Dynamic wind speed self-adaption-based fan starting optimization control method and system

Abstract

The invention discloses a fan starting optimization control method based on dynamic wind speed self-adaption. The fan starting optimization control method comprises the steps that real-time meteorological information around a fan is acquired; according to the real-time weather information, whether a fan starting condition is met or not is judged; the angle of a variable pitch system is dynamically adjusted, the windward effect of a wind wheel is optimized, and meanwhile the rotating speed gain is adjusted according to the change condition of the wind speed; the working state of the frequency converter is controlled, and the rotating speed of the generator is increased until the fan achieves grid-connected power generation; and when the wind speed exceeds a set threshold value or the equipment is abnormal, a corresponding braking program is executed. Through dynamic monitoring of meteorological information and self-adaptive control, the starting efficiency and reliability of the fan are remarkably improved, mechanical stress and energy loss are reduced, the safety of the system under extreme conditions is enhanced, and the intelligent fault response capability is achieved. Through the innovations, the operation efficiency, the safety and the overall intelligent level of the fan are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of wind power generation, and in particular to a method and system for optimizing wind turbine startup based on dynamic wind speed self-adaptation. Background Art

[0002] As global energy demand continues to grow, wind power generation, as a clean and renewable form of energy, has been widely used around the world. The development of wind power generation technology has gone through decades of accumulation and progress. From the early fixed-pitch, single-operation-mode wind turbines to today's intelligent wind turbines based on complex control strategies, the efficiency and reliability of wind power generation have been significantly improved. In traditional wind power generation systems, the start and shutdown of wind turbines are usually controlled by fixed wind speed thresholds. This method often performs poorly in environments with large wind speed fluctuations, resulting in frequent start and shutdown of wind turbines, thereby increasing the mechanical stress and maintenance costs of the equipment. In addition, when faced with complex wind speed changes, traditional wind turbine control systems lack adaptive adjustment capabilities and cannot effectively respond to real-time changes in wind direction and wind speed, affecting the efficiency of wind energy utilization.

[0003] At present, many wind power generation systems use advanced control strategies such as variable pitch control and variable frequency control to improve the starting performance and operating efficiency of wind turbines. However, these systems still have some shortcomings, such as insufficient real-time response to wind speed and wind direction, inaccurate judgment of starting conditions, and high energy loss during startup and shutdown. In addition, the safety protection mechanism of the existing system under abnormal equipment conditions is not perfect, resulting in irreversible damage to the wind turbine in extreme wind speeds or equipment failures. Therefore, how to design a more intelligent and flexible wind turbine startup optimization control method that can respond to wind speed changes has become an urgent problem to be solved in the field of wind power generation technology. Summary of the invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the technical problem solved by the present invention is: how to optimize the starting process of the fan through dynamic wind speed adaptive control, so as to improve the starting efficiency and safety of the fan.

[0006] The startup and shutdown of traditional wind turbines are limited by fixed wind speed thresholds, resulting in frequent startup and shutdown, which increases the mechanical stress of the equipment. The present invention makes the startup of wind turbines more flexible through dynamic wind speed adaptive control and real-time meteorological information collection module, thereby reducing unnecessary startup and shutdown and improving the overall power generation efficiency.

[0007] The traditional system wastes energy due to the lack of precise control strategy during startup and shutdown. The present invention uses the variable pitch angle adjustment and speed gain module to dynamically adjust the speed and windward angle according to the real-time wind speed change trend, optimize energy utilization, and reduce energy loss.

[0008] Existing fan systems lack a complete safety protection mechanism in extreme wind speeds or equipment abnormalities, which can easily cause irreversible damage to the equipment. The present invention can effectively respond to extreme wind speeds or equipment abnormalities through a multi-level braking process (including a combination of motor braking and mechanical braking) of the braking and safety protection modules, ensuring the safe shutdown of the fan and avoiding equipment damage.

[0009] In order to solve the above technical problems, the present invention provides the following technical solutions: a wind turbine startup optimization control method based on dynamic wind speed adaptation, comprising: obtaining real-time meteorological information around the wind turbine;

[0010] According to the real-time meteorological information, determining whether the fan start-up conditions are met;

[0011] Dynamically adjust the angle of the variable pitch system to optimize the windward effect of the wind rotor, and adjust the speed gain according to the changes in wind speed;

[0012] Control the working state of the inverter and increase the speed of the generator until the wind turbine is connected to the grid for power generation;

[0013] When the wind speed exceeds the set threshold or the equipment is abnormal, the corresponding braking procedure is executed.

[0014] As a preferred solution of the fan startup optimization control method based on dynamic wind speed adaptation described in the present invention, the real-time meteorological information includes wind speed, wind direction, temperature and humidity data.

[0015] As a preferred solution of the fan startup optimization control method based on dynamic wind speed self-adaptation described in the present invention, wherein: the determination of whether the fan startup condition is met includes determining whether the wind speed is within a preset startup threshold range, and if the wind speed is greater than or equal to the startup threshold and less than the upper limit of the safe operation wind speed, then it is determined that the startup condition is met;

[0016] Determine whether the wind direction is consistent with the windward direction of the wind rotor. If the wind direction deviation is within the allowable range, the start condition is met;

[0017] When the temperature and humidity are within the set operating range, the environmental conditions are judged to be suitable for startup;

[0018] If all the above conditions are met, the fan is started, and the pitch system and inverter are controlled to gradually increase the speed until stable operation is achieved;

[0019] If any of the conditions are not met, the fan remains in standby mode and the start-up conditions are re-evaluated periodically.

[0020] As a preferred solution of the wind turbine startup optimization control method based on dynamic wind speed adaptation described in the present invention, the dynamic adjustment of the angle of the variable pitch system includes calculating the optimal windward angle using a fluid dynamics model based on real-time wind speed data collected by a wind speed sensor, so that the wind rotor can capture wind energy to the maximum extent;

[0021] The angle of the variable pitch system is adjusted in real time by the servo motor, so that the wind rotor always maintains the best angle with the wind direction. The control signal of the servo motor is input into the controller by the real-time data of wind speed and wind direction, and the controller calculates and outputs the adjustment command according to the best windward angle;

[0022] When the wind speed changes greatly, the controller optimizes the adjustment rate of the pitch system to ensure that the change in pitch angle is synchronized with the change in wind speed.

[0023] As a preferred solution of the wind turbine startup optimization control method based on dynamic wind speed self-adaptation described in the present invention, wherein: the adjusting the speed gain according to the change of wind speed includes dynamically adjusting the speed gain of the generator by using a PID controller according to the change trend of the wind speed, and when the wind speed increases, by increasing the gain parameter, the speed response capability of the generator is improved so as to quickly adapt to the new wind speed condition; when the wind speed decreases, the gain parameter is reduced to reduce mechanical stress and energy loss;

[0024] In a specific wind speed range, historical wind speed data and machine learning algorithms are combined to predict the wind speed change trend in the short term in the future and optimize the speed gain in advance.

[0025] As a preferred solution of the wind turbine startup optimization control method based on dynamic wind speed adaptation described in the present invention, wherein: the control of the working state of the frequency converter includes starting the frequency converter to gradually increase the speed of the generator in a low-speed mode to ensure that the speed of the generator is synchronized with the change of the wind speed;

[0026] When the preset speed threshold is reached, the inverter is switched to high-efficiency working mode to increase the speed of the generator to synchronize with the grid frequency;

[0027] During the entire lifting process, the vibration signal and temperature changes of the generator are monitored to adjust the output power of the inverter in real time to ensure the smooth operation of the generator;

[0028] When the generator speed is synchronized with the grid frequency and the vibration and temperature parameters are within the allowable range, the control system triggers the grid-connected switch to connect the wind turbine to the grid and realize grid-connected power generation.

[0029] As a preferred solution of the wind turbine startup optimization control method based on dynamic wind speed self-adaptation described in the present invention, wherein: the execution of the corresponding braking procedure includes monitoring the wind speed and the operating status of key components of the wind turbine, and judging in real time whether the wind speed exceeds the set safety threshold or whether the equipment is abnormal;

[0030] If the wind speed exceeds the set threshold or the equipment is abnormal, the emergency brake program is immediately triggered to quickly reduce the speed of the wind rotor to a safe range to prevent equipment damage;

[0031] The combination of motor braking and mechanical braking is used to achieve a multi-level braking process to ensure that the fan can be shut down safely and reliably;

[0032] While braking, an alarm signal is sent to the control center through the communication module to inform the equipment of abnormal conditions and record relevant data for subsequent analysis;

[0033] When the wind speed returns to a safe range or the fault is eliminated, the system enters standby mode and prepares for the next startup operation.

[0034] A wind turbine startup optimization control system based on dynamic wind speed self-adaptation, characterized in that:

[0035] Meteorological information collection module: obtain real-time meteorological information around the wind turbine;

[0036] Start-up condition judgment module: judging whether the fan start-up condition is met according to the real-time meteorological information;

[0037] Pitch angle adjustment module: dynamically adjusts the angle of the pitch system to optimize the windward effect of the wind rotor, and adjusts the speed gain according to the change of wind speed;

[0038] Inverter control module: controls the working state of the inverter and increases the speed of the generator until the wind turbine is connected to the grid for power generation;

[0039] Braking and safety protection module: When the wind speed exceeds the set threshold or the equipment is abnormal, the corresponding braking procedure is executed.

[0040] Beneficial effects of the invention: The invention effectively improves the starting efficiency of the wind turbine by real-time monitoring of meteorological data such as wind speed, wind direction, temperature, etc., and combines dynamic adjustment of the pitch angle and speed gain, avoids frequent starting and shutdown caused by wind speed fluctuations, and thus improves the operating reliability of the equipment.

[0041] Through adaptive startup condition judgment and inverter control strategy, the present invention can optimize energy utilization during startup and shutdown, reduce unnecessary mechanical stress and energy loss, thereby extending the service life of the equipment and improving the utilization efficiency of wind energy.

[0042] The present invention introduces a multi-level braking protection mechanism, including a combination of motor braking and mechanical braking, to ensure rapid and safe shutdown in extreme wind speeds or equipment abnormalities. This multi-level protection mechanism improves the safety of the system under various complex working conditions and avoids irreversible damage to the equipment.

[0043] The present invention sends an alarm signal to the control center through a communication module and records relevant data, and has intelligent fault response and analysis capabilities. This not only helps to take quick measures when a fault occurs, but also provides a basis for subsequent system optimization and maintenance through data analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the figures required for use in the description of the embodiments will be briefly introduced below. Obviously, the figures described below are only some embodiments of the present invention. For ordinary technicians in this field, other figures can be obtained based on these figures without paying creative work.

[0045] Figure 1 A flow chart of a fan startup optimization control method based on dynamic wind speed adaptation provided in the first embodiment of the present invention. DETAILED DESCRIPTION

[0046] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the specification drawings. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0047] Example 1, reference Figure 1 , is an embodiment of the present invention, and provides a fan startup optimization control method based on dynamic wind speed adaptation, comprising:

[0048] This patent mainly designs an electronic secondary switch element working voltage test bench, which includes a control unit, a programmable power supply, and a status acquisition unit.

[0049] The secondary switch element working voltage test system includes a main control unit, a programmable power supply and a measured element. The main control unit and the programmable power supply are connected by a 485 communication line to control the output of the programmable power supply; the programmable power supply and the coil of the measured element are connected by a power wire, and the programmable power supply is responsible for supplying power to the measured element; the main control unit and the switch node of the measured element are connected by a measuring wire, and the main control unit can measure the switching state of the measured element.

[0050] S1: Obtain real-time meteorological information around the wind turbine.

[0051] Real-time weather information includes wind speed, wind direction, temperature and humidity data.

[0052] It should be noted that "wind speed" refers to the speed of wind flow, which is one of the important parameters affecting the start-up of the fan. Real-time monitoring of wind speed can ensure that the fan can be started within the appropriate wind speed range, avoiding energy waste caused by blind starting when the wind speed is insufficient, and avoiding damage to the equipment caused by starting at too high a wind speed. Therefore, by accurately monitoring the wind speed, the energy utilization rate and equipment life of the fan during startup are effectively guaranteed.

[0053] "Wind direction" refers to the direction from which the wind blows, which has a direct impact on the windward angle of the wind rotor. Obtaining wind direction information can ensure that the wind rotor can adjust the pitch angle in time, thereby maintaining the best windward state and improving the efficiency of capturing wind energy. This is a common application in the prior art, but in the present invention, by combining real-time wind direction data with an adaptive adjustment mechanism, the wind turbine can maintain efficient operation even when the wind speed and wind direction change greatly, thereby effectively improving the adaptability of the wind turbine.

[0054] "Temperature" and "humidity" are two environmental factors that are rarely used for startup judgment in traditional fan control. However, in the present invention, real-time acquisition of temperature and humidity data helps to determine whether the fan is started under suitable environmental conditions. For example, too low a temperature may increase the viscosity of the lubricating oil and affect the normal startup of the equipment; while too high a humidity may cause risks such as short circuits in electronic equipment. Therefore, through comprehensive judgment of temperature and humidity, equipment startup failures or damage caused by adverse environmental conditions can be effectively avoided.

[0055] S2: judging whether the fan start-up conditions are met according to the real-time meteorological information.

[0056] Determine whether the wind speed is within the preset start threshold range. If the wind speed is greater than or equal to the start threshold and less than the upper limit of safe operating wind speed, the start condition is determined to be met.

[0057] Determine whether the wind direction is consistent with the windward direction of the wind wheel. If the wind direction deviation is within the allowable range, the start-up conditions are met.

[0058] When the temperature and humidity are within the set operating range, the environmental conditions are judged to be suitable for startup.

[0059] If all the above conditions are met, the fan is started, and the pitch system and inverter are controlled to gradually increase the speed until stable operation is achieved.

[0060] If any of the conditions are not met, the fan remains in standby mode and the start-up conditions are re-evaluated periodically.

[0061] It should be noted that the preset start-up threshold of wind speed and the upper limit of safe operating wind speed are one of the core elements of wind turbine start-up judgment. In the present invention, the start-up threshold of wind speed is based on the design characteristics of the wind turbine, historical wind speed data statistics and experimental results. The preset start-up threshold is to ensure that there is sufficient wind energy when the wind turbine starts, so as to effectively utilize wind resources; and the upper limit of safe operating wind speed is to prevent damage to the equipment due to excessive wind speed. Compared with the traditional fixed wind speed judgment, the present invention provides a flexible wind speed judgment mechanism, which can dynamically adjust the wind speed threshold according to changes in environmental conditions to ensure the operational reliability and efficiency of the wind turbine. This design idea solves the problem of start-up failure or equipment damage caused by inaccurate wind speed judgment during the start-up process of existing fans, making the fan more adaptable and robust in complex environments.

[0062] Wind direction judgment is another important parameter of the starting condition. In the present invention, the allowable range of wind direction deviation is to ensure that the wind rotor is always in the best windward state to maximize the efficiency of capturing wind energy. The deviation range is usually set between 5° and 15°, which is based on the balance between the characteristics of the wind rotor and the efficiency of wind energy utilization. Too large a deviation will cause the wind rotor to be unable to effectively capture wind energy, while overly strict deviation requirements may increase the difficulty of starting the wind turbine. Therefore, the present invention realizes a dynamic match between the wind rotor and the wind direction by reasonably setting the wind direction deviation range, which not only ensures the efficiency of wind energy utilization, but also ensures the stable starting of the wind turbine. The beneficial effect of this strategy is that it improves the power output and wind energy utilization efficiency after the wind turbine is started, which has a significant efficiency improvement compared to the start-up judgment that ignores wind direction in the prior art.

[0063] Furthermore, when all conditions are met, the present invention proposes a strategy for controlling the variable pitch system and the frequency converter to gradually increase the rotation speed. The beneficial effects of this step are mainly reflected in the smoothness of the startup process and the protection of the equipment. Gradually increasing the rotation speed can effectively reduce the mechanical impact during startup and reduce the wear rate of the equipment. At the same time, the application of the PID controller can ensure closed-loop control during the startup process, so that the wind wheel can be gradually accelerated until it reaches a stable operating state. This design solves the problem of equipment damage and startup failure caused by excessive acceleration during the startup process of the wind turbine in the prior art, making the startup of the wind turbine smoother and more reliable.

[0064] Furthermore, when any condition is not met, the fan will remain in standby mode and re-evaluate the start-up conditions at regular intervals. This design concept of the present invention can not only avoid blind startup under unsuitable conditions, but also dynamically adjust the startup decision according to changes in environmental conditions. For example, when the wind speed fluctuates frequently, the system will increase the evaluation frequency to improve the flexibility and timeliness of the startup response. This dynamic adjustment capability is lacking in existing fan systems, and significantly improves the adaptability and overall efficiency of the fan in complex environments.

[0065] S3: Dynamically adjust the angle of the variable pitch system to optimize the windward effect of the wind rotor, and adjust the speed gain according to the changes in wind speed.

[0066] Based on the real-time wind speed data collected by the wind speed sensor, the fluid dynamics model is used to calculate the optimal windward angle so that the wind wheel can capture wind energy to the maximum extent.

[0067] The angle of the variable pitch system is adjusted in real time by the servo motor so that the wind rotor always maintains the optimal angle with the wind direction. The control signal of the servo motor is input into the controller by real-time data of wind speed and wind direction, and the controller calculates and outputs adjustment commands based on the optimal windward angle.

[0068] When the wind speed changes greatly, the controller optimizes the adjustment rate of the pitch system to ensure that the change in pitch angle is synchronized with the change in wind speed.

[0069] According to the changing trend of wind speed, the PID controller is used to dynamically adjust the speed gain of the generator. When the wind speed increases, the speed response capability of the generator is improved by increasing the gain parameter so that it can quickly adapt to the new wind speed conditions; when the wind speed decreases, the gain parameter is reduced to reduce mechanical stress and energy loss.

[0070] In a specific wind speed range, historical wind speed data and machine learning algorithms are combined to predict the wind speed change trend in the short term in the future and optimize the speed gain in advance.

[0071] It should be noted that the angle adjustment of the variable pitch system is to ensure that the wind rotor can always capture wind energy to the maximum extent. In the present invention, the optimal windward angle is calculated using a fluid dynamics model using real-time wind speed data collected by a wind speed sensor. The basis of this strategy is that the fluid dynamics model can accurately predict the optimal windward angle of the wind rotor under different wind speed conditions to maximize the utilization of wind energy. Compared with the fixed windward angle commonly used in the prior art, the angle calculation based on real-time wind speed data is more flexible and accurate, allowing the wind rotor to adaptively adjust the windward state, thereby improving the efficiency of wind energy capture.

[0072] Furthermore, the real-time adjustment of the servo motor is the actuator that enables the wind wheel to maintain the optimal windward state. The control signal of the servo motor is input into the controller by wind speed and wind direction data, and the adjustment command is calculated and output by the controller. Here, the real-time adjustment of the servo motor enables the wind wheel to respond quickly to changes in wind direction, which is particularly important in an environment where the wind speed fluctuates frequently. By ensuring that the wind wheel always maintains an optimal angle with the wind direction, the present invention achieves efficient capture of wind energy and reduces energy loss caused by wind direction deviation. The servo motor may be more common in other applications, but in the present invention, it is used as a key component in combination with real-time wind speed data to significantly improve the adaptability and wind energy utilization of the wind turbine system in a dynamic environment.

[0073] When the wind speed changes greatly, the present invention optimizes the adjustment rate of the variable pitch system through the controller to ensure that the change of the variable pitch angle is synchronized with the change of wind speed. This synchronous adjustment method can effectively avoid the decrease in efficiency caused by the delayed response of the wind wheel due to the sudden change of wind speed. Compared with the fixed rate adjustment of the variable pitch angle in the prior art, the rate optimization strategy based on wind speed change proposed in the present invention enables the wind turbine system to maintain stable energy output when the wind speed changes drastically, reducing the mechanical stress and efficiency loss caused by the sudden change of wind speed.

[0074] It should be noted that the definition of "when the wind speed changes greatly" needs to be further clarified. In the present invention, "wind speed changes greatly" can be specifically defined as the rate of change of wind speed per unit time exceeds a preset threshold. The setting of this threshold is based on the dynamic response capability and mechanical safety of the wind turbine, ensuring that the wind turbine can adjust the pitch angle in time when facing drastic changes in wind speed, avoiding increased mechanical stress and reduced energy utilization efficiency due to response lag. Through this specific quantitative standard, the system's ability to cope with complex wind conditions can be effectively improved, and the efficient operation and safety of the wind turbine can be guaranteed.

[0075] The application of PID controller is crucial for dynamically adjusting the speed gain of the generator. The PID controller can perform closed-loop regulation according to the real-time changes in wind speed. When the wind speed increases, the speed gain parameter is increased to improve the response speed of the generator to ensure that the fan quickly adapts to the new wind speed conditions; when the wind speed decreases, the speed gain is reduced to reduce mechanical stress and energy loss. Compared with the traditional fixed gain strategy, this dynamic gain adjustment based on wind speed changes can better adapt to different wind speed conditions, thereby improving the response performance and energy utilization efficiency of the generator. In addition, by introducing the PID controller, the present invention achieves precise control of the fan speed and reduces the load impact on the equipment caused by wind speed fluctuations.

[0076] Combining historical wind speed data and the prediction function of the machine learning algorithm, the speed gain adjustment of the system within a specific wind speed range is further optimized. The present invention proposes to use a machine learning algorithm (such as a support vector machine or LSTM) to predict the wind speed change trend in a short period of time in the future within a specific wind speed range. Through accurate prediction of future wind speeds, the system can optimize the speed gain in advance so that the wind turbine is ready to respond before the wind speed fluctuates. This forward-looking adjustment design not only improves the response speed of the system, but also reduces the system impact and energy waste caused by wind speed changes. Compared with the passive response strategy in the prior art, the present invention combines historical data and machine learning for active prediction and adjustment, making the wind turbine system more intelligent and precise, and improving the efficiency and reliability of wind energy utilization.

[0077] S4: Control the working state of the inverter and increase the speed of the generator until the wind turbine is connected to the grid for power generation.

[0078] Start the inverter to gradually increase the speed of the generator in low speed mode to ensure that the generator speed is synchronized with the changes in wind speed.

[0079] When the preset speed threshold is reached, the inverter is switched to high-efficiency working mode to increase the speed of the generator to synchronize with the grid frequency.

[0080] During the entire lifting process, the vibration signal and temperature changes of the generator are monitored and the output power of the inverter is adjusted in real time to ensure the smooth operation of the generator.

[0081] When the generator speed is synchronized with the grid frequency and the vibration and temperature parameters are within the allowable range, the control system triggers the grid-connected switch to connect the wind turbine to the grid and realize grid-connected power generation.

[0082] It should be noted that at the initial stage of wind turbine startup, the generator speed needs to be gradually increased to avoid sudden acceleration causing impact on mechanical components. During this process, the inverter is set to low-speed mode to ensure that the generator speed is synchronized with the change in wind speed. This strategy can effectively reduce the mechanical stress and wear caused by excessive acceleration and extend the service life of the equipment. At the same time, gradual acceleration can also ensure that the wind turbine can adapt to the wind conditions more fully at the low-speed stage, avoiding instability caused by wind speed changes during startup.

[0083] When the generator speed reaches the preset threshold, the inverter will switch to the high-efficiency working mode, further increasing the generator speed until it is synchronized with the grid frequency. This preset speed threshold is set according to the design characteristics of the wind turbine and generator to ensure that after the generator gradually increases to an appropriate speed, it can smoothly achieve synchronous operation with the grid. After switching to the high-efficiency working mode, the output characteristics of the inverter will be adjusted to operate at the optimal power output, improving the power generation efficiency of the wind turbine.

[0084] Furthermore, during the entire acceleration process, it is particularly important to monitor the vibration signal and temperature changes of the generator to ensure the stable operation of the generator. Vibration and temperature are two key parameters of the generator's operating status. Through real-time monitoring, it is possible to quickly detect whether there are abnormalities, such as mechanical imbalance or local overheating. When the vibration or temperature exceeds the safety threshold, the inverter will automatically adjust the output power to reduce the speed and prevent failures. This control strategy significantly improves the safety of the fan startup process and ensures that the system does not fail when it is close to the grid-connected state.

[0085] When the speed of the generator is synchronized with the grid frequency, and the vibration and temperature parameters are within the allowable range, the control system triggers the grid-connected switch to connect the wind turbine to the grid and realize grid-connected power generation. Through the automated control of this grid-connected process, it is ensured that the wind turbine is synchronized with the grid in the best state, thereby realizing the efficient utilization of wind resources. Compared with traditional manual control or simple automatic control, the monitoring and adjustment of various parameters before grid connection in the present invention ensures the safety and stability of grid-connected operation, and avoids the problem of grid connection failure or grid instability due to non-compliance of parameters.

[0086] S5: When the wind speed exceeds the set threshold or the equipment is abnormal, execute the corresponding braking procedure.

[0087] Monitor wind speed and the operating status of key wind turbine components, and determine in real time whether the wind speed exceeds the set safety threshold or whether any equipment abnormalities occur.

[0088] If the wind speed exceeds the set threshold or the equipment malfunctions, the emergency brake program will be triggered immediately to quickly reduce the speed of the wind wheel to a safe range to prevent equipment damage.

[0089] A combination of motor braking and mechanical braking is used to achieve a multi-level braking process to ensure that the fan can be shut down safely and reliably.

[0090] While braking, an alarm signal is sent to the control center through the communication module to inform the equipment of abnormal conditions and record relevant data for subsequent analysis.

[0091] When the wind speed returns to a safe range or the fault is eliminated, the system enters standby mode and prepares for the next startup operation.

[0092] It should be noted that through real-time monitoring, it is possible to quickly detect whether the wind speed exceeds the set safety threshold, or whether there are component abnormalities (such as excessive vibration, temperature abnormalities, etc.). The setting of wind speed thresholds and equipment parameters is based on the physical characteristics and operating limits of the equipment to ensure that the wind turbine can immediately perform protective operations when it exceeds the safety range. When it is detected that the wind speed exceeds the set safety threshold or the equipment is abnormal, the system will immediately trigger the emergency braking procedure to quickly drop the speed of the wind wheel to a safe range. The goal of this strategy is to minimize the impact of mechanical stress and energy transfer on the equipment. By quickly reducing the speed of the wind wheel, the equipment can be effectively prevented from suffering irreversible damage due to deterioration of operating conditions. Compared with the traditional way of using only mechanical braking in traditional wind turbines, the emergency braking procedure of the present invention greatly improves the safety of the system through a faster response time.

[0093] Furthermore, the braking procedure adopts a combination of motor braking and mechanical braking to form a multi-level braking process. First, the generator is reversely excited through motor braking, so that the speed of the wind wheel is rapidly reduced; then, the mechanical brake further applies physical braking to completely stop the rotation of the wind wheel. This multi-level braking process design ensures that the wind turbine responds quickly while also ensuring the final stable shutdown, avoiding braking failure caused by insufficient response of a single braking method. The advantage of motor braking is fast response speed, while mechanical braking provides a more reliable final shutdown. The combination of the two greatly improves the safety performance of the wind turbine in emergency situations.

[0094] Furthermore, during the braking process, an alarm signal is sent to the control center and relevant operating data is recorded for subsequent analysis. The alarm signal can promptly notify the operation and maintenance personnel to take further measures, while the recording of operating data provides a basis for subsequent maintenance and fault cause analysis. This function not only improves the efficiency of post-fault processing, but also provides data support for further optimization of the fan control strategy, which is a key step in realizing intelligent operation of the fan system.

[0095] When the wind speed returns to a safe range or the fault is eliminated, the system enters standby mode and prepares for the next startup operation. This part of the design ensures that the wind turbine can return to normal operation as soon as possible after experiencing an abnormal event, reducing downtime and improving the overall availability and power generation efficiency of the system.

[0096] Embodiment 2 is the second embodiment of the present invention, which is different from the previous embodiment in that:

[0097] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the current technical solution, can be embodied in the form of a software product. The current computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0098] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, system or device (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, system or device and execute the instructions), or in conjunction with these instruction execution systems, systems or devices. For the purpose of this specification, "computer-readable medium" can be any system that can contain, store, communicate, propagate or transport a program for use by an instruction execution system, system or device, or in conjunction with these instruction execution systems, systems or devices.

[0099] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic systems), a portable computer disk case (magnetic systems), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber system, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0100] Embodiment 3 is an embodiment of the present invention, which provides a wind turbine start-up optimization control system based on dynamic wind speed adaptation, characterized in that it includes a meteorological information collection module, a start-up condition judgment module, a variable pitch angle adjustment module, a frequency converter control module and a braking and safety protection module.

[0101] Meteorological information collection module: obtain real-time meteorological information around the wind turbine.

[0102] Start-up condition judgment module: judges whether the fan start-up conditions are met according to the real-time meteorological information.

[0103] Pitch angle adjustment module: dynamically adjusts the angle of the pitch system to optimize the windward effect of the wind rotor, and adjusts the speed gain according to changes in wind speed.

[0104] Inverter control module: controls the working state of the inverter and increases the speed of the generator until the wind turbine is connected to the grid for power generation.

[0105] Braking and safety protection module: When the wind speed exceeds the set threshold or the equipment is abnormal, the corresponding braking procedure is executed.

[0106] Example 4 is an embodiment of the present invention, which provides a fan startup optimization control method based on dynamic wind speed adaptation. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation / comparative experiments.

[0107] In order to verify the performance and stability of the fan start-up control system of the present invention under different meteorological conditions, an experiment was designed to evaluate its responsiveness and operating effect during the fan start-up, operation and emergency braking process under wind speed changes, wind direction deviation, ambient temperature and humidity. In the experiment, different meteorological environments and equipment operating conditions were simulated to verify the adaptability and optimization effect of the fan start-up system under different conditions. The experimental objects include key parameters such as wind speed, wind direction deviation, temperature, humidity, generator speed, vibration level and system status.

[0108] First, a test wind field with relatively variable wind conditions was selected as the experimental site. Wind speed sensors, wind direction sensors, temperature and humidity sensors, and accelerometers were arranged in the experiment to collect vibration signals during the operation of the wind turbine. The experimental wind turbine has variable pitch control and variable frequency control functions, and can make adaptive adjustments based on real-time meteorological data. The main functional modules in the control system, including the variable pitch angle adjustment module, the inverter control module, the fault detection and braking module, work in coordination through the built-in controller to achieve safe and efficient startup and operation of the wind turbine.

[0109] At the beginning of the experiment, the control system first monitors the wind speed, wind direction, temperature and humidity in real time. When the wind speed exceeds the preset start threshold and is lower than the upper limit of the safe operating wind speed, the wind direction deviation is less than the set allowable range (5°-15°), and the temperature and humidity are within the set operating range, the fan enters the start state. At this time, the inverter is set to low-speed mode, gradually increasing the speed of the generator to synchronize it with the wind speed change to ensure a smooth start. After reaching the preset speed threshold, the inverter switches to the high-efficiency working mode, which further increases the speed of the generator until it is synchronized with the grid frequency to achieve grid-connected power generation.

[0110] During the entire operation process, the vibration signal and temperature change of the generator are monitored in real time, and the output power of the inverter is adjusted according to these parameters to ensure the smooth operation of the equipment. When a sudden change in wind speed or a significant deviation of wind direction from the optimal direction is detected, the system automatically adjusts the pitch angle to optimize the windward effect of the wind rotor. When the wind speed exceeds the set safety threshold or equipment abnormalities are detected (such as vibration exceeding the set limit), the system immediately triggers the emergency braking procedure, using a combination of motor braking and mechanical braking to quickly reduce the speed of the wind rotor to a safe range. At the same time, an alarm signal is sent to the control center through the communication module, and the operating data is recorded for subsequent analysis.

[0111] Table 1 shows the data collected in the experiment, recording the wind speed, wind direction deviation, temperature, humidity, generator speed, vibration level and system status at different experimental points.

[0112] Table 1 Experimental data table

[0113]

[0114]

[0115] It can be seen from the experimental data that the wind turbine start-up control system of the present invention exhibits excellent adaptability and operational stability under different meteorological conditions. In test points 1 to 3, the wind speed is within the preset start-up threshold range, the wind direction deviation is small, the temperature and humidity are within the normal operating range, the generator speed gradually increases and remains stable, and the system operates well. Under these conditions, the wind turbine achieves efficient energy capture and speed response by dynamically adjusting the pitch angle and the frequency conversion controller, reflecting the intelligence and adaptability of the present invention during the startup process.

[0116] In test point 4, due to the low wind speed, the system remained in standby mode, avoiding blind startup at inappropriate wind speeds, thereby reducing the mechanical stress and energy loss of the equipment. In test point 5, the wind speed exceeded the set safety threshold, and the system triggered the emergency braking program, causing the speed of the wind rotor to drop rapidly to a safe range, while notifying the control center in time through an alarm signal. This emergency response mechanism significantly improves the operating safety of the equipment under extreme wind conditions and avoids equipment damage caused by overspeed or mechanical abnormalities.

[0117] It can be seen from the data of test point 6 that under the conditions of high wind speed and allowable wind direction deviation, the system can maintain stable operation of the generator through appropriate speed adjustment, and the vibration level is also controlled within a reasonable range. Compared with the traditional fan control system, the present invention combines the collection of real-time meteorological information with the control strategy of dynamic adjustment, so that the fan can maintain efficient and safe operation under complex meteorological conditions.

[0118] By comparison, it can be found that the wind turbine start-up control system of the present invention has significant advantages over the prior art. Traditional wind turbines usually use fixed wind speed thresholds and simple mechanical brakes, which are prone to response lags when the wind speed changes drastically or the equipment is abnormal, thus causing equipment damage. The present invention realizes intelligent control of wind turbine start-up, operation and shutdown through comprehensive multi-parameter judgment of wind speed, wind direction, temperature and humidity, combined with dynamic pitch control and speed gain adjustment, effectively improving the operating efficiency and safety of the system. In addition, the vibration level and temperature changes in the experimental data show that the multi-level braking and monitoring mechanism of the present invention can respond quickly when the equipment is abnormal, avoiding damage to the equipment due to uncontrolled operation, and significantly improving the overall reliability of the wind turbine.

[0119] In summary, the data of this embodiment verifies the adaptive control effect of the present invention under different meteorological conditions and its excellent operating stability and safety, reflecting the innovation and superiority of the present invention in improving fan starting efficiency, reducing mechanical stress, and enhancing system intelligence and fault response capabilities.

[0120] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A wind turbine startup optimization control method based on dynamic wind speed adaptation, characterized in that: include: Get real-time weather information around the wind turbine; According to the real-time meteorological information, determining whether the fan start-up conditions are met; Dynamically adjust the angle of the variable pitch system to optimize the windward effect of the wind rotor, and adjust the speed gain according to the changes in wind speed; Control the working state of the inverter and increase the speed of the generator until the wind turbine is connected to the grid for power generation; When the wind speed exceeds the set threshold or the equipment is abnormal, the corresponding braking procedure is executed.

2. The wind turbine startup optimization control method based on dynamic wind speed adaptation according to claim 1, characterized in that: The real-time meteorological information includes wind speed, wind direction, temperature and humidity data.

3. The wind turbine startup optimization control method based on dynamic wind speed adaptation according to claim 2, characterized in that: The determining whether the wind turbine startup condition is met includes determining whether the wind speed is within a preset startup threshold range. If the wind speed is greater than or equal to the startup threshold and less than the upper limit of the safe operation wind speed, the startup condition is determined to be met. Determine whether the wind direction is consistent with the windward direction of the wind rotor. If the wind direction deviation is within the allowable range, the start condition is met; When the temperature and humidity are within the set operating range, the environmental conditions are judged to be suitable for startup; If all the above conditions are met, the fan is started, and the pitch system and inverter are controlled to gradually increase the speed until stable operation is achieved; If any of the conditions are not met, the fan remains in standby mode and the start-up conditions are re-evaluated periodically.

4. The wind turbine startup optimization control method based on dynamic wind speed adaptation according to claim 3 is characterized in that: The dynamic adjustment of the angle of the variable pitch system includes calculating the optimal windward angle using a fluid dynamics model based on real-time wind speed data collected by a wind speed sensor, so that the wind rotor can capture wind energy to the maximum extent; The angle of the variable pitch system is adjusted in real time by the servo motor, so that the wind rotor always maintains the best angle with the wind direction. The control signal of the servo motor is input into the controller by the real-time data of wind speed and wind direction, and the controller calculates and outputs the adjustment command according to the best windward angle; When the wind speed changes greatly, the controller optimizes the adjustment rate of the pitch system to ensure that the change in pitch angle is synchronized with the change in wind speed.

5. The wind turbine startup optimization control method based on dynamic wind speed adaptation according to claim 4, characterized in that: The adjusting the speed gain according to the change of wind speed includes dynamically adjusting the speed gain of the generator by using a PID controller according to the change trend of the wind speed. When the wind speed increases, the speed response capability of the generator is improved by increasing the gain parameter so as to quickly adapt to the new wind speed condition; when the wind speed decreases, the gain parameter is reduced to reduce mechanical stress and energy loss; In a specific wind speed range, historical wind speed data and machine learning algorithms are combined to predict the wind speed change trend in the short term in the future and optimize the speed gain in advance.

6. The wind turbine startup optimization control method based on dynamic wind speed adaptation according to claim 5, characterized in that: The control of the working state of the frequency converter includes starting the frequency converter to gradually increase the rotation speed of the generator in a low-speed mode to ensure that the rotation speed of the generator is synchronized with the change of the wind speed; When the preset speed threshold is reached, the inverter is switched to high-efficiency working mode to increase the speed of the generator to synchronize with the grid frequency; During the entire lifting process, the vibration signal and temperature changes of the generator are monitored to adjust the output power of the inverter in real time to ensure the smooth operation of the generator; When the generator speed is synchronized with the grid frequency and the vibration and temperature parameters are within the allowable range, the control system triggers the grid-connected switch to connect the wind turbine to the grid and realize grid-connected power generation.

7. The wind turbine startup optimization control method based on dynamic wind speed adaptation according to claim 6, characterized in that: The execution of the corresponding braking procedure includes monitoring the wind speed and the operating status of key components of the wind turbine, and determining in real time whether the wind speed exceeds a set safety threshold or whether an abnormality occurs in the equipment; If the wind speed exceeds the set threshold or the equipment is abnormal, the emergency brake program is immediately triggered to quickly reduce the speed of the wind rotor to a safe range to prevent equipment damage; The combination of motor braking and mechanical braking is used to achieve a multi-level braking process to ensure that the fan can be shut down safely and reliably; While braking, an alarm signal is sent to the control center through the communication module to inform the equipment of abnormal conditions and record relevant data for subsequent analysis; When the wind speed returns to a safe range or the fault is eliminated, the system enters standby mode and prepares for the next startup operation.

8. A wind turbine startup optimization control system based on dynamic wind speed self-adaptation using the method according to any one of claims 1 to 7, characterized in that: Meteorological information collection module: obtain real-time meteorological information around the wind turbine; Start-up condition judgment module: judging whether the fan start-up condition is met according to the real-time meteorological information; Pitch angle adjustment module: dynamically adjusts the angle of the pitch system to optimize the windward effect of the wind rotor, and adjusts the speed gain according to the change of wind speed; Inverter control module: controls the working state of the inverter and increases the speed of the generator until the wind turbine is connected to the grid for power generation; Braking and safety protection module: When the wind speed exceeds the set threshold or the equipment is abnormal, the corresponding braking procedure is executed.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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