CN116292140B - Monitoring control method and monitoring control device for wind driven generator - Google Patents

Abstract

The invention relates to the technical field of wind turbines, and relates to a wind turbine monitoring and control method and a monitoring and control device. The steps of the method include: performing consistency correction on the yaw control device of the wind turbine, and the yaw control device adjusts the yaw control device according to the direction angle difference. Correct the initial direction of the wind turbine; after the initial direction correction of the wind turbine is completed, the wind speed and wind direction are collected through the wind speed and direction detection device. The yaw control device controls the rotation of the wind turbine according to the rotation angle of the wind turbine. Yaw control The device controls the non-faulty wind turbine to rotate to the wind turbine rotation angle, and the wind turbine starts generating electricity; if the wind speed collected by the wind speed and direction detection device is not greater than the power generation wind speed threshold, the wind turbine control device controls the wind turbine to stop generating electricity, and the wind turbine The management module turns on the ice melting module of the wind turbine to melt ice. If the wind turbine passes the test, it goes online again to complete the wind turbine monitoring and control.

Description

A wind turbine monitoring and control method and monitoring and control device

Technical field

The present invention relates to the technical field of wind turbines, and specifically to a wind turbine monitoring and control method and a monitoring and control device.

Background technique

At present, in order to improve the power generation efficiency of wind turbines, wind vane sensors are mainly used to collect wind direction angles, and then the collected wind direction angles are filtered. The filtered wind direction angles are used to calculate the wind deviation, and then the yaw is controlled based on the wind deviation. .

During the yaw movement, if the wind turbine encounters icing or other faults, if not handled in time, it will cause further damage to the wind turbine. Therefore, how to monitor and eliminate faults during the yaw control process of the wind turbine , is a problem that researchers need to solve.

Contents of the invention

The object of the present invention is to provide a wind turbine monitoring and control method and a monitoring and control device. Through the technical solution provided by the invention, the fault monitoring of the wind turbine during the yaw process can be realized, and wind turbine faults can be discovered in a timely manner and effectively This avoids further damage to the wind turbine due to failure.

The embodiments of the present invention are implemented through the following technical solutions:

A wind turbine monitoring and control method includes the following steps:

Step 1: Perform consistency correction on the yaw control device of the wind turbine. After the consistency correction is completed, obtain the initial direction of each wind turbine in the installed wind farm, and obtain the power generation of each wind turbine according to the set main wind direction. The yaw control device corrects the initial direction of the wind turbine based on the directional angle difference between the machine's initial direction and the main wind direction;

Step 2: After the initial direction correction of the wind turbine is completed, the wind speed and wind direction are collected through the wind speed and direction detection device, and the characteristic wind is obtained. If the wind speed of the characteristic wind is not less than the set power generation wind speed threshold, the cloud data service module will calculate the wind speed according to the wind direction. , obtain the rotation angle of the wind turbine, and distribute the rotation angle of the wind turbine to the yaw control device of each wind turbine. The yaw control device controls the rotation of the wind turbine according to the rotation angle of the wind turbine, and simultaneously collects the rotation of each wind turbine. Process data is sent to the fault detection and judgment module for fault detection and judgment, and enters step three;

Step 3: The fault detection and judgment module determines whether there is a Class I fault in the wind turbine based on the collected data of the rotation process of each wind turbine. If it is judged that the wind turbine has a Class I fault, the fault detection and judgment module uses yaw control The device stops the rotation of the first-category faulty wind turbine, and the yaw control device controls the non-faulty wind turbine to rotate to the wind turbine rotation angle, and the wind turbine enters power generation; at the same time, the fault detection and judgment module exits the first-category fault detection and judgment, and detects The received first-class fault data and the corresponding wind turbine number are sent to the wind turbine management module and enter step four;

Step 4: Obtain the rotational speed of each non-faulty wind turbine. The fault detection and judgment module determines whether the wind turbine has a Class II fault based on the collected blade rotation speed of each non-faulty wind turbine. If it is determined that the wind turbine has a Class II fault, Then the wind turbine control device stops the rotation of the faulty wind turbine blades; if the wind speed collected by the wind speed and direction detection device is not greater than the power generation wind speed threshold, the wind turbine control device controls the wind turbine to stop power generation, and the fault detection and judgment module exits the second category. Fault detection and judgment, send the detected Class II fault data and the corresponding Class II fault wind turbine number to the wind turbine management module, and enter step five;

Step 5: The cloud data service module obtains the occurrence frequency of the characteristic wind. If the occurrence frequency is greater than the set threshold, the wind turbine maintains yaw. Otherwise, the yaw control device controls the wind turbine to return to the main wind direction and enters step 6;

Step 6: The wind turbine management module starts the ice melting module of the wind turbine to melt ice based on the number of the first-class faulty wind turbine and the number of the second-class faulty wind turbine. After completing the ice melting, the wind turbine is tested. If the wind If the generator passes the test, it will go online again, and the direction of the wind turbine will be adjusted to be consistent with the direction of the non-faulty wind turbine to complete the wind turbine monitoring and control.

Further, the described consistency correction of the yaw control device of the wind turbine includes: testing the yaw control device of each wind turbine by testing the rotation angle, and collecting the rotation angle of each wind turbine. If If the difference between the rotation angle of each wind turbine and the test rotation angle is not greater than the test difference threshold, then the yaw control device of each wind turbine meets the consistency requirements. Otherwise, the wind force greater than the test difference threshold will be The yaw control device of the generator is adjusted or replaced until the consistency requirements are met and the consistency correction is completed.

Further, the yaw control device corrects the initial direction of the wind turbine according to the direction angle difference, including: the yaw control device controls the wind turbine to rotate in the main wind direction according to the direction angle difference.

Further, the cloud data service module obtains the rotation angle of the wind turbine based on the wind direction, including: obtaining the rotation angle of the wind turbine based on the angle difference between the wind direction and the main wind direction.

Further, the fault detection and judgment module determines whether there is a type of fault in the wind turbine based on the collected data of the rotation process of each wind turbine, including: the data of the rotation process of the wind turbine is the rotation of the wind turbine. If the difference between the angular velocity and the set standard rotation angular velocity is greater than the deviation threshold, it is judged that the wind turbine has a type of fault.

Further, the fault detection and judgment module determines whether there is a type II fault in the wind turbine based on the collected blade speeds of each non-faulty wind turbine, including: obtaining the blade speed of each non-faulty wind turbine and obtaining the average blade speed. , if there is a wind turbine that is lower than the average blade speed and greater than the set speed ratio, then the wind turbine is a Category II fault wind turbine; the speed ratio is:

Further, after the ice melting is completed, wind turbine testing is performed, including:

If the wind turbine is a Category 1 faulty wind turbine, a yaw rotation test is performed. If the difference between the angular velocity of the wind turbine during rotation and the set standard rotation angular velocity is not greater than the deviation threshold, the test passes;

If it is a Category II faulty wind turbine, perform a blade rotation test. If the difference between the blade rotation speed during the wind turbine blade rotation process and the set test blade rotation speed is not greater than the blade rotation speed deviation threshold, the test passes. .

A wind turbine monitoring and control device, applying the wind turbine monitoring and control method, including a wind turbine control device, a wind speed and direction detection device, a yaw control device, a rotational speed detection device, a cloud data service module, and a fault detection device and judgment module, communication module, ice melting module and wind turbine management module;

The wind turbine control device, wind speed and direction detection device, yaw control device, rotation speed detection device, fault detection and judgment module, communication module, and ice melting module are respectively connected to the wind turbine management module, and the The cloud data service module is communicatively connected with the communication module.

Further, the rotation speed detection device includes a wind turbine rotation angular velocity detection device and a wind turbine blade rotation speed; the wind turbine rotation angular velocity detection device and wind turbine blade rotation speed are respectively related to the wind turbine blade rotation speed. Management module connection.

The technical solutions of the embodiments of the present invention have at least the following advantages and beneficial effects:

Through the technical solution provided by the present invention, it is possible to monitor the fault of the wind turbine during the yaw process, detect the fault of the wind turbine in a timely manner, and effectively avoid further damage to the wind turbine due to the fault.

Description of the drawings

Figure 1 is a schematic flow chart of a wind turbine monitoring and control method provided by the present invention;

Figure 2 is a schematic diagram of the principle of a wind turbine monitoring and control device provided by the present invention.

Detailed ways

In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments These are some embodiments of the present invention, rather than all embodiments. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations.

As shown in Figure 1, the present invention provides a first embodiment: a wind turbine monitoring and control method, which includes the following steps:

Step 1: Perform consistency correction on the yaw control device of the wind turbine. After the consistency correction is completed, obtain the initial direction of each wind turbine in the installed wind farm, and obtain the power generation of each wind turbine according to the set main wind direction. The yaw control device corrects the initial direction of the wind turbine based on the directional angle difference between the machine's initial direction and the main wind direction;

Step 2: After the initial direction correction of the wind turbine is completed, the wind speed and wind direction are collected through the wind speed and direction detection device, and the characteristic wind is obtained. If the wind speed of the characteristic wind is not less than the set power generation wind speed threshold, the cloud data service module will calculate the wind speed according to the wind direction. , obtain the rotation angle of the wind turbine, and distribute the rotation angle of the wind turbine to the yaw control device of each wind turbine. The yaw control device controls the rotation of the wind turbine according to the rotation angle of the wind turbine, and simultaneously collects the rotation of each wind turbine. Process data is sent to the fault detection and judgment module for fault detection and judgment, and enters step three;

Step 3: The fault detection and judgment module determines whether there is a Class I fault in the wind turbine based on the collected data of the rotation process of each wind turbine. If it is judged that the wind turbine has a Class I fault, the fault detection and judgment module uses yaw control The device stops the rotation of the first-category faulty wind turbine, and the yaw control device controls the non-faulty wind turbine to rotate to the wind turbine rotation angle, and the wind turbine enters power generation; at the same time, the fault detection and judgment module exits the first-category fault detection and judgment, and detects The received first-class fault data and the corresponding wind turbine number are sent to the wind turbine management module and enter step four;

Step 4: Obtain the rotational speed of each non-faulty wind turbine. The fault detection and judgment module determines whether the wind turbine has a Class II fault based on the collected blade rotation speed of each non-faulty wind turbine. If it is determined that the wind turbine has a Class II fault, Then the wind turbine control device stops the rotation of the faulty wind turbine blades; if the wind speed collected by the wind speed and direction detection device is not greater than the power generation wind speed threshold, the wind turbine control device controls the wind turbine to stop power generation, and the fault detection and judgment module exits the second category. Fault detection and judgment, send the detected Class II fault data and the corresponding Class II fault wind turbine number to the wind turbine management module, and enter step five;

Step 5: The cloud data service module obtains the occurrence frequency of the characteristic wind. If the occurrence frequency is greater than the set threshold, the wind turbine maintains yaw. Otherwise, the yaw control device controls the wind turbine to return to the main wind direction and enters step 6;

Step 6: The wind turbine management module starts the ice melting module of the wind turbine to melt ice based on the number of the first-class faulty wind turbine and the number of the second-class faulty wind turbine. After completing the ice melting, the wind turbine is tested. If the wind If the generator passes the test, it will go online again, and the direction of the wind turbine will be adjusted to be consistent with the direction of the non-faulty wind turbine to complete the wind turbine monitoring and control.

Further, the described consistency correction of the yaw control device of the wind turbine includes: testing the yaw control device of each wind turbine by testing the rotation angle, and collecting the rotation angle of each wind turbine. If If the difference between the rotation angle of each wind turbine and the test rotation angle is not greater than the test difference threshold, then the yaw control device of each wind turbine meets the consistency requirements. Otherwise, the wind force greater than the test difference threshold will be The yaw control device of the generator is adjusted or replaced until the consistency requirements are met and the consistency correction is completed.

Further, the yaw control device corrects the initial direction of the wind turbine according to the direction angle difference, including: the yaw control device controls the wind turbine to rotate in the main wind direction according to the direction angle difference.

Further, the cloud data service module obtains the rotation angle of the wind turbine based on the wind direction, including: obtaining the rotation angle of the wind turbine based on the angle difference between the wind direction and the main wind direction.

Further, the fault detection and judgment module determines whether there is a type of fault in the wind turbine based on the collected data of the rotation process of each wind turbine, including: the data of the rotation process of the wind turbine is the rotation of the wind turbine. If the difference between the angular velocity and the set standard rotation angular velocity is greater than the deviation threshold, it is judged that the wind turbine has a type of fault.

Further, the fault detection and judgment module determines whether there is a type II fault in the wind turbine based on the collected blade speeds of each non-faulty wind turbine, including: obtaining the blade speed of each non-faulty wind turbine and obtaining the average blade speed. , if there is a wind turbine that is lower than the average blade speed and greater than the set speed ratio, then the wind turbine is a Category II fault wind turbine; the speed ratio is:

Further, after the ice melting is completed, wind turbine testing is performed, including:

If the wind turbine is a Category 1 faulty wind turbine, a yaw rotation test is performed. If the difference between the angular velocity of the wind turbine during rotation and the set standard rotation angular velocity is not greater than the deviation threshold, the test passes;

If it is a Category II faulty wind turbine, perform a blade rotation test. If the difference between the blade rotation speed during the wind turbine blade rotation process and the set test blade rotation speed is not greater than the blade rotation speed deviation threshold, the test passes. .

As shown in Figure 2, the present invention provides a second embodiment: a wind turbine monitoring and control device, applying the wind turbine monitoring and control method, including a wind turbine control device, a wind speed and direction detection device, Yaw control device, speed detection device, cloud data service module, fault detection and judgment module, communication module, ice melting module and wind turbine management module;

The wind turbine control device, wind speed and direction detection device, yaw control device, rotation speed detection device, fault detection and judgment module, communication module, and ice melting module are respectively connected to the wind turbine management module, and the The cloud data service module is communicatively connected with the communication module.

Further, the rotation speed detection device includes a wind turbine rotation angular velocity detection device and a wind turbine blade rotation speed; the wind turbine rotation angular velocity detection device and wind turbine blade rotation speed are respectively related to the wind turbine blade rotation speed. Management module connection.

The wind turbine monitoring and control device provided in this embodiment is based on the same inventive concept as the wind turbine monitoring and control method provided in the above embodiment. For more specific working principles of each module in the embodiment of the present invention, refer to the above embodiment. No further details will be given in the embodiments of the present invention.

The above are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and changes. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention shall be included in the protection scope of the present invention.

Claims (7)

1. A wind driven generator monitoring control method is characterized by comprising the following steps:

step one, carrying out consistency correction on a yaw control device of a wind driven generator, after the consistency correction is finished, acquiring initial directions of all wind driven generators in a wind power plant with the wind driven generator being installed, acquiring direction angle differences between the initial directions of all wind driven generators and the main wind direction according to a set main wind direction, and correcting the initial directions of the wind driven generators according to the direction angle differences by the yaw control device;

step two, after the initial direction correction of the wind driven generator is completed, collecting wind speed and wind direction through a wind speed and wind direction detection device, obtaining characteristic wind, if the wind speed of the characteristic wind is not less than a set power generation wind speed threshold value, obtaining a wind driven generator rotation angle through a cloud data service module according to the wind direction, distributing the wind driven generator rotation angle to yaw control devices of all wind driven generators, controlling the wind driven generators to rotate according to the wind driven generator rotation angle through the yaw control devices, collecting data of all wind driven generator rotation processes, sending the data to a fault detection and judgment module to perform fault detection and judgment, and entering step three;

step three, a fault detection and judgment module judges whether the wind driven generator has one type of faults according to collected data of the rotation process of each wind driven generator, if the wind driven generator has one type of faults, the fault detection and judgment module stops the rotation of the wind driven generator with one type of faults through a yaw control device, and the yaw control device controls the wind driven generator without faults to rotate to a wind driven generator rotation angle, so that the wind driven generator enters into power generation; meanwhile, the fault detection and judgment module exits the type of fault detection and judgment, the detected type of fault data and the corresponding wind driven generator number are sent to the wind driven generator management module, and the step four is entered;

step four, the rotating speed of each wind driven generator without faults is obtained, the fault detection and judgment module judges whether the wind driven generator has a type II fault according to the collected rotating speeds of the blades of each wind driven generator without faults, and if the wind driven generator has the type II fault, the wind driven generator stops rotating the blades of the wind driven generator with faults through the wind driven generator control device; if the wind speed collected by the wind speed and wind direction detection device is not greater than the power generation wind speed threshold value, the wind driven generator control device controls the wind driven generator to stop generating power, meanwhile, the fault detection and judgment module exits the second-class fault detection and judgment, the detected second-class fault data and the corresponding second-class fault wind driven generator number are sent to the wind driven generator management module, and the step five is entered;

step five, the cloud data service module obtains the occurrence frequency of characteristic wind, if the occurrence frequency is larger than a set threshold value, the wind driven generator keeps yaw, if not, the yaw control device controls the wind driven generator to return to the main wind direction, and step six is carried out;

step six, the wind driven generator management module starts an ice melting module of the wind driven generator to melt ice according to the serial numbers of the first-class fault wind driven generator and the serial numbers of the second-class fault wind driven generator, and after ice melting is completed, wind driven generator test is performed, if the wind driven generator passes the test, the wind driven generator is on line again, and the direction of the wind driven generator is adjusted to be consistent with the direction of the wind driven generator without faults, so that wind driven generator monitoring control is completed;

the fault detection and judgment module judges whether the wind driven generator has a fault according to the collected data of the rotation process of each wind driven generator, and comprises the following steps: the data of the wind driven generator in the rotation process are the rotational angular speed of the wind driven generator, and if the difference value between the rotational angular speed and the set standard rotational angular speed is larger than a deviation threshold value, the wind driven generator is judged to have a fault;

the fault detection and judgment module judges whether the wind driven generator has a second class of faults according to the collected rotation speeds of the blades of the wind driven generator without faults, and the fault detection and judgment module comprises: obtaining the rotating speeds of blades of all the wind driven generators without faults to obtain average rotating speeds of the blades, and if the wind driven generator which is lower than the average rotating speeds of the blades and is larger than the set rotating speed proportion exists, the wind driven generator is a type II fault wind driven generator; the rotating speed ratio is as follows:

2. the method for monitoring and controlling a wind power generator according to claim 1, wherein the step of performing consistency correction on a yaw control device of the wind power generator comprises: and testing and running the yaw control devices of all the wind driven generators through the test rotation angles, collecting the rotation angles of all the wind driven generators, if the difference value between the rotation angles of all the wind driven generators and the test rotation angles is not larger than a test difference value threshold value, adjusting or replacing the yaw control devices of all the wind driven generators larger than the test difference value threshold value until the consistency requirement is met, and finishing consistency correction.

3. The wind power generator monitoring control method according to claim 2, wherein the yaw control device corrects an initial direction of the wind power generator according to the direction angle difference, comprising: the yaw control device controls the wind driven generator to rotate towards the main wind direction according to the direction angle difference.

4. The wind power generator monitoring and controlling method according to claim 3, wherein the cloud data service module obtains a rotation angle of the wind power generator according to the wind direction, and the method comprises the following steps: and obtaining the rotation angle of the wind driven generator according to the angle difference between the wind direction and the main wind direction.

5. The method for monitoring and controlling a wind power generator according to claim 4, wherein the step of performing the wind power generator test after the ice melting is completed comprises:

if the wind driven generator is a fault wind driven generator, performing yaw rotation test, and if the difference value between the angular speed of the wind driven generator in the rotation process and the set standard rotation angular speed is not greater than a deviation threshold value, passing the test;

if the wind driven generator is a type II fault wind driven generator, carrying out blade rotation test, and if the difference value between the blade rotation speed of the wind driven generator in the blade rotation process and the set test blade rotation speed is not greater than the blade rotation speed deviation threshold value, passing the test.

6. A wind driven generator monitoring control device, which is applied to the wind driven generator monitoring control method according to any one of claims 1-5, and is characterized by comprising a wind driven generator control device, a wind speed and direction detection device, a yaw control device, a rotation speed detection device, a cloud data service module, a fault detection and judgment module, a communication module, an ice melting module and a wind driven generator management module;

the wind driven generator control device, the wind speed and direction detection device, the yaw control device, the rotating speed detection device, the fault detection and judgment module, the communication module and the ice melting module are respectively connected with the wind driven generator management module, and the cloud data service module is in communication connection with the communication module.

7. The wind power generator monitoring and controlling device according to claim 6, wherein the rotation speed detecting device comprises a wind power generator rotation angular speed detecting device and a wind power generator blade rotation speed; the wind driven generator rotation angular speed detection device and the wind driven generator blade rotation speed are respectively connected with the wind driven generator management module.