Wind power plant wake flow control method and device, storage medium and program product

Abstract

The invention provides a wake flow control method and device for a wind power plant, a storage medium and a program product, and relates to the technical field of new energy. The wind power plant comprises at least one unit group, a unit connecting line in the unit group is parallel to the main wind direction of the wind power plant, and the wake flow control method comprises the following steps: determining whether any unit group corresponding to the wind power plant is influenced by wake flow or not; for the target unit group influenced by the wake flow, the turbulence intensity of the position where each unit in the target unit group is located is determined; determining the unit of which the turbulence intensity is greater than the turbulence intensity threshold value as a target unit; if the proportion of the target unit in the target unit group is larger than a proportion threshold value, wake flow control is carried out on the target unit group based on an axial induction factor control strategy; and if the proportion of the target unit in the target unit group is smaller than or equal to the proportion threshold value, wake flow control is performed on the target unit group based on a wake flow redirection control strategy. The wake flow interference in the wind power plant can be reduced, and the overall power generation efficiency of the wind power plant is improved.

Description

Technical Field

[0001] The present application relates to the field of new energy technology, and in particular to a method, device, storage medium and program product for controlling a wind farm's wake. Background Art

[0002] Wake interference in a wind farm occurs when the rotating blades of upstream turbines disrupt the airflow, creating a low-speed, turbulent wake downstream. This disrupts the performance of downstream turbines and the overall efficiency of the wind farm. Wake interference has a significant negative impact on the overall performance of a wind farm, so mitigating wake interference between turbines is key to improving overall wind farm efficiency.

[0003] In related technologies, axial induction factor control strategies or wake redirection strategies are often used to actively control the wake of wind farms, thereby reducing the impact of wake interference on wind farms and improving the overall power generation efficiency of wind farms. Among them, the axial induction factor control strategy is to reduce the power output of the wind turbines in the upstream unit by adjusting the speed and blade pitch angle of the wind turbines. This is aimed at reducing the wake in the downstream area and increasing the inflow wind speed of the downstream unit; while the wake redirection control strategy is to adjust the yaw angle of the wind turbines in the upstream unit so that the wake area generated by the upstream unit on the downstream unit deviates from the main wind direction, thereby changing the direction and distribution of the wake, which can effectively reduce the adverse effects of the wake on the downstream wind turbines, thereby reducing the power loss of the downstream unit and improving the power generation performance of the entire wind farm.

[0004] However, the overall power generation efficiency can only be improved to a limited extent by controlling the wake of the wind farm through the above-mentioned method. Summary of the Invention

[0005] The embodiments of the present application provide a wind farm wake control method, device, storage medium, and program product to reduce wake interference in the wind farm and improve the overall power generation efficiency of the wind farm.

[0006] In a first aspect, an embodiment of the present application provides a method for controlling a wake of a wind farm, wherein the wind farm includes at least one turbine group, wherein a connection line between turbines in the turbine group is parallel to the main wind direction of the wind farm, and the method for controlling a wake of the wind farm includes:

[0007] Determine whether any group of turbines corresponding to the wind farm is affected by the wake;

[0008] For the target group of turbines affected by wake vortex, determine the turbulence intensity at the location of each turbine in the target group of turbines;

[0009] The units with turbulence intensity greater than the turbulence intensity threshold are determined as target units;

[0010] If the proportion of target units in the target unit group is greater than the proportion threshold, the target unit group is subjected to wake control based on the axial induction factor control strategy;

[0011] If the proportion of target units in the target unit group is less than or equal to the proportion threshold, the target unit group is wake controlled based on the wake redirection control strategy.

[0012] In a possible implementation, determining whether any turbine group corresponding to a wind farm is affected by a wake turbulence includes:

[0013] For any group of turbines in a wind farm, the turbines in the group are divided into upstream turbines and downstream turbines according to the main wind direction.

[0014] If the power generation of the downstream unit is less than that of the upstream unit, it is determined that the unit group is affected by the wake;

[0015] If the power generation capacity of the downstream unit is greater than or equal to the power generation capacity of the upstream unit, it is determined that the unit group is not affected by the wake.

[0016] In one possible embodiment, the axial induction factor control strategy includes:

[0017] Based on the improved Jensen wake model, the optimal axial induction factor corresponding to each unit in the target unit group is determined. The optimal axial induction factor maximizes the total power generation of the target unit group.

[0018] According to the optimal axial induction factor corresponding to each unit, the turbine speed and blade pitch angle of the corresponding unit are adjusted.

[0019] In one possible implementation, the wake redirection control strategy includes:

[0020] Based on the FLORIS yaw wake model, the optimal yaw angle corresponding to each unit in the target unit group is determined. The optimal yaw angle maximizes the total power generation of the target unit group.

[0021] According to the optimal yaw angle corresponding to each unit, the yaw angle of the turbine of the corresponding unit is adjusted.

[0022] In a possible implementation, the fleet group is determined in the following manner:

[0023] A Cartesian coordinate system is established with the preset reference point as the origin, the direction of the main wind direction as the x-axis, and the direction perpendicular to the main wind direction as the y-axis;

[0024] Determine the target position of the unit in the Cartesian coordinate system;

[0025] In the Cartesian coordinate system, the unit connection lines between adjacent units are established according to the target position points;

[0026] Adjacent units whose connecting line is parallel to the x-axis and whose distance is less than the distance threshold are divided into the same unit group. The distance threshold is the maximum distance at which wake interference occurs between upstream and downstream units.

[0027] In a possible implementation, determining a target position point of the unit in a Cartesian coordinate system includes:

[0028] According to the location information of the units in the wind farm, establish the connection line between the units and the origin;

[0029] Using spherical trigonometry, determine the angle between the connecting line and the x-axis;

[0030] According to the included angle and the distance between the unit and the origin, the target position point of the unit in the Cartesian coordinate system is determined.

[0031] In a second aspect, an embodiment of the present application provides a wake control device for a wind farm, wherein the wind farm includes at least one turbine group, wherein a connection line between the turbines in the turbine group is parallel to the main wind direction of the wind farm, and the wake control device includes:

[0032] A wake impact determination module is used to determine whether any turbine group corresponding to the wind farm is affected by the wake;

[0033] A turbulence intensity determination module is used to determine the turbulence intensity at the location of each unit in the target unit group affected by the wake;

[0034] a target unit determination module, configured to determine a unit with a turbulence intensity greater than a turbulence intensity threshold as a target unit;

[0035] The control module is used to perform wake control on the target unit group based on the axial induction factor control strategy if the proportion of target units in the target unit group is greater than the proportion threshold; and to perform wake control on the target unit group based on the wake redirection control strategy if the proportion of target units in the target unit group is less than or equal to the proportion threshold.

[0036] In a third aspect, an embodiment of the present application provides a wake control device for a wind farm, comprising: a memory, a processor;

[0037] Memory stores computer-executable instructions;

[0038] The processor executes the computer-executable instructions stored in the memory, so that the processor executes the above first aspect and / or various possible implementations of the first aspect.

[0039] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed, they are used to implement the first aspect and / or various possible implementation methods of the first aspect as described above.

[0040] In a fifth aspect, an embodiment of the present application provides a computer program product, including a computer program, which, when executed, implements the above first aspect and / or various possible implementation methods of the first aspect.

[0041] The wake control method, device, storage medium and program product of a wind farm provided in the embodiments of the present application divide the units in the wind farm into unit groups, first determine whether the unit group is affected by the wake, further distinguish the target unit groups with different turbulence characteristics by analyzing the turbulence intensity at the unit position in the target unit group, implement targeted wake control strategies, determine the units with turbulence intensity greater than the turbulence intensity threshold as target units, and when the proportion of target units in the target unit group is greater than the proportion threshold, perform wake control on the target unit group based on the axial induction factor control strategy; when the proportion of target units in the target unit group is less than or equal to the proportion threshold, perform wake control on the target unit group based on the wake redirection control strategy, so as to realize different wake control strategies for different unit groups in the wind farm, fully combine the advantages of the axial induction factor control strategy and the wake redirection control strategy under different turbulence conditions, effectively reduce wake interference in the wind farm, and improve the overall power generation efficiency of the wind farm. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0043] Figure 1 A schematic diagram of a wind farm provided in an embodiment of the present application;

[0044] Figure 2 A schematic flow chart of a method for controlling a wind farm's wake provided in an embodiment of the present application;

[0045] Figure 3 A schematic structural diagram of a wind farm wake control device provided in an embodiment of the present application;

[0046] Figure 4 A schematic structural diagram of a wind farm wake control device provided in an embodiment of the present application.

[0047] The above drawings illustrate specific embodiments of the present application, which will be described in more detail below. These drawings and the textual description are not intended to limit the scope of the present application in any way, but rather to illustrate the concepts of the present application to those skilled in the art by reference to specific embodiments. DETAILED DESCRIPTION

[0048] Exemplary embodiments will be described in detail herein, with examples illustrated in the accompanying drawings. In the following description, when referring to the drawings, identical numerals in different figures represent identical or similar elements, unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

[0049] In the related art, when the wake redirection control strategy is used to control the wake of a wind farm with a high turbulence intensity, there will be a certain deviation between the unit and the main wind direction, causing the wind turbine blades to bear more non-directional and asymmetric aerodynamic loads, and the effect of improving power generation efficiency is very limited. It will also seriously increase the fatigue load of the unit and endanger the service life of the unit. Although the axial induction factor control strategy can effectively improve the power generation efficiency in wind farms with high turbulence intensity, its effect of improving power generation efficiency under conditions of low turbulence intensity is not as good as the wake redirection control strategy. In addition, there are differences in the site selection of units in wind farms in various regions, and the relative positions of the units in different wind farms vary greatly, resulting in a variety of layouts between wind farms, and the main wind directions of the wind farms are different. Therefore, using a single axial induction factor control strategy or wake redirection strategy to control the wake of a wind farm is not ideal for improving the power generation efficiency of the wind farm.

[0050] The wake control method for a wind farm provided in an embodiment of the present application divides the units in the wind farm into unit groups. For the unit groups affected by the wake and with high turbulence intensity, an axial induction factor control strategy is used to perform wake control. For the unit groups affected by the wake but with low turbulence intensity, a wake redirection control strategy is used to perform wake control. The advantages of the axial induction factor control strategy and the wake redirection control strategy under different turbulence conditions are fully combined to effectively reduce the wake interference in the wind farm and improve the overall power generation efficiency of the wind farm.

[0051] The following specific embodiments describe in detail the technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0052] Figure 1 This is a schematic diagram of a wind farm provided in the embodiment of this application. Figure 1As shown, a wind farm includes at least one turbine cluster, where the line connecting the turbines in the cluster is parallel to the prevailing wind direction of the wind farm. The prevailing wind direction of a wind farm refers to the wind direction that occurs most frequently within a preset period of time. For example, the wind direction that occurs most frequently within the past year is the prevailing wind direction of the wind farm. In some embodiments, the distance between two adjacent turbines in a turbine cluster must meet a preset grouping condition. For example, the distance between adjacent turbines in a turbine cluster must be less than ten times the diameter of the turbines in the turbine cluster.

[0053] Figure 2 This is a flow chart of the wind farm wake control method provided in the embodiment of the present application. Figure 1 The wind farm shown, Figure 2 As shown in Figure 2, the wake control methods for wind farms include:

[0054] S201: Determine whether any turbine group corresponding to the wind farm is affected by wake turbulence.

[0055] Specifically, whether the unit group is affected by the wake is determined by the historical power generation data of the unit group. Ideally, the power generation power of the units in the unit group should be the same under the same wind conditions. If, according to the analysis of historical power generation data, it is found that under the same wind conditions, the power generation power of the units in the unit group shows a decreasing trend from the upstream unit to the downstream unit, it means that the unit group is affected by the wake. Among them, the upstream unit refers to the unit close to the main wind direction among any two adjacent units in the unit group, and the downstream unit refers to the unit away from the main wind direction among any two adjacent units in the unit group. It can be understood that for the unit group affected by the wake, wake control is required, and for the unit group not affected by the wake, wake control is not required.

[0056] S202. For a target group of turbines affected by wake vortexes, determine the turbulence intensity at the location of each turbine in the target group of turbines.

[0057] In a wind farm, the wake of an upstream turbine can cause fluctuations in wind speed through downstream turbines. Turbulence intensity is a key indicator of the severity of wind speed fluctuations. In one embodiment, the following formula is used to calculate the turbulence intensity at the location of each turbine in the target turbine group:

[0058]

[0059] Where I is the turbulence intensity at the location of each unit in the target unit group, is the standard deviation of wind speed at the location of each unit in the target unit group within ten minutes, and U is the average wind speed at the location of each unit in the target unit group within ten minutes.

[0060] S203. Determine the unit with a turbulence intensity greater than a turbulence intensity threshold as a target unit.

[0061] When the turbulence intensity of the machine group is greater than the turbulence intensity threshold, it is considered that the machine group has a high turbulence intensity feature, and the machine group is determined as the target machine group. The turbulence intensity is a dimensionless value. For example, when the turbulence intensity of the machine group is greater than 15, the machine group is determined as the target machine group.

[0062] S204, if the proportion of the target machine group in the target machine group is greater than the proportion threshold, the wake control is performed on the target machine group based on the axial induction factor control strategy.

[0063] When the proportion of the target machine group in the target machine group is greater than the proportion threshold, it is considered that the target machine group is greatly affected by the turbulence, and the wake control should be fully considered for the target machine group under the turbulence condition. For example, when the proportion of the target machine group in the target machine group is greater than 30%, the wake control is performed on the target machine group based on the axial induction factor control strategy. The axial induction factor control strategy can effectively improve the power generation efficiency of the target machine group under the condition of high turbulence intensity, and can avoid damage to the machine group caused by the wake of high turbulence intensity.

[0064] S205, if the proportion of the target machine group in the target machine group is less than or equal to the proportion threshold, the wake control is performed on the target machine group based on the wake redirection control strategy.

[0065] When the proportion of the target machine group in the target machine group is less than or equal to the proportion threshold, for example, when the proportion of the target machine group in the target machine group is less than or equal to 30%, it is considered that the target machine group is less affected by the turbulence, and the wake redirection control strategy which is good at improving the power generation efficiency of the machine group under this condition is used to perform the wake control on the target machine group.

[0066] The wake control method of the wind farm provided in the embodiments of the present application divides the machines in the wind farm into machine groups according to the main wind direction and the positions of the machines, and performs targeted wake control on the target machine group affected by the wake. For the target machine group with high turbulence intensity, the axial induction factor control strategy is used to perform the wake control, which can effectively improve the power generation efficiency of the target machine group under the condition of high turbulence intensity, and can avoid damage to the machine group caused by the wake of high turbulence intensity. For the target machine group with low turbulence intensity, the wake redirection control strategy which is good at improving the power generation efficiency of the machine group is used to perform the wake control on the target machine group. The wake control method of the wind farm provided in the embodiments of the present application combines the advantages of the axial induction factor control strategy and the wake redirection control strategy, realizes the wake control in the wind farm according to local conditions, effectively reduces the wake interference in the wind farm, and improves the overall power generation efficiency of the wind farm.

[0067] In a possible implementation, determining whether any machine group corresponding to the wind farm is affected by the wake includes:

[0068] For any group of turbines in a wind farm, the turbines contained in the group are divided into upstream turbines and downstream turbines according to the main wind direction. If the power generation power of the downstream turbine is less than that of the upstream turbine, the turbine group is determined to be affected by the wake. If the power generation power of the downstream turbine is greater than or equal to that of the upstream turbine, the turbine group is determined to be not affected by the wake.

[0069] Specifically, the power generation capacity of the unit can be obtained based on the historical power generation data of the unit within a preset time period, such as one year. The upstream unit refers to the unit close to the main wind direction among any two adjacent units in the unit group, and the downstream unit refers to the unit away from the main wind direction among any two adjacent units in the unit group. It can be understood that, ideally, the power generation capacity of the units in the unit group should be the same under the same wind conditions. If, under the same wind conditions, the power generation capacity of the units in the unit group decreases from the upstream unit to the downstream unit, it means that the unit group is affected by the wake.

[0070] The wake control method for a wind farm provided in the embodiment of the present application scientifically determines whether a group of turbines is affected by wake according to the main wind direction of the wind farm and the power generation power of the turbines, thereby providing a basis for further wake control of the turbines affected by wake.

[0071] In one possible embodiment, the axial induction factor control strategy includes:

[0072] Based on the improved Jensen wake model, the optimal axial induction factor corresponding to each unit in the target unit group is determined. The optimal axial induction factor maximizes the total power generation power of the target unit group. According to the optimal axial induction factor corresponding to each unit, the turbine speed and blade pitch angle of the corresponding unit are adjusted.

[0073] Specifically, based on the improved Jensen wake model, the wind speed expression at a downstream position x meters away from the unit can be obtained as:

[0074]

[0075] Where x is the distance downstream of the unit, is the upstream wind speed, v and r represent the wind speed and wake cross-sectional radius at a distance of x meters downstream of the unit, respectively, and k is the wake expansion coefficient. , is the axial induction factor.

[0076] Assuming that there are n units in the target unit group, the wind speed at the unit's location is determined according to the above wind speed expression: ,i=1,2,…,n.

[0077] Determine the power generation corresponding to the i-th unit according to the following formula :

[0078]

[0079] in, is the power generation corresponding to the i-th unit, i=1,2,…,n, is the air density, r is the wake cross-sectional radius at the unit’s location, is the wind speed at the location of the i-th unit, , is the axial induction factor corresponding to the i-th fan.

[0080] The total generating capacity of the group is:

[0081]

[0082] By combining the above formulas, the relationship between the axial induction factor corresponding to the unit and the total power generation power of the unit group can be obtained, and then the optimal axial induction factor corresponding to each unit in the target unit group that maximizes the total power generation power of the target unit group can be solved. According to the optimal axial induction factor corresponding to each unit, the turbine speed and blade pitch angle of the corresponding unit are adjusted to achieve wake control of the target unit group.

[0083] The wake control method for a wind farm provided in an embodiment of the present application is based on an improved Jensen wake model, and can accurately calculate the optimal axial induction factor corresponding to each unit in a target unit group. Based on the optimal axial induction factor, the turbine speed and blade pitch angle of the corresponding unit are adjusted. This axial induction factor control strategy can not only effectively control the wake in the target unit group and improve the overall power generation capacity of the target unit group, but also avoid fatigue damage to the unit under high turbulence intensity.

[0084] In one possible implementation, the wake redirection control strategy includes:

[0085] Based on the FLORIS yaw wake model, the optimal yaw angle corresponding to each unit in the target unit group is determined. The optimal yaw angle maximizes the total power generation power of the target unit group; according to the optimal yaw angle corresponding to each unit, the yaw angle of the turbine of the corresponding unit is adjusted.

[0086] The FLORIS yaw wake model divides the turbine wake into three regions: the mixed wake region, the far wake region, and the near wake region. The expression of the downstream wind turbine wind speed based on the FLORIS yaw wake model is:

[0087]

[0088] Where, p is the wake area number of the unit, p=1, 2, 3;

[0089] V i,j,p The wind speed of the wake p of the upstream unit i projected on the rotor surface of the downstream unit j, i = 1, 2, ..., n-1, j = 2, 3, ..., n;

[0090] V represents the free stream wind speed that is not disturbed by the wake, that is, the incoming wind speed that is far enough upstream of the unit and is not affected by the wake. i,j,p The expression is as follows:

[0091]

[0092] in, is the axial induction factor corresponding to the i-th fan, c i The expression is as follows:

[0093]

[0094] c i is the attenuation coefficient; y j,p represents the lateral distance from unit j to the boundary of region p, p=1,2,3; c i,p is the attenuation coefficient of region p, p=1, 2, 3; D i,j,p is the wake diameter of region p, p=1,2,3, and its expression is:

[0095]

[0096] Where m e,p is the expansion coefficient, m e,1 = 1, m e,2 = 0.22, m e,3 = -0.5.

[0097] The attenuation coefficient of the P region is:

[0098]

[0099] Where m u,p is the wake velocity influencing factor in region p, where m u,1 = 0.5, m u,2 = 1, m u,3 = 5.5; , b u is a constant, where = 5, b u = 1.66; γ is the yaw angle.

[0100] When the unit yaws, its wake will shift in the opposite direction of the yaw, and the wake shift distance y x for:

[0101]

[0102] y yaw is the wake offset distance caused by yaw; rotation is the wake offset distance caused by the Earth's rotation, also known as the wake offset caused by the Coriolis force; is the yaw loss sensitivity, which is usually taken as 0.15; m and n are taken as m = -4.5 and n = -0.01 respectively.

[0103] Considering the influence of yaw angle on wind turbine output power, the wind energy utilization coefficient C P Make the correction as shown below:

[0104]

[0105] Where η and Pp are constants, and their values ​​are η = 0.77, Pp = 1.88, is the yaw angle corresponding to the i-th unit.

[0106] Through the above calculation, the optimal yaw angle corresponding to each unit that maximizes the power generation of the target unit group can be obtained.

[0107] The wake control method for a wind farm provided in an embodiment of the present application is based on the FLORIS yaw wake model, establishes a relationship between the power generation power of a target group of turbines and the yaw angle of the turbines, and then accurately solves the optimal yaw angle corresponding to each turbine that maximizes the power generation power of the target group of turbines. According to the optimal yaw angle corresponding to each turbine, the yaw angle of the turbine of the corresponding turbine is adjusted to achieve the effect of performing wake control on the target group of turbines and improving the overall power generation power of the target group of turbines.

[0108] In a possible implementation, the fleet group is determined in the following manner:

[0109] A Cartesian coordinate system is established with a preset reference point as the origin, the direction of the main wind direction as the x-axis, and the direction perpendicular to the main wind direction as the y-axis; the target position point of the unit in the Cartesian coordinate system is determined; in the Cartesian coordinate system, a unit connection line is established between adjacent units based on the target position point; adjacent units whose unit connection line is parallel to the x-axis and whose unit distance is less than a distance threshold are divided into the same unit group, and the distance threshold is the maximum distance at which wake interference exists between upstream and downstream units.

[0110] Generally, the position information of the machine group is the longitude and latitude information of the geographical position where the machine group is located, and the longitude and latitude are spherical coordinates. However, the wind farm layout needs to be a planar distance. If the distance between the machines is large, the complexity of direct use of spherical geometry method is high, and the accuracy is poor. Therefore, a Cartesian coordinate system is established in the wind farm to simplify the calculation and improve the calculation accuracy, and to be more compatible with the wake model.

[0111] In one embodiment, when the main wind direction of the wind farm changes, the coordinate axes of the Cartesian coordinate system rotate with the change of the main wind direction.

[0112] In the Cartesian coordinate system, the connecting line between adjacent machines is established. When the machine connecting line is parallel to the x-axis and the machine distance is less than the distance threshold, the machines on the machine connecting line are divided into the same machine group. The distance threshold is the maximum distance between the upstream and downstream machines with wake interference. Exemplarily, the distance threshold is ten times the diameter of the machine fan.

[0113] The wake control method of the wind farm provided by the embodiments of the present application maps the position of the machine to the Cartesian coordinate system in the wind farm, improves the accuracy of position calculation in the wake control process, connects the machines and divides the machine groups according to the target position point of the machine in the Cartesian coordinate system, simplifies the machine grouping problem in the wake control, and improves the implementation convenience and pertinence of the wake control.

[0114] In one possible embodiment, the target position point of the machine in the Cartesian coordinate system is determined, comprising:

[0115] According to the position information of the machine in the wind farm, a connecting line of the machine and the origin is established. The included angle between the connecting line and the x-axis is determined by spherical triangle method. According to the included angle and the distance between the machine and the origin, the target position point of the machine in the Cartesian coordinate system is determined.

[0116] Specifically, the included angle between the connecting line and the x-axis is determined by using the following formula:

[0117]

[0118] wherein, is the included angle between the connecting line and the x-axis, , , is the longitude difference between two points, , is the latitude value of two points, and the distance between the machine and the origin is calculated according to the following formula:

[0119]

[0120] In the formula, s is the distance between the machine and the origin, R represents the radius of the earth, which is about 6371 km, is the latitude difference between the two points, is the difference in longitude between the two points.

[0121] The wake control method for a wind farm provided in the embodiment of the present application maps the units to a Cartesian coordinate system, making subsequent unit grouping and position calculations in the wake control process simpler and improving calculation accuracy.

[0122] Figure 3 The wind farm includes at least one turbine group, and the connection line of the turbines in the turbine group is parallel to the main wind direction of the wind farm, such as Figure 3 As shown, the wake control device 30 for a wind farm provided in this embodiment includes:

[0123] The wake impact determination module 301 is used to determine whether any turbine group corresponding to the wind farm is affected by the wake;

[0124] The turbulence intensity determination module 302 is used to determine the turbulence intensity at the location of each unit in the target unit group affected by the wake;

[0125] The target unit determination module 303 is configured to determine a unit with a turbulence intensity greater than a turbulence intensity threshold as a target unit;

[0126] The control module 304 is used to perform wake control on the target unit group based on the axial induction factor control strategy if the proportion of target units in the target unit group is greater than the proportion threshold; and to perform wake control on the target unit group based on the wake redirection control strategy if the proportion of target units in the target unit group is less than or equal to the proportion threshold.

[0127] In a possible implementation, the wake impact determination module 301 is specifically configured to:

[0128] For any group of turbines in a wind farm, the turbines in the group are divided into upstream turbines and downstream turbines according to the main wind direction.

[0129] If the power generation of the downstream unit is less than that of the upstream unit, it is determined that the unit group is affected by the wake;

[0130] If the power generation capacity of the downstream unit is greater than or equal to the power generation capacity of the upstream unit, it is determined that the unit group is not affected by the wake.

[0131] In a possible implementation, the control module 304 is specifically configured to:

[0132] Based on the improved Jensen wake model, the optimal axial induction factor corresponding to each unit in the target unit group is determined. The optimal axial induction factor maximizes the total power generation of the target unit group.

[0133] According to the optimal axial induction factor corresponding to each unit, the turbine speed and blade pitch angle of the corresponding unit are adjusted.

[0134] In a possible implementation, the control module 304 is specifically configured to:

[0135] Based on the FLORIS yaw wake model, the optimal yaw angle corresponding to each unit in the target unit group is determined. The optimal yaw angle maximizes the total power generation of the target unit group.

[0136] According to the optimal yaw angle corresponding to each unit, the yaw angle of the turbine of the corresponding unit is adjusted.

[0137] The wake control device for a wind farm provided in this embodiment can execute the method provided in the above method embodiment. Its implementation principle and technical effects are similar and will not be described in detail in this embodiment.

[0138] Figure 4 This is a schematic diagram of the structure of the wake control equipment of the wind farm provided in this application. Figure 4 As shown, the wake control device 40 for a wind farm provided in this embodiment includes: at least one processor 401 and a memory 402. Optionally, the wake control device 40 for a wind farm also includes a communication interface 403. The processor 401, the memory 402, and the communication interface 403 are connected via a communication bus 404.

[0139] In a specific implementation process, at least one processor 401 executes the computer-executable instructions stored in the memory 402, so that the at least one processor 401 performs the above method.

[0140] The specific implementation process of the processor 401 can be found in the above method embodiment. Its implementation principle and technical effects are similar and will not be repeated here in this embodiment.

[0141] In the above embodiments, it should be understood that the processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc. The general-purpose processor may be a microprocessor or any conventional processor. The steps of the method disclosed in the present invention may be directly executed by a hardware processor or by a combination of hardware and software modules in the processor.

[0142] The memory may include random access memory (RAM) and may also include non-volatile memory (NVM), such as at least one disk storage.

[0143] A communication bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus. Buses can be categorized as address buses, data buses, and control buses. For ease of illustration, the buses in the drawings of this application are not limited to just one bus or just one type of bus.

[0144] An embodiment of the present application also provides a computer program product, including a computer program, which implements the above method when executed.

[0145] An embodiment of the present application further provides a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed, the above-mentioned method is implemented.

[0146] The readable storage medium may be implemented by any type of volatile or non-volatile memory device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The readable storage medium may be any available medium that can be accessed by a general-purpose or special-purpose computer.

[0147] An exemplary readable storage medium is coupled to a processor so that the processor can read information from the readable storage medium and write information to the readable storage medium. Of course, the readable storage medium can also be an integral part of the processor. The processor and the readable storage medium can be located in an application specific integrated circuit (ASIC). Of course, the processor and the readable storage medium can also exist in a device as discrete components.

[0148] The division of units is merely a logical functional division; actual implementations may employ alternative divisions, such as combining or integrating multiple units or components into another system, or omitting or disabling certain features. Furthermore, any direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection between devices or units, either through an interface, electrical, mechanical, or other means.

[0149] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0150] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0151] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the various embodiments of the method of the present invention. The aforementioned storage medium includes various media that can store program code, such as USB flash drives, mobile hard drives, read-only memories (ROM), random access memories (RAM), magnetic disks, or optical disks.

[0152] Those skilled in the art will appreciate that all or part of the steps in the above-described method embodiments can be implemented using hardware associated with program instructions. The aforementioned program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0153] Finally, it should be noted that those skilled in the art will readily identify other embodiments of the present invention after considering the specification and practicing the invention disclosed herein. The present invention is intended to cover any variations, uses, or adaptations of the present invention that follow the general principles of the present invention and include common knowledge or customary techniques in the art not disclosed herein. The present invention is not limited to the precise structure described above and illustrated in the accompanying drawings, and various modifications and variations may be made without departing from the scope thereof. The scope of the present invention is limited solely by the appended claims.

Claims

1. A method for controlling a wind farm's wake, characterized in that: The wind farm comprises at least one turbine group, the turbine lines in the turbine group are parallel to the main wind direction of the wind farm, and the wake control method comprises: Determining whether any turbine group corresponding to the wind farm is affected by the wake; For a target group of turbines affected by the wake, determining the turbulence intensity at a location of each turbine in the target group of turbines; The units with turbulence intensity greater than the turbulence intensity threshold are determined as target units; If the proportion of target units in the target unit group is greater than the proportion threshold, performing wake control on the target unit group based on the axial induction factor control strategy; If the proportion of target units in the target unit group is less than or equal to the proportion threshold, wake control is performed on the target unit group based on the wake redirection control strategy.

2. The wake control method according to claim 1, characterized in that: The determining whether any turbine group corresponding to the wind farm is affected by the wake includes: For any turbine group in the wind farm, the turbines included in the turbine group are divided into upstream turbines and downstream turbines according to the main wind direction; If the power generation of the downstream unit is less than that of the upstream unit, it is determined that the unit group is affected by the wake; If the power generation capacity of the downstream unit is greater than or equal to the power generation capacity of the upstream unit, it is determined that the unit group is not affected by the wake.

3. The method for controlling the wake of a wind farm according to claim 1 or 2, characterized in that: The axial induction factor control strategy includes: Based on the improved Jensen wake model, the optimal axial induction factor corresponding to each unit in the target unit group is determined, wherein the optimal axial induction factor maximizes the total power generation of the target unit group; According to the optimal axial induction factor corresponding to each unit, the turbine speed and blade pitch angle of the corresponding unit are adjusted.

4. The method for controlling the wake of a wind farm according to claim 1 or 2, characterized in that: The wake redirection control strategy includes: Based on the FLORIS yaw wake model, the optimal yaw angle corresponding to each unit in the target unit group is determined, and the optimal yaw angle maximizes the total power generation of the target unit group; According to the optimal yaw angle corresponding to each unit, the yaw angle of the turbine of the corresponding unit is adjusted.

5. The wake control method according to claim 1 or 2, characterized in that: The group of units is determined in the following manner: A Cartesian coordinate system is established with a preset reference point as the origin, the direction of the main wind direction as the x-axis, and the direction perpendicular to the main wind direction as the y-axis; Determine the target position point of the unit in the Cartesian coordinate system; In the Cartesian coordinate system, establishing unit connection lines between adjacent units according to the target position points; Adjacent units whose unit connection line is parallel to the x-axis and whose unit distance is less than a distance threshold are divided into the same unit group. The distance threshold is the maximum distance at which wake interference occurs between upstream and downstream units.

6. The wake control method according to claim 5, characterized in that: Determining the target position point of the unit in the Cartesian coordinate system includes: Establishing a connection line between the generator set and the origin according to the position information of the generator set in the wind farm; Using spherical trigonometry, determine the angle between the connecting line and the x-axis; According to the included angle and the distance between the unit and the origin, the target position point of the unit in the Cartesian coordinate system is determined.

7. A wake control device for a wind farm, characterized in that: The wind farm comprises at least one turbine group, the turbines in the turbine group are connected in parallel with the main wind direction of the wind farm, and the wake control device comprises: A wake impact determination module, configured to determine whether any turbine group corresponding to the wind farm is affected by the wake; a turbulence intensity determination module, configured to determine the turbulence intensity at the location of each unit in a target unit group affected by wake turbulence; a target unit determination module, configured to determine a unit with a turbulence intensity greater than a turbulence intensity threshold as a target unit; A control module is configured to perform wake control on the target group of turbines based on an axial induction factor control strategy if the proportion of target turbines in the target group of turbines is greater than a proportion threshold; and to perform wake control on the target group of turbines based on a wake redirection control strategy if the proportion of target turbines in the target group of turbines is less than or equal to the proportion threshold.

8. A wake control device for a wind farm, characterized in that: include: Memory, processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory, so that the processor performs the method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 6 when executed.

10. A computer program product, characterized in that The invention comprises a computer program, which implements the method according to any one of claims 1 to 6 when the computer program is executed.

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