CN114113683B - Monitoring method and system for fan anemoscope in wind farm and computer readable storage medium - Google Patents
Monitoring method and system for fan anemoscope in wind farm and computer readable storage medium Download PDFInfo
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- G—PHYSICS
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- G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
- G01P21/00—Testing or calibrating of apparatus or devices covered by the preceding groups
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- G—PHYSICS
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- G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
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Abstract
The embodiment of the invention provides a method and a system for monitoring a fan anemoscope in a wind power plant and a computer readable storage medium. The monitoring method comprises the following steps: acquiring space position information of each fan in a wind power plant and wind direction angles measured by anemometers of each fan, wherein the wind direction angles comprise current wind direction angles of each fan in an actual running state; selecting a target fan; determining each reference fan of the target fan based on the space position information of every two fans in the wind power plant; determining each abnormal judgment sector of the target fan based on the spatial position information of the target fan and each reference fan; determining an abnormal judgment sector where the target fan is currently located based on the current wind direction angle of the target fan; and carrying out anomaly monitoring on the anemoscope in the unit pair consisting of the target fan and the reference fan falling into the anomaly judgment sector where the target fan is located based on the current wind direction angle of the target fan and the reference fan falling into the anomaly judgment sector where the target fan is located.
Description
Technical Field
The embodiment of the invention relates to the technical field of wind power generation, in particular to a method and a system for monitoring a fan anemoscope in a wind power plant and a computer readable storage medium.
Background
Along with the gradual exhaustion of energy sources such as coal, petroleum and the like, people pay more attention to the utilization of renewable energy sources. Wind energy is becoming increasingly important worldwide as a clean renewable energy source. With the continuous development of wind power technology, fans are increasingly applied to power systems. Fans are large-scale devices that convert wind energy into electrical energy, and are typically located in areas where wind energy resources are abundant.
The anemoscope is an important part of the fan, and can be used for measuring the wind direction in real time, knowing the change condition of the wind direction in time and finishing the accurate wind alignment of the fan. The accuracy of the wind direction information measured by the anemometer is critical to the actual operation of the wind turbine. Therefore, how to perform anomaly monitoring on the anemometer of a wind turbine to ensure accuracy of measured wind direction information is a great technical challenge currently faced.
Disclosure of Invention
The embodiment of the invention aims to provide a monitoring method and a system for a wind vane of a wind power plant and a computer readable storage medium thereof, which can effectively solve the problem of fault diagnosis of the wind vane of the wind power plant.
One aspect of the embodiment of the invention provides a method for monitoring a fan anemoscope in a wind power plant. The method comprises the following steps: acquiring space position information of each fan in a wind power plant and wind direction angles measured by anemometers of each fan, wherein the wind direction angles comprise current wind direction angles of each fan in an actual running state; selecting a target fan; determining each reference fan of the target fan based on the space position information of every two fans in the wind power plant; determining each abnormal judgment sector of the target fan based on the spatial position information of the target fan and each reference fan; determining an abnormality judgment sector where the target fan is currently located based on the current wind direction angle of the target fan; and carrying out anomaly monitoring on the anemoscope in the unit pair formed by the target fan and the reference fan falling into the anomaly judgment sector where the target fan is located based on the current wind direction angle of the target fan and the reference fan falling into the anomaly judgment sector where the target fan is located.
Another aspect of the embodiment of the invention also provides a monitoring system of the wind vane of the wind power plant. The system comprises one or more processors for implementing the method for monitoring a wind vane in a wind farm as described above.
Yet another aspect of an embodiment of the present invention provides a computer-readable storage medium. The computer readable storage medium stores a program which, when executed by a processor, implements a method for monitoring a wind vane in a wind farm as described above.
According to the monitoring method of the fan anemoscope in the wind power plant, the system and the computer readable storage medium thereof, the reference fan of the target fan can be determined based on the space position information of the fan, the reference fan is simple and convenient to select, and the difficulty in selecting the reference fan is greatly reduced.
According to the monitoring method of the wind vane in the wind power plant, the system and the computer readable storage medium thereof, the real-time abnormality judgment sector where the target fan is located can be determined according to the real-time wind direction angle of the target fan, the corresponding reference fan falling into the real-time abnormality judgment sector is selected, and the wind vane abnormality monitoring can be carried out on a unit pair consisting of the target fan and the reference fan according to the real-time wind direction angle of the target fan and the selected corresponding reference fan, so that the problem of abnormality diagnosis of the deviation of the wind direction angles of the target fan and the reference fans in the corresponding abnormality judgment sector is effectively solved.
According to the monitoring method and system for the wind vane of the wind power plant and the computer readable storage medium, whether the wind vane of the wind power plant is abnormal or not can be identified and monitored on line in real time, so that the wind can be accurately directed by the wind, and the maximization of the generated energy of the wind is realized.
Drawings
FIG. 1 is a flow chart of a method of monitoring a wind vane in a wind farm in accordance with one embodiment of the present invention;
FIG. 2 is a specific step of determining each reference fan of a target fan based on spatial location information of two fans in a wind farm according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of various reference fans of a determined target fan according to one embodiment of the invention;
FIG. 4 is a flowchart showing the steps for determining each anomaly determination sector of a target blower based on spatial location information of the target blower and each reference blower, in accordance with one embodiment of the present invention;
FIG. 5 is a schematic diagram of determining each anomaly determination sector of a target blower according to an embodiment of the present invention;
FIG. 6 is a specific step of determining whether an anomaly exists in a anemoscope in a set pair consisting of a target fan and a reference fan that falls into an anomaly determination sector where the target fan is currently located, in accordance with one embodiment of the present invention;
FIG. 7 is a flowchart showing steps for obtaining a set threshold value for each anomaly determination sector, according to an embodiment of the present invention;
FIG. 8 is a flow chart of a method of monitoring a wind vane in a wind farm in accordance with another embodiment of the present invention;
FIG. 9 is a schematic diagram of power curves of a target fan and a reference fan in a unit pair according to an embodiment of the invention;
FIG. 10 is a schematic block diagram of a monitoring system for a wind vane in a wind farm in accordance with one embodiment of the invention.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatus consistent with aspects of the invention as detailed in the accompanying claims.
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. Unless defined otherwise, technical or scientific terms used in the embodiments of the present invention should be given the ordinary meaning as understood by one of ordinary skill in the art to which the present invention belongs. The terms first, second and the like in the description and in the claims, are not used for any order, quantity or importance, but are used for distinguishing between different elements. Likewise, the terms "a" or "an" and the like do not denote a limitation of quantity, but rather denote the presence of at least one. "plurality" or "plurality" means two or more. Unless otherwise indicated, the terms "front," "rear," "lower," and/or "upper" and the like are merely for convenience of description and are not limited to one location or one spatial orientation. The word "comprising" or "comprises", and the like, means that elements or items appearing before "comprising" or "comprising" are encompassed by the element or item recited after "comprising" or "comprising" and equivalents thereof, and that other elements or items are not excluded. The terms "connected" or "connected," and the like, are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any or all possible combinations of one or more of the associated listed items.
The embodiment of the invention provides a method for monitoring a fan anemoscope in a wind power plant. FIG. 1 discloses a flow chart of a method of monitoring a wind vane in a wind farm in accordance with one embodiment of the present invention. As shown in fig. 1, a method for monitoring a wind vane in a wind farm according to an embodiment of the present invention may include steps S1 to S6.
In step S1, spatial position information of each fan 10 (as shown in fig. 3) in the wind farm 1 and a wind direction angle measured by a anemometer of each fan 10 are obtained, where the wind direction angle of each fan 10 includes a current wind direction angle of each fan 10 in an actual operation state.
As shown in fig. 3, a plurality of fans 10 are included in the wind farm 1. During operation, the wind turbine 10 generates a large amount of status data, which is collected and stored by a SCADA (Supervisory Control And Data Acquisition ) system (not shown) of the wind farm 1, for example: wind speed data measured by an anemometer of the wind turbine 10, wind direction angle measured by an anemometer of the wind turbine 10, power data, and the like, so as to perform intelligent operation and data mining work. The spatial position information, impeller diameter, owner information, etc. of the wind turbine 10 are also typically entered into a configuration information table of the wind turbine 10 and stored in a database of the SCADA system as recorded information of the wind farm 1.
At present, with the rapid development of intelligent operation and maintenance, database data of the SCADA system can be transmitted into a remote monitoring center of a fan manufacturer through a cloud. Therefore, the spatial position information of each fan 10 in the wind farm 1 and the wind direction angle measured by the anemometer of each fan 10 can be obtained from the SCADA system of the wind farm 1. By using the data, the abnormality monitoring work of the wind vane in the wind farm, which is described below in the embodiment of the invention, can be effectively carried out.
In step S2, a target wind turbine 11 to be monitored is selected in the wind farm 1, as shown in fig. 3.
In step S3, each reference fan 12 of the target fan 11 may be determined based on the spatial position information of every other fan 10 in the wind farm 1.
In some embodiments, the spatial location information of the wind turbine 10 may include latitude and longitude coordinates of the wind turbine 10. As shown in fig. 2, determining each reference fan 12 of the target fan 11 based on the spatial position information of every other fan 10 in the wind farm 1 in step S3 may further include step S31 and step S32.
In step S31, the distance between every two fans 10 may be calculated based on the longitude and latitude coordinates of every two fans 10 in the wind farm 1.
As shown in fig. 3, for any two fans 10 in the wind farm 1, the longitude and latitude coordinates of one fan 10 are (lat 1, lon 1), and the longitude and latitude coordinates of the other fan 10 are (lat 2, lon 2), then the calculation formula of the Distance (abbreviated as D) between every two fans 10 is shown in the following formula:
D＝Re×(x+Ob/8×(C1-C2))
Wherein, O b is the earth's flatness, and the calculation formula of the earth's flatness O b is as follows:
Ob＝(Re-Rb)/Re
Wherein R e is the equatorial radius of the earth, and the value of R e is 6378137m; r b is the polar radius of the earth, the value of which is 6356752m;
x＝arccos(sin(Pa)×sin(Pb)+cos(Pa)×cos(Pb)×cos(lon1–lon2))
C1＝(sin(x)-x)×(sin(Pa)+sin(Pb))^2/cos(x/2)^2
C2＝(sin(x)+x)×(sin(Pa)-sin(Pb))^2/sin(x/2)^2
Pa＝arctan(Rb/Re×tan(lat1))
Pb＝arctan(Rb/Re×tan(lat2))
therefore, the distance D between any two fans 10 can be calculated by the above formula after knowing the longitude and latitude coordinates of any two fans 10. Similarly, the distance D between every two fans 10 in the wind power plant 1 can be calculated according to longitude and latitude coordinates between every two fans 10 in the wind power plant 1.
Referring back to fig. 2, in step S32, each reference fan 12 of the target fan 11 may be determined based on the distance D between the fans 10 calculated in step S31.
How the individual reference fans 12 of the target fan 11 are determined based on the distance D between the fans 10 will be described in detail below with reference to fig. 3.
Referring to fig. 3, after calculating the distance D between every two fans 10 in the wind farm 1, the distances D between the target fan 11 and the other fans 10 in the wind farm 1 are extracted from the calculated distances D between every two fans 10 in the wind farm 1, and the respective reference fans 12 of the target fan 11 may be determined based on the distances D between the target fan 11 and the other fans 10 in the wind farm 1.
In some embodiments, when the distance D between the target wind turbine 11 and any other wind turbine 10 in the wind farm 1 is less than or equal to a predetermined distance threshold, then that wind turbine 10 is determined to be the reference wind turbine 12 of the target wind turbine 11.
In one embodiment, the distance threshold may be determined at a predetermined multiple of the impeller diameter of the blower 10. Taking a preset multiple of the impeller diameter as a distance threshold value, based on the consideration of the position relation between the fans 10, the topography, the climate factors and the like, in order to eliminate the wake flow influence between the fans 10, the distance between the fans 10 is usually larger than the preset multiple of the impeller diameter; in addition, if the distance is too far, the wind direction data is easily disturbed by the terrain and climatic factors, so that the wind direction data is too large in difference and difficult to model. Thus, for example, the distance threshold may be determined at 5 impeller diameters, thereby reducing wake effects between fans 10 and facilitating modeling. Specifically, as shown in fig. 3, a circle may be drawn with the target fan 11 as a center and a size of 5 times the impeller diameter as a radius, and all fans 10 drawn in the circle may be regarded as reference fans 12 of the target fan 11. In fig. 3, the distances D between the four fans in the four directions of the front, rear, left, right of the target fan 11 and the target fan 11 are each smaller than the distance threshold value, and therefore, the four fans in the four directions of the front, rear, left, right of the target fan 11 can be determined as the respective reference fans 12 of the target fan 11, respectively.
In another embodiment, the distance threshold may be determined in accordance with a layout between fans 10 in wind farm 1, e.g. for a matrix arrangement of wind farms 1, the maximum of the row spacing and column spacing of fans 10 in wind farm 1.
According to the monitoring method of the fan anemoscope in the wind power plant, each reference fan 12 of the target fan 11 can be determined according to the space position information among the fans 10, the determination mode of the reference fans 12 is simple and convenient, and the difficulty in selecting the reference fans 12 is reduced.
With continued reference to fig. 1, after determining each reference fan 12 of the target fan 11 in step S3, each abnormality judgment sector of the target fan 11 may be determined based on the spatial position information of the target fan 11 and each reference fan 12 in step S4.
As shown in fig. 4, determining each abnormality judgment sector of the target blower 11 based on the spatial position information of the target blower 11 and each reference blower 12 in step S4 may further include step S41 and step S42.
In step S41, the azimuth angle of the line between the target fan 11 and each reference fan 12 may be calculated based on the longitude and latitude coordinates of the target fan 11 and each reference fan 12.
In the embodiment of the present invention, the azimuth angle of the connection line between the target fan 11 and each reference fan 12 refers to the angle between the connection line between the target fan 11 and each reference fan 12 and the north.
Referring to fig. 5, for example, the longitude and latitude coordinates of the target fan 11 are (lat 1, lon 1), and the longitude and latitude coordinates of a certain reference fan 12 are (lat 2, lon 2), the calculation formula of the included angle between the connecting line of the target fan 11 and the reference fan 12 is shown in the following formula:
angle＝(atan2(y,x))×180/π
wherein angle is the included angle of the connecting line between the target fan 11 and the reference fan 12,
y＝sin(dLon)×cos(radLatB)
x＝cos(radLatA)×sin(radLatB)-sin(radLatA)×cos(radLatB)×cos(dLon)
dLon＝radLonB–radLonA
radLatA＝π×lat1/180
radLonA＝π×lon1/180
radLatB＝π×lat2/180
radLonB＝π×lon2/180
Considering that the angle of the line between the target fan 11 and the reference fan 12 may not be in the range of 0 to 360 degrees, and the azimuth angle of the line between the target fan 11 and the reference fan 12 is in the range of 0 to 360 degrees, the azimuth angle of the line between the target fan 11 and the reference fan 12 needs to be subjected to range processing on the angle of the line between the target fan 11 and the reference fan 12 obtained by the above formula, for example, the remainder calculation shown by the following formula:
angle1＝(angle+360)mod 360
where angle1 is the azimuth of the line between the target fan 11 and the reference fan 12.
Therefore, the remainder obtained by dividing the sum of the included angle of the connection line between the target fan 11 and the reference fan 12 by 360 ° is the azimuth angle1 of the connection line between the target fan 11 and the reference fan 12.
Therefore, by analogy, after knowing the longitude and latitude coordinates of the target fan 11 and each reference fan 12, the azimuth angle1 of the connection line between the target fan 11 and each reference fan 12 can be calculated according to the longitude and latitude coordinates between the target fan 11 and each reference fan 12 through the above formula.
In step S42 shown in fig. 4, each abnormality judgment sector may be determined based on the azimuth of the line between the target fan 11 and each reference fan 12.
As shown in fig. 5, in some embodiments, the predetermined threshold angle may be respectively added or subtracted to the azimuth angle of the connection line between the target fan 11 and each reference fan 12 to obtain each anomaly determination sector. For example, in fig. 5, for the reference fan 12A, the azimuth angle of the line between the target fan 11 and the reference fan 12A is 45 degrees, and the predetermined threshold angle is set to 15 degrees, the abnormality determination sector of the target fan 11 is between 30 degrees and 60 degrees; for the reference fan 12B, the azimuth angle of the line between the target fan 11 and the reference fan 12B is 310 degrees, and the predetermined threshold angle is set to 15 degrees, and the abnormality judgment sector of the target fan 11 is 295 degrees to 325 degrees.
Referring back to fig. 1, in step S15, an abnormality determination sector in which the target fan 11 is currently located may be determined based on the current wind direction angle of the target fan 11 acquired in step S1.
As shown in fig. 5, for example, when the current wind direction angle of the target fan 11 is 35 degrees, it may be determined that the abnormality determination sector in which the target fan 11 is currently located is between 30 degrees and 60 degrees.
In step S6 shown in fig. 1, anomaly monitoring may be performed on the anemoscope in the unit pair formed by the target fan 11 and the reference fan 12 that falls in the anomaly determination sector where it is currently located, based on the current wind direction angles of the target fan 11 and the reference fan 12 that falls in the anomaly determination sector where it is currently located.
With continued reference to fig. 5, if the current wind direction angle of the target fan 11 is 35 degrees, the abnormality determination sector in which the target fan 11 is currently located is determined to be between 30 degrees and 60 degrees, and therefore, the reference fan 12 that falls within the abnormality determination sector in which the target fan 11 is currently located is the reference fan 12A (hereinafter, a schematic description will be given taking the reference fan 12A as the reference fan in the abnormality determination sector in which the target fan is currently located as an example). The anemoscope in the unit pair formed by the target fan 11 and the reference fan 12A can be monitored abnormally according to the current wind direction angles of the target fan 11 and the reference fan 12A.
In some embodiments, whether there is an abnormality in the anemometer in the unit pair of the target fan 11 and the reference fan 12A that falls in the abnormality determination sector in which it is currently located may be determined based on the current wind direction angle difference between the target fan 11 and the reference fan 12A that falls in the abnormality determination sector in which it is currently located.
In one embodiment, determining whether there is an abnormality in the anemometer in the set pair of the target fan 11 and the reference fan 12A falling in the abnormality determination sector in which it is currently located based on the current wind direction angle difference between the target fan 11 and the reference fan 12A falling in the abnormality determination sector in which it is currently located may further include step S61 and step S62.
In step S61, a set threshold value of each abnormality determination sector is obtained.
How to obtain the set threshold value of each abnormality determination sector will be described in detail below with reference to fig. 7.
The wind direction angle of each fan 10 acquired in step S1 may further include a historical wind direction angle for a predetermined period of time in a normal operation state of each fan 10. As shown in fig. 7, in some embodiments, the obtaining of the set threshold value of each abnormality judgment sector in step S61 may further include step S611 and step S612.
In step S611, it is determined that the historical wind direction angles of the target blower 11 in the predetermined period of time respectively fall into the historical moments corresponding to the respective abnormality determination sectors.
In step S612, the set threshold value of each abnormality determination sector may be determined based on the historical wind direction angles of the target fan 11 and the reference fan 12 falling in each abnormality determination sector, at the historical time points corresponding to each abnormality determination sector.
For example, taking fig. 5 as an example, at a certain historical time, the historical wind direction angle of the target fan 11 is 40 degrees, the abnormality determination sector of the target fan 11 is between 30 degrees and 60 degrees, and therefore, the reference fan that falls within the abnormality determination sector between 30 degrees and 60 degrees at this time is 12A, and therefore, the set threshold value between 30 degrees and 60 degrees of the abnormality determination sector can be determined according to the historical wind direction angles of the target fan 11 and the reference fan 12A at this time. Similarly, at another historical time, the historical wind direction angle of the target fan 11 is 305 degrees, the abnormality judgment sector of the target fan 11 is 295 degrees to 325 degrees, and therefore, the reference fan falling within the abnormality judgment sector 295 degrees to 325 degrees at this time is 12B, and therefore, the set threshold value within the abnormality judgment sector 295 degrees to 325 degrees can be determined from the historical wind direction angles of the target fan 11 and the reference fan 12B at this time. And by analogy, determining the set threshold value of each abnormal judgment sector.
With continued reference to fig. 7, in one embodiment, step S612 may further include steps S6121 through S6123. In step S6121, a historical wind direction angle difference value of the target fan 11 and the reference fan 12 falling in each abnormality judgment sector at a historical time corresponding to each abnormality judgment sector is calculated.
In step S6122, the mean μ and variance σ of the historical wind direction angle difference values obtained in step S6121 are further calculated.
In step S6123, the set threshold value of each abnormality judgment sector may be determined based on the mean μ and the variance σ of the historical wind direction angle differences of the target fan 11 and the reference fan 12 falling into each abnormality judgment sector calculated in step S6122, at the historical time corresponding to each abnormality judgment sector.
For example, the setting threshold value of each abnormality determination sector may be set to μ±3×σ. However, the threshold value of each abnormality determination sector in the embodiment of the present invention is not limited to μ±3xσ, and may be set to another value according to actual needs.
Referring back to fig. 6, in step S62, it may be determined whether there is an abnormality in the anemoscope in the set pair of the target fan 11 and the reference fan 12 falling in the abnormality determination sector in which it is currently located, based on the current wind direction angle difference between the target fan 11 and the reference fan 12A falling in the abnormality determination sector in which it is currently located and the set threshold value of the abnormality determination sector in which it is currently located obtained in step S61.
When the current wind direction angle difference between the target fan 11 and the reference fan 12A falling into the current abnormality judgment sector exceeds the set threshold of the current abnormality judgment sector, the number of abnormalities can be increased by 1, and if the number of continuous occurrence abnormalities exceeds the predetermined number (set empirically, for example, 5 times), it is determined that there is an abnormality in the anemoscope in the set pair consisting of the target fan 11 and the reference fan 12 falling into the current abnormality judgment sector; if the discontinuous phenomenon occurs before the preset times are exceeded, the abnormal times are cleared, and counting is carried out again.
Therefore, when the current wind direction angle difference between the target fan 11 and the reference fan 12 falling in the current abnormality determination sector exceeds the set threshold value of the current abnormality determination sector for a predetermined number of times, it can be determined that there is an abnormality in the anemoscope in the set pair of the target fan 11 and the reference fan 12 falling in the current abnormality determination sector.
FIG. 8 discloses a flow chart of a method of monitoring a wind vane in a wind farm in accordance with another embodiment of the present invention. In other embodiments of the present invention, as shown in fig. 8, when it is detected that there is an abnormality in the anemoscope in the set pair formed by the target fan 11 and the reference fan 12 falling in the abnormality determination sector where it is currently located, the method for monitoring a anemoscope in a wind farm may further include step S7 and step S8.
In step S7, the power curves of the target fan 11 and the reference fan 12A in the set pair composed of the target fan 11 and the reference fan 12A falling in the abnormality judgment sector where it is currently located are acquired.
In step S8, it may be further determined whether there is an abnormality in the anemoscope of the target fan 11 or the reference fan 12A in the set pair based on the power curves of the target fan 11 and the reference fan 12A in the set pair acquired in step S8.
Since the wind direction meter is abnormal, the fan 10 is usually inaccurate against wind, and thus the power generated by the fan 10 is reduced, when the wind direction meter of the fan 10 in the unit pair is determined to be abnormal, the power curves of the target fan 11 and the reference fan 12A in the unit pair can be analyzed to further determine whether the wind direction meter of the target fan 11 or the reference fan 12A is abnormal.
FIG. 9 discloses a schematic diagram of power curves of the target fan 11 and the reference fan 12A in a set pair consisting of the target fan 11 and the reference fan 12A falling into the abnormality determination sector where it is currently located, according to an embodiment of the present invention. As shown in fig. 9, P1 represents the power curve of the target fan 11 in the unit pair, and P2 represents the power curve of the reference fan 12A in the unit pair. Since the target fan 11 and the reference fan 12A in the set pair are generally regarded as having a high correlation, when a deviation between the power curve P1 of the target fan 11 and the power curve P2 of the reference fan 12A exceeds a predetermined power threshold, it can be determined that the anemometer of the fan 10 corresponding to the poor power curve is abnormal. For example, as can be seen in fig. 9, the power curve P2 of the reference fan 12 is significantly shifted to the right with respect to the power curve P1 of the target fan 11, and thus, it can be confirmed that an abnormality occurs in the anemometer for the reference fan 12 having a poor power curve P2.
Of course, in other embodiments, the power curve P1 of the target fan 11 and the power curve P2 of the reference fan 12A may be compared with the set power curves, respectively, and when the deviation from the set power curves exceeds the predetermined power threshold, it may be determined that the anemometer of the fan 10 corresponding to the poor power curve is abnormal.
With continued reference to fig. 8, in some embodiments, the method for monitoring a wind vane in a wind farm according to the embodiment of the present invention may further include step S9. In step S9, when it is detected that the anemoscope of the fan 10 in the unit pair is abnormal, a fault alarm of the anemoscope may be triggered.
The monitoring method of the fan anemoscope in the wind power plant can determine the reference fan 12 of the target fan 11 based on the spatial position information of the fan 10, the selection of the reference fan 12 is simple, and the selection difficulty of the reference fan 12 is greatly reduced.
According to the monitoring method of the wind vane in the wind farm, the real-time abnormality judgment sector where the target fan 11 is located can be determined according to the real-time wind direction angle of the target fan 11, the corresponding reference fan 12 falling into the real-time abnormality judgment sector is selected, and the wind vane abnormality monitoring can be carried out on a unit pair consisting of the target fan 11 and the reference fan 12 according to the real-time wind direction angle of the target fan 11 and the selected corresponding reference fan 12, so that the problem of deviation abnormality diagnosis of the wind direction angles of the target fan 11 and the reference fan 12 in the corresponding abnormality judgment sector is effectively solved.
In addition, the monitoring method of the wind vane of the wind power plant can further determine whether the centering of the unit to the bottom is the target wind vane 11 or the wind vane of the reference wind vane 12 is abnormal according to the power curve, so that the wind vane 10 with abnormal wind vane can be accurately judged, and further, the fault early warning of the corresponding wind vane can be carried out, and the problem of fault diagnosis of the wind vane 10 is effectively solved.
The embodiment of the invention also provides a monitoring system 200 of the fan anemoscope in the wind power plant. FIG. 10 discloses a schematic block diagram of a monitoring system 200 for a wind vane in a wind farm in accordance with one embodiment of the present invention. As shown in fig. 10, a monitoring system 200 for a wind turbine in a wind farm may include one or more processors 201 for implementing the method for monitoring a wind turbine in a wind farm described in any of the embodiments above. In some embodiments, monitoring system 200 of a wind turbine in a wind farm may include a computer readable storage medium 202, where computer readable storage medium 202 may store programs that may be invoked by processor 201, and may include a non-volatile storage medium. In some embodiments, monitoring system 200 of a wind turbine in a wind farm may include memory 203 and interface 204. In some embodiments, the monitoring system 200 of the wind vane in the wind farm according to the embodiment of the present invention may further include other hardware according to practical applications.
The monitoring system 200 of the wind vane in the wind farm according to the embodiment of the present invention has similar technical effects as the above-described monitoring method of the wind vane in the wind farm, and therefore, will not be described herein.
The embodiment of the invention also provides a computer readable storage medium. The computer readable storage medium stores a program which, when executed by a processor, implements the method for monitoring a wind vane in a wind farm described in any of the above embodiments.
Embodiments of the invention may take the form of a computer program product embodied on one or more storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having program code embodied therein. Computer-readable storage media include both non-transitory and non-transitory, removable and non-removable media, and information storage may be implemented by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer readable storage media include, but are not limited to: new types of memory, such as phase change memory/resistive random access memory/magnetic memory/ferroelectric memory (PRAM/RRAM/MRAM/FeRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium, may be used to store information that may be accessed by the computing device.
According to the monitoring method and system for the wind vane in the wind power plant and the computer readable storage medium, provided by one or more embodiments of the invention, whether the wind vane in the wind power plant is abnormal or not can be identified and monitored on line in real time, so that the wind can be accurately directed by the wind turbine 10, and the maximization of the generated energy of the wind turbine 10 is realized.
The method and the system for monitoring the wind vane in the wind power plant and the computer readable storage medium are described in detail. Specific examples are used herein to illustrate the method and system for monitoring a wind vane in a wind farm and the computer readable storage medium according to the embodiments of the present invention, and the description of the above embodiments is only for helping to understand the core idea of the present invention, and is not intended to limit the present invention. It should be noted that it will be apparent to those skilled in the art that various changes and modifications can be made herein without departing from the spirit and principles of the invention, which should also fall within the scope of the appended claims.
Claims (16)
1. A monitoring method of a fan anemoscope in a wind power plant is characterized by comprising the following steps of: it comprises the following steps:
acquiring space position information of each fan in a wind power plant and wind direction angles measured by anemometers of each fan, wherein the wind direction angles comprise current wind direction angles of each fan in an actual running state;
Selecting a target fan;
determining each reference fan of the target fan based on the space position information of every two fans in the wind power plant;
Determining each abnormal judgment sector of the target fan based on the spatial position information of the target fan and each reference fan, wherein the spatial position information of the fan comprises longitude and latitude coordinates of the fan, and determining each abnormal judgment sector of the target fan comprises:
Calculating azimuth angles of connecting lines between the target fan and each reference fan based on longitude and latitude coordinates of the target fan and each reference fan; and
Determining the respective abnormal judgment sectors based on the azimuth angles of the connection lines between the target fans and the respective reference fans;
Determining an abnormality judgment sector where the target fan is currently located based on the current wind direction angle of the target fan; and
And carrying out anomaly monitoring on the anemoscope in the unit pair formed by the target fan and the reference fan falling into the anomaly judgment sector where the target fan is positioned based on the current wind direction angle of the target fan and the reference fan falling into the anomaly judgment sector where the target fan is positioned.
2. The method of claim 1, wherein: the step of obtaining the space position information of each fan in the wind power plant and the wind direction angle measured by the anemoscope of each fan comprises the following steps:
And acquiring the space position information of each fan in the wind power plant and the wind direction angle measured by the anemoscope of each fan from the SCADA system of the wind power plant.
3. The method of claim 1, wherein: the determining each reference fan of the target fan based on the space position information of every two fans in the wind power plant comprises the following steps:
Calculating the distance between every two fans based on longitude and latitude coordinates of every two fans in the wind power plant; and
Each reference fan of the target fans is determined based on the distance between every two fans.
4. A method as claimed in claim 3, wherein: the determining each reference fan of the target fan based on the distance between every two fans comprises:
determining the distance between the target fan and other fans in the wind power plant; and
And when the distance between the target fan and any other fan in the wind farm is smaller than or equal to a preset distance threshold value, determining that the fan is a reference fan of the target fan.
5. The method of claim 4, wherein: the distance threshold is determined as a predetermined multiple of the diameter of the impeller of the wind turbine or as the maximum of the row spacing and column spacing of the wind turbines in the wind farm.
6. The method of claim 1, wherein: the determining the respective anomaly determination sectors based on the azimuth angles of the links between the target blower and the respective reference blowers includes:
And respectively adding and subtracting preset threshold angles on the azimuth angles of connecting lines between the target fan and each reference fan to obtain each abnormal judgment sector.
7. The method of claim 1, wherein: the anomaly monitoring of the anemoscope in the unit pair formed by the target fan and the reference fan falling into the anomaly judgment sector comprises the following steps:
And determining whether an abnormality exists in the anemoscope of the unit pair formed by the target fan and the reference fan falling in the abnormality judgment sector based on the current wind direction angle difference between the target fan and the reference fan falling in the abnormality judgment sector.
8. The method of claim 7, wherein: determining whether an abnormality exists in a anemoscope in a unit pair formed by the target fan and the reference fan falling in the abnormality determination sector based on the current wind direction angle difference between the target fan and the reference fan falling in the abnormality determination sector comprises:
acquiring a set threshold value of each abnormal judgment sector; and
And determining whether an abnormality exists in the anemoscope in the unit pair formed by the target fan and the reference fan falling into the abnormality judgment sector where the target fan is located based on the current wind direction angle difference value between the target fan and the reference fan falling into the abnormality judgment sector where the target fan is located and the set threshold value of the abnormality judgment sector where the target fan is located.
9. The method as recited in claim 8, wherein: the wind direction angle further comprises a historical wind direction angle in a preset time period under the normal running state of each fan, and the obtaining of the set threshold value of each abnormal judgment sector comprises the following steps:
determining historical moments corresponding to the abnormality judgment sectors when the historical wind direction angles of the target fans in the preset time period respectively fall into the abnormality judgment sectors;
And determining the set threshold value of each abnormal judgment sector based on the historical wind direction angles of the target fan and the reference fan which fall into the abnormal judgment sector at the historical moment corresponding to each abnormal judgment sector.
10. The method of claim 9, wherein: the determining the set threshold value of each abnormality judgment sector based on the historical wind direction angles of the target fan and the reference fan corresponding to each abnormality judgment sector comprises:
Calculating the mean value and the variance of the historical wind direction angle difference values of the target fan and the reference fan which fall into each abnormal judgment sector at the historical moment corresponding to each abnormal judgment sector; and
The set threshold value of each abnormality judgment sector is determined based on the mean value and the variance of the historical wind direction angle difference values of the target fan and the reference fan falling into the abnormality judgment sectors at the historical time corresponding to each abnormality judgment sector.
11. The method as recited in claim 8, wherein: when the current wind direction angle difference value between the target fan and the reference fan falling into the current abnormality judgment sector exceeds the set threshold value of the current abnormality judgment sector continuously for a preset number of times, determining that the target fan and the reference fan falling into the current abnormality judgment sector form an abnormality of the anemoscope in the unit pair.
12. The method of claim 1, wherein: when the wind direction instrument of the fan in the unit pair is monitored to be abnormal, the method further comprises the following steps:
acquiring power curves of a target fan and a reference fan in the set pair; and
Determining whether an anomaly exists in the air vane of the target fan or the reference fan in the air vane of the air vane set based on the power curves of the target fan and the reference fan in the air vane set.
13. The method as recited in claim 12, wherein: and when the deviation between the power curves of the target fan and the reference fan exceeds a preset power threshold, determining that the anemoscope of the fan corresponding to the poor power curve is abnormal.
14. The method as recited in claim 12, wherein: it also includes:
When the wind direction instrument of the fan in the unit pair is monitored to be abnormal, the fault alarm of the wind direction instrument is triggered.
15. A monitoring system of a fan anemoscope in a wind power plant is characterized in that: comprising one or more processors for implementing a method of monitoring a wind vane in a wind farm according to any of claims 1-14.
16. A computer readable storage medium, having stored thereon a program which, when executed by a processor, implements a method of monitoring a wind vane in a wind farm according to any of claims 1-14.
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