Blade adjustment method, device and wind power generation system for wind power generator
By performing secondary processing on the blade adjustment method of wind turbines, the target pitch angle and yaw direction are determined, solving the problem of blade damage under strong wind conditions and achieving higher adjustment accuracy and power generation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HEFEI SUNGROW RENEWABLE ENERGY SCI & TECH CO LTD
- Filing Date
- 2023-03-15
- Publication Date
- 2026-05-12
AI Technical Summary
In existing technologies, wind turbine blades are not accurately adjusted under conditions such as strong winds, leading to blade damage and frequent adjustments that reduce power generation and lifespan.
By performing secondary processing on the pitch angle and yaw direction for multiple future time periods, the target pitch angle and yaw direction are determined, and proactive actions are taken to avoid damage. The optimal adjustment scheme is determined based on predicted wind speed, power difference, and sensitivity.
It improves the accuracy and precision of blade adjustment, avoids unnecessary adjustments, extends the lifespan of wind turbine structural components, and increases power generation.
Smart Images
Figure CN116221018B_ABST
Abstract
Description
Technical Field
[0001] This application belongs to the field of wind power generation technology, and in particular relates to a method, device and system for adjusting the blades of a wind turbine. Background Technology
[0002] During wind turbine operation, adjustments to the turbine blades are necessary when encountering strong winds. Existing technology uses a prediction system to output predicted wind data for future periods based on current wind data, and then uses the control system to predict the pitch angle and yaw direction for those future periods. However, the accuracy and precision of the predicted pitch angle and yaw direction obtained by this technology are not high, and it cannot provide effective pitch and wind-fighting strategies for the wind turbine blades. This may lead to blade damage in sudden situations; moreover, frequent adjustments reduce the lifespan of various structural components of the wind turbine, thus reducing power generation. Summary of the Invention
[0003] This application aims to at least solve one of the technical problems existing in the prior art. To this end, this application proposes a method, device, and wind power generation system for adjusting the blades of a wind turbine, which can predict the blade adjustment target, so that the blades move in advance, and the control accuracy and precision are high, so as to avoid blade damage in case of emergencies, while avoiding unnecessary adjustments, extending the service life of various structural components of the wind turbine, and increasing wind power generation.
[0004] In a first aspect, this application provides a method for adjusting the blades of a wind turbine, the method comprising:
[0005] Based on the first pitch angle and first yaw direction corresponding to each time period in multiple future time periods, multiple blade adjustment schemes are determined, each blade adjustment scheme including a second pitch angle and a second yaw direction; wherein, the first pitch angle and the first yaw direction are determined based on the actual wind data of the current time period;
[0006] Based on the second pitch angle and the second yaw direction, the first predicted power of the wind turbine corresponding to each of the blade adjustment schemes is determined.
[0007] Based on the predicted wind speed, rated wind speed, maximum first predicted power among multiple first predicted powers, first actual output power of the current period, and second predicted power of the wind turbine corresponding to the target future period, the target pitch angle and target yaw direction corresponding to the target future period are obtained; the predicted wind speed is determined based on the actual wind data, and the second predicted power is determined based on the first pitch angle and first yaw direction corresponding to the target future period;
[0008] The blades of the wind turbine are adjusted based on the target pitch angle and the target yaw direction.
[0009] According to the wind turbine blade adjustment method provided in this application embodiment, by performing secondary processing on the first pitch angle and first yaw direction corresponding to each time period in multiple future time periods, the target pitch angle and target yaw direction corresponding to the target future time period are determined. Then, the wind turbine blades are adjusted based on the target pitch angle and target yaw direction. This method can predict the blade adjustment target, enabling the blades to move ahead of time with high accuracy and precision, thus avoiding blade damage in case of emergencies. It also avoids unnecessary adjustments, extends the lifespan of various structural components of the wind turbine, and increases wind power generation.
[0010] One embodiment of the wind turbine blade adjustment method of this application includes obtaining the target pitch angle and target yaw direction corresponding to the target future time period based on the predicted wind speed, rated wind speed, maximum first predicted power among the plurality of first predicted power periods, first actual output power of the current time period, and second predicted power corresponding to the target future time period.
[0011] When the predicted wind speed is greater than the rated wind speed, a first difference between the first actual output power and the maximum first predicted power, and a second difference between the first actual output power and the second predicted power are obtained.
[0012] Based on the maximum difference between the first difference and the second difference, and the target sensitivity, the target pitch angle and the target yaw direction are determined;
[0013] If the predicted wind speed is not greater than the rated wind speed, the target pitch angle and the target yaw direction are determined based on the blade angle of the current time period and the second yaw direction corresponding to the maximum first predicted power.
[0014] A method for adjusting the blades of a wind turbine according to an embodiment of this application, wherein determining the target pitch angle and the target yaw direction based on the maximum difference between the first difference and the second difference and the target sensitivity, includes:
[0015] When the maximum difference is greater than the target sensitivity, the second pitch angle corresponding to the maximum first predicted power is determined as the target pitch angle, and the second yaw direction corresponding to the maximum first predicted power is determined as the target yaw direction.
[0016] If the maximum difference is not greater than the target sensitivity, the blade angle corresponding to the current time period is determined as the target pitch angle, and the yaw direction corresponding to the current time period is determined as the target yaw direction.
[0017] A method for adjusting the blades of a wind turbine according to an embodiment of this application, wherein determining the target pitch angle and the target yaw direction based on the blade angle of the current time period and the second yaw direction corresponding to the maximum first predicted power includes:
[0018] When the angle of attack corresponding to the blade angle in the current time period is the maximum angle of attack, the blade angle is determined as the target pitch angle, and the second yaw direction corresponding to the maximum first predicted power is determined as the target yaw direction.
[0019] If the angle of attack corresponding to the blade angle in the current time period is not the maximum angle of attack, the maximum angle of attack is determined as the target pitch angle, and the second yaw direction corresponding to the maximum first predicted power is determined as the target yaw direction.
[0020] One embodiment of this application provides a method for adjusting the blades of a wind turbine, wherein multiple blade adjustment schemes are determined based on a first pitch angle and a first yaw direction corresponding to each of multiple future time periods, including:
[0021] The first pitch range is determined based on the minimum and maximum pitch angles among multiple first pitch angles; the first yaw range is determined based on the minimum and maximum yaw directions among multiple first yaw directions.
[0022] Based on the target step size, the first pitch range and the first yaw range are divided into multiple second pitch angles and second yaw directions; wherein, the difference between any two second pitch angles is an integer multiple of the target step size, and the difference between any two second yaw directions is an integer multiple of the target step size.
[0023] The multiple blade adjustment schemes are obtained by recombining any one of the multiple second pitch angles and any one of the multiple second yaw directions.
[0024] A method for adjusting the blades of a wind turbine according to an embodiment of this application, after adjusting the first predicted power, second predicted power, and third predicted power of the wind turbine blades based on the target pitch angle and the target yaw direction, the method further includes:
[0025] Obtain the second actual output power of the wind turbine during the target future time period;
[0026] Based on a third difference between the second actual output power and the maximum first predicted power, at least one of the first pitch angle, the first yaw direction, and the second predicted power is corrected.
[0027] A method for adjusting the blades of a wind turbine according to an embodiment of this application, after adjusting the first predicted power, second predicted power, and third predicted power of the wind turbine blades based on the target pitch angle and the target yaw direction, the method further includes:
[0028] If the target future time period is changed to the current time period, the third pitch angle and the third yaw direction corresponding to each of the multiple future time periods are determined based on the actual wind data corresponding to the current time period.
[0029] The first pitch angle and the third pitch angle corresponding to the target future time period are averaged among the plurality of future time periods to obtain the fourth pitch angle corresponding to the target future time period; the first yaw direction and the third yaw direction corresponding to the target future time period are averaged among the plurality of future time periods to obtain the fourth yaw direction corresponding to the target future time period.
[0030] Based on multiple fourth pitch angles and third pitch angles, update multiple first pitch angles corresponding to multiple future time periods; based on multiple fourth yaw directions and third yaw directions, update multiple first yaw directions corresponding to multiple future time periods.
[0031] A method for adjusting the blades of a wind turbine according to an embodiment of this application, before adjusting the blades of the wind turbine based on the target pitch angle and the target yaw direction, the method further includes:
[0032] If the probability that the predicted wind speed for the target future time period is greater than the strong wind threshold is greater than the target probability threshold, the angle of attack for the current time period is reduced.
[0033] Secondly, this application provides a blade adjustment device for a wind turbine, the device comprising:
[0034] The first processing module is used to determine multiple blade adjustment schemes based on the first pitch angle and the first yaw direction corresponding to each time period in multiple future time periods. Each blade adjustment scheme includes a second pitch angle and a second yaw direction. The first pitch angle and the first yaw direction are determined based on the first wind data of the current time period.
[0035] The second processing module is used to determine the first predicted power of the wind turbine corresponding to each blade adjustment scheme based on the second pitch angle and the second yaw direction.
[0036] The third processing module is used to obtain the target pitch angle and target yaw direction corresponding to the target future time period based on the predicted wind speed, rated wind speed, maximum first predicted power among multiple first predicted powers, first actual output power of the current time period, and second predicted power of the wind turbine corresponding to the target future time period; the predicted wind speed is determined based on the first wind data, and the second predicted power is determined based on the first pitch angle and first yaw direction corresponding to the target future time period;
[0037] The fourth processing module is used to adjust the blades of the wind turbine based on the target pitch angle and the target yaw direction.
[0038] According to the embodiment of this application, the blade adjustment device for a wind turbine generator determines the target pitch angle and target yaw direction corresponding to the target future time period by performing secondary processing on the first pitch angle and first yaw direction corresponding to each time period in multiple future time periods. Then, the blades of the wind turbine generator are adjusted based on the target pitch angle and target yaw direction. This allows the blade adjustment target to be predicted, enabling the blades to move ahead of time to avoid blade damage in case of emergencies. It also avoids unnecessary adjustments, extends the life of each structural component of the wind turbine generator, and improves wind power generation.
[0039] Thirdly, this application provides a wind power generation system, including:
[0040] Wind turbine;
[0041] The blade adjustment device of the wind turbine as described in the second aspect, wherein the blade adjustment device of the wind turbine is electrically connected to the wind turbine.
[0042] Fourthly, this application provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the blade adjustment method for a wind turbine generator as described in the first aspect above.
[0043] Fifthly, this application provides a computer program product, including a computer program that, when executed by a processor, implements the blade adjustment method for a wind turbine generator as described in the first aspect above.
[0044] The above-described one or more technical solutions in the embodiments of this application have at least one of the following technical effects:
[0045] By performing secondary processing on the first pitch angle and first yaw direction corresponding to each of the multiple future time periods, the target pitch angle and target yaw direction corresponding to the target future time period are determined. Then, the wind turbine blades are adjusted based on the target pitch angle and target yaw direction. The blade adjustment target can be predicted, and the adjustment accuracy and precision are high, so that the blades move ahead of time to avoid blade damage in case of emergencies. At the same time, unnecessary adjustments are avoided, the life of various structural components of the wind turbine is extended, and the wind power generation is increased.
[0046] Furthermore, based on determining the blade adjustment scheme according to the predicted wind speed, a more precise blade adjustment scheme is determined based on the degree of difference between the first actual output power, the maximum first predicted power, and the second predicted power. This can further improve the accuracy of the pitch angle and yaw direction corresponding to the blades in the predicted future period. When the maximum difference is greater than the target sensitivity, the second pitch angle and the second yaw direction corresponding to the maximum first predicted power are determined as the target pitch angle and the target yaw direction, respectively. This can predict the blade pitch operation in advance to avoid blade damage in case of emergencies. When the maximum difference is not greater than the target sensitivity, the blade angle is kept unchanged to reduce the loss of the wind turbine and thus extend the life of the wind turbine.
[0047] Furthermore, the first pitch range is determined based on the minimum and maximum pitch angles, and the first yaw range is determined based on the minimum and maximum yaw directions. Then, multiple combinations are randomly performed within the first pitch range and the first yaw range, which increases the diversity of blade adjustment schemes. The optimal scheme can be selected from multiple blade adjustment schemes to adjust the blades, thereby improving the accuracy and precision of blade adjustment.
[0048] Furthermore, by using a third difference between the second actual output power and the maximum first predicted power of the wind turbine in the target future period, at least one of the first pitch angle, the first yaw direction, and the second predicted power can be corrected in turn. This enables closed-loop regulation to improve the output accuracy and precision of the control system, thereby allowing the wind turbine blades to be adjusted more precisely, thus avoiding blade losses and increasing wind power generation.
[0049] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description
[0050] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which:
[0051] Figure 1This is one of the flowcharts illustrating the blade adjustment method for a wind turbine provided in this application embodiment;
[0052] Figure 2 This is one of the schematic diagrams illustrating the principle of the blade adjustment method for a wind turbine provided in this application embodiment;
[0053] Figure 3 This is a second schematic flowchart of the wind turbine blade adjustment method provided in the embodiments of this application;
[0054] Figure 4 This is the third flowchart illustrating the method for adjusting the blades of a wind turbine provided in this application embodiment;
[0055] Figure 5 This is the second schematic diagram of the principle of the wind turbine blade adjustment method provided in the embodiments of this application;
[0056] Figure 6 This is a schematic diagram of the structure of the blade adjustment device for a wind turbine provided in the embodiments of this application;
[0057] Figure 7 This is a schematic diagram of the structure of the wind power generation system provided in the embodiments of this application. Detailed Implementation
[0058] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.
[0059] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such use of data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first," "second," etc., are generally of the same class and the number of objects is not limited; for example, a first object can be one or more. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.
[0060] The following is combined Figures 1 to 5 This application describes a method for adjusting the blades of a wind turbine generator according to an embodiment of the present application.
[0061] It should be noted that the entity performing the blade adjustment method for wind turbines can be a wind power generation system, or a blade adjustment device of a wind turbine installed on a wind power generation system, or a server electrically connected to the wind power generation system, or a user terminal that is communicatively connected to the wind power generation system, including but not limited to mobile terminals and non-mobile terminals.
[0062] For example, mobile terminals include, but are not limited to, mobile phones, PDA smart terminals, tablets, and in-vehicle smart terminals; non-mobile terminals include, but are not limited to, PCs.
[0063] like Figure 1 As shown, the method for adjusting the blades of the wind turbine includes steps 110, 120, 130 and 140.
[0064] Step 110: Based on the first pitch angle and first yaw direction corresponding to each time period in multiple future time periods, determine multiple blade adjustment schemes, each blade adjustment scheme including a second pitch angle and a second yaw direction; wherein, the first pitch angle and the first yaw direction are determined based on the actual wind data of the current time period.
[0065] In this step, the current time period is the ongoing time period.
[0066] The future period refers to the period during which wind data can be predicted even if it has not yet occurred.
[0067] Actual wind data refers to the real wind data for the current time period, such as... Figure 3 As shown, actual wind data can be obtained based on a real-time data monitoring system.
[0068] Wind data can include information such as wind speed and wind direction.
[0069] Each of the multiple future time periods corresponds to a first pitch angle and a first yaw direction, and the multiple future time periods correspond to multiple first pitch angles and multiple first yaw directions.
[0070] The first pitch angle and the first yaw direction are determined based on the actual wind data for the current time period.
[0071] The blade adjustment scheme includes a second pitch angle and a second yaw direction.
[0072] In practical applications, the angle and direction of the wind turbine blades can be adjusted based on the blade adjustment scheme.
[0073] The second pitch angle is obtained based on the first pitch angle, and the second yaw direction is obtained based on the first yaw direction.
[0074] In actual implementation, such as Figure 3As shown, actual wind data can be input into the prediction system to obtain predicted wind data for multiple future time periods output by the prediction system.
[0075] The prediction system can learn and train itself. It can be trained and corrected based on the deviation coefficient between the actual wind data of the current period and the predicted wind data of the current period based on the previous period, so as to improve the prediction accuracy.
[0076] Then, the actual wind data and predicted wind data are arranged in chronological order, and the predicted wind data is divided into intervals corresponding to the current time period to obtain multiple future time periods, such as... Figure 2 As shown, time period T0 is the current time period, and T1-T7 are multiple future time periods;
[0077] Based on the predicted wind data and the pitch control model, with the rated power as the target, the first pitch angle corresponding to multiple future time periods is calculated backward; based on the predicted wind data and the yaw control model, with the rated power as the target, the first yaw direction corresponding to multiple future time periods is calculated backward.
[0078] Then, based on the first pitch angle and first yaw direction corresponding to each of the multiple future time periods, multiple blade adjustment schemes are determined.
[0079] Multiple first pitch angles and multiple first yaw directions can be directly and randomly combined to obtain multiple blade adjustment schemes; or the pitch angles and yaw directions can be randomly selected within a range and recombined. For example, multiple blade adjustment schemes can be determined based on the following steps.
[0080] In some embodiments, step 110 may include:
[0081] The first pitch range is determined based on the minimum and maximum pitch angles among multiple first pitch angles; the first yaw range is determined based on the minimum and maximum yaw directions among multiple first yaw directions.
[0082] Based on the target step size, the first pitch range and the first yaw range are divided into two parts to obtain multiple second pitch angles and second yaw directions; wherein, the difference between any two second pitch angles is an integer multiple of the target step size, and the difference between any two second yaw directions is an integer multiple of the target step size.
[0083] By recombining any second pitch angle from multiple second pitch angles and any second yaw direction from multiple second yaw directions, multiple blade adjustment schemes are obtained.
[0084] In this embodiment, the first pitch range is determined based on the minimum pitch angle and the maximum pitch angle, and the first pitch range is the range bounded by the minimum pitch angle and the maximum pitch angle.
[0085] The first yaw range is determined based on the minimum yaw direction and the maximum yaw direction. The first yaw range is the range bounded by the minimum yaw direction and the maximum yaw direction.
[0086] For example, the minimum pitch angle, maximum pitch angle, minimum yaw direction, and maximum yaw direction can be obtained using Excel or MATLAB. Then, based on the minimum pitch angle and maximum pitch angle, the first pitch range can be determined; based on the minimum yaw direction and maximum yaw direction, the first yaw range can be determined.
[0087] The target step size can be 1°, 2°, 10° or other values, and can be user-defined; this application does not impose any restrictions.
[0088] By dividing the first pitch range, multiple second pitch angles can be obtained, where the difference between any two second pitch angles is an integer multiple of the target step size.
[0089] By dividing the first yaw range, multiple second yaw directions can be obtained, where the difference between any two second yaw directions is an integer multiple of the target step size.
[0090] For example, if the first pitch range is [1°, 9°], and the target step size is set to 2°, the first pitch range can be divided based on the target step size to obtain the sequence: 1°, 3°, 5°, 7° and 9°, which are multiple second pitch angles.
[0091] We can define a leftward deflection of the propeller blade as negative and a rightward deflection as negative. With the first yaw range being [-2°, 1°], we can set the target step size to 1°. Based on the target step size, we can divide the first yaw range into a sequence: -2°, -1°, 0°, and 1°, which are multiple second yaw directions.
[0092] By recombining any second pitch angle from a plurality of second pitch angles and any second yaw direction from a plurality of second yaw directions, multiple blade adjustment schemes can be obtained. For example, in this embodiment, 20 blade adjustment schemes can be obtained, wherein the blade adjustment scheme can be a second pitch angle of 1° and a second yaw direction of -1°, or it can be a second pitch angle of 1° and a second yaw direction of 0°.
[0093] According to the wind turbine blade adjustment method provided in the embodiments of this application, a first pitch range is determined based on the minimum pitch angle and the maximum pitch angle, and a first yaw range is determined based on the minimum yaw direction and the maximum yaw direction. Then, multiple combinations are randomly performed within the first pitch range and the first yaw range, which improves the diversity of blade adjustment schemes and enables the selection of the optimal scheme from multiple blade adjustment schemes to adjust the blades, thereby improving the accuracy and precision of blade adjustment.
[0094] Step 120: Based on the second pitch angle and the second yaw direction, determine the first predicted power of the wind turbine corresponding to each blade adjustment scheme.
[0095] In this step, the first predicted power is predicted based on the second pitch angle and the second yaw direction.
[0096] like Figure 3 As shown, the second pitch angle and second yaw direction corresponding to each blade adjustment scheme can be input into the power model to obtain the first predicted power of the wind turbine corresponding to each blade adjustment scheme output by the power model.
[0097] In actual implementation, the second pitch angle and second yaw direction corresponding to each blade adjustment scheme can be input into the pitch control model and yaw control model to calculate the wind speed and wind direction for future periods and the first predicted power of the wind turbine corresponding to each blade adjustment scheme for that period.
[0098] Step 130: Based on the predicted wind speed, rated wind speed, maximum first predicted power among multiple first predicted powers, first actual output power of the current time period, and second predicted power of the wind turbine corresponding to the target future time period, obtain the target pitch angle and target yaw direction corresponding to the target future time period; the predicted wind speed is determined based on actual wind data, and the second predicted power is determined based on the first pitch angle and first yaw direction corresponding to the target future time period.
[0099] In this step, the target future time period can be any of multiple future time periods. For example, the target future time period can be the next time period corresponding to the current time period.
[0100] The predicted wind speed for the target future period is based on the actual wind data for the current period.
[0101] The rated wind speed is the wind speed corresponding to the rated output of the wind turbine. For example, the rated wind speed corresponding to a fixed pitch turbine can be 15 m / s, and the rated wind speed corresponding to a doubly fed induction generator or a direct drive turbine can be 11.5 m / s or 12 m / s. It can be based on user customization, and this application does not limit it.
[0102] The maximum first predicted power is the optimal power, and the blade adjustment scheme corresponding to the maximum first predicted power can be regarded as the optimal adjustment scheme.
[0103] The first actual output power is the actual output power of the wind turbine corresponding to the current time period. In practical applications, the actual wind data corresponding to the current time period can be collected based on the real-time data monitoring system, and then the first actual output power of the wind turbine corresponding to the current time period can be obtained based on the actual wind data.
[0104] The second predicted power is the predicted power of the wind turbines for the target future time period.
[0105] The second predicted power can be determined based on the first pitch angle and the first yaw direction corresponding to the target future time period.
[0106] The target pitch angle is the pitch angle that the wind turbine blades need to be adjusted for within the target future time period.
[0107] The target yaw direction is the yaw direction that the blades of the wind turbine need to be adjusted to within the target future time period.
[0108] like Figure 4 As shown, in some embodiments, step 130 may include:
[0109] When the predicted wind speed is greater than the rated wind speed, a first degree of difference between the first actual output power and the maximum first predicted power, and a second degree of difference between the first actual output power and the second predicted power are obtained.
[0110] Based on the maximum difference between the first and second differences and the target sensitivity, the target pitch angle and the target yaw direction are determined.
[0111] If the predicted wind speed is no greater than the rated wind speed, the target pitch angle and target yaw direction are determined based on the blade angle at the current time period and the second yaw direction corresponding to the maximum first predicted power.
[0112] In this embodiment, if the predicted wind speed in the target future period is greater than the rated wind speed, it indicates that pitch control may be performed in the target future period.
[0113] The first difference degree is used to characterize the difference between the first actual output power and the maximum first predicted power. The first difference degree can be the difference between the first actual output power and the maximum first predicted power, or it can be the ratio between the first actual output power and the maximum first predicted power, etc. It can be user-defined and is not limited in this application.
[0114] The second difference degree is used to characterize the difference between the first actual output power and the second predicted power. The second difference degree can be the difference between the first actual output power and the second predicted power, or it can be the ratio between the first actual output power and the second predicted power, etc. It can be user-defined and is not limited in this application.
[0115] The maximum degree of difference is the maximum value between the first degree of difference and the second degree of difference.
[0116] The target sensitivity is set by the user and is used to determine the magnitude of the maximum difference.
[0117] If the predicted wind speed is no greater than the rated wind speed, the target may not require pitch control in the future.
[0118] The blade angle for the current time period can be calculated based on the actual wind data for the current time period.
[0119] The second yaw direction corresponding to the maximum first predicted power is the second yaw direction in the blade adjustment scheme corresponding to the maximum first predicted power.
[0120] The blade adjustment method for wind turbines provided in this application selects different blade adjustment schemes based on the predicted wind speed, improving the accuracy of the pitch angle and yaw direction of the blades in the predicted future time period; it can perform pitch operation on the blades of the wind turbine when the predicted wind speed is greater than the rated wind speed to avoid blade damage in case of emergencies; and it keeps the blade angle unchanged when the predicted wind speed is not greater than the rated wind speed to reduce the loss of the wind turbine and thus extend the life of the wind turbine.
[0121] like Figure 4 As shown, in some embodiments, determining the target pitch angle and target yaw direction based on the maximum difference between the first and second differences and the target sensitivity may include:
[0122] When the maximum difference is greater than the target sensitivity, the second pitch angle corresponding to the maximum first predicted power is determined as the target pitch angle, and the second yaw direction corresponding to the maximum first predicted power is determined as the target yaw direction.
[0123] If the maximum difference is not greater than the target sensitivity, the blade angle corresponding to the current time period is determined as the target pitch angle, and the yaw direction corresponding to the current time period is determined as the target yaw direction.
[0124] In this embodiment, the maximum difference is the maximum value between the first difference and the second difference.
[0125] The second pitch angle is the pitch angle in the blade adjustment scheme corresponding to the maximum first predicted power.
[0126] The second yaw direction is the yaw direction in the blade adjustment scheme corresponding to the maximum first predicted power.
[0127] The target pitch angle is the pitch angle that the wind turbine blades need to be adjusted for within the target future time period.
[0128] The target yaw direction is the yaw direction that the blades of the wind turbine need to be adjusted to within the target future time period.
[0129] In actual execution, the first actual output power can be represented as P0, the maximum first predicted power as Pi, the second predicted power as P1, and the target sensitivity as ΔP.
[0130] When Max(P0-Pi,P0-P1)>ΔP, the second pitch angle αi corresponding to the maximum first predicted power is determined as the target pitch angle, and the second yaw direction Direction_i corresponding to the maximum first predicted power is determined as the target yaw direction.
[0131] If Max(P0-Pi,P0-P1)≤ΔP, the blade angle α0 corresponding to the current time period is determined as the target pitch angle, and the yaw direction Direction_0 corresponding to the current time period is determined as the target yaw direction.
[0132] According to the blade adjustment method for wind turbines provided in this application, based on determining the blade adjustment scheme based on the predicted wind speed, a more precise blade adjustment scheme is further determined based on the degree of difference between the first actual output power, the maximum first predicted power, and the second predicted power. This can further improve the accuracy of the pitch angle and yaw direction corresponding to the blades in the predicted future time period. When the maximum difference is greater than the target sensitivity, the second pitch angle and the second yaw direction corresponding to the maximum first predicted power are determined as the target pitch angle and the target yaw direction, respectively. This can predict the pitch operation of the blades in advance to avoid blade damage in case of emergencies. When the maximum difference is not greater than the target sensitivity, the blade angle is kept unchanged to reduce the loss of the wind turbine and thus extend the life of the wind turbine.
[0133] Continue to refer to Figure 4 In some embodiments, determining the target pitch angle and target yaw direction based on the blade angle at the current time period and the second yaw direction corresponding to the maximum first predicted power may include:
[0134] When the angle of attack corresponding to the blade angle in the current time period is the maximum angle of attack, the blade angle is determined as the target pitch angle, and the second yaw direction corresponding to the maximum first predicted power is determined as the target yaw direction.
[0135] If the angle of attack corresponding to the blade angle in the current time period is not the maximum angle of attack, the maximum angle of attack is determined as the target pitch angle, and the second yaw direction corresponding to the maximum first predicted power is determined as the target yaw direction.
[0136] In this embodiment, the angle of attack corresponding to the blade angle can be calculated based on the pitch control model and the yaw control model.
[0137] When the angle of attack corresponding to the blade angle is the maximum angle of attack, the blade angle can be directly determined as the target pitch angle.
[0138] If the angle of attack corresponding to the blade angle is not the maximum angle of attack, the maximum angle of attack is determined as the target pitch angle.
[0139] In actual execution, the angle of attack can be represented as α0. When α0 is the maximum angle of attack, α0 is determined as the target pitch angle, and the second yaw direction Direction_i corresponding to the maximum first predicted power is determined as the target yaw direction.
[0140] If α0 is not the maximum angle of attack, the maximum angle of attack is determined as the target pitch angle, and the second yaw direction Direction_i corresponding to the maximum first predicted power is determined as the target yaw direction.
[0141] According to the blade adjustment method of the wind turbine provided in the embodiments of this application, the maximum angle of attack is determined as the target pitch angle, and the second yaw direction corresponding to the maximum first predicted power is determined as the target yaw direction. This enables the wind turbine to output power within the allowable range and to quickly change pitch when pitch is required, avoiding blade damage in case of emergencies, improving the safety and reliability of the wind turbine, and thus increasing wind power generation.
[0142] Step 140: Adjust the blades of the wind turbine based on the target pitch angle and target yaw direction.
[0143] In this step, such as Figure 5 The diagram shown illustrates the pitch control of a wind turbine. The dashed lines represent the target pitch angle and target yaw direction corresponding to the adjusted blades of the wind turbine.
[0144] In actual implementation, such as Figure 3 As shown, the blades of the wind turbine can be adjusted based on the actuator.
[0145] During the research and development process, the inventors discovered that the relevant technologies could not provide effective pitch and wind-fighting strategies for the blades of wind turbines, and could not predict the blade adjustment target, which may lead to blade damage; moreover, frequent adjustments would reduce the lifespan of various structural components of the wind turbine and reduce power generation.
[0146] In this application, the wind data for the predicted target future period is processed a second time to obtain the optimal blade adjustment scheme. Based on the target pitch angle and target yaw direction in the blade adjustment scheme, the blades of the wind turbine are adjusted. The blade adjustment target can be predicted, and the adjustment accuracy and precision are high, so that the blades move ahead of time to avoid blade damage in case of emergencies. At the same time, unnecessary adjustments are avoided, the life of various structural components of the wind turbine is extended, and the wind power generation is increased.
[0147] According to the wind turbine blade adjustment method provided in this application embodiment, by performing secondary processing on the first pitch angle and first yaw direction corresponding to each time period in multiple future time periods, the target pitch angle and target yaw direction corresponding to the target future time period are determined. Then, the wind turbine blades are adjusted based on the target pitch angle and target yaw direction. This method can predict the blade adjustment target and has high adjustment accuracy and precision, allowing the blades to move ahead of time to avoid blade damage in case of emergencies. It also avoids unnecessary adjustments, extends the life of various structural components of the wind turbine, and improves wind power generation.
[0148] like Figure 3 and Figure 4 As shown, in some embodiments, after step 140, the blade adjustment method of the wind turbine may further include:
[0149] Obtain the second actual output power of the wind turbine within the target future time period;
[0150] Based on a third difference between the second actual output power and the maximum first predicted power, at least one of the first pitch angle, the first yaw direction, and the second predicted power is corrected.
[0151] In this embodiment, the second actual output power is the actual output power of the wind turbine obtained after adjusting the blades of the wind turbine.
[0152] The third difference degree is used to characterize the difference between the second actual output power and the maximum first predicted power. The third difference degree can be the difference between the second actual output power and the maximum first predicted power, or it can be the ratio between the second actual output power and the maximum first predicted power, etc. It can be user-defined and is not limited in this application.
[0153] The third difference can be fed back to the control system to correct at least one of the first pitch angle, the first yaw direction, and the second predicted power.
[0154] According to the wind turbine blade adjustment method provided in the embodiments of this application, by using a third difference degree between the second actual output power and the maximum first predicted power of the wind turbine in a target future time period, at least one of the first pitch angle, the first yaw direction and the second predicted power can be corrected in turn, thereby achieving closed-loop regulation to improve the output accuracy and precision of the control system, so that the wind turbine blades can be adjusted more precisely, thereby avoiding blade loss and increasing wind power generation.
[0155] In some embodiments, after step 140, the blade adjustment method of the wind turbine may further include:
[0156] When the target future time period is changed to the current time period, the third pitch angle and the third yaw direction are determined for each of the multiple future time periods based on the actual wind data corresponding to the current time period.
[0157] The first pitch angle and the third pitch angle corresponding to the target future time period are averaged across multiple future time periods to obtain the fourth pitch angle corresponding to the target future time period; the first yaw direction and the third yaw direction corresponding to the target future time period are averaged across multiple future time periods to obtain the fourth yaw direction corresponding to the target future time period.
[0158] Based on multiple fourth pitch angles and third pitch angles, update multiple first pitch angles corresponding to multiple future time periods; based on multiple fourth yaw directions and third yaw directions, update multiple first yaw directions corresponding to multiple future time periods.
[0159] In this embodiment, the current time period is the ongoing time period.
[0160] The third pitch angle and the third yaw direction were determined based on the actual wind data for the current time period.
[0161] The first pitch angle corresponding to the target future time period is determined based on the actual wind data of the current time period before the target future time period is changed to the current time period.
[0162] The third pitch angle corresponding to the target future time period is determined based on the actual wind data of the current time period after the target future time period is changed to the current time period.
[0163] The fourth pitch angle is obtained by averaging the first and third pitch angles corresponding to the future time period of the target.
[0164] The first yaw direction corresponding to the target future time period is determined based on the actual wind data of the current time period before the target future time period is changed to the current time period.
[0165] The third yaw direction corresponding to the target future time period is determined based on the actual wind data of the current time period after the target future time period is changed to the current time period.
[0166] The fourth yaw direction is obtained by averaging the first and third yaw directions corresponding to the target's future time period.
[0167] Multiple fourth pitch angles and newly predicted third pitch angles are determined as the first pitch angles corresponding to multiple future time periods.
[0168] Multiple fourth yaw directions and newly predicted third yaw directions are identified as the first yaw ranges corresponding to multiple future time periods.
[0169] In actual execution, for example, multiple first pitch angles can be represented as α1, α2, α3, α4 and α5, and multiple first yaw directions can be represented as D1, D2, D3, D4 and D5;
[0170] After the target future time period is changed to the current time period, the third pitch angle corresponding to multiple future time periods obtained based on the actual wind data of the current time period is represented as α. ′ 2. α ′ 3. α ′ 4. α ′ 5 and α′6, representing the third yaw direction corresponding to multiple future time periods as D ′ 2. D ′ 3. D ′ 4. D ′ 5 and D′6;
[0171] Then, the α2 and α′2 of the target future time period are averaged to obtain the fourth pitch angle α″2 of the target future time period. Similarly, the fourth pitch angles α″3, α″4 and α″5 corresponding to multiple future time periods can be obtained.
[0172] For the target future time period D2 and D ′ 2. After averaging, the fourth yaw direction D″2 of the target future time period is obtained. Similarly, the fourth yaw directions D″3, D″4 and D″5 corresponding to multiple future time periods can be obtained.
[0173] Then α″3, α″4, α″5, and α′6 are determined as the first pitch angles corresponding to multiple future time periods;
[0174] D″3, D″4, D″5, and D′6 are identified as the first yaw ranges corresponding to multiple future time periods.
[0175] According to the wind turbine blade adjustment method provided in this application embodiment, the third pitch angle and third yaw direction corresponding to multiple future time periods are re-predicted based on the actual wind data of the current time period. The first pitch angle and third pitch angle corresponding to the target future time period are averaged to obtain the fourth pitch angle. The first yaw direction and third yaw direction corresponding to the target future time period are averaged to obtain the fourth yaw direction. Then, based on the fourth pitch angle and third pitch angle, the first pitch angle is updated. Based on the fourth yaw direction and third yaw direction, the first yaw direction is updated. This continuously updates the pitch angle and yaw direction output by the control system, enabling the wind turbine blades to be adjusted more accurately to avoid blade loss and improve wind power generation.
[0176] In some embodiments, prior to step 140, the blade adjustment method for the wind turbine may further include:
[0177] If the probability that the predicted wind speed in the target future time period is greater than the strong wind threshold is greater than the target probability threshold, reduce the angle of attack in the current time period.
[0178] In this embodiment, the strong wind threshold is used to characterize the magnitude of the strong wind, and can be user-defined; this application does not impose any limitations on it.
[0179] When the wind speed is greater than the strong wind threshold, it indicates that strong winds may occur during that period.
[0180] The target probability threshold is used to characterize the probability that the predicted wind speed is greater than the strong wind threshold. It can be user-defined and is not limited in this application.
[0181] In actual operation, if strong winds are expected in the target future period and the probability of strong winds is high, a pitch control command can be issued in advance to reduce the angle of attack corresponding to the current period, reduce the operating load, and be prepared to shut down the generator at any time.
[0182] In some embodiments, if the predicted wind speed corresponding to the target future time period is greater than the target proportion of the cut-out wind speed, pitch adjustment can be performed to reduce the rate of operation, and then gradually cut out.
[0183] The target ratio can be customized based on user needs. For example, the target ratio can be 0.8 or 0.9, etc. This application does not limit it.
[0184] According to the blade adjustment method for wind turbines provided in this application, when the probability that the predicted wind speed for the target future time period is greater than the strong wind threshold is greater than the target probability threshold, the angle of attack for the current time period is reduced. This can avoid damage to the equipment caused by strong winds, reduce the impact on the power grid, and thus increase the power generation of the wind turbine.
[0185] The blade adjustment device for the wind turbine provided in this application is described below. The blade adjustment device for the wind turbine described below can be referred to in correspondence with the blade adjustment method for the wind turbine described above.
[0186] The blade adjustment method for a wind turbine provided in this application can be executed by a blade adjustment device for the wind turbine. This application uses the blade adjustment device of the wind turbine executing the blade adjustment method as an example to illustrate the blade adjustment device for the wind turbine provided in this application.
[0187] This application also provides a blade adjustment device for a wind turbine.
[0188] like Figure 6 As shown, the blade adjustment device of the wind turbine includes: a first processing module 610, a second processing module 620, a third processing module 630 and a fourth processing module 640.
[0189] The first processing module 610 is used to determine multiple blade adjustment schemes based on the first pitch angle and the first yaw direction corresponding to each time period in multiple future time periods. Each blade adjustment scheme includes a second pitch angle and a second yaw direction. The first pitch angle and the first yaw direction are determined based on the first wind data of the current time period.
[0190] The second processing module 620 is used to determine the first predicted power of the wind turbine corresponding to each blade adjustment scheme based on the second pitch angle and the second yaw direction.
[0191] The third processing module 630 is used to obtain the target pitch angle and target yaw direction corresponding to the target future time based on the predicted wind speed, rated wind speed, maximum predicted power among multiple first predicted powers, first actual output power of the current time period, and second predicted power of the wind turbine corresponding to the target future time period in multiple future time periods; the predicted wind speed is determined based on the first wind data, and the second predicted power is determined based on the first pitch angle and first yaw direction corresponding to the target future time period;
[0192] The fourth processing module 640 is used to adjust the blades of the wind turbine based on the target pitch angle and the target yaw direction.
[0193] According to the wind turbine blade adjustment device provided in the embodiments of this application, by performing secondary processing on the first pitch angle and the first yaw direction corresponding to each time period in multiple future time periods, the target pitch angle and the target yaw direction corresponding to the target future time period are determined. Then, the blades of the wind turbine are adjusted based on the target pitch angle and the target yaw direction. The blade adjustment target can be predicted, and the adjustment accuracy and precision are high, so that the blades move ahead of time to avoid blade damage in case of emergencies. At the same time, unnecessary adjustments are avoided, the life of each structural component of the wind turbine is extended, and the wind power generation is increased.
[0194] In some embodiments, the blade adjustment device of the wind turbine may further include:
[0195] The fifth processing module is used to obtain a first difference between the first actual output power and the maximum first predicted power, and a second difference between the first actual output power and the second predicted power when the predicted wind speed is greater than the rated wind speed.
[0196] The sixth processing module is used to determine the target pitch angle and target yaw direction based on the maximum difference between the first and second differences and the target sensitivity.
[0197] The seventh processing module is used to determine the target pitch angle and target yaw direction based on the blade angle of the current time period and the second yaw direction corresponding to the maximum first predicted power, provided that the predicted wind speed is not greater than the rated wind speed.
[0198] In some embodiments, the sixth processing module can also be used for:
[0199] When the maximum difference is greater than the target sensitivity, the second pitch angle corresponding to the maximum first predicted power is determined as the target pitch angle, and the second yaw direction corresponding to the maximum first predicted power is determined as the target yaw direction.
[0200] If the maximum difference is not greater than the target sensitivity, the blade angle corresponding to the current time period is determined as the target pitch angle, and the yaw direction corresponding to the current time period is determined as the target yaw direction.
[0201] In some embodiments, the seventh processing module can also be used for:
[0202] When the angle of attack corresponding to the blade angle in the current time period is the maximum angle of attack, the blade angle is determined as the target pitch angle, and the second yaw direction corresponding to the maximum first predicted power is determined as the target yaw direction.
[0203] If the angle of attack corresponding to the blade angle in the current time period is not the maximum angle of attack, the maximum angle of attack is determined as the target pitch angle, and the second yaw direction corresponding to the maximum first predicted power is determined as the target yaw direction.
[0204] In some embodiments, the first processing module 610 may also be used for:
[0205] The first pitch range is determined based on the minimum and maximum pitch angles among multiple first pitch angles; the first yaw range is determined based on the minimum and maximum yaw directions among multiple first yaw directions.
[0206] Based on the target step size, the first pitch range and the first yaw range are divided into two parts to obtain multiple second pitch angles and second yaw directions; wherein, the difference between any two second pitch angles is an integer multiple of the target step size, and the difference between any two second yaw directions is an integer multiple of the target step size.
[0207] By recombining any second pitch angle from multiple second pitch angles and any second yaw direction from multiple second yaw directions, multiple blade adjustment schemes are obtained.
[0208] In some embodiments, the blade adjustment device of the wind turbine may further include an eighth processing module for:
[0209] After adjusting the first predicted power and second predicted power of the wind turbine blades based on the target pitch angle and the target yaw direction, the second actual output power of the wind turbine in the target future time period is obtained.
[0210] Based on a third difference between the second actual output power and the maximum first predicted power, at least one of the first pitch angle, the first yaw direction, and the second predicted power is corrected.
[0211] In some embodiments, the blade adjustment device of the wind turbine may further include a ninth processing module for:
[0212] After adjusting the first predicted power and second predicted power of the wind turbine blades based on the target pitch angle and target yaw direction, if the target future time period is changed to the current time period, the third pitch angle and third yaw direction corresponding to each time period in multiple future time periods are determined based on the actual wind data corresponding to the current time period.
[0213] The first pitch angle and the third pitch angle corresponding to the target future time period are averaged across multiple future time periods to obtain the fourth pitch angle corresponding to the target future time period; the first yaw direction and the third yaw direction corresponding to the target future time period are averaged across multiple future time periods to obtain the fourth yaw direction corresponding to the target future time period.
[0214] Based on multiple fourth pitch angles and third pitch angles, update multiple first pitch angles corresponding to multiple future time periods; based on multiple fourth yaw directions and third yaw directions, update multiple first yaw directions corresponding to multiple future time periods.
[0215] In some embodiments, the blade adjustment device of the wind turbine may further include a tenth processing module for:
[0216] Before adjusting the blades of the wind turbine based on the target pitch angle and target yaw direction, if the probability that the predicted wind speed for the target future time period is greater than the strong wind threshold is greater than the target probability threshold, the angle of attack for the current time period is reduced.
[0217] The blade adjustment device for the wind turbine in this embodiment can be a device with an operating system. This operating system can be Android, iOS, or other possible operating systems; this embodiment does not specifically limit its use.
[0218] The blade adjustment device for the wind turbine provided in this application embodiment can achieve... Figures 1 to 5 The various processes implemented in the method implementation examples will not be described again here to avoid repetition.
[0219] This application also provides a wind power generation system.
[0220] The wind power generation system includes a wind turbine and a blade adjustment device for the wind turbine as described in any of the above embodiments.
[0221] In this embodiment, the blade adjustment device of the wind turbine is the blade adjustment device of the wind turbine described in any of the embodiments above, and the blade adjustment device of the wind turbine is electrically connected to the wind turbine.
[0222] The blade adjustment device of the wind turbine is used to perform the blade adjustment method of the wind turbine as described in any of the embodiments above.
[0223] like Figure 7 A schematic diagram of a wind power generation system is provided. The wind power generation system 700 includes a processor 701, a memory 702, and a computer program stored in the memory 702 and executable on the processor 701. When the program is executed by the processor 701, it implements the various processes of the above-described embodiment of the wind turbine blade adjustment method and achieves the same technical effect. To avoid repetition, it will not be described again here.
[0224] It should be noted that the wind power generation system in this application embodiment includes the mobile wind power generation system and the non-mobile wind power generation system described above.
[0225] According to the wind power generation system provided in the embodiments of this application, by setting a blade adjustment device for the wind turbine in the wind power generation system, the blade adjustment target can be predicted, so that the blade moves ahead of time to avoid blade damage in case of emergencies. At the same time, unnecessary adjustments are avoided, the life of each structural component of the wind turbine is extended, and the wind power generation is increased.
[0226] On the other hand, this application also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the various processes of the above-described embodiment of the wind turbine blade adjustment method and achieve the same technical effect. To avoid repetition, it will not be described again here.
[0227] In another aspect, this application also provides a non-transitory computer-readable storage medium storing a computer program thereon. When executed by a processor, the computer program implements the various processes of the above-described embodiment of the wind turbine blade adjustment method and achieves the same technical effect. To avoid repetition, it will not be described again here.
[0228] In another aspect, this application embodiment provides a chip, which includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement the various processes of the above-described wind turbine blade adjustment method embodiment and can achieve the same technical effect. To avoid repetition, it will not be described again here.
[0229] It should be understood that the chip mentioned in the embodiments of this application may also be referred to as a system-on-a-chip, system chip, chip system, or system-on-a-chip, etc.
[0230] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.
[0231] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.
[0232] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.
Claims
1. A method for adjusting the blades of a wind turbine, characterized in that, include: Based on the first pitch angle and first yaw direction corresponding to each time period in multiple future time periods, multiple blade adjustment schemes are determined, each blade adjustment scheme including a second pitch angle and a second yaw direction; wherein, the first pitch angle and the first yaw direction are determined based on the actual wind data of the current time period; Based on the second pitch angle and the second yaw direction, the first predicted power of the wind turbine corresponding to each of the blade adjustment schemes is determined. Based on the predicted wind speed, rated wind speed, maximum first predicted power among multiple first predicted powers, first actual output power of the current period, and second predicted power of the wind turbine corresponding to the target future period, the target pitch angle and target yaw direction corresponding to the target future period are obtained; the predicted wind speed is determined based on the actual wind data, and the second predicted power is determined based on the first pitch angle and first yaw direction corresponding to the target future period; The blades of the wind turbine are adjusted based on the target pitch angle and the target yaw direction; The step of obtaining the target pitch angle and target yaw direction corresponding to the target future time period based on the predicted wind speed, rated wind speed, maximum first predicted power among multiple first predicted powers, first actual output power of the current time period, and second predicted power corresponding to the target future time period includes: When the predicted wind speed is greater than the rated wind speed, a first difference between the first actual output power and the maximum first predicted power, and a second difference between the first actual output power and the second predicted power are obtained. Based on the maximum difference between the first difference and the second difference, and the target sensitivity, the target pitch angle and the target yaw direction are determined; When the predicted wind speed is not greater than the rated wind speed, the target pitch angle and target yaw direction are determined based on the blade angle of the current time period and the second yaw direction corresponding to the maximum first predicted power; the determination of the target pitch angle and target yaw direction based on the maximum difference between the first difference and the second difference and the target sensitivity includes: When the maximum difference is greater than the target sensitivity, the second pitch angle corresponding to the maximum first predicted power is determined as the target pitch angle, and the second yaw direction corresponding to the maximum first predicted power is determined as the target yaw direction. If the maximum difference is not greater than the target sensitivity, the blade angle corresponding to the current time period is determined as the target pitch angle, and the yaw direction corresponding to the current time period is determined as the target yaw direction. The determination of the target pitch angle and target yaw direction based on the blade angle of the current time period and the second yaw direction corresponding to the maximum first predicted power includes: When the angle of attack corresponding to the blade angle in the current time period is the maximum angle of attack, the blade angle is determined as the target pitch angle, and the second yaw direction corresponding to the maximum first predicted power is determined as the target yaw direction. If the angle of attack corresponding to the blade angle in the current time period is not the maximum angle of attack, the maximum angle of attack is determined as the target pitch angle, and the second yaw direction corresponding to the maximum first predicted power is determined as the target yaw direction.
2. The method for adjusting the blades of a wind turbine generator according to claim 1, characterized in that, The method determines multiple blade adjustment schemes based on the first pitch angle and first yaw direction corresponding to each of the multiple future time periods, including: The first pitch range is determined based on the minimum and maximum pitch angles among multiple first pitch angles; the first yaw range is determined based on the minimum and maximum yaw directions among multiple first yaw directions. Based on the target step size, the first pitch range and the first yaw range are divided into multiple second pitch angles and second yaw directions; wherein, the difference between any two second pitch angles is an integer multiple of the target step size, and the difference between any two second yaw directions is an integer multiple of the target step size. The multiple blade adjustment schemes are obtained by recombining any one of the multiple second pitch angles and any one of the multiple second yaw directions.
3. The method for adjusting the blades of a wind turbine generator according to claim 1, characterized in that, After adjusting the blades of the wind turbine based on the target pitch angle and the target yaw direction, the method further includes: Obtain the second actual output power of the wind turbine during the target future time period; Based on a third difference between the second actual output power and the maximum first predicted power, at least one of the first pitch angle, the first yaw direction, and the second predicted power is corrected.
4. The method for adjusting the blades of a wind turbine generator according to claim 1, characterized in that, After adjusting the blades of the wind turbine based on the target pitch angle and the target yaw direction, the method further includes: If the target future time period is changed to the current time period, the third pitch angle and the third yaw direction corresponding to each of the multiple future time periods are determined based on the actual wind data corresponding to the current time period. The first pitch angle and the third pitch angle corresponding to the target future time period are averaged among the plurality of future time periods to obtain the fourth pitch angle corresponding to the target future time period; the first yaw direction and the third yaw direction corresponding to the target future time period are averaged among the plurality of future time periods to obtain the fourth yaw direction corresponding to the target future time period. Based on multiple fourth pitch angles and third pitch angles, update multiple first pitch angles corresponding to multiple future time periods; based on multiple fourth yaw directions and third yaw directions, update multiple first yaw directions corresponding to multiple future time periods.
5. The method for adjusting the blades of a wind turbine generator according to claim 1, characterized in that, Before adjusting the blades of the wind turbine based on the target pitch angle and the target yaw direction, the method further includes: If the probability that the predicted wind speed for the target future time period is greater than the strong wind threshold is greater than the target probability threshold, the angle of attack for the current time period is reduced.
6. A blade adjustment device for a wind turbine based on the blade adjustment method for a wind turbine as described in any one of claims 1-5, characterized in that, include: The first processing module is used to determine multiple blade adjustment schemes based on the first pitch angle and the first yaw direction corresponding to each time period in multiple future time periods. Each blade adjustment scheme includes a second pitch angle and a second yaw direction. The first pitch angle and the first yaw direction are determined based on the actual wind data of the current time period. The second processing module is used to determine the first predicted power of the wind turbine corresponding to each blade adjustment scheme based on the second pitch angle and the second yaw direction. The third processing module is used to obtain the target pitch angle and target yaw direction corresponding to the target future time period based on the predicted wind speed, rated wind speed, maximum first predicted power among multiple first predicted powers, first actual output power of the current time period, and second predicted power of the wind turbine corresponding to the target future time period; the predicted wind speed is determined based on the actual wind data, and the second predicted power is determined based on the first pitch angle and first yaw direction corresponding to the target future time period; The fourth processing module is used to adjust the blades of the wind turbine based on the target pitch angle and the target yaw direction.
7. A wind power generation system, characterized in that, include: Wind turbine; The blade adjustment device for a wind turbine as described in claim 6, wherein the blade adjustment device for the wind turbine is electrically connected to the wind turbine.
8. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the blade adjustment method for a wind turbine as described in any one of claims 1-5.
9. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the blade adjustment method for a wind turbine as described in any one of claims 1-5.