A small wind turbine and its control system

Abstract

The present application discloses a small wind turbine and its control system, belonging to the technical field of wind power generation. The small wind turbine includes a power generation unit, a control unit and a data interaction unit; the control system of the small wind turbine 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 responsible for the data transmission of the entire control system, the data analysis module is used to analyze various received data, and the execution module is used to control the control unit of the small wind turbine. During the implementation of the technical solution of the present application, by monitoring the wind speed, then analyzing the wind speed, and controlling the control unit of the small wind turbine through the execution module, it is realized that high-efficiency and stable power generation efficiency can be maintained at different wind speeds, and the risk of damage to the blades caused by the wind speed is reduced.

Description

Technical Field

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

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

[0003] Wind turbines are classified into small wind turbines and large wind turbines according to their scale. Among them, small wind turbines have the advantages of low cost, simple transportation and installation, and off-grid operation, and are commonly used in small-scale scenarios such as rural areas and families. Large wind turbines have the advantages of large scale, grid-connected operation, and low-speed power generation, and are commonly used in large-scale scenarios such as coastlines. When arranging wind turbines, it is usually necessary to reasonably select the type of wind turbine according to geographical location, power generation requirements, etc. With the increasing requirements for carbon emissions, the application scale of small wind turbines has gradually expanded and has gradually been applied in factories and cities in recent years to relieve the peak-hour power consumption pressure and reduce electricity costs.

[0004] However, in the application process of small wind turbines, there are still some problems. For example, due to the scale of small wind turbines, the blades cannot be designed too large, resulting in limited power generation efficiency of small wind turbines. At the same time, when the wind speed continuously increases beyond the design threshold of small wind turbines, the blades will be subjected to greater wind pressure and are prone to damage. Although it is possible to stop the operation by locking the blades, this will cause the power generation to pause and reduce the utilization of wind energy. And when the wind turbine stops, the blades are in a static state and will still be affected by the wind force. Under strong winds, the blades may be subjected to greater stress and cause bending damage. How to balance the influence of wind speed on the blades and improve the power generation efficiency has become an urgent problem to be solved for small wind turbines at present.

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

[0006] It should be noted that the above information disclosed in this background art section is only used to understand the background art of the concept of the present application, and therefore, it may include information that does not constitute the prior art. Summary of the Invention

[0007] Based on the above problems existing in the prior art, the problem to be solved by the present application is: to provide a small wind turbine and its control system, which can achieve efficient adaptation to wind speed fluctuations by optimizing the execution signal, so as to reduce the risk of blade damage while ensuring the power generation efficiency, and enhance the stability and reliability of the system.

[0008] The technical solution adopted by this application to solve its technical problems is as follows: A small wind turbine control system. The small wind turbine includes a power generation unit, a control unit, and a data interaction unit. The power generation unit is used to convert wind energy into electrical energy, the control unit is used to achieve control functions, and the data interaction unit is used to perform data interaction 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 data transmission of the entire control system. The data analysis module is used to analyze various received data. The execution module is used to control the control unit of the small wind turbine.

[0010] During the implementation of the technical solution of this application, by monitoring the wind speed, then analyzing the wind speed, and controlling the control unit of the small wind turbine through the execution module, it is possible to maintain a high-efficiency and stable power generation efficiency at different wind speeds and reduce the risk of damage to the blades caused by the wind speed.

[0011] Furthermore, the small wind turbine control system runs an operation method of a small wind turbine control system. This operation method includes:

[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, and initially analyzes the first wind speed data in combination with the operation data of the small wind turbine to determine the first wind speed interval and the second wind speed interval;

[0013] Analyze the received first wind speed data again, judge the wind speed interval range into which the current wind speed falls, and generate an execution signal sequence. This execution signal sequence includes a hold signal and an adjustment signal;

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

[0015] Before the execution device executes the corresponding execution signal, verify the execution signal 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 rotation speed, and obtain the rotation speed-power curve of the small wind turbine;

[0018] Convert the blade rotation speed to wind speed according to the linear conversion model, and obtain the wind speed-power curve according to the rotation speed-power curve;

[0019] According to the wind speed power curve, obtain the first wind speed interval and the second wind speed interval, where the left endpoint of the first wind speed interval is the wind speed corresponding to the cut-in speed of the blade, 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 starts to decline, and the right endpoint is the maximum wind speed at which the small wind turbine can operate safely.

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

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

[0022] Further, both the holding signal and the adjustment signal are analog signals, and the execution signals in the execution signal sequence have a storage period, which is consistent with the wind speed change unit.

[0023] Further, establishing a hysteresis feedback mechanism and dynamically matching the data of the wind speed monitoring module and 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, based on the wind speed change trend, predict the possible wind speed changes in the future for a period of time, and adjust the execution signal in advance;

[0026] Real-time calibrate the accuracy of the prediction model through the feedback mechanism, and optimize the accuracy of the model prediction with the actual wind speed data feedback.

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

[0028] Further, access the local meteorological information in the prediction model, and dynamically adjust the prediction algorithm in combination with the real-time data.

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

[0030] The beneficial effect of this application is: A small wind turbine and its control system provided by this application can achieve high-efficiency and stable power generation efficiency at different wind speeds and reduce the risk of damage to the blades by the wind speed by monitoring the wind speed, then analyzing the wind speed, and controlling the control unit of the small wind turbine through the execution module.

[0031] In addition to the purposes, features, and advantages described above, this application has other purposes, features, and advantages. The following will further describe this application in detail with reference to the figures. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The accompanying drawings forming a part of this application are used to provide a further understanding of this application. The schematic embodiments of this application and their descriptions are used to explain this application and do not constitute an improper limitation to this application.

[0033] In the drawings:

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

[0035] Figure 2 is a schematic diagram of the steps of an operating method of a control system of a small wind turbine in this application;

[0036] Figure 3 is a schematic diagram of a wind speed-power curve in this application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0037] It should be noted that, without conflict, the embodiments in this application and the features in the embodiments can be combined with each other. The following will describe this application in detail with reference to the drawings and in combination with the embodiments.

[0038] In order to enable those skilled in the art to better understand the solution of this application, the following will clearly and completely describe the technical solution in the embodiments of this application with reference to the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are only a part of the embodiments of this application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.

[0039] Embodiment 1: As Figure 1As shown, the present application provides a small wind turbine and its control system. The small wind turbine consists of a power generation unit, a control unit, and a data interaction unit. The power generation unit includes conventional wind turbine components such as a tower, a base, a generator, and blades, which are used to convert wind energy into electrical energy. For details, reference can be made to the prior art. The control unit is used to implement various control functions, such as adjusting the blade speed, blade orientation, and generator output power. The control unit can use devices such as relays, frequency converters, servo motors, steering servos, and inverters to achieve various control functions. The data interaction unit is used for internal and external data interaction of the device, such as the transmission of wind turbine operation data and the acquisition of device control instructions. There is a data interaction channel between the power generation unit, the control unit, and the data interaction unit. This channel can be a wired or wireless transmission channel, which is not limited in this embodiment. In actual applications, considering factors such as cost and transmission stability, a wired transmission channel is generally selected, such as a power line, a serial communication line, a CAN bus, an optical fiber, etc.;

[0040] The present application also proposes a control system for a small wind turbine. This control system is used to control the operation process of the small wind turbine, control and optimize the power generation efficiency, ensure stable electrical energy output even under variable wind speed conditions, and improve the anti-interference ability of the power output through reverse regulation of the wind turbine. At the same time, the system can also monitor the working status of each component of the wind turbine in real time, detect and prevent potential faults in a timely manner, and ensure the long-term stable operation of the wind power system;

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

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

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

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

[0045] Data transmission module, which is responsible for data transmission of the entire control system to ensure the timeliness and accuracy of information, including the collected wind speed data, the output power of the generator, and the working states of various components;

[0046] This data transmission module includes wired transmission devices, such as power lines, serial communication lines, CAN buses, or optical fibers, etc. These wired transmission devices connect the transmission interfaces of each module or hardware and use the same transmission protocol. In this embodiment, the transmission protocol can adopt the common TCP / IP protocol to ensure efficient and stable data transmission, which will not be elaborated further in this embodiment and the following text;

[0047] Data analysis module, which is used to analyze various received data and generate execution signals according to the analysis results. These execution signals include adjusting the rotation speed of the wind turbine, the blade orientation, etc. to adjust the output power, and at the same time ensuring the stability and safety of the system when the wind speed changes;

[0048] An execution module, which 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 through the execution module. Among them, the control signal line adopts a digital signal line to transmit the switch state or discontinuous control commands. 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 transmit the execution command in a wireless manner. Since the execution command signal is usually small, the wireless transmission method can reduce the system complexity and the use of cables while ensuring stability, and improve the anti-interference ability and flexibility of the overall system.

[0050] As Figure 2 shown, this application also proposes an operation method for a small wind turbine control system. This method 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 generation output under various wind speeds. Specifically, the operation method includes the following steps:

[0051] Step 10: The data analysis module receives the first wind speed data collected from the wind speed monitoring module and the operation data of the small wind turbine, and initially analyzes the first wind speed data in combination with the operation data of the small wind turbine 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 will receive the first wind speed data through a wired transmission device. At the same time, the operation data of the small wind turbine will also be 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. Among them, the methods for determining the first wind speed interval and the second wind speed interval include:

[0053] Step 101: Establish a linear conversion model between wind speed and blade speed, and obtain the speed-power curve of the 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 respectively obtaining the wind speed and rotation speed at the same moment. Due to aerodynamic losses, friction losses, 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 inputting the wind speed and rotation speed at multiple moments into the linear model, a 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] This linear model can be a linear regression model, specifically a simple linear regression model, which describes the relationship between one independent variable and one dependent variable. For details, reference can be made to the prior art and will not be elaborated in this embodiment;

[0057] Step 102: Convert the blade rotation speed into wind speed according to the linear conversion model, and obtain the wind speed-power curve according to the rotation speed-power curve;

[0058] After converting the blade rotation speed into wind speed through the linear conversion model, the wind speed-power curve can be obtained according to the rotation speed-power curve. Because the wind speed is variable, and there will be energy losses such as aerodynamic losses and mechanical losses between the wind speed and the blade rotation 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. Moreover, the above method does not require adding an additional monitoring mechanism to monitor the rotation speed of the blade, reducing the equipment redundancy of the entire wind turbine;

[0059] Step 103: According to the wind speed-power curve, obtain the first wind speed interval and the second wind speed interval, where the left endpoint of the first wind speed interval is the wind speed corresponding to the cut-in speed of the blade, 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 starts to decline, and the right endpoint is the maximum wind speed at which the small wind turbine can operate safely;

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

[0061] Correspondingly, after the wind speed reaches a certain value, the output power of the small wind turbine will enter a declining stage. Since the wind turbine itself also generates heat, when the wind speed is too high, the heat generated by the blade rotation cannot be dissipated in time in a short period, resulting in an increase in the temperature of the power generation unit and thus a decrease in the output power. Therefore, according to this situation, a second wind speed interval is defined. Its left endpoint is the wind speed corresponding to the start of the output power decline, and its right endpoint is the wind speed corresponding to the maximum rotational speed at which the small wind turbine can operate safely. 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 into which the current wind speed falls, and generate an execution signal sequence. The execution signal sequence includes a hold signal and an adjustment signal;

[0063] After determining the first wind speed interval and the second wind speed interval, it is necessary to analyze the received first wind speed data again to generate an execution signal sequence. 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 hold signal, that is, the small wind turbine does not make adjustments because in the first wind speed interval, the small wind turbine 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 will start to decline. If no adjustment is made, it will affect its power generation efficiency. At the same time, the increase in the blade rotation speed brought about by the wind speed will affect the service life of the generator and may even cause potential safety hazards;

[0064] Among them, both the hold signal and the adjustment signal are analog signals. Because analog signals have advantages such as continuity, high resolution, and real-time performance, they 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 rotation speed. In addition, the adjustment signal also includes a control signal for the servo motor. The servo motor is used to control the angle of the blade to adapt to the wind speed change 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 change in wind speed is at the second level, the execution signals in the execution signal sequence have a storage period. This storage period is consistent with the wind speed change unit. 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 state.

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

[0067] Although aligning the storage period in the execution signal sequence with the unit of wind speed change can improve the responsiveness of the execution module and reduce adjustment lag, delays will occur in processes such as data acquisition, transmission, and analysis. Even if the unit of these delays is in milliseconds, they may still affect the adjustment effect of the wind turbine when the wind speed changes frequently. Therefore, it is necessary to establish a lag feedback mechanism to dynamically match and calibrate the data of the wind speed monitoring module and the execution module in real time;

[0068] Specifically, establishing a lag feedback mechanism and dynamically matching the data of the wind speed monitoring module and 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 when the wind speed is monitored and when the execution signal is executed. By dynamically collecting this time difference, accurately analyzing it, and adjusting the storage period of the execution signal, the data between the wind speed monitoring and the execution module can be dynamically matched, thereby reducing the adjustment lag caused by the time difference. For example, if the time difference from a certain wind speed monitoring to the execution of the execution signal is 0.8 seconds, then in the execution signal sequence, the storage period at this point can be reduced by 0.8 seconds. When the same wind speed occurs subsequently, the execution device will execute the received execution signal in advance, thereby dynamically shortening or lengthening the storage period to form a more accurate adjustment strategy;

[0071] Step 302: Optimize the execution signal, introduce a prediction model, and based on the wind speed change trend, predict the possible wind speed changes in the next period of time 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, through the analysis of the wind speed change trend, predicting the possible wind speed changes in the next period of time, and adjusting the execution signal in advance, the wind turbine can respond in advance before the actual wind speed changes, further reducing the adjustment lag; this predictive adjustment strategy can not only improve the power generation efficiency but also effectively reduce the energy loss caused by sudden wind speed changes, achieving a more stable and reliable power generation performance;

[0073] Among them, the prediction model can adopt various existing time series analysis methods, such as the autoregressive integrated moving average model (ARIMA) or the long short-term memory network (LSTM). Based on historical wind speed data, a prediction model is constructed to effectively guide the advance adjustment of the execution signal, enhancing the forward-looking and adaptability of the system. The specific operation steps can refer to the existing technology and will not be elaborated in detail in this embodiment;

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

[0076] In addition, the prediction model can also be periodically trained and optimized by combining the long-term accumulated wind speed data, further improving the prediction accuracy and the adaptive ability of the system, providing a more accurate adjustment strategy for the wind turbine, and realizing efficient and stable energy output;

[0077] In addition to the algorithm model prediction, 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, improve the timeliness and accuracy of the prediction, and in this way, improve the response speed and adjustment accuracy of the wind turbine.

[0078] Step 40: Verify the execution signal before the execution device executes the corresponding execution signal to reduce the response deviation.

[0079] In order to ensure the accuracy of the execution signal, it is also necessary to re-verify the output of the prediction model, conduct a detailed verification before execution, adjust the execution signal in time by comparing the matching degree between the predicted wind speed and the actual wind speed, 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 verification of the output of the prediction model can adopt dynamic error analysis and feedback regulation, combine real-time meteorological data and historical wind speed information to optimize the accuracy of the execution signal. For the specific method of dynamic error analysis and feedback regulation, reference can be made to the existing technology, and it will not be elaborated in detail in this embodiment.

[0081] The above are only the preferred embodiments of the present application and are not used to limit the present application. For those skilled in the art, various changes and modifications can be made to the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included within the protection scope of the present application.

Claims

1. A small wind turbine control system, characterized in that: The small wind turbine includes a power generation unit, a control unit, and a data interaction unit. The power generation unit is used to convert wind energy into electrical energy. The control unit is used to implement control functions. The data interaction unit is used to conduct data interaction inside and outside the device; The control system of the small wind turbine 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 data transmission of the entire control system. The data analysis module is used to analyze various received data. The execution module is used to control the control unit of the small wind turbine; The control system of the small wind turbine runs an operation method of the control system of the small wind turbine. This operation method includes: 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, and initially analyzes the first wind speed data in combination with the operation data of the small wind turbine to determine the first wind speed interval and the second wind speed interval; Analyze the received first wind speed data again, judge the wind speed interval range where the current wind speed falls, and generate an execution signal sequence. This execution signal sequence includes a hold signal and an adjustment signal; Establish a hysteresis feedback mechanism to dynamically match the data between the wind speed monitoring module and the execution module; Before the execution device executes the corresponding execution signal, verify the execution signal to reduce the response deviation; 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 rotation speed, and obtain the rotation speed-power curve of the small wind turbine; Convert the blade rotation speed into wind speed according to the linear conversion model, and obtain the wind speed-power curve according to the rotation speed-power curve, avoiding the inability to establish a direct relationship between wind speed and the output power of the small generator due to the variable wind speed and the energy loss between wind speed and blade rotation speed, and thus unable to adjust the output power of the small wind turbine according to the wind speed; According to the wind speed-power curve, obtain the first wind speed interval and the second wind speed interval. 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 starts to decline, and the right endpoint is the maximum wind speed at which the small wind turbine can operate safely.

2. The control system of a small wind turbine according to claim 1, wherein: Establishing a linear model between wind speed and blade rotation speed includes: establishing a linear model, respectively obtaining the wind speed and rotation speed at the same moment, establishing the corresponding linear conversion relationship, and outputting the corresponding rotation speed or wind speed.

3. The control system of a small wind turbine according to claim 2, characterized in that: The linear model is a linear regression model.

4. The small wind turbine control system according to claim 3, wherein: Both the hold signal and the adjustment signal are analog signals. The execution signals in the execution signal sequence have a storage period, and this storage period is consistent with the wind speed change unit.

5. A small wind turbine control system according to claim 4, characterized in that: Establishing a hysteresis feedback mechanism and dynamically matching the data between the wind speed monitoring module and 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, based on the wind speed change trend, predict the possible wind speed changes in the future for a period of time, and adjust the execution signal in advance; Real-time calibrate the accuracy of the prediction model through a feedback mechanism, and use the actual wind speed data to feedback and optimize the accuracy of the model prediction.

6. The control system of a small wind turbine according to claim 5, characterized in that: The prediction model is an autoregressive moving average model or a long short-term memory network.

7. A small wind turbine control system according to claim 6, characterized in that: Connect the local meteorological information to the prediction model and dynamically adjust the prediction algorithm in combination with real-time data.

8. The control system of a small wind turbine according to claim 7, characterized in that: Verify the output of the prediction model by using dynamic error analysis and feedback regulation, and optimize the accuracy of the execution signal by combining real-time meteorological data and historical wind speed information.

Images