Power adjusting method and device of wind generating set, terminal and medium

Abstract

The embodiment of the invention relates to the field of wind power generation, and provides a power adjusting method and device of a wind generating set, a terminal and a medium. Obtaining k target synthetic wind speed sets, obtaining state information of k sections in a laser radar of the wind generating set in a data acquisition period, and obtaining k target state information sets; determining a linear regression parameter set of a corresponding section according to the k target synthetic wind speed sets and the k target state information sets, and obtaining k target linear return parameter sets; determining gust information of corresponding sections according to the k target synthetic wind speed sets and the k target linear regression parameter sets to obtain k gust information; and the power of the wind generating set is adjusted according to the k gust information, and the purpose of reducing the limit load of the wind generating set under the gust working condition is achieved.

Description

Technical Field

[0001] The present application relates to the technical field of wind power generation, and in particular to a power regulation method, device, terminal and medium for a wind power generator set. Background Art

[0002] As a clean and renewable energy source, wind power generation is of great significance for addressing climate change and achieving energy transformation. With the advancement of technology, LiDAR technology has been widely used and developed in the field of wind energy due to its unique advantages. LiDAR technology uses laser pulses to measure the distance of the target and can obtain three-dimensional information of the target. In wind power applications, it emits short laser pulses into the atmosphere and then determines key parameters such as wind speed and direction based on the received reflected light beams. This process is not only efficient and accurate, but also provides continuous wind field data, which is crucial for optimizing the location selection of wind turbines and improving power generation efficiency. Because LiDAR technology can perform non-contact long-distance measurements, it is particularly suitable for wind resource assessment in complex or difficult-to-reach terrain conditions. This means that even in mountainous, hilly or offshore wind farms, LiDAR can provide reliable data support. In addition, LiDAR can also help monitor wind speed changes in real time, which is helpful for the operation management and maintenance of wind turbines, ensuring that the equipment works in the best condition, extending its service life and improving economic benefits.

[0003] According to the IEC 61400-1 standard, in order to ensure the safety and reliability of wind turbines, the maximum loads that wind turbines may face under extreme weather conditions must be considered. This includes evaluating the ability of wind turbines to withstand sudden strong winds or gusts. LiDAR technology plays an important role in this regard because it can provide real-time wind field data to help better understand the changing patterns of wind speed and wind direction, so as to design wind turbines that are more resistant to extreme climate events. Through remote sensing technology, LiDAR systems can capture wind speed changes at a longer distance, which is particularly important for detecting upcoming wind speed changes in advance. Obtaining this information in advance can help wind turbines respond in a timely manner, such as adjusting the angle of the blades to optimize energy capture efficiency or protecting the equipment from sudden mechanical stress. This early warning mechanism is crucial to extending the service life of wind turbines and improving their operating efficiency. Summary of the invention

[0004] The embodiments of the present application provide a power regulation method, device, terminal and medium for a wind turbine generator set, which can accurately determine the relevant gust information of the wind turbine generator set through the relevant wind speed information obtained by a laser radar, and use the gust information to perform power regulation, thereby achieving the purpose of reducing the ultimate load of the wind turbine generator set under gust conditions.

[0005] A first aspect of an embodiment of the present application provides a power regulation method for a wind turbine generator set, the method comprising:

[0006] Obtaining the synthetic wind speed of k sections in the laser radar of the wind turbine generator set during a data collection period, obtaining k target synthetic wind speed sets, and obtaining the state information of k sections in the laser radar of the wind turbine generator set during the data collection period, obtaining k target state information sets;

[0007] Determine a linear regression parameter set of a corresponding cross section according to the k target synthetic wind speed sets and the k target state information sets, and obtain k target linear regression parameter sets;

[0008] Determine the gust information of the corresponding cross section according to the k target synthetic wind speed sets and the k target linear regression parameter sets to obtain k gust information;

[0009] The power of the wind turbine generator set is adjusted according to the k pieces of gust information.

[0010] In this example, by obtaining the synthetic wind speed of k sections in the laser radar of the wind turbine during the data collection period, k target synthetic wind speed sets are obtained, and by obtaining the state information of k sections in the laser radar of the wind turbine during the data collection period, k target state information sets are obtained. According to the k target synthetic wind speed sets and the k target state information sets, the linear regression parameter sets of the corresponding sections are determined to obtain k target linear regression parameter sets. According to the k target synthetic wind speed sets and the k target linear regression parameter sets, the gust information of the corresponding section is determined to obtain k gust information. The power of the wind turbine is adjusted according to the k gust information. Therefore, the relevant gust information of the wind turbine can be accurately determined through the relevant wind speed information obtained by the laser radar, and the gust information is used to adjust the power, thereby achieving the purpose of reducing the ultimate load of the wind turbine under gust conditions.

[0011] A second aspect of an embodiment of the present application provides a power regulation device for a wind turbine generator set, the device comprising:

[0012] An acquisition unit is used to acquire the synthetic wind speed of k sections in the laser radar of the wind turbine generator set within a data collection period to obtain k target synthetic wind speed sets, and to acquire the state information of k sections in the laser radar of the wind turbine generator set within the data collection period to obtain k target state information sets;

[0013] A first determination unit is used to determine a linear regression parameter set of a corresponding cross section according to the k target synthetic wind speed sets and the k target state information sets to obtain k target linear regression parameter sets;

[0014] A second determination unit is used to determine the gust information of the corresponding cross section according to the k target synthetic wind speed sets and the k target linear regression parameter sets to obtain k gust information;

[0015] The regulating unit is used to regulate the power of the wind turbine generator set according to the k gust information.

[0016] A third aspect of an embodiment of the present application provides a terminal, comprising a processor, an input device, an output device and a memory, wherein the processor, input device, output device and memory are interconnected, wherein the memory is used to store a computer program, the computer program comprises program instructions, and the processor is configured to call the program instructions to execute the step instructions in the first aspect of the embodiment of the present application.

[0017] The fourth aspect of the embodiments of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute part or all of the steps described in the first aspect of the embodiments of the present application.

[0018] A fifth aspect of the embodiments of the present application provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute some or all of the steps described in the first aspect of the embodiments of the present application. The computer program product may be a software installation package. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] 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, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0020] Figure 1 A schematic flow chart of a power regulation method for a wind turbine generator set is provided for an embodiment of the present application;

[0021] Figure 2 A schematic diagram for comparing the tower bottom load effect after power adjustment is provided for the embodiment of the present application;

[0022] Figure 3 A schematic diagram of the structure of a terminal provided in an embodiment of the present application;

[0023] Figure 4A schematic structural diagram of a power regulation device for a wind turbine generator set is provided for an embodiment of the present application. DETAILED DESCRIPTION

[0024] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions 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 are within the scope of protection of this application.

[0025] The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices.

[0026] Reference to "embodiments" in this application means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described in this application may be combined with other embodiments.

[0027] See also Figure 1 , Figure 1 The present invention provides a schematic flow chart of a power regulation method for a wind turbine generator set. Figure 1 As shown, the method includes:

[0028] 101. Obtain the synthetic wind speed of k sections in the laser radar of the wind turbine generator set during the data collection period to obtain k target synthetic wind speed sets, and obtain the state information of k sections in the laser radar of the wind turbine generator set during the data collection period to obtain k target state information sets.

[0029] The laser radar may include 5 sections, and the data collection period may be 60 seconds. Within 60 seconds, there are multiple collection moments. The laser radar has 4 beams in each section, for example, the first beam speed, the second beam speed, the third beam, and the fourth beam speed, which are used to collect gusts.

[0030] The line-of-sight wind speed of the cross section at each acquisition moment can be extracted respectively, and the synthetic wind speed at each acquisition moment can be determined based on the line-of-sight wind speed, thereby obtaining a target synthetic wind speed set for the cross section within the data acquisition period.

[0031] When acquiring the state information of the cross section within the data acquisition cycle, it can acquire the state information at each acquisition moment, and fuse the state information at each acquisition moment to obtain the target state at each acquisition moment, and finally obtain a target state information set.

[0032] When the state information at each acquisition moment is fused, the following formula may be used for processing:

[0033] s_status=status_los1+status_los2+status_los3+status_los4,

[0034] Among them, s_status is the target status information, status_los1 is the first status information, status_los2 is the second status information, status_los3 is the third status information, status_los4 is the fourth status information, and the status information corresponds to the line of sight wind speed one by one. For example, the first status information corresponds to the first line of sight wind speed, the second status information corresponds to the second line of sight wind speed, the third status information corresponds to the third line of sight wind speed, and the fourth status information corresponds to the fourth line of sight wind speed.

[0035] 102. Determine a linear regression parameter set of a corresponding cross section according to the k target synthetic wind speed sets and the k target state information sets to obtain k target linear regression parameter sets.

[0036] The target synthetic wind speed set and the corresponding target state information set may be vector-constructed according to the collection order in the data collection period to obtain a first time vector and a first synthetic wind speed vector, and the first time vector and the first synthetic wind speed vector are used to perform linear regression parameter calculation to obtain a target linear regression parameter set. The target linear regression parameter set includes linear regression values ​​K and R 2 .

[0037] 103. Determine the gust information of the corresponding cross section according to the k target synthetic wind speed sets and the k target linear regression parameter sets to obtain k gust information.

[0038] The mean value of the synthetic wind speed corresponding to each target synthetic wind speed set in the k target synthetic wind speed sets can be obtained to obtain the k mean values ​​of the synthetic wind speeds. Specifically, the mean synthetic wind speed can be determined by the method shown in the following formula:

[0039]

[0040] Among them, u_60 is the mean value of synthetic wind speed, u_60 old It is the mean value of the synthetic wind speed at the last collection moment.

[0041] In a single section, if the mean of the synthetic wind speed is greater than the synthetic wind speed threshold, and the linear regression value K is greater than the corresponding threshold, R 2 If it is greater than the corresponding threshold, the gust information of the cross section is determined to have gusts, otherwise, there are no gusts, so that k gust information can be obtained.

[0042] 104. Adjust the power of the wind turbine generator set according to the k pieces of gust information.

[0043] The gust protection information may be determined according to the k gust information, and the power regulation information may be determined according to the gust protection information, and finally the power of the wind turbine generator set may be regulated by using the power regulation information.

[0044] In this example, by obtaining the synthetic wind speed of k sections in the laser radar of the wind turbine during the data collection period, k target synthetic wind speed sets are obtained, and by obtaining the state information of k sections in the laser radar of the wind turbine during the data collection period, k target state information sets are obtained. According to the k target synthetic wind speed sets and the k target state information sets, the linear regression parameter sets of the corresponding sections are determined to obtain k target linear regression parameter sets. According to the k target synthetic wind speed sets and the k target linear regression parameter sets, the gust information of the corresponding section is determined to obtain k gust information. The power of the wind turbine is adjusted according to the k gust information. Therefore, the relevant gust information of the wind turbine can be accurately determined through the relevant wind speed information obtained by the laser radar, and the gust information is used to adjust the power, thereby achieving the purpose of reducing the ultimate load of the wind turbine under gust conditions.

[0045] In a possible implementation, the step of obtaining the synthetic wind speeds of k cross sections in a laser radar of a wind turbine generator set within a data collection period to obtain k target synthetic wind speed sets includes:

[0046] A1. Obtain the line-of-sight wind speed of the target section at n acquisition moments within the data acquisition cycle to obtain n line-of-sight wind speed sets, and the target section is any one of the k sections;

[0047] A2. Determine the synthetic wind speeds corresponding to the n sight line wind speed sets to obtain the target synthetic wind speed set;

[0048] A3. Repeat the above steps of obtaining the line-of-sight wind speed of the target section at n collection moments within the data collection period to obtain n line-of-sight wind speed sets, and determining the corresponding synthetic wind speed according to the n line-of-sight wind speed sets to obtain the target synthetic wind speed set, until the synthetic wind speeds of k sections within the data collection period are obtained to obtain k target synthetic wind speed sets.

[0049] The line-of-sight wind speed set includes a first line-of-sight wind speed corresponding to the first light beam, a second line-of-sight wind speed corresponding to the second light beam, a third line-of-sight wind speed corresponding to the third light beam, and a fourth line-of-sight wind speed corresponding to the fourth light beam.

[0050] The line-of-sight wind speed in the line-of-sight wind speed set can be used to calculate the upper plane composite wind speed and the lower plane composite wind speed of the corresponding section, and the upper plane composite wind speed and the lower plane composite wind speed are fused to obtain the target composite wind speed.

[0051] In this example, the upper plane composite wind speed and the lower plane composite wind speed are obtained by calculation, and the upper plane composite wind speed and the lower plane composite wind speed are fused to obtain the target composite wind speed, thereby improving the accuracy of determining the target composite wind speed.

[0052] In a possible implementation, determining the synthetic wind speeds corresponding to the n sight line wind speed sets to obtain the target synthetic wind speed set includes:

[0053] B1. Determine the corresponding upper plane composite wind speed and lower plane composite wind speed according to the target sight line wind speed information set, wherein the target sight line wind speed set is any one of n sight line wind speed sets;

[0054] B2. Fusing the upper plane composite wind speed and the lower plane composite wind speed to obtain a target composite wind speed;

[0055] B3. Repeat the above steps of determining the upper plane composite wind speed and the lower plane composite wind speed of the corresponding section according to the target line of sight wind speed information set, where the target line of sight wind speed set is any one of k line of sight wind speed sets, until the upper plane composite wind speed and the lower plane composite wind speed are merged to obtain the target composite wind speed, until the composite wind speed corresponding to each line of sight wind speed set is obtained to obtain the target composite wind speed set.

[0056] Among them, the elements in the target line-of-sight wind speed information set include: a first line-of-sight wind speed corresponding to the first light beam, a second line-of-sight wind speed corresponding to the second light beam, a third line-of-sight wind speed corresponding to the third light beam, and a fourth line-of-sight wind speed corresponding to the fourth light beam.

[0057] The composite wind speed on the upper plane of the corresponding section can be determined based on the target line of sight wind speed information set by the method shown in the following formula:

[0058]

[0059] Among them, u_los1 is the first line of sight wind speed, u_los2 is the second line of sight wind speed, u_los3 is the third line of sight wind speed, and u_los4 is the fourth line of sight wind speed. Determine the section angle parameter of the corresponding section for the target line of sight wind speed information set, θ t Determine the first section angle of the corresponding section for the target line of sight wind speed information set, u_up is the composite wind speed of the upper plane, u_down is the composite wind speed of the lower plane, θ t =15°,θ s =12.5°.

[0060] The upper plane composite wind speed and the lower plane composite wind speed may be fused to obtain a target composite wind speed by using the method shown in the following formula:

[0061]

[0062] Among them, s_wind is the target composite wind speed, u_up is the composite wind speed of the upper plane, and u_down is the composite wind speed of the lower plane.

[0063] In a possible implementation, determining a linear regression parameter set of a corresponding cross section according to the k target synthetic wind speed sets and the k target state information sets to obtain k target linear regression parameter sets includes:

[0064] C1. constructing a vector according to the first target synthetic wind speed set and the corresponding first target state information set in the data collection order of the data collection period to obtain a first time vector and a first synthetic wind speed vector, wherein the first target synthetic wind speed set is any one of k target synthetic wind speed sets;

[0065] C2. Calculate linear regression parameters according to the first time vector and the first synthetic wind speed vector to obtain a target linear regression parameter set;

[0066] C3. Repeat the above method of constructing vectors according to the first target synthetic wind speed set and the corresponding first target state information set in the order of data collection period to obtain the first time vector and the first synthetic wind speed vector, and then calculating linear regression parameters according to the first time vector and the first synthetic wind speed vector to obtain the target linear regression parameter set, until k target linear regression parameter sets are obtained.

[0067] The first time vector and the first synthetic wind speed vector may be constructed as follows:

[0068] Define three arrays, "X", "Y", and "STATUS", each with 8 points. X represents the time series, Y represents the wind speed corresponding to the time series, and STATUS represents the status bit corresponding to the time series.

[0069] X={7,6,5,4,3,2,1,0}

[0070] Y={0,0,0,0,0,0,0,0}

[0071] STATUS={0,0,0,0,0,0,0,0}

[0072] When the target status information s_status of a single section is greater than 1.5, the synthetic wind speed data s_wind and the corresponding status information s_status are written into the array "Y", "STATUS" by sliding every second (at each acquisition moment), otherwise 0, 0 is written.

[0073] Define two new arrays B "X_NEW" and "Y_NEW", each with 5 points.

[0074] X_NEW={0,0,0,0,0}

[0075] Y_NEW={0,0,0,0,0}

[0076] Take 5 valid points from the previous array and put them into the new array (STATUS>1.5 is considered valid). If there are no 5 valid points, K and R 2 Assign a value of 0.

[0077] Record the values ​​of the new arrays X_NEW and Y_NEW, obtain x1, x2, x3, x4, x5 and y1, y2, y3, y4, y5, and calculate K and R of linear regression 2 , calculated as follows:

[0078]

[0079] Get the regression equation

[0080] Y fit =K*X_NEW+b

[0081]

[0082]

[0083] Finally, the linear regression parameters K and R in the corresponding target linear regression parameter set are obtained. 2 .

[0084] In a possible implementation, adjusting the power of the wind turbine generator set according to the k pieces of gust information includes:

[0085] D1. determining gust protection information according to k pieces of gust information;

[0086] D2. determining power adjustment information according to the gust protection information;

[0087] D3. Regulate the power of the wind turbine generator set according to the power regulation information.

[0088] If, among the k gust information, there is gust information that the number of gusts is greater than or equal to a preset number threshold, the gust protection information is determined to be gust protection for the wind turbine generator set, otherwise the gust protection information is empty, that is, no gust protection is performed. Specifically, the preset number threshold may be 3, and the k value may be 5.

[0089] If the gust protection information is to perform gust protection on the wind turbine generator set, the power regulation information is to reduce the power to 20% of the rated power for 60 seconds. The power regulation information is used to regulate the power of the wind turbine generator set.

[0090] like Figure 2 As shown, Figure 2 A schematic diagram showing the effect comparison of the load after power adjustment is shown. Figure 2 The blue line is the tower bottom load timing of a common wind turbine set that does not adopt the power regulation method of the embodiment of the present application, and the black line is the tower bottom load timing of a wind turbine set that adopts the power regulation method of the embodiment of the present application, which can greatly reduce the ultimate load of the tower of the wind turbine set.

[0091] For the above embodiments, please refer to Figure 3 , Figure 3 A schematic diagram of the structure of a terminal provided in an embodiment of the present application, such as Figure 3 As shown, it includes a processor, an input device, an output device and a memory, which are connected to each other, wherein the memory is used to store a computer program, the computer program includes program instructions, the processor is configured to call the program instructions, and the program includes instructions for executing the following steps;

[0092] Obtaining the synthetic wind speed of k sections in the laser radar of the wind turbine generator set during a data collection period, obtaining k target synthetic wind speed sets, and obtaining the state information of k sections in the laser radar of the wind turbine generator set during the data collection period, obtaining k target state information sets;

[0093] Determine a linear regression parameter set of a corresponding cross section according to the k target synthetic wind speed sets and the k target state information sets, and obtain k target linear regression parameter sets;

[0094] Determine the gust information of the corresponding cross section according to the k target synthetic wind speed sets and the k target linear regression parameter sets to obtain k gust information;

[0095] The power of the wind turbine generator set is adjusted according to the k pieces of gust information.

[0096] The above mainly introduces the scheme of the embodiment of the present application from the perspective of the execution process on the method side. It is understandable that in order to realize the above functions, the terminal includes a hardware structure and / or software module corresponding to the execution of each function. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of each example described in the embodiments provided herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0097] The embodiment of the present application can divide the terminal into functional units according to the above method example. For example, each functional unit can be divided according to each function, or two or more functions can be integrated into one processing unit. The above integrated unit can be implemented in the form of hardware or in the form of software functional units. It should be noted that the division of units in the embodiment of the present application is schematic and is only a logical function division. There may be other division methods in actual implementation.

[0098] In line with the above, see Figure 4 , Figure 4 The present invention provides a schematic diagram of a power regulation device for a wind turbine generator set. Figure 4 As shown, the device comprises:

[0099] The acquisition unit 301 is used to acquire the synthetic wind speed of k sections in the laser radar of the wind turbine generator set within the data collection period to obtain k target synthetic wind speed sets, and to acquire the state information of k sections in the laser radar of the wind turbine generator set within the data collection period to obtain k target state information sets;

[0100] A first determining unit 302 is used to determine a linear regression parameter set of a corresponding cross section according to the k target synthetic wind speed sets and the k target state information sets to obtain k target linear regression parameter sets;

[0101] A second determining unit 303 is used to determine the gust information of the corresponding cross section according to the k target synthetic wind speed sets and the k target linear regression parameter sets to obtain k gust information;

[0102] The regulating unit 304 is used to regulate the power of the wind turbine generator set according to the k pieces of gust information.

[0103] In a possible implementation, in acquiring the synthetic wind speeds of k cross sections in the laser radar of the wind turbine generator set within a data collection period to obtain k target synthetic wind speed sets, the acquiring unit 301 is specifically used to:

[0104] Obtain the line-of-sight wind speed of the target section at n acquisition moments within the data acquisition cycle, and obtain n line-of-sight wind speed sets, where the target section is any one of the k sections;

[0105] Determine the synthetic wind speeds corresponding to the n sight line wind speed sets to obtain the target synthetic wind speed set;

[0106] Repeat the above steps of obtaining the line-of-sight wind speed of the target section at n collection moments within the data collection period to obtain n line-of-sight wind speed sets, and determining the corresponding synthetic wind speed according to the n line-of-sight wind speed sets to obtain the target synthetic wind speed set, until the synthetic wind speeds of k sections within the data collection period are obtained to obtain k target synthetic wind speed sets.

[0107] In a possible implementation, in determining the synthetic wind speeds corresponding to the n sight line wind speed sets and obtaining the target synthetic wind speed set, the acquisition unit 301 is specifically used to:

[0108] Determine the corresponding upper plane composite wind speed and lower plane composite wind speed according to the target sight line wind speed information set, wherein the target sight line wind speed set is any one of the n sight line wind speed sets;

[0109] The upper plane composite wind speed and the lower plane composite wind speed are fused to obtain a target composite wind speed;

[0110] Repeat the above steps of determining the upper plane composite wind speed and the lower plane composite wind speed of the corresponding section according to the target line of sight wind speed information set, where the target line of sight wind speed set is any one of k line of sight wind speed sets, until the upper plane composite wind speed and the lower plane composite wind speed are merged to obtain the target composite wind speed, until the composite wind speed corresponding to each line of sight wind speed set is obtained to obtain the target composite wind speed set.

[0111] In a possible implementation, the elements in the target line of sight wind speed information set include: a first line of sight wind speed corresponding to the first light beam, a second line of sight wind speed corresponding to the second light beam, a third line of sight wind speed corresponding to the third light beam, and a fourth line of sight wind speed corresponding to the fourth light beam. In determining the upper plane composite wind speed and the lower plane composite wind speed of the corresponding cross section according to the target line of sight wind speed information set, the acquisition unit 301 is specifically used to:

[0112] The composite wind speed on the upper plane of the corresponding section is determined according to the target line of sight wind speed information set by the method shown in the following formula:

[0113]

[0114]

[0115] Among them, u_los1 is the first line of sight wind speed, u_los2 is the second line of sight wind speed, u_los3 is the third line of sight wind speed, and u_los4 is the fourth line of sight wind speed. Determine the section angle parameter of the corresponding section for the target line of sight wind speed information set, θ t Determine the first section angle of the corresponding section for the target line of sight wind speed information set, u_up is the composite wind speed of the upper plane, and u_down is the composite wind speed of the lower plane.

[0116] In a possible implementation, the first determining unit 302 is specifically configured to:

[0117] According to the first target synthetic wind speed set and the corresponding first target state information set, vector construction is performed in accordance with the collection order of the data collection period to obtain a first time vector and a first synthetic wind speed vector, wherein the first target synthetic wind speed set is any one of the k target synthetic wind speed sets;

[0118] Perform linear regression parameter calculation according to the first time vector and the first synthetic wind speed vector to obtain a target linear regression parameter set;

[0119] Repeat the above method of constructing vectors according to the first target synthetic wind speed set and the corresponding first target state information set in the collection order of the data collection period to obtain the first time vector and the first synthetic wind speed vector, and calculating linear regression parameters according to the first time vector and the first synthetic wind speed vector to obtain the target linear regression parameter set, until k target linear regression parameter sets are obtained.

[0120] In a possible implementation, the adjusting unit 304 is specifically configured to:

[0121] Determine gust protection information according to the k gust information;

[0122] determining power adjustment information according to the gust protection information;

[0123] The power of the wind turbine generator set is adjusted according to the power adjustment information.

[0124] An embodiment of the present application also provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any one of the power regulation methods for wind turbines recorded in the above method embodiments.

[0125] An embodiment of the present application also provides a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program enables a computer to execute part or all of the steps of any one of the power regulation methods for wind turbines recorded in the above method embodiments.

[0126] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0127] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0128] In the several embodiments provided in the present application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the device or unit can be electrical or other forms.

[0129] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0130] In addition, the functional units in the various embodiments of the application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated units may be implemented in the form of hardware or in the form of software program modules.

[0131] If the integrated unit is implemented in the form of a software program module and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a memory, including a number of instructions to enable a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned memory includes: U disk, read-only memory (ROM), random access memory (RAM), mobile hard disk, disk or optical disk and other media that can store program codes.

[0132] A person of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable memory, which can include: a flash drive, a read-only memory, a random access memory, a magnetic disk or an optical disk, etc.

[0133] The embodiments of the present application are introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method and core idea of ​​the present application. At the same time, for general technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A power regulation method for a wind turbine generator set, characterized in that: The method comprises: Obtaining the synthetic wind speed of k sections in the laser radar of the wind turbine generator set during a data collection period, obtaining k target synthetic wind speed sets, and obtaining the state information of k sections in the laser radar of the wind turbine generator set during the data collection period, obtaining k target state information sets; Determine a linear regression parameter set of a corresponding cross section according to the k target synthetic wind speed sets and the k target state information sets, and obtain k target linear regression parameter sets; Determine the gust information of the corresponding cross section according to the k target synthetic wind speed sets and the k target linear regression parameter sets to obtain k gust information; The power of the wind turbine generator set is adjusted according to the k pieces of gust information.

2. The power regulation method of a wind turbine generator set according to claim 1, characterized in that: The step of obtaining the synthetic wind speed of k cross sections in the laser radar of the wind turbine generator set within a data collection period to obtain a set of k target synthetic wind speeds includes: Obtain the line-of-sight wind speed of the target section at n acquisition moments within the data acquisition cycle, and obtain n line-of-sight wind speed sets, where the target section is any one of the k sections; Determine the synthetic wind speeds corresponding to the n sight line wind speed sets to obtain the target synthetic wind speed set; Repeat the above steps of obtaining the line-of-sight wind speed of the target section at n collection moments within the data collection period to obtain n line-of-sight wind speed sets, and determining the corresponding synthetic wind speed according to the n line-of-sight wind speed sets to obtain the target synthetic wind speed set, until the synthetic wind speeds of k sections within the data collection period are obtained to obtain k target synthetic wind speed sets.

3. The power regulation method of a wind turbine generator set according to claim 2, characterized in that: The step of determining the synthetic wind speeds corresponding to the n sight line wind speed sets to obtain the target synthetic wind speed set includes: Determine the corresponding upper plane composite wind speed and lower plane composite wind speed according to the target sight line wind speed information set, wherein the target sight line wind speed set is any one of the n sight line wind speed sets; The upper plane composite wind speed and the lower plane composite wind speed are fused to obtain a target composite wind speed; Repeat the above steps of determining the upper plane composite wind speed and the lower plane composite wind speed of the corresponding section according to the target line of sight wind speed information set, where the target line of sight wind speed set is any one of k line of sight wind speed sets, until the upper plane composite wind speed and the lower plane composite wind speed are merged to obtain the target composite wind speed, until the composite wind speed corresponding to each line of sight wind speed set is obtained to obtain the target composite wind speed set.

4. The power regulation method of a wind turbine generator set according to claim 3, characterized in that: The elements in the target line-of-sight wind speed information set include: a first line-of-sight wind speed corresponding to the first light beam, a second line-of-sight wind speed corresponding to the second light beam, a third line-of-sight wind speed corresponding to the third light beam, and a fourth line-of-sight wind speed corresponding to the fourth light beam. The determining of the upper plane composite wind speed and the lower plane composite wind speed of the corresponding cross section according to the target line-of-sight wind speed information set includes: The composite wind speed on the upper plane of the corresponding section is determined according to the target line of sight wind speed information set by the method shown in the following formula: Among them, u_los1 is the first line of sight wind speed, u_los2 is the second line of sight wind speed, u_los3 is the third line of sight wind speed, and u_los4 is the fourth line of sight wind speed. Determine the section angle parameter of the corresponding section for the target line of sight wind speed information set, θ t Determine the first section angle of the corresponding section for the target line of sight wind speed information set, u_up is the composite wind speed of the upper plane, and u_down is the composite wind speed of the lower plane.

5. The power regulation method of a wind turbine generator set according to any one of claims 1 to 4, characterized in that: The step of determining a linear regression parameter set of a corresponding cross section according to the k target synthetic wind speed sets and the k target state information sets to obtain k target linear regression parameter sets includes: Performing vector construction according to the first target synthetic wind speed set and the corresponding first target state information set in the data collection order of the data collection period to obtain a first time vector and a first synthetic wind speed vector, wherein the first target synthetic wind speed set is any one of the k target synthetic wind speed sets; Perform linear regression parameter calculation according to the first time vector and the first synthetic wind speed vector to obtain a target linear regression parameter set; Repeat the above method of constructing vectors according to the first target synthetic wind speed set and the corresponding first target state information set in the collection order of the data collection period to obtain the first time vector and the first synthetic wind speed vector, and calculating linear regression parameters according to the first time vector and the first synthetic wind speed vector to obtain the target linear regression parameter set, until k target linear regression parameter sets are obtained.

6. The power regulation method of a wind turbine generator set according to claim 5, characterized in that: The step of adjusting the power of the wind turbine generator set according to the k pieces of gust information includes: Determine gust protection information according to the k gust information; determining power adjustment information according to the gust protection information; The power of the wind turbine generator set is adjusted according to the power adjustment information.

7. A power regulating device for a wind turbine generator set, characterized in that: The device comprises: An acquisition unit is used to acquire the synthetic wind speed of k sections in the laser radar of the wind turbine generator set within a data collection period to obtain k target synthetic wind speed sets, and to acquire the state information of k sections in the laser radar of the wind turbine generator set within the data collection period to obtain k target state information sets; A first determination unit is used to determine a linear regression parameter set of a corresponding cross section according to the k target synthetic wind speed sets and the k target state information sets to obtain k target linear regression parameter sets; A second determination unit is used to determine the gust information of the corresponding cross section according to the k target synthetic wind speed sets and the k target linear regression parameter sets to obtain k gust information; The regulating unit is used to regulate the power of the wind turbine generator set according to the k gust information.

8. The power regulating device of a wind turbine generator set according to claim 7, characterized in that: In the aspect of obtaining the synthetic wind speeds of k cross sections in the laser radar of the wind turbine generator set within a data collection period to obtain k target synthetic wind speed sets, the obtaining unit is specifically used for: Obtain the line-of-sight wind speed of the target section at n acquisition moments within the data acquisition cycle, and obtain n line-of-sight wind speed sets, where the target section is any one of the k sections; Determine the synthetic wind speeds corresponding to the n sight line wind speed sets to obtain the target synthetic wind speed set; Repeat the above steps of obtaining the line-of-sight wind speed of the target section at n collection moments within the data collection period to obtain n line-of-sight wind speed sets, and determining the corresponding synthetic wind speed according to the n line-of-sight wind speed sets to obtain the target synthetic wind speed set, until the synthetic wind speeds of k sections within the data collection period are obtained to obtain k target synthetic wind speed sets.

9. A terminal, characterized in that: The method comprises a processor, an input device, an output device and a memory, wherein the processor, the input device, the output device and the memory are interconnected, wherein the memory is used to store a computer program, the computer program comprises program instructions, and the processor is configured to call the program instructions to execute the method according to any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, wherein the computer program includes program instructions, and when the program instructions are executed by a processor, the processor is caused to perform the method according to any one of claims 1 to 6.

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