CN108825452B - Method and device for determining blade icing of wind generating set - Google Patents
Method and device for determining blade icing of wind generating set Download PDFInfo
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- CN108825452B CN108825452B CN201810637578.6A CN201810637578A CN108825452B CN 108825452 B CN108825452 B CN 108825452B CN 201810637578 A CN201810637578 A CN 201810637578A CN 108825452 B CN108825452 B CN 108825452B
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D80/00—Details, components or accessories not provided for in groups F03D1/00 - F03D17/00
- F03D80/40—Ice detection; De-icing means
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D80/00—Details, components or accessories not provided for in groups F03D1/00 - F03D17/00
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/72—Wind turbines with rotation axis in wind direction
Abstract
A method and apparatus for determining icing of a wind turbine blade is disclosed. The method comprises the following steps: the method comprises the steps of obtaining external environment information and wind speeds detected by a plurality of wind generating sets in a wind power plant respectively as a first group of external environment data and a first group of wind speed data; acquiring external environment information and wind speed respectively detected by at least one anemometer tower in the wind power plant as a second group of external environment data and a second group of wind speed data; calculating an external environment integrated value of the external environment information using the first set of external environment data and the second set of external environment data; calculating a composite wind speed for the wind farm using the first set of wind speed data and the second set of wind speed data; determining whether blades of the plurality of wind turbine generators are frozen based on the integrated value of the external environment and the integrated wind speed.
Description
Technical Field
The present application relates generally to the field of wind power generation, and more particularly, to a method and apparatus for determining icing of a wind turbine blade.
Background
In areas with low temperature, high altitude and high humidity, blades of the wind generating set are easy to freeze. On one hand, blade icing can cause blade overload, and the aerodynamic performance of the blade is reduced, so that the output of the wind generating set is reduced; on the other hand, uneven load distribution may cause excessive vibration of the unit and even blade fracture, which affects the service life of the blade. In addition, in the rotating process of the impeller, when the adhesive force of an ice layer on the blade is reduced, ice blocks are easy to fall off, and safety threats are caused to overhead power cables, livestock, vehicles and personnel around the fan.
The traditional method for judging blade icing is visually determined by naked eyes, but the method is limited in the condition of complicated terrain or low visibility of the wind power plant. The existing automatic judgment method generally utilizes the relational characteristics and experience of wind speed after blades of a wind generating set are frozen and unit operation data to judge whether the blades are frozen, but the method depends on the data detected by the unit, and once a sensor of the unit fails or the data is interfered, misjudgment can be caused. In addition, in a wind power plant, blade icing often occurs in a plurality of units in the wind power plant, and the current judgment method is based on a single unit and lacks a system judgment method for blade icing of a wind generating set in the whole wind power plant.
Disclosure of Invention
An object of the embodiments of the present application is to provide a method and an apparatus for determining blade icing of a wind turbine generator system, in which measurement data of a wind measurement tower in a wind farm and measurement data of the wind turbine generator system are integrated, and theoretical output power and actual output power of the wind farm are compared to determine whether the blade of the wind turbine generator system in the wind farm is iced or not, when a physical icing condition of an external environment is satisfied.
According to an aspect of the embodiments of the present application, there is provided a method for determining icing of a wind turbine generator set blade, wherein the method may include: the method comprises the steps of obtaining external environment information and wind speeds detected by a plurality of wind generating sets in a wind power plant respectively as a first group of external environment data and a first group of wind speed data; acquiring external environment information and wind speed respectively detected by at least one anemometer tower in the wind power plant as a second group of external environment data and a second group of wind speed data; calculating an external environment integrated value of the external environment information using the first set of external environment data and the second set of external environment data; calculating a composite wind speed for the wind farm using the first set of wind speed data and the second set of wind speed data; determining whether blades of the plurality of wind turbine generators are frozen based on the integrated value of the external environment and the integrated wind speed.
Optionally, the step of determining whether blades of the plurality of wind turbine generators are iced based on the integrated value of the external environment and the integrated wind speed may comprise: calculating a theoretical total power output value of the wind power plant by using the comprehensive wind speed, and comparing the theoretical total power output value with an actual total power output value of the wind power plant; and determining that the blades of the plurality of wind generating sets are frozen if the difference value as the comparison result is larger than the power difference set value and the external environment comprehensive value meets the external environment set value condition.
Alternatively, the external environment information may include an ambient temperature and an ambient humidity, and the external environment integrated value may include a temperature integrated value and a humidity integrated value.
Optionally, the external environment set point condition means that the integrated temperature value is smaller than the set temperature value and the integrated humidity value is greater than the set humidity value.
Alternatively, the step of calculating the external environment integrated value of the external environment information may include: calculating the average temperature value of all the environment temperature data in the first group of external environment data and the second group of external environment data as the temperature comprehensive value; and calculating the humidity average value of all the environment humidity data in the first group of external environment data and the second group of external environment data to serve as the humidity comprehensive value.
Optionally, the method may further comprise: performing preprocessing on the first set of external environment data and the second set of external environment data before the step of calculating the external environment integrated value of the external environment information, wherein the step of performing preprocessing may include: removing a first predetermined number of extreme ambient temperature data from all ambient temperature data in the first set of external ambient data and the second set of external ambient data; removing a second predetermined amount of extreme environmental humidity data from all environmental humidity data in the first set of external environmental data and the second set of external environmental data; and respectively calculating the temperature comprehensive value and the humidity comprehensive value from the residual environmental temperature data and environmental humidity data after the elimination.
Optionally, the step of culling the first predetermined number of extreme ambient temperature data may comprise: sorting all the environmental temperature data in the first group of external environmental data and the second group of external environmental data in a descending order; m before rejection1Bar ambient temperature data and post m2Strip ambient temperature data, wherein the step of culling a second predetermined number of extreme ambient humidity data may comprise: sorting all the environmental humidity data in the first set of external environmental data and the second set of external environmental data in a descending order; n before rejection1Bar ambient humidity data and last n2Bar ambient humidity data, wherein m1、m2、n1、n2Is an integer of 1 or more, m1And m2Is equal to said first predetermined number, n1And n2Is equal to said second predetermined number.
Optionally, the step of calculating a theoretical total value of power output of the wind farm using the integrated wind speed may comprise: calculating respective power output theoretical values of wind generating sets in the wind power plant in grid-connected operation by using the comprehensive wind speed; and adding the calculated respective power output theoretical values to obtain a power output theoretical total value of the wind power plant.
Optionally, the step of calculating respective theoretical power output values of the wind generating sets in grid-connected operation in the wind power plant by using the comprehensive wind speed may include: and taking the power value corresponding to the comprehensive wind speed in the respective theoretical power curve of the wind generating set in grid-connected operation as the respective power output theoretical value of the wind generating set in grid-connected operation.
According to another aspect of the embodiments of the present application, there is provided an apparatus for determining icing of a wind turbine blade, wherein the apparatus may include: the first acquisition module is used for acquiring external environment information and wind speed which are respectively detected by a plurality of wind generating sets in a wind power plant and taking the external environment information and the wind speed as a first group of external environment data and a first group of wind speed data; the second acquisition module is used for acquiring external environment information and wind speed which are respectively detected by at least one anemometer tower in the wind power plant and taking the external environment information and the wind speed as a second group of external environment data and a second group of wind speed data; an external environment integrated value calculation module for calculating an external environment integrated value of the external environment information using the first set of external environment data and the second set of external environment data; the comprehensive wind speed calculation module is used for calculating the comprehensive wind speed of the wind power plant by using the first group of wind speed data and the second group of wind speed data; and the icing determining module is used for determining whether the blades of the plurality of wind generating sets are iced or not based on the external environment comprehensive value and the comprehensive wind speed.
Optionally, the step of determining whether blades of the plurality of wind turbine generators are iced based on the integrated value of the external environment and the integrated wind speed may comprise: calculating a theoretical total power output value of the wind power plant by using the comprehensive wind speed, and comparing the theoretical total power output value with an actual total power output value of the wind power plant; the icing determination module determines that the blades of the plurality of wind turbine generators are iced if the difference value as a result of the comparison is greater than the power difference set value and the integrated value of the external environment satisfies the condition of the external environment set value.
Alternatively, the external environment information may include an ambient temperature and an ambient humidity, and the external environment integrated value may include a temperature integrated value and a humidity integrated value.
Optionally, the external environment set point condition means that the integrated temperature value is smaller than the set temperature value and the integrated humidity value is greater than the set humidity value.
Alternatively, the step of calculating the external environment integrated value of the external environment information may include: calculating the average temperature value of all the environment temperature data in the first group of external environment data and the second group of external environment data as the temperature comprehensive value; and calculating the humidity average value of all the environment humidity data in the first group of external environment data and the second group of external environment data to serve as the humidity comprehensive value.
Optionally, the apparatus may further comprise: a preprocessing module performing preprocessing on the first set of external environment data and the second set of external environment data before the external environment integrated value calculation module calculates the external environment integrated value of the external environment information, wherein the performing preprocessing may include: removing a first predetermined number of extreme ambient temperature data from all ambient temperature data in the first set of external ambient data and the second set of external ambient data; removing a second predetermined amount of extreme environmental humidity data from all environmental humidity data in the first set of external environmental data and the second set of external environmental data; and respectively calculating the temperature comprehensive value and the humidity comprehensive value from the residual environmental temperature data and environmental humidity data after the elimination.
Optionally, the step of culling a first predetermined number of extreme ambient temperature data mayThe method comprises the following steps: sorting all the environmental temperature data in the first group of external environmental data and the second group of external environmental data in a descending order; m before rejection1Bar ambient temperature data and post m2Strip ambient temperature data, wherein the step of culling a second predetermined number of extreme ambient humidity data may comprise: sorting all the environmental humidity data in the first set of external environmental data and the second set of external environmental data in a descending order; n before rejection1Bar ambient humidity data and last n2Bar ambient humidity data, wherein m1、m2、n1、n2Is an integer of 1 or more, m1And m2Is equal to said first predetermined number, n1And n2Is equal to said second predetermined number.
Optionally, the step of calculating a theoretical total value of power output of the wind farm using the integrated wind speed may comprise: calculating respective power output theoretical values of wind generating sets in the wind power plant in grid-connected operation by using the comprehensive wind speed; and adding the calculated respective power output theoretical values to obtain a power output theoretical total value of the wind power plant.
Optionally, the step of calculating respective theoretical power output values of the wind generating sets in grid-connected operation in the wind power plant by using the comprehensive wind speed may include: and taking the power value corresponding to the comprehensive wind speed in the respective theoretical power curve of the wind generating set in grid-connected operation as the respective power output theoretical value of the wind generating set in grid-connected operation.
According to another aspect of embodiments of the application, a computer readable storage medium is provided, having stored thereon a computer program, which, when being executed by a processor, carries out the method of determining icing of a wind park blade as described above.
According to another aspect of embodiments of the present application, there is provided a control apparatus of a wind turbine generator system, the control apparatus may include: a processor; a memory storing a computer program which, when executed by the processor, implements the method of determining wind turbine generator set blade icing as described above.
According to the method and the device, the blade icing condition of the wind generating set is judged by utilizing the anemometer tower in the wind power plant, the judgment accuracy and the judgment safety can be improved, and the risk caused by blade icing is reduced.
Drawings
The above and other objects, features and advantages of the embodiments of the present application will become more apparent from the following detailed description taken in conjunction with the accompanying drawings which illustrate, by way of example, embodiments, and in which:
FIG. 1 illustrates a flow chart of a method of determining wind turbine generator set blade icing according to an embodiment of the present application;
FIG. 2 shows a block diagram of a device for determining blade icing of a wind turbine generator set according to an embodiment of the present application.
Detailed Description
Various exemplary embodiments will now be described more fully with reference to the accompanying drawings.
FIG. 1 shows a flow chart of a method of determining wind turbine generator set blade icing according to an embodiment of the present application.
Referring to fig. 1, in step S10, external environment information and wind speed detected by each of a plurality of wind turbine generators within a wind farm may be acquired as a first set of external environment data and a first set of wind speed data.
Specifically, various sensors or detection devices installed in the wind turbine generator system themselves in the wind farm may be used to detect the external environmental information and the wind speed in real time. Here, the external environment information may include an ambient temperature and an ambient humidity. The external environment information and the wind speed data detected by the plurality of wind generating sets can be respectively used as a first group of external environment data and a first group of wind speed data. In other words, the first set of external environmental data may include ambient temperature data and ambient humidity data detected by the wind turbine generator set. The first set of wind speed data may include wind speed data detected by the wind turbine generator set.
In step S20, the external environment information and the wind speed respectively detected by at least one anemometer tower within the wind farm may be acquired as the second set of external environment data and the second set of wind speed data.
Typically, one or more wind towers may be provided within a wind farm, depending on the number of wind generating sets within the wind farm. The anemometer tower may be used to observe meteorological information of the wind farm, such as wind speed, wind direction, ambient temperature, ambient humidity, barometric pressure, and the like. The external environment information and the wind speed data detected by the at least one anemometer tower can be respectively used as a second group of external environment data and a second group of wind speed data. In other words, the second set of external environmental data may include ambient temperature data and ambient humidity data detected by the anemometer tower. The second set of wind speed data may include wind speed data detected by a wind tower.
Although it is described in the present application that the step S10 is performed before the step S20, the step S10 may be performed after the step S20, or both may be performed in parallel, which is not limited by the present application.
In addition, since the actual conditions of each wind farm are different, the wind turbine generators of some wind farms are not provided with a sensor or a detection device for detecting the ambient humidity, and in this case, the ambient humidity can be detected only by the anemometer tower. In other words, in this case, only the ambient temperature data detected by the wind turbine generator set may be included in the first set of external ambient data, and the ambient humidity data may not be included.
In step S30, an external environment integrated value of the external environment information may be calculated using the first set of external environment data and the second set of external environment data.
Here, the external environment integrated value may be used to indicate external environment information (i.e., ambient temperature and ambient humidity) as described above. The external environment integrated value may include a temperature integrated value and a humidity integrated value. In other words, the integrated external environmental value may be indicative of the ambient temperature and the ambient humidity.
In one embodiment, the step of calculating the external environment integrated value of the external environment information may include: calculating the average temperature value of all the environment temperature data in the first group of external environment data and the second group of external environment data as a temperature comprehensive value; and calculating the humidity average value of all the environment humidity data in the first group of external environment data and the second group of external environment data to be used as a humidity comprehensive value.
For example, the ambient temperature data in the first set of external ambient data and the ambient temperature data in the second set of external ambient data may be extracted and an average of these ambient temperature data may be calculated as the temperature integrated value. The ambient humidity data in the first set of external ambient data and the ambient humidity data in the second set of external ambient data may be extracted and an average of the ambient humidity data may be calculated as a humidity integrated value. Further, in the case where the wind turbine generator set as described above is not provided with a sensor or a detection device for detecting ambient humidity, only ambient humidity data in the second set of external ambient data may be extracted and an average value of these ambient humidity data may be calculated as a humidity integrated value. However, this is merely an example, and those skilled in the art will appreciate that the manner of calculating the integrated temperature and humidity values is not limited to calculating the average of the ambient temperature data and the average of the ambient humidity data.
In another embodiment, the preprocessing may be performed on the first set of external environment data and the second set of external environment data before the step of calculating the external environment integrated value of the external environment information.
The step of performing the pre-processing may comprise: removing a first predetermined number of extreme ambient temperature data from all ambient temperature data in the first set of external ambient data and the second set of external ambient data; removing a second predetermined amount of extreme environmental humidity data from all environmental humidity data in the first set of external environmental data and the second set of external environmental data; and respectively calculating a temperature comprehensive value and a humidity comprehensive value from the residual environmental temperature data and environmental humidity data after the elimination.
For example, the first predetermined amount and the second predetermined amount may be predetermined according to the amount of ambient temperature data and ambient humidity data. The extreme environment temperature data and the extreme environment humidity data may refer to data with large abnormality or relative deviation in all the environment temperature data and all the environment humidity data, or may refer to only relatively large or relatively small data in all the environment temperature data and all the environment humidity data.
The step of culling a first predetermined number of extreme ambient temperature data may comprise: sorting all the environmental temperature data in the first group of external environmental data and the second group of external environmental data in a descending order; m before rejection1Bar ambient temperature data and post m2Bar ambient temperature data.
The step of culling a second predetermined number of extreme ambient humidity data may comprise: sorting all the environmental humidity data in the first set of external environmental data and the second set of external environmental data in a descending order; n before rejection1Bar ambient humidity data and last n2Bar ambient humidity data.
Here, m1、m2、n1、n2Is an integer of 1 or more, m1And m2Is equal to the first predetermined number, n1And n2Is equal to the second predetermined number. In addition, the manner of rejecting the extreme data is merely an example, and the application is not limited thereto, and those skilled in the art may reject the extreme data using other manners known in the art.
The meteorological information of the wind power plant anemometer tower is compared with external environment data detected by a fan, invalid data are eliminated, the external environment is ensured to really meet the condition of icing, the icing condition of the blades of the wind power plant set is judged relatively accurately by comparing the predicted power of the wind power plant anemometer tower with the actual output power of the wind power plant, the icing condition of the blades of the fan of the whole wind power plant is identified, and meanwhile, the problem of misjudgment caused by the fact that a single fan simply depends on the inaccurate external environment data detected by the fan is solved.
In step S40, a composite wind speed for the wind farm may be calculated using the first set of wind speed data and the second set of wind speed data.
Similar to the external environment integrated value, the integrated wind speed may be indicative of the wind speed of the wind farm. For example, an average of a first set of wind speed data detected by the wind turbine generator set and a second set of wind speed data detected by the wind tower may be calculated as a combined wind speed.
Although it is described in the present application that the step S30 is performed before the step S40, the step S30 may be performed after the step S40, or both may be performed in parallel, which is not limited by the present application.
In step S50, it may be determined whether blades of the plurality of wind turbine generators are frozen based on the integrated external environment value and the integrated wind speed.
In one embodiment, the step of determining whether blades of the plurality of wind turbine generators are iced based on the integrated value of the external environment and the integrated wind speed may include: calculating a theoretical total power output value of the wind power plant by using the comprehensive wind speed, and comparing the theoretical total power output value with an actual total power output value of the wind power plant; and determining that the blades of the plurality of wind generating sets are frozen if the difference value as the comparison result is larger than the power difference set value and the external environment comprehensive value meets the external environment set value condition.
Here, the external environment set point condition means that the integrated temperature value is smaller than the set temperature value and the integrated humidity value is larger than the set humidity value. The temperature set point and the humidity set point may be preset. The external environmental set point condition may be a physical condition of blade icing.
In one embodiment, the step of calculating the theoretical total value of power output for the wind farm using the integrated wind speed may comprise: calculating respective power output theoretical values of wind generating sets in grid-connected operation in the wind power plant by using the comprehensive wind speed; and adding the calculated respective power output theoretical values to obtain a power output theoretical total value of the wind power plant.
In one embodiment, the step of calculating respective theoretical values of power output of wind generating sets operating on grid-connected basis in the wind farm using the integrated wind speed may comprise: and taking the power value corresponding to the comprehensive wind speed in the respective theoretical power curve of the wind generating set in grid-connected operation as the respective power output theoretical value of the wind generating set in grid-connected operation.
For example, generally, the running state information of each wind generating set, including shutdown, standby, startup, grid connection, etc., can be obtained through the detection device of the wind generating set. And selecting a corresponding power value in the theoretical power curve of each wind generating set in grid-connected operation under the calculated comprehensive wind speed as a power output theoretical value of each wind generating set in grid-connected operation. The theoretical power curve may indicate a correspondence of a theoretical output power of the wind turbine generator set with a wind speed. The theoretical power curve may be pre-stored in a central control server of the wind farm.
As described above, the theoretical power output values of the wind turbine generators in grid-connected operation are added to obtain the theoretical total power output value of the wind farm. The theoretical total value of power output may then be compared with the actual total value of power output of the wind farm. And if the difference value as the comparison result is larger than the power difference set value and the external environment comprehensive value meets the external environment set value condition, determining that the blades of the plurality of wind generating sets in the wind power plant are frozen.
For example, the difference between the theoretical total value of power output and the actual total value of power output may be calculated. The power difference setting value may be preset. And when the difference value is larger than the power difference set value, the actual output power of the wind power plant is reduced to a greater extent. At the moment, if the external environment comprehensive value meets the external environment set value condition, namely if the temperature comprehensive value is smaller than the temperature set value and the humidity comprehensive value is larger than the humidity set value, the blade of the wind generating set in the wind power plant can be determined to be frozen, and an alarm is sent out through the central control server so as to take subsequent control measures.
If the external environment set point condition and the power difference set point condition are not simultaneously satisfied, that is, if the external environment integrated value does not satisfy the external environment set point condition or the calculated difference value is not greater than the power difference set point, it is determined that the blades of the wind turbine generator set in the wind farm are not frozen, at this time, the method may return to step S10, and continue to acquire the first set of external environment data and the first set of wind speed data.
FIG. 2 shows a block diagram of a device for determining blade icing of a wind turbine generator set according to an embodiment of the present application.
Referring to fig. 2, an apparatus 100 for determining icing of a wind turbine generator set blade according to an embodiment of the present application may include a first obtaining module 10, a second obtaining module 20, an external environment integrated value calculating module 30, an integrated wind speed calculating module 40, and an icing determining module 50.
The first obtaining module 10 may obtain external environment information and wind speed detected by each of a plurality of wind generating sets in the wind farm as a first set of external environment data and a first set of wind speed data.
Various sensors or detection devices arranged on a wind generating set in a wind power plant can detect external environment information and wind speed in real time. Here, the external environment information may include an ambient temperature and an ambient humidity. The external environment information and the wind speed data detected by the plurality of wind generating sets can be respectively used as a first group of external environment data and a first group of wind speed data. In other words, the first set of external environmental data may include ambient temperature data and ambient humidity data detected by the wind turbine generator set. The first set of wind speed data may include wind speed data detected by the wind turbine generator set.
The second obtaining module 20 may obtain external environment information and wind speed respectively detected by at least one anemometer tower in the wind farm as a second set of external environment data and a second set of wind speed data.
The external environment information and the wind speed data detected by the at least one anemometer tower can be respectively used as a second group of external environment data and a second group of wind speed data. In other words, the second set of external environmental data may include ambient temperature data and ambient humidity data detected by the anemometer tower. The second set of wind speed data may include wind speed data detected by a wind tower.
The external environment integrated value calculation module 30 may calculate the external environment integrated value of the external environment information using the first set of external environment data and the second set of external environment data.
Here, the external environment integrated value may be used to indicate external environment information (i.e., ambient temperature and ambient humidity) as described above. The external environment integrated value may include a temperature integrated value and a humidity integrated value. In other words, the integrated external environmental value may be indicative of the ambient temperature and the ambient humidity.
In one embodiment, the step of calculating the external environment integrated value of the external environment information may include: calculating the average temperature value of all the environment temperature data in the first group of external environment data and the second group of external environment data as a temperature comprehensive value; and calculating the humidity average value of all the environment humidity data in the first group of external environment data and the second group of external environment data to be used as a humidity comprehensive value.
For example, the external environment integrated value calculation module 30 may extract the ambient temperature data in the first set of external environment data and the ambient temperature data in the second set of external environment data and calculate an average value of these ambient temperature data as the temperature integrated value. The integrated external environment value calculation module 30 may extract the environmental humidity data in the first set of external environment data and the environmental humidity data in the second set of external environment data, and calculate an average value of the environmental humidity data as an integrated humidity value. However, this is merely an example, and those skilled in the art will appreciate that the manner of calculating the integrated temperature and humidity values is not limited to calculating the average of the ambient temperature data and the average of the ambient humidity data.
In another embodiment, the apparatus 100 may further comprise a pre-processing module (not shown). The preprocessing module may perform preprocessing on the first set of external environment data and the second set of external environment data before the external environment integrated value calculation module 30 calculates the external environment integrated value of the external environment information.
The step of performing the pre-processing may comprise: removing a first predetermined number of extreme ambient temperature data from all ambient temperature data in the first set of external ambient data and the second set of external ambient data; removing a second predetermined amount of extreme environmental humidity data from all environmental humidity data in the first set of external environmental data and the second set of external environmental data; and respectively calculating a temperature comprehensive value and a humidity comprehensive value from the residual environmental temperature data and environmental humidity data after the elimination.
For example, the first predetermined amount and the second predetermined amount may be predetermined according to the amount of ambient temperature data and ambient humidity data. The extreme environment temperature data and the extreme environment humidity data may refer to data with large abnormality or relative deviation in all the environment temperature data and all the environment humidity data, or may refer to only relatively large or relatively small data in all the environment temperature data and all the environment humidity data.
The step of culling a first predetermined number of extreme ambient temperature data may comprise: sorting all the environmental temperature data in the first group of external environmental data and the second group of external environmental data in a descending order; m before rejection1Bar ambient temperature data and post m2Bar ambient temperature data.
The step of culling a second predetermined number of extreme ambient humidity data may comprise: sorting all the environmental humidity data in the first set of external environmental data and the second set of external environmental data in a descending order; n before rejection1Bar ambient humidity data and last n2Bar ambient humidity data.
Here, m1、m2、n1、n2Is an integer of 1 or more, m1And m2Is equal to said first predetermined number, n1And n2Is equal to said second predetermined number. In addition, the manner of rejecting the extreme data is merely an example, and the application is not limited thereto, and those skilled in the art may reject the extreme data using other manners known in the art.
The integrated wind speed calculation module 40 may calculate an integrated wind speed for the wind farm using the first set of wind speed data and the second set of wind speed data.
Similar to the external environment integrated value, the integrated wind speed may be indicative of the wind speed of the wind farm. For example, an average of a first set of wind speed data detected by the wind turbine generator set and a second set of wind speed data detected by the wind tower may be calculated as a combined wind speed.
The icing determination module 50 may determine whether blades of the plurality of wind turbine generators are iced based on the integrated value of the external environment and the integrated wind speed.
In one embodiment, the step of determining whether blades of the plurality of wind turbine generators are iced based on the integrated value of the external environment and the integrated wind speed may include: calculating a theoretical total power output value of the wind power plant by using the comprehensive wind speed, and comparing the theoretical total power output value with an actual total power output value of the wind power plant; the icing determination module 50 determines that the blades of the plurality of wind turbine generators are iced if the difference value as a result of the comparison is greater than the power difference set point and the integrated value of the external environment satisfies the external environment set point condition.
Here, the external environment set point condition means that the integrated temperature value is smaller than the set temperature value and the integrated humidity value is larger than the set humidity value. The temperature set point and the humidity set point may be preset. The external environmental set point condition may be a physical condition of blade icing.
In one embodiment, the step of calculating the theoretical total value of power output for the wind farm using the integrated wind speed may comprise: calculating respective power output theoretical values of wind generating sets in grid-connected operation in the wind power plant by using the comprehensive wind speed; and adding the calculated respective power output theoretical values to obtain a power output theoretical total value of the wind power plant.
In one embodiment, the step of calculating respective theoretical values of power output of wind generating sets operating on grid-connected basis in the wind farm using the integrated wind speed may comprise: and taking the power value corresponding to the comprehensive wind speed in the respective theoretical power curve of the wind generating set in grid-connected operation as the respective power output theoretical value of the wind generating set in grid-connected operation.
For example, generally, the detection device of the wind turbine generator system may obtain the operation state information of each wind turbine generator system, including shutdown, standby, startup, grid connection and the like. The icing determination module 50 may select a corresponding power value in the theoretical power curve of each wind turbine generator set in grid-connected operation at the calculated integrated wind speed as a power output theoretical value of each wind turbine generator set in grid-connected operation. The theoretical power curve may indicate a correspondence of a theoretical output power of the wind turbine generator set with a wind speed. The theoretical power curve may be pre-stored in a central control server of the wind farm.
As described above, the icing determination module 50 adds the respective power output theoretical values of the wind turbine generators in grid-connected operation to obtain the power output theoretical total value of the wind farm. The icing determination module 50 may then compare the theoretical total value of power output to the actual total value of power output for the wind farm. The icing determination module 50 determines that blades of a plurality of wind turbine generators within the wind farm are iced if the difference as a result of the comparison is greater than the power difference set point and the combined external environment value satisfies the external environment set point condition.
For example, the icing determination module 50 may calculate a difference between the theoretical total power output value and the actual total power output value. The power difference setting value may be preset. And when the difference value is larger than the power difference set value, the actual output power of the wind power plant is reduced to a greater extent. At this time, if the external environment integrated value satisfies the external environment set value condition, that is, if the temperature integrated value is less than the temperature set value and the humidity integrated value is greater than the humidity set value, the icing determination module 50 may determine that the blades of the wind turbine generator set in the wind farm are frozen, and send an alarm through the central control server, so as to take subsequent control measures.
If the external environment set value condition and the power difference set value condition are not simultaneously satisfied, that is, if the external environment integrated value does not satisfy the external environment set value condition or the calculated difference value is not greater than the power difference set value, the icing determination module 50 determines that the blades of the wind turbine generator set in the wind farm are not iced, at this time, the first acquisition module 10 may continue to acquire the first set of external environment data and the first set of wind speed data, and the second acquisition module 20 may continue to acquire the second set of external environment data and the second set of wind speed data.
An embodiment according to the present application also provides a control apparatus. For example, the control device may be a main controller of the wind park, it should be noted that this is only an example, for example, the control device may be another control device connected to the wind park for controlling the operation of the wind park. The control device may include a processor and a memory. The memory is for storing a computer program. The computer program is executed by a processor to cause the processor to execute the method of determining icing of a wind turbine generator set blade as described above.
There is also provided, in accordance with an embodiment of the present application, a computer-readable storage medium storing a computer program. The computer readable storage medium stores a computer program which, when executed by a processor, causes the processor to perform the above-described method of determining icing of a wind park blade. The computer readable recording medium is any data storage device that can store data read by a computer system. Examples of the computer-readable recording medium include: read-only memory, random access memory, read-only optical disks, magnetic tapes, floppy disks, optical data storage devices, and carrier waves (such as data transmission through the internet via wired or wireless transmission paths).
According to the method and the device for determining the icing of the blades of the wind generating set, the measurement data of the anemometer tower and the measurement data of the wind generating set in the wind power plant can be integrated, and the theoretical output power and the actual output power of the wind power plant are compared under the condition that the physical icing condition of the external environment is met, so that whether the blades of the wind generating set in the wind power plant are iced or not is determined, and the limitation of visual observation and judgment by people is solved.
This application introduces the measured data of anemometer tower and judges whether the blade freezes, can improve the degree of accuracy and the security of judging, reduces the risk that the blade freezes and brings.
The method and the device solve the problems that the blade icing of the wind turbine of the wind power plant is difficult to automatically identify and detect inaccurately by fully utilizing meteorological resources of the wind power plant anemometer tower. The wind measuring tower hardware system and the central monitoring software system are combined with the running state and the data information of the fan, so that the icing condition of the fan blade of the wind power plant can be relatively accurately judged, and an operator on duty can be timely warned, so that relevant measures can be timely taken, the safety is ensured, and the risk caused by the icing of the blade is reduced.
While the present application has been particularly shown and described with reference to exemplary embodiments thereof, it will be understood by those of ordinary skill in the art that various changes in form and details may be made therein without departing from the spirit and scope of the present application as defined by the following claims.
Claims (20)
1. A method of determining wind turbine generator set blade icing, the method comprising:
the method comprises the steps of obtaining external environment information and wind speeds detected by a plurality of wind generating sets in a wind power plant respectively as a first group of external environment data and a first group of wind speed data;
acquiring external environment information and wind speed respectively detected by at least one anemometer tower in the wind power plant as a second group of external environment data and a second group of wind speed data;
calculating an external environment integrated value of the external environment information using the first set of external environment data and the second set of external environment data;
calculating a composite wind speed for the wind farm using the first set of wind speed data and the second set of wind speed data;
determining whether blades of the plurality of wind turbine generators are frozen based on the integrated value of the external environment and the integrated wind speed,
wherein the external environment information includes an ambient temperature and an ambient humidity.
2. The method of claim 1, wherein determining whether blades of the plurality of wind turbine generators are icy based on the integrated value of the external environment and the integrated wind speed comprises:
calculating a theoretical total power output value of the wind power plant by using the comprehensive wind speed, and comparing the theoretical total power output value with an actual total power output value of the wind power plant;
and determining that the blades of the plurality of wind generating sets are frozen if the difference value as the comparison result is larger than the power difference set value and the external environment comprehensive value meets the external environment set value condition.
3. The method of claim 2, wherein the external environment composite value comprises a temperature composite value and a humidity composite value.
4. The method of claim 3, wherein the external environmental setpoint condition is that the integrated temperature value is less than a set temperature value and the integrated humidity value is greater than a set humidity value.
5. The method according to claim 3, wherein the step of calculating the external environment integrated value of the external environment information comprises:
calculating the average temperature value of all the environment temperature data in the first group of external environment data and the second group of external environment data as the temperature comprehensive value;
and calculating the humidity average value of all the environment humidity data in the first group of external environment data and the second group of external environment data to serve as the humidity comprehensive value.
6. The method of claim 3, further comprising: performing preprocessing on the first set of external environment data and the second set of external environment data prior to the step of calculating an external environment integrated value of the external environment information,
wherein the step of performing the pre-processing comprises:
removing a first predetermined number of extreme ambient temperature data from all ambient temperature data in the first set of external ambient data and the second set of external ambient data;
removing a second predetermined amount of extreme environmental humidity data from all environmental humidity data in the first set of external environmental data and the second set of external environmental data;
and respectively calculating the temperature comprehensive value and the humidity comprehensive value from the residual environmental temperature data and environmental humidity data after the elimination.
7. The method of claim 6, wherein the step of culling a first predetermined number of extreme ambient temperature data comprises:
sorting all the environmental temperature data in the first group of external environmental data and the second group of external environmental data in a descending order;
m before rejection1Bar ambient temperature data and post m2The ambient temperature data of the strip is recorded,
wherein the step of culling a second predetermined number of extreme ambient humidity data comprises:
sorting all the environmental humidity data in the first set of external environmental data and the second set of external environmental data in a descending order;
n before rejection1Bar environment wetDegree data and last n2The ambient humidity data of the strip is read,
wherein m is1、m2、n1、n2Is an integer of 1 or more, m1And m2Is equal to said first predetermined number, n1And n2Is equal to said second predetermined number.
8. The method of claim 2, wherein the step of using the integrated wind speed to calculate a theoretical total value of power output for the wind farm comprises:
calculating respective power output theoretical values of wind generating sets in the wind power plant in grid-connected operation by using the comprehensive wind speed;
and adding the calculated respective power output theoretical values to obtain a power output theoretical total value of the wind power plant.
9. The method of claim 8, wherein the step of calculating respective theoretical values of power output of wind turbine generators operating on grid in the wind farm using the integrated wind speed comprises:
and taking the power value corresponding to the comprehensive wind speed in the respective theoretical power curve of the wind generating set in grid-connected operation as the respective power output theoretical value of the wind generating set in grid-connected operation.
10. An apparatus for determining icing of a wind turbine blade, the apparatus comprising:
the first acquisition module is used for acquiring external environment information and wind speed which are respectively detected by a plurality of wind generating sets in a wind power plant and taking the external environment information and the wind speed as a first group of external environment data and a first group of wind speed data;
the second acquisition module is used for acquiring external environment information and wind speed which are respectively detected by at least one anemometer tower in the wind power plant and taking the external environment information and the wind speed as a second group of external environment data and a second group of wind speed data;
an external environment integrated value calculation module for calculating an external environment integrated value of the external environment information using the first set of external environment data and the second set of external environment data;
the comprehensive wind speed calculation module is used for calculating the comprehensive wind speed of the wind power plant by using the first group of wind speed data and the second group of wind speed data;
an icing determination module that determines whether blades of the plurality of wind turbine generators are iced based on the integrated value of the external environment and the integrated wind speed,
wherein the external environment information includes an ambient temperature and an ambient humidity.
11. The apparatus of claim 10, wherein the step of determining whether blades of the plurality of wind turbine generators are icy based on the integrated value of the external environment and the integrated wind speed comprises:
calculating a theoretical total power output value of the wind power plant by using the comprehensive wind speed, and comparing the theoretical total power output value with an actual total power output value of the wind power plant;
the icing determination module determines that the blades of the plurality of wind turbine generators are iced if the difference value as a result of the comparison is greater than the power difference set value and the integrated value of the external environment satisfies the condition of the external environment set value.
12. The apparatus of claim 11, wherein the external environment composite value comprises a temperature composite value and a humidity composite value.
13. The apparatus of claim 12, wherein the external environmental setpoint condition is that the integrated temperature value is less than a set temperature value and the integrated humidity value is greater than a set humidity value.
14. The apparatus of claim 12, wherein the step of calculating the external environment integrated value of the external environment information comprises:
calculating the average temperature value of all the environment temperature data in the first group of external environment data and the second group of external environment data as the temperature comprehensive value;
and calculating the humidity average value of all the environment humidity data in the first group of external environment data and the second group of external environment data to serve as the humidity comprehensive value.
15. The apparatus of claim 12, further comprising: a preprocessing module which performs preprocessing on the first set of external environment data and the second set of external environment data before the external environment integrated value calculation module calculates the external environment integrated value of the external environment information,
wherein the step of performing the pre-processing comprises:
removing a first predetermined number of extreme ambient temperature data from all ambient temperature data in the first set of external ambient data and the second set of external ambient data;
removing a second predetermined amount of extreme environmental humidity data from all environmental humidity data in the first set of external environmental data and the second set of external environmental data;
and respectively calculating the temperature comprehensive value and the humidity comprehensive value from the residual environmental temperature data and environmental humidity data after the elimination.
16. The apparatus of claim 15, wherein the step of culling a first predetermined number of extreme ambient temperature data comprises:
sorting all the environmental temperature data in the first group of external environmental data and the second group of external environmental data in a descending order;
m before rejection1Bar ambient temperature data and post m2The ambient temperature data of the strip is recorded,
wherein the step of culling a second predetermined number of extreme ambient humidity data comprises:
sorting all the environmental humidity data in the first set of external environmental data and the second set of external environmental data in a descending order;
n before rejection1Bar ambient humidity data and last n2The ambient humidity data of the strip is read,
wherein m is1、m2、n1、n2Is an integer of 1 or more, m1And m2Is equal to said first predetermined number, n1And n2Is equal to said second predetermined number.
17. The apparatus of claim 11, wherein the step of using the integrated wind speed to calculate a theoretical total value of power output for the wind farm comprises:
calculating respective power output theoretical values of wind generating sets in the wind power plant in grid-connected operation by using the comprehensive wind speed;
and adding the calculated respective power output theoretical values to obtain a power output theoretical total value of the wind power plant.
18. The apparatus of claim 17, wherein the step of calculating respective theoretical values of power output of wind turbine generators operating on grid in the wind farm using the integrated wind speed comprises:
and taking the power value corresponding to the comprehensive wind speed in the respective theoretical power curve of the wind generating set in grid-connected operation as the respective power output theoretical value of the wind generating set in grid-connected operation.
19. A computer-readable storage medium having stored thereon a computer program which, when being executed by a processor, carries out the method of determining icing of a wind park blade of any of claims 1 to 9.
20. A control device of a wind park, the control device comprising:
a processor;
a memory storing a computer program which, when executed by the processor, implements the method of determining wind park blade icing of any of claims 1 to 9.
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