Wake control system and method

Abstract

A wake control system and method are provided, the wake control system comprising: a wind measuring device for detecting the measured value of the incoming wind parameter of a predetermined wind turbine; a controller configured to: obtain the measured value of the incoming wind parameter of the predetermined wind turbine from the wind measuring device, determine the estimated value of the incoming wind parameter of the wind turbine according to the measured value of the incoming wind parameter of the predetermined wind turbine, determine the implementation optimization posture of the wind turbine according to the determined estimated value of the incoming wind parameter, and control the operation of the wind turbine based on the determined implementation optimization posture. The wake control system and method of the exemplary embodiment of the present invention can reduce the adverse effect of the difference in wind parameters of different units in the wind farm on the wake control, and at the same time, also consider the mutual influence between adjacent wind turbines, thereby reducing the wake reduction to increase the power generation of the entire wind farm.

Description

Technical Field

[0001] The present invention generally relates to the field of wind power generation technology, and more particularly, to a wake control system and method. Background Art

[0002] A wind turbine is a device that converts wind energy in flowing air into electrical energy. After the wind turbine absorbs part of the energy in the air and applies disturbance, a wake zone affected by the wind turbine will be formed downstream of the wind turbine. Compared with the free flow, the air speed in the wake zone decreases and the turbulence increases. Wind turbines in a wind farm will be affected by the wake of other nearby wind turbines, resulting in power generation loss, increased fatigue load, and affecting the service life of the wind turbine.

[0003] At present, the operating status of each wind turbine in a wind farm can be changed based on the incoming flow to achieve optimal control of a single wind turbine. However, the optimal control method for the operating status of a single wind turbine is not the optimal control method for the wind farm under the influence of the wake of adjacent wind turbines.

[0004] In order to reduce the adverse effects of wake in wind farms, the existing technology can increase the power generation of wind farms and reduce the load of wind turbines by adopting the method of wind farm optimization control. The core idea is to make some wind turbines in the wind farm, especially the upstream wind turbines, deviate from the optimal operating state, reduce the influence of the wake of the upstream wind turbines on the downstream wind turbines, increase the power generation of the downstream wind turbines, and finally increase the power generation of the entire wind farm, while reducing the load of the downstream wind turbines. Corresponding to the operating state of the wind turbines, the control method for making the wind turbines deviate from the optimal operating state may include changing the impeller speed, adjusting the yaw angle, and adjusting the blade pitch angle. Among them, adjusting the yaw angle can make the wake of the upstream wind turbine away from the downstream wind turbine, and the extreme state can make the downstream wind turbine completely out of the wake area of ​​the upstream wind turbine; reducing the impeller speed and increasing the blade pitch angle can reduce the wind energy capture of the upstream wind turbine, reduce the speed loss and turbulence in the wake area, and reduce the influence of the wake of the upstream wind turbine to a certain extent.

[0005] There are two main implementation schemes for the above-mentioned wind farm optimization control method. One scheme is to assume that the background wind flow field of the controlled wind farm or local wind farm is uniform, that is, if the wind turbine is not installed, the wind direction, wind speed and other wind parameters of each unit point are consistent. When implementing, the wind measurement data of the wind turbine in the upwind position that is not affected by the wake of other wind turbines is used as the control input data to determine the optimized operation state of each wind turbine. However, the conformity of the assumption of the uniformity of the background wind flow field will affect the implementation effect of the scheme. During actual on-site operation, even for a flat terrain wind farm, without considering the influence of the wind turbine, there are differences in wind parameters at different locations. Another scheme is to directly use the wind speed and wind direction measurement data of each wind turbine as the control input data, so as to independently determine the operating posture of each wind turbine itself without communicating with other wind turbines in the wind farm. This scheme is not affected by the differences in wind flow fields at different wind turbine locations in the wind farm, but it does not take into account the impact of the wind turbine wind measurement data on the wake of the upstream wind turbine. In addition, the operating status of adjacent wind turbines will affect the control effect of the current wind turbine. Summary of the invention

[0006] An object of exemplary embodiments of the present invention is to provide a wake control system and method to overcome at least one of the above-mentioned drawbacks.

[0007] In a general aspect, a wake control system is provided, comprising: a wind measuring device for detecting measured values ​​of incoming wind parameters of a predetermined wind turbine group; and a controller configured to: obtain the measured values ​​of the incoming wind parameters of the predetermined wind turbine group from the wind measuring device, determine estimated values ​​of the incoming wind parameters of the wind turbine group based on the measured values ​​of the incoming wind parameters of the predetermined wind turbine group, determine an implementation optimization posture of the wind turbine group based on the determined estimated values ​​of the incoming wind parameters, and control the operation of the wind turbine group based on the determined implementation optimization posture.

[0008] Optionally, the predetermined wind turbine group may include the wind turbine group, wherein the controller may be configured to: obtain the estimated value of the incoming wind parameter of the wind turbine group based on the actual measured value of the incoming wind parameter of the wind turbine group and the wake influence wind parameter table of the wind farm where the wind turbine group is located, and / or, predict the first incoming wind parameter value of the wind turbine group based on the actual measured value of the incoming wind parameter of the wind turbine group within a predetermined time period, and determine the predicted first incoming wind parameter value as the estimated value of the incoming wind parameter of the wind turbine group.

[0009] Optionally, the wake influence wind parameter table may include multiple wind parameter combinations and wind parameter influence values ​​of each wind turbine in the wind farm under the influence of wake under each wind parameter combination, wherein the controller may be configured to: search for the wind parameter influence value of the wind turbine that matches the measured value of the incoming wind parameter from the wake influence wind parameter table, and determine the wind parameter combination corresponding to the searched wind parameter influence value as the estimated value of the incoming wind parameter of the wind turbine.

[0010] Optionally, the predetermined wind turbine group includes an upstream wind turbine group of the wind turbine group, wherein the controller can be configured to: predict a second incoming wind parameter value of the wind turbine group based on an actual measured value of the incoming wind parameter of the upstream wind turbine group of the wind turbine group, and determine the predicted second incoming wind parameter value as the estimated value of the incoming wind parameter of the wind turbine group.

[0011] Optionally, the controller can determine the estimated value of the incoming wind parameter of the wind turbine group in the following manner: using the first incoming wind parameter and / or the second incoming wind parameter to correct the wind parameter combination determined based on the wake influence wind parameter table, and determining the corrected wind parameter combination as the estimated value of the incoming wind parameter of the wind turbine group; or, setting weight values ​​for the first incoming wind parameter, the second incoming wind parameter, and the wind parameter combination determined based on the wake influence wind parameter table, and determining the estimated value of the incoming wind parameter of the wind turbine group based on the first incoming wind parameter, the second incoming wind parameter, the wind parameter combination determined based on the wake influence wind parameter table, and their respective corresponding weight values.

[0012] Optionally, the controller may be configured to: determine a candidate optimization posture of the wind turbine generator set according to the determined estimated value of the incoming wind parameter; and determine an implementation optimization posture of the wind turbine generator set based on the determined candidate optimization posture.

[0013] Optionally, the controller can be configured to: based on the determined estimated value of the incoming wind parameter, search for a wind parameter combination that matches the estimated value of the incoming wind parameter from the unit optimization attitude table of the wind farm where the wind turbine is located, wherein the unit optimization attitude table includes a plurality of wind parameter combinations and a reference optimization attitude of each wind turbine in the wind farm under each wind parameter combination; and determine the reference optimization attitude of the wind turbine corresponding to the searched wind parameter combination as the candidate optimization attitude of the wind turbine.

[0014] Optionally, the controller can be configured to: determine the operating status of a downstream wind turbine affected by the wake of the wind turbine; determine the total power change trend of the wind turbine and the downstream wind turbine in normal operation; if the determined total power change trend indicates an increase in power, the determined candidate optimization posture is determined as the implementation optimization posture of the wind turbine.

[0015] Optionally, the downstream wind turbine group can be determined based on the wake impact power change table of the wind farm where the wind turbine group is located, and the total power change trend can be determined based on the wake impact power change table, wherein the wake impact power change table may include the downstream wind turbine groups affected by the wake of each wind turbine group in the wind farm and the power changes of the downstream wind turbine groups affected by the wake.

[0016] Optionally, the controller may determine the downstream wind turbine group affected by the wake of the wind turbine group in the following manner: determine the adjacent wind turbine group directly affected by the wake of the wind turbine group, and determine the determined adjacent wind turbine group as the downstream wind turbine group; and / or, the controller may determine the adjacent wind turbine group directly affected by the wake of the wind turbine group in one of the following manners: determine the adjacent wind turbine group through simulation based on a wake model, and determine the adjacent wind turbine group based on the spacing between the wind turbine groups and the wind direction deviation angle of each wind turbine group.

[0017] Optionally, the controller may obtain the multiple wind parameter combinations in the following manner: obtaining wind measurement data of a reference wind turbine in an upwind position in the wind farm that is not affected by the wake of other wind turbines; obtaining the multiple wind parameter combinations based on the obtained wind measurement data, and / or, the controller may obtain a wake impact wind parameter table, a unit optimization attitude table, and a wake impact power change table of the wind farm through simulation based on the wake model of the wind farm.

[0018] Optionally, the controller may be configured to: determine the implementation optimization posture of all wind turbines in the wind farm where the wind turbine is located; and control each wind turbine in the wind farm to operate according to the implementation optimization posture determined for each wind turbine.

[0019] Optionally, the controller can be configured to: group the wind turbines in the wind farm according to the wind direction to obtain multiple unit combinations, and determine the implementation optimization posture of each wind turbine in the multiple unit combinations in order from upwind direction to downwind direction; and / or, the controller can group the wind turbines based on the incoming wind direction sector in which the wind turbines are located, the spacing between the wind turbines, and the wind direction deviation angle of each wind turbine.

[0020] Optionally, the wind farm where the wind turbines are located may include a wind farm with complex terrain, wherein the controller may be configured to: determine a local flat area in the wind farm, and determine an optimized implementation posture of each wind turbine in the local flat area.

[0021] In another general aspect, a wake control method is provided, the wake control method comprising: determining measured values ​​of incoming wind parameters of a predetermined wind turbine group; determining estimated values ​​of incoming wind parameters of the wind turbine group based on the measured values ​​of the incoming wind parameters of the predetermined wind turbine group; determining an implementation optimization posture of the wind turbine group based on the determined estimated values ​​of the incoming wind parameters, so as to control the operation of the wind turbine group based on the determined implementation optimization posture.

[0022] Optionally, the predetermined wind turbine group may include the wind turbine group, wherein the step of determining the estimated value of the incoming wind parameter of the wind turbine group based on the actual measured value of the incoming wind parameter of the predetermined wind turbine group may include: obtaining the estimated value of the incoming wind parameter of the wind turbine group based on the actual measured value of the incoming wind parameter of the wind turbine group and the wake influence wind parameter table of the wind farm where the wind turbine group is located, and / or, predicting a first incoming wind parameter value of the wind turbine group based on the actual measured value of the incoming wind parameter of the wind turbine group within a predetermined time period, and determining the predicted first incoming wind parameter value as the estimated value of the incoming wind parameter of the wind turbine group.

[0023] Optionally, the wake influence wind parameter table may include multiple wind parameter combinations and wind parameter influence values ​​of each wind turbine in the wind farm under the influence of wake under each wind parameter combination, wherein, based on the measured value of the incoming wind parameter of the wind turbine and the wake influence wind parameter table of the wind farm where the wind turbine is located, the step of obtaining the estimated value of the incoming wind parameter of the wind turbine may include: searching for the wind parameter influence value of the wind turbine that matches the measured value of the incoming wind parameter from the wake influence wind parameter table, and determining the wind parameter combination corresponding to the searched wind parameter influence value as the estimated value of the incoming wind parameter of the wind turbine.

[0024] Optionally, the predetermined wind turbine group may include an upstream wind turbine group of the wind turbine group, wherein the step of determining the estimated value of the incoming wind parameter of the wind turbine group based on the actual measured value of the incoming wind parameter of the predetermined wind turbine group may include: predicting a second incoming wind parameter value of the wind turbine group based on the actual measured value of the incoming wind parameter of the upstream wind turbine group of the wind turbine group, and determining the predicted second incoming wind parameter value as the estimated value of the incoming wind parameter of the wind turbine group.

[0025] Optionally, the estimated value of the incoming wind parameter of the wind turbine group can be determined in the following manner: using the first incoming wind parameter value and / or the second incoming wind parameter value to correct the wind parameter combination determined based on the wake influence wind parameter table, and determining the corrected wind parameter combination as the estimated value of the incoming wind parameter of the wind turbine group; or, setting weight values ​​for the first incoming wind parameter value, the second incoming wind parameter value, and the wind parameter combination determined based on the wake influence wind parameter table, and determining the estimated value of the incoming wind parameter of the wind turbine group based on the first incoming wind parameter value, the second incoming wind parameter value, the wind parameter combination determined based on the wake influence wind parameter table, and their respective corresponding weight values.

[0026] Optionally, the step of determining the implementation optimization posture of the wind turbine group according to the determined estimated value of the incoming wind parameter may include: determining the candidate optimization posture of the wind turbine group according to the determined estimated value of the incoming wind parameter; and determining the implementation optimization posture of the wind turbine group based on the determined candidate optimization posture.

[0027] Optionally, according to the determined estimated value of the incoming wind parameter, the step of determining the candidate optimization posture of the wind turbine group may include: based on the determined estimated value of the incoming wind parameter, searching for a wind parameter combination that matches the estimated value of the incoming wind parameter from the unit optimization posture table of the wind farm where the wind turbine group is located, wherein the unit optimization posture table may include multiple wind parameter combinations and reference optimization postures of each wind turbine group in the wind farm under each wind parameter combination; determining the reference optimization posture of the wind turbine group corresponding to the searched wind parameter combination as the candidate optimization posture of the wind turbine group.

[0028] Optionally, based on the determined candidate optimization posture, the step of determining the implementation optimization posture of the wind turbine group may include: determining the operating status of the downstream wind turbine group affected by the wake of the wind turbine group; determining the total power change trend of the wind turbine group and the downstream wind turbine group in normal operation; if the determined total power change trend indicates an increase in power, the determined candidate optimization posture is determined as the implementation optimization posture of the wind turbine group.

[0029] Optionally, the downstream wind turbine group can be determined based on the wake impact power change table of the wind farm where the wind turbine group is located, and the total power change trend can be determined based on the wake impact power change table, wherein the wake impact power change table may include the downstream wind turbine groups affected by the wake of each wind turbine group in the wind farm and the power changes of the downstream wind turbine groups affected by the wake.

[0030] Optionally, the downstream wind turbine group affected by the wake of the wind turbine group can be determined in the following ways: determine the adjacent wind turbine group directly affected by the wake of the wind turbine group, and determine the determined adjacent wind turbine group as the downstream wind turbine group; and / or, the adjacent wind turbine group directly affected by the wake of the wind turbine group can be determined in one of the following ways: determine the adjacent wind turbine group through simulation based on a wake model, and determine the adjacent wind turbine group based on the spacing between the wind turbine groups and the wind direction deviation angle of each wind turbine group.

[0031] Optionally, the multiple wind parameter combinations can be obtained in the following ways: obtaining wind measurement data of a reference wind turbine in an upwind position in the wind farm that is not affected by the wake of other wind turbines; obtaining the multiple wind parameter combinations based on the acquired wind measurement data, and / or, based on the wake model of the wind farm, obtaining a wake impact wind parameter table, a unit optimization attitude table, and a wake impact power change table of the wind farm through simulation.

[0032] Optionally, the wake control method may further include: determining an optimized implementation posture of all wind turbines in the wind farm where the wind turbine is located; and controlling each wind turbine in the wind farm to operate according to the optimized implementation posture determined for each wind turbine.

[0033] Optionally, the wake control method may further include: grouping the wind turbines in the wind farm according to the wind direction propulsion direction to obtain multiple unit combinations, and determining the implementation optimization posture of each wind turbine in the multiple unit combinations in order from upwind direction to downwind direction; and / or, grouping the wind turbines based on the incoming wind direction sector in which each wind turbine is located, the spacing between the wind turbines, and the wind direction deviation angle of each wind turbine.

[0034] Optionally, the wind farm where the wind turbines are located may include a wind farm with complex terrain, wherein the wake control method may further include: determining a local flat area in the wind farm, and determining an optimized implementation posture of each wind turbine in the local flat area.

[0035] In another general aspect, a controller is provided, comprising: a processor; and a memory for storing a computer program, wherein the computer program implements the above-mentioned wake control method when executed by the processor.

[0036] In another general aspect, a computer-readable storage medium storing a computer program is provided, which implements the above-mentioned wake control method when executed by a processor.

[0037] The wake control system and method of the exemplary embodiment of the present invention can reduce the adverse effects of wind parameter differences at different unit locations in a wind farm on wake control. At the same time, the mutual influence between adjacent wind turbines is also taken into account, thereby reducing wake reduction and increasing the power generation of the entire wind farm. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The above and other objects, features and advantages of exemplary embodiments of the present invention will become more apparent from the following detailed description taken in conjunction with the accompanying drawings which exemplarily illustrate exemplary embodiments.

[0039] Figure 1A schematic structural diagram of a wind turbine generator system according to an exemplary embodiment of the present invention is shown;

[0040] Figure 2 A block diagram showing a wake control system according to an exemplary embodiment of the present invention;

[0041] Figure 3 A flow chart showing a wake control method according to an exemplary embodiment of the present invention;

[0042] Figure 4 A flow chart showing steps of determining an optimized posture for implementing a wind turbine according to an exemplary embodiment of the present invention;

[0043] Figure 5 A flow chart showing steps of evaluating candidate optimized postures of a wind turbine according to an exemplary embodiment of the present invention;

[0044] Figure 6 A block diagram of a controller according to an exemplary embodiment of the present invention is shown. DETAILED DESCRIPTION

[0045] Various example embodiments will now be described more fully with reference to the accompanying drawings, in which some example embodiments are shown.

[0046] Figure 1 A structural schematic diagram of a wind turbine generator set according to an exemplary embodiment of the present invention is shown.

[0047] like Figure 1 As shown, the wind turbine 1 includes a tower 2, a nacelle 3 and an impeller 4, wherein the impeller 4 includes a hub 5 and blades 6. When the wind turbine is running, a wind measuring device 7 (for example, including but not limited to an anemometer, a wind vane or a laser radar, etc.) arranged on the nacelle 3 is used to measure the wind parameters of the incoming flow 8, and the operating state of a single wind turbine is determined by a control system (not shown), and the operating state of the wind turbine is changed by adjusting the speed of the impeller 4 rotating around the rotating shaft 9, rotating the nacelle 3 around the yaw axis 10 to adjust the yaw angle, and rotating the blades 6 around the pitch axis 11 to adjust the blade pitch angle.

[0048] Figure 2 A block diagram of a wake control system according to an exemplary embodiment of the present invention is shown.

[0049] like Figure 2 As shown, a wake control system 100 according to an exemplary embodiment of the present invention includes: a wind measuring device 101 and a controller 102 .

[0050] Specifically, the wind measuring device 101 is used to detect the measured value of the incoming wind parameter of the predetermined wind turbine group. As an example, the measured value of the incoming wind parameter may include but is not limited to relevant wind parameters such as wind direction, wind speed, and turbulence intensity.

[0051] In one case, the predetermined wind turbine group refers to the wind turbine group itself equipped with the wake control system 100 .

[0052] In this case, the wind measuring device 101 may be a wind measuring device that is arranged on the wind turbine set and is used to detect the actual measured value of the incoming wind parameter of the wind turbine set.

[0053] In another case, the predetermined wind turbine group refers to an upstream wind turbine group of the wind turbine group.

[0054] In this case, the wind measuring device 101 may be a wind measuring device disposed on an upstream wind turbine group of the wind turbine group, and used for detecting the actual measured value of the incoming wind parameter of the upstream wind turbine group.

[0055] Figure 3 A flow chart of a wake control method according to an exemplary embodiment of the present invention is shown.

[0056] here, Figure 3 The wake control method shown can be found in Figure 2 The controller 102 shown in FIG. 1 is executed, that is, the wake control method of the exemplary embodiment of the present invention is executed by the controller 102. Figures 2 to 5 The specific process of wake control according to the exemplary embodiment of the present invention is introduced.

[0057] Reference Figure 3 In step S10, the measured value of the incoming wind parameter of the predetermined wind turbine group is determined.

[0058] For example, the controller 102 may obtain the measured value of the incoming wind parameter of the predetermined wind turbine group from the wind measuring device 101 .

[0059] In step S20, an estimated value of the incoming wind parameter of the wind turbine set is determined according to the measured value of the incoming wind parameter of the predetermined wind turbine set.

[0060] The following describes the process of determining the estimated value of the incoming wind parameter of the wind turbine set for two situations where the predetermined wind turbine set is the wind turbine set and the upstream wind turbine set of the wind turbine set.

[0061] In the first embodiment, the estimated value of the wind flow parameter of the wind turbine is determined for the case where the predetermined wind turbine is a wind turbine. At this time, the estimated value of the wind flow parameter can be obtained according to the measured value of the wind flow parameter of each wind turbine and used in the wake control of each wind turbine.

[0062] In the first example, the estimated value of the incoming wind parameter of the wind turbine can be determined based on the wake influence wind parameter table of the wind farm where the wind turbine is located. Here, the wind farm may include but is not limited to at least one upstream wind turbine and at least one downstream wind turbine affected by its wake.

[0063] For example, the estimated value of the incoming wind parameter of the wind turbine can be obtained based on the measured value of the incoming wind parameter of the wind turbine and the table of the wind parameter of the wake influence of the wind farm. As an example, the table of the wind parameter of the wake influence may include a plurality of wind parameter combinations and the wind parameter influence values ​​of each wind turbine in the wind farm under the influence of the wake under each wind parameter combination, that is, each wind parameter combination corresponds to the wind parameter influence value of each wind turbine in the wind farm under the influence of the wake.

[0064] Specifically, the wind parameter influence value of the wind turbine that matches the measured value of the incoming wind parameter of the wind turbine can be searched from the wake influence wind parameter table of the wind farm, and the wind parameter combination corresponding to the searched wind parameter influence value can be determined as the estimated value of the incoming wind parameter of the wind turbine.

[0065] Here, it should be understood that the matching of the measured value of the incoming wind parameter and the wind parameter influence value may mean that the deviation between the two is within a preset deviation range, and it does not require that the values ​​of the two are completely consistent to be matched.

[0066] In an optional example, multiple wind parameter combinations may be obtained by obtaining wind measurement data of a reference wind turbine in an upwind position in the wind farm that is not affected by the wake of other wind turbines, and obtaining multiple wind parameter combinations based on the obtained wind measurement data.

[0067] For example, the wind measurement data may include multiple wind parameters of a reference wind turbine obtained within a predetermined time period, determine the fluctuation range of each wind parameter in the obtained wind measurement data, and extract wind parameters from the fluctuation range of each wind parameter to obtain multiple wind parameter combinations. Here, various data extraction methods can be used to obtain multiple wind parameter combinations.

[0068] In an optional example, the wake influence wind parameter table may be obtained in the following manner: based on a wake model of the wind farm, the wake influence wind parameter table of the wind farm is obtained through simulation.

[0069] Before on-site implementation, it can be assumed that the wind farm or wind farm sub-area is in a wind farm flow field with uniform wind parameters, that is, in the absence of wind turbines, the wind parameters of each turbine point are the same. Under this assumption, the wind direction, wind speed, turbulence intensity and other wind parameters of each wind turbine are obtained according to the wake model (or other numerical simulation methods), and the implementation optimization posture of each wind turbine is determined to maximize the total power of the wind turbines in the wind farm or wind farm sub-area under the wind parameters.

[0070] In an exemplary embodiment of the present invention, the following results can be obtained through simulation:

[0071] (1) Table of wind parameters affecting the wake of wind farms.

[0072] As an example, the wake influence wind parameter table may include multiple wind parameter combinations and wind parameter influence values ​​of each wind turbine in the wind farm under the influence of the wake in each wind parameter combination.

[0073] (2) Optimized attitude table of wind farm units.

[0074] As an example, the unit optimization attitude table may include multiple wind parameter combinations and reference optimization attitudes of each wind turbine in the wind farm under each wind parameter combination. That is, each wind parameter combination corresponds to a reference optimization attitude of each wind turbine, and the reference optimization attitude may include but is not limited to impeller speed, yaw angle, and blade pitch angle.

[0075] (3) Table of power changes affected by the wake of wind farms.

[0076] As an example, the wake-affected power change table includes downstream wind turbines affected by the wake of each wind turbine in the wind farm and power changes of the downstream wind turbines affected by the wake.

[0077] In a preferred example, the wake effect wind parameter table, unit optimization attitude table, and wake effect power change table of the wind farm obtained by simulation can be regularly or irregularly revised based on actual operating conditions and / or based on field operating data.

[0078] In addition, the wake model or other simulation methods can also correct the model parameters based on a period of field operation data, and obtain a new wake impact wind parameter table, unit optimization attitude table, and wake impact power change table based on the corrected model.

[0079] In the second example, the prediction may be performed based on the measured values ​​of the incoming wind parameters of the wind turbine generator system.

[0080] For example, a first inflow wind parameter value of the wind turbine set may be predicted based on the measured value of the inflow wind parameter of the wind turbine set within a predetermined time period, and the predicted first inflow wind parameter value may be determined as the inflow wind parameter estimated value of the wind turbine set.

[0081] Here, the predetermined time period may refer to a time period before the current moment, and various wind parameter prediction methods may be used to predict the first incoming wind parameter value based on the measured value of the incoming wind parameter within the predetermined time period, and the present invention does not limit this.

[0082] In the second embodiment, in the case where the predetermined wind turbine is an upstream wind turbine of the wind turbine, the estimated value of the incoming wind parameter of the wind turbine is determined. For example, the prediction can be made based on the measured value of the incoming wind parameter of the upstream wind turbine of the wind turbine.

[0083] Specifically, according to the measured value of the inflow wind parameter of the upstream wind turbine group, a second inflow wind parameter value of the wind turbine group is predicted, and the predicted second inflow wind parameter value is determined as the inflow wind parameter estimated value of the wind turbine group.

[0084] Here, various wind parameter prediction methods may be used to predict the second incoming wind parameter value based on the measured value of the incoming wind parameter of the upstream wind turbine generator set, and the present invention does not limit this.

[0085] In an optional example, the first incoming wind parameter value and / or the second incoming wind parameter value may be used to correct the wind parameter combination determined based on the wake impact wind parameter table, and the corrected wind parameter combination may be determined as the incoming wind parameter estimation value of the wind turbine.

[0086] Here, various parameter correction methods may be used to correct the wind parameter combination, and the present invention does not limit this.

[0087] In another optional example, weight values ​​can be set for the first incoming wind parameter value, the second incoming wind parameter value, and the wind parameter combination determined based on the wake influence wind parameter table, respectively, and the estimated value of the incoming wind parameter of the wind turbine set is determined based on the first incoming wind parameter value, the second incoming wind parameter value, the wind parameter combination determined based on the wake influence wind parameter table, and their respective corresponding weight values.

[0088] For example, the weighted sum of the first incoming wind parameter value, the second incoming wind parameter value, the wind parameter combination determined based on the wake influence wind parameter table, and their respective corresponding weight values ​​can be determined as the estimated incoming wind parameter value of the wind turbine generator set.

[0089] In step S30, the optimized implementation posture of the wind turbine generator set is determined according to the determined estimated value of the incoming wind parameter, so as to control the operation of the wind turbine generator set based on the determined optimized implementation posture.

[0090] In one example, the optimized posture control is performed immediately.

[0091] For example, after the implementation optimization posture of the wind turbine generator set is determined, the determined implementation optimization posture may be sent to the wind turbine generator set to control the wind turbine generator set to operate according to the determined implementation optimization posture.

[0092] In another example, the control is performed after the optimized postures of all wind turbines in the wind farm are determined.

[0093] For example, the implementation optimization posture of all wind turbines in the wind farm where the wind turbine is located can be determined, and the determined implementation optimization posture can be sent to the corresponding wind turbines respectively to control each wind turbine in the wind farm to operate according to the implementation optimization posture determined for each wind turbine.

[0094] Here, the above steps can be performed for each wind turbine in the wind farm. Figure 3 The wake control method shown is used to determine the optimal posture for all wind turbines.

[0095] In an optional example, the above-mentioned wake control method may also include: if the optimization strategy for wake control is determined based on the current wind parameters of the wind turbine and the reference optimization attitude of the wind turbine in the unit optimization attitude table, the current wind turbine should be operated at the optimal power generation attitude, including the wind angle (facing the wind), rotation speed, blade pitch angle, etc., indicating that the wake control target of the wind turbine is consistent with the control target of the single-machine control strategy of the wind turbine. In this case, there is no need to apply additional control based on wake control, that is, there is no need to send the determined implementation optimization attitude to the wind turbine.

[0096] In the above optional examples, it is believed that the original single-machine control strategy can make the wind turbine operate in the optimal power generation posture or the deviation is within an acceptable range. However, under the complex wind conditions on site, the single-machine control strategy itself will also have certain deviations, resulting in a certain deviation between the wind turbine and the optimal power generation posture under the single-machine control strategy. At this time, the deviation needs to be corrected.

[0097] For example, when determining that the optimization strategy according to wake control should make the current wind turbine set operate in the optimal power generation posture, it is also necessary to determine whether the wind turbine set is currently in the optimal power generation posture. If the wind turbine set is not currently in the optimal power generation posture, the determined implementation optimization posture will be sent to the wind turbine set. If the wind turbine set is currently in the optimal power generation posture, there is no need to send the determined implementation optimization posture to the wind turbine set.

[0098] Figure 4 A flow chart showing steps of determining an optimized posture for a wind turbine according to an exemplary embodiment of the present invention.

[0099] Reference Figure 4 In step S301, the candidate optimization posture of the wind turbine is determined according to the determined estimated value of the incoming wind parameter.

[0100] In one example, based on the determined estimated value of the incoming wind parameter, a wind parameter combination matching the estimated value of the incoming wind parameter is searched from the unit optimization posture table of the wind farm where the wind turbine is located, and the reference optimization posture of the wind turbine corresponding to the searched wind parameter combination is determined as the candidate optimization posture of the wind turbine.

[0101] Here, it should be understood that the matching of the estimated value of the incoming wind parameter and the wind parameter combination may mean that the deviation between the two is within a preset deviation range, and it does not mean that the values ​​of the two need to be completely consistent to be matched.

[0102] In step S302, based on the determined candidate optimization postures, an implementation optimization posture of the wind turbine is determined.

[0103] Optionally, the determined candidate optimization posture can be directly determined as the implementation optimization posture of the wind turbine set. In addition, in a preferred example, the candidate optimization postures of the wind turbine set can also be evaluated, and the candidate optimization posture that meets the evaluation requirements can be determined as the implementation optimization posture of the wind turbine set.

[0104] Figure 5 A flow chart showing steps of evaluating candidate optimized postures of a wind turbine according to an exemplary embodiment of the present invention.

[0105] Reference Figure 5 In step S401, the operating state of the downstream wind turbine generator set affected by the wake of the wind turbine generator set is determined.

[0106] For example, the downstream wind turbine generator set affected by the wake of the wind turbine generator set may be determined according to a wake influence power variation table of the wind farm where the wind turbine generator set is located.

[0107] In a preferred example, an adjacent wind turbine generator set directly affected by the wake of the wind turbine generator set may be determined as a downstream wind turbine generator set of the wind turbine generator set.

[0108] That is to say, when evaluating the candidate optimization posture, only the operating status of the wind turbines directly affected by the wake of the current wind turbine can be used as the standard, and the wind turbines indirectly affected by the wake of the current wind turbine are not used in the evaluation of the candidate optimization posture. Here, the wind turbine indirectly affected by the wake refers to the wind turbine that is not directly affected by the wake of the current wind turbine, but is in the wake area affected by the wake of the current wind turbine.

[0109] In an exemplary embodiment of the present invention, the downstream wind turbines affected by the wake of the current wind turbine are determined based on the strength of the wake influence (measured wind parameters of the wind turbines), and the necessity of implementing control is determined.

[0110] For example, adjacent wind turbines that are directly affected by the wake of the wind turbine may be determined, and the determined adjacent wind turbines may be determined as downstream wind turbines.

[0111] As an example, adjacent wind turbines directly affected by the wake of the wind turbine may be determined by one of the following methods: determining adjacent wind turbines by simulation based on a wake model or other numerical simulation methods, or determining adjacent wind turbines based on the spacing between the wind turbines and the wind direction deviation angle of each wind turbine.

[0112] In the second method of determining adjacent wind turbines, other wind turbines within a certain distance range of the current wind turbine can be first obtained. As an example, this distance can be set to 15 times the rotor diameter of the current wind turbine. Then, the direction of the connection between the current wind turbine and other wind turbines is calculated. If a certain other wind turbine is downstream of the current wind direction of the current wind turbine, and the direction deviation between the connection line between the units and the wind direction of the current wind turbine is within a certain range, it can be considered that the certain other wind turbine is affected by the wake of the current wind turbine. As an example, this direction deviation range can be set to ±15 degrees.

[0113] After determining the combination of one or more other wind turbines affected by the wake of the current wind turbine in the above manner, the relative relationship between these wind turbines is determined. If one of the other wind turbines is affected by the wake of one or more wind turbines other than the current wind turbine in the combination, then the one of the other wind turbines is indirectly affected by the wake of the current wind turbine. If one of the other wind turbines is not affected by the wake of one or more wind turbines other than the current wind turbine in the combination, then the one of the other wind turbines is directly affected by the wake of the current wind turbine.

[0114] In step S402, the total power variation trend of the wind turbine generator set and the downstream wind turbine generator set in normal operation is determined.

[0115] For example, the total power variation trend of the wind turbines and downstream wind turbines in normal operation can be determined according to the wake influence power variation table of the wind farm.

[0116] Here, the wake influence power change table may include all downstream wind turbines affected by the wake of the wind turbine, or may only include downstream wind turbines directly affected by the wind turbine. In this case, the above process of determining the wind turbines directly affected by the wake of the wind turbine and indirectly affected by the wake of the wind turbine may be omitted.

[0117] In one example, the operating status word of each downstream wind turbine generator set may be obtained to determine whether the operating status of each downstream wind turbine generator set is in a normal state or an abnormal state (such as failure / shutdown).

[0118] After determining the downstream wind turbine affected by the wake of the wind turbine, the power change of the downstream wind turbine in normal operation affected by the wake of the wind turbine is searched from the wake impact power change table. The numerical value of the power change indicates the magnitude of the power change, and the positive or negative value of the power change indicates the direction of the power change. For example, a positive power change indicates a power increase, and a negative power change indicates a power decrease.

[0119] In step S403, it is determined whether the total power change trend indicates a power increase.

[0120] For example, the power changes of each wind turbine set searched from the wake influence power change table can be added. If the addition result is positive, it indicates that the total power change trend is indicating an increase in power. If the addition result is negative, it indicates that the total power change trend is indicating a decrease in power.

[0121] If the determined total power change trend indicates that the power increases, step S404 is executed: the determined candidate optimization posture is determined as the implementation optimization posture of the wind turbine generator set.

[0122] If the determined total power variation trend indicates a power decrease, the measured value of the incoming wind parameter can be re-acquired, and the candidate optimization posture of the wind turbine set can be re-determined for evaluation.

[0123] In an optional example of the present invention, the wind turbines in the wind farm can be grouped according to the wind direction to obtain multiple unit combinations, and the implementation optimization posture of each wind turbine in the multiple unit combinations can be determined in sequence from upwind to downwind.

[0124] Here, the above steps can be performed on each wind turbine in each unit combination in the order from upwind to downwind. Figure 3 The wake control method shown in the figure is used to determine the optimized posture of each wind turbine. In this case, the wind turbine in the upwind position in each turbine combination that is not affected by the wake of other wind turbines can be determined as the reference wind turbine under the turbine combination, but the present invention is not limited thereto, and the reference wind turbine of the wind farm can also be used as the reference wind turbine for each turbine combination.

[0125] In one example, the wind turbines may be grouped based on the incoming wind direction sector where each wind turbine is located, the spacing between each wind turbine, and the wind direction deviation angle of each wind turbine.

[0126] For example, according to the arrangement of the units, the wind farm is divided into different groups according to the wind direction, and the process is carried out in sequence from upwind to downwind. Generally, when the incoming airflow is in different wind direction sectors, different unit grouping combinations need to be set. For example, in the direction of the incoming airflow sector, the unit spacing is used as the main basis for the division of different unit combinations, and the direction of the line connecting the spatial positions of the two wind turbines is used to determine whether the relative positions of the two wind turbines are consistent with the incoming airflow direction. If the deviation angle between the unit connection direction and the incoming airflow direction is within a certain range, the two directions can be considered to be consistent. As an example, the wind direction deviation angle can be set within a range of ±15 degrees. Multiple wind turbines whose spacing in the incoming airflow sector direction is less than a certain range can be divided into the same unit combination. As an example, this spacing can be set to 15 times the impeller diameter of the upstream wind turbine.

[0127] For wind turbines in the same unit combination, the wind turbine located most upstream in the incoming wind direction can be used as the reference wind turbine of this unit combination. When judging subsequent wind turbines, if the direction and distance between the subsequent wind turbine and any one or more existing wind turbines in the unit combination meet the above direction and distance requirements, the subsequent wind turbine will be assigned to this unit combination.

[0128] As an example, the wind farm where the wind turbine is located includes any one of the following items: a wind farm in flat terrain, an offshore wind farm, and a wind farm in complex terrain.

[0129] That is to say, for land wind farms with flat terrain and offshore wind farms, the above-mentioned wake control method can be used to implement wake control for each wind turbine set. For wind farms with complex terrain, when the wake impact of some sector units is large, local sector wake control can be implemented.

[0130] For example, in the case where the wind farm where the wind turbines are located is a wind farm with complex terrain, a local flat area in the wind farm may be determined, and the implementation optimization posture of each wind turbine in the local flat area may be determined.

[0131] That is to say, in wind farms with complex terrain, for local sector wake control, it is generally required that the local terrain between two or more wind turbines is flat. The so-called local terrain generally refers to the horizontal plane within a certain distance range perpendicular to the center line with the spatial position connection line of the two wind turbines as the center as the local terrain of the two wind turbines. As an example, the distance range can be set to 3 times the diameter of the impeller. The so-called local flat terrain refers to the fact that within the above-mentioned local terrain range, the terrain height change is small (such as the terrain height change is not greater than 10 meters) and the terrain slope is small (such as the terrain slope is within the range of 0-5° or 0-2.5°). For multiple wind turbines that are close to each other within the incoming wind direction sector, any two wind turbines between the multiple wind turbines are required to meet the above-mentioned local terrain flatness conditions. Within the sector range of the incoming wind direction, it means that the deviation between the spatial position line of the wind turbine and the incoming wind direction is within a certain range (as an example, the direction deviation can be set to ±15 degrees) and the distance is relatively close (it means that the distance between units is within a certain range, as an example, the distance range can be set to 15 times the impeller diameter).

[0132] Figure 6 A block diagram of a controller according to an exemplary embodiment of the present invention is shown.

[0133] like Figure 6 As shown, the controller 200 according to the exemplary embodiment of the present invention includes: a processor 201 and a memory 202 .

[0134] Specifically, the memory 202 is used to store a computer program, which implements the above-mentioned wake control method when executed by the processor 201.

[0135] here, Figure 3 The wake control method shown can be found in Figure 6 The processor 201 is shown as executing. Figure 6 The controller in can be implemented as Figure 2 The controller 102 shown in FIG. 1 is applied in the wake control system 100. As an example, the controller 200 may be implemented as a controller of a wind farm.

[0136] According to an exemplary embodiment of the present invention, a computer-readable storage medium storing a computer program is also provided. The computer-readable storage medium stores a computer program that causes the processor to perform the above-mentioned wake control method when executed by the processor. The computer-readable recording medium is any data storage device that can store data read out by a computer system. Examples of computer-readable recording media include: read-only memory, random access memory, read-only optical disk, magnetic tape, floppy disk, optical data storage device, and carrier wave (such as data transmission through the Internet via a wired or wireless transmission path).

[0137] The wake control system and method according to the exemplary embodiment of the present invention can effectively reduce the adverse effects of the differences in wind parameters of units at different unit locations on the realization of the wake control effect. At the same time, it also comprehensively considers the mutual influence of adjacent wind turbines, which is conducive to the effective implementation of the wake control scheme, reduces the wake reduction, and increases the power generation of the entire wind farm.

[0138] The wake control system and method according to the exemplary embodiments of the present invention improve the application scope of the wake control scheme and can also achieve better control effects on local complex terrain and local complex wind parameter characteristics.

[0139] According to the wake control system and method of the exemplary embodiment of the present invention, the control can be performed according to the wind parameters of the wind turbine itself, while comprehensively considering the influence between the wind turbines in the wind farm.

[0140] While the invention has been particularly shown and described with reference to exemplary embodiments thereof, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the claims.

Claims

1. A wake control system, characterized in that: The wake control system comprises: Wind measuring equipment, used to detect the measured values ​​of the incoming wind parameters of the predetermined wind turbines; The controller is configured as: Obtaining the measured value of the incoming wind parameter of the predetermined wind turbine group from the wind measuring equipment, Determine the estimated value of the wind parameter of the wind turbine according to the measured value of the wind parameter of the predetermined wind turbine, wherein the predetermined wind turbine includes the wind turbine and an upstream wind turbine of the wind turbine, According to the determined estimated value of the incoming wind parameter, the optimized implementation posture of the wind turbine generator set is determined, so as to control the operation of the wind turbine generator set based on the determined optimized implementation posture. The controller is configured to: predict a first inflow wind parameter value of the wind turbine group according to the measured value of the inflow wind parameter of the wind turbine group within a predetermined time period, and predict a second inflow wind parameter value of the wind turbine group according to the measured value of the inflow wind parameter of the upstream wind turbine group of the wind turbine group, The controller determines the estimated value of the incoming wind parameter of the wind turbine generator set in the following manner: By using the first inflow wind parameter value and the second inflow wind parameter value, a wind parameter combination corresponding to the measured value of the inflow wind parameter of the wind turbine set, which is determined based on the wake influence wind parameter table of the wind farm where the wind turbine set is located, is corrected, and the corrected wind parameter combination is determined as the estimated value of the inflow wind parameter of the wind turbine set. Alternatively, a weight value is set for the first incoming wind parameter value, the second incoming wind parameter value, and a wind parameter combination corresponding to the actual measured value of the incoming wind parameter of the wind turbine group determined based on the wake influence wind parameter table; and an estimated value of the incoming wind parameter of the wind turbine group is determined based on the first incoming wind parameter value, the second incoming wind parameter value, and a wind parameter combination corresponding to the actual measured value of the incoming wind parameter of the wind turbine group determined based on the wake influence wind parameter table and their respective corresponding weight values.

2. The wake control system according to claim 1, characterized in that: The wake influence wind parameter table includes a plurality of wind parameter combinations and wind parameter influence values ​​of each wind turbine in the wind farm under the influence of the wake under each wind parameter combination. The controller is configured to search the wake influence wind parameter table for the wind parameter influence value of the wind turbine generator set that matches the measured value of the incoming wind parameter, and determine the wind parameter combination corresponding to the searched wind parameter influence value.

3. The wake control system according to claim 1, characterized in that: The controller is configured as: Determining a candidate optimized posture of the wind turbine generator set according to the determined estimated value of the incoming wind parameter; Based on the determined candidate optimization postures, an implementation optimization posture of the wind turbine generator system is determined.

4. The wake control system according to claim 3, characterized in that: The controller is configured as: Based on the determined estimated value of the incoming wind parameter, searching for a wind parameter combination that matches the estimated value of the incoming wind parameter from a unit optimization attitude table of the wind farm where the wind turbine is located, wherein the unit optimization attitude table includes a plurality of wind parameter combinations and a reference optimization attitude of each wind turbine in the wind farm under each wind parameter combination; The reference optimized posture of the wind turbine generator set corresponding to the searched wind parameter combination is determined as the candidate optimized posture of the wind turbine generator set.

5. The wake control system according to claim 3, characterized in that: The controller is configured as: Determining the operating status of a downstream wind turbine generator set affected by the wake of the wind turbine generator set; Determine the total power change trend of the wind turbine generator set and downstream wind turbine generator sets in normal operation; If the determined total power variation trend indicates that the power increases, the determined candidate optimization posture is determined as the implementation optimization posture of the wind turbine generator system.

6. The wake control system according to claim 5, characterized in that: The downstream wind turbine generator set is determined according to the wake influence power change table of the wind farm where the wind turbine generator set is located, and the total power change trend is determined according to the wake influence power change table. The wake-affected power change table includes downstream wind turbines affected by the wake of each wind turbine in the wind farm and power changes of the downstream wind turbines affected by the wake.

7. The wake control system according to claim 5, characterized in that: The controller determines the downstream wind turbines affected by the wake of the wind turbine in the following manner: Determine an adjacent wind turbine group that is directly affected by the wake of the wind turbine group, and determine the determined adjacent wind turbine group as the downstream wind turbine group; And / or, the controller determines the adjacent wind turbines directly affected by the wake of the wind turbine by one of the following methods: Determine the adjacent wind turbines through simulation based on the wake model, The adjacent wind turbine sets are determined based on the spacing between the wind turbine sets and the wind direction deviation angles of the wind turbine sets.

8. The wake control system according to claim 2 or 4, characterized in that: The controller obtains the multiple wind parameter combinations in the following manner: Obtaining wind measurement data of a reference wind turbine set in the wind farm that is located upwind and is not affected by wake vortices of other wind turbine sets; The plurality of wind parameter combinations are obtained based on the acquired wind measurement data, And / or, the controller obtains the wake impact wind parameter table, the unit optimization attitude table, and the wake impact power change table of the wind farm through simulation based on the wake model of the wind farm.

9. The wake control system according to claim 1, characterized in that: The controller is configured as: Determining the implementation optimization posture of all wind turbines in the wind farm where the wind turbine is located; Each wind turbine in the wind farm is controlled to operate according to the optimized posture determined for each wind turbine.

10. The wake control system according to claim 1, characterized in that: The controller is configured as: According to the wind direction, the wind turbines in the wind farm are grouped to obtain multiple unit combinations. Determining the optimized posture of each wind turbine generator set in the plurality of turbine generator sets in sequence from upwind to downwind; And / or, the controller groups the wind turbines based on the incoming wind direction sector where each wind turbine is located, the spacing between the wind turbines, and the wind direction deviation angle of each wind turbine.

11. The wake control system according to claim 1, characterized in that: The wind farm where the wind turbine generator set is located includes a wind farm with complex terrain. The controller is configured as follows: determining a local flat area in the wind farm, Determine the optimized posture of each wind turbine generator set in the local flat area.

12. A wake control method, characterized in that: The wake control method comprises: Determine the measured value of the incoming wind parameter of the predetermined wind turbine; Determine the estimated value of the incoming wind parameter of the wind turbine group according to the measured value of the incoming wind parameter of the predetermined wind turbine group, wherein the predetermined wind turbine group includes the wind turbine group and an upstream wind turbine group of the wind turbine group; According to the determined estimated value of the incoming wind parameter, the optimized implementation posture of the wind turbine generator set is determined, so as to control the operation of the wind turbine generator set based on the determined optimized implementation posture. Wherein, the step of determining the estimated value of the wind flow parameter of the wind turbine set according to the measured value of the wind flow parameter of the predetermined wind turbine set comprises: Predicting a first inflow wind parameter value of the wind turbine generator set according to an actual measured value of an inflow wind parameter of the wind turbine generator set within a predetermined time period; Predicting a second inflow wind parameter value of the wind turbine group according to an actual measured value of an inflow wind parameter of an upstream wind turbine group of the wind turbine group; By using the first incoming wind parameter value and the second incoming wind parameter value, a wind parameter combination corresponding to the actual measured value of the incoming wind parameter of the wind turbine group, which is determined based on the wake influence wind parameter table of the wind farm where the wind turbine group is located, is corrected, and the corrected wind parameter combination is determined as the estimated value of the incoming wind parameter of the wind turbine group. Alternatively, a weight value is set for the first incoming wind parameter value, the second incoming wind parameter value, and the wind parameter combination corresponding to the actual measured value of the incoming wind parameter of the wind turbine group, and the estimated value of the incoming wind parameter of the wind turbine group is determined based on the first incoming wind parameter value, the second incoming wind parameter value, the wind parameter combination corresponding to the actual measured value of the incoming wind parameter of the wind turbine group, which is determined based on the wake influence wind parameter table, and their respective corresponding weight values.

13. The wake control method according to claim 12, characterized in that: The wake influence wind parameter table includes a plurality of wind parameter combinations and wind parameter influence values ​​of each wind turbine in the wind farm under the influence of the wake under each wind parameter combination. Wherein, according to the measured value of the incoming wind parameter of the wind turbine set and the wake influence wind parameter table of the wind farm where the wind turbine set is located, the step of obtaining the estimated value of the incoming wind parameter of the wind turbine set further includes: Search the wake influence wind parameter table for the wind parameter influence value of the wind turbine generator set that matches the measured value of the incoming wind parameter, Determine the wind parameter combination corresponding to the searched wind parameter influence value.

14. The wake control method according to claim 12, characterized in that: The step of determining the optimized posture of the wind turbine generator set according to the determined estimated value of the incoming wind parameter comprises: Determining a candidate optimized posture of the wind turbine generator set according to the determined estimated value of the incoming wind parameter; Based on the determined candidate optimization postures, an implementation optimization posture of the wind turbine generator system is determined.

15. The wake control method according to claim 14, characterized in that: The step of determining the candidate optimized posture of the wind turbine generator set according to the determined estimated value of the incoming wind parameter comprises: Based on the determined estimated value of the incoming wind parameter, searching for a wind parameter combination that matches the estimated value of the incoming wind parameter from a unit optimization attitude table of the wind farm where the wind turbine is located, wherein the unit optimization attitude table includes a plurality of wind parameter combinations and a reference optimization attitude of each wind turbine in the wind farm under each wind parameter combination; The reference optimized posture of the wind turbine generator set corresponding to the searched wind parameter combination is determined as the candidate optimized posture of the wind turbine generator set.

16. The wake control method according to claim 14, characterized in that: Based on the determined candidate optimization postures, the step of determining the implementation optimization posture of the wind turbine generator system comprises: Determining the operating status of a downstream wind turbine generator set affected by the wake of the wind turbine generator set; Determine the total power change trend of the wind turbine generator set and downstream wind turbine generator sets in normal operation; If the determined total power variation trend indicates that the power increases, the determined candidate optimization posture is determined as the implementation optimization posture of the wind turbine generator system.

17. The wake control method according to claim 16, characterized in that: The downstream wind turbine generator set is determined according to the wake influence power change table of the wind farm where the wind turbine generator set is located, and the total power change trend is determined according to the wake influence power change table. The wake-affected power change table includes downstream wind turbines affected by the wake of each wind turbine in the wind farm and power changes of the downstream wind turbines affected by the wake.

18. The wake control method according to claim 16, characterized in that: The downstream wind turbines affected by the wake of the wind turbine are determined by: Determine an adjacent wind turbine group that is directly affected by the wake of the wind turbine group, and determine the determined adjacent wind turbine group as the downstream wind turbine group; And / or, determining the adjacent wind turbines directly affected by the wake of the wind turbine by one of the following methods: Determine the adjacent wind turbines through simulation based on the wake model, The adjacent wind turbine sets are determined based on the spacing between the wind turbine sets and the wind direction deviation angles of the wind turbine sets.

19. The wake control method according to claim 13 or 15, characterized in that: The multiple wind parameter combinations are obtained by the following method: Obtaining wind measurement data of a reference wind turbine set in the wind farm that is located upwind and is not affected by wake vortices of other wind turbine sets; The plurality of wind parameter combinations are obtained based on the acquired wind measurement data, And / or, based on the wake model of the wind farm, a wake influence wind parameter table, a unit optimization attitude table, and a wake influence power change table of the wind farm are obtained through simulation.

20. The wake control method according to claim 12, characterized in that: The wake control method further comprises: Determining the implementation optimization posture of all wind turbines in the wind farm where the wind turbine is located; Each wind turbine in the wind farm is controlled to operate according to the optimized posture determined for each wind turbine.

21. The wake control method according to claim 12, characterized in that: The wake control method further comprises: According to the wind direction, the wind turbines in the wind farm are grouped to obtain multiple unit combinations. Determining the optimized posture of each wind turbine generator set in the plurality of turbine generator sets in sequence from upwind to downwind; And / or, the wind turbines are grouped based on the incoming wind direction sector where each wind turbine is located, the spacing between each wind turbine, and the wind direction deviation angle of each wind turbine.

22. The wake control method according to claim 12, characterized in that: The wind farm where the wind turbine generator set is located includes a wind farm with complex terrain. Wherein, the wake control method further includes: determining a local flat area in the wind farm, Determine the optimized posture of each wind turbine generator set in the local flat area.

23. A controller, characterized in that: include: processor; A memory for storing a computer program, wherein the computer program, when executed by the processor, implements the wake control method according to any one of claims 12 to 22.

24. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the wake control method according to any one of claims 12 to 22 is implemented.

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