Control method, device and system of wind turbine generator, medium and product

By automatically identifying the complex conditions of the wind turbine and turning on the self-protection function, the safety risks and power generation losses of the wind turbine when operating in severe weather and complex terrain conditions are solved, and the safe, continuous operation and power generation of the unit are achieved.

CN119572413AActive Publication Date: 2025-03-07BEIJING GOLDWIND SCI & CREATION WINDPOWER EQUIP CO LTD

Patent Information

Application Number
CN202411755405.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-02
Publication Date
2025-03-07
Estimated Expiration
2044-12-02

AI Technical Summary

Technical Problem

When wind turbines operate under severe weather and complex terrain conditions, there are problems of safety risks and power generation losses. The existing technology relies on manual shutdowns to cause cumbersome processes, low real-time performance and serious power generation losses.

Method used

By obtaining the wind speed in the area where the wind turbine is located, the complex conditions of the unit are automatically identified, and when the self-protection function is turned off, the self-protection function is automatically turned on, and the safety control strategy is implemented to ensure that the wind turbine operates safely and continuously in complex conditions.

Benefits of technology

While ensuring the safety of the unit, the number of shutdowns is reduced, the power generation is increased, the operation and maintenance costs are reduced, and the safety of wind turbines in extreme weather is improved.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The invention discloses a control method, device and system of a wind turbine generator, a medium and a product, and belongs to the technical field of wind power generation. The method comprises the steps of obtaining the wind speed of an area where a wind turbine generator is located in a first time period; determining the operation condition of the wind turbine generator according to the wind speed; and under the condition that the operation condition is the target condition and the self-protection function of the wind turbine generator is closed, the self-protection function of the wind turbine generator is started, and the wind turbine generator is controlled to execute a first control strategy. Namely, the complex condition of the unit can be automatically recognized according to the wind speed of the area where the unit is located, the self-protection function of the unit is automatically started under the condition that the unit is in the complex condition and the self-protection function of the unit is closed, and the unit is controlled to execute the first control strategy. Therefore, under the condition that the safety of the unit is ensured, the shutdown frequency is reduced, and the generating capacity is improved.
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Description

Technical Field

[0001] The present application relates to the technical field of wind power generation, and in particular to a control method, device, system, medium and product of a wind turbine. Background Art

[0002] With the development of wind power technology, the installed capacity of wind turbines is getting larger and larger, and the requirements for the stable operation of wind turbines are getting higher and higher. In China, wind turbines are mostly operated in harsh conditions such as high salt fog, high humidity, high altitude, and wind and sand in the Gobi Desert, seaside, mountains, and plateaus. When encountering severe weather such as strong cold air, strong winds or sandstorms, the coupling of complex terrain will form complex conditions, which will pose great safety risks to the operation of the units.

[0003] At present, in order to ensure the safety of the units, the common method for dealing with disastrous weather is that wind power operators manually shut down the units in advance based on meteorological information or warning information pushed by wind turbine manufacturers, so that the wind turbine units are in a static and non-power-generating state. The disadvantages of this method are:

[0004] (1) To ensure the reliability of information, wind turbine manufacturers usually send warning information to designated personnel at wind farms via email within 24 hours of the onset of disastrous weather. However, wind turbine operators need to implement complex management and approval procedures for manual shutdown of wind turbines. The process is cumbersome and has low real-time performance. In addition, it is easy to miss the opportunity to shut down due to personnel changes or failure to pay attention to the pushed information in a timely manner, increasing the operating risk of the unit.

[0005] (2) The unit is in a shutdown state during the entire warning cycle, which is likely to cause a large amount of power generation loss. Summary of the invention

[0006] The embodiments of the present application provide a control method, device, system, medium and product for a wind turbine generator set, which can both ensure the safety of the wind turbine generator set and increase the power generation when the wind turbine generator set is in a complex situation.

[0007] In a first aspect, an embodiment of the present application provides a control method for a wind turbine generator system, including:

[0008] Obtain the wind speed in the area where the wind turbine is located in the first time period;

[0009] Determine the operating status of the wind turbine according to the wind speed;

[0010] When the operating condition is the target condition and the self-protection function of the wind turbine generator set is turned off, turning on the self-protection function of the wind turbine generator set and controlling the wind turbine generator set to execute the first control strategy;

[0011] The data information related to the weather conditions in the target condition meets the preset severe trigger condition, and the first control strategy is used to enable the wind turbine to operate safely under the target condition.

[0012] In a second aspect, an embodiment of the present application provides a control device for a wind turbine generator set, comprising:

[0013] An acquisition module, used for acquiring the wind speed in the area where the wind turbine is located in a first time period;

[0014] A determination module, used to determine the operating status of the wind turbine according to the wind speed;

[0015] A control module is used to turn on the self-protection function of the wind turbine set and control the wind turbine set to execute a first control strategy when the operating condition is a target condition and the self-protection function of the wind turbine set is turned off; wherein the data information related to the weather conditions in the target condition meets the preset severe trigger condition, and the first control strategy is used to enable the wind turbine set to operate safely under the target condition.

[0016] In a third aspect, an embodiment of the present application provides a control system for a wind turbine generator set, including: a field-level controller, a wind turbine controller, a pitch control system, a wind speed measurement system, and a memory, wherein the wind turbine controller is connected to the field-level controller, and the pitch control system, the wind speed measurement system, and the memory are respectively connected to the wind turbine controller;

[0017] The memory stores computer program instructions;

[0018] When the computer program instructions are executed by the wind turbine controller, the method described in the first aspect is implemented.

[0019] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having computer program instructions stored thereon. When the computer program instructions are executed by a processor, the method described in the first aspect is implemented.

[0020] In a fifth aspect, an embodiment of the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the method described in the first aspect.

[0021] In an embodiment of the present application, the wind speed in the area where the wind turbine is located in the first time period is obtained; the operating status of the wind turbine is determined according to the wind speed; when the operating status is the target status and the self-protection function of the wind turbine is turned off, the self-protection function of the wind turbine is turned on, and the wind turbine is controlled to execute the first control strategy, wherein the data information related to the weather conditions in the target status meets the preset severe trigger condition, and the first control strategy is used to enable the wind turbine to operate safely under the target status. That is, the embodiment of the present application can automatically identify the complex status of the unit according to the wind speed in the area where the unit is located, and when the unit is in a complex status and the self-protection function of the unit is turned off, the self-protection function of the unit is automatically turned on, and the unit is controlled to execute the first control strategy, so that the unit can operate safely and continuously during the complex status, so that the number of shutdowns is reduced and the power generation is increased while ensuring the safety of the unit. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The features, advantages and technical effects of exemplary embodiments of the present application will be described below with reference to the accompanying drawings.

[0023] Figure 1 A schematic diagram of operating data of a wind turbine generator system provided in an embodiment of the present application;

[0024] Figure 2 A flow chart of a control method for a wind turbine generator set provided in an embodiment of the present application;

[0025] Figure 3 A flow chart of another wind turbine control method provided in an embodiment of the present application;

[0026] Figure 4 A flow chart of another wind turbine control method provided in an embodiment of the present application;

[0027] Figure 5 A flow chart of another wind turbine control method provided in an embodiment of the present application;

[0028] Figure 6 A control logic diagram for continuous operation of a unit under complex conditions provided in an embodiment of the present application;

[0029] Figure 7 A schematic diagram of a control process for turning on and off a self-protection function of a unit provided in an embodiment of the present application;

[0030] Figure 8 A structural diagram of a control device for a wind turbine set provided in an embodiment of the present application;

[0031] Fig. 9 A structural diagram of a control system of a wind turbine set provided in an embodiment of the present application.

[0032] In the drawings, the same reference numerals are used for the same components. The drawings are not drawn to scale. DETAILED DESCRIPTION

[0033] The features and exemplary embodiments of various aspects of the present application will be described in detail below. In the detailed description below, many specific details are proposed to provide a comprehensive understanding of the present application. However, it is obvious to those skilled in the art that the present application can be implemented without the need for some of these specific details. The following description of the embodiments is only to provide a better understanding of the present application by illustrating examples of the present application. In the accompanying drawings and the following description, at least some of the known structures and technologies are not shown to avoid unnecessary ambiguity in the present application; and, for clarity, the size of some structures may be exaggerated. In addition, the features, structures or characteristics described below may be combined in one or more embodiments in any suitable manner.

[0034] The directional words appearing in the following description are all directions shown in the figures, and do not limit the specific structure of the guyed tower and wind turbine generator set of this application. In the description of this application, it should also be noted that, unless otherwise clearly specified and limited, the terms "installation" and "connection" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be directly connected or indirectly connected. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to the specific circumstances.

[0035] Since wind turbines usually operate in relatively harsh conditions such as high salt fog, high humidity, high altitude, and strong winds and sand in the Gobi Desert, seaside, mountains, and plateaus, when they encounter disastrous weather such as strong cold air, strong winds or sandstorms, the coupled complex terrain will create complex conditions, posing great safety risks to the operation of the units.

[0036] When the unit is located in a complex terrain with strong cold air coupling, the wind speed may fluctuate violently, such as Figure 1 As shown, the wind speed drops rapidly in a very short time and then rises rapidly, causing the blades of the unit to be in a fully open state under strong wind conditions. The safe clearance between the blades and the tower is small, posing a great safety risk to the operation of the unit.

[0037] In order to ensure the safety of the units, the common method for dealing with disastrous weather is that wind power operators manually shut down the units in advance according to meteorological information or warning information pushed by wind turbine manufacturers, so that the wind turbine units are in a static and non-generating state. This approach has many disadvantages: for example, the process is cumbersome and the real-time performance is poor; it is easy to miss the shutdown opportunity, increasing the risk of wind turbine operation; and causing a large amount of power generation loss.

[0038] To this end, the embodiments of the present application provide a control method, device, system, medium and product for a wind turbine generator set, which can both ensure the safety of the wind turbine generator set and increase the power generation when the wind turbine generator set is in a complex situation.

[0039] The control method of the wind turbine set provided in the embodiment of the present application is described in detail below with reference to the accompanying drawings and specific embodiments.

[0040] Figure 2 The following is a flow chart of a control method for a wind turbine set provided in an embodiment of the present application. The control method for a wind turbine set can be applied to a wind turbine controller. Figure 2 As shown, the control method of the wind turbine generator set may include the following steps:

[0041] S210: Obtain the wind speed in the area where the wind turbine generator set is located in the first time period.

[0042] S220. Determine the operating status of the wind turbine generator system according to the wind speed.

[0043] S230. When the operating condition is the target condition and the self-protection function of the wind turbine generator set is turned off, the self-protection function of the wind turbine generator set is turned on, and the wind turbine generator set is controlled to execute a first control strategy; wherein the data information related to the weather conditions in the target condition meets the preset severe trigger condition, and the first control strategy is used to enable the wind turbine generator set to operate safely under the target condition.

[0044] The embodiment of the present application can automatically identify the complex condition of the unit according to the wind speed in the area where the unit is located, and when the unit is in a complex condition and the self-protection function of the unit is turned off, the self-protection function of the unit is automatically turned on, and the unit is controlled to execute the first control strategy, so that the unit can operate safely and continuously during the complex condition. In this way, the number of shutdowns is reduced and the power generation is increased while ensuring the safety of the unit.

[0045] The above steps are described in detail below:

[0046] In S210, the wind turbine here can be any wind turbine in the wind farm. The first time period can be a time period before the current moment. As time changes, the first time period can be dynamically updated, that is, the embodiment of the present application can monitor the wind speed in real time, so that the wind turbine can be controlled in real time based on the wind speed to ensure the safety of the turbine. Exemplarily, the first time period can be 6-8 hours.

[0047] Taking unit A located in area B as an example, in some embodiments, the wind speed of area B in the first time period can be measured by the wind speed measurement system on unit A, that is, the wind speed of area B in the first time period is equal to the wind speed measured in the first time period by the wind speed measurement system on unit A. The wind speed measurement system can be a device capable of measuring wind speed, for example, it can include but is not limited to a wind speed sensor, a laser radar, etc.

[0048] Taking the wind speed sensor as an example, one or more wind speed sensors can be installed on the same unit. When there are multiple wind speed sensors, each wind speed sensor can be installed at a different position of the unit, so that multiple wind speeds can be obtained at the same time. In this case, for example, the maximum value of the multiple wind speeds can be determined as the wind speed of area B in the first time period, and the average of the multiple wind speeds can also be determined as the wind speed of area B in the first time period.

[0049] In some embodiments, the wind speed of region B in the first time period may also be determined based on the wind speed of the wind farm where unit A is located in the first time period. For example, the wind speed of region B in the first time period is equal to the wind speed of the wind farm where unit A is located in the first time period. The wind speed of the wind farm in the first time period may be determined based on the wind speed of the region where each unit in the wind farm is located. For example, if the wind farm includes 10 units, the average wind speed of the region where the 10 units are located in the first time period may be determined, and the wind speed of the wind farm in the first time period is the average wind speed.

[0050] In some embodiments, the wind speed of area B in the first time period can also be determined based on the wind speed of the area where the adjacent unit is located in the first time period. For example, the wind speed of area B in the first time period is equal to the wind speed of the area where the adjacent unit is located in the first time period. When there are multiple adjacent units, the average wind speed of the adjacent units in the first time period can be determined as the wind speed of area B in the first time period.

[0051] In some embodiments, the wind speed of region B in the first time period can also be determined based on the corresponding wind speed of the units with similar operating conditions in the first time period. For example, the wind speed of region B in the first time period is equal to the corresponding wind speed of the units with similar operating conditions in the first time period. The similarity of two operating conditions can be that the similarity of the two operating conditions is greater than or equal to a similarity threshold. The similarity of the operating conditions of the two units can be determined based on the terrain, weather, etc. where the units are located.

[0052] That is, the wind speed of a certain unit in the first time period in the embodiment of the present application can be measured by a wind speed measurement system installed on the unit, or it can be determined based on the wind speed of the wind farm where the unit is located in the first time period, or it can be determined based on the wind speed of adjacent units in the first time period, or it can be determined based on the wind speed of units with similar operating conditions in the first time period. In this way, the flexibility of the wind speed determination method is improved and can be applied to more scenarios.

[0053] Exemplarily, the wind turbine controller may obtain the wind speed of the area where the wind turbine is located in the first time period from a central monitoring system (Supervisory Control And Data Acquisition, SCADA).

[0054] For example, the wind turbine controller may also obtain the wind speed in the area where the wind turbine is located according to a certain sampling period, that is, at a certain time interval, within the first time period, that is, there are multiple wind speeds in the area within the first time period. In this way, the operating status of the wind turbine can be determined more accurately.

[0055] In S220, the operating condition is used to characterize the operating environment of the wind turbine generator set, and the operating condition may include a complex condition and a non-complex condition, wherein the complex condition is usually caused by disastrous weather coupled with complex terrain. The operating condition of the turbine generator set may be determined based on the wind speed.

[0056] Exemplarily, the wind speed obtained above may be matched with an operating status table to obtain the operating status of the unit, and the operating status table is used to store the relationship between the wind speed and the operating status.

[0057] Exemplarily, a deep learning model may also be used to determine the operating status of the unit. For example, the wind speed may be input into a pre-trained deep learning model to obtain the operating status of the unit.

[0058] In the case where the first time period includes a plurality of sampling periods, illustratively, the change trend of the wind speed may be determined based on the wind speed obtained in each sampling period, and the operating status of the unit may be determined based on the change trend.

[0059] In S230, the data information related to the weather conditions in the target condition meets the preset severe trigger condition, that is, the wind turbine is in severe conditions. At this time, it can be considered that the wind turbine is in a complex condition, that is, the target condition is a complex condition.

[0060] The self-protection function is used to protect the unit when the wind turbine is in a complex situation. In an embodiment of the present application, the self-protection function can be turned on manually or automatically. The self-protection function of the unit can be turned on by default or turned off by default. Exemplarily, the turning on and off of the self-protection function can be characterized by different enable flags. For example, when the self-protection function is turned on, the enable flag can be true, and when the self-protection function is turned off, the enable flag can be false. Of course, other enable flags can also be used to represent it. That is, by detecting the enable flag, it can be determined whether the self-protection function of the unit is turned on.

[0061] For example, when the fan controller detects that the unit is in a complex condition and the self-protection function of the unit is turned off, it can automatically turn on the self-protection function of the unit, providing a prerequisite for the subsequent execution of the safety protection strategy.

[0062] In some embodiments, when the self-protection function of the unit is turned off, the fan controller can also automatically turn on the self-protection function of the unit when receiving the warning information sent by the meteorological station. The meteorological station here can be a high-precision meteorological station, that is, a platform that can accurately monitor meteorological data. Exemplarily, the meteorological station can select some wind turbine points as monitoring points. When the wind speed at the monitoring point is detected to be greater than a certain threshold and the duration is greater than the preset duration, the meteorological station can send a warning message to the SCADA system. After receiving the warning message, the SCADA system forwards it to the fan controller. After receiving the warning message, the fan controller can automatically turn on the self-protection function of the unit.

[0063] In some embodiments, the fan controller may also automatically activate the self-protection function of the unit when it detects that the unit is in a complex condition and receives an early warning message.

[0064] When the self-protection function is turned on, the wind turbine controller can control the unit to execute the first control strategy, which is also called the safety control strategy. That is, when the unit is in a complex situation, the embodiment of the present application can control the unit to execute the safety control strategy, so that the unit can still operate continuously and safely under complex conditions. This can reduce downtime and increase the power generation of the unit. At the same time, it can also reduce the manpower required for manual shutdown and startup, thereby reducing the operation and maintenance costs of the wind farm.

[0065] Taking the first time period including multiple sampling periods as an example, illustratively, Figure 3 As shown, Figure 3 A flow chart of another wind turbine control method provided in an embodiment of the present application, Figure 3 and Figure 2 The difference is that Figure 2 The S220 in can be refined into Figure 3S310-S330 in.

[0066] S310 , filtering the wind speed obtained in each sampling period according to a preset filtering time constant to obtain at least one filtered wind speed.

[0067] Exemplarily, the wind speed obtained in each sampling period may be filtered by a first-order low-pass filter in combination with a preset filtering time constant to obtain at least one filtered wind speed.

[0068] Exemplarily, the wind speed within N consecutive sampling periods can be filtered by a first-order low-pass filter to obtain a filtered wind speed. Taking each sampling period as 1 minute as an example, exemplary, N=10, that is, the wind speed can be filtered once every 10 minutes. In actual application, N can also be other integers, and the sampling period can also be set to other values.

[0069] Exemplarily, when performing filtering processing, a sliding time window can be combined. The sliding time window can include multiple sampling periods. By means of the sliding time window, the wind speed within each sliding time window is filtered, so that at least one filtered wind speed can be obtained. In actual application, multiple filtered wind speeds are usually obtained.

[0070] The filtering time constant can be determined according to the time constant of a first-order low-pass filter. For example, the relationship between the time constant of a first-order low-pass filter, the filtering time constant and the sampling period is as follows:

[0071]

[0072] Wherein, time_factor is the filtering time constant, T is the sampling period, usually, T=0.02s, t is the time constant of the first-order low-pass filter, and the filtering time constant can be obtained according to the above relationship.

[0073] According to the filtering time constant, the cutoff frequency Fs of the first-order low-pass filter can be obtained.

[0074] For example, Fs = 1 / ((time factor -1)*T) / (2π), and the wind speed in the sliding time window is filtered according to the cutoff frequency to obtain the filtered wind speed corresponding to the sliding time window.

[0075] S320, determining a first average filtered wind speed of each filtered wind speed, and determining a maximum filtered wind speed and a minimum filtered wind speed from each filtered wind speed.

[0076] After obtaining each filtered wind speed, the mean of each filtered wind speed can be determined to obtain the first average filtered wind speed. Each filtered wind speed is arranged in descending order, and the maximum filtered wind speed and the minimum filtered wind speed are taken out to provide a basis for subsequent identification of the operating status of the unit.

[0077] S330. Determine the operating status of the wind turbine generator set according to the first average filtered wind speed, the maximum filtered wind speed, and the minimum filtered wind speed.

[0078] Exemplarily, the first average filtered wind speed, maximum filtered wind speed and minimum filtered wind speed can be matched with the operating status table to obtain the operating status of the unit. The operating status table is used to store the relationship between the first average filtered wind speed, maximum filtered wind speed and minimum filtered wind speed and the operating status.

[0079] Exemplarily, the operating status of the unit can also be obtained based on the first average filtered wind speed, the maximum filtered wind speed and the minimum filtered wind speed in combination with a deep learning model.

[0080] Exemplarily, the operating status of the unit may also be determined in the following manner:

[0081] When the maximum filtered wind speed is greater than the first wind speed threshold, the difference between the first average filtered wind speed and the minimum filtered wind speed is greater than the second wind speed threshold, and the first average filtered wind speed is greater than the second average filtered wind speed, the operating condition is determined to be the target condition, the second average filtered wind speed is the average filtered wind speed corresponding to the area in the second time period, and the second time period is the time period before the first time period.

[0082] In the embodiment of the present application, there is no direct relationship between the first wind speed threshold and the second wind speed threshold, that is, the first wind speed threshold may be greater than, less than or equal to the second wind speed threshold. The first wind speed threshold and the second wind speed threshold may be obtained by analyzing a large amount of unit operation data, and the unit operation data may include, but is not limited to, blade angle, main shaft speed, generator load, etc.

[0083] The difference between the first average filtered wind speed and the minimum filtered wind speed is used to characterize the maximum increase in wind speed. The first average filtered wind speed being greater than the second average filtered wind speed indicates that the wind speed is on an upward trend.

[0084] That is, when the maximum filtered wind speed is greater than the first wind speed threshold, and the maximum increase in wind speed is greater than the second wind speed threshold, and the wind speed is on an upward trend, it can be determined that the operating condition of the unit is the target condition, that is, the unit is in a complex condition.

[0085] For example, when V max1 -V wsc >0, and V mean -V min1 >V wss , and Vmean -V mean1 >0, it can be determined that the unit is in a complex state. max1 、V min1 are the maximum filtered wind speed and the minimum filtered wind speed corresponding to the first time period, V mean is the first average filtered wind speed, V mean1 is the second average filtered wind speed, V wsc is the first wind speed threshold, V wss is the second wind speed threshold.

[0086] That is, the embodiment of the present application can filter the wind speed within multiple sampling periods to obtain multiple filtered wind speeds, and automatically identify the complex conditions caused by extreme weather coupled with complex terrain based on the mean of the filtered wind speeds and the maximum filtered wind speed and the minimum filtered wind speed, thereby improving the safety of wind turbine protection.

[0087] Figure 4 A flow chart of another wind turbine control method provided in an embodiment of the present application, Figure 4 and Figure 2 The difference is that Figure 2 The S230 in the Figure 4 S410-S430 in.

[0088] S410. When the operating condition is the target condition and the self-protection function of the wind turbine generator set is turned off, turn on the self-protection function of the wind turbine generator set, and control the wind turbine generator set to operate for a first time period according to a second control strategy, where the second control strategy is the control strategy adopted before the self-protection function of the wind turbine generator set is turned on.

[0089] Taking into account the instability of wind speed, that is, the wind speed may be relatively low at a certain time, but then suddenly increases, in order to avoid the impact of wind speed instability on the unit and protect the safety of the unit, illustratively, after the self-protection function is turned on, the fan controller can first control the unit to operate according to the second control strategy for a period of time, for example, the unit can be controlled to operate for a first period of time according to the control strategy before the self-protection function is turned on. That is, after the self-protection function is turned on, the embodiment of the present application does not immediately execute the first control strategy, but has an observation period, that is, the first period of time. After the observation period ends, if it is indeed necessary to execute the first control strategy on the unit, then control the unit to execute the first control strategy. If it is not necessary to execute the first control strategy, the self-protection function of the unit can be turned off at this time.

[0090] The first duration can be obtained by analyzing a large amount of unit operation data, and the unit operation data may include but is not limited to blade angle, main shaft speed, generator load, etc. Exemplarily, the first duration may be 6-9 hours.

[0091] S420: When the first time period ends, determine a third average filtered wind speed and a maximum filtered wind speed corresponding to the area in a third time period.

[0092] The third time period may be a time period before the end of the first time period. Taking the time t when the first time period ends as an example, the third time period may be [t1, t], where t1 may be a time before time t. Exemplarily, the duration of the third time period may be the same as that of the first time period.

[0093] The process of determining the third average filtered wind speed and the maximum filtered wind speed of the area in the third time period can refer to the process of determining the first average filtered wind speed and the maximum filtered wind speed in the first time period, and will not be repeated here for the sake of brevity.

[0094] S430: Control the wind turbine generator set to execute the first control strategy according to the third average filtered wind speed and the maximum filtered wind speed corresponding to the area in the third time period.

[0095] Exemplarily, after the first period of time, if the determined third average filtered wind speed and maximum filtered wind speed meet the preset conditions, the unit can be controlled to execute the first control strategy. While ensuring the safety of the unit, the unit can be controlled to continue operating, reduce the number of unit shutdowns, and increase power generation.

[0096] Exemplarily, when the third average filtered wind speed and the maximum filtered wind speed corresponding to the area in the third time period meet at least one of the following conditions, the wind turbine generator set is controlled to execute the first control strategy:

[0097] The third average filtered wind speed is greater than or equal to the fourth average filtered wind speed, the fourth average filtered wind speed is the average filtered wind speed corresponding to the area in a fourth time period, and the fourth time period is a time period before the third time period;

[0098] The maximum filtered wind speed corresponding to the area in the third time period is greater than or equal to the first wind speed threshold.

[0099] Exemplarily, when the third average filtered wind speed is greater than or equal to the fourth average filtered wind speed, that is, the wind speed shows an upward trend, the unit can be controlled to execute the first control strategy.

[0100] Exemplarily, when the maximum filtered wind speed corresponding to the area in the third time period is greater than or equal to the first wind speed threshold, the unit can be controlled to execute the first control strategy.

[0101] Exemplarily, when the third average filtered wind speed is greater than or equal to the fourth average filtered wind speed, and the maximum filtered wind speed corresponding to the area in the third time period is greater than or equal to the first wind speed threshold, the unit can be controlled to execute the first control strategy.

[0102] Exemplarily, when the third average filtered wind speed is less than the fourth average filtered wind speed and the maximum filtered wind speed is less than the first wind speed threshold, it means that the wind speed drops below the first wind speed threshold and is always in a downward trend. At this time, there is no need to execute the first control strategy. In some embodiments, the self-protection function can be turned off.

[0103] For example, when V max3 -V wsc <0, and V mean3 -V mean4 When <0, the self-protection function can be turned off.

[0104] For example, when V max3 -V wsc ≥0, or V mean3 -V mean4 When ≥0, the unit can be controlled to execute the first control strategy.

[0105] After the self-protection function is turned on, the embodiment of the present application first controls the unit to continue running for the first period of time according to the previous control strategy. When the first period of time ends, it can further determine whether to execute the first control strategy based on the average filtered wind speed and the maximum filtered wind speed for a period of time before the end of the first period of time, which fully considers the instability of the wind speed and improves the safe operation performance of the unit.

[0106] Figure 5 A flow chart of another wind turbine control method provided in an embodiment of the present application, Figure 5 Take the case where the unit is in the target state as an example. Figure 5 and Figure 2 The difference is that S130 in 2 can be refined into Figure 5 S510-S530 in.

[0107] S510: When the self-protection function of the wind turbine generator system is turned on, obtain the real-time wind speed in the area.

[0108] The real-time wind speed here can be the wind speed collected in real time, or it can be determined based on the short-time wind speed before the current moment. For example, for the current moment, the wind speed within a period of time before the current moment can be obtained, and the wind speed within the time period can be filtered to obtain the short-time filtered wind speed, and the short-time filtered wind speed can be determined as the real-time wind speed of the area. For example, the wind speed within the last 3 seconds can be filtered, and the processed wind speed can be used as the real-time wind speed of the area.

[0109] That is, the embodiment of the present application can determine whether the first control strategy needs to be executed based on the wind speed in a short period of time, thereby ensuring the safety of the unit to the greatest extent.

[0110] S520: When the real-time wind speed is greater than a third wind speed threshold, determine a pitch angle threshold according to a preset clearance distance between the blades of the wind turbine generator set and the tower, and determine a minimum pitch angle of the wind turbine generator set according to the pitch angle threshold.

[0111] The third wind speed threshold may be a constant, and the third wind speed threshold may be a maximum value that enables the unit to operate continuously and safely. The third wind speed threshold may be obtained by analyzing a large amount of unit operation data, and the unit operation data may include but is not limited to blade angle, main shaft speed, generator load, etc.

[0112] The preset clearance distance may be a safe clearance distance between the blade and the tower. Exemplarily, the preset clearance distance may be greater than or equal to a minimum safe clearance distance between the blade and the tower.

[0113] When the distance between the blade and the tower is a preset clearance distance, the pitch angle threshold can be determined according to the preset clearance distance, and the specific determination process is not limited in the embodiment of the present application.

[0114] Exemplarily, when the real-time wind speed is greater than the third wind speed threshold, the minimum pitch angle of the unit can be determined according to the pitch angle threshold determined above. Exemplarily, the minimum pitch angle is greater than or equal to the pitch angle threshold.

[0115] S530: Perform variable pitch control on the wind turbine generator set according to the minimum pitch angle and the second time duration.

[0116] For example, the unit can be subjected to pitch control according to the minimum pitch angle, and the unit can be controlled to run for a second duration. That is, during the second duration, the unit can be subjected to pitch control so that the pitch angle of the blade is greater than or equal to the minimum pitch angle, so that the clearance distance between the blade and the tower can always be a safe clearance distance, thereby ensuring the safe operation of the unit.

[0117] Exemplarily, the second duration may be set to 15-30 minutes.

[0118] After the self-protection function of the unit is turned on, when the real-time wind speed is greater than the third wind speed threshold for continuous and stable operation of the unit, the pitch angle threshold can be determined according to the safe clearance between the blades and the tower, and the minimum pitch angle can be determined according to the pitch angle threshold, and then the unit can be controlled according to the minimum pitch angle. In this way, it can be ensured that the clearance distance between the blades and the tower is always a safe clearance distance under complex working conditions, thereby ensuring the safety of the unit.

[0119] Considering the instability of wind speed, that is, the wind speed may fluctuate during the operation of the unit, in order to ensure the safety of the unit, in some embodiments, the control method of the wind turbine unit may further include the following steps:

[0120] During the second time period, if the difference between the real-time wind speed and the third wind speed threshold meets the wind speed fluctuation condition, the second time period is reset;

[0121] When the second time period ends, the fifth average filtered wind speed corresponding to the fifth time period of the area is determined, and the fifth time period is the time period before the end of the second time period; when the fifth average filtered wind speed is less than the fourth wind speed threshold, the optimal pitch angle is determined according to the real-time wind speed, and the wind turbine is controlled by variable pitch according to the optimal pitch angle.

[0122] The difference between the real-time wind speed and the third wind speed threshold satisfies the wind speed fluctuation condition, indicating that the real-time wind speed fluctuates above and below the third wind speed threshold. During the second time period, if the real-time wind speed fluctuates above and below the third wind speed threshold, it is necessary to re-time the second time period, that is, it is necessary to continue to control the pitch of the unit according to the minimum pitch angle and make the unit run for the second time period.

[0123] At the end of the second time period, a period of time can be counted back from the end time as the fifth time period, and then the fifth average filtered wind speed corresponding to the area in the fifth time period is determined. The determination process can refer to the first average filtered wind speed, and for the sake of brevity, it is not repeated here. For example, the fifth time period can be 10 minutes before the end time, or more than 10 minutes.

[0124] Exemplarily, at the end of the second time period, if the fifth average filtered wind speed is less than the fourth wind speed threshold, the unit can be controlled to exit the first control strategy, and the optimal pitch angle can be determined according to the real-time wind speed, and then the unit can be controlled to change the pitch according to the optimal pitch angle.

[0125] Exemplarily, the fourth wind speed threshold is smaller than the third wind speed threshold.

[0126] For example, Figure 6 As shown, PitchAngle1 represents the minimum pitch angle, Tss represents the second time duration, WindSpeed1 represents the third wind speed threshold, and WindSpeed2 represents the fourth wind speed threshold.

[0127] like Figure 6 As shown, at time t1, the real-time wind speed 601 is greater than WindSpeed1, and the timing starts at this time. Between time t1 and time t2, the real-time wind speed 601 is first greater than WindSpeed1, and then less than WindSpeed1, and the duration between time t1 and time t2 is less than Tss, because after time t2, the real-time wind speed is greater than WindSpeed1 again, so it is necessary to re-timing at time t2. And during the timing process, the pitch angle of the blade is always less than or equal to the minimum pitch angle.

[0128] At time t3, Tss is reached. At this time, the fifth average filtered wind speed 602 is less than WindSpeed2, and the unit is controlled to exit the first control strategy, that is, the unit is no longer controlled according to the minimum pitch angle, but is controlled according to the optimal pitch angle.

[0129] At time t4, the real-time wind speed 601 is greater than WindSpeed1 again, and the unit needs to be controlled to execute the first control strategy again. At time t5, it reaches Tss. At this time, the fifth average filtered wind speed 602 is greater than WindSpeed2, and the unit continues to be controlled to execute the first control strategy.

[0130] At time t6, the fifth average filtered wind speed 602 is equal to WindSpeed2, and then continues to decrease and is less than WindSpeed2. Therefore, at time t6, the unit can be controlled to exit the first control strategy.

[0131] That is, in the embodiment of the present application, when the real-time wind speed is greater than the third wind speed threshold, the unit is controlled according to the minimum pitch angle for a period of time. Before the end of this period, if it is detected that the real-time wind speed fluctuates above and below the third wind speed threshold, it is necessary to restart the timing, and after the timing ends, if the wind speed for a period of time before the end of the timing is less than the fourth wind speed threshold, the unit is controlled according to the optimal pitch angle. That is, the embodiment of the present application can adaptively adjust the control strategy of the unit according to the short-term wind speed and the long-term wind speed, reduce the number of shutdowns and increase power generation while ensuring the safety of the unit.

[0132] In some embodiments, when the unit exits the first control strategy, the fan controller may turn off the self-protection function of the unit, or may keep the self-protection function turned on.

[0133] Combine the following Figure 7 The process of turning on and off the self-protection function is explained.

[0134] S700, power on the unit.

[0135] S701, the enable flag position of the self-protection function is false, indicating that the self-protection function of the unit is currently in the disabled state.

[0136] S702, whether Vmax1>Vwsc exists in the T1 window, if yes, execute S703, otherwise, return to execute S701. T1 may be the first time period in the above embodiment.

[0137] S703: Whether the maximum increase in wind speed in the T1 window is greater than Vwss, and whether the wind speed is on an upward trend. If all the above conditions are met, execute S704; otherwise, return to execute S701.

[0138] S704. Turn on the self-protection function of the unit, and the enable flag position of the self-protection function is true.

[0139] S705: After the self-protection function is turned on, the unit is controlled to run for a time period of T2 until time t is reached. T2 may be the first time period in the above embodiment.

[0140] S706. Calculate the maximum wind speed in the T1 window from time t onward.

[0141] S707: Is the maximum wind speed in the T1 window less than Vwsc? If so, execute S708; otherwise, execute S709 and return to execute S706.

[0142] S708: Is the wind speed showing a downward trend? If so, execute S710; otherwise, return to execute S709.

[0143] S709, t=t+δt, illustratively, δ=10 min.

[0144] S710, turn off the self-protection function of the unit, and the enable flag position of the self-protection function is false.

[0145] The embodiment of the present application can identify the complex conditions caused by extreme weather coupled with complex terrain based on the recorded short-term historical wind speed, so as to automatically determine whether the wind turbine needs to activate the self-protection function to deal with complex conditions, thereby avoiding delays and omissions caused by human judgment and improving the safety of the wind turbine in extreme weather. When the unit is in a complex condition caused by extreme weather coupled with complex terrain, the unit can be controlled to execute a safety control strategy so that the wind turbine can operate sustainably under such special conditions, reducing downtime and increasing the power generation of the unit. At the same time, it can also reduce the manpower required for manual shutdown and startup, and reduce the operation and maintenance costs of the wind farm.

[0146] Based on the same inventive concept, the present application also provides a control device for a wind turbine generator set. Figure 8 The control device of the wind turbine set provided in the embodiment of the present application is described.

[0147] Figure 8 A structural diagram of a control device for a wind turbine set provided in an embodiment of the present application, such as Figure 8 As shown, the control device 800 of the wind turbine generator set may include:

[0148] An acquisition module 801 is used to acquire the wind speed in the area where the wind turbine is located in a first time period;

[0149] A determination module 802 is used to determine the operating status of the wind turbine according to the wind speed;

[0150] The control module 803 is used to turn on the self-protection function of the wind turbine generator set and control the wind turbine generator set to execute a first control strategy when the operating condition is the target condition and the self-protection function of the wind turbine generator set is turned off; wherein the data information related to the weather conditions in the target condition meets the preset severe trigger condition, and the first control strategy is used to enable the wind turbine generator set to operate safely under the target condition.

[0151] The embodiment of the present application can automatically identify the complex condition of the unit according to the wind speed in the area where the unit is located, and when the unit is in a complex condition and the self-protection function of the unit is turned off, the self-protection function of the unit is automatically turned on, and the unit is controlled to execute the first control strategy, so that the unit can operate safely and continuously during the complex condition. In this way, the number of shutdowns is reduced and the power generation is increased while ensuring the safety of the unit.

[0152] In some embodiments, the first time period includes a plurality of sampling periods;

[0153] The determination module 802 is specifically configured to:

[0154] Filtering the wind speed obtained in each sampling period according to a preset filtering time constant to obtain at least one filtered wind speed;

[0155] Determining a first average filtered wind speed of each filtered wind speed and determining a maximum filtered wind speed and a minimum filtered wind speed from each filtered wind speed;

[0156] The operating status of the wind turbine generator set is determined according to the first average filtered wind speed, the maximum filtered wind speed and the minimum filtered wind speed.

[0157] In some embodiments, the determination module 802 is specifically configured to:

[0158] When the maximum filtered wind speed is greater than the first wind speed threshold, the difference between the first average filtered wind speed and the minimum filtered wind speed is greater than the second wind speed threshold, and the first average filtered wind speed is greater than the second average filtered wind speed, the operating condition is determined to be the target condition, the second average filtered wind speed is the average filtered wind speed corresponding to the area in the second time period, and the second time period is the time period before the first time period.

[0159] In some embodiments, the control module 803 is specifically configured to:

[0160] When the operating condition is the target condition and the self-protection function of the wind turbine generator set is turned off, the self-protection function of the wind turbine generator set is turned on, and the wind turbine generator set is controlled to operate for a first time period according to a second control strategy, where the second control strategy is the control strategy adopted before the self-protection function of the wind turbine generator set is turned on;

[0161] The determination module 802 is specifically configured to:

[0162] When the first time period ends, determining a third average filtered wind speed and a maximum filtered wind speed corresponding to the area in a third time period;

[0163] The control module 803 is specifically used for:

[0164] The wind turbine generator set is controlled to execute the first control strategy according to the third average filtered wind speed and the maximum filtered wind speed corresponding to the region in the third time period.

[0165] In some embodiments, the control module 803 is specifically configured to:

[0166] When the third average filtered wind speed and the maximum filtered wind speed corresponding to the region in the third time period meet at least one of the following conditions, the wind turbine generator set is controlled to execute the first control strategy:

[0167] The third average filtered wind speed is greater than or equal to the fourth average filtered wind speed, the fourth average filtered wind speed is the average filtered wind speed corresponding to the area in a fourth time period, and the fourth time period is a time period before the third time period;

[0168] The maximum filtered wind speed corresponding to the area in the third time period is greater than or equal to the first wind speed threshold.

[0169] In some embodiments, the acquisition module 801 is further used to acquire the real-time wind speed of the area when the self-protection function of the wind turbine generator is turned on;

[0170] The determination module 802 is further configured to determine a pitch angle threshold value according to a preset clearance distance between the blades of the wind turbine generator set and the tower when the real-time wind speed is greater than a third wind speed threshold value, and determine a minimum pitch angle of the wind turbine generator set according to the pitch angle threshold value;

[0171] The control module 803 is specifically used for:

[0172] The wind turbine is subjected to pitch control according to the minimum pitch angle and the second time duration.

[0173] In some embodiments, the control device 800 of the wind turbine generator set may further include:

[0174] A timing module, configured to, during the second time period, re-time the second time period when the difference between the real-time wind speed and the third wind speed threshold satisfies the wind speed fluctuation condition;

[0175] The determination module 802 is also used to determine the fifth average filtered wind speed corresponding to the area in the fifth time period when the second time period ends, and the fifth time period is the time period before the end of the second time period; when the fifth average filtered wind speed is less than the fourth wind speed threshold, determine the optimal pitch angle according to the real-time wind speed, and perform variable pitch control on the wind turbine according to the optimal pitch angle.

[0176] In some embodiments, the wind speed in the area where the wind turbine is located in the first time period includes at least one of the following:

[0177] The wind speed of the wind farm where the wind turbine is located in the first time period;

[0178] The wind speed measured by the wind speed measurement system of the wind turbine generator set in the first time period;

[0179] The wind speed in the area where the adjacent wind turbines are located in the first time period;

[0180] The wind speed in the first time period is in the area where the wind turbine generator set is located, the similarity of which to the operating status of the wind turbine generator set is greater than or equal to the similarity threshold.

[0181] The embodiment of the present application can identify the complex conditions caused by extreme weather coupled with complex terrain based on the recorded short-term historical wind speed, so as to automatically determine whether the wind turbine needs to activate the self-protection function to deal with complex conditions, thereby avoiding delays and omissions caused by human judgment and improving the safety of the wind turbine in extreme weather. When the unit is in a complex condition caused by extreme weather coupled with complex terrain, the unit can be controlled to execute a safety control strategy so that the wind turbine can operate sustainably under such special conditions, reducing downtime and increasing the power generation of the unit. At the same time, it can also reduce the manpower required for manual shutdown and startup, and reduce the operation and maintenance costs of the wind farm.

[0182] Based on the same inventive concept, the embodiment of the present application also provides a control system for a wind turbine generator set. Fig. 9 The control system of the wind turbine set provided in the embodiment of the present application is described.

[0183] Fig. 9 A structural diagram of a control system of a wind turbine generator system provided in an embodiment of the present application, such as Fig. 9 As shown, the control system 900 of the wind turbine group may include: a field-level controller 901, a wind turbine controller 902, a pitch system 903, a wind speed measurement system 904 and a memory 905, the wind turbine controller 902 is connected to the field-level controller 901, and the pitch system 903, the wind speed measurement system 904 and the memory 905 are respectively connected to the wind turbine controller 902;

[0184] The memory 905 may include a large capacity memory for data or instructions. For example, but not limitation, the memory 905 may include a hard disk drive (HDD), a floppy disk drive, a flash memory, an optical disk, a magneto-optical disk, a magnetic tape or a universal serial bus (USB) driver or a combination of two or more of these. In an example, the memory 905 may include a removable or non-removable (or fixed) medium, or the memory 905 is a non-volatile solid-state memory. In an example, the memory 905 may be a read-only memory (ROM). In an example, the ROM may be a mask-programmed ROM, a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (EEPROM), an electrically rewritable ROM (EAROM) or a flash memory or a combination of two or more of these.

[0185] The fan controller 902 reads and executes the computer program instructions stored in the memory 905 to implement Figure 1-Figure 7 The method in the embodiment shown in the figure is achieved Figure 1-Figure 7 The corresponding technical effects achieved by executing the method in the illustrated embodiment are not described in detail here for the sake of brevity.

[0186] In some examples, the control system 900 of the wind turbine generator system may further include: a communication interface 906 and a bus 907. Fig. 9 As shown, a field-level controller 901 , a wind turbine controller 902 , a pitch control system 903 , a wind speed measurement system 904 , a memory 905 and a communication interface 906 are connected via a bus 907 and communicate with each other.

[0187] The communication interface 906 is mainly used to implement communication between various modules, devices and / or equipment in the embodiments of the present application.

[0188] Bus 907 includes hardware, software or both, and each component of the control system 900 of the wind turbine is coupled to each other. For example, but not limitation, bus 907 may include Accelerated Graphics Port (AGP) or other graphics bus, Enhanced Industry Standard Architecture (EISA) bus, Front Side Bus (FSB), Hyper Transport (HT) interconnection, Industry Standard Architecture (ISA) bus, InfiniBand interconnection, Low Pin Count (LPC) bus, Memory bus, Micro Channel Architecture (MCA) bus, Peripheral Component Interconnect (PCI) bus, PCI-Express (PCI-X) bus, Serial Advanced Technology Attachment (SATA) bus, Video Electronics Standards Association Local (VLB) bus or other suitable bus or two or more of these combinations. In appropriate cases, bus 907 may include one or more buses. Although the present application embodiment describes and shows a specific bus, the present application considers any suitable bus or interconnection.

[0189] The wind turbine controller 902 can execute the wind turbine control method in the embodiment of the present application after obtaining the wind speed in the area where the wind turbine is located in the first time period, thereby realizing the combination Figure 1-Figure 7 The control method of the wind turbine described Figure 8 A control device for a wind turbine is described.

[0190] In addition, in combination with the control method of the wind turbine in the above embodiment, the embodiment of the present application can provide a computer storage medium for implementation. The computer storage medium stores computer program instructions; when the computer program instructions are executed by the processor, any one of the control methods of the wind turbine in the above embodiment is implemented.

[0191] In addition, in combination with the control method of the wind turbine in the above embodiment, the embodiment of the present application can provide a computer program product to implement. The computer program product includes a computer program, and when the computer program is executed by a processor, any one of the control methods of the wind turbine in the above embodiment is implemented.

[0192] Although the present application has been described with reference to preferred embodiments, various modifications may be made thereto and parts thereof may be replaced with equivalents without departing from the scope of the present application. In particular, the various technical features mentioned in the various embodiments may be combined in any manner as long as there are no structural conflicts. The present application is not limited to the specific embodiments disclosed herein, but includes all technical solutions falling within the scope of the claims.

Claims

1. A control method for a wind turbine generator set, characterized in that: include: Obtain the wind speed in the area where the wind turbine is located in the first time period; Determining the operating status of the wind turbine generator set according to the wind speed; When the operating condition is the target condition and the self-protection function of the wind turbine generator set is turned off, turning on the self-protection function of the wind turbine generator set and controlling the wind turbine generator set to execute a first control strategy; The data information related to the weather conditions in the target condition meets a preset severe trigger condition, and the first control strategy is used to enable the wind turbine to operate safely under the target condition.

2. The method according to claim 1, characterized in that: The first time period includes a plurality of sampling periods; Determining the operating status of the wind turbine generator set according to the wind speed includes: Filtering the wind speed obtained in each sampling period according to a preset filtering time constant to obtain at least one filtered wind speed; Determining a first average filtered wind speed of each of the filtered wind speeds and determining a maximum filtered wind speed and a minimum filtered wind speed from each of the filtered wind speeds; The operating status of the wind turbine generator set is determined according to the first average filtered wind speed, the maximum filtered wind speed and the minimum filtered wind speed.

3. The method according to claim 2, characterized in that The determining the operating status of the wind turbine generator set according to the first average filtered wind speed, the maximum filtered wind speed and the minimum filtered wind speed includes: When the maximum filtered wind speed is greater than a first wind speed threshold, the difference between the first average filtered wind speed and the minimum filtered wind speed is greater than a second wind speed threshold, and the first average filtered wind speed is greater than the second average filtered wind speed, the operating condition is determined to be a target condition, the second average filtered wind speed is the average filtered wind speed corresponding to the area in a second time period, and the second time period is the time period before the first time period.

4. The method according to claim 1, characterized in that: When the operating condition is the target condition and the self-protection function of the wind turbine generator set is turned off, turning on the self-protection function of the wind turbine generator set and controlling the wind turbine generator set to execute the first control strategy includes: When the operating condition is the target condition and the self-protection function of the wind turbine generator set is turned off, turning on the self-protection function of the wind turbine generator set, and controlling the wind turbine generator set to operate for a first duration according to a second control strategy, where the second control strategy is a control strategy used before the self-protection function of the wind turbine generator set is turned on; When the first time period ends, determining a third average filtered wind speed and a maximum filtered wind speed corresponding to the area in a third time period; The wind turbine generator set is controlled to execute the first control strategy according to the third average filtered wind speed and the maximum filtered wind speed corresponding to the area in the third time period.

5. The method according to claim 4, characterized in that The controlling the wind turbine generator set to execute the first control strategy according to the third average filtered wind speed and the maximum filtered wind speed corresponding to the region in the third time period includes: When the third average filtered wind speed and the maximum filtered wind speed corresponding to the region in the third time period meet at least one of the following conditions, the wind turbine generator set is controlled to execute the first control strategy: The third average filtered wind speed is greater than or equal to a fourth average filtered wind speed, the fourth average filtered wind speed is the average filtered wind speed corresponding to the area in a fourth time period, and the fourth time period is a time period before the third time period; The maximum filtered wind speed corresponding to the area in the third time period is greater than or equal to the first wind speed threshold.

6. The method according to any one of claims 1 to 5, characterized in that: The controlling the wind turbine generator set to execute a first control strategy includes: When the self-protection function of the wind turbine generator set is turned on, obtaining the real-time wind speed in the area; When the real-time wind speed is greater than a third wind speed threshold, determining a pitch angle threshold according to a preset clearance distance between the blades of the wind turbine generator set and the tower, and determining a minimum pitch angle of the wind turbine generator set according to the pitch angle threshold; The wind turbine generator set is subjected to pitch control according to the minimum pitch angle and the second time duration.

7. The method according to claim 6, characterized in that The method further comprises: During the second time period, if the difference between the real-time wind speed and the third wind speed threshold meets the wind speed fluctuation condition, re-timing the second time period; When the second time duration ends, determine the fifth average filtered wind speed corresponding to the area in the fifth time period, and the fifth time period is the time period before the end of the second time duration; when the fifth average filtered wind speed is less than the fourth wind speed threshold, determine the optimal pitch angle according to the real-time wind speed, and perform pitch control on the wind turbine set according to the optimal pitch angle.

8. The method according to any one of claims 1 to 5, characterized in that: The wind speed in the area where the wind turbine generator set is located in the first time period includes at least one of the following: The wind speed of the wind farm where the wind turbine is located in the first time period; The wind speed measured by the wind speed measurement system of the wind turbine generator set in the first time period; The wind speed in the area where the adjacent wind turbines are located during the first time period; The wind speed in the first time period in the area where the wind turbine generator set is located has a similarity greater than or equal to a similarity threshold with respect to the operating status of the wind turbine generator set.

9. A control device for a wind turbine generator set, characterized in that: include: An acquisition module, used for acquiring the wind speed in the area where the wind turbine is located in a first time period; A determination module, used to determine the operating status of the wind turbine according to the wind speed; A control module is used to turn on the self-protection function of the wind turbine set and control the wind turbine set to execute a first control strategy when the operating condition is a target condition and the self-protection function of the wind turbine set is turned off; wherein the data information related to the weather conditions in the target condition meets a preset severe trigger condition, and the first control strategy is used to enable the wind turbine set to operate safely under the target condition.

10. A control system for a wind turbine generator system, characterized in that: include: A field-level controller, a wind turbine controller, a pitch control system, a wind speed measurement system and a memory, wherein the wind turbine controller is connected to the field-level controller, and the pitch control system, the wind speed measurement system and the memory are respectively connected to the wind turbine controller; The memory stores computer program instructions; When the computer program instructions are executed by the wind turbine controller, the method according to any one of claims 1 to 8 is implemented.

11. A computer-readable storage medium having computer program instructions stored thereon, characterized in that: When the computer program instructions are executed by a processor, the method according to any one of claims 1 to 8 is implemented.

12. A computer program product, characterized in that The method comprises a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 8 is implemented.

Citation Information

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