CN114412705B - Wind turbine generator cabin displacement monitoring and optimizing method and system based on turbulence intensity - Google Patents
Wind turbine generator cabin displacement monitoring and optimizing method and system based on turbulence intensity Download PDFInfo
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- CN114412705B CN114412705B CN202210038865.1A CN202210038865A CN114412705B CN 114412705 B CN114412705 B CN 114412705B CN 202210038865 A CN202210038865 A CN 202210038865A CN 114412705 B CN114412705 B CN 114412705B
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- 238000006073 displacement reaction Methods 0.000 title claims abstract description 124
- 238000000034 method Methods 0.000 title claims abstract description 34
- 238000012544 monitoring process Methods 0.000 title claims abstract description 29
- 238000005457 optimization Methods 0.000 claims abstract description 37
- 238000004590 computer program Methods 0.000 claims description 17
- 238000009826 distribution Methods 0.000 claims description 9
- 238000003860 storage Methods 0.000 claims description 9
- 238000004088 simulation Methods 0.000 claims description 6
- 238000004458 analytical method Methods 0.000 claims description 3
- 238000004422 calculation algorithm Methods 0.000 abstract description 2
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Classifications
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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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- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Fluid Mechanics (AREA)
- Wind Motors (AREA)
Abstract
The disclosure provides a wind turbine generator cabin displacement monitoring and optimizing method and system based on turbulence intensity, comprising the following steps: acquiring the current cabin displacement maximum value according to the current turbulence intensity of the unit; when the nacelle displacement value is larger than or equal to the shutdown threshold value for the first time, the fan executes the pitch-variable optimization action; when the nacelle displacement value is not equal to or larger than the shutdown threshold value for the first time, and the number of times that the nacelle displacement value is equal to or larger than the shutdown threshold value in the set time reaches the upper limit of the shutdown times, the fan executes the variable pitch shutdown action, otherwise, the fan enters an alarm logic judgment; and when the number of times that the cabin displacement value is larger than or equal to the alarm threshold value in the set time reaches the upper limit of the alarm times, the fan executes the alarm action, otherwise, the fan operates normally. According to the method and the device, the turbulence intensity is obtained according to the real-time wind speed, the maximum value of the cabin displacement under the current wind condition is obtained, and then a monitoring optimization 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 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 strong development of renewable energy sources, the power level of the wind turbine generator is gradually increased, the length of the corresponding blade, the height of the tower and the flexibility of the tower are also continuously increased, and the corresponding tower top load is also increased, and as the engine room is positioned above the tower, the engine room vibration is the position with the largest vibration amplitude of the whole fan, the engine room vibration directly causes the overrun of the engine room displacement, and the monitoring and optimization of the engine room displacement become particularly important for ensuring the safe operation of the fan.
Because the wind generating set is in the severe environment condition, the cabin displacement can not be observed in real time, in addition, the machine set can vibrate due to the actions such as extreme wind condition, yaw, braking and the like, when the cabin displacement exceeds a certain limit value, the machine set can carry out alarming and stopping actions, if serious, even the machine set is damaged directly due to the risk of tower falling, and serious economic loss is caused. Wind is the most direct factor affecting the aerodynamic characteristics and 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 classifying the safety level of the fan, and excessive turbulence intensity can cause the overrun of the vibration amplitude of the engine room and increase the load, thereby affecting the safety of the unit.
Disclosure of Invention
In order to solve the above problems, the disclosure provides a wind turbine generator cabin displacement monitoring optimization method and system based on turbulence intensity, and the disclosure aims to adopt an installation cabin displacement sensor (or other sensors) to monitor cabin displacement in real time, obtain the relationship between wind speed, turbulence intensity and cabin displacement maximum value (for convenience of description, the cabin displacement maximum value is absolute maximum value) mainly through wind turbine generator load software simulation, obtain turbulence intensity according to real-time wind speed so as to obtain the cabin displacement maximum value under the current wind condition, and develop a monitoring optimization algorithm according to the cabin displacement maximum value, thereby optimizing vibration problem and improving the generating capacity of the generator set.
According to some embodiments, a first scheme of the disclosure provides a wind turbine generator cabin displacement monitoring optimization method based on turbulence intensity, which adopts the following technical scheme:
a wind turbine generator system cabin displacement monitoring and optimizing method based on turbulence intensity comprises the following steps:
acquiring the current cabin displacement maximum value according to the current turbulence intensity of the unit;
When the nacelle displacement value is larger than or equal to the shutdown threshold value for the first time, the fan executes the pitch-variable optimization action;
When the nacelle displacement value is not equal to or larger than the shutdown threshold value for the first time, and the number of times that the nacelle displacement value is equal to or larger than the shutdown threshold value in the set time reaches the upper limit of the shutdown times, the fan executes the variable pitch shutdown action, otherwise, the fan enters an alarm logic judgment;
and when the number of times that the cabin displacement value is larger than or equal to the alarm threshold value in the set time reaches the upper limit of the alarm times, the fan executes the alarm action, otherwise, the fan operates normally.
According to some embodiments, a second aspect of the present disclosure provides a wind turbine nacelle displacement monitoring optimization system based on turbulence intensity, which adopts the following technical scheme:
wind turbine generator system cabin displacement monitoring and optimizing system based on turbulence intensity, comprising:
the cabin displacement determining module is configured to acquire a current cabin displacement maximum value according to the current turbulence intensity of the unit;
The fan variable pitch optimization module is configured to execute variable pitch optimization actions when the nacelle displacement value is larger than or equal to the shutdown threshold value for the first time;
The fan variable pitch stopping module is configured to execute variable pitch stopping action when the nacelle displacement value is not equal to or greater than a stopping threshold value for the first time and the number of times that the nacelle displacement value is equal to or greater than the stopping threshold value within a specified time reaches the upper limit of stopping times, or else, the fan variable pitch stopping action is judged by the fan variable pitch warning module;
The fan variable pitch warning module is configured to execute warning actions when the number of times that the cabin displacement value is larger than or equal to the warning threshold reaches the upper limit of the warning times within the specified time, and otherwise, the fan normally operates.
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 turbulence intensity based wind turbine nacelle displacement monitoring optimization method 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 the processor is connected to the memory, and the computer program is stored in the memory, and when the electronic device is running, the processor executes the computer program stored in the memory, so that the electronic device executes the steps in implementing a wind turbine nacelle displacement monitoring optimization method based on turbulence intensity according to the first aspect.
Compared with the prior art, the beneficial effects of the present disclosure are:
1. according to the method, the maximum cabin displacement under the current wind condition is adopted, so that the alarm threshold value and the shutdown threshold value are set, the action of the unit is accurately controlled, the unnecessary shutdown time of the unit is reduced, and the generating capacity loss is reduced;
2. The control optimization method is simple and easy to realize, and can improve the reliability of the unit;
3. the method disclosed by the disclosure can effectively alleviate the vibration problem of the unit and reduce the running load of the unit by controlling and optimizing the method.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure, illustrate and explain the exemplary embodiments of the disclosure and together with the description serve to explain the disclosure, and do not constitute an undue limitation on the disclosure.
FIG. 1 is a flowchart of a method for optimizing nacelle displacement monitoring of a wind turbine based on turbulence intensity according to an embodiment of the disclosure;
FIG. 2 is a schematic view of a nacelle displacement direction in a turbulence intensity-based wind turbine nacelle displacement monitoring optimization method according to an embodiment of the disclosure.
Detailed Description
The disclosure is further described below with reference to the drawings and examples.
It should be noted that the following detailed description is illustrative and is intended to provide further explanation of the present 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 exemplary embodiments in accordance with the present disclosure. As used herein, the singular is also intended to include the plural unless the context clearly indicates otherwise, and furthermore, it is to be understood that the terms "comprises" and/or "comprising" when used in this specification are taken to specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof.
Embodiments of the present disclosure and features of embodiments may be combined with each other without conflict.
Example 1
The embodiment provides a wind turbine generator cabin displacement monitoring and optimizing method based on turbulence intensity, which comprises the following steps:
acquiring the current cabin displacement maximum value according to the current turbulence intensity of the unit;
When the nacelle displacement value is larger than or equal to the shutdown threshold value for the first time, the fan executes the pitch-variable optimization action;
When the nacelle displacement value is not equal to or larger than the shutdown threshold value for the first time, and the number of times that the nacelle displacement value is equal to or larger than the shutdown threshold value in the set time reaches the upper limit of the shutdown times, the fan executes the variable pitch shutdown action, otherwise, the fan enters an alarm logic judgment;
and when the number of times that the cabin displacement value is larger than or equal to the alarm threshold value in the set time reaches the upper limit of the alarm times, the fan executes the alarm action, otherwise, the fan operates normally.
Specifically, a unit provided with a cabin displacement sensor (or other sensors) is selected, so that the real-time monitoring function of the cabin displacement of the wind turbine is realized;
According to the standard of fan class classification in IEC 61400-1-2019, setting the upper limit and the lower limit of a turbulence intensity reference value (namely, a turbulence intensity reference value corresponding to the average wind speed of 15 m/s) and a turbulence intensity simulation interval, fixing other unit parameters, carrying out simulation analysis, and counting the maximum distribution condition of cabin displacement 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 carrying out numerical lookup on the distribution condition of the maximum values of the cabin displacement of each wind speed under different turbulence intensity reference values by combining the real-time wind speed to obtain the maximum value of the cabin displacement under the current wind condition (the intermediate value can be acquired through interpolation processing);
setting a cabin displacement warning threshold value and a shutdown threshold value on the basis of the current cabin displacement maximum value; alarm time, upper limit of alarm times and upper limit of shutdown times;
When the nacelle displacement value is larger than or equal to the shutdown threshold value for the first time, the fan executes the pitch-variable optimization action;
when the fan performs pitch optimization, the pitch angle is adjusted by judging the displacement direction of the engine room and the current wind speed, so that different pitch optimization actions are executed;
When the nacelle displacement value is not equal to or larger than the shutdown threshold value for the first time, and the number of times that the nacelle displacement value is equal to or larger than the shutdown threshold value in the set time reaches the upper limit of the shutdown times, the fan executes the variable pitch shutdown action, otherwise, the fan enters an alarm logic judgment;
and when the number of times that the cabin displacement value is larger than or equal to the alarm threshold value in the set time reaches the upper limit of the alarm times, the fan executes the alarm action, otherwise, the fan operates normally.
The disclosure is further described below with reference to the drawings and specific examples of the specification.
In this embodiment, as shown in fig. 1, a certain 5MW wind turbine generator is taken as an example for explanation, the wind wheel diameter of the 5MW wind turbine generator is 171m, the tower height is 110m, the cut-in wind speed is 3m/s, the cut-out wind speed is 22m/s, the rated wind speed is 9.9m/s, and the annual average wind speed is 7.3m/s, and the method mainly comprises the following steps:
S1: and selecting a unit provided with a cabin displacement sensor (or other sensors) to realize the function of measuring the cabin displacement S of the fan in real time.
S2: according to the standard of fan class classification in IEC 61400-1-2019, the turbulence intensity reference value is set to be 0.1 to 0.2 (the range can be adjusted according to actual conditions), the interval is 0.02 (the range can be adjusted according to actual conditions), other unit parameters are fixed, simulation analysis is carried out by using wind turbine unit load software, and the maximum value distribution condition of the cabin displacement in the limit working condition (other working conditions can be added) is calculated in consideration of the fact that the possibility of overrun of the cabin displacement in the limit working condition is high.
Table 1 is a turbulence intensity value corresponding to each wind speed under different turbulence intensity reference values, in order to make the turbulence intensity value distribution range in table 1 larger, a limit turbulence model (ETM) is selected for turbulence calculation (other turbulence models may be selected), and a longitudinal standard deviation σ 1 of each wind speed at the hub height in the limit turbulence model is determined by the following formula:
Wherein V vae represents the annual average wind speed at hub height; v hub represents the wind speed at hub height; i ref represents a turbulence intensity reference value, and the turbulence intensity at this wind speed is σ 1/Vhub.
The maximum (absolute maximum) distribution of nacelle displacements for each wind speed at different turbulence intensity references is counted, taking nacelle forward and backward displacements as an example, as shown in table 2.
TABLE 1 turbulence intensity values for each wind speed at different turbulence intensity reference values
TABLE 2 maximum nacelle Displacement values (in m) for each wind speed at different turbulence intensity references
S3: the maximum value of the cabin displacement at the specified wind speed less than 7.9m/s is searched according to the corresponding running line number of 7.9m/s in the table 2, and the maximum value of the cabin displacement at the wind speed greater than 20m/s is searched according to the corresponding running line number of 20m/s in the table 2.
S4: calculating real-time turbulence intensity I according to a current wind speed signal of the unit, wherein sigma 10min is a wind speed standard deviation (m/s) of 10 min; v 10min is the average wind speed (m/s) of 10 min.
S5: the current wind speed and the real-time turbulence intensity value are used for checking the values of the table 1 and the table 2 (the intermediate value can be obtained through interpolation processing), a corresponding cabin displacement maximum value S max can be obtained, a cabin displacement warning threshold value S1=S max+λ1 is set, and a shutdown threshold value S2=S max+λ2; wherein lambda 1 and lambda 2 are alarm threshold and shutdown threshold adjustment coefficients, and lambda 2≥λ1 is more than or equal to 0.
S6: setting an alarm time T and an alarm times upper limit N1 and a shutdown times upper limit N2.
S7: and judging whether the cabin displacement reaches a shutdown threshold S2, and if the cabin displacement is larger than or equal to S2 for the first time, executing the variable pitch optimization action by the unit.
S8: the pitch optimization logic is set, and the specific steps are as follows:
(a) Firstly, defining the displacement direction of the engine room, and defining the forward direction as positive and the reverse direction as negative, as shown in fig. 2;
(b) When the cabin is shifted forwards and positive displacement occurs, the fact that the corresponding impeller is stressed greatly at the moment is indicated, the pitch angle needs to be increased, the thrust increase of the impeller is reduced, and the tower is prevented from continuing to lean backwards;
(c) When the cabin is offset backwards and negative displacement occurs, the corresponding impeller is smaller in stress, the pitch angle needs to be reduced, so that the thrust of the impeller is increased, and the tower is prevented from continuously tilting forwards;
(d) And (3) a wind speed-pitch angle adjustment relation table (specific numerical value can be modified) is established according to experience, when the unit executes pitch optimization, the pitch angle is adjusted according to the positive and negative of the cabin displacement and the wind speed, namely, a pitch adjustment value is added or subtracted from the existing pitch angle, and the pitch adjustment value can be obtained according to the wind speed table 3.
For the 5MW unit, the wind speed-pitch angle adjustment relationship 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 or not, if S is more than or equal to S2 for the first time, and the number of times N of the cabin displacement reaching S2 is more than or equal to the upper limit N2 of shutdown times in time T, namely, N is more than or equal to N2, executing a variable pitch shutdown action by the machine set, indicating that the cabin displacement still exceeds the shutdown threshold after the variable pitch optimization, and if not, entering alarm logic judgment for ensuring the safety of the machine set.
S10: counting the number of times N that the cabin displacement reaches the alarm threshold S1 in the time T, if the number of times N is larger than or equal to the upper limit N1 of the alarm number of times, namely, N is larger than or equal to N1, executing alarm action, and if N is smaller than N1, normally operating the machine set.
Example two
The embodiment provides a wind turbine generator system cabin displacement monitoring optimizing system based on turbulent intensity, which comprises:
the cabin displacement determining module is configured to acquire a current cabin displacement maximum value according to the current turbulence intensity of the unit;
The fan variable pitch optimization module is configured to execute variable pitch optimization actions when the nacelle displacement value is larger than or equal to the shutdown threshold value for the first time;
The fan variable pitch stopping module is configured to execute variable pitch stopping action when the nacelle displacement value is not equal to or greater than a stopping threshold value for the first time and the number of times that the nacelle displacement value is equal to or greater than the stopping threshold value within a specified time reaches the upper limit of stopping times, or else, the fan variable pitch stopping action is judged by the fan variable pitch warning module;
The fan variable pitch warning module is configured to execute warning actions when the number of times that the cabin displacement value is larger than or equal to the warning threshold reaches the upper limit of the warning times within the specified time, and otherwise, the fan normally operates.
It should be noted that, the nacelle displacement determining module, the fan pitch optimizing module, and the fan pitch stopping module are the same as the examples and application scenarios implemented by the steps corresponding to the method described in the first embodiment, but are not limited to the disclosure in the first embodiment. It should be noted that the modules described above may be implemented as part of a system in a computer system, such as a set of computer-executable instructions.
The foregoing embodiments are directed to various embodiments, and details of one embodiment may be found in the related description of another embodiment.
The proposed system may be implemented in other ways. For example, the system embodiments described above are merely illustrative, such as the division of the modules described above, are merely a logical function division, and may be implemented in other manners, such as multiple modules may be combined or integrated into another system, or some features may be omitted, or not performed.
Example III
The present embodiment provides a non-transitory computer readable storage medium having stored thereon computer instructions that, when executed by a processor, implement the steps in a wind turbine nacelle displacement monitoring optimization method based on turbulence intensity as described in the above embodiment one.
Example IV
The present embodiment provides an electronic device, including: a processor, a memory, and a computer program; wherein the processor is connected to the memory, and the computer program is stored in the memory, and when the electronic device is running, the processor executes the computer program stored in the memory, so that the electronic device executes the steps in implementing the wind turbine nacelle displacement monitoring optimization method based on turbulence intensity according to the first embodiment.
It will be apparent to those skilled in the art that 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, magnetic 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 flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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.
Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored on a computer readable storage medium, which when executed may comprise the steps 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 (Random Access Memory, RAM), or the like.
While the specific embodiments of the present disclosure have been described above with reference to the drawings, it should be understood that the present disclosure is not limited to the embodiments, and that various modifications and changes can be made by one skilled in the art without inventive effort on the basis of the technical solutions of the present disclosure while remaining within the scope of the present disclosure.
Claims (8)
1. The wind turbine generator system cabin displacement monitoring and optimizing method based on turbulence intensity is characterized by comprising the following steps of:
According to the current turbulence intensity of the machine set, obtaining the current cabin displacement maximum value comprises the following steps:
simulating according to a fan grade standard to obtain the distribution condition of the maximum cabin displacement 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;
according to the distribution condition of the maximum cabin displacement values of each wind speed under different turbulence intensity reference values, determining the corresponding maximum cabin displacement value according to the turbulence intensity and the wind speed of the current unit;
When the nacelle displacement value is larger than or equal to the shutdown threshold value for the first time, the fan executes the pitch-variable optimization action;
When the nacelle displacement value is not equal to or larger than the shutdown threshold value for the first time, and the number of times that the nacelle displacement value is equal to or larger than the shutdown threshold value in the set time reaches the upper limit of the shutdown times, the fan executes the variable pitch shutdown action, otherwise, the fan enters an alarm logic judgment;
The number of times that the cabin displacement value is larger than or equal to the alarm threshold value in the set time reaches the upper limit of the alarm times, the fan executes the alarm action, otherwise, the fan operates normally;
according to fan grade standard, simulation is carried out, and the distribution condition of the maximum value of cabin displacement of each wind speed under different turbulence intensity reference values is obtained, specifically:
Setting upper and lower limits of turbulence intensity reference values and turbulence intensity simulation intervals according to fan class classification standards;
fixing other unit parameters, and performing simulation analysis;
Obtaining turbulence intensity values corresponding to wind speeds under different turbulence intensity reference values;
and counting the maximum distribution condition of the cabin displacement of each wind speed under different turbulence intensity reference values according to the turbulence intensity values corresponding to each wind speed under different turbulence intensity reference values.
2. The turbulence intensity-based wind turbine generator system cabin displacement monitoring and optimizing method according to claim 1, wherein a cabin displacement warning threshold value, a shutdown threshold value, a warning time, a warning frequency upper limit and a shutdown frequency upper limit are set on the basis of a current cabin displacement maximum value.
3. The turbulence intensity-based wind turbine generator system cabin displacement monitoring optimization method according to claim 1, wherein when the fan performs pitch optimization, the pitch angle is adjusted by judging the direction of cabin displacement and the current wind speed, so that different pitch optimization actions are performed.
4. A turbulence intensity-based wind turbine nacelle displacement monitoring and optimizing method as recited in claim 3, wherein the adjusting of the pitch angle by determining the direction of nacelle displacement and the current wind speed comprises:
(a) Defining the displacement direction of the cabin, and defining the forward direction as positive and the reverse direction as negative;
(b) When the cabin is shifted forwards and positive displacement occurs, the fact that the corresponding impeller is stressed greatly at the moment is indicated, the pitch angle needs to be increased, the thrust increase of the impeller is reduced, and the tower is prevented from continuing to lean backwards;
(c) When the cabin is offset backwards and negative displacement occurs, the corresponding impeller is smaller in stress, the pitch angle needs to be reduced, so that the thrust of the impeller is increased, and the tower is prevented from continuously tilting forwards;
(d) When the unit executes pitch optimization, the pitch angle is adjusted according to the positive and negative of the cabin displacement and the wind speed, namely, a pitch adjustment value is added or subtracted on the existing pitch angle.
5. A turbulence intensity-based wind turbine nacelle displacement monitoring optimization method according to claim 4 wherein the pitch adjustment value is determined based on a relationship between different wind speeds and different pitch angles.
6. System for using a turbulence intensity based wind turbine nacelle displacement monitoring optimization method according to any of claims 1-5, comprising:
the cabin displacement determining module is configured to acquire a current cabin displacement maximum value according to the current turbulence intensity of the unit;
The fan variable pitch optimization module is configured to execute variable pitch optimization actions when the nacelle displacement value is larger than or equal to the shutdown threshold value for the first time;
The fan variable pitch stopping module is configured to execute variable pitch stopping action when the nacelle displacement value is not equal to or greater than a stopping threshold value for the first time and the number of times that the nacelle displacement value is equal to or greater than the stopping threshold value within a specified time reaches the upper limit of stopping times, or else, the fan variable pitch stopping action is judged by the fan variable pitch warning module;
The fan variable pitch warning module is configured to execute warning actions when the number of times that the cabin displacement value is larger than or equal to the warning threshold reaches the upper limit of the warning times within the specified time, and otherwise, the fan normally operates.
7. 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 of claims 1-5.
8. An electronic device, comprising: a processor, a memory, and a computer program; wherein the processor is connected to the memory, and wherein the computer program is stored in the memory, which processor, when the electronic device is running, executes the computer program stored in the memory to cause the electronic device to perform the steps of implementing the turbulence intensity based wind turbine nacelle displacement monitoring optimization method according to any of claims 1-5.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210038865.1A CN114412705B (en) | 2022-01-13 | 2022-01-13 | Wind turbine generator cabin displacement monitoring and optimizing method and system based on turbulence intensity |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101892951A (en) * | 2009-05-18 | 2010-11-24 | 维斯塔斯风力系统集团公司 | Wind turbine control method |
| CN110748461A (en) * | 2019-10-21 | 2020-02-04 | 明阳智慧能源集团股份公司 | Cabin displacement monitoring method of wind generating set |
| CN211230714U (en) * | 2019-10-21 | 2020-08-11 | 明阳智慧能源集团股份公司 | Engine room displacement monitoring device of wind generating set |
| CN111608858A (en) * | 2020-05-29 | 2020-09-01 | 上海电气风电集团股份有限公司 | Method and device for adjusting output power of wind generating set, computer readable storage medium and wind power generation system |
| CN113464379A (en) * | 2021-07-19 | 2021-10-01 | 陕西中科启航科技有限公司 | Floating type offshore wind turbine generator set operation state monitoring method |
| WO2021195889A1 (en) * | 2020-03-30 | 2021-10-07 | 华为技术有限公司 | Control method and device related to confidence level of positioning |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DK179018B1 (en) * | 2016-03-14 | 2017-08-21 | Ventus Eng Gmbh | Method of condition monitoring one or more wind turbines and parts thereof and performing instant alarm when needed |
-
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- 2022-01-13 CN CN202210038865.1A patent/CN114412705B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101892951A (en) * | 2009-05-18 | 2010-11-24 | 维斯塔斯风力系统集团公司 | Wind turbine control method |
| CN110748461A (en) * | 2019-10-21 | 2020-02-04 | 明阳智慧能源集团股份公司 | Cabin displacement monitoring method of wind generating set |
| CN211230714U (en) * | 2019-10-21 | 2020-08-11 | 明阳智慧能源集团股份公司 | Engine room displacement monitoring device of wind generating set |
| WO2021195889A1 (en) * | 2020-03-30 | 2021-10-07 | 华为技术有限公司 | Control method and device related to confidence level of positioning |
| CN111608858A (en) * | 2020-05-29 | 2020-09-01 | 上海电气风电集团股份有限公司 | Method and device for adjusting output power of wind generating set, computer readable storage medium and wind power generation system |
| CN113464379A (en) * | 2021-07-19 | 2021-10-01 | 陕西中科启航科技有限公司 | Floating type offshore wind turbine generator set operation state monitoring method |
Non-Patent Citations (1)
| Title |
|---|
| 风电机组荷载计算的外部风速条件模拟研究;陈雷;邢作霞;隋红霞;谢赐戬;可再生能源;20080215(第01期);17-20 * |
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