Method and device for determining optimal pitch angle of wind generating set

Abstract

The invention relates to a method and device for determining the optimal pitch angle of a wind generating set. The method for determining the optimal pitch angle of the wind generating set comprises the steps that a preset wind speed interval is divided into a plurality of wind speed bins; determining an average wind speed, an average power and an average pitch angle of each of a plurality of periods included in the predetermined time period; based on the average wind speed of each period, the average power and the average pitch angle of each period correspond to a wind speed bin where the average wind speed falls; and based on the average power and the average pitch angle of each period, the optimal pitch angle of the corresponding wind speed bin is determined. By adopting the method and the device, the actual pollution state of the blade and the plane wind resource distribution of the impeller do not need to be measured, and the operation strategy for maximizing the generating capacity is obtained through unit operation data statistics, so that the generating capacity of the unit is maximized in the whole unit life cycle.

Description

Technical Field

[0001] The present disclosure relates to the technical field of wind power generation, and more specifically, to a method and device for determining an optimal pitch angle of a wind generator set. Background Art

[0002] With the widespread use of long and flexible blades in wind turbines, the bending and torsional deformation of blades have become increasingly important. The wind resource distribution on the impeller plane and the actual pollution state of the blades are constantly changing, which affects the power generation performance of wind turbines. It is time-consuming and laborious to manually adjust the unit operation strategy based on these variables, and the uncertainty and difficulty of the measurement itself also exacerbate the uncertainty of the operation strategy formulation.

[0003] Existing solutions can adjust the pitch angle based on power, but for large-impeller units, after entering the stall state, the power may stabilize in the low power range, which means that the power-pitch angle control cannot achieve the purpose of maximizing the power generation of the unit. Summary of the invention

[0004] In order to solve the above problems, the present disclosure proposes a method and device for determining an optimal pitch angle of a wind turbine generator set, a computing system, and a computer-readable storage medium.

[0005] According to one aspect of the present disclosure, a method for determining an optimal pitch angle of a wind turbine generator set is provided, the method comprising: dividing a predetermined wind speed interval into a plurality of wind speed bins; determining an average wind speed, an average power, and an average pitch angle for each of a plurality of cycles included in a predetermined time period; based on the average wind speed of each cycle, making the average power and the average pitch angle of each cycle correspond to the wind speed bin into which the average wind speed falls; and determining an optimal pitch angle for the corresponding wind speed bin based on the average power and the average pitch angle of each cycle.

[0006] Optionally, the predetermined wind speed interval includes a transition section start wind speed and / or a rated wind speed of the wind turbine generator set.

[0007] Optionally, the method for determining the optimal pitch angle also includes: before determining the optimal pitch angle of the corresponding wind speed bin based on the average power and the average pitch angle of each cycle, determining the data of the cycle corresponding to the average pitch angle of each cycle whose difference with the current optimal pitch angle of the corresponding wind speed bin is less than or equal to a predetermined threshold as data for determining the optimal pitch angle of the corresponding wind speed bin.

[0008] Optionally, the optimal pitch angle determination method further includes: in response to the determined optimal pitch angle being greater than the optimal pitch angle of a wind speed bin adjacent to the corresponding wind speed bin and having a higher wind speed, maintaining the current optimal pitch angle of the corresponding wind speed bin.

[0009] Optionally, the method for determining the optimal pitch angle also includes: determining the number of times each pitch angle occurs in the corresponding wind speed bin; and determining data associated with the pitch angle whose number of occurrences is greater than a predetermined number as data for determining the optimal pitch angle of the corresponding wind speed bin.

[0010] Optionally, the method for determining the optimal pitch angle also includes: in response to the number of pitch angles that occur more than a predetermined number of times being less than a predetermined threshold, maintaining the current optimal pitch angle of the corresponding wind speed bin; in response to the number of pitch angles that occur more than a predetermined number of times being greater than a predetermined threshold, executing the step of determining the optimal pitch angle of the corresponding wind speed bin.

[0011] Optionally, the step of determining the optimal pitch angle of the corresponding wind speed bin based on the average power and the average pitch angle of each cycle includes: determining the average pitch angle of the cycle with the maximum average power as the optimal pitch angle of the corresponding wind speed bin.

[0012] Optionally, the optimal pitch angle determination method further includes: determining an average air density in each cycle; and based on an average wind speed in each cycle, making the average air density in each cycle correspond to a wind speed bin into which the average wind speed falls.

[0013] Optionally, based on the average power and the average pitch angle of each cycle, the step of determining the optimal pitch angle of the corresponding wind speed bin includes: determining the ratio of the average power to the average air density of each cycle corresponding to the corresponding wind speed bin; and determining the average pitch angle of the cycle with the largest ratio of the average power to the average air density as the optimal pitch angle of the corresponding wind speed bin.

[0014] Optionally, the optimal pitch angle determination method further includes: in response to a ratio of actual power to theoretical power at a predetermined wind speed being less than a predetermined threshold, determining a wind speed interval including the predetermined wind speed as the predetermined wind speed interval.

[0015] According to another aspect of the present disclosure, there is provided an optimal pitch angle determination device for a wind turbine generator set, the optimal pitch angle determination device comprising: a wind speed bin division unit, configured to divide a predetermined wind speed interval into a plurality of wind speed bins; an average value determination unit, configured to determine the average wind speed, average power and average pitch angle of each cycle in a plurality of cycles included in a predetermined time period; a data correspondence unit, configured to correspond the average power and average pitch angle of each cycle to the wind speed bin into which the average wind speed falls, based on the average wind speed of each cycle; and an optimal pitch angle determination unit, configured to determine the optimal pitch angle of the corresponding wind speed bin based on the average power and average pitch angle of each cycle.

[0016] Optionally, the predetermined wind speed interval includes a transition section start wind speed and / or a rated wind speed of the wind turbine generator set.

[0017] Optionally, the optimal pitch angle determination unit is further configured to: before determining the optimal pitch angle of the corresponding wind speed bin based on the average power and the average pitch angle of each cycle, determine the data of the cycle corresponding to the average pitch angle of each cycle whose difference with the current optimal pitch angle of the corresponding wind speed bin is less than or equal to a predetermined threshold as the data for determining the optimal pitch angle of the corresponding wind speed bin.

[0018] Optionally, the optimal pitch angle determination unit is further configured to: in response to the determined optimal pitch angle being greater than the optimal pitch angle of a wind speed bin adjacent to the corresponding wind speed bin and having a higher wind speed, maintain the current optimal pitch angle of the corresponding wind speed bin.

[0019] Optionally, the optimal pitch angle determination unit is further configured to: determine the number of occurrences of each pitch angle in the corresponding wind speed bin; and determine data associated with the pitch angle whose number of occurrences is greater than a predetermined number as data for determining the optimal pitch angle of the corresponding wind speed bin.

[0020] Optionally, the optimal pitch angle determination unit is further configured to: in response to the number of pitch angles that occur more than a predetermined number of times being less than a predetermined threshold, maintain the current optimal pitch angle of the corresponding wind speed bin; in response to the number of pitch angles that occur more than a predetermined number of times being greater than a predetermined threshold, execute the step of determining the optimal pitch angle of the corresponding wind speed bin.

[0021] Optionally, the optimal pitch angle determination unit is further configured to: determine the average pitch angle of the period with the maximum average power as the optimal pitch angle of the corresponding wind speed bin.

[0022] Optionally, the average value determination unit is further configured to determine the average air density of each period, and the data correspondence unit is further configured to correspond the average air density of each period to the wind speed bin into which the average wind speed falls based on the average wind speed of each period.

[0023] Optionally, the optimal pitch angle determination unit is further configured to: determine the ratio of average power to average air density in each cycle corresponding to the corresponding wind speed bin; and determine the average pitch angle of the cycle with the largest ratio of average power to average air density as the optimal pitch angle of the corresponding wind speed bin.

[0024] Optionally, the wind speed bin division unit is further configured to: in response to a ratio of actual power to theoretical power at a predetermined wind speed being less than a predetermined threshold, determine a wind speed interval including the predetermined wind speed as the predetermined wind speed interval.

[0025] According to another aspect of the present disclosure, a computing system is provided, 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, prompt the at least one computing device to execute the optimal pitch angle determination method for the wind turbine generator set as described above.

[0026] According to yet another aspect of the present disclosure, a computer-readable storage medium storing instructions is provided, wherein when the instructions are executed by at least one computing device, the at least one computing device is prompted to execute the optimal pitch angle determination method for a wind turbine generator set as described above.

[0027] By adopting the present disclosure, it is possible to establish a time-varying optimal wind speed-pitch angle relationship based on the operating characteristics of the wind turbine generator set itself, without measuring the actual contamination state of the blades and the wind resource distribution on the impeller plane. The operating strategy for maximizing power generation can be obtained through statistics of the unit's operating data, thereby maximizing the unit's power generation over the entire unit's life cycle. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] The above and / or other objects and advantages of the present disclosure will become more apparent through the following description of embodiments in conjunction with the accompanying drawings, in which:

[0029] Figure 1 is a flow chart showing a method for determining an optimal pitch angle of a wind turbine generator system according to an exemplary embodiment of the present disclosure;

[0030] FIG. 2A to FIG. 2H is a graph showing the evolution process of wind speed-pitch angle optimization according to an exemplary embodiment of the present disclosure;

[0031] Figure 3 is a flow chart showing a wind speed-pitch angle optimization strategy according to an embodiment of the present disclosure;

[0032] Figure 4 is a block diagram showing an optimal pitch angle determination device for a wind turbine generator system according to an exemplary embodiment of the present disclosure;

[0033] Figure 5 is a block diagram illustrating a computing system including at least one computing device and at least one storage device storing instructions according to an exemplary embodiment of the present disclosure. DETAILED DESCRIPTION

[0034] Below, in conjunction with the accompanying drawings, a description of a specific embodiment is provided to help the reader obtain a comprehensive understanding of the method, device and / or system described herein. However, after understanding the disclosure of the present application, various changes, modifications and equivalents of the method, device and / or system described herein will be clear. For example, the order of operations described herein is only an example and is not limited to those orders set forth herein, but can be changed as will be clear after understanding the disclosure of the present application, except for operations that must occur in a specific order. In addition, for greater clarity and simplicity, the description of features known in the art may be omitted.

[0035] Through theoretical derivation or actual testing, the wind speed-pitch angle relationship for variable pitch control of a wind turbine can be obtained. However, the optimal wind speed-pitch angle relationship will change during the entire life cycle of the wind turbine. In view of this, the present disclosure proposes a strategy for automatically optimizing the wind speed-pitch angle relationship. The proposed automatic optimization strategy can establish a time-varying optimal wind speed-pitch angle relationship based on the initial wind speed-pitch angle relationship and the operating characteristics of the wind turbine itself.

[0036] Figure 1 is a flow chart illustrating a method for determining an optimal pitch angle of a wind turbine according to an exemplary embodiment of the present disclosure.

[0037] like Figure 1 As shown, in step S101, the predetermined wind speed interval is divided into a plurality of wind speed bins. In the example, the predetermined wind speed interval includes the transition section start wind speed and / or the rated wind speed of the wind turbine generator set, wherein the transition section start wind speed of the wind turbine generator set refers to the wind speed at the start of the transition section of the power curve of the wind turbine generator set. In the example, the transition section start wind speed can be used as the start wind speed of the predetermined wind speed interval, and the rated wind speed can be used as the cutoff wind speed of the predetermined wind speed interval. The shortest integer wind speed interval containing the wind speeds at both ends is taken, and the bin data is collected with a step size of 1m / s. For example, assuming that the transition section start wind speed is 8.2m / s and the rated wind speed is 11.5m / s, the predetermined wind speed interval can be set to 8m / s to 12m / s, which covers the transition section start wind speed and the rated wind speed. In this regard, those skilled in the art should understand that the step size of dividing the predetermined wind speed interval into multiple wind speed bins does not necessarily have to be 1 m / s, but can be set to other values ​​(for example, 0.5 m / s or 2 m / s, etc.), and the predetermined wind speed interval does not necessarily have to include both the transition section starting wind speed and the rated wind speed. For example, it can also be a wind speed interval that only includes one of the transition section starting wind speed and the rated wind speed.

[0038] In the example, in response to the ratio of actual power to theoretical power at a predetermined wind speed being less than a predetermined threshold, the wind speed interval containing the predetermined wind speed is determined as a predetermined wind speed interval. As a trigger condition for the optimization process of the wind speed-pitch angle relationship, for example, it can be judged by the average value of the ratio of actual power to theoretical power at each wind speed. If the ratio at any wind speed is lower than a predetermined threshold (for example, 80%), the optimization process of the wind speed-pitch angle relationship is started, otherwise the current wind speed-pitch angle relationship is maintained. In the example, the judgment of the trigger condition for the optimization process of the wind speed-pitch angle relationship can be performed according to a set period (for example, one month, one week or other time period). In addition, the trigger condition for starting the optimization process of the wind speed-pitch angle relationship may also include a decrease in the conformity of the best tracking segment or a rightward shift of the rated wind speed point. For example, by taking statistics on the wind speed-power relationship within a given period, since there may be omissions under high wind speeds, by taking statistics on the ratio of power corresponding to the wind speed interval where the speed does not reach the maximum speed to the theoretical power, if the ratio is significantly reduced, then even if there is no wind speed in the transition section or above in actual operation, the optimization process for the wind speed-pitch angle relationship can be automatically triggered. For another example, by taking statistics on the wind speed when the rated power is reached for the first time within a given period, if there is a significant deviation between the wind speed value and the theoretical value (for example, the difference between the wind speed when the rated power is reached for the first time and the theoretical value exceeds a predetermined threshold), the optimization process for the wind speed-pitch angle relationship can be triggered.

[0039] In step S102, the average wind speed, average power and average pitch angle of each of the multiple cycles included in the predetermined time period are determined. In the example, for example, sampling is performed at a frequency of 0.1 Hz, and 60s mean data points are recorded, and the recorded variables are the average wind speed, average power and average pitch angle of 60s. In another example, the average air density of each of the multiple cycles included in the predetermined time period can be further determined, wherein the air density can be derived from the ambient temperature T and the altitude h, and the air density = 353.05 / (273+T)*exp(-0.034*(h / (273+T))). It should be understood that the period for calculating the average wind speed, average power, average pitch angle and average air density does not have to be 60s, and other longer or shorter time periods can also be used. In addition, in the example, the sampled data can also be preprocessed (for example, data cleaning, conversion and integration), and then the average value of the preprocessed data is calculated.

[0040] In step S103, based on the average wind speed of each cycle, the average power and average pitch angle of each cycle are matched to the wind speed bin into which the average wind speed falls. That is, the data can be recorded in bins according to the wind speed value. In addition, in the example, before determining the optimal pitch angle of the corresponding wind speed bin based on the average power and average pitch angle of each cycle, the data of the cycle corresponding to the average pitch angle in each cycle whose difference with the current optimal pitch angle of the corresponding wind speed bin is less than or equal to a predetermined threshold is determined as the data for determining the optimal pitch angle of the corresponding wind speed bin. For example, the optimal pitch angle range is limited to the current pitch angle value to the current pitch angle value + pitch angle limit (for example, but not limited to, 2°-3°). It should be clear that the pitch angle limit may also be a negative number or a positive number, for example, less than 2. In another example, the average air density of each cycle may also be matched to the wind speed bin into which the average wind speed falls based on the average wind speed of each cycle.

[0041] In addition, in the example, the number of occurrences of each pitch angle in the corresponding wind speed bin is determined; the data (e.g., average power) associated with the pitch angle whose number of occurrences is greater than a predetermined number is determined as data for determining the optimal pitch angle of the corresponding wind speed bin. In the example, in response to the number of pitch angles whose number of occurrences is greater than a predetermined number being less than a predetermined threshold, the current optimal pitch angle of the corresponding wind speed bin is maintained; in response to the number of pitch angles whose number of occurrences is greater than a predetermined number being greater than a predetermined threshold, the step of determining the optimal pitch angle of the corresponding wind speed bin is performed. For example, for each wind speed bin, if the number of data points for a single pitch angle is greater than or equal to a predetermined number (e.g., but not limited to, 100), the pitch angle is retained; if the number of data points for a single pitch angle is less than a predetermined number (e.g., but not limited to, 100), the pitch angle is discarded. Furthermore, if the number of successfully collected pitch angles in a single wind speed bin is less than a predetermined threshold value (for example, but not limited to 3), the wind speed bin is discarded; if the number of successfully collected pitch angles in a single wind speed bin is greater than or equal to a predetermined threshold value (for example, but not limited to 3), the steps of determining the optimal pitch angle of the corresponding wind speed bin as described below are performed.

[0042] In step S104, based on the average power and average pitch angle of each cycle, the optimal pitch angle of the corresponding wind speed bin is determined. In the example, the average pitch angle of the cycle with the largest average power is determined as the optimal pitch angle of the corresponding wind speed bin. For example, the data in each wind speed bin is sorted from small to large based on the average power, thereby determining the average pitch angle and average wind speed corresponding to the data point with the highest average power, and then the average wind speed and average pitch angle determined by the above sorting for each wind speed bin are used as the final wind speed-pitch angle parameters. In another example, the ratio of the average power to the average air density of each cycle corresponding to the corresponding wind speed bin is determined, and the average pitch angle of the cycle with the largest ratio of average power to average air density is determined as the optimal pitch angle of the corresponding wind speed bin. For example, the data in each wind speed bin is sorted from small to large based on power / air density, thereby determining the average pitch angle and average wind speed corresponding to the data point with the highest power / air density ratio, and then using the average wind speed and average pitch angle determined by the above sorting for each wind speed bin as the final wind speed-pitch angle parameters, as the wind speed-pitch angle control strategy parameters of the unit. Since temperature changes will cause changes in air density, changes in air density will affect the power generation efficiency of the wind turbine generator set. By using the sorting of the ratio of the average pitch angle to the average air density to determine the optimal pitch angle of the corresponding wind speed bin, the optimization process of the optimal pitch angle can eliminate the influence of air density, and the optimization result is more accurate.

[0043] In addition, in the example, in response to the determined optimal pitch angle being greater than the optimal pitch angle of the wind speed bin adjacent to the corresponding wind speed bin and having a higher wind speed, the current optimal pitch angle of the corresponding wind speed bin is maintained. That is, in the optimization process, it is ensured that the pitch angle value of the currently collected data at a low wind speed is not greater than the pitch angle value of the currently collected data at a high wind speed.

[0044] By adopting the optimal pitch angle determination method of a wind turbine generator set according to an exemplary embodiment of the present disclosure, while maximizing the power generation through variable pitch control based on wind speed-pitch angle based on automatic optimization, it is possible to avoid the uncertainty and difficulty caused by measuring the wind resource distribution on the impeller plane and the changes in the actual pollution state of the blades, thereby reducing the uncertainty in the formulation of operation strategies.

[0045] FIG. 2A to FIG. 2H is a graph showing the evolution process of wind speed-pitch angle optimization according to an exemplary embodiment of the present disclosure.

[0046] As described above, through theoretical derivation or actual testing, the wind speed-pitch angle relationship for variable pitch control of a wind turbine generator set can be obtained, and based on the initial wind speed-pitch angle relationship, the time-varying optimal wind speed-pitch angle relationship can be established by utilizing the operating characteristics of the wind turbine generator set itself. In the example, FIG. 2A to FIG. 2HAs shown in Figure 1, a parallel search is performed for each wind speed point at a wind speed interval of 1 m / s. Figure 2A In the evolution shown, the optimal pitch angle value is updated for a wind speed of 13 m / s. Figure 2B In the evolution shown, the optimal pitch angle value is updated for a wind speed of 12 m / s. Figures 2C to 2H The update of the optimal pitch angle for different wind speeds is shown in FIG. 1 and FIG. 2 respectively. In addition, in order to avoid the wind speed-pitch angle curve from being V-shaped, the pitch angle value of the low wind speed bin is limited to be no greater than the pitch angle value corresponding to the adjacent higher wind speed, such as Figure 2H As shown, the evolution of the dotted line i+1 will be restricted from increasing until the wind speed of 14 m / s increases because the wind speed of 13 m / s will first reach a pitch angle value greater than that of 14 m / s.

[0047] Figure 3 Detailed description is a flow chart showing a wind speed-pitch angle optimization strategy according to an embodiment of the present disclosure.

[0048] like Figure 3 As shown, in step S301, it is determined whether the triggering condition of the optimization process of the wind speed-pitch angle relationship is met. As an example of the triggering condition of the optimization process of the wind speed-pitch angle relationship, for example, it can be judged by the average value of the ratio of the actual power to the theoretical power at each wind speed. If the ratio at any wind speed is lower than a predetermined threshold (for example, 80%), the optimization process of the wind speed-pitch angle relationship is started, otherwise the current wind speed-pitch angle relationship is maintained. In the example, the triggering condition of the optimization process of the wind speed-pitch angle relationship can be judged according to a set period (for example, one month, one week or other time period).

[0049] If it is determined in step S301 that the triggering condition of the optimization process of the wind speed-pitch angle relationship is met, then proceed to step S302. If it is determined in step S301 that the triggering condition of the optimization process of the wind speed-pitch angle relationship is not met, then proceed to step S303. In step S303, it is determined not to optimize the wind speed-pitch angle relationship, and the time for the next optimization operation is updated. In step S302, the optimization operation of the wind speed bin is performed. Specifically, as described above for Figure 1 As described, the following operations may be performed: dividing a predetermined wind speed interval into a plurality of wind speed bins; determining the average wind speed, average power, and average pitch angle of each of a plurality of periods included in the predetermined time period; and determining the optimal pitch angle of the corresponding wind speed bin based on the average power and average pitch angle of each period. For a detailed description of the above operations, please refer to Figure 1 Related description.

[0050] Next, in step S304, determine whether the given time has been reached or the optimization of all wind speed bins has been completed. If it is determined in step S304 that the given time has been reached or the optimization of all wind speed bins has been completed, proceed to step S305, otherwise return to step S302 to continue the optimization operation of each wind speed bin. In step S305, determine whether the optimization operation of at least three wind speed bins has been completed. If it is determined in step S305 that the optimization operation of at least three wind speed bins has been completed, proceed to step S306. In step S306, the optimal wind speed-pitch angle curve is obtained by interpolation. That is, FIG. 2A to FIG. 2H As shown, based on the initial wind speed-pitch angle curve, the optimal wind speed-pitch angle curve is obtained according to the determined optimal pitch angle evolution for each wind speed. If it is determined in step S305 that the optimization operation of at least three wind speed bins is not completed, proceed to step S307 to output an optimization failure signal and maintain the original wind speed-pitch angle relationship.

[0051] It should be understood that although the steps of the process, etc., have been described as occurring according to a particular order, the process may be implemented with the steps described being performed in an order different from that described herein. It should further be understood that certain steps may be performed simultaneously, other steps may be added, or certain steps described herein may be omitted.

[0052] By adopting the wind speed-pitch angle optimization strategy according to the embodiment of the present disclosure, it is possible to establish a time-varying optimal wind speed-pitch angle relationship based on the operating characteristics of the wind turbine generator set itself, without measuring the actual contamination state of the blades and the wind resource distribution on the impeller plane. The operating strategy for maximizing the power generation can be obtained through statistics of the unit's operating data, thereby maximizing the unit's power generation over the entire unit's life cycle.

[0053] Figure 4 is a block diagram showing an optimal pitch angle determination device for a wind turbine generator system according to an exemplary embodiment of the present disclosure.

[0054] like Figure 4 As shown, according to an exemplary embodiment of the present disclosure, an optimal pitch angle determination device 400 of a wind turbine generator set includes: a wind speed bin division unit 401, configured to divide a predetermined wind speed interval into a plurality of wind speed bins; an average value determination unit 402, configured to determine the average wind speed, average power and average pitch angle of each cycle in a plurality of cycles included in a predetermined time period; a data correspondence unit 403, configured to correspond the average power and average pitch angle of each cycle to the wind speed bin into which the average wind speed falls, based on the average wind speed of each cycle; and an optimal pitch angle determination unit 404, configured to determine the optimal pitch angle of the corresponding wind speed bin based on the average power and average pitch angle of each cycle.

[0055] In the example, the predetermined wind speed interval includes the transition section start wind speed and / or the rated wind speed of the wind turbine generator set. In the example, the wind speed bin division unit 401 is further configured to: in response to the ratio of the actual power to the theoretical power at the predetermined wind speed being less than a predetermined threshold, determine the wind speed interval including the predetermined wind speed as the predetermined wind speed interval.

[0056] In the example, the optimal pitch angle determination unit 404 is also configured to: before determining the optimal pitch angle of the corresponding wind speed bin based on the average power and the average pitch angle of each cycle, determine the data of the cycle corresponding to the average pitch angle of each cycle whose difference with the current optimal pitch angle of the corresponding wind speed bin is less than or equal to a predetermined threshold as the data for determining the optimal pitch angle of the corresponding wind speed bin.

[0057] In the example, the optimal pitch angle determination unit 404 is further configured to: in response to the determined optimal pitch angle being greater than the optimal pitch angle of a wind speed bin adjacent to the corresponding wind speed bin and having a higher wind speed, maintain the current optimal pitch angle of the corresponding wind speed bin.

[0058] In the example, the optimal pitch angle determination unit 404 is also configured to: determine the number of times each pitch angle occurs in the corresponding wind speed bin; and determine the data associated with the pitch angle whose number of occurrences is greater than a predetermined number as data for determining the optimal pitch angle of the corresponding wind speed bin.

[0059] In the example, the optimal pitch angle determination unit 404 is also configured to: in response to the number of pitch angles that occur more than a predetermined number of times being less than a predetermined threshold, maintain the current optimal pitch angle of the corresponding wind speed bin; in response to the number of pitch angles that occur more than a predetermined number of times being greater than a predetermined threshold, execute the step of determining the optimal pitch angle of the corresponding wind speed bin.

[0060] In the example, the optimal pitch angle determination unit 404 is further configured to: determine the average pitch angle of the period with the maximum average power as the optimal pitch angle of the corresponding wind speed bin.

[0061] In the example, the average value determination unit 402 is further configured to determine the average air density of each period, and the data correspondence unit 403 is further configured to correspond the average air density of each period to the wind speed bin into which the average wind speed falls based on the average wind speed of each period.

[0062] In the example, the optimal pitch angle determination unit 404 is further configured to: determine the ratio of average power to average air density in each cycle corresponding to the corresponding wind speed bin; and determine the average pitch angle of the cycle with the largest ratio of average power to average air density as the optimal pitch angle of the corresponding wind speed bin.

[0063] Combination of the above Figures 1 to 3The specific operations shown are respectively Figure 4 The operation is performed by corresponding units in the optimal pitch angle determination device 400 of the wind turbine generator set shown in the figure, and the specific operation details will not be repeated here.

[0064] By adopting the optimal pitch angle determination device for a wind turbine generator set according to the present disclosure, there is no need to measure the actual contamination state of the blades and the wind resource distribution on the impeller plane, and an operation strategy for maximizing power generation can be implemented based on the statistics of the unit operation data.

[0065] Figure 5 is a block diagram illustrating a computing system including at least one computing device and at least one storage device storing instructions according to an exemplary embodiment of the present disclosure.

[0066] like Figure 5 As shown, a computing system 500 provided according to an exemplary embodiment of the present invention includes a computing device 501 and a storage device 502, wherein the storage device 502 stores computer executable instructions. When the computer executable instructions are executed by the computing device 501, the method for determining the optimal pitch angle of a wind turbine generator set described in any of the aforementioned embodiments is executed.

[0067] The computing device 501 is deployed in a server or client, and may also be deployed on a node device in a distributed network environment. In addition, the computing device 501 may be a PC computer, a tablet device, a personal digital assistant, a smart phone, a web application or other device capable of executing the above-mentioned instruction set. Here, the computing device is not necessarily a single computing device, but may also be any device or circuit capable of executing the above-mentioned instruction (or instruction set) individually or jointly. The computing device may also be a part of an integrated control system or a system manager, or may be configured as a portable electronic device interconnected with an interface locally or remotely (e.g., via wireless transmission). In the computing device, the processor includes a central processing unit (CPU), a graphics processing unit (GPU), a programmable logic device, a dedicated processor system, a microcontroller or a microprocessor. As an example and not limitation, the processor also includes an analog processor, a digital processor, a microprocessor, a multi-core processor, a processor array, a network processor, etc.

[0068] According to another aspect of the present disclosure, a computer-readable storage medium storing instructions is provided, and when the instructions are executed by at least one computing device, the at least one computing device is prompted to execute the optimal pitch angle determination method of the wind turbine generator set described in any of the aforementioned embodiments. Computer-readable storage media include magnetic media such as floppy disks and tapes, optical media (including compact disk (CD) ROM and DVD ROM), magneto-optical media such as floppy disks, hardware devices such as ROM, RAM, and flash memory designed to store and execute program commands. The instructions may include language codes executable by a computer using an interpreter and machine language codes generated by a compiler.

[0069] By adopting the present disclosure, it is possible to establish a time-varying optimal wind speed-pitch angle relationship based on the operating characteristics of the wind turbine generator set itself, without measuring the actual contamination state of the blades and the wind resource distribution on the impeller plane. The operating strategy for maximizing power generation can be obtained through statistics of the unit's operating data, thereby maximizing the unit's power generation over the entire unit's life cycle.

[0070] The processes, methods or algorithms disclosed herein may be transmitted to or implemented by a processing device, a controller or a computer, which may include any existing programmable electronic control unit or a dedicated electronic control unit. Similarly, the processes, methods or algorithms may be stored in a variety of forms as data and instructions that can be executed by a controller or a computer, including but not limited to information being permanently stored on a non-writable storage medium (such as a ROM device) and information being variably stored on a writable storage medium (such as a floppy disk, a tape, a CD, a RAM device, and other magnetic and optical media). The processes, methods or algorithms may also be implemented in a software executable object. Optionally, the processes, methods or algorithms may be implemented in whole or in part using suitable hardware components (such as an ASIC, an FPGA, a state machine, a controller or other hardware components or devices) or a combination of hardware components, software components and firmware components.

[0071] Although the present disclosure includes specific examples, it will be apparent to those of ordinary skill in the art that various changes in form and detail may be made in these examples without departing from the spirit and scope of the claims and their equivalents. The examples described herein will be considered to be descriptive only and not for limiting purposes. The description of the features or aspects in each example will be considered to be applicable to similar features or aspects in other examples. Suitable results may be obtained if the described techniques are performed in a different order, and / or if the components in the described systems, architectures, devices, or circuits are combined in different ways and / or replaced or supplemented with other components or their equivalents in the described systems, architectures, devices, or circuits. Therefore, the scope of the present disclosure is not limited by specific embodiments, but by the claims and their equivalents, and all variations within the scope of the claims and their equivalents will be interpreted as included in the present disclosure.

Claims

1. A method for determining the optimal pitch angle of a wind turbine generator set, It is characterized in that The optimal pitch angle determination method comprises: Divide the predetermined wind speed range into a plurality of wind speed bins; determining an average wind speed, an average power, and an average pitch angle for each of a plurality of cycles included in the predetermined time period; Based on the average wind speed in each cycle, the average power and the average pitch angle in each cycle correspond to the wind speed bin into which the average wind speed falls; Based on the average power and average pitch angle of each cycle, the optimal pitch angle for the corresponding wind speed bin is determined.

2. The method for determining the optimal pitch angle of a wind turbine generator set according to claim 1, It is characterized in that The predetermined wind speed interval includes the transition start wind speed of the wind turbine generator set and / or the rated wind speed.

3. The method for determining the optimal pitch angle of a wind turbine generator set according to claim 1, It is characterized in that The optimal pitch angle determination method also includes: before determining the optimal pitch angle of the corresponding wind speed bin based on the average power and the average pitch angle of each cycle, data of the cycle corresponding to the average pitch angle of each cycle whose difference with the current optimal pitch angle of the corresponding wind speed bin is less than or equal to a predetermined threshold is determined as data for determining the optimal pitch angle of the corresponding wind speed bin.

4. The method for determining the optimal pitch angle of a wind turbine generator set according to claim 1, It is characterized in that The optimal pitch angle determination method further includes: in response to the determined optimal pitch angle being greater than the optimal pitch angle of a wind speed bin adjacent to the corresponding wind speed bin and having a higher wind speed, maintaining the current optimal pitch angle of the corresponding wind speed bin.

5. The method for determining the optimal pitch angle of a wind turbine generator set according to claim 1, It is characterized in that The optimal pitch angle determination method also includes: determining the number of times each pitch angle appears in the corresponding wind speed bin; and determining data associated with the pitch angle whose number of appearances is greater than a predetermined number as data for determining the optimal pitch angle of the corresponding wind speed bin.

6. The method for determining the optimal pitch angle of a wind turbine generator set according to claim 5, It is characterized in that The method for determining the optimal pitch angle also includes: in response to the number of pitch angles that occur more than a predetermined number of times being less than a predetermined threshold, maintaining the current optimal pitch angle of the corresponding wind speed bin; in response to the number of pitch angles that occur more than a predetermined number of times being greater than a predetermined threshold, executing the step of determining the optimal pitch angle of the corresponding wind speed bin.

7. The method for determining the optimal pitch angle of a wind turbine generator set according to claim 1, It is characterized in that Based on the average power and average pitch angle of each cycle, the step of determining the optimal pitch angle of the corresponding wind speed bin includes: The average pitch angle of the period with the maximum average power is determined as the optimal pitch angle of the corresponding wind speed bin.

8. The method for determining the optimal pitch angle of a wind turbine generator set according to claim 1, It is characterized in that The optimal pitch angle determination method further comprises: Determine the average air density for each cycle; Based on the average wind speed of each period, the average air density of each period is matched to the wind speed bin into which the average wind speed falls.

9. The method for determining the optimal pitch angle of a wind turbine generator set according to claim 8, It is characterized in that Based on the average power and average pitch angle of each cycle, the step of determining the optimal pitch angle of the corresponding wind speed bin includes: Determine the ratio of the average power to the average air density for each cycle corresponding to the corresponding wind speed bin; The average pitch angle of the period in which the ratio of average power to average air density is the largest is determined as the optimal pitch angle for the corresponding wind speed bin.

10. The method for determining the optimal pitch angle of a wind turbine generator set according to claim 1, It is characterized in that The optimal pitch angle determination method further comprises: In response to a ratio of actual power to theoretical power at a predetermined wind speed being less than a predetermined threshold, a wind speed interval including the predetermined wind speed is determined as the predetermined wind speed interval.

11. A device for determining an optimal pitch angle of a wind turbine generator set, It is characterized in that The optimal pitch angle determination device comprises: A wind speed bin division unit, configured to divide a predetermined wind speed interval into a plurality of wind speed bins; an average value determination unit configured to determine an average wind speed, an average power, and an average pitch angle for each of a plurality of cycles included in a predetermined time period; A data correspondence unit is configured to correspond the average power and the average pitch angle of each cycle to the wind speed bin into which the average wind speed falls, based on the average wind speed of each cycle; The optimal pitch angle determination unit is configured to determine the optimal pitch angle of the corresponding wind speed bin based on the average power and the average pitch angle of each cycle.

12. A computing system comprising at least one computing device and at least one storage device storing instructions, It is characterized in that When the instructions are executed by the at least one computing device, the at least one computing device is prompted to execute the optimal pitch angle determination method for a wind turbine generator system according to any one of claims 1-10.

13. A computer-readable storage medium storing instructions, It is characterized in that When the instructions are executed by at least one computing device, the at least one computing device is prompted to execute the optimal pitch angle determination method for a wind turbine generator system according to any one of claims 1-10.

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