CN117703674A - Yaw correction method and system for wind turbine generator - Google Patents
Yaw correction method and system for wind turbine generator Download PDFInfo
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- CN117703674A CN117703674A CN202311663901.4A CN202311663901A CN117703674A CN 117703674 A CN117703674 A CN 117703674A CN 202311663901 A CN202311663901 A CN 202311663901A CN 117703674 A CN117703674 A CN 117703674A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D7/00—Controlling wind motors
- F03D7/02—Controlling wind motors the wind motors having rotation axis substantially parallel to the air flow entering the rotor
- F03D7/0204—Controlling wind motors the wind motors having rotation axis substantially parallel to the air flow entering the rotor for orientation in relation to wind direction
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D7/00—Controlling wind motors
- F03D7/02—Controlling wind motors the wind motors having rotation axis substantially parallel to the air flow entering the rotor
- F03D7/04—Automatic control; Regulation
- F03D7/042—Automatic control; Regulation by means of an electrical or electronic controller
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D9/00—Adaptations of wind motors for special use; Combinations of wind motors with apparatus driven thereby; Wind motors specially adapted for installation in particular locations
- F03D9/20—Wind motors characterised by the driven apparatus
- F03D9/25—Wind motors characterised by the driven apparatus the apparatus being an electrical generator
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/72—Wind turbines with rotation axis in wind direction
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Abstract
The invention discloses a yaw correction method and a yaw correction system for a wind turbine generator, which relate to the technical field of yaw correction, and the method comprises the following steps: laying a plurality of laser radars, and carrying out wind condition identification on a target area to generate real-time wind condition data; generating an actual power generation power variation of the target wind turbine generator; calculating and generating first power generation amount data of the wind turbine generator; updating the change trend of the generating power of the wind turbine generator, generating theoretical generating power change quantity of a target wind turbine generator, and calculating second generating capacity data of the generating wind turbine generator; generating a yaw correction strategy; generating a yaw correction result; judging whether a preset correction interval is met, if so, carrying out yaw correction on the wind turbine generator according to the yaw correction result, solving the problem of poor yaw correction accuracy caused by insufficient rigor and insufficient completeness of a yaw correction technology in the prior art, and realizing reasonable and accurate management and control on yaw correction of the wind turbine generator.
Description
Technical Field
The invention relates to the technical field of yaw correction, in particular to a yaw correction method and a yaw correction system for a wind turbine generator.
Background
Wind power generation is a clean and renewable energy source, and a wind turbine generator is core equipment for realizing wind power generation. In the running process of the wind turbine generator, accurate capture and utilization of wind are key to improving the power generation efficiency. Yaw correction is a technology for adjusting the wind direction of a wind turbine generator, and the yaw angle of the wind turbine generator is monitored and adjusted in real time, so that the wind turbine generator is always aligned with the wind direction, and the power generation efficiency is improved. However, in practice, accurate yaw correction is a challenging task due to rapid and unstable wind direction changes.
The yaw correction technology in the prior art has the problem that yaw correction accuracy is poor due to insufficient rigor and insufficient completeness, so that yaw correction of the wind turbine generator cannot be reasonably and accurately controlled.
Disclosure of Invention
The yaw correction method and the yaw correction system for the wind turbine generator set solve the problem that yaw correction accuracy is poor due to insufficient rigor and insufficient completeness of a yaw correction technology in the prior art, and achieve reasonable and accurate management and control on yaw correction of the wind turbine generator set.
In view of the above problems, the application provides a yaw correction method for a wind turbine.
In a first aspect, the present application provides a yaw correction method for a wind turbine, the method including: based on the arrangement position of the wind turbine generator in the target area, a plurality of laser radars are arranged, wind condition identification is carried out on the target area through the plurality of laser radars, and real-time wind condition data are generated; calculating a wind pairing angle based on the real-time wind condition data, acquiring a change trend of the power generation power of the wind turbine according to the wind pairing angle, and generating an actual power generation power change of the target wind turbine; calculating and generating first power generation amount data of the wind turbine according to the actual power generation power variation amount; updating the power generation power change trend of the wind turbine generator according to the estimated wind deviation angle of the wind turbine generator to generate theoretical power generation change of a target wind turbine generator, and calculating to generate second power generation data of the wind turbine generator according to the theoretical power generation change; performing yaw adjustment according to the first power generation amount data and the second power generation amount data to generate a yaw correction strategy; performing simulation analysis on the wind turbine generator set according to the yaw correction strategy to generate a yaw correction result; judging whether the yaw correction result meets a preset correction interval or not, and if so, performing yaw correction on the wind turbine generator set according to the yaw correction result.
In a second aspect, the present application provides a wind turbine yaw correction system, the system comprising: the wind condition data generation module: based on the arrangement position of the wind turbine generator in the target area, a plurality of laser radars are arranged, wind condition identification is carried out on the target area through the plurality of laser radars, and real-time wind condition data are generated; a power variation module: calculating a wind pairing angle based on the real-time wind condition data, acquiring a change trend of the power generation power of the wind turbine according to the wind pairing angle, and generating an actual power generation power change of the target wind turbine; a first power generation amount module: calculating and generating first power generation amount data of the wind turbine according to the actual power generation power variation amount; a second power generation module: updating the power generation power change trend of the wind turbine generator according to the estimated wind deviation angle of the wind turbine generator to generate theoretical power generation change of a target wind turbine generator, and calculating to generate second power generation data of the wind turbine generator according to the theoretical power generation change; yaw correction strategy module: performing yaw adjustment according to the first power generation amount data and the second power generation amount data to generate a yaw correction strategy; and a simulation analysis module: performing simulation analysis on the wind turbine generator set according to the yaw correction strategy to generate a yaw correction result; a yaw correction module: judging whether the yaw correction result meets a preset correction interval or not, and if so, performing yaw correction on the wind turbine generator set according to the yaw correction result.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
according to the yaw correction method and system for the wind turbine, the arrangement position of the wind turbine in the target area is utilized, the plurality of laser radars are arranged, wind condition identification is conducted on the target area through the plurality of laser radars, real-time wind condition data are generated, the yaw correction result is calculated based on the real-time wind condition data, the change trend of the generating power of the wind turbine is obtained according to the yaw angle, the actual generating power change quantity of the target wind turbine is generated, the first generating quantity data of the wind turbine are calculated, the generating power change trend of the wind turbine is generated according to the estimated change trend of the yaw angle, the theoretical generating power change quantity of the target wind turbine is generated, the second generating quantity data of the wind turbine is calculated according to the theoretical generating power change quantity, yaw correction strategy is generated according to the first generating quantity data and the second generating quantity data, simulation analysis is conducted on the wind turbine, the yaw correction result is generated, finally whether the yaw correction result meets the preset correction interval is judged, if the yaw correction result meets the preset correction interval, the yaw correction is conducted on the wind turbine according to the yaw correction result, the yaw correction technology is poor due to insufficient precision control of yaw correction in the prior art, and yaw correction accuracy is achieved.
Drawings
FIG. 1 is a schematic flow chart of a yaw correction method of a wind turbine generator;
fig. 2 is a schematic structural diagram of a yaw correction system of a wind turbine generator.
Reference numerals illustrate: the system comprises a wind condition data generation module 11, a power variation module 12, a first power generation amount module 13, a second power generation amount module 14, a yaw correction strategy module 15, a simulation analysis module 16 and a yaw correction module 17.
Detailed Description
According to the yaw correction method and system for the wind turbine, a plurality of laser radars are arranged according to the arrangement position of the wind turbine in a target area, wind condition identification is conducted on the target area through the plurality of laser radars, real-time wind condition data are generated, a yaw correction result is calculated based on the real-time wind condition data, the generation power change trend of the wind turbine is obtained according to the yaw angle, the actual generation power change quantity of the target wind turbine is generated, first power generation quantity data of the wind turbine are calculated and generated, the generation power change trend of the wind turbine is updated according to the estimated yaw deviation angle of the yaw angle, theoretical generation power change quantity of the target wind turbine is generated, second power generation quantity data of the wind turbine is calculated and generated according to the theoretical generation power change quantity, yaw adjustment is conducted according to the first power generation quantity data and the second power generation quantity data, a yaw correction strategy is generated, simulation analysis is conducted on the wind turbine, a yaw correction result is generated, whether the yaw correction result meets a preset correction interval is judged finally, and if yes, yaw correction is conducted on the wind turbine according to the yaw correction result. The yaw correction method solves the problem that yaw correction accuracy is poor due to insufficient rigor and insufficient completeness in the yaw correction technology in the prior art, and achieves reasonable and accurate control on yaw correction of the wind turbine generator.
Example 1
As shown in fig. 1, the application provides a yaw correction method and a yaw correction system for a wind turbine, wherein the method comprises the following steps:
based on the arrangement position of the wind turbine generator in the target area, a plurality of laser radars are arranged, wind condition identification is carried out on the target area through the plurality of laser radars, and real-time wind condition data are generated;
traversing the point positions of the wind turbine generator in the target area to generate a point position data set;
acquiring a plurality of historical wind condition information in a target area according to the landform characteristics;
matching the plurality of historical wind condition information with the point location data set to generate a characteristic point location data set;
and adaptively laying the plurality of laser radars based on the characteristic point location data set.
The wind turbine generator refers to a group of wind turbine generator sets formed by a plurality of wind turbine generators, and yaw correction is usually performed on the wind turbine generators by taking the wind turbine generator set as a unit. Yaw correction means correcting yaw errors of the wind driven generator, so that the wind driven generator can be better aligned with the wind direction, and the generated energy of the wind driven generator is improved. The laser radar is laser wind measuring equipment, the undisturbed wind speed and direction in front of the wind wheel of the wind driven generator are measured through the laser wind measuring equipment, and the yaw error of the wind driven generator is corrected according to the data acquired by the laser wind measuring equipment. Firstly, a plurality of laser radars are distributed, the distribution positions of the laser radars are selected, and the distribution positions of the laser radars need to reduce the interference of wind driven generators on the laser radars. Through traversing wind turbine generator set point positions in the target area, the wind turbine generator set point positions are the positions of the wind turbine generator sets, and a comprehensive point position data set is generated, wherein each point represents the installation position of one wind driven generator. And acquiring historical wind conditions in the target area by utilizing various meteorological data and landform information. The topographical features include terrain elevation, grade, direction, vegetation type, etc., as well as wind speed and direction data over time. The plurality of historical wind condition information may be obtained by a weather station, a wind measurement device, or a published weather dataset, and there is a link between the plurality of historical wind condition information and the topographical feature. And carrying out relation matching on the historical wind condition data and the point location data set generated previously to obtain a characteristic point location data set. By analyzing the two data sets, a plurality of representative point positions are searched for layout of the laser radar, and accuracy of later wind condition data acquisition is guaranteed. And finally, arranging a plurality of laser radars at the corresponding positions in the characteristic point data set, finishing the arrangement of the laser radars, and carrying out wind condition identification on a target area through the plurality of laser radars to generate real-time wind condition data. Through combining historical meteorological data and landform information, the rationality of radar position layout can be improved, and the information acquired by the radar later can be more accurate.
Calculating a wind pairing angle based on the real-time wind condition data, acquiring a change trend of the power generation power of the wind turbine according to the wind pairing angle, and generating an actual power generation power change of the target wind turbine;
calculating the real-time wind condition data according to a wind angle expression to generate a plurality of wind angles of the wind turbine generator;
matching a plurality of time points according to the plurality of diagonal angles;
calculating the power generation power of the wind turbine generator set at the plurality of time points, and drawing a power generation power curve graph;
and extracting the power generation power variation trend of the wind turbine generator set through the power generation power curve graph, and determining the actual power generation power variation.
The opposite wind angle is an included angle between a wind turbine blade and a wind direction, the change of the opposite wind angle can influence the power generation efficiency and the power generation power of the wind turbine, the power curve can deviate, and the damage fault of a yaw speed reducer gear is further caused, so that the opposite wind angle is calculated, and a preparation measure is prepared. Substituting the real-time wind condition data into a wind angle expression, for example, firstly, the sum of the square of the first blade length of the 1 st wind motor in the wind turbine and the square of the second blade length of the 1 st wind motor in the wind turbine is differed from the third blade length of the 1 st wind motor in the wind turbine, the difference is divided by 2 times of the product of the first blade length of the 1 st wind motor in the wind turbine and the second blade length of the 1 st wind motor in the wind turbine, an inverse cosine function of the quotient is obtained, the value of the inverse cosine function is multiplied by the integral value of the diameter of the fan wheel disc, and the sum of the product and the sum of the wind speed in the real-time wind condition data, the wind direction in the real-time wind condition data and the wind power in the real-time wind condition data is added to obtain the wind angle of the first wind turbine. And substituting the relevant data of the units into a diagonal angle expression for calculation in the same way to obtain the diagonal angle of the corresponding unit. A plurality of diagonal angles of the dunn's store unit are obtained. And according to the calculated diagonal angles, acquiring the time of the diagonal angles, and outputting the time as a moment point. At each moment, the real-time wind condition data and the characteristics of the wind turbine generator are utilized to calculate the power generation power. The generated power data at the time points are drawn into a graph, so that the generated power change condition of the wind turbine generator can be more intuitively observed, and the generated power change trend can be obtained. And extracting the change trend of the generated power of the wind turbine generator set through the generated power curve graph. According to the change trend, the change amount of the actual power generation power can be determined, and a data basis is provided for the follow-up calculation and generation of the first power generation amount data of the wind turbine generator according to the change amount of the actual power generation power.
Calculating and generating first power generation amount data of the wind turbine according to the actual power generation power variation amount;
updating the power generation power change trend of the wind turbine generator according to the estimated wind deviation angle of the wind turbine generator to generate theoretical power generation change of a target wind turbine generator, and calculating to generate second power generation data of the wind turbine generator according to the theoretical power generation change;
performing yaw adjustment according to the first power generation amount data and the second power generation amount data to generate a yaw correction strategy;
and substituting the actual power variation into a power generation amount calculation formula according to the actual power variation to calculate the power generation amount, obtaining actual power generation amount data of the wind turbine at different time points, and outputting the actual power generation amount data as first power generation amount data. And estimating a wind deviation angle according to the wind deviation angle, wherein the wind deviation angle represents the deviation of the wind angle which possibly occurs to the wind turbine generator. And updating the power generation power variation trend of the wind turbine generator by using the wind deviation angle to generate the theoretical power generation power variation of the target wind turbine generator. Substituting the theoretical power variation into a power generation amount calculation formula to calculate the power generation amount so as to obtain second power generation amount data of the wind turbine generator. Comparing and analyzing the actual power generation amount data, namely the first power generation amount data, with the theoretical power generation amount data, namely the second power generation amount data, so as to obtain an analysis result, wherein the analysis result represents the difference between the actual power generation amount data and the theoretical power generation amount data. And generating a corresponding yaw adjustment strategy according to the analysis result, wherein the yaw adjustment strategy can adjust the yaw angle of the wind turbine generator set so as to enable the actual generated energy to be as close to the theoretical generated energy as possible. And comparing and analyzing the first power generation amount data and the second power generation amount data to generate a yaw correction strategy, so that the wind turbine generator is guided to perform correct yaw adjustment, and the power generation efficiency and performance of the wind turbine generator can be improved.
Performing simulation analysis on the wind turbine generator set according to the yaw correction strategy to generate a yaw correction result;
judging whether the yaw correction result meets a preset correction interval or not, and if so, performing yaw correction on the wind turbine generator set according to the yaw correction result.
The simulation analysis is to simulate through a simulation tool, analyze simulation results, correct corresponding parameters and improve the applicability of a yaw correction strategy. And according to the yaw correction strategy, carrying out simulation analysis and simulation on the wind turbine generator by using a simulation tool or model to obtain a simulation result. And analyzing the simulation results obtained under different conditions by simulating the wind turbine generator to obtain a yaw correction result. The yaw correction result includes an adjusted yaw angle, a generated power change, and the like. The preset correction interval is a predetermined range for judging whether the yaw correction result is valid or meets the requirement. And judging the yaw correction result, and judging whether the yaw correction result is within a preset correction interval. If yes, carrying out the next step; if the yaw correction strategy is not satisfied, the yaw correction strategy is required to be readjusted, the threshold value of the yaw correction strategy after adjustment is judged, and the process is repeated to achieve the aim of optimization. If the yaw correction result meets the preset correction interval, yaw correction is performed on the actual wind turbine generator set according to the yaw correction result, including but not limited to, adjusting a yaw device of the wind turbine generator set, changing angles of blades and the like, so that more accurate power generation control is achieved. By carrying out simulation analysis on the wind turbine, the yaw correction strategy can be continuously optimized, so that the yaw correction result obtained finally is more reasonable and accurate.
Further, the method further comprises:
the plurality of laser radars perform real-time measurement based on the Doppler frequency shift principle, and generate a plurality of real-time measurement data;
calculating real-time wind speed data according to pressure differences based on the plurality of real-time measurement data;
calculating real-time wind direction data according to the wind vane position based on the plurality of real-time measurement data;
calculating real-time wind power data according to aerodynamic response coefficients based on the plurality of real-time measurement data;
and adding the real-time wind speed data, the real-time wind direction data and the real-time wind power data to the real-time wind condition data.
The doppler shift principle refers to the fact that when a laser beam emitted by a laser radar encounters a moving target, the reflected laser beam carries information about the direction and speed of movement of the target. By measuring the frequency difference between the reflected laser beam and the emitted laser beam, the moving speed and direction of the target can be calculated. And real-time measurement is carried out by utilizing a laser radar through the Doppler frequency shift principle, and real-time measurement data such as wind speed, wind direction and the like are obtained. The pressure difference refers to the difference in air pressure at different heights or different positions, which may reflect the magnitude and direction of wind speed. By measuring the pressure differences at different locations, real-time wind speed data can be calculated. Based on the plurality of real-time measurement data acquired by the lidar, real-time wind speed data may be calculated by analyzing the pressure difference. A wind vane is a device for indicating the direction of the wind and is typically made up of a series of vane blades, each pointing in one direction. And calculating to obtain real-time wind direction data by analyzing a plurality of real-time measurement data acquired by the laser radar and the positions of the wind vanes. The real-time wind direction is determined by comparing the intensity or time difference of the laser beams reflected from the different blades. Aerodynamic response coefficient refers to the coefficient of action of air on an object and is related to the shape, size, and air density of the object. And comparing the intensity or time difference of laser beams reflected by different objects by analyzing a plurality of real-time measurement data and aerodynamic response coefficients acquired by the laser radar to determine real-time wind power data. And finally, adding the calculated real-time wind speed data, the real-time wind direction data and the real-time wind power data into the real-time wind condition data, calculating a wind pairing angle for the subsequent real-time wind condition data, acquiring the change trend of the generating power of the wind turbine according to the wind pairing angle, and generating the actual generating power change of the target wind turbine to provide a data basis.
Further, the method further comprises:
if the yaw correction result does not meet the preset correction interval, calculating the yaw deviation degree of the yaw correction result;
acquiring a data distance between a yaw correction result of the yaw deviation degree and a yaw preset result of yaw accuracy;
judging whether the data distance is smaller than a preset deviation nearest distance or not, if so, directly performing yaw correction according to the yaw correction result;
judging whether the data distance is greater than the farthest distance of the preset deviation, if so, rejecting the yaw correction result, carrying out simulation analysis on the wind turbine again, and updating the yaw correction result.
When the yaw correction result exists in the correction section, the yaw correction result is corrected, and when the yaw correction result is outside the correction section, further analysis is required. The yaw correction result is outside the correction interval and comprises two conditions, wherein the first condition is that the data deviation is too small and the data deviation is not large compared with the actual data, and correction is not needed; the second case is that the data deviates too much, there is no corrected comparison, and the data is directly regarded as invalid data to be rejected. And when the yaw correction result does not meet the preset correction interval, calculating the yaw deviation degree of the yaw correction result, wherein the yaw deviation degree refers to the deviation degree between the current opposite wind state and the ideal opposite wind state of the wind turbine generator. Based on the yaw bias, a data distance between the result and a preset yaw accuracy is obtained. The data distance represents the gap or distance between the current correction result and the desired result. If the data distance is smaller than the preset deviation nearest distance, the current yaw correction result is relatively close to the preset accuracy requirement, so that the yaw correction method can be directly used for yaw correction of the wind turbine generator. If the data distance is greater than the preset farthest deviation distance, the current yaw correction result is far away from the preset accuracy, the current yaw correction result cannot be used for yaw correction of the wind turbine generator, the current yaw correction result is removed, and simulation analysis is conducted again to generate a new yaw correction result. The data distance and the farthest distance of the preset deviation are compared and judged, so that the fine control capability of the yaw correction process of the wind turbine can be improved.
Example two
Based on the same inventive concept as the wind turbine yaw correction method of the previous embodiment, as shown in fig. 2, the present application provides a wind turbine yaw correction system, the system comprising:
wind condition data generation module 11: the wind condition data generation module 11 is used for distributing a plurality of laser radars based on the arrangement positions of the wind turbine generator in the target area, and carrying out wind condition identification on the target area through the plurality of laser radars to generate real-time wind condition data;
power variation module 12: the power variation module 12 is configured to calculate a wind pairing angle based on the real-time wind condition data, obtain a power variation trend of the wind turbine generator according to the wind pairing angle, and generate an actual power variation of the target wind turbine generator;
the first power generation amount module 13: the first power generation amount module 13 is configured to generate first power generation amount data of a wind turbine generator according to the actual power generation power variation amount calculation;
the second power generation module 14: the second generating capacity module 14 is configured to predict a wind deviation angle according to the wind angle, update a power generation power variation trend of the wind turbine, generate a theoretical power generation power variation of the target wind turbine, and calculate and generate second generating capacity data of the wind turbine according to the theoretical power generation power variation;
yaw correction strategy module 15: the yaw adjustment is performed by comparing the first power generation amount data and the second power generation amount data, so as to generate a yaw correction strategy;
simulation analysis module 16: the simulation analysis module 16 is used for performing simulation analysis on the wind turbine generator set according to the yaw correction strategy to generate a yaw correction result;
yaw correction module 17: the yaw correction module 17 is configured to determine whether the yaw correction result meets a preset correction interval, and if yes, perform yaw correction on the wind turbine generator according to the yaw correction result.
Further, the wind condition data generating module 11 further includes:
traversing the point positions of the wind turbine generator in the target area to generate a point position data set;
acquiring a plurality of historical wind condition information in a target area according to the landform characteristics;
matching the plurality of historical wind condition information with the point location data set to generate a characteristic point location data set;
and adaptively laying the plurality of laser radars based on the characteristic point location data set.
Further, the wind condition data generating module 11 further includes:
the plurality of laser radars perform real-time measurement based on the Doppler frequency shift principle, and generate a plurality of real-time measurement data;
calculating real-time wind speed data according to pressure differences based on the plurality of real-time measurement data;
calculating real-time wind direction data according to the wind vane position based on the plurality of real-time measurement data;
calculating real-time wind power data according to aerodynamic response coefficients based on the plurality of real-time measurement data;
and adding the real-time wind speed data, the real-time wind direction data and the real-time wind power data to the real-time wind condition data.
Further, the power variation module 12 further includes:
calculating the real-time wind condition data according to a wind angle expression to generate a plurality of wind angles of the wind turbine generator;
matching a plurality of time points according to the plurality of diagonal angles;
calculating the power generation power of the wind turbine generator set at the plurality of time points, and drawing a power generation power curve graph;
and extracting the power generation power variation trend of the wind turbine generator set through the power generation power curve graph, and determining the actual power generation power variation.
Further, the power variation module 12 further includes:
wherein beta is the wind angle of the ith wind motor in the wind turbine generator, a is the length of a first blade of the ith wind motor in the wind turbine generator, b is the length of a second blade of the ith wind motor in the wind turbine generator, c is the length of a third blade of the ith wind motor in the wind turbine generator, x is the diameter of a fan wheel disc of the ith wind motor, and p 1 For the wind speed, p, in real-time wind condition data 2 For wind direction, p in real-time wind condition data 3 The wind power is the opposite wind power in the real-time wind condition data.
Further, the method further comprises:
if the yaw correction result does not meet the preset correction interval, calculating the yaw deviation degree of the yaw correction result;
acquiring a data distance between a yaw correction result of the yaw deviation degree and a yaw preset result of yaw accuracy;
judging whether the data distance is smaller than a preset deviation nearest distance or not, if so, directly performing yaw correction according to the yaw correction result;
judging whether the data distance is greater than the farthest distance of the preset deviation, if so, rejecting the yaw correction result, carrying out simulation analysis on the wind turbine again, and updating the yaw correction result.
The foregoing detailed description of the yaw correction method of the wind turbine generator set will be apparent to those skilled in the art, and the yaw correction method of the wind turbine generator set in this embodiment is relatively simple for the device disclosed in the embodiments, and the relevant points refer to the description of the method section.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (7)
1. The yaw correction method for the wind turbine generator is characterized by comprising the following steps of:
based on the arrangement position of the wind turbine generator in the target area, a plurality of laser radars are arranged, wind condition identification is carried out on the target area through the plurality of laser radars, and real-time wind condition data are generated;
calculating a wind pairing angle based on the real-time wind condition data, acquiring a change trend of the power generation power of the wind turbine according to the wind pairing angle, and generating an actual power generation power change of the target wind turbine;
calculating and generating first power generation amount data of the wind turbine according to the actual power generation power variation amount;
updating the power generation power change trend of the wind turbine generator according to the estimated wind deviation angle of the wind turbine generator to generate theoretical power generation change of a target wind turbine generator, and calculating to generate second power generation data of the wind turbine generator according to the theoretical power generation change;
performing yaw adjustment according to the first power generation amount data and the second power generation amount data to generate a yaw correction strategy;
performing simulation analysis on the wind turbine generator set according to the yaw correction strategy to generate a yaw correction result;
judging whether the yaw correction result meets a preset correction interval or not, and if so, performing yaw correction on the wind turbine generator set according to the yaw correction result.
2. The method of claim 1, wherein the plurality of lidars are deployed, the method comprising:
traversing the point positions of the wind turbine generator in the target area to generate a point position data set;
acquiring a plurality of historical wind condition information in a target area according to the landform characteristics;
matching the plurality of historical wind condition information with the point location data set to generate a characteristic point location data set;
and adaptively laying the plurality of laser radars based on the characteristic point location data set.
3. The method of claim 1, wherein the wind condition identification is performed on the target area by the plurality of lidars to generate real-time wind condition data, the method comprising:
the plurality of laser radars perform real-time measurement based on the Doppler frequency shift principle, and generate a plurality of real-time measurement data;
calculating real-time wind speed data according to pressure differences based on the plurality of real-time measurement data;
calculating real-time wind direction data according to the wind vane position based on the plurality of real-time measurement data;
calculating real-time wind power data according to aerodynamic response coefficients based on the plurality of real-time measurement data;
and adding the real-time wind speed data, the real-time wind direction data and the real-time wind power data to the real-time wind condition data.
4. The method of claim 1, wherein the wind turbine generator power variation trend is obtained according to the wind turbine generator power variation trend based on the real-time wind condition data, and the actual power variation of the target wind turbine generator is generated, and the method comprises:
calculating the real-time wind condition data according to a wind angle expression to generate a plurality of wind angles of the wind turbine generator;
matching a plurality of time points according to the plurality of diagonal angles;
calculating the power generation power of the wind turbine generator set at the plurality of time points, and drawing a power generation power curve graph;
and extracting the power generation power variation trend of the wind turbine generator set through the power generation power curve graph, and determining the actual power generation power variation.
5. The method of claim 4, wherein the diagonal expression is as follows:
wherein beta is the wind angle of the ith wind motor in the wind turbine generator, a is the length of a first blade of the ith wind motor in the wind turbine generator, b is the length of a second blade of the ith wind motor in the wind turbine generator, c is the length of a third blade of the ith wind motor in the wind turbine generator, x is the diameter of a fan wheel disc of the ith wind motor, and p 1 For the wind speed, p, in real-time wind condition data 2 For wind direction, p in real-time wind condition data 3 The wind power is the opposite wind power in the real-time wind condition data.
6. The method of claim 1, wherein the method comprises:
if the yaw correction result does not meet the preset correction interval, calculating the yaw deviation degree of the yaw correction result;
acquiring a data distance between a yaw correction result of the yaw deviation degree and a yaw preset result of yaw accuracy;
judging whether the data distance is smaller than a preset deviation nearest distance or not, if so, directly performing yaw correction according to the yaw correction result;
judging whether the data distance is greater than the farthest distance of the preset deviation, if so, rejecting the yaw correction result, carrying out simulation analysis on the wind turbine again, and updating the yaw correction result.
7. Wind turbine yaw correction system, characterized in that the system comprises:
the wind condition data generation module: based on the arrangement position of the wind turbine generator in the target area, a plurality of laser radars are arranged, wind condition identification is carried out on the target area through the plurality of laser radars, and real-time wind condition data are generated;
a power variation module: calculating a wind pairing angle based on the real-time wind condition data, acquiring a change trend of the power generation power of the wind turbine according to the wind pairing angle, and generating an actual power generation power change of the target wind turbine;
a first power generation amount module: calculating and generating first power generation amount data of the wind turbine according to the actual power generation power variation amount;
a second power generation module: updating the power generation power change trend of the wind turbine generator according to the estimated wind deviation angle of the wind turbine generator to generate theoretical power generation change of a target wind turbine generator, and calculating to generate second power generation data of the wind turbine generator according to the theoretical power generation change;
yaw correction strategy module: performing yaw adjustment according to the first power generation amount data and the second power generation amount data to generate a yaw correction strategy;
and a simulation analysis module: performing simulation analysis on the wind turbine generator set according to the yaw correction strategy to generate a yaw correction result;
a yaw correction module: judging whether the yaw correction result meets a preset correction interval or not, and if so, performing yaw correction on the wind turbine generator set according to the yaw correction result.
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| CN118659535B (en) * | 2024-08-12 | 2025-03-07 | 深圳慧城智联科技有限公司 | 5G communication-based power data analysis method and system |
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