Wind power variable pitch master control system and method based on PLC

Abstract

The invention relates to the technical field of program control, and particularly discloses a wind power variable pitch master control system and method based on a PLC, the system can comprehensively optimize the operation efficiency and stability of a wind turbine, the system obtains an accurate variable pitch control parameter set by accurately collecting the environment parameters of the operation environment to which the wind turbine belongs and based on the analysis of the PLC, and the control efficiency and stability of the wind turbine are improved. In the process, adjusting process parameters of the wind turbine are monitored in real time, possible deviation is found and corrected in time, the accuracy and effectiveness of the adjusting process are ensured, meanwhile, adjusting result parameters of the wind turbine can be collected and analyzed, whether the adjusting process needs to be calibrated or not is further judged, and the accuracy and the effectiveness of the adjusting process are improved. The series of operations not only improve the operation efficiency of the wind turbine, but also significantly enhance the ability of the wind turbine to deal with a complex environment.

Description

Technical Field

[0001] The present invention relates to the technical field of program control, and in particular to a PLC-based wind power pitch control master control system and method. Background Art

[0002] In wind power generation systems, pitch control systems are key components of wind turbines. The continuous improvement of their technical level and power generation efficiency is of great significance to promoting the optimization of energy structure and sustainable development. By continuously optimizing control strategies and improving system performance, the power generation efficiency and operational stability of wind turbines can be further improved, making greater contributions to the promotion and application of renewable energy.

[0003] For example, the invention patent with publication number CN115453961A discloses a PLC autonomous control method for a wind turbine generator set, which includes: S1: the PLC system is powered on and runs the system parameter initialization program; S2: the entry function is executed according to the preset loop scanning period, and the corresponding module program is called according to the entry function; S3: the fault condition is checked after receiving the start-up command; S4: the wind speed is checked to see if it meets the preset requirements; S5: the yaw angle is checked to see if it meets the preset requirements; S6: the pitch control is started, and the speed is checked in real time to see if it meets the preset speed value; S7: the frequency converter is started, and it waits for the grid-connected operation to complete this loop scanning control.

[0004] For example, the invention patent with announcement number CN113031527B announces a multi-axis synchronous pitch control method, device and system. The multi-axis synchronous pitch control method includes: obtaining the measured values ​​of the quasi-synchronous variables of each motion axis at the same time; determining the compensation value of each motion axis for the quasi-synchronous variable based on the measured values ​​of the quasi-synchronous variables of each motion axis; and applying the compensation value of each motion axis for the quasi-synchronous variable to the controller of the corresponding motion axis, so as to control each motion axis to achieve synchronous motion.

[0005] However, in the process of implementing the embodiments of the present application, it was found that the above-mentioned technology has at least the following technical problems: when adjusting the wind turbine pitch, the prior art usually relies on environmental parameters (such as wind speed, wind direction, etc.) to make settings and adjustments. However, in the actual adjustment process, especially under extreme conditions, the wind turbine will experience more drastic state changes. These dynamic changes have a crucial impact on the adjustment process of the wind turbine pitch. Therefore, the adjustment process of the prior art may not be able to accurately match the actual needs of the wind turbine, limiting the performance of the wind turbine. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides a PLC-based wind turbine pitch control system and method, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: The first aspect of the present invention provides a PLC-based wind turbine pitch control master control system, including: an instruction sending module, used to collect environmental parameters of the operating environment of the wind turbine, obtain a pitch control parameter set based on PLC analysis and send a master control instruction, the wind turbine receives the master control instruction and adjusts it; a process correction module, used to monitor and obtain the wind turbine adjustment process parameters, and determine whether to correct the wind turbine adjustment process; a process calibration module, used to collect and analyze the adjustment result parameters of the wind turbine, so as to determine whether to calibrate the wind turbine adjustment process.

[0008] As a further solution, the determination of whether to correct the adjustment process of the wind turbine is as follows: based on the adjustment process parameters of the wind turbine, evaluating the adjustment process abnormality coefficient of each blade belonging to the wind turbine; comparing the adjustment process abnormality coefficient with the allowable interval of the adjustment process abnormality coefficient; if the adjustment process abnormality coefficient of a blade belonging to the wind turbine belongs to the allowable interval of the adjustment process abnormality coefficient, determining not to correct the adjustment process of the wind turbine; if the adjustment process abnormality coefficient of a blade belonging to the wind turbine does not belong to the allowable interval of the adjustment process abnormality coefficient, determining to correct the adjustment process of the wind turbine.

[0009] As a further solution, the adjustment process of the wind turbine is corrected, and the specific correction process is: if the adjustment process abnormality coefficient of a blade belonging to the wind turbine is greater than the maximum value of the allowable interval of the adjustment process abnormality coefficient, the PLC will reduce the adjustment speed of the blade belonging to the wind turbine and update the corresponding data stored in the pitch database; if the adjustment process abnormality coefficient of a blade belonging to the wind turbine is less than the minimum value of the allowable interval of the adjustment process abnormality coefficient, the PLC will increase the adjustment speed of the blade belonging to the wind turbine and update the corresponding data stored in the pitch database.

[0010] As a further solution, the determination of whether to calibrate the adjustment process of the wind turbine is specifically performed as follows: based on the adjustment result parameters of the wind turbine, the operation stability index of the wind turbine at the second time point is analyzed, and compared with the operation stability threshold; if the operation stability index of the wind turbine at the second time point is greater than or equal to the operation stability threshold, it is determined that the adjustment process of the wind turbine is not calibrated; if the operation stability index of the wind turbine at the second time point is less than the operation stability threshold, it is determined that the adjustment process of the wind turbine is calibrated.

[0011] As a further solution, the adjustment process of the wind turbine is calibrated, and the specific calibration process is: difference processing is performed on the operation stability threshold and the operation stability index of the wind turbine at the second time point, and the processing result is compared with the operation stability threshold, and finally the operation stability deviation rate of the wind turbine at the second time point is obtained; the PLC matches the adjustment speed slowdown calibration factor from the pitch database according to the operation stability deviation rate of the wind turbine at the second time point, and calibrates the adjustment speed of each blade belonging to the next adjacent matched wind turbine according to the adjustment speed slowdown calibration factor.

[0012] The second aspect of the present invention provides a PLC-based wind turbine pitch control master control method, including: S1. Collecting environmental parameters of the operating environment of the wind turbine, obtaining a pitch control parameter set based on PLC analysis and sending a master control instruction, and the wind turbine receives the master control instruction and makes adjustments; S2. Monitoring and obtaining the wind turbine adjustment process parameters, and determining whether to correct the wind turbine adjustment process; S3. Collecting and analyzing the wind turbine adjustment result parameters to determine whether to calibrate the wind turbine adjustment process.

[0013] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0014] (1) The present invention provides a PLC-based wind turbine pitch control master control system and method, which can comprehensively optimize the operating efficiency and stability of the wind turbine. The system accurately collects the environmental parameters of the operating environment of the wind turbine and obtains an accurate pitch control parameter set based on PLC analysis, and then sends a master control instruction to the wind turbine for adjustment. During this process, the adjustment process parameters of the wind turbine are monitored in real time, and possible deviations are discovered and corrected in time to ensure the accuracy and effectiveness of the adjustment process. At the same time, the adjustment result parameters of the wind turbine can be collected and analyzed to further determine whether the adjustment process needs to be calibrated, thereby realizing refined management of the wind turbine. This series of operations not only improves the operating efficiency of the wind turbine, but also significantly enhances its ability to cope with complex environments.

[0015] (2) The present invention quantitatively analyzes the abnormality of the operating environment of the wind turbine at the first time point, thereby deriving different blade adjustment speeds, thereby achieving a refined evaluation of the operating environment of the wind turbine, so that the blade adjustment speed can be matched with environmental changes in real time, thereby improving the adaptability and stability of the wind turbine under various complex climatic conditions. Secondly, accurate blade adjustment speed helps to reduce the energy consumption and wear of the wind turbine during operation, extend the service life of the wind turbine, and reduce maintenance costs.

[0016] (3) The present invention can accurately monitor and evaluate the operating status of the wind turbine by quantifying the operating stability of the wind turbine at the second time point, and then correct the adjustment process at the next time point to ensure that the wind turbine does not exceed its own load under extreme conditions. This design effectively avoids overload, reduces the failure rate, and improves the safety and stability of the wind turbine. At the same time, through quantitative analysis of the operating stability, problems in the adjustment process can be discovered and solved in a timely manner, the adjustment strategy can be optimized, and the power generation efficiency and operating efficiency can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0018] Figure 1 It is a schematic diagram of system module connection of the present invention;

[0019] Figure 2 The figure is a schematic flow chart of the method steps of the present invention. DETAILED DESCRIPTION

[0020] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0021] Reference Figure 1 As shown, the first aspect of the present invention provides a PLC-based wind turbine pitch control system, including: an instruction sending module, a process correction module, a process calibration module and a pitch database.

[0022] The pitch database is used to store relevant parameters in the PLC-based wind turbine pitch control system.

[0023] The instruction sending module is connected to the process correction module, the process correction module is connected to the process calibration module, and the instruction sending module, the process correction module and the process calibration module are all connected to the pitch database.

[0024] The instruction sending module is used to collect environmental parameters of the operating environment of the wind turbine, obtain a pitch control parameter set based on PLC analysis and send a main control instruction, and the wind turbine receives the main control instruction and makes adjustments.

[0025] The above-mentioned PLC is a computer device specially used for industrial automation control. It can perform logical control and sequential control of industrial equipment according to preset programs. In wind turbines, PLC acts as the main controller, responsible for receiving signals from detection units such as sensors and encoders, and issuing control instructions based on these signals to adjust parameters such as the angle of the blades. The PLC performance index requirements are: the main controller is equipped with domestic chips + domestic embedded real-time operating system, using a 100M real-time industrial Ethernet bus, and all core components must be domestically produced. The product must integrate the mainstream IPC technology of international wind turbine main control. On the one hand, it inherits the rich system resources in personal computers, provides priority preemptive real-time scheduling and multi-task management mechanisms, and supports exception / interrupt management based on interrupt nesting and shared interrupts, so that the development of the main control system and core algorithms provides a higher level of security; on the other hand, it has the advantages of a modular industrial controller based on an industrial Ethernet bus in structure.

[0026] It should be explained that the hardware of the above-mentioned wind turbine main control system realizes redundant working modes such as controller, power supply and bus according to the principles of modularization and flexible configuration. The main control system hardware includes CPU module, DI module, DO module, AI module, AO module, RTD module, communication module, high-speed counting module, backplane and system power supply. All modules are installed on the backplane and can communicate with third-party devices through various network protocols such as protocol Internet of Things communication. The control system plays a key role in realizing the normal operation and power generation of wind turbines, ensuring safe and reliable operation. Any factors that may affect the safe operation of the unit must be fully considered in the control strategy. The control system mainly realizes three functions: normal operation control, parameter monitoring and supervision, and safety protection and processing. At the same time, the maximum power generation of the unit is guaranteed below the rated wind speed, and the rated power operation of the unit is guaranteed above the rated wind speed and the load of the unit is reduced as much as possible.

[0027] The control system of the unit is automatic and can be operated unattended. Each unit has an independent control module. The control system detects all possible unsafe situations and stops the wind turbine from running or returns it to a safe and undamaged state. The control system has a failure protection mechanism, and any failure of any sensor or starting component will not affect the safe shutdown of the wind turbine.

[0028] The main functions of the main control system include: automatic start and stop control, grid connection control, speed control, power control, reactive compensation control, automatic wind control, cable unwinding control, automatic grid disconnection, safe shutdown control, etc.; the algorithm design mainly includes variable pitch control and torque control; various sensors are used to monitor the power grid, wind conditions and wind turbine operating parameters, and maintain data communication with the frequency conversion system and variable pitch system, make a comprehensive analysis based on data from all aspects, and issue control commands to realize the start and stop, grid connection and disconnection, blade angle, yaw wind control and other controls of the unit to achieve maximum power capture.

[0029] At the same time, the main control system should have the function of event triggering and recording. The recorded data include but are not limited to: three-phase voltage at the machine end, three-phase voltage at the AC side, power, DC bus voltage of the converter, unit protection action signal, speed, wind speed and pitch angle, etc. The resolution of event recording data shall not be less than 50 times / second, and the recording time shall not be less than 240 seconds, including: 60 seconds before the accident and 180 seconds after the accident; the main control system shall be able to automatically record no less than 128 specified recent key fault information in the local controller storage area, and the resolution accuracy shall be at least 20ms, so as to facilitate the subsequent reproduction and analysis of the fault;

[0030] The wind turbine master control system has a distributed database. The field-wide real-time database and historical database are distributed in the field-level server; the real-time data processing and control strategies of each unit are distributed on each wind turbine master controller; the system functions are distributed on each connection point, and each node strictly executes the designated tasks and communicates with other nodes through the system control network.

[0031] The monitoring system adopts a modular design, that is, the program is not written by entering computer statements and instructions one by one. Instead, the main structure and process of the software are described first with frameworks such as the main program, subroutine, and subprocess, and the input and output links between each framework are defined and debugged. The result of gradual refinement is a series of algorithm descriptions in functional blocks. The method of programming in functional blocks and implementing the solution algorithm is called modularization.

[0032] The functions of the SCADA system should include remote operation of wind turbines, group control operation, real-time data display, historical data query, report generation, data analysis and other functions. Wind farm overview interface: The overview interface is the main interface of the monitoring system. The interface contains all the information required for monitoring and can clearly display the current status of each unit, including but not limited to the following information: wind farm name, number of safe operation days, system time, system users; number of wind-waiting units, number of starting units, number of grid-connected units, number of power-limited generating units, number of shutdown units, number of communication interruption units, number of manually shutdown units, number of service (maintenance) units; average wind speed, total active power of the whole farm, total reactive power of the whole farm, total active power command of the whole farm, total reactive power command of the whole farm, theoretical power of the whole farm, daily power generation, monthly power generation, annual power generation and total power generation, etc.; wind direction of the wind farm, maximum wind speed and unit, minimum wind speed and unit, etc.; single unit interface: mainly used to display the real-time operation status of a single wind turbine in the wind farm. According to the major components of the wind turbine, it is divided into several equipment sub-screens to display the real-time operation data of the wind turbine. Users can add or delete certain variables in the screen according to their needs; Operation report: mainly used to query the operation statistics of the whole field wind turbine, including statistical data: fault information, event information, power generation, availability, power curve, average wind speed, maximum wind speed, minimum wind speed, power generation, available time, operation time, generation time, fault time, grid fault time and limited power operation time, etc. Users can query the statistical data within the specified date, and support the export, filtering and printing of query data; Unit control and adjustment: mainly used to control the overall control and single machine control of the whole process wind turbine, such as starting, stopping and fault reset. Through the engineer station, different user levels can set the parameters of the wind turbine. In order to prevent misoperation, the key parameter modification and equipment operation setting verification function are set; Historical alarm query: view the alarm and fault information of the wind turbine within a certain period of time, and filter and query by conditions such as unit, time period and alarm information keywords; Sound alarm: with sound alarm function, when the unit fails, it reminds the staff in the form of sound that there is a unit failure; Fault snapshot: with fault snapshot export and analysis function, it is conducive to the on-site operation and maintenance personnel to quickly solve the fault.

[0033] Specifically, the analysis obtains a pitch control parameter set and sends a main control instruction. The specific analysis process is: the environmental parameters of the operating environment of the wind turbine are collected, that is, the environmental parameters of the operating environment of the wind turbine are collected at the first time point, and marked as the environmental parameter set of the operating environment of the wind turbine at the first time point, and at the same time, according to the environmental parameter set of the operating environment of the wind turbine at the first time point, the abnormal assessment factor of the operating environment of the wind turbine at the first time point is analyzed; according to the environmental parameter set of the operating environment of the wind turbine at the first time point, the similarity analysis is performed in turn with each historical environmental parameter set stored in the pitch database, so as to analyze and obtain the pitch control parameter set corresponding to the historical environmental parameter set ranked first in similarity, and mark it as the initial pitch control parameter set corresponding to the environmental parameter set; the above-mentioned first time point is obtained by According to actual needs, the environmental administrator presets multiple specific moments in the PLC to collect the parameters of the wind turbine operating environment. These time points do not exist alone, but are multiple time points set by the environmental administrator after comprehensive consideration of factors such as the periodicity of wind turbine operation and the characteristics of environmental changes; the above-mentioned similarity analysis refers to the similarity obtained through a similarity algorithm (such as a cosine similarity algorithm); the above-mentioned similarity ranking first refers to sorting the similarities between the environmental parameter set and each historical environmental parameter set in order from large to small, and the one with the highest similarity ranks first in similarity; the pitch control set refers to a set of pitch parameters determined according to environmental parameters, including but not limited to blade adjustment angle, adjustment speed reference value, reference torque-current ratio, reference pitch angle change rate, and defined vibration frequency.

[0034] The environmental parameter set in this embodiment is incorporated into the pitch control database after the pitch control is completed, and becomes a part of the historical environmental parameter set.

[0035] The abnormal assessment factor of the operating environment of the wind turbine corresponding to the historical environmental parameter set ranked first in similarity is obtained, and the difference processing is performed with the abnormal assessment factor of the operating environment of the wind turbine at the first time point to obtain the abnormal assessment factor deviation value of the operating environment of the wind turbine at the first time point, and the parameter modification set is matched from the pitch database. The specific matching process is: the parameter modification set corresponding to each abnormal assessment factor deviation value interval is stored in the pitch database, and the abnormal assessment factor deviation value interval stored in the pitch database to which the abnormal assessment factor deviation value of the operating environment of the wind turbine at the first time point belongs is queried. The parameter modification set corresponding to the abnormal assessment factor deviation value interval is the parameter modification set matched by this embodiment; the parameter modification set is a set of optimized values ​​used to adjust the pitch control parameters. This set of values ​​can ensure that the pitch control adapts to the actual environmental requirements more accurately and improves the adjustment accuracy and operation stability of the wind turbine, specifically including but not limited to: blade adjustment angle correction value: a fine-tuning value of the original adjustment angle according to the real-time monitored environmental parameter changes or the deviation in the blade adjustment process; adjustment speed adjustment coefficient: a coefficient used to adjust the blade adjustment speed. When you need to speed up or slow down the blade adjustment speed, you can do so by adjusting this coefficient;Torque-current ratio adjustment coefficient: a coefficient used to adjust the proportional relationship between blade torque and current. By adjusting this coefficient, you can optimize the performance of the blade during the adjustment process;Pitch angle change rate adjustment coefficient: a coefficient used to adjust the blade pitch angle change rate; By adjusting this coefficient, you can ensure that the blade can smoothly transition during the adjustment process;Vibration frequency suppression coefficient: a coefficient used to suppress blade vibration. When the blade vibration frequency is detected to exceed the limit value, you can adjust this coefficient to reduce the vibration amplitude.

[0036] The initial pitch control parameter set and the parameter modification set corresponding to the comprehensive environmental parameter set are used to obtain the pitch control parameter set corresponding to the environmental parameter set. According to the pitch control parameter set corresponding to the environmental parameter set, the PLC generates a master control instruction and sends it to the wind turbine. In an example embodiment, the master control instruction includes: when the wind speed reaches 12 meters per second and the wind direction is within 30 degrees north-east, all blades of the wind turbine are synchronously adjusted to an angle of 20 degrees to reduce the impact of wind force on the torque of the wind turbine main shaft and maintain the stability of the generator output power.

[0037] According to the abnormal assessment factor of the operating environment of the wind turbine at the first time point, the adjustment speed of each blade of the wind turbine is matched from the pitch database, and the wind turbine receives the main control instruction and adjusts according to the adjustment speed. The specific matching process is: the pitch database stores the adjustment speed of each blade of the wind turbine corresponding to each abnormal assessment factor interval, and queries the abnormal assessment factor interval of the abnormal assessment factor of the operating environment of the wind turbine at the first time point. The abnormal assessment factor interval is the adjustment speed of each blade of the wind turbine matched in this embodiment; in an example embodiment, the adjustment speed of each blade of the wind turbine is set to 10 degrees / second.

[0038] If the adjustment speed of the blades belonging to the wind turbine is greater than or equal to the adjustment speed reference value, the blades belonging to the wind turbine are adjusted according to the first scheme; if the adjustment speed of the blades belonging to the wind turbine is less than the adjustment speed reference value, the blades belonging to the wind turbine are adjusted according to the second scheme; the adjustment speed reference value refers to the reference speed value that defines the adjustment strategy selection of the blades belonging to the wind turbine (i.e., adjustment according to the first scheme or the second scheme); the second scheme refers to the use of a hydraulic press to directly and accurately control the adjustment speed of the blades to ensure a smooth and efficient adjustment process; the first scheme refers to the introduction of an accumulator to assist on the basis of speed control by the hydraulic press. The accumulator can store and release energy to provide additional power support to the hydraulic press when necessary, thereby accelerating the adjustment speed of the blades so that it reaches or exceeds the adjustment speed reference value as soon as possible.

[0039] Furthermore, the abnormal assessment factor of the operating environment of the wind turbine at the first time point has a specific analysis process as follows: according to the environmental parameter set of the operating environment of the wind turbine at the first time point, the abnormal assessment factor of the operating environment of the wind turbine at the first time point is analyzed, and specifically obtained by comprehensive analysis of the turbulence intensity of the operating environment of the wind turbine at the first time point, the maximum wind shear value of the operating environment of the wind turbine at the first time point, and the wind speed gradient of the operating environment of the wind turbine at the first time point in the environmental parameter set, and used to comprehensively quantify the degree of abnormality of the operating environment of the wind turbine at the first time point; wherein the abnormal assessment factor has a specific comprehensive analysis process as follows: by introducing the influence value, the influence degree of turbulence intensity on the abnormal assessment factor, the influence degree of maximum wind shear value on the abnormal assessment factor, and the influence degree of wind speed gradient on the abnormal assessment factor are quantified in turn, and aggregation is performed, and the aggregation result is amplified to finally obtain the abnormal assessment factor; the above-mentioned turbulence intensity is a description of the degree of wind speed change over time and space, and the turbulence intensity is usually measured by equipment such as wind towers or meteorological stations, During measurement, it is necessary to record wind speed data within a period of time, and calculate the ratio of the standard deviation of wind speed to the average wind speed during this period, so as to obtain the value of turbulence intensity. In this embodiment, the turbulence intensity most recently updated from the first time point is marked as the turbulence intensity of the operating environment of the wind turbine at the first time point; the above-mentioned maximum wind shear value refers to the maximum rate at which wind speed changes with space in the operating environment of the wind turbine. Wind speed measurement points are set at different heights, and a wind speed sensor is used to obtain the wind speed of each wind speed detection point at the first time point. The wind speed gradient between adjacent wind speed detection points is calculated and divided by the shortest straight-line distance between adjacent wind speed detection points to obtain each wind shear value. The wind shear values ​​are sorted in order from large to small, and the wind shear value ranked first is extracted and marked as the maximum wind shear value; the above-mentioned wind speed gradient refers to the gradient of wind speed change with height, that is, the change in wind speed within a unit height. The difference between the wind speed of the highest wind speed measurement point at the first time point and the wind speed of the lowest wind speed measurement point at the first time point is divided by the height difference between the highest wind speed measurement point and the lowest wind speed measurement point to obtain the wind speed gradient.

[0040] The abnormality assessment factor takes into account three environmental factors: tidal intensity, maximum wind shear value and wind speed gradient. For each environmental factor, there is a corresponding impact value (a1, a2, a3). These impact values ​​reflect the relative importance or degree of influence of each environmental factor on the operating environment of the wind turbine. By multiplying each environmental factor by its corresponding impact value and adding these three products, a weighted sum is obtained. This weighted sum represents the comprehensive impact of all considered environmental factors on the operating environment of the wind turbine. The weighted sum is indexed and divided to finally obtain the abnormality assessment factor. The weighted sum is processed to ensure that the value of the abnormality assessment factor is within a reasonable range.

[0041] The abnormal evaluation factor of the operating environment of the wind turbine at the first time point is specifically expressed as:

[0042]

[0043] Where, FAS is the abnormal assessment factor of the operating environment of the wind turbine at the first time point, LTC is the turbulence intensity of the operating environment of the wind turbine at the first time point, GTR is the maximum wind shear value of the operating environment of the wind turbine at the first time point, PBU is the wind speed gradient of the operating environment of the wind turbine at the first time point, a 1 is the impact value corresponding to the turbulence intensity preset in the pitch database, a 2 is the influence value corresponding to the maximum wind shear value preset in the pitch database, a 3 It is the impact value corresponding to the wind speed gradient preset in the pitch database.

[0044] The influence value corresponding to the above turbulence intensity is used to de-unitize the turbulence intensity, and represents the numerical value of the influence of the unit value of the turbulence intensity on the abnormal assessment factor; the influence value corresponding to the above maximum wind shear value is used to de-unitize the maximum wind shear value, and represents the numerical value of the influence of the unit value of the maximum wind shear value on the abnormal assessment factor; the influence value corresponding to the above wind speed gradient represents the numerical value of the influence of the unit value of the wind speed gradient on the abnormal assessment factor; the variable pitch database stores the correspondence between the turbulence intensity, the maximum wind shear value, and the wind speed gradient and their corresponding influence values. For example, the turbulence intensity, the maximum wind shear value, and the wind speed gradient are input into the variable pitch database, and the variable pitch database can match the influence value corresponding to the turbulence intensity, the influence value corresponding to the maximum wind shear value, and the influence value corresponding to the wind speed gradient, and the value range is between 0 and 1.

[0045] It needs to be explained that turbulence intensity, maximum wind shear value and wind speed gradient are key indicators for evaluating the complexity and dynamics of the wind turbine operating environment. They work together on the wind turbine pitch control process and affect the stability and power generation efficiency of the wind turbine. Specifically, an increase in turbulence intensity may intensify the wind shear effect and changes in wind speed gradient, because turbulent airflow is more susceptible to terrain and obstacles, thus forming a wind flow layer with obvious speed differences. When the turbulence intensity increases, it indicates that the airflow in the wind turbine operating environment has become more unstable, which will increase the load and wear on the blades. Changes in the maximum wind shear value may also affect the distribution and intensity of turbulence intensity. The degree of wind speed is due to the uneven distribution of wind speed, which may aggravate the disturbance of airflow and the formation of turbulence. When the maximum wind shear value is large, it means that the wind speed at different heights is quite different, which may cause the blades to be impacted by uneven airflow during the pitch change process, thereby aggravating the load and wear of the blades. When the wind speed gradient is large, it means that there is a large difference in the vertical direction of the wind speed in the operating environment of the wind turbine. This difference may cause the blades to be affected by airflow in different directions during the pitch change process, thereby affecting the stability and control accuracy of the blades. Therefore, they jointly determine the abnormality of the wind turbine operating environment, and thus affect the pitch control strategy and operating status of the wind turbine.

[0046] In a specific embodiment, the present invention quantitatively analyzes the degree of abnormality of the operating environment of the wind turbine at the first time point to obtain different blade adjustment speeds, thereby achieving a refined assessment of the operating environment of the wind turbine, so that the blade adjustment speed can be matched with environmental changes in real time, thereby improving the adaptability and stability of the wind turbine under various complex climatic conditions. Secondly, accurate blade adjustment speed helps to reduce the energy consumption and wear of the wind turbine during operation, extend the service life of the wind turbine, and reduce maintenance costs.

[0047] The process correction module is used to monitor and obtain wind turbine adjustment process parameters, and determine whether to correct the wind turbine adjustment process.

[0048] Specifically, the determination of whether to correct the adjustment process of the wind turbine is as follows: based on the adjustment process parameters of the wind turbine, evaluate the adjustment process abnormality coefficient of each blade belonging to the wind turbine; compare the adjustment process abnormality coefficient with the allowable interval of the adjustment process abnormality coefficient; if the adjustment process abnormality coefficient of a blade belonging to the wind turbine belongs to the allowable interval of the adjustment process abnormality coefficient, determine that the adjustment process of the wind turbine is not corrected; if the adjustment process abnormality coefficient of a blade belonging to the wind turbine does not belong to the allowable interval of the adjustment process abnormality coefficient, determine that the adjustment process of the wind turbine is corrected; the above-mentioned allowable interval of the adjustment process abnormality coefficient is a preset interval in the variable pitch database, which refers to the reasonable range of allowed fluctuations of the adjustment process abnormality coefficient. Within this interval, even if the adjustment process abnormality coefficient changes, it is regarded as a normal fluctuation and no additional adjustment or intervention is required.

[0049] Specifically, the abnormal coefficient of the adjustment process of each blade of the wind turbine is evaluated as follows:

[0050] The wind turbine adjustment process parameters include the torque-current ratio of each blade belonging to the wind turbine at each moment in the adjustment cycle, the pitch angle change rate of each blade belonging to the wind turbine at each moment in the adjustment cycle, and the vibration frequency of each blade belonging to the wind turbine at each moment in the adjustment cycle; the above-mentioned adjustment cycle refers to the time period in which the wind turbine executes the main control instruction; the above-mentioned torque-current ratio refers to the ratio between the torque generated by the blade and the input current during the power generation process of the wind turbine. This parameter reflects the efficiency of the wind turbine in converting electrical energy into mechanical energy, as well as the electromagnetic properties inside the motor. The torque can be measured by a torque sensor, and the current value can be measured by a current sensor; the above-mentioned pitch angle change rate refers to the speed at which the pitch angle of the wind turbine blade (i.e., the angle between the blade and the wind rotor plane) changes per unit time, which can be obtained by monitoring the pitch angle sensor of the wind turbine blade; the above-mentioned vibration frequency refers to the number of vibrations of the wind turbine at each moment in the adjustment cycle, that is, the number of vibrations per unit time, which can be obtained by a vibration sensor installed on the wind turbine.

[0051] By coupling the influence data of the abnormal evaluation factor on the abnormal coefficient of the adjustment process, the influence data of the deviation degree between the torque-current ratio and the reference torque-current ratio on the abnormal coefficient of the adjustment process, the influence data of the deviation degree between the pitch angle change rate and the reference pitch angle change rate on the abnormal coefficient of the adjustment process, and the influence data of the ratio between the vibration frequency and the defined vibration frequency on the abnormal coefficient of the adjustment process, the abnormal coefficient of the adjustment process of each blade belonging to the wind generator is obtained. The abnormal coefficient of the adjustment process of each blade belonging to the wind generator represents the quantitative data of the influence degree of the abnormal evaluation factor of the operating environment of the wind generator at the first time point, the torque-current ratio, the pitch angle change rate and the vibration frequency of each blade belonging to the wind generator at each moment in the adjustment cycle on the abnormality of the pitch adjustment process of each blade belonging to the wind generator, and is used to quantify the abnormality degree of the pitch adjustment process of each blade belonging to the wind generator.

[0052] The abnormal coefficient of the adjustment process of each blade of the wind turbine is specifically expressed as follows:

[0053]

[0054] Where BM n is the abnormal coefficient of the adjustment process of the nth blade of the wind turbine, t is any time in the adjustment cycle, t∈[t 0 , t 1 ], where t 0 is the start time of the adjustment cycle, t 1 is the end time point of the adjustment cycle, FAS is the abnormal assessment factor of the wind turbine operating environment at the first time point, D is the impact weight value corresponding to the abnormal assessment factor preset in the pitch database, and TTC(t) n is the torque-current ratio of the nth blade of the wind turbine at time t in the adjustment cycle, ΔTTC(t) is the reference torque-current ratio at time t in the adjustment cycle set by the pitch control parameter set, and BP(t) n is the pitch angle change rate of the nth blade of the wind turbine at time t in the adjustment cycle, ΔBP(t) is the reference pitch angle change rate at time t in the adjustment cycle set by the pitch control parameter set, and FR(t) n is the vibration frequency of the nth blade of the wind turbine at time t in the adjustment cycle, J_FR(t) is the defined vibration frequency at time t in the adjustment cycle set by the pitch control parameter set, as 1 is the influence weight value corresponding to the torque-current ratio preset in the pitch database, as 2 is the influence weight value corresponding to the pitch angle change rate preset in the pitch database, as 3 is the influence weight value corresponding to the vibration frequency preset in the pitch database, n is the number of each blade, n={1,2,3,...,m}, and m is the total number of blades.

[0055] The above-mentioned reference torque-current ratio represents a reference value of the torque-current ratio; the above-mentioned reference pitch angle change rate represents a reference value of the pitch angle change rate; the above-mentioned defined vibration frequency represents the maximum allowable value of the vibration frequency.

[0056] The influence weight value corresponding to the above-mentioned abnormal assessment factor is used to de-unitize the abnormal assessment factor, and represents the numerical value of the influence of the unit value of the abnormal assessment factor on the abnormal coefficient of the adjustment process; the influence weight value corresponding to the above-mentioned torque-current ratio represents the numerical value of the influence of the unit value of the torque-current ratio on the abnormal coefficient of the adjustment process; the influence weight value corresponding to the above-mentioned pitch angle change rate represents the numerical value of the influence of the unit value of the pitch angle change rate on the abnormal coefficient of the adjustment process; the influence weight value corresponding to the above-mentioned vibration frequency represents the numerical value of the influence of the unit value of the vibration frequency on the abnormal coefficient of the adjustment process; the corresponding relationship between the abnormal assessment factor, torque-current ratio, pitch angle change rate and vibration frequency and their corresponding influence weight values ​​is stored in the pitch database. For example, the abnormal assessment factor, torque-current ratio, pitch angle change rate and vibration frequency are input into the pitch database, and the pitch database can match the influence weight value corresponding to the abnormal assessment factor, the influence weight value corresponding to the torque-current ratio, the influence weight value corresponding to the pitch angle change rate and the influence weight value corresponding to the vibration frequency, and the value range is between 0 and 1.

[0057] It should be explained that the abnormal evaluation factor of the operating environment is a basic and prerequisite parameter. The abnormality of this factor will directly cause the wind turbine blades to face a more complex and changeable aerodynamic environment during the adjustment process, thereby affecting the blade's stress state and adjustment requirements. The torque-current ratio, as a key indicator to measure the motor output characteristics during the adjustment process of the wind turbine blades, reflects the proportional relationship between the motor output torque and the required current. When the abnormal evaluation factor of the environmental parameter set increases, that is, the environment becomes more severe, the blades tend to withstand greater wind force and more complex aerodynamic effects. In order to maintain the stable adjustment of the blades in such a complex environment, the wind turbine often needs to output a greater torque. However, in the actual adjustment process, due to sudden changes in environmental conditions or complex changes in the blade stress state, the torque-current ratio may deviate significantly from its corresponding reference value, thereby reflecting certain abnormal conditions in the adjustment process. The pitch angle change rate is also one of the important parameters affected by the abnormal evaluation factor of the environmental parameter set, which reflects the speed of the pitch angle change of the wind turbine blades during the adjustment process. In extreme or abnormal Under the meteorological conditions, in order to respond to the rapid changes in wind force in time, the blades may need to adjust their pitch angles more quickly. In this rapid adjustment process, due to the complexity of environmental conditions or the abnormal response of the blade control system, the pitch angle change rate may deviate significantly from its ideal reference value. This deviation not only affects the adjustment accuracy and stability of the blades, but may also have an adverse effect on the overall performance of the wind turbine. The vibration frequency reflects the vibration state of the wind turbine blades during the adjustment process. It is an important indicator of blade stability and durability. The abnormal evaluation factor of the environmental parameter set affects the aerodynamic load and stress state of the blades, which may lead to abnormal changes in the blade vibration frequency. At the same time, the abnormal deviation of the torque-current ratio and the pitch angle change rate may also aggravate the vibration of the blades, forming a vicious cycle of mutual influence. In summary, the four parameters are closely related through the abnormal evaluation factor of the environmental parameter set. The abnormal change of one parameter often leads to an increase in the abnormal coefficient of the adjustment process by affecting other parameters, thereby reflecting the overall abnormality of the wind turbine blades during the adjustment process.

[0058] Furthermore, the adjustment process of the wind turbine is corrected, and the specific correction process is: if the adjustment process abnormality coefficient of a blade belonging to the wind turbine is greater than the maximum value of the allowable interval of the adjustment process abnormality coefficient, the PLC will reduce the adjustment speed of the blade belonging to the wind turbine, and update the corresponding data stored in the variable pitch database; it should be explained that the above reduction correction, wherein the degree of correction is determined according to the adjustment process abnormality coefficient of a blade belonging to the wind turbine; assuming that the adjustment process abnormality coefficient of a blade belonging to the wind turbine is P, the maximum value of the allowable interval of the adjustment process abnormality coefficient is P1, and the adjustment speed of the blade belonging to the wind turbine is H, then the adjustment speed of the blade belonging to the wind turbine is reduced by P-P1, and the adjustment speed of the blade stored in the variable pitch database is updated according to the reduced data, and the updated value is

[0059] If the adjustment process abnormality coefficient of a blade belonging to the wind turbine is less than the minimum value of the allowable interval of the adjustment process abnormality coefficient, the PLC will expand and correct the adjustment speed of the blade belonging to the wind turbine, and update the corresponding data stored in the variable pitch database; it should be explained that the above expansion and correction, wherein the degree of correction is also determined according to the adjustment process abnormality coefficient of a blade belonging to the wind turbine; assuming that the adjustment process abnormality coefficient of a blade belonging to the wind turbine is P, the minimum value of the allowable interval of the adjustment process abnormality coefficient is P2, and the adjustment speed of the blade belonging to the wind turbine is H, then the adjustment speed of the blade belonging to the wind turbine is expanded by P2-P, and the adjustment speed of the blade stored in the variable pitch database is updated according to the expanded data, and the updated value is

[0060] It needs to be explained that when the abnormal coefficient of the adjustment process of a blade belonging to a wind turbine is greater than the maximum value of the allowable range of the abnormal coefficient of the adjustment process, this usually means that there is a large deviation or instability in the adjustment process of the blade, which may be due to sudden changes in external wind conditions, mechanical failure of the blade, improper control strategy or errors in sensor data. In this case, the PLC (programmable logic controller) as the control system of the wind turbine will receive a signal that the abnormal coefficient exceeds the standard. In order to ensure the safe operation of the wind turbine, PLC will adopt a strategy of reducing correction, that is, reducing the adjustment speed of the blade, in order to avoid mechanical damage or control instability that may be caused by continuing to adjust the blade quickly under abnormal conditions. At the same time, PLC will also update the corresponding data stored in the variable pitch database to record the abnormal situation and changes in the adjustment strategy, and provide a basis for subsequent analysis and optimization; on the contrary, when the adjustment process abnormality coefficient of a blade belonging to the wind turbine is less than the minimum value of the allowable range of the adjustment process abnormality coefficient, this indicates that the adjustment process of the blade is relatively stable and close to the expected state. In this case, in order to improve the operating efficiency and response speed of the wind turbine, PLC will adopt a strategy of expanding correction, that is, increasing the adjustment speed of the blade. By increasing the adjustment speed, the wind turbine can adapt to changes in external wind conditions more quickly, optimize the pitch angle of the blade to capture more wind energy, and thus improve the power generation efficiency. Similarly, PLC will also update the corresponding data stored in the variable pitch database to record the optimization process and results.

[0061] In a specific embodiment, the present invention can accurately monitor and evaluate the operating status of the wind turbine by quantifying the operating stability of the wind turbine at the second time point, and then correct the adjustment process at the next time point to ensure that the wind turbine does not exceed its own load under extreme conditions. This design effectively avoids overload, reduces the failure rate, and improves the safety and stability of the wind turbine. At the same time, through quantitative analysis of the operating stability, problems in the adjustment process can be discovered and solved in a timely manner, the adjustment strategy can be optimized, and the power generation efficiency and operating efficiency can be improved.

[0062] The process calibration module is used to collect and analyze the adjustment result parameters of the wind turbine, so as to determine whether to calibrate the adjustment process of the wind turbine.

[0063] Specifically, the determination of whether to calibrate the adjustment process of the wind turbine is carried out by the following specific analysis process: according to the adjustment result parameters of the wind turbine, the operation stability index of the wind turbine at the second time point is analyzed, and compared with the operation stability threshold; if the operation stability index of the wind turbine at the second time point is greater than or equal to the operation stability threshold, it is determined that the adjustment process of the wind turbine is not calibrated; if the operation stability index of the wind turbine at the second time point is less than the operation stability threshold, it is determined that the adjustment process of the wind turbine is calibrated; the above-mentioned operation stability threshold represents the minimum value of a reasonable range of the operation stability index, which is extracted from the variable pitch database.

[0064] Specifically, the analysis outputs the operating stability index of the wind turbine at the second time point, and the specific analysis process is: the adjustment result parameters of the wind turbine include the output power of the wind turbine at the second time point, the operating power of the wind turbine at the second time point, and the working pressure of the accumulator to which the wind turbine belongs at the second time point; the above-mentioned second time point refers to the end time point of the adjustment cycle; the above-mentioned output power refers to the electric power that the wind turbine can output at the second time point, which can be obtained from the data acquisition system equipped with the wind turbine; the above-mentioned working pressure refers to the pressure value corresponding to the pressure energy stored in the accumulator at the second time point, which can be obtained through a pressure sensor; the above-mentioned operating power refers to the power actually consumed by the wind turbine at the second time point, which can be obtained from the data acquisition system equipped with the wind turbine.

[0065] The reference output power of the wind turbine is obtained, and the difference is processed with the output power of the wind turbine at the second time point. The processing result is processed by ratio with the reference output power of the wind turbine, and finally the output power deviation rate of the wind turbine at the second time point is obtained; the reference output power of the wind turbine represents the reference value of the output power, which is extracted from the specification manual of the wind turbine; the output power deviation rate refers to the difference ratio between the output power and the reference output power.

[0066] The operating power of the wind turbine at the first time point is obtained, and the difference and absolute value processing are performed in turn with the operating power of the wind turbine at the second time point. The processing result is processed by ratio with the operating power of the wind turbine at the first time point, and finally the operating power change rate of the wind turbine at the second time point is obtained; the operating power of the wind turbine at the first time point refers to the power actually consumed by the wind turbine at the first time point, which is consistent with the operating power acquisition method of the wind turbine at the second time point; the operating power change rate is used to quantitatively evaluate the change in power consumption of the wind turbine during operation.

[0067] By introducing weight factors, the influence of abnormal assessment factors on the operation stability index, the influence of the abnormal coefficient of the adjustment process on the operation stability index, the influence of the output power deviation rate on the operation stability index, the influence of the deviation degree between the working pressure and the reference working pressure on the operation stability index, and the influence of the ratio between the operating power change rate and the defined operating power change rate on the operation stability index are quantified and coupled in sequence. Finally, the negative correlation between the coupling result and the operation stability index is quantified to obtain the operation stability index of the wind turbine at the second time point. The operation stability index of the wind turbine at the second time point represents quantitative data on the influence of the abnormal assessment factor, the abnormal coefficient of the adjustment process, the output power deviation rate, the working pressure and the operating power change rate on the operation stability of the wind turbine at the second time point, and is used to quantify the operation stability of the wind turbine at the second time point.

[0068] The operation stability index of the wind turbine at the second time point is specifically expressed as:

[0069]

[0070] In the formula, KO is the operation stability index of the wind turbine at the second time point, FAS is the abnormal assessment factor of the operating environment of the wind turbine at the first time point, 1 is the weight factor corresponding to the abnormal assessment factor preset in the pitch database, BM n is the abnormal coefficient of the adjustment process of the nth blade of the wind turbine, im 2 is the weight factor corresponding to the adjustment process abnormality coefficient preset in the pitch database, OPD is the output power deviation rate of the wind turbine at the second time point, PY is the working pressure of the accumulator of the wind turbine at the second time point, ΔPY is the reference working pressure preset in the pitch database, DY is the operating power change rate of the wind turbine at the second time point, J_DY is the defined operating power change rate preset in the pitch database, im 3 is the weight factor corresponding to the output power deviation rate preset in the pitch database, im 4 is the weight factor corresponding to the working pressure preset in the pitch database, im 5 It is the weight factor corresponding to the operating power change rate preset in the pitch database.

[0071] The above-mentioned reference working pressure indicates the reference value of the working pressure; the above-mentioned defined operating power change rate indicates the maximum allowable value of the operating power change rate.

[0072] The weight factor corresponding to the above-mentioned abnormal assessment factor is used to de-unitize the abnormal assessment factor, and indicates the numerical value of the influence of the unit value of the abnormal assessment factor on the operation stability index; the weight factor corresponding to the above-mentioned adjustment process abnormal coefficient is used to de-unitize the adjustment process abnormal coefficient, and indicates the numerical value of the influence of the unit value of the adjustment process abnormal coefficient on the operation stability index; the weight factor corresponding to the above-mentioned output power deviation rate is used to de-unitize the output power deviation rate, and indicates the numerical value of the influence of the unit value of the output power deviation rate on the operation stability index; the weight factor corresponding to the above-mentioned working pressure indicates the numerical value of the influence of the unit value of the working pressure on the operation stability index; the above-mentioned operating power change rate The corresponding weight factor represents the numerical value of the influence of the unit value of the operating power change rate on the operating stability index; the pitch database stores the correspondence between the abnormal assessment factor, the abnormal coefficient of the adjustment process, the output power deviation rate, the working pressure and the operating power change rate and their corresponding weight factors. For example, the abnormal assessment factor, the abnormal coefficient of the adjustment process, the output power deviation rate, the working pressure and the operating power change rate are input into the pitch database, and the pitch database can match the weight factor corresponding to the abnormal assessment factor, the weight factor corresponding to the abnormal coefficient of the adjustment process, the weight factor corresponding to the output power deviation rate, the weight factor corresponding to the working pressure and the weight factor corresponding to the operating power change rate, and the value range is between 0 and 1.

[0073] It should be explained that the abnormal assessment factor of the wind turbine operating environment at the first time point reflects the initial state of the wind turbine operating environment. The quality of this state directly affects the complexity and difficulty of the subsequent adjustment process of the wind turbine. When the abnormal assessment factor is high, it may cause the wind turbine to have a larger adjustment process abnormal coefficient during the adjustment process, that is, the instability of each blade of the wind turbine during the adjustment process increases. This instability may further lead to an increase in the output power deviation rate of the wind turbine at the second time point, which means that the gap between the actual output power of the wind turbine and the expected output power is widened. At the same time, the working pressure of the accumulator of the wind turbine at the second time point is used as the internal state of the wind turbine. One reflection is also affected by the above factors. The abnormal working pressure of the accumulator may be due to the unreasonable distribution or utilization of energy by the wind turbine during the adjustment process, which in turn affects the overall operating efficiency of the wind turbine. Finally, the operating power change rate of the wind turbine at the second time point comprehensively reflects the stability of the wind turbine's operating state after a series of adjustments. The increase in the operating power change rate often means that the wind turbine has experienced large fluctuations during operation, which may be caused by the adverse interaction between the parameters. In summary, these five parameters are interdependent and influence each other in the evaluation of the wind turbine operation stability index, and together constitute an important basis for evaluating the stability of wind turbine operation.

[0074] Furthermore, the adjustment process of the wind turbine is calibrated, and the specific calibration process is: performing difference processing on the operation stability threshold and the operation stability index of the wind turbine at the second time point, comparing the processing result with the operation stability threshold, and finally obtaining the operation stability deviation rate of the wind turbine at the second time point; the PLC matches the adjustment speed slowdown calibration factor from the pitch database according to the operation stability deviation rate of the wind turbine at the second time point, and calibrates the adjustment speed of each blade belonging to the next adjacent matched wind turbine according to the adjustment speed slowdown calibration factor; the above-mentioned operation stability deviation rate is used to quantify the degree of deviation between the operation stability index of the wind turbine at the second time point and the operation stability threshold; the above-mentioned adjustment speed slowdown calibration factor , which is used to quantitatively describe the degree of slowing down the adjustment speed of each blade of the wind turbine, that is, it indicates the ratio or degree of slowing down of the actual adjustment speed of the blade relative to the original set speed during the adjustment process. The specific matching process is: the adjustment speed slowing down calibration factor corresponding to each operation stable deviation rate interval is stored in the pitch database, and the operation stable deviation rate interval stored in the pitch database to which the operation stable deviation rate of the wind turbine at the second time point belongs is queried. The adjustment speed slowing down calibration factor corresponding to the interval is the adjustment speed slowing down calibration factor matched in this embodiment; in an example embodiment, the adjustment speed slowing down calibration factor is 20%, that is, the adjustment speed of each blade of the wind turbine matched next time is reduced by 20%.

[0075] In a specific embodiment, the present invention provides a PLC-based wind turbine pitch control master control system that can comprehensively optimize the operating efficiency and stability of the wind turbine. The system accurately collects environmental parameters of the operating environment of the wind turbine and obtains an accurate pitch control parameter set based on PLC analysis, and then sends a master control instruction to the wind turbine for adjustment. During this process, the adjustment process parameters of the wind turbine are monitored in real time, and possible deviations are discovered and corrected in time to ensure the accuracy and effectiveness of the adjustment process. At the same time, the adjustment result parameters of the wind turbine can be collected and analyzed to further determine whether the adjustment process needs to be calibrated, thereby achieving refined management of the wind turbine. This series of operations not only improves the operating efficiency of the wind turbine, but also significantly enhances its ability to cope with complex environments.

[0076] Reference Figure 2 As shown, the second aspect of the present invention provides a wind turbine pitch control master control method based on PLC, including: S1. Collecting environmental parameters of the operating environment of the wind turbine, obtaining a pitch control parameter set based on PLC analysis and sending a master control instruction, and the wind turbine receives the master control instruction and adjusts it; S2. Monitoring and obtaining the wind turbine adjustment process parameters, and determining whether to correct the wind turbine adjustment process; S3. Collecting and analyzing the adjustment result parameters of the wind turbine, so as to determine whether to calibrate the wind turbine adjustment process.

[0077] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. A PLC-based wind turbine pitch control system, characterized in that: include: The command sending module is used to collect environmental parameters of the operating environment of the wind turbine, obtain the pitch control parameter set based on PLC analysis and send the main control command. The wind turbine receives the main control command and makes adjustments. A process correction module is used to monitor and obtain wind turbine adjustment process parameters and determine whether to correct the wind turbine adjustment process; The process calibration module is used to collect and analyze the adjustment result parameters of the wind turbine, so as to determine whether to calibrate the adjustment process of the wind turbine.

2. According to the PLC-based wind turbine pitch control system of claim 1, it is characterized by: The analysis obtains the pitch control parameter set and sends the main control command. The specific analysis process is as follows: The environmental parameters of the operating environment of the wind turbine are collected, that is, the environmental parameters of the operating environment of the wind turbine are collected at a first time point, and marked as an environmental parameter set of the operating environment of the wind turbine at the first time point, and at the same time, according to the environmental parameter set of the operating environment of the wind turbine at the first time point, an abnormal assessment factor of the operating environment of the wind turbine at the first time point is analyzed; According to the environmental parameter set of the operating environment of the wind turbine at the first time point, similarity analysis is performed in turn with each historical environmental parameter set stored in the pitch control database, so as to obtain the pitch control parameter set corresponding to the historical environmental parameter set with the highest similarity, and mark it as the initial pitch control parameter set corresponding to the environmental parameter set; Obtain the abnormal assessment factor of the operating environment of the wind turbine corresponding to the historical environmental parameter set ranked first in similarity, and perform difference processing with the abnormal assessment factor of the operating environment of the wind turbine at the first time point to obtain the abnormal assessment factor deviation value of the operating environment of the wind turbine at the first time point, and match the parameter modification set from the pitch database; The initial pitch control parameter set and the parameter modification set corresponding to the environmental parameter set are integrated to obtain the pitch control parameter set corresponding to the environmental parameter set. According to the pitch control parameter set corresponding to the environmental parameter set, the PLC generates a master control instruction and sends it to the wind turbine. According to the abnormal evaluation factor of the operating environment of the wind turbine at the first time point, the adjustment speed of each blade of the wind turbine is matched from the pitch database. The wind turbine receives the main control instruction and adjusts according to the adjustment speed, specifically: If the adjustment speed of the blades belonging to the wind turbine is greater than or equal to the adjustment speed reference value, the blades belonging to the wind turbine adjust the adjustment speed of the blades belonging to the wind turbine according to the first scheme; If the adjustment speed of the blades belonging to the wind turbine is less than the adjustment speed reference value, the adjustment speed of the blades belonging to the wind turbine is adjusted according to the second solution.

3. According to the PLC-based wind turbine pitch control system of claim 2, it is characterized by: The abnormal evaluation factor of the operating environment of the wind turbine at the first time point, the specific analysis process is: According to the environmental parameter set of the operating environment of the wind turbine at the first time point, an abnormal assessment factor of the operating environment of the wind turbine at the first time point is analyzed, which is specifically obtained by comprehensive analysis of the turbulence intensity of the operating environment of the wind turbine at the first time point, the maximum wind shear value of the operating environment of the wind turbine at the first time point, and the wind speed gradient of the operating environment of the wind turbine at the first time point in the environmental parameter set, and is used to comprehensively quantify the abnormality degree of the operating environment of the wind turbine at the first time point; Among them, the specific comprehensive analysis process of the anomaly assessment factor is as follows: by introducing the influence value, the influence of turbulence intensity on the anomaly assessment factor, the influence of maximum wind shear value on the anomaly assessment factor and the influence of wind speed gradient on the anomaly assessment factor are quantified in turn, and then aggregated, and the aggregation results are amplified to finally obtain the anomaly assessment factor.

4. According to the PLC-based wind turbine pitch control system of claim 1, it is characterized by: The specific determination process of whether to correct the adjustment process of the wind turbine is as follows: According to the wind turbine adjustment process parameters, the adjustment process abnormality coefficient of each blade of the wind turbine is evaluated; The abnormal coefficient of the adjustment process is compared with the allowable range of the abnormal coefficient of the adjustment process. If the abnormal coefficient of the adjustment process of a blade of the wind turbine belongs to the allowable range of the abnormal coefficient of the adjustment process, it is determined that the adjustment process of the wind turbine is not to be corrected. If the abnormal coefficient of the adjustment process of a blade belonging to the wind turbine does not belong to the allowable interval of the abnormal coefficient of the adjustment process, it is determined that the adjustment process of the wind turbine is to be corrected.

5. A PLC-based wind turbine pitch control system according to claim 4, characterized in that: The adjustment process of the wind turbine is corrected, and the specific correction process is: If the abnormal coefficient of the adjustment process of a blade belonging to the wind turbine is greater than the maximum value of the allowable range of the abnormal coefficient of the adjustment process, the PLC will reduce the adjustment speed of the blade belonging to the wind turbine and update the corresponding data stored in the pitch database; If the adjustment process abnormality coefficient of a blade belonging to the wind turbine is less than the minimum value of the adjustment process abnormality coefficient allowable range, the PLC will increase and correct the adjustment speed of the blade belonging to the wind turbine and update the corresponding data stored in the pitch database.

6. According to the PLC-based wind turbine pitch control system of claim 4, it is characterized by: The abnormal coefficient of the adjustment process of each blade of the wind turbine is evaluated in the following specific process: The wind turbine adjustment process parameters include the torque-current ratio of each blade of the wind turbine at each moment in the adjustment cycle, the pitch angle change rate of each blade of the wind turbine at each moment in the adjustment cycle, and the vibration frequency of each blade of the wind turbine at each moment in the adjustment cycle; By coupling the influence data of the abnormal evaluation factor on the abnormal coefficient of the adjustment process, the influence data of the deviation degree between the torque-current ratio and the reference torque-current ratio on the abnormal coefficient of the adjustment process, the influence data of the deviation degree between the pitch angle change rate and the reference pitch angle change rate on the abnormal coefficient of the adjustment process, and the influence data of the ratio between the vibration frequency and the defined vibration frequency on the abnormal coefficient of the adjustment process, the abnormal coefficient of the adjustment process of each blade belonging to the wind generator is obtained. The abnormal coefficient of the adjustment process of each blade belonging to the wind generator represents the quantitative data of the influence degree of the abnormal evaluation factor of the operating environment of the wind generator at the first time point, the torque-current ratio, the pitch angle change rate and the vibration frequency of each blade belonging to the wind generator at each moment in the adjustment cycle on the abnormality of the pitch adjustment process of each blade belonging to the wind generator, and is used to quantify the abnormality degree of the pitch adjustment process of each blade belonging to the wind generator.

7. The PLC-based wind turbine pitch control system according to claim 1, characterized in that: The determination of whether to calibrate the adjustment process of the wind turbine is specifically analyzed as follows: According to the adjustment result parameters of the wind turbine, an operation stability index of the wind turbine at the second time point is analyzed and compared with the operation stability threshold value; If the operation stability index of the wind turbine at the second time point is greater than or equal to the operation stability threshold, it is determined that the adjustment process of the wind turbine is not calibrated; If the operation stability index of the wind turbine at the second time point is less than the operation stability threshold, it is determined that the adjustment process of the wind turbine is to be calibrated.

8. The PLC-based wind turbine pitch control system according to claim 7, characterized in that: The adjustment process of the wind turbine is calibrated, and the specific calibration process is as follows: Perform difference processing on the operation stability threshold and the operation stability index of the wind turbine at the second time point, compare the processing result with the operation stability threshold, and finally obtain the operation stability deviation rate of the wind turbine at the second time point; The PLC matches the adjustment speed reduction calibration factor from the pitch database according to the operation stability deviation rate of the wind turbine at the second time point, and calibrates the adjustment speed of each blade belonging to the next adjacent matched wind turbine according to the adjustment speed reduction calibration factor.

9. The PLC-based wind turbine pitch control system according to claim 7, characterized in that: The operation stability index of the wind turbine at the second time point is analyzed, and the specific analysis process is as follows: The adjustment result parameters of the wind turbine include the output power of the wind turbine at the second time point, the operating power of the wind turbine at the second time point, and the working pressure of the accumulator of the wind turbine at the second time point; Obtain the reference output power of the wind turbine, perform difference processing on the output power of the wind turbine at the second time point, perform ratio processing on the processing result and the reference output power of the wind turbine, and finally obtain the output power deviation rate of the wind turbine at the second time point; Obtain the operating power of the wind turbine at the first time point, and perform difference and absolute value processing on the operating power of the wind turbine at the second time point in turn, perform ratio processing on the processing result and the operating power of the wind turbine at the first time point, and finally obtain the operating power change rate of the wind turbine at the second time point; By introducing weight factors, the influence of abnormal assessment factors on the operation stability index, the influence of the abnormal coefficient of the adjustment process on the operation stability index, the influence of the output power deviation rate on the operation stability index, the influence of the deviation degree between the working pressure and the reference working pressure on the operation stability index, and the influence of the ratio between the operating power change rate and the defined operating power change rate on the operation stability index are quantified and coupled in sequence. Finally, the negative correlation between the coupling result and the operation stability index is quantified to obtain the operation stability index of the wind turbine at the second time point. The operation stability index of the wind turbine at the second time point represents quantitative data on the influence of the abnormal assessment factor, the abnormal coefficient of the adjustment process, the output power deviation rate, the working pressure and the operating power change rate on the operation stability of the wind turbine at the second time point, and is used to quantify the operation stability of the wind turbine at the second time point.

10. A method for a wind turbine pitch control system based on PLC as claimed in any one of claims 1 to 9, characterized in that: include: S1. Collect environmental parameters of the operating environment of the wind turbine, obtain the pitch control parameter set based on PLC analysis and send the main control command, and the wind turbine receives the main control command and makes adjustments; S2. Monitor and obtain wind turbine adjustment process parameters, and determine whether to correct the wind turbine adjustment process; S3. Collect and analyze the adjustment result parameters of the wind turbine, so as to determine whether to calibrate the adjustment process of the wind turbine.

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