CN105335617B

CN105335617B - Method and device for evaluating wake effect of wind power plant

Info

Publication number: CN105335617B
Application number: CN201510747169.8A
Authority: CN
Inventors: 张鹏飞; 李健; 杨娟霞
Original assignee: Beijing Goldwind Science and Creation Windpower Equipment Co Ltd
Current assignee: Beijing Goldwind Science and Creation Windpower Equipment Co Ltd
Priority date: 2015-11-05
Filing date: 2015-11-05
Publication date: 2017-12-15
Anticipated expiration: 2035-11-05
Also published as: CN105335617A

Abstract

The invention relates to a method and a device for evaluating a wake effect of a wind power plant, wherein the method comprises the following steps: establishing a wind speed model of a single-machine wake effect for each wind turbine in a wind power plant; determining the wind speed loss of wind with different wind speeds at different distances from the wind generation set along the wind direction propagation direction after the wind with different wind speeds blows through the single wind generation set through the wind speed model; determining the influence range of the single-machine wake effect of each wind turbine generator at the corresponding wind speed according to the corresponding wind speed loss of each wind turbine generator at different wind speeds and the diameter of an impeller of each wind turbine generator; and superposing the wind speed loss of each wind turbine generator in the wind power plant under different wind speeds corresponding to the respective influence ranges, and evaluating the influence condition of the wake effect in different areas in the wind power plant. The embodiment of the invention can quickly and accurately carry out simulation evaluation on the wake effect of the wind power plant.

Description

Method and device for evaluating wake effect of wind power plant

Technical Field

The invention relates to the technical field of wind power, in particular to a method and a device for evaluating a wake effect of a wind power plant.

Background

With the large-scale development and application of wind energy, the scale of wind power plants is continuously increased, the wind power plants with dozens of or even hundreds of fans are common, and the floor area of the wind power plants is restricted due to the limitation of sites or natural environments. Therefore, the wake effect is more and more obvious in the operation of the wind power plant and mainly shows that the full-field power generation amount is reduced and the fault rate of the wind power plant is increased. In this regard, wake control for wind farms has become the current research focus, and a key prerequisite for implementing wake control is to evaluate the magnitude of the wake effect of wind farms.

For the simulation of wake effects, two categories can be currently distinguished: the method comprises an analytic method and a computational fluid mechanics method, wherein the analytic method is more accurate in simulating wake flow of a single unit, but poor in effect when simulating the wake flow effect of the wind power plant; the computational fluid dynamics simulation result is relatively accurate, but a large amount of computational resources are needed, and the time consumption is long.

Disclosure of Invention

The method and the device for evaluating the wake effect of the wind power plant provided by the embodiment of the invention are used for quickly and accurately carrying out simulation evaluation on the wake effect of the wind power plant.

In order to achieve the above object, an embodiment of the present invention provides a wind farm wake effect evaluation method, including: establishing a wind speed model of a single-machine wake effect for each wind turbine in a wind power plant; determining the wind speed loss of wind with different wind speeds at different distances from the wind generation set along the wind direction propagation direction after the wind with different wind speeds blows through the single wind generation set through the wind speed model; determining the influence range of the single-machine wake effect of each wind turbine generator at the corresponding wind speed according to the corresponding wind speed loss of each wind turbine generator at different wind speeds and the diameter of an impeller of each wind turbine generator; and superposing the wind speed loss of each wind turbine generator in the wind power plant under different wind speeds corresponding to the respective influence ranges, and evaluating the influence condition of the wake effect in different areas in the wind power plant.

The embodiment of the invention also provides a wind power plant wake effect evaluation device, which comprises: the wind speed model establishing module is used for establishing a wind speed model of a single-machine wake effect for each wind turbine in the wind power plant; the wind speed loss determining module is used for determining the wind speed loss of wind with different wind speeds at different distances from the wind generation set along the wind direction propagation direction after the wind with different wind speeds blows through the single wind generation set; the influence range determining module is used for determining the influence range of the single-machine wake effect of each wind turbine generator set at the corresponding wind speed according to the corresponding wind speed loss of each wind turbine generator set at different wind speeds and the diameter of an impeller of each wind turbine generator set; and the wake effect evaluation module is used for superposing the wind speed loss of each wind turbine generator in the wind power plant under different wind speeds corresponding to the respective influence ranges, and evaluating the influence conditions of the wake effect in different areas in the wind power plant.

According to the method and the device for evaluating the wake effect of the wind power plant, provided by the embodiment of the invention, the wake effect of the whole field is evaluated in a superposition mode on the basis of analyzing the wake effect generated by a single wind turbine generator, so that the wake effect of the wind power plant is evaluated more accurately, effectively and quickly. The method is suitable for evaluating the wake effect of the built wind power plant and is also suitable for evaluating the wake effect during micro site selection in the early stage of wind power plant construction.

Drawings

FIG. 1 is a flowchart of an embodiment of a wind farm wake effect evaluation method provided by the present invention;

FIG. 2 is a flowchart of another embodiment of a wind farm wake effect evaluation method provided by the present invention;

FIG. 3 is a thrust coefficient graph of a wind turbine generator set at different wind speeds in the prior art;

FIG. 4 is a graph of wind speed loss results at different wind speeds and different distances from the wind turbine generator set according to the present invention;

FIG. 5 is a diffusion distance curve diagram of wake effect of the wind turbine generator at each wind speed section according to the present invention;

FIG. 6 is a schematic view of an angle of influence range of a wake effect of a wind turbine provided by the present invention;

FIG. 7 is a schematic diagram of a wind farm wake effect region superposition provided by the present invention;

FIG. 8 is a schematic diagram of wake occlusion area of an upstream wind turbine at a downstream wind turbine provided by the present invention;

FIG. 9 is a schematic structural diagram of an embodiment of a wind farm wake effect evaluation device provided by the present invention;

fig. 10 is a schematic structural diagram of another embodiment of the wind farm wake effect evaluation device provided by the present invention.

Description of reference numerals:

x_wake，maxall influence distances x of the wind energy plant at the same wind speed_wakeMaximum value of α -influence angle of wake effect after wind passes through wind turbine generator, r_x，max-an influence distance x_wake,maxThe radius of influence of (d); d-diameter of the impeller of the wind turbine generator; a. the_{shad_in}-wake occlusion area of nth upstream wind turbine at wind turbine i; a. the_{rot_i}-the blade sweep area of the wind turbine i; a. the_wake-the wind turbine at an influence distance x_wakeThe area of the corresponding influence circle; r is_x-the wind turbine at an influence distance x_wakeThe radius of influence of (d); r-radius of impeller of wind turbine.

Detailed Description

The wind speed loss of the wind turbine generator set under different wind speeds due to the wake effect is obtained by establishing a wind speed model of the single-machine wake effect for each wind turbine generator set in the wind power plant, and the influence range of the corresponding single-machine wake effect is determined. And then, according to the wind speed loss of each wind turbine generator, overlapping the wake effect according to the influence range corresponding to the wind speed loss of each wind turbine generator, so that the influence condition of the wake effect in the wind power plant, especially the position of each wind turbine generator, is finally obtained.

The following describes a wind farm wake effect evaluation method and device according to an embodiment of the invention in detail with reference to the accompanying drawings.

Example one

Fig. 1 is a flowchart of an embodiment of a wind farm wake effect evaluation method provided by the present invention, and the method includes the following steps:

s110, establishing a wind speed model of the single-machine wake effect for each wind turbine in the wind power plant.

Generally, the wind speed of a wind turbine located in a downwind direction is lower than that of a wind turbine located in an upwind direction, the closer the wind turbines are, the greater the influence of the wind speed of the wind turbine located in the front on the wind turbine located in the back is, and the field is called wake effect. According to the scheme, based on the principle of wake effect, a wind speed model of single-machine wake effect is established for each wind turbine in the wind power plant, and the wind speed model is used for describing the change condition of the wind speed in the wind speed propagation direction by taking the wind turbine as a starting point after free wind blows over the single wind turbine.

When the wind speed model is established, natural environment factors of a wind power plant such as environment turbulence intensity, geographical positions of wind generation sets, altitude and the like can be referred; and technical parameters of the wind turbine generator, such as the diameter of an impeller of the wind turbine generator, the height of a hub, the thrust coefficient of the wind turbine generator in each wind speed section and the like. In this embodiment, the specific form of the wind speed model is not limited.

And S120, determining the wind speed loss at different distances from the wind generation set along the wind direction propagation direction after the wind with different wind speeds blows through the single wind generation set through the wind speed model.

After the free wind with different wind speeds blows each single wind turbine generator, the wind speed model can further learn the reduction of the wind speeds at different positions away from the wind turbine generator along the wind speed propagation direction relative to the initial free wind speed by taking the corresponding wind turbine generator as a starting point along the change condition of the wind speed in the wind speed propagation direction, and the reduction is determined as the wind speed loss.

And S130, determining the influence range of the single-machine wake effect of each wind turbine generator at the corresponding wind speed according to the corresponding wind speed loss of each wind turbine generator at different wind speeds and the diameter of an impeller of each wind turbine generator.

Generally, the influence range of the wake effect of the wind turbine generator is closely related to the size of the wind speed and the diameter of the wind turbine generator impeller. When the diameter of the impeller is constant, along with the increase of free wind speed, the influence distance of the wake effect is gradually reduced, and the wind speed loss at the same distance position from the wind turbine generator along the wind propagation direction is gradually increased. Meanwhile, when the free wind speed is constant, in the influence distance range of the wake effect, along with the increase of the diameter of the impeller or the farther distance from the wind turbine generator along the wind propagation direction, the influence area of the wake effect on each plane vertical to the wind direction is widened, and the widening amplitude is larger as the wind speed is larger.

Therefore, based on the relationship between the wake effect of the wind turbine generator and the wind speed and the diameter of the impeller of the wind turbine generator, the influence range of the single-machine wake effect of each wind turbine generator at the corresponding wind speed can be determined through mathematical calculation and the like. Within the influence range, the closer the wind turbine generator is, the greater the wind speed loss is.

And S140, overlapping the wind speed losses of the wind generation sets in the wind power plant under different wind speeds corresponding to respective influence ranges, and evaluating the influence conditions of the wake effect in different areas in the wind power plant.

After the wind speed losses and the influence ranges corresponding to the single-machine wake effect of each wind turbine generator at different wind speeds in the wind power plant are obtained, the wind speed losses can be superposed according to the corresponding influence ranges, and the superposed wake effect influence conditions of each position area, such as the wind speed loss, can be evaluated.

According to the method for evaluating the wake effect of the wind power plant, provided by the embodiment of the invention, the wake effect of the whole plant is evaluated in a superposition mode on the basis of analyzing the wake effect generated by a single wind turbine generator, so that the wake effect of the wind power plant is evaluated more accurately, effectively and quickly.

Example two

Fig. 2 is a flowchart of another embodiment of a wind farm wake effect evaluation method provided by the present invention, and this embodiment can be regarded as a specific implementation manner of the embodiment shown in fig. 1. As shown in fig. 2, the wind farm wake effect evaluation method includes the following steps:

s210, establishing a wind speed model of the single-machine wake effect for each wind turbine in the wind power plant. S210 is similar to S110 described above.

Specifically, this embodiment provides a mathematical expression model of a wind speed model, which is as follows:

wherein,

p＝k₂(I_a+I_w)……………………………………………………...….(3)

v₀is the free incoming flow wind speed; d is the diameter of an impeller of the wind turbine generator; v. of_w(x) The wind speed is v₀The wind passes through an impeller of the wind turbine and then has a wind speed of x from the wind turbine along the wind direction propagation direction; c_tIs v is₀The thrust coefficient of the wind turbine generator set under the wind speed section; b (x) is an intermediate parameter; p is the resultant turbulence intensity; i is_aIs the ambient turbulence intensity; i is_wTurbulence intensity generated by disturbance of the blades of the unit; k is a radical of₁、k₂、k₃Is a constant greater than 0.

Specifically, fig. 3 is a thrust coefficient graph of a wind turbine generator set in the prior art at different wind speeds. As shown in fig. 3, the thrust coefficient decreases as the wind speed increases at the hub height. Intensity of ambient turbulence I_aThe wind power station wind speed estimation method can be calculated by the average wind speed of 10 minutes measured by at least one wind measuring tower in the wind power station and the standard deviation thereof, reflects the degree of deviation from the mean value of the instantaneous wind speed which is not influenced by a wind generating set or barrier wake flow, and is an index for evaluating the stability degree of the environmental airflow. In the wind speed model, arrangement coordinates (x, y, z) of each wind turbine are also established, where the coordinates x and y are Projection coordinates under Universal transport Mercator Projection (UTM), and z is an altitude of a base plane of the wind turbine (a sum of a height of the base plane and a height of a tower). Constant k₁、k₂、k₃Specifically, the ratio may be 0.27, 6.0 and 0.004 in this order.

S220, according to

Δv_x＝v₀-v_w(x)........................................(5)

Determining the wind speed as v₀After the wind blows over a single wind turbine generator, the wind speed loss at the position which is at the distance x from the wind turbine generator along the wind direction propagation direction is delta v_xWherein v is_w(x) The wind speed is v₀The wind passes through the impeller of the wind turbine and then has a wind speed of x from the wind turbine along the wind direction propagation direction.S220 may be regarded as the refinement of S120 described above.

For the purpose of illustration, the environmental turbulence intensity I is used in the present embodiment_aTaking the wind turbine generator with the diameter d of the impeller of the wind turbine generator being 0.1 and the diameter d of the impeller of the wind turbine generator being 82m, and the thrust coefficient curve being as shown in fig. 3 as an example, a wind speed model of the single-machine wake effect of the wind turbine generator is established, and the wind speed loss results of different distance ranges (unit distance d) from the wind turbine generator along the wind direction propagation direction under different incoming wind speeds are obtained and are shown in fig. 4.

At S220, after determining the wind speed loss of each wind turbine along the wind direction, the above S130 may be continuously executed, and the influence range of the single-machine wake effect of each wind turbine at the corresponding wind speed is determined according to the corresponding wind speed loss of each wind turbine at different wind speeds and the diameter of the impeller of the wind turbine. Specifically, the present embodiment gives the refinement step of S130 based on the above steps, including the following (S230 to S250).

S230, determining the distance from the position corresponding to the wind speed loss which is greater than or equal to the preset value in the corresponding wind speed losses of the wind generation set at different wind speeds to the wind generation set along the wind direction propagation direction as the influence distance x of the wake effect at the corresponding wind speed_wake。

As can be seen from fig. 4, the wind speed loss is significantly reduced as the wind speed increases and/or the distance from the wind turbine increases. When the wind speed loss is reduced to be below a preset value (such as 0.01m/s), the wind speed is considered to have no obvious change, the corresponding position area is not influenced by the wake effect of the wind turbine generator, and meanwhile, the distance between the position area with the wind speed loss being larger than or equal to the preset value and the wind turbine generator in the direction along the wind direction is determined as the influence distance x of the wake effect at the corresponding wind speed_wake. Each influence distance x_wakeCorresponding to the distance x from the wind turbine generator along the wind propagation direction_wakeThe location area of (c). As shown in FIG. 5, the diffusion distance of the wake effect of the wind turbine generator at each wind speed section, i.e. the maximum influence distance x, is shown_wake(unit distance is d), in fig. 5, the maximum influence distance of the wake effect is decreasing as the wind speed increases.

S240, according to

Determining corresponding influence angles α of the wind turbine generator under different wind speeds, wherein x_wake，maxThe influence distance x corresponding to the wind turbine set at the same wind speed_wakeMaximum value of (2).

On the basis of this, the influence distance x can be defined according to the formula (7)_wakeRadius of influence of wake effect circular plane perpendicular to wind propagation direction

Specific meanings of the above parameters will be described with reference to fig. 6 as an example. The wind direction of the free wind blowing through the wind turbine is assumed to be always perpendicular to the wind turbine impeller, namely the wind turbine impeller is opposite to the windward side. The influence distance x corresponding to the wind turbine set at the same wind speed_wakeThe maximum value in (1) is x_wake，maxAccording to the formula (6), the angle α is defined as the distance from the center of the impeller plane and the end point a of the diameter d of the impeller to the wind turbine generator x_wake，maxPerpendicular to x_wake，maxThe plane S of the line is intersected with the points b and c as the perpendicular line, and the influence angle α is the included angle between the line segments ac and ad, wherein the point d is a point on a circle which takes the point b as the center of the circle on the plane S, the point bc passes through a straight line, and the radius r of the circle which takes the point b as the center of the circle_x，maxThat is, the distance obtained by the formula (7) is x_wake,maxThe radius of influence of (c). As shown in fig. 6, each x_wakeThe positions of the two points all correspond to a wake effect circular plane, and the centers of the circular planes are all located on a connecting line of the center of the impeller plane and the point b.

S250, the radius of the impeller of the wind turbine generator is usedIs the radius of the upper base, x_wake，maxIn the case of a high level of the signal,the space surrounded by the circular truncated cone formed by the radius of the lower bottom surface is determined as the influence range of the single-machine wake effect of the wind turbine generator set at the corresponding wind speed.

As shown in fig. 6, the influence range of the click wake effect is as follows: the plane circle of the wind turbine generator impeller is an upper bottom surface, and S is a space area surrounded by a circular table with a lower bottom surface and a height of ac length.

And S140 can be continuously executed after S250, namely the wind speed loss of each wind turbine in the wind power plant under different wind speeds is superposed corresponding to respective influence ranges, and the influence conditions of the wake effect in different areas in the wind power plant are evaluated. In a wind farm, the assessment of the wake effect situation at each wind turbine is particularly important for the operation of the whole wind farm. Based on this, the following description of the present embodiment will describe the wake effect situation at each wind turbine, and particularly the wind speed loss situation of the wind turbine upstream of the wind turbine due to the wake effect.

On the basis of the above contents, the wind speed loss of the wind turbine generator at the upstream of the wind turbine generator can be superposed according to the influence range of the wake effect of the wind turbine generator at the upstream of the wind turbine generator, so that the wind speed loss of the area where the wind turbine generator is located can be evaluated.

Referring to a schematic superposition diagram of wake effect areas of a wind power plant shown in FIG. 7. In a large-scale wind farm, which includes dozens or even hundreds of wind turbines, the downstream wind turbine may be affected by the wake effect of the upstream wind turbines, and as shown in fig. 7, the following four situations can be summarized:

(1) the downstream wind turbine is not influenced by the wake flow of the upstream wind turbine, such as between the wind turbine A and the wind turbine B;

(2) the downstream wind turbine is completely shielded by the wake flow of the upstream wind turbine, such as between the wind turbine D and the wind turbine E;

(3) the downstream wind turbine is shielded by the wake effect of the upstream wind turbine, such as between wind turbines B and D;

(4) the downstream wind turbine is partially or completely shielded by the wake flow of the upstream wind turbines, such as between the wind turbine B, C and the wind turbine D.

More generally, assuming that the wind turbine i is commonly influenced by the wake effect of the N wind turbines at the upstream, the wind speed loss at the wind turbine i due to the wake effect can be evaluated by performing S260.

S260, according to

Determining the average wind speed loss delta v of the wind turbine generator i in the position influenced by N wind turbine generators upstream of the wind turbine generator i_{w_i}(ii) a Wherein v is_oThe average input wind speed of N wind generation sets at the upstream is obtained; Δ v_{w_in}For the wind speed loss, v, of the nth upstream wind turbine at wind turbine i_{0_n}The input wind speed of the nth upstream wind turbine generator set; and omega (i, n) is the wake influence coefficient of the nth upstream wind turbine at the wind turbine i. The input wind speed is the wind speed passing through the wind turbine generator, and the wind speed loss of the upstream wind turbine generator at the wind turbine generator i is the wind speed loss of the input wind speed of the upstream wind turbine generator at the wind turbine generator i.

Specifically, the wake influence coefficient of the nth upstream wind turbine at the wind turbine i may be determined according to a space proportion occupied by the influence range of the single-machine wake effect corresponding to the upstream wind turbine at the wind turbine i, that is, the larger the space occupied by the influence range at the wind turbine i is, the larger the wake influence coefficient corresponding to the upstream wind turbine at the wind turbine i is. In this embodiment, the wake influence coefficient of each upstream wind turbine at the wind turbine i may be obtained by formula (9).

Wherein A is_{shad_in}The wake shielding area of the nth upstream wind turbine generator at the wind turbine generator i is determined; a. the_{rot_i}The wind sweeping area of the impeller of the wind turbine generator i is shown.

As shown in FIG. 8, assume that the wake effect circle area of the nth upstream wind turbine at wind turbine i is A_wakeThe impeller area of the wind turbine generator is A_{rot_i}Corresponding to A_wakeRelative to A_{rot_i}Has a wake shielding area of A_{shad_in}(ii) a Wherein r is_xX corresponding to the nth upstream wind turbine at wind turbine i_wakeAnd (3) the radius of the corresponding wake effect circular plane, and r is the circular area of the impeller plane of the wind turbine generator i. In this embodiment, it is assumed that the impellers of all wind turbines in the wind farm are opposite to the windward side and the windward angle is the same, so that the two plane circular areas a in fig. 8_wakeAnd A_{rot_i}Are located in the same plane.

Specifically solving wake shielding area A of upstream wind turbine generator at wind turbine generator i_{shad_in}In this embodiment, the method is not limited to the above-mentioned embodiments.

The wind power plant wake effect evaluation method provided by the embodiment of the invention respectively refines and explains the influence range of the single-machine wake effect and the solving method of the wind speed loss on the basis of the embodiment shown in FIG. 1, and further utilizes the wake shielding area A of the upstream wind turbine generator at the downstream wind turbine generator_{shad_in}And the wake effect, such as wind speed loss, of the upstream wind turbine generator in the downstream wind turbine generator is superposed and evaluated according to the proportion of the area of the plane circle of the impeller of the downstream wind turbine generator.

EXAMPLE III

Fig. 9 is a schematic structural diagram of an embodiment of a wind farm wake effect evaluation device provided by the present invention, where the structure includes:

a wind speed model establishing module 910, configured to establish a wind speed model of a single-machine wake effect for each wind turbine in a wind farm; the wind speed loss determining module 920 is configured to determine, through the wind speed model, wind speed losses at different distances from the wind turbine generator in the wind direction propagation direction after wind with different wind speeds blows through the single wind turbine generator; the influence range determining module 930 is configured to determine an influence range of a single-machine wake effect of each wind turbine generator at a corresponding wind speed according to corresponding wind speed loss of each wind turbine generator at different wind speeds and an impeller diameter of each wind turbine generator; and the wake effect evaluation module 940 is configured to superimpose the wind speed loss of each wind turbine generator in the wind farm at different wind speeds corresponding to the respective influence ranges, and evaluate the influence of the wake effect in different areas in the wind farm.

On this basis, the wind speed model building module 910 is specifically configured to build a wind speed model of the single-machine wake effect as follows:

wherein,

p＝k₂(I_a+I_w)

v₀is the free incoming flow wind speed; d is the diameter of an impeller of the wind turbine generator; v. of_w(x) The wind speed is v₀The wind passes through an impeller of the wind turbine and then has a wind speed of x from the wind turbine along the wind direction propagation direction; c_tIs v is₀The thrust coefficient of the wind turbine generator set under the wind speed section; b (x) is an intermediate parameter; p is a synthetic turbulenceA flow intensity; i is_aIs the ambient turbulence intensity; i is_wTurbulence intensity generated by disturbance of the blades of the unit; k is a radical of₁、k₂、k₃Is a constant greater than 0.

Further, the wind speed loss determination module 920 is specifically configured to determine the wind speed loss according to

Δv_x＝v₀-v_w(x)

Determining the wind speed as v₀After the wind blows over a single wind turbine generator, the wind speed loss at the position which is at the distance x from the wind turbine generator along the wind direction propagation direction is delta v_x。

Further, as shown in fig. 10, on the basis of the embodiment shown in fig. 9, the influence range determining module 930 specifically includes:

an influence distance determining unit 931, configured to determine, as an influence distance x of a wake effect at a corresponding wind speed, a distance from a position, corresponding to a wind speed loss greater than or equal to a predetermined value among wind speed losses corresponding to the wind turbine generator at different wind speeds, to the wind turbine generator along a wind direction propagation direction_wake；

An influence angle determination unit 932 for determining the influence angle based on

Determining corresponding influence angles α of the wind turbine generator under different wind speeds, wherein x_wake，maxThe influence distance x corresponding to the wind turbine set at the same wind speed_wakeMaximum value of (1);

an influence range determining unit 933 for determining the radius of the wind turbine impellerIs the radius of the upper base, x_wake，maxIn the case of a high level of the signal,and determining the space surrounded by the circular truncated cone formed by the radius of the lower bottom surface as the influence range of the single-machine wake effect of the wind turbine generator at the corresponding wind speed.

In a modification, the wake effect evaluation module 940 is specifically configured to superimpose the wind speed loss of each wind turbine generator according to the respective influence range of the wind speed loss of the wind turbine generator located upstream of the wind turbine generator, and evaluate the wind speed loss of the area where each wind turbine generator is located.

On the basis, the wake effect evaluation module 940 is specifically configured to evaluate the wake effect according to

Determining the average wind speed loss Deltav of N wind turbines upstream of the wind turbine i_{w_i}(ii) a Wherein v is_oThe average input wind speed of N wind generation sets at the upstream is obtained; Δ v_{w_in}For the wind speed loss, v, of the nth upstream wind turbine at wind turbine i_{0_n}The input wind speed of the nth upstream wind turbine generator set; and omega (i, n) is the wake influence coefficient of the nth upstream wind turbine at the wind turbine i.

Further, as shown in fig. 10, the wind farm wake effect evaluation device may further include:

wake factor module 950 for

Determining a wake influence coefficient omega (i, n) of the nth upstream wind turbine at a wind turbine i; wherein A is_{shad_in}The wake shielding area of the nth upstream wind turbine generator at the wind turbine generator i is determined; a. the_{rot_i}The wind sweeping area of the impeller of the wind turbine generator i is shown.

The embodiment of the method shown in fig. 2 can be implemented by the wind farm wake effect evaluation device shown in fig. 10, and details of the principle of the specific steps are not described herein.

According to the wind power plant wake effect evaluation device provided by the embodiment of the invention, the wake effect of the whole field is evaluated in a superposition mode on the basis of analyzing the wake effect generated by a single wind turbine generator, so that the wind power plant wake effect is evaluated more accurately, effectively and quickly.

Further, in the embodiment shown in fig. 9, the solution also refines and explains the influence range of the single-machine wake effect and the solving method of the wind speed loss, and further, utilizes the wake shielding area a of the upstream wind turbine at the downstream wind turbine_{shad_in}And the wake effect, such as wind speed loss, of the upstream wind turbine generator in the downstream wind turbine generator is superposed and evaluated according to the proportion of the area of the plane circle of the impeller of the downstream wind turbine generator.

The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.

Claims

1. A wind power plant wake effect assessment method is characterized by comprising the following steps:

establishing a wind speed model of a single-machine wake effect for each wind turbine in a wind power plant;

determining the wind speed loss of wind with different wind speeds at different distances from the wind generation set along the wind direction propagation direction after the wind with different wind speeds blows through the single wind generation set through the wind speed model;

determining the influence range of the single-machine wake effect of each wind turbine generator at the corresponding wind speed according to the corresponding wind speed loss of each wind turbine generator at different wind speeds and the diameter of an impeller of each wind turbine generator;

superposing the wind speed loss of each wind turbine in the wind power plant under different wind speeds corresponding to the respective influence ranges, evaluating the influence conditions of the wake effect in different areas in the wind power plant,

the method for establishing the wind speed model of the single-machine wake effect for each wind turbine in the wind power plant comprises the following steps:

the wind speed model for establishing the single-machine wake effect is as follows:

wherein,

p＝k₂(I_a+I_w)

2. The method of claim 1, wherein the determining, through the wind speed model, the wind speed losses at different distances from the wind turbine generator unit in the propagation direction of the wind direction after the wind with different wind speeds blows through the single wind turbine generator unit comprises:

according to

△v_x＝v₀-v_w(x)

Determining the wind speed as v₀The wind speed loss of the wind-driven generator unit at the distance x from the wind-driven generator unit along the wind direction propagation direction after the wind blows over the single wind-driven generator unit is △ v_x。

3. The method according to any one of claims 1-2, wherein the determining the influence range of the single-machine wake effect of each wind turbine at the corresponding wind speed according to the wind speed loss corresponding to each wind turbine at the different wind speeds and the impeller diameter of each wind turbine comprises:

determining the distance from the position corresponding to the wind speed loss, which is greater than or equal to the preset value, in the wind speed losses corresponding to the wind turbine generator at different wind speeds to the wind turbine generator along the wind direction propagation direction as the influence distance x of the wake effect at the corresponding wind speed_wake；

According to

<mrow> <mi>&alpha;</mi> <mo>=</mo> <mn>0.65</mn> <mi>a</mi> <mi>r</mi> <mi>c</mi> <mi>t</mi> <mi>a</mi> <mi>n</mi> <mrow> <mo>(</mo> <mfrac> <mrow> <mn>2.5</mn> <mi>d</mi> </mrow> <msub> <mi>x</mi> <mrow> <mi>w</mi> <mi>a</mi> <mi>k</mi> <mi>e</mi> <mo>,</mo> <mi>m</mi> <mi>a</mi> <mi>x</mi> </mrow> </msub> </mfrac> <mo>+</mo> <mn>0.15</mn> <mo>)</mo> </mrow> <mo>+</mo> <mn>5</mn> </mrow>

will be based on the radius of the wind turbine impellerIs the radius of the upper base, x_wake，maxIn the case of a high level of the signal,and determining the space surrounded by the circular truncated cone formed by the radius of the lower bottom surface as the influence range of the single-machine wake effect of the wind turbine generator at the corresponding wind speed.

4. The method according to claim 3, wherein the wind speed losses of the wind turbines in the wind farm at different wind speeds are superposed corresponding to the respective influence ranges, and the evaluation of the influence of the wake effect in different areas in the wind farm comprises:

and superposing the wind speed loss of each wind turbine generator by the wind turbine generators upstream of the wind turbine generator according to the respective influence range, and evaluating the wind speed loss of the position area of each wind turbine generator.

5. The method of claim 4, wherein the wind speed losses of the wind turbines of the upstream wind turbine are superposed according to their respective influence ranges, and the estimating of the wind speed loss of the position of each wind turbine comprises:

according to

<mrow> <msub> <mi>&Delta;v</mi> <mrow> <mi>w</mi> <mo>_</mo> <mi>i</mi> </mrow> </msub> <mo>=</mo> <msub> <mi>v</mi> <mi>o</mi> </msub> <msqrt> <mrow> <munderover> <mo>&Sigma;</mo> <mrow> <mi>n</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>N</mi> </munderover> <mi>&Omega;</mi> <mrow> <mo>(</mo> <mi>i</mi> <mo>,</mo> <mi>n</mi> <mo>)</mo> </mrow> <msup> <mrow> <mo>(</mo> <mfrac> <mrow> <msub> <mi>&Delta;v</mi> <mrow> <mi>w</mi> <mo>_</mo> <mi>i</mi> <mi>n</mi> </mrow> </msub> </mrow> <msub> <mi>v</mi> <mrow> <mn>0</mn> <mo>_</mo> <mi>n</mi> </mrow> </msub> </mfrac> <mo>)</mo> </mrow> <mn>2</mn> </msup> </mrow> </msqrt> </mrow>

Determining △ v average wind speed loss of N wind turbines upstream of the wind turbine i_{w_i}(ii) a Wherein v is_oThe average input wind speed of the upstream N wind turbines △ v_{w_in}For the wind speed loss, v, of the nth upstream wind turbine at wind turbine i_{0_n}The input wind speed of the nth upstream wind turbine generator set; and omega (i, n) is the wake influence coefficient of the nth upstream wind turbine at the wind turbine i.

6. The method of claim 5, further comprising: according to

<mrow> <mi>&Omega;</mi> <mrow> <mo>(</mo> <mi>i</mi> <mo>,</mo> <mi>n</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <msub> <mi>A</mi> <mrow> <mi>s</mi> <mi>h</mi> <mi>a</mi> <mi>d</mi> <mo>_</mo> <mi>i</mi> <mi>n</mi> </mrow> </msub> <msub> <mi>A</mi> <mrow> <mi>r</mi> <mi>o</mi> <mi>t</mi> <mo>_</mo> <mi>i</mi> </mrow> </msub> </mfrac> </mrow>

7. A wind farm wake effect evaluation device, comprising:

the wind speed model establishing module is used for establishing a wind speed model of a single-machine wake effect for each wind turbine in the wind power plant;

the wind speed loss determining module is used for determining the wind speed loss of wind with different wind speeds at different distances from the wind generation set along the wind direction propagation direction after the wind with different wind speeds blows through the single wind generation set;

the influence range determining module is used for determining the influence range of the single-machine wake effect of each wind turbine generator set at the corresponding wind speed according to the corresponding wind speed loss of each wind turbine generator set at different wind speeds and the diameter of an impeller of each wind turbine generator set;

the wake effect evaluation module is used for superposing the wind speed loss of each wind turbine generator in the wind power plant under different wind speeds corresponding to the respective influence ranges thereof and evaluating the influence conditions of the wake effect in different areas in the wind power plant,

the wind speed model establishing module is specifically used for establishing a wind speed model of a single-machine wake effect, and comprises the following steps:

wherein,

p＝k₂(I_a+I_w)

8. The apparatus of claim 7, wherein the wind speed loss determination module is specifically configured to determine the wind speed loss based on

△v_x＝v₀-v_w(x)

9. The apparatus according to any one of claims 7-8, wherein the impact range determination module specifically comprises:

an influence distance determining unit, configured to determine, as an influence distance x of a wake effect at a corresponding wind speed, a distance from a position, corresponding to the wind speed loss, of the wind speed losses corresponding to the wind turbine generator at different wind speeds, where the position is greater than or equal to a predetermined value, to the wind turbine generator along a wind direction propagation direction_wake；

An influence angle determination unit for determining based on

an influence range determination unit for determining the radius of the wind turbine impellerIs the radius of the upper base, x_wake，maxIn the case of a high level of the signal,and determining the space surrounded by the circular truncated cone formed by the radius of the lower bottom surface as the influence range of the single-machine wake effect of the wind turbine generator at the corresponding wind speed.

10. The device according to claim 9, wherein the wake effect evaluation module is specifically configured to superimpose the wind speed loss of the wind turbine generator unit upstream of the wind turbine generator unit according to the respective influence ranges, and evaluate the wind speed loss of the region where the wind turbine generator unit is located.

11. The apparatus of claim 10, wherein the wake effect evaluation module is specifically configured to evaluate the wake effect based on

12. The apparatus of claim 11, further comprising:

a wake factor module for