CN109944749B - Extreme turbulence identification method, device, equipment and computer readable storage medium - Google Patents

Abstract

The embodiment of the invention discloses an extreme turbulence identification method, an extreme turbulence identification device, extreme turbulence identification equipment and a computer readable storage medium, wherein the identification method comprises the following steps: in the current detection period, acquiring a rotating speed value of the wind generating set according to a preset sampling period; recording the number of the rotating speed values obtained in the current detection period, which are greater than a set rotating speed value; and if the number recorded in the current detection period is larger than a set value, judging that the wind generating set is in an extreme turbulence working condition. By the embodiment of the invention, the identification efficiency and accuracy of the extreme turbulence working condition can be effectively improved.

Description

Method, Apparatus, Apparatus, and Computer-readable Storage Medium for Identifying Extreme Turbulence

technical field

The present invention relates to the technical field of wind turbines, in particular to a method, device, device and computer-readable storage medium for identifying extreme turbulence.

Background technique

In order to ensure the safety and long-term stable and reliable operation of wind turbines, the design of wind turbines needs to consider the influence of operating environmental conditions and power environment, which are mainly reflected in several aspects such as load, service life and normal operation. Various environmental conditions are divided into normal external conditions and extreme external conditions (such as turbulent conditions, etc.), of which the normal external conditions involve long-term fatigue loads and operating states. Extreme external conditions are rare, but are potentially critical external design conditions. The wind turbine load design needs to consider these external conditions and the wind turbine operating mode at the same time.

Turbulence intensity has a great influence on the performance and life of wind turbines. In the wind turbine design specification based on International Electrotechnical Commission (IEC) 61400-1 3rd Edition (3rd Edition), design load cases (DLC) 1.1 and 1.2 include during the service life of the wind turbine, Under normal operating conditions, the load requirements caused by atmospheric turbulence, DLC1.3 includes the maximum load requirements caused by extreme turbulence, thereby verifying that the wind turbine does not exceed the design range in this extreme state. However, under extreme turbulent wind conditions, the extreme loads on the key components of the wind turbine are not conducive to the operation of the wind turbine. Therefore, it is necessary to adjust the control strategy based on the extreme turbulence model, so that the wind turbine can reduce the load as much as possible in the case of extreme turbulence. .

At present, the wind speed is usually measured by an anemometer to estimate the turbulence intensity. However, due to the error in the measurement of the anemometer itself, and the measurement of the wind speed signal also has various interferences, the evaluation result of the turbulence intensity evaluation based on the wind speed measured by the anemometer Less accurate.

SUMMARY OF THE INVENTION

Embodiments of the present invention provide an extreme turbulent flow identification method, device, device, and computer-readable storage medium, which can effectively improve the identification efficiency and accuracy of extreme turbulent flow conditions.

According to an aspect of the embodiments of the present invention, a method for identifying extreme turbulence is provided, and the identifying method includes:

During the current detection period, obtain the rotational speed value of the wind turbine according to the preset sampling period;

Record the number of rotational speed values obtained in the current detection cycle that are greater than the set rotational speed value;

If the number of records recorded in the current detection period is greater than the set value, it is determined that the wind turbine is in an extreme turbulent condition.

According to an aspect of the embodiments of the present invention, after determining that the wind turbine is in an extreme turbulent condition, the method further includes:

The wind turbine is regulated according to at least one of the following strategies:

Control the rated power of the wind turbine to be lowered to the set power, control the rated speed of the wind turbine to be lowered to the set speed, and control the minimum pitch angle of the wind turbine to increase to the set pitch angle.

According to an aspect of the embodiments of the present invention, controlling the rated power of the wind turbine to be reduced to the set power includes controlling the rated power of the wind turbine to be reduced to the set power at a preset rate.

According to an aspect of the embodiments of the present invention, after the wind turbine is regulated according to at least one of the following strategies, the method further includes:

Record the running time of the wind turbine in the operating state after regulation;

If the running duration is not less than the set duration, control the wind turbine to recover from the running state after the regulation to the running state before the control, and enter the next detection cycle.

According to an aspect of the embodiments of the present invention, the method further includes:

Based on the historical wind resource parameters of the area where the wind turbine is located, the simulation is carried out according to standard normal turbulence conditions and standard extreme turbulence conditions;

The first rotational speed value of the wind turbine corresponding to the standard normal turbulence condition and the second rotational speed value of the wind turbine corresponding to the standard extreme turbulence condition in a detection period are counted respectively;

The set rotational speed value is determined based on the first rotational speed value and/or the second rotational speed value.

According to an aspect of the embodiments of the present invention, determining the set rotational speed value according to the first rotational speed value and/or the second rotational speed value includes:

The maximum value among the first rotational speed values is determined as the set rotational speed value.

According to an aspect of the embodiments of the present invention, the method further includes:

Respectively determine the number of first rotational speeds in the first rotational speed values that are greater than the set rotational speed value, and the number of second rotational speeds in the second rotational speed values that are greater than the set rotational speed value;

The set value is determined according to the number of the first rotation speed and the number of the second rotation speed, wherein the set value is greater than the number of the first rotation speed and smaller than the number of the second rotation speed.

According to another aspect of the embodiments of the present invention, there is provided an identification device for extreme turbulence, the identification device comprising:

a rotational speed acquisition module, configured to acquire the rotational speed value of the wind turbine according to a preset sampling period within the current detection period;

The fluctuating rotational speed recording module is used to record the number of rotational speed values obtained in the current detection cycle that is greater than the set rotational speed value;

The extreme turbulence condition determination module is used to determine that the wind turbine is in an extreme turbulent condition when the number of records recorded in the current detection period is greater than the set value.

According to another aspect of the embodiment of the present invention, the identification device further includes:

The extreme turbulence working condition control module is used to control the wind power generating set according to at least one of the following strategies after it is determined that the wind generating set is in the extreme turbulent working condition:

Control the rated power of the wind turbine to be lowered to the set power, control the rated speed of the wind turbine to be lowered to the set speed, and control the minimum pitch angle of the wind turbine to increase to the set pitch angle.

According to another aspect of the embodiment of the present invention, controlling the rated power of the wind turbine to be reduced to the set power includes controlling the rated power of the wind turbine to be reduced to the set power at a preset rate.

According to another aspect of the embodiment of the present invention, the identification device further includes:

A regulation monitoring module, configured to record the operating duration of the wind turbine in the operating state after regulation after the wind turbine is regulated according to at least one of the following strategies;

The extreme turbulence condition control module is also used to control the wind turbine to recover from the operation state after adjustment to the operation state before adjustment and enter the next detection cycle when the operation duration is not less than the set duration.

According to another aspect of the embodiment of the present invention, the identification device further includes:

The threshold determination module is used to simulate the standard normal turbulence conditions and standard extreme turbulence conditions based on the historical wind resource parameters of the area where the wind turbines are located, and count the wind turbines corresponding to the standard normal turbulence conditions in a detection period respectively. The first rotational speed value of , and the second rotational speed value of the wind turbine corresponding to the standard extreme turbulent working condition, determine the set rotational speed value according to the first rotational speed value and/or the second rotational speed value.

According to another aspect of the embodiment of the present invention, the threshold value determination module is specifically configured to determine the maximum value of the first rotational speed values as the set rotational speed value.

According to another aspect of the embodiments of the present invention, the threshold value determination module is further configured to respectively determine the number of first rotational speeds in the first rotational speed values that are greater than the set rotational speed value, and the number of second rotational speeds in the second rotational speed values that are greater than the set rotational speed value. For the number of rotational speeds, the set value is determined according to the number of the first rotational speed and the number of the second rotational speed, wherein the set value is greater than the number of the first rotational speed and smaller than the number of the second rotational speed.

The embodiment of the present invention also provides an identification device for extreme turbulence, and the identification device includes a memory and a processor;

the memory stores computer program code;

The processor is configured to read the computer program code to execute the computer program corresponding to the computer program code, so as to realize the identification method of extreme turbulence as in any embodiment of the present invention.

Embodiments of the present invention also provide a computer-readable storage medium, including computer program instructions, which, when executed on a computer, cause the computer to execute the method for identifying extreme turbulence in any of the embodiments of the present invention.

The method, device, device and computer-readable storage medium for identifying extreme turbulence according to the embodiments of the present invention use the rotational speed of the wind turbine, which is an important input in the control strategy of the wind turbine, to identify extreme turbulence conditions. Therefore, compared with the existing way of evaluating the turbulence intensity based on the wind speed measured by the anemometer, the embodiment of the present invention can more quickly and accurately identify whether the wind turbine is in extreme turbulent operation. It provides support for the adjustment of the control strategy of wind turbines under extreme turbulent conditions.

Description of drawings

Other features, objects and advantages of the present invention will become more apparent upon reading the following detailed description of non-limiting embodiments with reference to the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar features.

FIG. 1 shows a schematic flowchart of a method for identifying extreme turbulence according to an embodiment of the present invention;

FIG. 2 shows a schematic diagram of the variation curve of the rotational speed of the wind turbine over time under extreme turbulence conditions in a specific example of the present invention;

FIG. 3 shows a schematic diagram of the variation curve of the rotational speed of the wind turbine over time under normal turbulent conditions in a specific example of the present invention;

FIG. 4 shows a schematic flowchart of a method for identifying extreme turbulence according to another embodiment of the present invention;

Fig. 5 shows a schematic diagram of the variation curve of the blade root bending moment with time when the extreme turbulence control strategy is turned on under extreme turbulence conditions in a specific example of the present invention;

FIG. 6 shows a schematic diagram of the variation curve of the blade root bending moment with time when the extreme turbulence control strategy is not enabled under extreme turbulence conditions in a specific embodiment of the present invention;

FIG. 7 shows a schematic structural diagram of a device for identifying extreme turbulence according to an embodiment of the present invention;

FIG. 8 shows a schematic structural diagram of a device for identifying extreme turbulence provided in another embodiment of the present invention;

FIG. 9 shows a schematic structural diagram of a device for identifying extreme turbulence provided in yet another embodiment of the present invention;

Fig. 10 shows a schematic structural diagram of a device for identifying extreme turbulence provided in yet another embodiment of the present invention;

FIG. 11 shows a structural diagram of an exemplary hardware architecture of a computing device that can implement the method and apparatus for identifying extreme turbulence according to an embodiment of the present invention.

Detailed ways

Features and exemplary embodiments of various aspects of the invention are described in detail below. In the following detailed description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. However, it will be apparent to one skilled in the art that the present invention may be practiced without some of these specific details. The following description of the embodiments is only intended to provide a better understanding of the present invention by illustrating examples of the invention. The present invention is in no way limited to any specific configurations and algorithms set forth below, but covers any modification, substitution and improvement of elements, components and algorithms without departing from the spirit of the invention. In the drawings and the following description, well-known structures and techniques have not been shown in order to avoid unnecessarily obscuring the present invention.

Turbulence intensity (TI) generally refers to the random variation of wind speed within 10 minutes, and is the ratio of the standard deviation of the average wind speed in 10 minutes to the average wind speed in the same period. As the TI increases, the fatigue load of the important components of the wind turbine also increases. Therefore, it is necessary to monitor the extreme turbulence conditions of the wind turbine, so as to realize the conversion of the control strategy of the wind turbine under the extreme turbulence condition, and reduce the load of the wind turbine under the extreme turbulence condition.

FIG. 1 shows a schematic flowchart of a method for identifying extreme turbulence provided by an embodiment of the present invention. As shown in Figure 1, the identification method mainly includes the following steps:

Step S110: In the current detection period, acquire the rotational speed value of the wind turbine according to a preset sampling period.

The rotational speed of the wind turbine is closely related to the change of the wind speed, and the rotational speed of the wind turbine will be adjusted accordingly with the change of the wind speed. Therefore, the change of the turbulence in the area where the wind turbine is located can be evaluated based on the change of the rotational speed of the wind turbine. . Since the wind turbine is the power input device of the wind turbine, the rotational speed of the wind turbine is an important input in the control strategy of the wind turbine, which can reflect the change of the wind speed in a more real-time manner, and the speed signal is consistent with the data collected by the anemometer. Compared with the wind speed signal, it is more accurate. Therefore, the rotational speed of the wind turbine can more accurately evaluate the change of the turbulent intensity and accurately identify the extreme turbulent conditions.

Since the extreme turbulent working condition is a short-term extreme working condition, in the embodiment of the present invention, a detection period is set, and in each detection period, it is determined whether an extreme turbulent flow condition occurs in the detection period. The detection period is preferably an integer multiple of the sampling period.

In the embodiment of the present invention, the manner of obtaining the rotational speed value of the wind turbine may be selected according to actual application requirements. For example, the rotational speed value of the wind turbine may be directly collected by a rotational speed sensor, or the rotational speed value of the wind turbine fed back by the converter of the wind turbine may be directly obtained.

It can be understood that, before the identification of extreme turbulence conditions is performed based on the obtained rotational speed value of the wind turbine, the obtained rotational speed value of the wind turbine may also be preprocessed to reduce the impact of interference signals on the wind turbine. The effect of rotational speed improves the accuracy of rotational speed for identification of extreme turbulent conditions. Wherein, the above-mentioned preprocessing may include, but is not limited to, filtering and other processing. The filtering process is used to attenuate signals of certain frequencies in the rotational speed signal, so as to reduce the interference of these signals on the rotational speed signal.

Step S120: Record the number of rotational speed values greater than the set rotational speed value among the rotational speed values obtained in the current detection cycle.

Step S130: If the number of records recorded in the current detection period is greater than the set value, it is determined that the wind turbine is in an extreme turbulent condition.

It can be understood that the above set value is not greater than the integer value in the result obtained by dividing the detection period by the sampling period, that is, the set value cannot be greater than the total number of rotational speed values of the wind turbines acquired in one detection period.

In the wind turbine design specification of IEC61400-1 3rd Edition, the extreme turbulence model (ETM) is defined, and the turbulence intensity reflects the fluctuation of wind speed. The larger the load the unit is subjected to. Compared with the normal turbulence condition, the extreme turbulence condition will have many large fluctuations in the wind speed in a short period of time, which will cause the wind turbine rotational speed to change many times in a short time. It starts to record the number of wind turbines whose rotational speed value is greater than the set rotational speed value in the current detection period. During the detection period, the area where the wind turbine is located is in a relatively stable state, and it can be determined that there is no extreme turbulent condition. At this time, the next detection cycle is entered, and the rotational speed value of the wind turbine continues to be obtained according to the above sampling period, and the Record the number of wind turbines whose rotational speed value is greater than the above-mentioned set rotational speed value in the current detection period, and then determine whether extreme turbulent conditions occur according to the recorded number and the above-mentioned set value, so as to realize whether the wind turbine is in Continuous detection of extreme turbulent conditions.

If the number of records is greater than the set value before a current detection period ends, it means that the wind speed has undergone several large changes in a short period of time within the current detection period, and it can be determined that the wind turbine has encountered extreme turbulent conditions. .

In the embodiment of the present invention, before recording the number of rotational speed values greater than the set rotational speed value among the rotational speed values obtained in the current detection period, the identification method may further include:

Based on the historical wind resource parameters of the area where the wind turbine is located, the simulation is carried out according to standard normal turbulence conditions and standard extreme turbulence conditions;

According to the sampling period, count the first rotation speed of the wind turbine corresponding to the standard normal turbulence condition in a detection period, and the second rotation speed of the wind turbine corresponding to the standard extreme turbulence condition in the detection period;

The set rotational speed value is determined according to the first rotational speed and/or the second rotational speed.

Specifically, in order to make the above-mentioned set speed value more consistent with the actual situation of the area where the wind turbine is located, and to ensure that the control strategy for extreme turbulence conditions (including but not limited to power reduction or speed reduction or pitch control), so that the wind turbine is in normal power generation to avoid unnecessary loss of power generation. Wind speed frequency distribution and wind energy frequency distribution and other parameters), and according to the IEC standard normal turbulence model and extreme turbulence condition model to simulate the normal turbulence conditions and extreme turbulence conditions respectively, and according to the above detection period and sampling period, respectively statistics Recording multiple rotational speed values of the wind turbine under two working conditions in one detection period, according to the recorded multiple first rotational speed values under normal turbulent conditions and/or multiple second rotational speed values under extreme turbulent conditions, Determine the set speed value.

In this embodiment of the present invention, determining the set rotational speed value according to the first rotational speed and/or the second rotational speed includes:

The maximum value among the first rotational speed values is determined as the set rotational speed value.

By determining the maximum value of the first rotational speed values as the set rotational speed value, and then configuring the corresponding setting value, it is possible to avoid the occurrence of the normal turbulent working condition being judged as the extreme turbulent working condition, and avoid the extreme turbulent working condition The triggering of the regulation strategy leads to the problem that the power generation of the wind turbine is reduced.

In this embodiment of the present invention, after determining the set rotational speed value according to the first rotational speed value and/or the second rotational speed value, the identification method may further include:

Respectively determine the number of first rotational speeds in the first rotational speed values that are greater than the set rotational speed value, and the number of second rotational speeds in the second rotational speed values that are greater than the set rotational speed value;

The set value is determined according to the number of the first rotation speed and the number of the second rotation speed, wherein the set value is greater than the number of the first rotation speed and smaller than the number of the second rotation speed.

After the above set rotational speed value is determined, the first rotational speed value (corresponding to the normal turbulent flow condition) of the first rotational speed value greater than the set rotational speed value and the second rotational speed value (corresponding to the extreme turbulent flow condition) can be obtained separately. The number of second rotation speeds greater than the set rotation speed value in the working conditions), since the set value is used to distinguish extreme turbulent conditions and normal turbulent conditions, the first number of rotation speeds and the second number of rotations can be obtained based on the above statistics. The number of rotational speeds is determined to obtain a set value that is more in line with the regional environment where the wind turbine is located.

In the embodiment of the present invention, by configuring the set value to a value greater than the number of the first rotational speed, it is avoided that the normal turbulent working condition is judged as the extreme turbulent working condition, and the regulation strategy under the extreme turbulent working condition is triggered, resulting in the wind turbine generator set. problem of reduced power generation.

In an optional embodiment of the present invention, a normal turbulent working condition and an extreme turbulent working condition of the wind turbine can be designed, and the design condition can be a normal turbulent working condition and an extreme turbulent working condition under the rated wind speed of the designed wind turbine, It may also be a normal turbulent working condition and an extreme turbulent working condition under each wind speed section from the cut-in wind speed to the cut-out wind speed of the wind turbine. When designing the normal turbulent conditions and extreme turbulence conditions in each wind speed section from the cut-in wind speed to the cut-out wind speed of the wind turbine, the corresponding sampling period can be calculated according to the normal turbulent conditions in each wind speed section within a detection period. The first rotational speed value of the wind turbine, and the second rotational speed value of the wind turbine corresponding to the extreme turbulence conditions under each wind speed segment, by comparing the first rotational speed value and the second rotational speed corresponding to each wind speed segment respectively. The speed range of each wind speed segment greater than the maximum speed in the first speed value and less than the maximum speed in the second speed value can be obtained, and the set speed value can be determined according to the speed range corresponding to each wind speed segment.

Because for each wind speed segment in the above-mentioned wind speed segments, there is no situation where the wind turbine rotational speed is greater than the minimum value of the rotational speed range under normal turbulent conditions, and there is wind power generation under extreme turbulent conditions. The speed of the unit is greater than the maximum value of the speed range. Therefore, the set speed value for the identification of extreme turbulence conditions can be determined according to the speed range under each wind speed segment, and the set speed value determined at this time is more in line with The regional environment where the wind turbine is located makes the identification results of extreme turbulence conditions more accurate. At this time, the above setting value can be further set so that the number of rotations greater than the set speed value under normal turbulent conditions does not exceed the set value. Therefore, it can ensure that the normal turbulent condition will not be identified as an extreme turbulent condition, and avoid triggering the regulation strategy of the extreme turbulent condition, resulting in the loss of power generation.

In practical applications, according to the rotational speed range corresponding to each wind speed segment, there can be various specific ways to determine the set rotational speed value. For example, one rotational speed value in the rotational speed range corresponding to one wind speed segment can be selected as the setting The rotation speed value can also be the minimum rotation speed in the rotation speed range corresponding to each wind speed value as the set rotation speed value, or the minimum rotation speed value in all rotation speed ranges can be averaged or the maximum rotation speed value can be averaged. The average value of the wind speed can be used as the set speed value, or a speed value or the minimum speed value in the speed range corresponding to the wind speed value that is closest to the mean value of the cut-in wind speed and the cut-out wind speed can be used as the set speed value. A rotational speed value in the rotational speed range corresponding to the wind speed segment where the rated wind speed of the wind turbine is closest to is used as the set rotational speed value and so on.

It can be understood that, in practical applications, the above-mentioned set rotational speed value can also be set directly according to an empirical value.

As a specific example, Fig. 2 and Fig. 3 respectively show a schematic diagram of the variation curve of the rotational speed of the wind turbine over time under extreme turbulence conditions in a certain wind speed segment and the normal turbulent flow when the detection period is 600S and the sampling period is 0.02S. Schematic diagram of the change curve of wind turbine speed with time under working conditions. The abscissa in the figure represents the time, in seconds, and the ordinate represents the speed of the wind turbine, in revolutions per minute. It can be seen from Fig. 2 and Fig. 3 that the rotational speed V ₀ in the figure is a rotational speed threshold that is greater than the maximum rotational speed in the first rotational speed value corresponding to the normal turbulent condition and smaller than the maximum rotational speed in the second rotational speed value corresponding to the extreme turbulent condition. , therefore, V ₀ can be used as the set speed value that can be used to identify extreme turbulent conditions.

In addition, it can be seen from Figure 2 and Figure 3 that in this specific example, there are 4 rotational speeds greater than the set rotational speed value under extreme turbulent conditions, and zero rotational speeds greater than the set rotational speed value under normal turbulent conditions. Therefore, The setting value can be set to 3 in this specific example.

The extreme turbulence identification method of the embodiment of the present invention realizes the real-time monitoring and determination of the turbulent working condition of the wind turbine with one detection period as the period, which is different from the existing method of evaluating regional turbulence based on the wind speed measured by the anemometer. The speed of the wind turbine, which is an important input in the control strategy of the wind turbine, is used for evaluation, which can more quickly and accurately identify whether the wind turbine is in extreme turbulence conditions, which is the control strategy for wind turbines under extreme turbulence conditions. The adjustment provides support to be able to control the wind turbine to make rapid adjustments in extreme turbulent conditions, reducing the load on the wind turbine.

FIG. 4 shows a schematic flowchart of a method for identifying extreme turbulence in another embodiment of the present invention. As shown in FIG. 4 , after determining that the wind turbine is in an extreme turbulent condition, the identification method in the embodiment of the present invention may further include:

Step S140: Control the wind turbine according to the preset extreme turbulence control strategy.

In order to reduce the limit load of the wind turbine under extreme turbulence conditions and prolong the life of the wind turbine, in the embodiment of the present invention, when it is determined that the wind turbine is in the extreme turbulence condition, it is necessary to control the wind power generation according to the extreme turbulence control strategy. The unit is regulated to reduce the load on the wind turbine.

It should be noted that, in practical applications, it is also possible to set whether to enable the above extreme turbulence control strategy according to the actual application scenario, that is, by setting the control strategy enable flag, after determining that the wind turbine is in extreme turbulence conditions, first By judging whether the enable flag of the regulation strategy is turned on, if it is turned on, the wind turbine will be regulated accordingly according to the extreme turbulence regulation strategy. If the enable flag is not turned on, no regulation will be processed, which better meets the practical application need.

In this embodiment of the present invention, the extreme turbulence control strategy may include, but is not limited to, at least one of the following strategies:

Control the rated power of the wind turbine to be lowered to the set power, control the rated speed of the wind turbine to be lowered to the set speed, and control the minimum pitch angle of the wind turbine to increase to the set pitch angle.

Changes in the output power of wind turbines will bring about load fluctuations. Therefore, under extreme turbulent conditions, the load on extreme wind turbines can be reduced by directly reducing the rated power of wind turbines.

When the wind speed is lower than the rated wind speed of the wind turbine, the rotational speed of the wind turbine will increase with the increase of the wind speed until the rotational speed reaches the rated speed of the wind turbine, and the output power of the wind turbine will also correspond to the increase of the rotational speed. Therefore, the load on the wind turbine can be regulated by reducing the rated speed of the wind turbine.

The pitch angle of the blades of the wind turbine will be automatically adjusted with the change of wind speed. The minimum pitch angle is the minimum angle that the blade pitch angle can change. In extreme turbulent conditions, due to the wind speed There are many changes in a short period of time, so the pitch angle will also change in a short period of time and many times, and it will frequently change at a certain angle value (the angle value can be different according to the different working conditions of the wind turbine generator set). ) and the minimum pitch angle change within the angle range, resulting in an increase in the load borne by the wind turbine. Therefore, the minimum pitch angle of the wind turbine can be increased to reduce the angle when the pitch angle changes. The change range, by limiting the change range of the pitch angle, achieves the purpose of reducing the load of the wind turbine under extreme turbulent conditions.

In an optional embodiment of the present invention, controlling the output power of the wind turbine to be reduced from the rated power to the set power includes: controlling the rated power of the wind turbine to be reduced to the set power at a preset rate.

In order to further reduce the load on the wind turbine in the process of regulating the output power of the wind turbine, the output power of the wind turbine can be gradually reduced from the rated power to the set power according to a preset rate.

As a specific example, Figures 5 and 6 respectively show the wind power in extreme turbulent conditions when the power reduction function (that is, controlling the rated power of the wind turbine to reduce the rated power to the set power) is turned on and the power reduction function is turned off. Schematic diagram of the change curve of the blade root bending moment of the generator set. In the figure, the abscissa represents the time, in seconds, and the ordinate represents the blade root bending moment (My), in kN meters. It can be seen from Figure 5 and Figure 6 that by turning on the power reduction function, the blade root bending moment of the wind turbine can be effectively reduced, and the load on the wind turbine can be reduced.

In the embodiment of the present invention, after the wind turbine is regulated according to the preset extreme turbulence regulation strategy, the method further includes:

Record the running time of the wind turbine in the operating state after regulation;

If the running duration is not less than the set duration, control the wind turbine to recover from the running state after the regulation to the running state before the regulation, and enter the next detection cycle.

In the embodiment of the present invention, since the extreme turbulent working condition is generally a short-term working condition, in order to reduce the loss of power generation caused by the regulation of the extreme turbulent working condition, it is necessary to set the duration of the regulation. When the running duration in the running state is greater than the set duration, control the wind turbine to return to the running state before the regulation, so as to ensure the power generation of the wind turbine. After controlling the wind turbine to recover from the operation state after regulation to the operation state before regulation, directly enter the next detection cycle, continue to obtain the rotational speed of the wind turbine according to the above acquisition cycle, and record the current detection cycle (that is, the next detection cycle) The number of wind speeds obtained in the detection period) is greater than the set rotational speed value, so as to realize the continuous determination and identification of extreme turbulent conditions.

FIG. 7 shows a schematic structural diagram of a device for identifying extreme turbulence in an embodiment of the present invention. As shown in FIG. 7 , the identification device 100 in the embodiment of the present invention may include a rotational speed acquisition module 110 , a fluctuating rotational speed recording module 120 , and an extreme turbulent flow condition determination module 130 .

The rotational speed acquiring module 110 is configured to acquire the rotational speed value of the wind turbine according to a preset sampling period in the current detection period.

The fluctuating rotational speed recording module 120 is configured to record the number of rotational speed values greater than the set rotational speed value among the rotational speed values obtained in the current detection period.

The extreme turbulence condition determination module 130 is configured to determine that the wind turbine is in an extreme turbulent condition when the number of records recorded in the current detection period is greater than the set value.

FIG. 8 shows a schematic structural diagram of a device for identifying extreme turbulence in an embodiment of the present invention. As shown in FIG. 8 , the identification device 100 according to the embodiment of the present invention may further include an extreme turbulence working condition regulation module 140 .

The extreme turbulence condition control module 140 is configured to control the wind generator set according to at least one of the following strategies after it is determined that the wind generator set is in an extreme turbulence condition:

Control the rated power of the wind turbine to be lowered to the set power, control the rated speed of the wind turbine to be lowered to the set speed, and control the minimum pitch angle of the wind turbine to increase to the set pitch angle.

In the embodiment of the present invention, controlling the rated power of the wind generator set to be reduced to the set power includes controlling the rated power of the wind generator set to be reduced to the set power at a preset rate.

In this embodiment of the present invention, as shown in FIG. 9 , the identification device 100 may further include a regulation and monitoring module 150 .

The regulation monitoring module 150 is configured to record the operation duration of the wind turbine in the operating state after regulation after the wind turbine is controlled according to at least one of the following strategies.

Correspondingly, the extreme turbulence condition control module 140 is further configured to control the wind turbine to recover from the operation state after adjustment to the operation state before adjustment and enter the next detection cycle when the operation duration is not less than the set duration.

In this embodiment of the present invention, as shown in FIG. 10 , the identification apparatus 100 may further include a threshold determination module 160 .

The threshold determination module 160 is configured to perform simulation according to the standard normal turbulence working condition and the standard extreme turbulent working condition based on the historical wind resource parameters of the area where the wind turbine is located, and count the wind power generation corresponding to the standard normal turbulent working condition in a detection period respectively The first rotational speed value of the generator set, and the second rotational speed value of the wind power generator set corresponding to the standard extreme turbulent condition, determine the set rotational speed value according to the first rotational speed value and/or the second rotational speed value.

In this embodiment of the present invention, the threshold value determination module 160 is specifically configured to determine the maximum value of the first rotational speeds as the set rotational speed value.

In this embodiment of the present invention, the threshold determination module 160 is further configured to respectively determine the number of the first rotational speeds that are greater than the set rotational speed value among the first rotational speeds, and the number of the second rotational speeds that are greater than the set rotational speed value. The set value is determined according to the number of the first rotation speed and the number of the second rotation speed, wherein the set value is greater than the number of the first rotation speed and smaller than the number of the second rotation speed.

It can be understood that the apparatus for identifying extreme turbulence 300 according to the embodiment of the present invention may correspond to the execution subject of the method for identifying extreme turbulence according to the embodiment of the present invention, and the above operations and/or functions of each module of the apparatus 300 are respectively The purpose is to implement the corresponding procedures of the extreme turbulent flow identification methods according to the embodiments of the present invention, which are not repeated here for brevity.

At least a part of the method and apparatus for identifying extreme turbulence according to embodiments of the present invention described in conjunction with FIGS. 1 to 10 may be implemented by a computing device. FIG. 11 shows a schematic structural block diagram of a computing device according to an embodiment of the present invention. As shown in FIG. 11 , computing device 200 may include input device 201 , input interface 202 , processor 203 , memory 204 , output interface 205 , and output device 206 . The input interface 202, the processor 203, the memory 204, and the output interface 205 are connected to each other through the bus 210, and the input device 201 and the output device 206 are connected to the bus 210 through the input interface 202 and the output interface 205, respectively, and then to the computing device 200. other components are connected. Specifically, the input device 201 receives input information from the outside, and transmits the input information to the processor 203 through the input interface 202; the processor 203 processes the input information based on the computer-executable instructions stored in the memory 204 to generate output information, The output information is temporarily or permanently stored in the memory 204, and then transmitted to the output device 206 through the output interface 205; the output device 206 outputs the output information to the outside of the computing device 200 for the user to use.

That is, the computing device 200 shown in FIG. 11 may be implemented as an extremely turbulent identification device, which may include a memory 204 and a processor 203 . The memory 204 is used to store a computer program, and the processor 203 is used to execute the computer program stored in the memory 204, so as to implement the method for identifying extreme turbulence in any of the foregoing embodiments of the present invention.

Embodiments of the present invention further provide a computer-readable storage medium, where computer instructions are stored in the computer-readable storage medium, and when the computer instructions are executed on the computer, the computer can perform the identification of extreme turbulence in any of the above-mentioned embodiments of the present invention method.

The functional blocks shown in the above-described structural block diagrams may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an application specific integrated circuit (ASIC), suitable firmware, a plug-in, a function card, or the like. When implemented in software, elements of the invention are programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted over a transmission medium or communication link by a data signal carried in a carrier wave. A "machine-readable medium" may include any medium that can store or transmit information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio frequency (RF) links, and the like. The code segments may be downloaded via a computer network such as the Internet, an intranet, or the like.

It should be noted that, in this document, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any relationship between these entities or operations. any such actual relationship or sequence exists. Moreover, the terms "comprising", "comprising" or any other variation thereof are intended to encompass a non-exclusive inclusion such that a process, method, article or device that includes a list of elements includes not only those elements, but also includes not explicitly listed or other elements inherent to such a process, method, article or apparatus. Without further limitation, an element defined by the phrase "comprises" does not preclude the presence of additional identical elements in a process, method, article, or device that includes the element.

It should also be noted that the exemplary embodiments mentioned in the present invention describe some methods or systems based on a series of steps or devices. However, the present invention is not limited to the order of the above steps, that is, the steps may be performed in the order mentioned in the embodiments, or different from the order in the embodiments or several steps may be performed simultaneously.

The present invention may be embodied in other specific forms without departing from its spirit or essential characteristics. Accordingly, the present embodiments are to be considered in all respects as illustrative and not restrictive, and the scope of the present invention is defined by the appended claims rather than the foregoing description, and falls within the meaning and equivalents of the claims. All changes within the scope are thus included in the scope of the invention.

Claims (14)

1. an identification method of extreme turbulence, is characterized in that, described identification method comprises: During the current detection period, obtain the rotational speed value of the wind turbine according to the preset sampling period; Record the number of rotational speed values obtained in the current detection cycle that is greater than the set rotational speed value; If the number recorded in the current detection period is greater than the set value, it is determined that the wind turbine is in an extreme turbulent condition; Wherein, the identification method further includes: Based on the historical wind resource parameters of the area where the wind turbine is located, simulation is performed according to standard normal turbulence conditions and standard extreme turbulence conditions; Counting respectively the first rotational speed value of the wind turbine generator set corresponding to the standard normal turbulence working condition and the second rotational speed value of the wind turbine generator set corresponding to the standard extreme turbulence working condition in one of the detection periods; The set rotational speed value is determined according to the first rotational speed value and/or the second rotational speed value. 2 . The identification method according to claim 1 , wherein after determining that the wind turbine is in an extreme turbulent condition, the method further comprises: 2 . The wind turbine is regulated according to at least one of the following strategies: The rated power of the wind turbine is controlled to be lowered to the set power, the rated speed of the wind turbine is controlled to be lowered to the set speed, and the minimum pitch angle of the wind turbine is controlled to be increased to the set pitch angle. 3 . The identification method according to claim 2 , wherein the controlling the rated power of the wind turbine to be reduced to a set power comprises: controlling the rated power of the wind turbine to be reduced at a preset rate. 4 . to the set power. 4. The identification method according to claim 3, characterized in that, after the wind turbine is regulated according to at least one of the following strategies, the method further comprises: recording the running duration of the wind turbine in the operating state after regulation; If the running duration is not less than the set duration, the wind power generating set is controlled to recover from the running state after the regulation to the running state before the control, and enters the next detection cycle. 5. The identification method according to claim 1, wherein the determining the set rotational speed value according to the first rotational speed value and/or the second rotational speed value comprises: A maximum value among the first rotational speed values is determined as the set rotational speed value. 6. The identification method according to claim 5, wherein the method further comprises: respectively determining the number of first rotational speeds greater than the set rotational speed value among the first rotational speed values, and the number of second rotational speeds greater than the set rotational speed value among the second rotational speed values; The set value is determined according to the number of the first rotation speed and the number of the second rotation speed, wherein the set value is greater than the number of the first rotation speed and smaller than the number of the second rotation speed. 7. An identification device for extreme turbulence, characterized in that the identification device comprises: a rotational speed acquisition module, configured to acquire the rotational speed value of the wind turbine according to a preset sampling period within the current detection period; A fluctuating rotational speed recording module, used for recording the number of rotational speed values obtained in the current detection period that is greater than the set rotational speed value; an extreme turbulent condition determination module, configured to determine that the wind turbine is in an extreme turbulent condition when the number recorded in the current detection period is greater than a set value; A threshold value determination module is used to simulate according to the standard normal turbulence working condition and the standard extreme turbulent working condition based on the historical wind resource parameters of the area where the wind turbine is located; respectively count the corresponding standard normal turbulent working conditions in one detection period the first rotational speed value of the wind turbine generator set, and the second rotational speed value of the wind turbine generator set corresponding to the standard extreme turbulent conditions; determine the first rotational speed value and/or the second rotational speed value the set speed value. 8. The identification device according to claim 7, wherein the identification device further comprises: The extreme turbulence working condition control module is used to control the wind power generating set according to at least one of the following strategies after it is determined that the wind power generating set is in the extreme turbulent working condition: The rated power of the wind turbine is controlled to be lowered to the set power, the rated speed of the wind turbine is controlled to be lowered to the set speed, and the minimum pitch angle of the wind turbine is controlled to be increased to the set pitch angle. 9 . The identification device according to claim 8 , wherein the controlling the rated power of the wind turbine to be reduced to a set power comprises: controlling the rated power of the wind turbine to be reduced at a preset rate. 10 . to the set power. 10. The identification device according to claim 8, wherein the identification device further comprises: A regulation and monitoring module, configured to record the operating duration of the wind turbine in the operating state after regulation after the wind turbine is regulated according to at least one of the following strategies; The extreme turbulence working condition regulation module is also used to control the wind turbine to recover from the operation state after the regulation to the operation state before the regulation, and enter the next operation when the operation duration is not less than the set duration detection cycle. 11. The identification device according to claim 7, characterized in that, The threshold value determination module is specifically configured to determine the maximum value of the first rotational speed values as the set rotational speed value. 12. The identification device according to claim 11, characterized in that, The threshold value determination module is further configured to respectively determine the number of first rotational speeds greater than the set rotational speed value among the first rotational speed values, and the second rotational speed values greater than the set rotational speed value among the second rotational speed values. The number of rotational speeds, the set value is determined according to the number of the first rotational speed and the number of the second rotational speed, wherein the set value is greater than the number of the first rotational speed and smaller than the number of the second rotational speed number. 13. An identification device for extreme turbulence, characterized in that the identification device comprises a memory and a processor; the memory stores computer program code; The processor is configured to read the computer program code to run a computer program corresponding to the computer program code, so as to implement the method for identifying extreme turbulence according to any one of claims 1 to 6. 14. A computer-readable storage medium comprising computer program instructions which, when executed on a computer, cause the computer to perform the extreme turbulence of any one of claims 1 to 6. recognition methods.

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