A control method for a wind turbine

Abstract

The present application discloses a control method for a wind turbine, which relates to the technical field of wind turbines. The method includes collecting the force condition between the blade and the hub to obtain first collected data, and performing a force judgment on the first collected data; if the first collected data is unevenly stressed, then statistically analyzing the first collected data based on a time span interval to obtain a second collected data set, performing a force uniformity judgment on the second collected data set to determine the proportion of the time interval when the force is uneven in the second collected data set; performing a warning value judgment on the proportion of the time interval to obtain an adjustment scheme, and adjusting the wind turbine based on the adjustment scheme; collecting the force condition during the adjustment process to obtain a third collected data set, and judging the third collected data set to determine the continuous adjustment effect during the adjustment process, and determining the final state of the wind turbine according to the continuous adjustment effect. The present application has the effect of reducing the influence of wind on the wind turbine.

Description

Technical Field

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

[0002] During the actual operation of a wind turbine generator set, when the wind acts on the rudder surface of the wind turbine, a part of the force of the wind on the rudder surface of the wind turbine acts on the blade, pushing the blade to rotate, and another part generates a thrust in the same direction as the wind direction on the blade. At the same time, since the force of the wind on the rudder surface of the wind turbine is uneven, the rudder surface will swing and be continuously stressed, resulting in mechanical fatigue of the wind turbine and reducing the service life of the wind turbine.

[0003] In the related art, when it is detected that the turbulence borne by the wind turbine is greater than the range that the wind turbine can withstand, the pitch system is controlled to adjust the angle of the blade to reduce the impact of the turbulence on the wind turbine, thereby improving the service life of the wind turbine. However, since the force of the wind acting on the rudder surface of the wind turbine is not fixed and has randomness, there is a regulation lag when adjusting the blade of the wind turbine, resulting in a poor final regulation effect and room for improvement. Summary of the Invention

[0004] In order to reduce the impact of the wind on the 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, adopting the following technical solution:

[0006] A control method for a wind turbine, comprising:

[0007] Step S1, collecting the force condition between the blade and the hub based on a pressure sensor to obtain first collected data, and judging the uniformity of the force on the first collected data;

[0008] Step S2, if it is determined that the first collected data is unevenly stressed, then statistically analyzing the first collected data based on a built-in time span interval to obtain a second collected data set, and judging the uniformity of the force on the second collected data set to determine the proportion of the time interval when the force is uneven in the second collected data set;

[0009] Step S3, judging the warning value of the time interval proportion, formulating a solution for the situation where the time proportion is greater than the warning value to obtain an adjustment solution, and adjusting the wind turbine based on the adjustment solution;

[0010] Step S4, continuously collect the force conditions during the adjustment process to obtain a third collection dataset, judge the third collection dataset 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.

[0011] Preferably, the pressure sensors are evenly arranged at the connection between the blade and the hub and in the areas where compression or deformation occurs.

[0012] Preferably, according to the connection relationship between the blade and the hub, the pressure sensors are grouped to obtain a pressure sensor group;

[0013] Perform a first collection data comparison on the pressure sensor group, determine that the situation where the pressure values in the pressure sensor group are not equal is uneven force, and continuously collect the pressure values of the pressure sensor group based on the time span interval to obtain a second collection dataset;

[0014] Compare the pressure values of the second collection dataset, and perform time statistics on the uneven force situation in the second time dataset to obtain the corresponding time interval ratio.

[0015] Preferably, in step S31, judge the regularity of the second collection dataset to determine whether there is a force law in the second collection dataset;

[0016] Step S32, if it is determined that there is a force law in the second collection dataset, formulate a corresponding adjustment plan according to the force law, and adjust the wind turbine based on the adjustment plan;

[0017] Step S33, if it is determined that there is no force law in the second collection dataset, determine the time interval ratio of each pressure sensor according to the pressure values of each pressure sensor in the second collection dataset, formulate an adjustment plan according to the time interval ratio of the pressure sensor, and adjust the wind turbine based on the adjustment plan.

[0018] Preferably, obtain the adjustment rate of the adjustment plan and the change rate of the force law, compare the adjustment rate with the change rate to determine whether the adjustment rate is less than the change rate;

[0019] If the adjustment rate is greater than or equal to the change rate, adjust the adjustment plan in real time according to the change rate;

[0020] If the adjustment rate is less than the change rate, select the adjustment plan according to the multiple relationship between the change rate and the adjustment rate to obtain an execution plan, and adjust the wind turbine according to the execution plan.

[0021] Preferably, when it is determined that the adjustment rate is less than the change rate, the force law is judged in combination with 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.

[0022] 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.

[0023] Preferably, in step S331, the time interval ratio when the force is uniform in the second time dataset is obtained, and the time interval ratio when the force is uniform is compared with the time interval ratios of each pressure sensor to determine the first adjustability;

[0024] In step S332, if it is determined that the first adjustability is adjustable, a corresponding adjustment scheme is formulated according to the second sub-dataset corresponding to the largest time interval ratio, and the wind turbine is adjusted according to the adjustment scheme;

[0025] In step S333, if it is determined that the first adjustability is non-adjustable, according to the position adjacent relationship, the second sub-datasets of two adjacent pressure sensors are statistically analyzed to obtain the corresponding second combined sub-dataset, and the second combined sub-dataset is judged for adjustability to obtain the second adjustability, and a corresponding adjustment scheme is formulated according to the second adjustability.

[0026] Preferably, if it is determined that the second adjustability is non-adjustable, the average value of the force conditions is calculated to obtain the average force data;

[0027] Based on the average force data and the force conditions of each pressure sensor in the second dataset, a corresponding adjustment scheme is formulated, and the wind turbine is adjusted according to the adjustment scheme.

[0028] Preferably, according to the time data, the adjustment effect after adjustment 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;

[0029] If it is determined that there is a situation where the adjustment effect is better than the final adjustment effect, the adjustment data corresponding to the corresponding adjustment effect is read, and the wind turbine is readjusted and re-evaluated according to the read data to obtain the fourth adjustment effect;

[0030] The fourth adjustment effect is compared with the corresponding adjustment effect in the second acquisition dataset 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 acquisition dataset, the wind turbine state corresponding to the fourth adjustment effect is the final adjustment state;

[0031] If it is determined that the fourth adjustment effect is different from the corresponding adjustment effect in the second acquisition dataset, the wind turbine is readjusted according to the data in the continuous adjustment effect where the adjustment effect is greater than the final adjustment effect until there is no data in the continuous adjustment effect where the adjustment effect is greater than the final adjustment effect.

[0032] In summary, the present application includes at least one of the following beneficial technical effects:

[0033] By using a pressure sensor to collect the force condition between the blade and the hub to clarify the wind force condition received by the current wind turbine, and then continuously collecting the force condition by using a time-span interval to further determine whether the change of the wind force is stable, and counting the time of uneven force to further determine whether the wind turbine needs to be adjusted, the accuracy of the determination is improved, so that the scheme formulated according to the force condition can more effectively reduce the influence of the wind on the wind turbine. At the same time, by collecting and evaluating the force condition during the adjustment process, the adjustment effect during the adjustment process is determined, and the adjustment effects during 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 as to minimize the influence of the wind on the wind turbine and improve the effective adjustment effect of the scheme;

[0034] By making a regular judgment on the second acquisition dataset, 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 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 where real-time adjustment is not possible, the relationship between the force law and the blade rotation is judged, and the blades with correlation are adjusted to reduce the adjustment rate. For the situation without correlation, a multiple relationship is judged, and then the adjustment scheme is selected to execute part of the scheme, thereby minimizing the influence of the wind on the wind turbine to the greatest extent;

[0035] By monitoring the force conditions during the adjustment process, it is determined whether there is a situation where the adjustment effect during the adjustment process is better than the final adjustment effect. If it is determined that there is such a situation, the wind turbine is readjusted and re-evaluated according to the adjustment data corresponding to the adjustment effect, and the fourth adjustment effect after evaluation is compared with the adjustment effect during the corresponding adjustment process, so as to determine the stability of the adjustment effect. When it is determined that there is stability, 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 is 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, improving the accuracy and effectiveness of the adjustment, and further reducing the impact of the wind on the wind turbine to the greatest extent. Brief Description of the Drawings

[0036] Figure 1 It is a flowchart of the steps of the control method for the wind turbine in this embodiment. Detailed Description of the Embodiment

[0037] The following is a further detailed description of the present application in conjunction with the attached Figure 1 drawings.

[0038] An embodiment of the present application discloses a control method for a wind turbine.

[0039] Embodiment: As Figure 1 shown, a control method for a wind turbine according to the present invention includes:

[0040] Step S1, collect the force conditions between the blade and the hub based on a pressure sensor to obtain first collection data, and judge the uniformity of the force on the first collection data; wherein, the pressure sensors are evenly arranged at the connection between the blade and the hub and in the areas where compression or deformation occurs.

[0041] Step S2, if it is determined that the first collection data is unevenly stressed, then statistically process the first collection data based on the built-in time span interval to obtain a second collection data set, and judge the uniformity of the force on the second collection data set to determine the proportion of the time interval when the force is uneven in the second collection data set;

[0042] Step S3, judge the warning value of the time interval proportion, formulate a solution for the situation where the time proportion is greater than the warning value to obtain an adjustment solution, and adjust the wind turbine based on the adjustment solution;

[0043] Step S4, continuously collect the force 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.

[0044] In this embodiment, by using a pressure sensor to collect the force condition between the blade and the hub, the wind force condition received by the current wind turbine is clarified. Then, by continuously collecting the force condition within a time-span interval, it is further determined whether the change of the wind force is stable, and the time of uneven force is counted to further determine whether the wind turbine needs to be adjusted, improving the accuracy of judgment. This makes the solution formulated according to the force condition more effective in reducing the impact of the wind on the wind turbine. At the same time, by collecting and evaluating the force condition during the adjustment process, the adjustment effect during the adjustment process is determined, and the adjustment effects during the entire adjustment process are compared with each other. Thus, the one with the best adjustment effect is taken as the final state of the wind turbine, so as to minimize the impact of the wind on the wind turbine and improve the effective adjustment effect of the solution.

[0045] Exemplarily, since the pressure sensors are 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, thus 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 of different magnitudes. Therefore, when the pressure magnitudes detected by the pressure sensor are different, it is determined that the force acting on the blade by the wind is uneven, and further judgment is needed to determine whether the wind turbine needs to be adjusted to reduce the risk of mechanical fatigue of the machinery in this area caused by being in an offset force state for a long time.

[0046] 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 a second acquisition data set. Since multiple pressure sensors are evenly distributed on the hub, the second acquisition data set includes all the acquisition values of each pressure sensor within 10 minutes. Then, by judging the evenness and unevenness of the force for all the acquisition values within this time and counting the time of uneven force, for example, within 10 minutes, the time of even force is 4 minutes and the time of uneven force is 6 minutes, then the proportion of the time interval of uneven force is 0.6. Comparing 0.6 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 needs to be formulated.

[0047] Since the formulated adjustment plan is based on theoretical adjustment, the force conditions during the adjustment process can be collected and evaluated during the adjustment process to obtain the adjustment effect at the corresponding position until the adjustment plan is completed. By comparing the adjustment effects during the adjustment process one by one, the adjustment data with the best adjustment effect during the adjustment process is determined, and this adjustment data is used as the final adjustment state of the wind turbine.

[0048] In step S2, if it is determined that the first acquisition data is unevenly stressed, the first acquisition data is statistically analyzed based on the built-in time span interval to obtain a second acquisition data set, and the second acquisition data set is judged for force uniformity to determine the proportion of the time interval when the force is uneven in the second acquisition data set, including the following steps:

[0049] Step S21, according to the connection relationship between the blade and the hub, the pressure sensors are grouped to obtain a pressure sensor group; by using the connection relationship between the blade and the hub, the pressure sensors on the same connection relationship are grouped to obtain the corresponding pressure sensor group.

[0050] Step S22, compare the first acquisition data of the pressure sensor group, determine that the situation where the pressure values in the pressure sensor group are not equal is uneven stress, and continuously collect the pressure values of the pressure sensor group based on the time span interval to obtain a second acquisition data set;

[0051] Step S23, compare the pressure values of the second acquisition data set, and perform time statistics on the situation of uneven stress in the second time data set to obtain the corresponding proportion of the time interval.

[0052] In this embodiment, by using the connection relationship between the blade and the hub to group the pressure sensors and comparing the pressure values of the pressure sensors in the same group, it is determined whether the force of the blade on the hub is uniform, and the pressure value of the uneven situation is continuously monitored, so as to further clarify the action situation of the blade on the hub, and then determine whether it is necessary to adjust the wind turbine according to the proportion of the time interval of the corresponding pressure sensor group to improve the accuracy of the adjustment judgment and make the formulated adjustment plan an effective plan.

[0053] Exemplarily, since the connection relationship between the blade and the hub may be a nested connection, for example, a cylinder is inserted into a round 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 round hole at the connection covering position. Therefore, for this situation, the pressure sensors on the top surface of the cylinder need to be grouped together, the pressure sensors on the side surface of the cylinder need to be grouped together, and the pressure sensors in the same group are judged independently.

[0054] By comparing the pressure values of the same group of pressure sensors with each other, 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 blade on the hub is uniform, and thus there is no mechanical fatigue caused by unilateral force. On the contrary, if the pressure values are not equal, it indicates that there is a unilateral force situation in the force exerted by the blade on the hub. Therefore, further judgment is required to determine whether the wind turbine needs to be adjusted to reduce the occurrence of the unilateral force situation.

[0055] In step S3, a warning value judgment is made on the time interval ratio, a solution is formulated for the situation where the time ratio is greater than the warning value to obtain an adjustment solution, and the wind turbine is adjusted based on the adjustment solution, including the following steps:

[0056] Step S31, make a regularity judgment on the second acquisition data set to determine whether there is a force law in the second acquisition data set;

[0057] Step S32, if it is determined that there is a force law in the second acquisition data set, formulate a corresponding adjustment solution according to the force law, and adjust the wind turbine based on the adjustment solution;

[0058] Step S321, obtain the adjustment rate of the adjustment solution and the change rate of the force law, compare the adjustment rate with the change rate, and determine whether the adjustment rate is less than the change rate;

[0059] Step S322, if the adjustment rate is greater than or equal to the change rate, adjust the adjustment solution in real time according to the change rate;

[0060] Step S323, if the adjustment rate is less than the change rate, select the adjustment solution according to the multiple relationship between the change rate and the adjustment rate to obtain an execution solution, and adjust the wind turbine according to the execution solution.

[0061] Among them, it also includes:

[0062] Step S324, when it is determined that the adjustment rate is less than the change rate, judge the force law and the rotation of the blade to determine whether the force law is related to the rotation of the blade; among them, 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.

[0063] Step S325, if it is determined that the force law is related to the rotation of the blade, adjust the rotation of the blade according to the change rate of the force law until the adjustment rate of the adjustment solution is greater than or equal to the change rate.

[0064] Step S33: If it is determined that there is no force pattern in the second acquisition dataset, then based on the pressure values of the respective pressure sensors in the second acquisition dataset, determine the time interval ratio of each pressure sensor, formulate an adjustment plan according to the time interval ratio of the pressure sensor, and adjust the wind turbine based on the adjustment plan.

[0065] In this embodiment, by judging the regularity of the second acquisition dataset, different adjustment plans are formulated, making the adjustment plan more effective. Obtain the adjustment rate of the adjustment plan under the force pattern, and compare the adjustment rate with the change rate to determine the execution method of the adjustment plan, thereby improving the effectiveness of executing the adjustment plan. For the situation where real-time adjustment cannot be performed, judge the relationship between the force pattern and the blade rotation, adjust the blades with correlation to reduce the adjustment rate, judge the multiple relationship for the non-correlated situation, and thus select the adjustment plan to execute part of the plan, thereby minimizing the impact of the wind on the wind turbine to the greatest extent.

[0066] Exemplarily, when it is determined that the force of the blade on the hub has a pattern, the wind turbine can be adjusted collaboratively to eliminate the imbalance of the force of the blade on the hub. After determining the adjustment plan, compare the time required for the collaborative adjustment of the adjustment plan with the change time of the regular change 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, then the adjustment rate is greater than the change rate, so synchronous adjustment can be achieved. Conversely, if the change rate is 6, synchronous adjustment cannot be performed. For the situation where synchronous adjustment cannot be performed, select part of the plan to partially eliminate the unbalanced force. For example, if the adjustment plan is to adjust in three directions, and the adjustment times required are a: 8, b: 7, c: 10 respectively, then a and c can be selected. When the change occurs, adjust the wind turbine in advance to point a, and when the acting force transfers to point b, adjust the wind turbine to point c according to the adjustment plan. Thus, to a certain extent, reduce the impact of the wind on the wind turbine.

[0067] It also includes judging the force pattern and the rotation of the blade. For example, every time the blade rotates to point a, the pressure at point a increases and needs to be adjusted, then the rotation speed of the blade to point a can be reduced, thereby lengthening the change rate and enabling real-time adjustment of the wind turbine.

[0068] In step S33, if it is determined that there is no force pattern in the second acquisition dataset, then based on the pressure values of the respective pressure sensors in the second acquisition dataset, determine the time interval ratio of each pressure sensor, formulate an adjustment plan according to the time interval ratio of the pressure sensor, and adjust the wind turbine based on the adjustment plan, including the following steps:

[0069] Step S331: Obtain the time interval ratio when the force is evenly distributed in the second time dataset, compare the time interval ratio when the force is evenly distributed with the time interval ratios of each pressure sensor, and determine the first adjustability;

[0070] Step S332: If it is determined that the first adjustability is adjustable, formulate a corresponding adjustment plan according to the second sub-dataset corresponding to the largest time interval ratio, and adjust the wind turbine according to the adjustment plan;

[0071] Step S333: If it is determined that the first adjustability is not adjustable, according to the positional adjacency relationship, count the second sub-datasets of two adjacent pressure sensors to obtain the corresponding second combined sub-dataset, and judge the adjustability of the second combined sub-dataset to obtain the second adjustability, and formulate a corresponding adjustment plan according to the second adjustability.

[0072] Step S333a: If it is determined that the second adjustability is not adjustable, calculate the average value of the force conditions to obtain the average force data;

[0073] Step S333b: Based on the average force data and the force conditions of each pressure sensor in the second dataset, formulate a corresponding adjustment plan, and adjust the wind turbine according to the adjustment plan.

[0074] In this embodiment, by matching the time interval ratio of a single pressure sensor with the time interval ratio when the force is evenly distributed, it is determined whether the adjustment effect when adjusting a single pressure sensor can reduce the impact of the wind on the wind turbine. After determining that the adjustment of a single pressure sensor cannot reduce the impact, by adjusting two adjacent pressure sensors and then judging, and adjusting the average value of all pressure sensors and then judging, the finally formulated adjustment plan can minimize the impact of the wind on the wind turbine.

[0075] Exemplarily, when it is determined that the force exerted by the blade on the hub is irregular, it indicates that the wind force and wind direction are irregular. As a result, when adjusting the wind turbine, the time period with uniform force will become non-uniform due to the adjustment, and the time period with non-uniform force will become uniform or the force will be reduced due to the adjustment. Therefore, when making the adjustment, it is necessary to first determine whether the time period with uniform force increases or decreases after the adjustment. When it is determined that the proportion of the time interval after adjusting the problem corresponding to a single pressure sensor increases, 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 decreases, the problems corresponding to multiple adjacent pressure sensors are statistically analyzed to determine whether the pressure between the blade and the hub decreases after adjusting the multiple pressure sensors. If it decreases, it is determined that it is adjustable, and a corresponding adjustment plan is generated according to the problems corresponding to the two adjacent pressure sensors. If it is determined that there is no decrease, a mean value judgment is made, and a corresponding adjustment plan is generated according to the average force data to reduce the overall force between the blade and the hub, thereby minimizing the mechanical fatigue caused by the long-term force on the mechanical components and further affecting the service life of the wind turbine.

[0076] In step S4, the force condition during the adjustment process is continuously collected to obtain a third collection data set, and the third collection 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:

[0077] Step S41: According to the time data, mark the adjustment effect after the adjustment is completed as the final adjustment effect, compare the continuous adjustment effect during the adjustment process with the final adjustment effect to determine whether there is a situation where the adjustment effect is better than the final adjustment effect;

[0078] Step S42: If it is determined that there is a situation where the adjustment effect is better than the final adjustment effect, read the adjustment data corresponding to the corresponding adjustment effect, and re-adjust and re-evaluate the wind turbine according to the read data to obtain a fourth adjustment effect;

[0079] Step S43: Compare the fourth adjustment effect with the corresponding adjustment effect in the second collection 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 collection data set, the wind turbine state corresponding to the fourth adjustment effect is the final adjustment state;

[0080] Step S44: If it is determined that the fourth adjustment effect is different from the corresponding adjustment effect in the second acquisition dataset, the wind turbine is readjusted according to the data in the continuous adjustment effect where the adjustment effect is greater than the final adjustment effect until there is no data in the continuous adjustment effect where the adjustment effect is greater than the final adjustment effect.

[0081] In this embodiment, by monitoring the force condition during the adjustment process, it is determined whether there is a situation where the adjustment effect is better than the final adjustment effect during the adjustment process. If it is determined that there is such a situation, the wind turbine is readjusted and re-evaluated according to the adjustment data corresponding to the adjustment effect, and the fourth adjustment effect after evaluation is compared with the adjustment effect during the corresponding adjustment process to determine the stability of the adjustment effect. When it is determined that it has stability, the adjustment data corresponding to this 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 is adjusted in sequence until there is no adjustment effect better than the final adjustment effect, so that the adjustment effect of the adjusted wind turbine is the best, improving the accuracy and effectiveness of the adjustment, and thus minimizing the impact of the wind on the wind turbine to the greatest extent.

[0082] Exemplarily, since the force exerted by the wind on the blade is irregular, 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, by monitoring and evaluating the adjustment process, all adjustment effects during the adjustment process are obtained, and the adjustment effect during the adjustment process is compared with the final adjustment effect to determine whether there is an adjustment effect of a certain adjustment data better than the final adjustment effect during the adjustment process. The adjustment data better than the final adjustment effect is selected and the wind turbine is readjusted, and the adjusted adjustment data is compared with the corresponding adjustment data to determine whether the adjustment data 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.

[0083] If a stable adjustment result can be achieved, this adjustment result is used as the final adjustment result of the wind turbine. Otherwise, the adjustment data where the adjustment effect during the adjustment process is better than the final adjustment effect is compared in sequence to determine the final adjustment result.

[0084] Compared with the existing control method of wind turbines, the present invention reduces the impact of the wind on the wind turbine.

[0085] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereby. Therefore, all equivalent changes made according to the structure, shape, and principle of the present application should be covered within the protection scope of the present application.

Claims

1. A control method for a wind turbine, characterized in that, Including: Step S1: Collect the force condition between the blade and the hub based on a pressure sensor to obtain first collected data, and determine the evenness of the force on the first collected data. Step S2: If it is determined that the first collected data is unevenly stressed, then statistically analyze the first collected data based on a built-in time span interval to obtain a second collected data set, and determine the evenness of the force on the second collected data set to determine the proportion of the time interval when the force is uneven in the second collected data set. Step S3: Judge the early warning value of the time interval proportion, formulate a solution for the situation where the time proportion is greater than the early warning value to obtain an adjustment solution, and adjust the wind turbine based on the adjustment solution. Step S31: Judge the regularity of the second collected data set to determine whether there is a force pattern in the second collected data set. Step S32: If it is determined that there is a force pattern in the second collected data set, then formulate a corresponding adjustment solution according to the force pattern and adjust the wind turbine based on the adjustment solution. Step S33: If it is determined that there is no force pattern in the second collected data set, then determine the time interval proportion of each pressure sensor according to the pressure values of each pressure sensor in the second collected data set, formulate an adjustment solution according to the time interval proportion of the pressure sensor, and adjust the wind turbine based on the adjustment solution. Step S331: Obtain the proportion of the time interval when the force is even in the second time data set, compare the proportion of the time interval when the force is even 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, then formulate a corresponding adjustment solution according to the second sub-data set corresponding to the largest time interval proportion and adjust the wind turbine according to the adjustment solution. Step S333: If it is determined that the first adjustability is not adjustable, then statistically analyze the second sub-data sets of two adjacent pressure sensors according to the adjacent position relationship to obtain a corresponding second combined sub-data set, judge the adjustability of the second combined sub-data set to obtain the second adjustability, and formulate a corresponding adjustment solution according to the second adjustability. Step S4: Continuously collect the force condition during the adjustment process to obtain a third collected data set, judge the third collected 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. The control method of 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 areas where compression or deformation occurs.

3. A control method for a wind turbine according to claim 2, characterized in that: Step S2 specifically includes: Group the pressure sensors according to the connection relationship between the blade and the hub to obtain a pressure sensor group. Compare the first collected data of the pressure sensor group, determine that the situation where the pressure values in the pressure sensor group are not equal is uneven stress, and continuously collect the pressure values of the pressure sensor group based on the time span interval to obtain a second collected data set. Compare the pressure values of the second collected data set, and perform time statistics on the situation of uneven stress in the second time data set to obtain the corresponding time interval proportion.

4. The control method of a wind turbine according to claim 3, characterized in that Step S32 specifically includes: Obtain the adjustment rate of the adjustment plan and the change rate of the force application law, compare the adjustment rate with the change rate, and determine whether the adjustment rate is less than the change rate; If the adjustment rate is greater than or equal to the change rate, adjust the adjustment plan in real time according to the change rate; If the adjustment rate is less than the change rate, select the adjustment plan according to the multiple relationship between the change rate and the adjustment rate to obtain the execution plan, and adjust the wind turbine according to the execution plan.

5. A control method for a wind turbine according to claim 4, characterized in that: Step S32 also includes: When it is determined that the adjustment rate is less than the change rate, judge the force application law and the rotation of the blade to determine whether the force application law is related to the blade rotation; If it is determined that the force application law is related to the blade rotation, adjust the blade rotation according to the change rate of the force application law until the adjustment rate of the adjustment plan is greater than or equal to the change rate.

6. The control method of a wind turbine according to claim 1, characterized in that: Step S333 is specifically: If it is determined that the second adjustability is non-adjustable, calculate the average value of the force application situation to obtain the average force application data; Based on the average force application data and the force application situations of each pressure sensor in the second dataset, formulate the corresponding adjustment plan, and adjust the wind turbine according to the adjustment plan.

7. A control method for a wind turbine according to claim 6, characterized in that: Step S4 is specifically: According to the time data, mark the adjustment effect after adjustment as the final adjustment effect, compare the continuous adjustment effect during the adjustment process with the final adjustment effect, and 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 better than the final adjustment effect, read the adjustment data corresponding to the corresponding adjustment effect, and re-adjust and re-evaluate the wind turbine according to the read data to obtain the fourth adjustment effect; Compare the fourth adjustment effect with the corresponding adjustment effect in the second acquisition dataset 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 acquisition dataset, the wind turbine state 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 acquisition dataset, re-adjust the wind turbine according to the data in the continuous adjustment effect where the adjustment effect is greater than the final adjustment effect until there is no data in the continuous adjustment effect where the adjustment effect is greater than the final adjustment effect.

Images