CN114412705A - Wind turbine generator system cabin displacement monitoring optimization method and system based on turbulence intensity - Google Patents
Wind turbine generator system cabin displacement monitoring optimization method and system based on turbulence intensity Download PDFInfo
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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
- F03D7/022—Adjusting aerodynamic properties of the blades
- F03D7/0224—Adjusting blade pitch
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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
- F03D7/0264—Controlling wind motors the wind motors having rotation axis substantially parallel to the air flow entering the rotor for stopping; controlling in emergency situations
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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
- F03D7/0296—Controlling wind motors the wind motors having rotation axis substantially parallel to the air flow entering the rotor to prevent, counteract or reduce noise emissions
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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
- F03D7/043—Automatic control; Regulation by means of an electrical or electronic controller characterised by the type of control logic
- F03D7/045—Automatic control; Regulation by means of an electrical or electronic controller characterised by the type of control logic with model-based controls
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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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- 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 disclosure provides a wind turbine generator cabin displacement monitoring optimization method and system based on turbulence intensity, which comprises the following steps: obtaining the maximum value of the current cabin displacement according to the current turbulence intensity of the unit; when the displacement value of the engine room is larger than or equal to the shutdown threshold value for the first time, the fan executes a variable-pitch optimization action; when the cabin displacement value is not larger than or equal to the shutdown threshold for the first time, and the times that the cabin displacement value is larger than or equal to the shutdown threshold in the specified time reaches the shutdown time upper limit, the fan executes the variable-pitch shutdown action, otherwise, the alarm logic judgment is carried out; and when the number of times that the cabin displacement value is greater than or equal to the alarm threshold value reaches the alarm number upper limit in the specified time, executing an alarm action by the fan, otherwise, normally operating the fan. According to the method, the turbulence intensity is obtained according to the real-time wind speed, the maximum value of the displacement of the engine room under the current wind condition is obtained, and then the monitoring optimization algorithm is developed according to the maximum value of the displacement of the engine room, so that the vibration problem is optimized, and the generating capacity of a unit is improved.
Description
Technical Field
The disclosure relates to the technical field of wind power control, in particular to a wind turbine generator cabin displacement monitoring and optimizing method and system based on turbulence intensity.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
With the vigorous development of renewable energy sources, the power level of a wind turbine generator is gradually increased, the corresponding blade length, tower height and tower flexibility are also continuously increased, and the corresponding tower top load is also increased.
Because the environmental condition of the wind generating set is severe, the displacement of the engine room cannot be observed in real time, in addition, the extreme wind condition, the yaw of the generator set, the brake and other actions can cause the vibration of the generator set, when the displacement of the engine room exceeds a certain limit value, the generator set can alarm and stop, if the displacement of the engine room is serious, even the risk of tower falling exists, the generator set is directly damaged, and serious economic loss is caused. Wind is the most direct factor influencing the aerodynamic characteristics and the structural characteristics of the fan, the corresponding turbulence intensity represents the relative intensity of the pulsating wind speed, the turbulence intensity is also one of important parameters for fan safety grade classification, and if the turbulence intensity is too large, the vibration amplitude of a cabin is over-limited, the load is increased, and further the unit safety is influenced.
Disclosure of Invention
In order to solve the problems, the invention provides a method and a system for monitoring and optimizing the cabin displacement of a wind turbine generator based on turbulence intensity, the method and the system aim to monitor the cabin displacement in real time by installing a cabin displacement sensor (or other sensors), the relation among wind speed, turbulence intensity and the maximum value of the cabin displacement is mainly obtained through simulation of wind turbine generator load software (for convenience of description, the maximum value of the cabin displacement is an absolute maximum value), the turbulence intensity is obtained according to the real-time wind speed so as to obtain the maximum value of the cabin displacement under the current wind condition, and then a monitoring and optimizing algorithm is developed according to the maximum value of the cabin displacement, so that the vibration problem is optimized, and the generating capacity of the wind turbine generator is improved.
According to some embodiments, a first aspect of the present disclosure provides a wind turbine generator nacelle displacement monitoring and optimizing method based on turbulence intensity, which adopts the following technical scheme:
a wind turbine generator cabin displacement monitoring optimization method based on turbulence intensity comprises the following steps:
obtaining the maximum value of the current cabin displacement according to the current turbulence intensity of the unit;
when the displacement value of the engine room is larger than or equal to the shutdown threshold value for the first time, the fan executes a variable-pitch optimization action;
when the cabin displacement value is not larger than or equal to the shutdown threshold for the first time, and the times that the cabin displacement value is larger than or equal to the shutdown threshold in the specified time reaches the shutdown time upper limit, the fan executes the variable-pitch shutdown action, otherwise, the alarm logic judgment is carried out;
and when the number of times that the cabin displacement value is greater than or equal to the alarm threshold value reaches the alarm number upper limit in the specified time, executing an alarm action by the fan, otherwise, normally operating the fan.
According to some embodiments, a second aspect of the present disclosure provides a wind turbine generator nacelle displacement monitoring and optimizing system based on turbulence intensity, which adopts the following technical solutions:
a wind turbine generator system cabin displacement monitoring optimization system based on turbulence intensity comprises:
the cabin displacement determining module is configured to obtain the maximum value of the current cabin displacement according to the current turbulence intensity of the unit;
the fan variable-pitch optimization module is configured to execute variable-pitch optimization action when the displacement value of the cabin is greater than or equal to the shutdown threshold value for the first time;
the fan variable-pitch shutdown module is configured to execute variable-pitch shutdown actions when the cabin displacement value is not larger than or equal to the shutdown threshold value for the first time and the number of times that the cabin displacement value is larger than or equal to the shutdown threshold value reaches the shutdown number upper limit within a specified time, or enter fan variable-pitch alarm module for judgment;
and the fan variable-pitch warning module is configured to execute a warning action if the number of times that the cabin displacement value is greater than or equal to the warning threshold value reaches the warning number upper limit within a specified time, or else, the fan operates normally.
According to some embodiments, a third aspect of the present disclosure provides a non-transitory computer-readable storage medium.
A non-transitory computer readable storage medium having stored thereon computer instructions which, when executed by a processor, implement the steps in a method for turbulence intensity based monitoring and optimization of nacelle displacement of a wind turbine as described in the first aspect above.
According to some embodiments, a fourth aspect of the present disclosure provides an electronic device.
An electronic device, comprising: a processor, a memory, and a computer program; wherein, a processor is connected with a memory, a computer program is stored in the memory, and when the electronic device runs, the processor executes the computer program stored in the memory, so that the electronic device executes the steps of implementing the wind turbine nacelle displacement monitoring and optimizing method based on turbulence intensity as described in the first aspect.
Compared with the prior art, the beneficial effect of this disclosure is:
1. according to the method, the maximum value of the displacement of the engine room under the current wind condition is adopted, an alarm threshold value and a shutdown threshold value are further set, the action of the unit is accurately controlled, the unnecessary shutdown time of the unit is reduced, and the loss of generated energy is reduced;
2. the method disclosed by the disclosure is simple and easy to realize, and can improve the reliability of the unit;
3. the method, the control optimization method and the control optimization method can effectively alleviate the vibration problem of the unit and reduce the operation load of the unit.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure and are not to limit the disclosure.
FIG. 1 is a flow chart of a wind turbine nacelle displacement monitoring optimization method based on turbulence intensity according to a first embodiment of the disclosure;
fig. 2 is a schematic view of a nacelle displacement direction in a wind turbine nacelle displacement monitoring and optimizing method based on turbulence intensity according to a first embodiment of the disclosure.
Detailed Description
The present disclosure is further described with reference to the following drawings and examples.
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present disclosure. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.
Example one
The embodiment provides a wind turbine generator cabin displacement monitoring and optimizing method based on turbulence intensity, which comprises the following steps:
obtaining the maximum value of the current cabin displacement according to the current turbulence intensity of the unit;
when the displacement value of the engine room is larger than or equal to the shutdown threshold value for the first time, the fan executes a variable-pitch optimization action;
when the cabin displacement value is not larger than or equal to the shutdown threshold for the first time, and the times that the cabin displacement value is larger than or equal to the shutdown threshold in the specified time reaches the shutdown time upper limit, the fan executes the variable-pitch shutdown action, otherwise, the alarm logic judgment is carried out;
and when the number of times that the cabin displacement value is greater than or equal to the alarm threshold value reaches the alarm number upper limit in the specified time, executing an alarm action by the fan, otherwise, normally operating the fan.
Specifically, a machine set provided with a machine room displacement sensor (or other sensors) is selected, and the real-time monitoring function of the machine room displacement of the wind turbine is realized;
setting upper and lower limits of a turbulence intensity reference value (namely a turbulence intensity reference value corresponding to an average wind speed of 15 m/s) and turbulence intensity simulation intervals according to the standard of fan grade classification in IEC 61400-1-2019, fixing other unit parameters, carrying out simulation analysis, and counting the distribution condition of the maximum value of cabin displacement of each wind speed under different turbulence intensity reference values;
obtaining the current turbulence intensity of the unit through the real-time wind speed of the unit, and then carrying out numerical search on the distribution condition of the maximum value of the displacement of the engine room of each wind speed under different turbulence intensity reference values by combining the real-time wind speed to obtain the maximum value of the displacement of the engine room under the current wind condition (the intermediate value can be obtained through interpolation processing);
setting a cabin displacement alarm threshold and a shutdown threshold on the basis of the current cabin displacement maximum; alarm time, alarm times upper limit and shutdown times upper limit;
when the displacement value of the engine room is larger than or equal to the shutdown threshold value for the first time, the fan executes a variable-pitch optimization action;
when the fan performs variable pitch optimization, adjusting the pitch angle by judging the displacement direction of the engine room and the current wind speed, thereby executing different variable pitch optimization actions;
when the cabin displacement value is not larger than or equal to the shutdown threshold for the first time, and the times that the cabin displacement value is larger than or equal to the shutdown threshold in the specified time reaches the shutdown time upper limit, the fan executes the variable-pitch shutdown action, otherwise, the alarm logic judgment is carried out;
and when the number of times that the cabin displacement value is greater than or equal to the alarm threshold value reaches the alarm number upper limit in the specified time, executing an alarm action by the fan, otherwise, normally operating the fan.
The present disclosure is further described below in conjunction with the figures and the detailed description of the specification.
As shown in fig. 1, in this embodiment, a certain 5MW wind turbine is taken as an example for description, a wind wheel diameter 171m, a tower height 110m, a cut-in wind speed 3m/s, a cut-out wind speed 22m/s, a rated wind speed 9.9m/s, and an annual average wind speed 7.3m/s of the 5MW wind turbine mainly include the following steps:
s1: and selecting a unit provided with a cabin displacement sensor (or other sensors) to realize the real-time measurement function of the fan cabin displacement S.
S2: according to the standard of fan grade classification in IEC 61400-1-2019, setting the turbulence intensity reference value to be 0.1-0.2 (the range can be adjusted according to actual conditions), setting the interval to be 0.02 (the range can be adjusted according to actual conditions), fixing other unit parameters, performing simulation analysis by using wind turbine load software, and calculating the cabin displacement maximum value distribution condition (other working conditions can be added) of the limit working conditions in consideration of the fact that the possibility that the cabin displacement in the limit working conditions exceeds the limit is high.
Table 1 shows turbulence intensity values corresponding to respective wind speeds under different turbulence intensity reference values, and in order to make the distribution range of the turbulence intensity values in table 1 larger, an Extreme Turbulence Model (ETM) is selected for turbulence calculation (other turbulence models may be used), and the longitudinal standard deviation σ of each wind speed at the hub height in the extreme turbulence model is calculated1Is determined by the following formula:
wherein, VvaeRepresents the annual average wind speed at hub height; vhubRepresenting the wind speed at the hub height; i isrefRepresenting a reference value of turbulence intensity, the turbulence intensity at this wind speed being σ1/Vhub。
The maximum value (absolute maximum) distribution of the nacelle displacement of each wind speed under different turbulence intensity reference values is counted, and the forward and backward displacement of the nacelle is taken as an example, which is specifically shown in table 2.
TABLE 1 turbulence intensity values corresponding to each wind speed under different turbulence intensity reference values
TABLE 2 maximum value of nacelle displacement (unit m) for each wind speed under different turbulence intensity reference values
S3: the maximum value of the cabin displacement when the specified wind speed is less than 7.9m/s is searched numerically according to the corresponding row of 7.9m/s in the table 2, and the maximum value of the cabin displacement when the specified wind speed is more than 20m/s is searched numerically according to the corresponding row of 20m/s in the table 2.
S4: obtaining real-time turbulence intensity I from current wind speed signal of unit, wherein sigma10minA wind speed standard deviation (m/s) of 10 min; v10minIs the average wind speed (m/s) of 10 min.
S5: the current wind speed and the real-time turbulence intensity value are used for carrying out numerical value search on the table 1 and the table 2 (the intermediate value can be obtained by interpolation processing), and the corresponding maximum value S of the cabin displacement can be obtainedmaxSetting a cabin displacement alarm threshold S1 as Smax+λ1Shutdown threshold S2 ═ Smax+λ2(ii) a Wherein λ1And λ2Is the alarm threshold and shutdown threshold adjustment factor, lambda2≥λ1≥0。
S6: setting alarm time T, alarm frequency upper limit N1 and stop frequency upper limit N2.
S7: and judging whether the cabin displacement reaches a shutdown threshold value S2, and if S is larger than or equal to S2 for the first time, executing a variable pitch optimization action by the unit.
S8: setting a variable pitch optimization logic, which comprises the following specific steps:
(a) firstly, defining the displacement direction of the engine room, and setting the downwind direction as positive and the reverse direction as negative, as shown in fig. 2;
(b) when the nacelle deviates forwards and positive displacement occurs, it is shown that the stress of the corresponding impeller is large at this time, the pitch angle needs to be increased, the thrust increase of the impeller is reduced, and the tower is prevented from continuously bending backwards;
(c) when the nacelle deflects backwards and negative displacement occurs, the stress of the corresponding impeller is small, and the variable pitch angle needs to be reduced, so that the thrust of the impeller is increased, and the tower is prevented from continuously inclining forwards;
(d) and a wind speed-pitch angle adjustment relation table is established according to experience (the specific numerical value can be modified), when the unit executes variable pitch optimization, the pitch angle is adjusted according to the positive and negative of the displacement of the engine room and the wind speed, namely, a variable pitch adjustment value is added or subtracted on the existing variable pitch angle, and the variable pitch adjustment value can be obtained according to the wind speed table 3.
The wind speed-pitch angle adjustment relationship of the above 5MW unit is shown in table 3.
TABLE 3 wind speed-Pitch Angle adjustment relationship Table
S9: judging whether the cabin displacement reaches a shutdown threshold S2, if S is not less than S2 for the first time, and if the number N of times that the cabin displacement reaches S2 in the time T is more than or equal to the upper limit N2 of the shutdown times, namely N is not less than N2, executing a variable-pitch shutdown action by the unit, wherein the variable-pitch optimized cabin displacement still exceeds the shutdown threshold, and executing the shutdown action to ensure the unit safety, otherwise, entering alarm logic judgment.
S10: counting the number N of times that the displacement of the unit reaches the alarm threshold S1 in the time T, if the displacement is more than or equal to the alarm upper limit N1, namely N is more than or equal to N1, executing an alarm action, and if N is less than N1, the unit normally operates.
Example two
The embodiment provides a wind turbine generator system cabin displacement monitoring optimization system based on turbulence intensity, includes:
the cabin displacement determining module is configured to obtain the maximum value of the current cabin displacement according to the current turbulence intensity of the unit;
the fan variable-pitch optimization module is configured to execute variable-pitch optimization action when the displacement value of the cabin is greater than or equal to the shutdown threshold value for the first time;
the fan variable-pitch shutdown module is configured to execute variable-pitch shutdown actions when the cabin displacement value is not larger than or equal to the shutdown threshold value for the first time and the number of times that the cabin displacement value is larger than or equal to the shutdown threshold value reaches the shutdown number upper limit within a specified time, or enter fan variable-pitch alarm module for judgment;
and the fan variable-pitch warning module is configured to execute a warning action if the number of times that the cabin displacement value is greater than or equal to the warning threshold value reaches the warning number upper limit within a specified time, or else, the fan operates normally.
It should be noted here that, the nacelle displacement determining module, the fan pitch optimizing module, and the fan pitch shutdown module are the same as the example and the application scenario realized by the steps corresponding to the method described in the first embodiment, but are not limited to the disclosure of the first embodiment. It should be noted that the modules described above as part of a system may be implemented in a computer system such as a set of computer-executable instructions.
In the foregoing embodiments, the descriptions of the embodiments have different emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
The proposed system can be implemented in other ways. For example, the above-described system embodiments are merely illustrative, and for example, the division of the above-described modules is merely a logical division, and in actual implementation, there may be other divisions, for example, multiple modules may be combined or integrated into another system, or some features may be omitted, or not executed.
EXAMPLE III
The present embodiment provides a non-transitory computer readable storage medium, on which computer instructions are stored, and when executed by a processor, the computer instructions implement the steps in the wind turbine nacelle displacement monitoring and optimizing method based on turbulence intensity as described in the first embodiment.
Example four
The embodiment provides an electronic device, including: a processor, a memory, and a computer program; wherein, a processor is connected with a memory, a computer program is stored in the memory, when the electronic device runs, the processor executes the computer program stored in the memory, so as to make the electronic device execute the steps of implementing the wind turbine nacelle displacement monitoring and optimizing method based on turbulence intensity as described in the first embodiment.
As will be appreciated by one skilled in the art, embodiments of the present disclosure may be provided as a method, system, or computer program product. Accordingly, the present disclosure may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the disclosure. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
Although the present disclosure has been described with reference to specific embodiments, it should be understood that the scope of the present disclosure is not limited thereto, and those skilled in the art will appreciate that various modifications and changes can be made without departing from the spirit and scope of the present disclosure.
Claims (10)
1. Wind turbine generator system cabin displacement monitoring optimization method based on turbulence intensity is characterized by comprising the following steps:
obtaining the maximum value of the current cabin displacement according to the current turbulence intensity of the unit;
when the displacement value of the engine room is larger than or equal to the shutdown threshold value for the first time, the fan executes a variable-pitch optimization action;
when the cabin displacement value is not larger than or equal to the shutdown threshold for the first time, and the times that the cabin displacement value is larger than or equal to the shutdown threshold in the specified time reaches the shutdown time upper limit, the fan executes the variable-pitch shutdown action, otherwise, the alarm logic judgment is carried out;
and when the number of times that the cabin displacement value is greater than or equal to the alarm threshold value reaches the alarm number upper limit in the specified time, executing an alarm action by the fan, otherwise, normally operating the fan.
2. The wind turbine generator nacelle displacement monitoring and optimizing method based on turbulence intensity as claimed in claim 1, wherein the obtaining of the current maximum value of nacelle displacement according to the current turbulence intensity of the wind turbine generator comprises:
simulating according to the fan grade standard to obtain the distribution condition of the maximum value of the displacement of the engine room of each wind speed under different turbulence intensity reference values;
acquiring the current turbulence intensity of the unit through the real-time wind speed of the unit;
and determining the corresponding maximum value of the cabin displacement according to the turbulence intensity of the current unit and the wind speed according to the distribution condition of the maximum value of the cabin displacement of each wind speed under different turbulence intensity reference values.
3. The wind turbine generator nacelle displacement monitoring and optimizing method based on turbulence intensity as claimed in claim 2, wherein the simulating according to the fan class standard to obtain the nacelle displacement maximum value distribution of each wind speed under different turbulence intensity reference values includes:
setting upper and lower limits of a turbulence intensity reference value and a turbulence intensity simulation interval according to a fan grade classification standard;
fixing other unit parameters, and carrying out simulation analysis;
obtaining turbulence intensity values corresponding to all wind speeds under different turbulence intensity reference values;
and counting the distribution condition of the maximum value of the displacement of the engine room of each wind speed under different turbulence intensity reference values according to the turbulence intensity value corresponding to each wind speed under different turbulence intensity reference values.
4. The wind turbine generator nacelle displacement monitoring and optimizing method based on turbulence intensity as claimed in claim 2, characterized in that a nacelle displacement alarm threshold, a shutdown threshold, an alarm time, an upper alarm number limit and an upper shutdown number limit are set on the basis of the current maximum value of nacelle displacement.
5. The wind turbine generator system cabin displacement monitoring and optimizing method based on turbulence intensity as recited in claim 1, wherein when the wind turbine performs pitch optimization, the pitch angle is adjusted by judging the direction of cabin displacement and the current wind speed, so as to perform different pitch optimization actions.
6. The wind turbine generator nacelle displacement monitoring and optimizing method based on turbulence intensity as claimed in claim 5, wherein the adjusting of the pitch angle by judging the direction of nacelle displacement and the current wind speed comprises:
(a) defining the displacement direction of the engine room, and setting the downwind direction as positive and the reverse direction as negative;
(b) when the nacelle deviates forwards and positive displacement occurs, it is shown that the stress of the corresponding impeller is large at this time, the pitch angle needs to be increased, the thrust increase of the impeller is reduced, and the tower is prevented from continuously bending backwards;
(c) when the nacelle deflects backwards and negative displacement occurs, the stress of the corresponding impeller is small, and the variable pitch angle needs to be reduced, so that the thrust of the impeller is increased, and the tower is prevented from continuously inclining forwards;
(d) when the unit executes the variable pitch optimization, the pitch angle is adjusted according to the positive and negative of the displacement of the engine room and the wind speed, namely, a variable pitch adjustment value is added or subtracted on the existing variable pitch angle.
7. The wind turbine nacelle displacement monitoring and optimization method based on turbulence intensity as claimed in claim 6, wherein the pitch adjustment value is determined according to a relationship between different wind speeds and different pitch angles.
8. Wind turbine generator system cabin displacement monitoring optimization system based on turbulence intensity, its characterized in that includes:
the cabin displacement determining module is configured to obtain the maximum value of the current cabin displacement according to the current turbulence intensity of the unit;
the fan variable-pitch optimization module is configured to execute variable-pitch optimization action when the displacement value of the cabin is greater than or equal to the shutdown threshold value for the first time;
the fan variable-pitch shutdown module is configured to execute variable-pitch shutdown actions when the cabin displacement value is not larger than or equal to the shutdown threshold value for the first time and the number of times that the cabin displacement value is larger than or equal to the shutdown threshold value reaches the shutdown number upper limit within a specified time, or enter fan variable-pitch alarm module for judgment;
and the fan variable-pitch warning module is configured to execute a warning action if the number of times that the cabin displacement value is greater than or equal to the warning threshold value reaches the warning number upper limit within a specified time, or else, the fan operates normally.
9. A non-transitory computer readable storage medium having stored thereon computer instructions which, when executed by a processor, implement the steps in the turbulence intensity based wind turbine nacelle displacement monitoring optimization method of any one of claims 1-7.
10. An electronic device, comprising: a processor, a memory, and a computer program; wherein a processor is connected with a memory, a computer program is stored in the memory, and when the electronic device runs, the processor executes the computer program stored in the memory to make the electronic device execute the steps of implementing the wind turbine nacelle displacement monitoring and optimizing method based on turbulence intensity according to any one of claims 1-7.
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