Method, device, equipment and storage medium for determining blade stiffness of wind turbine generator set

Abstract

The present invention relates to the field of wind turbines, and discloses a method, device, equipment and computer-readable storage device for determining blade stiffness of a wind turbine. The method for determining blade stiffness includes: dividing a blade to be set into multiple blade segments, and setting m groups of preset stiffness coefficients; obtaining the corresponding aeroelastic damping under each group of preset stiffness coefficients for the blade to be set respectively under the condition of each group of preset stiffness coefficients; screening out the preset stiffness coefficients whose corresponding aeroelastic damping is greater than the set threshold; and then determining a group of preset stiffness coefficients with the smallest corresponding fitness as the stiffness coefficients corresponding to each blade segment on the blade to be set, so as to determine the stiffness of the blade to be set according to the stiffness coefficient. The present application realizes the automatic optimization of the blade stiffness coefficient, and improves the efficiency of blade stiffness determination to a certain extent; on the basis of ensuring the stable operation of the blade, it avoids the problem of excessive stiffness margin and reduces the cost of the wind turbine.

Description

Technical Field

[0001] The present invention relates to the technical field of wind turbine generator systems, and in particular to a method, device, equipment and computer-readable storage medium for determining blade stiffness of a wind turbine generator system. Background Art

[0002] With the development of wind power technology, wind turbines are becoming larger and larger, and the blade length of wind turbines is gradually increasing. In the design process of large blades, the pre-bending and torsion of the blades are set, and even the swept design is used to reduce the load, so as to obtain lighter and softer blades, reducing the aerodynamic and structural damping of the blades. Under the interaction of aerodynamic force, elastic force and inertial force, large-scale nonlinear deformations such as blade flapping, swing and torsion are coupled with each other, making the blades prone to aeroelastic instability.

[0003] In order to ensure the safe operation of the blade, the traditional method is to lay multiple layers of materials that change the blade stiffness inside the blade, and verify whether the blades with different stiffness will experience aeroelastic instability during operation, so as to determine the appropriate stiffness of the blade. This method of determining the blade stiffness depends to a certain extent on the personal experience of engineers and is time-consuming and labor-intensive, and may also cause the problem of large stiffness margin of the blade stiffness. Summary of the invention

[0004] The purpose of the present invention is to provide a method, device, equipment and computer-readable storage medium for determining the blade stiffness of a wind turbine, which simplifies the difficulty of determining the blade stiffness in a wind turbine to a certain extent and avoids the problem of excessive blade stiffness margin while ensuring the stability of blade operation.

[0005] In order to solve the above technical problems, the present invention provides a method for determining blade stiffness of a wind turbine generator set, comprising:

[0006] Divide the blade to be set into multiple blade segments, and set m groups of preset stiffness coefficients; wherein each group of the preset stiffness coefficients includes a preset stiffness coefficient corresponding to each blade segment;

[0007] Simulating the operation process of the blade to be set under the condition of satisfying each group of the preset stiffness coefficients at different wind speeds, and obtaining the aeroelastic damping of the blade to be set corresponding to each group of the preset stiffness coefficients;

[0008] Selecting at least one set of preset stiffness coefficients whose corresponding gas elastic damping is greater than a set threshold value from each set of preset stiffness coefficients;

[0009] According to the preset stiffness coefficients after screening, a group of preset stiffness coefficients with the smallest corresponding fitness are determined as the stiffness coefficients corresponding to each blade segment on the blade to be set, so as to determine the stiffness of the blade to be set according to the stiffness coefficients; wherein the fitness corresponding to each group of the preset stiffness coefficients is the sum of the individual preset stiffness coefficients in each group of the preset stiffness coefficients.

[0010] Optionally, according to the screened preset stiffness coefficients, a set of preset stiffness coefficients with the smallest corresponding fitness is determined as the stiffness coefficients corresponding to each blade segment on the blade to be set, including:

[0011] Performing fitness calculations on the multiple groups of preset stiffness coefficients after screening, respectively, and determining a group of preset stiffness coefficients with the smallest fitness among the multiple groups of preset stiffness coefficients after screening as the optimal stiffness coefficient group;

[0012] Performing cross-mutation on the screened multiple groups of preset stiffness coefficients to obtain updated m groups of preset stiffness coefficients; wherein the updated m groups of preset stiffness coefficients include the screened multiple groups of preset stiffness coefficients;

[0013] The updated m groups of preset stiffness coefficients are re-executed to simulate the operation process of the blade to be set under the condition of satisfying each group of preset stiffness coefficients at different wind speeds, until the optimal stiffness coefficient group of the first set number of groups is obtained;

[0014] An optimal stiffness coefficient group with the smallest fitness is selected from each group of the optimal stiffness coefficient groups, and each preset stiffness coefficient in the optimal stiffness coefficient group with the smallest fitness is used as the stiffness coefficient corresponding to each blade segment on the blade to be set.

[0015] Optionally, performing cross-mutation on the screened multiple groups of preset stiffness coefficients includes:

[0016] Performing a difference operation on each of the preset stiffness coefficients in each group and the set minimum stiffness coefficient, and performing a binary conversion on the operation result to obtain a binary difference corresponding to each of the preset stiffness coefficients in each group;

[0017] Exchanging data of two different binary difference values ​​corresponding to each blade segment in two different sets of the preset stiffness coefficients at at least one position to obtain two new binary difference values;

[0018] The two new binary difference values ​​are converted into decimal and then summed with the set minimum stiffness coefficient respectively to obtain two new preset stiffness coefficients corresponding to each blade segment.

[0019] Optionally, selecting at least one group of preset stiffness coefficients whose corresponding gas elastic damping is greater than a set threshold from each group of preset stiffness coefficients includes:

[0020] When the gas elastic damping corresponding to each group of the preset stiffness coefficients is greater than the set threshold, a second set number of groups of preset stiffness coefficients with the smallest adaptability are selected from each group of the preset stiffness coefficients.

[0021] Optionally, selecting at least one group of preset stiffness coefficients whose corresponding gas elastic damping is greater than a set threshold from each group of preset stiffness coefficients includes:

[0022] At least one group of preset stiffness coefficients whose corresponding first-order gas-elastic damping and second-order gas-elastic damping are both greater than a set threshold is selected from each group of preset stiffness coefficients.

[0023] Optionally, simulating the operation process of the blade to be set under the condition of satisfying each group of the preset stiffness coefficients at different wind speeds includes:

[0024] Multiplying each of the preset stiffness coefficients in each group by the reference stiffness to obtain multiple groups of blade stiffnesses;

[0025] The bladed simulation software is used to simulate the operating state of the blade to be set under different wind speeds when each group of blade stiffness conditions are met.

[0026] A device for determining blade stiffness of a wind turbine generator system, comprising:

[0027] A coefficient setting module, used for dividing the blade to be set into multiple blade segments, and setting m groups of preset stiffness coefficients; wherein each group of the preset stiffness coefficients includes a preset stiffness coefficient corresponding to each blade segment;

[0028] An operation simulation module is used to simulate the operation process of the blade to be set under the condition of satisfying each group of the preset stiffness coefficients at different wind speeds, and obtain the aeroelastic damping of the blade to be set corresponding to each group of the preset stiffness coefficients;

[0029] A coefficient screening module, used to screen out at least one set of preset stiffness coefficients whose corresponding gas elastic damping is greater than a set threshold value from each set of preset stiffness coefficients;

[0030] A coefficient optimization module is used to determine a group of preset stiffness coefficients with the smallest corresponding fitness according to the screened preset stiffness coefficients as the stiffness coefficients corresponding to each blade segment on the blade to be set, so as to determine the stiffness of the blade to be set according to the stiffness coefficients; wherein the fitness corresponding to each group of the preset stiffness coefficients is the sum of the individual preset stiffness coefficients in each group of the preset stiffness coefficients.

[0031] Optionally, the coefficient optimization module includes:

[0032] A first operation unit is used to perform fitness operations on the multiple groups of preset stiffness coefficients after screening, and determine a group of preset stiffness coefficients with the smallest fitness among the multiple groups of preset stiffness coefficients after screening as the optimal stiffness coefficient group;

[0033] A second operation unit is used to perform cross-mutation on the screened multiple groups of preset stiffness coefficients to obtain updated m groups of preset stiffness coefficients; wherein the updated m groups of preset stiffness coefficients include the screened multiple groups of preset stiffness coefficients;

[0034] A third operation unit is used to re-execute the step of simulating the operation process of the blade to be set under the condition of satisfying each set of the preset stiffness coefficients at different wind speeds, using the updated m sets of preset stiffness coefficients, until an optimal stiffness coefficient group of the first set number of groups is obtained;

[0035] The fourth operation unit is used to select a group of optimal stiffness coefficient groups with the smallest fitness from each group of the optimal stiffness coefficient groups, and use each preset stiffness coefficient in the group of the optimal stiffness coefficient groups with the smallest fitness as the stiffness coefficient corresponding to each blade segment on the blade to be set.

[0036] A device for determining blade stiffness of a wind turbine generator system, comprising:

[0037] Memory for storing computer programs;

[0038] A processor is used to execute the computer program to implement the steps of the method for determining the blade stiffness of a wind turbine as described in any one of the above items.

[0039] A computer-readable storage medium stores a computer program, wherein the computer program is executed by a processor to implement the steps of the method for determining blade stiffness of a wind turbine as described in any one of the above items.

[0040] The present invention provides a method, device, equipment and a computer-readable storage device for determining blade stiffness of a wind turbine set. The method comprises: dividing a blade to be set into a plurality of blade segments, and setting m groups of preset stiffness coefficients; wherein each group of preset stiffness coefficients includes a preset stiffness coefficient corresponding to each blade segment; simulating the operation process of the blade to be set at different wind speeds under the condition of each group of preset stiffness coefficients, and obtaining the corresponding aeroelastic damping of the blade to be set under the condition of each group of preset stiffness coefficients; selecting the corresponding preset stiffness coefficient whose aeroelastic damping is greater than a set threshold value from each group of preset stiffness coefficients; according to the selected preset stiffness coefficients, determining a group of preset stiffness coefficients with the smallest corresponding fitness as the stiffness coefficients corresponding to each blade segment on the blade to be set, so as to determine the stiffness of the blade to be set according to the stiffness coefficient; wherein the fitness corresponding to each group of preset stiffness coefficients is the sum of each preset stiffness coefficient in each group of preset stiffness coefficients.

[0041] In the present application, the blades are divided into several blade segments, and the stiffness coefficient is set for each blade segment respectively, so as to realize the detailed setting of the stiffness coefficients at different positions on the blades. On this basis, the operation state of the blades under multiple sets of set stiffness coefficients is simulated, and finally a set of preset stiffness coefficients with aeroelastic damping greater than the set threshold and the minimum fitness are screened out. The blade stiffness can be determined based on the set of preset stiffness coefficients. During the whole process, there is no need to actually lay material layers on the blades, so as to realize automatic optimization of the blade stiffness coefficient, thereby improving the efficiency of determining the blade stiffness to a certain extent. On this basis, the conditions for screening the stiffness coefficient are that the aeroelastic damping meets the set threshold and the fitness is minimum, so as to avoid the problem of excessive stiffness margin on the basis of ensuring stable operation of the blades, thereby reducing the cost of the wind turbine to a certain extent. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0043] Figure 1 A schematic diagram of a flow chart of a method for determining blade stiffness of a wind turbine provided in an embodiment of the present application;

[0044] Figure 2 A structural block diagram of a device for determining blade stiffness of a wind turbine generator set provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0045] In the traditional process of manually adjusting the stiffness of the blades by engineers, the process is highly dependent on the personal experience of the engineers. As the size of the blades gradually increases, the difficulty of laying the material layers that change the stiffness of the blades further increases, and each different method of laying the material layers needs to be verified one by one. This largely results in low efficiency in setting the stiffness of the blades. Even if the final stiffness is determined so that the blades will not experience aeroelastic instability, it is difficult to obtain the optimal stiffness distribution of the blades, and too large a stiffness margin will also increase the cost of the blades to a certain extent.

[0046] To this end, the present application provides a technical solution for determining the blade stiffness of a wind turbine, which not only improves the efficiency of determining the blade stiffness and ensures the stable operation of the blade, but also reduces the stiffness margin of the blade, which is beneficial to improving the economic benefits of the wind turbine.

[0047] In order to enable those skilled in the art to better understand the scheme of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific implementation methods. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0048] like Figure 1 As shown, Figure 1 A schematic flow chart of a method for determining blade stiffness of a wind turbine provided in an embodiment of the present application. The method for determining blade stiffness of a wind turbine may include:

[0049] S11: Divide the blade to be set into multiple blade segments, and set m groups of preset stiffness coefficients.

[0050] Each set of preset stiffness coefficients includes a preset stiffness coefficient corresponding to each blade segment.

[0051] It can be understood that in this embodiment, the blade to be set is divided into segments, mainly along the span direction of the blade, and the blade to be set can be divided evenly, or the blade segment divided into segments with a gentle stiffness change can be longer based on the experience of the staff. Of course, if the chord-wise dimension of the blade is too large, the blade to be set can also be divided into segments in both the span direction and the chord direction, and this is not specifically limited in this embodiment.

[0052] When actually setting the stiffness coefficient, a reference stiffness can be preset. The product of the stiffness coefficient corresponding to each blade segment and the reference stiffness is the stiffness corresponding to the blade segment. Each set of preset stiffness coefficients can determine the complete stiffness of a blade to be set.

[0053] In addition, when setting each set of preset stiffness coefficients, each preset stiffness coefficient should be within a certain range; for example, each preset stiffness coefficient can take a value between 0.9 and 1.2, that is, for each blade segment, the minimum stiffness coefficient is 0.9 and the maximum stiffness coefficient is 1.2.

[0054] S12: simulating the operation process of the blade to be set under the condition of satisfying each set of preset stiffness coefficients at different wind speeds, and obtaining the aeroelastic damping of the blade to be set corresponding to each set of preset stiffness coefficients.

[0055] As mentioned above, each set of preset stiffness coefficients can determine the complete stiffness of a blade to be set. When the operating state of the blade to be set under each set of preset stiffness coefficients is simulated, the obtained aeroelastic damping is the parameter that characterizes the stability of the operating state of the blade to be set under the set of preset stiffness coefficients.

[0056] When simulating each set of preset stiffness coefficients, the preset stiffness coefficients of the set and the reference stiffness can be multiplied to obtain the preset stiffness of each blade segment on the blade to be set, and the set of preset stiffness is substituted into the simulation software as input to simulate the operation process of the blade. The simulation software can specifically adopt bladed simulation software.

[0057] Because the wind force that the blades are subjected to during actual operation is not fixed, in order to ensure the integrity of the simulation of the operation process of the blades to be set, the operation status of each set of blades to be set with preset stiffness coefficients under different wind speed conditions should be simulated separately.

[0058] S13: Select at least one set of preset stiffness coefficients whose corresponding gas elastic damping is greater than a set threshold value from each set of preset stiffness coefficients.

[0059] As mentioned above, in the process of simulating the blades to be set corresponding to each set of preset stiffness coefficients, it is necessary to simulate the operation process under a variety of different wind speed conditions, and each set of blades to be set with each set of preset stiffness coefficients can obtain a corresponding set of aeroelastic damping under each wind speed condition.

[0060] Correspondingly, in this embodiment, the aeroelastic damping corresponding to each set of preset stiffness coefficients being greater than the set threshold value means that the aeroelastic damping obtained by the blade to be set that meets the set of preset stiffness coefficients under each wind speed condition is greater than the set threshold value.

[0061] Under normal conditions, the aeroelastic damping obtained by the blade to be set that meets each set of preset stiffness coefficients under each wind speed condition includes at least first-order aeroelastic damping and second-order aeroelastic damping; in order to ensure the stability of the operation of the blade to be set, when screening each set of preset stiffness coefficients, the corresponding first-order aeroelastic damping and second-order aeroelastic damping can be screened out, and the preset stiffness coefficients are both greater than the set threshold. The set threshold can be set to 0. Generally, as long as the size of the aeroelastic damping is positive, the stability of the operation of the blade to be set can be guaranteed.

[0062] S14: According to the screened preset stiffness coefficients, a set of preset stiffness coefficients with the minimum corresponding fitness is determined as the stiffness coefficients corresponding to each blade segment on the blade to be set, so as to determine the stiffness of the blade to be set according to the stiffness coefficients.

[0063] The fitness corresponding to each set of preset stiffness coefficients is the sum of each preset stiffness coefficient in each set of preset stiffness coefficients.

[0064] When the elastic damping corresponding to each set of preset stiffness coefficients is selected and the corresponding elastic damping is greater than the preset stiffness coefficient, generally multiple sets of preset stiffness coefficients can be selected. Under the condition that the aeroelastic damping meets the requirements, the smaller the fitness of each set of preset stiffness coefficients, the smaller the blade stiffness margin is, and the lower the blade manufacturing cost is. Therefore, a set of preset stiffness coefficients with the smallest fitness can be determined among the multiple sets of preset stiffness coefficients whose corresponding aeroelastic damping meets the requirements; obviously, this set of preset stiffness coefficients is a set of preset stiffness coefficients with the smallest stiffness margin among the multiple sets of preset stiffness coefficients that meet the elastic damping greater than the set threshold. Using this as the final stiffness coefficient of the blade can reduce the cost of the blade on the basis of ensuring the stability of the blade operation.

[0065] Of course, when screening each group of preset stiffness coefficients based on elastic damping, extreme cases may also exist; for example, the elastic damping corresponding to each group of preset stiffness coefficients is not greater than the set threshold, that is, all preset stiffness coefficients do not meet the requirements; at this time, the m groups of preset stiffness coefficients can be reset, and the above steps S12 to S14 can be performed again.

[0066] It is also possible that the elastic damping corresponding to each set of preset stiffness coefficients is greater than the set threshold, that is, all the preset stiffness coefficients meet the requirements. In order to optimize the preset stiffness coefficients, it is possible to further select based on fitness, and select the second set number of preset stiffness coefficients with the smallest fitness from each set of preset stiffness coefficients, and the second set number of groups can be half of the m groups.

[0067] There may also be only one set of preset stiffness coefficients whose corresponding elastic damping is greater than the set threshold value, then this set of preset stiffness coefficients can be used as a set of preset stiffness coefficients with the minimum fitness.

[0068] However, it is further considered that, regardless of whether the preset stiffness coefficients remaining after the elastic damping screening are one group or multiple groups, the group of preset stiffness coefficients with the smallest fitness finally determined may not be the optimal preset stiffness coefficients. Therefore, in another optional embodiment of the present application, for the above-mentioned step S14, according to the screened preset stiffness coefficients, the process of determining the corresponding group of preset stiffness coefficients with the smallest fitness as the stiffness coefficients corresponding to each blade segment on the blade to be set may include:

[0069] S141: performing fitness calculations on the multiple groups of preset stiffness coefficients after screening, respectively, and determining a group of preset stiffness coefficients with the smallest fitness among the multiple groups of preset stiffness coefficients after screening as the optimal stiffness coefficient group.

[0070] S142: performing cross-mutation on the screened multiple groups of preset stiffness coefficients to obtain updated m groups of preset stiffness coefficients.

[0071] The updated m groups of preset stiffness coefficients include the selected multiple groups of preset stiffness coefficients.

[0072] There may be multiple forms of cross-mutation of the multiple groups of preset stiffness coefficients after screening to obtain new preset stiffness coefficients.

[0073] Optionally, the process of performing cross-mutation on the selected multiple groups of preset stiffness coefficients may include:

[0074] S1421: performing a difference operation on each preset stiffness coefficient and the set minimum stiffness coefficient in each group, and performing a binary conversion on the operation result to obtain a binary difference corresponding to each preset stiffness coefficient in each group.

[0075] S1422: exchanging data of at least one position of two different binary difference values ​​corresponding to each blade segment in two different sets of preset stiffness coefficients to obtain two new binary difference values.

[0076] S1423: After converting the two new binary difference values ​​into decimal, the two new preset stiffness coefficients are summed with the set minimum stiffness coefficients to obtain two new preset stiffness coefficients corresponding to each blade segment.

[0077] As mentioned above, when setting the preset stiffness coefficient of each blade segment, each preset stiffness coefficient is within the interval between the maximum stiffness coefficient and the minimum stiffness coefficient; the set minimum stiffness coefficient in this embodiment is also the minimum stiffness coefficient in the interval range of the set preset stiffness coefficient.

[0078] For example, the minimum stiffness coefficient is set to 0.9, and the corresponding preset stiffness coefficients of a blade segment in the two sets of preset stiffness coefficients are 0.98 and 1.1 respectively. The differences between 0.98 and 1.1 and the set minimum stiffness coefficient are 0.08 and 0.2 respectively. In order to realize the binary conversion of the two differences, the two differences are respectively enlarged by 100 times, or two positive integer differences, namely 8 and 20, and the two positive integer differences are represented in binary, namely 01000 and 10100, thereby obtaining two binary differences.

[0079] Cross-mutation is performed on two binary differences, that is, the data of at least one position between 01000 and 10100 is exchanged. For example, the third bit data of the two binary differences is exchanged, that is, the third bit data 0 in 01000 is replaced by the third bit data 1 in 10100, and a new binary difference value 01100 is obtained, and the third bit data 1 in 10100 is replaced by the third bit data 0 in 01100, and a new binary difference value 10000 is obtained. Thus, the two new binary differences after the exchange are 01100 and 10000; similarly, the first bit data and the second bit data of the two binary differences can also be exchanged, or a segment of several data on the two binary differences can be cut off and exchanged at the same time, as long as the binary difference value obtained after the exchange is different from the original binary difference.

[0080] After obtaining the new binary difference, it is necessary to perform decimal conversion, or inverse binary conversion, so that the binary difference is converted into a new decimal difference. For example, the two binary differences 01100 and 10000 are first converted into decimal data, that is, 12 and 16. After 12 and 16 are reduced by 100 times, they are added to the set minimum stiffness coefficient 0.9 to obtain two new preset stiffness coefficients of 1.02 and 1.06 respectively. In a similar manner, the two preset stiffness coefficients corresponding to each blade segment in any two sets of preset stiffness coefficients can be cross-mutated to obtain two new preset stiffness coefficients corresponding to the blade segment.

[0081] When obtaining a new set of preset stiffness coefficients, only the preset stiffness coefficients of one of the blade segments whose corresponding aeroelastic damping is greater than the preset stiffness coefficients in the original set can be updated to obtain a new set of preset stiffness coefficients; or the preset stiffness coefficients corresponding to some or all of the blade segments in each set of preset stiffness coefficients can be updated to obtain a new set of preset stiffness coefficients.

[0082] Because before obtaining new multiple groups of preset stiffness coefficients, at least one group of preset stiffness coefficients obtained by screening also meets the requirement that the corresponding gas elastic damping is greater than the set threshold, therefore, the new multiple groups of preset stiffness coefficients and at least one group of preset stiffness coefficients screened previously can be combined to form m groups of preset stiffness coefficients.

[0083] It can be understood that when only one set of preset stiffness coefficients remains after screening based on gas elastic damping, each preset stiffness coefficient in the group can be differenced with the set minimum stiffness coefficient, and the difference can be converted into a binary value to obtain a binary difference. The data in the previous position of the binary difference is changed from 0 to 1 or from 1 to 0, so as to obtain a new preset stiffness coefficient; similarly, each preset stiffness coefficient is transformed in a similar manner to obtain a new set of preset stiffness coefficients that are completely different from the set of preset stiffness coefficients before the transformation, and cross-mutation is performed based on the two sets of preset stiffness coefficients, and this process is repeated to obtain more sets of new preset stiffness coefficients based on the new set of preset stiffness coefficients, and finally multiple sets of new preset stiffness coefficients can be obtained.

[0084] The above is only one embodiment of cross-mutation based on at least one group of preset stiffness coefficients after screening. In practical applications, it is not limited to the above implementation mode. The essence of the above embodiment is to cross-mutate the difference between each preset stiffness coefficient and the set minimum stiffness coefficient in each group to ensure that the preset stiffness coefficient before and after the cross-mutation is always within the range of the maximum stiffness coefficient and the minimum stiffness coefficient; but in practical applications, it is not excluded to perform difference operations with the maximum stiffness coefficient and the minimum stiffness coefficient respectively, and perform further cross-mutation based on the results of the two difference operations; or perform difference operations with the average value of the maximum stiffness coefficient and the minimum stiffness coefficient, and then perform mutation.

[0085] Moreover, before performing binary conversion on the difference between the preset stiffness coefficient and the set minimum stiffness coefficient, how many times the difference needs to be expanded depends on how many decimal places the set stiffness coefficient is accurate to. If it is accurate to one decimal place, it needs to be expanded 10 times. If it is accurate to three decimal places, it needs to be expanded 1000 times. In short, all differences need to be converted into positive integers.

[0086] In addition, the difference between the preset stiffness coefficient and the set minimum stiffness coefficient does not necessarily require binary conversion before cross-mutation. A new preset stiffness coefficient can be obtained by simply increasing or decreasing the difference appropriately, or by considering using various genetic algorithms, or determining the variation direction of each group of preset stiffness coefficients based on computer learning training, etc., all of which can implement the technical solution of the present application, and no specific restrictions are made in this embodiment.

[0087] S143: After the m groups of preset stiffness coefficients are updated, the step of simulating the operation process of the blade to be set under the condition of satisfying each group of preset stiffness coefficients at different wind speeds is re-executed until the optimal stiffness coefficient group of the first set number of groups is obtained.

[0088] The step of re-executing the simulation of the operation process of the blade to be set at different wind speeds under each set of preset stiffness coefficients referred to in this embodiment is, the process of re-executing steps S12 to S141 based on the updated m sets of preset stiffness coefficients.

[0089] S144: selecting an optimal stiffness coefficient group with the smallest fitness from among the optimal stiffness coefficient groups, and using each preset stiffness coefficient in the optimal stiffness coefficient group with the smallest fitness as the stiffness coefficient corresponding to each blade segment on the blade to be set.

[0090] As mentioned above, each update of m groups of preset stiffness coefficients is equivalent to realizing an iteration of the preset stiffness coefficients, and in each iteration process, a group of optimal stiffness coefficient groups with aeroelastic damping greater than the set threshold and the smallest fitness can be found. This cycle is repeated, and when the number of iterations reaches the set number, the size of the set number is equal to the size of the first set number of groups, and the optimal stiffness coefficient group of the first set number of groups can be obtained. Finally, a group of optimal stiffness coefficient groups with the smallest fitness is selected from multiple optimal stiffness coefficient groups, and each stiffness coefficient in the optimal stiffness coefficient group is used as the stiffness coefficient of the blade to be set.

[0091] Based on the above discussion, as the number of iterations increases, each updated m set of preset stiffness coefficients includes one or more sets of preset stiffness coefficients whose gas-elastic damping meets the requirements in the previous iteration; eventually, the gas-elastic damping corresponding to the preset stiffness coefficients of the m sets may be greater than the set threshold. At this time, in order to achieve the optimization of the preset stiffness coefficients, it is possible to further select the second set number of sets of preset stiffness coefficients with the smallest fitness from each set of preset stiffness coefficients based on fitness, and the second set number of sets can be half of the m sets; after selecting multiple sets of preset stiffness coefficients with the smallest fitness, cross-mutation is performed based on the multiple sets of preset stiffness coefficients after selection, which can accelerate the optimization efficiency of the preset stiffness coefficients to a certain extent.

[0092] It is understandable that in practical applications, the number of iterations may not reach the required number of iterations; but the optimal stiffness coefficient group finally determined by continuously updating the m groups of preset stiffness coefficients after multiple variations are the same. At this time, the iteration can be interrupted and the optimal stiffness coefficient can be directly used as the final stiffness coefficient of the blade to be set.

[0093] In addition, in this embodiment, when setting the preset stiffness coefficients for each blade segment of the blade to be set, multiple sets of preset stiffness coefficients are set at the same time, and the gas-elastic damping corresponding to the multiple sets of preset stiffness coefficients is simulated respectively to illustrate the example, so as to select the best set of preset stiffness coefficients from the multiple sets of preset stiffness coefficients. This method of determining the stiffness coefficient of the blade to be set can speed up the efficiency of determining the stiffness coefficient to a certain extent. However, in practical applications, it is not excluded that only one set of preset stiffness coefficients is set each time, that is, the above m is 1. When only one set of preset stiffness coefficients is set, the gas-elastic damping corresponding to the set of preset stiffness coefficients is also obtained by simulation. If the gas-elastic damping is not greater than the set threshold, the preset stiffness coefficients are repeatedly iterated and updated until a set of preset stiffness coefficients with a corresponding gas-elastic damping greater than the set threshold is obtained, and on this basis, the preset stiffness coefficients are repeatedly iterated and updated until a set of preset stiffness coefficients with a corresponding elastic damping greater than the set threshold and a corresponding minimum fitness is obtained. It can be understood that each time the preset stiffness coefficient is iteratively updated, the optimization direction of updating the preset stiffness coefficient can be determined based on the previous set of preset stiffness coefficients, and finally the most optimized preset stiffness coefficient can be determined, which can also realize the technical solution in this application.

[0094] To summarize, in the present application, the blades of the wind turbine are divided into several blade segments, and the stiffness coefficient is set for each blade segment respectively, so as to realize the refined setting of the stiffness coefficients at different positions on the blades; the blade operating states of the blades to be set under multiple groups of different preset stiffness coefficients are simulated, and finally a group of preset stiffness coefficients with the corresponding aeroelastic damping greater than the set threshold and the minimum fitness are screened out, thereby making it possible for the blades to be set determined based on the group of preset stiffness coefficients to ensure their operating stability and avoid the problem of excessive stiffness margin, thereby reducing the cost of the wind turbine. During the whole process, there is no need to actually lay the material layer on the blades, so as to realize the automatic optimization of the blade stiffness coefficient, which improves the efficiency of blade stiffness determination to a certain extent.

[0095] The following is an introduction to a blade stiffness determination device for a wind turbine set provided by an embodiment of the present invention. The blade stiffness determination device for a wind turbine set described below and the blade stiffness determination method for a wind turbine set described above can be referred to each other.

[0096] Figure 2 The structural block diagram of the blade stiffness determination device of the wind turbine generator set provided by the embodiment of the present invention is shown in FIG. Figure 2 The blade stiffness determination device of the wind turbine generator set may include:

[0097] The coefficient setting module 100 is used to divide the blade to be set into multiple blade segments and set m groups of preset stiffness coefficients; wherein each group of the preset stiffness coefficients includes a preset stiffness coefficient corresponding to each blade segment;

[0098] The operation simulation module 200 is used to simulate the operation process of the blade to be set under the condition of satisfying each group of the preset stiffness coefficients at different wind speeds, and obtain the aeroelastic damping of the blade to be set corresponding to each group of the preset stiffness coefficients;

[0099] A coefficient screening module 300, for screening out at least one set of preset stiffness coefficients corresponding to the gas elastic damping greater than a set threshold value from each set of preset stiffness coefficients;

[0100] The coefficient optimization module 400 is used to determine a group of preset stiffness coefficients with the smallest corresponding fitness according to the preset stiffness coefficients after screening as the stiffness coefficients corresponding to each blade segment on the blade to be set, so as to determine the stiffness of the blade to be set according to the stiffness coefficients; wherein the fitness corresponding to each group of the preset stiffness coefficients is the sum of the individual preset stiffness coefficients in each group of the preset stiffness coefficients.

[0101] In an optional embodiment of the present application, the coefficient optimization module 400 includes:

[0102] A first operation unit is used to perform fitness operations on the multiple groups of preset stiffness coefficients after screening, and determine a group of preset stiffness coefficients with the smallest fitness among the multiple groups of preset stiffness coefficients after screening as the optimal stiffness coefficient group;

[0103] A second operation unit is used to perform cross-mutation on the screened multiple groups of preset stiffness coefficients to obtain updated m groups of preset stiffness coefficients; wherein the updated m groups of preset stiffness coefficients include the screened multiple groups of preset stiffness coefficients;

[0104] A third operation unit is used to re-execute the step of simulating the operation process of the blade to be set under the condition of satisfying each set of the preset stiffness coefficients at different wind speeds, using the updated m sets of preset stiffness coefficients, until an optimal stiffness coefficient group of the first set number of groups is obtained;

[0105] The fourth operation unit is used to select a group of optimal stiffness coefficient groups with the smallest fitness from each group of the optimal stiffness coefficient groups, and use each preset stiffness coefficient in the group of the optimal stiffness coefficient groups with the smallest fitness as the stiffness coefficient corresponding to each blade segment on the blade to be set.

[0106] In an optional embodiment of the present application, the second operation unit is specifically used to perform difference operation on each of the preset stiffness coefficients and the set minimum stiffness coefficient in each group, and perform binary conversion on the operation result to obtain the binary difference corresponding to each of the preset stiffness coefficients in each group; perform data exchange on at least one position of the two different binary difference values ​​corresponding to each blade segment in the two different groups of the preset stiffness coefficients to obtain two new binary difference values; perform decimal conversion on the two new binary difference values ​​and perform sum operation on them with the set minimum stiffness coefficient to obtain two new preset stiffness coefficients corresponding to each blade segment.

[0107] In an optional embodiment of the present application, the coefficient screening module 300 is specifically used to screen out a second set number of groups of preset stiffness coefficients with the smallest fitness from each group of the preset stiffness coefficients when the gas elastic damping corresponding to each group of the preset stiffness coefficients is greater than the set threshold.

[0108] In an optional embodiment of the present application, the coefficient screening module 300 is specifically used to screen out at least one group of preset stiffness coefficients whose corresponding first-order gas-elastic damping and second-order gas-elastic damping are both greater than a set threshold value from each group of preset stiffness coefficients.

[0109] In an optional embodiment of the present application, the operation simulation module 200 is specifically used to multiply each of the preset stiffness coefficients in each group by the reference stiffness to obtain multiple groups of blade stiffnesses; and use the bladed simulation software to simulate the operating state of the blade to be set at different wind speeds to meet the conditions of each group of blade stiffnesses.

[0110] The blade stiffness determination device of the wind turbine set of this embodiment is used to implement the blade stiffness determination method of the wind turbine set mentioned above. Therefore, the specific implementation method of the blade stiffness determination device of the wind turbine set can be seen in the embodiment part of the blade stiffness determination method of the wind turbine set in the previous text, and will not be repeated here.

[0111] The present application also provides an embodiment of a device for determining blade stiffness of a wind turbine generator set, which may include:

[0112] Memory for storing computer programs;

[0113] A processor is used to execute the computer program to implement the steps of the method for determining the blade stiffness of a wind turbine as described in any one of the above items.

[0114] The present application also provides a computer-readable storage medium, in which a computer program is stored. The computer program is executed by a processor to implement the steps of the method for determining blade stiffness of a wind turbine as described in any one of the above items.

[0115] The computer-readable storage medium includes random access memory (RAM), memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disks, removable disks, CD-ROMs, or any other form of storage medium known in the technical field.

[0116] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is any such actual relationship or order between these entities or operations. Moreover, the term "include", "comprise" or any other variant thereof is intended to cover non-exclusive inclusion, so that the process, method, article or equipment that includes a series of elements are inherent to the elements. In the absence of more restrictions, the elements limited by the sentence "comprise one..." do not exclude the presence of other identical elements in the process, method, article or equipment that includes the elements. In addition, the above-mentioned technical solution provided in the embodiment of the present application is consistent with the corresponding technical solution in the prior art in principle, and the part is not described in detail, so as not to repeat too much.

[0117] The principles and implementation methods of the present invention are described in this article using specific examples. The description of the above embodiments is only used to help understand the method and core ideas of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made to the present invention without departing from the principles of the present invention, and these improvements and modifications also fall within the scope of protection of the claims of the present invention.

Claims

1. A method for determining blade stiffness of a wind turbine generator set, characterized in that: include: Divide the blade to be set into multiple blade segments, and set m groups of preset stiffness coefficients; wherein each group of the preset stiffness coefficients includes a preset stiffness coefficient corresponding to each blade segment; Simulating the operation process of the blade to be set under the condition of satisfying each group of the preset stiffness coefficients at different wind speeds, and obtaining the aeroelastic damping of the blade to be set corresponding to each group of the preset stiffness coefficients; Selecting at least one set of preset stiffness coefficients whose corresponding gas elastic damping is greater than a set threshold value from each set of preset stiffness coefficients; According to the preset stiffness coefficients after screening, a group of preset stiffness coefficients with the smallest corresponding fitness are determined as the stiffness coefficients corresponding to each blade segment on the blade to be set, so as to determine the stiffness of the blade to be set according to the stiffness coefficients; wherein the fitness corresponding to each group of the preset stiffness coefficients is the sum of the individual preset stiffness coefficients in each group of the preset stiffness coefficients.

2. The method for determining blade stiffness of a wind turbine according to claim 1, characterized in that: According to the screened preset stiffness coefficients, a set of preset stiffness coefficients with the smallest corresponding fitness is determined as the stiffness coefficients corresponding to each blade segment on the blade to be set, including: Performing fitness calculations on the multiple groups of preset stiffness coefficients after screening, respectively, and determining a group of preset stiffness coefficients with the smallest fitness among the multiple groups of preset stiffness coefficients after screening as the optimal stiffness coefficient group; Performing cross-mutation on the screened multiple groups of preset stiffness coefficients to obtain updated m groups of preset stiffness coefficients; wherein the updated m groups of preset stiffness coefficients include the screened multiple groups of preset stiffness coefficients; The updated m groups of preset stiffness coefficients are re-executed to simulate the operation process of the blade to be set under the condition of satisfying each group of preset stiffness coefficients at different wind speeds, until the optimal stiffness coefficient group of the first set number of groups is obtained; An optimal stiffness coefficient group with the smallest fitness is selected from each group of the optimal stiffness coefficient groups, and each preset stiffness coefficient in the optimal stiffness coefficient group with the smallest fitness is used as the stiffness coefficient corresponding to each blade segment on the blade to be set.

3. The method for determining blade stiffness of a wind turbine according to claim 2, characterized in that: The screened multiple groups of preset stiffness coefficients are cross-mutated, including: Performing a difference operation on each of the preset stiffness coefficients in each group and the set minimum stiffness coefficient, and performing a binary conversion on the operation result to obtain a binary difference corresponding to each of the preset stiffness coefficients in each group; Exchanging data of two different binary difference values ​​corresponding to each blade segment in two different sets of the preset stiffness coefficients at at least one position to obtain two new binary difference values; The two new binary difference values ​​are converted into decimal and then summed with the set minimum stiffness coefficient respectively to obtain two new preset stiffness coefficients corresponding to each blade segment.

4. The method for determining blade stiffness of a wind turbine according to claim 1, characterized in that: At least one set of preset stiffness coefficients corresponding to the gas elastic damping greater than a set threshold is selected from each set of preset stiffness coefficients, including: When the gas elastic damping corresponding to each group of the preset stiffness coefficients is greater than the set threshold, a second set number of groups of preset stiffness coefficients with the smallest adaptability are selected from each group of the preset stiffness coefficients.

5. The method for determining blade stiffness of a wind turbine according to any one of claims 1 to 4, characterized in that: At least one set of preset stiffness coefficients corresponding to the gas elastic damping greater than a set threshold is selected from each set of preset stiffness coefficients, including: At least one group of preset stiffness coefficients whose corresponding first-order gas-elastic damping and second-order gas-elastic damping are both greater than a set threshold is selected from each group of preset stiffness coefficients.

6. The method for determining blade stiffness of a wind turbine according to claim 5, characterized in that: The operation process of the blade to be set under the condition of satisfying each group of the preset stiffness coefficients at different wind speeds is simulated, including: Multiplying each of the preset stiffness coefficients in each group by the reference stiffness to obtain multiple groups of blade stiffnesses; The bladed simulation software is used to simulate the operating state of the blade to be set under different wind speeds when each group of blade stiffness conditions are met.

7. A device for determining blade stiffness of a wind turbine, characterized in that: include: A coefficient setting module, used for dividing the blade to be set into multiple blade segments, and setting m groups of preset stiffness coefficients; wherein each group of the preset stiffness coefficients includes a preset stiffness coefficient corresponding to each blade segment; An operation simulation module is used to simulate the operation process of the blade to be set under the condition of satisfying each group of the preset stiffness coefficients at different wind speeds, and obtain the aeroelastic damping of the blade to be set corresponding to each group of the preset stiffness coefficients; A coefficient screening module, used to screen out at least one set of preset stiffness coefficients corresponding to the gas elastic damping greater than a set threshold value from each set of preset stiffness coefficients; A coefficient optimization module is used to determine a group of preset stiffness coefficients with the smallest corresponding fitness according to the screened preset stiffness coefficients as the stiffness coefficients corresponding to each blade segment on the blade to be set, so as to determine the stiffness of the blade to be set according to the stiffness coefficients; wherein the fitness corresponding to each group of the preset stiffness coefficients is the sum of the individual preset stiffness coefficients in each group of the preset stiffness coefficients.

8. The device for determining blade stiffness of a wind turbine according to claim 7, characterized in that: The coefficient optimization module includes: A first operation unit is used to perform fitness operations on the multiple groups of preset stiffness coefficients after screening, and determine a group of preset stiffness coefficients with the smallest fitness among the multiple groups of preset stiffness coefficients after screening as the optimal stiffness coefficient group; A second operation unit is used to perform cross-mutation on the screened multiple groups of preset stiffness coefficients to obtain updated m groups of preset stiffness coefficients; wherein the updated m groups of preset stiffness coefficients include the screened multiple groups of preset stiffness coefficients; A third operation unit is used to re-execute the step of simulating the operation process of the blade to be set under the condition of satisfying each set of the preset stiffness coefficients at different wind speeds, using the updated m sets of preset stiffness coefficients, until an optimal stiffness coefficient group of the first set number of groups is obtained; The fourth operation unit is used to select a group of optimal stiffness coefficient groups with the smallest fitness from each group of the optimal stiffness coefficient groups, and use each preset stiffness coefficient in the group of the optimal stiffness coefficient groups with the smallest fitness as the stiffness coefficient corresponding to each blade segment on the blade to be set.

9. A device for determining blade stiffness of a wind turbine, characterized in that: include: Memory for storing computer programs; A processor is used to execute the computer program to implement the steps of the method for determining the blade stiffness of a wind turbine set as described in any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and the computer program is executed by a processor to implement the steps of the method for determining blade stiffness of a wind turbine according to any one of claims 1 to 6.

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