CN105649878B - Wind energy capture method, device and wind power generating set for wind power generating set - Google Patents

Abstract

Embodiments of the present invention provide a wind energy capture method and device for a wind turbine and a wind turbine. The method includes: obtaining wind condition data in real time according to a predetermined period; performing scatter point fitting on the wind condition data acquired within the predetermined period to obtain a geometric center point of the wind condition data, and the geometric center point is used to represent the maximum wind energy value. location; compare the geometric center point with the target geometric center point, and execute the corresponding wind turbine control strategy based on the comparison results. By adopting the embodiments of the present invention, the wind energy capture capability of the wind turbine can be effectively improved, as well as the reliability of the wind turbine. At the same time, the increase in wind turbine load and wake effect caused by the impeller not facing the windward side can be reduced, and wind power generation can be reduced. Unit failure and maintenance costs.

Description

Wind energy capture method, device and wind power generating set for wind power generating set

technical field

The invention relates to wind power technology, in particular to a method and device for capturing wind energy of a wind power generating set and a wind generating set.

Background technique

A wind turbine is a device that converts the captured wind energy into mechanical energy, and then converts the mechanical energy into electrical energy.

In the actual operation of wind turbines, in order to maximize the use of wind resources and increase power generation, the nose of the wind turbines is generally adjusted through the yaw system so that the impellers are facing the windward direction, and the yaw in the wind turbines The control strategy mainly collects the current wind speed and direction through the wind vane.

However, the current wind speed and direction cannot be accurately collected through the wind vane, and the maximum wind energy cannot be captured. If the impeller is not facing the windward side, the load of the fan will increase and the wake effect will be serious, which will seriously affect the normal operation of the fan and lose power generation.

Contents of the invention

The purpose of the present invention is to provide a method for a wind power generating set to capture the maximum wind energy, and a device for realizing the method, so as to effectively improve the wind power generating set's ability to capture wind energy and the reliability of the wind power generating set, and at the same time reduce the failure rate of the impeller. The wind turbine load increase and wake effect caused by facing the windward side reduce the failure and maintenance costs of wind turbines.

According to an aspect of the present invention, a method for capturing wind energy of a wind power generating set is provided. The methods include:

Obtain wind data in real time according to a predetermined period;

performing scatter-fitting on the wind condition data acquired within the predetermined period to obtain a geometric center point of the wind condition data, and the geometric center point is used to indicate the position of the maximum wind energy value;

The geometric center point is compared with the target geometric center point, and a corresponding wind generator control strategy is executed according to the comparison result.

According to another aspect of the invention, an arrangement for controlling wind energy capture of a wind park is provided. The devices include:

A wind condition data acquisition module is used to acquire wind condition data in real time according to a predetermined period;

A geometric center point determination module, configured to perform scatter fitting on the wind condition data acquired within the predetermined period to obtain a geometric center point of the wind condition data, and the geometric center point is used to indicate the position of the maximum wind energy value;

The control module is used to compare the geometric center point with the target geometric center point, and execute a corresponding wind power generator control strategy according to the comparison result.

According to yet another aspect of the present invention, a wind turbine is provided. The wind power generating set includes the wind energy capture device of the wind generating set provided in the above embodiments.

According to the wind energy capture method and device of the wind power generator set and the wind power generator set provided in the embodiments of the present invention, the wind condition data is obtained by using the wind condition data acquired in real time within a predetermined period and performing scatter fitting on the wind condition data The geometric center point, and then by comparing with the target geometric center point, to control the wind energy capture of the wind turbine, so as to effectively improve the wind energy capture ability of the wind turbine and the reliability of the wind turbine, and at the same time Reduce the fan load increase and wake effect caused by the impeller not facing the windward side, and reduce the failure and maintenance costs of wind turbines.

Description of drawings

Fig. 1 is a flow chart showing a method for capturing wind energy of a wind power generating set according to Embodiment 1 of the present invention;

Fig. 2 is a flow chart showing a method for capturing wind energy of a wind power generating set according to Embodiment 2 of the present invention;

Fig. 3 is an exemplary schematic diagram showing a geometric figure formed by data points of wind condition data in a polar coordinate system;

Fig. 4 is an exemplary schematic diagram showing the direction of the maximum wind energy value corresponding to the wind condition data in the polar coordinate system;

Fig. 5 is an exemplary schematic diagram showing the direction in which the wind speed unit vector is projected to the maximum wind energy value;

Fig. 6 is a logic block diagram showing a wind energy capture device of a wind power generating set according to Embodiment 3 of the present invention;

Fig. 7 is a logic block diagram showing a wind energy capture device for a wind power generating set according to Embodiment 3 of the present invention.

Detailed ways

The inventive idea of this scheme is that, considering that the geometric center point of a geometric figure can reflect the concentrated position of the points in the geometric figure, therefore, the target geometric center point can be combined with the wind condition data collected in a predetermined period The corresponding geometric center points are compared to enable the wind turbine to execute the corresponding control strategy, thereby effectively improving the wind energy capture ability of the wind turbine and the reliability of the wind turbine, and at the same time reducing the impeller not facing the windward side The resulting wind turbine load increase and wake effect reduce the failure and maintenance costs of wind turbines.

Exemplary embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

Embodiment one

Fig. 1 is a flow chart showing a method for capturing wind energy of a wind power generating set according to Embodiment 1 of the present invention. The method is performed by including the apparatus shown in FIG. 6 .

Referring to FIG. 1, in step S110, wind condition data is acquired in real time according to a predetermined period.

Wherein, the predetermined period can be set according to actual conditions, such as 20 seconds, 1 minute, 5 minutes or 10 minutes. The wind condition data may include wind speed data and/or wind direction data, etc., and the wind direction may be determined by a predetermined reference direction, for example, if the reference direction is true north, then the value of the wind direction may be an angle relative to the true north direction value.

Specifically, a wind condition data acquisition component for collecting wind condition data such as wind speed and/or wind direction at the current moment may be preset, and the wind condition data acquisition module may specifically be a radar, an anemometer, or a wind vane. When the wind power generating set is working, the value of the instantaneous wind speed and the corresponding wind direction at a certain time point can be collected through wind condition data acquisition components such as radar. In order to facilitate the analysis of wind condition data in a certain period of time, a certain duration (that is, a predetermined period) can be preset, and the wind turbine can collect the instantaneous wind speed value and corresponding wind direction.

In addition, because the environment around the wind turbine, the data of wind speed and wind direction change from time to time, in order to reduce the processing pressure of the wind turbine, the time interval of data collection can also be set, such as 5 seconds or 10 seconds. In this way, whenever the time interval is reached, the wind condition data acquisition component collects the value of the instantaneous wind speed and the corresponding wind direction at the current moment, and so on, until the time corresponding to the predetermined period is reached, and the number of data collected in the predetermined period is obtained. Wind data at a point in time.

In step S120, scatter fitting is performed on the wind condition data acquired within the predetermined period to obtain a geometric center point of the wind condition data, and the geometric center point is used to indicate the position of the maximum wind energy value.

Among them, the scatter point fitting can be used to fit discrete data points, so that multiple discrete data points can be combined into a geometric figure.

Specifically, the instantaneous wind speed value collected by radar and other wind condition data acquisition components and the corresponding wind direction and other data can be set in a coordinate system (such as a plane Cartesian coordinate system or a polar coordinate system, etc.) according to predetermined rules. After the setting is completed, The data points of the wind data at multiple time points can be connected in turn, and the connected data points can form a geometric figure, considering that the geometric center point of a geometric figure can reflect the concentrated position of the points in the geometric figure , therefore, the direction in which the maximum wind energy value of the current wind power generating unit is located can be determined by means of the geometric center point of the wind condition data. Based on this, the geometry Center point, and get the wind speed value and wind direction of the geometric center point, so as to get the geometric center point of the wind condition data.

In step S130, the geometric center point is compared with the target geometric center point, and a corresponding wind power generator control strategy is executed according to the comparison result.

Wherein, the target geometric center point can be a pre-stored geometric center point, and the target geometric center point can be the geometric center point corresponding to the wind condition data obtained in the previous predetermined period, or the wind condition data in the time period before the current moment The corresponding geometric center point.

Specifically, in the embodiment of the present invention, the target geometric center point is taken as an example to describe in detail the geometric center point corresponding to the wind condition data obtained in the previous predetermined period, specifically as follows: In order to control the wind energy capture of the wind power generating set, the The target geometric center point of the previous predetermined period is determined through the above steps S110 and S120, and stored in the wind power generator set, wherein the data of the target geometric center point may include the value of the wind speed and the corresponding wind direction. The geometric center point of the wind condition data acquired in real time within a predetermined period can be compared with the target geometric center point of the previous predetermined period, and if the geometric center point is different from the wind condition data of the target geometric center point, the wind power generating set can be The nose of the wind turbine is adjusted from the target geometric center point to the geometric center point, so as to control the wind energy capture of the wind turbine, so that the wind turbine can capture the maximum wind energy and improve the power generation efficiency of the wind turbine.

The wind energy capture method of the wind power generating set provided by the embodiment of the present invention obtains the geometric center point of the wind condition data through the wind condition data acquired in real time within a predetermined period, and performs scatter fitting on the wind condition data, and then obtains the geometric center point of the wind condition data by Compared with the target geometric center point to control the wind energy capture of the wind turbine, so as to effectively improve the wind energy capture ability of the wind turbine and the reliability of the wind turbine, and at the same time reduce the impeller not facing the windward side The resulting wind turbine load increase and wake effect reduce the failure and maintenance costs of wind turbines.

Embodiment two

FIG. 2 is a flow chart showing a method for capturing wind energy of a wind power generating set according to Embodiment 2 of the present invention, and the embodiment can be regarded as another specific implementation solution of FIG. 1 .

Referring to Fig. 2, in step S210, the pre-stored historical wind condition data is acquired.

Wherein, the wind condition data in the embodiment of the present invention can include the numerical value of wind speed and wind direction, and wind direction can be described by geographical direction, also can be described by the angle determined with preset positive direction, for example, can set true north The direction is the positive direction, and the angle rotated clockwise from the positive direction is taken as the wind direction.

Specifically, in order to improve the accuracy of the measured wind data, radar can be selected as the wind data acquisition component. The radar collects the value of the wind speed and the corresponding wind direction at the current time point according to the preset time interval, and the collected The value of the wind speed and the corresponding wind direction are stored corresponding to the current time point, so as to obtain the historical wind condition data.

It should be noted that since the radar has been in the working state for a long time, the amount of wind data acquired by it is relatively large, and the historical wind data can be classified according to different seasons or different wind conditions in different time periods to obtain Multiple categories of historical wind data, such as historical wind data in spring, etc.

In addition, considering that the wind speed and wind direction are always changing, and the data volume of all historical wind data stored in advance is relatively large, all historical wind data can be divided into bins according to a predetermined cycle, and all historical wind data Divide into sections.

For example, the predetermined period is 10 minutes, and the historical wind condition data can include the value of wind speed and the corresponding wind direction, the value of wind speed can be represented by V ₁ , V ₂ ... V ₁₁ , and the wind direction can be represented by A ₁ , A ₂ ... A ₁₁ , As shown in Table 1,

Table 1

point in time wind speed wind direction 14:20:00 V ₁ A ₁ 14:22:00 V ₂ A ₂ 14:24:00 V ₃ A ₃ 14:26:00 V ₄ A ₄ 14:28:00 V ₅ A ₅ 14:30:00 V ₆ A ₆ 14:32:00 V ₇ A ₇ 14:34:00 V ₈ A ₈ 14:36:00 V ₉ A ₉ 14:38:00 V ₁₀ A ₁₀ 14:40:00 V ₁₁ A ₁₁

Since the predetermined period is 10 minutes, the historical wind data as shown in Table 1 can be time points 14:20:00, 14:22:00, 14:24:00, 14:26:00, 14:28: The historical wind data corresponding to 00 and 14:30:00 is determined as the historical wind data corresponding to a predetermined period, and the historical wind data corresponding to two adjacent predetermined periods can be obtained through the historical wind data in Table 1, the first The time period corresponding to each historical wind condition data is 14:20:00～14:30:00, and the wind condition data may include: (V ₁ , A ₁ ), (V ₂ , A ₂ ), (V ₃ , A ₃ ), (V ₄ , A ₄ ), (V ₅ , A ₅ ) and (V ₆ , A ₆ ); the time period corresponding to the second sub-bin wind condition data is 14:30:00～14:40:00 , wind data may include: (V ₆ , A ₆ ), (V ₇ , A ₇ ), (V ₈ , A ₈ ), (V ₉ , A ₉ ), (V ₁₀ , A ₁₀ ) and (V ₁₁ , A ₁₁ ).

In step S220, the historical wind condition data is preprocessed to remove the disturbing wind condition data to obtain effective historical wind condition data.

Specifically, because the wind power generation unit will be affected by a gust of wind or other external environments at a certain moment, the value and direction of the wind speed obtained at this time often deviate greatly from the gathering position of the historical wind data, so that the historical wind data The accuracy is reduced. In order to improve the accuracy of the historical wind data and the precise control of the wind energy capture of the wind turbines, the above data points that deviate from most of the data points can be deleted from the historical wind data to obtain an effective historical data. Wind data, which reduces the unstable interference data caused by gusts or other external factors.

In step S230, scatter fitting is performed on the historical wind condition data to obtain the target geometric center point corresponding to the historical wind condition data.

Wherein, the historical wind condition data may be effective historical data obtained after the preprocessing in step S220, or historical wind condition data without preprocessing.

Specifically, the historical wind data can be scatter-fitted, that is, the data points in the historical wind data can be connected to form a geometric figure, and the position of the geometric center point of the geometric figure can be calculated as the historical wind data. The target geometric center point corresponding to the state data, the specific processing process can refer to the relevant content of step S120 in the first embodiment above, and will not be repeated here.

Wherein, the specific implementation manners of the processing of the above-mentioned step S230 can be various, and a specific processing manner is provided below, which may specifically include the following contents:

Step 1, import the historical wind data into the polar coordinate system.

Specifically, in order to simplify the data processing process and take into account the data form in the wind condition data (ie, including the value of wind speed and wind direction), the wind condition data can be set in the form of polar coordinates. Specifically, in order to simplify the representation of wind condition data, the position of the wind condition data acquisition component (ie, radar) can be used as the pole, and the due east direction perpendicular to the due north direction can be used as the polar axis direction to establish a polar coordinate system. According to the wind speed value and wind direction of any data point in the historical wind data (such as the wind data (V ₁ , A ₁ ) and (V ₂ , A ₂ ) in Table 1, etc.), the above data corresponding to The coordinate points are plotted into the polar coordinate system, so as to obtain the position of the historical wind condition data in the polar coordinate system. Among them, the wind direction can be the angle between the polar axis and the distance between the pole and the data point is the value of the wind speed.

Step 2, connect the outermost data points of the historical wind condition data to obtain a closed geometric figure, and use the geometric center point of the geometric figure as the target geometric center point.

Specifically, considering that the shape of the geometric figure mainly depends on the shape determined by the outermost data points (or coordinate points), when determining the geometric center point of the geometric figure, the geometric figure can be obtained by connecting the outermost data points. Specifically, after the historical wind condition data is depicted on the polar coordinate system, the outermost data points (or coordinate points) in the polar coordinate system can be connected by polylines. After the connection is completed, a closed rule or For an irregular geometric figure, at this time, other data points in the historical wind condition data except the outermost data point may also be included in the closed geometric figure. Afterwards, the coordinate value of the geometric center point of the geometric figure may be calculated, and the geometric center point may be used as the target geometric center point corresponding to the historical wind condition data.

For example, as shown in Figure 3, two wind condition data are included in the polar coordinate system, that is, the first wind condition data composed of the data corresponding to the black dots (including B ₁ , B ₂ ... B ₁₂ ), and the hollow The second wind condition data composed of the data corresponding to the dots (including C ₁ , C ₂ ... C ₁₁ ), where the black dots B ₁ , B ₂ and B ₃ corresponding to the first wind condition data deviate from other data Points, these data points can be ignored, for the remaining black dots, the outermost B ₄ , B ₅ , B ₆ , B ₇ , B ₈ , B ₉ , B ₁₀ and B ₁₁ can be connected to form a closed The geometric figure, the coordinate value of the geometric center point of the geometric figure can be calculated, and the geometric center point B ₀ can be obtained through calculation, wherein, B ₁₂ is inside the geometric figure. Similarly, for the second wind condition data, C ₁ and C ₂ can be eliminated, and C ₃ , C ₄ , C ₅ , C ₆ , C ₇ , C ₈ , C ₉ , C ₁₀ and C ₁₁ can be connected to form a For a closed geometric figure, the coordinate value of the geometric center point of the geometric figure can be calculated, and the geometric center point C ₀ can be obtained through calculation.

It should be noted that the processing of step S120 in the first embodiment above can also be processed through the above steps 1 and 2. For details, please refer to the relevant content of the above steps 1 and 2, which will not be repeated here.

In step S240, wind condition data is acquired in real time according to a predetermined period.

In step S250, scatter fitting is performed on the wind condition data obtained within a predetermined period to obtain a geometric center point of the wind condition data, and the geometric center point is used to indicate the position of the maximum wind energy value.

Wherein, for the processing of the above steps S240 and S250, reference may be made to the relevant content of the steps S110 and S120 in the first embodiment above, and details are not repeated here.

In step S260, calculate the value of the included angle between the line from the pole of the polar coordinate system to the geometric center point and the line to the target geometric center point.

The direction of the maximum wind energy value can include two parts, namely: the direction from the pole of the polar coordinate system to the target geometric center point is used as the direction of the maximum wind energy value corresponding to the historical wind data; The direction from the pole to the geometric center point is taken as the direction of the maximum wind energy value corresponding to the wind condition data.

Based on this, the concrete processing of above-mentioned step S260 can be: based on the example of Fig. 3, the coordinate data of black dot among Fig. 3 can be set as historical wind condition data, the coordinate data of hollow dot among Fig. 3 is set as The obtained wind condition data, as shown in Figure 4, can draw a ray from the pole O of the polar coordinate system to the target geometric center point _B0 , that is, the ray K1 in Figure ₄ ; from the pole O to the Draw a ray at the geometric center point C ₀ , that is, ray K ₂ in Figure 4, so that the directions of ray K ₁ and ray K ₂ are respectively the direction of the maximum wind energy value in the previous predetermined period and the maximum wind energy value in the current predetermined period in the direction.

Further, as shown in Figure 5, using the unit vector projection calculation formula

Each data point in the historical wind data can be projected to the direction where the wind turbine captures the maximum wind energy, where e _i is the ith wind speed unit vector, (x ₁ , y ₁ ) is its rectangular coordinate; e _max is The unit vector of the maximum wind energy direction, (x ₂ , y ₂ ) is its rectangular coordinate; is its projection distance.

due to the wind energy formula

Among them, the air density ρ and the swept area s are basically equal to the same wind turbine, so the present invention mainly considers Effect on maximum wind power. Among them, ρ is the air density, s is the swept area of the impeller, v _i is the i-th wind speed, t is the time, and W is the wind energy.

According to the wind energy formula

Calculate the wind energy value E _max of the i-th wind speed unit vector in the direction where the wind turbine captures the maximum wind energy, where v _i is the i-th wind speed, and E _max is the maximum wind energy that can be captured in the direction of the maximum wind energy value value.

The maximum wind energy value that can be captured in the direction of the maximum wind energy corresponding to the historical wind condition data can be obtained through the above formula. Further, the maximum wind energy value that can be captured in the maximum wind energy direction corresponding to the wind condition data acquired in real time can be obtained through the above method.

According to the formula

θ _Δt = θ _{t+1 -} θ _t …………………………………………….(4)

Calculate the angle value θ _Δt between the target geometric center point and the direction of the maximum wind energy value between the geometric center point, where θ _t is the direction of the maximum wind energy value corresponding to the historical wind condition data, θ _t+1 is The direction of the maximum wind energy value corresponding to the wind condition data acquired in real time, θ _Δt is the angle value between the directions of the maximum wind energy value of the two.

In step S270, a correlation coefficient is calculated based on the coordinates of the geometric center point and the target geometric center point.

Specifically, according to the formula

Calculate the correlation coefficient ρ _Δt between the target geometric center point and the geometric center point, where x is the wind speed in the historical wind data, _xi is the value of the wind speed in the historical wind data, is the mean value of the numerical value of the wind speed in the historical wind data; y is the wind speed in the wind data obtained in real time, and _yi is the numerical value of the wind speed of the wind data obtained in real time, is the mean value of the wind speed value of the wind condition data acquired in real time; Cov(x,y) is the covariance of x and y, is the variance of x, is the variance of y.

It should be noted that, in this embodiment, steps S260 and S270 are executed sequentially. In practical applications, steps S260 and S270 can be executed in any order, that is, S270 is executed first, and then S260 is executed, or S260 and S270 can be executed simultaneously. , which is not limited in this embodiment.

In step S280, a corresponding wind generator control strategy is executed based on the included angle value and the correlation coefficient.

Specifically, the angle value θ _Δt and the correlation coefficient ρ _Δt can be input into the main control system of the wind turbine or the yaw control system, and the value of the angle θ _Δt and the correlation The coefficient _ρΔt is reasonably added to the yaw control system.

In practical applications, there are many ways to control the wind energy capture of wind turbines. The following provides a feasible processing method, which may specifically include: for the value of the included angle θ _Δt and the correlation coefficient ρ _Δt , it can be preset Conditions |θ _Δt |≤3° and |ρ _Δt |≥0.8. When controlling the wind energy capture of the wind turbine, according to the received angle value θ _Δt and the correlation coefficient ρ _Δt , it can be judged whether the two meet the above conditions. control system or yaw control system, so that the wind turbine can capture the maximum wind energy, and if it is satisfied, the wind turbine will not be triggered to perform any processing.

It should be noted that when the wind turbine is working, the radar on the wind turbine can use the data it acquires in real time as the variable, according to the Euclidean distance formula

Calculate the wind speed collected per second separately The spatial distance l between the geometric center points corresponding to the historical wind condition data of multiple predetermined periods, where v _ix and v _iy are the numerical conversion of the i-th wind speed of the n real-time acquired wind condition data within the time node to the coordinate value in the rectangular coordinate system, k _jx and k _jy are the coordinate values converted from the jth geometric center point in the geometric center point corresponding to the historical wind data to the rectangular coordinate system, and l is the wind speed collected for each The distance between the real-time data v _i and the geometric center point k _j corresponding to the historical wind condition data of k predetermined periods.

Through the spatial distance l, it can be considered that the closer the distance between two objects, the greater the similarity between them, therefore, l can take the minimum value. Therefore, the change characteristics of the current wind speed and wind direction can be reflected in real time through the similarity between the collected data points and the geometric center point corresponding to the historical wind condition data.

The wind energy capture method of the wind power generating set provided by the embodiment of the present invention, on the one hand, analyzes the wind condition data such as wind speed and wind direction collected by the wind condition data acquisition unit in the previous predetermined period, and passes the obtained data through polar coordinates Draw a scatter diagram by means of wind condition data, remove outliers after preprocessing the wind condition data, and fit the target geometric center point, and then compare the geometric center point corresponding to the wind condition data obtained in real time with the target geometric center point, Execute the corresponding wind turbine control strategy, so as to reduce the fan load increase and wake effect caused by the impeller not facing the windward side, and reduce the failure and maintenance costs of the wind turbine; on the other hand, by comparing the target geometric center point with the real-time The angle deviation and correlation coefficient in the direction of the maximum wind energy value between the geometric center point corresponding to the input collected data or the wind condition data obtained in real time, and the corresponding data are input to the main control system and the wind power generating set. In the yaw control system, to optimize the yaw control strategy, so as to effectively improve the wind power generation unit's ability to capture wind energy and the reliability of the wind power generation unit.

Embodiment three

Based on the same technical idea, Fig. 6 is a logical block diagram showing a wind energy capture device for a wind power generating set according to Embodiment 3 of the present invention. Referring to FIG. 6 , the device includes a wind condition data acquisition module 610 , a geometric center point determination module 620 and a control module 630 .

The wind condition data acquisition module 610 is used for acquiring wind condition data in real time according to a predetermined period.

The geometric center point determining module 620 is used for performing scatter fitting on the wind condition data obtained within the predetermined period to obtain the geometric center point of the wind condition data, and the geometric center point is used to indicate the location of the maximum wind energy value.

The control module 630 is used to compare the geometric center point with the target geometric center point, and execute a corresponding wind turbine control strategy according to the comparison result.

Further, based on the embodiment of FIG. 6, the device shown in FIG. 7 also includes:

A historical wind condition acquisition module 640, configured to acquire pre-stored historical wind condition data;

The target geometric center point determination module 650 is configured to perform scatter fitting on the historical wind condition data to obtain the target geometric center point.

Further, the device shown in Figure 7 also includes:

The preprocessing module 660 is configured to preprocess the historical wind condition data, remove disturbing wind condition data, and obtain valid historical wind condition data.

In addition, the target geometric center point determination module 650 is used to import the historical wind data into the polar coordinate system; connect the outermost data points of the historical wind data to obtain a closed geometric figure, and the geometric center of the geometric figure point as the geometric center of the target.

In addition, the control module 630 is used to: calculate the value of the included angle between the line from the pole of the polar coordinate system to the geometric center point and the line to the target geometric center point; Correlation coefficient; execute the corresponding wind generator control strategy based on the included angle value and the correlation coefficient.

The wind energy capture device of the wind power generating set provided by the embodiment of the present invention obtains the geometric center point of the wind condition data through the wind condition data acquired in real time within a predetermined period, and performs scatter fitting on the wind condition data, and then obtains the geometric center point of the wind condition data by Compared with the target geometric center point to control the wind energy capture of the wind turbine, so as to effectively improve the wind energy capture ability of the wind turbine and the reliability of the wind turbine, and at the same time reduce the impeller not facing the windward side The resulting wind turbine load increase and wake effect reduce the failure and maintenance costs of wind turbines.

Further, in the embodiment of the present invention, on the one hand, the wind condition data such as wind speed and wind direction collected by the wind condition data acquisition component in the previous predetermined period are analyzed, and the obtained data is drawn in a scatter diagram in the form of polar coordinates , after preprocessing the wind condition data, outliers are eliminated, and the target geometric center point is fitted, and then the corresponding wind power generation is carried out by comparing the geometric center point corresponding to the wind condition data obtained in real time with the target geometric center point. The unit control strategy can reduce the wind turbine load increase and wake effect caused by the impeller not facing the windward side, and reduce the failure and maintenance costs of wind turbines; on the other hand, by comparing the target geometric center point with the real-time input data or The angle value and correlation coefficient in the direction of the maximum wind energy value between the geometric center points corresponding to the wind condition data obtained in real time, and the corresponding data are input to the main control system and yaw control system of the wind turbine In order to optimize the yaw control strategy, so as to effectively improve the ability of the wind turbine to capture wind energy and the reliability of the wind turbine.

Embodiment Four

Based on the same technical concept, Embodiment 4 of the present invention provides a wind power generating set. The wind power generating set may include the wind energy capture device of the wind generating set provided in Embodiment 3 above.

The wind power generating set provided by the embodiment of the present invention obtains the geometric center point of the wind condition data through the wind condition data acquired in real time within a predetermined period, and performs scatter fitting on the wind condition data, and then obtains the geometric center point of the wind condition data, and then combines the target geometric center The point comparison is used to control the wind energy capture of the wind turbine, so as to effectively improve the wind energy capture ability of the wind turbine and the reliability of the wind turbine, and at the same time reduce the wind turbine caused by the impeller not facing the windward side. Load increase and wake effect, reduce wind turbine failure and maintenance costs.

Further, in the embodiment of the present invention, on the one hand, the wind condition data such as wind speed and wind direction collected by the wind condition data acquisition component in the previous predetermined period are analyzed, and the obtained data is drawn in a scatter diagram in the form of polar coordinates , after preprocessing the wind condition data, outliers are eliminated, and the target geometric center point is fitted, and then the corresponding wind power generation is carried out by comparing the geometric center point corresponding to the wind condition data obtained in real time with the target geometric center point. The unit control strategy can reduce the wind turbine load increase and wake effect caused by the impeller not facing the windward side, and reduce the failure and maintenance costs of wind turbines; on the other hand, by comparing the target geometric center point with the real-time input data or The angle value and correlation coefficient in the direction of the maximum wind energy value between the geometric center points corresponding to the wind condition data obtained in real time, and the corresponding data are input to the main control system and yaw control system of the wind turbine In order to optimize the yaw control strategy, so as to effectively improve the ability of the wind turbine to capture wind energy and the reliability of the wind turbine.

It should be pointed out that according to the needs of implementation, each step/component described in this application can be split into more steps/components, and two or more steps/components or part of the operations of steps/components can also be combined into a new Step/component, to realize the object of the present invention.

The above-mentioned method according to the present invention can be implemented in hardware, firmware, or as software or computer code that can be stored in a recording medium (such as CD ROM, RAM, floppy disk, hard disk or magneto-optical disk), or can be downloaded through the network computer code originally stored on a remote recording medium or a non-transitory machine-readable medium and will be stored on a local recording medium, so that the methods described herein can be stored on a computer code using a general-purpose computer, a special-purpose processor, or a programmable or dedicated Such software processing on a recording medium of hardware such as ASIC or FPGA. It will be appreciated that a computer, processor, microprocessor controller, or programmable hardware includes memory components (e.g., RAM, ROM, flash memory, etc.) that can store or receive software or computer code that, when When accessed and executed by a processor or hardware, the processing methods described herein are implemented. Furthermore, when a general-purpose computer accesses the code for implementing the processing shown here, the execution of the code converts the general-purpose computer into a special-purpose computer for executing the processing shown here.

The above is only a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Anyone skilled in the art can easily think of changes or substitutions within the technical scope disclosed in the present invention. Should be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be determined by the protection scope of the claims.

Claims (9)

1. A method for capturing wind energy of a wind power generating set, characterized in that the method comprises: Obtain wind data in real time according to a predetermined period; Scatter fitting is performed on the wind condition data acquired within the predetermined period to obtain the geometric center point of the wind condition data, and the geometric center point is used to indicate the position of the maximum wind energy value, wherein the scatter point fitting is for The data points of the discrete wind data are fitted so that multiple data points of the discrete wind data are combined into a geometric figure; comparing the geometric center point with a target geometric center point, and executing a corresponding wind turbine control strategy according to the comparison result, the target geometric center point being a predetermined geometric center point; Wherein, the method also includes: Obtain pre-stored historical wind data; Scatter fitting is performed on the historical wind condition data to obtain the target geometric center point. 2. The method according to claim 1, characterized in that the method further comprises: The historical wind condition data is preprocessed to remove the interfering wind condition data to obtain effective historical wind condition data. 3. The method according to claim 1, wherein the step of performing scatter fitting on the historical wind data to obtain the target geometric center specifically includes: Importing the historical wind data into the polar coordinate system; Connect the outermost data points of the historical wind condition data to obtain a closed geometric figure, and use the geometric center point of the geometric figure as the target geometric center point. 4. The method according to claim 3, wherein the comparing the geometric center point with the target geometric center point, and executing a corresponding wind turbine control strategy according to the comparison result specifically includes: Calculate the included angle value between the line from the pole of the polar coordinate system to the geometric center point and the line to the target geometric center point; calculating a correlation coefficient based on the coordinates of the geometric center point and the target geometric center point; A corresponding wind generator control strategy is executed based on the included angle value and the correlation coefficient. 5. A wind energy capture device for a wind power generating set, characterized in that the device comprises: A wind condition data acquisition module is used to acquire wind condition data in real time according to a predetermined period; A geometric center point determination module, configured to perform scatter-fitting on the wind condition data acquired within the predetermined period to obtain a geometric center point of the wind condition data, the geometric center point being used to indicate the location of the maximum wind energy value, Wherein, the scatter fitting is to fit the data points of the discrete wind condition data, so that the data points of multiple discrete wind condition data are combined into a geometric figure; A control module, configured to compare the geometric center point with a target geometric center point, and execute a corresponding wind turbine control strategy according to the comparison result, the target geometric center point being a predetermined geometric center point; Wherein, the device also includes: The historical wind condition acquisition module is used to acquire pre-stored historical wind condition data; The target geometric center point determining module is used to perform scatter fitting on the historical wind condition data to obtain the target geometric center point. 6. The device according to claim 5, further comprising: The preprocessing module is used to preprocess the historical wind condition data, remove disturbing wind condition data, and obtain effective historical wind condition data. 7. The device according to claim 5, wherein the target geometric center point determining module is used for: Importing the historical wind condition data into the polar coordinate system; connecting the outermost data points of the historical wind condition data to obtain a closed geometric figure, and using the geometric center point of the geometric figure as the target geometric center point. 8. The device according to claim 7, wherein the control module is used to: calculate the angle between the line from the pole of the polar coordinate system to the geometric center point and the line to the target geometric center point numerical value; calculate the correlation coefficient based on the coordinates of the geometric center point and the target geometric center point; execute a corresponding wind generator control strategy based on the angle value and the correlation coefficient. 9. A wind generating set, characterized in that the wind generating set comprises the wind energy capture device of the wind generating set according to any one of claims 5-8.