CN108593968A - Method and device for determining correction coefficient of anemometer - Google Patents
Method and device for determining correction coefficient of anemometer Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- 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
- G01P21/02—Testing or calibrating of apparatus or devices covered by the preceding groups of speedometers
- G01P21/025—Testing or calibrating of apparatus or devices covered by the preceding groups of speedometers for measuring speed of fluids; for measuring speed of bodies relative to fluids
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
- G01P5/00—Measuring speed of fluids, e.g. of air stream; Measuring speed of bodies relative to fluids, e.g. of ship, of aircraft
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Abstract
The embodiment of the invention discloses a method and a device for determining a correction coefficient of an anemometer. The method comprises the following steps: obtaining historical wind speed data and historical power data of all wind generating sets in a target wind power plant within a preset time period; aiming at each wind generating set of a target wind power plant, dividing historical wind speed data of the wind generating set into more than one wind speed interval according to a preset division rule; aiming at each wind speed interval, determining an intermediate correction coefficient corresponding to the wind generating set in the wind speed interval according to historical wind speed data and historical power data of the wind generating set; and determining final correction coefficients corresponding to all wind generating sets in the target wind power plant in each wind speed interval according to the intermediate correction coefficients. The method and the device for determining the anemometer correction coefficient can accurately determine the anemometer correction coefficient and improve the generating efficiency and the generating power of the wind generating set.
Description
Technical field
The present invention relates to technical field of wind power generation more particularly to the determination methods and dress of a kind of anemobiagraph correction factor
It sets.
Background technology
In wind power generation field, anemobiagraph is a kind of common sensing component, for wind-force electrical machinery unit whether
It can work normally and play an important role.The wind speed of wind power generating set is the wind speed obtained measured by anemobiagraph
(actual wind speed) is determined with anemobiagraph correction factor.The generating efficiency of the air speed influence wind power generating set of wind power generating set
And generated output.And anemobiagraph correction factor influences the wind speed of wind power generating set, and then anemobiagraph correction factor influences wind
The generating efficiency and generated output of power generator group.
In order to ensure the generating efficiency and generated output of wind power generating set, need to re-start anemobiagraph correction factor
Setting.Currently, re-starting setting mainly using laser radar or anemometer tower to wind-power electricity generation to anemobiagraph correction factor
Unit is detected, and setting is re-started to anemobiagraph correction factor based on detection data.
But laser radar or anemometer tower are only applicable to Plain region.For the complex topographic territory in non-Plain region,
Complicated landform can affect greatly the distinguished and admirable and wind turbulent flow around unit so that more variations are all presented in wind speed, wind direction
Property and uncertainty.In complex topographic territory, the anemobiagraph correction factor being arranged using laser radar or anemometer tower is inaccurate,
And then influence the generating efficiency and generated output of wind power generating set.
Invention content
The embodiment of the present invention provides a kind of determination method and device of anemobiagraph correction factor, can accurately determine wind speed
Instrument correction factor improves the generating efficiency and generated output of wind power generating set.
On the one hand, an embodiment of the present invention provides a kind of determination method of anemobiagraph correction factor, method includes：
Obtain all wind power generating sets historical wind speed data within a predetermined period of time and history work(in target wind farm
Rate data；
For each wind power generating set of target wind farm, according to default division rule, by the wind power generating set
Historical wind speed data are divided into more than one wind speed interval；
It is determined according to the historical wind speed data and historical power data of the wind power generating set for each wind speed interval
Intermediate correction factor of the wind power generating set corresponding to the wind speed interval；
According to intermediate correction factor, determine that all wind power generating sets in target wind farm are right in each wind speed interval institute
The final correction factor answered.
On the other hand, an embodiment of the present invention provides a kind of determining device of anemobiagraph correction factor, device includes：
Module is obtained, for obtaining the historical wind speed of all wind power generating sets within a predetermined period of time in target wind farm
Data and historical power data；
Division module, for each wind power generating set for target wind farm, according to default division rule, by the wind
The historical wind speed data of power generator group are divided into more than one wind speed interval；
First determining module, for being directed to each wind speed interval, according to the historical wind speed data of the wind power generating set and
Historical power data determine intermediate correction factor of the wind power generating set corresponding to the wind speed interval；
Second determining module, for according to intermediate correction factor, determining all wind power generating sets in target wind farm
Final correction factor corresponding to each wind speed interval.
The determination method and device of the anemobiagraph correction factor of the embodiment of the present invention, can accurately determine anemobiagraph amendment
Coefficient improves the generating efficiency and generated output of wind power generating set.
Description of the drawings
In order to illustrate the technical solution of the embodiments of the present invention more clearly, will make below to required in the embodiment of the present invention
Attached drawing is briefly described, for those of ordinary skill in the art, without creative efforts, also
It can be obtain other attached drawings according to these attached drawings.
Fig. 1 shows the first flow signal of the determination method of anemobiagraph correction factor provided in an embodiment of the present invention
Figure；
Fig. 2 shows the signals of second of flow of the determination method of anemobiagraph correction factor provided in an embodiment of the present invention
Figure；
Fig. 3 shows the first structural representation of the determining device of anemobiagraph correction factor provided in an embodiment of the present invention
Figure；
Fig. 4 shows second of structural representation of the determining device of anemobiagraph correction factor provided in an embodiment of the present invention
Figure.
Specific implementation mode
The feature and exemplary embodiment of various aspects of the invention is described more fully below, in order to make the mesh of the present invention
, technical solution and advantage be more clearly understood, with reference to the accompanying drawings and embodiments, the present invention is further retouched in detail
It states.It should be understood that specific embodiment described herein is only configured to explain the present invention, it is not configured as limiting the present invention.
To those skilled in the art, the present invention can be real in the case of some details in not needing these details
It applies.Below to the description of embodiment just for the sake of by showing that the example of the present invention is better understood from the present invention to provide.
It should be noted that herein, relational terms such as first and second and the like are used merely to a reality
Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation
In any actual relationship or order or sequence.Moreover, the terms "include", "comprise" or its any other variant are intended to
Non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only wanted including those
Element, but also include other elements that are not explicitly listed, or further include for this process, method, article or equipment
Intrinsic element.In the absence of more restrictions, the element limited by sentence " including ... ", it is not excluded that including
There is also other identical elements in the process, method, article or equipment of the element.
As shown in Figure 1, Fig. 1 shows the first of the determination method of anemobiagraph correction factor provided in an embodiment of the present invention
Flow diagram.The determination method of anemobiagraph correction factor may include：
S101：It obtains the historical wind speed data of all wind power generating sets within a predetermined period of time in target wind farm and goes through
History power data.
S102：For each wind power generating set of target wind farm, according to default division rule, by the wind-driven generator
The historical wind speed data of group are divided into more than one wind speed interval.
S103：For each wind speed interval, according to the historical wind speed data and historical power data of the wind power generating set,
Determine intermediate correction factor of the wind power generating set corresponding to the wind speed interval.
S104：According to intermediate correction factor, determine all wind power generating sets in target wind farm in each wind speed area
Between corresponding final correction factor.
It is understood that the historical wind speed data obtained are the wind speed (actual wind speed) obtained measured by anemobiagraph
It is determined with the history correction factor of anemobiagraph, that is, the historical wind speed data obtained are to be repaiied by the history correction factor of anemobiagraph
Air speed data after just.
It is also understood that, it is for intermediate correction factor of a certain wind power generating set corresponding to a certain wind speed interval
The intermediate correction factor for being the anemobiagraph in the wind power generating set corresponding to the wind speed interval；For a certain wind-force
Final correction factor of the generating set corresponding to a certain wind speed interval is the anemobiagraph being mounted in the wind power generating set
Final correction factor corresponding to the wind speed interval.
Illustratively, it is assumed that target wind farm is wind power plant A, and wind power plant A includes 3 wind power generating sets, respectively wind
Power generator group A1, wind power generating set A2 and wind power generating set A3.
It is illustrated by taking wind power generating set A1 as an example below.
Historical wind speed data and historical power data of the wind power generating set A1 of acquisition in continuous 12 months such as 1 institute of table
Show.
Table 1
Assuming that default division rule is：Wind speed be less than 0.25 meter per second, wind speed not less than 0.25 meter per second and less than 0.75 meter/
Second, wind speed not less than 0.75 meter per second and less than 1.25 meter per seconds, wind speed not less than 1.25 meter per seconds and less than 1.75 meters/
Second ..., wind speed is less than 20.75 meter per seconds not less than 20.25 meter per seconds and being respectively divided into a wind speed interval.
It should be noted that default division rule can also be：Wind speed is less than 1 meter per second, wind speed is not less than 1 meter per second and small
In 2 meter per seconds, wind speed not less than 2 meter per seconds and less than 3 meter per seconds ..., wind speed not less than 20 meter per seconds and less than 21 meter per seconds distinguish
It is divided into a wind speed interval.
The embodiment of the present invention is not defined division rule, and any possible dividing mode can be applied to this hair
In bright embodiment.
Then according to above-mentioned division rule, the historical wind speed data of wind power generating set A1 are divided.For the side of statement
Just, below by wind speed be less than 0.25 meter per second corresponding to wind speed interval be referred to as 0 meter of point wind speed, by wind speed not less than 0.25 meter/
Second and be referred to as 0.5 meter of point wind speed less than the wind speed interval corresponding to 0.75 meter per second, by wind speed not less than 0.75 meter per second and small
Wind speed interval corresponding to 1.75 meter per seconds is referred to as 1 meter of point wind speed ... ..., and wind speed not less than 20.25 meter per seconds and is less than
Wind speed interval corresponding to 20.75 meters of seconds is referred to as 20.5 meters of point wind speed.I.e. by wind speed not less than X.25 meter per second and less than X.75
Wind speed interval corresponding to meter per second is referred to as X.5 rice point wind speed；By wind speed not less than X.75 meter per second and less than .25 meters of (X+1)/
Wind speed interval corresponding to second is referred to as X+1 meters of point wind speed.
After the historical wind speed data of wind power generating set are divided into multiple wind speed intervals, for each wind speed area
Between, according to the historical wind speed data and historical power data of the wind power generating set, determine the wind power generating set in the wind speed
Intermediate correction factor corresponding to section.
In one embodiment of the invention, for each wind speed interval, according to the historical wind speed of the wind power generating set
Data and historical power data determine intermediate correction factor of the wind power generating set corresponding to the wind speed interval, can wrap
It includes：For each wind speed interval, according to the historical wind speed data of the wind power generating set, historical power data, default wind speed and
Predetermined power determines intermediate correction factor of the wind power generating set corresponding to the wind speed interval using linear interpolation method.
It is understood that in practical applications, default wind speed is also referred to as design wind speed or guarantee wind speed, presets work(
Rate is also referred to as design power or guarantee power.
Assuming that default wind speed and predetermined power are as shown in table 2.
Table 2
Illustratively, by taking 7.5 meters of point wind speed as an example, it is assumed that the corresponding mean wind speed of 7.5 meters of point wind speed is 7.6 meter per seconds, right
The mean power answered is 700 kilowatts.It should be understood that the corresponding mean wind speed of 7.5 meters of point wind speed is to be obtained in continuous 12 months
The average value of historical wind speed data of the wind speed obtained not less than 7.25 meter per seconds and less than 7.75 meter per seconds, 7.5 meters of point wind speed correspond to
Mean power be the wind speed that is obtained in continuous 12 months not less than 7.25 meter per seconds and be less than the corresponding history of 7.75 meter per seconds
The average value of power data.
As seen from Table 2, it is 700 kilowatts of corresponding design wind speeds without design power, line is used according to the data in table 2
Property interpolation method to obtain design power be 700 kilowatt hours, corresponding design wind speed should be：8+10/ (972-690)=8.04 meter per second.
Assuming that initial anemobiagraph correction factor is 0.82.The practical wind that then the corresponding anemobiagraph of 7.5 meters of point wind speed measures
Speed is 7.6/0.82=9.27 meter per seconds.Then wind power generating set A1 is in the corresponding intermediate correction factor of 7.5 meters of point wind speed：KA1-7.5
=8.04/9.27=0.87.
Namely wind power generating set A1 is in the corresponding intermediate correction factor of 7.5 meters of point wind speed：
KA1-7.5=8.04/7.6*0.82=0.87, wherein 0.82 is initial anemobiagraph correction factor.
It should be noted that KMi-NIndicate that the wind power generating set Mi in wind power plant M puts the corresponding centre of wind speed at N meters and repaiies
Positive coefficient；KMi-N.5Indicate the wind power generating set Mi in wind power plant M in the corresponding intermediate correction factor of N.5 rice point wind speed.
It is similar to and calculates wind power generating set A1 in the process of the corresponding intermediate correction factor of 7.5 meters of point wind speed, can calculate
Obtain wind power generating set A1 0 meter of point, 0.5 meter of point, 1 meter of point, 1.5 points ..., 7 meters of points, 8 meters of points ..., 20.5 meters of points
The corresponding intermediate correction factor of wind speed and wind power generating set A2 and A3 are respectively in 0 meter of point, 0.5 meter o'clock to 20.5 meters point wind speed
Corresponding intermediate correction factor.
It is corresponding in 0 meter of point, 0.5 meter o'clock to 20.5 meters point wind speed respectively when calculating wind power generating set A1, A2 and A3
After intermediate correction factor, determine all wind power generating set A1, A2 and A3 in wind power plant A corresponding to each wind speed interval
Final correction factor.
In one embodiment of the invention, according to intermediate correction factor, all wind-force hair in target wind farm is determined
Final correction factor of the motor group corresponding to each wind speed interval may include：For each wind speed interval, by target wind-powered electricity generation
All wind power generating sets in are determined as target wind in the average value of the corresponding intermediate correction factor of the wind speed interval
Final correction factor of all wind power generating sets corresponding to the wind speed interval in electric field.
Illustratively, it is also illustrated by taking 7.5 meters of point wind speed as an example.
Determine that intermediate correction factors of the wind power generating set A1 corresponding to 7.5 meters of point wind speed is in wind power plant A
KA1-7.5；Determine that intermediate correction factors of the wind power generating set A2 corresponding to 7.5 meters of point wind speed is K in wind power plant AA2-7.5；
Determine that intermediate correction factors of the wind power generating set A3 corresponding to 7.5 meters of point wind speed is K in wind power plant AA3-7.5.Then will
KA1-7.5、KA2-7.5And KA3-7.5Average value, be determined as all wind power generating set A1, A2 and A3 in wind power plant A at 7.5 meters
Final correction factor corresponding to point wind speed.
In one embodiment of the invention, according to intermediate correction factor, all wind-force hair in target wind farm is determined
Final correction factor of the motor group corresponding to each wind speed interval may include：For each wind speed interval, target wind is calculated
The the first average correction factor of all wind power generating sets in electric field in the corresponding intermediate correction factor of the wind speed interval；
It according to the first average correction factor, calculates under the wind speed interval, each wind power generating set is based on correcting in target wind farm
First square and first variance of the target wind farm based on correction factor of the deviation of coefficient；It is flat by target wind farm first
Side be less than first variance corresponding to wind power generating set the corresponding intermediate correction factor of the wind speed interval average value,
It is determined as final correction factor of all wind power generating sets in target wind farm corresponding to the wind speed interval.
Illustratively, it is also illustrated by taking 7.5 meters of point wind speed as an example.
Determine that intermediate correction factors of the wind power generating set A1 corresponding to 7.5 meters of point wind speed is in wind power plant A
KA1-7.5；Determine that intermediate correction factors of the wind power generating set A2 corresponding to 7.5 meters of point wind speed is K in wind power plant AA2-7.5；
Determine that intermediate correction factors of the wind power generating set A3 corresponding to 7.5 meters of point wind speed is K in wind power plant AA3-7.5。
All wind power generating set A1, A2 and A3 in wind power plant A are calculated in the corresponding centre of 7.5 meters of point wind speed
The average correction factor of the first of correction factor is KA-7.5。
It should be noted that KM-NIndicate that wind power plant M puts the corresponding average correction factor of wind speed at N meters；KM-N.5Indicate wind-powered electricity generation
Field M is in the corresponding average correction factor of N.5 rice point wind speed.
Calculate deviations of the wind power generating set A1 based on correction factor in wind power plant A square be (KA1-7.5-KA-7.5
)2。
Calculate deviations of the wind power generating set A2 based on correction factor in wind power plant A square be (KA2-7.5-KA-7.5
)2。
Calculate deviations of the wind power generating set A3 based on correction factor in wind power plant A square be (KA3-7.5-KA-7.5
)2。
It is P1 to calculate variances of the wind power plant A based on correction factor.It is understood that P1 is the flat of above-mentioned each deviation
The average value of the sum of side.
If (KA1-7.5-KA-7.5)2Less than P1, (KA2-7.5-KA-7.5)2Not less than P1, (KA3-7.5-KA-7.5)2Less than P1, then will
KA1-7.5And KA3-7.5Average value, be determined as all wind power generating set A1, A2 and A3 in wind power plant A in 7.5 meters of point wind speed
Corresponding final correction factor.
In one embodiment of the invention, according to intermediate correction factor, all wind-force hair in target wind farm is determined
Final correction factor of the motor group corresponding to each wind speed interval, including：Obtain each wind-driven generator in other wind power plants
The historical wind speed data and historical power data of group；According to the historical wind speed data and historical power data obtained, it is determined
Intermediate correction factor of each wind power generating set corresponding to each wind speed interval in his wind power plant；For each wind speed area
Between, according to intermediate amendment of each wind power generating set in target wind farm and other wind power plants corresponding to the wind speed interval
Coefficient determines final correction factor of all wind power generating sets in target wind farm corresponding to the wind speed interval.
Illustratively, it is assumed that other wind power plants are wind power plant B and wind power plant C, and wind power plant B includes 2 wind power generating sets,
Respectively wind power generating set B1 and wind power generating set B2；Wind power plant C includes 3 wind power generating sets, and respectively wind-force is sent out
Motor group C1, wind power generating set C2 and wind power generating set C3.
Obtain historical wind speed data and historical power data and the acquisition of wind power plant B and each wind power generating sets of wind power plant C
The historical wind speed data of each wind power generating sets of wind power plant A are similar with the process of historical power data, and the embodiment of the present invention is herein
It is not repeated.
It is illustrated by taking 7.5 meters of point wind speed as an example further below.
Determine that intermediate correction factors of the wind power generating set B1 corresponding to 7.5 meters of point wind speed is in wind power plant B
KB1-7.5；Determine that intermediate correction factors of the wind power generating set B2 corresponding to 7.5 meters of point wind speed is K in wind power plant BB2-7.5；
Determine that intermediate correction factors of the wind power generating set C1 corresponding to 7.5 meters of point wind speed is K in wind power plant CC1-7.5；It determines
Intermediate correction factors of the wind power generating set C2 corresponding to 7.5 meters of point wind speed is K in wind power plant CC2-7.5；Determine wind power plant C
Intermediate correction factors of the middle wind power generating set C3 corresponding to 7.5 meters of point wind speed is KC3-7.5。
Then according to KA1-7.5、KA2-7.5、KA3-7.5、KB1-7.5、KB2-7.5、KC1-7.5、KC2-7.5And KC3-7.5, determine in wind power plant A
Final correction factor corresponding to 7.5 meters of point wind speed of all wind power generating set A1, A2 and A3.
In one embodiment of the invention, for each wind speed interval, according in target wind farm and other wind power plants
Intermediate correction factor of each wind power generating set corresponding to the wind speed interval, determine all wind-force in target wind farm
Final correction factor of the generating set corresponding to the wind speed interval, including：For each wind speed interval, by target wind farm and
All wind power generating sets in other wind power plants are determined in the average value of the corresponding intermediate correction factor of the wind speed interval
For final correction factor of all wind power generating sets in target wind farm corresponding to the wind speed interval.
Illustratively, it is also illustrated by taking 7.5 meters of point wind speed as an example.
Then by KA1-7.5、KA2-7.5、KA3-7.5、KB1-7.5、KB2-7.5、KC1-7.5、KC2-7.5And KC3-7.5Average value, be determined as wind
The final correction factor of all wind power generating set A1, A2 and A3 corresponding to 7.5 meters of point wind speed in electric field A.It is appreciated that
, average value at this time can also be confirmed as all wind power generating set B1, B2 in wind power plant B and wind power plant C, C1,
Final correction factors of the C2 and C3 corresponding to 7.5 meters of point wind speed.
In one embodiment of the invention, for each wind speed interval, according in target wind farm and other wind power plants
Intermediate correction factor of each wind power generating set corresponding to the wind speed interval, determine all wind-force in target wind farm
Final correction factor of the generating set corresponding to the wind speed interval, including：For each wind speed interval, target wind farm is calculated
With all wind power generating sets in other wind power plants in the second average of the corresponding intermediate correction factor of the wind speed interval
Correction factor；It according to the second average correction factor, calculates under the wind speed interval, in target wind farm and other wind power plants, often
Second square of deviation of one wind power generating set based on correction factor and target wind farm and other wind power plants are based on correcting
The second variance of coefficient；By in target wind farm and other wind power plants, the wind-force hair that second square is less than corresponding to second variance
Motor group, in the average value of the corresponding intermediate correction factor of the wind speed interval, all wind for being determined as in target wind farm
Final correction factor of the power generator group corresponding to the wind speed interval.
Illustratively, it is also illustrated by taking 7.5 meters of point wind speed as an example.
All wind power generating sets in all wind power plants are calculated in the corresponding intermediate amendment system of 7.5 meters of point wind speed
The average correction factor of several second is K7.5。
It should be noted that KNIt is corresponding average to indicate that all wind power generating sets of all wind power plants put wind speed at N meters
Correction factor；KN.5Indicate all wind power generating sets of all wind power plants in the corresponding average correction factor of N.5 rice point wind speed.
Calculate deviations of the wind power generating set A1 based on correction factor in wind power plant A square be (KA1-7.5-K7.5
)2。
Calculate deviations of the wind power generating set A2 based on correction factor in wind power plant A square be (KA2-7.5-K7.5
)2。
Calculate deviations of the wind power generating set A3 based on correction factor in wind power plant A square be (KA3-7.5-K7.5
)2。
Calculate deviations of the wind power generating set B1 based on correction factor in wind power plant B square be (KB1-7.5-K7.5
)2。
Calculate deviations of the wind power generating set B2 based on correction factor in wind power plant B square be (KB2-7.5-K7.5
)2。
Calculate deviations of the wind power generating set C1 based on correction factor in wind power plant C square be (KC1-7.5-K7.5
)2。
Calculate deviations of the wind power generating set C2 based on correction factor in wind power plant C square be (KC2-7.5-K7.5
)2。
Calculate deviations of the wind power generating set C3 based on correction factor in wind power plant C square be (KC3-7.5-K7.5
)2。
It is P2 to calculate variance of all wind power plants based on correction factor.It is understood that P2 is above-mentioned each deviation
The sum of square average value.
If (KA1-7.5-K7.5)2、(KA3-7.5-K7.5)2、(KB1-7.5-K7.5)2、(KB2-7.5-K7.5)2、(KC1-7.5-K7.5)2With
(KC2-7.5-K7.5)2Respectively less than P2；(KA2-7.5-K7.5)2(KC3-7.5-KA-7.5)2It is not less than P2.
Then by KA1-7.5、KA3-7.5、KB1-7.5、KB2-7.5、KC1-7.5And KC2-7.5Average value, the institute being determined as in wind power plant A
There is the final correction factor of wind power generating set A1, A2 and A3 corresponding to 7.5 meters of point wind speed.It is understood that at this time
Average value can also be confirmed as all wind power generating set B1, B2, C1, C2 and C3 in wind power plant B and wind power plant C 7.5
Final correction factor corresponding to rice point wind speed.
In one embodiment of the invention, for each wind speed interval, according in target wind farm and other wind power plants
Intermediate correction factor of each wind power generating set corresponding to the wind speed interval, determine all wind-force in target wind farm
Final correction factor of the generating set corresponding to the wind speed interval may include：For each wind power plant and each wind speed
Section, calculate all wind power generating sets in the wind power plant the corresponding intermediate correction factor of the wind speed interval third
Average correction factor；It is averaged correction factor, is calculated under the wind speed interval, each wind-driven generator in the wind power plant according to third
Third variance of the third square and target wind farm of deviation of the group based on correction factor based on correction factor；Selection is in the wind
Under fast section, third square is less than the corresponding intermediate amendment of the wind power generating set corresponding to third variance in the wind power plant
Coefficient.For all wind power plants and each wind speed interval, calculate the of the selected intermediate correction factor of the wind speed interval
Four average correction factors；According to the 4th average correction factor, calculate under the wind speed interval, selected intermediate correction factor point
The 4th square of not corresponding deviation of the wind power generating set based on correction factor and selected correction factor correspond to respectively
Fourth variance of the wind power generating set based on correction factor；By the corresponding wind-power electricity generation of selected intermediate correction factor
In unit, the 4th square be less than the 4th variance corresponding to wind power generating set, repaiied in the corresponding centre of the wind speed interval
The average value of positive coefficient, all wind power generating sets being determined as in target wind farm finally repairing corresponding to the wind speed interval
Positive coefficient.
Illustratively, it is also illustrated by taking 7.5 meters of point wind speed as an example.
For wind power plant A, determine that wind power generating set A1 is repaiied the centre corresponding to 7.5 meters of point wind speed in wind power plant A
Positive coefficient is KA1-7.5；Determine intermediate correction factors of the wind power generating set A2 corresponding to 7.5 meters of point wind speed in wind power plant A
For KA2-7.5；Determine that intermediate correction factors of the wind power generating set A3 corresponding to 7.5 meters of point wind speed is in wind power plant A
KA3-7.5.All wind power generating set A1, A2 and the A3 calculated in wind power plant A are repaiied in the corresponding centre of 7.5 meters of point wind speed
The average correction factor of positive coefficient is KA-7.5。
Calculate deviations of the wind power generating set A1 based on correction factor in wind power plant A square be (KA1-7.5-KA-7.5
)2。
Calculate deviations of the wind power generating set A2 based on correction factor in wind power plant A square be (KA2-7.5-KA-7.5
)2。
Calculate deviations of the wind power generating set A3 based on correction factor in wind power plant A square be (KA3-7.5-KA-7.5
)2。
It is P3 to calculate variances of the wind power plant A based on correction factor.It is understood that P3 is the flat of above-mentioned each deviation
The average value of the sum of side.
If (KA1-7.5-KA-7.5)2(KA3-7.5-KA-7.5)2Less than P3, (KA2-7.5-KA-7.5)2Not less than P3, then select
KA1-7.5And KA3-7.5。
For wind power plant B, determine that wind power generating set B1 is repaiied the centre corresponding to 7.5 meters of point wind speed in wind power plant B
Positive coefficient is KB1-7.5；Determine intermediate correction factors of the wind power generating set B2 corresponding to 7.5 meters of point wind speed in wind power plant B
For KB2-7.5.All wind power generating set B1 and B2 calculated in wind power plant B are repaiied in the corresponding centre of 7.5 meters of point wind speed
The average correction factor of positive coefficient is KB-7.5。
Calculate deviations of the wind power generating set B1 based on correction factor in wind power plant B square be (KB1-7.5–KB-7.5
)2。
Calculate deviations of the wind power generating set B2 based on correction factor in wind power plant B square be (KB2-7.5–KB-7.5
)2。
It is P4 to calculate variances of the wind power plant B based on correction factor.It is understood that P4 is the flat of above-mentioned each deviation
The average value of the sum of side.
If (KB1-7.5–KB-7.5)2(KB2-7.5–KB-7.5)2Respectively less than P4 then selects KB1-7.5And KB2-7.5。
For wind power plant C, determine that wind power generating set C1 is repaiied the centre corresponding to 7.5 meters of point wind speed in wind power plant C
Positive coefficient is KC1-7.5；Determine intermediate correction factors of the wind power generating set C2 corresponding to 7.5 meters of point wind speed in wind power plant C
For KC2-7.5；Determine that intermediate correction factors of the wind power generating set C3 corresponding to 7.5 meters of point wind speed is in wind power plant C
KC3-7.5.All wind power generating set C1, C2 and the C3 calculated in wind power plant C are repaiied in the corresponding centre of 7.5 meters of point wind speed
The average correction factor of positive coefficient is KC-7.5。
Calculate deviations of the wind power generating set C1 based on correction factor in wind power plant C square be (KC1-7.5–KC-7.5
)2。
Calculate deviations of the wind power generating set C2 based on correction factor in wind power plant C square be (KC2-7.5–KC-7.5
)2。
Calculate deviations of the wind power generating set C3 based on correction factor in wind power plant C square be (KC3-7.5–KC-7.5
)2。
It is P5 to calculate variances of the wind power plant C based on correction factor.It is understood that P5 is the flat of above-mentioned each deviation
The average value of the sum of side.
If (KC1-7.5–KC-7.5)2(KC3-7.5–KC-7.5)2Respectively less than P5, (KC2-7.5–KC-7.5)2Not less than P3, then select
KC1-7.5And KC3-7.5。
When selecting KA1-7.5、KA3-7.5、KB1-7.5、KB2-7.5、KC1-7.5And KC3-7.5Later, K is calculatedA1-7.5、KA3-7.5、
KB1-7.5、KB2-7.5、KC1-7.5And KC3-7.5Average adjusted coefficient K.
Calculate deviations of the wind power generating set A1 based on correction factor in wind power plant A square be (KA1-7.5-K)2。
Calculate deviations of the wind power generating set A3 based on correction factor in wind power plant A square be (KA3-7.5-K)2。
Calculate deviations of the wind power generating set B1 based on correction factor in wind power plant B square be (KB1-7.5–K)2。
Calculate deviations of the wind power generating set B2 based on correction factor in wind power plant B square be (KB2-7.5-K)2。
Calculate deviations of the wind power generating set C1 based on correction factor in wind power plant C square be (KC1-7.5-K)2。
Calculate deviations of the wind power generating set C3 based on correction factor in wind power plant C square be (KC3-7.5-K)2。
The variance of the correction factor gone out selected by calculating is P6.It is understood that P6 be it is above-mentioned it is each it is selected go out
The corresponding deviation of correction factor the sum of square average value.
If (KA1-7.5-K)2、(KA3-7.5-K)2、(KB2-7.5-K)2、(KC1-7.5-K)2(KC3-7.5-K)2Respectively less than P6；
(KB1-7.5-K)2It is not less than P6.
Then by KA1-7.5、KA3-7.5、KB2-7.5、KC1-7.5And KC3-7.5Average value, all wind-force being determined as in wind power plant A
The final correction factor of generating set A1, A2 and A3 corresponding to 7.5 meters of point wind speed.It is understood that average value at this time
It can also be confirmed as all wind power generating set B1, B2, C1, C2 and C3 in wind power plant B and wind power plant C in 7.5 meters of point wind
Final correction factor corresponding to speed.
It should be noted that above-mentioned with wind power plant A, B, C；Wind power generating set A1, A2, A3, B1, B2, C1, C3 and 7.5
It is illustrated for rice point wind speed, only a specific example of the invention, does not constitute limitation of the invention.
The determination method of the anemobiagraph correction factor of the embodiment of the present invention, even if not by unit if complex topographic territory
The distinguished and admirable influence with wind turbulent flow of surrounding, can accurately determine anemobiagraph correction factor, improve the power generation effect of wind power generating set
Rate and generated output.
Fig. 2 shows second of structural representations of the determining device of anemobiagraph correction factor provided in an embodiment of the present invention
Figure.On the basis of embodiment illustrated in fig. 2 embodiment shown in Fig. 1 of the present invention, increase S105：According to wind speed interval and finally repair
Positive coefficient determines the functional relation between wind speed interval and final correction factor.
In one embodiment of the invention, according to wind speed interval and final correction factor, determine wind speed interval and
When functional relation between final correction factor, least square method can be used.
Wherein, least square method is also known as least squares method, it is a kind of mathematical optimization techniques.It is by minimizing error
Quadratic sum finds the optimal function matching of data.Unknown data can be easily acquired using least square method, and make this
The quadratic sum of error is minimum between the data and real data that acquire a bit.In addition, the main application of least square method one is just
It is curve matching.Wherein, curve matching refers to that curve type appropriate is selected to be fitted observation data, and the curve side of fitting is used in combination
Journey analyzes the relationship between two variables.In simple terms, curve matching is to seek a curve, makes data point in the top from this curve
Or lower section is nearby, required curve is known as matched curve, it can reflect the overall distribution of data and part occurs
Larger fluctuation can more reflect the characteristic of approximated function, make the approximating function acquired and known function on the whole for
Its deviation reaches minimum by some way measurement.Curve matching does not require all known points of curve negotiating, it is required that obtain
Approximate function can reflect the fundamental relation of data.By least square method, two variables (i.e. wind speed interval and final can determine
Correction factor) between functional relation.
Corresponding with above-mentioned embodiment of the method, the embodiment of the present invention also provides a kind of determining dress of anemobiagraph correction factor
It sets.
As shown in figure 3, Fig. 3 shows the first of the determining device of anemobiagraph correction factor provided in an embodiment of the present invention
Structural schematic diagram.The determining device of anemobiagraph correction factor includes：
Module 301 is obtained, for obtaining the history of all wind power generating sets within a predetermined period of time in target wind farm
Air speed data and historical power data.
Division module 302, will according to default division rule for each wind power generating set for target wind farm
The historical wind speed data of the wind power generating set are divided into more than one wind speed interval.
First determining module 303, for being directed to each wind speed interval, according to the historical wind speed data of the wind power generating set
With historical power data, intermediate correction factor of the wind power generating set corresponding to the wind speed interval is determined.
Second determining module 304, for according to intermediate correction factor, determining all wind-driven generators in target wind farm
Final correction factor of the group corresponding to each wind speed interval.
In one embodiment of the invention, the second determining module 304 of the embodiment of the present invention, specifically can be used for：
For each wind speed interval, all wind power generating sets in target wind farm are corresponded to respectively in the wind speed interval
Intermediate correction factor average value, be determined as all wind power generating sets in target wind farm corresponding to the wind speed interval
Final correction factor.
In one embodiment of the invention, the second determining module 304 of the embodiment of the present invention, specifically can be used for：
For each wind speed interval, all wind power generating sets calculated in target wind farm are right respectively in the wind speed interval
The average correction factor of the first of the intermediate correction factor answered；
According to the first average correction factor, calculate under the wind speed interval, each wind power generating set in target wind farm
First square and first variance of the target wind farm based on correction factor of the deviation based on correction factor；
The wind power generating set that first square in target wind farm is less than corresponding to first variance is in the wind speed interval point
The average value of not corresponding intermediate correction factor is determined as all wind power generating sets in target wind farm in the wind speed interval
Corresponding final correction factor.
In one embodiment of the invention, the second determining module 304 of the embodiment of the present invention may include：
First obtain subelement, for obtain each wind power generating set in other wind power plants historical wind speed data and go through
History power data；
First determination subelement, for according to the historical wind speed data and historical power data obtained, determining other wind
Intermediate correction factor of each wind power generating set corresponding to each wind speed interval in electric field；
Second determination subelement, for being directed to each wind speed interval, according to every in target wind farm and other wind power plants
Intermediate correction factor of one wind power generating set corresponding to the wind speed interval, determines all wind-power electricity generations in target wind farm
Final correction factor of the unit corresponding to the wind speed interval.
In one embodiment of the invention, the second determination subelement specifically can be used for：
For each wind speed interval, by all wind power generating sets in target wind farm and other wind power plants in the wind speed
The average value of the corresponding intermediate correction factor in section is determined as all wind power generating sets in target wind farm in the wind
Final correction factor corresponding to fast section.
In one embodiment of the invention, the second determination subelement specifically can be used for：
For each wind speed interval, all wind power generating sets in target wind farm and other wind power plants are calculated in the wind
Second average correction factor of the corresponding intermediate correction factor in fast section；
It according to the second average correction factor, calculates under the wind speed interval, in target wind farm and other wind power plants, each
Second square of deviation of the wind power generating set based on correction factor and target wind farm and other wind power plants are based on correcting
Several second variances；
By in target wind farm and other wind power plants, second square of wind power generating set being less than corresponding to second variance,
In the average value of the corresponding intermediate correction factor of the wind speed interval, all wind-driven generators for being determined as in target wind farm
Final correction factor of the group corresponding to the wind speed interval.
In one embodiment of the invention, the second determination subelement specifically can be used for：
For each wind power plant and each wind speed interval, all wind power generating sets in the wind power plant are calculated in the wind
The third of the corresponding intermediate correction factor in fast section is averaged correction factor；It is averaged correction factor, is calculated at this according to third
Under wind speed interval, the third square and target wind-powered electricity generation of deviation of each wind power generating set based on correction factor in the wind power plant
Third variance of the field based on correction factor；Selection is under the wind speed interval, and third square is less than third variance institute in the wind power plant
The corresponding intermediate correction factor of corresponding wind power generating set；
For all wind power plants and each wind speed interval, calculate in the selected intermediate correction factor of the wind speed interval
4th average correction factor；According to the 4th average correction factor, calculate under the wind speed interval, selected intermediate correction factor
The 4th square of deviation of the corresponding wind power generating set based on correction factor and selected correction factor it is right respectively
Fourth variance of the wind power generating set answered based on correction factor；By the corresponding wind-force hair of selected intermediate correction factor
In motor group, the 4th square be less than the 4th variance corresponding to wind power generating set, in the corresponding centre of the wind speed interval
The average value of correction factor, all wind power generating sets being determined as in target wind farm are final corresponding to the wind speed interval
Correction factor.
In one embodiment of the invention, the first determining module 303 of the embodiment of the present invention, specifically can be used for：
For each wind speed interval, according to the historical wind speed data of the wind power generating set, historical power data, default wind
Speed and predetermined power determine that intermediate correct of the wind power generating set corresponding to the wind speed interval is using linear interpolation method
Number.
The determining device of the anemobiagraph correction factor of the embodiment of the present invention, even if not by unit if complex topographic territory
The distinguished and admirable influence with wind turbulent flow of surrounding, can accurately determine anemobiagraph correction factor, improve the power generation effect of wind power generating set
Rate and generated output.
Fig. 4 shows second of structural representation of the determining device of anemobiagraph correction factor provided in an embodiment of the present invention
Figure.Increase on the basis of embodiment illustrated in fig. 4 embodiment shown in Fig. 3 of the present invention：
Third determining module 305, for according to wind speed interval and final correction factor, determining wind speed interval and finally repairing
Functional relation between positive coefficient.
It should be clear that the invention is not limited in specific configuration described above and shown in figure and processing.
For brevity, it is omitted here the detailed description to known method.In the above-described embodiments, several tools have been described and illustrated
The step of body, is as example.But procedure of the invention is not limited to described and illustrated specific steps, this field
Technical staff can be variously modified, modification and addition after the spirit for understanding the present invention, or suitable between changing the step
Sequence.
Functional block shown in structures described above block diagram can be implemented as hardware, software, firmware or their group
It closes.When realizing in hardware, it may, for example, be electronic circuit, application-specific integrated circuit (ASIC), firmware appropriate, insert
Part, function card etc..When being realized with software mode, element of the invention is used to execute program or the generation of required task
Code section.Either code segment can be stored in machine readable media program or the data-signal by being carried in carrier wave is passing
Defeated medium or communication links are sent." machine readable media " may include any medium for capableing of storage or transmission information.
The example of machine readable media includes electronic circuit, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), soft
Disk, CD-ROM, CD, hard disk, fiber medium, radio frequency (RF) link, etc..Code segment can be via such as internet, inline
The computer network of net etc. is downloaded.
It should also be noted that, the exemplary embodiment referred in the present invention, is retouched based on a series of step or device
State certain methods or system.But the present invention is not limited to the sequence of above-mentioned steps, that is to say, that can be according in embodiment
The sequence referred to executes step, may also be distinct from that the sequence in embodiment or several steps are performed simultaneously.
The above description is merely a specific embodiment, it is apparent to those skilled in the art that,
For convenience of description and succinctly, the system, module of foregoing description and the specific work process of unit can refer to preceding method
Corresponding process in embodiment, details are not described herein.It should be understood that scope of protection of the present invention is not limited thereto, it is any to be familiar with
Those skilled in the art in the technical scope disclosed by the present invention, can readily occur in various equivalent modifications or substitutions,
These modifications or substitutions should be covered by the protection scope of the present invention.
Claims (10)
1. a kind of determination method of anemobiagraph correction factor, which is characterized in that the method includes：
Obtain all wind power generating sets historical wind speed data within a predetermined period of time and historical power number in target wind farm
According to；
For each wind power generating set of the target wind farm, according to default division rule, by the wind power generating set
Historical wind speed data are divided into more than one wind speed interval；
For each wind speed interval the wind is determined according to the historical wind speed data and historical power data of the wind power generating set
Intermediate correction factor of the power generator group corresponding to the wind speed interval；
According to the intermediate correction factor, determine all wind power generating sets in the target wind farm in each wind speed interval
Corresponding final correction factor.
2. according to the method described in claim 1, it is characterized in that, described according to the intermediate correction factor, the mesh is determined
Final correction factor of all wind power generating sets in wind power plant corresponding to each wind speed interval is marked, including：
For each wind speed interval, all wind power generating sets in the target wind farm are corresponded to respectively in the wind speed interval
Intermediate correction factor average value, be determined as all wind power generating sets in the target wind farm in the wind speed interval institute
Corresponding final correction factor.
3. according to the method described in claim 1, it is characterized in that, described according to the intermediate correction factor, the mesh is determined
Final correction factor of all wind power generating sets in wind power plant corresponding to each wind speed interval is marked, including：
For each wind speed interval, all wind power generating sets calculated in the target wind farm are right respectively in the wind speed interval
The average correction factor of the first of the intermediate correction factor answered；
According to the described first average correction factor, calculate under the wind speed interval, each wind-power electricity generation in the target wind farm
First square and first variance of the target wind farm based on correction factor of deviation of the unit based on correction factor；
The wind power generating set that first square described in the target wind farm is less than corresponding to the first variance is in the wind
The average value of the corresponding intermediate correction factor in fast section, all wind power generating sets being determined as in the target wind farm
Final correction factor corresponding to the wind speed interval.
4. according to the method described in claim 1, it is characterized in that, described according to the intermediate correction factor, the mesh is determined
Final correction factor of all wind power generating sets in wind power plant corresponding to each wind speed interval is marked, including：
Obtain the historical wind speed data and historical power data of each wind power generating set in other wind power plants；
According to the historical wind speed data and historical power data obtained, each wind-power electricity generation in other described wind power plants is determined
Intermediate correction factor of the unit corresponding to each wind speed interval；
For each wind speed interval, existed according to each wind power generating set in the target wind farm and other described wind power plants
Intermediate correction factor corresponding to the wind speed interval determines all wind power generating sets in the target wind farm in the wind speed
Final correction factor corresponding to section.
5. according to the method described in claim 4, it is characterized in that, described be directed to each wind speed interval, according to the target wind
Intermediate correction factor of each wind power generating set corresponding to the wind speed interval in electric field and other described wind power plants determines
Final correction factor of all wind power generating sets corresponding to the wind speed interval in the target wind farm, including：
For each wind speed interval, by all wind power generating sets in the target wind farm and other described wind power plants at this
The average value of the corresponding intermediate correction factor of wind speed interval, all wind-driven generators being determined as in the target wind farm
Final correction factor of the group corresponding to the wind speed interval.
6. according to the method described in claim 4, it is characterized in that, described be directed to each wind speed interval, according to the target wind
Intermediate correction factor of each wind power generating set corresponding to the wind speed interval in electric field and other described wind power plants determines
Final correction factor of all wind power generating sets corresponding to the wind speed interval in the target wind farm, including：
For each wind speed interval, all wind power generating sets calculated in the target wind farm and other described wind power plants exist
The average correction factor of the second of the corresponding intermediate correction factor of the wind speed interval；
According to the described second average correction factor, calculate under the wind speed interval, the target wind farm and other described wind-powered electricity generations
In, second square of deviation of each wind power generating set based on correction factor and the target wind farm and it is described other
Second variance of the wind power plant based on correction factor；
By in the target wind farm and other described wind power plants, it is described second square be less than the second variance corresponding to wind
Power generator group is determined as in the average value of the corresponding intermediate correction factor of the wind speed interval in the target wind farm
Final correction factor of all wind power generating sets corresponding to the wind speed interval.
7. according to the method described in claim 4, it is characterized in that, described be directed to each wind speed interval, according to the target wind
Intermediate correction factor of each wind power generating set corresponding to the wind speed interval in electric field and other described wind power plants determines
Final correction factor of all wind power generating sets corresponding to the wind speed interval in the target wind farm, including：
For each wind power plant and each wind speed interval, all wind power generating sets in the wind power plant are calculated in the wind speed area
Between the third of corresponding intermediate correction factor be averaged correction factor；It is averaged correction factor, is calculated at this according to the third
Under wind speed interval, the third square of deviation of each wind power generating set based on correction factor and the target in the wind power plant
Third variance of the wind power plant based on correction factor；Under the wind speed interval, third square described in the wind power plant is less than institute for selection
State the corresponding intermediate correction factor of wind power generating set corresponding to third variance；
For all wind power plants and each wind speed interval, calculate the 4th of the selected intermediate correction factor of the wind speed interval
Average correction factor；According to the described 4th average correction factor, calculate under the wind speed interval, selected intermediate correction factor
The 4th square of deviation of the corresponding wind power generating set based on correction factor and selected correction factor it is right respectively
Fourth variance of the wind power generating set answered based on correction factor；By the corresponding wind-force hair of selected intermediate correction factor
In motor group, it is described 4th square be less than the 4th variance corresponding to wind power generating set, it is right respectively in the wind speed interval
The average value for the intermediate correction factor answered is determined as all wind power generating sets in the target wind farm in the wind speed interval
Corresponding final correction factor.
8. according to the method described in claim 1, it is characterized in that, described be directed to each wind speed interval, according to the wind-power electricity generation
The historical wind speed data and historical power data of unit determine that centre of the wind power generating set corresponding to the wind speed interval is repaiied
Positive coefficient, including：
For each wind speed interval, according to the historical wind speed data of the wind power generating set, historical power data, default wind speed and
Predetermined power determines intermediate correction factor of the wind power generating set corresponding to the wind speed interval using linear interpolation method.
9. according to claim 1-8 any one of them methods, which is characterized in that the method further includes：
According to the wind speed interval and the final correction factor, determine the wind speed interval and the final correction factor it
Between functional relation.
10. a kind of determining device of anemobiagraph correction factor, which is characterized in that described device includes：
Module is obtained, for obtaining the historical wind speed data of all wind power generating sets within a predetermined period of time in target wind farm
With historical power data；
Division module, for each wind power generating set for the target wind farm, according to default division rule, by the wind
The historical wind speed data of power generator group are divided into more than one wind speed interval；
First determining module, for being directed to each wind speed interval, according to the historical wind speed data and history of the wind power generating set
Power data determines intermediate correction factor of the wind power generating set corresponding to the wind speed interval；
Second determining module, for according to the intermediate correction factor, determining all wind-power electricity generations in the target wind farm
Final correction factor of the unit corresponding to each wind speed interval.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110346604A (en) * | 2019-05-27 | 2019-10-18 | 华电电力科学研究院有限公司 | A kind of online check method for wind-driven generator anemobiagraph |
| CN113848347A (en) * | 2021-07-29 | 2021-12-28 | 尚特杰电力科技有限公司 | Health state detection method for wind meter of wind driven generator |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080307853A1 (en) * | 2007-06-18 | 2008-12-18 | Thomas Siebers | Anemometer calibration method and wind turbine |
| CN102496926A (en) * | 2011-12-16 | 2012-06-13 | 中国电力科学研究院 | Method for judging and processing wind farm power prediction input data |
| CN102495230A (en) * | 2011-11-29 | 2012-06-13 | 中能电力科技开发有限公司 | Correction method used for prediction of wind speed |
| CN102767472A (en) * | 2012-07-18 | 2012-11-07 | 华北电力大学 | Extracting method of power curve of wind generating set |
| WO2015097795A1 (en) * | 2013-12-25 | 2015-07-02 | 株式会社日立製作所 | Wind-speed evaluation method, power generation amount estimation method, output and voltage estimation method, placement method for wind power generator, and wind-speed evaluation device |
| CN105628977A (en) * | 2015-12-31 | 2016-06-01 | 新疆金风科技股份有限公司 | Calibration method, device and system of anemometer correction coefficient |
| CN107092989A (en) * | 2017-04-28 | 2017-08-25 | 北京天诚同创电气有限公司 | The Forecasting Methodology and equipment of short-term wind-electricity power |
-
2017
- 2017-12-08 CN CN201711294987.2A patent/CN108593968B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080307853A1 (en) * | 2007-06-18 | 2008-12-18 | Thomas Siebers | Anemometer calibration method and wind turbine |
| CN102495230A (en) * | 2011-11-29 | 2012-06-13 | 中能电力科技开发有限公司 | Correction method used for prediction of wind speed |
| CN102496926A (en) * | 2011-12-16 | 2012-06-13 | 中国电力科学研究院 | Method for judging and processing wind farm power prediction input data |
| CN102767472A (en) * | 2012-07-18 | 2012-11-07 | 华北电力大学 | Extracting method of power curve of wind generating set |
| WO2015097795A1 (en) * | 2013-12-25 | 2015-07-02 | 株式会社日立製作所 | Wind-speed evaluation method, power generation amount estimation method, output and voltage estimation method, placement method for wind power generator, and wind-speed evaluation device |
| CN105628977A (en) * | 2015-12-31 | 2016-06-01 | 新疆金风科技股份有限公司 | Calibration method, device and system of anemometer correction coefficient |
| CN107092989A (en) * | 2017-04-28 | 2017-08-25 | 北京天诚同创电气有限公司 | The Forecasting Methodology and equipment of short-term wind-electricity power |
Non-Patent Citations (1)
| Title |
|---|
| 叶林 等: "基于空间相关性的风电功率预测研究综述", 《电力系统自动化》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110346604A (en) * | 2019-05-27 | 2019-10-18 | 华电电力科学研究院有限公司 | A kind of online check method for wind-driven generator anemobiagraph |
| CN113848347A (en) * | 2021-07-29 | 2021-12-28 | 尚特杰电力科技有限公司 | Health state detection method for wind meter of wind driven generator |
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|---|---|
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