CN105786850A - Performance data acquisition method and system for wind machine - Google Patents

Abstract

The invention discloses a performance data acquisition method and system for a wind machine. The method comprises the steps of according to parameter data of the complete wind machine, forming a basic performance curve database by integrating performance curves of a wind machine under different air densities, and acquiring a performance curve under actual air density according to the performance curves in the basic performance curve database. The performance curves in the basic performance curve database further include a power curve, a thrust coefficient curve and a power coefficient curve. The method further comprises the steps of acquiring a power curve under the actual air density according to the power curve in the basic performance curve database, and calculating the generating capacity of the wind machine in combination with the power curve through externally input wind energy data. According to the method and system, the technical problem of incapability of achieving quick response calculation and result output due to numerous dependency conditions of a conventional calculation method can be solved, so that a calculation process can be greatly simplified; and the method and system have the advantages of high calculation efficiency, high precision and data portability.

Description

Wind mill performance data capture method and system

Technical field

The present invention relates to wind power generation field, especially relate to a kind of method and system being applied to wind mill performance data acquisition.

Background technology

Power curves of wind-driven generator sets is the design considerations that wind energy conversion system is important, is also one of key performance curve of being concerned about the most of owner.When wind power generating set manufacturer is when providing a user with equipment, it is generally required to submit the power curve of unit to.The calculating of wind energy turbine set year gross generation can be carried out according to power curve and the actual wind-resources situation of wind energy turbine set, and with this, actual wind field is carried out unit performance examination, assess generating capacity and the generating efficiency of wind power generating set.On the one hand, the performance curve of wind power generating set and generated energy are often the index that wind power generating set user is concerned about very much, and these indexs generally all with actual wind-resources situation strong correlation.General each wind energy turbine set has different wind-resources situations, or even the wind energy conversion system of single wind energy turbine set difference seat in the plane point all has different wind-resources.On the other hand, complete wind energy conversion system complete machine mechanical configuration parameter and electrical control parameter, and the essential condition that the software for calculation of specialty is all performance curve and generated energy calculates.

In prior art, it is typically under input specific (wind field is actual) wind-resources, when obtaining wind mill performance data, it is necessary to utilize the software for calculation of specialty could calculate the performance curve obtaining wind energy conversion system.Detailed process is: the air density values of actual wind energy turbine set is substituted in the professional software for calculation (such as Bladed software) containing complete object unit parameter information and carries out wind mill performance curve calculating, then under Matlab software environment, power curve is carried out numerical computations in conjunction with wind energy data thus obtaining generated energy data.Characteristic curve of fan includes: power curve, thrust coefficient curve and power coefficient curve.This process is strictly dependent on the software for calculation (Bladed software and Matlab software) of costliness, and the parameter adjustment in complete unit parameter and calculating process, the power curve that different atmospheric density apparatus for lower wind machines show there is also difference, and whole calculating process is as shown in Figure 1.Air density values inputs Bladed software, and Bladed software includes electric and Controlling model and wind energy conversion system tractor parameter model, obtains characteristic curve of fan through Bladed computed in software.Characteristic curve of fan includes power curve, thrust coefficient curve and power coefficient curve.Further according to power coefficient curve, and the situation of wind energy resources, carry out Matlab software and carry out numerical computations and obtain the generated energy of wind energy conversion system.

Simultaneously, when prior art obtains performance curve (power curve, thrust coefficient curve, the power coefficient curve) specifying wind energy conversion system under actual air density in the ordinary course of things, need the whole machine model of based target wind energy conversion system, and be calculated obtaining by adjusting kopt (optimal modal gain) value.When calculating annual electricity generating capacity, the factor impact of wind-engaging resources supplIes difference, the result of calculation of wind turbine power generation amount also presents the diversity under the impact of multiple initial conditions blocking factor.Therefore, under the impact of above multiple conditionalities and input dimension, calculate the mode of power curve and generated energy based on Bladed and exist and need multiple variables restriction, complicated operation, the not high technological deficiency of computational efficiency.It addition, the computational methods of prior art are particularly strong to the dependency of wind energy conversion system whole machine model, for it is frequently necessary to market project is carried out the situation of quickly response, power curve and generated energy computational efficiency based on Bladed are substantially on the low side, it is difficult to meet actual requirement.

Summary of the invention

In view of this, it is an object of the invention to provide a kind of wind mill performance data capture method and system, can solve the problem that Traditional calculating methods relies on condition many, it is unable to reach quick RESPONSE CALCULATION and the technical problem of result output, enormously simplify calculation process, there is the advantage calculating efficientibility, high precision, transfer ability of data.

In order to realize foregoing invention purpose, the present invention specifically provides the technic relization scheme of a kind of wind mill performance data capture method, wind mill performance data capture method, comprises the following steps:

S11: according to wind energy conversion system tractor parameter data, according to the integrated basic property diagram database of performance curve of different atmospheric density apparatus for lower wind machines；

S12: obtain the performance curve under actual air density according to the performance curve in described basic property diagram database.

Preferably, the performance curve in described basic property diagram database farther includes power curve, thrust coefficient curve and power coefficient curve.

Preferably, described step S12 farther includes:

The power curve under actual air density is obtained according to the power curve in described basic property diagram database.

Described method is further comprising the steps of:

S13: by inputting the wind energy data of outside, and calculate the generated energy of described wind energy conversion system in conjunction with the power curve under actual air density.

Preferably, in described step S11, the process of integrated described basic property diagram database farther includes:

S110: under Bladed software environment, the tractor parameter model according to wind energy conversion system tractor parameter data construct wind energy conversion system；

S111: according to described tractor parameter model, and different atmospheric density, within the scope of the atmospheric density set, calculate the performance curve organizing wind energy conversion system according to the step interval set more；

S112: after completing the performance curve calculating organizing wind energy conversion system, build the three-dimensional data base being coordinate axes with atmospheric density, wind speed and performance number more.

Preferably, in described step S12, the process obtaining the power curve under actual air density farther includes:

S120: actual air density position on atmospheric density coordinate axes, location, and record the step interval residing for this position；

S121: according to the position of location in described step S120, extract certain wind speed V_iUnder, atmospheric density and performance number P_ijCorresponding performance curve F (V_i,P_ij), to performance curve F (V_i,P_ij) it is interpolated process, it is thus achieved that certain wind speed V_iWith the performance curve value under actual air density；

S122: repeated execution of steps S121, until calculating from incision wind speed to performance curve value all of cut-out wind speed, thus construct under actual air density, the performance curve of each wind speed correspondence performance curve values, and obtain the power curve under actual air density.

Preferably, in described step S13, the generated energy of wind energy conversion system calculates according to below equation further:

E_a=η × E

Wherein, E_aFor the generating value that wind energy conversion system is final, η is the synthetical reduction coefficient of wind energy turbine set, and E is the value of calculation of annual electricity generating capacity.

The computing formula of annual electricity generating capacity is:

$E=Y\underset{\mathrm{cutin}}{\overset{\mathrm{cutout}}{\mathrm{\Σ}}}P\left(V\right)f\left(V\right)\mathrm{dV}$

Wherein, P (V) is power curve function, and V is wind speed, and Y is the hourage of a year, the probability density function that f (V) is wind speed.

$f\left(V\right)=-k\frac{V^{k-1}}{{\left(c\stackrel{\‾}{V}\right)}^k}{e}^{{-\left(\frac{V}{c\stackrel{\‾}{V}}\right)}^k}$

Wherein, k is Weibull form factor, and c is scale coefficient,It it is the meansigma methods of 1 year wind speed.

For a Weibull distribution accurately, the relation of the two parameter is determined by following gamma function Γ:

$c=1/\mathrm{\Γ}(1+\frac{1}{k})$

Weibull distribution definition is as follows:

$F\left(V\right)={1-e}^{{-\left(\frac{V}{c\stackrel{\‾}{V}}\right)}^k}$

Wherein, the cumulative distribution that F (V) is wind speed V.

The present invention also additionally specifically provides the technic relization scheme of a kind of wind mill performance data-acquisition system, wind mill performance data-acquisition system, including: basic property diagram database and power curve acquiring unit, actual air density inputs described power curve acquiring unit, described power curve acquiring unit is according to actual air density, and the performance curve in described basic property diagram database calculates the performance curve actual air density under actual air density.

Preferably, the performance curve in described basic property diagram database farther includes power curve, thrust coefficient curve and power coefficient curve.

Preferably, described basic property diagram database includes the three-dimensional data base set up with atmospheric density, wind speed and performance number for coordinate axes, and described power curve acquiring unit is according to the certain wind speed V of actual air Density extraction_iUnder, atmospheric density and performance number P_ijCorresponding performance curve F (V_i,P_ij), to performance curve F (V_i,P_ij) it is interpolated process, it is thus achieved that certain wind speed V_iWith the performance curve value under actual air density, and calculate from incision wind speed to performance curve value all of cut-out wind speed, thus construct under actual air density, the performance curve of each wind speed correspondence performance curve values.Described system also includes generated energy computing unit, and described generated energy computing unit, according to the power curve in described performance curve, calculates the generated energy of wind energy conversion system in conjunction with outside wind energy data.

Preferably, described generated energy computing unit calculates the generated energy of wind energy conversion system further according to below equation:

E_a=η × E

Wherein, E_aFor the generating value that wind energy conversion system is final, η is the synthetical reduction coefficient of wind energy turbine set, and E is the value of calculation of annual electricity generating capacity.

The computing formula of annual electricity generating capacity is:

$E=Y\underset{\mathrm{cutin}}{\overset{\mathrm{cutout}}{\mathrm{\Σ}}}P\left(V\right)f\left(V\right)\mathrm{dV}$

Wherein, P (V) is power curve function, and V is wind speed, and Y is the hourage of a year, the probability density function that f (V) is wind speed.

$f\left(V\right)=-k\frac{V^{k-1}}{{\left(c\stackrel{\‾}{V}\right)}^k}{e}^{{-\left(\frac{V}{c\stackrel{\‾}{V}}\right)}^k}$

Wherein, k is Weibull form factor, and c is scale coefficient,It it is the meansigma methods of 1 year wind speed.

For a Weibull distribution accurately, the relation of the two parameter is determined by following gamma function Γ:

$c=1/\mathrm{\Γ}(1+\frac{1}{k})$

Weibull distribution definition is as follows:

$F\left(V\right)={1-e}^{{-\left(\frac{V}{c\stackrel{\‾}{V}}\right)}^k}$

Wherein, the cumulative distribution that F (V) is wind speed V.

By implementing wind mill performance data capture method and the system that the invention described above provides, have the advantages that

(1) the inventive method and system is simple and practical, versatility is good, be easily achieved；

(2) the inventive method and system thereof are without relying on the wind energy conversion system software Bladed and software for calculation Matlab of specialty, and data acquisition cost is substantially reduced；

(3) the inventive method and system thereof are after basic database has been built, it is not necessary to relying on the tractor parameter model of object wind energy conversion system, the suitability is better；

(4) the inventive method and system-computed high precision thereof, computational efficiency is high, transfer ability of data is strong, it is possible to meet the needs of various engineering and design well.

Accompanying drawing explanation

In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, the accompanying drawing used required in embodiment or description of the prior art will be briefly described below.It should be evident that the accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the premise not paying creative work, it is also possible to obtain other embodiment according to these accompanying drawings.

Fig. 1 is the program flow diagram of prior art wind machine a kind of detailed description of the invention of performance data acquisition methods；

Fig. 2 is the program flow diagram of a kind of detailed description of the invention of wind mill performance data capture method of the present invention；

Fig. 3 is the power curve schematic diagram in wind mill performance data capture method of the present invention；

Fig. 4 is the thrust coefficient curve synoptic diagram in wind mill performance data capture method of the present invention；

Fig. 5 is the power coefficient curve synoptic diagram in wind mill performance data capture method of the present invention；

Fig. 6 is the system architecture diagram of a kind of detailed description of the invention of wind mill performance data-acquisition system of the present invention；

In figure: 1-basic property diagram database, 2-power curve acquiring unit, 3-generated energy computing unit.

Detailed description of the invention

For the purpose of quoting and know, by the technical term being used below, write a Chinese character in simplified form or abridge and be described below:

Bladed: the Integrated Software bag of a kind of wind mill performance and LOAD FOR；

Matlab: the business mathematics software of U.S.'s MathWorks Company, for advanced techniques computational language and the interactive environment of algorithm development, data visualization, data analysis and numerical computations；

Cp curve: power coefficient curve；

Ct curve: thrust coefficient curve；

Kopt: optimal modal gain.

For making the purpose of the embodiment of the present invention, technical scheme and advantage clearly, below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete description.Obviously, described embodiment is only a part of embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, the every other embodiment that those of ordinary skill in the art obtain under not making creative work premise, broadly fall into the scope of protection of the invention.

As shown in accompanying drawing 2 to accompanying drawing 6, giving the specific embodiment of wind mill performance data capture method of the present invention and system, below in conjunction with the drawings and specific embodiments, the invention will be further described.

It is a lot of that wind mill performance data capture method of the prior art relies on condition, it is impossible to realizes quick RESPONSE CALCULATION and the effect of result output.As shown in Figure 2, the specific embodiment of a kind of wind mill performance data capture method, set up a certain amount of basic property diagram database 1 based on Bladed software and complete blower parameter.After basic property diagram database 1 is set up, the data in basic property diagram database 1 are carried out planning and interpolation processing again, for the performance curve obtaining wind energy conversion system, and use when calculating generated energy.When adopting the performance curve under the inventive method and any atmospheric density of system-computed and the generated energy under any wind-resources, the auxiliary such as the blower fan software Bladed and software for calculation Matlab completely without specialty can be achieved with wind energy conversion system accurate calculating of performance curve and generated energy under actual wind-resources, and enormously simplify calculation process, there is the advantages such as calculating efficientibility, high precision, transfer ability of data.

As shown in Figure 2, a kind of specific embodiment of wind mill performance data capture method of the present invention, comprise the following steps:

S11: according to wind energy conversion system tractor parameter data, according to the integrated basic property diagram database 1 of performance curve of different atmospheric density apparatus for lower wind machines；

S12: obtain the performance curve under actual air density according to the performance curve in basic property diagram database 1.

Performance curve in basic property diagram database 1 farther includes power curve, thrust coefficient curve and power coefficient curve.As shown in accompanying drawing 3,4 and 5, it is the power curve schematic diagram in wind mill performance data capture method of the present invention, thrust coefficient (Ct) curve synoptic diagram and power coefficient (Cp) curve synoptic diagram respectively.

Step S12 farther includes:

The power curve under actual air density is obtained according to the power curve in basic property diagram database 1.

Wind mill performance data capture method is further comprising the steps of:

S13: by inputting the wind energy data of outside, and calculate the generated energy of wind energy conversion system in conjunction with the power curve under actual air density.

The technical scheme of the specific embodiment of the invention is exactly the acquisition problem of power curve firstly the need of what solve, just can extrapolate the power curve under actual air density according to the power curve in basic property diagram database 1, and then just can quickly be carried out the calculating of generated energy by the wind-resources data outside input.

In step s 11, the process of integrated performance diagram database 1 farther includes:

S110: under Bladed software environment, the tractor parameter model according to wind energy conversion system tractor parameter data construct wind energy conversion system；Although the specific embodiment of the invention builds the basic property diagram database 1 also utilizing Bladed software quantitative, but can not depart from Bladed software after having built and freely calculate the performance curve under various atmospheric density；

S111: according to tractor parameter model, and different atmospheric density, within the scope of the atmospheric density set, calculate the performance curve organizing wind energy conversion system according to the step interval set more；

S112: after completing the performance curve calculating organizing wind energy conversion system, build the three-dimensional data base being coordinate axes with atmospheric density, wind speed and performance number more.

Instantiation illustrates: the basis that the method that the specific embodiment of the invention describes realizes is to need the wind power generating set design software Bladed based on specialty and complete unit model parameter, an integrated complete basic property diagram database 1.Owing to wind mill performance is except depending on whole machine model parameter, only directly related with atmospheric density, so needing according to the integrated basic property diagram database 1 of performance curve under different atmospheric density.Consider the scope that atmospheric density is possible, it is possible to take atmospheric density and range for 0.80～1.30kg/m³Between set up, and according to atmospheric density 0.05kg/m³Interval set up initial data base.

The array format of data base is as shown in table 1 below:

The base data table of table 1 performance curve data base

Data in above-mentioned table 1 are that the wind power generating set design software GhBladed according to specialty is calculated obtaining.

The process of integrated data base is further:

Step S21: based on Bladed software building wind energy conversion system tractor parameter model；

Step S22: according to different atmospheric density from 0.8kg/m³To 1.3kg/m³(0.05 step interval) calculates and organizes performance curve more；

Step S23: building with atmospheric density for X-axis after completing calculating, wind speed is Y-axis, and performance number is the three-dimensional data base of Z axis.

In step s 12, the process obtaining the power curve under actual air density farther includes:

S120: actual air density position on atmospheric density coordinate axes, location, and record the step interval residing for this position；

S121: according to the position of location in step S120, extract certain wind speed V_iUnder, atmospheric density and performance number P_ijCorresponding performance curve F (V_i,P_ij), adopt interpolation method to performance curve F (V_i,P_ij) it is interpolated process, it is thus achieved that certain wind speed V_iWith the performance curve value under actual air density；

S122: repeated execution of steps S121, until calculating from incision wind speed to performance curve value all of cut-out wind speed, thus construct under actual air density, the performance curve of each wind speed correspondence performance curve values, and obtain the power curve under actual air density.

The acquisition process of performance curve is according to given atmospheric density actual value, positions this actual air density position in basic property diagram database 1 by look-up table mode, using this actual air density as interpolation point.Under each wind speed, obtain the atmospheric density in basic property diagram database 1 and performance curve, the actual air density of aforementioned record adopts interpolation algorithm substitute into and this performance curve obtains as interpolation the performance curve value under this actual air density and the double constraint of this wind speed and is recorded storing.Repetition said process completes the interpolation calculation of all properties curve values from incision wind speed to cut-out wind speed and namely completes the acquisition of complete performance curve actual air density.

Instantiation illustrates: the method integration that the specific embodiment of the invention describes is the performance curve data base under limited atmospheric density, obtains to realize the performance curve under any atmospheric density, it is assumed that need to calculate atmospheric density 1.215kg/m³Under performance curve, detailed process is as follows:

Step S31: location 1.215kg/m³Position on atmospheric density data axle；This atmospheric density 1.20kg/m in basis atmospheric density data can be positioned by data scanning³With 1.225kg/m³Between, record this position s (1.20,1.225)；

Step S32: for certain wind speed V_iThe acquisition of lower performance curve, extracts wind speed V_iLower atmospheric density and performance number P_ijCorresponding curve F (V_i,P_ij), the location according to step S31, adopt interpolation method to curve F (V_i,P_ij) carry out accurate interpolation, it is thus achieved that and record 1.215kg/m³Atmospheric density, wind speed V_iUnder performance number；Because 1.215kg/m³Performance curve value under atmospheric density covers the interval from incision wind speed to cut-out wind speed, so needing when calculating individually to be calculated each wind speed processing；

Step S33: repeat step S32, calculates the performance curve value under whole wind speed (incision wind speed to cut-out wind speed), thus builds 1.215kg/m³Under atmospheric density, the performance curve of the performance curve value that each wind speed is corresponding, as output result, complete to calculate.

Power curve owing to being had been obtained for completely by abovementioned steps, under actual air density, then solves one of essential condition of calculating for generated energy.By given wind outside resources supplIes, can be implemented without completing the calculating of generated energy based on specialty software for calculation by following generated energy computational methods.Typical wind frequency division cloth can adopt Weibull (Weibull) model to be simulated, the probability distribution of wind frequency division arranging fingers to feel pulse wind speed, and Weibull distribution is a kind of unimodal function.This function depends on two parameters (wind frequency distributed constant), is control the form parameter of the dispersion of distribution and control the scale parameter of mean wind speed distribution respectively.Generally use the power curve data of wind power generating set, estimate the annual electricity generating capacity of wind energy turbine set in conjunction with the Weibull distribution of annual mean wind speed.Annual electricity generating capacity be according to the power curve of wind energy conversion system (wind-driven generator) and time mean wind speed Weibull distribution product be integrated calculating.Power curve defines according to many discrete wind speed, and the change supposed between these points is linear.

In step s 13, the generated energy of wind energy conversion system calculates according to below equation further:

E_a=η × E

Wherein, E_aFor the generating value that wind energy conversion system is final, η is the synthetical reduction coefficient of wind energy turbine set, and E is the value of calculation of annual electricity generating capacity.

The year equivalence of wind energy turbine set utilizes hourage H_aIt is calculated according to the following formula:

H_a=E_a/P

Wherein, P is the capacity of wind energy conversion system, and unit is kW.

The computing formula of annual electricity generating capacity is:

$E=Y\underset{\mathrm{cutin}}{\overset{\mathrm{cutout}}{\mathrm{\Σ}}}P\left(V\right)f\left(V\right)\mathrm{dV}$

Wherein, P (V) is power curve, is the function of wind speed, and V is wind speed, cutin is incision wind speed, and cutout is cut-out wind speed, and Y is the hourage of a year, totally 8760 hours are considered, it is assumed that the utilization rate of wind energy turbine set is unrelated with wind speed, then the generated energy E that wind energy conversion system is final according to 365 days_aBeing that above value of calculation E is multiplied by reduction coefficient, f (V) is the probability density function of wind speed.

$f\left(V\right)=-k\frac{V^{k-1}}{{\left(c\stackrel{\‾}{V}\right)}^k}{e}^{{-\left(\frac{V}{c\stackrel{\‾}{V}}\right)}^k}$

Wherein, k is Weibull form factor, and c is scale coefficient,It it is the meansigma methods of 1 year wind speed.

For a Weibull distribution accurately, the relation of the two parameter is determined by following gamma function Γ:

$c=1/\mathrm{\Γ}(1+\frac{1}{k})$

The Weibull distribution definition of wind speed is as follows:

$F\left(V\right)={1-e}^{{-\left(\frac{V}{c\stackrel{\‾}{V}}\right)}^k}$

Wherein, the cumulative distribution that F (V) is wind speed V.

The above-mentioned wind mill performance data capture method that the specific embodiment of the invention describes has only to after the performance curve data base 1 of the integrated certain data volume of early stage, can at any time with the performance curve and the generating value that obtain wind energy conversion system fast, accurately.This, simplifies the calculating of wind mill performance data and acquisition process, shorten the calculating time, break the strong dependency to professional software and unit parameter information.

As shown in Figure 6, the specific embodiment of a kind of wind mill performance data-acquisition system, including: basic property diagram database 1 and power curve acquiring unit 2.Actual air density actual air density input power curve acquisition unit 2, power curve acquiring unit 2 is according to actual air density, and the performance curve in basic property diagram database 1 calculates the performance curve under actual air density.

Performance curve in basic property diagram database 1 farther includes power curve, thrust coefficient curve and power coefficient curve.

Basic property diagram database 1 farther includes the three-dimensional data base set up with atmospheric density, wind speed and performance number for coordinate axes.Power curve acquiring unit 2 is according to the certain wind speed V of actual air Density extraction_iUnder, atmospheric density and performance number P_ijCorresponding performance curve F (V_i,P_ij), to performance curve F (V_i,P_ij) it is interpolated process, it is thus achieved that certain wind speed V_iWith the performance curve value under actual air density, and calculate from incision wind speed to performance curve value all of cut-out wind speed, thus construct under actual air density, the performance curve of each wind speed correspondence performance curve values.System still further comprises generated energy computing unit 3, and generated energy computing unit 3, according to the power curve in performance curve, calculates the generated energy of wind energy conversion system in conjunction with outside wind energy data.

Generated energy computing unit 3 calculates the generated energy of wind energy conversion system further according to below equation:

E_a=η × E

Wherein, E_aFor the generating value that wind energy conversion system is final, η is the synthetical reduction coefficient of wind energy turbine set, and E is the value of calculation of annual electricity generating capacity.

The computing formula of annual electricity generating capacity is:

$E=Y\underset{\mathrm{cutin}}{\overset{\mathrm{cutout}}{\mathrm{\Σ}}}P\left(V\right)f\left(V\right)\mathrm{dV}$

Wherein, P (V) is the power curve formed by power curve data, and V is wind speed, and Y is the hourage of a year, and f (V) is the probability density function of wind speed.

$f\left(V\right)=-k\frac{V^{k-1}}{{\left(c\stackrel{\‾}{V}\right)}^k}{e}^{{-\left(\frac{V}{c\stackrel{\‾}{V}}\right)}^k}$

Wherein, k is Weibull form factor, and c is scale coefficient,It it is the meansigma methods of 1 year wind speed.

For a Weibull distribution accurately, the relation of the two parameter is determined by following gamma function Γ:

$c=1/\mathrm{\Γ}(1+\frac{1}{k})$

Weibull distribution definition is as follows:

$F\left(V\right)={1-e}^{{-\left(\frac{V}{c\stackrel{\‾}{V}}\right)}^k}$

Wherein, the cumulative distribution that F (V) is wind speed V.

As shown in Table 2 below, for adopting the contrast of the performance curve result of calculation that obtains of method and system that the specific embodiment of the invention describes and specialty Bladed computed in software result.By result is contrasted, it has been found that the inclined interpolation between two kinds of methods tends towards stability substantially.The single-point maximum deviation of both performance curve data is less than 1%, and after thrust coefficient curve and power coefficient curve all ensure that arithmetic point, the 4th matches with the result of calculation of Bladed software.Comparing result in table 2 gives certain 1.5MW wind energy conversion system at atmospheric density 0.98kg/m³Under condition, it is respectively adopted the inclined interpolation of performance curve of the present invention and prior art acquisition as foundation.

The calculating deviation (unit of error is %) of table 2 the inventive method and system-computed performance curve and Bladed software

As shown in table 3 below, for adopting the contrast of generated energy result of calculation that the inventive method and system obtain and specialty Matlab computed in software result.Owing to generated energy calculates the wind frequency division cloth relating to wind, calculating process is prefixed Weibull distribution probability density function accurately.In order to ensure the precision calculated, integral process be have employed the material calculation more become more meticulous.By finding that the result of calculation of the inventive method and system fullys meet sufficiently high precision with the contrast of Matlab computed in software result.Table 3 gives certain 1.5MW wind energy conversion system at atmospheric density 1.12kg/m³, and the contrast situation of the lower annual utilization hours value of calculation of combination of different wind regime condition and Matlab value of calculation.

Table 3 the inventive method and system-computed equivalence utilize hour the calculating deviation with Matlab software

By calculating contrast above, fully demonstrating the deviation between data result of calculation and the output result of specialty software for calculation that the method and system acquisition by utilizing the specific embodiment of the invention to describe realizes very little, the technical scheme of the specific embodiment of the invention is feasible property.The above-mentioned specific embodiment of the present invention provides a kind of computational methods departing from wind energy conversion system specialty software for calculation and exempting to depend on wind energy conversion system tractor parameter acquisition wind mill performance curve and generated energy.Although the specific embodiment of the invention needs to use Bladed software when constructing system, but after structure completes for practical application time just can depart from specialty software for calculation Bladed.Meanwhile, although the specific embodiment of the invention needs to use tractor parameter model when constructing system, but after having built for practical application time can depart from tractor parameter model.The performance curve acquisition methods of the specific embodiment of the invention have employed atmospheric density as independent variable, and when a certain wind speed, the performance number under each air density values is the functional value of independent variable, thus the atmospheric density constructed under this wind friction velocity-performance number curve.Under actual air density, the performance number under this wind speed is interpolated acquisition based on newly constructed atmospheric density-performance number curve.And the theory that conventionally calculation process of the prior art is based on gas dynamic theory relevant with wind energy is calculated, it cannot depart from whole machine model and specialty software for calculation.Technical scheme belongs to pure mathematics processing procedure, adopts the result that mathematical processing methods is formed atomic with professional software result of calculation difference.

By implementing wind mill performance data capture method and the system that the specific embodiment of the invention describes, it is possible to reach techniques below effect:

(1) specific embodiment of the invention describes method and system is simple and practical, versatility is good, be easily achieved；

(2) specific embodiment of the invention describe method and system without rely on specialty wind energy conversion system software Bladed and software for calculation Matlab, data acquisition cost is substantially reduced；

(3) specific embodiment of the invention describe method and system after basic database has been built, it is not necessary to rely on object wind energy conversion system tractor parameter model, the suitability is better；

(4) specific embodiment of the invention describes method and system-computed high precision thereof, computational efficiency is high, transfer ability of data is strong, it is possible to meet the needs of various engineering and design well.

In this specification, each embodiment adopts the mode gone forward one by one to describe, and what each embodiment stressed is the difference with other embodiments, between each embodiment identical similar portion mutually referring to.

The above, be only presently preferred embodiments of the present invention, and the present invention not does any pro forma restriction.Although the present invention discloses as above with preferred embodiment, but is not limited to the present invention.Any those of ordinary skill in the art, when without departing from the spirit of the present invention and technical scheme, all may utilize the method for the disclosure above and technology contents and technical solution of the present invention is made many possible variations and modification, or be revised as the Equivalent embodiments of equivalent variations.Therefore, every content without departing from technical solution of the present invention, to any simple modification made for any of the above embodiments, equivalent replacement, equivalence change and modify according to the technical spirit of the present invention, all still fall within the scope of technical solution of the present invention protection.

Claims (10)

1. a wind mill performance data capture method, it is characterised in that comprise the following steps:

S11: according to wind energy conversion system tractor parameter data, according to the integrated basic property diagram database (1) of performance curve of different atmospheric density apparatus for lower wind machines；

S12: obtain the performance curve under actual air density according to the performance curve in described basic property diagram database (1).

2. wind mill performance data capture method according to claim 1, it is characterised in that: the performance curve in described basic property diagram database (1) farther includes power curve, thrust coefficient curve and power coefficient curve.

3. wind mill performance data capture method according to claim 2, it is characterised in that described step S12 farther includes:

The power curve under actual air density is obtained according to the power curve in described basic property diagram database (1)；

Described method is further comprising the steps of:

S13: by inputting the wind energy data of outside, and calculate the generated energy of described wind energy conversion system in conjunction with the power curve under actual air density.

4. wind mill performance data capture method according to claim 3, it is characterised in that in described step S11, the process of integrated described basic property diagram database (1) farther includes:

S110: under Bladed software environment, the tractor parameter model according to wind energy conversion system tractor parameter data construct wind energy conversion system；

S111: according to described tractor parameter model, and different atmospheric density, within the scope of the atmospheric density set, calculate the performance curve organizing wind energy conversion system according to the step interval set more；

S112: after completing the performance curve calculating organizing wind energy conversion system, build the three-dimensional data base being coordinate axes with atmospheric density, wind speed and performance number more.

5. the wind mill performance data capture method according to claim 3 or 4, it is characterised in that in described step S12, the process obtaining the power curve under actual air density farther includes:

S120: actual air density position on atmospheric density coordinate axes, location, and record the step interval residing for this position；

S121: according to the position of location in described step S120, extract certain wind speed V_iUnder, atmospheric density and performance number P_ijCorresponding performance curve F (V_i,P_ij), to performance curve F (V_i,P_ij) it is interpolated process, it is thus achieved that certain wind speed V_iWith the performance curve value under actual air density；

S122: repeated execution of steps S121, until calculating from incision wind speed to performance curve value all of cut-out wind speed, thus construct under actual air density, the performance curve of each wind speed correspondence performance curve values, and obtain the power curve under actual air density.

6. wind mill performance data capture method according to claim 5, it is characterised in that in described step S13, the generated energy of wind energy conversion system calculates according to below equation further:

E_a=η × E

Wherein, E_aFor the generating value that wind energy conversion system is final, η is the synthetical reduction coefficient of wind energy turbine set, and E is the value of calculation of annual electricity generating capacity；

The computing formula of annual electricity generating capacity is:

$E=Y\underset{\mathrm{cutin}}{\overset{\mathrm{cutout}}{\∫}}P\left(V\right)f\left(V\right)\mathrm{dV}$

Wherein, P (V) is power curve function, and V is wind speed, and Y is the hourage of a year, the probability density function that f (V) is wind speed；

$f\left(V\right)=-k\frac{V^{k-1}}{{\left(c\stackrel{\‾}{V}\right)}^k}{e}^{-{\left(\frac{V}{c\stackrel{\‾}{V}}\right)}^k}$

Wherein, k is Weibull form factor, and c is scale coefficient,It it is the meansigma methods of 1 year wind speed.

7. a wind mill performance data-acquisition system, it is characterized in that, including: basic property diagram database (1) and power curve acquiring unit (2), actual air density inputs described power curve acquiring unit (2), described power curve acquiring unit (2) is according to actual air density, and the performance curve in described basic property diagram database (1) calculates the performance curve under actual air density.

8. wind mill performance data-acquisition system according to claim 7, it is characterised in that: the performance curve in described basic property diagram database (1) farther includes power curve, thrust coefficient curve and power coefficient curve.

9. wind mill performance data-acquisition system according to claim 8, it is characterized in that: described basic property diagram database (1) includes the three-dimensional data base set up with atmospheric density, wind speed and performance number for coordinate axes, and described power curve acquiring unit (2) is according to the certain wind speed V of actual air Density extraction_iUnder, atmospheric density and performance number P_ijCorresponding performance curve F (V_i,P_ij), to performance curve F (V_i,P_ij) it is interpolated process, it is thus achieved that certain wind speed V_iWith the performance curve value under actual air density, and calculate from incision wind speed to performance curve value all of cut-out wind speed, thus construct under actual air density, the performance curve of each wind speed correspondence performance curve values；Described system also includes generated energy computing unit (3), and described generated energy computing unit (3), according to the power curve in described performance curve, calculates the generated energy of wind energy conversion system in conjunction with outside wind energy data.

10. wind mill performance data-acquisition system according to claim 9, it is characterised in that described generated energy computing unit (3) calculates the generated energy of wind energy conversion system further according to below equation:

E_a=η × E

Wherein, E_aFor the generating value that wind energy conversion system is final, η is the synthetical reduction coefficient of wind energy turbine set, and E is the value of calculation of annual electricity generating capacity；

The computing formula of annual electricity generating capacity is:

$E=Y\underset{\mathrm{cutin}}{\overset{\mathrm{cutout}}{\∫}}P\left(V\right)f\left(V\right)\mathrm{dV}$

Wherein, P (V) is power curve function, and V is wind speed, and Y is the hourage of a year, the probability density function that f (V) is wind speed；

$f\left(V\right)=-k\frac{V^{k-1}}{{\left(c\stackrel{\‾}{V}\right)}^k}{e}^{-{\left(\frac{V}{c\stackrel{\‾}{V}}\right)}^k}$

Wherein, k is Weibull form factor, and c is scale coefficient,It it is the meansigma methods of 1 year wind speed.