Wind power plant effective turbulence limit value management and wind turbine generator control method and system

Abstract

The invention discloses a wind power plant effective turbulence limit value management and wind turbine generator control method and system, and the method comprises the steps: obtaining the basic data of a wind power plant; calculating initial effective turbulence intensity; judging whether the initial effective turbulence intensity exceeds an effective turbulence design value or not; if not, generating an effective turbulence limit value curve according to a set effective turbulence intensity limit value; if yes, calculating an effective turbulence intensity limit value; calculating equivalent effective turbulence intensity; judging whether the equivalent effective turbulence intensity exceeds an effective turbulence design value or not; if not, generating an effective turbulence limit curve; if yes, iteratively optimizing the environmental turbulence quantile, determining an effective turbulence intensity limit value corresponding to each wind speed, and generating an effective turbulence limit value curve; and the wind turbine generator is controlled in real time. By establishing the effective turbulence limit value curve, targeted regulation and control are implemented according to the real-time turbulence intensity without depending on wind direction judgment, so that the power generation loss is reduced to the maximum extent on the premise of guaranteeing the safety of the unit.

Description

Technical Field

[0001] This invention relates to the technical field of wind power generation, and in particular to a method and system for managing effective turbulence limits in wind farms and controlling wind turbine generators. Background Technology

[0002] The design and certification of wind turbine generators must comply with international standards (such as IEC 61400-1), and their ratings are determined based on reference wind speed and turbulence intensity. Turbulence is a key environmental factor affecting the fatigue load of the generator set. Effective turbulence within a wind farm is the result of the superposition of environmental turbulence and wake-induced turbulence between the generator sets. To ensure the safety of the generator set throughout its entire life cycle, the effective turbulence during operation must be controlled within the design limits.

[0003] Currently, wind farms often employ traditional methods such as Wind Sector Management (WSM) to mitigate high load risks. However, traditional effective turbulence sector management methods have significant drawbacks: First, their operational condition classification is too coarse, typically based solely on wind direction without further subdividing the operating conditions according to the actual magnitude of effective turbulence. This leads to the shutdown of all units within a sector once it is deemed high-risk, resulting in substantial unnecessary power generation losses. Second, the control process of this method requires close integration with real-time wind direction as a judgment criterion, but fluctuating wind direction on-site increases the difficulty and complexity of implementation and makes it prone to malfunctions due to wind direction measurement errors.

[0004] Therefore, there is an urgent need for a new, refined, and adaptive method for managing effective turbulence that can minimize power generation losses while ensuring unit safety, without relying on wind direction determination. Summary of the Invention

[0005] The purpose of this invention is to overcome the shortcomings of the prior art and provide a method for effective turbulence limit management and wind turbine control in wind farms. By establishing an effective turbulence limit curve, targeted regulation is implemented based on the real-time turbulence intensity, without relying on wind direction determination, thereby minimizing power generation loss while ensuring the safety of the turbine.

[0006] The second objective of this invention is to provide an effective turbulence limit management system for wind farms and a wind turbine control system.

[0007] A third objective of this invention is to provide a storage medium.

[0008] A fourth objective of this invention is to provide a computing device.

[0009] The first objective of this invention is achieved through the following technical solution:

[0010] A method for managing effective turbulence limits in wind farms and controlling wind turbine generators includes the following steps:

[0011] S1. Obtain basic data for the wind farm;

[0012] S2. Based on the basic data of the wind farm, calculate the initial effective turbulence intensity of each turbine location in the farm at different wind speeds;

[0013] S3. Determine whether the initial effective turbulence intensity of each turbine location at different wind speeds exceeds the effective turbulence design value of the wind farm; if it does not exceed, set the effective turbulence intensity limit value of each turbine location to a preset value, generate an effective turbulence limit curve based on the preset value, and jump to step S6; if it exceeds, jump to step S4.

[0014] S4. Calculate the effective turbulence intensity limit for each machine position under different wind speeds, taking into account the environmental turbulence quantile; reconstruct the wind frequency based on the environmental turbulence quantile and calculate the wind frequency reduction factor; calculate the equivalent effective turbulence intensity for each machine position under different wind speeds after implementing effective turbulence limit management, based on the effective turbulence intensity limit and the wind frequency reduction factor.

[0015] S5. Determine whether the equivalent effective turbulence intensity of each turbine location at different wind speeds exceeds the effective turbulence design value. If it does not exceed the value, generate an effective turbulence limit curve based on the effective turbulence intensity limit of the environmental turbulence quantile at each turbine location at different wind speeds, and proceed to step S6. If it exceeds the value, return to step S4, use the design turbulence boundary of the wind turbine as a constraint, iteratively optimize the environmental turbulence quantile until the equivalent effective turbulence intensity is not greater than the effective turbulence design value, and then determine the effective turbulence intensity limit corresponding to each wind speed. Generate an effective turbulence limit curve based on the effective turbulence intensity limit corresponding to each wind speed, and proceed to step S6.

[0016] S6. Real-time control of wind turbine units based on effective turbulence limit curves.

[0017] Furthermore, the basic data of the wind farm includes wind turbine design parameters, wind resource data, and wind turbine layout parameters. The wind turbine design parameters include basic turbine information, effective turbulence design values, and thrust curves. The wind resource data includes wind frequency distribution, environmental turbulence intensity, and its standard deviation.

[0018] Furthermore, step S2 is specifically as follows:

[0019] ;

[0020] in, For wind turbines at different wind speeds The initial effective turbulence intensity is as follows: The average wind speed at the hub height of the wind turbine is preset for a certain time period; The probability density function for wind direction is calculated based on the wind frequency distribution. The Wöhler index is the index of the materials used in wind turbine generators; Wind direction The combined turbulence intensity of the underlying environmental turbulence and the wake-added turbulence. , For environmental turbulence intensity, The standard deviation of the environmental turbulence intensity. To add turbulence intensity to the wake, , , For process parameters, This refers to the horizontal distance between the two wind turbine units. The diameter of the upstream wind turbine rotor. The thrust coefficient of the wind turbine that produces the wake effect is obtained from the thrust curve.

[0021] Furthermore, step S4 is specifically as follows:

[0022] S401, Introducing environmental turbulence quantiles The calculations yielded results for each machine position at different wind speeds. Considering environmental turbulence quantiles Effective turbulence intensity limit As shown in the following formula:

[0023] ;

[0024] in, For environmental turbulence intensity, The standard deviation of the environmental turbulence intensity. To add turbulence intensity to the wake, , , For process parameters, This refers to the horizontal distance between the two wind turbine units. The diameter of the upstream wind turbine rotor. The thrust coefficient of a wind turbine that produces a wake effect is obtained from the thrust curve. The average wind speed at the hub height of the wind turbine is preset for a certain time period;

[0025] S402, Based on environmental turbulence quantiles Wind frequency reconstruction was performed, and the wind frequency reduction factor was calculated. As shown in the following formula:

[0026] ;

[0027] in, The cumulative distribution function corresponding to the selected probability distribution function;

[0028] S403, Based on the effective turbulence intensity limit Wind frequency reduction factor After implementing effective turbulence limit management, calculations were performed at different wind speeds at each machine location. Equivalent effective turbulence intensity As shown in the following formula:

[0029]

[0030] in, The probability density function for wind direction is calculated based on the wind frequency distribution. The Wöhler index is the material index used in wind turbine generators. This refers to the wind direction angle.

[0031] Furthermore, step S5 is specifically as follows:

[0032] Determine the equivalent effective turbulence intensity at each machine location under different wind speeds. Does it exceed the effective turbulence design value? ;

[0033] If not exceeded, then generate an effective turbulence limit curve based on the effective turbulence intensity limit of the environmental turbulence quantile for each machine position under different wind speeds, and jump to step S6;

[0034] If the value exceeds the limit, return to step S4 and iteratively optimize the environmental turbulence quantile using the design turbulence boundary of the wind turbine as a constraint. until the equivalent effective turbulence intensity Not greater than the effective turbulence design value Then, the effective turbulence intensity limit value corresponding to each wind speed is determined, and an effective turbulence limit value curve is generated based on the effective turbulence intensity limit value corresponding to each wind speed, and then the process jumps to step S6.

[0035] Furthermore, step S6 is specifically as follows:

[0036] S601. Obtain the current real-time wind speed and current real-time turbulence intensity at the hub height of the wind turbine.

[0037] S602. Based on the current real-time wind speed, query the effective turbulence limit curve to obtain the corresponding effective turbulence intensity limit;

[0038] S603. Compare the current real-time turbulence intensity with the effective turbulence intensity limit; if the current real-time turbulence intensity is greater than the effective turbulence intensity limit, issue a shutdown or power reduction command to the wind turbine; if the current real-time turbulence intensity is less than or equal to the effective turbulence intensity limit, maintain or restore the operation of the wind turbine.

[0039] The second objective of this invention is achieved through the following technical solution:

[0040] A wind farm effective turbulence limit management and wind turbine control system, used to implement the above-mentioned wind farm effective turbulence limit management and wind turbine control method, includes:

[0041] The basic data acquisition unit is used to acquire basic data of the wind farm.

[0042] The first calculation unit is used to calculate the initial effective turbulence intensity of each turbine location in the wind farm at different wind speeds, based on the basic data of the wind farm.

[0043] The first judgment unit is used to determine whether the initial effective turbulence intensity of each machine position under different wind speeds exceeds the effective turbulence design value.

[0044] The first generation unit is used to set the effective turbulence intensity limit value of each machine position to a preset value when the initial effective turbulence intensity does not exceed the effective turbulence design value, and to generate an effective turbulence limit curve based on the preset value.

[0045] The second calculation unit is used to calculate the effective turbulence intensity limit of each machine position under different wind speeds, taking into account the environmental turbulence quantile, when the initial effective turbulence intensity exceeds the effective turbulence design value; to reconstruct the wind frequency based on the environmental turbulence quantile and calculate the wind frequency reduction factor; and to calculate the equivalent effective turbulence intensity of each machine position under different wind speeds based on the effective turbulence intensity limit and the wind frequency reduction factor.

[0046] The second judgment unit is used to determine whether the equivalent effective turbulence intensity of each machine position under different wind speeds exceeds the effective turbulence design value.

[0047] The second generation unit is used to generate an effective turbulence limit curve based on the effective turbulence intensity limit of each machine position under different wind speeds, considering the environmental turbulence quantile, when the equivalent effective turbulence intensity does not exceed the effective turbulence design value.

[0048] The iterative optimization unit is used to iteratively optimize the environmental turbulence quantiles with the design turbulence boundary of the wind turbine as a constraint when the equivalent effective turbulence intensity exceeds the effective turbulence design value, until the equivalent effective turbulence intensity is not greater than the effective turbulence design value, and then determine the corresponding effective turbulence intensity limit value at each wind speed.

[0049] The third generation unit is used to generate effective turbulence limit curves based on the effective turbulence intensity limits corresponding to each wind speed.

[0050] The control unit is used to perform real-time control of the wind turbine based on the effective turbulence limit curve.

[0051] Furthermore, the control unit includes a wind speed identification module, a turbulence identification module, and a main control module. The wind speed identification module is used to obtain the current real-time wind speed at the hub height of the wind turbine. The turbulence identification module is used to obtain the current real-time turbulence intensity acting on the wind turbine. The main control module is used to pre-store the effective turbulence limit curve and is configured to perform the following operations: receive real-time data from the wind speed identification module and the turbulence identification module, compare the current real-time turbulence intensity with the effective turbulence intensity limit corresponding to the current real-time wind speed, generate corresponding control commands based on the comparison results, and send them to the wind turbine.

[0052] The third objective of this invention is achieved through the following technical solution:

[0053] A non-transitory computer-readable medium storing instructions that, when executed by a processor, perform the aforementioned wind farm effective turbulence limit management and wind turbine control method.

[0054] The fourth objective of this invention is achieved through the following technical solution:

[0055] A computing device includes a processor and a memory for storing processor-executable programs. When the processor executes the programs stored in the memory, it implements the above-described method for managing effective turbulence limits in wind farms and controlling wind turbine generators.

[0056] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0057] 1. Refined control: This invention breaks through the crude mode of traditional sector management that uses a "one-size-fits-all" approach based on wind direction. By establishing an effective turbulence limit curve that varies with wind speed, it achieves refined management based on the actual size of turbulence, thus avoiding unnecessary power loss.

[0058] 2. High safety: Based on the probabilistic design concept, this invention ensures that the equivalent effective turbulence during unit operation is always within the design standard, effectively reducing fatigue load and ensuring the safety and reliability of the unit's long-term operation.

[0059] 3. Simple and reliable implementation: The control logic of this invention only relies on two parameters, wind speed and turbulence intensity, without the need for complex real-time wind direction determination, which reduces the difficulty of on-site implementation and the dependence on the accuracy of wind direction sensors, and improves the reliability and stability of the system.

[0060] 4. Strong adaptability: The effective turbulence limit curve of this invention is generated based on data from a specific wind farm, and can adapt to the environmental characteristics and layout differences of different wind farms, thus having good universality and specificity. Attached Figure Description

[0061] Figure 1 This is a flowchart of the method of the present invention.

[0062] Figure 2 This is a flowchart of steps S1 to S5 of the present invention.

[0063] Figure 3 This is a schematic diagram of the control unit of the present invention. Detailed Implementation

[0064] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0065] Example 1:

[0066] like Figures 1 to 2 As shown, this embodiment provides a method for managing effective turbulence limits in wind farms and controlling wind turbine generators, including the following steps:

[0067] S1. Obtain basic data of the wind farm, including wind turbine design parameters, wind resource data, and wind turbine layout parameters. Among them, wind resource data includes wind frequency distribution, environmental turbulence intensity and its standard deviation, and wind turbine design parameters include basic information of the unit (including rotor diameter and hub height), effective turbulence design value, thrust curve and power curve.

[0068] S2. Based on the basic data of the wind farm, calculate the initial effective turbulence intensity at each turbine location within the farm under different wind speeds; details are as follows:

[0069] ;

[0070] in, For wind turbines at different wind speeds The initial effective turbulence intensity is as follows: The average wind speed at the hub height of the wind turbine over a preset time period (10 minutes in this embodiment); The probability density function for wind direction is calculated based on the wind frequency distribution. The Wöhler (SN-curve) index is the material used in wind turbines (such as the materials used in most components like blades and towers). Wind direction The combined turbulence intensity of the underlying environmental turbulence and the wake-added turbulence. , For environmental turbulence intensity, The standard deviation of the environmental turbulence intensity. To add turbulence intensity to the wake, , , For process parameters, This refers to the horizontal distance between the two wind turbine units. The diameter of the upstream wind turbine rotor. The thrust coefficient of the wind turbine that produces the wake effect is obtained from the thrust curve.

[0071] S3. Determine whether the initial effective turbulence intensity of each turbine location at different wind speeds exceeds the effective turbulence design value of the wind farm. If it does not exceed the limit, set the effective turbulence intensity limit value of each turbine location to a preset value. The preset value is set to be greater than 10 or infinite. Generate an effective turbulence limit curve based on the preset value and jump to step S6. If it exceeds the limit, jump to step S4.

[0072] S4. Calculate the effective turbulence intensity limit for each aircraft position at different wind speeds, considering the environmental turbulence quantile; reconstruct the wind frequency based on the environmental turbulence quantile and calculate the wind frequency reduction factor; calculate the equivalent effective turbulence intensity for each aircraft position at different wind speeds after implementing effective turbulence limit management, based on the effective turbulence intensity limit and the wind frequency reduction factor; details are as follows:

[0073] S401, Introducing environmental turbulence quantiles The calculations yielded results for each machine position at different wind speeds. Considering environmental turbulence quantiles Effective turbulence intensity limit As shown in the following formula:

[0074] ;

[0075] in, For environmental turbulence intensity, The standard deviation of the environmental turbulence intensity. Add turbulence intensity to the wake;

[0076] S402, Based on environmental turbulence quantiles Wind frequency reconstruction was performed, and the wind frequency reduction factor was calculated. Simulate the probability distribution change of shutdown due to high turbulence; wind frequency reduction factor. The determination of the turbulence threshold, with the ultimate goal of satisfying the design turbulence boundary of the wind turbine, essentially characterizes the situation when the real-time turbulence intensity exceeds a certain threshold (this threshold is related to the environmental turbulence quantile). (Related) The time probability of a wind turbine stopping operation to control load;

[0077] In this embodiment, the probability value can be set according to recognized standards or conventional probabilistic design criteria. For example, the 90th percentile of environmental turbulence commonly used for load calculations in the IEC 61400-1 standard (which corresponds to the environmental turbulence quantile under the standard normal distribution) can be referenced. ≈1.28), which can be used as a wind frequency reduction factor. Defined as with The relevant functions are shown in the following formula:

[0078] ;

[0079] in, The cumulative distribution function corresponding to the selected probability distribution function; when the environmental turbulence quantile Make When the value is greater than or equal to 0.9, it indicates that the turbulence intensity is in the high value region, and theoretically, continuous operation and control are required. Therefore, a setting can be made. =1;

[0080] That is, the environmental turbulence quantile and the corresponding wind frequency reduction factor These parameters are determined through iterative optimization with the constraint that "the managed equivalent effective turbulence intensity does not exceed the unit's design turbulence boundary." This means that the environmental turbulence quantile... Wind frequency reduction factor The specific numerical value or functional relationship depends on the interaction between the actual turbulence characteristics of the wind farm environment and the turbine design boundaries. The advantage of this method is that it can quickly iterate to find the optimal value for any turbulence distribution. The value is a fixed value, rather than a fixed value that is fixed to a specific theoretical distribution assumption.

[0081] S403, Based on the effective turbulence intensity limit Wind frequency reduction factor After implementing effective turbulence limit management, calculations were performed at different wind speeds at each machine location. Equivalent effective turbulence intensity As shown in the following formula:

[0082] .

[0083] S5. Determine whether the equivalent effective turbulence intensity of each turbine location at different wind speeds exceeds the effective turbulence design value. If it does not exceed the value, generate an effective turbulence limit curve based on the effective turbulence intensity limit considering the environmental turbulence quantile at each turbine location at different wind speeds, and proceed to step S6. If it exceeds the value, return to step S4, iteratively optimize the environmental turbulence quantile using the design turbulence boundary of the wind turbine as a constraint, until the equivalent effective turbulence intensity is not greater than the effective turbulence design value, and then determine the effective turbulence intensity limit corresponding to that wind speed. Iterate through all wind speed points to generate a set of wind speed-effective turbulence intensity limit data pairs, generate an effective turbulence limit curve based on the effective turbulence intensity limit corresponding to each wind speed, and proceed to step S6. The details are as follows:

[0084] Determine the equivalent effective turbulence intensity at each machine location under different wind speeds. Does it exceed the effective turbulence design value? ;

[0085] If not exceeded, then generate an effective turbulence limit curve based on the effective turbulence intensity limit of the environmental turbulence quantile for each machine position under different wind speeds, and jump to step S6;

[0086] If the value exceeds the limit, return to step S4 and iteratively optimize the environmental turbulence quantile using the design turbulence boundary of the wind turbine as a constraint. until the equivalent effective turbulence intensity Not greater than the effective turbulence design value Then, the effective turbulence intensity limit value corresponding to each wind speed is determined, and an effective turbulence limit value curve is generated based on the effective turbulence intensity limit value corresponding to each wind speed, and then the process jumps to step S6.

[0087] S6. Real-time control of the wind turbine is performed based on the effective turbulence limit curve, as detailed below:

[0088] S601. Obtain the current real-time wind speed and current real-time turbulence intensity at the hub height of the wind turbine.

[0089] S602. Based on the current real-time wind speed, query the effective turbulence limit curve to obtain the corresponding effective turbulence intensity limit;

[0090] S603. Compare the current real-time turbulence intensity with the effective turbulence intensity limit; if the current real-time turbulence intensity is greater than the effective turbulence intensity limit, issue a shutdown or power reduction command to the wind turbine; if the current real-time turbulence intensity is less than or equal to the effective turbulence intensity limit, maintain or resume the operation of the wind turbine; during the control process, consider setting a hysteresis margin to prevent frequent start-stop, such as the main controller performing a judgment every second: if the average real-time turbulence intensity of the 10-minute sliding window exceeds 105% of the effective turbulence intensity limit corresponding to the current real-time wind speed (set a 5% margin), then shut down; wait until the turbulence drops to below 95% of the effective turbulence intensity limit before restarting.

[0091] Through this embodiment, the power generation loss of the wind farm using the traditional WSM management method is 12% while ensuring safety, and the power generation loss after adopting this embodiment is 7%, which is expected to reduce the power generation loss by 5%.

[0092] Example 2:

[0093] This embodiment provides a wind farm effective turbulence limit management and wind turbine control system, used to implement the wind farm effective turbulence limit management and wind turbine control method described in Embodiment 1, including:

[0094] The basic data acquisition unit is used to acquire basic data of the wind farm.

[0095] The first calculation unit is used to calculate the initial effective turbulence intensity of each turbine location in the wind farm at different wind speeds, based on the basic data of the wind farm.

[0096] The first judgment unit is used to determine whether the initial effective turbulence intensity of each machine position under different wind speeds exceeds the effective turbulence design value.

[0097] The first generation unit is used to set the effective turbulence intensity limit value of each machine position to a preset value when the initial effective turbulence intensity does not exceed the effective turbulence design value, and to generate an effective turbulence limit curve based on the preset value.

[0098] The second calculation unit is used to calculate the effective turbulence intensity limit of each machine position under different wind speeds, taking into account the environmental turbulence quantile, when the initial effective turbulence intensity exceeds the effective turbulence design value; to reconstruct the wind frequency based on the environmental turbulence quantile and calculate the wind frequency reduction factor; and to calculate the equivalent effective turbulence intensity of each machine position under different wind speeds based on the effective turbulence intensity limit and the wind frequency reduction factor.

[0099] The second judgment unit is used to determine whether the equivalent effective turbulence intensity of each machine position under different wind speeds exceeds the effective turbulence design value.

[0100] The second generation unit is used to generate an effective turbulence limit curve based on the effective turbulence intensity limit of each machine position under different wind speeds, considering the environmental turbulence quantile, when the equivalent effective turbulence intensity does not exceed the effective turbulence design value.

[0101] The iterative optimization unit is used to iteratively optimize the environmental turbulence quantiles with the design turbulence boundary of the wind turbine as a constraint when the equivalent effective turbulence intensity exceeds the effective turbulence design value, until the equivalent effective turbulence intensity is not greater than the effective turbulence design value, and then determine the corresponding effective turbulence intensity limit value at each wind speed.

[0102] The third generation unit is used to generate effective turbulence limit curves based on the effective turbulence intensity limits corresponding to each wind speed.

[0103] The control unit, used for real-time control of the wind turbine based on the effective turbulence limit curve, specifically includes a wind speed identification module 101, a turbulence identification module 102, and a main control module 103, such as... Figure 3 As shown, the wind speed identification module 101 is used to obtain the current real-time wind speed at the hub height of the wind turbine, which is usually achieved by a nacelle anemometer; the turbulence identification module 102 is used to obtain the current real-time turbulence intensity acting on the wind turbine, which can be measured by devices such as a nacelle anemometer, lidar, or nacelle acceleration sensor; the main control module 103 is used to pre-store the effective turbulence limit curve and is configured to perform the following operations: receive real-time data from the wind speed identification module 101 and the turbulence identification module 102, compare the current real-time turbulence intensity with the effective turbulence intensity limit corresponding to the current real-time wind speed, generate corresponding control commands based on the comparison results, and send them to the wind turbine.

[0104] Example 3:

[0105] This embodiment provides a non-transitory computer-readable medium storing instructions, which, when executed by a processor, perform the wind farm effective turbulence limit management and wind turbine control method described in Embodiment 1.

[0106] Example 4:

[0107] This embodiment provides a computing device, including a processor and a memory for storing processor-executable programs. When the processor executes the program stored in the memory, it implements the wind farm effective turbulence limit management and wind turbine control method described in Embodiment 1.

[0108] The above description is merely a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope disclosed in the present invention, based on the technical solution and inventive concept of the present invention, shall fall within the scope of protection of the present invention.

Claims

1. A method for managing effective turbulence limits in wind farms and controlling wind turbine generators, characterized in that, Including the following steps: S1. Obtain basic data for the wind farm; S2. Based on the basic data of the wind farm, calculate the initial effective turbulence intensity of each turbine location in the farm at different wind speeds; S3. Determine whether the initial effective turbulence intensity of each turbine location at different wind speeds exceeds the effective turbulence design value of the wind farm; if it does not exceed the limit, set the effective turbulence intensity limit value of each turbine location to a preset value, generate an effective turbulence limit curve based on the preset value, and jump to step S6. If the limit is exceeded, proceed to step S4; S4. Calculate the effective turbulence intensity limit for each machine position under different wind speeds, taking into account the environmental turbulence quantile. Wind frequency reconstruction was performed based on the environmental turbulence quantile, and the wind frequency reduction factor was calculated. Based on the effective turbulence intensity limit and the wind frequency reduction factor, the equivalent effective turbulence intensity of each machine position under different wind speeds after the implementation of effective turbulence limit management was calculated. S5. Determine whether the equivalent effective turbulence intensity of each machine position at different wind speeds exceeds the effective turbulence design value; if it does not exceed the value, generate an effective turbulence limit curve based on the effective turbulence intensity limit of each machine position at different wind speeds considering the environmental turbulence quantile, and jump to step S6. If the value exceeds the limit, return to step S4 and iteratively optimize the environmental turbulence quantiles using the design turbulence boundary of the wind turbine as a constraint until the equivalent effective turbulence intensity is not greater than the effective turbulence design value. Then determine the effective turbulence intensity limit value corresponding to each wind speed, generate the effective turbulence limit curve based on the effective turbulence intensity limit value corresponding to each wind speed, and jump to step S6. S6. Real-time control of wind turbine units based on effective turbulence limit curves.

2. The method for managing effective turbulence limits in wind farms and controlling wind turbine generators according to claim 1, characterized in that, The basic data of the wind farm includes wind turbine design parameters, wind resource data, and wind turbine layout parameters. The wind turbine design parameters include basic turbine information, effective turbulence design values, and thrust curves. The wind resource data includes wind frequency distribution, environmental turbulence intensity, and its standard deviation.

3. The method for managing effective turbulence limits in wind farms and controlling wind turbine generators according to claim 1, characterized in that, Step S2 is as follows: ； in, For wind turbines at different wind speeds The initial effective turbulence intensity is as follows: The average wind speed at the hub height of the wind turbine is preset for a certain time period; The probability density function for wind direction is calculated based on the wind frequency distribution. The Wöhler index is the index of the materials used in wind turbine generators; Wind direction The combined turbulence intensity of the underlying environmental turbulence and the wake-added turbulence. , For environmental turbulence intensity, The standard deviation of the environmental turbulence intensity. To add turbulence intensity to the wake, , , For process parameters, This refers to the horizontal distance between the two wind turbine units. The diameter of the upstream wind turbine rotor. The thrust coefficient of the wind turbine that produces the wake effect is obtained from the thrust curve.

4. The method for managing effective turbulence limits in wind farms and controlling wind turbine generators according to claim 1, characterized in that, Step S4 is as follows: S401, Introducing environmental turbulence quantiles The calculations yielded results for each machine position at different wind speeds. Considering environmental turbulence quantiles Effective turbulence intensity limit As shown in the following formula: ； in, For environmental turbulence intensity, The standard deviation of the environmental turbulence intensity. To add turbulence intensity to the wake, , , For process parameters, This refers to the horizontal distance between the two wind turbine units. The diameter of the upstream wind turbine rotor. The thrust coefficient of a wind turbine that produces a wake effect is obtained from the thrust curve. The average wind speed at the hub height of the wind turbine is preset for a certain time period; S402, Based on environmental turbulence quantiles Wind frequency reconstruction was performed, and the wind frequency reduction factor was calculated. As shown in the following formula: ； in, The cumulative distribution function corresponding to the selected probability distribution function; S403, Based on the effective turbulence intensity limit Wind frequency reduction factor After implementing effective turbulence limit management, calculations were performed at different wind speeds at each machine location. Equivalent effective turbulence intensity As shown in the following formula: ； in, The probability density function for wind direction is calculated based on the wind frequency distribution. The Wöhler index is the material index used in wind turbine generators. This refers to the wind direction angle.

5. The method for managing effective turbulence limits in wind farms and controlling wind turbine generators according to claim 1, characterized in that, Step S5 is as follows: Determine the equivalent effective turbulence intensity at each machine location under different wind speeds. Does it exceed the effective turbulence design value? ; If not exceeded, then generate an effective turbulence limit curve based on the effective turbulence intensity limit of the environmental turbulence quantile for each machine position under different wind speeds, and jump to step S6; If the value exceeds the limit, return to step S4 and iteratively optimize the environmental turbulence quantile using the design turbulence boundary of the wind turbine as a constraint. until the equivalent effective turbulence intensity Not greater than the effective turbulence design value Then, the effective turbulence intensity limit value corresponding to each wind speed is determined, and an effective turbulence limit value curve is generated based on the effective turbulence intensity limit value corresponding to each wind speed, and then the process jumps to step S6.

6. The method for managing effective turbulence limits in wind farms and controlling wind turbine generators according to claim 1, characterized in that, Step S6 is as follows: S601. Obtain the current real-time wind speed and current real-time turbulence intensity at the hub height of the wind turbine. S602. Based on the current real-time wind speed, query the effective turbulence limit curve to obtain the corresponding effective turbulence intensity limit; S603. Compare the current real-time turbulence intensity with the effective turbulence intensity limit; If the current real-time turbulence intensity is greater than the effective turbulence intensity limit, a shutdown or reduced power operation command is issued to the wind turbine; if the current real-time turbulence intensity is less than or equal to the effective turbulence intensity limit, the wind turbine operation is maintained or restored.

7. A wind farm effective turbulence limit management and wind turbine control system, characterized in that, The method for implementing the effective turbulence limit management and wind turbine control method for wind farms according to any one of claims 1 to 6 includes: The basic data acquisition unit is used to acquire basic data of the wind farm. The first calculation unit is used to calculate the initial effective turbulence intensity of each turbine location in the wind farm at different wind speeds, based on the basic data of the wind farm. The first judgment unit is used to determine whether the initial effective turbulence intensity of each machine position under different wind speeds exceeds the effective turbulence design value. The first generation unit is used to set the effective turbulence intensity limit value of each machine position to a preset value when the initial effective turbulence intensity does not exceed the effective turbulence design value, and to generate an effective turbulence limit curve based on the preset value. The second calculation unit is used to calculate the effective turbulence intensity limit of each machine position under different wind speeds, taking into account the environmental turbulence quantile, when the initial effective turbulence intensity exceeds the effective turbulence design value; to reconstruct the wind frequency based on the environmental turbulence quantile and calculate the wind frequency reduction factor; and to calculate the equivalent effective turbulence intensity of each machine position under different wind speeds based on the effective turbulence intensity limit and the wind frequency reduction factor. The second judgment unit is used to determine whether the equivalent effective turbulence intensity of each machine position under different wind speeds exceeds the effective turbulence design value. The second generation unit is used to generate an effective turbulence limit curve based on the effective turbulence intensity limit of each machine position under different wind speeds, considering the environmental turbulence quantile, when the equivalent effective turbulence intensity does not exceed the effective turbulence design value. The iterative optimization unit is used to iteratively optimize the environmental turbulence quantiles with the design turbulence boundary of the wind turbine as a constraint when the equivalent effective turbulence intensity exceeds the effective turbulence design value, until the equivalent effective turbulence intensity is not greater than the effective turbulence design value, and then determine the corresponding effective turbulence intensity limit value at each wind speed. The third generation unit is used to generate effective turbulence limit curves based on the effective turbulence intensity limits corresponding to each wind speed. The control unit is used to perform real-time control of the wind turbine based on the effective turbulence limit curve.

8. The wind farm effective turbulence limit management and wind turbine control system according to claim 7, characterized in that, The control unit includes a wind speed identification module, a turbulence identification module, and a main control module. The wind speed identification module is used to obtain the current real-time wind speed at the hub height of the wind turbine. The turbulence identification module is used to obtain the current real-time turbulence intensity acting on the wind turbine. The main control module is used to pre-store the effective turbulence limit curve and is configured to perform the following operations: receive real-time data from the wind speed identification module and the turbulence identification module, compare the current real-time turbulence intensity with the effective turbulence intensity limit corresponding to the current real-time wind speed, generate corresponding control commands based on the comparison results, and send them to the wind turbine.

9. A non-transitory computer-readable medium storing instructions, characterized in that, When the instruction is executed by the processor, the wind farm effective turbulence limit management and wind turbine control method according to any one of claims 1 to 6 is executed.

10. A computing device, comprising a processor and a memory for storing a processor-executable program, characterized in that, When the processor executes the program stored in the memory, it implements the wind farm effective turbulence limit management and wind turbine control method according to any one of claims 1 to 6.

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