. Examples of the above network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.
[0041] A wireless network provided by a communication provider of a computer terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (Radio Frequency, referred to as RF) module, which is used to communicate with the Internet wirelessly.
[0042] In this embodiment, a method for adjusting a yaw error is provided. Figure 2 is a flow chart of a method for adjusting a yaw error according to an embodiment of the present application, such as Figure 2 As shown, the process includes the following steps:
[0043] Step S202, determining a wind speed reduction factor and a wind direction deviation factor according to monitoring data obtained by monitoring the wind turbine;
[0044] Step S204, calculating the measured wind speed according to the wind speed reduction factor to obtain a compensated wind speed, and calculating the measured wind direction according to the wind direction offset factor to obtain a compensated wind direction, wherein the measured wind speed and the measured wind direction are obtained by measuring the wind measuring device;
[0045] Step S206: adjusting the yaw angle of the wind turbine according to the compensated wind speed and the compensated wind direction.
[0046] Through the above steps, the wind speed reduction factor and the wind direction deviation factor can be calculated according to the monitoring data of the wind turbine, the measured wind speed can be calculated according to the wind speed reduction factor, and the measured wind direction can be calculated according to the wind direction deviation factor to obtain the compensation wind speed and the compensation wind direction, and the yaw angle can be adjusted according to the compensation wind speed and the compensation wind direction. Thus, the problem of how to obtain accurate wind direction and wind speed in the related art to reduce the yaw error of the wind turbine is solved, and the effect of obtaining accurate wind direction and wind speed to reduce the yaw error of the wind turbine is achieved.
[0047] In an exemplary embodiment, the monitoring data includes the instantaneous rotation angle of the wind rotor blades, the angle of the incoming wind direction relative to the central axis of the wind rotor, the angle of the wind measuring device relative to the central axis of the wind rotor, and the length of the wind rotor blades. The wind speed reduction factor and the wind direction deviation factor are determined according to the monitoring data obtained by monitoring the wind turbine, including: calculating the wind speed reduction factor by the following formula:
[0048]
[0049] The wind direction deviation factor is calculated by the following formula:
[0050]
[0051] Among them, S(θ,α) represents the wind speed reduction factor, D(θ,β) represents the wind direction deviation factor, θ represents the instantaneous rotation angle of the wind rotor blade, α represents the angle between the incoming wind direction and the central axis of the wind rotor, β represents the angle between the measuring direction of the wind measuring device and the central axis of the wind rotor, L represents the length of the wind rotor blade, and k represents the adjustment coefficient.
[0052] Optionally, in the above embodiment, the calculation formula of the wind speed reduction factor is based on the assumption that when the wind rotor blades face the incoming wind direction, the wind speed reduction effect is the strongest; when the wind rotor blades deviate from the incoming wind direction, the reduction effect gradually weakens. The wind speed reduction factor is calculated based on the real-time blade position so as to perform compensation calculation on the measured wind speed later.
[0053] The rotation of the wind rotor not only affects the wind speed, but also changes the direction of the incoming wind, causing the measured wind direction to deviate from the actual wind direction. In the above embodiment, the principle of the calculation formula of the wind direction offset factor is to assume that when the angle between the wind rotor blade and the measurement direction is small, the wind direction offset effect is most obvious; as the wind rotor blade deviates from the measurement direction, the wind direction offset effect weakens. By calculating the wind direction offset factor, it is convenient to perform real-time compensation for the measured wind direction.
[0054] In an exemplary embodiment, the monitoring data further includes an instantaneous rate of change of wind speed, and the method further includes: when it is determined that the wind turbulence intensity in the operating environment of the wind turbine is greater than a first preset value, calculating the wind speed reduction factor by the following formula:
[0055]
[0056] Among them, S(θ,α,u) represents the wind speed reduction factor in the wind turbulence environment, u represents the wind turbulence intensity coefficient, Indicates the instantaneous rate of change of wind speed.
[0057] Optionally, in the above embodiment, if the wind speed changes dramatically in a high turbulence intensity environment, the turbulence intensity will further affect the wind speed measurement data, so it is necessary to introduce a wind turbulence intensity coefficient into the wind speed reduction factor formula to compensate for the impact of turbulence on wind speed.
[0058] In an exemplary embodiment, the method further includes: when it is determined that the wind shear intensity in the operating environment of the wind turbine is greater than a second preset value, calculating the wind direction deviation factor by the following formula:
[0059]
[0060] Where D(θ, β, w) represents the wind direction deviation factor under wind shear environment, and w represents the wind shear intensity coefficient.
[0061] Optionally, in the above embodiment, if the wind shear phenomenon is obvious in a complex terrain wind field, the wind direction will change greatly with the height change. Therefore, it is necessary to introduce a wind shear intensity coefficient into the wind direction offset factor formula to compensate for the influence of wind shear on wind direction.
[0062] In an exemplary embodiment, calculating the measured wind speed according to the wind speed reduction factor to obtain the compensated wind speed, and calculating the measured wind direction according to the wind direction offset factor to obtain the compensated wind direction, includes: calculating the compensated wind speed by the following formula:
[0063]
[0064] The compensation wind direction is calculated by the following formula:
[0065] γ corr =γ m -D;
[0066] Where S is the wind speed reduction factor, D is the wind direction deviation factor, V corr represents the compensated wind speed, γ corr Indicates the compensation wind direction, V mIndicates the measured wind speed, γ m Indicates the measured wind direction.
[0067] In an exemplary embodiment, adjusting the yaw angle of the wind turbine according to the compensation wind speed and the compensation wind direction includes: determining whether to adjust the current yaw angle of the wind turbine based on the compensation wind speed; in the case of determining to adjust the current yaw angle of the wind turbine, determining the adjustment angle of the current yaw angle according to the compensation wind direction; adjusting the current yaw angle of the wind turbine according to the adjustment angle to obtain an adjusted yaw angle, wherein the adjusted yaw angle is opposite to the compensation wind direction.
[0068] Optionally, in the above embodiment, the wind direction determines the orientation of the blades of the wind turbine. By adjusting the blades of the wind turbine to face the incoming wind, it can be ensured that the wind turbine receives the maximum wind energy and improves power generation efficiency. When the wind direction changes, the wind turbine needs to adjust its yaw angle accordingly to keep the blades optimally aligned with the incoming wind direction, which helps to reduce energy losses caused by the failure of the blades to effectively capture wind energy. When adjusting the blades, it is necessary to consider whether the current wind speed is too high to avoid equipment damage or performance degradation due to excessively high wind speeds.
[0069] Obviously, the above-described embodiments are only a part of the embodiments of the present application, not all of the embodiments. In order to better understand the above-mentioned method for determining the power generation area, the above-mentioned process is described below in conjunction with the embodiments, but it is not intended to limit the technical solutions of the embodiments of the present application, specifically:
[0070] In an optional embodiment, in combination Figure 3 The yaw error adjustment method of the present application is further described. Figure 3 As shown, the specific steps include:
[0071] Step S301: Real-time data acquisition, using the SCADA (Supervisory Control And Data Acquisition) system to collect the wind rotor rotation angle θ and wind direction α in real time, and obtain the measurement data V of the anemometer m and γ m .
[0072] Step S302: Calculate the compensation factor, and calculate the wind speed reduction factor S (θ, α) and the wind direction deviation factor D (θ, β) respectively according to the rotation angle of the wind wheel and the relative position of the blade and the measuring device.
[0073] Step S303: Wind speed and wind direction compensation calculation, applying the calculated compensation factor to the measured data to generate the compensated wind speed Vcorr and wind direction corr
[0074] Step S304: yaw control adjustment, inputting the compensated wind speed and wind direction data into the yaw control system for real-time adjustment of the yaw angle of the wind turbine to ensure that the wind rotor is always facing the incoming wind direction.
[0075] Through the above embodiments, the wind speed reduction factor and the wind direction offset factor can be calculated, and then the strategy data of the anemometer can be corrected according to the wind speed reduction factor and the wind direction offset factor, so as to dynamically compensate for the blocking effect caused by the rotation of the wind rotor and improve the power generation efficiency of the wind turbine.
[0076] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods of each embodiment of the present application.
[0077] In this embodiment, a yaw error adjustment device is also provided, which is used to implement the above embodiments and preferred implementations, and will not be repeated here. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and conceivable.
[0078] Figure 4 : is a structural block diagram of a yaw error adjustment device according to an embodiment of the present application, the device comprising:
[0079] A determination module 42, configured to determine a wind speed reduction factor and a wind direction deviation factor according to monitoring data obtained by monitoring the wind turbine;
[0080] a calculation module 44, which calculates the measured wind speed according to the wind speed reduction factor to obtain a compensated wind speed, and calculates the measured wind direction according to the wind direction offset factor to obtain a compensated wind direction, wherein the measured wind speed and the measured wind direction are obtained by measuring the wind measuring device;
[0081] The adjustment module 46 is used to adjust the yaw angle of the wind turbine according to the compensated wind speed and the compensated wind direction.
[0082] Through the above device, the wind speed reduction factor and the wind direction deviation factor can be calculated according to the monitoring data of the wind turbine, the measured wind speed can be calculated according to the wind speed reduction factor, and the measured wind direction can be calculated according to the wind direction deviation factor to obtain the compensation wind speed and the compensation wind direction, and the yaw angle can be adjusted according to the compensation wind speed and the compensation wind direction. Thus, the problem of how to obtain accurate wind direction and wind speed in the related art to reduce the yaw error of the wind turbine is solved, and the effect of obtaining accurate wind direction and wind speed to reduce the yaw error of the wind turbine is achieved.
[0083] In an exemplary embodiment, the monitoring data includes the instantaneous rotation angle of the wind rotor blades, the angle of the incoming wind direction relative to the central axis of the wind rotor, the angle of the wind measuring device relative to the central axis of the wind rotor, and the length of the wind rotor blades. The determination module 42 is further used to calculate the wind speed reduction factor by the following formula:
[0084]
[0085] The wind direction deviation factor is calculated by the following formula:
[0086]
[0087] Among them, S(θ,α) represents the wind speed reduction factor, D(θ,β) represents the wind direction deviation factor, θ represents the instantaneous rotation angle of the wind rotor blade, α represents the angle between the incoming wind direction and the central axis of the wind rotor, β represents the angle between the measuring direction of the wind measuring device and the central axis of the wind rotor, L represents the length of the wind rotor blade, and k represents the adjustment coefficient.
[0088] In an exemplary embodiment, the monitoring data also includes an instantaneous rate of change of wind speed. The determination module 42 is further configured to: when it is determined that the wind turbulence intensity in the operating environment of the wind turbine is greater than a first preset value, calculate the wind speed reduction factor by the following formula:
[0089]
[0090] Among them, S(θ,α,u) represents the wind speed reduction factor in the wind turbulence environment, u represents the wind turbulence intensity coefficient, Indicates the instantaneous rate of change of wind speed.
[0091] In an exemplary embodiment, the determination module 42 is further used to: when it is determined that the wind shear intensity in the operating environment of the wind turbine is greater than a second preset value, calculate the wind direction deviation factor by the following formula:
[0092]
[0093] Where D(θ, β, w) represents the wind direction deviation factor under wind shear environment, and w represents the wind shear intensity coefficient.
[0094] In an exemplary embodiment, the calculation module 44 is further used to calculate the compensated wind speed using the following formula:
[0095]
[0096] The compensation wind direction is calculated by the following formula:
[0097] γ corr =γ m -D;
[0098] Where S is the wind speed reduction factor, D is the wind direction deviation factor, V corr represents the compensated wind speed, γ corr Indicates the compensation wind direction, V m Indicates the measured wind speed, γ m Indicates the measured wind direction.
[0099] In an exemplary embodiment, the adjustment module 46 is further used to: determine whether to adjust the current yaw angle of the wind turbine based on the compensated wind speed; in the case of determining to adjust the current yaw angle of the wind turbine, determine the adjustment angle of the current yaw angle according to the compensated wind direction; adjust the current yaw angle of the wind turbine according to the adjustment angle to obtain an adjusted yaw angle, wherein the adjusted yaw angle is opposite to the compensated wind direction.
[0100] An embodiment of the present application further provides a computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to execute the steps of any of the above method embodiments when running.
[0101] Optionally, in this embodiment, the storage medium may be configured to store a computer program for performing the following steps:
[0102] S1, determining a wind speed reduction factor and a wind direction deviation factor according to monitoring data obtained by monitoring the wind turbine;
[0103] S2, calculating the measured wind speed according to the wind speed reduction factor to obtain a compensated wind speed, and calculating the measured wind direction according to the wind direction offset factor to obtain a compensated wind direction, wherein the measured wind speed and the measured wind direction are obtained by measuring the wind measuring device;
[0104] S3: adjusting the yaw angle of the wind turbine according to the compensated wind speed and the compensated wind direction.
[0105] In an exemplary embodiment, the computer-readable storage medium may include, but is not limited to, various media that can store computer programs, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk.
[0106] For specific examples in this embodiment, reference may be made to the examples described in the above embodiments and exemplary implementation modes, and this embodiment will not be described in detail herein.
[0107] An embodiment of the present application further provides an electronic device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.
[0108] Optionally, in this embodiment, the processor may be configured to perform the following steps through a computer program:
[0109] S1, determining a wind speed reduction factor and a wind direction deviation factor according to monitoring data obtained by monitoring the wind turbine;
[0110] S2, calculating the measured wind speed according to the wind speed reduction factor to obtain a compensated wind speed, and calculating the measured wind direction according to the wind direction offset factor to obtain a compensated wind direction, wherein the measured wind speed and the measured wind direction are obtained by measuring the wind measuring device;
[0111] S3: adjusting the yaw angle of the wind turbine according to the compensated wind speed and the compensated wind direction.
[0112] In an exemplary embodiment, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.
[0113] An embodiment of the present application further provides a computer program product, comprising a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium stores a computer program product, and when the computer program is executed by a processor, the steps of the method described in each embodiment of the present application are implemented.
[0114] Optionally, in this embodiment, the above computer program may be configured to implement the following steps when executed by a processor:
[0115] S1, determining a wind speed reduction factor and a wind direction deviation factor according to monitoring data obtained by monitoring the wind turbine;
[0116] S2, calculating the measured wind speed according to the wind speed reduction factor to obtain a compensated wind speed, and calculating the measured wind direction according to the wind direction offset factor to obtain a compensated wind direction, wherein the measured wind speed and the measured wind direction are obtained by measuring the wind measuring device;
[0117] S3: adjusting the yaw angle of the wind turbine according to the compensated wind speed and the compensated wind direction.
[0118] For specific examples in this embodiment, reference may be made to the examples described in the above embodiments and exemplary implementation modes, and this embodiment will not be described in detail herein.
[0119] Obviously, those skilled in the art should understand that the above modules or steps of the present application can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order from that herein, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present application is not limited to any specific combination of hardware and software.
[0120] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.
Claims
1. A method for adjusting yaw error, characterized in that: Applied to a wind turbine, a wind measuring device is installed on the nacelle of the wind turbine, and the method comprises: Determining a wind speed reduction factor and a wind direction deviation factor according to monitoring data obtained by monitoring the wind turbine; Calculating the measured wind speed according to the wind speed reduction factor to obtain a compensated wind speed, and calculating the measured wind direction according to the wind direction offset factor to obtain a compensated wind direction, wherein the measured wind speed and the measured wind direction are obtained by measuring the wind measuring device; The yaw angle of the wind turbine is adjusted according to the compensated wind speed and the compensated wind direction.
2. The method according to claim 1, characterized in that The monitoring data includes the instantaneous rotation angle of the wind rotor blades, the angle of the incoming wind direction relative to the central axis of the wind rotor, the angle of the wind measuring device relative to the central axis of the wind rotor, and the length of the wind rotor blades. The wind speed reduction factor and the wind direction deviation factor are determined based on the monitoring data obtained by monitoring the wind turbine, including: The wind speed reduction factor is calculated by the following formula: The wind direction deviation factor is calculated by the following formula: Among them, S(θ,α) represents the wind speed reduction factor, D(θ,β) represents the wind direction deviation factor, θ represents the instantaneous rotation angle of the wind rotor blade, α represents the angle between the incoming wind direction and the central axis of the wind rotor, β represents the angle between the measuring direction of the wind measuring device and the central axis of the wind rotor, L represents the length of the wind rotor blade, and k represents the adjustment coefficient.
3. The method according to claim 2, characterized in that The monitoring data also includes the instantaneous rate of change of wind speed, and the method further includes: When it is determined that the wind turbulence intensity in the operating environment of the wind turbine is greater than a first preset value, the wind speed reduction factor is calculated by the following formula: Among them, S(θ,α,u) represents the wind speed reduction factor in the wind turbulence environment, u represents the wind turbulence intensity coefficient, Indicates the instantaneous rate of change of wind speed.
4. The method according to claim 2, characterized in that: The method further comprises: When it is determined that the wind shear intensity in the operating environment of the wind turbine is greater than a second preset value, the wind direction deviation factor is calculated by the following formula: Where D(θ, β, w) represents the wind direction deviation factor under wind shear environment, and w represents the wind shear intensity coefficient.
5. The method according to claim 1, characterized in that The method comprises: calculating the measured wind speed according to the wind speed reduction factor to obtain the compensated wind speed, and calculating the measured wind direction according to the wind direction offset factor to obtain the compensated wind direction, including: The compensation wind speed is calculated by the following formula: The compensation wind direction is calculated by the following formula: c corr =c m -D; Where S is the wind speed reduction factor, D is the wind direction deviation factor, V corr represents the compensated wind speed, γ corr Indicates the compensation wind direction, V m Indicates the measured wind speed, γ m Indicates the measured wind direction.
6. The method according to claim 1, characterized in that Adjusting the yaw angle of the wind turbine according to the compensated wind speed and the compensated wind direction includes: determining whether to adjust the current yaw angle of the wind turbine based on the compensated wind speed; and determining the adjustment angle of the current yaw angle according to the compensated wind direction if it is determined that the current yaw angle of the wind turbine is to be adjusted; The current yaw angle of the wind turbine is adjusted according to the adjustment angle to obtain an adjusted yaw angle, wherein the adjusted yaw angle is directly opposite to the compensation wind direction.
7. A yaw error adjustment device, characterized in that: include: A determination module, used to determine a wind speed reduction factor and a wind direction deviation factor according to monitoring data obtained by monitoring the wind turbine; a calculation module, calculating the measured wind speed according to the wind speed reduction factor to obtain a compensated wind speed, and calculating the measured wind direction according to the wind direction offset factor to obtain a compensated wind direction, wherein the measured wind speed and the measured wind direction are obtained by measuring the wind measuring device; An adjustment module is used to adjust the yaw angle of the wind turbine according to the compensated wind speed and the compensated wind direction.
8. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein the program executes the method according to any one of claims 1 to 6 when executed.
9. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to execute the method according to any one of claims 1 to 6 through the computer program.
10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.