A wind turbine optimization control method and system based on cabin vibration acceleration
By using an optimized control method based on nacelle vibration acceleration, and by setting thresholds using historical data and judging real-time wind speed, the problem of frequent shutdowns or long-term operation of wind turbines has been solved, enabling fault early warning and reliability improvement, and extending the service life of wind turbines.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CRRC WIND POWER(SHANDONG) CO LTD
- Filing Date
- 2023-09-22
- Publication Date
- 2026-05-05
AI Technical Summary
The existing nacelle vibration acceleration threshold setting for wind turbine units is too simplistic, leading to frequent unit shutdowns or prolonged operation in harsh environments, which affects reliability and lifespan.
By acquiring historical operating data of wind turbine units, calculating the vibration acceleration distribution under normal and abnormal conditions, setting shutdown and alarm thresholds and cumulative time, and combining real-time wind speed to determine whether to perform shutdown or load reduction actions, fault early warning and optimized control can be achieved.
Reduce unnecessary unit downtime, decrease power generation loss, improve unit reliability, and extend the service life of wind turbine units.
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Figure CN117287345B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of wind turbine control, specifically to an optimized control method and system for wind turbines based on nacelle vibration acceleration. Background Technology
[0002] During the operation of a wind turbine, the blades convert wind energy into mechanical energy. This process causes vibration in the nacelle, resulting in corresponding vibration acceleration. Changes in this acceleration directly reflect the turbine's operating status. Typically, the nacelle vibration acceleration must remain below a set threshold during wind turbine operation. If the vibration acceleration exceeds this threshold, the turbine will initiate appropriate shutdown protection actions.
[0003] However, the current control method is relatively simple, and the threshold setting for nacelle vibration acceleration is generally based on experience. If the vibration acceleration threshold is set too low, the wind turbine may shut down frequently. If the vibration acceleration threshold is set too high, the wind turbine may run continuously in harsh environments, reducing the reliability of the wind turbine. Furthermore, if the wind turbine operates in an environment with large amplitude for a long time, it will greatly shorten the life of the wind turbine and affect the availability of the wind turbine. Summary of the Invention
[0004] To address the aforementioned issues, this invention provides a wind turbine optimization control method, system, terminal, and storage medium based on nacelle vibration acceleration. This enables fault early warning for wind turbines, thereby reducing unnecessary downtime, minimizing power generation losses, and improving operational reliability. Furthermore, when the vibration acceleration exceeds the shutdown vibration acceleration threshold and persists for a certain period, the wind turbine initiates a shutdown action, preventing prolonged operation in harsh environments and extending the turbine's service life.
[0005] In a first aspect, the technical solution of the present invention provides a wind turbine optimization control method based on nacelle vibration acceleration, comprising the following steps:
[0006] Acquire the first historical operating data and the second historical operating data of the wind turbine, wherein the first historical operating data includes several vibration acceleration values under abnormal operating conditions of the wind turbine, and the second historical operating data includes several vibration acceleration values under normal operating conditions of the wind turbine.
[0007] Set the shutdown vibration acceleration threshold based on the first historical operating data, and configure the shutdown cumulative time;
[0008] Set the alarm vibration acceleration threshold based on the second historical operating data, and configure the alarm accumulation time and the load reduction wind speed threshold;
[0009] Detect the real-time wind speed and real-time vibration acceleration of the wind turbine operating environment;
[0010] Determine whether the real-time vibration acceleration of the wind turbine exceeds the shutdown vibration acceleration threshold and whether the duration exceeds the cumulative shutdown time.
[0011] If so, the wind turbine will shut down.
[0012] Otherwise, determine whether the real-time vibration acceleration of the wind turbine exceeds the alarm vibration acceleration threshold and the duration exceeds the alarm accumulation time, and whether the real-time wind speed exceeds the load reduction wind speed threshold.
[0013] If so, the wind turbine will perform a load reduction action and issue an alarm notification.
[0014] Otherwise, the wind turbine will operate normally.
[0015] In one optional implementation, a shutdown vibration acceleration threshold is set based on first historical operating data, specifically including:
[0016] Several vibration acceleration values in the first historical operational data follow a normal distribution;
[0017] Calculate the mean of this normal distribution. and standard deviation ;
[0018] Set the shutdown vibration acceleration threshold to: +3 .
[0019] In one optional implementation, an alarm vibration acceleration threshold is set based on second historical operating data, specifically including:
[0020] Some vibration acceleration values in the second historical operational data follow a normal distribution;
[0021] Calculate the mean of this normal distribution. and standard deviation ;
[0022] Set the alarm vibration acceleration threshold to +3 .
[0023] In one optional implementation, the wind turbine performs a load reduction action, specifically including:
[0024] Based on the current power value of the wind turbine and the generator speed value, the power setting value and the generator speed setting value are adjusted downward.
[0025] Secondly, the technical solution of the present invention provides a wind turbine optimization control system based on nacelle vibration acceleration, comprising,
[0026] Historical operation data acquisition module: acquires the first historical operation data and the second historical operation data of the wind turbine, wherein the first historical operation data includes several vibration acceleration values under abnormal operation conditions of the wind turbine, and the second historical operation data includes several vibration acceleration values under normal operation conditions of the wind turbine.
[0027] Shutdown acceleration configuration module: Sets the shutdown vibration acceleration threshold based on the first historical operating data, and configures the shutdown cumulative time;
[0028] Alarm acceleration configuration module: Sets the alarm vibration acceleration threshold based on the second historical operating data, and configures the alarm accumulation time and the load reduction wind speed threshold;
[0029] Real-time operation data detection module: detects the real-time wind speed and the real-time vibration acceleration of the wind turbine's operating environment;
[0030] Operation control module: Determines whether the real-time vibration acceleration of the wind turbine exceeds the shutdown vibration acceleration threshold and the duration exceeds the cumulative shutdown time; if so, the wind turbine performs a shutdown action; otherwise, it determines whether the real-time vibration acceleration of the wind turbine exceeds the alarm vibration acceleration threshold and the duration exceeds the cumulative alarm time, and whether the real-time wind speed exceeds the load reduction wind speed threshold; if so, the wind turbine performs a load reduction action and issues an alarm prompt; otherwise, the wind turbine operates normally.
[0031] In one optional implementation, a shutdown vibration acceleration threshold is set based on first historical operating data, specifically including:
[0032] Several vibration acceleration values in the first historical operational data follow a normal distribution;
[0033] Calculate the mean of this normal distribution. and standard deviation ;
[0034] Set the shutdown vibration acceleration threshold to: +3 .
[0035] In one optional implementation, an alarm vibration acceleration threshold is set based on second historical operating data, specifically including:
[0036] Some vibration acceleration values in the second historical operational data follow a normal distribution;
[0037] Calculate the mean of this normal distribution. and standard deviation ;
[0038] Set the alarm vibration acceleration threshold to +3 .
[0039] In one optional implementation, the wind turbine performs a load reduction action, specifically including:
[0040] Based on the current power value of the wind turbine and the generator speed value, the power setting value and the generator speed setting value are adjusted downward.
[0041] The present invention provides a wind turbine optimization control method and system based on nacelle vibration acceleration, which has the following advantages over the prior art: acquiring historical operating data, setting a vibration acceleration threshold based on the historical operating data, and then determining whether to reduce load based on the set threshold, wind speed, duration, etc., to realize the fault early warning function of the wind turbine, thereby reducing unnecessary shutdown of the unit, reducing power generation loss, and improving reliability. At the same time, when the vibration acceleration exceeds the shutdown vibration acceleration threshold and continues for a certain period of time, the wind turbine will perform a shutdown action, avoiding the wind turbine from operating in harsh environmental conditions for a long time and extending the service life of the wind turbine. Attached Figure Description
[0042] To more clearly illustrate the technical solutions of the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0043] Figure 1 This is a schematic flowchart of a wind turbine optimization control method based on nacelle vibration acceleration provided by an embodiment of the present invention.
[0044] Figure 2 This is a schematic block diagram of a wind turbine optimized control system based on nacelle vibration acceleration provided in an embodiment of the present invention. Detailed Implementation
[0045] To enable those skilled in the art to better understand the present invention, the invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. Obviously, the described embodiments are merely some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0046] Unless otherwise defined, 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 invention pertains. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.
[0047] This invention provides an optimized control method for wind turbines based on nacelle vibration acceleration to reduce unnecessary downtime and improve turbine lifespan. The technical concept involves calculating the statistical distribution of nacelle vibration acceleration under normal and abnormal operating conditions based on historical operating data. Based on the statistical distribution under abnormal conditions, a corresponding nacelle vibration acceleration threshold and cumulative downtime are set for shutdown. When the nacelle vibration acceleration exceeds the shutdown threshold and its duration exceeds the cumulative downtime, the turbine initiates a shutdown action. Based on the statistical distribution under normal operating conditions, an alarm-related nacelle vibration acceleration threshold, alarm cumulative time, and wind speed threshold for load reduction are set. When the wind speed (instantaneous or average) exceeds the threshold for load reduction, the nacelle vibration acceleration exceeds the alarm threshold and its duration exceeds the alarm cumulative time, triggering an alarm logic. When the turbine enters the normal alarm logic, it begins load reduction based on the current power and generator speed to mitigate vibration. When the alarm logic is not met, the turbine operates normally.
[0048] Figure 1 This is a schematic flowchart of a wind turbine optimization control method based on nacelle vibration acceleration provided by an embodiment of the present invention. Figure 1 The executing entity can be a wind turbine optimization control system based on nacelle vibration acceleration. The wind turbine optimization control method based on nacelle vibration acceleration provided in this embodiment of the invention is executed by computer equipment; correspondingly, the wind turbine optimization control system based on nacelle vibration acceleration runs within the computer equipment. Depending on different requirements, the order of steps in this flowchart can be changed, and some steps can be omitted.
[0049] In this embodiment, a 3300kW wind turbine is used as an example. The turbine has a rotor diameter of 165m, a tower height of 100m, a cut-in wind speed of 3m / s, a cut-out wind speed of 22m / s, and a rotational speed range of 1100rpm-1720rpm. Figure 1 As shown, this embodiment mainly includes the following steps:
[0050] S1, acquire the first and second historical operating data of the wind turbine.
[0051] The purpose of this step is to statistically analyze the distribution of engine room vibration acceleration under normal and abnormal conditions based on historical operating data.
[0052] The first historical operating data includes several vibration acceleration values under abnormal operating conditions of the wind turbine, while the second historical operating data includes several vibration acceleration values under normal operating conditions of the wind turbine.
[0053] Understandably, vibration acceleration detection sensors are installed on wind turbines. After the vibration acceleration detection sensors detect the acceleration value, they transmit it to the backend, which stores it in the database. Historical operating data is then extracted from the database for processing. Historical data for a year or longer can be statistically analyzed, and the data can be configured as needed.
[0054] It should be noted that the vibration acceleration collected in this embodiment can be the vibration acceleration in the forward and backward direction.
[0055] S2, set the shutdown vibration acceleration threshold H1 based on the first historical operating data, and configure the shutdown cumulative time T1.
[0056] In one optional implementation, the distribution statistics of the first historical operating data (e.g., vibration acceleration under abnormal conditions over a year) are performed. The results generally follow a normal distribution. The principle is to set the shutdown vibration acceleration threshold H1.
[0057] Specifically, the first historical data follows a normal distribution. Its mean is The standard deviation is Theoretically, the data distribution is concentrated in The probability of falling within the specified range is 99.73%, therefore data outside this range can be considered outliers.
[0058] Set the shutdown vibration acceleration threshold H1 as follows: +3 .
[0059] The cumulative downtime T1 can be set based on experience.
[0060] S3, set the alarm vibration acceleration threshold H2 based on the second historical operating data, and configure the alarm cumulative time T2 and the load reduction wind speed threshold V2.
[0061] In one optional implementation, the distribution statistics of the second historical operating data (e.g., vibration acceleration under abnormal conditions over a year) are performed. The results generally follow a normal distribution. The alarm vibration acceleration threshold H2 is set in principle.
[0062] Specifically, the second set of historical operational data follows a normal distribution. Its mean is The standard deviation is Theoretically, the data distribution is concentrated in The probability of falling within the specified range is 99.73%, therefore data outside this range can be considered outliers.
[0063] Set the alarm vibration acceleration threshold H2 to +3 .
[0064] It should be noted that the cabin vibration acceleration value of the unit under abnormal conditions is usually greater than that under normal operating conditions, that is, the shutdown vibration acceleration threshold is greater than the alarm vibration acceleration threshold.
[0065] The alarm cumulative time T2 and the load reduction wind speed threshold V2 can be set based on experience.
[0066] S4 detects the real-time wind speed and the real-time vibration acceleration of the wind turbine's operating environment.
[0067] It should be noted that wind speed sensors are installed in the wind turbine units. The wind speed sensors transmit the detected wind speed values to the back-end system. The back-end system controls the wind turbine units based on the data detected by the wind speed sensors and vibration acceleration sensors, as well as the configuration parameters.
[0068] S5, determine whether the real-time vibration acceleration of the wind turbine exceeds the shutdown vibration acceleration threshold H1 and the duration exceeds the cumulative shutdown time T1.
[0069] S6, if so, the wind turbine will shut down.
[0070] S7, otherwise, determine whether the real-time vibration acceleration of the wind turbine exceeds the alarm vibration acceleration threshold H2 and the duration exceeds the alarm cumulative time T2, and whether the real-time wind speed exceeds the load reduction wind speed threshold V2.
[0071] S8, if so, the wind turbine will perform a load reduction action and issue an alarm.
[0072] S9, otherwise, the wind turbine will operate normally.
[0073] If the vibration acceleration of a wind turbine increases to the point that it exceeds the shutdown vibration acceleration threshold, and the duration of exceeding the shutdown vibration acceleration threshold exceeds the overspeed accumulation time, then the wind turbine needs to be shut down in a timely manner to avoid malfunctions or even damage to the wind turbine.
[0074] If the vibration acceleration of the wind turbine increases and exceeds the alarm vibration acceleration threshold but does not exceed the shutdown vibration acceleration threshold, and if the time for which the vibration acceleration exceeds the alarm vibration acceleration threshold exceeds the alarm cumulative time, and the wind speed is high, and the real-time wind speed does not exceed the load reduction wind speed threshold, the wind turbine will issue an alarm and perform a load reduction action to prevent the vibration acceleration from continuing to increase.
[0075] In one alternative implementation, the wind turbine performing a load reduction action means adjusting the power setpoint and generator speed setpoint downwards based on the current power value and generator speed value.
[0076] After the load reduction function is activated, the unit will adjust the power setting value and generator speed setting value accordingly based on the current power value and generator speed value. For example, the generator speed setting value will be lowered to 1600 rpm (note that it should avoid the synchronous speed of the generator set; different models may require different adjustments).
[0077] Table 1 shows the percentage reduction for different power values, which is the reduction based on the original power value. 0.8, 0.75, and 0.7 are the reduction ratios for the current power setting of the corresponding unit. For example, if the current power setting is 2500kW, the power setting after the reduction is 2500kW × 0.8 (this ratio can be adjusted appropriately for different models).
[0078] Table 1. Percentage Reduction at Different Power Reference Values
[0079]
[0080] This embodiment acquires historical operating data, sets a vibration acceleration threshold based on the historical operating data, and then determines whether to reduce the load based on the set threshold, wind speed, duration, etc., to realize the fault early warning function of the wind turbine, thereby reducing unnecessary shutdown of the unit, reducing power generation loss, and improving reliability. At the same time, after the vibration acceleration exceeds the shutdown vibration acceleration threshold and continues for a certain period of time, the wind turbine will perform a shutdown action to avoid the wind turbine from operating in harsh environmental conditions for a long time and extend the service life of the wind turbine.
[0081] The above text provides a detailed description of an embodiment of a wind turbine optimization control method based on nacelle vibration acceleration. Based on the wind turbine optimization control method based on nacelle vibration acceleration described in the above embodiment, this invention also provides a wind turbine optimization control system based on nacelle vibration acceleration corresponding to the method.
[0082] Figure 2This is a schematic block diagram of a wind turbine optimization control system based on nacelle vibration acceleration provided in an embodiment of the present invention. The wind turbine optimization control system 200 based on nacelle vibration acceleration can be divided into multiple functional modules according to its functions, such as... Figure 2 As shown. The functional modules may include: a historical operation data acquisition module 210, a stop acceleration configuration module 220, an alarm acceleration configuration module 230, a real-time operation parameter detection module 240, and an operation control module 250. The module referred to in this invention is a series of computer program segments that can be executed by at least one processor and perform a fixed function, and which are stored in memory.
[0083] Historical operation data acquisition module 210: acquires the first historical operation data and the second historical operation data of the wind turbine, wherein the first historical operation data includes several vibration acceleration values under abnormal operation conditions of the wind turbine, and the second historical operation data includes several vibration acceleration values under normal operation conditions of the wind turbine.
[0084] Stop acceleration configuration module 220: Sets the stop vibration acceleration threshold based on the first historical operating data, and configures the stop cumulative time.
[0085] Alarm acceleration configuration module 230: Sets the alarm vibration acceleration threshold based on the second historical operating data, and configures the alarm cumulative time and load reduction wind speed threshold.
[0086] Real-time operating parameter detection module 240: detects the real-time wind speed and the real-time vibration acceleration of the wind turbine's operating environment.
[0087] Operation control module 250: Determines whether the real-time vibration acceleration of the wind turbine exceeds the shutdown vibration acceleration threshold and the duration exceeds the cumulative shutdown time; if so, the wind turbine performs a shutdown action; otherwise, it determines whether the real-time vibration acceleration of the wind turbine exceeds the alarm vibration acceleration threshold and the duration exceeds the cumulative alarm time, and whether the real-time wind speed exceeds the load reduction wind speed threshold; if so, the wind turbine performs a load reduction action and issues an alarm prompt; otherwise, the wind turbine operates normally.
[0088] In an optional implementation, a shutdown vibration acceleration threshold is set based on first historical operating data, specifically including: several vibration acceleration values in the first historical operating data follow a normal distribution; and the mean of the normal distribution is calculated. and standard deviation Set the shutdown vibration acceleration threshold to: +3 .
[0089] In one optional implementation, setting an alarm vibration acceleration threshold based on second historical operating data specifically includes: several vibration acceleration values in the second historical operating data following a normal distribution; and calculating the mean of the normal distribution. and standard deviation Set the alarm vibration acceleration threshold to +3 .
[0090] In one optional implementation, the wind turbine performs a load reduction action, specifically including: adjusting the power setpoint and generator speed setpoint according to the current power value and generator speed value of the wind turbine.
[0091] The wind turbine optimization control system based on nacelle vibration acceleration in this embodiment is used to implement the aforementioned wind turbine optimization control method based on nacelle vibration acceleration. Therefore, the specific implementation of this device can be found in the embodiment section of the wind turbine optimization control method based on nacelle vibration acceleration mentioned above. Thus, the specific implementation can be referred to the description of the corresponding embodiments, and will not be elaborated here.
[0092] Furthermore, since the wind turbine optimization control system based on nacelle vibration acceleration in this embodiment is used to implement the aforementioned wind turbine optimization control method based on nacelle vibration acceleration, its function corresponds to the function of the above method, and will not be repeated here.
[0093] Those skilled in the art will clearly understand that the techniques in the embodiments of the present invention can be implemented using software plus necessary general-purpose hardware platforms. Based on this understanding, the technical solutions in the embodiments of the present invention, or the parts that contribute to the prior art, can be embodied in the form of software products. Computer software products are stored in a storage medium such as a USB flash drive, mobile hard drive, read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk, or other media capable of storing program code. The software includes several instructions to cause a computer terminal (which may be a personal computer, server, or a second terminal, network terminal, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention.
[0094] In the embodiments provided by this invention, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.
[0095] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.
[0096] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.
[0097] The above-disclosed embodiments are merely preferred embodiments of the present invention, but the present invention is not limited thereto. Any non-creative variations that can be conceived by those skilled in the art, as well as any improvements and modifications made without departing from the principles of the present invention, should fall within the protection scope of the present invention.
Claims
1. A wind turbine optimization control method based on nacelle vibration acceleration, characterized in that, Includes the following steps: Acquire the first historical operating data and the second historical operating data of the wind turbine, wherein the first historical operating data includes several vibration acceleration values under abnormal operating conditions of the wind turbine, and the second historical operating data includes several vibration acceleration values under normal operating conditions of the wind turbine. Set the shutdown vibration acceleration threshold based on the first historical operating data, and configure the shutdown cumulative time; Set the alarm vibration acceleration threshold based on the second historical operating data, and configure the alarm accumulation time and the load reduction wind speed threshold; Detect the real-time wind speed and real-time vibration acceleration of the wind turbine operating environment; Determine whether the real-time vibration acceleration of the wind turbine exceeds the shutdown vibration acceleration threshold and whether the duration exceeds the cumulative shutdown time. If so, the wind turbine will shut down. Otherwise, determine whether the real-time vibration acceleration of the wind turbine exceeds the alarm vibration acceleration threshold and the duration exceeds the alarm accumulation time, and whether the real-time wind speed exceeds the load reduction wind speed threshold. If so, the wind turbine will perform a load reduction action and issue an alarm notification. Otherwise, the wind turbine will operate normally; The shutdown vibration acceleration threshold is set based on the first historical operating data, specifically including: Several vibration acceleration values in the first historical operational data follow a normal distribution; Calculate the mean of this normal distribution. and standard deviation ; Set the shutdown vibration acceleration threshold to: +3 ; The alarm vibration acceleration threshold is set based on the second set of historical operating data, specifically including: Some vibration acceleration values in the second historical operational data follow a normal distribution; Calculate the mean of this normal distribution. and standard deviation ; Set the alarm vibration acceleration threshold to +3 .
2. The wind turbine optimization control method based on nacelle vibration acceleration according to claim 1, characterized in that, The wind turbine performs load reduction actions, specifically including: Based on the current power value of the wind turbine and the generator speed value, the power setting value and the generator speed setting value are adjusted downward.
3. A wind turbine optimization control system based on nacelle vibration acceleration, characterized in that, include, Historical operation data acquisition module: acquires the first historical operation data and the second historical operation data of the wind turbine, wherein the first historical operation data includes several vibration acceleration values under abnormal operation conditions of the wind turbine, and the second historical operation data includes several vibration acceleration values under normal operation conditions of the wind turbine. Shutdown acceleration configuration module: Sets the shutdown vibration acceleration threshold based on the first historical operating data, and configures the shutdown cumulative time; Alarm acceleration configuration module: Sets the alarm vibration acceleration threshold based on the second historical operating data, and configures the alarm accumulation time and the load reduction wind speed threshold; Real-time operating parameter detection module: detects the real-time wind speed and the real-time vibration acceleration of the wind turbine's operating environment; Operation control module: Determines whether the real-time vibration acceleration of the wind turbine exceeds the shutdown vibration acceleration threshold and the duration exceeds the cumulative shutdown time; if so, the wind turbine performs a shutdown action; otherwise, it determines whether the real-time vibration acceleration of the wind turbine exceeds the alarm vibration acceleration threshold and the duration exceeds the cumulative alarm time, and whether the real-time wind speed exceeds the load reduction wind speed threshold; if so, the wind turbine performs a load reduction action and issues an alarm prompt. Otherwise, the wind turbine will operate normally; The shutdown vibration acceleration threshold is set based on the first historical operating data, specifically including: Several vibration acceleration values in the first historical operational data follow a normal distribution; Calculate the mean of this normal distribution. and standard deviation ; Set the shutdown vibration acceleration threshold to: +3 ; The alarm vibration acceleration threshold is set based on the second set of historical operating data, specifically including: Some vibration acceleration values in the second historical operational data follow a normal distribution; Calculate the mean of this normal distribution. and standard deviation ; Set the alarm vibration acceleration threshold to +3 .
4. The wind turbine optimization control system based on nacelle vibration acceleration according to claim 3, characterized in that, The wind turbine performs load reduction actions, specifically including: Based on the current power value of the wind turbine and the generator speed value, the power setting value and the generator speed setting value are adjusted downward.
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