CN116412083A - A control method, device, equipment and medium for a wind power generating set - Google Patents

Abstract

The present application discloses a control method, device, equipment, and medium for a wind power generating set. The method includes: firstly, based on the wind parameter data of the wind generating set, the operating data of the unit, and the key load component of the main shaft bearing, the consumed main shaft bearing is determined. life; then determine the remaining life of the main shaft bearing according to the design life of the main shaft bearing and the consumed life; determine the control parameters of the wind turbine based on the design life of the main shaft bearing, the remaining life and the actual consumption time of the main shaft bearing; The control parameters and preset parameters of the generating set determine the control method of the wind generating set. The control method of the wind power generation set provided by the embodiment of the present application fully considers the influence of the life of the main shaft bearing on the performance of the wind power generation set, and determines different control methods for the wind power generation set based on the life evaluation of the main shaft bearing, so as to improve the control of the wind power generation set accuracy.

Description

A control method, device, equipment and medium for a wind power generating set

technical field

The present application relates to the field of control technology, and in particular to a control method, device, equipment and medium for a wind power generating set.

Background technique

The main shaft bearing of the wind turbine is the main part of the wind turbine. The main shaft bears a very large load, and the shaft is very long and easy to deform. The main drive system where it is located is an important safety system of the wind turbine. If the main shaft fails, it will give Wind farms cause huge economic losses. Therefore, during the operation of the wind turbine, it is particularly important to evaluate the life of the main shaft bearing.

At present, in the control method of the wind power generating set, the influence of the performance of the main shaft bearing on the whole generating set is not fully considered, resulting in low control accuracy of the wind farm for the wind generating set.

Contents of the invention

Embodiments of the present application provide a control method, device and equipment for a wind power generating set, so as to improve the accuracy of controlling the wind generating set.

In a first aspect, an embodiment of the present application provides a method for controlling a wind power generating set, the method comprising:

Determining the consumed life of the main shaft bearing based on the wind parameter data of the wind power generating set, the operating data of the unit, and the key load components of the main shaft bearing;

determining the remaining life of the main shaft bearing based on the design life of the main shaft bearing and the consumed life;

Based on the design life of the main shaft bearing, the remaining life and the actual consumption time, determine the control parameters of the wind power generating set;

Based on the control parameters and preset parameters, a control method for the wind power generating set is determined.

In a possible implementation manner, the determining the control method of the wind power generating set based on the control parameter and the preset parameter includes:

When the control parameter is smaller than the preset parameter, determine a first target speed in a set of preset speeds, and control the wind generating set to run at the first target speed within a preset period, wherein the first A target speed is less than the current speed of the wind power generating set, and the control parameter of the wind power generating set is greater than the preset parameter under the first target speed.

In a possible implementation manner, the determining the control method of the wind power generating set based on the control parameter and the preset parameter includes:

When the control parameter is greater than the preset parameter, determine a second target speed in the set of preset speeds, and control the wind generating set to run at the second target speed within the preset period, wherein , the second target speed is greater than the current speed of the wind power generating set, and at the second target speed the control parameter of the wind power generating set is greater than the preset parameter.

In a possible implementation manner, the determining the control method of the wind power generating set based on the control parameter and the preset parameter includes:

When the control parameter is equal to the preset parameter, the wind power generating set is controlled to run at the current rotational speed within the preset period.

In a possible implementation manner, the determining the first target speed in the set of preset speeds includes:

In the set of preset rotational speeds, the first target rotational speed is determined by using a dichotomy method.

In a possible implementation manner, the determining the consumed life of the main shaft bearing based on the wind parameter data of the wind power generating set, the operating data of the unit, and the key load component of the main shaft bearing includes:

determining a transfer function corresponding to the key load component of the main shaft bearing based on the wind parameter data of the wind power generating set, the operating data of the unit, and the key load component of the main shaft bearing;

Based on the transfer function, the spent life of the spindle bearing is determined.

In a possible implementation manner, the transfer function corresponding to the key load component of the main shaft bearing is determined based on the wind parameter data of the wind power generator set, the unit operation data and the key load component of the main shaft bearing, Also includes:

determining a goodness of fit for the transfer function based on the transfer function;

judging whether the goodness-of-fit is greater than a preset value; if not, then determine the The transfer function corresponding to the critical load component of the spindle bearing described above.

In a second aspect, an embodiment of the present application provides a control device for a wind power generating set, the device comprising: a first processing module, a second processing module, a third processing module, and a control module;

The first processing module is configured to determine the consumed life of the main shaft bearing based on the wind parameter data of the wind power generating set, the operating data of the unit, and the key load component of the main shaft bearing;

The second processing module is configured to determine the remaining life of the main shaft bearing based on the design life of the main shaft bearing and the consumed life;

The third processing module is used to determine the control parameters of the wind power generating set based on the design life of the main shaft bearing, the remaining life and the actual consumption time;

The control module is configured to determine a control method for the wind power generating set based on the control parameters and preset parameters.

In a third aspect, the embodiment of the present application provides a control device for a wind power generating set, and the device includes: a memory and a processor;

The memory is used to store related program codes;

The processor is configured to call the program code to execute the control method for the wind power generating set described in any one implementation manner of the first aspect above.

In the fourth aspect, the embodiment of the present application also provides a computer-readable storage medium, the computer-readable storage medium is used to store a computer program, and the computer program is used to execute any one of the implementation manners of the above-mentioned first aspect. control method for wind turbines.

It can be seen that the embodiment of the present application has the following beneficial effects:

In the above implementation of the embodiment of the present application, firstly, based on the wind parameter data of the wind power generating set, the operating data of the unit, and the key load components of the main shaft bearing, the consumed life of the main shaft bearing is determined; then, according to the design life of the main shaft bearing and the Consumption life, determine the remaining life of the main shaft bearing; determine the control parameters of the wind turbine based on the design life of the main shaft bearing, remaining life and the actual consumption time of the main shaft bearing; determine the wind power based on the control parameters and preset parameters of the wind turbine Control methods for generator sets. The control method of the wind power generation set provided by the embodiment of the present application fully considers the influence of the life of the main shaft bearing on the performance of the wind power generation set, determines different control methods for the wind power generation set based on the life of the main shaft bearing, and improves the control efficiency of the wind power generation set accuracy.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the accompanying drawings that need to be used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments provided in the present application , for those skilled in the art, other drawings can also be obtained according to these drawings.

FIG. 1 is a flow chart of a control method for a wind power generating set in an embodiment of the present application;

FIG. 2 is a schematic diagram of a control system of a wind power generating set in an embodiment of the present application;

FIG. 3 is a schematic diagram of a control device for a wind power generating set in an embodiment of the present application;

Fig. 4 is a schematic diagram of a control device of a wind power generating set in an embodiment of the present application.

Detailed ways

The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. The described embodiments are only exemplary implementations of the present application, not all implementations. Those skilled in the art may combine the embodiments of the present application to obtain other embodiments without performing creative work, and these embodiments are also within the protection scope of the present application.

The main shaft bearing is the main part of the wind turbine. The main shaft bears a very heavy load. The main drive system where it is located is an important safety system of the wind turbine. If the main shaft fails, it will bring huge economic losses to the wind farm. At present, in the control method of the wind power generating set, the influence of the performance of the main shaft bearing on the whole generating set is not fully considered, resulting in low control accuracy of the wind farm for the wind generating set.

Based on this, an embodiment of the present application provides a method for controlling a wind power generating set, so as to improve the control accuracy of the wind generating set. In the specific implementation, firstly, based on the wind parameter data of the wind turbine, the operating data of the unit and the key load components of the main shaft bearing, the consumed life of the main shaft bearing is determined; then, according to the design life and the consumed life of the main shaft bearing, the Remaining life: Determine the control parameters of the wind turbine based on the design life, remaining life, and actual consumption time of the spindle bearing; determine the control method of the wind turbine based on the control parameters and preset parameters of the wind turbine. The control method of the wind power generation set provided by the embodiment of the present application fully considers the influence of the life of the main shaft bearing on the performance of the wind power generation set, and determines different control methods for the wind power generation set based on the life evaluation of the main shaft bearing, so as to improve the control of the wind power generation set accuracy.

The method for controlling a wind power generating set provided by the embodiment of the present application will be described below with reference to the accompanying drawings.

Referring to FIG. 1 , this figure is a flow chart of a control method for a wind power generating set provided in an embodiment of the present application.

The method specifically includes the following steps:

S101: Based on the wind parameter data of the wind power generating set, the operating data of the generating set, and the key load component of the main shaft bearing, determine the consumed life of the main shaft bearing.

When determining the consumed life of the main shaft bearing, one possible implementation is to first determine the transfer function of the main shaft bearing based on the wind parameter data of the wind turbine, the operating data of the unit and the key load components of the main shaft bearing; then use the transfer function , to calculate the consumed life of the main shaft bearing in each cycle; the consumed life of the main shaft bearing can be determined by accumulating the consumed life of the main shaft bearing in all cycles experienced.

Among them, the wind parameter data includes: air density, wind speed, inflow angle, wind shear, turbulence intensity and time, etc., the unit operation data includes: speed, generator torque, and power generation, etc. The load is also called load, which refers to the structure or External forces and other factors that produce internal forces and deformations of components, or customarily refer to various direct actions exerted on engineering structures to make engineering structures or components produce effects.

The data acquisition unit of the wind power generating set collects the wind parameter data and unit operation data of the wind generating set according to the time period T, wherein, within the period T, the operating speed of the wind generating set is set according to the preset speed R={r ₁ , r ₂ ,…,r _n } run. In a possible implementation, the minimum value of the preset speed set R may be 0.7 times the rated speed r of the wind turbine, and the maximum value of the preset speed set R may be 1.3 times the rated speed r, That is, the value range of the preset rotational speed set R can be expressed as [0.7r, 1.3r], and the preset rotational speed set R does not include the resonance rotational speed of the wind power generating set.

It should be noted that the data of the wind power generating set can be collected in minutes or seconds, which does not affect the realization of the technical solutions of the embodiments of the present application. In this embodiment, the data collection unit collects the second-level real-time operation data of the wind power generating set according to the time period T as an example for illustration.

Usually, when the speed of the wind turbine is gradually increased to the rated speed, that is, it runs at the rated speed. If there is a speed r _m in the speed set R that is greater than the rated speed r of the wind turbine, the operating data of the wind turbine when it exceeds the rated speed needs It is obtained by adjusting the operating speed of the wind turbine, that is, when the operating speed of the wind turbine reaches the rated speed r, continue to increase the operating speed to r _m to obtain the operating data when the speed is greater than the rated speed. After the wind turbine has been running at the speed r _m for 30 minutes, adjust it back to the original rated speed r, and the unit operation data when it is greater than the rated speed r can be obtained.

During the operation of the wind turbine, the main shaft bearing load sensor can be used to collect load data to obtain the key load component of the main shaft bearing, that is, the load component that mainly affects the life of the main shaft bearing. In this embodiment, My, Mz, Fx, Fy and Fz represent the key load components of the main shaft bearing.

According to the load value data of the key load components collected by the load sensor, for the load value data of any key load component, take the key load component My as an example, use the data analysis unit to analyze the data, and determine which probabilities the load value data conforms to Distribution, such as normal distribution, so as to obtain the load distribution function corresponding to the key load component My, and calculate the load value range of the key load component My through the load distribution function, that is, the maximum value Max and the minimum value Min, the key load value The load value range of My can be expressed as My[Min, Max]. Within the range of load values, the load values are selected according to a fixed step size, and multiple load intervals are divided. According to the load distribution function and the load value, the probability corresponding to the load value can be determined, and the key load component My in each interval can be obtained. probability distribution on .

By analogy, the probability distribution of each key load component My, Mz, Fx, Fy and Fz can be obtained, as shown in Table 1, where ss (step size) represents the fixed step size, and f represents the probability.

Table 1 Probability distribution of each key load component in the spindle bearing period T

My f Mz f Fx f Fy f Fz f Min f_my_1 Min f_mz_1 Min f_fx_1 Min f_fy_1 Min f_fz_1 Min+ss f_my_2 Min+ss f_mz_2 Min+ss f_fx_2 Min+ss f_fy_2 Min+ss f_fz_2 Min+ss*2 f_my_3 Min+ss*2 f_mz_3 Min+ss*2 f_fx_3 Min+ss*2 f_fy_3 Min+ss*2 f_fz_3 ... ... ... ... ... ... ... ... ... ... Max f_my_max Max f_mz_max Max f_fx_max Max f_fy_max Max f_fz_max f 1 f 1 f 1 f 1 f 1

其中，x表示风速，λ表示比例参数，k表示形状参数。In a possible implementation, the wind speed data of the wind power generating set obeys the Weibull distribution, for example, the probability distribution density function of the Weibull distribution is:

Among them, x represents the wind speed, λ represents the scale parameter, and k represents the shape parameter.

According to the probability distribution of each key load component in Table 1, the time distribution of each key load component in each interval under different wind speeds can be obtained. Specifically, for any value of wind speed, first determine the probability of the wind turbine at the wind speed, and then count all the values of any key load component at the wind speed, and determine the critical load component in the wind speed and the corresponding load interval The following probability is to obtain the probability distribution of key load components in different intervals of different wind speeds, and then multiply the interval probability by 8760 to obtain the time distribution of key load components in different intervals, where 8760 is calculated by 365 days in a year, The number of hours in a year.

As shown in Table 2, Table 2 provides an example of the time distribution of each key load component in different intervals under different wind speeds, and t represents time.

Table 2 Time distribution of each key load component in the spindle bearing cycle T

Based on the time distribution of each key load component in each interval obtained in Table 2, the wind parameter data of the wind turbine and the preset speed set R are used as input data, and the time distribution of each key load component is used as output data to train the main shaft bearing The transfer function Fd corresponding to each key load component, where d∈[My, Mz, Fx, Fy, Fz], that is, any key load component corresponds to a transfer function.

In a preferred implementation manner, the transfer function obtained through training is optimized, and the goodness of fit of the transfer function is used as an optimization criterion. When the goodness of fit is greater than a preset value, the transfer function does not need to be optimized. It should be noted that the preset value can be specifically determined according to the actual application, and is not limited in the embodiment of the present application. For example, the preset value can be set to 98%, that is, when the goodness of fit is greater than 98%, the transfer function meets the requirements .

In the specific implementation, according to the wind parameter data of the wind turbine in the next period T', the operating data of the unit and the key load components of the main shaft bearing, etc., the time distribution of each key load component of the main shaft bearing in the period T' is determined, and the calculation method Refer to the calculation method in the period T above, which will not be repeated here.

其中，i表示载荷的区间个数，L_i为载荷区间，n_i为转速，t_i为各载荷区间对应的时间。Calculate the equivalent load L _T-eq according to the time distribution in the period Y', the calculation formula of the equivalent load L _T-eq is:

Wherein, i represents the number of load intervals, L _i is the load interval, n _i is the rotational speed, and t _i is the time corresponding to each load interval.

According to the equivalent load L _T-eq and the design parameter information of the main shaft bearing, the consumed life L _T' of the main shaft bearing in the period T' is calculated.

Based on the transfer function Fd of each key load component of the main shaft bearing in the period T, the wind parameter data and the preset speed set of the wind turbine in the period T' are used as input data to obtain the predicted time distribution of each key load component in different intervals, According to the predicted equivalent load L _{T- eq} ' and the design parameter information of the main shaft bearing, the predicted consumed life preL _T' of the main shaft bearing in the period T' is calculated.

The calculation formula of the goodness of fit R _T' is: R _T' = preL _T' /L _T' , when the goodness of fit R _T' is greater than 98% of the preset value, the transfer function Fd meets the requirements, and in the subsequent cycle The spent life of spindle bearings can be predicted directly from the transfer function. If the goodness-of-fit R _T' does not meet the requirements and is less than or equal to the preset value of 98%, then the wind parameter data in the cycle T and the cycle T' and the preset rotational speed set are used as the training data in a new cycle to calculate The consumed life of the new cycle, retrain the transfer function Fd according to the above steps, use the new transfer function Fd to calculate the new predicted consumed life, and recalculate the goodness of fit R _T' according to the consumed life of the new cycle and the predicted consumed life , if the goodness of fit does not meet the requirements, add the wind parameter data in one cycle as a sample, that is, combine the wind parameter data in the first three cycles to continue to re-optimize the goodness of fit R _T' , if the goodness of fit is not If the requirements are met, continue to add a period of wind parameter data as a sample, and so on, until the goodness-of-fit R _T' meets the requirements.

When the goodness of fit meets the requirements, it indicates that the prediction accuracy of the transfer function for the consumed life is high, so the transfer function can be directly used to predict the consumed life of the spindle bearing in subsequent cycles.

Use the transfer function to calculate the consumed life of the main shaft bearing in each cycle, so as to obtain the consumed life of the main shaft bearing in all cycles experienced.

S102: Determine the remaining life of the main shaft bearing according to the design life and the consumed life of the main shaft bearing.

According to the design life of the main shaft bearing Life and the consumed life Life _consume , calculate the remaining life of the main shaft bearing Life _remain , that is, Life _remain = Life-Life _consume . In practical applications, the design life of the main shaft bearing is generally 20 years.

S103: Determine the control parameters of the wind power generating set based on the design life, remaining life and actual consumption time of the main shaft bearing.

The actual consumption time is how long has actually passed, which can be represented by Life _real . The control parameter of the wind turbine is represented by Δl, and the calculation formula of the control parameter Δl is:

Δl=Life _remain- (Life-Life _real ).

Taking the design life of the main shaft bearing as an example of 20 years, assuming that the calculation determines that the consumed life of the main shaft bearing is 2 years, that is, the life _consume is 2 years, and the actual past time is 3 years, that is, the life _real is 3 years, then It can be determined that the remaining life of the main shaft bearing is 18 years, that is, Life _remain is 18 years, and thus the control parameter Δl=18-(20-3)=1 of the wind power generating set is determined.

S104: Based on the control parameter and the preset parameter, determine a control method for the wind power generating set.

According to the size of the control parameter and the preset parameter, different control methods of the wind turbine can be determined. In a possible implementation manner, the preset parameter may be 0.

In actual implementation, when the control parameter of the wind turbine is less than the preset parameter, that is, the consumed life of the main shaft bearing is greater than the actual consumption time, it means that the loss of the main shaft bearing during the operation of the wind turbine exceeds the expectation, so in the subsequent period of operation It is necessary to protect the main shaft bearing and prolong the life of the main shaft bearing.

A possible implementation method is to determine the first target speed in the preset speed set of the wind power generating set, control the wind power generating set to run at the first target speed within a preset period, and ensure that when the wind power generating set When the target speed is running, the control parameters of the wind power generating set are greater than the preset parameters, wherein the first target speed is lower than the current running speed of the wind power generating set, and the preset cycle is the next cycle of the current running cycle of the wind power generating set.

Assuming that the wind power generating set operates at the first target speed in the preset period, when calculating the control parameters of the wind generating set in the preset period, the average value of the wind parameter data of all previous cycles is used as the wind parameter data of the preset period, and then The consumed life of the main shaft bearing is predicted according to the transfer function, so as to obtain the control parameter of the preset period, and finally determine the first target speed at which the control parameter is greater than the preset parameter.

In the embodiment of the present application, when determining the first target rotational speed, a dichotomy method can be used to search, that is, to continuously divide the set of preset rotational speeds into two, so as to determine the first target rotational speed that meets the conditions.

One possible implementation is to set the preset rotational speed set R={r ₁ ,r ₂ ,r ₃ ...,r ₇ }, when using the dichotomy method to search, first find the middle value in the set R as the first target rotational speed , that is, r ₄ is the first target speed, whether the control parameter is greater than the preset parameter, if not, divide the remaining values in the set R into two sets R1={r ₁ ,r ₂ ,r ₃ } And R2={r ₅ , r ₆ , r ₇ } can first judge the intermediate value r ₂ in the set R1 as the first target speed, or first use the intermediate value r ₆ in the set R2 as the first target speed judge.

Since the first target rotational speed is less than the current rotational speed of the wind turbine, when the first target rotational speed is less than the rated rotational speed, according to the predetermined correspondence between rotational speed and torque, the torque corresponding to the current rotational speed can be determined by looking up the table, and the wind turbine can be controlled to This speed and torque run, so that the wind turbine has a high energy production. The torque and power generation corresponding to the first target rotational speed of the wind power generating set will be reduced, so as to ensure that the wind power generating set is in a power-limited operating state. Therefore, when the wind power generating set runs at the first target speed within the preset period, the loss of the main shaft bearing can be reduced, and the control accuracy of the wind power generating set can be improved.

When the control parameter of the wind turbine is greater than the preset parameter, that is, the consumed life of the main shaft bearing is less than the actual consumption time, it means that the loss of the main shaft bearing caused by the wind turbine during operation is small, so in the subsequent period of operation, it can be When it is ensured that the loss of the main shaft bearing does not exceed the range, the operating speed of the wind turbine is appropriately increased, thereby improving the power generation performance of the wind turbine.

A possible implementation method is to determine the second target speed in the preset speed set of the wind power generating set, and control the wind power generating set to run at the second target speed within a preset period, wherein the second target speed is greater than the wind power generation The current rotating speed of the wind generating set, and ensure that when the wind generating set is running at the second target rotating speed, the control parameter of the wind generating set is greater than the preset parameter.

When determining the second target rotational speed, the dichotomy method can also be used to search, continuously divide the set of preset rotational speeds into two, and determine the second target rotational speed that meets the conditions. The principle of determining the second target rotational speed at which the control parameter within the preset period is greater than the preset parameter is the same as that of the above-mentioned embodiment, and will not be repeated here.

When the wind power generating set is running at the second target speed within the preset period, if the second target speed is greater than the rated speed, since the second target speed is greater than the current speed of the wind power generating set, the torque of the wind power generating set remains unchanged. The power generation will also increase, which improves the control performance of the wind turbine.

When the control parameters of the wind turbine are equal to the preset parameters, it is enough to keep the life of the main shaft bearing stable within the preset period, without changing the speed of the wind turbine, that is, to control the wind turbine to run at the current speed within the preset period , to ensure its normal power generation.

It should be noted that the manner of determining the target rotational speed in the above embodiment is only an exemplary description, and does not limit the application in any form, and other possible manners are also within the scope of protection of the present application.

The control method of the wind power generation set provided by the embodiment of the present application determines different control methods for the wind power generation set based on the life evaluation of the main shaft bearing, thereby improving the accuracy of the control of the wind power generation set.

Based on the foregoing method embodiments, the following will introduce a control system of a wind power generating set in combination with a specific application scenario.

Referring to FIG. 2 , this figure is a schematic diagram of a control system of a wind power generating set provided by an embodiment of the present application.

In this application scenario, the control system 200 includes: a spindle bearing load sensor 201, a data acquisition unit 202, a data analysis unit 203, a transfer function calculation unit 204, and a control unit 205;

The main shaft bearing load sensor 201 is used to collect the load value data of each key load component of the main shaft bearing, and the data collection unit 202 is used to collect wind parameter data and unit operation data of the wind power generating set, wherein the wind parameter data includes: air density, wind speed , inflow angle, wind shear, turbulence intensity, and time, etc., and the operating data of the unit include: wind speed, rotation speed, generator torque, and power generation, etc.

Both the spindle bearing sensor and the data acquisition unit send the collected data to the data analysis unit 203, and the data analysis unit 203 determines the load distribution function corresponding to each key load component according to the load value data of each key load component. For any key load component, the maximum and minimum load values of the key load component are calculated through the load distribution function, and the load value is calculated according to a fixed step size, so as to obtain the probability distribution of the key load component in different load intervals. Combined with wind parameter data and speed data, the time distribution of each key load component of the main shaft bearing in each load interval under different wind speeds is obtained.

The transfer function calculation unit 204 calculates the transfer function of the main shaft bearing according to the probability distribution and time distribution of each key load component of the main shaft bearing.

The control unit 205 calculates the consumed life of the main shaft bearing according to the transfer function, and calculates the control parameters of the wind power generating set according to parameters such as the design life of the main shaft bearing. According to the control parameters, different control methods for the wind generating set are determined, and the operation of the wind generating set is controlled, thereby improving the control accuracy of the wind generating set.

It should be noted that although the present application depicts operations in a particular order, this should not be construed as requiring that the operations be performed in the particular order shown or performed in a sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. It should be understood that the various steps described in the method implementations of the present application may be executed in different orders, and/or executed in parallel. Additionally, method embodiments may include additional steps and/or omit performing illustrated steps. The scope of the application is not limited in this respect.

Based on the above method embodiment, the embodiment of the present application further provides a control device for a wind power generating set, see FIG. 3 , which is a schematic diagram of a control device for a wind generating set provided in the embodiment of the present application.

The device 300 includes: a first processing module 301, a second processing module 302, a third processing module 303 and a control module 304;

The first processing module 301 is used to determine the consumed life of the main shaft bearing based on the wind parameter data of the wind power generating set, the operating data of the unit and the key load component of the main shaft bearing;

The second processing module 302 is configured to determine the remaining life of the main shaft bearing based on the design life and the consumed life of the main shaft bearing;

The third processing module 303 is used to determine the control parameters of the wind power generating set based on the design life, remaining life and actual consumption time of the main shaft bearing;

The control module 304 is configured to determine a control method of the wind power generating set based on the control parameters and preset parameters.

The first processing module 301 is specifically used to determine the transfer function corresponding to the key load component of the main shaft bearing based on the wind parameter data of the wind power generating set, the operating data of the unit, and the key load component of the main shaft bearing; based on each transfer function, determine the main shaft bearing of spent life.

The first processing module 301 is also used to determine the goodness of fit of the transfer function based on the transfer function; judge whether the goodness of fit is greater than a preset value; data, unit operating data and the key load component of the main shaft bearing, and re-determine the transfer function corresponding to the key load component of the main shaft bearing until the goodness of fit corresponding to the transfer function is greater than the preset value.

The control module 304 is specifically used to determine the first target speed in the set of preset speeds when the control parameter is smaller than the preset parameter, and control the wind turbine to run at the first target speed within a preset period, wherein the first target speed is less than the current speed of the wind power generating set, and the control parameter of the wind power generating set is greater than the preset parameter at the first target speed.

When the control module 304 determines the first target rotational speed, the first target rotational speed can be determined in the preset rotational speed set by using a dichotomy method.

The control module 304 is specifically used to determine the second target speed in the preset speed set when the control parameter is greater than the preset parameter, and control the wind turbine to run at the second target speed within a preset period, wherein the second target speed is greater than the current speed of the wind power generating set, and the control parameter of the wind power generating set is greater than the preset parameter at the second target speed.

Likewise, when the control module 304 determines the second target speed, the second target speed can be determined from the set of preset speeds by using a dichotomy method.

The control module 304 is specifically configured to control the wind power generating set to run at the current rotational speed within a preset period when the control parameter is equal to the preset parameter.

For the beneficial effects of the device embodiments provided by the embodiments of the present application, refer to the above method embodiments, and details are not repeated here.

Based on the above method embodiment and device embodiment, the embodiment of the present application also provides a control device for a wind power generating set, see FIG. 4 , which is a schematic diagram of a control device for a wind generating set provided in the embodiment of the present application.

The device 400 includes: a memory 401 and a processor 402;

The memory 401 is used to store related program codes;

The processor 402 is configured to call the program code to execute the method for controlling the wind power generating set described in the method embodiment above.

In addition, an embodiment of the present application further provides a computer-readable storage medium, the computer-readable storage medium is used to store a computer program, and the computer program is used to execute the method for controlling a wind power generating set described in the method embodiment above.

The functions described herein above may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), System on Chips (SOCs), Complex Programmable Logical device (CPLD) and so on.

Computer program code for carrying out the operations of this application may be written in one or more programming languages, or combinations thereof, including but not limited to object-oriented programming languages—such as Java, Smalltalk, C++, and Includes conventional procedural programming languages - such as the "C" language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In cases involving a remote computer, the remote computer can be connected to the user computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (such as through an Internet service provider). Internet connection).

It should be noted that the terms "first" and "second" used in this application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the terms used in this way can be interchanged under appropriate circumstances, and this is merely a description of the manner in which objects with the same attribute are described in the embodiments of the present application.

Each embodiment in this specification is described in a progressive manner, and the similar parts of each embodiment can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, as for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts may refer to the part description of the method embodiment. The device embodiments described above are only illustrative, where the units or modules described as separate components may or may not be physically separated, and the components shown as units or modules may or may not be physical modules, that is It may be located in one place, or may be distributed to multiple network units, and some or all of the units or modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. It can be understood and implemented by those skilled in the art without creative effort.

The above descriptions are only exemplary implementations of the present application, and do not limit the present application in any form. Equivalent changes or modifications made to the above embodiments all belong to the protection scope of the present application.

Claims (10)

1. A method of controlling a wind turbine, the method comprising:

determining the consumed life of a main shaft bearing based on wind parameter data of a wind generating set, set operation data and key load components of the main shaft bearing;

determining a remaining life of the spindle bearing based on a design life age of the spindle bearing and the consumed life;

determining control parameters of the wind generating set based on the design life span of the main shaft bearing, the residual life span and the actual consumption time;

and determining a control method of the wind generating set based on the control parameters and preset parameters.

2. The method according to claim 1, wherein the determining the control method of the wind power generator set based on the control parameter and a preset parameter comprises:

when the control parameter is smaller than the preset parameter, a first target rotating speed is determined in a preset rotating speed set, the wind generating set is controlled to operate at the first target rotating speed in a preset period, wherein the first target rotating speed is smaller than the current rotating speed of the wind generating set, and the control parameter of the wind generating set is larger than the preset parameter at the first target rotating speed.

3. The method according to claim 1, wherein the determining the control method of the wind power generator set based on the control parameter and a preset parameter comprises:

when the control parameter is greater than the preset parameter, determining a second target rotating speed in the preset rotating speed set, and controlling the wind generating set to operate at the second target rotating speed in the preset period, wherein the second target rotating speed is greater than the current rotating speed of the wind generating set, and the control parameter of the wind generating set is greater than the preset parameter at the second target rotating speed.

4. The method according to claim 1, wherein the determining the control method of the wind power generator set based on the control parameter and a preset parameter comprises:

and when the control parameter is equal to the preset parameter, controlling the wind generating set to run at the current rotating speed in the preset period.

5. The method of claim 2, wherein determining the first target rotational speed from the set of preset rotational speeds comprises:

and determining the first target rotating speed by using a dichotomy in the preset rotating speed set.

6. The method of claim 1, wherein the determining the consumed life of the main shaft bearing based on wind parameter data of the wind turbine, turbine operation data, and key load components of the main shaft bearing comprises:

determining a transfer function corresponding to the key load component of the main shaft bearing based on wind parameter data of the wind generating set, set operation data and the key load component of the main shaft bearing;

based on the transfer function, a spent life of the spindle bearing is determined.

7. The method of claim 6, wherein determining a transfer function corresponding to the critical load component of the main shaft bearing based on wind parameter data of the wind turbine generator set, set operation data, and the critical load component of the main shaft bearing, further comprises:

determining a goodness of fit of the transfer function based on the transfer function;

judging whether the fitting goodness is larger than a preset value or not; if not, determining a transfer function corresponding to the key load component of the main shaft bearing based on wind parameter data, unit operation data and the key load component of the main shaft bearing of the wind generating unit in the preset period.

8. A control device for a wind power generator set, the device comprising: the device comprises a first processing module, a second processing module, a third processing module and a control module;

the first processing module is used for determining the consumed service life of the main shaft bearing based on wind parameter data of the wind generating set, set operation data and key load components of the main shaft bearing;

the second processing module is used for determining the residual life of the main shaft bearing based on the design life of the main shaft bearing and the consumed life;

the third processing module is used for determining control parameters of the wind generating set based on the design life span of the main shaft bearing, the residual life span and the actual consumed time;

the control module is used for determining a control method of the wind generating set based on the control parameters and preset parameters.

9. A control device for a wind power plant, the device comprising: a memory and a processor;

the memory is used for storing related program codes;

the processor is adapted to invoke the program code to perform the control method of a wind park according to any of claims 1 to 7.

10. A computer-readable storage medium, characterized in that the computer-readable storage medium is for storing a computer program for executing the control method of a wind power plant according to any one of claims 1 to 7.

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