Wind power generation method and system based on intelligent variable pitch control

Abstract

The invention relates to the technical field of wind power generation, in particular to a wind power generation method and system based on intelligent variable pitch control, and the method comprises the steps: confirming a wind outlet motor and a wind power regulation and control mechanism, obtaining multiple groups of historical data, extracting multiple historical wind speeds and multiple historical wind directions from the multiple groups of historical data, calculating the wind speed stability according to the multiple historical wind speeds, the wind direction concentration ratio is determined based on multiple historical wind directions, the wind energy conversion efficiency is determined based on wind blades, historical wind speeds, historical main shaft rotating speeds and historical generated power, the current wind speed is obtained through a wind speed sensor, the current pitch angle, the current rotating speed and the generated power are obtained, and the stress influence index is determined based on the wind blades and a force sensor. A temperature influence index is determined based on the temperature sensor and the main shaft, a target pitch angle is obtained, and intelligent pitch control is completed based on the target pitch angle and the pitch control device. The intelligent degree of variable pitch of the wind turbine can be improved, and then the power generation efficiency of the wind turbine is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of wind power generation, and in particular to a wind power generation method and system based on intelligent pitch control. Background Art

[0002] With the development of the energy industry, wind turbines, as the primary equipment for wind power generation, have become increasingly efficient. Their power generation efficiency depends largely on the blades' ability to absorb and convert wind energy. To achieve efficient wind energy utilization, wind turbines are typically equipped with variable pitch devices, which adjust the blade pitch angle according to wind speed changes to maintain optimal aerodynamic performance.

[0003] Currently, common pitch control methods are mostly based on fixed models or preset rules, and usually only consider single variables such as current wind speed or main shaft speed.

[0004] Although the above method can achieve variable pitch control of wind turbines, in actual operation, wind conditions are often highly uncertain and unstable. Traditional variable pitch control methods are difficult to achieve precise adjustment of the pitch angle in a dynamic environment. They ignore the impact of wind speed fluctuations, wind direction changes, equipment operating status (such as blade force, main shaft temperature), etc. on system operation, resulting in reduced wind energy utilization and non-uniform loads on key components such as blades and main shafts, thereby accelerating equipment fatigue damage and affecting the stable operation of the system. Therefore, how to improve the intelligence level of wind turbine pitch control and thereby improve the power generation efficiency of wind turbines has become an urgent problem to be solved. Summary of the Invention

[0005] The present invention provides a wind power generation method based on intelligent pitch control and a computer-readable storage medium, the main purpose of which is to improve the intelligence level of wind turbine pitch control and thereby improve the power generation efficiency of the wind turbine.

[0006] To achieve the above objectives, the present invention provides a wind power generation method based on intelligent pitch control, comprising:

[0007] Identify the wind turbine and wind control mechanism, where the wind control mechanism includes: wind speed sensor, force sensor and temperature sensor; the wind turbine includes: wind blades, pitch device and main shaft;

[0008] Acquire multiple sets of historical data, including historical wind speed, historical wind direction, historical main shaft speed, and historical power generation;

[0009] Extract multiple historical wind speeds and multiple historical wind directions from multiple sets of historical data;

[0010] Calculate wind speed stability based on multiple historical wind speeds, and confirm wind direction concentration based on multiple historical wind directions;

[0011] Determine wind energy conversion efficiency based on wind blades, historical wind speed, historical main shaft speed, and historical power generation;

[0012] Use the wind speed sensor to obtain the current wind speed, current pitch angle, current speed and power generation;

[0013] Determine the real-time wind energy conversion efficiency based on wind blades, current wind speed, current rotation speed, and power generation;

[0014] The force impact index is determined based on the wind blade and the force sensor, and the temperature impact index is determined based on the temperature sensor and the main shaft;

[0015] Input wind speed stability, wind direction concentration, wind energy conversion efficiency, real-time wind energy conversion efficiency, current pitch angle, force influence index, and temperature influence index into the pre-built intelligent variable pitch model to obtain the target pitch angle;

[0016] Intelligent pitch control is achieved based on the target pitch angle and the pitch device.

[0017] Optionally, the wind speed stability calculation formula is as follows:

[0018]

[0019] Where VI represents the wind speed stability, n is the number of historical data in multiple sets of historical data, U i Represents the i-th historical wind speed among multiple historical wind speeds.

[0020] Optionally, determining the wind direction concentration based on multiple historical wind directions includes:

[0021] For each of the multiple historical wind directions, perform the following operations:

[0022] Convert the historical wind direction into arc to obtain the wind direction arc value;

[0023] Summarize the wind direction arc values ​​to obtain multiple wind direction arc values;

[0024] Calculates wind direction concentration based on multiple wind direction arc values.

[0025] Optionally, determining the wind energy conversion efficiency based on wind blades, historical wind speed, historical main shaft speed, and historical power generation power includes:

[0026] To determine the blade radius of a wind turbine blade, perform the following operations on each of multiple sets of historical data:

[0027] Calculate the tip speed ratio based on the historical wind speed in the historical data, the historical main shaft speed in the historical data, and the blade radius;

[0028] Calculate the power coefficient based on the historical generated power, the historical wind speed, the blade radius and the tip speed ratio in the historical data;

[0029] Summarizing the tip speed ratios to obtain a plurality of tip speed ratios, and determining an average tip speed ratio based on the plurality of tip speed ratios, wherein the average tip speed ratio is an average of the plurality of tip speed ratios;

[0030] Summarizing the power coefficients to obtain multiple power coefficients, and determining an average power coefficient based on the multiple power factors, wherein the average power coefficient is an average of the multiple power coefficients;

[0031] The wind energy conversion efficiency is calculated based on the average tip speed ratio and the average power coefficient.

[0032] Optionally, determining the force impact index based on the wind blade and the force sensor includes:

[0033] Acquire multiple historical force data of the wind blade, wherein the historical force data includes: historical axial stress, historical radial stress and historical bending moment;

[0034] Extract multiple historical axial stresses, multiple historical radial stresses and multiple historical bending moments from multiple historical stress data;

[0035] Determine an axial stress weight, a radial stress weight, and a bending moment weight based on a plurality of historical axial stresses, a plurality of historical radial stresses, and a plurality of historical bending moments;

[0036] The force influence index is determined based on the wind blade, force sensor, axial stress weight, radial stress weight and bending moment weight.

[0037] Optionally, determining the axial stress weight, the radial stress weight, and the bending moment weight based on the multiple historical axial stresses, the multiple historical radial stresses, and the multiple historical bending moments includes:

[0038] Calculate the standard deviation of axial stress based on multiple historical axial stresses;

[0039] Determine the radial stress standard deviation based on multiple historical radial stresses, and determine the bending moment standard deviation based on multiple historical bending moments;

[0040] The axial stress weight, radial stress weight and bending moment weight are calculated based on the axial stress standard deviation, radial stress standard deviation and bending moment standard deviation.

[0041] Optionally, determining the force influence index based on the wind blade, the force sensor, the axial stress weight, the radial stress weight, and the bending moment weight includes:

[0042] Acquiring allowable stress data of the wind blade, wherein the allowable stress data includes: allowable axial stress, allowable radial stress, and allowable bending moment;

[0043] The force sensor is used to monitor the force of the wind blade to obtain force data, wherein the force data includes: current axial stress, current radial stress and current bending moment;

[0044] The force influence index is calculated based on the allowable axial stress, allowable radial stress, allowable bending moment, current axial stress, current radial stress, current bending moment, axial stress weight, radial stress weight, and bending moment weight.

[0045] Optionally, determining the temperature impact index based on the temperature sensor and the spindle includes:

[0046] Use the temperature sensor to monitor the temperature of the spindle and obtain the spindle temperature;

[0047] Calculate the temperature impact index based on the spindle temperature.

[0048] Optionally, the intelligent pitch control model is as follows:

[0049]

[0050] Among them, θ represents the intelligent pitch model, ω T represents the temperature impact index, η represents the wind energy conversion efficiency, R represents the wind direction concentration, θ0 represents the current blade pitch angle, η s represents the real-time wind energy conversion efficiency, ω σ Represents the force influence index, θ max With the preset maximum blade pitch angle, ω T represents the temperature influence index, and tanh is the hyperbolic tangent function.

[0051] To achieve the above objectives, the present invention further provides a wind power generation system based on intelligent pitch control, comprising:

[0052] The basic equipment acquisition module is used to confirm the wind turbine and wind control mechanism, wherein the wind control mechanism includes: wind speed sensor, force sensor and temperature sensor; the wind turbine includes: wind blades, pitch device and main shaft;

[0053] A historical data analysis module is used to obtain multiple sets of historical data, where the historical data includes historical wind speed, historical wind direction, historical main shaft speed, and historical power generation. Multiple historical wind speeds and multiple historical wind directions are extracted from the multiple sets of historical data. Wind speed stability is calculated based on the multiple historical wind speeds. Wind direction concentration is determined based on the multiple historical wind directions. Wind energy conversion efficiency is determined based on wind blades, historical wind speed, historical main shaft speed, and historical power generation.

[0054] The real-time data monitoring module is used to obtain the current wind speed, current blade pitch angle, current rotational speed and power generation using a wind speed sensor, and to determine the real-time wind energy conversion efficiency based on the wind blades, current wind speed, current rotational speed and power generation; to determine the force influence index based on the wind blades and force sensor, and to determine the temperature influence index based on the temperature sensor and main shaft;

[0055] The intelligent calculation pitch control module is used to input wind speed stability, wind direction concentration, wind energy conversion efficiency, real-time wind energy conversion efficiency, current pitch angle, force influence index and temperature influence index into a pre-built intelligent pitch control model to obtain the target pitch angle, and complete intelligent pitch control based on the target pitch angle and pitch control device.

[0056] In order to solve the above problem, the present invention further provides an electronic device, comprising:

[0057] a memory storing at least one instruction; and

[0058] The processor executes the instructions stored in the memory to implement the wind power generation method based on intelligent pitch control.

[0059] In order to solve the above problems, the present invention also provides a computer-readable storage medium, which stores at least one instruction, and the at least one instruction is executed by a processor in an electronic device to implement the above-mentioned wind power generation method based on intelligent pitch control.

[0060] The present invention is to solve the problems described in the background technology. The present invention confirms the wind motor and the wind control mechanism, wherein the wind control mechanism includes: a wind speed sensor, a force sensor and a temperature sensor, and the wind motor includes: a wind blade, a pitch device and a main shaft. It can be seen that the embodiment of the present invention confirms in advance the wind control mechanism integrated with the wind speed sensor, the force sensor and the temperature sensor, which is convenient for subsequent acquisition of wind speed, wind blade force data and temperature, and confirms in advance the wind motor integrated with the wind blade, the pitch device and the main shaft, which is convenient for subsequent use of the wind monitoring mechanism to monitor the wind blade force data and the main shaft temperature, and is convenient for using the pitch device to adjust the blade pitch angle in real time, thereby improving the intelligence level of the wind motor pitch, and then obtaining multiple sets of historical data, wherein the historical The data includes: historical wind speed, historical wind direction, historical main shaft speed and historical power generation. It can be seen that the embodiment of the present invention obtains historical wind speed, historical wind direction, historical main shaft speed and historical power generation, and the historical data reflects the relevant data of the wind turbine in the historical operation process. By analyzing the historical data, the historical operation status can be effectively evaluated, so as to calculate the wind speed stability, wind direction concentration and wind energy conversion efficiency. Multiple historical wind speeds and multiple historical wind directions are extracted from multiple groups of historical data, the wind speed stability is calculated based on the multiple historical wind speeds, and the wind direction concentration is confirmed based on the multiple historical wind directions. It can be seen that the embodiment of the present invention extracts multiple historical wind speeds and multiple historical wind directions from multiple groups of historical data. Since multiple historical wind speeds and multiple historical wind directions can reflect The overall wind level of the wind turbine installation area is reflected, so that the wind speed stability and wind direction concentration are calculated according to multiple historical wind speeds and multiple historical wind directions, which is convenient for the subsequent calculation of the target blade pitch angle, and the wind energy conversion efficiency is confirmed based on the wind blades, historical wind speeds, historical main shaft speeds and historical power generation power. It can be seen that the embodiment of the present invention calculates the average wind energy conversion efficiency of the wind turbine in the history of operation according to historical data, which is convenient for the subsequent comparison of the real-time wind energy conversion efficiency with the wind energy conversion efficiency, so as to facilitate the subsequent precise adjustment of the blade pitch angle according to the difference between the real-time wind energy conversion efficiency and the wind energy conversion efficiency, and uses the wind speed sensor to obtain the current wind speed, the current blade pitch angle, the current speed and the power generation power. It can be seen that the embodiment of the present invention obtains the current wind speed, the current blade pitch angle and the current speed by implementing The generated power is convenient for the subsequent calculation and implementation of wind energy conversion efficiency and target pitch angle. The real-time wind energy conversion efficiency is confirmed based on the wind blades, current wind speed, current rotation speed and generated power. It can be seen that the embodiment of the present invention calculates the real-time wind energy conversion efficiency and then compares it with the wind energy conversion efficiency, thereby obtaining the degree of difference between the current operating state and the average operating state of the wind turbine, thereby improving the intelligence level of wind turbine pitch control. The force influence index is confirmed based on the wind blades and the force sensor, and the temperature influence index is confirmed based on the temperature sensor and the main shaft. It can be seen that the embodiment of the present invention obtains the real-time force data of the wind blades by using the force sensor, and then confirms the force influence index, obtains the surface temperature of the main shaft in real time by the temperature sensor, and then calculates the temperature influence index.To facilitate the subsequent calculation of the pitch angle, the wind speed stability, wind direction concentration, wind energy conversion efficiency, real-time wind energy conversion efficiency, current pitch angle, force influence index and temperature influence index are input into the pre-built intelligent pitch model to obtain the target pitch angle. It can be seen that the embodiment of the present invention calculates the target pitch angle through the pre-built intelligent pitch model, thereby improving the intelligence level of wind turbine pitch control, and completes intelligent pitch control based on the target pitch angle and the pitch device. It can be seen that the embodiment of the present invention fits the wind speed stability, wind direction concentration, wind energy conversion efficiency, real-time wind energy conversion efficiency, current pitch angle, force influence index and temperature influence index through the intelligent pitch model, intelligently calculates the target pitch angle that matches the current wind state, completes the precise control of intelligent pitch control, improves the intelligence level of wind turbine pitch control, and further improves the power generation efficiency of the wind turbine. Therefore, the present invention can improve the intelligence level of wind turbine pitch control, thereby improving the power generation efficiency of the wind turbine. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 A schematic flow chart of a wind power generation method based on intelligent pitch control provided by one embodiment of the present invention;

[0062] Figure 2 A functional module diagram of a wind power generation system based on intelligent pitch control provided by one embodiment of the present invention;

[0063] Figure 3 A schematic structural diagram of an electronic device for implementing the wind power generation method based on intelligent pitch control provided in one embodiment of the present invention.

[0064] Description of reference numerals:

[0065] 1. Electronic device; 10. Processor; 11. Storage; 12. Bus.

[0066] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0067] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0068] The embodiments of the present application provide a wind power generation method based on intelligent pitch control. The execution subject of the wind power generation method based on intelligent pitch control includes, but is not limited to, at least one of electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiments of the present application. In other words, the wind power generation method based on intelligent pitch control can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes, but is not limited to: a single server, a server cluster, a cloud server, or a cloud server cluster.

[0069] Reference Figure 1 FIG2 is a flow chart of a wind power generation method based on intelligent pitch control according to an embodiment of the present invention. In this embodiment, the wind power generation method based on intelligent pitch control includes:

[0070] S1. Confirm the wind turbine and wind control mechanism. The wind control mechanism includes a wind speed sensor, a force sensor, and a temperature sensor. The wind turbine includes wind blades, a pitch device, and a main shaft.

[0071] It should be explained that a wind turbine is a wind generator, and the wind control mechanism is a device that integrates a wind speed sensor, a force sensor and a temperature sensor, and is used to obtain the wind speed, the stress state of the wind blades and the main shaft temperature in real time. Among them, the wind speed sensor is an ultrasonic wind speed and direction sensor, which is used to detect the changes in external wind speed in real time and provide wind speed information. The wind speed sensor is pre-installed on the wind turbine hub. Optionally, the Fengtu FT-WQX2 ultrasonic wind speed and direction meter can be used as the wind speed sensor. The force sensor is a multi-component sensor bolted between the flange at the root of the wind blade and the wind turbine hub. It monitors three components of wind force: 1. The component of the stress generated along the length of the blade (i.e., the blade axis) when the wind acts on the blade, i.e., tensile or compressive stress; 2. The component of the stress generated on the blade cross-section when the wind acts on the blade, i.e., radial stress; 3. The component of the stress generated at the root of the blade, resulting in a bending effect on the root section of the blade, i.e., bending moment. Optionally, an HBM MCS10 force sensor can be used. A temperature sensor is used to measure the surface temperature of the main shaft and is pre-installed on the main shaft of the wind turbine. A wind blade is a wind turbine blade. A pitch mechanism is a device used to adjust the angle between the wind blade and the incoming wind. The main shaft is the main shaft of the wind turbine and is the core component for transmitting torque in a wind turbine.

[0072] S2. Acquire multiple sets of historical data, wherein the historical data includes: historical wind speed, historical wind direction, historical main shaft speed, and historical power generation power.

[0073] It should be explained that historical data refers to the data recorded during the operation of the wind turbine in the past, and the historical data includes: historical wind speed, historical wind direction, historical main shaft speed and historical power generation. Historical wind speed refers to the wind speed monitored and recorded by the wind speed sensor during the operation of the wind turbine in the past period of time. Historical wind direction refers to the wind direction monitored and recorded by the wind speed sensor during the operation of the wind turbine in the past period of time. Historical power generation refers to the power generated by the wind turbine during the operation of the wind turbine in the past period of time. Optionally, the past period of time refers to the past 10 days. The historical wind speed, historical wind direction, historical main shaft speed and historical power generation are all obtained from the wind turbine operation log.

[0074] It is understood that historical wind direction is collected by a wind speed sensor pre-installed on the wind turbine hub and recorded in the wind turbine operation log. The wind direction angle collected by the wind speed sensor is recorded based on a pre-constructed wind direction polar coordinate system. This wind direction polar coordinate system uses the wind turbine's center of gravity as the pole, with the direction from due south to due north as the polar axis's positive direction, and polar angles measured counterclockwise from the polar axis. For example, if the collected wind is due west, the wind direction at that time is 90°.

[0075] S3. Extract multiple historical wind speeds and multiple historical wind directions from multiple sets of historical data, calculate wind speed stability based on the multiple historical wind speeds, and confirm wind direction concentration based on the multiple historical wind directions.

[0076] For example, if multiple groups of historical data are: the first group (15m / s, 60°, 15rpm, 1.5MW), the second group (20m / s, 30°, 18rpm, 1.3MW), the third group (25m / s, 90°, 16rpm, 1.2MW), and the fourth group (30m / s, 110°, 20rpm, 1.5MW), then after extracting multiple historical wind speeds and multiple historical wind directions from the multiple groups of historical data, multiple historical wind speeds are obtained, namely (15m / s, 20m / s, 25m / s, 30m / s) and multiple historical wind directions are obtained, namely (60°, 30°, 90°, 110°).

[0077] In detail, the wind speed stability calculation formula is as follows:

[0078]

[0079] Where VI represents the wind speed stability, n is the number of historical data in multiple sets of historical data, U i Represents the i-th historical wind speed among multiple historical wind speeds.

[0080] It should be explained that wind speed stability reflects the degree of wind speed fluctuation. The greater the wind speed stability, the smaller the wind speed fluctuation.

[0081] Specifically, determining the wind direction concentration based on multiple historical wind directions includes:

[0082] For each of the multiple historical wind directions, perform the following operations:

[0083] Convert the historical wind direction into arc to obtain the wind direction arc value;

[0084] Summarize the wind direction arc values ​​to obtain multiple wind direction arc values;

[0085] The wind direction concentration is calculated based on multiple wind direction arc values. The calculation formula is as follows:

[0086]

[0087] Among them, R represents the wind direction concentration, Represents the i-th wind direction radian value among multiple wind direction radian values, cos represents the cosine function, and sin represents the sine function.

[0088] It should be explained that the conversion of historical wind directions into radians refers to converting the wind direction value expressed in angle (°) into a value expressed in radians (rad). The wind direction radian value refers to the historical wind direction expressed in radians (rad). The wind direction concentration reflects the consistency of multiple historical wind directions. The greater the wind direction concentration, the higher the consistency of multiple historical wind directions.

[0089] For example, if the historical wind direction is 30°, the wind direction arc value obtained by converting the historical wind direction into arc is

[0090] S4. Determine the wind energy conversion efficiency based on the wind blades, historical wind speed, historical main shaft speed, and historical power generation.

[0091] Specifically, determining the wind energy conversion efficiency based on wind blades, historical wind speed, historical main shaft speed, and historical power generation includes:

[0092] To determine the blade radius of a wind turbine blade, perform the following operations on each of multiple sets of historical data:

[0093] The tip speed ratio is calculated based on the historical wind speed, historical main shaft speed and blade radius in the historical data. The calculation formula is as follows:

[0094]

[0095] Where λ represents the tip speed ratio, z represents the historical spindle speed, R represents the blade radius, and V represents the historical wind speed;

[0096] The power coefficient is calculated based on the historical power generation, historical wind speed, blade radius, and tip speed ratio in the historical data. The calculation formula is as follows:

[0097]

[0098] Among them, C p represents the power coefficient, P represents the historical power generation, and ρ is the preset air density;

[0099] Summarizing the tip speed ratios to obtain a plurality of tip speed ratios, and determining an average tip speed ratio based on the plurality of tip speed ratios, wherein the average tip speed ratio is an average of the plurality of tip speed ratios;

[0100] Summarizing the power coefficients to obtain multiple power coefficients, and determining an average power coefficient based on the multiple power factors, wherein the average power coefficient is an average of the multiple power coefficients;

[0101] The wind energy conversion efficiency is calculated based on the average tip speed ratio and the average power coefficient. The calculation formula is as follows:

[0102]

[0103] Where η represents the wind energy conversion efficiency, represents the average power, represents the average tip speed ratio.

[0104] It should be explained that blade radius refers to the radius of the wind turbine blade, and tip speed ratio refers to the ratio of the linear velocity of the blade tip to the wind speed blowing toward the blade. Wind energy conversion efficiency reflects the wind turbine's ability to effectively convert wind energy into electrical energy. The higher the wind energy conversion efficiency, the greater the wind turbine's ability to effectively convert wind energy into electrical energy.

[0105] It is understandable that the embodiment of the present invention calculates the wind energy conversion efficiency by the average tip speed ratio and the average power coefficient, thereby normalizing the output capacity of the wind turbine under different historical operating conditions and effectively evaluating the aerodynamic design level, operation control performance and power response capability of the wind turbine. The air density is 1.29Kg / m 3 .

[0106] S5. Use the wind speed sensor to obtain the current wind speed, current blade pitch angle, current rotation speed and generated power.

[0107] It should be explained that the use of a wind speed sensor to obtain the current wind speed refers to: using a wind speed sensor pre-installed on the wind turbine hub to monitor the wind speed at the wind turbine hub, and the technology of using a wind speed sensor to obtain the current wind speed is existing technology and will not be described here. The current pitch angle refers to the rotation angle of the wind blades relative to the wind direction during the current operation of the wind turbine. The current speed refers to the speed of the main shaft of the wind turbine during the current operation. The generated power refers to the actual electrical power output by the wind turbine during the current operation of the wind turbine. And the current pitch angle, current speed and generated power are all read from the control system of the wind turbine.

[0108] S6. Determine the real-time wind energy conversion efficiency based on the wind blades, current wind speed, current rotation speed, and power generation power; determine the force impact index based on the wind blades and force sensors; and determine the temperature impact index based on the temperature sensor and main shaft.

[0109] It should be understood that the method for confirming the real-time wind energy conversion efficiency based on wind blades, current wind speed, current rotation speed, and power generation power is the same as the method for confirming the wind energy conversion efficiency based on wind blades, historical wind speed, historical main shaft rotation speed, and historical power generation power, and will not be repeated here.

[0110] In detail, the force impact index determined based on the wind blade and the force sensor includes:

[0111] Acquire multiple historical force data of the wind blade, wherein the historical force data includes: historical axial stress, historical radial stress and historical bending moment;

[0112] Extract multiple historical axial stresses, multiple historical radial stresses and multiple historical bending moments from multiple historical stress data;

[0113] Determine an axial stress weight, a radial stress weight, and a bending moment weight based on a plurality of historical axial stresses, a plurality of historical radial stresses, and a plurality of historical bending moments;

[0114] The force influence index is determined based on the wind blade, force sensor, axial stress weight, radial stress weight and bending moment weight.

[0115] It should be explained that historical force data refers to the force conditions recorded during the historical operation of the wind turbine, and historical force data includes historical axial stress, historical radial stress, and historical bending moment. Historical axial stress refers to the tensile or compressive stress generated by wind acting on the wind blades during the historical operation of the wind turbine. It is mainly caused by the thrust of the wind transmitted along the wind blades and is used to reflect the longitudinal force state of the blades. Historical radial stress refers to the radial stress generated by wind acting on the wind blades during the historical operation of the wind turbine. It is mainly caused by the centrifugal force and crosswind load generated during rotation and is used to assess the lateral force state and rotational stability of the blades. Historical bending moment refers to the bending moment generated by wind acting on the wind blades during the historical operation of the wind turbine. It reflects the lever effect caused by the uneven distribution of wind pressure along the length of the blade and is an important parameter for determining blade fatigue damage and structural stability. The historical axial stress, historical radial stress, and historical bending moment are all monitored, recorded, and stored by force sensors pre-installed between the root flange and the hub of the wind blade. Since all wind loads (thrust, shear, bending moment, etc.) borne by wind blades during operation are transmitted along the wind blade structure to the root flange and then transmitted to the main shaft through the hub, the connection area between the wind blade root flange and the hub is the concentrated area of ​​force on the entire wind rotor. Therefore, force sensors are installed in the connection area between the wind blade root flange and the hub to monitor and record the force status of the wind blade.

[0116] For example, if multiple groups of historical force data are: the first group (2Mpa, 3Mpa, 4N·m), the second group (5Mpa, 5Mpa, 7N·m), the third group (1Mpa, 3Mpa, 4N·m), and the fourth group (2Mpa, 7Mpa, 9N·m), then after extracting multiple historical axial stresses, multiple historical radial stresses, and multiple historical bending moments from the multiple groups of historical force data, the multiple historical axial stresses are (2Mpa, 5Mpa, 1Mpa, 2Mpa), the multiple historical radial stresses are (3Mpa, 5Mpa, 3Mpa, 7Mpa), and the multiple historical bending moments are (4N·m, 7N·m, 4N·m, 9N·m).

[0117] Specifically, determining the axial stress weight, radial stress weight, and bending moment weight based on multiple historical axial stresses, multiple historical radial stresses, and multiple historical bending moments includes:

[0118] The standard deviation of the axial stress is calculated based on multiple historical axial stresses. The calculation formula is as follows:

[0119]

[0120] Among them, S1 represents the standard deviation of axial stress, k is the number of historical stress data in multiple historical stress data, σ iRepresents the i-th axial stress in multiple historical stress data;

[0121] Determine the radial stress standard deviation based on multiple historical radial stresses, and determine the bending moment standard deviation based on multiple historical bending moments;

[0122] The axial stress weight, radial stress weight and bending moment weight are calculated based on the axial stress standard deviation, radial stress standard deviation and bending moment standard deviation.

[0123] In detail, the calculation formula of the axial stress weight is as follows:

[0124]

[0125] Among them, α1 represents the axial stress weight, S2 represents the radial stress standard deviation, and S3 represents the bending moment standard deviation.

[0126] In detail, the calculation formula of the radial stress weight is as follows:

[0127]

[0128] Where α2 represents the radial stress weight.

[0129] In detail, the calculation formula of the bending moment weight is as follows:

[0130]

[0131] Wherein, α3 represents the bending moment weight.

[0132] It should be explained that the axial stress standard deviation reflects the degree of dispersion of multiple historical axial stress values. The larger the axial stress standard deviation, the greater the dispersion of multiple historical axial stress values. The radial stress standard deviation reflects the degree of dispersion of multiple historical radial stress values. The larger the radial stress standard deviation, the greater the dispersion of multiple historical radial stress values. The bending moment standard deviation reflects the degree of dispersion of multiple historical bending moment values. The larger the bending moment standard deviation, the greater the dispersion of multiple historical bending moment values. The axial stress weight refers to the proportion of axial stress fluctuations in the total axial stress, radial stress, and bending moment. The radial stress weight refers to the proportion of radial stress fluctuations in the total axial stress, radial stress, and bending moment. The bending moment weight refers to the proportion of bending moment fluctuations in the total axial stress, radial stress, and bending moment.

[0133] It should be understood that the method for determining the radial stress standard deviation based on multiple historical radial stresses and the method for determining the bending moment standard deviation based on multiple historical bending moments are the same as the method for calculating the axial stress standard deviation based on multiple historical axial stresses, and will not be repeated here.

[0134] In detail, the force influence index determined based on the wind blade, the force sensor, the axial stress weight, the radial stress weight, and the bending moment weight includes:

[0135] Acquiring allowable stress data of the wind blade, wherein the allowable stress data includes: allowable axial stress, allowable radial stress, and allowable bending moment;

[0136] The force sensor is used to monitor the force of the wind blade to obtain force data, wherein the force data includes: current axial stress, current radial stress and current bending moment;

[0137] The force influence index is calculated based on the allowable axial stress, allowable radial stress, allowable bending moment, current axial stress, current radial stress, current bending moment, axial stress weight, radial stress weight, and bending moment weight. The calculation formula is as follows:

[0138]

[0139] Among them, ω σ Represents the force influence index, σ X represents the allowable axial stress, σ x represents the current axial stress, σ Y represents the allowable radial stress, σ y Indicates the current radial stress, M indicates the allowable bending moment, and m indicates the current bending moment.

[0140] It should be explained that the obtaining of the allowable stress data of the wind blade refers to: obtaining the allowable stress data of the wind blade from the technical manual provided by the wind blade manufacturer, and the allowable stress data includes: allowable axial stress, allowable radial stress and allowable bending moment. Allowable axial stress refers to the maximum safe stress that the wind blade can withstand along its length direction (main axis direction). Exceeding this value may cause material yielding, fracture or structural instability. Allowable radial stress refers to the upper limit of the stress distributed radially from the root to the tip of the wind blade, which is mainly used to evaluate the blade's resistance to fracture under centrifugal force or lateral wind pressure. Allowable bending moment is the maximum safe bending moment that the wind blade can withstand under the action of external forces such as wind and gravity. Exceeding this value may cause permanent deformation or fracture.

[0141] It can be understood that the use of force sensors to monitor the force of wind blades means: using force sensors to monitor the stress at the root flange of the wind blades, and the force data is the stress data at the root flange of the wind blades, and the force data includes: current axial stress, current radial stress and current bending moment.

[0142] Current axial stress refers to the tensile or compressive stress generated by wind acting on the wind blades during the current operation of the wind turbine. This stress is primarily caused by the thrust of the wind transmitted along the blades and is used to reflect the longitudinal stress state of the blades. Current radial stress refers to the radial stress generated by wind acting on the blades during the current operation of the wind turbine. This stress is primarily caused by the centrifugal force and crosswind loads generated during rotation and is used to assess the lateral stress state and rotational stability of the blades. Current bending moment refers to the bending moment generated by wind acting on the blades during the current operation of the wind turbine. This reflects the lever effect caused by the uneven distribution of wind pressure along the length of the blades and is an important parameter for determining blade fatigue damage and structural stability. The force influence index reflects the safety of the wind blade's current operating state under wind pressure. The larger the force influence index, the less safe the operating state under wind pressure.

[0143] In detail, determining the temperature impact index based on the temperature sensor and the spindle includes:

[0144] Use the temperature sensor to monitor the temperature of the spindle and obtain the spindle temperature;

[0145] The temperature impact index is calculated based on the spindle temperature. The calculation formula is as follows:

[0146]

[0147] Among them, ω T Indicates the temperature impact index, T represents the spindle temperature, and T0 is the preset safety temperature.

[0148] It should be explained that monitoring the spindle temperature using a temperature sensor refers to monitoring the spindle surface temperature using a temperature sensor, and the spindle temperature is the temperature of the spindle surface. The temperature impact index is a control indicator used to describe whether the spindle temperature is within the safe operating range. A value of 1 indicates that the temperature is safe and normal operation is allowed, while a value of 0 indicates that the temperature is too high and operation must be stopped.

[0149] S7. Input the wind speed stability, wind direction concentration, wind energy conversion efficiency, real-time wind energy conversion efficiency, current pitch angle, force influence index and temperature influence index into the pre-built intelligent pitch control model to obtain the target pitch angle, and complete the intelligent pitch control based on the target pitch angle and the pitch control device.

[0150] In detail, the intelligent pitch control model is as follows:

[0151]

[0152] Among them, θ represents the intelligent pitch model, ω Trepresents the temperature impact index, η represents the wind energy conversion efficiency, R represents the wind direction concentration, θ0 represents the current blade pitch angle, η s represents the real-time wind energy conversion efficiency, ω σ Represents the force influence index, θ max With the preset maximum blade pitch angle, ω T represents the temperature influence index, and tanh is the hyperbolic tangent function.

[0153] It should be explained that the target pitch angle is the value calculated by inputting wind speed stability, wind direction concentration, wind energy conversion efficiency, real-time wind energy conversion efficiency, current pitch angle, force influence index and temperature influence index into the intelligent pitch model. After the target pitch angle is calculated in the intelligent pitch model, the pitch device can adjust the pitch angle of the wind blade according to the target pitch angle, thereby completing the intelligent pitch control. The maximum pitch angle refers to the maximum angle to which the wind turbine blades can adjust the pitch angle during operation, which is obtained from the technical manual provided by the wind turbine manufacturer.

[0154] It is understandable that the adjustment principle of the intelligent variable pitch model is as follows: since the current pitch angle corresponds to the wind energy conversion efficiency, when the real-time wind energy conversion efficiency is less than or equal to the wind energy conversion efficiency, the pitch angle should be appropriately reduced to improve the utilization rate of wind energy and balance the loss of wind energy conversion efficiency. At the same time, the greater the wind speed stability and the greater the wind direction concentration, the higher the wind consistency and the more concentrated the wind direction, which is more conducive to facing the wind at a large angle. Therefore, the amplitude of the pitch angle reduction required at this time is greater to make full use of the wind force. When the force influence index is large, it indicates that the wind turbine is more sensitive to changes in force. At this time, the adjustment of the pitch angle should be appropriately reduced to prevent damage to the equipment due to excessive adjustment.

[0155] For example, when the main shaft temperature is higher than the safe temperature, the data value of the temperature impact index is 0, indicating that the temperature is too high and the wind turbine needs to be stopped. Therefore, the target pitch angle calculated by the model is the maximum pitch angle to stop the wind turbine. When the main shaft temperature is lower than the safe temperature, it means that the temperature is safe and normal operation is allowed. At this time, adjustments are made based on the current pitch angle. If the real-time wind energy conversion efficiency is less than or equal to the wind energy conversion efficiency, in order to balance the loss of wind energy conversion efficiency, the pitch angle calculated by the model is to reduce the pitch angle based on the current pitch angle to improve the utilization rate of wind energy.

[0156] The present invention is to solve the problems described in the background technology. The present invention confirms the wind motor and the wind control mechanism, wherein the wind control mechanism includes: a wind speed sensor, a force sensor and a temperature sensor, and the wind motor includes: a wind blade, a pitch device and a main shaft. It can be seen that the embodiment of the present invention confirms in advance the wind control mechanism integrated with the wind speed sensor, the force sensor and the temperature sensor, which is convenient for subsequent acquisition of wind speed, wind blade force data and temperature, and confirms in advance the wind motor integrated with the wind blade, the pitch device and the main shaft, which is convenient for subsequent use of the wind monitoring mechanism to monitor the wind blade force data and the main shaft temperature, and is convenient for using the pitch device to adjust the blade pitch angle in real time, thereby improving the intelligence level of the wind motor pitch, and then obtaining multiple sets of historical data, wherein the historical The data includes: historical wind speed, historical wind direction, historical main shaft speed and historical power generation. It can be seen that the embodiment of the present invention obtains historical wind speed, historical wind direction, historical main shaft speed and historical power generation, and the historical data reflects the relevant data of the wind turbine in the historical operation process. By analyzing the historical data, the historical operation status can be effectively evaluated, so as to calculate the wind speed stability, wind direction concentration and wind energy conversion efficiency. Multiple historical wind speeds and multiple historical wind directions are extracted from multiple groups of historical data, the wind speed stability is calculated based on the multiple historical wind speeds, and the wind direction concentration is confirmed based on the multiple historical wind directions. It can be seen that the embodiment of the present invention extracts multiple historical wind speeds and multiple historical wind directions from multiple groups of historical data. Since multiple historical wind speeds and multiple historical wind directions can reflect The overall wind level of the wind turbine installation area is reflected, so that the wind speed stability and wind direction concentration are calculated according to multiple historical wind speeds and multiple historical wind directions, which is convenient for the subsequent calculation of the target blade pitch angle, and the wind energy conversion efficiency is confirmed based on the wind blades, historical wind speeds, historical main shaft speeds and historical power generation power. It can be seen that the embodiment of the present invention calculates the average wind energy conversion efficiency of the wind turbine in the history of operation according to historical data, which is convenient for the subsequent comparison of the real-time wind energy conversion efficiency with the wind energy conversion efficiency, so as to facilitate the subsequent precise adjustment of the blade pitch angle according to the difference between the real-time wind energy conversion efficiency and the wind energy conversion efficiency, and uses the wind speed sensor to obtain the current wind speed, the current blade pitch angle, the current speed and the power generation power. It can be seen that the embodiment of the present invention obtains the current wind speed, the current blade pitch angle and the current speed by implementing The generated power is convenient for the subsequent calculation and implementation of wind energy conversion efficiency and target pitch angle. The real-time wind energy conversion efficiency is confirmed based on the wind blades, current wind speed, current rotation speed and generated power. It can be seen that the embodiment of the present invention calculates the real-time wind energy conversion efficiency and then compares it with the wind energy conversion efficiency, thereby obtaining the degree of difference between the current operating state and the average operating state of the wind turbine, thereby improving the intelligence level of wind turbine pitch control. The force influence index is confirmed based on the wind blades and the force sensor, and the temperature influence index is confirmed based on the temperature sensor and the main shaft. It can be seen that the embodiment of the present invention obtains the real-time force data of the wind blades by using the force sensor, and then confirms the force influence index, obtains the surface temperature of the main shaft in real time by the temperature sensor, and then calculates the temperature influence index.To facilitate the subsequent calculation of the pitch angle, the wind speed stability, wind direction concentration, wind energy conversion efficiency, real-time wind energy conversion efficiency, current pitch angle, force influence index and temperature influence index are input into the pre-built intelligent pitch model to obtain the target pitch angle. It can be seen that the embodiment of the present invention calculates the target pitch angle through the pre-built intelligent pitch model, thereby improving the intelligence level of wind turbine pitch control, and completes intelligent pitch control based on the target pitch angle and the pitch device. It can be seen that the embodiment of the present invention fits the wind speed stability, wind direction concentration, wind energy conversion efficiency, real-time wind energy conversion efficiency, current pitch angle, force influence index and temperature influence index through the intelligent pitch model, intelligently calculates the target pitch angle that matches the current wind state, completes the precise control of intelligent pitch control, improves the intelligence level of wind turbine pitch control, and further improves the power generation efficiency of the wind turbine. Therefore, the present invention can improve the intelligence level of wind turbine pitch control, thereby improving the power generation efficiency of the wind turbine.

[0157] like Figure 2 , which is a functional module diagram of a wind power generation system based on intelligent pitch control provided by an embodiment of the present invention.

[0158] The wind turbine generation system 100 based on intelligent pitch control described in the present invention can be installed in an electronic device. Depending on the functionality implemented, the wind turbine generation system 100 based on intelligent pitch control can include a basic equipment acquisition module 101, a historical data analysis module 102, a real-time data monitoring module 103, and an intelligent pitch calculation module 104. A module, also referred to as a unit, is a series of computer program segments that can be executed by an electronic device processor and perform a fixed function. These are stored in the electronic device's memory.

[0159] The basic equipment acquisition module 101 is used to confirm the wind turbine and the wind control mechanism, wherein the wind control mechanism includes: a wind speed sensor, a force sensor and a temperature sensor; the wind turbine includes: wind blades, a pitch device and a main shaft;

[0160] The historical data analysis module 102 is configured to obtain multiple sets of historical data, wherein the historical data includes historical wind speed, historical wind direction, historical main shaft speed, and historical power generation, extract multiple historical wind speeds and multiple historical wind directions from the multiple sets of historical data, calculate wind speed stability based on the multiple historical wind speeds, determine wind direction concentration based on the multiple historical wind directions, and determine wind energy conversion efficiency based on wind blades, historical wind speed, historical main shaft speed, and historical power generation;

[0161] The real-time data monitoring module 103 is used to obtain the current wind speed, the current blade pitch angle, the current rotational speed and the generated power using the wind speed sensor, and to determine the real-time wind energy conversion efficiency based on the wind blades, the current wind speed, the current rotational speed and the generated power; to determine the force influence index based on the wind blades and the force sensor, and to determine the temperature influence index based on the temperature sensor and the main shaft;

[0162] The intelligent calculation pitch control module 104 is used to input wind speed stability, wind direction concentration, wind energy conversion efficiency, real-time wind energy conversion efficiency, current pitch angle, force influence index and temperature influence index into a pre-built intelligent pitch control model to obtain a target pitch angle, and complete intelligent pitch control based on the target pitch angle and the pitch control device.

[0163] In detail, the modules in the wind power generation system 100 based on intelligent pitch control according to the embodiment of the present invention are used in the same manner as above. Figure 1 The same technical means are used as the wind power generation method based on intelligent pitch control described in , and can produce the same technical effects, so they will not be repeated here.

[0164] like Figure 3 2 is a schematic structural diagram of an electronic device for implementing a wind power generation method based on intelligent pitch control provided by an embodiment of the present invention.

[0165] The electronic device 1 may include a processor 10, a memory 11 and a bus 12, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as a wind power generation method program based on intelligent pitch control.

[0166] Wherein, the memory 11 includes at least one type of readable storage medium, and the readable storage medium includes a flash memory, a mobile hard disk, a multimedia card, a card-type memory (for example: SD or DX memory, etc.), a magnetic memory, a disk, an optical disk, etc. In some embodiments, the memory 11 can be an internal storage unit of the electronic device 1, such as a mobile hard disk of the electronic device 1. In other embodiments, the memory 11 can also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device 1. Furthermore, the memory 11 also includes an internal storage unit of the electronic device 1 and an external storage device. The memory 11 can not only be used to store application software and various types of data installed on the electronic device 1, such as the code of the wind power generation method program based on intelligent pitch control, but can also be used to temporarily store data that has been output or is to be output.

[0167] In some embodiments, the processor 10 may be composed of an integrated circuit, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and a combination of various control chips. The processor 10 is the control core (Control Unit) of the electronic device, connecting the various components of the entire electronic device using various interfaces and lines, and executing the programs or modules stored in the memory 11 (such as a program for a wind power generation method based on intelligent pitch control, etc.), as well as calling the data stored in the memory 11, to perform various functions of the electronic device 1 and process data.

[0168] The bus 12 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus 12 may be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to enable communication between the memory 11 and at least one processor 10, etc.

[0169] Figure 3 Only the electronic device with components is shown, and it can be understood by those skilled in the art that Figure 3 The structure shown does not constitute a limitation on the electronic device 1 , and may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0170] For example, although not shown, the electronic device 1 may further include a power source (such as a battery) for powering the various components. Preferably, the power source may be logically connected to the at least one processor 10 via a power management device, thereby implementing functions such as charging management, discharging management, and power consumption management through the power management device. The power source may further include any components such as one or more DC or AC power sources, a recharging device, a power failure detection circuit, a power converter or inverter, a power status indicator, etc. The electronic device 1 may further include various sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be described in detail here.

[0171] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device 1 and other electronic devices.

[0172] Optionally, the electronic device 1 may further include a user interface, which may be a display or an input unit (such as a keyboard). Optionally, the user interface may also be a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touch device. The display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device 1 and to display a visual user interface.

[0173] The program of the wind power generation method based on intelligent pitch control stored in the memory 11 of the electronic device 1 is a combination of multiple instructions. When running in the processor 10, it can achieve the following:

[0174] Identify the wind turbine and wind control mechanism, where the wind control mechanism includes: wind speed sensor, force sensor and temperature sensor; the wind turbine includes: wind blades, pitch device and main shaft;

[0175] Acquire multiple sets of historical data, including historical wind speed, historical wind direction, historical main shaft speed, and historical power generation;

[0176] Extract multiple historical wind speeds and multiple historical wind directions from multiple sets of historical data;

[0177] Calculate wind speed stability based on multiple historical wind speeds, and confirm wind direction concentration based on multiple historical wind directions;

[0178] Determine wind energy conversion efficiency based on wind blades, historical wind speed, historical main shaft speed, and historical power generation;

[0179] Use the wind speed sensor to obtain the current wind speed, current pitch angle, current speed and power generation;

[0180] Determine the real-time wind energy conversion efficiency based on wind blades, current wind speed, current rotation speed, and power generation;

[0181] The force impact index is determined based on the wind blade and the force sensor, and the temperature impact index is determined based on the temperature sensor and the main shaft;

[0182] Input wind speed stability, wind direction concentration, wind energy conversion efficiency, real-time wind energy conversion efficiency, current pitch angle, force influence index, and temperature influence index into the pre-built intelligent variable pitch model to obtain the target pitch angle;

[0183] Intelligent pitch control is achieved based on the target pitch angle and the pitch device.

[0184] Specifically, the specific implementation method of the processor 10 for the above instructions can refer to Figures 1 to 3 The description of the relevant steps in the corresponding embodiments will not be repeated here.

[0185] Furthermore, if the modules / units integrated into the electronic device 1 are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard drive, a magnetic disk, an optical disk, a computer memory, or a read-only memory (ROM).

[0186] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program. When the computer program is executed by a processor of an electronic device, the computer program can implement:

[0187] Identify the wind turbine and wind control mechanism, where the wind control mechanism includes: wind speed sensor, force sensor and temperature sensor; the wind turbine includes: wind blades, pitch device and main shaft;

[0188] Acquire multiple sets of historical data, including historical wind speed, historical wind direction, historical main shaft speed, and historical power generation;

[0189] Extract multiple historical wind speeds and multiple historical wind directions from multiple sets of historical data;

[0190] Calculate wind speed stability based on multiple historical wind speeds, and confirm wind direction concentration based on multiple historical wind directions;

[0191] Determine wind energy conversion efficiency based on wind blades, historical wind speed, historical main shaft speed, and historical power generation;

[0192] Use the wind speed sensor to obtain the current wind speed, current pitch angle, current speed and power generation;

[0193] Determine the real-time wind energy conversion efficiency based on wind blades, current wind speed, current rotation speed, and power generation;

[0194] The force impact index is determined based on the wind blade and the force sensor, and the temperature impact index is determined based on the temperature sensor and the main shaft;

[0195] Input wind speed stability, wind direction concentration, wind energy conversion efficiency, real-time wind energy conversion efficiency, current pitch angle, force influence index, and temperature influence index into the pre-built intelligent variable pitch model to obtain the target pitch angle;

[0196] Intelligent pitch control is achieved based on the target pitch angle and the pitch device.

[0197] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the system embodiments described above are only exemplary, and actual implementations may have other division methods.

[0198] The modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed across multiple network elements. Some or all of the modules may be selected to achieve the purpose of the solution of this embodiment according to actual needs.

[0199] In addition, the functional modules in various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or hardware plus software functional modules.

[0200] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0201] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not limiting. 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.

Claims

1. A wind power generation method based on intelligent pitch control, characterized in that: The method comprises: Identify the wind turbine and wind control mechanism, where the wind control mechanism includes: wind speed sensor, force sensor and temperature sensor; the wind turbine includes: wind blades, pitch device and main shaft; Acquire multiple sets of historical data, including historical wind speed, historical wind direction, historical main shaft speed, and historical power generation; Extract multiple historical wind speeds and multiple historical wind directions from multiple sets of historical data; Calculate wind speed stability based on multiple historical wind speeds, and confirm wind direction concentration based on multiple historical wind directions; Determine wind energy conversion efficiency based on wind blades, historical wind speed, historical main shaft speed, and historical power generation; Use the wind speed sensor to obtain the current wind speed, current pitch angle, current speed and power generation; Determine the real-time wind energy conversion efficiency based on wind blades, current wind speed, current rotation speed, and power generation; The force impact index is determined based on the wind blade and the force sensor, and the temperature impact index is determined based on the temperature sensor and the main shaft; Input wind speed stability, wind direction concentration, wind energy conversion efficiency, real-time wind energy conversion efficiency, current pitch angle, force influence index, and temperature influence index into the pre-built intelligent variable pitch model to obtain the target pitch angle; Intelligent pitch control is achieved based on the target pitch angle and the pitch device.

2. The wind power generation method based on intelligent pitch control according to claim 1, characterized in that: The wind speed stability calculation formula is as follows: Among them, VI represents the wind speed stability, n is the number of historical data in multiple sets of historical data, U i Represents the i-th historical wind speed among multiple historical wind speeds.

3. The wind power generation method based on intelligent pitch control according to claim 2, characterized in that: The wind direction concentration is determined based on multiple historical wind directions, including: For each of the multiple historical wind directions, perform the following operations: Convert the historical wind direction into arc to obtain the wind direction arc value; Summarize the wind direction arc values ​​to obtain multiple wind direction arc values; Calculates wind direction concentration based on multiple wind direction arc values.

4. The wind power generation method based on intelligent pitch control according to claim 3, characterized in that: The determination of wind energy conversion efficiency based on wind blades, historical wind speed, historical main shaft speed, and historical power generation includes: To determine the blade radius of a wind turbine blade, perform the following operations on each of multiple sets of historical data: Calculate the tip speed ratio based on the historical wind speed in the historical data, the historical main shaft speed in the historical data, and the blade radius; Calculate the power coefficient based on the historical generated power, the historical wind speed, the blade radius and the tip speed ratio in the historical data; Summarizing the tip speed ratios to obtain a plurality of tip speed ratios, and determining an average tip speed ratio based on the plurality of tip speed ratios, wherein the average tip speed ratio is an average of the plurality of tip speed ratios; Summarizing the power coefficients to obtain multiple power coefficients, and determining an average power coefficient based on the multiple power factors, wherein the average power coefficient is an average of the multiple power coefficients; The wind energy conversion efficiency is calculated based on the average tip speed ratio and the average power coefficient.

5. The wind power generation method based on intelligent pitch control according to claim 4, characterized in that: The method of determining the force impact index based on the wind blade and the force sensor includes: Acquire multiple historical force data of the wind blade, wherein the historical force data includes: historical axial stress, historical radial stress and historical bending moment; Extract multiple historical axial stresses, multiple historical radial stresses and multiple historical bending moments from multiple historical stress data; Determine an axial stress weight, a radial stress weight, and a bending moment weight based on a plurality of historical axial stresses, a plurality of historical radial stresses, and a plurality of historical bending moments; The force influence index is determined based on the wind blade, force sensor, axial stress weight, radial stress weight and bending moment weight.

6. The wind power generation method based on intelligent pitch control according to claim 5, characterized in that: The determining of the axial stress weight, the radial stress weight, and the bending moment weight based on the multiple historical axial stresses, the multiple historical radial stresses, and the multiple historical bending moments includes: Calculate the standard deviation of axial stress based on multiple historical axial stresses; Determine the radial stress standard deviation based on multiple historical radial stresses, and determine the bending moment standard deviation based on multiple historical bending moments; The axial stress weight, radial stress weight and bending moment weight are calculated based on the axial stress standard deviation, radial stress standard deviation and bending moment standard deviation.

7. The wind power generation method based on intelligent pitch control according to claim 6, characterized in that: The force influence index determined based on the wind blade, the force sensor, the axial stress weight, the radial stress weight, and the bending moment weight includes: Acquiring allowable stress data of the wind blade, wherein the allowable stress data includes: allowable axial stress, allowable radial stress, and allowable bending moment; The force sensor is used to monitor the force of the wind blade to obtain force data, wherein the force data includes: current axial stress, current radial stress and current bending moment; The force influence index is calculated based on the allowable axial stress, allowable radial stress, allowable bending moment, current axial stress, current radial stress, current bending moment, axial stress weight, radial stress weight, and bending moment weight.

8. The wind power generation method based on intelligent pitch control according to claim 7, characterized in that: The determining of the temperature impact index based on the temperature sensor and the spindle includes: Use the temperature sensor to monitor the temperature of the spindle and obtain the spindle temperature; Calculate the temperature impact index based on the spindle temperature.

9. The wind power generation method based on intelligent pitch control according to claim 8, characterized in that: The intelligent pitch model is as follows: Among them, θ represents the intelligent pitch model, ω T represents the temperature impact index, η represents the wind energy conversion efficiency, R represents the wind direction concentration, θ0 represents the current blade pitch angle, η s represents the real-time wind energy conversion efficiency, ω σ Represents the force influence index, θ max With the preset maximum blade pitch angle, ω T represents the temperature influence index, and tanh is the hyperbolic tangent function.

10. A wind power generation system based on intelligent pitch control, characterized in that: The system comprises: The basic equipment acquisition module is used to confirm the wind turbine and wind control mechanism, wherein the wind control mechanism includes: wind speed sensor, force sensor and temperature sensor; the wind turbine includes: wind blades, pitch device and main shaft; A historical data analysis module is used to obtain multiple sets of historical data, where the historical data includes historical wind speed, historical wind direction, historical main shaft speed, and historical power generation. Multiple historical wind speeds and multiple historical wind directions are extracted from the multiple sets of historical data. Wind speed stability is calculated based on the multiple historical wind speeds. Wind direction concentration is determined based on the multiple historical wind directions. Wind energy conversion efficiency is determined based on wind blades, historical wind speed, historical main shaft speed, and historical power generation. The real-time data monitoring module is used to obtain the current wind speed, current blade pitch angle, current rotational speed and power generation using a wind speed sensor, and to determine the real-time wind energy conversion efficiency based on the wind blades, current wind speed, current rotational speed and power generation; to determine the force influence index based on the wind blades and force sensor, and to determine the temperature influence index based on the temperature sensor and main shaft; The intelligent calculation pitch control module is used to input wind speed stability, wind direction concentration, wind energy conversion efficiency, real-time wind energy conversion efficiency, current pitch angle, force influence index and temperature influence index into a pre-built intelligent pitch control model to obtain the target pitch angle, and complete intelligent pitch control based on the target pitch angle and pitch control device.

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