CN118728644A - Wind turbine yaw correction method and system based on laser wind radar - Google Patents

Abstract

The present invention provides a wind turbine yaw correction method and system based on a laser wind measuring radar. Based on the installation status information of each of the laser wind measuring radars located in a preset range in front of a wind turbine array, the wind measurement status of the laser wind measuring radar is corrected to improve the wind measurement accuracy of the laser wind measuring radar. The wind measurement data generated by all the laser wind measuring radars are analyzed to determine the airflow status in the vicinity of the respective positions of all the laser wind measuring radars, thereby predicting the airflow distribution characteristic information received by the wind turbine array, and realizing accurate prediction of the actual airflow effect on the wind turbine array. Based on the airflow distribution characteristic information, it is determined whether an abnormal airflow event occurs in the preset range in front. When no abnormal airflow event occurs, the deviation information of each fan from the airflow direction is determined based on the airflow distribution characteristic information and the posture information of each fan under the wind turbine array, thereby performing yaw correction on each fan to improve the operation efficiency and stability of the fan.

Description

Wind turbine yaw correction method and system based on laser wind radar

Technical Field

The present invention relates to the field of wind turbine control, and in particular to a wind turbine yaw correction method and system based on a laser wind radar.

Background Art

As a clean energy, the current development efficiency of wind power is still low. As the main equipment for wind power generation, wind turbines drive the blades to rotate when the airflow flows through the blades of the wind turbine, thereby generating electricity. The speed at which the airflow drives the blades of the wind turbine to rotate is related to the flow direction of the airflow relative to the blades. Generally speaking, when the flow direction of the airflow is consistent with the yaw direction of the main axis of rotation of the blades, the airflow can drive the blades to rotate to the maximum extent when passing through the blades of the wind turbine, thereby improving the conversion efficiency of wind energy into electrical energy. For this reason, a wind direction sensor is usually installed on the wind turbine to detect the flow direction of the airflow. However, the wind direction of the airflow detected by the wind direction sensor cannot accurately reflect the actual flow direction of the airflow in front of the blades of the wind turbine, and cannot provide a reliable and accurate basis for the yaw correction of the wind turbine, thereby reducing the operation efficiency and stability of the wind turbine.

Summary of the invention

The object of the present invention is to provide a yaw correction method and system for a wind turbine based on a laser wind measuring radar, which performs wind measurement state correction on the laser wind measuring radar based on the installation state information of all the laser wind measuring radars located in a preset range in front of a wind turbine array, thereby improving the wind measurement accuracy of the laser wind measuring radar; the wind measurement data generated by all the laser wind measuring radars are analyzed to determine the airflow state in the vicinity of the respective positions of all the laser wind measuring radars, thereby predicting the airflow distribution characteristic information received by the wind turbine array, and realizing accurate prediction of the actual airflow effect on the wind turbine array; based on the airflow distribution characteristic information, it is determined whether an abnormal airflow event occurs in the preset range in front; when an abnormal airflow event occurs, the operating state of the corresponding wind turbine is adjusted to avoid damage to the wind turbine due to the turbulent airflow; when no abnormal airflow event occurs, the deviation information of each wind turbine from the airflow direction is determined based on the airflow distribution characteristic information and the posture information of all the wind turbines under the wind turbine array, thereby performing yaw correction on each wind turbine, ensuring that the flow direction of the airflow is consistent with the yaw direction of the rotating main axis of the blade, and improving the operation efficiency and stability of the wind turbine.

The present invention is achieved through the following technical solutions:

The wind turbine yaw correction method based on laser wind radar includes:

Based on the installation status information of all the laser wind measuring radars located in a preset range in front of the wind turbine array, the wind measurement status of all the laser wind measuring radars is calibrated respectively; the wind measurement data generated by all the laser wind measuring radars are analyzed to determine the airflow status of the areas near the locations of all the laser wind measuring radars;

Based on the airflow state, predict the airflow distribution characteristic information received by the fan array; based on the airflow distribution characteristic information, determine whether an abnormal airflow event occurs in the front preset range; when an abnormal airflow event occurs, adjust the operating state of the corresponding fan;

When no abnormal airflow event occurs, the deviation information of each fan from the airflow direction is determined based on the airflow distribution characteristic information and the posture information of all fans under the fan array; and yaw correction is performed on each fan based on the deviation information.

Optionally, based on the installation status information of all the laser wind measuring radars located in a preset range in front of the wind turbine array, the wind measurement status of all the laser wind measuring radars is calibrated respectively; the wind measurement data generated by all the laser wind measuring radars are analyzed to determine the airflow status of the areas near the respective locations of all the laser wind measuring radars, including:

Obtain the installation position coordinate information and installation altitude information of all laser wind measuring radars located in a preset range in front of the wind turbine array, and determine the theoretical wind measurement area range of all laser wind measuring radars in three-dimensional space based on the installation position coordinate information and the installation altitude information; perform wind measurement scanning range correction and wind measurement sensitivity correction on all laser wind measuring radars based on the wind measurement area range of all laser wind measuring radars, so that all laser wind measuring radars can perform global coverage scanning detection on the preset range in front and all laser wind measuring radars have consistent wind measurement sensitivity;

The wind measurement data generated by all the laser wind measuring radars are analyzed to obtain the airflow direction distribution information and the airflow velocity distribution information of the area near the location of each laser wind measuring radar; based on the airflow direction distribution information and the airflow velocity distribution information, a wind field and airflow change model of the area near the location of each laser wind measuring radar is constructed; and based on the wind field and airflow change model of the area near the locations of all the laser wind measuring radars, an overall wind field and airflow change model corresponding to the preset range in front is fitted.

Optionally, based on the airflow state, predicting the airflow distribution characteristic information received by the fan array; based on the airflow distribution characteristic information, judging whether an abnormal airflow event occurs in the front preset range; when an abnormal airflow event occurs, adjusting the operating state of the corresponding fan, including:

Based on the spatial position information corresponding to the plane where the blades of all the fans under the fan array are located and the overall wind field airflow change model, the airflow direction distribution information and airflow velocity distribution information of the plane area covered by the rotation of the blades of each fan corresponding to the front space range are obtained; based on the airflow direction distribution information and the airflow velocity distribution information, the airflow vortex intensity of the front space range is obtained; the airflow vortex intensity is compared with a preset intensity threshold, and if the airflow vortex intensity is greater than or equal to the preset intensity threshold, it is judged that an abnormal airflow event occurs in the front space range; otherwise, it is judged that no abnormal airflow event occurs in the front space range;

When an abnormal airflow event occurs, based on the overall wind field airflow change model, it is predicted that the airflow vortex existing in the front space range corresponding to the corresponding wind fan completely passes through the planar area covered by the rotation of the blades of the corresponding wind fan, so that the corresponding wind fan is switched to a non-power generation operation state within the crossing time interval.

Optionally, when no abnormal airflow event occurs, the deviation information of each fan from the airflow direction is determined based on the airflow distribution characteristic information and the posture information of all fans under the fan array; and yaw correction is performed on each fan based on the deviation information, including:

When no abnormal airflow event occurs, the main airflow direction angle corresponding to the plane area covered by the rotation of the blades of each fan is determined based on the airflow direction distribution information of the plane area covered by the rotation of the blades of each fan corresponding to the front space range; and the yaw attitude angle of the rotation main axis of each fan is determined based on the rotation main axis attitude information of all fans under the fan array; and then based on the main airflow direction angle and the yaw attitude angle of the rotation main axis, the yaw angle between the rotation main axis of each fan and the corresponding main airflow is determined;

Based on the real-time rotation speed of the rotating shaft of the fan, it is determined whether the rotating shaft of the fan is in a rotation limit state; when the rotating shaft of the fan is in a rotation limit state, the rotating shaft of the fan is controlled to perform multiple yaw corrections to rotate the yaw angle; when the rotating shaft of the fan is not in a rotation limit state, the rotating shaft of the fan is controlled to perform a single yaw correction to rotate the yaw angle.

The wind turbine yaw correction system based on laser wind radar includes:

A laser wind radar correction module is used to perform wind measurement status correction on all the laser wind radars based on the respective installation status information of all the laser wind radars located in a preset range in front of the wind turbine array;

The airflow state determination module is used to analyze the wind measurement data generated by all the laser wind measurement radars to determine the airflow state in the vicinity of the respective locations of all the laser wind measurement radars;

An airflow distribution characteristic information prediction module, used to predict the airflow distribution characteristic information received by the fan array based on the airflow state;

An abnormal airflow event recognition module is used to determine whether an abnormal airflow event occurs in the front preset range based on the airflow distribution characteristic information;

The fan operation adjustment module is used to adjust the operation status of the corresponding fan when an abnormal airflow event occurs;

The fan yaw correction module is used to determine the deviation information of each fan from the airflow direction based on the airflow distribution characteristic information and the respective posture information of all fans under the fan array when no abnormal airflow event occurs; based on the deviation information, perform yaw correction on each fan.

Optionally, the laser wind radar correction module is used to perform wind measurement state correction on all the laser wind radars respectively based on the installation state information of all the laser wind radars located in a preset range in front of the wind turbine array, including:

Obtain the installation position coordinate information and installation altitude information of all laser wind measuring radars located in a preset range in front of the wind turbine array, and determine the theoretical wind measurement area range of all laser wind measuring radars in three-dimensional space based on the installation position coordinate information and the installation altitude information; perform wind measurement scanning range correction and wind measurement sensitivity correction on all laser wind measuring radars based on the wind measurement area range of all laser wind measuring radars, so that all laser wind measuring radars can perform global coverage scanning detection on the preset range in front and all laser wind measuring radars have consistent wind measurement sensitivity;

The airflow state determination module is used to analyze the wind measurement data generated by all the laser wind measurement radars to determine the airflow state of the areas near the respective locations of all the laser wind measurement radars, including:

The wind measurement data generated by all the laser wind measuring radars are analyzed to obtain the airflow direction distribution information and the airflow velocity distribution information of the area near the location of each laser wind measuring radar; based on the airflow direction distribution information and the airflow velocity distribution information, a wind field and airflow change model of the area near the location of each laser wind measuring radar is constructed; and based on the wind field and airflow change model of the area near the locations of all the laser wind measuring radars, an overall wind field and airflow change model corresponding to the preset range in front is fitted.

Optionally, each laser wind measuring radar is provided with a turntable, the rotation axis of the turntable is parallel to the direction directly in front of the wind turbine array, and each laser side wind radar performs rotating wind measurement on its corresponding turntable, which includes:

Step S1, first stop the rotation of the turntable, and use the following formula (1) to control the rotation speed of the corresponding turntable according to the first wind speed value measured by the laser wind radar, so as to avoid the rotation of the turntable affecting the speed measurement.

In the above formula (1), ω represents the controlled rotation speed of the turntable corresponding to the laser wind radar; ω _M represents the maximum control speed value of the turntable under the controllable condition; ω _min represents the preset minimum speed value of the turntable; M represents the total number of wind turbines in the wind turbine array; B represents the total number of the laser wind radars; Q ₁ represents the first wind speed value measured by the laser wind radar; q ₀ represents the unit wind speed value with a value of 1 and the same unit as Q ₁ ; max[,] represents the maximum value of the values on both sides of the comma in the brackets;

Step S2, using the following formula (2), according to the rotation speed of the turntable and the acquisition frequency of the laser wind radar, controls the number of wind measurement data collected by the turntable rotating one circle,

In the above formula (2), N represents the number of wind measurement data collected when the turntable rotates one circle; f represents the collection frequency of the laser wind measurement radar; Indicates rounding down;

Step S3, using the following formula (3), data integration is performed based on the wind measurement data collected when the turntable rotates one circle to obtain the integrated wind speed value:

In the above formula (3), g represents the integrated wind speed value obtained by data integration; G(a) represents the a-th wind speed value collected when the turntable rotates one circle.

Optionally, the airflow distribution characteristic information prediction module is used to predict the airflow distribution characteristic information received by the fan array based on the airflow state, including:

Based on the spatial position information corresponding to the plane where the blades of all the fans under the fan array are located and the overall wind field airflow change model, the airflow direction distribution information and airflow speed distribution information of the plane area covered by the rotation of the blades of each fan corresponding to the front space range are obtained;

The abnormal airflow event recognition module is used to determine whether an abnormal airflow event occurs in the front preset range based on the airflow distribution characteristic information, including:

Based on the airflow direction distribution information and the airflow speed distribution information, the airflow vortex intensity in the front space range is obtained; the airflow vortex intensity is compared with a preset intensity threshold, and if the airflow vortex intensity is greater than or equal to the preset intensity threshold, it is determined that an abnormal airflow event occurs in the front space range; otherwise, it is determined that no abnormal airflow event occurs in the front space range;

The fan operation adjustment module is used to adjust the operation state of the corresponding fan when an abnormal airflow event occurs, including:

When an abnormal airflow event occurs, based on the overall wind field airflow change model, it is predicted that the airflow vortex existing in the space in front of the corresponding wind fan will completely pass through the plane area covered by the rotation of the blades of the corresponding wind fan during the crossing time interval, so that the corresponding wind fan can switch to a non-power generation operation state within the crossing time interval.

Optionally, the fan yaw correction module is used to determine the deviation information of each fan from the airflow direction based on the airflow distribution characteristic information and the respective posture information of all fans under the fan array when no abnormal airflow event occurs; and perform yaw correction on each fan based on the deviation information, including:

When no abnormal airflow event occurs, the main airflow direction angle corresponding to the plane area covered by the rotation of the blades of each fan is determined based on the airflow direction distribution information of the plane area covered by the rotation of the blades of each fan corresponding to the front space range; and the yaw attitude angle of the rotation main axis of each fan is determined based on the rotation main axis attitude information of all fans under the fan array; and then based on the main airflow direction angle and the yaw attitude angle of the rotation main axis, the yaw angle between the rotation main axis of each fan and the corresponding main airflow is determined;

Based on the real-time rotation speed of the rotating shaft of the fan, it is determined whether the rotating shaft of the fan is in a rotation limit state; when the rotating shaft of the fan is in a rotation limit state, the rotating shaft of the fan is controlled to perform multiple yaw corrections to rotate the yaw angle; when the rotating shaft of the fan is not in a rotation limit state, the rotating shaft of the fan is controlled to perform a single yaw correction to rotate the yaw angle.

Compared with the prior art, the present invention has the following beneficial effects:

The wind turbine yaw correction method and system based on laser wind measuring radar provided in the present application are based on the installation status information of all laser wind measuring radars located in a preset range in front of the wind turbine array, and the wind measurement status of the laser wind measuring radar is corrected to improve the wind measurement accuracy of the laser wind measuring radar; the wind measurement data generated by all laser wind measuring radars are analyzed to determine the airflow status of the areas near the respective locations of all laser wind measuring radars, so as to predict the airflow distribution characteristic information received by the wind turbine array, and realize accurate prediction of the actual airflow effect on the wind turbine array; based on the airflow distribution characteristic information, it is judged whether an abnormal airflow event occurs in the preset range in front; when an abnormal airflow event occurs, the operating status of the corresponding fan is adjusted to avoid damage to the fan due to turbulent airflow; when no abnormal airflow event occurs, the deviation information of each fan from the airflow direction is determined based on the airflow distribution characteristic information and the posture information of all fans under the wind turbine array, so as to perform yaw correction on each fan, ensure that the flow direction of the airflow is consistent with the yaw direction of the rotating main axis of the blade, and improve the operation efficiency and stability of the fan.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

FIG1 is a schematic flow chart of a method for correcting a wind turbine yaw based on a laser wind radar provided by the present invention.

FIG2 is a schematic structural diagram of a wind turbine yaw correction system based on a laser wind radar provided by the present invention.

DETAILED DESCRIPTION

In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are described in detail below in conjunction with the accompanying drawings. It is understandable that the specific embodiments described herein are only used to explain the present application, rather than to limit the present application. It should also be noted that, for ease of description, only some structures related to the present application are shown in the accompanying drawings, rather than all structures. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

The terms "including" and "having" and any variations thereof in this application are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products or devices.

Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

Please refer to FIG1 , a method for correcting the yaw of a wind turbine based on a laser wind radar is provided in one embodiment of the present application. The method for correcting the yaw of a wind turbine based on a laser wind radar comprises:

Based on the installation status information of all the laser wind measuring radars located in a preset range in front of the wind turbine array, the wind measurement status of all the laser wind measuring radars is calibrated respectively; the wind measurement data generated by all the laser wind measuring radars are analyzed to determine the airflow status of the areas near the locations of all the laser wind measuring radars;

Based on the airflow state, predict the airflow distribution characteristic information received by the fan array; based on the airflow distribution characteristic information, determine whether an abnormal airflow event occurs in the front preset range; when an abnormal airflow event occurs, adjust the operating state of the corresponding fan;

When no abnormal airflow event occurs, the deviation information of each fan from the airflow direction is determined based on the airflow distribution characteristic information and the posture information of all fans under the fan array; and yaw correction is performed on each fan based on the deviation information.

The beneficial effects of the above embodiments are as follows: the laser wind radar-based wind turbine yaw correction method corrects the wind measurement state of the laser wind radar based on the installation state information of all the laser wind radars located in the preset range in front of the wind turbine array, thereby improving the wind measurement accuracy of the laser wind radar; the wind measurement data generated by all the laser wind radars are analyzed to determine the airflow state in the vicinity of the respective positions of all the laser wind radars, thereby predicting the airflow distribution characteristic information received by the wind turbine array, and accurately predicting the actual airflow effect on the wind turbine array; based on the airflow distribution characteristic information, it is determined whether an abnormal airflow event occurs in the preset range in front; when an abnormal airflow event occurs, the operating state of the corresponding fan is adjusted to prevent the fan from being damaged by the turbulent airflow; when no abnormal airflow event occurs, the deviation information of each fan from the airflow direction is determined based on the airflow distribution characteristic information and the posture information of all the fans under the fan array, thereby performing yaw correction on each fan, ensuring that the flow direction of the airflow is consistent with the yaw direction of the rotating main axis of the blade, and improving the operation efficiency and stability of the fan.

In another embodiment, based on the installation status information of all the laser wind measuring radars located in a preset range in front of the wind turbine array, the wind measurement status of all the laser wind measuring radars is calibrated respectively; the wind measurement data generated by all the laser wind measuring radars are analyzed to determine the airflow status of the area near the respective locations of all the laser wind measuring radars, including:

Obtain the installation position coordinate information and installation altitude information of all laser wind measuring radars located in a preset range in front of the wind turbine array, and determine the theoretical wind measurement area range of all laser wind measuring radars in three-dimensional space based on the installation position coordinate information and the installation altitude information; perform wind measurement scanning range correction and wind measurement sensitivity correction on all laser wind measuring radars based on the wind measurement area range of all laser wind measuring radars, so that all laser wind measuring radars can perform global coverage scanning detection on the preset range in front and all laser wind measuring radars have consistent wind measurement sensitivity;

The wind measurement data generated by all the laser wind measuring radars are analyzed to obtain the airflow direction distribution information and the airflow velocity distribution information of the area near the location of each laser wind measuring radar; based on the airflow direction distribution information and the airflow velocity distribution information, a wind field and airflow change model of the area near the location of each laser wind measuring radar is constructed; and based on the wind field and airflow change model of the area near the locations of all the laser wind measuring radars, an overall wind field and airflow change model corresponding to the preset range in front is fitted.

The beneficial effect of the above-mentioned embodiment is that in the actual control operation of the wind turbine, a number of laser wind measuring radars are usually set in an area with a preset distance in front of the wind turbine, so that the laser wind measuring radar can detect the airflow state that has not reached the wind turbine array in advance, thereby accurately predicting the actual airflow state corresponding to the respective positions of all the wind turbines under the wind turbine array, thereby providing a reliable basis for adjusting the operating state and yaw state of the wind turbine. In order to ensure the wind measurement accuracy of the laser wind radar, the theoretical wind measurement area range of all laser wind radars in three-dimensional space is determined based on the installation position coordinate information and installation altitude information of all laser wind radars located in the preset range in front of the wind turbine array, so as to perform wind measurement scanning range correction and wind measurement sensitivity correction on all laser wind radars, wherein the wind measurement scanning range correction may be but not limited to increasing or decreasing the wind measurement scanning range of the laser wind radar, and the wind measurement sensitivity correction may be but not limited to increasing or decreasing the wind measurement sensitivity of the laser wind radar, so as to ensure that all laser wind radars can perform global coverage scanning detection on the preset range in front and all laser wind radars have consistent wind measurement sensitivity, effectively avoiding the occurrence of wind measurement omissions. Among them, the laser wind radar performs laser scanning on the space environment, and detects the Doppler frequency shift of the laser due to the wind speed and wind direction during the scanning process, and calculates the wind speed and wind direction based on the Doppler frequency domain. It is a commonly used wind measurement equipment in this field, and will not be described in detail here. In addition, the wind measurement data generated by all laser wind radars are analyzed to obtain the airflow direction distribution information and airflow velocity distribution information of the area near the location of each laser wind radar, and then data modeling is performed based on the airflow direction distribution information and the airflow velocity distribution information to obtain the wind field airflow change model of the area near the location of each laser wind radar, so as to accurately predict the wind field airflow conditions in the area in front of each wind turbine. Based on the wind field airflow change model of the area near the location of all laser wind radars, the overall wind field airflow change model corresponding to the preset range in front is fitted to achieve global characterization of the wind field airflow in the area in front of the entire wind turbine array.

In another embodiment, based on the airflow state, predicting the airflow distribution characteristic information received by the fan array; based on the airflow distribution characteristic information, determining whether an abnormal airflow event occurs in the front preset range; when an abnormal airflow event occurs, adjusting the operating state of the corresponding fan, including:

Based on the spatial position information corresponding to the plane where the blades of all the fans under the fan array are located and the airflow change model of the overall wind field, the airflow direction distribution information and the airflow velocity distribution information of the plane area covered by the rotation of the blades of each fan corresponding to the front space range are obtained; based on the airflow direction distribution information and the airflow velocity distribution information, the airflow vortex intensity of the front space range is obtained; the airflow vortex intensity is compared with a preset intensity threshold, and if the airflow vortex intensity is greater than or equal to the preset intensity threshold, it is judged that an abnormal airflow event occurs in the front space range; otherwise, it is judged that no abnormal airflow event occurs in the front space range;

When an abnormal airflow event occurs, based on the overall wind field airflow change model, it is predicted that the airflow vortex existing in the space in front of the corresponding wind turbine will completely pass through the plane area covered by the rotation of the blades of the corresponding wind turbine, so that the corresponding wind turbine will switch to a non-power generation operation state within the crossing time interval.

The beneficial effect of the above embodiment is that the spatial position information corresponding to the plane where the blades of all the fans under the fan array are located is used as a reference to calibrate and identify the airflow change model of the overall wind field at the spatial level, and obtain the airflow direction distribution information and airflow velocity distribution information of the plane area covered by the rotation of the blades of each fan corresponding to the front space range, so as to determine the airflow vortex intensity to the front space range, so as to accurately identify the airflow vortex interference to each fan. The airflow vortex intensity is compared with the preset intensity threshold. If the airflow vortex intensity is greater than or equal to the preset intensity threshold, it indicates that the airflow vortex interference has a greater impact on the operation of the fan, and may cause irreversible damage to the fan. At this time, it is determined that an abnormal airflow event has occurred in the front space range; otherwise, it is determined that no abnormal airflow event has occurred in the front space range, which is convenient for subsequent targeted adjustment of the operating state of the fan to ensure the safety of the fan operation. In addition, when an abnormal airflow event occurs, based on the overall wind field airflow change model, it is predicted that the airflow vortex existing in the space in front of the corresponding fan completely passes through the plane area covered by the rotation of the blades of the corresponding fan, so that the corresponding fan is switched to a non-power generation operation state within the crossing time interval. When the fan is in the non-power generation operation state, its internal rotating transmission mechanism will be in a free state, that is, the fan can rotate freely under the action of the airflow vortex without generating reverse torque, thereby avoiding structural damage to the fan due to the action of the airflow vortex.

In another embodiment, when no abnormal airflow event occurs, the deviation information of each fan from the airflow direction is determined based on the airflow distribution characteristic information and the attitude information of all fans under the fan array; and yaw correction is performed on each fan based on the deviation information, including:

When no abnormal airflow event occurs, the main airflow direction angle corresponding to the plane area covered by the rotation of the blades of each fan is determined based on the airflow direction distribution information of the front space range corresponding to the plane area covered by the rotation of the blades of each fan; and the yaw attitude angle of the rotation main axis of each fan is determined based on the rotation main axis attitude information of all fans under the fan array; and then based on the main airflow direction angle and the yaw attitude angle of the rotation main axis, the yaw angle between the rotation main axis of each fan and the corresponding main airflow is determined;

Based on the real-time rotation speed of the rotating shaft of the fan, it is determined whether the rotating shaft of the fan is in a rotation limit state; when the rotating shaft of the fan is in a rotation limit state, the rotating shaft of the fan is controlled to perform multiple yaw corrections to rotate the yaw angle; when the rotating shaft of the fan is not in a rotation limit state, the rotating shaft of the fan is controlled to perform a single yaw correction to rotate the yaw angle.

The beneficial effects of the above embodiments are as follows: when no abnormal airflow event occurs, the main airflow direction angle corresponding to the plane area covered by the rotation of the blades of each fan is determined based on the airflow direction distribution information of the front space range corresponding to the plane area covered by the rotation of the blades of each fan; and the yaw attitude angle of the rotation main shaft of each fan is determined based on the rotation main shaft attitude information of all fans under the fan array, and then the angle difference between the main airflow direction angle and the yaw attitude angle of the rotation main shaft is determined, which is used as the main airflow direction angle and the yaw attitude angle of the rotation main shaft, so as to provide a reliable basis for the subsequent adjustment of the yaw direction of the rotation main shaft of the blade to be consistent with the flow direction of the airflow. In addition, the real-time rotation speed of the rotation main shaft of the fan is compared with the maximum rotation speed of the fan to determine whether the rotation main shaft of the fan is in the rotation limit state, so as to accurately identify the operating load of the fan. When the main axis of the fan is in the rotation limit state, the main axis of the fan is controlled to perform multiple yaw corrections to rotate the yaw angle, that is, the main axis of the fan is controlled to perform multiple yaw corrections at a preset angle rotation step to rotate the yaw angle, so as to avoid damage to the fan caused by large-span yaw angle adjustment while rotating at the limit. When the main axis of the fan is not in the rotation limit state, the main axis of the fan is controlled to perform a single yaw correction to rotate the yaw angle, so as to enable the fan to quickly switch to a suitable yaw direction and improve the operation efficiency of the fan.

Please refer to FIG. 2 , a wind turbine yaw correction system based on a laser wind radar is provided in one embodiment of the present application. The wind turbine yaw correction system based on a laser wind radar comprises:

A laser wind radar correction module is used to perform wind measurement status correction on all the laser wind radars based on the respective installation status information of all the laser wind radars located in a preset range in front of the wind turbine array;

The airflow state determination module is used to analyze the wind measurement data generated by all the laser wind measurement radars to determine the airflow state in the vicinity of the respective locations of all the laser wind measurement radars;

An airflow distribution characteristic information prediction module, used to predict the airflow distribution characteristic information received by the fan array based on the airflow state;

An abnormal airflow event recognition module is used to determine whether an abnormal airflow event occurs in the front preset range based on the airflow distribution characteristic information;

The fan operation adjustment module is used to adjust the operation status of the corresponding fan when an abnormal airflow event occurs;

The fan yaw correction module is used to determine the deviation information of each fan from the airflow direction based on the airflow distribution characteristic information and the respective posture information of all fans under the fan array when no abnormal airflow event occurs; based on the deviation information, yaw correction is performed on each fan.

The beneficial effects of the above embodiments are as follows: the wind turbine yaw correction system based on the laser wind radar performs wind measurement state correction on the laser wind radar based on the installation state information of all the laser wind radars located in the preset range in front of the wind turbine array, thereby improving the wind measurement accuracy of the laser wind radar; the wind measurement data generated by all the laser wind radars are analyzed to determine the airflow state in the vicinity of the respective positions of all the laser wind radars, thereby predicting the airflow distribution characteristic information received by the wind turbine array, and realizing accurate prediction of the actual airflow effect on the wind turbine array; based on the airflow distribution characteristic information, it is determined whether an abnormal airflow event occurs in the preset range in front; when an abnormal airflow event occurs, the operating state of the corresponding fan is adjusted to prevent the fan from being damaged by the turbulent airflow; when no abnormal airflow event occurs, the deviation information of each fan from the airflow direction is determined based on the airflow distribution characteristic information and the posture information of all the fans under the fan array, thereby performing yaw correction on each fan, ensuring that the flow direction of the airflow is consistent with the yaw direction of the rotating main axis of the blade, and improving the operation efficiency and stability of the fan.

In another embodiment, the laser wind radar correction module is used to perform wind measurement state correction on all the laser wind radars based on the installation state information of all the laser wind radars located in a preset range in front of the wind turbine array, including:

Obtain the installation position coordinate information and installation altitude information of all laser wind measuring radars located in a preset range in front of the wind turbine array, and determine the theoretical wind measurement area range of all laser wind measuring radars in three-dimensional space based on the installation position coordinate information and the installation altitude information; perform wind measurement scanning range correction and wind measurement sensitivity correction on all laser wind measuring radars based on the wind measurement area range of all laser wind measuring radars, so that all laser wind measuring radars can perform global coverage scanning detection on the preset range in front and all laser wind measuring radars have consistent wind measurement sensitivity;

The airflow state determination module is used to analyze the wind measurement data generated by all the laser wind measurement radars to determine the airflow state in the vicinity of the respective locations of all the laser wind measurement radars, including:

The wind measurement data generated by all the laser wind measuring radars are analyzed to obtain the airflow direction distribution information and the airflow velocity distribution information of the area near the location of each laser wind measuring radar; based on the airflow direction distribution information and the airflow velocity distribution information, a wind field airflow change model of the area near the location of each laser wind measuring radar is constructed; and based on the wind field airflow change model of the area near the location of all the laser wind measuring radars, an overall wind field airflow change model corresponding to the preset range in front is fitted.

The beneficial effect of the above-mentioned embodiment is that in the actual control operation of the wind turbine, a number of laser wind measuring radars are usually set in an area with a preset distance in front of the wind turbine, so that the laser wind measuring radar can detect the airflow state that has not reached the wind turbine array in advance, thereby accurately predicting the actual airflow state corresponding to the respective positions of all the wind turbines under the wind turbine array, thereby providing a reliable basis for adjusting the operating state and yaw state of the wind turbine. In order to ensure the wind measurement accuracy of the laser wind radar, the theoretical wind measurement area range of all laser wind radars in three-dimensional space is determined based on the installation position coordinate information and installation altitude information of all laser wind radars located in the preset range in front of the wind turbine array, so as to perform wind measurement scanning range correction and wind measurement sensitivity correction on all laser wind radars, wherein the wind measurement scanning range correction may be but not limited to increasing or decreasing the wind measurement scanning range of the laser wind radar, and the wind measurement sensitivity correction may be but not limited to increasing or decreasing the wind measurement sensitivity of the laser wind radar, so as to ensure that all laser wind radars can perform global coverage scanning detection on the preset range in front and all laser wind radars have consistent wind measurement sensitivity, effectively avoiding the occurrence of wind measurement omissions. Among them, the laser wind radar performs laser scanning on the space environment, and detects the Doppler frequency shift of the laser due to the wind speed and wind direction during the scanning process, and calculates the wind speed and wind direction based on the Doppler frequency domain. It is a commonly used wind measurement equipment in this field, and will not be described in detail here. In addition, the wind measurement data generated by all laser wind radars are analyzed to obtain the airflow direction distribution information and airflow velocity distribution information of the area near the location of each laser wind radar, and then data modeling is performed based on the airflow direction distribution information and the airflow velocity distribution information to obtain the wind field airflow change model of the area near the location of each laser wind radar, so as to accurately predict the wind field airflow conditions in the area in front of each wind turbine. Based on the wind field airflow change model of the area near the location of all laser wind radars, the overall wind field airflow change model corresponding to the preset range in front is fitted to achieve global characterization of the wind field airflow in the area in front of the entire wind turbine array.

In another embodiment, each laser wind measuring radar is provided with a turntable, the rotation axis of the turntable is parallel to the direction directly in front of the wind turbine array, and each laser side wind radar performs rotating wind measurement on its corresponding turntable, which includes:

Step S1, first stop the rotation of the turntable, and use the following formula (1) to control the rotation speed of the corresponding turntable according to the first wind speed value measured by the laser wind radar, so as to avoid the rotation of the turntable affecting the speed measurement.

In the above formula (1), ω represents the controlled rotation speed of the turntable corresponding to the laser wind radar; ω _M represents the maximum control speed value of the turntable under controllable conditions; ω _min represents the preset minimum speed value of the turntable; M represents the total number of wind turbines in the wind turbine array; B represents the total number of the laser wind radar; Q ₁ represents the first wind speed value measured by the laser wind radar; q ₀ represents the unit wind speed value with the same value as Q ₁ ; max[,] represents the maximum value of the values on both sides of the comma in the brackets;

Step S2, using the following formula (2), according to the rotation speed of the turntable and the acquisition frequency of the laser wind radar, controls the number of wind measurement data collected when the turntable rotates one circle,

In the above formula (2), N represents the number of wind measurement data collected when the turntable rotates one circle; f represents the collection frequency of the laser wind radar; Indicates rounding down;

Step S3, using the following formula (3), data integration is performed based on the wind measurement data collected when the turntable rotates one circle to obtain the integrated wind speed value:

In the above formula (3), g represents the integrated wind speed value obtained by data integration; G(a) represents the a-th wind speed value collected when the turntable rotates one circle.

The beneficial effect of the above embodiment is that the above formula (1) is used to control the rotation speed of the corresponding turntable according to the first wind speed value measured by the laser wind measuring radar, so as to avoid the rotation of the turntable affecting the speed measurement. At the same time, when the wind speed value is large, the rotation speed is reduced to increase the torque, thereby ensuring the reliability of the turntable rotation; then the above formula (2) is used to control the number of wind measurement data collected by the turntable after one rotation according to the rotation speed of the turntable and the acquisition frequency of the laser wind measuring radar, and one acquisition is reduced on the basis of saturated acquisition, thereby avoiding the numerical judgment interference caused by saturated acquisition and improving the calculation efficiency of the system; then the above formula (3) is used to integrate the wind measurement data collected by the turntable after one rotation to obtain the integrated wind speed value. Since there will be rotation error when the turntable rotates, weighted calculation is added to weaken the rotation error. The weight is smaller when the rotation angle is larger, thereby ensuring the accuracy of the measurement.

In another embodiment, the airflow distribution characteristic information prediction module is used to predict the airflow distribution characteristic information received by the fan array based on the airflow state, including:

Based on the spatial position information corresponding to the plane where the blades of all fans under the fan array are located and the overall wind field airflow change model, the airflow direction distribution information and airflow speed distribution information of the plane area covered by the rotation of the blades of each fan corresponding to the front space range are obtained;

The abnormal airflow event recognition module is used to determine whether an abnormal airflow event occurs in the front preset range based on the airflow distribution characteristic information, including:

Based on the airflow direction distribution information and the airflow speed distribution information, the airflow vortex intensity of the front space range is obtained; the airflow vortex intensity is compared with a preset intensity threshold, and if the airflow vortex intensity is greater than or equal to the preset intensity threshold, it is determined that an abnormal airflow event occurs in the front space range; otherwise, it is determined that no abnormal airflow event occurs in the front space range;

The fan operation adjustment module is used to adjust the operation state of the corresponding fan when an abnormal airflow event occurs, including:

When an abnormal airflow event occurs, based on the overall wind field airflow change model, it is predicted that the airflow vortex existing in the space in front of the corresponding wind turbine will completely pass through the plane area covered by the rotation of the blades of the corresponding wind turbine, so that the corresponding wind turbine will switch to a non-power generation operation state within the crossing time interval.

The beneficial effect of the above embodiment is that the spatial position information corresponding to the plane where the blades of all the fans under the fan array are located is used as a reference to calibrate and identify the airflow change model of the overall wind field at the spatial level, and obtain the airflow direction distribution information and airflow velocity distribution information of the plane area covered by the rotation of the blades of each fan corresponding to the front space range, so as to determine the airflow vortex intensity to the front space range, so as to accurately identify the airflow vortex interference to each fan. The airflow vortex intensity is compared with the preset intensity threshold. If the airflow vortex intensity is greater than or equal to the preset intensity threshold, it indicates that the airflow vortex interference has a greater impact on the operation of the fan, and may cause irreversible damage to the fan. At this time, it is determined that an abnormal airflow event has occurred in the front space range; otherwise, it is determined that no abnormal airflow event has occurred in the front space range, which is convenient for subsequent targeted adjustment of the operating state of the fan to ensure the safety of the fan operation. In addition, when an abnormal airflow event occurs, based on the overall wind field airflow change model, it is predicted that the airflow vortex existing in the space in front of the corresponding fan completely passes through the plane area covered by the rotation of the blades of the corresponding fan, so that the corresponding fan is switched to a non-power generation operation state within the crossing time interval. When the fan is in the non-power generation operation state, its internal rotating transmission mechanism will be in a free state, that is, the fan can rotate freely under the action of the airflow vortex without generating reverse torque, thereby avoiding structural damage to the fan due to the action of the airflow vortex.

In another embodiment, the fan yaw correction module is used to determine the deviation information of each fan from the airflow direction based on the airflow distribution characteristic information and the respective attitude information of all fans under the fan array when no abnormal airflow event occurs; based on the deviation information, perform yaw correction on each fan, including:

When no abnormal airflow event occurs, the main airflow direction angle corresponding to the plane area covered by the rotation of the blades of each fan is determined based on the airflow direction distribution information of the front space range corresponding to the plane area covered by the rotation of the blades of each fan; and the yaw attitude angle of the rotation main axis of each fan is determined based on the rotation main axis attitude information of all fans under the fan array; and then based on the main airflow direction angle and the yaw attitude angle of the rotation main axis, the yaw angle between the rotation main axis of each fan and the corresponding main airflow is determined;

Based on the real-time rotation speed of the rotating shaft of the fan, it is determined whether the rotating shaft of the fan is in a rotation limit state; when the rotating shaft of the fan is in a rotation limit state, the rotating shaft of the fan is controlled to perform multiple yaw corrections to rotate the yaw angle; when the rotating shaft of the fan is not in a rotation limit state, the rotating shaft of the fan is controlled to perform a single yaw correction to rotate the yaw angle.

The beneficial effects of the above embodiments are as follows: when no abnormal airflow event occurs, the main airflow direction angle corresponding to the plane area covered by the rotation of the blades of each fan is determined based on the airflow direction distribution information of the front space range corresponding to the plane area covered by the rotation of the blades of each fan; and the yaw attitude angle of the rotation main shaft of each fan is determined based on the rotation main shaft attitude information of all fans under the fan array, and then the angle difference between the main airflow direction angle and the yaw attitude angle of the rotation main shaft is determined, which is used as the main airflow direction angle and the yaw attitude angle of the rotation main shaft, so as to provide a reliable basis for the subsequent adjustment of the yaw direction of the rotation main shaft of the blade to be consistent with the flow direction of the airflow. In addition, the real-time rotation speed of the rotation main shaft of the fan is compared with the maximum rotation speed of the fan to determine whether the rotation main shaft of the fan is in the rotation limit state, so as to accurately identify the operating load of the fan. When the main axis of the fan is in the rotation limit state, the main axis of the fan is controlled to perform multiple yaw corrections to rotate the yaw angle, that is, the main axis of the fan is controlled to perform multiple yaw corrections at a preset angle rotation step to rotate the yaw angle, so as to avoid damage to the fan caused by large-span yaw angle adjustment while rotating at the limit. When the main axis of the fan is not in the rotation limit state, the main axis of the fan is controlled to perform a single yaw correction to rotate the yaw angle, so as to enable the fan to quickly switch to a suitable yaw direction and improve the operation efficiency of the fan.

In general, the wind turbine yaw correction method and system based on the laser wind radar corrects the wind measurement state of the laser wind radar based on the installation state information of all the laser wind radars located in the preset range in front of the wind turbine array, thereby improving the wind measurement accuracy of the laser wind radar; the wind measurement data generated by all the laser wind radars are analyzed to determine the airflow state in the vicinity of the respective positions of all the laser wind radars, thereby predicting the airflow distribution characteristic information received by the wind turbine array, and realizing accurate prediction of the actual airflow effect on the wind turbine array; based on the airflow distribution characteristic information, it is determined whether an abnormal airflow event occurs in the preset range in front; when an abnormal airflow event occurs, the operating state of the corresponding fan is adjusted to prevent the fan from being damaged by the turbulent airflow; when no abnormal airflow event occurs, the deviation information of each fan from the airflow direction is determined based on the airflow distribution characteristic information and the posture information of all the fans under the fan array, thereby performing yaw correction on each fan, ensuring that the flow direction of the airflow is consistent with the yaw direction of the rotating main axis of the blade, thereby improving the operation efficiency and stability of the fan.

The above is only a specific implementation of the present invention, and any other improvements made based on the concept of the present invention are considered to be within the protection scope of the present invention.

Claims (9)

1. A fan yaw correction method based on a laser wind-finding radar is characterized by comprising the following steps:

Based on the respective installation state information of all the laser wind measuring radars positioned in a front preset range of the fan array, respectively correcting the wind measuring states of all the laser wind measuring radars; analyzing the anemometry data generated by all the laser anemometry radars, and determining the airflow state of the area near the position of each laser anemometry radar;

Based on the airflow state, predicting airflow distribution characteristic information received by the fan array; judging whether an airflow abnormal event occurs in the front preset range or not based on the airflow distribution characteristic information; when an air flow abnormal event occurs, the running state of the corresponding fan is adjusted;

When no airflow abnormal event occurs, determining deviation information of each fan and the airflow direction based on the airflow distribution characteristic information and the respective posture information of all fans subordinate to the fan array;

And performing yaw correction on each fan based on the deviation information.

2. The method for correcting yaw of a blower based on laser wind-finding radar as set forth in claim 1, wherein:

Based on the respective installation state information of all the laser wind measuring radars positioned in a front preset range of the fan array, respectively correcting the wind measuring states of all the laser wind measuring radars; analyzing the wind measurement data generated by all the laser wind measurement radars to determine the airflow state of the area near the position of each laser wind measurement radar, wherein the method comprises the following steps:

Acquiring respective installation position coordinate information and installation altitude information of all the laser anemometry radars positioned in a preset range in front of a fan array, and determining the theoretical anemometry area range of each laser anemometry radar in a three-dimensional space based on the installation position coordinate information and the installation altitude information; based on the respective anemometry area ranges of all the laser anemometry radars, performing anemometry scanning range correction and anemometry sensitivity correction on all the laser anemometry radars respectively, so that all the laser anemometry radars can perform global coverage scanning detection on the front preset range and all the laser anemometry radars have consistent anemometry sensitivity;

Analyzing the anemometry data generated by all the laser anemometry radars to obtain air flow direction distribution information and air flow speed distribution information of the area near the position of each laser anemometry radar; based on the air flow direction distribution information and the air flow speed distribution information, constructing a wind field air flow change model of an area near the position of each laser wind finding radar; and fitting to obtain an integral wind field airflow change model corresponding to the front preset range based on wind field airflow change models of the areas near the positions of all the laser wind measuring radars.

3. The method for correcting yaw of a blower based on laser wind-finding radar as set forth in claim 2, wherein:

Based on the airflow state, predicting airflow distribution characteristic information received by the fan array; judging whether an airflow abnormal event occurs in the front preset range or not based on the airflow distribution characteristic information; when an airflow abnormal event occurs, the operation state of the corresponding fan is adjusted, including:

Based on the space position information corresponding to the planes of the blades of all fans under the fan array and the integral wind field airflow change model, acquiring airflow direction distribution information and airflow speed distribution information of the front space range corresponding to the plane area covered by the rotation of the blades of each fan; based on the airflow direction distribution information and the airflow speed distribution information, obtaining airflow vortex intensity in the front space range; comparing the airflow vortex intensity with a preset intensity threshold, and judging that an airflow abnormal event occurs in the front space range if the airflow vortex intensity is greater than or equal to the preset intensity threshold; otherwise, judging that no airflow abnormal event occurs in the front space range;

when an airflow abnormal event occurs, based on the integral wind field airflow change model, predicting a crossing time interval in which airflow vortex existing in a front space range corresponding to the corresponding fan completely passes through a plane area covered by blade rotation of the corresponding fan, so that the corresponding fan is switched to a non-power generation running state in the crossing time interval.

4. The method for correcting yaw of a blower based on laser wind-finding radar as set forth in claim 3, wherein:

When no airflow abnormal event occurs, determining deviation information of each fan and the airflow direction based on the airflow distribution characteristic information and the respective posture information of all fans subordinate to the fan array;

Based on the deviation information, yaw correction is performed on each fan, including:

When no airflow abnormal event occurs, determining a main airflow direction angle corresponding to a plane area covered by the rotation of the blades of each fan based on airflow direction distribution information of the front space range corresponding to the plane area covered by the rotation of the blades of each fan; determining the yaw attitude angle of the rotating main shaft of each fan based on the respective attitude information of the rotating main shafts of all fans subordinate to the fan array; determining a yaw included angle between the rotating main shaft of each fan and the corresponding main air flow based on the main air flow direction angle and the yaw attitude angle of the rotating main shaft;

Judging whether the rotating main shaft of the fan is in a rotation limit state or not based on the real-time rotating speed of the rotating main shaft of the fan; when the rotating main shaft of the fan is in a rotation limit state, the rotating main shaft of the fan is controlled to perform yaw correction for a plurality of times so as to rotate the yaw included angle; and when the rotating main shaft of the fan is not in a rotation limit state, controlling the rotating main shaft of the fan to perform single yaw correction so as to rotate the yaw included angle.

5. Fan yaw correction system based on laser wind-finding radar, its characterized in that includes:

The laser wind-finding radar correction module is used for correcting the wind-finding states of all the laser wind-finding radars respectively based on the respective installation state information of all the laser wind-finding radars positioned in a preset range in front of the fan array;

The airflow state determining module is used for analyzing the wind measurement data generated by all the laser wind measurement radars and determining the airflow state of the area near the position where all the laser wind measurement radars are positioned;

The air flow distribution characteristic information prediction module is used for predicting air flow distribution characteristic information received by the fan array based on the air flow state;

the airflow abnormal event identification module is used for judging whether an airflow abnormal event occurs in the front preset range or not based on the airflow distribution characteristic information;

The fan operation adjusting module is used for adjusting the operation state of the corresponding fan when an airflow abnormal event occurs;

The fan yaw correction module is used for determining deviation information of each fan and the air flow direction based on the air flow distribution characteristic information and the respective posture information of all fans subordinate to the fan array when no air flow abnormal event occurs; and performing yaw correction on each fan based on the deviation information.

6. The lidar-based fan yaw correction system of claim 5, wherein:

The laser wind-finding radar correction module is used for correcting the wind-finding states of all the laser wind-finding radars respectively based on the respective installation state information of all the laser wind-finding radars positioned in the front preset range of the fan array, and comprises the following components:

Acquiring respective installation position coordinate information and installation altitude information of all the laser anemometry radars positioned in a preset range in front of a fan array, and determining the theoretical anemometry area range of each laser anemometry radar in a three-dimensional space based on the installation position coordinate information and the installation altitude information; based on the respective anemometry area ranges of all the laser anemometry radars, performing anemometry scanning range correction and anemometry sensitivity correction on all the laser anemometry radars respectively, so that all the laser anemometry radars can perform global coverage scanning detection on the front preset range and all the laser anemometry radars have consistent anemometry sensitivity;

The airflow state determining module is used for analyzing the wind measurement data generated by all the laser wind measurement radars and determining the airflow state of the area near the position of each laser wind measurement radar, and comprises the following steps: analyzing the anemometry data generated by all the laser anemometry radars to obtain air flow direction distribution information and air flow speed distribution information of the area near the position of each laser anemometry radar; based on the air flow direction distribution information and the air flow speed distribution information, constructing a wind field air flow change model of an area near the position of each laser wind finding radar; and fitting to obtain an integral wind field airflow change model corresponding to the front preset range based on wind field airflow change models of the areas near the positions of all the laser wind measuring radars.

7. The lidar-based fan yaw correction system of claim 6, wherein:

Every laser wind-finding radar all is provided with the carousel, the rotation axis of carousel with fan array dead ahead direction is parallel, and every laser side wind-finding radar rotates the wind on its carousel that corresponds, and it includes:

step S1, stopping rotation of the turntable, controlling the rotation speed of the corresponding turntable according to a first wind speed value measured by the laser wind-finding radar by using the following formula (1) so as to avoid the influence of rotation of the turntable on speed measurement,

In the above formula (1), ω represents a control rotation speed of the laser wind-finding radar corresponding to the turntable; omega _M represents the maximum control rotation speed value under the controllable condition of the turntable; omega _min represents a preset minimum rotation speed value of the turntable; m represents the total number of fans in the fan array; b represents the total number of the laser anemometer mines; q ₁ represents a first wind speed value measured by the laser wind-finding radar; q ₀ represents a unit wind speed value of 1 unit, which is the same as Q ₁; max [ ] represents the maximum value of the numerical values of the left and right ends of the comma in the brackets;

Step S2, controlling the number of times of wind measurement data collected by rotating the turntable for one circle according to the rotation speed of the turntable and the collection frequency of the laser wind measurement radar by using the following formula (2),

In the above formula (2), N represents the number of times of rotating the disk one turn to control the collected anemometry data; f represents the acquisition frequency of the laser wind-finding radar; representing a downward rounding;

Step S3, carrying out data integration according to the wind measurement data acquired by rotating the disk for one circle by utilizing the following formula (3) to obtain an integrated wind speed value,

In the formula (3), g represents integrating data to obtain an integrated wind speed value; g (a) represents the a-th wind speed value acquired in one rotation of the rotor.

8. The lidar-based fan yaw correction system of claim 6, wherein:

the airflow distribution characteristic information prediction module is configured to predict airflow distribution characteristic information received by the fan array based on the airflow state, and includes:

Based on the space position information corresponding to the planes of the blades of all fans under the fan array and the integral wind field airflow change model, acquiring airflow direction distribution information and airflow speed distribution information of the front space range corresponding to the plane area covered by the rotation of the blades of each fan; the airflow abnormal event identification module is configured to determine, based on the airflow distribution feature information, whether an airflow abnormal event occurs in the front preset range, including:

Based on the airflow direction distribution information and the airflow speed distribution information, obtaining airflow vortex intensity in the front space range; comparing the airflow vortex intensity with a preset intensity threshold, and judging that an airflow abnormal event occurs in the front space range if the airflow vortex intensity is greater than or equal to the preset intensity threshold; otherwise, judging that no airflow abnormal event occurs in the front space range;

The fan operation adjustment module is used for adjusting the operation state of the corresponding fan when an airflow abnormal event occurs, and comprises the following steps:

when an airflow abnormal event occurs, based on the integral wind field airflow change model, predicting a crossing time interval in which airflow vortex existing in a front space range corresponding to the corresponding fan completely passes through a plane area covered by blade rotation of the corresponding fan, so that the corresponding fan is switched to a non-power generation running state in the crossing time interval.

9. The lidar-based fan yaw correction system of claim 8, wherein:

The fan yaw correction module is used for determining deviation information of each fan and the air flow direction based on the air flow distribution characteristic information and the respective posture information of all fans subordinate to the fan array when no air flow abnormal event occurs; based on the deviation information, yaw correction is performed on each fan, including:

When no airflow abnormal event occurs, determining a main airflow direction angle corresponding to a plane area covered by the rotation of the blades of each fan based on airflow direction distribution information of the front space range corresponding to the plane area covered by the rotation of the blades of each fan; determining the yaw attitude angle of the rotating main shaft of each fan based on the respective attitude information of the rotating main shafts of all fans subordinate to the fan array; determining a yaw included angle between the rotating main shaft of each fan and the corresponding main air flow based on the main air flow direction angle and the yaw attitude angle of the rotating main shaft;

Judging whether the rotating main shaft of the fan is in a rotation limit state or not based on the real-time rotating speed of the rotating main shaft of the fan; when the rotating main shaft of the fan is in a rotation limit state, the rotating main shaft of the fan is controlled to perform yaw correction for a plurality of times so as to rotate the yaw included angle; and when the rotating main shaft of the fan is not in a rotation limit state, controlling the rotating main shaft of the fan to perform single yaw correction so as to rotate the yaw included angle.