CN109944749B - Extreme turbulence identification method, device, equipment and computer readable storage medium - Google Patents
Extreme turbulence identification method, device, equipment and computer readable storage medium Download PDFInfo
- Publication number
- CN109944749B CN109944749B CN201711396644.7A CN201711396644A CN109944749B CN 109944749 B CN109944749 B CN 109944749B CN 201711396644 A CN201711396644 A CN 201711396644A CN 109944749 B CN109944749 B CN 109944749B
- Authority
- CN
- China
- Prior art keywords
- rotating speed
- wind generating
- generating set
- working condition
- speed value
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 56
- 238000001514 detection method Methods 0.000 claims abstract description 55
- 238000005070 sampling Methods 0.000 claims abstract description 13
- 230000001276 controlling effect Effects 0.000 claims description 44
- 230000001105 regulatory effect Effects 0.000 claims description 17
- 238000004590 computer program Methods 0.000 claims description 12
- 238000012544 monitoring process Methods 0.000 claims description 4
- 238000004088 simulation Methods 0.000 claims description 3
- 230000008859 change Effects 0.000 description 17
- 238000011217 control strategy Methods 0.000 description 14
- 238000010586 diagram Methods 0.000 description 14
- 238000013461 design Methods 0.000 description 8
- 230000008569 process Effects 0.000 description 7
- 238000005452 bending Methods 0.000 description 5
- 230000006870 function Effects 0.000 description 5
- 230000009467 reduction Effects 0.000 description 5
- 230000009471 action Effects 0.000 description 3
- 238000010248 power generation Methods 0.000 description 3
- 230000001960 triggered effect Effects 0.000 description 3
- 238000001914 filtration Methods 0.000 description 2
- 230000007774 longterm Effects 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 230000036962 time dependent Effects 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/72—Wind turbines with rotation axis in wind direction
Landscapes
- Wind Motors (AREA)
Abstract
The embodiment of the invention discloses an extreme turbulence identification method, an extreme turbulence identification device, extreme turbulence identification equipment and a computer readable storage medium, wherein the identification method comprises the following steps: in the current detection period, acquiring a rotating speed value of the wind generating set according to a preset sampling period; recording the number of the rotating speed values obtained in the current detection period, which are greater than a set rotating speed value; and if the number recorded in the current detection period is larger than a set value, judging that the wind generating set is in an extreme turbulence working condition. By the embodiment of the invention, the identification efficiency and accuracy of the extreme turbulence working condition can be effectively improved.
Description
Technical Field
The invention relates to the technical field of wind generating sets, in particular to an extreme turbulence identification method, an extreme turbulence identification device, extreme turbulence identification equipment and a computer readable storage medium.
Background
In order to ensure the safety and long-term stable and reliable operation of the wind generating set, the design of the wind generating set needs to consider the influences of the operating environment conditions and the power environment, and the influences are mainly reflected in the aspects of load, service life, normal work and the like. Various environmental conditions are classified into normal external conditions and extreme external conditions (e.g., turbulent conditions, etc.), wherein the normal external conditions relate to long-term fatigue loads and operating conditions. Extreme external conditions have few opportunities to occur, but are potentially critical external design conditions. Wind turbine load design requires consideration of both these external conditions and the wind turbine operating mode.
The turbulence intensity has a great influence on the performance and the life of the wind turbine generator system. In the wind turbine generator system design specifications based on International Electrotechnical Commission (IEC) 61400-1, third Edition (3rd Edition), Design Load Cases (DLC) 1.1 and 1.2 contain load requirements caused by atmospheric turbulence under normal operating conditions during the life of the wind turbine, and DLC1.3 contains the maximum load requirements caused by extreme turbulence, thereby verifying that the wind turbine generator system does not exceed the design range in this extreme state. However, under the condition of extreme turbulent wind, the extreme load suffered by the key components of the wind generating set is not beneficial to the operation of the wind generating set, so that the control strategy adjustment based on the extreme turbulent model is necessary to ensure that the load of the wind generating set is reduced as much as possible under the condition of extreme turbulent.
At present, an anemometer is generally used for measuring wind speed to estimate turbulence intensity, but because the anemometer has errors in measurement and various interferences exist in measurement of a wind speed signal, the accuracy of an estimation result of turbulence intensity estimation based on the wind speed measured by the anemometer is poor.
Disclosure of Invention
The embodiment of the invention provides an extreme turbulence identification method, an extreme turbulence identification device, extreme turbulence identification equipment and a computer readable storage medium, which can effectively improve the identification efficiency and accuracy of extreme turbulence working conditions.
According to an aspect of an embodiment of the present invention, there is provided an identification method of an extreme turbulent flow, the identification method including:
in the current detection period, acquiring a rotating speed value of the wind generating set according to a preset sampling period;
recording the number of the rotating speed values which are obtained in the current detection period and are larger than the set rotating speed value;
and if the number of the records in the current detection period is larger than a set value, judging that the wind generating set is in an extreme turbulence working condition.
According to an aspect of the embodiment of the invention, after determining that the wind generating set is in the extreme turbulence condition, the method further includes:
regulating and controlling the wind generating set according to at least one of the following strategies:
controlling the rated power of the wind generating set to be adjusted to the set power, controlling the rated rotating speed of the wind generating set to be adjusted to the set rotating speed, and controlling the minimum pitch angle of the wind generating set to be adjusted to the set pitch angle.
According to an aspect of the embodiment of the invention, controlling the rated power of the wind turbine generator to be adjusted down to the set power includes controlling the rated power of the wind turbine generator to be adjusted down to the set power at a preset rate.
According to an aspect of the embodiment of the invention, after the wind turbine generator system is regulated according to at least one of the following strategies, the method further comprises:
recording the running time of the wind generating set in the running state after regulation and control;
and if the operation time length is not less than the set time length, controlling the wind generating set to be recovered to the operation state before control from the operation state after regulation and control, and entering the next detection period.
According to an aspect of an embodiment of the invention, the method further comprises:
based on historical wind resource parameters of the region where the wind generating set is located, simulating according to a standard normal turbulence working condition and a standard extreme turbulence working condition;
respectively counting a first rotating speed value of the wind generating set corresponding to a standard normal turbulence working condition and a second rotating speed value of the wind generating set corresponding to a standard extreme turbulence working condition in a detection period;
and determining a set rotating speed value according to the first rotating speed value and/or the second rotating speed value.
According to an aspect of an embodiment of the invention, determining the set rotation speed value based on the first rotation speed value and/or the second rotation speed value comprises:
the maximum value among the first rotation speed values is determined as a set rotation speed value.
According to an aspect of an embodiment of the invention, the method further comprises:
respectively determining the number of first rotating speeds which are larger than a set rotating speed value in the first rotating speed value and the number of second rotating speeds which are larger than the set rotating speed value in the second rotating speed value;
and determining a set value according to the first rotating speed number and the second rotating speed number, wherein the set value is greater than the first rotating speed number and less than the second rotating speed number.
According to another aspect of embodiments of the present invention, there is provided an identification apparatus of extreme turbulence, the identification apparatus comprising:
the rotating speed acquisition module is used for acquiring a rotating speed value of the wind generating set according to a preset sampling period in the current detection period;
the fluctuating rotating speed recording module is used for recording the number of rotating speed values which are larger than a set rotating speed value in the rotating speed values acquired in the current detection period;
and the extreme turbulence working condition judgment module is used for judging that the wind generating set is in an extreme turbulence working condition when the number of records in the current detection period is greater than a set value.
According to another aspect of the embodiment of the present invention, the identification apparatus further includes:
the extreme turbulence working condition regulation and control module is used for regulating and controlling the wind generating set according to at least one of the following strategies after judging that the wind generating set is in the extreme turbulence working condition:
controlling the rated power of the wind generating set to be adjusted to the set power, controlling the rated rotating speed of the wind generating set to be adjusted to the set rotating speed, and controlling the minimum pitch angle of the wind generating set to be adjusted to the set pitch angle.
According to another aspect of the embodiment of the invention, controlling the rated power of the wind turbine generator to be adjusted down to the set power includes controlling the rated power of the wind turbine generator to be adjusted down to the set power at a preset rate.
According to another aspect of the embodiment of the present invention, the identification apparatus further includes:
the regulation and control monitoring module is used for recording the operation duration of the wind generating set in the operation state after regulation and control after the wind generating set is regulated and controlled according to at least one of the following strategies;
and the extreme turbulence working condition regulation and control module is also used for controlling the wind generating set to recover from the regulated running state to the regulated running state before the regulation and enter the next detection period when the running time is not less than the set time.
According to another aspect of the embodiment of the present invention, the identification apparatus further includes:
and the threshold value determining module is used for simulating according to a standard normal turbulence working condition and a standard extreme turbulence working condition based on the historical wind resource parameter of the area where the wind generating set is located, respectively counting a first rotating speed value of the wind generating set corresponding to the standard normal turbulence working condition and a second rotating speed value of the wind generating set corresponding to the standard extreme turbulence working condition in a detection period, and determining a set rotating speed value according to the first rotating speed value and/or the second rotating speed value.
According to another aspect of the embodiment of the invention, the threshold determination module is specifically configured to determine a maximum value of the first rotation speed values as the set rotation speed value.
According to another aspect of the embodiment of the present invention, the threshold determining module is further configured to determine a first number of rotation speeds greater than the set rotation speed value in the first rotation speed value and a second number of rotation speeds greater than the set rotation speed value in the second rotation speed value, respectively, and determine the set value according to the first number of rotation speeds and the second number of rotation speeds, where the set value is greater than the first number of rotation speeds and less than the second number of rotation speeds.
The embodiment of the invention also provides identification equipment of the extreme turbulence, which comprises a memory and a processor;
the memory stores computer program code;
the processor is adapted to read the computer program code to run a computer program corresponding to the computer program code to implement the method of identification of extreme turbulence as in any of the embodiments of the invention.
Embodiments of the present invention also provide a computer-readable storage medium comprising computer program instructions which, when run on a computer, cause the computer to perform a method of identifying extreme turbulence as in any of the embodiments of the present invention.
According to the extreme turbulence identification method, the extreme turbulence identification device, the extreme turbulence identification equipment and the computer readable storage medium, the rotating speed of the wind generating set which is important input in the control strategy of the wind generating set is adopted to identify the working condition of the extreme turbulence, and the wind generating set is the power input equipment of the wind generating set, so that compared with the existing mode of evaluating the turbulence intensity based on the wind speed measured by an anemometer, the extreme turbulence identification method, the extreme turbulence identification device and the wind generating set identification equipment can identify whether the wind generating set is in the extreme turbulence working condition more quickly and accurately, and support is provided for adjustment of the control strategy of the wind generating set under the extreme turbulence working condition.
Drawings
Other features, objects and advantages of the invention will become apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings in which like or similar reference characters refer to the same or similar parts.
Fig. 1 shows a schematic flow diagram of a method for identifying extreme turbulence according to an embodiment of the invention;
FIG. 2 is a schematic diagram illustrating a variation of a rotation speed of a wind turbine generator set with time under an extreme turbulence condition according to an embodiment of the present invention;
FIG. 3 is a schematic diagram illustrating a variation of a speed of a wind turbine generator over time under a normal turbulent condition in an exemplary embodiment of the present invention;
fig. 4 shows a flow diagram of a method of identifying extreme turbulence provided in accordance with another embodiment of the invention;
FIG. 5 is a schematic view showing a time-dependent variation curve of a blade root bending moment when an extreme turbulence regulation strategy is activated under an extreme turbulence condition in an exemplary embodiment of the present invention;
FIG. 6 is a schematic diagram illustrating a change curve of a blade root bending moment with time when an extreme turbulence regulation strategy is not started under an extreme turbulence condition according to an embodiment of the present invention;
fig. 7 shows a schematic structural view of an identification device of extreme turbulence provided in an embodiment according to the invention;
fig. 8 shows a schematic structural view of an identification device of extreme turbulence provided in accordance with another embodiment of the present invention;
fig. 9 shows a schematic structural view of an identification device of extreme turbulence provided in accordance with a further embodiment of the invention;
fig. 10 shows a schematic structural view of an identification device of extreme turbulence provided in accordance with a further embodiment of the present invention;
fig. 11 illustrates a block diagram of an exemplary hardware architecture of a computing device that may implement the extreme turbulence identification method and apparatus according to embodiments of the invention.
Detailed Description
Features and exemplary embodiments of various aspects of the present invention will be described in detail below. In the following detailed description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present invention by illustrating examples of the present invention. The present invention is in no way limited to any specific configuration and algorithm set forth below, but rather covers any modification, replacement or improvement of elements, components or algorithms without departing from the spirit of the invention. In the drawings and the following description, well-known structures and techniques are not shown in order to avoid unnecessarily obscuring the present invention.
Turbulence Intensity (TI) generally refers to the magnitude of random variation of wind speed within 10 minutes, is the ratio of the standard deviation of the average wind speed within 10 minutes to the average wind speed in the same period, and is the normal fatigue load borne by the wind turbine generator system during operation. With the increase of TI, the fatigue loads of important parts of the wind turbine generator set also increase. Therefore, the extreme turbulence working condition of the wind generating set needs to be monitored, so that the control strategy conversion of the wind generating set is realized under the extreme turbulence working condition, and the load of the wind generating set under the extreme turbulence working condition is reduced.
Fig. 1 shows a schematic flow chart of an identification method of extreme turbulence according to an embodiment of the present invention. As shown in fig. 1, the identification method may mainly include the following steps:
step S110: and in the current detection period, acquiring the rotating speed value of the wind generating set according to a preset sampling period.
The rotating speed of the wind generating set is closely related to the change of the wind speed, and the rotating speed of the set is adjusted correspondingly with the change of the wind speed, so that the change of the turbulence of the area where the wind generating set is located can be evaluated based on the change of the rotating speed of the wind generating set. Because the wind driven generator is a power input device of the wind driven generator set, the rotating speed of the wind driven generator set is used as an important input in a control strategy of the wind driven generator set, the change condition of the wind speed can be reflected in real time, and the rotating speed signal is more accurate compared with the wind speed signal acquired by the anemoscope, so that the rotating speed of the wind driven generator set can more accurately evaluate the change of the turbulence intensity and accurately identify the extreme turbulence working condition.
Because the extreme turbulence working condition belongs to the short-time extreme working condition, the embodiment of the invention respectively judges whether the extreme turbulence working condition occurs in each detection period by setting the detection period. The detection period is preferably an integer multiple of the sampling period.
In the embodiment of the invention, the mode of acquiring the rotating speed value of the wind generating set can be selected according to the actual application requirement. For example, the rotation speed value of the wind generating set may be directly acquired by a rotation speed sensor, or the rotation speed value of the wind generating set fed back by a converter of the wind generating set may be directly acquired.
It can be understood that before the identification of the extreme turbulence working condition is performed based on the acquired rotating speed value of the wind generating set, the acquired rotating speed value of the wind generating set can be preprocessed firstly, so that the influence of interference signals on the rotating speed of the wind generating set is reduced, and the accuracy of the rotating speed for identifying the extreme turbulence working condition is improved. The preprocessing may include, but is not limited to, filtering, and the like, and the filtering attenuates signals of certain frequencies in the rotation speed signal so as to reduce interference of the signals on the rotation speed signal.
Step S120: and recording the number of the rotating speed values which are greater than the set rotating speed value in the rotating speed values acquired in the current detection period.
Step S130: and if the number of the records in the current detection period is larger than a set value, judging that the wind generating set is in an extreme turbulence working condition.
It can be understood that the set value is not greater than an integer value in a result obtained by dividing the detection period by the sampling period, that is, the set value cannot be greater than the total number of the rotational speed values of the wind turbine generator system acquired in one detection period.
In the design specification of the wind generating set of IEC 61400-13 rd Edition, an Extreme Turbulence Model (ETM) is defined, turbulence intensity reflects fluctuation of wind speed, and the larger the turbulence intensity is, the more unstable the airflow is, the larger the fluctuation is, and the larger the load suffered by the wind generating set is. Compared with the normal turbulent flow working condition, the wind speed can generate a plurality of times of larger fluctuation in a short time, so that the short-time multiple changes of the rotating speed of the wind generating set are caused, therefore, the number of the rotating speed values of the wind generating set, which are generated in the current detection period, which are larger than the set rotating speed value can be recorded at the beginning of each detection period, if the number of the wind generating set, which is recorded in the detection period, is not larger than the set value at the end of the current detection period, the region where the wind generating set is located is in a relatively stable state in the current detection period, the extreme turbulent flow working condition can be judged not to be generated, the next detection period is entered at this moment, the rotating speed value of the wind generating set is continuously obtained according to the sampling period, and the number of the rotating speed values of the wind generating set, which, and judging whether an extreme turbulence working condition occurs or not according to the recorded number and the set value, thereby realizing continuous detection on whether the wind generating set is in the extreme turbulence working condition or not.
If the recorded number is larger than the set value when one current detection period is not finished, the wind speed is changed for a plurality of times in a short time in the current detection period, and the wind generating set can be judged to encounter an extreme turbulence working condition.
In the embodiment of the present invention, before recording the number of the rotation speed values greater than the set rotation speed value in the rotation speed values obtained in the current detection period, the identification method may further include:
based on historical wind resource parameters of the region where the wind generating set is located, simulating according to a standard normal turbulence working condition and a standard extreme turbulence working condition;
respectively counting a first rotating speed of the wind generating set corresponding to a standard normal turbulence working condition in a detection period and a second rotating speed of the wind generating set corresponding to a standard extreme turbulence working condition in the detection period according to a sampling period;
and determining the set rotating speed value according to the first rotating speed and/or the second rotating speed.
Specifically, in order to make the set rotating speed value more consistent with the actual condition of the area where the wind generating set is located and ensure that the control strategy of the extreme turbulence working condition (including but not limited to power reduction or rotating speed reduction or pitch control) is not triggered under the normal turbulence working condition, so that the wind generating set is in normal power generation and unnecessary power generation loss is avoided, in the embodiment of the invention, simulation of the normal turbulence working condition and the extreme turbulence working condition can be respectively carried out according to the historical wind resource parameters (but not limited to the parameters of average wind speed, air density, wind speed frequency distribution, wind energy frequency distribution and the like at different periods) of the area and according to the normal turbulence model and the extreme turbulence working condition model of the IEC standard, and a plurality of rotating speed values of the wind generating set under two working conditions in one detection period are respectively recorded in a statistical manner according to, and determining a set rotating speed value according to the recorded multiple first rotating speed values under the normal turbulence working condition and/or multiple second rotating speed values under the extreme turbulence working condition.
In the embodiment of the present invention, determining the set rotation speed value according to the first rotation speed and/or the second rotation speed includes:
the maximum value among the first rotation speed values is determined as a set rotation speed value.
The maximum value in the first rotating speed value is determined as the set rotating speed value, and then the corresponding set value is configured, so that the situation that the normal turbulence working condition is determined as the extreme turbulence working condition can be avoided, and the problem that the generated energy of the wind generating set is reduced due to the triggering of the extreme turbulence working condition regulation strategy is avoided.
In an embodiment of the present invention, after determining the set rotation speed value according to the first rotation speed value and/or the second rotation speed value, the identification method may further include:
respectively determining the number of first rotating speeds which are larger than a set rotating speed value in the first rotating speed value and the number of second rotating speeds which are larger than the set rotating speed value in the second rotating speed value;
and determining a set value according to the first rotating speed number and the second rotating speed number, wherein the set value is greater than the first rotating speed number and less than the second rotating speed number.
After the set rotating speed value is determined, the number of the first rotating speeds which are greater than the set rotating speed value in the first rotating speed value (corresponding to the normal turbulence working condition) and the number of the second rotating speeds which are greater than the set rotating speed value in the second rotating speed value (corresponding to the extreme turbulence working condition) can be respectively obtained through statistics.
In the embodiment of the invention, the set value is configured to be a value which is larger than the first rotating speed number, so that the problem that the generated energy of the wind generating set is reduced because the normal turbulence working condition is judged to be an extreme turbulence working condition and the regulation strategy under the extreme turbulence working condition is triggered is solved.
In an optional embodiment of the invention, a normal turbulence working condition and an extreme turbulence working condition of the wind generating set can be designed, and the design working conditions can be a normal turbulence working condition and an extreme turbulence working condition under the rated wind speed of the wind generating set, or a normal turbulence working condition and an extreme turbulence working condition under each wind speed section from the cut-in wind speed to the cut-out wind speed of the wind generating set. When the normal turbulence working condition and the extreme turbulence working condition of each wind speed section from the cut-in wind speed to the cut-out wind speed of the wind generating set are designed, a first rotating speed value of the wind generating set corresponding to the normal turbulence working condition of each wind speed section in a detection period and a second rotating speed value of the wind generating set corresponding to the extreme turbulence working condition of each wind speed section can be respectively counted according to a sampling period, a rotating speed range which is larger than the maximum rotating speed in the first rotating speed values and smaller than the maximum rotating speed in the second rotating speed values in each wind speed section can be obtained by respectively comparing the first rotating speed value and the second rotating speed value corresponding to each wind speed section, and a set rotating speed value can be determined according to the rotating speed range corresponding to each wind speed section.
Because each wind speed section of the wind speed sections does not have the condition that the rotating speed of the wind generating set is greater than the minimum value of the rotating speed range under the normal turbulence working condition and the rotating speed of the wind generating set is greater than the maximum value of the rotating speed range under the extreme turbulence working condition, the set rotating speed value for identifying the extreme turbulence working condition can be determined according to the rotating speed range under each wind speed section, the determined set rotating speed value is more consistent with the regional environment of the wind generating set, the identification result of the extreme turbulence working condition is more accurate, and the number of the rotating speed values greater than the set rotating speed value under the normal turbulence working condition is not more than the set value by setting the set value, so that the wind generating set is not identified as the extreme turbulence working condition under the normal turbulence working condition, and the conditions that the extreme turbulence working condition regulation strategy is triggered are avoided, Resulting in a loss of power generation.
In practical applications, the specific manner of determining the set rotation speed value according to the rotation speed range corresponding to each wind speed segment may be various, for example, one rotation speed value in the rotation speed range corresponding to one of the wind speed segments may be selected as the set rotation speed value, the minimum rotation speed value in the rotation speed range corresponding to each wind speed value may be used as the set rotation speed value, the minimum rotation speed value in all the rotation speed ranges may be averaged or the maximum rotation speed value may be averaged, the calculated average value may be used as the set speed value, one rotation speed value or the minimum rotation speed value in the rotation speed range corresponding to the wind speed value closest to the average value of the cut-in wind speed and the cut-out wind speed may be used as the set rotation speed value, one rotation speed value in the rotation speed range corresponding to the wind speed segment closest to the rated wind speed of the wind turbine generator set may be used as the set rotation speed value, and the like.
It will be appreciated that in practical applications, the set rotational speed value may also be set directly from empirical values.
As a specific example, FIG. 2 and FIG. 3 show a wind speed segment with a detection period of 600S and a sampling period of 0.02S, respectivelyThe schematic diagram of the change curve of the rotating speed of the wind generating set along with time under the working condition of extreme turbulence and the schematic diagram of the change curve of the rotating speed of the wind generating set along with time under the working condition of normal turbulence are shown, wherein the abscissa in the figure represents time in seconds, and the ordinate represents the rotating speed of the wind generating set in revolutions per minute. As can be seen from FIGS. 2 and 3, the rotational speed V is shown0I.e. a rotation speed threshold value which is greater than the maximum rotation speed in the first rotation speed values corresponding to the normal turbulent flow working conditions and less than the maximum rotation speed in the second rotation speed values corresponding to the extreme turbulent flow working conditions, therefore, V can be converted into V0As a set rotational speed value that can be used to identify extreme turbulence conditions.
Furthermore, as can be seen from fig. 2 and 3, in this specific example, there are 4 rotation speeds greater than the set rotation speed value in the extreme turbulent condition, and the rotation speed greater than the set rotation speed value in the normal turbulent condition is zero, so the set value may be set to 3 in this specific example.
Compared with the mode of evaluating regional turbulence based on the wind speed measured by an anemometer, the method for identifying the extreme turbulence of the embodiment of the invention adopts the rotating speed of the wind generating set which is important input in the control strategy of the wind generating set to evaluate, can quickly and accurately identify whether the wind generating set is in the extreme turbulence working condition, provides support for the adjustment of the control strategy of the wind generating set under the extreme turbulence working condition, can control the wind generating set to quickly adjust under the extreme turbulence working condition, and reduces the load born by the wind generating set.
Fig. 4 shows a flow diagram of a method for identifying extreme turbulence in another embodiment of the present invention. As shown in fig. 4, after determining that the wind turbine generator system is in an extreme turbulence condition, the identification method in the embodiment of the present invention may further include:
step S140: and regulating and controlling the wind generating set according to a preset extreme turbulence regulation and control strategy.
In order to reduce the limit load of the wind generating set under the extreme turbulence working condition so as to prolong the service life of the wind generating set, in the embodiment of the invention, when the wind generating set is judged to be under the extreme turbulence working condition, the wind generating set needs to be regulated according to an extreme turbulence regulation strategy so as to reduce the load of the wind generating set.
It should be noted that, in practical application, whether the extreme turbulence regulation and control strategy is started or not may be set according to a practical application scenario, that is, after it is determined that the wind turbine generator system is in an extreme turbulence working condition, whether the extreme turbulence regulation and control strategy is started or not is determined, if the extreme turbulence regulation and control strategy is started, the wind turbine generator system is correspondingly regulated and controlled according to the extreme turbulence regulation and control strategy, and if the extreme turbulence regulation and control strategy is not started, the regulation and control process is not performed, so that the practical application requirements are better met.
In embodiments of the present invention, the extreme turbulence regulation strategy may include, but is not limited to, at least one of the following strategies:
controlling the rated power of the wind generating set to be adjusted to the set power, controlling the rated rotating speed of the wind generating set to be adjusted to the set rotating speed, and controlling the minimum pitch angle of the wind generating set to be adjusted to the set pitch angle.
The change of the output power of the wind generating set can bring about the fluctuation of the load, so that under the working condition of extreme turbulence, the load born by the wind generating set can be reduced by directly controlling and reducing the rated power of the wind generating set.
When the wind speed is lower than the rated wind speed of the wind generating set, the rotating speed of the wind generating set is increased along with the increase of the wind speed until the rotating speed reaches the rated rotating speed of the wind generating set, the rotating speed is increased, and the output power of the wind generating set is correspondingly increased, so that the load born by the wind generating set can be regulated and controlled by reducing the rated rotating speed of the wind generating set.
The pitch angle of the blades of the wind generating set can be automatically adjusted along with the change of the wind speed, the minimum pitch angle is the minimum angle which the pitch angle of the blades can change to, under the extreme turbulence working condition, the wind speed can change for a plurality of times within a short time, so the pitch angle can correspondingly change for a plurality of times within an angle range between a certain angle value (the angle value can be different according to the different working conditions of the wind generating set) and the minimum pitch angle, the load born by the wind generating set is increased, therefore, the minimum pitch angle of the wind generating set can be adjusted upwards, the angle change amplitude of the pitch angle during the change is reduced, and the purpose of reducing the load of the wind generating set under the extreme turbulence working condition is achieved by limiting the change amplitude of the pitch angle.
In an optional embodiment of the present invention, the controlling the output power of the wind turbine generator system to be adjusted from the rated power to the set power comprises: and controlling the rated power of the wind generating set to be adjusted to the set power according to a preset rate.
In order to further reduce the load borne by the wind generating set in the process of regulating and controlling the output power of the wind generating set, the output power of the wind generating set can be gradually reduced from the rated power to the set power according to the preset rate.
As a specific example, fig. 5 and fig. 6 respectively show a schematic diagram of a variation curve of a blade root bending moment of the wind turbine generator set in two different states of turning on the power reduction function (i.e. controlling the rated power of the wind turbine generator set to be reduced to a set power) and turning off the power reduction function under an extreme turbulence condition, wherein an abscissa represents time in seconds and an ordinate represents the blade root bending moment (My) in kilonewton meters. As can be seen from fig. 5 and 6, the blade root bending moment of the wind turbine generator set can be effectively reduced by turning on the power reduction function, and the load borne by the wind turbine generator set is reduced.
In the embodiment of the invention, after the wind generating set is regulated according to the preset extreme turbulence regulation strategy, the method further comprises the following steps:
recording the running time of the wind generating set in the running state after regulation and control;
and if the operation time length is not less than the set time length, controlling the wind generating set to be recovered to the operation state before regulation from the operation state after regulation, and entering the next detection period.
In the embodiment of the invention, because the extreme turbulence working condition is generally a short-time working condition, in order to reduce the loss of the generated energy caused by the regulation and control of the extreme turbulence working condition, the regulation and control duration needs to be set, and when the operation duration of the wind generating set in the operation state after the regulation and control is longer than the set duration, the wind generating set is controlled to be restored to the operation state before the regulation and control so as to ensure the generated energy of the wind generating set. And after controlling the wind generating set to recover from the operation state after regulation to the operation state before regulation, directly entering the next detection period, continuously acquiring the rotating speed of the wind generating set according to the acquisition period, and recording the number of the wind speeds acquired in the current detection period (namely the next detection period) which are larger than the set rotating speed value, thereby realizing continuous judgment and identification of the extreme turbulence working condition.
Fig. 7 shows a schematic structural diagram of an identification device for extreme turbulence in an embodiment of the present invention. As shown in fig. 7, the identification apparatus 100 according to the embodiment of the present invention may include a rotation speed obtaining module 110, a fluctuating rotation speed recording module 120, and an extreme turbulent condition determining module 130.
And a rotation speed obtaining module 110, configured to obtain a rotation speed value of the wind turbine generator system according to a preset sampling period in a current detection period.
And the fluctuating rotating speed recording module 120 is configured to record the number of rotating speed values greater than the set rotating speed value in the rotating speed values obtained in the current detection period.
And the extreme turbulence working condition determining module 130 is configured to determine that the wind turbine generator system is in an extreme turbulence working condition when the number of records in the current detection period is greater than a set value.
Fig. 8 shows a schematic structural diagram of an identification device for extreme turbulence in an embodiment of the present invention. As shown in fig. 8, the identification apparatus 100 of the embodiment of the present invention may further include an extreme turbulence condition regulation module 140.
The extreme turbulence working condition regulation module 140 is configured to, after determining that the wind turbine generator system is in the extreme turbulence working condition, control the wind turbine generator system according to at least one of the following strategies:
controlling the rated power of the wind generating set to be adjusted to the set power, controlling the rated rotating speed of the wind generating set to be adjusted to the set rotating speed, and controlling the minimum pitch angle of the wind generating set to be adjusted to the set pitch angle.
In the embodiment of the invention, the step of controlling the rated power of the wind generating set to be adjusted to the set power comprises the step of controlling the rated power of the wind generating set to be adjusted to the set power according to the preset speed.
In the embodiment of the present invention, as shown in fig. 9, the identification apparatus 100 may further include a regulation monitoring module 150.
And the regulation and control monitoring module 150 is used for recording the operation duration of the wind generating set in the operation state after regulation and control after the wind generating set is controlled according to at least one of the following strategies.
Correspondingly, the extreme turbulence working condition regulation module 140 is further configured to control the wind turbine generator system to recover from the regulated operation state to the pre-regulated operation state and enter the next detection period when the operation duration is not less than the set duration.
In the embodiment of the present invention, as shown in fig. 10, the recognition apparatus 100 may further include a threshold determination module 160.
The threshold determination module 160 is configured to perform simulation according to a standard normal turbulence working condition and a standard extreme turbulence working condition based on a historical wind resource parameter of an area where the wind generating set is located, count a first rotation speed value of the wind generating set corresponding to the standard normal turbulence working condition and a second rotation speed value of the wind generating set corresponding to the standard extreme turbulence working condition in a detection period respectively, and determine a set rotation speed value according to the first rotation speed value and/or the second rotation speed value.
In the embodiment of the present invention, the threshold determining module 160 is specifically configured to determine a maximum value of the first rotation speed as the set rotation speed value.
In an embodiment of the present invention, the threshold determining module 160 is further configured to determine a first number of the first rotational speeds greater than the set rotational speed value and a second number of the second rotational speeds greater than the set rotational speed value, and determine a set value according to the first number of the first rotational speeds and the second number of the second rotational speeds, where the set value is greater than the first number of the first rotational speeds and less than the second number of the second rotational speeds.
It is understood that the identification apparatus 300 for extreme turbulence according to the embodiment of the present invention may correspond to an implementation body of the identification method for extreme turbulence according to the embodiment of the present invention, and the above operations and/or functions of the modules of the identification apparatus 300 are respectively for implementing the corresponding processes of the identification method for extreme turbulence according to the embodiments of the present invention, and are not described herein again for brevity.
At least a portion of the method and apparatus for identifying extreme turbulence described in connection with fig. 1-10 in accordance with embodiments of the present invention may be implemented by a computing device. FIG. 11 shows a schematic block diagram of a computing device according to an embodiment of the invention. As shown in fig. 11, computing device 200 may include an input device 201, an input interface 202, a processor 203, a memory 204, an output interface 205, and an output device 206. The input interface 202, the processor 203, the memory 204, and the output interface 205 are connected to each other via a bus 210, and the input device 201 and the output device 206 are connected to the bus 210 via the input interface 202 and the output interface 205, respectively, and further connected to other components of the computing device 200. Specifically, the input device 201 receives input information from the outside and transmits the input information to the processor 203 through the input interface 202; the processor 203 processes the input information based on computer-executable instructions stored in the memory 204 to generate output information, stores the output information temporarily or permanently in the memory 204, and then transmits the output information to the output device 206 through the output interface 205; output device 206 outputs the output information outside of computing device 200 for use by the user.
That is, the computing device 200 shown in fig. 11 may be implemented as an extreme turbulence recognition device, which may include a memory 204 and a processor 203. The memory 204 is used for storing a computer program and the processor 203 is used for executing the computer program stored in the memory 204 to implement the method for identifying extreme turbulence in any of the above embodiments of the invention.
Embodiments of the present invention further provide a computer-readable storage medium, in which computer instructions are stored, and when the computer instructions are executed on a computer, the computer is caused to execute the method for identifying extreme turbulence according to any one of the above embodiments of the present invention.
The functional blocks shown in the above-described structural block diagrams may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, plug-in, function card, or the like. When implemented in software, the elements of the invention are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. Examples of a machine-readable medium include electronic circuits, semiconductor memory devices, ROM, flash memory, Erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, Radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
It should also be noted that the exemplary embodiments mentioned in this patent describe some methods or systems based on a series of steps or devices. However, the present invention is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, or may be performed in an order different from the order in the embodiments or simultaneously with several steps.
The present invention may be embodied in other specific forms without departing from its spirit or essential characteristics. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.
Claims (14)
1. A method for identifying extreme turbulence, the method comprising:
in the current detection period, acquiring a rotating speed value of the wind generating set according to a preset sampling period;
recording the number of the rotating speed values obtained in the current detection period, which are greater than a set rotating speed value;
if the number recorded in the current detection period is larger than a set value, judging that the wind generating set is in an extreme turbulence working condition;
wherein, the identification method further comprises:
based on the historical wind resource parameters of the area where the wind generating set is located, simulating according to a standard normal turbulence working condition and a standard extreme turbulence working condition;
respectively counting a first rotating speed value of the wind generating set corresponding to a standard normal turbulence working condition and a second rotating speed value of the wind generating set corresponding to a standard extreme turbulence working condition in one detection period;
and determining the set rotating speed value according to the first rotating speed value and/or the second rotating speed value.
2. The identification method according to claim 1, wherein after determining that the wind turbine generator set is in an extreme turbulence condition, the method further comprises:
regulating and controlling the wind generating set according to at least one of the following strategies:
and controlling the rated power of the wind generating set to be adjusted down to a set power, controlling the rated rotating speed of the wind generating set to be adjusted down to a set rotating speed, and controlling the minimum pitch angle of the wind generating set to be adjusted up to a set pitch angle.
3. The identification method of claim 2, wherein said controlling the rated power of the wind turbine generator set to be adjusted down to a set power comprises controlling the rated power of the wind turbine generator set to be adjusted down to the set power at a preset rate.
4. The identification method according to claim 3, wherein after the wind turbine generator set is regulated according to at least one of the following strategies, the method further comprises the following steps:
recording the running time of the wind generating set in the running state after regulation and control;
and if the operation time length is not less than the set time length, controlling the wind generating set to recover from the operation state after regulation to the operation state before control, and entering the next detection period.
5. An identification method according to claim 1, characterized in that said determining of said set rotation speed value from said first rotation speed value and/or said second rotation speed value comprises:
determining a maximum value of the first rotation speed values as the set rotation speed value.
6. The identification method of claim 5, further comprising:
respectively determining a first rotation speed number which is greater than the set rotation speed value in the first rotation speed value and a second rotation speed number which is greater than the set rotation speed value in the second rotation speed value;
and determining the set value according to the first rotating speed number and the second rotating speed number, wherein the set value is greater than the first rotating speed number and less than the second rotating speed number.
7. An identification device of extreme turbulence, characterized in that it comprises:
the rotating speed acquisition module is used for acquiring a rotating speed value of the wind generating set according to a preset sampling period in the current detection period;
the fluctuating rotating speed recording module is used for recording the number of rotating speed values which are larger than a set rotating speed value in the rotating speed values acquired in the current detection period;
the extreme turbulence working condition judging module is used for judging that the wind generating set is in an extreme turbulence working condition when the number recorded in the current detection period is larger than a set value;
the threshold value determining module is used for carrying out simulation according to a standard normal turbulence working condition and a standard extreme turbulence working condition on the basis of historical wind resource parameters of the area where the wind generating set is located; respectively counting a first rotating speed value of the wind generating set corresponding to a standard normal turbulence working condition and a second rotating speed value of the wind generating set corresponding to a standard extreme turbulence working condition in one detection period; and determining the set rotating speed value according to the first rotating speed value and/or the second rotating speed value.
8. The identification device of claim 7, further comprising:
the extreme turbulence working condition regulation and control module is used for regulating and controlling the wind generating set according to at least one of the following strategies after judging that the wind generating set is in the extreme turbulence working condition:
and controlling the rated power of the wind generating set to be adjusted down to a set power, controlling the rated rotating speed of the wind generating set to be adjusted down to a set rotating speed, and controlling the minimum pitch angle of the wind generating set to be adjusted up to a set pitch angle.
9. The identification device of claim 8 wherein said controlling the rated power of the wind turbine generator set to be adjusted down to a set power comprises controlling the rated power of the wind turbine generator set to be adjusted down to the set power at a preset rate.
10. The identification device of claim 8, further comprising:
the control monitoring module is used for recording the operation duration of the wind generating set in the operation state after the control after the wind generating set is controlled according to at least one of the following strategies;
and the extreme turbulence working condition regulation and control module is also used for controlling the wind generating set to recover from the operation state after regulation to the operation state before regulation and enter the next detection period when the operation duration is not less than the set duration.
11. Identification device according to claim 7,
the threshold determination module is specifically configured to determine a maximum value of the first rotation speed values as the set rotation speed value.
12. Identification device according to claim 11,
the threshold determination module is further configured to determine a first number of the first rotation speeds greater than the set rotation speed value and a second number of the second rotation speeds greater than the set rotation speed value, and determine the set value according to the first number of the first rotation speeds and the second number of the second rotation speeds, where the set value is greater than the first number of the first rotation speeds and less than the second number of the second rotation speeds.
13. An identification device of extreme turbulence, characterized in that the identification device comprises a memory and a processor;
the memory stores computer program code;
the processor is configured to read the computer program code to run a computer program corresponding to the computer program code to implement the identification method of extreme turbulence as claimed in any one of claims 1 to 6.
14. A computer-readable storage medium, comprising computer program instructions which, when run on a computer, cause the computer to carry out the method of identifying extreme turbulence of any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711396644.7A CN109944749B (en) | 2017-12-21 | 2017-12-21 | Extreme turbulence identification method, device, equipment and computer readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711396644.7A CN109944749B (en) | 2017-12-21 | 2017-12-21 | Extreme turbulence identification method, device, equipment and computer readable storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109944749A CN109944749A (en) | 2019-06-28 |
| CN109944749B true CN109944749B (en) | 2020-10-09 |
Family
ID=67005732
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711396644.7A Active CN109944749B (en) | 2017-12-21 | 2017-12-21 | Extreme turbulence identification method, device, equipment and computer readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109944749B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113931806B (en) * | 2020-06-29 | 2023-09-22 | 金风科技股份有限公司 | Wind generating set, control method, controller and control system thereof |
Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1410669A (en) * | 2002-11-13 | 2003-04-16 | 沈阳工业大学 | Megawatt grade wind generator set speed change and distance change control system |
| CN102251926A (en) * | 2010-07-15 | 2011-11-23 | 大唐南京自动化有限公司 | Turbulence suppression method of wind driven generator |
| CN102341597A (en) * | 2009-03-02 | 2012-02-01 | 苏司兰能源有限公司 | Method for monitoring wind turbines |
| CN102374120A (en) * | 2011-09-15 | 2012-03-14 | 新疆金风科技股份有限公司 | Control method and system for wind turbine generator system |
| CN102392785A (en) * | 2011-09-22 | 2012-03-28 | 南车株洲电力机车研究所有限公司 | Linearization technique of maximum power tracking curve of wind turbine |
| CN102782315A (en) * | 2009-12-23 | 2012-11-14 | 维斯塔斯风力***集团公司 | Method and apparatus for protecting wind turbines from damage |
| CN103758698A (en) * | 2014-01-22 | 2014-04-30 | 北京金风科创风电设备有限公司 | Rotating speed control method and system for wind turbine generator |
| CN105156272A (en) * | 2015-09-16 | 2015-12-16 | 国电联合动力技术有限公司 | Wind generator set turbulence wind condition control method |
| CN105201739A (en) * | 2015-09-17 | 2015-12-30 | 南车株洲电力机车研究所有限公司 | Load control method for wind generating set |
| CN106050559A (en) * | 2016-06-20 | 2016-10-26 | 大唐（赤峰）新能源有限公司 | Detecting method and device for wind turbine generator overspeed protection system |
| CN106089598A (en) * | 2016-06-02 | 2016-11-09 | 三重型能源装备有限公司 | A kind of wind power generator rotor detection method and system |
| CN106286128A (en) * | 2016-09-21 | 2017-01-04 | 华北电力大学 | The system frequency control method of a kind of off-load variable-speed wind-power unit and device |
| CN106385007A (en) * | 2016-09-26 | 2017-02-08 | Tcl空调器(中山)有限公司 | Protection method and device for the power supply control module of direct-current fan |
| CN106812658A (en) * | 2015-11-27 | 2017-06-09 | 中船重工(重庆)海装风电设备有限公司 | A kind of control method and device of wind power generating set |
| CN106870282A (en) * | 2017-03-30 | 2017-06-20 | 湘电风能有限公司 | Wind turbines load shedding control method under a kind of fitful wind |
-
2017
- 2017-12-21 CN CN201711396644.7A patent/CN109944749B/en active Active
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1410669A (en) * | 2002-11-13 | 2003-04-16 | 沈阳工业大学 | Megawatt grade wind generator set speed change and distance change control system |
| CN102341597A (en) * | 2009-03-02 | 2012-02-01 | 苏司兰能源有限公司 | Method for monitoring wind turbines |
| CN102782315A (en) * | 2009-12-23 | 2012-11-14 | 维斯塔斯风力***集团公司 | Method and apparatus for protecting wind turbines from damage |
| CN102251926A (en) * | 2010-07-15 | 2011-11-23 | 大唐南京自动化有限公司 | Turbulence suppression method of wind driven generator |
| CN102374120A (en) * | 2011-09-15 | 2012-03-14 | 新疆金风科技股份有限公司 | Control method and system for wind turbine generator system |
| CN102392785A (en) * | 2011-09-22 | 2012-03-28 | 南车株洲电力机车研究所有限公司 | Linearization technique of maximum power tracking curve of wind turbine |
| CN103758698A (en) * | 2014-01-22 | 2014-04-30 | 北京金风科创风电设备有限公司 | Rotating speed control method and system for wind turbine generator |
| CN105156272A (en) * | 2015-09-16 | 2015-12-16 | 国电联合动力技术有限公司 | Wind generator set turbulence wind condition control method |
| CN105201739A (en) * | 2015-09-17 | 2015-12-30 | 南车株洲电力机车研究所有限公司 | Load control method for wind generating set |
| CN106812658A (en) * | 2015-11-27 | 2017-06-09 | 中船重工(重庆)海装风电设备有限公司 | A kind of control method and device of wind power generating set |
| CN106089598A (en) * | 2016-06-02 | 2016-11-09 | 三重型能源装备有限公司 | A kind of wind power generator rotor detection method and system |
| CN106050559A (en) * | 2016-06-20 | 2016-10-26 | 大唐（赤峰）新能源有限公司 | Detecting method and device for wind turbine generator overspeed protection system |
| CN106286128A (en) * | 2016-09-21 | 2017-01-04 | 华北电力大学 | The system frequency control method of a kind of off-load variable-speed wind-power unit and device |
| CN106385007A (en) * | 2016-09-26 | 2017-02-08 | Tcl空调器(中山)有限公司 | Protection method and device for the power supply control module of direct-current fan |
| CN106870282A (en) * | 2017-03-30 | 2017-06-20 | 湘电风能有限公司 | Wind turbines load shedding control method under a kind of fitful wind |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109944749A (en) | 2019-06-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109312716B (en) | Method and system for controlling a wind turbine to manage edgewise blade vibrations | |
| TWI788290B (en) | Estimation of yaw misalignment for a wind turbine | |
| CN102648345B (en) | Control method for a wind turbine | |
| US20150176569A1 (en) | Monitoring system and a monitoring method for a wind turbine generator | |
| US9086337B2 (en) | Detecting a wake situation in a wind farm | |
| CA2898931A1 (en) | System and method for enhanced operation of wind parks | |
| CN109488528B (en) | Method and device for adjusting fan yaw system | |
| CN105654239B (en) | Method, device and system for identifying extreme wind condition of wind generating set | |
| US20230243337A1 (en) | Wind turbine generator system, and control method, controller and control system therefor | |
| WO2022048228A1 (en) | Load control method and apparatus for wind turbine generator system | |
| CN112796942B (en) | Control method, system, equipment and storage medium for pitch angle of wind turbine generator | |
| EP4293216A1 (en) | Wind turbine generator system control method and control device | |
| CN109944749B (en) | Extreme turbulence identification method, device, equipment and computer readable storage medium | |
| CN113626767A (en) | Fan power limit identification method, system, equipment and storage medium | |
| EP3737857B1 (en) | A method for controlling a wind energy farm taking wake effects into account | |
| CN114645824A (en) | Blade stall identification method and device for wind generating set | |
| CN114198267B (en) | Operation control method and system for wind generating set with extreme gusts | |
| WO2020193110A1 (en) | Detecting wind turbine performance change | |
| CN117836514A (en) | Identifying recurring free-flowing wind disturbances associated with a wind turbine | |
| CN112761868B (en) | Wind condition identification method and device, controller and wind generating set | |
| CN112943557B (en) | Wind power plant, wind generating set and method and equipment for predicting operation state of wind generating set | |
| CN111980853B (en) | Pitch control method and device and computer readable storage medium | |
| CN114692481A (en) | Tower sweeping risk early warning method, device, system, equipment and medium | |
| EP3406897B1 (en) | System and method for determining wind farm wake loss | |
| Noppe et al. | High frequent scada-based thrust load modeling of wind turbines |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |