CN110020801B - Method for evaluating influence loss of wind power plant by external wake flow - Google Patents
Method for evaluating influence loss of wind power plant by external wake flow Download PDFInfo
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- CN110020801B CN110020801B CN201910274492.6A CN201910274492A CN110020801B CN 110020801 B CN110020801 B CN 110020801B CN 201910274492 A CN201910274492 A CN 201910274492A CN 110020801 B CN110020801 B CN 110020801B
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Abstract
The invention discloses an evaluation method for wind power plant loss affected by external wake flow, which comprises the steps of obtaining first anemometer tower wind speed sequence data, and correcting the first anemometer tower wind speed sequence data to obtain first free stream wind speed sequence data; the first anemometer tower wind speed data is data of a period without influence of other wind power plants near the initial stage after the wind power plants are put into operation; and substituting the first free stream wind speed sequence data into CFD software, and calculating to obtain a first calculated theoretical power generation amount. The method for evaluating the influence loss of the wind power plant due to the external wake flow can be used for evaluating the influence of the wind power plant due to the wake flow of other wind power plants. The required data is easy to obtain, the calculation method is simple and easy to implement, and the data substituted into CFD software is more accurate through correcting the wind speed sequence of the anemometer tower, so that the accuracy of the evaluation result is higher.
Description
Technical Field
The invention relates to the technical field of wind power plant performance evaluation, in particular to a method for evaluating influence loss of a wind power plant on external wake flow based on meteorological reanalysis data.
Background
Wind is a new energy with great potential, and in the beginning of the eighteenth century, one fierce and strong wind in two countries of English law is swept transversely, so that four hundred wind mills, eight hundred houses, one hundred churches and more than four hundred sailing boats are destroyed, thousands of people are injured, and twenty-fifty thousand big trees are uprooted. In the mere fact of drawing trees, the wind generates ten million horsepower (i.e., 750 ten thousand kilowatts; one horsepower equals 0.75 kilowatts) of power in a few seconds! It is estimated that the wind resources available on earth to generate electricity are about 100 hundred million kilowatts, which is almost 10 times the amount of hydroelectric power generated worldwide. At present, the energy obtained by burning coal every year all over the world is only one third of the energy provided by wind power in one year. Therefore, great importance is attached to the utilization of wind power to generate electricity at home and abroad, and new energy is developed.
Wind turbine generators are becoming larger and longer, and understanding of the wake effect characteristics of wind turbine generators is therefore becoming more and more important. According to the principle of energy conservation, after wind blows over the wind generating set, the energy is reduced by a certain ratio. Therefore, the wind turbine always forms a wind shadow, i.e. a wake, on the rear surface, like a wake formed on the water surface after the ship has travelled. At present, wake flow influence among wind power plants is not fully considered when the large wind power base is built, and the wind power plants are very close to each other, so that the influence of wake flow of the wind power plants nearby on the early wind power plants is caused.
Therefore, how to evaluate the influence of wake flow of other wind farms on the wind farms is a technical problem which needs to be solved by a person skilled in the art urgently.
Disclosure of Invention
The invention provides an evaluation method for influence loss of a wind power plant due to external wake flow.
The invention provides the following scheme:
a method for evaluating influence loss of a wind power plant due to external wake flow comprises the following steps:
acquiring first anemometer tower wind speed sequence data, and correcting the first anemometer tower wind speed sequence data to obtain first free stream wind speed sequence data; the first anemometer tower wind speed sequence data are data of a period without influence of other wind power plants near the initial stage after the wind power plants are put into operation;
substituting the first free stream wind speed sequence data into CFD software, and calculating to obtain a first calculation theoretical power generation amount; acquiring the actual power generation amount and first loss power of a first wind power plant, and summing the actual power generation amount and the first loss power of the first wind power plant to obtain a first actual theoretical power generation amount;
calculating to obtain error reduction F of the CFD software, wherein F is 1-first actual theoretical power generation amount ÷ first calculated theoretical power generation amount;
acquiring second anemometer tower wind speed sequence data, and correcting the second anemometer tower wind speed sequence data to obtain second free stream wind speed sequence data; the second anemometer tower wind speed sequence data are data of a period influenced by other wind power plants nearby the wind power plants;
substituting the second free stream wind speed sequence data into CFD software, and calculating to obtain a second calculation theoretical power generation amount; acquiring actual power generation capacity and second loss power of a second wind power plant, and summing the actual power generation capacity and the second loss power of the second wind power plant to obtain second actual theoretical power generation capacity;
and calculating to obtain the loss electric quantity Q, wherein Q is the second calculated theoretical electric quantity (1-F) and the second actual theoretical electric quantity.
Preferably: correcting the first anemometer tower wind speed sequence data to obtain first free stream wind speed sequence data; the correction method comprises the following steps:
the first free stream wind speed sequence data is first anemometer tower wind speed sequence data divided by first anemometer tower average wind speed multiplied by first free stream average wind speed;
in the formula: the first free stream average wind speed is obtained by calculating a correlation relation between third meteorological reanalysis wind speed sequence data and third anemometer tower wind speed sequence data, and the third meteorological reanalysis wind speed sequence data and the third anemometer tower wind speed sequence data are wind power plant construction early-stage data.
Preferably: the correlation relation is y ═ ax + b obtained by calculating the third meteorological reanalysis wind speed sequence data and the third anemometer tower wind speed sequence data by adopting a linear regression method, wherein: y is meteorological reanalysis wind speed sequence data, x is anemometer tower wind speed sequence data, and a and b are correlation coefficients.
Preferably: the first loss electric quantity is the power curve loss electric quantity of the fan obtained through a fan power curve test report, wherein the planned and unplanned shutdown loss electric quantity, the power limiting loss electric quantity and the comprehensive field power consumption rate are obtained through the wind power plant monthly report and the annual report.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
according to the method, the method for evaluating the influence loss of the wind power plant caused by the external wake flow can be realized, and in one implementation mode, the method can comprise the steps of obtaining first anemometer tower wind speed sequence data, and correcting the first anemometer tower wind speed sequence data to obtain first free stream wind speed sequence data; the first anemometer tower wind speed sequence data are data of a period without influence of other wind power plants near the initial stage after the wind power plants are put into operation; substituting the first free stream wind speed sequence data into CFD software, and calculating to obtain a first calculation theoretical power generation amount; acquiring the actual power generation amount and first loss power of a first wind power plant, and summing the actual power generation amount and the first loss power of the first wind power plant to obtain a first actual theoretical power generation amount; calculating to obtain error reduction F of the CFD software, wherein F is 1-first actual theoretical power generation amount ÷ first calculated theoretical power generation amount; acquiring second anemometer tower wind speed sequence data, and correcting the second anemometer tower wind speed sequence data to obtain second free stream wind speed sequence data; the second anemometer tower wind speed sequence data are data of a period influenced by other wind power plants nearby the wind power plants; substituting the second free stream wind speed sequence data into CFD software, and calculating to obtain a second calculation theoretical power generation amount; acquiring actual power generation capacity and second loss power of a second wind power plant, and summing the actual power generation capacity and the second loss power of the second wind power plant to obtain second actual theoretical power generation capacity; and calculating to obtain the loss electric quantity Q, wherein Q is the second calculated theoretical electric quantity (1-F) and the second actual theoretical electric quantity. The method for evaluating the influence loss of the wind power plant due to the external wake flow can be used for evaluating the influence of the wind power plant due to the wake flow of other wind power plants. The required data is easy to obtain, the calculation method is simple and easy to implement, and the data substituted into CFD software is more accurate through correcting the wind speed sequence of the anemometer tower, so that the accuracy of the evaluation result is higher.
Of course, it is not necessary for any product in which the invention is practiced to achieve all of the above-described advantages at the same time.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a linear plot of third meteorological reanalyzed wind speed sequence data and third anemometer tower wind speed sequence data for a wind farm provided by an embodiment of the present invention;
fig. 2 is a linear graph calculated by a linear regression method for a wind farm according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments that can be derived by one of ordinary skill in the art from the embodiments given herein are intended to be within the scope of the present invention.
Examples
The embodiment of the invention provides an evaluation method for influence loss of a wind power plant by external wake flow, which comprises the following steps:
s101: acquiring first anemometer tower wind speed sequence data, and correcting the first anemometer tower wind speed sequence data to obtain first free stream wind speed sequence data; the first anemometer tower wind speed sequence data are data of a period without influence of other wind power plants near the initial stage after the wind power plants are put into operation;
specifically, the correction method includes:
the first free stream wind speed sequence data is first anemometer tower wind speed sequence data divided by first anemometer tower average wind speed multiplied by first free stream average wind speed;
in the formula: the first free stream average wind speed is obtained by calculating a correlation relation between third meteorological reanalysis wind speed sequence data and third anemometer tower wind speed sequence data, and the third meteorological reanalysis wind speed sequence data and the third anemometer tower wind speed sequence data are wind power plant construction early-stage data.
The correlation relation is y ═ ax + b obtained by calculating the third meteorological reanalysis wind speed sequence data and the third anemometer tower wind speed sequence data by adopting a linear regression method, wherein: y is meteorological reanalysis wind speed sequence data, x is anemometer tower wind speed sequence data, and a and b are correlation coefficients.
And calculating first air image reanalysis wind speed average data for obtaining the first air image reanalysis wind speed sequence data, substituting the first air image reanalysis wind speed average data as y into y which is ax + b, and calculating to obtain a value x which is used as a first free flow average wind speed.
S102: substituting the first free stream wind speed sequence data into CFD software, and calculating to obtain a first calculation theoretical power generation amount; acquiring the actual power generation amount and first loss power of a first wind power plant, and summing the actual power generation amount and the first loss power of the first wind power plant to obtain a first actual theoretical power generation amount; the first loss electric quantity is the power curve loss electric quantity of the fan obtained through a fan power curve test report, wherein the planned and unplanned shutdown loss electric quantity, the power limiting loss electric quantity and the comprehensive field power consumption rate are obtained through the wind power plant monthly report and the annual report.
S103: and (4) calculating to obtain the error reduction F of the CFD software, wherein F is 1-first actual theoretical power generation amount ÷ first calculated theoretical power generation amount.
S104: acquiring second anemometer tower wind speed sequence data, and correcting the second anemometer tower wind speed sequence data to obtain second free stream wind speed sequence data; and the second anemometer tower wind speed sequence data are data of periods influenced by other wind power plants nearby the wind power plant. The correction method is similar to the correction direction in S101, and is not described again.
S105: substituting the second free stream wind speed sequence data into CFD software, and calculating to obtain a second calculation theoretical power generation amount; and acquiring the actual power generation amount and the second loss power amount of a second wind power plant, and summing the actual power generation amount and the second loss power amount of the second wind power plant to obtain a second actual theoretical power generation amount.
S106: and calculating to obtain the loss electric quantity Q, wherein Q is the second calculated theoretical electric quantity (1-F) and the second actual theoretical electric quantity.
The method for evaluating the influence loss of the wind power plant due to the external wake flow can be used for evaluating the influence of the wind power plant due to the wake flow of other wind power plants. The required data is easy to obtain, the calculation method is simple and easy to implement, and the data substituted into CFD software is more accurate through correcting the wind speed sequence of the anemometer tower, so that the accuracy of the evaluation result is higher.
The following is a detailed description by taking a certain wind farm as an example.
Step 1: acquiring wind speed sequence data of a wind measuring tower at the early stage (planning design of the wind power plant, which is not built yet) of the wind power plant, and acquiring contemporaneous weather and then analyzing the wind speed data. Monthly average data may generally be taken. As shown in FIG. 1, in this example, in 2010, the wind speed of the anemometer tower is 5.93m/s on average, and then the data is analyzed to be 5.87m/s on average.
Step 2: as shown in fig. 2, the correlation between the weather reanalyzed wind speed data and the anemometer tower wind speed sequence data is calculated by a linear regression method, and the form is obtained: y is ax + b, wherein a is 1.1601 and b is-1.0126.
And step 3: and acquiring meteorological reanalysis wind speed data of a period without other wind power plant influence nearby the initial period after the wind power plant is put into operation, wherein the wind speed of 2012 in the example is 5.67 m/s.
And 4, step 4: and (3) calculating to obtain the anemometer tower free stream wind speed data in the period without influence of other wind fields according to the correlation (y is 1.1601x-1.0126) obtained in the step 2, and obtaining that the free stream wind speed is 5.76 m/s.
And 5: the free stream wind speed is obtained in step 4, and the anemometer tower data needs to be corrected to the free stream wind speed (since the anemometer tower is also influenced by the wake flow of the anemometer tower, the free stream wind speed also needs to be restored), and the method is as follows: the anemometer tower wind speed Vi ÷ anemometer tower mean wind speed Vave is multiplied by the free stream wind speed. In this example, the wind speed of the anemometer tower in 2012 is taken as 5.3m/s, and the anemometer tower wind speed sequence is divided by the anemometer tower average wind speed of 5.3 and multiplied by the free stream wind speed of 5.76, so as to obtain the free stream wind speed sequence.
Step 6: and (4) substituting the anemometer tower free flow wind speed sequence data obtained in the step (5) into CFD software, and calculating to obtain the calculated theoretical generated energy of the wind power plant as 2300 hours, which is named as the first calculated theoretical generated energy.
And 7: and obtaining the power curve loss electric quantity of the fan through the wind power plant monthly report, the annual report, the plan, the unplanned shutdown loss electric quantity, the power limit loss electric quantity, the comprehensive plant power consumption rate and the like through a fan power curve test report. And adding the actual generated energy to the various lost electric quantities to obtain the actual theoretical electric quantity in the period which is not influenced by other wind fields, and naming the actual theoretical electric quantity as the first actual theoretical electric quantity.
The actual power generation amount is 1800 hours, various losses are added for 250 hours, and the actual theoretical power is 2050 hours.
And 8, F is equal to (1-first actual theoretical electric quantity/first calculated theoretical electric quantity), and CFD software error reduction is obtained. F1-2050 h 2300 h 11%
And step 9: acquiring anemometer tower wind speed sequence data of a period influenced by other wind power plants nearby the wind power plant (other wind power plants are built nearby the wind power plant and the wind power plant is influenced by wake flow of other surrounding wind power plants), and acquiring contemporaneous weather reanalysis wind speed data.
In the example, the wind speed in 2014 is taken, the wind speed sequence of the anemometer tower in 2014 is obtained to be 4.67m/s, and the contemporaneous meteorological reanalysis wind speed is 5.47 m/s.
Step 10: and (3) correcting the correlation (y is 1.1601x-1.0126) in the step 2 to obtain the anemometer tower free stream wind speed data when the anemometer tower is influenced by other wind farms, and obtaining the free stream wind speed to be 5.59 m/s.
Step 11: and 10, obtaining the free stream wind speed, and correcting the anemometer tower data to the free stream wind speed, wherein the used method comprises the following steps: the anemometer tower wind speed Vi ÷ anemometer tower mean wind speed Vave is multiplied by the free stream wind speed.
In this example, the 2014 wind speed of the anemometer tower is 4.67m/s, the anemometer tower wind speed sequence is divided by the anemometer tower average wind speed of 4.67, and then the free stream wind speed is multiplied by 5.59, so as to obtain the free stream wind speed sequence.
Step 12: and substituting the anemometer tower free flow wind speed sequence data into CFD software, and calculating to obtain a wind power plant calculation theoretical generated energy 2200 which is named as a second calculation theoretical generated energy.
Step 13: and obtaining planned and unplanned shutdown loss electric quantity, power limiting loss electric quantity, comprehensive field power consumption rate and the like through the wind power plant monthly report table and the annual report table, and obtaining power curve loss electric quantity of the fan through a fan power curve test report. And adding the actual generated energy to the various lost electric quantities to obtain the actual theoretical electric quantity in the period influenced by other wind power plants, and naming the actual theoretical electric quantity as the second actual theoretical electric quantity.
In the example, the actual power generation amount of the wind power plant in 2014 is 1500 hours, various losses are 200 hours, and the actual theoretical power is 1700 hours.
Step 14: and Q is the second calculated theoretical power generation amount (1-errors of CFD software in step 8) -the second actual theoretical power generation amount, so that the loss power of the wind power plant influenced by the wake flow of other wind power plants is obtained.
Q is 2200 hours (1-11%) -1700 hours (258 hours), namely the loss hours of the wind power plant affected by the wake flow of the external wind field.
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 an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.
Claims (4)
1. A method for evaluating the influence loss of a wind power plant due to external wake flow is characterized by comprising the following steps:
acquiring first anemometer tower wind speed sequence data, and correcting the first anemometer tower wind speed sequence data to obtain first free stream wind speed sequence data; the first anemometer tower wind speed sequence data are data of a period without influence of other wind power plants near the initial stage after the wind power plants are put into operation;
substituting the first free stream wind speed sequence data into CFD software, and calculating to obtain a first calculation theoretical power generation amount; acquiring the actual power generation amount and first loss power of a first wind power plant, and summing the actual power generation amount and the first loss power of the first wind power plant to obtain a first actual theoretical power generation amount;
calculating to obtain error reduction F of the CFD software, wherein F is 1-first actual theoretical power generation amount ÷ first calculated theoretical power generation amount;
acquiring second anemometer tower wind speed sequence data, and correcting the second anemometer tower wind speed sequence data to obtain second free stream wind speed sequence data; the second anemometer tower wind speed sequence data are data of a period influenced by other wind power plants nearby the wind power plants;
substituting the second free stream wind speed sequence data into CFD software, and calculating to obtain a second calculation theoretical power generation amount; acquiring actual power generation capacity and second loss power of a second wind power plant, and summing the actual power generation capacity and the second loss power of the second wind power plant to obtain second actual theoretical power generation capacity;
and calculating to obtain the loss electric quantity Q, wherein Q is the second calculated theoretical electric quantity (1-F) and the second actual theoretical electric quantity.
2. The method for evaluating the influence loss of the wind farm by the external wake according to claim 1, characterized by correcting the first anemometer tower wind speed sequence data to obtain first freestream wind speed sequence data; the correction method comprises the following steps:
the first free stream wind speed sequence data is first anemometer tower wind speed sequence data divided by first anemometer tower average wind speed multiplied by first free stream average wind speed;
in the formula: the first free stream average wind speed is obtained by calculating a correlation relation between third meteorological reanalysis wind speed sequence data and third anemometer tower wind speed sequence data, and the third meteorological reanalysis wind speed sequence data and the third anemometer tower wind speed sequence data are wind power plant construction early-stage data.
3. The method for assessing external wake influence loss on a wind farm according to claim 2, wherein the correlation is y ═ ax + b calculated by a linear regression method on the third meteorological reanalysis wind speed sequence data and third anemometer tower wind speed sequence data, wherein: y is meteorological reanalysis wind speed sequence data, x is anemometer tower wind speed sequence data, and a and b are correlation coefficients.
4. The method for evaluating the influence loss of the wind power plant due to the external wake flow as recited in claim 1, wherein the first loss electric quantity is a power curve loss electric quantity of a fan obtained through a fan power curve test report by obtaining planned and unplanned shutdown loss electric quantity, power limit loss electric quantity and comprehensive field power consumption through a monthly report table and an annual report table of the wind power plant.
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| CN202196406U (en) * | 2011-06-27 | 2012-04-18 | 内蒙古电力勘测设计院 | Wind farm design expert system |
| CN105335617A (en) * | 2015-11-05 | 2016-02-17 | 北京金风科创风电设备有限公司 | Method and device for evaluating wake effect of wind power plant |
| CN106121913A (en) * | 2016-06-20 | 2016-11-16 | 广东科诺勘测工程有限公司 | A kind of blower fan arrangement method of marine wind electric field |
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| CN202196406U (en) * | 2011-06-27 | 2012-04-18 | 内蒙古电力勘测设计院 | Wind farm design expert system |
| CN105335617A (en) * | 2015-11-05 | 2016-02-17 | 北京金风科创风电设备有限公司 | Method and device for evaluating wake effect of wind power plant |
| CN106121913A (en) * | 2016-06-20 | 2016-11-16 | 广东科诺勘测工程有限公司 | A kind of blower fan arrangement method of marine wind electric field |
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