Wind turbine generator system shutdown control method and device, computing system, and storage medium

Abstract

The present disclosure relates to a wind turbine generator set shutdown control method and device, a computing system and a storage medium. The wind turbine generator set shutdown control method comprises: in response to a shutdown strategy of a wind turbine generator set being triggered, obtaining operating parameters and wind resource parameters of the wind turbine generator set, and predicting a wind speed; for each of a plurality of groups of pre-set shutdown control parameters, predicting a tower load after the shutdown strategy is triggered by using the obtained operating parameters and wind resource parameters of the wind turbine generator set and the predicted wind speed; determining a group of shutdown control parameters corresponding to an optimal tower load from the plurality of groups of pre-set shutdown control parameters, and using the determined shutdown control parameters to control the wind turbine generator set to shut down. By adopting the present disclosure, the tower load can be reduced to improve the safety of the wind turbine generator set, and the tower design weight can be reduced, thereby reducing the manufacturing cost of the wind turbine generator set.

Description

TECHNICAL FIELD

[0001] The present disclosure belongs to the technical field of wind power generation, and more particularly to a wind turbine generator set shutdown control method and device, a computing system and a storage medium. BACKGROUND

[0002] When a fault occurs in the field operation of a wind turbine generator set or normal shutdown is required, a shutdown strategy is triggered, for example, a power grid outage shutdown strategy is triggered when a power grid outage fault occurs. For a shutdown strategy by adjusting the pitch rate, the value of the pitch rate usually needs to be adjusted according to the load of the wind turbine generator set, and in some cases the pitch rate is also set in a segmented manner.

[0003] However, the shutdown strategy used in the field is usually determined in the simulation stage. Since the pitch parameters cannot be adjusted according to the field environment and the operating state of the unit, in order to ensure the safety of the unit under various simulation conditions, a larger load that envelopes all scenarios is often obtained. Currently, for a shutdown strategy by adjusting the pitch rate, the pitch rate parameter is usually set according to the simulated load condition, and does not change with changes in conditions such as the location of the unit, the field environment (such as wind speed), and the operating state. However, the control parameters may exhibit different performances under different simulation conditions of the same working condition.

[0004] For example, Figure 7 Fig. 1 shows a curve diagram of the tower load corresponding to the cut-out wind speed and the rated wind speed above the rated wind speed under a constant pitch rate shutdown strategy, Figure 8 Fig. 2 shows a curve diagram of the tower load corresponding to the cut-out wind speed and the rated wind speed above the rated wind speed under a non-constant pitch rate shutdown strategy. As Figure 7 As shown in Fig. 1, under the power grid outage working condition, the constant pitch rate shutdown strategy may result in a larger tower load near the cut-out wind speed. As Figure 8 As shown in Fig. 2, the non-constant pitch rate shutdown strategy may result in a decrease in the tower load near the cut-out wind speed but may also excite the tower load above the rated wind speed. The overall tower load is the superposition of the loads corresponding to the cut-out wind speed and the wind speed above the rated wind speed.

[0005] Therefore, regardless of whether the constant pitch rate shutdown strategy or the non-constant pitch rate shutdown strategy is ultimately adopted, the overall superposition load of the tower under the same fault working condition is large. When the maximum limit load of the tower occurs in this fault working condition, in order to ensure the safety of the tower, a heavier tower must be designed, resulting in an increase in the manufacturing cost of the wind turbine generator set. SUMMARY

[0006] To solve the above problems, the present disclosure provides a wind turbine generator set shutdown control method and device, a computing system and a storage medium.

[0007] According to an aspect of the present disclosure, a wind turbine generator set shutdown control method can include, in response to a shutdown strategy of a wind turbine generator set being triggered, acquiring operating parameters and wind resource parameters of the wind turbine generator set, and predicting a wind speed; for each of a plurality of groups of pre-set shutdown control parameters, predicting a tower load after the shutdown strategy is triggered using the acquired operating parameters and wind resource parameters of the wind turbine generator set and the predicted wind speed; determining a group of shutdown control parameters corresponding to an optimal tower load from the plurality of groups of pre-set shutdown control parameters, and controlling the wind turbine generator set to shutdown using the determined shutdown control parameters.

[0008] Optionally, the optimal tower load can be less than a tower load corresponding to a cut-out wind speed and a rated wind speed.

[0009] Optionally, the shutdown control parameters can include a pitch rate and / or a generator torque.

[0010] Optionally, the wind turbine generator set shutdown control method can further include, in response to the shutdown strategy of the wind turbine generator set being triggered, determining a shutdown type of the wind turbine generator set, and selecting a plurality of groups of pre-set shutdown control parameters corresponding to the determined shutdown type as the plurality of groups of pre-set shutdown control parameters.

[0011] Optionally, the shutdown type can include a normal shutdown, a grid outage fault shutdown, a blade runaway fault shutdown, and a stuck pitch fault shutdown.

[0012] Optionally, the wind resource parameters can include at least one of an air density, a wind shear, an inflow angle, and a wind speed, and the operating parameters of the wind turbine generator set can include at least one of a pitch angle, a pitch rate, a rotational speed, and a generator torque.

[0013] Optionally, the step of predicting the wind speed can include predicting a wind speed value within a predetermined time period after the shutdown strategy of the wind turbine generator set is triggered, and the step of predicting the tower load after the shutdown strategy is triggered can include predicting a tower load curve within the predetermined time period after the shutdown strategy is triggered.

[0014] Optionally, the step of determining a group of shutdown control parameters corresponding to an optimal tower load from the plurality of groups of pre-set shutdown control parameters can include determining a tower load curve having a smallest peak value from the predicted tower load curves as an optimal tower load curve, and determining a group of shutdown control parameters corresponding to the optimal tower load curve.

[0015] Optionally, the wind turbine generator set shutdown control method can further comprise predicting a rotational speed of the wind turbine generator set using the obtained operating parameters and wind resource parameters of the wind turbine generator set, the predicted wind speed, and a default shutdown control parameter set in advance, and determining whether to perform a safety chain shutdown according to the predicted rotational speed of the wind turbine generator set.

[0016] Optionally, the step of predicting the wind speed can comprise predicting a wind speed value within a predetermined time period after the shutdown strategy of the wind turbine generator set is triggered, and the step of predicting the rotational speed of the wind turbine generator set can comprise predicting a rotational speed within the predetermined time period after the shutdown strategy of the wind turbine generator set is triggered.

[0017] Optionally, the safety chain shutdown is determined to be performed in response to the predicted rotational speed of the wind turbine generator set being greater than a predetermined threshold.

[0018] According to another aspect of the present disclosure, a wind turbine generator set shutdown control device is provided, which can comprise a data acquisition unit configured to acquire operating parameters and wind resource parameters of a wind turbine generator set in response to a shutdown strategy of the wind turbine generator set being triggered, and predict a wind speed; a prediction unit configured to predict a tower load after the shutdown strategy is triggered using the acquired operating parameters and wind resource parameters of the wind turbine generator set and the predicted wind speed for each of a plurality of sets of pre-set shutdown control parameters; and a shutdown control unit configured to determine a set of shutdown control parameters corresponding to an optimal tower load from the plurality of sets of pre-set shutdown control parameters, and control the wind turbine generator set to shutdown using the determined shutdown control parameters.

[0019] Optionally, the optimal tower load can be less than a tower load corresponding to a cut-out wind speed and a rated wind speed.

[0020] Optionally, the shutdown control parameters can comprise a pitch rate and / or a generator torque.

[0021] Optionally, the shutdown control unit can determine a shutdown type of the wind turbine generator set in response to the shutdown strategy of the wind turbine generator set being triggered, and can select a number of sets of pre-set shutdown control parameters corresponding to the determined shutdown type as the plurality of sets of pre-set shutdown control parameters.

[0022] Optionally, the shutdown type can comprise a normal shutdown, a grid outage fault shutdown, a blade runaway fault shutdown, and a stuck pitch fault shutdown.

[0023] Optionally, the wind resource parameters can comprise at least one of air density, wind shear, inflow angle, and wind speed, and the operating parameters of the wind turbine generator set can comprise at least one of a pitch angle, a pitch rate, a rotational speed, and a generator torque.

[0024] Optionally, the prediction unit can predict the wind speed values for a predetermined time period after the shutdown strategy of the wind turbine is triggered, and the tower load after the shutdown strategy is triggered can include a tower load curve for the predetermined time period after the shutdown strategy is triggered.

[0025] Optionally, the shutdown control unit can determine a tower load curve with a minimum peak value in the predicted tower load curves as an optimal tower load curve, and can determine a set of shutdown control parameters corresponding to the optimal tower load curve.

[0026] Optionally, the prediction unit can predict the rotational speed of the wind turbine using the obtained operating parameters and wind resource parameters of the wind turbine, the predicted wind speed, and pre-set default shutdown control parameters, and the shutdown control unit can determine whether to perform a safety chain shutdown according to the predicted rotational speed of the wind turbine.

[0027] Optionally, the prediction unit can predict the wind speed values for a predetermined time period after the shutdown strategy of the wind turbine is triggered, and can predict the rotational speed of the wind turbine for the predetermined time period after the shutdown strategy of the wind turbine is triggered.

[0028] Optionally, the shutdown control unit can determine to perform a safety chain shutdown in response to the predicted rotational speed of the wind turbine being greater than a predetermined threshold value.

[0029] According to another aspect of the present disclosure, there is provided a wind turbine shutdown control system, the wind turbine shutdown control system comprising a converter, a generator, a variable pitch motor, and a wind turbine shutdown control device as described above.

[0030] According to another aspect of the present disclosure, there is provided a computing system comprising at least one computing device and at least one storage device storing instructions, wherein the instructions, when executed by the at least one computing device, cause the at least one computing device to perform a wind turbine shutdown control method as described above.

[0031] According to another aspect of the present disclosure, there is provided a computer-readable storage medium storing instructions, wherein the instructions, when executed by at least one computing device, cause the at least one computing device to perform a wind turbine shutdown control method as described above.

[0032] By adopting the present disclosure, the optimal shutdown control parameter during fault shutdown can be set according to the on-site wind condition and the operating state of the unit, so as to reduce the tower load; the tower load can be reduced to improve the safety of the wind turbine generator unit, and the simulation value of the tower load can be reduced due to the adoption of the control parameter for covering all shutdown conditions in the tower design stage, so the weight of the tower design can be reduced, thereby reducing the manufacturing cost of the wind turbine generator unit. BRIEF DESCRIPTION OF DRAWINGS

[0033] The above and / or other objects and advantages of the present disclosure will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings in which:

[0034] Figure 1 is a flowchart illustrating a wind turbine generator unit shutdown control method according to an exemplary embodiment of the present disclosure;

[0035] Figure 2 is a flowchart illustrating a shutdown control method for grid outage fault shutdown according to an exemplary embodiment of the present disclosure;

[0036] Figure 3 is a schematic diagram illustrating a constant variable pitch rate mode and a non-constant variable pitch rate mode;

[0037] Figure 4 is a schematic diagram illustrating prediction of a rotational speed and a tower load using a prediction algorithm according to an exemplary embodiment of the present disclosure;

[0038] Figure 5 is a block diagram of a wind turbine generator unit shutdown control device according to an exemplary embodiment of the present disclosure;

[0039] Figure 6 is a schematic diagram of a wind turbine generator unit shutdown control system according to an exemplary embodiment of the present disclosure;

[0040] Figure 7 is a curve diagram illustrating tower loads corresponding to cut-out wind speeds and rated wind speeds above the rated wind speed in a constant variable pitch rate shutdown strategy;

[0041] Figure 8 is a curve diagram illustrating tower loads corresponding to cut-out wind speeds and rated wind speeds above the rated wind speed in a non-constant variable pitch rate shutdown strategy. DETAILED DESCRIPTION

[0042] Exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings, in which like reference numerals refer to like elements. The embodiments will be described below by explaining the reference numerals in the drawings.

[0043] Figure 1FIG. 1 is a flowchart illustrating a wind turbine park shutdown control method 100 according to an example embodiment of the present disclosure.

[0044] Referring to Figure 1 The wind turbine park shutdown control method 100 according to an example embodiment of the present disclosure can start at step S101. Subsequently, at step S102, it can be determined whether a shutdown strategy of a wind turbine park is triggered. If it is determined at step S102 that the shutdown strategy of the wind turbine park is triggered, operating parameters and wind resource parameters of the wind turbine park can be acquired at step S103. In an example, the wind resource parameters can include at least one of air density, wind shear, inflow angle, and wind speed, and the operating parameters of the wind turbine park can include at least one of a pitch angle, a pitch rate, a rotational speed, and a generator torque. The wind speed can then be predicted at step S104. For example, the wind speed can be predicted using a lidar and a wind speed prediction algorithm based on a database query, machine learning, or deep learning, etc. In addition, predicting the wind speed can include predicting a wind speed value within a predetermined time period (e.g., several seconds or tens of seconds) after the shutdown strategy of the wind turbine park is triggered.

[0045] After acquiring the operating parameters and the wind resource parameters of the wind turbine park and predicting the wind speed, at step S105, for each of a plurality of sets of pre-set shutdown control parameters, a tower load after the shutdown strategy is triggered can be predicted using the acquired operating parameters and the wind resource parameters of the wind turbine park and the predicted wind speed. In an example, the shutdown control parameters can include a pitch rate and / or a generator torque. In one example, in response to the shutdown strategy of the wind turbine park being triggered, a shutdown type of the wind turbine park can be determined (e.g., by a fault flag bit to determine the shutdown type), and a number of sets of pre-set shutdown control parameters corresponding to the determined shutdown type are selected as the plurality of sets of pre-set shutdown control parameters. For example, the shutdown type can include a normal shutdown, a grid outage fault shutdown, a blade runaway fault shutdown, and a stuck pitch fault shutdown. In one example, if it is determined that the shutdown type of the wind turbine park is the grid outage fault shutdown, a plurality of sets of pre-set pitch rate parameters corresponding to the grid outage fault shutdown are selected as the plurality of sets of pre-set shutdown control parameters for which the tower load prediction is needed. In another example, if it is determined that the shutdown type of the wind turbine park is the blade runaway fault shutdown or the stuck pitch fault shutdown, a plurality of sets of pre-set generator torque parameters corresponding to the blade runaway fault shutdown or the stuck pitch fault shutdown are selected as the plurality of sets of pre-set shutdown control parameters for which the tower load prediction is needed.

[0046] After predicting the tower load after the shutdown strategy is triggered by using the acquired operating parameters and wind resource parameters of the wind turbine generator set and the predicted wind speed for each of the plurality of groups of pre-set shutdown control parameters, a group of shutdown control parameters corresponding to the optimal tower load can be determined in step S106 from the plurality of groups of pre-set shutdown control parameters, and the wind turbine generator set is controlled to shut down using the determined shutdown control parameters. In an example, the optimal tower load is less than the tower load corresponding to the cut-out wind speed and the rated wind speed, so that when the wind turbine generator set is controlled to shut down using the fault shutdown strategy under the field wind condition and the operating state of the wind turbine generator set, the tower load is less than the tower load corresponding to the cut-out wind speed and the rated wind speed, thereby minimizing the accumulated load of the tower as a whole.

[0047] It should be noted that the accumulated load can be explained as the accumulation of the load of the tower of the wind turbine generator set during the process of experiencing different wind conditions, for example, the accumulation of the tower load under the conditions of the cut-out wind speed and the rated wind speed and above.

[0048] In addition, the predicted tower load after the shutdown strategy is triggered can include a tower load curve within a predetermined time period (for example, a few seconds or tens of seconds) after the shutdown strategy is triggered. In an example, the step of determining a group of shutdown control parameters corresponding to the optimal tower load from the plurality of groups of pre-set shutdown control parameters can include determining a tower load curve with the smallest peak value in the predicted tower load curve as the optimal tower load curve, and determining a group of shutdown control parameters corresponding to the optimal tower load curve. After the wind turbine generator set is controlled to shut down using the determined shutdown control parameters, the method 100 can end in step S107.

[0049] In addition, the wind turbine generator set shutdown control method can further include predicting the rotational speed of the wind turbine generator set by using the acquired operating parameters and wind resource parameters of the wind turbine generator set, the predicted wind speed, and the pre-set default shutdown control parameters, and determining whether to perform a safety chain (NA) shutdown according to the predicted rotational speed of the wind turbine generator set. In an example, predicting the wind speed can include predicting the wind speed value within a predetermined time period (for example, a few seconds or tens of seconds) after the shutdown strategy of the wind turbine generator set is triggered, and predicting the rotational speed of the wind turbine generator set can include predicting the rotational speed within the predetermined time period (for example, a few seconds or tens of seconds) after the shutdown strategy of the wind turbine generator set is triggered. Specifically, it can be determined to perform the safety chain shutdown in response to the predicted rotational speed of the wind turbine generator set being greater than a predetermined threshold.

[0050] It should be understood that, Figure 1 The flowchart shown is only an example, and steps can be added or reduced as needed, or the order between steps can be changed, for example, steps S103 and S104 can be executed simultaneously.

[0051] Figure 2 is a flow chart illustrating a shutdown control method 200 for grid collapse fault shutdown according to an example embodiment of the present disclosure.

[0052] Referring to Figure 2 At step S201, it can be determined that the shutdown type of the wind turbine generator system is a grid collapse fault shutdown. For example, the shutdown type of the wind turbine generator system can be determined to be a grid collapse fault shutdown according to a shutdown flag. Subsequently, at step S202, the default shutdown control parameters can be used. For example, the pitch rate parameters in the current master program can be used directly. Further, at step S203, the rotational speed values in a predetermined time period after the shutdown strategy is triggered can be predicted.

[0053] After obtaining the predicted rotational speed values, it can be determined at step S204 whether the safety chain shutdown is triggered. In an example, the predicted rotational speed values can be compared with a rotational speed threshold to determine whether the safety chain shutdown is triggered. If it is determined at step S204 that the safety chain shutdown is triggered, the pitch rate after the safety chain shutdown time is set as the safety chain shutdown pitch rate at step S205. Otherwise, the method 200 proceeds to step S206. At step S206, a number of sets of pre-set pitch rate parameters corresponding to the grid collapse fault shutdown can be obtained according to the determined shutdown type, which is the grid collapse fault shutdown in this example. For example, the pre-set shutdown control parameters corresponding to the determined shutdown type can be obtained by way of a lookup table or a database. Subsequently, at step S207, the tower loads after the shutdown strategy is triggered can be predicted for each of the number of sets of pre-set pitch rate parameters. For example, for each of the number of sets of pre-set pitch rate parameters corresponding to the grid collapse fault shutdown, the tower load curve in a predetermined time period after the shutdown strategy is triggered can be predicted.

[0054] After the prediction of the tower loads is completed, at step S208, a set of pitch rates corresponding to the optimal tower load can be determined, and the wind turbine generator system is controlled using this set of pitch rates for the grid collapse fault shutdown. In an example of the tower load curve in a predetermined time period after the shutdown strategy is triggered, the tower load curve with the smallest peak value in the predicted tower load curves can be determined as the optimal tower load curve, and the set of pitch rates corresponding to the optimal tower load curve is determined as the pitch rate parameters for controlling the grid collapse fault shutdown.

[0055] It should be understood that, although Figure 2 the example of the method 200 is illustrated with the grid collapse fault shutdown as an example, the method 200 can be applied to other types of shutdowns, such as a grid fault shutdown, a grid voltage dip shutdown, a grid frequency dip shutdown, a wind turbine generator system shutdown, a wind farm shutdown, and the like. Figure 2The method shown can also be applied to other types of shutdown situations. For example, in the example of a blade runaway fault shutdown or a stuck blade fault shutdown, the shutdown control parameter used or obtained is a generator torque parameter (for example, a default generator torque parameter can be used at step S202, and a plurality of sets of pre-set generator torque parameters corresponding to the blade runaway fault shutdown or the stuck blade fault shutdown can be obtained at step S206).

[0056] Figure 3 is a schematic diagram showing a constant pitch rate mode and a non-constant pitch rate mode.

[0057] The pre-setting of the shutdown control parameter will be described taking the power grid outage fault shutdown as an example. Generally, the maximum tower load occurs after the power grid outage fault shutdown, and a common method for reducing the load for this fault is to adjust the pitch rate value during shutdown. For example, the pitch rate can be set in a look-up table manner, i.e., the pitch rate is set according to the value of the pitch angle. The maximum value of the pitch rate is limited by the execution capability of the pitch motor, but the pitch rate corresponding to different pitch angles can be adjusted, and thus the constant pitch rate shutdown and the non-constant pitch rate shutdown can be defined according to whether the pitch rate follows the change of the pitch angle. Figure 3 As shown, when the constant pitch rate shutdown mode is adopted, the pitch rates θ’1 to θ’4 corresponding to the pitch angles θ1 to θ4 are the same, and when the non-constant pitch rate shutdown mode is adopted, the pitch rates θ’1 and θ’4 corresponding to the pitch angles θ1 and θ4 are the same (for example, θ’1 and θ’4 are set to 2 deg / s), and the pitch rates θ’2 and θ’3 corresponding to the pitch angles θ2 and θ3 are the same and different from the pitch rates θ’1 and θ’4 (for example, θ’2 and θ’3 are set to 1 deg / s). In the example, θ1 and θ2 can be set to the pitch angle at shutdown minus 3 deg, and θ3 and θ4 can be set to a larger pitch angle value (for example, 40 deg). However, the setting of the pitch angle is not limited thereto, and more suitable parameter combinations can be defined in the pitch rate parameter library according to the fault situation and the unit characteristics to cover more situations.

[0058] A plurality of sets of pitch rate parameters can be pre-set in the pitch rate parameter library for the power grid outage fault shutdown. For example, the plurality of sets of pitch rate parameters pre-set for the power grid outage fault shutdown can include at least one set of pitch rate parameters for the constant pitch rate shutdown mode and at least one set of pitch rate parameters for the non-constant pitch rate shutdown mode. Generally, due to the limitation of the pitch motor capability, the maximum value of the pitch rate that can be set is not too large, and thus the number of parameter combinations in the pitch rate parameter library corresponding to a certain fault shutdown scenario is not too large, which makes the speed of determining the optimal tower load for the parameters in the pitch rate parameter library relatively fast, and the most suitable pitch rate parameter can be quickly given after the shutdown is triggered to ensure the safety of the unit.

[0059] Similarly, the corresponding shutdown control parameter library can be pre-set for normal shutdown, blade runaway fault shutdown and stuck blade fault shutdown, respectively. For example, a generator torque parameter library can be pre-set for blade runaway fault shutdown, in which a plurality of sets of generator torque parameters pre-set for blade runaway fault shutdown can be saved.

[0060] Figure 4 is a schematic diagram illustrating the prediction of the rotational speed and the tower load by using the prediction algorithm according to the example embodiment of the present disclosure.

[0061] As shown in Figure 4 , the inputs of the prediction algorithm include the wind resource parameters and the wind turbine generator set operating parameters at the shutdown moment, the rotational speed values within a predetermined time period before the shutdown moment, the wind speed prediction values after the shutdown moment and the shutdown control parameters. The wind resource parameters include at least one of the air density, the wind shear, the inflow angle and the wind speed, and the operating parameters of the wind turbine generator set include at least one of the pitch angle, the pitch rate, the rotational speed and the generator torque. The shutdown control parameters can be the pitch rate parameters and / or the generator torque parameters pre-set for various types of shutdown. The wind speed prediction values after the shutdown moment can be the wind speed values within a predetermined time period after the shutdown strategy of the wind turbine generator set is triggered.

[0062] The prediction algorithm can be constructed by using database query, machine learning, deep learning and the like. In an example, the rotational speed after the shutdown strategy is triggered (e.g., the rotational speed within a predetermined time period after the shutdown strategy is triggered) can be predicted based on the wind resource parameters and the operating parameters of the wind turbine generator set at the shutdown moment, the rotational speed values within a predetermined time period before the shutdown moment, the wind speed prediction values after the shutdown moment and the shutdown control parameters, and the load after the shutdown strategy is triggered (e.g., the load curve within a predetermined time period after the shutdown strategy is triggered) can be predicted based on the wind resource parameters and the operating parameters of the wind turbine generator set at the shutdown moment, the wind speed prediction values after the shutdown moment and the shutdown control parameters.

[0063] The present example can predict the rotational speed values and the tower load values and the load change trend in the future time period according to the wind resource conditions (e.g., wind speed) and the operating state of the wind turbine generator set at the time when the fault occurs, and set different shutdown pitch strategies according to the prediction results, so as to minimize the tower load during the fault shutdown under the conditions of the site environment and the operating state of the wind turbine generator set.

[0064] Figure 5 is a block diagram illustrating a wind turbine generator set shutdown control device 500 according to the example embodiment of the present disclosure.

[0065] As shown in Figure 5As shown, the wind turbine generator set shutdown control device 500 according to the exemplary embodiments of the present disclosure can include a data acquisition unit 501 configured to acquire operating parameters of the wind turbine generator set and wind resource parameters and predict a wind speed in response to a shutdown strategy of the wind turbine generator set being triggered; a prediction unit 502 configured to predict a tower load after the shutdown strategy is triggered by using the acquired operating parameters of the wind turbine generator set and wind resource parameters and the predicted wind speed for each of a plurality of groups of pre-set shutdown control parameters; and a shutdown control unit 503 configured to determine a group of shutdown control parameters corresponding to an optimal tower load from the plurality of groups of pre-set shutdown control parameters and control the wind turbine generator set to shutdown using the determined shutdown control parameters. In one example, the optimal tower load is less than a tower load corresponding to a cut-out wind speed and a rated wind speed, such that when the wind turbine generator set is controlled to shutdown using a fault shutdown strategy under the field wind condition and operating state of the wind turbine generator set, the tower load is less than the tower load corresponding to the cut-out wind speed and the rated wind speed, thereby minimizing the overall tower load.

[0066] It should be noted that the overall tower load can be explained as the load accumulation of the tower of the wind turbine generator set during different wind conditions, such as the accumulation of the tower load under the conditions of the cut-out wind speed and the rated wind speed and above.

[0067] The wind resource parameters acquired by the data acquisition unit 501 can include at least one of air density, wind shear, inflow angle and wind speed, and the operating parameters of the wind turbine generator set acquired by the data acquisition unit 501 can include at least one of a pitch angle, a pitch rate, a rotational speed and a generator torque. Further, the prediction of the wind speed can include predicting a wind speed value within a predetermined time period after the shutdown strategy of the wind turbine generator set is triggered, and the prediction of the tower load after the shutdown strategy is triggered can include predicting a tower load curve within the predetermined time period after the shutdown strategy is triggered. In an example, the shutdown control unit 503 can determine a tower load curve with a minimum peak value in the predicted tower load curve as an optimal tower load curve, and determine a group of shutdown control parameters corresponding to the optimal tower load curve.

[0068] In an example, the shutdown control parameters can include a pitch rate and / or a generator torque. The shutdown control unit 503 can determine a shutdown type of the wind turbine generator set in response to the shutdown strategy of the wind turbine generator set being triggered, and select a plurality of groups of pre-set shutdown control parameters corresponding to the determined shutdown type as the plurality of groups of pre-set shutdown control parameters. The shutdown type can include normal shutdown, grid outage fault shutdown, blade runaway fault shutdown and pitch jam fault shutdown.

[0069] In an example, the prediction unit 502 can predict the rotational speed of the wind turbine generator set by utilizing the acquired operating parameters and wind resource parameters of the wind turbine generator set, the predicted wind speed, and the pre-set default shutdown control parameters, and the shutdown control unit 503 can determine whether to perform the safety chain shutdown according to the predicted rotational speed of the wind turbine generator set.

[0070] In addition, the prediction unit 502 can predict the wind speed value in a predetermined time period after the shutdown strategy of the wind turbine generator set is triggered, and the prediction unit 502 can predict the rotational speed in the predetermined time period after the shutdown strategy of the wind turbine generator set is triggered. The shutdown control unit 503 can determine to perform the safety chain shutdown in response to the predicted rotational speed of the wind turbine generator set being greater than a predetermined threshold.

[0071] The above-mentioned specific operations can be respectively performed by the corresponding units in the wind turbine generator set shutdown control device 500 shown in Figures 1 to 4 The specific operation details will not be repeated here. Figure 5 The specific operation details will not be repeated here.

[0072] Figure 6 is a schematic diagram of a wind turbine generator set shutdown control system according to an example embodiment of the present disclosure.

[0073] With reference to Figure 6 , the wind turbine generator set shutdown control system according to the present disclosure can include a pitch motor 601, a generator 602, a converter 603, and a wind turbine generator set shutdown control device 500. In an example where the shutdown control parameter is a pitch rate, the wind turbine generator set shutdown control device 500 can send a determined pitch rate parameter command corresponding to the optimal tower load to the pitch motor 601 to perform the shutdown operation. In an example where the shutdown control parameter is a generator torque, the wind turbine generator set shutdown control device 500 can send a determined generator torque parameter command corresponding to the optimal tower load to the converter 603 to perform torque control on the generator 602, thereby performing the shutdown operation.

[0074] According to an embodiment of the present disclosure, a computing system is provided, which includes at least one computing device and at least one storage device storing instructions, wherein the instructions, when executed by the at least one computing device, cause the at least one computing device to perform the wind turbine generator set shutdown control method according to any one of the preceding embodiments.

[0075] In addition, according to an embodiment of the present disclosure, a computer-readable storage medium storing instructions is provided, wherein the instructions, when executed by at least one computing device, cause the at least one computing device to perform the wind turbine generator set shutdown control method according to any one of the preceding embodiments.

[0076] By adopting the present disclosure, the tower load can be reduced to improve the safety of the wind turbine generator unit, and the simulation value of the tower load can be avoided to be too large due to the control parameters covering all shutdown working conditions in the tower design stage, so the weight of the tower design can be reduced, thereby reducing the manufacturing cost of the wind turbine generator unit.

[0077] Although the present disclosure includes specific examples, it will be apparent to one of ordinary skill in the art that various changes in form and detail can be made without departing from the spirit and scope of the claims and their equivalents. The examples described herein will be considered in a descriptive sense only and not for purposes of limitation. Descriptions of features or aspects in each example will be considered to apply to any and all similar features or aspects in other examples. If the described technology is performed in a different order, and / or if the components of the described system, architecture, device, or circuit are combined or divided in a different manner, suitable results can be obtained. Therefore, the scope of the present disclosure is not defined by the specific embodiments but by the claims and their equivalents, and all variations within the scope of the claims and their equivalents are to be construed as being included in the present disclosure.

Claims

1. A method for controlling the shutdown of a wind turbine generator set, characterized in that: The wind turbine generator set shutdown control method includes: In response to a shutdown strategy of the wind turbine generator set being triggered, obtaining operating parameters and wind resource parameters of the wind turbine generator set, and predicting the wind speed; Determining a shutdown type of the wind turbine generator set, selecting multiple sets of preset shutdown control parameters corresponding to the determined shutdown type, and for each of the multiple sets of preset shutdown control parameters, using the acquired operating parameters and wind resource parameters of the wind turbine generator set and the predicted wind speed to predict a tower load after the shutdown strategy is triggered, wherein the shutdown types include normal shutdown, grid power failure shutdown, blade runaway failure shutdown, and pitch stuck failure shutdown, and the shutdown control parameters include pitch rate and / or generator torque; determining a set of shutdown control parameters corresponding to the optimal tower load from the plurality of sets of preset shutdown control parameters, and controlling the shutdown of the wind turbine generator set using the determined shutdown control parameters, Among them, selecting multiple groups of preset shutdown control parameters corresponding to the determined shutdown type includes: in response to determining that the shutdown type of the wind turbine generator set is a grid power failure shutdown, selecting multiple groups of preset pitch rates corresponding to the grid power failure shutdown as the multiple groups of preset shutdown control parameters; in response to determining that the shutdown type of the wind turbine generator set is a blade runaway fault shutdown or a stuck pitcher fault shutdown, selecting multiple groups of preset generator torques corresponding to the blade runaway fault shutdown or the stuck pitcher fault shutdown as the multiple groups of preset shutdown control parameters.

2. The wind turbine generator shutdown control method according to claim 1, wherein: The optimal tower load is smaller than the cut-out wind speed and the tower load corresponding to the rated wind speed.

3. The wind turbine generator shutdown control method according to claim 1, wherein: The wind resource parameters include at least one of air density, wind shear, inflow angle and wind speed, and the operation parameters of the wind turbine generator set include at least one of pitch angle, pitch rate, rotation speed and generator torque.

4. The wind turbine generator shutdown control method according to claim 1, wherein: The step of predicting the wind speed includes predicting the wind speed value within a predetermined time period after the shutdown strategy of the wind turbine generator set is triggered, and the step of predicting the tower load after the shutdown strategy is triggered includes predicting the tower load curve within the predetermined time period after the shutdown strategy is triggered.

5. The wind turbine generator shutdown control method according to claim 4, characterized in that: The step of determining a set of shutdown control parameters corresponding to the optimal tower load from the plurality of sets of preset shutdown control parameters comprises: A tower load curve having a minimum peak value among the predicted tower load curves is determined as an optimal tower load curve, and a set of shutdown control parameters corresponding to the optimal tower load curve is determined.

6. The wind turbine generator shutdown control method according to claim 1, wherein: The wind turbine shutdown control method further includes: using the acquired operating parameters and wind resource parameters of the wind turbine, the predicted wind speed and the preset default shutdown control parameters to predict the rotational speed of the wind turbine, and determining whether to execute a safety chain shutdown based on the predicted rotational speed of the wind turbine.

7. The wind turbine generator shutdown control method according to claim 6, characterized in that: The step of predicting the wind speed includes predicting the wind speed value within a predetermined time period after the shutdown strategy of the wind turbine generator set is triggered, and the step of predicting the rotational speed of the wind turbine generator set includes predicting the rotational speed within the predetermined time period after the shutdown strategy of the wind turbine generator set is triggered.

8. A wind turbine shutdown control device, characterized in that: The wind turbine generator set shutdown control device includes: a data acquisition unit, configured to acquire operating parameters and wind resource parameters of the wind turbine generator set and predict wind speed in response to a shutdown strategy of the wind turbine generator set being triggered; a prediction unit, configured to determine a shutdown type of the wind turbine generator set, select a plurality of sets of preset shutdown control parameters corresponding to the determined shutdown type, and, for each of the plurality of preset shutdown control parameters, use the acquired operating parameters and wind resource parameters of the wind turbine generator set and the predicted wind speed to predict a tower load after the shutdown strategy is triggered, wherein the shutdown types include normal shutdown, grid power failure shutdown, blade runaway shutdown, and pitch stuck shutdown, and the shutdown control parameters include pitch rate and / or generator torque; and a shutdown control unit, configured to determine a set of shutdown control parameters corresponding to the optimal tower load from the plurality of sets of preset shutdown control parameters, and control the shutdown of the wind turbine generator set using the determined shutdown control parameters, Among them, selecting multiple groups of preset shutdown control parameters corresponding to the determined shutdown type includes: in response to determining that the shutdown type of the wind turbine generator set is a grid power failure shutdown, selecting multiple groups of preset pitch rates corresponding to the grid power failure shutdown as the multiple groups of preset shutdown control parameters; in response to determining that the shutdown type of the wind turbine generator set is a blade runaway fault shutdown or a stuck pitcher fault shutdown, selecting multiple groups of preset generator torques corresponding to the blade runaway fault shutdown or the stuck pitcher fault shutdown as the multiple groups of preset shutdown control parameters.

9. The wind turbine generator shutdown control device according to claim 8, characterized in that: The optimal tower load is smaller than the cut-out wind speed and the tower load corresponding to the rated wind speed.

10. The wind turbine generator shutdown control device according to claim 8, characterized in that: The wind resource parameters include at least one of air density, wind shear, inflow angle and wind speed, and the operation parameters of the wind turbine generator set include at least one of pitch angle, pitch rate, rotation speed and generator torque.

11. The wind turbine generator shutdown control device according to claim 8, characterized in that: The prediction unit predicts a wind speed value within a predetermined time period after a shutdown strategy of the wind turbine generator set is triggered, and the prediction unit predicts a tower load curve within the predetermined time period after the shutdown strategy is triggered.

12. The wind turbine generator shutdown control device according to claim 11, characterized in that: The shutdown control unit determines a tower load curve having a minimum peak value among the predicted tower load curves as an optimal tower load curve, and determines a set of shutdown control parameters corresponding to the optimal tower load curve.

13. The wind turbine generator shutdown control device according to claim 8, characterized in that: The prediction unit uses the acquired operating parameters and wind resource parameters of the wind turbine generator set, the predicted wind speed and the preset default shutdown control parameters to predict the speed of the wind turbine generator set, and the shutdown control unit determines whether to execute the safety chain shutdown according to the predicted speed of the wind turbine generator set.

14. The wind turbine generator shutdown control device according to claim 13, wherein: The prediction unit predicts a wind speed value within a predetermined time period after a shutdown strategy of the wind turbine generator set is triggered, and the prediction unit predicts a rotation speed within the predetermined time period after a shutdown strategy of the wind turbine generator set is triggered.

15. A wind turbine generator shutdown control system, characterized in that: The wind turbine generator set shutdown control system includes a converter, a generator, a pitch motor, and the wind turbine generator set shutdown control device according to any one of claims 8 to 14.

16. A computing system comprising at least one computing device and at least one storage device storing instructions, characterized in that: When the instructions are executed by the at least one computing device, the instructions prompt the at least one computing device to execute the wind turbine shutdown control method according to any one of claims 1 to 7.

17. A computer-readable storage medium storing instructions, characterized in that: When the instruction is executed by at least one computing device, the at least one computing device is prompted to execute the wind turbine shutdown control method according to any one of claims 1 to 7.

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