Wind farm wake control method, device, storage medium and program product

Abstract

This application provides a wake control method, device, storage medium, and program product for wind farms, relating to the field of new energy technology. A wind farm includes at least one turbine group, with the turbine connections parallel to the prevailing wind direction. The wake control method includes: determining whether any turbine group within the wind farm is affected by wake; for a target turbine group affected by wake, determining the turbulence intensity at the location of each turbine in the target turbine group; identifying turbines with turbulence intensity greater than a turbulence intensity threshold as target turbines; if the proportion of target turbines in the target turbine group is greater than a proportion threshold, then performing wake control on the target turbine group based on an axial induction factor control strategy; if the proportion of target turbines in the target turbine group is less than or equal to the proportion threshold, then performing wake control on the target turbine group based on a wake redirection control strategy. This application can reduce wake interference in wind farms and improve the overall power generation efficiency of wind farms.

Description

Technical Field

[0001] This application relates to the field of new energy technology, and in particular to a wake control method, device, storage medium and program product for wind farms. Background Technology

[0002] Wake interference in wind farms refers to the phenomenon where the rotating blades of upstream turbines disturb the airflow, creating a low-speed, turbulent wake region downstream, thus affecting the performance of downstream turbines and the overall power generation efficiency of the wind farm. Wake interference has a serious negative impact on the overall performance of wind farms; therefore, mitigating wake interference between turbines is key to improving the overall efficiency of wind farms.

[0003] In related technologies, axial inducible factor control (AIC) or wake redirection strategies are often used to actively control the wake of wind farms, reducing the impact of wake interference and improving the overall power generation efficiency. AIC reduces the power output of upstream wind turbines by adjusting their rotational speed and blade pitch angle, aiming to decrease wake in the downstream region and increase the inflow wind speed to downstream turbines. Wake redirection, on the other hand, adjusts the yaw angle of upstream wind turbines, causing the wake region generated by upstream turbines to deviate from the prevailing wind direction, thus altering the direction and distribution of the wake. This effectively reduces the adverse effects of wake on downstream wind turbines, thereby reducing power loss in downstream turbines and improving the overall power generation performance of the wind farm.

[0004] However, the overall power generation efficiency improvement is limited when using the above methods to control the wake of wind farms. Summary of the Invention

[0005] This application provides a wake control method, device, storage medium, and program product for wind farms, which can reduce wake interference in wind farms and improve the overall power generation efficiency of wind farms.

[0006] In a first aspect, embodiments of this application provide a wake control method for a wind farm, wherein the wind farm includes at least one turbine group, the turbine group's interconnection line is parallel to the prevailing wind direction of the wind farm, and the wake control method includes:

[0007] Determine whether any group of turbines in a wind farm is affected by wake vortices;

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

[0009] Units with turbulence intensity greater than the turbulence intensity threshold are identified as target units;

[0010] If the proportion of the target units in the target unit group is greater than the proportion threshold, then wake control is performed on the target unit group 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, then the target unit group is subject to wake control based on the wake redirection control strategy.

[0012] In one possible implementation, determining whether any group of turbines corresponding to a wind farm is affected by wake 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 prevailing wind direction.

[0014] If the power generation of the downstream units is less than that of the upstream units, then the unit group is determined to be affected by the wake.

[0015] If the power generation of the downstream units is greater than or equal to that of the upstream units, then the unit group is determined to be unaffected by the wake.

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

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

[0021] Adjust the yaw angle of the turbine of the corresponding unit according to the optimal yaw angle for each unit.

[0022] In one possible implementation, the unit group is determined in the following way:

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

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

[0025] In a Cartesian coordinate system, establish the connection lines between adjacent units based on the target location point;

[0026] Adjacent units whose connection lines are parallel to the x-axis and whose distance is less than a distance threshold are grouped into the same unit group. The distance threshold is the maximum distance between upstream and downstream units where wake interference exists.

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

[0028] Based on the location information of the turbines in the wind farm, establish a line connecting the turbines to the origin.

[0029] Determine the angle between the connecting line and the x-axis using spherical trigonometry;

[0030] Based on the included angle and the distance between the unit and the origin, determine the target position of the unit in the Cartesian coordinate system.

[0031] Secondly, embodiments of this application provide a wake control device for a wind farm. The wind farm includes at least one turbine group, and the turbine connections within the turbine group are parallel to the prevailing wind direction of the wind farm. The wake control device includes:

[0032] The wake impact determination module is used to determine whether any group of turbines in a wind farm is affected by wakes.

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

[0034] The target unit determination module is used to identify units with turbulence intensity greater than the turbulence intensity threshold as target units;

[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 the target unit 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 the target unit in the target unit group is less than or equal to the proportion threshold.

[0036] Thirdly, embodiments of this application provide a wake control device for a wind farm, including: a memory and a processor;

[0037] The memory stores the instructions that the computer executes;

[0038] The processor executes computer execution instructions stored in memory, causing the processor to perform the first aspect and / or various possible implementations of the first aspect as described above.

[0039] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions, which, when executed, are used to implement the first aspect and / or various possible implementations of the first aspect.

[0040] Fifthly, embodiments of this application provide a computer program product, including a computer program, which, when executed, implements the first aspect and / or various possible implementations of the first aspect.

[0041] The wake control method, equipment, storage medium, and program product for wind farms provided in this application divide the turbines in the wind farm into turbine groups. First, it determines whether the turbine group is affected by wake. Then, by analyzing the turbulence intensity at the locations of the turbines in the target turbine group, it distinguishes target turbine groups with different turbulence characteristics and implements targeted wake control strategies. Turbines with turbulence intensity greater than a turbulence intensity threshold are identified as target turbines. When the proportion of target turbines in the target turbine group is greater than a proportion threshold, wake control is performed on the target turbine group based on an axial induction factor control strategy. When the proportion of target turbines in the target turbine group is less than or equal to the proportion threshold, wake control is performed on the target turbine group based on a wake redirection control strategy. This allows different wake control strategies to be used for different turbine groups within the wind farm, fully combining the advantages of axial induction factor control and wake redirection control strategies under different turbulence conditions. This effectively reduces wake interference in the wind farm and improves the overall power generation efficiency of the wind farm. Attached Figure Description

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

[0043] Figure 1 A schematic diagram of a wind farm provided for an embodiment of this application;

[0044] Figure 2 A schematic flowchart of a wind farm wake control method provided in an embodiment of this application;

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

[0046] Figure 4 This is a schematic diagram of the wake control device for a wind farm provided in an embodiment of this application.

[0047] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0048] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0049] In related technologies, when using wake redirection control strategies for wake control in wind farms with high turbulence, the turbines may deviate from the prevailing wind direction. This results in the turbine blades bearing more non-directional and asymmetric aerodynamic loads, limiting the improvement in power generation efficiency and significantly increasing fatigue loads, thus jeopardizing the turbine's lifespan. While axial inducible factor control strategies can effectively improve power generation efficiency in wind farms with high turbulence, their effectiveness is less pronounced than wake redirection control strategies in areas with lower turbulence. Furthermore, the location of turbines varies across wind farms, leading to diverse layouts and varying prevailing wind directions. Therefore, using a single axial inducible factor control strategy or wake redirection strategy for wake control in wind farms is not ideal for improving power generation efficiency.

[0050] The wake control method for wind farms provided in this application divides the turbines in the wind farm into turbine groups. For turbine groups that are affected by wakes and have high turbulence intensity, an axial inducible factor control strategy is used for wake control. For turbine groups that are affected by wakes but have low turbulence intensity, a wake redirection control strategy is used for wake control. By fully combining the advantages of the axial inducible factor control strategy and the wake redirection control strategy under different turbulence conditions, the method effectively reduces wake interference in the wind farm and improves the overall power generation efficiency of the wind farm.

[0051] The technical solution of this application and how the technical solution of this application solves the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will now be described with reference to the accompanying drawings.

[0052] Figure 1 A schematic diagram of a wind farm provided for an embodiment of this application. (See attached diagram.) Figure 1As shown, a wind farm comprises at least one turbine group. The lines connecting the turbines in the group are parallel to the prevailing wind direction of the wind farm. The prevailing wind direction refers to the wind direction that occurs most frequently within a preset time period. 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 the group needs to meet preset grouping conditions. For example, the distance between adjacent turbines in the group is less than ten times the diameter of the turbine.

[0053] Figure 2 This is a schematic flowchart of a wind farm wake control method provided in an embodiment of this application. It is applied to... Figure 1 The wind farm shown is as follows: Figure 2 As shown, the wake control methods for wind farms include:

[0054] S201. Determine whether any group of units corresponding to the wind farm is affected by the wake.

[0055] Specifically, the impact of wake ripples on a generator group is determined by analyzing its historical power generation data. Ideally, the power output of generators within a group should be identical under the same wind conditions. If historical power generation data analysis shows a decreasing trend in power output from upstream to downstream generators under the same wind conditions, then the group is affected by wake ripples. Upstream generators are those closer to the prevailing wind direction among any two adjacent generators in the group, while downstream generators are those furthest from the prevailing wind direction among any two adjacent generators. It is understandable that wake ripple control is required for generator groups affected by wake ripples, but not for those unaffected.

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

[0057] In a wind farm, the wake of upstream turbines causes fluctuations in wind speed flowing through downstream turbines. Turbulence intensity is a key indicator of the severity of these wind speed fluctuations. In one implementation, the turbulence intensity at the location of each turbine in the target turbine group is calculated using the following formula:

[0058]

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

[0060] S203. Units with turbulence intensity greater than the turbulence intensity threshold are identified as target units.

[0061] When the turbulence intensity of a unit exceeds a turbulence intensity threshold, the unit is considered to have high turbulence intensity characteristics and is thus identified as the target unit. Turbulence intensity is a dimensionless value; for example, when the turbulence intensity of a unit is greater than 15, the unit is identified as the target unit.

[0062] S204. If the proportion of the target units in the target unit group is greater than the proportion threshold, then the target unit group is subjected to wake control based on the axial induction factor control strategy.

[0063] When the proportion of target units in a target unit group exceeds a certain threshold, the target unit group is considered to be significantly affected by turbulence, and wake control should be implemented for the target units taking turbulence conditions into full consideration. For example, when the proportion of target units in a target unit group exceeds 30%, wake control is implemented for the target unit group based on an axial inducible factor (AIM) control strategy. The AIM control strategy can effectively improve the power generation efficiency of the target unit group under conditions of high turbulence intensity and can avoid damage to the units caused by high-intensity turbulence wakes.

[0064] S205. If the proportion of the target units in the target unit group is less than or equal to the proportion threshold, then the target unit group is subject to wake control based on the wake redirection control strategy.

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

[0066] The wake control method for wind farms provided in this application divides the turbines within the wind farm into turbine groups based on the prevailing wind direction and turbine location, and performs targeted wake control on target turbine groups affected by wake interference. For target turbine groups with high turbulence intensity, an axial inducible factor control strategy is used for wake control, which can effectively improve the power generation efficiency of the target turbine group under high turbulence conditions and avoid damage to the turbines caused by high turbulence intensity wakes. For target turbine groups with low turbulence intensity, a wake redirection control strategy, which has a better effect on improving the power generation efficiency of the turbine group, is used for wake control. The wake control method for wind farms provided in this application fully combines the advantages of the axial inducible factor control strategy and the wake redirection control strategy to achieve site-specific wake control within the wind farm, effectively reduce wake interference in the wind farm, and improve the overall power generation efficiency of the wind farm.

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

[0068] 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 prevailing wind direction. If the power generation of the downstream turbines is less than that of the upstream turbines, the group is determined to be affected by the wake. If the power generation of the downstream turbines is greater than or equal to that of the upstream turbines, the group is determined to be unaffected by the wake.

[0069] Specifically, the power generation capacity of the generating units can be obtained based on historical power generation data within a preset time period, such as one year. Upstream units refer to the units closest to the prevailing wind direction among any two adjacent units in the generating group, while downstream units refer to the units furthest from the prevailing wind direction among any two adjacent units in the generating group. It is understandable that, ideally, the power generation capacity of the generating units in the group should be the same under the same wind conditions. If, under the same wind conditions, the power generation capacity of the generating units in the group decreases from upstream to downstream units, it indicates that the generating group is affected by wake ripples.

[0070] The wake control method for wind farms provided in this application scientifically determines whether a group of wind turbines is affected by wake based on the prevailing wind direction and the power generation capacity of the turbines, providing a basis for further wake control of the wind turbine group affected by wake.

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

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

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

[0074]

[0075] In the formula, x is the distance downstream of the generator unit. Let v be the upstream wind speed, v and r represent the wind speed and wake cross-sectional radius at a distance x meters downstream of the unit, respectively, and k be the wake spread factor. , It is the axial induction factor.

[0076] Assuming there are n units in the target unit group, the wind speed at the location of each unit can be determined using the wind speed expression above. ,i=1,2,…,n.

[0077] The power generation of the i-th unit is determined using the following formula. :

[0078]

[0079] in, Let i be the power generation capacity of the i-th generating unit, i = 1, 2, ..., n. Let be the air density, and r be the radius of the wake cross-section at the location of the generator unit. Let be the wind speed at the location of the i-th unit. , Let be the axial induction factor corresponding to the i-th wind turbine.

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

[0081]

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

[0083] The wake control method for wind farms provided in this application is based on an improved Jensen wake model. It can accurately calculate the optimal axial induction factor for each unit in the 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 of the target unit group, but also avoid fatigue damage to the units 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 for each unit in the target unit group is determined, and the optimal yaw angle maximizes the total power generation of the target unit group. The yaw angle of the turbine of the corresponding unit is adjusted according to the optimal yaw angle for each unit.

[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 for the downstream turbine wind speed based on the FLORIS yaw wake model is:

[0087]

[0088] In the formula, p is the wake region number of the unit, p=1,2,3;

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

[0090] V represents the free-flow wind speed undisturbed by the wake, that is, the incoming wind speed at a sufficient distance upstream of the unit that is not affected by the wake. i,j,p The expression is shown in the following formula:

[0091]

[0092] in, Let c be the axial induction factor corresponding to the i-th wind turbine. i The expression is as follows:

[0093]

[0094] c i y is the attenuation coefficient; j,p c represents the lateral distance from unit j to the boundary of region p, where p = 1, 2, 3; i,p D represents the attenuation coefficient in the p-region, where p = 1, 2, 3; i,j,p Let p be the wake diameter of region p, where p = 1, 2, 3. Its expression is:

[0095]

[0096] In the formula, m e,p m is the coefficient of thermal expansion. e,1 = 1, m e,2 = 0.22, m e,3 = -0.5.

[0097] The attenuation coefficient of region P is:

[0098]

[0099] In the formula m u,p Let m be the wake velocity influence factor in region p, where m u,1 = 0.5, m u,2 = 1, m u,3 = 5.5; b u For constants, where = 5, b u = 1.66; γ is the yaw angle.

[0100] When the aircraft yaws, its wake will deflect in the opposite direction of the yaw, and the wake deflection distance is y. x for:

[0101]

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

[0103] Considering the impact of yaw angle on the output power of wind turbines, the wind energy utilization coefficient C is... P Make the correction as shown in the following formula:

[0104]

[0105] In the formula, η and Pp are constants, with values ​​of η = 0.77 and Pp = 1.88, respectively. Let yaw angle be the yaw angle corresponding to the i-th unit.

[0106] The above calculations can yield the optimal yaw angle for each unit that maximizes the power generation of the target unit group.

[0107] The wake control method for wind farms provided in this application is based on the FLORIS yaw wake model. It establishes the relationship between the power generation of the target turbine group and the yaw angle of the turbines, and then accurately solves the optimal yaw angle corresponding to each turbine that maximizes the power generation of the target turbine group. Based on the optimal yaw angle of each turbine, the yaw angle of the turbine of the corresponding turbine is adjusted to achieve wake control of the target turbine group and improve the overall power generation of the target turbine group.

[0108] In one possible implementation, the unit group is determined in the following way:

[0109] A Cartesian coordinate system is established with a preset reference point as the origin, the prevailing wind direction as the x-axis, and the direction perpendicular to the prevailing wind direction as the y-axis. The target location of the unit in the Cartesian coordinate system is determined. Based on the target location point, a line connecting adjacent units is established in the Cartesian coordinate system. Adjacent units whose line connecting units is parallel to the x-axis and whose unit distance is less than a distance threshold are grouped into the same unit group. The distance threshold is the maximum distance between upstream and downstream units where wake interference exists.

[0110] Typically, the location information of a wind turbine is its latitude and longitude, which are spherical coordinates. However, wind farm layout requires planar distances. If the spacing between turbines is large, directly using spherical geometric methods results in high complexity and poor accuracy. Therefore, establishing a Cartesian coordinate system in the wind farm can simplify calculations, improve accuracy, and enhance compatibility with wake models.

[0111] In one implementation, when the prevailing wind direction of the wind farm changes, the coordinate axes of the Cartesian coordinate system rotate accordingly.

[0112] In a Cartesian coordinate system, establish a line connecting adjacent units. When the line connecting the units is parallel to the x-axis and the distance between the units is less than a distance threshold, the units on the line connecting the units are divided into the same unit group. The distance threshold is the maximum distance between upstream and downstream units where there is wake interference. For example, the distance threshold is ten times the diameter of the unit's fan.

[0113] The wake control method for wind farms provided in this application improves the accuracy of position calculation during wake control by establishing a Cartesian rectangular coordinate system in the wind farm and mapping the turbine positions to the Cartesian rectangular coordinate system. Based on the target position points of the turbines in the Cartesian rectangular coordinate system, the turbines are connected and divided into turbine groups, simplifying the turbine grouping problem in wake control and improving the convenience and pertinence of wake control implementation.

[0114] In one possible implementation, determining the target location of the unit in a Cartesian coordinate system includes:

[0115] Based on the location information of the turbines in the wind farm, establish a line connecting the turbines to the origin; determine the angle between the line and the x-axis using spherical trigonometry; and determine the target location of the turbines in the Cartesian coordinate system based on the angle and the distance between the turbines and the origin.

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

[0117]

[0118] in, The angle between the line connecting the two axes and the x-axis. , , The difference in longitude between the two points. , Given the latitude values ​​of two points, the distance between the computer group and the origin is calculated using the following formula:

[0119]

[0120] In the formula, s is the distance between the generator and the origin, and R represents the Earth's radius, which is approximately 6371 km. The difference in latitude between two points The difference in longitude between the two points is denoted as .

[0121] The wake control method for wind farms provided in this application maps the turbines to a Cartesian coordinate system, making subsequent turbine grouping and position calculations in the wake control process simpler and improving calculation accuracy.

[0122] Figure 3 This is a schematic diagram of the wake control device for a wind farm provided in an embodiment of this application. The wind farm includes at least one turbine group, and the connection lines between the turbines in the turbine group are parallel to the prevailing wind direction of the wind farm, such as... Figure 3 As shown, the wake control device 30 for wind farms provided in this embodiment includes:

[0123] The wake impact determination module 301 is used to determine whether any group of units in a wind farm is affected by 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 used to determine the units with turbulence intensity greater than the turbulence intensity threshold as target units;

[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 the target unit 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 the target unit in the target unit group is less than or equal to the proportion threshold.

[0127] In one possible implementation, the wake effect determination module 301 is specifically used for:

[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 prevailing wind direction.

[0129] If the power generation of the downstream units is less than that of the upstream units, then the unit group is determined to be affected by the wake.

[0130] If the power generation of the downstream units is greater than or equal to that of the upstream units, then the unit group is determined to be unaffected by the wake.

[0131] In one possible implementation, the control module 304 is specifically used for:

[0132] Based on the improved Jensen wake model, the optimal axial induction factor for 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] Based on the optimal axial induction factor for each unit, the turbine speed and blade pitch angle of the corresponding unit are adjusted.

[0134] In one possible implementation, the control module 304 is specifically used for:

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

[0136] Adjust the yaw angle of the turbine of the corresponding unit according to the optimal yaw angle for each unit.

[0137] The wake control device for wind farms provided in this embodiment can execute the method provided in the above-described method embodiments. Its implementation principle and technical effect are similar, and will not be described in detail here.

[0138] Figure 4 A schematic diagram of the wake control equipment for a 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 the wind farm also includes a communication interface 403. The processor 401, memory 402, and communication interface 403 are connected via a communication bus 404.

[0139] In a specific implementation, at least one processor 401 executes computer execution instructions stored in memory 402, causing at least one processor 401 to perform the above-described method.

[0140] The specific implementation process of processor 401 can be found in the above method embodiments, and its implementation principle and technical effect are similar. It will not be repeated here.

[0141] In the above embodiments, it should be understood that the processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in this invention can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules within 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 device.

[0143] The communication bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of illustration, the buses shown in the accompanying drawings are not limited to a single bus or a single type of bus.

[0144] This application also provides a computer program product, including a computer program that, when executed, implements the above-described method.

[0145] This application also provides a computer-readable storage medium storing computer-executable instructions, which, when executed, implement the above-described method.

[0146] The aforementioned readable storage medium can be implemented by any type of volatile or non-volatile storage 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 can be any available medium accessible to a general-purpose or special-purpose computer.

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

[0148] The division of units is merely a logical functional division; in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0149] The units described as separate components may or may not be physically separate. The 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 the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0150] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can 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 this invention, or the part that contributes to the prior art, or a part 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 to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0152] Those skilled in the art will understand that all or part of the steps of the above-described method embodiments can be implemented by hardware related to 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; and 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 other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This invention is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein, and is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the invention is limited only by the appended claims.

Claims

1. A wake control method for a wind farm, characterized in that, The wind farm includes at least one turbine group, and the connection line between the turbines in the turbine group is parallel to the prevailing wind direction of the wind farm. The wake control method includes: Determine whether any group of turbines corresponding to the wind farm is affected by wake; For a target unit group affected by wake, determine the turbulence intensity at the location of each unit in the target unit group; Units with turbulence intensity greater than the turbulence intensity threshold are identified as target units; If the proportion of target units in the target unit group is greater than the proportion threshold, then wake control is performed 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, then the target unit group is subject to wake control based on the wake redirection control strategy.

2. The wake control method according to claim 1, characterized in that, Determining whether any group of turbines corresponding to the wind farm is affected by wake includes: For any group of turbines in the wind farm, the turbines in the group are divided into upstream turbines and downstream turbines according to the prevailing wind direction. If the power generation of the downstream units is less than that of the upstream units, then the unit group is determined to be affected by the wake. If the power generation of the downstream units is greater than or equal to that of the upstream units, then the unit group is determined to be unaffected by the wake.

3. The wake control method for wind farms 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 for each unit in the target unit group is determined, and the optimal axial induction factor maximizes the total power generation of the target unit group. Based on the optimal axial induction factor corresponding to each unit, the turbine speed and blade pitch angle of the corresponding unit are adjusted.

4. The wake control method for wind farms 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 for each unit in the target unit group is determined, and the optimal yaw angle maximizes the total power generation of the target unit group. Adjust the yaw angle of the turbine of the corresponding unit according to the optimal yaw angle for each unit.

5. The wake control method according to claim 1 or 2, characterized in that, The unit group was determined in the following way: A Cartesian coordinate system is established with a preset reference point as the origin, the direction of the prevailing wind as the x-axis, and the direction perpendicular to the prevailing wind as the y-axis. Determine the target location of the unit in the Cartesian coordinate system; In the Cartesian coordinate system, based on the target location point, establish the connection line between adjacent units; Adjacent units whose connection line is parallel to the x-axis and whose distance is less than a distance threshold are grouped into the same unit group. The distance threshold is the maximum distance between upstream and downstream units where wake interference exists.

6. The wake control method according to claim 5, characterized in that, Determining the target position of the unit in the Cartesian coordinate system includes: Based on the location information of the turbines in the wind farm, establish a line connecting the turbines to the origin. Determine the angle between the connecting line and the x-axis using spherical trigonometry; Based on 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 includes at least one turbine group, the turbines in the turbine group are connected parallel to the prevailing wind direction of the wind farm, and the wake control device includes: The wake impact determination module is used to determine whether any group of turbines corresponding to the wind farm is affected by the wake. The 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. The target unit determination module is used to identify units with turbulence intensity greater than the turbulence intensity threshold as target units; 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.

8. A wake control device for a wind farm, characterized in that, include: Memory, processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory, causing the processor to perform the method as described in any one of claims 1-6.

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

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

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