Control method of wind driven generator

Abstract

The invention discloses a control method of a wind driven generator, and relates to the technical field of wind driven generators, the method comprises the following steps: collecting the stress condition between a blade and a hub to obtain first collection data, and carrying out stress judgment on the first collection data; if the first acquisition data is non-uniform in stress, performing statistics on the first acquisition data based on a time span interval to obtain a second acquisition data set, performing stress uniformity judgment on the second acquisition data set, and determining a time interval proportion when the second acquisition data set is non-uniform in stress; performing early warning value judgment on the time interval proportion to obtain an adjusting scheme, and adjusting the wind driven generator based on the adjusting scheme; the stress condition in the adjusting process is collected, a third collection data set is obtained, the third collection data set is judged, the continuous adjusting effect in the adjusting process is determined, and the final state of the wind driven generator is determined according to the continuous adjusting effect. The wind driven generator has the effect of reducing the influence of wind on the wind driven generator.

Description

Technical Field

[0001] The present application relates to the technical field of wind turbines, and in particular to a control method for a wind turbine. Background Art

[0002] In actual operation of a wind turbine, when wind acts on the rudder of a wind turbine, part of the force of the wind on the rudder acts on the blades, pushing the blades to rotate, and the other part produces a thrust on the blades in the same direction as the wind. At the same time, since the force of the wind on the rudder of the wind turbine is uneven, the rudder will sway and be continuously stressed, which will cause the wind turbine to be prone to mechanical fatigue and reduce the service life of the wind turbine.

[0003] In the related art, when it is detected that the turbulence to which the wind turbine is subjected is greater than the range that the wind turbine can withstand, the angle of the blades is adjusted by controlling the variable pitch system to reduce the impact of the turbulence on the wind turbine, thereby increasing the service life of the wind turbine. However, since the force of wind acting on the rudder of the wind turbine is not fixed but random, there is an adjustment lag when adjusting the blades of the wind turbine, resulting in a poor final adjustment effect. There is room for improvement. Summary of the invention

[0004] In order to reduce the impact of wind on a wind turbine, the present application provides a control method for a wind turbine.

[0005] The present application provides a control method for a wind turbine generator, which adopts the following technical solution: A control method for a wind turbine generator, comprising: Step S1, collecting the force conditions between the blade and the hub based on the pressure sensor to obtain first collected data, and judging whether the force is uniform on the first collected data; Step S2: if the first collected data is determined to be unevenly stressed, statistics are collected on the first collected data based on the built-in time span interval to obtain a second collected data set, and a uniform stress judgment is made on the second collected data set to determine the proportion of the time interval when the stress is uneven in the second collected data set; Step S3, judging the warning value of the time interval proportion, formulating a plan for the case where the time proportion is greater than the warning value, obtaining an adjustment plan, and adjusting the wind turbine based on the adjustment plan; Step S4, continuously collect the stress conditions during the adjustment process to obtain a third collection data set, and judge the third collection data set to determine the continuous adjustment effect during the adjustment process, and determine the final state of the wind turbine according to the continuous adjustment effect.

[0006] Preferably, the pressure sensors are evenly arranged at the connection between the blade and the hub and at the area where pressure or deformation occurs.

[0007] Preferably, the pressure sensors are grouped according to the connection relationship between the blades and the hub to obtain a pressure sensor group; Comparing the first collected data of the pressure sensor group, determining that the pressure values ​​in the pressure sensor group are unequal as uneven force, and continuously collecting the pressure values ​​of the pressure sensor group based on the time span interval to obtain a second collected data set; The pressure values ​​of the second collected data set are compared, and the time statistics of the uneven force in the second time data set are performed to obtain the corresponding time interval proportion.

[0008] Preferably, in step S31, regularity judgment is performed on the second acquired data set to determine whether there is a force regularity in the second acquired data set; Step S32: if it is determined that there is a force law in the second collected data set, a corresponding adjustment plan is formulated according to the force law, and the wind turbine is adjusted based on the adjustment plan; Step S33: If it is determined that there is no force pattern in the second acquisition data set, the time interval proportion of each pressure sensor is determined according to the pressure value of each pressure sensor in the second acquisition data set, and an adjustment plan is formulated according to the time interval proportion of the pressure sensor, and the wind turbine is adjusted based on the adjustment plan.

[0009] Preferably, the adjustment rate of the adjustment scheme and the change rate of the force law are obtained, and the adjustment rate is compared with the change rate to determine whether the adjustment rate is less than the change rate; If the adjustment rate is greater than or equal to the change rate, the adjustment scheme is adjusted in real time according to the change rate; If the regulation rate is less than the change rate, an adjustment scheme is selected according to the multiple relationship between the change rate and the regulation rate to obtain an execution scheme, and the wind turbine is adjusted according to the execution scheme.

[0010] Preferably, when it is determined that the adjustment rate is less than the change rate, the force law is judged against the rotation of the blade to determine whether the force law is related to the rotation of the blade; wherein, judging whether the force law is related to the rotation of the blade includes being related to the rotation speed of the blade and being related to the rotation position of the blade.

[0011] If it is determined that the force law is related to the rotation of the blade, the rotation of the blade is adjusted according to the change rate of the force law until the adjustment rate of the adjustment scheme is greater than or equal to the change rate.

[0012] Preferably, step S331, obtaining the proportion of the time interval when the force is uniform in the second time data set, and comparing the proportion of the time interval when the force is uniform with the proportion of the time interval of each pressure sensor to determine the first adjustability; Step S332: if it is determined that the first adjustability is adjustable, a corresponding adjustment plan is formulated according to the second sub-data set corresponding to the largest time interval proportion, and the wind turbine is adjusted according to the adjustment plan; Step S333: If it is determined that the first adjustability is not adjustable, the second sub-datasets of the two adjacent pressure sensors are statistically analyzed based on the positional proximity relationship to obtain a corresponding second combined sub-dataset, and the adjustability of the second combined sub-dataset is judged to obtain a second adjustability, and a corresponding adjustment plan is formulated based on the second adjustability.

[0013] Preferably, if the second adjustability is determined to be non-adjustable, an average value of the force conditions is calculated to obtain average force data; Based on the average force data and the force conditions of each pressure sensor in the second data set, a corresponding adjustment plan is formulated, and the wind turbine is adjusted according to the adjustment plan.

[0014] Preferably, according to the time data, the adjustment effect after the adjustment is completed is marked as the final adjustment effect, and the continuous adjustment effect during the adjustment process is compared with the final adjustment effect to determine whether there is a situation where the adjustment effect is better than the final adjustment effect; If it is determined that there is a situation that is better than the final adjustment effect, the adjustment data corresponding to the adjustment effect is read, and the wind turbine is re-adjusted and re-evaluated according to the read data to obtain a fourth adjustment effect; Compare the fourth adjustment effect with the corresponding adjustment effect in the second collected data set to determine whether they are the same; if it is determined that the fourth adjustment effect is the same as the corresponding adjustment effect in the second collected data set, the state of the wind turbine generator corresponding to the fourth adjustment effect is the final adjustment state; If it is determined that the fourth adjustment effect is different from the corresponding adjustment effect in the second data set, the wind turbine is readjusted according to the data in the continuous adjustment effect whose adjustment effect is greater than the final adjustment effect until there is no data in the continuous adjustment effect whose adjustment effect is greater than the final adjustment effect.

[0015] In summary, the present application includes at least one of the following beneficial technical effects: By using a pressure sensor to collect the stress conditions between the blades and the hub, the wind conditions currently exerted on the wind turbine are clarified. Then, the stress conditions are continuously collected by using a time span interval to further determine whether the wind force change is stable. The time of uneven stress is counted to further determine whether the wind turbine needs to be adjusted, thereby improving the accuracy of the judgment, so that the plan formulated according to the stress conditions can more effectively reduce the impact of wind on the wind turbine. At the same time, by collecting and evaluating the stress conditions of the adjustment process, the adjustment effect in the adjustment process is determined, and the adjustment effects in the entire adjustment process are compared with each other, so that the one with the best adjustment effect is used as the final state of the wind turbine, so that the impact of wind on the wind turbine is minimized, thereby improving the effective adjustment effect of the plan; By judging the regularity of the second collected data set, different adjustment schemes are formulated to make the adjustment scheme more effective. The adjustment rate of the adjustment scheme under the force law is obtained, and the adjustment rate is compared with the change rate to determine the execution mode of the adjustment scheme, thereby improving the effectiveness of executing the adjustment scheme. For the situation that cannot be adjusted in real time, the relationship between the force law and the rotation of the blades is judged, and the blades with correlation are adjusted to reduce the adjustment rate. For the situation without correlation, the multiple relationship is judged, so as to select the adjustment scheme to execute part of the scheme, thereby minimizing the impact of wind on the wind turbine; By monitoring the stress conditions during the adjustment process, it is determined whether there is a situation in the adjustment process where the adjustment effect is better than the final adjustment effect. If it is determined to be so, the wind turbine is re-adjusted and re-evaluated according to the adjustment data of the corresponding adjustment effect, and the fourth adjustment effect after evaluation is compared with the adjustment effect in the corresponding adjustment process to determine the stability of the adjustment effect. When it is determined to be stable, the adjustment data corresponding to the adjustment effect is used as the final adjustment state of the wind turbine. Otherwise, according to the situation where the adjustment effect is better than the final adjustment effect, the adjustment data corresponding to other adjustment effects are adjusted in turn until there is no adjustment effect better than the final adjustment effect, so that the adjustment effect of the adjusted wind turbine is optimal, the accuracy and effectiveness of the adjustment are improved, and the impact of wind on the wind turbine is minimized. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 1 is a flow chart of the steps of the control method of the wind turbine generator in this embodiment. DETAILED DESCRIPTION

[0017] The following is combined with Figure 1 This application is described in further detail.

[0018] The embodiment of the present application discloses a control method for a wind turbine.

[0019] Example: Figure 1 As shown, the present invention provides a control method for a wind turbine generator, comprising: Step S1, collecting the force conditions between the blade and the hub based on the pressure sensor, obtaining the first collected data, and judging whether the force is uniform on the first collected data; wherein the pressure sensor is evenly arranged at the connection between the blade and the hub and the area where pressure or deformation occurs.

[0020] Step S2: if the first collected data is determined to be unevenly stressed, statistics are collected on the first collected data based on the built-in time span interval to obtain a second collected data set, and a uniform stress judgment is made on the second collected data set to determine the proportion of the time interval when the stress is uneven in the second collected data set; Step S3, judging the warning value of the time interval proportion, formulating a plan for the case where the time proportion is greater than the warning value, obtaining an adjustment plan, and adjusting the wind turbine based on the adjustment plan; Step S4, continuously collect the stress conditions during the adjustment process to obtain a third collection data set, and judge the third collection data set to determine the continuous adjustment effect during the adjustment process, and determine the final state of the wind turbine according to the continuous adjustment effect.

[0021] In this embodiment, the force conditions between the blades and the hub are collected by using a pressure sensor to clarify the wind conditions currently received by the wind turbine, and then the force conditions are continuously collected by using a time span interval to further determine whether the wind force change is stable, and the time of uneven force is counted to further determine whether the wind turbine needs to be adjusted, thereby improving the accuracy of the judgment, so that the plan formulated according to the force conditions can more effectively reduce the impact of wind on the wind turbine. At the same time, the force conditions of the adjustment process are collected and evaluated to determine the adjustment effect during the adjustment process, and the adjustment effects of the entire adjustment process are compared with each other, so that the one with the best adjustment effect is used as the final state of the wind turbine, so that the impact of wind on the wind turbine is minimized, thereby improving the effective adjustment effect of the plan.

[0022] For example, since the pressure sensor is evenly arranged at the connection between the blade and the hub, when the wind acts on the blade, part of the force is used to push the blade to rotate, and part of the force is used to push the blade backward, thereby causing the blade to press against the hub. When the wind acts evenly on the blade, the pressure detected by the pressure sensor is the same pressure. On the contrary, when the wind acts unevenly on the blade, the pressure detected by the pressure sensor is different. Therefore, when the pressure detected by the pressure sensor is different, it is determined that the force of the wind on the blade is uneven, and it is necessary to further determine whether the wind turbine needs to be adjusted to reduce the risk of mechanical fatigue of the machinery in this area due to being in an offset stress state for a long time.

[0023] When it is determined that the wind turbine needs to be adjusted, the detected pressure values ​​are counted through the built-in time span interval, for example, 10 minutes, to obtain the second acquisition data set; since there are multiple pressure sensors evenly distributed on the hub, the second acquisition data set includes all the collected values ​​of each pressure sensor within 10 minutes, and then the uniform force judgment and uneven force judgment are made for all the collected values ​​within this time, and the uneven force time is counted. For example, within 10 minutes, the uniform force is 4 minutes and the uneven force is 6 minutes, then the uneven force time interval accounts for 0.6, and 0.6 is compared with the warning value. Assuming the warning value is 0.5, since 0.6>0.5, it is determined that an adjustment plan needs to be formulated, and the adjustment plan is formulated. On the contrary, if the warning value is 0.7, since 0.6<0.7, it is determined that no adjustment plan is needed.

[0024] Since the formulated adjustment scheme is based on the adjustment on a theoretical basis, the stress conditions in the adjustment process can be collected and evaluated during the adjustment process to obtain the adjustment effect of the corresponding position until the adjustment scheme is completed. By comparing the adjustment effects in the adjustment process one by one, the adjustment data with the best adjustment effect in the adjustment process can be determined, and the adjustment data can be used as the final adjustment state of the wind turbine.

[0025] In step S2, if it is determined that the first collected data is unevenly stressed, the first collected data is statistically analyzed based on the built-in time span interval to obtain a second collected data set, and the second collected data set is judged to be uniformly stressed, and the proportion of the time interval when the stress is uneven in the second collected data set is determined, including the following steps: Step S21, grouping the pressure sensors according to the connection relationship between the blades and the hub to obtain a pressure sensor group; by utilizing the connection relationship between the blades and the hub, grouping the pressure sensors on the same connection relationship to obtain a corresponding pressure sensor group.

[0026] Step S22, performing a first collected data comparison on the pressure sensor group, determining that the pressure values ​​in the pressure sensor group are unequal as uneven force, and continuously collecting the pressure values ​​of the pressure sensor group based on a time span interval to obtain a second collected data set; Step S23, comparing the pressure values ​​of the second collected data set, and performing time statistics on the uneven force situation in the second time data set to obtain the corresponding time interval proportion.

[0027] In this embodiment, the pressure sensors are grouped by utilizing the connection relationship between the blades and the hub, and the pressure values ​​of the pressure sensors in the same group are compared to determine whether the force exerted by the blades on the hub is uniform, and the pressure values ​​are continuously monitored for uneven situations to further clarify the effect of the blades on the hub, and then determine whether the wind turbine needs to be adjusted based on the proportion of the time interval of the corresponding pressure sensor group, so as to improve the accuracy of the adjustment judgment and ensure that the formulated adjustment plan is an effective plan.

[0028] For example, since the connection between the blade and the hub may be a nested connection, for example, a cylinder is embedded in a circular hole, the pressure sensor needs to be set not only on the top surface of the cylinder, but also on the side surface of the cylinder or the inner surface of the circular hole at the connection covering position. Therefore, in this case, it is necessary to group the pressure sensors on the top surface of the cylinder and the pressure sensors on the side surface of the cylinder together, and independently judge the pressure sensors in the same group.

[0029] By comparing the pressure values ​​of the pressure sensors in the same group, it is determined whether the pressure values ​​of the sensors are the same. If the pressure values ​​are equal, it indicates that the force exerted by the blades on the hub is uniform, and there is no mechanical fatigue caused by unilateral force. On the contrary, if the pressure values ​​are not equal, it indicates that the force exerted by the blades on the hub is unilateral, so further judgment is needed to determine whether the wind turbine needs to be adjusted to reduce the occurrence of unilateral force.

[0030] In step S3, a warning value is determined for the time interval proportion, a plan is formulated for the case where the time proportion is greater than the warning value, an adjustment plan is obtained, and the wind turbine is adjusted based on the adjustment plan, including the following steps: Step S31, performing regularity judgment on the second acquired data set to determine whether there is a force regularity in the second acquired data set; Step S32: if it is determined that there is a force law in the second collected data set, a corresponding adjustment plan is formulated according to the force law, and the wind turbine is adjusted based on the adjustment plan; Step S321, obtaining the adjustment rate of the adjustment scheme and the change rate of the force law, comparing the adjustment rate with the change rate, and determining whether the adjustment rate is less than the change rate; Step S322, if the adjustment rate is greater than or equal to the change rate, the adjustment scheme is adjusted in real time according to the change rate; Step S323: if the adjustment rate is less than the change rate, an adjustment scheme is selected according to the multiple relationship between the change rate and the adjustment rate to obtain an execution scheme, and the wind turbine is adjusted according to the execution scheme.

[0031] Among them, it also includes: Step S324, when it is determined that the adjustment rate is less than the change rate, the force law is judged against the rotation of the blade to determine whether the force law is related to the rotation of the blade; wherein, determining whether the force law is related to the rotation of the blade includes being related to the rotation speed of the blade and being related to the rotation position of the blade.

[0032] Step S325: If it is determined that the force law is related to the rotation of the blade, the rotation of the blade is adjusted according to the change rate of the force law until the adjustment rate of the adjustment scheme is greater than or equal to the change rate.

[0033] Step S33: If it is determined that there is no force pattern in the second acquisition data set, the time interval proportion of each pressure sensor is determined according to the pressure value of each pressure sensor in the second acquisition data set, and an adjustment plan is formulated according to the time interval proportion of the pressure sensor, and the wind turbine is adjusted based on the adjustment plan.

[0034] In this embodiment, different adjustment schemes are formulated by judging the regularity of the second collected data set, so that the adjustment scheme is more effective, the adjustment rate is obtained for the adjustment scheme under the force law, and the adjustment rate is compared with the change rate to determine the execution mode of the adjustment scheme, thereby improving the effectiveness of executing the adjustment scheme, and the relationship between the force law and the blade rotation is judged for the situation that cannot be adjusted in real time, the blades with correlation are adjusted to reduce the adjustment rate, and the multiple relationship is judged for the situation without correlation, so as to select the adjustment scheme to execute part of the plan, thereby minimizing the impact of wind on the wind turbine.

[0035] For example, when it is determined that the force of the blade on the hub is regular, the unbalanced force of the blade on the hub can be eliminated by coordinating the wind turbine. After determining the adjustment scheme, the time required for the coordinated adjustment of the adjustment scheme and the change time of the regular change are compared to determine whether the purpose of synchronous adjustment can be achieved. For example, if the adjustment rate is 7-10 and the change rate is 9, the adjustment rate is greater than the change rate, so synchronous adjustment can be achieved. On the contrary, if the change rate is 6, synchronous adjustment cannot be performed. For the situation where synchronous adjustment cannot be performed, partial schemes can be selected to achieve partial elimination of the unbalanced force. For example, if the adjustment scheme is to adjust in three directions, and the time required for adjustment is a: 8, b: 7, and c: 10 respectively, a and c can be extracted. When the change is performed, the wind turbine is adjusted in advance to point a, and when the force is transferred to point b, the wind turbine is adjusted to point c according to the adjustment scheme. This reduces the impact of wind on the wind turbine to a certain extent.

[0036] It also includes judging the force law and the rotation of the blades. For example, each time the blades rotate to point a, the pressure at point a increases and needs to be adjusted. In this case, the speed at which the blades rotate to point a can be reduced, thereby lengthening the rate of change, so that the wind turbine can be adjusted in real time.

[0037] In step S33, if it is determined that there is no force law in the second collected data set, the time interval proportion of each pressure sensor is determined according to the pressure value of each pressure sensor in the second collected data set, and an adjustment plan is formulated according to the time interval proportion of the pressure sensor, and the wind turbine is adjusted based on the adjustment plan, including the following steps: Step S331, obtaining the time interval proportion when the force is uniform in the second time data set, and comparing the time interval proportion when the force is uniform with the time interval proportion of each pressure sensor to determine the first adjustability; Step S332: if it is determined that the first adjustability is adjustable, a corresponding adjustment plan is formulated according to the second sub-data set corresponding to the largest time interval proportion, and the wind turbine is adjusted according to the adjustment plan; Step S333: If it is determined that the first adjustability is not adjustable, the second sub-datasets of the two adjacent pressure sensors are statistically analyzed based on the positional proximity relationship to obtain a corresponding second combined sub-dataset, and the adjustability of the second combined sub-dataset is judged to obtain a second adjustability, and a corresponding adjustment plan is formulated based on the second adjustability.

[0038] Step S333a, if it is determined that the second adjustability is not adjustable, then average value calculation is performed on the force conditions to obtain average force data; Step S333b: formulate a corresponding adjustment plan based on the average force data and the force conditions of each pressure sensor in the second data set, and adjust the wind turbine according to the adjustment plan.

[0039] In this embodiment, by matching the proportion of the time interval of a single pressure sensor with the proportion of the time interval when the force is uniform, it is determined whether the adjustment effect of the single pressure sensor can reduce the impact of wind on the wind turbine. After determining that the adjustment of the single pressure sensor cannot reduce the impact, the two adjacent pressure sensors are adjusted and then judged, as well as the average of all pressure sensors is adjusted and then judged, so that the final adjustment plan can minimize the impact of wind on the wind turbine.

[0040] For example, when it is determined that the force exerted by the blades on the hub is not regular, it indicates that the wind force and direction are not regular. As a result, when the wind turbine is adjusted, the time period of uniform force will become uneven due to the adjustment, and the time period of uneven force will become uniform or reduce the force due to the adjustment. Therefore, when making adjustments, it is necessary to first determine whether the time period of uniform force will increase or decrease after the adjustment. When it is determined that the proportion of the time interval after adjustment corresponding to the problem of a single pressure sensor is increased, a corresponding adjustment plan is generated according to the largest time interval, and corresponding adjustments are made. On the contrary, when it is determined that the proportion of the time interval after adjusting the problem corresponding to a single pressure sensor is reduced, the problems corresponding to multiple adjacent pressure sensors are statistically analyzed to determine whether the pressure between the blades and the hub is reduced after adjusting the multiple pressure sensors. If a reduction occurs, it is determined to be adjustable, and a corresponding adjustment plan is generated based on the problems corresponding to the two adjacent pressure sensors. If it is determined that no reduction occurs, a mean judgment is performed, and a corresponding adjustment plan is generated based on the average force data to reduce the overall force between the blades and the hub, thereby minimizing the mechanical fatigue caused by long-term force on mechanical components, thereby affecting the service life of the wind turbine.

[0041] In step S4, the stress conditions during the adjustment process are continuously collected to obtain a third collected data set, and the third collected data set is judged to determine the continuous adjustment effect during the adjustment process, and the final state of the wind turbine is determined according to the continuous adjustment effect, including the following steps: Step S41, marking the adjustment effect after the adjustment is completed as the final adjustment effect according to the time data, comparing the continuous adjustment effect during the adjustment process with the final adjustment effect, and determining whether there is a situation where the adjustment effect is better than the final adjustment effect; Step S42, if it is determined that there is a situation that is better than the final adjustment effect, then read the adjustment data corresponding to the adjustment effect, and re-adjust and re-evaluate the wind turbine according to the read data to obtain a fourth adjustment effect; Step S43, comparing the fourth adjustment effect with the corresponding adjustment effect in the second collected data set to determine whether they are the same; if it is determined that the fourth adjustment effect is the same as the corresponding adjustment effect in the second collected data set, the state of the wind turbine generator corresponding to the fourth adjustment effect is the final adjustment state; Step S44: if it is determined that the fourth adjustment effect is different from the corresponding adjustment effect in the second data set, the wind turbine is re-adjusted according to the data in the continuous adjustment effect whose adjustment effect is greater than the final adjustment effect, until there is no data in the continuous adjustment effect whose adjustment effect is greater than the final adjustment effect.

[0042] In this embodiment, the stress conditions during the adjustment process are monitored to determine whether there is a situation in the adjustment process where the adjustment effect is better than the final adjustment effect. If it is determined to be so, the wind turbine is re-adjusted and re-evaluated according to the adjustment data of the corresponding adjustment effect, and the fourth adjustment effect after evaluation is compared with the adjustment effect in the corresponding adjustment process to determine the stability of the adjustment effect. When it is determined to be stable, the adjustment data corresponding to the adjustment effect is used as the final adjustment state of the wind turbine. Otherwise, the adjustment data corresponding to other adjustment effects are adjusted in turn according to the situation where the adjustment effect is better than the final adjustment effect, until there is no adjustment effect better than the final adjustment effect, so that the adjustment effect of the adjusted wind turbine is optimal, the accuracy and effectiveness of the adjustment are improved, and the impact of wind on the wind turbine is minimized.

[0043] For example, since the force exerted by wind on the blades is not regular, the result after adjustment according to the theoretical adjustment scheme may not necessarily achieve the expected effect. Therefore, when adjusting according to the adjustment scheme, the adjustment process is monitored and evaluated to obtain all adjustment effects in the adjustment process, and the adjustment effect in the adjustment process is compared with the final adjustment effect to determine whether there is an adjustment data in the adjustment process whose adjustment effect is better than the final adjustment effect. The adjustment data that is better than the final adjustment effect is selected and the wind turbine is re-adjusted. The adjusted adjustment data is compared with the corresponding adjustment data to determine whether the adjustment data that is better than the final adjustment effect can obtain a stable adjustment result. If the values ​​are the same, it is determined that a stable adjustment result can be obtained, otherwise it is determined that a stable adjustment result cannot be obtained.

[0044] If a stable adjustment result can be achieved, the adjustment result will be used as the final adjustment result of the wind turbine. Otherwise, the adjustment data with adjustment effects during the adjustment process that are better than the final adjustment effect will be compared in sequence to determine the final adjustment result.

[0045] Compared with the existing control method of wind turbines, the present invention reduces the influence of wind on the wind turbines.

[0046] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A control method for a wind turbine, characterized in that: include: Step S1, collecting the force conditions between the blade and the hub based on the pressure sensor to obtain first collected data, and judging whether the force is uniform on the first collected data; Step S2: if the first collected data is determined to be unevenly stressed, statistics are collected on the first collected data based on the built-in time span interval to obtain a second collected data set, and a uniform stress is judged on the second collected data set to determine the proportion of the time interval when the stress is uneven in the second collected data set; Step S3, judging the warning value of the time interval proportion, formulating a plan for the case where the time proportion is greater than the warning value, obtaining an adjustment plan, and adjusting the wind turbine based on the adjustment plan; Step S4, continuously collect the stress conditions during the adjustment process to obtain a third collection data set, and judge the third collection data set to determine the continuous adjustment effect during the adjustment process, and determine the final state of the wind turbine according to the continuous adjustment effect.

2. A control method for a wind turbine according to claim 1, characterized in that: The pressure sensors are evenly arranged at the connection between the blade and the hub and in the area where pressure or deformation occurs.

3. A control method for a wind turbine according to claim 2, characterized in that: Step S2 is specifically: According to the connection relationship between the blades and the hub, the pressure sensors are grouped to obtain a pressure sensor group; Comparing the first collected data of the pressure sensor group, determining that the pressure values ​​in the pressure sensor group are unequal as uneven force, and continuously collecting the pressure values ​​of the pressure sensor group based on the time span interval to obtain a second collected data set; The pressure values ​​of the second collected data set are compared, and the time statistics of the uneven force in the second time data set are performed to obtain the corresponding time interval proportion.

4. A control method for a wind turbine according to claim 3, characterized in that: Step S3 is specifically: Step S31, performing regularity judgment on the second acquired data set to determine whether there is a force regularity in the second acquired data set; Step S32: if it is determined that there is a force law in the second collected data set, a corresponding adjustment plan is formulated according to the force law, and the wind turbine is adjusted based on the adjustment plan; Step S33: If it is determined that there is no force pattern in the second collected data set, the time interval proportion of each pressure sensor is determined according to the pressure value of each pressure sensor in the second collected data set, and an adjustment plan is formulated according to the time interval proportion of the pressure sensor, and the wind turbine is adjusted based on the adjustment plan.

5. A control method for a wind turbine according to claim 4, characterized in that Step S32 is specifically: Obtaining the adjustment rate of the adjustment scheme and the change rate of the force law, comparing the adjustment rate with the change rate, and determining whether the adjustment rate is less than the change rate; If the adjustment rate is greater than or equal to the change rate, the adjustment scheme is adjusted in real time according to the change rate; If the regulation rate is less than the change rate, an adjustment scheme is selected according to the multiple relationship between the change rate and the regulation rate to obtain an execution scheme, and the wind turbine is adjusted according to the execution scheme.

6. A control method for a wind turbine generator according to claim 5, characterized in that: Step S32 further includes: When it is determined that the adjustment rate is less than the change rate, the force law is judged against the rotation of the blade to determine whether the force law is related to the rotation of the blade; If it is determined that the force law is related to the rotation of the blade, the rotation of the blade is adjusted according to the change rate of the force law until the adjustment rate of the adjustment scheme is greater than or equal to the change rate.

7. A control method for a wind turbine according to claim 6, characterized in that: Step S33 is specifically: Step S331, obtaining the time interval proportion when the force is uniform in the second time data set, and comparing the time interval proportion when the force is uniform with the time interval proportion of each pressure sensor to determine the first adjustability; Step S332: if it is determined that the first adjustability is adjustable, a corresponding adjustment plan is formulated according to the second sub-data set corresponding to the largest time interval proportion, and the wind turbine is adjusted according to the adjustment plan; Step S333: If it is determined that the first adjustability is not adjustable, the second sub-datasets of the two adjacent pressure sensors are statistically analyzed based on the positional proximity relationship to obtain a corresponding second combined sub-dataset, and the adjustability of the second combined sub-dataset is judged to obtain a second adjustability, and a corresponding adjustment plan is formulated based on the second adjustability.

8. A control method for a wind turbine generator according to claim 7, characterized in that: Step S333 is specifically: If the second adjustability is determined to be non-adjustable, the force conditions are averaged to obtain average force data; Based on the average force data and the force conditions of each pressure sensor in the second data set, a corresponding adjustment plan is formulated, and the wind turbine is adjusted according to the adjustment plan.

9. A control method for a wind turbine generator according to claim 8, characterized in that: Step S4 is specifically: According to the time data, the adjustment effect after the adjustment is completed is marked as the final adjustment effect, and the continuous adjustment effect during the adjustment process is compared with the final adjustment effect to determine whether there is a situation where the adjustment effect is better than the final adjustment effect; If it is determined that there is a situation that is better than the final adjustment effect, the adjustment data corresponding to the adjustment effect is read, and the wind turbine is re-adjusted and re-evaluated according to the read data to obtain a fourth adjustment effect; Compare the fourth adjustment effect with the corresponding adjustment effect in the second collected data set to determine whether they are the same; if it is determined that the fourth adjustment effect is the same as the corresponding adjustment effect in the second collected data set, the state of the wind turbine generator corresponding to the fourth adjustment effect is the final adjustment state; If it is determined that the fourth adjustment effect is different from the corresponding adjustment effect in the second data set, the wind turbine is readjusted according to the data in the continuous adjustment effect whose adjustment effect is greater than the final adjustment effect until there is no data in the continuous adjustment effect whose adjustment effect is greater than the final adjustment effect.

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