Method for optimal control of wind turbines in a wind farm and device therefor

Abstract

Embodiments of the present application provide a kind of wind turbine optimization control method and its device in wind farm.The method includes: the cabin of wind turbine in wind farm sweeps all space and is divided into multiple sectors;Wind speed is divided into multiple wind speed sections;The current cabin position and current wind speed of wind turbine in wind farm are acquired;The sector where the wind turbine currently is based on the current cabin position of wind turbine is determined;When determining the sector where the wind turbine currently is located in specific sector, then based on the wind speed section corresponding to current wind speed, switch to corresponding control algorithm;And based on control algorithm, corresponding control signal is generated to control wind turbine.Thereby, it can guarantee that wind turbine reduces noise and reduces the load brought by high turbulence during operation.

Description

Technical Field

[0001] This invention relates to the field of wind power generation technology, and in particular to an optimized control method and apparatus for wind turbines in a wind farm. Background Technology

[0002] With the gradual depletion of energy sources such as coal and oil, humanity is increasingly emphasizing the utilization of renewable energy. Wind energy, as a clean and renewable energy source, is receiving growing attention worldwide. For coastal islands, grassland pastoral areas, mountainous regions, and plateaus lacking water, fuel, and with inconvenient transportation, utilizing wind power in a way that is tailored to local conditions is highly suitable and has great potential. Wind power generation refers to using wind turbines to convert the kinetic energy of wind into electrical energy.

[0003] The noise emitted by wind turbines is high-frequency noise, the sound of airflow through the blades. The speed at the blade tips is 4-8 times the wind speed, producing a sound similar to a car speeding on a highway, thus affecting nearby residents and animals. Most wind turbines can currently reduce noise by detecting wind speed and reducing blade speed. Furthermore, an increasing number of wind farms are built on complex terrain, where wind speeds and directions create low wind speeds and high turbulence. If the blades and turbine yaw at these angles, it can severely impact the turbine's lifespan. Therefore, most wind turbines now have yaw tracking systems to reduce operating load. However, sometimes operating both reducing blade speed and the yaw tracking system simultaneously can affect the turbine's power generation, preventing it from reaching its maximum output. For example, when wind speeds are too low in an area, the turbine may not reach its maximum speed according to its preset strategy, thus affecting power generation. Summary of the Invention

[0004] The purpose of this invention is to provide an optimized control method and apparatus for wind turbines in a wind farm, which can ensure that the wind turbines reduce noise and reduce the load caused by high turbulence during operation.

[0005] One aspect of this invention provides an optimized control method for wind turbines in a wind farm. The method includes: dividing the space swept by the nacelle of the wind turbine in the wind farm into multiple sectors; dividing the wind speed into multiple wind speed segments; obtaining the current nacelle position and current wind speed of the wind turbine in the wind farm; determining the current sector of the wind turbine based on the current nacelle position; when it is determined that the current sector of the wind turbine is located in a specific sector, switching to a corresponding control algorithm based on the wind speed segment corresponding to the current wind speed; and generating a corresponding control signal based on the control algorithm to control the wind turbine.

[0006] Furthermore, the division of all the space swept by the nacelle of the wind turbine in the wind field into multiple sectors includes: if the turbulence intensity in a certain wind direction is greater than or equal to 10% of the average turbulence intensity of the wind field, then 20 degrees to the left and right of that direction is divided into a sector, each sector is not less than 40 degrees, and the total number of sectors does not exceed 6.

[0007] Further, the wind speed segments include a first wind speed segment, a second wind speed segment, a third wind speed segment, a fourth wind speed segment, a fifth wind speed segment, and a sixth wind speed segment, wherein the first wind speed segment < the second wind speed segment < the third wind speed segment < the fourth wind speed segment < the fifth wind speed segment < the sixth wind speed segment. The step of switching to the corresponding control algorithm based on the wind speed segment corresponding to the current wind speed includes: switching to a first control algorithm when the wind speed segment corresponding to the current wind speed is in the first wind speed segment; switching to a second control algorithm when the wind speed segment corresponding to the current wind speed is in the second wind speed segment; switching to a third control algorithm when the wind speed segment corresponding to the current wind speed is in the third wind speed segment; switching to a fourth control algorithm when the wind speed segment corresponding to the current wind speed is in the fourth wind speed segment; switching to a fifth control algorithm when the wind speed segment corresponding to the current wind speed is in the fifth wind speed segment; and switching to a sixth control algorithm when the wind speed segment corresponding to the current wind speed is in the sixth wind speed segment.

[0008] Furthermore, 13m / s ≤ the fifth wind speed range ≤ 25m / s, wherein when the current wind speed is in the fifth wind speed range, switching to the fifth control algorithm includes: calculating the optimal electromagnetic torque, and controlling the wind turbines in the entire wind field to reduce the blade speed based on the calculated optimal electromagnetic torque.

[0009] Furthermore, the control algorithm includes pitch control and generator torque control algorithms, wherein generating corresponding control signals based on the control algorithm includes generating corresponding pitch control signals and torque control signals based on the pitch control and generator torque control algorithms.

[0010] Furthermore, the formulas for the variable pitch control and generator torque control algorithms are as follows:

[0011] Q = kw 2 Where Q is the optimal electromagnetic torque, k is the optimal proportional coefficient, and w is the generator speed.

[0012] in, λ max The tip speed ratio is the optimal wind energy utilization coefficient, where R is the radius of the wind turbine impeller, G is the gearbox speed ratio, ρ is the air density, and C is the tip speed ratio. pmax It is the optimal wind energy utilization coefficient.

[0013] The calculation of the optimal electromagnetic torque includes: adjusting C pmax and λ max The optimal proportional coefficient k is obtained, and the optimal electromagnetic torque is calculated based on the optimal proportional coefficient k.

[0014] Further, 9m ≤ the first wind speed range < 10m / s, 10m / s ≤ the second wind speed range < 11m / s, 11m / s ≤ the third wind speed range < 12m / s, 12m / s ≤ the fourth wind speed range < 13m / s, and the sixth wind speed range > 25m / s, wherein, when the current wind speed is within the first wind speed range, the fan is controlled to operate at full capacity freely; when the current wind speed is within the second wind speed range, the fan is controlled to operate at full capacity automatically; when the current wind speed is within the second wind speed range, the fan is controlled to operate at full capacity automatically. When the wind speed is in the third wind speed range, all wind turbines in the wind farm are controlled to generate active power on average; when the current wind speed is in the fourth wind speed range, the wind turbines are controlled to generate active power with equal margin; and when the current wind speed is in the sixth wind speed range, the first 5% of the wind turbines in the wind farm generate the minimum active power value, while the last 95% of the wind turbines idle. Every three hours, the wind turbines generating the minimum active power value are rotated to the next turbine, and this cycle continues until the wind speed drops to the first five wind speed ranges or the power grid issues a new active power value for the entire wind farm.

[0015] Another aspect of this invention provides an optimized control device for wind turbines in a wind farm. The device includes a sensor, a sector yaw position detection module, a wind speed detection module, and a main control system. The sensor is used to acquire the current nacelle position of the wind turbine. The sector yaw position detection module is used to determine the sector in which the wind turbine is currently located based on the current nacelle position. The wind speed detection module is used to acquire the current wind speed of the wind turbine. The main control system includes a control mode switching module and a sector control strategy module. The sector control strategy module is used to store control algorithms for different wind speed segments in a specific sector. The control mode switching module is used to switch to the corresponding control algorithm based on the wind speed segment corresponding to the current wind speed when it is determined that the sector in which the wind turbine is currently located is in a specific sector, and to generate corresponding control signals based on the control algorithm to control the wind turbine.

[0016] Furthermore, the sensor includes an absolute rotary encoder.

[0017] Furthermore, the control mode switching module is used to activate the sector control strategy module to switch to the corresponding control algorithm based on the wind speed segment corresponding to the current wind speed when it is determined that the sector where the wind turbine is currently located is in a specific sector and the current wind speed is higher than the first wind speed segment.

[0018] Furthermore, the sector control strategy module is used to store the first control algorithm corresponding to the first wind speed segment, the second control algorithm corresponding to the second wind speed segment, the third control algorithm corresponding to the third wind speed segment, the fourth control algorithm corresponding to the fourth wind speed segment, the fifth control algorithm corresponding to the fifth wind speed segment, and the sixth control algorithm corresponding to the sixth wind speed segment, wherein the first wind speed segment < the second wind speed segment < the third wind speed segment < the fourth wind speed segment < the fifth wind speed segment < the sixth wind speed segment.

[0019] Furthermore, given that 9m ≤ the first wind speed range < 10m / s, 10m / s ≤ the second wind speed range < 11m / s, 11m / s ≤ the third wind speed range < 12m / s, 12m / s ≤ the fourth wind speed range < 13m / s, 13m / s ≤ the fifth wind speed range ≤ 25m / s, and the sixth wind speed range > 25m / s, the first control algorithm includes controlling the wind turbine to operate at full capacity freely; the second control algorithm includes controlling the wind turbine to operate at full capacity automatically; and the third control algorithm includes controlling the wind field... The average active power generated by all wind turbines; the fourth control algorithm includes controlling the wind turbines to generate active power with equal margin; the fifth control algorithm includes calculating the optimal electromagnetic torque and controlling the wind turbines throughout the wind farm to reduce their blade speed based on the calculated optimal electromagnetic torque; the sixth control algorithm includes the first 5% of the wind turbines in the wind farm generating the minimum active power value, while the remaining 95% of the wind turbines idle, and every three hours, the wind turbines generating the minimum active power value are rotated to the next turbine, and this cycle continues until the wind speed drops to the first five wind speed ranges or the power grid issues a new active power value for the entire wind farm.

[0020] Furthermore, the fifth control algorithm includes pitch control and generator torque control algorithms, and the control mode switching module is used to generate corresponding pitch control signals and torque control signals based on the pitch control and generator torque control algorithms.

[0021] The optimized control method and apparatus for wind turbines in wind farms according to one or more embodiments of the present invention can ensure that the wind turbines reduce noise and reduce the load caused by high turbulence during operation.

[0022] The optimized control method and apparatus for wind turbines in wind farms according to one or more embodiments of the present invention can be applied to most modern horizontal axis wind turbines, can operate in more complex terrains, reduce operating loads, optimize the control effect of wind farm turbines, and improve wind energy efficiency. Attached Figure Description

[0023] Figure 1 This is a flowchart illustrating an optimized control method for wind turbines in a wind farm according to an embodiment of the present invention.

[0024] Figure 2 This is a schematic block diagram of an optimized control device for wind turbines in a wind farm, according to an embodiment of the present invention. Detailed Implementation

[0025] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numerals in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatuses consistent with some aspects of the invention as detailed in the appended claims.

[0026] The terminology used in this invention embodiment is for the purpose of describing particular embodiments only and is not intended to limit the invention. Unless otherwise defined, the technical or scientific terms used in this invention embodiment should be understood in their ordinary sense by one of ordinary skill in the art to which this invention pertains. The terms "first," "second," and similar terms used in this specification and claims do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Similarly, "a" or "one," and similar terms do not indicate a quantity limitation, but rather indicate the presence of at least one. "A plurality" or "several" indicates two or more. Unless otherwise stated, "front," "rear," "lower," and / or "upper," and similar terms are for ease of description only and are not limited to a location or spatial orientation. The terms "comprising" or "including," and similar terms mean that the element or object preceding "comprising" covers the element or object listed following "comprising" or "including" and its equivalents, and do not exclude other elements or objects. The terms "connected," "linked," and similar terms are not limited to physical or mechanical connections and can include electrical connections, whether direct or indirect. The singular forms “a,” “the,” and “the” used in this specification and appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used herein refers to and includes any or all possible combinations of one or more of the associated listed items.

[0027] This invention provides an optimized control method for wind turbines in a wind farm. Figure 1 A flowchart illustrating an embodiment of the optimized control method for wind turbines in a wind farm according to the present invention is provided. Figure 1 As shown, an embodiment of the wind farm optimization control method of the present invention may include steps S1 to S6.

[0028] In step S1, the entire space swept by the nacelle of the wind turbine in the wind farm is divided into multiple sectors.

[0029] If the turbulence intensity in a certain wind direction is greater than or equal to 10% of the average turbulence intensity of the wind field, then 20 degrees to the left and right of that direction shall be divided into a sector, each sector shall be no less than 40 degrees, and the total number of sectors shall not exceed 6.

[0030] In step S2, the wind speed is divided into multiple wind speed segments.

[0031] In some embodiments, the wind speed range may include, for example, a first wind speed range, a second wind speed range, a third wind speed range, a fourth wind speed range, a fifth wind speed range, and a sixth wind speed range, wherein the first wind speed range < the second wind speed range < the third wind speed range < the fourth wind speed range < the fifth wind speed range < the sixth wind speed range. In one embodiment, 9m ≤ the first wind speed range < 10m / s, 10m / s ≤ the second wind speed range < 11m / s, 11m / s ≤ the third wind speed range < 12m / s, 12m / s ≤ the fourth wind speed range < 13m / s, 13m / s ≤ the fifth wind speed range ≤ 25m / s, and the sixth wind speed range > 25m / s.

[0032] In step S3, the current nacelle position and current wind speed of the wind turbine in the wind farm are obtained.

[0033] Sensors can be installed on the yaw bearing of the wind turbine or the turbine's built-in sensors can be used. One example of a sensor is an absolute rotary encoder. The current nacelle position of the wind turbine within the wind farm can be determined using these sensors.

[0034] In step S4, the sector where the wind turbine is currently located can be determined based on the current nacelle position of the wind turbine obtained in step S3.

[0035] In step S5, when it is determined that the current sector of the wind turbine is located in a specific sector, the corresponding control algorithm is switched based on the wind speed segment corresponding to the current wind speed.

[0036] In some embodiments, switching to the corresponding control algorithm based on the wind speed segment corresponding to the current wind speed may include: switching to the first control algorithm when the wind speed segment corresponding to the current wind speed is in the first wind speed segment; switching to the second control algorithm when the wind speed segment corresponding to the current wind speed is in the second wind speed segment; switching to the third control algorithm when the wind speed segment corresponding to the current wind speed is in the third wind speed segment; switching to the fourth control algorithm when the wind speed segment corresponding to the current wind speed is in the fourth wind speed segment; switching to the fifth control algorithm when the wind speed segment corresponding to the current wind speed is in the fifth wind speed segment; and switching to the sixth control algorithm when the wind speed segment corresponding to the current wind speed is in the sixth wind speed segment.

[0037] In one embodiment, when the current wind speed is in the first wind speed range, the wind turbine is controlled to operate at full capacity (when the active power control mode is switched to the free full capacity mode, the field control program sends the installed capacity of each wind turbine as the target value to the wind turbine).

[0038] In one embodiment, when the current wind speed is in the second wind speed range, the wind turbine is controlled to automatically operate at full capacity (when the active power control mode is switched to the automatic full capacity mode, the program automatically uses the total installed capacity as the active power target value).

[0039] In one embodiment, when the current wind speed is in the third wind speed range, the average active power generated by all wind turbines in the wind farm is controlled.

[0040] In one embodiment, when the current wind speed is in the fourth wind speed range, the wind turbine is controlled to generate active power with equal margin (equal margin allocation means that when allocating active power, the target value of the wind turbine is proportional to the adjustment margin of the wind turbine, where the upward adjustment margin of the wind turbine = theoretical power of the wind turbine - actual power of the wind turbine, and the downward adjustment margin of the wind turbine = actual power of the wind turbine - minimum controllable power of the wind turbine).

[0041] In one embodiment, when the current wind speed is in the fifth wind speed range, the optimal electromagnetic torque is calculated according to the method described below, and the blade speed of the wind turbine in the entire wind field is reduced based on the calculated optimal electromagnetic torque.

[0042] The fifth control algorithm includes pitch control and generator torque control algorithms. The formulas for the pitch control and generator torque control algorithms are shown below:

[0043] Q = kw 2 (1)

[0044] Where Q is the optimal electromagnetic torque, k is the optimal proportional coefficient, and w is the generator speed.

[0045] The formula for calculating the optimal scaling factor k is as follows:

[0046]

[0047] Where, λ max The tip speed ratio is the optimal wind energy utilization coefficient, where R is the radius of the wind turbine impeller, G is the gearbox speed ratio, ρ is the air density, and C is the tip speed ratio. pmax It is the optimal wind energy utilization coefficient.

[0048] Therefore, calculating the optimal electromagnetic torque includes: adjusting C pmax and λ max The optimal proportional coefficient k is obtained, and the optimal electromagnetic torque Q is calculated based on the optimal proportional coefficient k.

[0049] In one embodiment, when the current wind speed is in the sixth wind speed segment, the first 5% of the wind turbines in the wind farm perform work according to the minimum active power value, while the last 95% of the wind turbines idle. Every three hours, the wind turbines that perform the minimum active power value are rotated to the next segment, and this cycle continues until the wind speed drops to the first five wind speed segments or the power grid issues a new active power value for the entire wind farm.

[0050] In step S6, a corresponding control signal can be generated based on the control algorithm in step S5 to control the wind turbine.

[0051] When the current wind speed is in the fifth wind speed range, the control algorithm includes pitch control and generator torque control algorithms. Therefore, the step S6 of generating the corresponding control signal based on the control algorithm may include generating the corresponding pitch control signal and torque control signal based on the pitch control and generator torque control algorithms to perform corresponding pitch and torque control on the wind turbine.

[0052] The optimized control method for wind turbines in wind farms according to embodiments of the present invention can ensure that the wind turbines reduce noise and reduce the load caused by high turbulence during operation.

[0053] The optimized control method for wind turbines in wind farms according to the present invention can be applied to most modern horizontal axis wind turbines, can operate in more complex terrains, reduce operating loads, optimize the control effect of wind farm turbines, and improve wind energy efficiency.

[0054] This invention also provides an optimized control device 10 for wind turbines in a wind farm. Figure 2 A schematic block diagram of an optimized control device 10 for wind turbines in a wind farm, according to an embodiment of the present invention, is shown. Figure 2 As shown, an optimized control device 10 for wind turbines in a wind farm according to an embodiment of the present invention includes a sensor 11, a sector yaw position detection module 12, a wind speed detection module 13, and a main control system 14.

[0055] Sensor 11 can be used to obtain the current nacelle position of the wind turbine. The sensor can be mounted on the yaw bearing of the wind turbine or a built-in sensor can be used. Sensor 11 may include, for example, an absolute rotary encoder.

[0056] The sector yaw position detection module 12 can determine the sector where the wind turbine is currently located based on the current nacelle position of the wind turbine.

[0057] The wind speed detection module 13 can be used to obtain the current wind speed of the fan.

[0058] The main control system 14 may include a control mode switching module 141 and a sector control strategy module 142. The control mode switching module 141 and the sector control strategy module 142 may be located in the PLC (Programmable Logic Controller) of the main control system 14. The sector control strategy module 142 stores control algorithms for different wind speed segments in a specific sector. The control mode switching module 141, when determining that the current sector of the wind turbine is located in a specific sector, switches to the corresponding control algorithm based on the wind speed segment corresponding to the current wind speed, and generates corresponding control signals based on the control algorithm to control the wind turbine.

[0059] When the control mode switching module 141 determines that the current sector of the fan is located in a specific sector and the current wind speed is higher than the first wind speed segment, the sector control strategy module 142 will be activated to switch to the corresponding control algorithm based on the wind speed segment corresponding to the current wind speed.

[0060] The sector control strategy module 142 can store the first control algorithm corresponding to the first wind speed segment, the second control algorithm corresponding to the second wind speed segment, the third control algorithm corresponding to the third wind speed segment, the fourth control algorithm corresponding to the fourth wind speed segment, the fifth control algorithm corresponding to the fifth wind speed segment, and the sixth control algorithm corresponding to the sixth wind speed segment, wherein the order is: first wind speed segment < second wind speed segment < third wind speed segment < fourth wind speed segment < fifth wind speed segment < sixth wind speed segment.

[0061] In some embodiments, 9m ≤ first wind speed segment < 10m / s, 10m / s ≤ second wind speed segment < 11m / s, 11m / s ≤ third wind speed segment < 12m / s, 12m / s ≤ fourth wind speed segment < 13m / s, 13m / s ≤ fifth wind speed segment ≤ 25m / s, and sixth wind speed segment > 25m / s.

[0062] The first control algorithm includes controlling the wind turbines to operate at full power freely; the second control algorithm includes controlling the wind turbines to operate at full power automatically; the third control algorithm includes controlling all wind turbines in the wind farm to generate active power on average; and the fourth control algorithm includes controlling the wind turbines to generate active power with equal margin.

[0063] The fifth control algorithm includes calculating the optimal electromagnetic torque and controlling the wind turbines in the entire wind farm to reduce their blade speed based on the calculated optimal electromagnetic torque. The optimal electromagnetic torque can be calculated according to formulas (1) and (2) mentioned in the optimization control method for wind turbines in the wind farm above. The fifth control algorithm includes pitch control and generator torque control algorithms. The control mode switching module 141 can generate corresponding pitch control signals and torque control signals based on the pitch control and generator torque control algorithms, thereby controlling the wind turbines accordingly.

[0064] The sixth control algorithm includes the first 5% of wind turbines in the wind farm operating at the minimum active power value, and the remaining 95% of wind turbines idling. Every three hours, the wind turbines operating at the minimum active power value are rotated to the next turbine, and this cycle continues until the wind speed drops to the first five wind speed ranges or the power grid issues a new active power value for the entire wind farm.

[0065] The wind turbine optimization control device 10 in the wind farm of this embodiment of the invention has similar beneficial technical effects to the wind turbine optimization control method in the wind farm described above, so it will not be described again here.

[0066] The optimized control method and apparatus for wind turbines in a wind farm provided by the embodiments of the present invention have been described in detail above. Specific examples have been used to illustrate the optimized control method and apparatus for wind turbines in a wind farm according to the embodiments of the present invention. The descriptions of the above embodiments are only for helping to understand the core ideas of the present invention and are not intended to limit the present invention. It should be noted that those skilled in the art can make several improvements and modifications to the present invention without departing from the spirit and principles of the present invention, and all such improvements and modifications should fall within the protection scope of the appended claims.

Claims

1. A method of optimal control of wind turbines in a wind farm, characterized in that: It includes: The space swept by the nacelle of the wind turbine in the wind farm is divided into multiple sectors; The wind speed is divided into multiple wind speed segments; Obtain the current nacelle position and current wind speed of the wind turbines in the wind farm; The sector in which the wind turbine is currently located is determined based on the current nacelle position of the wind turbine; When it is determined that the sector in which the wind turbine is currently located is in a specific sector, the corresponding control algorithm is switched based on the wind speed segment corresponding to the current wind speed. as well as Based on the aforementioned control algorithm, corresponding control signals are generated to control the wind turbine, thereby reducing noise and minimizing the load caused by high turbulence. The wind speed segments include a first wind speed segment, a second wind speed segment, a third wind speed segment, a fourth wind speed segment, a fifth wind speed segment, and a sixth wind speed segment, wherein the first wind speed segment < the second wind speed segment < the third wind speed segment < the fourth wind speed segment < the fifth wind speed segment < the sixth wind speed segment. The step of switching to the corresponding control algorithm based on the wind speed segment corresponding to the current wind speed includes: switching to the first control algorithm when the wind speed segment corresponding to the current wind speed is in the first wind speed segment; switching to the second control algorithm when the wind speed segment corresponding to the current wind speed is in the second wind speed segment; switching to the third control algorithm when the wind speed segment corresponding to the current wind speed is in the third wind speed segment; switching to the fourth control algorithm when the wind speed segment corresponding to the current wind speed is in the fourth wind speed segment; switching to the fifth control algorithm when the wind speed segment corresponding to the current wind speed is in the fifth wind speed segment; and switching to the sixth control algorithm when the wind speed segment corresponding to the current wind speed is in the sixth wind speed segment. The first to the fourth control algorithms each employ a differentiated active power allocation method; When the current wind speed is in the sixth wind speed segment, the first 5% of the wind turbines in the wind farm will generate the minimum active power, while the last 95% of the wind turbines will idle. Every three hours, the wind turbines generating the minimum active power will rotate to the next segment, and this cycle will continue until the wind speed drops to the first five wind speed segments or the power grid issues a new active power value for the entire wind farm.

2. The method of claim 1, wherein: The division of all the space swept by the nacelle of the wind turbine in the wind farm into multiple sectors includes: If the turbulence intensity in a certain wind direction is greater than or equal to 10% of the average turbulence intensity of the wind field, then 20 degrees to the left and right of that direction shall be divided into a sector, each sector shall be no less than 40 degrees, and the total number of sectors shall not exceed 6.

3. The method of claim 1, wherein: 13 m / s ≤ the fifth wind speed range ≤ 25 m / s, wherein, when the current wind speed is within the fifth wind speed range, switching to the fifth control algorithm includes: Calculate the optimal electromagnetic torque and control the blade speed of the wind turbines in the entire wind farm to reduce based on the calculated optimal electromagnetic torque.

4. The method of claim 3, wherein: The control algorithm includes pitch control and generator torque control algorithms, wherein generating corresponding control signals based on the control algorithm includes: The corresponding pitch control signal and torque control signal are generated based on the pitch control and generator torque control algorithms.

5. The method of claim 4, wherein: The formulas for the variable pitch control and generator torque control algorithms are as follows: Where Q is the optimal electromagnetic torque, k is the optimal proportional coefficient, and w is the generator speed. wherein , is the tip speed ratio value of the optimal wind energy utilization coefficient, R is the radius of the fan impeller, G is the gearbox speed ratio, p is the air density, is the optimal wind energy utilization coefficient, The calculating the optimal electromagnetic torque comprises: adjusting the electromagnetic torque to obtain an optimal proportional coefficient k, and calculating the optimal electromagnetic torque based on the optimal proportional coefficient. and to obtain an optimal proportional coefficient k, and calculating the optimal electromagnetic torque based on the optimal proportional coefficient.

6. The method as described in claim 1, characterized in that: 9 m / s ≤ first wind speed range < 10 m / s, 10 m / s ≤ second wind speed range < 11 m / s, 11 m / s ≤ third wind speed range < 12 m / s, 12 m / s ≤ fourth wind speed range < 13 m / s, and the sixth wind speed range > 25 m / s, wherein... When the current wind speed is within the first wind speed range, the fan is controlled to operate at full capacity. When the current wind speed is within the second wind speed range, the fan is automatically controlled to operate at full capacity. When the current wind speed is in the third wind speed range, the average power output of all wind turbines in the wind farm is controlled. When the current wind speed is in the fourth wind speed range, the wind turbine is controlled to generate active power with equal margin.

7. An optimized control device for wind turbines in a wind farm, characterized in that: It includes: Sensors are used to obtain the current nacelle position of the wind turbine; The sector yaw position detection module is used to determine the sector where the wind turbine is currently located based on the current nacelle position of the wind turbine. The wind speed detection module is used to obtain the current wind speed of the fan; The main control system includes a control mode switching module and a sector control strategy module. The sector control strategy module stores control algorithms for different wind speed segments in a specific sector. The control mode switching module, when determining that the current sector of the wind turbine is located in a specific sector, switches to the corresponding control algorithm based on the wind speed segment corresponding to the current wind speed, and generates corresponding control signals based on the control algorithm to control the wind turbine, thereby reducing noise and minimizing the load caused by high turbulence. The wind speed segments include a first wind speed segment, a second wind speed segment, a third wind speed segment, a fourth wind speed segment, a fifth wind speed segment, and a sixth wind speed segment, wherein the first wind speed segment < the second wind speed segment < the third wind speed segment < the fourth wind speed segment < the fifth wind speed segment < the sixth wind speed segment. The sector control strategy module stores a first control algorithm corresponding to the first wind speed segment, a second control algorithm corresponding to the second wind speed segment, a third control algorithm corresponding to the third wind speed segment, a fourth control algorithm corresponding to the fourth wind speed segment, and so on. The control mode switching module is configured to: when it is determined that the current sector of the wind turbine is located in a specific sector and the current wind speed is higher than the first wind speed segment, activate the sector control strategy module to switch to the corresponding control algorithm based on the wind speed segment corresponding to the current wind speed. Specifically, when the wind speed segment corresponding to the current wind speed is in the first wind speed segment, switch to the first control algorithm; when the wind speed segment corresponding to the current wind speed is in the second wind speed segment, switch to the second control algorithm; when the wind speed segment corresponding to the current wind speed is in the third wind speed segment, switch to the third control algorithm; when the wind speed segment corresponding to the current wind speed is in the fourth wind speed segment, switch to the fourth control algorithm; when the wind speed segment corresponding to the current wind speed is in the fifth wind speed segment, switch to the fifth control algorithm; and when the wind speed segment corresponding to the current wind speed is in the sixth wind speed segment, switch to the sixth control algorithm. The first to the fourth control algorithms each employ differentiated active power allocation methods. When the current wind speed is in the sixth wind speed segment, the first 5% of the wind turbines in the wind farm will generate the minimum active power, while the last 95% of the wind turbines will idle. Every three hours, the wind turbines generating the minimum active power will rotate to the next segment, and this cycle will continue until the wind speed drops to the first five wind speed segments or the power grid issues a new active power value for the entire wind farm.

8. The apparatus as claimed in claim 7, characterized in that: The sensor includes an absolute rotary encoder.

9. The apparatus as claimed in claim 7, characterized in that: For the wind speed ranges 9 m / s ≤ first wind speed segment < 10 m / s, 10 m / s ≤ second wind speed segment < 11 m / s, 11 m / s ≤ third wind speed segment < 12 m / s, 12 m / s ≤ fourth wind speed segment < 13 m / s, 13 m / s ≤ fifth wind speed segment ≤ 25 m / s, and the sixth wind speed segment > 25 m / s, the first control algorithm includes controlling the wind turbines to operate at full power freely; the second control algorithm includes controlling the wind turbines to operate at full power automatically; the third control algorithm includes controlling all wind turbines in the wind farm to generate active power on average; the fourth control algorithm includes controlling the wind turbines to generate active power with equal margin; and the fifth control algorithm includes calculating the optimal electromagnetic torque and controlling the blade speed of all wind turbines in the wind farm to reduce based on the calculated optimal electromagnetic torque.

10. The apparatus as claimed in claim 9, characterized in that: The fifth control algorithm includes pitch control and generator torque control algorithms. The control mode switching module is used to generate corresponding pitch control signals and torque control signals based on the pitch control and generator torque control algorithms.

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