CN108593968B - 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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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 invention relates to the technical field of wind power generation, in particular to a method and a device for determining a correction coefficient of an anemometer.
Background
In the field of wind power generation, an anemoscope is a common sensing component, and plays an extremely important role in whether a wind power motor unit can normally work or not. The wind speed of the wind generating set is determined according to the wind speed (actual wind speed) measured by the anemometer and the correction coefficient of the anemometer. The wind speed of the wind generating set affects the generating efficiency and generating power of the wind generating set. The anemometer correction coefficient influences the wind speed of the wind generating set, and further influences the generating efficiency and generating power of the wind generating set.
In order to ensure the generating efficiency and generating power of the wind generating set, the correction coefficient of the anemometer needs to be reset. Currently, the resetting of the anemometer correction coefficient mainly includes detecting the wind generating set by using a laser radar or a wind measuring tower, and resetting the anemometer correction coefficient based on detection data.
However, laser radar or anemometer towers are only suitable for use in plain areas. For a complex terrain area which is not a plain area, the complex terrain has a large influence on wind flow and wind turbulence around the unit, so that the wind speed and the wind direction show more variability and uncertainty. In a complicated terrain area, the correction coefficient of the anemoscope set by the laser radar or the anemometer tower is inaccurate, so that the generating efficiency and the generating power of the wind generating set are influenced.
Disclosure of Invention
The embodiment of the invention provides a method and a device for determining a correction coefficient of an anemoscope, which can accurately determine the correction coefficient of the anemoscope and improve the generating efficiency and generating power of a wind generating set.
In one aspect, an embodiment of the present invention provides a method for determining a correction coefficient of an anemometer, where the method includes:
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.
On the other hand, an embodiment of the present invention provides an apparatus for determining a correction coefficient of an anemometer, where the apparatus includes:
the obtaining module is used for 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;
the system comprises a dividing module, a judging module and a control module, wherein the dividing module is used for dividing the historical wind speed data of each wind generating set of a target wind power plant into more than one wind speed interval according to a preset dividing rule;
the first determining module is used for determining a middle correction coefficient corresponding to the wind generating set in each wind speed interval according to historical wind speed data and historical power data of the wind generating set;
and the second determining module is used for 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.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the embodiments of the present invention will be briefly described below, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 shows a first schematic flow chart of a method for determining anemometer correction factors according to an embodiment of the present invention;
FIG. 2 shows a second schematic flow chart of a method for determining anemometer correction factor according to an embodiment of the present invention;
FIG. 3 shows a first schematic configuration of the apparatus for determining the correction factor of an anemometer according to an embodiment of the present invention;
fig. 4 is a second schematic structural diagram of the apparatus for determining the correction coefficient of the anemometer according to the embodiment of the present invention.
Detailed Description
Features and exemplary embodiments of various aspects of the present invention will be described in detail below, and in order to make objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not to be construed as limiting the invention. It will be apparent to one skilled in the art that the present invention may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present invention by illustrating examples of the present invention.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
As shown in fig. 1, fig. 1 is a first flowchart illustrating a method for determining a correction coefficient of an anemometer according to an embodiment of the present invention. The determination method of the anemometer correction coefficient can comprise the following steps:
s101: and obtaining historical wind speed data and historical power data of all wind generating sets in the target wind power plant in a preset time period.
S102: and aiming at each wind generating set of the target wind power plant, dividing the historical wind speed data of the wind generating set into more than one wind speed interval according to a preset division rule.
S103: and aiming at each wind speed interval, determining an intermediate correction coefficient corresponding to the wind generating set in the wind speed interval according to the historical wind speed data and the historical power data of the wind generating set.
S104: 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.
It can be understood that the obtained historical wind speed data is determined according to the wind speed measured by the anemometer (actual wind speed) and the historical correction coefficient of the anemometer, that is, the obtained historical wind speed data is wind speed data corrected by the historical correction coefficient of the anemometer.
It can also be understood that the intermediate correction coefficient corresponding to a certain wind speed interval of a certain wind generating set is the intermediate correction coefficient corresponding to the wind speed interval of an anemoscope installed on the wind generating set; and the final correction coefficient corresponding to a certain wind speed interval of a certain wind generating set is the final correction coefficient corresponding to the wind speed interval of an anemometer installed on the wind generating set.
For example, assume that the target wind farm is wind farm a, which includes 3 wind turbine generators, wind turbine generator a1, wind turbine generator a2, and wind turbine generator A3, respectively.
The following description will take the wind turbine generator system a1 as an example.
The obtained historical wind speed data and historical power data of the wind generating set A1 in 12 consecutive months are shown in Table 1.
TABLE 1
Assuming that the preset division rule is as follows: the wind speed is less than 0.25 m/s, the wind speed is not less than 0.25 m/s and less than 0.75 m/s, the wind speed is not less than 0.75 m/s and less than 1.25 m/s, the wind speed is not less than 1.25 m/s and less than 1.75 m/s, … …, and the wind speed is not less than 20.25 m/s and less than 20.75 m/s are divided into a wind speed interval respectively.
It should be noted that the preset division rule may also be: the wind speed is less than 1 m/s, the wind speed is not less than 1 m/s and less than 2 m/s, the wind speed is not less than 2 m/s and less than 3 m/s, … …, and the wind speed is not less than 20 m/s and less than 21 m/s, and the wind speed interval is divided into a wind speed interval respectively.
The embodiment of the present invention does not limit the partitioning rule, and any possible partitioning manner can be applied to the embodiment of the present invention.
The historical wind speed data of the wind turbine generator set A1 is divided according to the division rule. For convenience of description, a wind speed interval corresponding to a wind speed of less than 0.25 m/s is referred to as a 0 m point wind speed, a wind speed interval corresponding to a wind speed of not less than 0.25 m/s and less than 0.75 m/s is referred to as a 0.5 m point wind speed, a wind speed interval corresponding to a wind speed of not less than 0.75 m/s and less than 1.75 m/s is referred to as a1 m point wind speed, and … …, and a wind speed interval corresponding to a wind speed of not less than 20.25 m/s and less than 20.75 m/s is referred to as a 20.5 m point wind speed. Namely, a wind speed interval corresponding to the wind speed not less than X.25 m/s and less than X.75 m/s is called as X.5 m point wind speed; a wind speed interval corresponding to the wind speed not less than X.75 m/s and less than (X +1) and 25 m/s is called as the point wind speed of X +1 m.
After dividing the historical wind speed data of the wind generating set into a plurality of wind speed intervals, determining an intermediate correction coefficient corresponding to the wind generating set in each wind speed interval according to the historical wind speed data and the historical power data of the wind generating set.
In an embodiment of the present invention, for each wind speed interval, determining an intermediate correction coefficient corresponding to the wind generating set in the wind speed interval according to the historical wind speed data and the historical power data of the wind generating set may include: and aiming at each wind speed interval, determining a middle correction coefficient corresponding to the wind generating set in the wind speed interval by adopting a linear interpolation method according to the historical wind speed data, the historical power data, the preset wind speed and the preset power of the wind generating set.
It will be appreciated that in practice, the preset wind speed is also referred to as the design wind speed or the guaranteed wind speed, and the preset power is also referred to as the design power or the guaranteed power.
It is assumed that the preset wind speed and the preset power are as shown in table 2.
TABLE 2
For example, a wind speed of 7.5 meters is taken as an example, and it is assumed that the wind speed of 7.5 meters corresponds to an average wind speed of 7.6 meters/second and an average power of 700 kilowatts. It is understood that the average wind speed corresponding to the 7.5 m point wind speed is an average value of historical wind speed data obtained within 12 consecutive months, wherein the wind speed is not less than 7.25 m/s and less than 7.75 m/s, and the average power corresponding to the 7.5 m point wind speed is an average value of historical power data obtained within 12 consecutive months, wherein the wind speed is not less than 7.25 m/s and less than 7.75 m/s.
As can be seen from table 2, there is no design wind speed corresponding to the design power of 700 kw, and the linear interpolation method is used to obtain the design power of 700 kw according to the data in table 2, and the corresponding design wind speed should be: 8+10/(972-690) is 8.04 m/s.
Assume an initial anemometer correction factor of 0.82. The actual wind speed measured by the anemometer corresponding to the 7.5 m point wind speed is 9.27 m/s, which is 7.6/0.82 m/s. And the wind generating set A1 has an intermediate correction coefficient corresponding to the wind speed at the 7.5 m point: kA1-7.5＝8.04/9.27＝0.87。
Namely, the wind generating set A1 has an intermediate correction coefficient corresponding to the wind speed at the 7.5 m point:
KA1-7.58.04/7.6 × 0.82 is 0.87, where 0.82 is the initial anemometer correction factor.
In addition, K isMi-NRepresenting a middle correction coefficient corresponding to the wind speed of a wind generating set Mi in the wind power plant M at a point of N meters; kMi-N.5And representing the intermediate correction coefficient corresponding to the wind speed of the wind generating set Mi in the wind power plant M at the point of N.5 meters.
Similar to the process of calculating the intermediate correction coefficient corresponding to the wind speed of the wind generating set A1 at the point of 7.5 meters, the intermediate correction coefficients corresponding to the wind speeds of the wind generating set A1 at the points of 0 meter, 0.5 meter, 1 meter, 1.5 meter, … …, 7 meter, 8 meter, … … and 20.5 meter can be calculated, and the intermediate correction coefficients corresponding to the wind speeds of the wind generating sets A2 and A3 at the points of 0 meter, 0.5 meter and 20.5 meter can be calculated.
After calculating the intermediate correction coefficients corresponding to the wind speeds of the wind generating sets A1, A2 and A3 at the 0 meter point, the 0.5 meter point and the 20.5 meter point respectively, determining the final correction coefficients corresponding to all the wind generating sets A1, A2 and A3 in the wind farm A in each wind speed interval.
In an embodiment of the present invention, determining a final correction coefficient corresponding to each wind speed interval for all wind generating sets in the target wind farm according to the intermediate correction coefficient may include: and determining the average value of the intermediate correction coefficients respectively corresponding to all the wind generating sets in the target wind power plant in the wind speed interval as the final correction coefficient corresponding to all the wind generating sets in the target wind power plant in the wind speed interval aiming at each wind speed interval.
For example, a 7.5 meter wind speed is also taken as an example for illustration.
Determining that the intermediate correction coefficient corresponding to the wind speed of the wind generating set A1 at the 7.5 m point in the wind farm A is KA1-7.5(ii) a Determining that the intermediate correction coefficient corresponding to the wind speed of the wind generating set A2 at the 7.5 m point in the wind farm A is KA2-7.5(ii) a Determining that the intermediate correction coefficient corresponding to the wind speed of the wind generating set A3 at the 7.5 m point in the wind farm A is KA3-7.5. Then K will beA1-7.5、KA2-7.5And KA3-7.5Is determined as the final correction coefficient corresponding to the wind speed of all wind generating sets A1, A2 and A3 in the wind farm A at the point of 7.5 meters.
In an embodiment of the present invention, determining a final correction coefficient corresponding to each wind speed interval for all wind generating sets in the target wind farm according to the intermediate correction coefficient may include: calculating first average correction coefficients of the intermediate correction coefficients respectively corresponding to all wind generating sets in the target wind power plant in each wind speed interval; according to the first average correction coefficient, calculating a first square of deviation of each wind generating set in the target wind power plant based on the correction coefficient and a first variance of the target wind power plant based on the correction coefficient in the wind speed interval; and determining the average value of the intermediate correction coefficients respectively corresponding to the wind generating sets corresponding to the first variance in the target wind power plant in the wind speed interval as the final correction coefficients corresponding to all the wind generating sets in the target wind power plant in the wind speed interval.
For example, a 7.5 meter wind speed is also taken as an example for illustration.
Determining that the intermediate correction coefficient corresponding to the wind speed of the wind generating set A1 at the 7.5 m point in the wind farm A is KA1-7.5(ii) a Determining that the intermediate correction coefficient corresponding to the wind speed of the wind generating set A2 at the 7.5 m point in the wind farm A is KA2-7.5(ii) a Determining that the intermediate correction coefficient corresponding to the wind speed of the wind generating set A3 at the 7.5 m point in the wind farm A is KA3-7.5。
Calculating the first average correction coefficient K of the intermediate correction coefficients respectively corresponding to the wind speeds of all the wind generating sets A1, A2 and A3 in the wind power plant A at the 7.5-meter pointA-7.5。
In addition, K isM-NRepresenting an average correction coefficient corresponding to the wind speed of the wind power plant M at a point of N meters; kM-N.5And representing the average correction coefficient corresponding to the wind speed of the wind power plant M at the point of N.5 meters.
The square of the dispersion of the wind generating set A1 in the wind farm A based on the correction coefficient is calculated as (K)A1-7.5-KA-7.5)2。
The square of the dispersion of the wind generating set A2 in the wind farm A based on the correction coefficient is calculated as (K)A2-7.5-KA-7.5)2。
The square of the dispersion of the wind generating set A3 in the wind farm A based on the correction coefficient is calculated as (K)A3-7.5-KA-7.5)2。
And calculating the variance of the wind farm A based on the correction coefficient to be P1. It will be appreciated that P1 is the average of the sum of the squares of the individual deviations described above.
If (K)A1-7.5-KA-7.5)2Less than P1, (K)A2-7.5-KA-7.5)2Not less than P1, (K)A3-7.5-KA-7.5)2Less than P1, then K is addedA1-7.5And KA3-7.5Is determined as the final correction coefficient corresponding to the wind speed of all wind generating sets A1, A2 and A3 in the wind farm A at the point of 7.5 meters.
In an embodiment of the present invention, determining a final correction coefficient corresponding to each wind speed interval for all wind generating sets in the target wind farm according to the intermediate correction coefficient includes: obtaining historical wind speed data and historical power data of each wind generating set in other wind power plants; determining an intermediate correction coefficient corresponding to each wind generating set in other wind power plants in each wind speed interval according to the obtained historical wind speed data and historical power data; and determining final correction coefficients corresponding to all wind generating sets in the target wind power plant in the wind speed interval according to the intermediate correction coefficients corresponding to the wind speed interval of each wind generating set in the target wind power plant and other wind power plants in each wind speed interval.
For example, assuming that other wind farms are a wind farm B and a wind farm C, the wind farm B comprises 2 wind generating sets, namely a wind generating set B1 and a wind generating set B2; the wind farm C comprises 3 wind generating sets, namely a wind generating set C1, a wind generating set C2 and a wind generating set C3.
The process of obtaining the historical wind speed data and the historical power data of each wind generating set of the wind power plant B and the wind power plant C is similar to the process of obtaining the historical wind speed data and the historical power data of each wind generating set of the wind power plant A, and the process is not repeated herein.
The following description will be given by taking a 7.5 m point wind speed as an example.
Determining that the intermediate correction coefficient corresponding to the wind speed of the wind generating set B1 in the wind power plant B at the 7.5 m point is KB1-7.5(ii) a Determining that the intermediate correction coefficient corresponding to the wind speed of the wind generating set B2 in the wind power plant B at the 7.5 m point is KB2-7.5(ii) a Determining that the intermediate correction coefficient corresponding to the wind speed of the wind generating set C1 in the wind power plant C at the 7.5 m point is KC1-7.5(ii) a Determining that the intermediate correction coefficient corresponding to the wind speed of the wind generating set C2 in the wind power plant C at the 7.5 m point is KC2-7.5(ii) a Determining that the intermediate correction coefficient corresponding to the wind speed of the wind generating set C3 in the wind power plant C at the 7.5 m point 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 KC3-7.5And determining final correction coefficients corresponding to the wind speeds of all the wind generating sets A1, A2 and A3 in the wind power plant A at the 7.5-meter point.
In an embodiment of the present invention, for each wind speed interval, determining a final correction coefficient corresponding to all wind generating sets in the target wind farm in the wind speed interval according to an intermediate correction coefficient corresponding to each wind generating set in the target wind farm and other wind farms in the wind speed interval includes: and determining the average value of the intermediate correction coefficients respectively corresponding to all the wind generating sets in the target wind power plant and other wind power plants in the wind speed interval as the final correction coefficient corresponding to all the wind generating sets in the target wind power plant in the wind speed interval.
For example, a 7.5 meter wind speed is also taken as an example for illustration.
Then K will beA1-7.5、KA2-7.5、KA3-7.5、KB1-7.5、KB2-7.5、KC1-7.5、KC2-7.5And KC3-7.5Is determined as the final correction coefficient corresponding to the wind speed of all wind generating sets A1, A2 and A3 in the wind farm A at the point of 7.5 meters. It is understood that the average value at this time can also be determined as the final correction coefficient corresponding to the wind speed of 7.5 meters point for all the wind generating sets B1, B2, C1, C2 and C3 in the wind farm B and the wind farm C.
In an embodiment of the present invention, for each wind speed interval, determining a final correction coefficient corresponding to all wind generating sets in the target wind farm in the wind speed interval according to an intermediate correction coefficient corresponding to each wind generating set in the target wind farm and other wind farms in the wind speed interval includes: calculating a second average correction coefficient of the intermediate correction coefficients respectively corresponding to the wind speed intervals of all wind generating sets in the target wind power plant and other wind power plants aiming at each wind speed interval; according to the second average correction coefficient, calculating a second average of dispersion of each wind generating set in the target wind power plant and other wind power plants based on the correction coefficient and a second variance of the target wind power plant and other wind power plants based on the correction coefficient in the wind speed interval; and determining the average value of the intermediate correction coefficients respectively corresponding to the wind speed intervals in the target wind power plant and the wind power generation sets corresponding to the wind speed intervals, wherein the second square is smaller than the second square, as the final correction coefficients corresponding to all the wind power generation sets in the target wind power plant in the wind speed intervals.
For example, a 7.5 meter wind speed is also taken as an example for illustration.
Calculating the second average correction coefficient of the intermediate correction coefficients respectively corresponding to the wind speeds of all the wind generating sets in all the wind power plants at the 7.5 m point to be K7.5。
In addition, K isNRepresenting average correction coefficients corresponding to wind speeds of all wind generating sets of all wind power plants at a point of N meters; kN.5And representing the average correction coefficient corresponding to the wind speed of all wind generating sets of all wind power plants at the point of N.5 meters.
The square of the dispersion of the wind generating set A1 in the wind farm A based on the correction coefficient is calculated as (K)A1-7.5-K7.5)2。
The square of the dispersion of the wind generating set A2 in the wind farm A based on the correction coefficient is calculated as (K)A2-7.5-K7.5)2。
The square of the dispersion of the wind generating set A3 in the wind farm A based on the correction coefficient is calculated as (K)A3-7.5-K7.5)2。
The square of the dispersion of the wind generating set B1 in the wind power plant B based on the correction coefficient is calculated as (K)B1-7.5-K7.5)2。
The square of the dispersion of the wind generating set B2 in the wind power plant B based on the correction coefficient is calculated as (K)B2-7.5-K7.5)2。
The square of the dispersion of the wind generating sets C1 in the wind farm C based on the correction coefficient is calculated as (K)C1-7.5-K7.5)2。
The square of the dispersion of the wind generating sets C2 in the wind farm C based on the correction coefficient is calculated as (K)C2-7.5-K7.5)2。
The square of the dispersion of the wind generating sets C3 in the wind farm C based on the correction coefficient is calculated as (K)C3-7.5-K7.5)2。
And calculating the variance of all wind power plants based on the correction coefficient to be P2. It will be appreciated that P2 is the average of the sum of the squares of the individual deviations described above.
If (K)A1-7.5-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)2And (K)C2-7.5-K7.5)2Are all less than P2; (K)A2-7.5-K7.5)2And (K)C3-7.5-KA-7.5)2None less than P2.
Then K will beA1-7.5、KA3-7.5、KB1-7.5、KB2-7.5、KC1-7.5And KC2-7.5Is determined as the final correction coefficient corresponding to the wind speed of all wind generating sets A1, A2 and A3 in the wind farm A at the point of 7.5 meters. It is understood that the average value at this time can also be determined as the final correction coefficient corresponding to the wind speed of 7.5 meters point for all the wind generating sets B1, B2, C1, C2 and C3 in the wind farm B and the wind farm C.
In an embodiment of the present invention, for each wind speed interval, determining a final correction coefficient corresponding to all wind generating sets in the target wind farm in the wind speed interval according to an intermediate correction coefficient corresponding to each wind generating set in the target wind farm and other wind farms in the wind speed interval may include: calculating a third average correction coefficient of the intermediate correction coefficients respectively corresponding to all wind generating sets in the wind power plant in the wind speed interval aiming at each wind power plant and each wind speed interval; according to the third average correction coefficient, calculating a third square of dispersion of each wind generating set in the wind power plant based on the correction coefficient and a third variance of the target wind power plant based on the correction coefficient in the wind speed interval; and selecting intermediate correction coefficients respectively corresponding to the wind generating sets corresponding to the third variance smaller than the third variance in the wind power plant in the wind speed interval. Calculating a fourth average correction coefficient of the selected middle correction coefficients in the wind speed interval aiming at all the wind power plants and each wind speed interval; according to the fourth average correction coefficient, calculating a fourth mean square of dispersion of the selected middle correction coefficient based on the correction coefficient of the wind generating set corresponding to the selected middle correction coefficient and a fourth variance of the selected correction coefficient based on the correction coefficient of the wind generating set corresponding to the selected correction coefficient in the wind speed interval; and determining the mean value of the intermediate correction coefficients respectively corresponding to the wind speed intervals in the wind generating sets respectively corresponding to the selected intermediate correction coefficients and the wind generating sets corresponding to the fourth square smaller than the fourth square as the final correction coefficients corresponding to all the wind generating sets in the target wind power plant in the wind speed interval.
For example, a 7.5 meter wind speed is also taken as an example for illustration.
Aiming at the wind power plant A, determining that the intermediate correction coefficient corresponding to the wind speed of the wind generating set A1 at the 7.5 m point in the wind power plant A is KA1-7.5(ii) a Determining that the intermediate correction coefficient corresponding to the wind speed of the wind generating set A2 at the 7.5 m point in the wind farm A is KA2-7.5(ii) a Determining that the intermediate correction coefficient corresponding to the wind speed of the wind generating set A3 at the 7.5 m point in the wind farm A is KA3-7.5. Calculating the average correction coefficient K of the intermediate correction coefficients corresponding to the wind speeds of all the wind generating sets A1, A2 and A3 in the wind power plant A at the 7.5-meter pointA-7.5。
The square of the dispersion of the wind generating set A1 in the wind farm A based on the correction coefficient is calculated as (K)A1-7.5-KA-7.5)2。
The square of the dispersion of the wind generating set A2 in the wind farm A based on the correction coefficient is calculated as (K)A2-7.5-KA-7.5)2。
Calculating the square of the dispersion of the wind generating set A3 in the wind power plant A based on the correction coefficient as(KA3-7.5-KA-7.5)2。
And calculating the variance of the wind farm A based on the correction coefficient to be P3. It will be appreciated that P3 is the average of the sum of the squares of the individual deviations described above.
If (K)A1-7.5-KA-7.5)2And (K)A3-7.5-KA-7.5)2Less than P3, (K)A2-7.5-KA-7.5)2If not less than P3, K is selectedA1-7.5And KA3-7.5。
Aiming at the wind power plant B, determining that the intermediate correction coefficient corresponding to the wind speed of the wind generating set B1 at the 7.5 m point in the wind power plant B is KB1-7.5(ii) a Determining that the intermediate correction coefficient corresponding to the wind speed of the wind generating set B2 in the wind power plant B at the 7.5 m point is KB2-7.5. Calculating the average correction coefficient K of the intermediate correction coefficients corresponding to the wind speeds of all the wind generating sets B1 and B2 in the wind power plant B at the 7.5 m pointB-7.5。
The square of the dispersion of the wind generating set B1 in the wind power plant B based on the correction coefficient is calculated as (K)B1-7.5–KB-7.5)2。
The square of the dispersion of the wind generating set B2 in the wind power plant B based on the correction coefficient is calculated as (K)B2-7.5–KB-7.5)2。
And calculating the variance of the wind power plant B based on the correction coefficient to be P4. It will be appreciated that P4 is the average of the sum of the squares of the individual deviations described above.
If (K)B1-7.5–KB-7.5)2And (K)B2-7.5–KB-7.5)2If both are less than P4, K is selectedB1-7.5And KB2-7.5。
Aiming at the wind power plant C, determining that the intermediate correction coefficient corresponding to the wind speed of the wind generating set C1 at the 7.5 m point in the wind power plant C is KC1-7.5(ii) a Determining that the intermediate correction coefficient corresponding to the wind speed of the wind generating set C2 in the wind power plant C at the 7.5 m point is KC2-7.5(ii) a Determining that the intermediate correction coefficient corresponding to the wind speed of the wind generating set C3 in the wind power plant C at the 7.5 m point is KC3-7.5. MeterCalculating the average correction coefficient K of the intermediate correction coefficients corresponding to the wind speeds of all the wind generating sets C1, C2 and C3 in the wind power plant C at the 7.5-meter pointC-7.5。
The square of the dispersion of the wind generating sets C1 in the wind farm C based on the correction coefficient is calculated as (K)C1-7.5–KC-7.5)2。
The square of the dispersion of the wind generating sets C2 in the wind farm C based on the correction coefficient is calculated as (K)C2-7.5–KC-7.5)2。
The square of the dispersion of the wind generating sets C3 in the wind farm C based on the correction coefficient is calculated as (K)C3-7.5–KC-7.5)2。
And calculating the variance of the wind power plant C based on the correction coefficient to be P5. It will be appreciated that P5 is the average of the sum of the squares of the individual deviations described above.
If (K)C1-7.5–KC-7.5)2And (K)C3-7.5–KC-7.5)2Are all less than P5, (K)C2-7.5–KC-7.5)2If not less than P3, K is selectedC1-7.5And KC3-7.5。
When K is selectedA1-7.5、KA3-7.5、KB1-7.5、KB2-7.5、KC1-7.5And KC3-7.5Then, K is calculatedA1-7.5、KA3-7.5、KB1-7.5、KB2-7.5、KC1-7.5And KC3-7.5The average correction coefficient K.
The square of the dispersion of the wind generating set A1 in the wind farm A based on the correction coefficient is calculated as (K)A1-7.5-K)2。
The square of the dispersion of the wind generating set A3 in the wind farm A based on the correction coefficient is calculated as (K)A3-7.5-K)2。
The square of the dispersion of the wind generating set B1 in the wind power plant B based on the correction coefficient is calculated as (K)B1-7.5–K)2。
Calculating the square of the dispersion of the wind generating set B2 in the wind power plant B based on the correction coefficient as(KB2-7.5-K)2。
The square of the dispersion of the wind generating sets C1 in the wind farm C based on the correction coefficient is calculated as (K)C1-7.5-K)2。
The square of the dispersion of the wind generating sets C3 in the wind farm C based on the correction coefficient is calculated as (K)C3-7.5-K)2。
The variance of the selected correction coefficient is calculated to be P6. It will be appreciated that P6 is the average of the sum of the squares of the dispersion for each of the selected correction factors described above.
If (K)A1-7.5-K)2、(KA3-7.5-K)2、(KB2-7.5-K)2、(KC1-7.5-K)2And (K)C3-7.5-K)2Are all less than P6; (K)B1-7.5-K)2None less than P6.
Then K will beA1-7.5、KA3-7.5、KB2-7.5、KC1-7.5And KC3-7.5Is determined as the final correction coefficient corresponding to the wind speed of all wind generating sets A1, A2 and A3 in the wind farm A at the point of 7.5 meters. It is understood that the average value at this time can also be determined as the final correction coefficient corresponding to the wind speed of 7.5 meters point for all the wind generating sets B1, B2, C1, C2 and C3 in the wind farm B and the wind farm C.
It should be noted that the wind farm A, B, C; the wind generating sets a1, a2, A3, B1, B2, C1, C3 and 7.5 m wind speed are used as examples for illustration, and are only specific examples of the present invention, and do not limit the present invention.
The method for determining the correction coefficient of the anemoscope in the embodiment of the invention is not influenced by the wind current and wind turbulence around the wind generating set even in a complicated terrain area, can accurately determine the correction coefficient of the anemoscope, and improves the generating efficiency and generating power of the wind generating set.
Fig. 2 is a second schematic structural diagram of the apparatus for determining the correction coefficient of the anemometer according to the embodiment of the present invention. The embodiment of the invention shown in fig. 2 is based on the embodiment shown in fig. 1, and is added with S105: and determining a functional relation between the wind speed interval and the final correction coefficient according to the wind speed interval and the final correction coefficient.
In one embodiment of the invention, a least squares method may be used when determining the functional relationship between the wind speed interval and the final correction factor based on the wind speed interval and the final correction factor.
The least square method is also called a least square method, and is a mathematical optimization technique. It finds the best functional match of the data by minimizing the sum of the squares of the errors. Unknown data can be easily obtained by the least square method, and the sum of squares of errors between these obtained data and actual data is minimized. In addition, one of the main applications of the least squares method is curve fitting. Wherein, curve fitting refers to selecting a proper curve type to fit observation data, and analyzing the relation between two variables by using a fitted curve equation. In brief, curve fitting is to find a curve, so that data points are not far above or below the curve, the found curve is called a fitting curve, which can reflect the overall distribution of data, but not cause local larger fluctuation, and can reflect the characteristics of an approximated function, so that the deviation of the found approximated function and a known function is measured in a certain method to be minimum. Curve fitting does not require a curve to pass through all known points, but rather requires that the resulting approximation function reflect the underlying relationship of the data. By means of the least squares method, a functional relationship between the two variables (i.e. the wind speed interval and the final correction factor) can be determined.
Corresponding to the above method embodiment, the embodiment of the present invention further provides a device for determining a correction coefficient of an anemometer.
As shown in fig. 3, fig. 3 is a first schematic structural diagram of an apparatus for determining a correction coefficient of an anemometer according to an embodiment of the present invention. The device for determining the correction coefficient of the anemometer comprises:
an obtaining module 301, configured to obtain historical wind speed data and historical power data of all wind generating sets in a target wind farm in a predetermined time period.
The dividing module 302 is configured to divide, for each wind turbine generator set of the target wind farm, historical wind speed data of the wind turbine generator set into more than one wind speed interval according to a preset dividing rule.
The first determining module 303 is configured to determine, for each wind speed interval, an intermediate correction coefficient corresponding to the wind speed interval of the wind turbine generator set according to the historical wind speed data and the historical power data of the wind turbine generator set.
And a second determining module 304, configured to determine, according to the intermediate correction coefficient, a final correction coefficient corresponding to each wind speed interval for all wind generating sets in the target wind farm.
In an embodiment of the present invention, the second determining module 304 of the embodiment of the present invention may be specifically configured to:
and determining the average value of the intermediate correction coefficients respectively corresponding to all the wind generating sets in the target wind power plant in the wind speed interval as the final correction coefficient corresponding to all the wind generating sets in the target wind power plant in the wind speed interval aiming at each wind speed interval.
In an embodiment of the present invention, the second determining module 304 of the embodiment of the present invention may be specifically configured to:
calculating first average correction coefficients of the intermediate correction coefficients respectively corresponding to all wind generating sets in the target wind power plant in each wind speed interval;
according to the first average correction coefficient, calculating a first square of deviation of each wind generating set in the target wind power plant based on the correction coefficient and a first variance of the target wind power plant based on the correction coefficient in the wind speed interval;
and determining the average value of the intermediate correction coefficients respectively corresponding to the wind generating sets corresponding to the first variance in the target wind power plant in the wind speed interval as the final correction coefficients corresponding to all the wind generating sets in the target wind power plant in the wind speed interval.
In an embodiment of the present invention, the second determining module 304 of the embodiment of the present invention may include:
the first obtaining subunit is used for obtaining historical wind speed data and historical power data of each wind generating set in other wind power plants;
the first determining subunit is used for determining an intermediate correction coefficient corresponding to each wind generating set in other wind power plants in each wind speed interval according to the obtained historical wind speed data and historical power data;
and the second determining subunit is used for determining, for each wind speed interval, a final correction coefficient corresponding to each wind generating set in the target wind power plant in the wind speed interval according to the intermediate correction coefficient corresponding to each wind generating set in the target wind power plant and each wind generating set in the other wind power plants in the wind speed interval.
In an embodiment of the present invention, the second determining subunit may be specifically configured to:
and determining the average value of the intermediate correction coefficients respectively corresponding to all the wind generating sets in the target wind power plant and other wind power plants in the wind speed interval as the final correction coefficient corresponding to all the wind generating sets in the target wind power plant in the wind speed interval.
In an embodiment of the present invention, the second determining subunit may be specifically configured to:
calculating a second average correction coefficient of the intermediate correction coefficients respectively corresponding to the wind speed intervals of all wind generating sets in the target wind power plant and other wind power plants aiming at each wind speed interval;
according to the second average correction coefficient, calculating a second average of dispersion of each wind generating set in the target wind power plant and other wind power plants based on the correction coefficient and a second variance of the target wind power plant and other wind power plants based on the correction coefficient in the wind speed interval;
and determining the average value of the intermediate correction coefficients respectively corresponding to the wind speed intervals in the target wind power plant and the wind power generation sets corresponding to the wind speed intervals, wherein the second square is smaller than the second square, as the final correction coefficients corresponding to all the wind power generation sets in the target wind power plant in the wind speed intervals.
In an embodiment of the present invention, the second determining subunit may be specifically configured to:
calculating a third average correction coefficient of the intermediate correction coefficients respectively corresponding to all wind generating sets in the wind power plant in the wind speed interval aiming at each wind power plant and each wind speed interval; according to the third average correction coefficient, calculating a third square of dispersion of each wind generating set in the wind power plant based on the correction coefficient and a third variance of the target wind power plant based on the correction coefficient in the wind speed interval; selecting intermediate correction coefficients respectively corresponding to the wind generating sets in the wind power plant, wherein the intermediate correction coefficients are smaller than the wind generating sets corresponding to the third variance in the wind power plant;
calculating a fourth average correction coefficient of the selected middle correction coefficients in the wind speed interval aiming at all the wind power plants and each wind speed interval; according to the fourth average correction coefficient, calculating a fourth mean square of dispersion of the selected middle correction coefficient based on the correction coefficient of the wind generating set corresponding to the selected middle correction coefficient and a fourth variance of the selected correction coefficient based on the correction coefficient of the wind generating set corresponding to the selected correction coefficient in the wind speed interval; and determining the mean value of the intermediate correction coefficients respectively corresponding to the wind speed intervals in the wind generating sets respectively corresponding to the selected intermediate correction coefficients and the wind generating sets corresponding to the fourth square smaller than the fourth square as the final correction coefficients corresponding to all the wind generating sets in the target wind power plant in the wind speed interval.
In an embodiment of the present invention, the first determining module 303 in the embodiment of the present invention may be specifically configured to:
and aiming at each wind speed interval, determining a middle correction coefficient corresponding to the wind generating set in the wind speed interval by adopting a linear interpolation method according to the historical wind speed data, the historical power data, the preset wind speed and the preset power of the wind generating set.
The device for determining the correction coefficient of the anemoscope of the embodiment of the invention is not influenced by the wind current and wind turbulence around the wind generating set even in a complicated terrain area, can accurately determine the correction coefficient of the anemoscope, and improves the generating efficiency and generating power of the wind generating set.
Fig. 4 is a second schematic structural diagram of the apparatus for determining the correction coefficient of the anemometer according to the embodiment of the present invention. The embodiment of the invention shown in fig. 4 is added to the embodiment shown in fig. 3:
a third determining module 305, configured to determine a functional relationship between the wind speed interval and the final correction factor according to the wind speed interval and the final correction factor.
It is to be understood that the invention is not limited to the specific arrangements and instrumentality described above and shown in the drawings. A detailed description of known methods is omitted herein for the sake of brevity. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present invention are not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications and additions or change the order between the steps after comprehending the spirit of the present invention.
The functional blocks shown in the above-described structural block diagrams may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, plug-in, function card, or the like. When implemented in software, the elements of the invention are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. Examples of a machine-readable medium include electronic circuits, semiconductor memory devices, ROM, flash memory, Erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, Radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.
It should also be noted that the exemplary embodiments mentioned in this patent describe some methods or systems based on a series of steps or devices. However, the present invention is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, may be performed in an order different from the order in the embodiments, or may be performed simultaneously.
As described above, only the specific embodiments of the present invention are provided, and it can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the module and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. It should be understood that the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present invention, and these modifications or substitutions should be covered within the scope of the present invention.
Claims (6)
1. A method for determining correction factors for an anemometer, the method comprising:
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;
for each wind generating set of the 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;
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;
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, wherein the final correction coefficients comprise:
calculating a first average correction coefficient of intermediate correction coefficients respectively corresponding to all wind generating sets in the target wind power plant in each wind speed interval;
according to the first average correction coefficient, calculating a first square of dispersion of each wind generating set in the target wind power plant based on the correction coefficient and a first variance of the target wind power plant based on the correction coefficient in the wind speed interval;
and determining the first square in the target wind power plant to be smaller than the average value of the intermediate correction coefficients respectively corresponding to the wind generating sets corresponding to the first square in the wind speed interval as the final correction coefficients corresponding to all the wind generating sets in the target wind power plant in the wind speed interval.
2. The method according to claim 1, wherein the determining a final correction coefficient corresponding to each wind speed interval for all wind generating sets in the target wind farm according to the intermediate correction coefficient comprises:
obtaining historical wind speed data and historical power data of each wind generating set in other wind power plants;
determining an intermediate correction coefficient corresponding to each wind generating set in the other wind power plants in each wind speed interval according to the obtained historical wind speed data and historical power data; and determining final correction coefficients corresponding to all wind generating sets in the target wind power plant in the wind speed interval according to the intermediate correction coefficients corresponding to the wind speed interval of each wind generating set in the target wind power plant and other wind power plants in each wind speed interval.
3. The method according to claim 2, wherein the determining, for each wind speed interval, final correction coefficients corresponding to all wind generating sets in the target wind farm in the wind speed interval according to the intermediate correction coefficients corresponding to each wind generating set in the target wind farm and the other wind farms in the wind speed interval comprises:
calculating a second average correction coefficient of the intermediate correction coefficients respectively corresponding to the wind speed intervals of all the wind generating sets in the target wind power plant and the other wind power plants aiming at each wind speed interval;
according to the second average correction coefficient, calculating a second square of dispersion of each wind generating set in the target wind power plant and the other wind power plants based on the correction coefficient and a second variance of the target wind power plant and the other wind power plants based on the correction coefficient in the wind speed interval;
and determining the average value of the intermediate correction coefficients respectively corresponding to the wind speed intervals of the wind generating sets in the target wind power plant and the other wind power plants, wherein the second square is smaller than the wind generating sets corresponding to the second square, as the final correction coefficient corresponding to all the wind generating sets in the target wind power plant in the wind speed interval.
4. The method according to claim 2, wherein the determining, for each wind speed interval, final correction coefficients corresponding to all wind generating sets in the target wind farm in the wind speed interval according to the intermediate correction coefficients corresponding to each wind generating set in the target wind farm and the other wind farms in the wind speed interval comprises:
calculating a third average correction coefficient of the intermediate correction coefficients respectively corresponding to all wind generating sets in the wind power plant in the wind speed interval aiming at each wind power plant and each wind speed interval; according to the third average correction coefficient, calculating a third square of dispersion of each wind generating set in the wind power plant based on the correction coefficient and a third variance of the target wind power plant based on the correction coefficient in the wind speed interval; selecting intermediate correction coefficients respectively corresponding to the wind generating sets corresponding to the third variance which is smaller than the third variance in the wind power plant in the wind speed interval;
calculating a fourth average correction coefficient of the selected middle correction coefficients in the wind speed interval aiming at all the wind power plants and each wind speed interval; according to the fourth average correction coefficient, calculating a fourth square of dispersion of the selected middle correction coefficient based on the correction coefficient of the wind generating set corresponding to the selected middle correction coefficient and a fourth square of dispersion of the selected correction coefficient based on the correction coefficient of the wind generating set corresponding to the selected correction coefficient in the wind speed interval; and determining the mean value of the intermediate correction coefficients respectively corresponding to the wind speed intervals in the wind generating sets respectively corresponding to the selected intermediate correction coefficients, wherein the fourth square is smaller than the wind generating sets corresponding to the fourth variance, and the mean value of the intermediate correction coefficients respectively corresponding to the wind speed intervals is determined as the final correction coefficient corresponding to all the wind generating sets in the target wind power plant in the wind speed interval.
5. The method of claim 1, wherein the determining, for each wind speed interval, an intermediate correction factor corresponding to the wind turbine generator set in the wind speed interval according to the historical wind speed data and the historical power data of the wind turbine generator set comprises:
and aiming at each wind speed interval, determining a middle correction coefficient corresponding to the wind generating set in the wind speed interval by adopting a linear interpolation method according to the historical wind speed data, the historical power data, the preset wind speed and the preset power of the wind generating set.
6. The method according to any one of claims 1-5, further comprising:
and determining a functional relation between the wind speed interval and the final correction coefficient according to the wind speed interval and the final correction coefficient.
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