Wind turbine generation efficiency optimization method and system based on wind direction and wind speed monitoring

Abstract

The present invention provides a method and system for optimizing the power generation efficiency of a wind turbine based on wind direction and wind speed monitoring, wherein the method comprises: analyzing the data of wind direction and wind speed monitoring; based on the analysis result, retrieving the corresponding working parameter set from the working mode library of the pre-configured wind turbine; and configuring the wind turbine based on the working parameter set. The method for optimizing the power generation efficiency of a wind turbine based on wind direction and wind speed monitoring of the present invention monitors the changes of wind direction and wind speed in real time, adjusts the operating state of the wind turbine, optimizes the speed of the turbine and the qualified power output by monitoring and predicting the changes of wind conditions, and thus realizes the maximum wind energy conversion.

Description

Technical Field

[0001] The present invention relates to the technical field of wind power generation, and in particular to a method and system for optimizing the power generation efficiency of a wind turbine set based on wind direction and wind speed monitoring. Background Art

[0002] Wind power generation refers to the conversion of wind kinetic energy into electrical energy. Wind energy is a clean, pollution-free renewable energy source that has been used by people for a long time, mainly through windmills to pump water and grind flour. People are interested in how to use wind to generate electricity. Using wind power to generate electricity is very environmentally friendly, and the amount of wind energy is huge, so it is increasingly valued by countries around the world.

[0003] The wind turbine generator set includes a wind rotor and a generator; the wind rotor contains blades, a hub, and reinforcements; it has the functions of generating electricity by rotating the blades under wind power and rotating the generator head. The wind power source consists of a wind turbine generator set, a tower supporting the generator set, a battery charge controller, an inverter, a load unloader, a grid-connected controller, and a battery pack.

[0004] Since wind direction and speed change all the time, how to maximize wind energy conversion is a technical problem that needs to be solved urgently. Summary of the invention

[0005] One of the purposes of the present invention is to provide a method for optimizing the power generation efficiency of a wind turbine set based on wind direction and wind speed monitoring, to monitor changes in wind direction and wind speed in real time, to adjust the operating status of the wind turbine set, to optimize the speed of the set to meet the power output requirements by monitoring and predicting changes in wind conditions, and thereby to achieve maximum wind energy conversion.

[0006] An embodiment of the present invention provides a method for optimizing the power generation efficiency of a wind turbine generator system based on wind direction and wind speed monitoring, comprising:

[0007] Analyze the data of wind direction and wind speed monitoring;

[0008] According to the analysis results, a corresponding working parameter set is retrieved from a pre-configured working mode library of the wind turbine;

[0009] The wind turbine is configured according to the operating parameter set.

[0010] Preferably, the data for wind direction and wind speed monitoring is obtained through communication with a small meteorological station disposed on one side of the wind turbine generator set.

[0011] Preferably, the data of wind direction and wind speed monitoring are analyzed, including:

[0012] The data are grouped and sampled at a preset time sampling interval to obtain the average value of wind speed and representative value of wind direction corresponding to each group;

[0013] Based on the average value of wind speed and representative value of wind direction corresponding to each group, an analysis data set is constructed;

[0014] Based on the analysis data set, the prediction data set is retrieved from the pre-configured prediction library.

[0015] Preferably, the parameters in the operating parameter set include: blade orientation, pitch angle, converter operating parameters, grid cut-in and cut-out control parameters, overspeed protection control parameters, generator overload and fault protection control parameters, over-vibration protection control parameters, and shutdown protection control parameters when the grid or load is lost, or one or more combinations thereof.

[0016] Preferably, before configuring the wind turbine generator set according to the working parameter set, the working parameter set is modified according to historical working data of the wind turbine generator set.

[0017] The present invention also provides a wind turbine generation efficiency optimization system based on wind direction and wind speed monitoring, comprising: an analysis module, a retrieval module and a configuration module;

[0018] Among them, the analysis module analyzes the data of wind direction and wind speed monitoring; the retrieval module retrieves the corresponding working parameter set from the pre-configured working mode library of the wind turbine according to the analysis results; and the configuration module configures the wind turbine according to the working parameter set.

[0019] Preferably, the data for wind direction and wind speed monitoring is obtained through communication with a small meteorological station disposed on one side of the wind turbine generator set.

[0020] Preferably, the analysis module includes: a group sampling unit, a construction unit and a prediction unit; wherein the group sampling unit performs group sampling on the data at a preset time sampling interval to obtain the average value of the wind speed corresponding to each group and the representative value of the wind direction; the construction unit constructs an analysis data set based on the average value of the wind speed and the representative value of the wind direction corresponding to each group; the prediction unit retrieves the prediction data set from a pre-configured prediction library based on the analysis data set.

[0021] Preferably, the parameters in the operating parameter set include: blade orientation, pitch angle, converter operating parameters, grid cut-in and cut-out control parameters, overspeed protection control parameters, generator overload and fault protection control parameters, over-vibration protection control parameters, and shutdown protection control parameters when the grid or load is lost, or one or more combinations thereof.

[0022] Preferably, before configuring the wind turbine generator set according to the working parameter set, the configuration module further performs parameter correction on the working parameter set according to historical working data of the wind turbine generator set.

[0023] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0024] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0026] Figure 1 A schematic diagram of a method for optimizing power generation efficiency of a wind turbine generator system based on wind direction and wind speed monitoring in an embodiment of the present invention;

[0027] Figure 2 Schematic diagram of a wind turbine generation efficiency optimization system based on wind direction and wind speed monitoring in an embodiment of the present invention. DETAILED DESCRIPTION

[0028] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0029] The embodiment of the present invention provides a method for optimizing the power generation efficiency of a wind turbine generator system based on wind direction and wind speed monitoring, such as Figure 1 As shown, including:

[0030] Step 1: Analyze the data of wind direction and wind speed monitoring;

[0031] The data of wind direction and wind speed monitoring are obtained through communication with a small meteorological station configured on one side of the wind turbine; the data of wind direction and wind speed monitoring are analyzed, including: grouping and sampling the data at a preset time sampling interval to obtain the average value of the wind speed corresponding to each group and the representative value of the wind direction; constructing an analysis data set based on the average value of the wind speed and the representative value of the wind direction corresponding to each group; based on the analysis data set, retrieving the prediction data set from a pre-configured prediction library; wherein the time sampling interval can be configured to any value between 1 minute and 2 hours; the number of sampled groups is N groups, wherein N is greater than or equal to 2; resampling the data facilitates the prediction calculation of wind direction and wind speed, and the prediction library is constructed in advance based on a large number of wind direction and wind speed monitoring data of the wind turbine setting location through analysis by professionals, and the analysis data set and the prediction data set in the library are associated one-to-one; in addition, in order to improve the accuracy of the prediction, time data can also be added, that is, parameter data representing the current time is added when constructing the analysis data set;

[0032] Step 2: According to the analysis result, a corresponding working parameter set is retrieved from a pre-configured working mode library of the wind turbine generator set;

[0033] The working mode library is pre-built, in which the working parameter sets are associated with the analysis results one by one;

[0034] Step 3: Configure the wind turbine according to the working parameter set.

[0035] The parameters in the working parameter set include: blade orientation, pitch angle, converter working parameters, grid cut-in and cut-out control parameters, overspeed protection control parameters, generator overload and fault protection control parameters, over-vibration protection control parameters, and shutdown protection control parameters when the grid or load is lost, or one or more combinations thereof.

[0036] The wind turbine generation efficiency optimization method based on wind direction and wind speed monitoring of the present invention monitors the changes in wind direction and wind speed in real time, adjusts the operating state of the wind turbine, optimizes the speed of the unit to meet the power output requirements by monitoring and predicting changes in wind conditions, and thus achieves maximum wind energy conversion.

[0037] In one embodiment, before configuring the wind turbine generator set according to the working parameter set, the working parameter set is further modified according to the historical working data of the wind turbine generator set;

[0038] The specific steps of parameter correction are as follows: extract historical working data of the wind turbine according to a pre-configured data extraction template to obtain multiple groups of characterization data; arrange the multiple groups of characterization data in order to form a characterization data set, and retrieve the corresponding parameter correction set from the pre-configured correction library according to the characterization data set; correct each corresponding parameter in the working parameter set according to each parameter correction value in the parameter correction set; wherein each group of characterization data includes: parameters representing historical power generation, parameters representing the rotation speed of the wind blade during historical power generation, parameters representing the wind speed and direction during historical power generation, parameters representing the pitch angle during historical power generation, etc.; the grouping rule of the characterization data is to separate the data into groups at preset time intervals; the correction library is constructed in advance, and the parameter correction set is associated with the characterization data set in a one-to-one correspondence in the correction library.

[0039] Among them, the construction of the correction library is to analyze the operation data of the wind turbines of the same type and the same use environment throughout their life cycle; first, the operation data of the wind turbines throughout their life cycle stored are grouped according to the identification parameter set of the wind turbines and the environmental parameter set of the set use environment; the parameters in the identification parameter set include: parameters representing the size, model, material and other data of each component; the parameters in the environmental parameter set include: parameters representing the longitude and latitude coordinates, parameters representing the nearby geological landforms, etc.;

[0040] The operation data of the whole life cycle of each wind turbine in the same group are segmented and associated, and the operation data of each segment is matched with the standard data template; the average value of the difference between the output power of the operation data and the standard output power under the same wind speed and direction and the same working parameters is determined, and the pre-configured power difference and working parameter correspondence table is queried according to the difference to determine the corresponding parameter correction value; thus, a correction item in the correction library is obtained; the segmentation is performed based on time, for example, the pre-configured first time interval (which can be configured as any value between 1 minute and 2 hours) is used for segmentation;

[0041] In the specific operation link of parameter correction, the time span corresponding to the multiple groups of characterization data must be the same as the first time interval to ensure the accuracy of the correction.

[0042] In order to achieve more accurate analysis of wind speed and direction, in one embodiment, meteorological forecast data is obtained from a third-party platform, the meteorological forecast data is parsed, and wind speed and wind direction indication parameters are determined; the wind speed and wind direction indication parameters are integrated with the wind direction parameters and wind speed parameters in the forecast data set, and the final wind direction parameters and wind speed parameters are determined based on a pre-configured integrated database;

[0043] The integration of wind speed, wind direction indication parameters and wind direction parameters and wind speed parameters in the prediction data set is to arrange the wind speed, wind direction indication parameters and wind direction parameters and wind speed parameters in the prediction data set in order to form an integration vector;

[0044] Determine the final wind direction and speed parameters based on the pre-configured integrated database, including:

[0045] Match the integrated vector with the standard vector in the integrated database, and retrieve the wind direction parameter and wind speed parameter corresponding to the matched standard vector as the final wind direction parameter and wind speed parameter;

[0046] The integrated database is constructed through prior analysis and is obtained through corresponding correlation analysis between a large amount of meteorological forecast data from third-party platforms and the corresponding actual detection data.

[0047] In one embodiment, a method for optimizing power generation efficiency of a wind turbine based on wind direction and wind speed monitoring further includes: sampling and analyzing the operating data of the configured wind turbine to determine stability and utility; when the stability is less than or equal to a preset stability threshold, performing a step-by-step downward adjustment based on a pre-configured downward adjustment parameter set; when the utility is less than or equal to a preset utility threshold, performing a step-by-step upward adjustment based on a pre-configured upward adjustment parameter set; and giving priority to adjustments based on stability judgment.

[0048] Both the downward adjustment parameter set and the upward adjustment parameter set are stored in association with the current working parameter set, that is, different working parameter sets correspond to different downward adjustment parameter sets and upward adjustment parameter sets, so as to make adjustments with the smallest possible impact.

[0049] When the stability is judged to be downward and the adjustment is stable, and the utility is less than or equal to the preset alarm threshold, an alarm is output to remind the staff to carry out maintenance.

[0050] Since the optimization is performed on the basis that the wind turbine has been running for a period of time, when the wind turbine has just started running, how to optimize the power generation efficiency is proposed. A joint control mode is proposed; in one embodiment, the method for optimizing the power generation efficiency of a wind turbine based on wind direction and wind speed monitoring also includes:

[0051] Based on the identification parameter set and the environmental parameter set, other wind turbines are screened to obtain reference objects;

[0052] Calculate the first score of each reference object based on stability and utility;

[0053] Calculate a second score for each reference object based on the usage time;

[0054] Retrieving the working parameter set of the reference object having the largest sum of the first score and the second score as the working parameter set for the initial operation of the wind turbine generator set;

[0055] The initial operation stage is to obtain the time span of historical data that meets the data required to construct the analysis data set; in the initial operation stage, fine-tuning can be performed based on the down-adjustment parameter set and the up-adjustment parameter set. Among them, the first score is the sum of the product of stability and utility and the pre-configured weight coefficient respectively; the second score is the score value determined by querying the pre-configured second score determination table using time.

[0056] In one embodiment, the method for optimizing the power generation efficiency of a wind turbine based on wind direction and wind speed monitoring further includes: obtaining the adjustment status of each control parameter in the control parameter set of the wind turbine in the upwind direction, and performing pre-adjustment according to the adjustment status, wherein the pre-adjustment is performed after the configuration of the configuration module is completed, and the pre-adjustment time is a time period after the adjustment of the wind turbine in the upwind direction, and the time period corresponds to the distance between the wind turbine in the upwind direction and the wind turbine divided by the time value obtained by the projection component of the wind speed monitored by the upwind wind turbine on the wind turbine line minus the value obtained by subtracting a pre-configured advance threshold (any value from 0.1 seconds to 10 seconds);

[0057] Among them, how to accurately determine the wind turbines in the upwind direction is the basis for longitudinal linkage control. The specific determination steps are as follows:

[0058] According to the positions of the wind turbine and other wind turbines on the two-dimensional map, a direction vector is constructed; the direction vector points from the positions of other wind turbines to the current wind turbine;

[0059] Map the wind direction data to a two-dimensional map to form a standard vector;

[0060] Calculate the angles between each standard vector and the wind direction vector;

[0061] Extract the direction vector corresponding to the smallest angle, and take the other wind turbines corresponding to the direction vector as the wind turbines in the upwind direction;

[0062] In addition, a plane perpendicular to the wind direction is determined based on the current location and wind direction of the wind turbines; wind turbines with angles less than or equal to a preset angle threshold are mapped onto the plane to determine each mapping point;

[0063] Extract the distance between the mapping point and the point of the wind turbine generator set that is less than or equal to the length of the wind turbine blade and construct a coefficient determination parameter set; determine the pre-adjustment coefficient according to the pre-configured coefficient determination library; determine the pre-adjustment value of each parameter of the current wind turbine generator set according to the pre-adjustment coefficient and the adjustment value of each parameter in the adjustment situation;

[0064] Among them, the pre-adjustment coefficient in the coefficient determination library is correspondingly associated with the coefficient determination parameter set; and the parameters of the coefficient determination parameter set are the distance values ​​from each extracted mapping point to the point position of the current wind turbine; and the more parameters in the coefficient determination parameter set, the smaller the determined pre-adjustment coefficient, and the smaller the value of each parameter, the smaller the determined pre-adjustment coefficient.

[0065] The present invention also provides a wind turbine generation efficiency optimization system based on wind direction and wind speed monitoring, comprising: an analysis module 1, a retrieval module 2 and a configuration module 3;

[0066] Among them, the analysis module 1 analyzes the data of wind direction and wind speed monitoring; the retrieval module 2 retrieves the corresponding working parameter set from the pre-configured working mode library of the wind turbine according to the analysis results; and the configuration module 3 configures the wind turbine according to the working parameter set.

[0067] The data of wind direction and wind speed monitoring are obtained through communication with a small meteorological station configured on one side of the wind turbine.

[0068] Among them, the analysis module includes: a group sampling unit, a construction unit and a prediction unit; wherein the group sampling unit groups and samples the data at a preset time sampling interval to obtain the average value of the wind speed corresponding to each group and the representative value of the wind direction; the construction unit constructs an analysis data set based on the average value of the wind speed and the representative value of the wind direction corresponding to each group; the prediction unit retrieves the prediction data set from a pre-configured prediction library based on the analysis data set.

[0069] Among them, the parameters in the working parameter set include: blade orientation, pitch angle, converter working parameters, grid cut-in and cut-out control parameters, overspeed protection control parameters, generator overload and fault protection control parameters, over-vibration protection control parameters, and shutdown protection control parameters when the grid or load is lost, or one or more combinations thereof.

[0070] Before configuring the wind turbine generator set according to the working parameter set, the configuration module further performs parameter correction on the working parameter set according to the historical working data of the wind turbine generator set.

[0071] The specific steps of parameter correction are as follows: extract historical working data of the wind turbine according to a pre-configured data extraction template to obtain multiple groups of characterization data; arrange the multiple groups of characterization data in order to form a characterization data set, and retrieve the corresponding parameter correction set from the pre-configured correction library according to the characterization data set; correct each corresponding parameter in the working parameter set according to each parameter correction value in the parameter correction set; wherein each group of characterization data includes: parameters representing historical power generation, parameters representing the rotation speed of the wind blade during historical power generation, parameters representing the wind speed and direction during historical power generation, parameters representing the pitch angle during historical power generation, etc.; the grouping rule of the characterization data is to separate the data into groups at preset time intervals; the correction library is constructed in advance, and the parameter correction set is associated with the characterization data set in a one-to-one correspondence in the correction library.

[0072] Among them, the construction of the correction library is to analyze the operation data of the wind turbines of the same type and the same use environment throughout their life cycle; first, the operation data of the wind turbines throughout their life cycle stored are grouped according to the identification parameter set of the wind turbines and the environmental parameter set of the set use environment;

[0073] The operation data of the whole life cycle of each wind turbine in the same group are segmented and associated, and the operation data of each segment is matched with the standard data template; the average value of the difference between the output power of the operation data and the standard output power under the same wind speed and direction and the same working parameters is determined, and the pre-configured power difference and working parameter correspondence table is queried according to the difference to determine the corresponding parameter correction value; thus, a correction item in the correction library is obtained; the segmentation is performed based on time, for example, the pre-configured first time interval (which can be configured as any value between 1 minute and 2 hours) is used for segmentation;

[0074] In the specific operation link of parameter correction, the time span corresponding to the multiple groups of characterization data must be the same as the first time interval to ensure the accuracy of the correction.

[0075] In order to achieve more accurate analysis of wind speed and direction, in one embodiment, the analysis module 1 further performs the following operations:

[0076] Obtain weather forecast data from a third-party platform, analyze the weather forecast data, and determine wind speed and wind direction indication parameters; integrate wind speed and wind direction indication parameters with wind direction parameters and wind speed parameters in the forecast data set, and determine the final wind direction parameters and wind speed parameters based on a pre-configured integrated database.

[0077] In one embodiment, a wind turbine generation efficiency optimization system based on wind direction and wind speed monitoring further includes: an implementation adjustment module for sampling and analyzing the operating data of the configured wind turbine to determine stability and utility; when the stability is less than or equal to a preset stability threshold, a step-down adjustment is performed based on a pre-configured downward adjustment parameter set; when the utility is less than or equal to a preset utility threshold, a step-up adjustment is performed based on a pre-configured upward adjustment parameter set; and the adjustment is made with stability judgment as a priority.

[0078] Since the optimization is performed on the basis that the wind turbine has been running for a period of time, when the wind turbine has just started to run, how to optimize the power generation efficiency, a joint control mode is proposed; in one embodiment, the wind turbine power generation efficiency optimization system based on wind direction and wind speed monitoring also includes: an initial operation module,

[0079] The initial run module performs the following operations:

[0080] Based on the identification parameter set and the environmental parameter set, other wind turbines are screened to obtain reference objects;

[0081] Calculate the first score of each reference object based on stability and utility;

[0082] Calculate a second score for each reference object based on the usage time;

[0083] Retrieving the working parameter set of the reference object having the largest sum of the first score and the second score as the working parameter set for the initial operation of the wind turbine generator set;

[0084] The initial operation stage is to obtain the time span of historical data that meets the data required to construct the analysis data set; in the initial operation stage, fine-tuning can be performed based on the down-adjustment parameter set and the up-adjustment parameter set. Among them, the first score is the sum of the product of stability and utility and the pre-configured weight coefficient respectively; the second score is the score value determined by querying the pre-configured second score determination table using time.

[0085] In one embodiment, the wind turbine generation efficiency optimization system based on wind direction and wind speed monitoring further includes: a pre-adjustment module, the pre-adjustment module obtains the adjustment status of each control parameter in the control parameter set of the wind turbine in the upwind direction, and performs pre-adjustment according to the adjustment status. The pre-adjustment is performed after the configuration of the configuration module is completed. The pre-adjustment time is a time period after the adjustment of the wind turbine in the upwind direction. The time period corresponds to the distance between the wind turbine in the upwind direction and the wind turbine divided by the time value obtained by the projection component of the wind speed monitored by the upwind wind turbine on the wind turbine line minus the pre-configured advance threshold (any value from 0.1 seconds to 10 seconds).

[0086] Among them, how to accurately determine the wind turbines in the upwind direction is the basis for longitudinal linkage control. The specific determination steps are as follows:

[0087] According to the positions of the wind turbine and other wind turbines on the two-dimensional map, a direction vector is constructed; the direction vector points from the positions of other wind turbines to the current wind turbine;

[0088] Map the wind direction data to a two-dimensional map to form a standard vector;

[0089] Calculate the angles between each standard vector and the wind direction vector;

[0090] Extract the direction vector corresponding to the smallest angle, and take the other wind turbines corresponding to the direction vector as the wind turbines in the upwind direction;

[0091] In addition, a plane perpendicular to the wind direction is determined based on the current location and wind direction of the wind turbines; wind turbines with angles less than or equal to a preset angle threshold are mapped onto the plane to determine each mapping point;

[0092] Extract the distance between the mapping point and the point of the wind turbine generator set that is less than or equal to the length of the wind turbine blade and construct a coefficient determination parameter set; determine the pre-adjustment coefficient according to the pre-configured coefficient determination library; determine the pre-adjustment value of each parameter of the current wind turbine generator set according to the pre-adjustment coefficient and the adjustment value of each parameter in the adjustment situation;

[0093] Among them, the pre-adjustment coefficient in the coefficient determination library is correspondingly associated with the coefficient determination parameter set; and the parameters of the coefficient determination parameter set are the distance values ​​from each extracted mapping point to the point position of the current wind turbine; and the more parameters in the coefficient determination parameter set, the smaller the determined pre-adjustment coefficient, and the smaller the value of each parameter, the smaller the determined pre-adjustment coefficient.

[0094] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for optimizing the power generation efficiency of a wind turbine based on wind direction and wind speed monitoring, characterized in that: include: Analyze the data of wind direction and wind speed monitoring; According to the analysis results, a corresponding working parameter set is retrieved from a pre-configured working mode library of the wind turbine; Configure the wind turbine according to the operating parameter set; When the wind turbine is just running, the method for optimizing the power generation efficiency of the wind turbine based on wind direction and wind speed monitoring also includes: Based on the identification parameter set and the environmental parameter set, other wind turbines are screened to obtain reference objects; Calculate the first score of each reference object based on stability and utility; Calculate a second score for each reference object based on the usage time; Retrieving the working parameter set of the reference object having the largest sum of the first score and the second score as the working parameter set for the initial operation of the wind turbine generator set; The initial operation stage is to obtain the time span of historical data that meets the data requirements for constructing the analysis data set; in the initial operation stage, fine-tuning can be performed based on the downward parameter set and the upward parameter set; wherein the first score is the sum of the products of stability and utility and the pre-configured weight coefficients respectively; the second score is the score value determined by using the time query pre-configured second score determination table.

2. The method for optimizing wind turbine generation efficiency based on wind direction and wind speed monitoring according to claim 1, characterized in that: The data for wind direction and wind speed monitoring is obtained through communication with a small meteorological station configured on one side of the wind turbine.

3. The method for optimizing wind turbine generation efficiency based on wind direction and wind speed monitoring according to claim 2, characterized in that: Analyze the wind direction and wind speed monitoring data, including: The data are grouped and sampled at a preset time sampling interval to obtain the average value of wind speed and representative value of wind direction corresponding to each group; Based on the average value of wind speed and representative value of wind direction corresponding to each group, an analysis data set is constructed; Based on the analysis data set, the prediction data set is retrieved from the pre-configured prediction library.

4. The method for optimizing wind turbine generation efficiency based on wind direction and wind speed monitoring according to claim 1, characterized in that: The parameters in the working parameter set include: blade orientation, pitch angle, converter working parameters, grid cut-in and cut-out control parameters, overspeed protection control parameters, generator overload and fault protection control parameters, over-vibration protection control parameters, and shutdown protection control parameters when the grid or load is lost, or one or more combinations thereof.

5. The method for optimizing wind turbine generation efficiency based on wind direction and wind speed monitoring according to claim 1, characterized in that: Before configuring the wind turbine generator set according to the working parameter set, the working parameter set is also modified according to the historical working data of the wind turbine generator set.

6. A wind turbine generation efficiency optimization system based on wind direction and wind speed monitoring, characterized in that: include: Analysis module, retrieval module, configuration module and initial operation module; Among them, the analysis module analyzes the data of wind direction and wind speed monitoring; the retrieval module retrieves the corresponding working parameter set from the pre-configured working mode library of the wind turbine according to the analysis results; the configuration module configures the wind turbine according to the working parameter set; When the wind turbine is just running, the initial operation module performs the following operations: Based on the identification parameter set and the environmental parameter set, other wind turbines are screened to obtain reference objects; Calculate the first score of each reference object based on stability and utility; Calculate a second score for each reference object based on the usage time; Retrieving the working parameter set of the reference object having the largest sum of the first score and the second score as the working parameter set for the initial operation of the wind turbine generator set; The initial operation stage is to obtain the time span of historical data that meets the data requirements for constructing the analysis data set; in the initial operation stage, fine-tuning can be performed based on the downward parameter set and the upward parameter set; wherein the first score is the sum of the products of stability and utility and the pre-configured weight coefficients respectively; the second score is the score value determined by using the time query pre-configured second score determination table.

7. The wind turbine generation efficiency optimization system based on wind direction and wind speed monitoring according to claim 6, characterized in that: The data for wind direction and wind speed monitoring is obtained through communication with a small meteorological station configured on one side of the wind turbine.

8. The wind turbine generation efficiency optimization system based on wind direction and wind speed monitoring according to claim 7, characterized in that: The analysis module includes: a group sampling unit, a construction unit and a prediction unit; wherein the group sampling unit performs group sampling on the data at a preset time sampling interval to obtain the average value of the wind speed corresponding to each group and the representative value of the wind direction; the construction unit constructs an analysis data set based on the average value of the wind speed and the representative value of the wind direction corresponding to each group; the prediction unit retrieves the prediction data set from a pre-configured prediction library based on the analysis data set.

9. The wind turbine generation efficiency optimization system based on wind direction and wind speed monitoring according to claim 6, characterized in that: The parameters in the working parameter set include: blade orientation, pitch angle, converter working parameters, grid cut-in and cut-out control parameters, overspeed protection control parameters, generator overload and fault protection control parameters, over-vibration protection control parameters, and shutdown protection control parameters when the grid or load is lost, or one or more combinations thereof.

10. The wind turbine generation efficiency optimization system based on wind direction and wind speed monitoring according to claim 6, characterized in that: Before configuring the wind turbine generator set according to the working parameter set, the configuration module also performs parameter correction on the working parameter set according to the historical working data of the wind turbine generator set.

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