Blade stall suppression method and device for wind turbine, and wind turbine generator system

Abstract

The present application discloses a blade stall suppression method and device for a wind turbine, and a wind turbine generator system. The blade stall suppression method comprises: acquiring a blade azimuth angle of a wind turbine, and operating power and / or wind speed; inputting the blade azimuth angle and the operating power into a preset stall threshold prediction model to obtain a power-related azimuth angle stall threshold, and / or inputting the blade azimuth angle and the wind speed into a preset stall threshold prediction model to obtain a wind speed-related azimuth angle stall threshold; and performing blade pitch angle control of the wind turbine by using the power-related azimuth angle stall threshold and / or the wind speed-related azimuth angle stall threshold, so as to achieve blade stall suppression.

Description

Methods and devices for suppressing blade stall in wind turbines and wind turbine generator sets

[0001] This disclosure claims priority to Chinese Patent Application No. 202411979014.2, filed on December 30, 2024, the entire contents of which are incorporated herein by reference. Technical Field

[0002] This disclosure generally relates to the field of wind power, and more specifically, to a method and apparatus for suppressing blade stall of a wind turbine and a wind turbine generator set. Background Technology

[0003] In the field of wind power technology, stall refers to the phenomenon of decreased aerodynamic performance of blades or rotors due to airflow separation under specific operating conditions. Blade stall typically occurs when the airflow velocity decreases to a certain level, exceeding the blade's critical angle of attack, causing the blade to be unable to effectively generate lift and thus stall. This type of stall usually occurs when the wind speed is close to the rated value, especially under low air density conditions, where stalling is prone to occur at the blade root, severely affecting the stability and safety of wind turbine generator sets (hereinafter referred to as "generators"). Therefore, blade stall protection is an important safety protection mechanism in wind turbine generator sets, aiming to prevent blade damage due to excessive load under conditions such as high wind speeds.

[0004] Blade stall protection technology involves multiple aspects such as aerodynamic design, structural optimization, real-time monitoring, and fault early warning. Its purpose is to reduce the occurrence of stall phenomena and improve the stability and safety of the equipment through various means. Current blade stall protection algorithms determine the stall state of each blade by judging the stall state based on the entire impeller, thereby executing a synchronous pitch control strategy. However, judging the stall state of each blade based on the entire impeller may have significant deviations, and these deviations increase with the size of the impeller. Therefore, the control effect of stall protection weakens, and this stall protection strategy may also bring other adverse effects to the unit. Summary of the Invention

[0005] The embodiments of this disclosure provide a method and apparatus for suppressing blade stall of a wind turbine generator and a wind turbine generator set. By applying a power-related azimuth stall threshold and / or a wind speed-related azimuth stall threshold to the blade pitch angle control strategy, independent pitch control is achieved for each blade, thereby suppressing blade stall.

[0006] In one general aspect, a method for suppressing blade stall of a wind turbine is provided. The method includes: acquiring the blade azimuth angle of the wind turbine, as well as the operating power and / or wind speed; inputting the blade azimuth angle and the operating power into a preset stall threshold prediction model to obtain a power-related azimuth stall threshold, and / or inputting the blade azimuth angle and the wind speed into the preset stall threshold prediction model to obtain a wind speed-related azimuth stall threshold; and using the power-related azimuth stall threshold and / or the wind speed-related azimuth stall threshold to perform blade pitch angle control of the wind turbine to achieve blade stall suppression.

[0007] In another general aspect, a blade stall suppression device for a wind turbine is provided, the blade stall suppression device comprising: a data acquisition module configured to acquire operating data and operating environment data of the wind turbine, the operating data including the blade rotational speed, blade azimuth angle, and operating power of the wind turbine, and the operating environment data including wind speed and wind shear coefficient; a threshold prediction module configured to input the blade rotational speed, the blade azimuth angle, the operating power, the wind speed, and the wind shear coefficient into a preset stall threshold prediction model to obtain a power-related azimuth stall threshold and / or a wind speed-related azimuth stall threshold; and a blade control module configured to use the power-related azimuth stall threshold and / or the wind speed-related azimuth stall threshold to perform blade pitch angle control of the wind turbine to achieve blade stall suppression.

[0008] In another general aspect, a computer-readable storage medium is provided that, when instructions in the computer-readable storage medium are executed by at least one processor, causes the at least one processor to perform the comprehensive performance evaluation method for wind turbine equipment as described above.

[0009] In another general aspect, a computer program product is provided, comprising a computer program / instructions that, when executed by a processor, implement the blade stall suppression method for a wind turbine as described above.

[0010] In another general aspect, a computing device is provided, comprising: at least one processor; and at least one memory storing computer-executable instructions, wherein, when executed by the at least one processor, the computer-executable instructions cause the at least one processor to perform the blade stall suppression method for a wind turbine as described above.

[0011] In another general aspect, a wind turbine generator set is provided that applies the blade stall suppression method for wind turbine generators as described above.

[0012] The wind turbine blade stall suppression method, apparatus, and wind turbine generator set according to embodiments of this disclosure achieve independent pitch control for each blade by applying a power-related azimuth stall threshold and / or a wind speed-related azimuth stall threshold to the blade pitch angle control strategy, thereby suppressing blade stall. Furthermore, the independent blade pitch control strategy capable of suppressing blade stall allows blades with lower stall risk to potentially increase power generation, thus contributing to increased wind turbine power output. Attached Figure Description

[0013] The above and other objects and features of the embodiments of this disclosure will become clearer from the following description taken in conjunction with the accompanying drawings illustrating the embodiments, wherein:

[0014] Figure 1 is a flowchart illustrating a blade stall suppression method for a wind turbine according to an embodiment of the present disclosure;

[0015] Figure 2 is a flowchart illustrating an example of a blade stall suppression method for a wind turbine according to an embodiment of the present disclosure;

[0016] Figure 3 is a flowchart illustrating an example of a blade stall suppression method for a wind turbine according to the present disclosure;

[0017] Figure 4 is a block diagram illustrating a blade stall suppression device for a wind turbine according to an embodiment of the present disclosure;

[0018] Figure 5 is a block diagram illustrating a computer device according to an embodiment of the present disclosure. Detailed Implementation

[0019] The following detailed embodiments are provided to aid the reader in gaining a comprehensive understanding of the methods, apparatus, and / or systems described herein. However, various changes, modifications, and equivalents of the methods, apparatus, and / or systems described herein will become apparent upon understanding this disclosure. For example, the order of operations described herein is merely illustrative and is not limited to those orders set forth herein, but may be changed as will become clear upon understanding this disclosure, except for operations that must occur in a specific order. Furthermore, for clarity and conciseness, descriptions of features known in the art may be omitted.

[0020] The embodiments of this disclosure will now be described in detail with reference to the accompanying drawings, examples of which are illustrated in the drawings, wherein the same reference numerals always refer to the same parts. The embodiments will now be described with reference to the accompanying drawings in order to explain this disclosure.

[0021] As mentioned above, in related technologies, wind turbines (hereinafter referred to as "wind turbines") may experience blade stall during actual operation. The following methods exist for stall protection: reducing the probability of wind turbine blades entering a stall by synchronously limiting the pitch angle of all blades. This synchronous pitch angle limiting scheme is simple and easy to implement in practice, and can control wind turbine stall in some preset scenarios.

[0022] However, the pitch control employed in this method is usually synchronized. But as the impeller size increases, the incoming airflow conditions experienced by each blade differ, and their stall states also differ. This means that when synchronous pitch control is performed while the stall states of each blade are different, the aerodynamic performance of some non-stalled blades is sacrificed to control the stall risk of the remaining blades. Furthermore, judging the blade stall state based on the entire impeller has a significant margin of error, and because the output of each blade is different, this margin of error increases with the size of the impeller.

[0023] To address the aforementioned and other problems in the prior art, this disclosure provides a method and apparatus for suppressing blade stall in wind turbines, as well as a wind turbine using this method. It proposes a stall protection control strategy that combines the blade azimuth angle. For example, it achieves independent control of the pitch angle and determination of the blade stall state based on the superposition of power and wind speed azimuth angle and upper / lower plane wind shear coefficient.

[0024] The blade stall suppression method and apparatus of a wind turbine according to embodiments of the present disclosure are described in detail below with reference to Figures 1 to 5.

[0025] First, the blade stall suppression method of a wind turbine according to an embodiment of the present disclosure will be described in detail with reference to Figures 1 to 3.

[0026] Figure 1 is a flowchart illustrating a blade stall suppression method 100 for a wind turbine according to an embodiment of the present disclosure.

[0027] Referring to Figure 1, according to an embodiment of the present disclosure, in step S101, the blade azimuth angle of the wind turbine, as well as the operating power and / or wind speed, are obtained.

[0028] According to an embodiment of this disclosure, in step S102, the blade azimuth angle and operating power are input into a preset stall threshold prediction model to obtain a power-related azimuth stall threshold, and / or the blade azimuth angle and wind speed are input into a preset stall threshold prediction model to obtain a wind speed-related azimuth stall threshold.

[0029] As an example, if the data further obtained in step S101 includes the wind shear coefficient of the wind turbine generator and / or the rotor speed, the above step S102 may further include the following steps S111 and / or S112:

[0030] In step S111, the blade azimuth angle, operating power, wind shear coefficient and / or impeller speed are input into the preset stall threshold prediction model to obtain the power-related azimuth stall threshold.

[0031] In step S112, the blade azimuth angle, wind speed, wind shear coefficient and / or impeller speed are input into the preset stall threshold prediction model to obtain the azimuth stall threshold related to wind speed.

[0032] As an example, the steps described above for obtaining the azimuth stall threshold related to power and / or the azimuth stall threshold related to wind speed may further include the following steps S1011 to S1013:

[0033] In step S1011, based on the rotor speed and operating power, it is determined whether the wind turbine is in the optimal tracking phase.

[0034] In step S1012, in response to determining that the wind turbine is in the optimal tracking phase, the wind speed and rotor speed are fitted into wind speed-rotor speed data.

[0035] In step S1013, wind speed-rotation speed data, blade azimuth angle, operating power and wind shear coefficient are input into the preset stall threshold prediction model to obtain the power-related azimuth stall threshold and / or the wind speed-related azimuth stall threshold.

[0036] As another example, the steps described above for obtaining the azimuth stall threshold related to power and / or the azimuth stall threshold related to wind speed may further include the following steps S1021 to S1023:

[0037] In step S1021, based on the rotor speed and operating power, it is determined whether the wind turbine is in a transitional phase.

[0038] In step S1022, in response to determining that the wind turbine's operating state is in a transition phase, the rotor speed is set to a preset rated speed.

[0039] In step S1023, the preset rated speed, blade azimuth angle, operating power, wind speed and wind shear coefficient are input into the preset stall threshold prediction model to obtain the azimuth stall threshold related to power and / or the azimuth stall threshold related to wind speed.

[0040] As another example, the steps described above for obtaining the azimuth stall threshold related to power and / or the azimuth stall threshold related to wind speed may further include the following steps S1031 to S1033:

[0041] In step S1031, based on the impeller speed and operating power, it is determined whether the wind turbine is operating at full capacity.

[0042] In step S1032, in response to determining that the wind turbine is operating at full capacity, the rotor speed is set to a preset rated speed and the operating power is set to a preset rated power.

[0043] In step S1033, the preset rated speed, blade azimuth angle, preset rated power, wind speed and wind shear coefficient are input into the preset stall threshold prediction model to obtain the azimuth stall threshold related to power and / or the azimuth stall threshold related to wind speed.

[0044] Furthermore, as an example, if the data further acquired in step S101 includes the wind turbine's operating data and operating environment data (here, the operating data includes the wind turbine's rotor speed, blade azimuth angle, and operating power, and the operating environment data includes wind speed and wind shear coefficient), then the above step S102 may further include the following step S121:

[0045] In step S121, the impeller speed, blade azimuth angle, operating power, wind speed and wind shear coefficient are input into the preset stall threshold prediction model to obtain the azimuth stall threshold related to power and / or the azimuth stall threshold related to wind speed.

[0046] As an example, the steps of obtaining the azimuth stall threshold related to power and / or the azimuth stall threshold related to wind speed may further include the following steps S1041 and S1042:

[0047] In step S1041, the rotor hub height of the wind turbine is obtained; based on the rotor hub height, the upper half-plane / lower half-plane wind shear coefficients associated with the blades and corresponding to the rotor hub height are determined.

[0048] In step S1042, based on the impeller speed, blade azimuth angle, and upper / lower half-plane wind shear coefficient, the azimuth stall threshold related to power and / or the azimuth stall threshold related to wind speed are obtained.

[0049] As an example, the steps of obtaining the azimuth stall threshold related to power and / or the azimuth stall threshold related to wind speed may further include the following steps S1051 and S1052:

[0050] In step S1051, based on the rotor speed, it is determined whether the wind turbine is in the optimal tracking phase.

[0051] In step S1052, in response to determining that the wind turbine is in the optimal tracking phase, the rotor speed is determined as the actual measured value for the rotor speed.

[0052] As an example, the steps of obtaining the azimuth stall threshold related to power and / or the azimuth stall threshold related to wind speed may further include the following steps S1061 and S1062:

[0053] In step S1061, based on the rotor speed, it is determined whether the wind turbine is in the transition phase or the full-load phase.

[0054] In step S1062, in response to determining that the wind turbine is in a transition phase or a full-load phase, the rotor speed is determined to be the actual measured value or the rated speed for the rotor speed.

[0055] According to an embodiment of this disclosure, in step S103, blade pitch angle control of the wind turbine is performed using a power-related azimuth stall threshold and / or a wind speed-related azimuth stall threshold to achieve blade stall suppression.

[0056] As an example, step S103 above may further include steps S131 to S133:

[0057] In step S131, an initial control threshold for controlling the blade pitch angle is obtained.

[0058] In step S132, the updated control threshold is obtained by subtracting the power-related azimuth stall threshold from the initial control threshold, or by subtracting the wind speed-related azimuth stall threshold from the initial control threshold, or by subtracting the smaller of the power-related azimuth stall threshold and the wind speed-related azimuth stall threshold from the initial control threshold.

[0059] In step S133, blade pitch angle control of the wind turbine is performed based on the updated control threshold to achieve blade stall suppression.

[0060] By implementing the embodiments described above according to this disclosure, independent control of the blade pitch angle and determination of blade stall state based on the superimposed azimuth angle of power and / or wind speed are achieved. Furthermore, by considering the wind shear coefficient and / or rotor speed, a more accurate stall threshold based on the superimposed azimuth angle of power and / or wind speed can be obtained, further improving the matching between strategy parameters and actual conditions, further reducing stall risk, and increasing power generation while providing sufficient stall protection for the unit.

[0061] In addition, by equivalently fitting the two parameters of wind speed and impeller speed into a single parameter for the full-power stage where the impeller speed is between the cut-in speed and the rated speed, the determination of the azimuth stall threshold related to power and / or wind speed based on four-dimensional variables is realized during the optimal tracking stage, which can be used to adjust the stall protection threshold.

[0062] In addition, by taking the impeller speed as a quantitative parameter during the transition phase where the impeller speed reaches the rated speed and the fan operating power is less than the rated power, the azimuth stall threshold related to power and / or wind speed is determined based on four-dimensional variables during the transition phase, which can be used to adjust the stall protection threshold.

[0063] In addition, by taking the impeller speed and the fan operating power as rated values ​​during the full-load stage, the impeller speed and power are used as quantitative parameters. This enables the determination of the azimuth stall threshold related to power and / or wind speed based on three-dimensional variables during the full-load stage, which can be used to adjust the stall protection threshold.

[0064] The present invention discloses a method for stall protection with uniform pitch for different blades. By considering the inconsistent stall risk of blades at different azimuth angles, the stall protection threshold can be determined for different blades and different azimuth angles. Different stall protection thresholds can be applied to different blades, thereby achieving differentiated stall protection for different blades.

[0065] Next, a method 100 for suppressing blade stall of a wind turbine according to an embodiment of the present disclosure will be described by way of example with reference to FIG2. FIG2 is a flowchart illustrating an example of a method for suppressing blade stall of a wind turbine according to an embodiment of the present disclosure.

[0066] Referring to Figure 2, according to an embodiment of the present disclosure, in step S201, the operating data and operating environment data of the wind turbine are acquired.

[0067] Here, the operating data includes the rotor speed, blade azimuth angle, and operating power of the wind turbine, and the operating environment data includes wind speed and wind shear coefficient. For example, the data acquisition frequency used to collect the data obtained in this disclosure may be greater than or equal to 1 Hz, but this disclosure is not limited thereto.

[0068] According to an embodiment of this disclosure, in step S202, the impeller speed, blade azimuth angle, operating power, wind speed and wind shear coefficient are input into a preset stall threshold prediction model to obtain the azimuth stall threshold related to power and / or the azimuth stall threshold related to wind speed.

[0069] Here, the preset stall threshold prediction model in this disclosure can be a threshold prediction model based on interpolation methods, a threshold prediction model based on fitting methods, or a threshold prediction model based on machine learning, but this disclosure is not limited to these. As an example, in the case of a threshold prediction model based on interpolation methods (e.g., multidimensional interpolation), the relationship between each parameter and the output result can be shown in Table 1 below.

[0070] Table 1

[0071] As shown in Table 1, for example, by inputting the impeller speed Ri, azimuth angle Ai, power Pi, wind speed Vi and wind shear coefficient Si into the preset stall threshold prediction model, the azimuth stall threshold related to power and / or the azimuth stall threshold related to wind speed Bi can be obtained.

[0072] Furthermore, the azimuth stall threshold according to this disclosure can be positive or negative. Specifically, when the azimuth stall threshold is negative, it can be subtracted from the initial power-pitch angle limit. This allows the unit to use a higher pitch angle at that azimuth angle compared to when the azimuth stall threshold is not used to ensure no stall, thus solving the problem of insufficient pitch angle limits for the unit when the azimuth stall threshold is not used. When the azimuth stall threshold is positive, it can be subtracted from the initial power-pitch angle limit. This allows the unit to use a lower pitch angle at that azimuth angle compared to when the azimuth stall threshold is not used to ensure no stall, thus solving the problem of excessive pitch angle limits for the unit when the azimuth stall threshold is not used.

[0073] As an example, step S202 may further include steps S2201 to S2203:

[0074] In step S2201, the rotor hub height of the wind turbine is obtained.

[0075] In step S2202, based on the blade azimuth angle and the impeller hub height, the upper half-plane / lower half-plane wind shear coefficients associated with the blades and corresponding to the impeller hub height are determined.

[0076] In step S2203, the impeller speed, blade azimuth angle, operating power, wind speed, and upper / lower plane wind shear coefficient are input into the preset stall threshold prediction model to obtain the azimuth stall threshold related to power and / or the azimuth stall threshold related to wind speed.

[0077] By implementing the embodiments described above according to this disclosure, independent control of the pitch angle and determination of the blade stall state are achieved based on the superposition of power and wind speed azimuth and upper / lower plane wind shear coefficients. Furthermore, it solves the problem in existing independent pitch control schemes (aimed at controlling loads to achieve control of bending moment loads or wind farm wake control) that cannot identify the blade stall state (for example, when the wind turbine stalls, the load decreases, and it is necessary to reduce the load on the blades; however, because the blade stall state cannot be identified, the control action of further increasing the pitch angle may be performed, thereby causing the blades to exit the stall state and increasing the load, which contradicts the intended control objective).

[0078] As an example, step S202 may further include steps S2211 to S2213:

[0079] In step S2211, based on the rotor speed and operating power, it is determined whether the wind turbine is in the optimal tracking phase.

[0080] In step S2212, in response to determining that the wind turbine is in the optimal tracking phase, the wind speed and rotor speed are fitted into wind speed-rotor speed data.

[0081] In step S2213, wind speed-rotation speed data, blade azimuth angle, operating power and wind shear coefficient are input into the preset stall threshold prediction model to obtain the power-related azimuth stall threshold and / or the wind speed-related azimuth stall threshold.

[0082] By employing the above embodiments according to this disclosure, and by equivalently fitting the two parameters of wind speed and impeller speed into a single parameter for the full-power stage where the impeller speed is between the cut-in speed and the rated speed, the determination of the azimuth stall threshold related to power and / or wind speed based on four-dimensional variables is achieved during the optimal tracking stage, so as to adjust the stall protection threshold.

[0083] As an example, step S202 may further include steps S2221 to S2223:

[0084] In step S2221, based on the rotor speed and operating power, it is determined whether the wind turbine is in a transitional phase.

[0085] In step S2222, in response to determining that the wind turbine's operating state is in a transition phase, the rotor speed is set to a preset rated speed.

[0086] In step S2223, the preset rated speed, blade azimuth angle, operating power, wind speed and wind shear coefficient are input into the preset stall threshold prediction model to obtain the azimuth stall threshold related to power and / or the azimuth stall threshold related to wind speed.

[0087] By using the above embodiments of this disclosure, and taking the impeller speed as a quantitative parameter during the transition phase where the impeller speed reaches the rated speed and the fan operating power is less than the rated power, the determination of the azimuth stall threshold related to power and / or wind speed based on four-dimensional variables is realized during the transition phase, so as to adjust the stall protection threshold.

[0088] As an example, step S202 may further include steps S2231 to S2233:

[0089] In step S2231, based on the impeller speed and operating power, it is determined whether the wind turbine is operating at full capacity.

[0090] In step S2232, in response to determining that the wind turbine is operating at full capacity, the rotor speed is set to a preset rated speed and the operating power is set to a preset rated power.

[0091] In step S2233, the preset rated speed, blade azimuth angle, preset rated power, wind speed and wind shear coefficient are input into the preset stall threshold prediction model to obtain the azimuth stall threshold related to power and / or the azimuth stall threshold related to wind speed.

[0092] By using the above embodiments of this disclosure, and taking both impeller speed and power as quantitative parameters during the full-load stage when both impeller speed and fan operating power reach their rated values, the determination of the azimuth stall threshold related to power and / or wind speed based on three-dimensional variables is achieved during the full-load stage, so as to adjust the stall protection threshold.

[0093] According to an embodiment of this disclosure, in step S203, blade pitch angle control of the wind turbine is performed using a power-related azimuth stall threshold and / or a wind speed-related azimuth stall threshold to achieve blade stall suppression.

[0094] As an example, step S203 may further include steps S2031 to S2033:

[0095] In step S2031, an initial control threshold for controlling the blade pitch angle is obtained.

[0096] In step S2032, the updated control threshold is obtained by subtracting the power-related azimuth stall threshold from the initial control threshold, or by subtracting the wind speed-related azimuth stall threshold from the initial control threshold, or by subtracting the smaller of the power-related azimuth stall threshold and the wind speed-related azimuth stall threshold from the initial control threshold.

[0097] In step S2033, blade pitch angle control of the wind turbine is performed based on the updated control threshold to achieve blade stall suppression.

[0098] By adopting the above embodiments according to the present disclosure, compared with the scheme that does not adopt the method of the present disclosure, the wind turbine / unit can use a lower or higher pitch angle at a preset azimuth angle to ensure no stall, and compared with the scheme that does not adopt the method of the present disclosure, there is no excessive restriction on the pitch angle or insufficient restriction on the pitch angle.

[0099] The stall protection method disclosed herein, which uses uniform pitch variation for different blades, achieves independent control of the pitch angle and determination of the blade stall state based on the superposition of power and wind speed azimuth and upper / lower plane wind shear coefficients. By considering the inconsistent stall risk of blades at different azimuths, stall protection thresholds can be determined for different blades and different azimuths. Different stall protection thresholds can be applied simultaneously to different blades, thereby achieving differentiated stall protection for different blades.

[0100] The following describes an example of a blade stall suppression method for a wind turbine according to the present disclosure, with reference to FIG3. FIG3 is a flowchart illustrating an example of a blade stall suppression method for a wind turbine according to the present disclosure. Here, it should be noted that the following processing flow can be performed separately for each blade. Furthermore, the timing of performing the following processing flow for each blade can be the same, that is, independent and synchronous control of each blade can be achieved through the following processing flow.

[0101] Referring to Figure 3, in step S301, the operating state of the wind turbine is determined, such as the optimal tracking stage, the transition stage, or the full-load stage.

[0102] In step S302, wind turbine operating data and wind turbine operating environment data related to the above operating status are acquired. For example, wind turbine operating data may include impeller speed, blade azimuth angle, and operating power, and wind turbine operating environment data may include wind speed and wind shear coefficient.

[0103] In step S303, the impeller plane where the current blade is located is determined by the current blade azimuth angle. Here, the impeller hub height is used as a comparison reference. The plane above the horizontal line of the impeller hub height is called the upper half-plane, and the plane below the horizontal line of the impeller hub height is called the lower half-plane.

[0104] In step S304, it is determined whether the impeller plane where the current blade is located belongs to the upper half plane or the lower half plane.

[0105] If it is determined in step S304 that the impeller plane where the current blade is located belongs to the upper half plane, then in step S305, based on the impeller speed, blade azimuth angle, operating power, wind speed and upper half plane wind shear coefficient, calculate the azimuth stall threshold related to power and / or the azimuth stall threshold related to wind speed.

[0106] As an example, depending on the different operating conditions of the wind turbine, at least a portion of the parameters such as impeller speed, blade azimuth angle, operating power, wind speed, and upper half-plane wind shear coefficient can be used to calculate the power-related azimuth stall threshold and / or the wind speed-related azimuth stall threshold. For instance, the power-related azimuth stall threshold and the wind speed-related azimuth stall threshold can be calculated based on the measured azimuth angle, impeller speed, and wind shear coefficient.

[0107] Otherwise, if it is determined in step S304 that the impeller plane where the current blade is located belongs to the lower half-plane, then in step S306, based on the impeller speed, blade azimuth angle, operating power, wind speed and lower half-plane wind shear coefficient, calculate the azimuth stall threshold related to power and / or the azimuth stall threshold related to wind speed.

[0108] As an example, depending on different wind turbine operating conditions, at least a portion of parameters such as impeller speed, blade azimuth angle, operating power, wind speed, and lower half-plane wind shear coefficient can be used to calculate the power-related azimuth stall threshold and / or the wind speed-related azimuth stall threshold. For instance, the power-related azimuth stall threshold and the wind speed-related azimuth stall threshold can be calculated based on the measured azimuth angle, impeller speed, and wind shear coefficient.

[0109] In step S307, the final azimuth stall threshold is output. Here, the power-related azimuth stall threshold can be used as the final azimuth stall threshold, or the wind speed-related azimuth stall threshold can be used as the final azimuth stall threshold, or the power-related azimuth stall threshold and the wind speed-related azimuth stall threshold can be compared, and the smaller of the two can be used as the final azimuth stall threshold.

[0110] According to embodiments of this disclosure, a wind turbine generator set is provided that applies the blade stall suppression method for wind turbine generators as described above.

[0111] Next, a blade stall suppression device for a wind turbine according to an embodiment of the present disclosure will be described with reference to FIG4.

[0112] Figure 4 is a block diagram illustrating a blade stall suppression device 400 for a wind turbine according to an embodiment of the present disclosure.

[0113] Referring to FIG4, the blade stall suppression device 400 of a wind turbine according to an embodiment of the present disclosure may include a data acquisition module 410, a threshold prediction module 420, and a blade control module 430.

[0114] According to an embodiment of this disclosure, the data acquisition module 410 can perform the following: acquire the blade azimuth angle of the wind turbine, as well as the operating power and / or wind speed.

[0115] As an example, the data acquisition module 410 may further perform the following: acquire the wind turbine's operating data and operating environment data. Here, the operating data includes the wind turbine's blade speed, blade azimuth angle, and operating power, and the operating environment data includes wind speed and wind shear coefficient.

[0116] According to an embodiment of this disclosure, the threshold prediction module 420 can perform the following operations: inputting the blade azimuth angle and operating power into a preset stall threshold prediction model to obtain a power-related azimuth stall threshold, and / or inputting the blade azimuth angle and wind speed into a preset stall threshold prediction model to obtain a wind speed-related azimuth stall threshold.

[0117] As an example, if the data acquired by the data acquisition module 410 further includes the wind shear coefficient of the wind turbine generator and / or the rotor speed, the threshold prediction module 420 may further perform the following operations 111) and / or 112):

[0118] In operation 111), the blade azimuth angle, operating power, wind shear coefficient and / or impeller speed are input into the preset stall threshold prediction model to obtain the power-related azimuth stall threshold.

[0119] In operation 112), the blade azimuth angle, wind speed, wind shear coefficient and / or impeller speed are input into the preset stall threshold prediction model to obtain the azimuth stall threshold related to wind speed.

[0120] As an example, the above operations for obtaining the azimuth stall threshold related to power and / or the azimuth stall threshold related to wind speed may further include the following operations 1011) to 1013):

[0121] In Operation 1011, based on the rotor speed and operating power, it is determined whether the wind turbine is in the optimal tracking phase.

[0122] In operation 1012), in response to determining that the wind turbine is in the optimal tracking phase, the wind speed and rotor speed are fitted into wind speed-rotor speed data.

[0123] In operation 1013), wind speed-rotation speed data, blade azimuth angle, operating power and wind shear coefficient are input into the preset stall threshold prediction model to obtain the power-related azimuth stall threshold and / or the wind speed-related azimuth stall threshold.

[0124] As another example, the above operations for obtaining the azimuth stall threshold related to power and / or the azimuth stall threshold related to wind speed may further include the following operations 1021) to 1023):

[0125] In Operation 1021, based on the rotor speed and operating power, it is determined whether the wind turbine is in a transitional phase of operation.

[0126] In operation 1022), in response to determining that the wind turbine's operating state is in a transition phase, the rotor speed is set to a preset rated speed.

[0127] In operation 1023), the preset rated speed, blade azimuth angle, operating power, wind speed and wind shear coefficient are input into the preset stall threshold prediction model to obtain the azimuth stall threshold related to power and / or the azimuth stall threshold related to wind speed.

[0128] As another example, the above operations for obtaining the azimuth stall threshold related to power and / or the azimuth stall threshold related to wind speed may further include the following operations 1031) to 1033):

[0129] In Operation 1031), based on the impeller speed and operating power, it is determined whether the wind turbine is operating at full capacity.

[0130] In operation 1032), in response to determining that the wind turbine is operating at full capacity, the rotor speed is set to a preset rated speed and the operating power is set to a preset rated power.

[0131] In operation 1033), the preset rated speed, blade azimuth angle, preset rated power, wind speed and wind shear coefficient are input into the preset stall threshold prediction model to obtain the azimuth stall threshold related to power and / or the azimuth stall threshold related to wind speed.

[0132] Furthermore, as an example, if the data acquired by the data acquisition module 410 further includes wind turbine operating data and operating environment data (here, the operating data includes the wind turbine's rotor speed, blade azimuth angle, and operating power, and the operating environment data includes wind speed and wind shear coefficient), the threshold prediction module 420 may further perform operations 121, which may further include the following:

[0133] In operation 121), the impeller speed, blade azimuth angle, operating power, wind speed and wind shear coefficient are input into the preset stall threshold prediction model to obtain the azimuth stall threshold related to power and / or the azimuth stall threshold related to wind speed.

[0134] As an example, the operation of obtaining the azimuth stall threshold related to power and / or the azimuth stall threshold related to wind speed may further include the following operations 1041) and 1042):

[0135] In operation 1041), the rotor hub height of the wind turbine is obtained; based on the rotor hub height, the upper half-plane / lower half-plane wind shear coefficients associated with the blades and corresponding to the rotor hub height are determined.

[0136] In operation 1042), based on impeller speed, blade azimuth angle and upper / lower half-plane wind shear coefficient, the power-related azimuth stall threshold and / or the wind speed-related azimuth stall threshold are obtained.

[0137] As an example, the operation of obtaining the azimuth stall threshold related to power and / or the azimuth stall threshold related to wind speed may further include the following operations 1051) and 1052):

[0138] In operation 1051), based on the impeller speed, it is determined whether the wind turbine is in the optimal tracking phase.

[0139] In operation 1052), in response to determining that the wind turbine is in the optimal tracking phase, the rotor speed is determined to be the actual measured value for the rotor speed.

[0140] As an example, the operation of obtaining the azimuth stall threshold related to power and / or the azimuth stall threshold related to wind speed may further include the following operations 1061) and 1062):

[0141] In operation 1061), based on the impeller speed, it is determined whether the wind turbine is in the transition phase or the full-load phase.

[0142] In operation 1062), in response to determining that the wind turbine is in a transition phase or a full-load phase, the rotor speed is determined to be the actual measured value or the rated speed for the rotor speed.

[0143] As an example, the threshold prediction module 420 may further perform the following: inputting the blade rotation speed, blade azimuth angle, operating power, wind speed and wind shear coefficient into a preset stall threshold prediction model to obtain the azimuth stall threshold related to power and / or the azimuth stall threshold related to wind speed.

[0144] As an example, the threshold prediction module 420 inputs impeller speed, blade azimuth angle, operating power, wind speed, and wind shear coefficient into a preset stall threshold prediction model to obtain the azimuth stall threshold related to power and / or the azimuth stall threshold related to wind speed. The operation may include operations 4201) to 4203):

[0145] In operation 4201), obtain the rotor hub height of the wind turbine.

[0146] In operation 4202), based on the blade azimuth angle and impeller hub height, the upper half-plane / lower half-plane wind shear coefficients associated with the blade and corresponding to the impeller hub height are determined.

[0147] In operation 4203), the impeller speed, blade azimuth angle, operating power, wind speed and upper / lower plane wind shear coefficient are input into the preset stall threshold prediction model to obtain the azimuth stall threshold related to power and / or the azimuth stall threshold related to wind speed.

[0148] As an example, the threshold prediction module 420 inputs impeller speed, blade azimuth angle, operating power, wind speed, and wind shear coefficient into a preset stall threshold prediction model to obtain the azimuth stall threshold related to power and / or the azimuth stall threshold related to wind speed. This operation may include operations 4211) to 4213):

[0149] In operation 4211), based on the impeller speed and operating power, it is determined whether the wind turbine is in the optimal tracking phase.

[0150] In operation 4212), in response to determining that the wind turbine is in the optimal tracking phase, the wind speed and rotor speed are fitted into wind speed-rotor speed data.

[0151] In operation 4213), wind speed-rotation speed data, blade azimuth angle, operating power and wind shear coefficient are input into the preset stall threshold prediction model to obtain the power-related azimuth stall threshold and / or the wind speed-related azimuth stall threshold.

[0152] As another example, the threshold prediction module 420 inputs impeller speed, blade azimuth angle, operating power, wind speed, and wind shear coefficient into a preset stall threshold prediction model to obtain the power-related azimuth stall threshold and / or the wind speed-related azimuth stall threshold. The operation may include operations 4221) to 4223):

[0153] In operation 4221), based on the impeller speed and operating power, it is determined whether the wind turbine is in a transitional phase.

[0154] In operation 4222), in response to determining that the wind turbine's operating state is in a transition phase, the rotor speed is set to a preset rated speed.

[0155] In operation 4223), the preset rated speed, blade azimuth angle, operating power, wind speed and wind shear coefficient are input into the preset stall threshold prediction model to obtain the azimuth stall threshold related to power and / or the azimuth stall threshold related to wind speed.

[0156] As another example, the threshold prediction module 420 inputs impeller speed, blade azimuth angle, operating power, wind speed, and wind shear coefficient into a preset stall threshold prediction model to obtain the power-related azimuth stall threshold and / or the wind speed-related azimuth stall threshold. The operation may include operations 4231) to 4233):

[0157] In operation 4231), based on the impeller speed and operating power, it is determined whether the wind turbine is operating at full capacity.

[0158] In operation 4232), in response to determining that the wind turbine is operating at full capacity, the rotor speed is set to the preset rated speed and the operating power is set to the preset rated power.

[0159] In operation 4233), the preset rated speed, blade azimuth angle, preset rated power, wind speed and wind shear coefficient are input into the preset stall threshold prediction model to obtain the azimuth stall threshold related to power and / or the azimuth stall threshold related to wind speed.

[0160] According to embodiments of this disclosure, the blade control module 430 can perform blade pitch angle control of the wind turbine generator using a power-related azimuth stall threshold and / or a wind speed-related azimuth stall threshold to achieve blade stall suppression.

[0161] As an example, the blade control module 430 may further perform operations 131) to 133):

[0162] In operation 131), the initial control threshold for controlling the blade pitch angle is obtained.

[0163] In operation 132), the updated control threshold is obtained by subtracting the power-related azimuth stall threshold from the initial control threshold, or by subtracting the wind speed-related azimuth stall threshold from the initial control threshold, or by subtracting the smaller of the power-related azimuth stall threshold and the wind speed-related azimuth stall threshold from the initial control threshold.

[0164] In operation 133), blade pitch angle control of the wind turbine is performed based on the updated control threshold to achieve blade stall suppression.

[0165] As an example, the blade control module 430 may further perform: using a power-related azimuth stall threshold and / or a wind speed-related azimuth stall threshold to perform blade pitch angle control on the wind turbine to achieve blade stall suppression.

[0166] As an example, the blade control module 430 may perform blade pitch angle control of the wind turbine generator using a power-related azimuth stall threshold and / or a wind speed-related azimuth stall threshold to achieve blade stall suppression. This operation may further include operations 4301) to 4303):

[0167] In operation 4301), the initial control threshold for controlling the blade pitch angle is obtained.

[0168] In operation 4302), the updated control threshold is obtained by subtracting the power-related azimuth stall threshold from the initial control threshold, or by subtracting the wind speed-related azimuth stall threshold from the initial control threshold, or by subtracting the smaller of the power-related azimuth stall threshold and the wind speed-related azimuth stall threshold from the initial control threshold.

[0169] In operation 4303), when the updated control threshold is greater than the initial threshold, blade pitch angle control of the wind turbine is performed based on the updated control threshold to achieve blade stall suppression. When the updated control threshold is less than or equal to the initial threshold, blade pitch angle control of the wind turbine is performed based on the initial control threshold to achieve blade stall suppression.

[0170] It should be noted that the operations performed on the above structural blocks are similar to those described with reference to Figures 1 and 2, and will not be repeated here.

[0171] Figure 5 is a block diagram illustrating a computing device 500 according to an embodiment of the present disclosure.

[0172] Referring to FIG5, a computing device 500 according to an embodiment of the present disclosure may include a processor 510 and a memory 520. The processor 510 may include (but is not limited to) a central processing unit (CPU), a digital signal processor (DSP), a microcomputer, a field-programmable gate array (FPGA), a system-on-a-chip (SoC), a microprocessor, an application-specific integrated circuit (ASIC), etc. The memory 520 may store computer-executable instructions to be executed by the processor 510. The memory 520 includes high-speed random access memory and / or a non-volatile computer-readable storage medium. When the processor 510 executes the computer-executable instructions stored in the memory 520, the blade stall suppression method of the wind turbine described above can be implemented.

[0173] The wind turbine blade stall suppression method according to embodiments of this disclosure can be written as a computer program / instructions to form a computer program product and stored on a computer-readable storage medium. When the computer program / instructions are executed by a processor, the wind turbine blade stall suppression method as described above can be implemented. When the instructions in the computer-readable storage medium are executed by a processor of an electronic device / server, the electronic device / server is enabled to perform the wind turbine blade stall suppression method as described above. Examples of computer-readable storage media include: read-only memory (ROM), random access programmable read-only memory (PROM), electrically erasable programmable read-only memory (EEPROM), random access memory (RAM), dynamic random access memory (DRAM), static random access memory (SRAM), flash memory, non-volatile memory, CD-ROM, CD-R, CD+R, CD-RW, CD+RW, DVD-ROM, DVD-R, DVD+R, DVD-RW, DVD+RW, DVD-RAM, BD-ROM, BD-R, BD-RLTH, B D-RE, Blu-ray or optical disc storage, hard disk drive (HDD), solid-state drive (SSD), card storage (such as multimedia cards, secure digital (SD) cards, or ultra-fast digital (XD) cards), magnetic tape, floppy disk, magneto-optical data storage device, optical data storage device, hard disk, solid-state drive, and any other device configured to store a computer program and any associated data, data files, and data structures in a non-transitory manner and to provide the computer program and any associated data, data files, and data structures to a processor or computer so that the processor or computer can execute the computer program. In one example, the computer program and any associated data, data files, and data structures are distributed across a networked computer system, such that the computer program and any associated data, data files, and data structures are stored, accessed, and executed in a distributed manner through one or more processors or computers.

[0174] The wind turbine blade stall suppression method and apparatus according to embodiments of the present disclosure achieve independent pitch control for each blade by applying a power-related azimuth stall threshold and / or a wind speed-related azimuth stall threshold to the blade pitch angle control strategy, thereby enabling blade stall suppression.

[0175] On the other hand, the wind turbine blade stall suppression method and apparatus according to the embodiments of this disclosure, through the blade independent pitch control strategy that can realize blade stall suppression, can enable blades with lower stall risk to have the ability to increase power generation, thereby helping to increase the power generation of the wind turbine.

[0176] On the other hand, by controlling the stall conditions of the wind turbine / unit in different azimuth angle ranges, the load and power fluctuations caused by the blade entering and exiting stall within an operating cycle can be avoided, thereby extending the blade life.

[0177] On the other hand, by controlling the risk of blade stall in wind turbines / units, the power generation of wind turbines / units can be maximized throughout their entire life cycle.

[0178] On the other hand, by applying differentiated limits to the pitch angles of multiple blades in practical applications, frequent pitch changes can be avoided, thereby reducing load fatigue on wind turbine components, such as bearings. Therefore, the method proposed in this disclosure can also be used to control ultimate loads and reduce fatigue loads. Furthermore, by using independent pitch changes for multiple blades simultaneously, the unit can increase power output while achieving sufficient stall protection, thus enhancing the unit's power generation capacity under different blade conditions or at different turbine positions.

[0179] While some embodiments of this disclosure have been disclosed and described, those skilled in the art will understand that modifications and variations may be made to these embodiments without departing from the concept and spirit of this disclosure, which is defined by the claims and their equivalents.

Claims

1. A method for suppressing blade stall in a wind turbine generator, characterized in that, The blade stall suppression method includes: Obtain the blade azimuth angle of the wind turbine, as well as its operating power and / or wind speed; The blade azimuth angle and the operating power are input into a preset stall threshold prediction model to obtain a power-related azimuth stall threshold, and / or the blade azimuth angle and the wind speed are input into a preset stall threshold prediction model to obtain a wind speed-related azimuth stall threshold. By utilizing the power-related azimuth stall threshold and / or the wind speed-related azimuth stall threshold, blade pitch angle control of the wind turbine is performed to achieve blade stall suppression.

2. The blade stall suppression method as described in claim 1, characterized in that, The steps of obtaining the blade azimuth angle of the wind turbine, as well as the operating power and / or wind speed, include: Obtain the wind shear coefficient and / or rotor speed of the wind turbine. The steps of inputting the blade azimuth angle and the operating power into a preset stall threshold prediction model to obtain a power-related azimuth stall threshold, and / or inputting the blade azimuth angle and the wind speed into a preset stall threshold prediction model to obtain a wind speed-related azimuth stall threshold include: The blade azimuth angle, the operating power, the wind shear coefficient, and / or the impeller speed are input into a preset stall threshold prediction model to obtain a power-related azimuth stall threshold; and / or The blade azimuth angle, wind speed, wind shear coefficient, and / or impeller speed are input into a preset stall threshold prediction model to obtain the azimuth stall threshold related to wind speed.

3. The blade stall suppression method as described in claim 1, characterized in that, The steps of obtaining the blade azimuth angle of the wind turbine, as well as the operating power and / or wind speed, include: The system acquires operational data and environmental data for the wind turbine. The operational data includes the turbine's rotor speed, blade azimuth angle, and operating power. The environmental data includes wind speed and wind shear coefficient. The steps of inputting the blade azimuth angle and the operating power into a preset stall threshold prediction model to obtain a power-related azimuth stall threshold, and / or inputting the blade azimuth angle and the wind speed into a preset stall threshold prediction model to obtain a wind speed-related azimuth stall threshold include: The impeller speed, blade azimuth angle, operating power, wind speed, and wind shear coefficient are input into a preset stall threshold prediction model to obtain the azimuth stall threshold related to power and / or the azimuth stall threshold related to wind speed.

4. The blade stall suppression method as described in claim 2, characterized in that, The steps for obtaining the power-related azimuth stall threshold and / or the wind speed-related azimuth stall threshold include: Based on the impeller speed and the operating power, determine whether the wind turbine is in the optimal tracking phase. In response to determining that the wind turbine is in the optimal tracking phase, the wind speed and the rotor speed are fitted into wind speed-rotor speed data; The wind speed-rotation speed data, the blade azimuth angle, the operating power, and the wind shear coefficient are input into the preset stall threshold prediction model to obtain the power-related azimuth stall threshold and / or the wind speed-related azimuth stall threshold.

5. The blade stall suppression method as described in claim 2, characterized in that, The steps for obtaining the power-related azimuth stall threshold and / or the wind speed-related azimuth stall threshold include: Based on the rotor speed and the operating power, determine whether the wind turbine is in a transitional phase. In response to determining that the wind turbine's operating state is in a transition phase, the rotor speed is set to a preset rated speed; The preset rated speed, the blade azimuth angle, the operating power, the wind speed, and the wind shear coefficient are input into the preset stall threshold prediction model to obtain the power-related azimuth stall threshold and / or the wind speed-related azimuth stall threshold.

6. The blade stall suppression method as described in claim 2, characterized in that, The steps for obtaining the power-related azimuth stall threshold and / or the wind speed-related azimuth stall threshold include: Based on the impeller speed and the operating power, determine whether the wind turbine is operating at full capacity. In response to determining that the wind turbine is operating at full capacity, the rotor speed is set to a preset rated speed, and the operating power is set to a preset rated power. The preset rated speed, the blade azimuth angle, the preset rated power, the wind speed, and the wind shear coefficient are input into the preset stall threshold prediction model to obtain the power-related azimuth stall threshold and / or the wind speed-related azimuth stall threshold.

7. The blade stall suppression method as described in claim 1, characterized in that, The step of using the power-related azimuth stall threshold and / or the wind speed-related azimuth stall threshold to perform blade pitch angle control on the wind turbine to achieve blade stall suppression includes: Obtain the initial control threshold for controlling the blade pitch angle; The updated control threshold is obtained by subtracting the power-related azimuth stall threshold from the initial control threshold, or by subtracting the wind speed-related azimuth stall threshold from the initial control threshold, or by subtracting the smaller of the power-related azimuth stall threshold and the wind speed-related azimuth stall threshold from the initial control threshold. The updated control threshold is used to perform blade pitch angle control on the wind turbine to achieve blade stall suppression.

8. The blade stall suppression method as described in claim 2, characterized in that, The steps for obtaining the power-related azimuth stall threshold and / or the wind speed-related azimuth stall threshold include: Obtain the rotor hub height of the wind turbine; Based on the impeller hub height, determine the upper / lower half-plane wind shear coefficients that are associated with the blades and correspond to the impeller hub height; Based on the impeller speed, the blade azimuth angle, and the wind shear coefficient of the upper / lower half-plane, the azimuth stall threshold related to power and / or the azimuth stall threshold related to wind speed are obtained.

9. The blade stall suppression method as described in claim 2, characterized in that, The steps for obtaining the power-related azimuth stall threshold and / or the wind speed-related azimuth stall threshold include: Based on the impeller speed, determine whether the wind turbine is in the optimal tracking phase. In response to determining that the wind turbine is in the optimal tracking phase, the rotor speed is determined as the actual measured value for the rotor speed.

10. The blade stall suppression method as described in claim 9, characterized in that, The steps for obtaining the power-related azimuth stall threshold and / or the wind speed-related azimuth stall threshold include: Based on the impeller speed, determine whether the wind turbine is in a transition phase or a full-load phase. In response to determining that the wind turbine is operating in a transition phase or a full-load phase, the rotor speed is determined to be the actual measured value or the rated speed for the rotor speed.

11. A computer-readable storage medium, characterized in that, When the instructions in the computer-readable storage medium are executed by at least one processor, the at least one processor causes the at least one processor to perform the blade stall suppression method for a wind turbine as described in any one of claims 1 to 10.

12. A computer program product comprising computer instructions, characterized in that, When the computer instructions are executed by at least one processor, the at least one processor is caused to perform the blade stall suppression method for a wind turbine as described in any one of claims 1 to 10.

13. A computing device, characterized in that, The computing device includes: at least one processor; at least one memory storing computer-executable instructions, wherein, when executed by the at least one processor, the computer-executable instructions cause the at least one processor to perform the blade stall suppression method for a wind turbine as described in any one of claims 1 to 10.

14. A wind turbine generator set, characterized in that, The wind turbine generator set employs the blade stall suppression method for wind turbines as described in any one of claims 1 to 10.

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