Small wind driven generator and control system thereof

Abstract

The invention discloses a small wind driven generator and a control system thereof, and belongs to the technical field of wind power generation. The small wind driven generator comprises a power generation unit, a control unit and a data interaction unit; the small-sized wind driven generator control system comprises a wind speed monitoring module, a data transmission module, a data analysis module and an execution module, the wind speed monitoring module is used for monitoring real-time wind speed, the data transmission module is used for being responsible for data transmission of the whole control system, and the data analysis module is used for analyzing according to various received data. And the execution module is used for controlling a control unit of the small-sized wind driven generator. In the implementation process of the technical scheme, by monitoring the wind speed, then analyzing the wind speed and controlling the control unit of the small wind driven generator through the execution module, efficient and stable power generation efficiency can be kept at different wind speeds, and the damage risk of the wind speed to blades is reduced.

Description

Technical Field

[0001] The present application relates to the technical field of wind power generation, and in particular to a small wind turbine generator and a control system thereof. Background Art

[0002] With the consumption of energy, more and more clean energy has been developed. Wind energy is one of the commonly used clean energy. By deploying wind turbines in windy areas, wind energy can be converted into electrical energy, thereby improving energy utilization and reducing carbon emissions.

[0003] Wind turbines are divided into small wind turbines and large wind turbines according to their scale. Small wind turbines have the advantages of low cost, simple transportation and installation, and off-grid operation. They are often used in small-scale scenarios such as rural areas and households. Large wind turbines have the advantages of large scale, grid-connected operation, and low-speed power generation. They are often used in large-scale scenarios such as coastlines. When laying out wind turbines, it is usually necessary to reasonably select the type of wind turbine based on geographical location, power generation needs, etc. With the increase in carbon emission requirements, the application scale of small wind turbines has gradually expanded. In recent years, they have gradually been used in factories and cities to alleviate peak power consumption pressure and reduce electricity expenses.

[0004] However, there are still some problems in the application of small wind turbines. For example, due to the scale of small wind turbines, the blades cannot be designed to be too large, resulting in limited power generation efficiency of small wind turbines. At the same time, when the wind speed continues to increase to exceed the design threshold of the small wind turbine, the blades will be subjected to greater wind pressure and easily damaged. Although the operation can be stopped by locking the blades, this will cause power generation to be suspended and reduce the utilization of wind energy. When the wind turbine is shut down, the blades are in a stationary state and are still affected by wind. In strong winds, the blades may be subjected to greater stress, resulting in bending and damage. How to balance the impact of wind speed on blades and improve power generation efficiency has become an urgent problem that needs to be solved for small wind turbines.

[0005] Therefore, it is necessary to provide a small wind turbine generator and a control system thereof to solve the above problems.

[0006] It should be noted that the above information disclosed in this background technology section is only for understanding the background technology of the present application concept, and therefore, it may contain information that does not constitute the prior art. Summary of the invention

[0007] Based on the above-mentioned problems existing in the prior art, the problem to be solved by this application is: to provide a small wind turbine and its control system, so as to achieve efficient adaptation to wind speed fluctuations by optimizing execution signals, thereby reducing the risk of blade damage while ensuring power generation efficiency and enhancing the stability and reliability of the system.

[0008] The technical solution adopted by the present application to solve the technical problem is: a small wind turbine control system, the small wind turbine comprising a power generation unit, a control unit and a data exchange unit, the power generation unit is used to convert wind energy into electrical energy, the control unit is used to realize the control function, and the data exchange unit is used to perform data exchange inside and outside the device;

[0009] The small wind turbine control system includes a wind speed monitoring module, a data transmission module, a data analysis module, and an execution module. The wind speed monitoring module is used to monitor the real-time wind speed, the data transmission module is used to be responsible for the data transmission of the entire control system, the data analysis module is used to analyze the various types of data received, and the execution module is used to control the control unit of the small wind turbine.

[0010] During the implementation of the technical solution of the present application, the wind speed is monitored and then analyzed, and the control unit of the small wind turbine is controlled through the execution module, so as to achieve high and stable power generation efficiency at different wind speeds and reduce the risk of damage to the blades caused by wind speed.

[0011] Furthermore, the small wind turbine control system operates a method for operating a small wind turbine control system, and the operating method comprises:

[0012] The data analysis module receives the first wind speed data collected by the wind speed monitoring module and the operation data of the small wind turbine generator, and performs a preliminary analysis on the first wind speed data in combination with the operation data of the small wind turbine generator to determine a first wind speed interval and a second wind speed interval;

[0013] Reanalyze the received first wind speed data, determine the wind speed interval range that the current wind speed falls into, and generate an execution signal sequence, the execution signal sequence including a holding signal and an adjustment signal;

[0014] Establish a hysteresis feedback mechanism to dynamically match the data of the wind speed monitoring module with the data of the execution module;

[0015] Before the execution device executes the corresponding execution signal, the execution signal is verified to reduce response deviation.

[0016] Furthermore, the method for determining the first wind speed interval and the second wind speed interval includes:

[0017] Establish a linear conversion model between wind speed and blade speed, and obtain the speed power curve of a small wind turbine;

[0018] The blade speed is converted into wind speed according to a linear conversion model, and a wind speed power curve is obtained according to the speed power curve;

[0019] According to the wind speed power curve, the first wind speed interval and the second wind speed interval are obtained, wherein the left endpoint of the first wind speed interval is the wind speed corresponding to the cut-in speed of the blade, and the right endpoint is the wind speed when the output power of the small wind turbine reaches the maximum value; the left endpoint of the second wind speed interval is the wind speed when the output power of the small wind turbine begins to decrease, and the right endpoint is the maximum wind speed at which the small wind turbine can operate safely.

[0020] Furthermore, establishing a linear model of wind speed and blade rotation speed includes: establishing a linear model, and respectively obtaining the wind speed and rotation speed at the same time, establishing a corresponding linear conversion relationship, and outputting the corresponding rotation speed or wind speed.

[0021] Furthermore, the linear model is a linear regression model.

[0022] Furthermore, the maintaining signal and the adjusting signal are both analog signals, and the execution signal in the execution signal sequence has a storage period, which is consistent with the wind speed change unit.

[0023] Furthermore, establishing a hysteresis feedback mechanism and dynamically matching the data of the wind speed monitoring module with the data of the execution module further includes:

[0024] Dynamically collect and analyze the time difference between the wind speed monitoring module and the execution module, and adjust the storage period of the execution signal sequence;

[0025] Optimize the execution signal, introduce a prediction model, and predict the possible wind speed changes in the future based on the wind speed change trend, so as to adjust the execution signal in advance;

[0026] The accuracy of the prediction model is calibrated in real time through a feedback mechanism, and the accuracy of the model prediction is optimized by feedback of actual wind speed data.

[0027] Furthermore, the prediction model is an autoregressive moving average model or a long short-term memory network.

[0028] Furthermore, local meteorological information is integrated into the prediction model, and the prediction algorithm is dynamically adjusted in combination with real-time data.

[0029] Furthermore, the output of the prediction model is verified using dynamic error analysis and feedback adjustment, and the accuracy of the execution signal is optimized by combining real-time meteorological data with historical wind speed information.

[0030] The beneficial effects of the present application are as follows: the present application provides a small wind turbine and its control system, which monitors the wind speed, analyzes the wind speed, and controls the control unit of the small wind turbine through an execution module, thereby achieving high and stable power generation efficiency at different wind speeds and reducing the risk of damage to the blades caused by wind speed.

[0031] In addition to the above-described purposes, features and advantages, the present application also has other purposes, features and advantages. The present application will be further described in detail with reference to the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The drawings in the specification, which constitute a part of the present application, are used to provide further understanding of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute improper limitations on the present application.

[0033] In the attached picture:

[0034] Figure 1 This is an overall schematic diagram of a small wind turbine and its control system in this application;

[0035] Figure 2 A schematic diagram of the steps of an operation method of a small wind turbine control system in the present application;

[0036] Figure 3 This is a schematic diagram of the wind speed power curve in this application. DETAILED DESCRIPTION

[0037] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0038] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution 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. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0039] Embodiment 1: Figure 1As shown, the present application provides a small wind turbine and its control system, wherein the small wind turbine is composed of a power generation unit, a control unit and a data exchange unit, wherein the power generation unit includes conventional wind turbine components such as a tower, a base, a generator, and blades, and is used to convert wind energy into electrical energy, and specific reference may be made to the prior art; the control unit is used to implement various control functions, such as adjusting the blade speed, blade orientation, generator output power, etc., and the control unit may use relays, frequency converters, servo motors, steering servos, inverters and other devices to implement various control functions, and the data exchange unit is used to perform data exchange inside and outside the device, such as transmission of wind turbine operation data, acquisition of device control instructions, etc., and there is a data exchange channel between the power generation unit and the control unit and the data exchange unit, and the channel may be a wired or wireless transmission channel, which is not limited in this embodiment. In practical applications, considering factors such as cost and transmission stability, wired transmission channels are generally selected, such as power lines, serial communication lines, CAN buses, optical fibers, etc.;

[0040] The present application also proposes a small wind turbine control system, which is used to control the operation process of the small wind turbine, control and optimize the power generation efficiency, ensure stable power output under variable wind speed conditions, and improve the anti-interference ability of power output by reversely regulating the wind turbine. At the same time, the system can also monitor the working status of various components of the wind turbine in real time, timely discover and prevent potential faults, and ensure the long-term stable operation of the wind power generation system;

[0041] The small wind turbine control system includes the following modules:

[0042] A wind speed monitoring module is provided in a small wind turbine to monitor the real-time wind speed and send the monitored wind speed information to a server;

[0043] In the operation of small wind turbines, wind speed monitoring is an indispensable link, because the generator needs to rely on wind power to drive the blades to rotate to a certain speed to generate electricity. In practical applications, especially for small wind turbines, there is a cut-in speed for the blade speed. After reaching this cut-in speed, the wind turbine will generate effective electricity. At the same time, due to design reasons, small wind turbines will also have a rated speed. At this rated speed, the output power of the wind turbine is at its maximum value, and the blade speed is related to the current wind speed. In theory, the greater the wind speed, the higher the blade speed, and in theory, the blade speed is positively correlated with the output power, that is, the higher the wind blade speed, the higher the output power of the generator. However, in practical applications, considering factors such as safety, design efficiency, and operation restrictions, it is necessary to keep the blade speed at the rated speed at all stages as much as possible, so as to improve power generation efficiency, reduce the risk of blade damage, and increase service life;

[0044] Therefore, it is very important to monitor the wind speed. The wind speed monitoring module not only needs to accurately capture the wind speed changes, but also needs to work with the control unit to adjust the operating state of the generator in time to adapt to the changes in wind speed. The wind speed monitoring device can be an anemometer or a wind speed sensor, which is not limited in this embodiment, and only needs to be able to accurately measure the current wind speed;

[0045] Data transmission module, which is responsible for the data transmission of the entire control system to ensure the real-time and accuracy of information, including the collected wind speed data, the output power of the generator and the working status of each component;

[0046] The data transmission module includes wired transmission devices, such as power lines, serial communication lines, CAN buses or optical fibers, etc. These wired transmission interfaces are connected to each module or hardware during transmission, and the same transmission protocol is used. In this embodiment, the transmission protocol can use the common TCP / IP protocol to ensure efficient and stable data transmission, which will not be described in detail in this embodiment and below.

[0047] A data analysis module, which is used to analyze various types of data received and generate an execution signal according to the analysis results. The execution signal includes adjusting the speed and blade orientation of the wind turbine to adjust the output power, while ensuring the stability and safety of the system when the wind speed changes;

[0048] An execution module is electrically connected to the data analysis module through a control signal line. After receiving the corresponding execution signal, the control unit of the small wind turbine is controlled by the execution module, wherein the control signal line adopts a digital signal line to transmit the switch state or non-continuous control command, and in this embodiment, the execution signal is a low-voltage control signal (such as 5V or 24V) to achieve precise regulation of the wind turbine.

[0049] It should be noted that the execution module and the data analysis module can also use wireless transmission of execution commands. Because the execution command signal is usually small, the wireless transmission method can reduce system complexity while ensuring stability, reduce the use of cables, and improve the overall system's anti-interference ability and flexibility.

[0050] like Figure 2 As shown, the present application also proposes an operating method of a small wind turbine control system, which is used to control the small wind turbine and can adjust the output power of the small wind turbine according to different wind speeds so that it can maintain the maximum power output at various wind speeds. Specifically, the operating method includes the following steps:

[0051] Step 10: The data analysis module receives the first wind speed data collected by the wind speed monitoring module and the operation data of the small wind turbine generator, and performs a preliminary analysis on the first wind speed data in combination with the operation data of the small wind turbine generator to determine the first wind speed interval and the second wind speed interval;

[0052] After the wind speed monitoring module collects the first wind speed data, the data analysis module receives the first wind speed data through the wired transmission device, and the operation data of the small wind turbine is also transmitted synchronously. By combining the first wind speed data with the operation data, the first wind speed data can be initially analyzed, and the first wind speed interval and the second wind speed interval can be determined. The method for determining the first wind speed interval and the second wind speed interval includes:

[0053] Step 101: Establish a linear conversion model between wind speed and blade speed, and obtain a speed power curve of a small wind turbine;

[0054] Since the data collected by the wind speed monitoring module is the current wind speed, and the speed power curve of the small wind turbine is not directly related to the wind speed, it is necessary to establish a linear conversion model between wind speed and blade speed, so as to obtain the wind speed power curve according to the speed power curve;

[0055] Among them, establishing a linear model of wind speed and blade rotation speed includes: establishing a linear model, and obtaining the wind speed and rotation speed at the same time respectively. Due to the existence of aerodynamic loss, friction loss, etc., the actual rotation speed is always less than the theoretical rotation speed at which the wind speed can drive the blade to rotate. After the wind speed and rotation speed at multiple times are input into the linear model, the corresponding linear conversion relationship will be automatically established. As the data continues to increase, the linear conversion relationship in the linear model will also be adjusted in real time. When any wind speed or rotation speed is input subsequently, the model will automatically output the corresponding rotation speed or wind speed;

[0056] The linear model may be a linear regression model, specifically a simple linear regression model, which describes the relationship between an independent variable and a dependent variable. For details, reference may be made to the prior art and will not be described in detail in this embodiment.

[0057] Step 102: converting the blade speed into wind speed according to a linear conversion model, and obtaining a wind speed power curve according to the speed power curve;

[0058] After the blade speed is converted into wind speed through a linear conversion model, the wind speed power curve can be obtained according to the speed power curve. Because the wind speed is variable, and there will be energy losses such as aerodynamic loss and mechanical loss between the wind speed and the blade speed, it is impossible to establish a direct relationship between the wind speed and the output power of the small generator, and thus it is impossible to adjust the output power of the small wind turbine according to the wind speed. In addition, the above method does not require the addition of an additional monitoring mechanism to monitor the blade speed, thereby reducing the equipment redundancy of the entire wind turbine.

[0059] Step 103: According to the wind speed power curve, a first wind speed interval and a second wind speed interval are obtained, wherein the left end point of the first wind speed interval is the wind speed corresponding to the cut-in speed of the blades, and the right end point is the wind speed when the output power of the small wind turbine generator reaches the maximum value, and the left end point of the second wind speed interval is the wind speed when the output power of the small wind turbine generator begins to decrease, and the right end point is the maximum wind speed at which the small wind turbine generator can operate safely;

[0060] After obtaining the wind speed power curve, the wind speed intervals can be divided according to the curve. The left endpoint of the first wind speed interval is fixed, which is the wind speed corresponding to the blade cut-in speed, and the right endpoint is the wind speed when the output power of the small wind turbine reaches the maximum value. The endpoint value of the first wind speed interval is related to the design parameters of the small wind turbine, such as Figure 3 It is a schematic diagram of the wind speed power curve, where V1 and V2 are the cut-in speed and the wind speed when the output power reaches the maximum value Pm, respectively; V3 is the wind speed when the output power of the small wind turbine generator starts to decrease; V4 is the maximum wind speed at which the small wind turbine generator can operate safely; and when the wind speed is V4, the output power of the small wind turbine generator is P4;

[0061] Correspondingly, after the wind speed reaches a certain value, the output power of the small wind turbine will enter a decline stage, because the wind turbine itself will also generate heat. When the wind speed is too high, the heat generated by the blade rotation speed cannot be dissipated in a short time, causing the temperature of the power generation unit to rise, thereby reducing the output power. Therefore, according to this situation, the second wind speed interval is divided, and its left endpoint is the wind speed corresponding to the output power starting to decline, and the right endpoint is the wind speed corresponding to the maximum rotation speed at which the small wind turbine can safely operate. The above wind speed intervals are all closed intervals;

[0062] Step 20: Analyze the received first wind speed data again, determine the wind speed interval range that the current wind speed falls into, and generate an execution signal sequence, which includes a holding signal and an adjustment signal;

[0063] After determining the first wind speed interval and the second wind speed interval, the received first wind speed data needs to be analyzed again to generate an execution signal sequence, wherein the analysis process is to determine whether the current wind speed falls into the first wind speed interval or the second wind speed interval. When it falls into the first wind speed interval, the generated execution signal is a holding signal, that is, the small wind turbine generator does not make adjustments, because in the first wind speed interval, the small wind turbine generator is already in normal power output; when it falls into the second wind speed interval, the generated execution signal is an adjustment signal. When the wind speed is in the second wind speed interval, the output power of the small wind turbine generator will begin to decrease. If no adjustment is made, its power generation efficiency will be affected. At the same time, the increase in blade speed caused by the wind speed will affect the service life of the generator and may even cause safety hazards.

[0064] Among them, the holding signal and the adjustment signal are both analog signals, because analog signals have the advantages of continuity, high resolution, real-time, etc., and are suitable for this embodiment. Specifically, the adjustment signal includes a frequency converter speed control signal, an inverter phase control signal, etc., to achieve the adjustment of the fan speed. In addition, the adjustment signal also includes a steering gear control signal, and the steering gear is used to control the angle of the blade to adapt to the change of wind speed and maintain the best working efficiency. This process can refer to the method of adjusting the blade angle according to parameters such as wind speed and wind direction in the prior art, and will not be described in detail in this embodiment;

[0065] Since the wind speed changes in seconds, the execution signal in the execution signal sequence has a storage period, which is consistent with the unit of wind speed change. As long as the wind speed changes, an execution signal will be generated to adjust the small wind turbine in real time to ensure that it always operates in the best condition.

[0066] Step 30: Establish a hysteresis feedback mechanism to dynamically match the data of the wind speed monitoring module with the data of the execution module;

[0067] Although the responsiveness of the execution module can be improved and the adjustment lag can be reduced by keeping the storage cycle in the execution signal sequence consistent with the wind speed change unit, the data collection, transmission, analysis and other processes will produce delays. Even if the units of these delays are in milliseconds, when the wind speed changes frequently, the accumulated delays may still affect the adjustment effect of the wind turbine. Therefore, it is necessary to establish a hysteresis feedback mechanism to calibrate the data of the wind speed monitoring module and the execution module in real time in a dynamic matching manner;

[0068] Specifically, establishing a hysteresis feedback mechanism and dynamically matching the data of the wind speed monitoring module with the data of the execution module further includes:

[0069] Step 301: dynamically collect and analyze the time difference between the wind speed monitoring module and the execution module, and adjust the storage period of the execution signal sequence;

[0070] There is a time difference between wind speed monitoring and the execution of the execution signal. By dynamically collecting this time difference, accurately analyzing and adjusting the storage period of the execution signal, the data between the wind speed monitoring and execution modules can be dynamically matched, thereby reducing the adjustment lag caused by the time difference. For example, if the time difference between a certain wind speed monitoring and the completion of the execution of the execution signal is 0.8 seconds, the storage period at this point can be reduced by 0.8 seconds in the execution signal sequence. At the same subsequent wind speed, the execution device will execute the received execution signal in advance, thereby dynamically shortening or extending the storage period and forming a more accurate adjustment strategy.

[0071] Step 302: Optimize the execution signal, introduce a prediction model, predict the possible wind speed change in the future based on the wind speed change trend, and adjust the execution signal in advance;

[0072] In addition to adjusting the storage period of the execution signal sequence, the execution signal can also be directly optimized by introducing a prediction model. By analyzing the wind speed change trend, the possible wind speed changes in the future can be predicted and the execution signal can be adjusted in advance, so that the wind turbine can respond in advance before the actual wind speed changes, further reducing the regulation lag. This predictive regulation strategy can not only improve the power generation efficiency, but also effectively reduce the energy loss caused by sudden changes in wind speed, and achieve more stable and reliable power generation performance.

[0073] Among them, the prediction model can adopt various existing time series analysis methods, such as autoregressive moving average model (ARIMA) or long short-term memory network (LSTM), and build a prediction model based on historical wind speed data, so as to effectively guide the early adjustment of the execution signal and enhance the foresight and adaptability of the system. The specific operation steps can refer to the existing technology and are not described in detail in this embodiment;

[0074] Step 303: calibrate the accuracy of the prediction model in real time through a feedback mechanism, and use actual wind speed data feedback to optimize the accuracy of the model prediction;

[0075] Since the performance of the prediction model depends on factors such as the amount of data and model performance, in order to minimize the error between the predicted wind speed and the actual wind speed, it is necessary to calibrate the prediction process in real time, continuously adjust the parameters of the prediction algorithm, and improve the generalization ability of the model so that it can cope with complex and changing meteorological conditions;

[0076] In addition, the prediction model can be periodically trained and optimized in combination with the long-term accumulated wind speed data to further improve the prediction accuracy and the system's adaptability, provide more precise adjustment strategies for wind turbines, and achieve efficient and stable energy output.

[0077] In addition to algorithm model predictions, local meteorological information can also be accessed and the prediction algorithm can be dynamically adjusted in combination with real-time data to ensure that the system can keep up with meteorological changes and improve the timeliness and accuracy of predictions. In this way, the response speed and regulation accuracy of wind turbines can be improved.

[0078] Step 40: Before the execution device executes the corresponding execution signal, the execution signal is verified to reduce the response deviation.

[0079] In order to ensure the accuracy of the execution signal, the output of the prediction model needs to be re-checked and carefully verified before execution. By comparing the matching degree between the predicted wind speed and the actual wind speed, the execution signal is adjusted in time to ensure that the response of the wind turbine is synchronized with the wind speed change, reduce the response deviation caused by the prediction error, and thus improve the control accuracy and power generation efficiency of the entire system;

[0080] Specifically, the output of the prediction model can be verified by using dynamic error analysis and feedback adjustment, combined with real-time meteorological data and historical wind speed information, to optimize the accuracy of the execution signal. For details, reference may be made to the methods of dynamic error analysis and feedback adjustment in the prior art, which will not be described in detail in this embodiment.

[0081] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A small wind turbine control system, characterized in that: The small wind turbine generator comprises a power generation unit, a control unit and a data exchange unit, wherein the power generation unit is used to convert wind energy into electrical energy, the control unit is used to realize the control function, and the data exchange unit is used to perform data exchange inside and outside the device; The small wind turbine control system includes a wind speed monitoring module, a data transmission module, a data analysis module, and an execution module. The wind speed monitoring module is used to monitor the real-time wind speed, the data transmission module is used to be responsible for the data transmission of the entire control system, the data analysis module is used to analyze the various types of data received, and the execution module is used to control the control unit of the small wind turbine.

2. A small wind turbine control system according to claim 1, characterized in that: The small wind turbine control system operates a small wind turbine control system operation method, the operation method comprising: The data analysis module receives the first wind speed data collected by the wind speed monitoring module and the operation data of the small wind turbine generator, and performs a preliminary analysis on the first wind speed data in combination with the operation data of the small wind turbine generator to determine a first wind speed interval and a second wind speed interval; Reanalyze the received first wind speed data, determine the wind speed interval range that the current wind speed falls into, and generate an execution signal sequence, the execution signal sequence including a holding signal and an adjustment signal; Establish a hysteresis feedback mechanism to dynamically match the data of the wind speed monitoring module with the data of the execution module; Before the execution device executes the corresponding execution signal, the execution signal is verified to reduce response deviation.

3. A small wind turbine control system according to claim 2, characterized in that: The method for determining the first wind speed interval and the second wind speed interval includes: Establish a linear conversion model between wind speed and blade speed, and obtain the speed power curve of a small wind turbine; The blade speed is converted into wind speed according to a linear conversion model, and a wind speed power curve is obtained according to the speed power curve; According to the wind speed power curve, the first wind speed interval and the second wind speed interval are obtained, wherein the left endpoint of the first wind speed interval is the wind speed corresponding to the cut-in speed of the blade, and the right endpoint is the wind speed when the output power of the small wind turbine reaches the maximum value; the left endpoint of the second wind speed interval is the wind speed when the output power of the small wind turbine begins to decrease, and the right endpoint is the maximum wind speed at which the small wind turbine can operate safely.

4. A small wind turbine control system according to claim 3, characterized in that: Establishing a linear model of wind speed and blade rotation speed includes: establishing a linear model, respectively obtaining the wind speed and rotation speed at the same time, establishing a corresponding linear conversion relationship, and outputting the corresponding rotation speed or wind speed.

5. A small wind turbine control system according to claim 4, characterized in that: The linear model is a linear regression model.

6. A small wind turbine control system according to claim 5, characterized in that: The holding signal and the adjustment signal are both analog signals, and the execution signal in the execution signal sequence has a storage period, which is consistent with the wind speed change unit.

7. A small wind turbine control system according to claim 6, characterized in that: Establishing a hysteresis feedback mechanism and dynamically matching the data of the wind speed monitoring module with the data of the execution module further includes: Dynamically collect and analyze the time difference between the wind speed monitoring module and the execution module, and adjust the storage period of the execution signal sequence; Optimize the execution signal, introduce a prediction model, and predict the possible wind speed changes in the future based on the wind speed change trend, so as to adjust the execution signal in advance; The accuracy of the prediction model is calibrated in real time through a feedback mechanism, and the accuracy of the model prediction is optimized by feedback of actual wind speed data.

8. A small wind turbine control system according to claim 7, characterized in that: The prediction model is an autoregressive moving average model or a long short-term memory network.

9. A small wind turbine control system according to claim 8, characterized in that: Integrate local meteorological information into the prediction model and dynamically adjust the prediction algorithm based on real-time data.

10. A small wind turbine control system according to claim 9, characterized in that: Dynamic error analysis and feedback adjustment are used to verify the output of the prediction model, and the accuracy of the execution signal is optimized by combining real-time meteorological data and historical wind speed information.

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