CN112664411A - Method for controlling resonance of wind turbine generator by monitoring wind speed - Google Patents
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Abstract
The invention discloses a method for controlling resonance of a wind turbine generator by monitoring wind speed, and particularly relates to the field of wind driven generators. The invention utilizes an ultrasonic wind speed sensor to measure wind speed based on an ultrasonic time difference method, sets a temperature sensor at the same height to measure temperature, considers the influence of the temperature on ultrasonic waves, connects sensor data with a data acquisition module, transmits the sensor data into a data processing module, utilizes a BP neural network to filter the data, constructs a reasonable algorithm to learn a large number of processed data samples to predict wind speed and wind direction, thereby changing the yaw position of a wind driven generator and the generator rotating speed of the wind driven generator, leading the generator rotating speed of the wind driven generator set to avoid a resonance rotating speed set value, reducing the vibration value and fatigue load of the wind driven generator set, and prolonging the service life of the wind driven generator.
Description
Technical Field
The invention relates to the technical field of wind driven generators, in particular to a method for controlling resonance of a wind turbine generator by monitoring wind speed.
Background
The kinetic energy of wind is converted into mechanical energy, and then the mechanical energy is converted into electric energy, namely wind power generation. The principle of wind power generation is that wind power drives windmill blades to rotate, and then a speed increaser is used for increasing the rotating speed so as to realize the power generation of a generator. The current wind power generation technology has a breeze speed (breeze degree) of three meters per second, which is the lowest wind speed at which power can be generated. Wind power generation does not need fuel and does not pollute the environment, so that wind power generation forms a hot tide in energy application in the world nowadays.
In addition, the wind speed is the same as the rotating speed to generate resonance, and the wind power generator can generate load fatigue under the condition, so that the service life of the wind power generator is greatly reduced, and the maintenance cost is increased.
Disclosure of Invention
In order to overcome the above defects in the prior art, an embodiment of the present invention provides a method for controlling resonance of a wind turbine generator by monitoring wind speed, and the technical problem to be solved by the present invention is: how to reduce the vibration value and fatigue load of the wind generating set and ensure the service life of the wind generating set.
In order to achieve the purpose, the invention provides the following technical scheme: a method for controlling resonance of a wind turbine generator by monitoring wind speed comprises a wind power generation assembly, a comprehensive controller, a data processing module, a data acquisition module, an ultrasonic wind speed sensor and a temperature sensor, wherein the wind power generation assembly comprises a generator set, a generator yaw steering unit and a generator rotating speed adjusting unit; the method comprises the following specific control steps:
s1, initial setting: setting an initial resonance rotating speed set value in the integrated controller corresponding to each group of generator sets, and connecting a BP neural network and an algorithm thereof in the data processing module;
s2, wind direction monitoring: arranging an ultrasonic wind speed sensor at the top of a tower barrel corresponding to the generator set, and measuring the wind speed by using an ultrasonic time difference method of the ultrasonic wind speed sensor; the propagation speed of sound in the air can be superposed with the airflow speed in the wind direction; if the propagation direction of the ultrasonic wave is the same as the wind direction, the speed of the ultrasonic wave is accelerated; on the contrary, if the propagation direction of the ultrasonic wave is opposite to the wind direction, the speed of the ultrasonic wave is slowed down; therefore, under fixed conditions, the speed of the ultrasonic wave propagating in the air can correspond to a wind speed function;
s3, temperature monitoring: the temperature sensor is arranged at the same height as the ultrasonic wind speed sensor to measure the temperature, and the influence of the temperature on the ultrasonic waves is considered; when the ultrasonic wave propagates in the air, the speed of the ultrasonic wave is greatly influenced by the temperature; the data acquisition module receives monitoring data from the temperature sensor and the ultrasonic wind speed sensor respectively to obtain monitoring data;
s4, data processing: the monitoring data obtained in the step S3 is periodically transmitted into a data processing module, a BP neural network is adopted for filtering processing, and estimated wind speed and wind direction information can be obtained by calculation according to the principle of a BP neural network algorithm;
s5, control and regulation: the integrated controller receives the estimated wind speed and wind direction information obtained in the step S4, and the estimated wind speed and wind direction information is used as the adjustment original data to compare the adjustment original data with the initial resonance rotating speed set value set in the step S1;
if the wind speed information in the predicted data is not equal to the initial resonance rotating speed set value and the wind direction information is the same as the direction of the current generator set fan blade, no control signal is transmitted by the integrated controller, and all data of the wind power generation assembly maintain the current situation;
if the wind speed information in the predicted data is equal to the initial resonance rotating speed set value and the wind direction information is the same as the current fan blade orientation of the generator set, the integrated controller sends an adjusting signal to the generator rotating speed adjusting unit, the generator rotating speed adjusting unit changes the initial resonance rotating speed set value, and the generator yaw steering unit maintains the current situation;
if the wind speed information in the prediction data is equal to the initial resonance rotating speed set value and the wind direction information is different from the current wind direction of the generator set blade, the integrated controller sends an adjusting signal to the generator rotating speed adjusting unit, the generator rotating speed adjusting unit changes the initial resonance rotating speed set value so as to change the generator rotating speed of the wind driven generator, and the integrated controller sends an adjusting signal to the generator yaw steering unit so as to steer the generator set blade to the wind direction prediction position.
In a preferred embodiment, the output ends of the ultrasonic wind speed sensor and the temperature sensor are both set as data acquisition modules, the output end of the data acquisition module is set as a data processing module, the output end of the data processing module is set as a comprehensive controller, the output end of the comprehensive controller is set as a generator yaw steering unit and a generator speed regulating unit, the output ends of the generator yaw steering unit and the generator speed regulating unit are both set as generator sets, and the generator sets are wind driven generators.
In a preferred embodiment, the number of the ultrasonic wind speed sensors is equal to that of the temperature sensors, a plurality of sensor groups are correspondingly arranged on the generator set, the sensor groups are uniformly distributed at each angle position of the top of the tower corresponding to the generator set, and each sensor group is at least provided with three ultrasonic wind speed sensors and three temperature sensors.
In a preferred embodiment, the periodically set time period in step S4 is set to 15 min.
In a preferred embodiment, the periodically set time period in step S4 is set to 60 min.
In a preferred embodiment, the periodically set time period in step S4 is set to 180 min.
In a preferred embodiment, the initial resonance rotation speed set value in step S1 is set to 1500 rpm.
In a preferred embodiment, the single speed adjustment value of the generator speed adjustment unit in step S5 is set to ± 200 rpm.
The invention has the technical effects and advantages that:
the ultrasonic wind speed sensor of the invention realizes the measurement of wind speed by utilizing an ultrasonic time difference method, the temperature sensor is arranged at the same height to measure the temperature, the influence of the temperature on the ultrasonic wave is considered, the sensor data is connected with the data acquisition module and finally transmitted into the data processing module, the BP neural network is adopted for filtering processing, and the estimated wind speed and wind direction can be obtained through algorithm calculation, so that the yaw position of the wind driven generator and the generator rotating speed of the wind driven generator are changed, the generator rotating speed of the wind driven generator set avoids a resonance rotating speed set value, the vibration value and the fatigue load of the wind driven generator set are reduced, and the service life of the wind driven generator is prolonged.
Drawings
Fig. 1 is a schematic view of the working process of the present invention.
Fig. 2 is a schematic diagram of a module structure according to the present invention.
The reference signs are: the wind power generation system comprises a wind power generation assembly 1, a generator set 11, a generator yaw steering unit 12, a generator rotating speed adjusting unit 13, a comprehensive controller 2, a data processing module 3, a data acquisition module 4, an ultrasonic wind speed sensor 5 and a temperature sensor 6.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1:
the invention provides a method for controlling resonance of a wind turbine generator by monitoring wind speed, which comprises a wind power generation assembly 1, a comprehensive controller 2, a data processing module 3, a data acquisition module 4, an ultrasonic wind speed sensor 5 and a temperature sensor 6, wherein the wind power generation assembly 1 comprises a generator set 11, a generator yaw steering unit 12 and a generator rotating speed adjusting unit 13, the output ends of the ultrasonic wind speed sensor 5 and the temperature sensor 6 are respectively arranged as the data acquisition module 4, the output end of the data acquisition module 4 is arranged as the data processing module 3, the output end of the data processing module 3 is arranged as the comprehensive controller 2, the output end of the comprehensive controller 2 is arranged as the generator yaw steering unit 12 and the generator rotating speed adjusting unit 13, the output ends of the generator yaw steering unit 12 and the generator rotating speed adjusting unit 13 are respectively arranged as the generator set 11, the generator set 11 is a wind driven generator, the number of the ultrasonic wind speed sensors 5 is equal to that of the temperature sensors 6, the generator set 11 is correspondingly provided with a plurality of sensor groups, the sensor groups are uniformly distributed at each angle position of the top of a tower cylinder corresponding to the generator set 11, and each sensor group is at least provided with three ultrasonic wind speed sensors 5 and three temperature sensors 6; the method comprises the following specific control steps:
s1, initial setting: setting an initial resonance rotating speed set value to be 1500 rpm in the integrated controller 2 corresponding to each group of generator sets 11, and connecting a BP neural network and an algorithm thereof in the data processing module 3;
s2, wind direction monitoring: arranging the ultrasonic wind speed sensor 5 at the top of a tower barrel corresponding to the generator set 11, and measuring the wind speed by utilizing an ultrasonic time difference method of the ultrasonic wind speed sensor 5; the propagation speed of sound in the air can be superposed with the airflow speed in the wind direction; if the propagation direction of the ultrasonic wave is the same as the wind direction, the speed of the ultrasonic wave is accelerated; on the contrary, if the propagation direction of the ultrasonic wave is opposite to the wind direction, the speed of the ultrasonic wave is slowed down; therefore, under fixed conditions, the speed of ultrasonic waves propagating in the air can correspond to a function of the wind speed;
s3, temperature monitoring: the temperature sensor 6 is arranged at the same height as the ultrasonic wind speed sensor 5 to measure the temperature, and the influence of the temperature on the ultrasonic waves is considered; when the ultrasonic wave propagates in the air, the speed of the ultrasonic wave is greatly influenced by the temperature; the data acquisition module 4 receives monitoring data from the temperature sensor 6 and the ultrasonic wind speed sensor 5 respectively to obtain monitoring data;
s4, data processing: the monitoring data obtained in the step S3 is transmitted into the data processing module 3 at a time interval of 15 min/time, a BP neural network is adopted for filtering, and estimated wind speed and wind direction information can be obtained by calculation according to the BP neural network algorithm principle;
s5, control and regulation: the integrated controller 2 receives the estimated wind speed and wind direction information obtained in the step S4, and accordingly takes the information as the original adjustment data, and compares the original adjustment data with the initial resonance rotating speed set value set in the step S1;
if the wind speed information in the predicted data is not equal to the initial resonance rotating speed set value and the wind direction information is the same as the wind blade orientation of the current generator set 11, no control signal is transmitted by the integrated controller 2, and the current situation of each data of the wind power generation assembly 1 is maintained;
if the wind speed information in the predicted data is equal to the initial resonance rotating speed set value and the wind direction information is the same as the wind blade orientation of the current generator set 11, the integrated controller 2 sends an adjusting signal to the generator rotating speed adjusting unit 13, the generator rotating speed adjusting unit 13 increases (reduces) the initial resonance rotating speed set value to 1700 rpm (1300 rpm), and the generator yaw steering unit 12 maintains the current data;
if the wind speed information in the prediction data is equal to the initial resonance rotating speed set value and the wind direction information is different from the current wind direction position of the generator set 11, the integrated controller 2 sends an adjusting signal to the generator rotating speed adjusting unit 13, the generator rotating speed adjusting unit 13 changes the initial resonance rotating speed set value so as to change the generator rotating speed of the wind driven generator, and the integrated controller 2 sends an adjusting signal to the generator yaw steering unit 12 so as to steer the wind direction position of the generator set 11.
Example 2:
the invention provides a method for controlling resonance of a wind turbine generator by monitoring wind speed, which comprises a wind power generation assembly 1, a comprehensive controller 2, a data processing module 3, a data acquisition module 4, an ultrasonic wind speed sensor 5 and a temperature sensor 6, wherein the wind power generation assembly 1 comprises a generator set 11, a generator yaw steering unit 12 and a generator rotating speed adjusting unit 13, the output ends of the ultrasonic wind speed sensor 5 and the temperature sensor 6 are respectively arranged as the data acquisition module 4, the output end of the data acquisition module 4 is arranged as the data processing module 3, the output end of the data processing module 3 is arranged as the comprehensive controller 2, the output end of the comprehensive controller 2 is arranged as the generator yaw steering unit 12 and the generator rotating speed adjusting unit 13, the output ends of the generator yaw steering unit 12 and the generator rotating speed adjusting unit 13 are respectively arranged as the generator set 11, the generator set 11 is a wind driven generator, the number of the ultrasonic wind speed sensors 5 is equal to that of the temperature sensors 6, the generator set 11 is correspondingly provided with a plurality of sensor groups, the sensor groups are uniformly distributed at each angle position of the top of a tower cylinder corresponding to the generator set 11, and each sensor group is at least provided with three ultrasonic wind speed sensors 5 and three temperature sensors 6; the method comprises the following specific control steps:
s1, initial setting: setting an initial resonance rotating speed set value to be 1500 rpm in the integrated controller 2 corresponding to each group of generator sets 11, and connecting a BP neural network and an algorithm thereof in the data processing module 3;
s2, wind direction monitoring: arranging the ultrasonic wind speed sensor 5 at the top of a tower barrel corresponding to the generator set 11, and measuring the wind speed by utilizing an ultrasonic time difference method of the ultrasonic wind speed sensor 5; the propagation speed of sound in the air can be superposed with the airflow speed in the wind direction; if the propagation direction of the ultrasonic wave is the same as the wind direction, the speed of the ultrasonic wave is accelerated; on the contrary, if the propagation direction of the ultrasonic wave is opposite to the wind direction, the speed of the ultrasonic wave is slowed down; therefore, under fixed conditions, the speed of the ultrasonic wave propagating in the air can correspond to a wind speed function;
s3, temperature monitoring: the temperature sensor 6 is arranged at the same height as the ultrasonic wind speed sensor 5 to measure the temperature, and the influence of the temperature on the ultrasonic waves is considered; when the ultrasonic wave propagates in the air, the speed of the ultrasonic wave is greatly influenced by the temperature; the data acquisition module 4 receives monitoring data from the temperature sensor 6 and the ultrasonic wind speed sensor 5 respectively to obtain monitoring data;
s4, data processing: the monitoring data obtained in the step S3 is transmitted to the data processing module 3 at a time interval of 60 min/time, a BP neural network is adopted for filtering, and estimated wind speed and wind direction information can be obtained by calculation according to the BP neural network algorithm principle;
s5, control and regulation: the integrated controller 2 receives the estimated wind speed and wind direction information obtained in the step S4, and accordingly takes the information as the original adjustment data, and compares the original adjustment data with the initial resonance rotating speed set value set in the step S1;
if the wind speed information in the predicted data is not equal to the initial resonance rotating speed set value and the wind direction information is the same as the wind blade orientation of the current generator set 11, no control signal is transmitted by the integrated controller 2, and the current situation of each data of the wind power generation assembly 1 is maintained;
if the wind speed information in the predicted data is equal to the initial resonance rotating speed set value and the wind direction information is the same as the wind blade orientation of the current generator set 11, the integrated controller 2 sends an adjusting signal to the generator rotating speed adjusting unit 13, the generator rotating speed adjusting unit 13 increases (reduces) the initial resonance rotating speed set value to 1700 rpm (1300 rpm), and the generator yaw steering unit 12 maintains the current data;
if the wind speed information in the prediction data is equal to the initial resonance rotating speed set value and the wind direction information is different from the current wind direction position of the generator set 11, the integrated controller 2 sends an adjusting signal to the generator rotating speed adjusting unit 13, the generator rotating speed adjusting unit 13 changes the initial resonance rotating speed set value so as to change the generator rotating speed of the wind driven generator, and the integrated controller 2 sends an adjusting signal to the generator yaw steering unit 12 so as to steer the wind direction position of the generator set 11.
Example 3:
the invention provides a method for controlling resonance of a wind turbine generator by monitoring wind speed, which comprises a wind power generation assembly 1, a comprehensive controller 2, a data processing module 3, a data acquisition module 4, an ultrasonic wind speed sensor 5 and a temperature sensor 6, wherein the wind power generation assembly 1 comprises a generator set 11, a generator yaw steering unit 12 and a generator rotating speed adjusting unit 13, the output ends of the ultrasonic wind speed sensor 5 and the temperature sensor 6 are respectively arranged as the data acquisition module 4, the output end of the data acquisition module 4 is arranged as the data processing module 3, the output end of the data processing module 3 is arranged as the comprehensive controller 2, the output end of the comprehensive controller 2 is arranged as the generator yaw steering unit 12 and the generator rotating speed adjusting unit 13, the output ends of the generator yaw steering unit 12 and the generator rotating speed adjusting unit 13 are respectively arranged as the generator set 11, the generator set 11 is a wind driven generator, the number of the ultrasonic wind speed sensors 5 is equal to that of the temperature sensors 6, the generator set 11 is correspondingly provided with a plurality of sensor groups, the sensor groups are uniformly distributed at each angle position of the top of a tower cylinder corresponding to the generator set 11, and each sensor group is at least provided with three ultrasonic wind speed sensors 5 and three temperature sensors 6; the method comprises the following specific control steps:
s1, initial setting: setting an initial resonance rotating speed set value to be 1500 rpm in the integrated controller 2 corresponding to each group of generator sets 11, and connecting a BP neural network and an algorithm thereof in the data processing module 3;
s2, wind direction monitoring: arranging the ultrasonic wind speed sensor 5 at the top of a tower barrel corresponding to the generator set 11, and measuring the wind speed by utilizing an ultrasonic time difference method of the ultrasonic wind speed sensor 5; the propagation speed of sound in the air can be superposed with the airflow speed in the wind direction; if the propagation direction of the ultrasonic wave is the same as the wind direction, the speed of the ultrasonic wave is accelerated; on the contrary, if the propagation direction of the ultrasonic wave is opposite to the wind direction, the speed of the ultrasonic wave is slowed down; therefore, under fixed conditions, the speed of the ultrasonic wave propagating in the air can correspond to a wind speed function;
s3, temperature monitoring: the temperature sensor 6 is arranged at the same height as the ultrasonic wind speed sensor 5 to measure the temperature, and the influence of the temperature on the ultrasonic waves is considered; when the ultrasonic wave propagates in the air, the speed of the ultrasonic wave is greatly influenced by the temperature; the data acquisition module 4 receives monitoring data from the temperature sensor 6 and the ultrasonic wind speed sensor 5 respectively to obtain monitoring data;
s4, data processing: the monitoring data obtained in the step S3 is transmitted to the data processing module 3 at a time interval of 180 min/time, a BP neural network is adopted for filtering, and estimated wind speed and wind direction information can be obtained by calculation according to the BP neural network algorithm principle;
s5, control and regulation: the integrated controller 2 receives the estimated wind speed and wind direction information obtained in the step S4, and accordingly takes the information as the original adjustment data, and compares the original adjustment data with the initial resonance rotating speed set value set in the step S1;
if the wind speed information in the predicted data is not equal to the initial resonance rotating speed set value and the wind direction information is the same as the wind blade orientation of the current generator set 11, no control signal is transmitted by the integrated controller 2, and the current situation of each data of the wind power generation assembly 1 is maintained;
if the wind speed information in the predicted data is equal to the initial resonance rotating speed set value and the wind direction information is the same as the wind blade orientation of the current generator set 11, the integrated controller 2 sends an adjusting signal to the generator rotating speed adjusting unit 13, the generator rotating speed adjusting unit 13 increases (reduces) the initial resonance rotating speed set value to 1700 rpm (1300 rpm), and the generator yaw steering unit 12 maintains the current data;
if the wind speed information in the prediction data is equal to the initial resonance rotating speed set value and the wind direction information is different from the current wind direction position of the generator set 11, the integrated controller 2 sends an adjusting signal to the generator rotating speed adjusting unit 13, the generator rotating speed adjusting unit 13 changes the initial resonance rotating speed set value so as to change the generator rotating speed of the wind driven generator, and the integrated controller 2 sends an adjusting signal to the generator yaw steering unit 12 so as to steer the wind direction position of the generator set 11.
Example 4:
the wind driven generators are controlled by the methods in the embodiments 1 to 3, the conventional wind driven generator in the prior art is added as a comparative example, and the following data are obtained by tracking, investigating, repairing and detecting information for 3 years:
as can be seen from the above table, the method in embodiment 2 controls the wind turbine, so that the wind turbine has a low probability of failure and a high relative power generation amount, and the accessories have perfect functions during use, and each function can be normally used, thereby maintaining a good service life.
The points to be finally explained are: first, in the description of the present application, it should be noted that, unless otherwise specified and limited, the terms "mounted," "connected," and "connected" should be understood broadly, and may be a mechanical connection or an electrical connection, or a communication between two elements, and may be a direct connection, and "upper," "lower," "left," and "right" are only used to indicate a relative positional relationship, and when the absolute position of the object to be described is changed, the relative positional relationship may be changed;
secondly, the method comprises the following steps: in the drawings of the disclosed embodiments of the invention, only the structures related to the disclosed embodiments are referred to, other structures can refer to common designs, and the same embodiment and different embodiments of the invention can be combined with each other without conflict;
and finally: the above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that are within the spirit and principle of the present invention are intended to be included in the scope of the present invention.
Claims (8)
1. A method for controlling resonance of a wind turbine generator by monitoring wind speed is characterized in that: the wind power generation system comprises a wind power generation assembly (1), a comprehensive controller (2), a data processing module (3), a data acquisition module (4), an ultrasonic wind speed sensor (5) and a temperature sensor (6), wherein the wind power generation assembly (1) comprises a generator set (11), a generator yaw steering unit (12) and a generator rotating speed adjusting unit (13); the method comprises the following specific control steps:
s1, initial setting: setting an initial resonance rotating speed set value in the integrated controller (2) corresponding to each group of generator sets (11), and connecting a BP neural network and an algorithm thereof in the data processing module (3);
s2, wind direction monitoring: arranging the ultrasonic wind speed sensor (5) at the top of a tower barrel corresponding to the generator set (11), and measuring the wind speed by using an ultrasonic time difference method of the ultrasonic wind speed sensor (5);
s3, temperature monitoring: the temperature sensor (6) is arranged at the same height as the ultrasonic wind speed sensor (5) to measure the temperature, and the influence of the temperature on the ultrasonic waves is considered; the data acquisition module (4) receives monitoring data from the temperature sensor (6) and the ultrasonic wind speed sensor (5) respectively to obtain the monitoring data;
s4, data processing: the monitoring data obtained in the step S3 are periodically transmitted into a data processing module (3), the collected data are filtered by using a BP neural network, and estimated wind speed and wind direction information can be obtained by calculating according to the algorithm principle of the BP neural network;
s5, control and regulation: the integrated controller (2) receives the estimated wind speed and wind direction information obtained in the step S4, and accordingly, the estimated wind speed and wind direction information is used as adjustment original data to be compared with the initial resonance rotating speed set value set in the step S1;
if the wind speed information in the predicted data is not equal to the initial resonance rotating speed set value and the wind direction information is the same as the direction of the fan blade of the current generator set (11), no control signal is transmitted by the integrated controller (2), and all data of the wind power generation assembly (1) maintain the current state;
if the wind speed information in the predicted data is equal to the initial resonance rotating speed set value and the wind direction information is the same as the direction of the current fan blade of the generator set (11), the integrated controller (2) sends an adjusting signal to the generator rotating speed adjusting unit (13), the generator rotating speed adjusting unit (13) changes the initial resonance rotating speed set value, and the yaw steering unit (12) of the generator maintains the current data;
if the wind speed information in the prediction data is equal to the initial resonance rotating speed set value and the wind direction information is different from the current wind direction of the fan blade of the generator set (11), the integrated controller (2) sends an adjusting signal to the generator rotating speed adjusting unit (13), the generator rotating speed adjusting unit (13) changes the initial resonance rotating speed set value so as to change the generator rotating speed of the wind driven generator, and the integrated controller (2) sends an adjusting signal to the generator yaw steering unit (12) so as to steer the fan blade of the generator set (11) to the predicted wind direction position.
2. The method for controlling the resonance of the wind turbine generator by monitoring the wind speed according to claim 1, wherein the method comprises the following steps: the output of ultrasonic wave wind speed sensor (5) and temperature sensor (6) all sets up to data acquisition module (4), data acquisition module (4) output sets up to data processing module (3), data processing module (3) output sets up to integrated control ware (2), integrated control ware (2) output sets up to generator driftage steering unit (12) and generator speed regulating unit (13), generator driftage steering unit (12) and generator speed regulating unit (13) output all set up to generating set (11), generating set (11) set up to aerogenerator.
3. The method for controlling the resonance of the wind turbine generator by monitoring the wind speed according to claim 2, wherein the method comprises the following steps: ultrasonic wave wind speed sensor (5) and temperature sensor (6) quantity equal, and generating set (11) correspondence is provided with multiunit sensor group, and multiunit sensor group evenly distributed is in each angular position in the tower section of thick bamboo top that generating set (11) correspond, and every sensor group of group sets up to three ultrasonic wave wind speed sensor (5) and temperature sensor (6) at least.
4. The method for controlling the resonance of the wind turbine generator by monitoring the wind speed according to claim 1, wherein the method comprises the following steps: the periodically set time period in step S4 is set to 15 min.
5. The method for controlling the resonance of the wind turbine generator by monitoring the wind speed according to claim 1, wherein the method comprises the following steps: the periodically set time period in said step S4 is set to 60 min.
6. The method for controlling the resonance of the wind turbine generator by monitoring the wind speed according to claim 1, wherein the method comprises the following steps: the periodically set time period in the step S4 is set to 180 min.
7. The method for controlling the resonance of the wind turbine generator by monitoring the wind speed according to claim 1, wherein the method comprises the following steps: the initial resonance rotation speed set value in said step S1 is set to 1500 rpm.
8. The method for controlling the resonance of the wind turbine generator by monitoring the wind speed according to claim 1, wherein the method comprises the following steps: the single rotation speed adjustment value of the generator rotation speed adjustment unit (13) in the step S5 is set to ± 200 rpm.
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| LU502837B1 (en) * | 2022-08-26 | 2024-02-26 | Huaneng Renewables Corporation Ltd Hebei Branch | Vortex-induced vibration suppression monitoring system for doubly-fed wind turbine generator set and the method thereof |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060066111A1 (en) * | 2004-09-30 | 2006-03-30 | Shashikanth Suryanarayanan | Vibration damping system and method for variable speed wind turbines |
| CN106405146A (en) * | 2016-09-10 | 2017-02-15 | 浙江大学 | Wind speed and wind direction measuring method based on ultrasonic resonance principles |
| CN107514337A (en) * | 2016-06-17 | 2017-12-26 | 北京天诚同创电气有限公司 | Control method and device of wind generating set and wind power plant group control system |
| CN110185581A (en) * | 2019-05-30 | 2019-08-30 | 浙江运达风电股份有限公司 | A kind of flexible tower Wind turbines shut down, halt protection method |
| CN111577543A (en) * | 2020-05-22 | 2020-08-25 | 三一重能有限公司 | Wind turbine resonance zone crossing method and device, wind turbine and readable storage medium |
| CN111878324A (en) * | 2020-08-28 | 2020-11-03 | 国电联合动力技术有限公司 | Wind power plant tower drum vortex-induced vibration early warning method and early warning system |
| CN111911351A (en) * | 2020-07-17 | 2020-11-10 | 许昌许继风电科技有限公司 | Fan homogenized wind speed prediction method and control method for flexible tower fan |
-
2021
- 2021-01-22 CN CN202110091254.9A patent/CN112664411A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060066111A1 (en) * | 2004-09-30 | 2006-03-30 | Shashikanth Suryanarayanan | Vibration damping system and method for variable speed wind turbines |
| CN107514337A (en) * | 2016-06-17 | 2017-12-26 | 北京天诚同创电气有限公司 | Control method and device of wind generating set and wind power plant group control system |
| CN106405146A (en) * | 2016-09-10 | 2017-02-15 | 浙江大学 | Wind speed and wind direction measuring method based on ultrasonic resonance principles |
| CN110185581A (en) * | 2019-05-30 | 2019-08-30 | 浙江运达风电股份有限公司 | A kind of flexible tower Wind turbines shut down, halt protection method |
| CN111577543A (en) * | 2020-05-22 | 2020-08-25 | 三一重能有限公司 | Wind turbine resonance zone crossing method and device, wind turbine and readable storage medium |
| CN111911351A (en) * | 2020-07-17 | 2020-11-10 | 许昌许继风电科技有限公司 | Fan homogenized wind speed prediction method and control method for flexible tower fan |
| CN111878324A (en) * | 2020-08-28 | 2020-11-03 | 国电联合动力技术有限公司 | Wind power plant tower drum vortex-induced vibration early warning method and early warning system |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| LU502837B1 (en) * | 2022-08-26 | 2024-02-26 | Huaneng Renewables Corporation Ltd Hebei Branch | Vortex-induced vibration suppression monitoring system for doubly-fed wind turbine generator set and the method thereof |
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