CN109345113A - Wind turbines performance estimating method and medium - Google Patents
Wind turbines performance estimating method and medium Download PDFInfo
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- CN109345113A CN109345113A CN201811148645.4A CN201811148645A CN109345113A CN 109345113 A CN109345113 A CN 109345113A CN 201811148645 A CN201811148645 A CN 201811148645A CN 109345113 A CN109345113 A CN 109345113A
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The invention discloses a kind of Wind turbines performance estimating method and media, wherein, Wind turbines performance estimating method includes: the power curve data and operation data for acquiring Wind turbines, standard rated wind speed is calculated according to the power curve data, calibration power coefficient curve is constructed based on the standard rated wind speed, according to the operation data and the calibration power coefficient curve, determine wind speed coefficient correction function, wind speed coefficient after being corrected, according to the wind speed coefficient after the calibration power coefficient curve and the correction, realize the performance measurement to different Wind turbines, to carry out Performance Evaluation, to improve the objectivity of Wind turbines Performance Evaluation, accuracy and operation efficiency.
Description
Technical field
The present invention relates to technical field of wind power generation more particularly to a kind of Wind turbines performance estimating methods and medium.
Background technique
Wind power plant is made of Wind turbines, the pylon, transmission line of electricity, the booster stations that support unit etc., wherein wind turbine
Group is important component part, and whether the quality of runnability is related to entire wind power plant being capable of the safe and economic operation.
In the related technology, if Authorization Notice No. CN104895819B is there are the method for a kind of pair of Wind turbines Performance Evaluation, one is disclosed
The method how kind constructs " standard wind speed coefficient-power coefficient curve " (that is: 17799 curves), and it is based on standard wind speed coefficient-
Power coefficient curve is tested for the property each Wind turbines, to realize Wind turbines in same substandard Performance Evaluation.
But there are drawbacks for above-mentioned Wind turbines Performance Evaluation process, are embodied in following two points:
1, there are deviation and nothings for the theoretical rated wind speed of usual manufacturer provides to client rated wind speed and Wind turbines
Rule；
2, each Wind turbines manufacturer generally all carries out the air speed data that anemobiagraph measures in real time in SCADA system different
Degree amendment, and correction function is different.
Make to carry out performance survey to Wind turbines based on standard wind speed coefficient-power coefficient curve due to both
Examination, accuracy as a result reduce, and obtained Wind turbines the performance test results also hardly result in public approval.
Summary of the invention
In view of the above-mentioned technical problems in the prior art, the present invention provide a kind of Wind turbines performance estimating method and
Medium can calculate the standard rated wind speed of the closer theoretical value of Wind turbines, and carry out to the modified wind speed of manufacturer
Correction makes it closer to actual wind speed, improves the objectivity and accuracy of Wind turbines assessment.
In order to solve the above-mentioned technical problem, present invention employs following technical solutions:
Embodiments herein provides a kind of Wind turbines performance estimating method, comprising:
S1 acquires the power curve data and operation data of Wind turbines；
S2, calculates standard rated wind speed according to the power curve data, constructs standard based on the standard rated wind speed
Power coefficient curve；
S3 determines wind speed coefficient correction function, obtains school according to the operation data and the calibration power coefficient curve
Wind speed coefficient after just；
S4 is realized according to the wind speed coefficient after the calibration power coefficient curve and the correction to different Wind turbines
Performance measurement, to carry out Performance Evaluation.
Preferably, it is described according to the power curve data, calculate standard rated wind speed, comprising: according to the power
The changing condition and rated power of curve data calculate standard rated wind speed.
Preferably, it is described according to the operation data and the calibration power coefficient curve, determine wind speed coefficient correction
Function, comprising: according to the actual power coefficient curve obtained with the operation data and the standard rated wind speed, choose target
Power coefficient curve；
According to the calibration power coefficient curve and the target power coefficient curve, the wind speed coefficient correction letter is determined
Number；Wherein: the target power coefficient curve are as follows: the function of the optimal target Wind turbines of performance in power coefficient curve
Rate coefficient curve.
Preferably, the basis is bent with the actual power coefficient that the operation data and the standard rated wind speed obtain
Line chooses target power coefficient curve, comprising: according to the operation data of the Wind turbines, the standard rated wind speed and volume
Determine power, calculates wind speed coefficient and power coefficient when the running of wind generating set；
Wind speed coefficient and power coefficient when according to the running of wind generating set, determine the reality of the Wind turbines
Power coefficient curve indicates the wind speed coefficient of the Wind turbines and the practical corresponding relationship of power coefficient；
According to the selection indicators pre-seted, the actual power coefficient curve of the Wind turbines is carried out preferably, to determine institute
State target power coefficient curve.
Preferably, determining the wind speed according to the calibration power coefficient curve and the target power coefficient curve
Coefficient correction function, comprising: under the same coordinate system, by the target power coefficient curve and the calibration power coefficient curve
Fitting, determines the wind speed coefficient correction function.
Preferably, the Performance Evaluation, comprising: according to the wind speed coefficient and the calibration power coefficient after the correction
Curve determines the calibration power coefficient of Wind turbines to be measured；
Calculate the actual power coefficient of the Wind turbines to be measured；
According to the calibration power coefficient and the actual power coefficient, Wind turbines to be measured are assessed.
Preferably, the present embodiment Wind turbines performance estimating method further include: under the same coordinate system, be based on wind to be measured
Wind speed coefficient, actual power coefficient and the calibration power coefficient of motor group are generated for characterizing running of wind generating set process to be measured
With the gauge load curve of performance；The coordinate system is at least a wherein coordinate with time shaft.
Preferably, described according to the calibration power coefficient and the actual power coefficient, to Wind turbines to be measured into
Row assessment, comprising: according to state demarcation logic, the calibration power coefficient and the actual power coefficient, to wind turbine to be measured
The operating status of group is divided.
Preferably, described according to the calibration power coefficient and the actual power coefficient, to Wind turbines to be measured into
Row assessment, comprising: runing time and power output situation of the statistics Wind turbines to be measured under different conditions；
Graphically export the operating status, runing time and/or power output situation of the Wind turbines to be measured.
Compared with prior art, the beneficial effect of embodiments herein is:
The present embodiment Wind turbines performance estimating method is by substituting specified wind in the prior art for standard rated wind speed
Wind speed coefficient after correction is substituted wind speed coefficient in the prior art by speed, avoids or reduces wind to be measured provided by manufacturer
Difference between the rated wind speed of motor group and theoretical rated wind speed, and each Wind turbines manufacturer of correction are real-time to anemobiagraph
The air speed data that measures carries out amendment in various degree and makes a difference, and improves the objectivity, accurate of Wind turbines Performance Evaluation to be measured
Property and operation efficiency.
In addition, embodiments herein provides a kind of computer readable storage medium, it is stored thereon with computer program and refers to
It enables, realizes above-mentioned method when the computer program instructions are performed.
Compared with prior art, the beneficial effect of embodiments herein is:
Embodiments herein computer readable storage medium is able to carry out above-mentioned Wind turbines performance estimating method, with
Performance Evaluation is carried out to Wind turbines to be measured, improves objectivity, accuracy and the operation efficiency of Wind turbines performance evaluation result.
Detailed description of the invention
Fig. 1 is Wind turbines performance estimating method schematic flow chart provided in an embodiment of the present invention；
Fig. 2 is calibration power coefficient curve schematic diagram provided by the relevant technologies；
Fig. 3-1 is the power curve provided based on manufacturer and rated wind speed, the power coefficient curve drawn out；
Fig. 3-2 is the power curve provided based on manufacturer and standard rated wind speed provided in an embodiment of the present invention, is drawn
Power coefficient curve out；
Fig. 4 is power coefficient curve scatter plot provided in an embodiment of the present invention；
Fig. 5 is gauge load curve synoptic diagram provided in an embodiment of the present invention；
Fig. 6 is time cake schematic diagram provided in an embodiment of the present invention；
Fig. 7 is energy stick schematic diagram provided in an embodiment of the present invention.
Specific embodiment
Below in conjunction with attached drawing, embodiments of the present invention is described in detail, but not as a limitation of the invention.
It should be understood that various modifications can be made to disclosed embodiments.Therefore, description above should not regard
To limit, and only as the example of embodiment.Those skilled in the art will expect within the scope and spirit of this
Other modifications.
The attached drawing being included in the description and forms part of the description shows embodiment of the disclosure, and with it is upper
What face provided is used to explain the disclosure together to substantially description and the detailed description given below to embodiment of the disclosure
Principle.
By the description of the preferred form with reference to the accompanying drawings to the embodiment for being given as non-limiting example, the application's
These and other characteristic will become apparent.
It is also understood that although the application is described referring to some specific examples, those skilled in the art
Member realizes many other equivalents of the application in which can determine, they have the feature such as claim and are therefore all located at
In protection scope defined by whereby.
When read in conjunction with the accompanying drawings, in view of following detailed description, above and other aspect, the feature and advantage of the disclosure will become
It is more readily apparent.
The specific embodiment of the disclosure is described hereinafter with reference to attached drawing；It will be appreciated, however, that the disclosed embodiments are only
Various ways implementation can be used in the example of the disclosure.Known and/or duplicate function and structure and be not described in detail to avoid
Unnecessary or extra details makes the disclosure smudgy.Therefore, specific structural and functionality disclosed herein is thin
Section is not intended to restrictions, but as just the basis of claim and representative basis be used to instructing those skilled in the art with
Substantially any appropriate detailed construction diversely uses the disclosure.
This specification can be used phrase " in one embodiment ", " in another embodiment ", " in another embodiment
In " or " in other embodiments ", it can be referred to one or more of the identical or different embodiment according to the disclosure.
Firstly, correspond to the Chinese patent literature (hereinafter referred to as " document ") of Authorization Notice No. CN104895819B, it will herein
Involved in term be defined as follows, but limited not as unique:
Power curve data herein can refer to wind speed-output power data in document；
The description of power curve is referred to herein, can refer to the wind speed power curve in document；
Calibration power coefficient curve herein can refer to standard wind speed coefficient-power coefficient curve in document；
Other terms herein can refer to the corresponding term in document.
In the following, the embodiment of the present application is described in detail in conjunction with attached drawing.Fig. 1 is the wind-powered electricity generation according to one embodiment of the present of invention
The schematic flow chart of unit performance appraisal procedure.As shown in Figure 1, a kind of Wind turbines performance that embodiments herein provides
Appraisal procedure, comprising:
S1 acquires the power curve data and operation data of Wind turbines.
Wherein, power curve data is the data that Wind turbines manufacturer provides comprising power and wind speed and the two
Between corresponding relationship.Operation data is the data that the SCADA system of wind power plant is exported.
S2, calculates standard rated wind speed according to power curve data, constructs calibration power coefficient based on standard rated wind speed
Curve (17799 curves show calibration power coefficient curve schematic diagram provided by the relevant technologies referring to fig. 2).Wherein, it marks
Quasi- rated wind speed is theoretical minimum windspeed of the Wind turbines when reaching rated power.Calibration power coefficient curve indicates wind turbine
The wind speed coefficient of group and the standard corresponding relationship of power coefficient.
Specifically, according to power curve data, standard rated wind speed is calculated, comprising:
According to the changing condition and rated power of power curve data, standard rated wind speed is calculated.
For example, constructing power curve according to power curve data.
The slope for calculating power curve each point determines standard rated wind speed according to the slope and rated power of power curve,
Specific formula for calculation is as follows:
Wherein, vStandard _ rExpression standard rated wind speed, PrIndicate rated power, PkIndicate the power of inflection point in power curve, vk
Indicate that the wind speed of inflection point in power curve, k indicate the slope of inflection point in power curve.Here, inflection point is concave-convex in power curve
The changed point of property.
In actual application, manufacturer can provide power curve data corresponding to each Wind turbines, specifically such as
Shown in the following table 1.
Table 1
According to power curve, the slope of the non-zero two o'clock of power is successively calculated, until there is inflection point, i.e., (10,1424).It determines
Two o'clock before inflection point, i.e. (8,803), (9,1138), the two put the intersection point of constituted extended line and rated power extended line, i.e.,
(X, 1500).Using numerical value corresponding to the abscissa X of intersection point as standard rated wind speed.Alternatively, some institute before inflection point is right
Abscissa corresponding to certain point between abscissa corresponding to the abscissa and intersection point answered as standard rated wind speed, i.e., will (9,
1138) certain point between the abscissa X in abscissa 9 and (X, 1500) in is as standard rated wind speed, preferably abscissa 9
Median between abscissa X is as standard rated wind speed.
S3 determines wind speed coefficient correction function, the wind after being corrected according to operation data and calibration power coefficient curve
Fast coefficient.
It should be noted that there is no the unification of the rated wind speed of determining Wind turbines in actual application, in industry
Regulation, Wind turbines manufacturer when determining rated wind speed, exist mostly manufacturer determine Wind turbines rated wind speed
It differs greatly with the theoretical rated wind speed of Wind turbines.The power curve and rated wind speed provided based on manufacturer, is drawn out
Power coefficient curve as shown in figure 3-1, based on manufacturer provide power curve and standard rated wind speed, the power train drawn out
Number curve is as shown in figure 3-2.It is compared by Fig. 3-1 and Fig. 3-2, can significantly determine the present embodiment Wind turbines Performance Evaluation
Method passes through the beneficial effect for the rated wind speed for providing standard rated wind speed substitution manufacturer.
Specifically, according to operation data and calibration power coefficient curve, wind speed coefficient correction function is determined, comprising:
According to the actual power coefficient curve obtained with operation data and standard rated wind speed, it is bent to choose target power coefficient
Line.
According to calibration power coefficient curve and target power coefficient curve, wind speed coefficient correction function is determined.Wherein: target
Power coefficient curve are as follows: the power coefficient curve of the optimal target Wind turbines of performance in power coefficient curve.
Preferably, choosing target according to the actual power coefficient curve obtained with operation data and standard rated wind speed
The process of power coefficient curve is as follows:
According to the operation data of Wind turbines, standard rated wind speed and rated power, wind when running of wind generating set is calculated
Fast coefficient and power coefficient.
Wind speed coefficient and power coefficient when according to running of wind generating set determine that the actual power coefficient of Wind turbines is bent
Line indicates the wind speed coefficient of Wind turbines and the practical corresponding relationship of power coefficient.
According to the selection indicators pre-seted, the actual power coefficient curve of Wind turbines is screened, determines target function
Rate coefficient curve.
For example, operation data includes power data (for example, active power real time data) and air speed data (for example, wind speed
Real time data), according to power data and rated power, calculate power coefficient when running of wind generating set, according to air speed data and
Standard rated wind speed calculates wind speed coefficient when running of wind generating set.Wind speed coefficient-power coefficient coordinate system is constructed, reality is obtained
When coefficient scatter plot.The a certain range of point of screening criteria power coefficient curve, to have for being fitted actual power coefficient curve
Body can be the point in positive and negative 5%, 10%, 15% or 20% range of calibration power coefficient curve, here, recommend screening criteria function
Point in positive and negative 15% range of rate coefficient curve.Selection indicators can be generated energy or standard energy availability.
When herein using generated energy as selection indicators, detailed process is as follows:
According to actual power coefficient curve, the generated energy of Wind turbines is calculated.For example, choosing the wind-powered electricity generation of any a period of time
Air speed data, the power data of Wind turbines, obtain the actual power coefficient curve of Wind turbines in, utilize design or statistics
Wind frequency curve calculate the generated energy of every Wind turbines.
According to the generated energy of Wind turbines and the first screening rule, target Wind turbines are determined in more Wind turbines of comforming.
Wherein, the first screening rule is according to the generated energy of Wind turbines to determine the accurate of target Wind turbines, specifically can according to
The practical application request at family is configured, and such as the first screening rule is the Wind turbines for screening maximum generating watt, is determined at this time
Target Wind turbines be the maximum Wind turbines of generated energy；For another example the first screening rule is the wind that screens generated energy and ranked second
Motor group, the target Wind turbines determined at this time are the Wind turbines that generated energy ranked second.
Using actual power coefficient curve corresponding to target Wind turbines as target power coefficient curve, to embody wind-powered electricity generation
The expection operation conditions of Wind turbines in.
Here, the present embodiment Wind turbines performance estimating method is using the generated energy of each Wind turbines as selection indicators, with
Determine target Wind turbines, the target power coefficient for filtering out the expection operation conditions that can characterize Wind turbines in wind power plant is bent
Line.
When herein using standard energy availability as selection indicators, detailed process is as follows:
When calculating for the first time, a Wind turbines are randomly choosed as target Wind turbines.Determine the standard wind of Wind turbines
Fast coefficient correction function.According to the standard wind speed coefficient correction function of Wind turbines, the wind speed coefficient of corresponding Wind turbines is corrected.
According to the wind speed coefficient and calibration power coefficient curve after the correction of Wind turbines, the standard energy for calculating Wind turbines is available
Rate.According to the standard energy availability and the second screening rule of Wind turbines, initial target wind is determined in more Wind turbines of comforming
Motor group.Using actual power coefficient curve corresponding to initial target Wind turbines as initial target power coefficient curve.
Wherein, the second screening rule is the standard that target Wind turbines are determined according to the standard energy availability of Wind turbines
Then, it can be specifically configured according to the practical application request of user, such as the second screening rule is screening criteria energy availability
Maximum Wind turbines, the initial target Wind turbines determined at this time are the maximum Wind turbines of standard energy availability.
Above-mentioned approximating method is repeated, determines initial wind speed coefficient correction function.Until new target Wind turbines and upper one
It is final true until the determining target Wind turbines of step are same, and using this Wind turbines as final goal Wind turbines
Determine wind speed coefficient correction function., can be six times by preferred cycle in specific method, to determine target Wind turbines, filter out
The target power coefficient curve of the expection operation conditions of Wind turbines in wind power plant can be characterized.
Preferably, determining wind speed coefficient correction function according to calibration power coefficient curve and target power coefficient curve
Process it is as follows:
Under the same coordinate system, target power coefficient curve and calibration power coefficient curve are fitted, determine wind speed coefficient
Correction function.
For example, creating wind speed using the wind speed-power real time data and " 17799 curve " of the target Wind turbines of acquisition
Coefficient sets (v1,v′1),(v2,v′2),L,(vi,v′i),L,(vn,v′n), the ginseng of correction function is calculated using least square method
Number.
Standard wind speed coefficient correction function are as follows: v '=k × v+b, wherein v indicates that the wind speed coefficient before correction, k indicate oblique
Rate parameter, b indicate that intercept parameter, the wind speed coefficient after v ' expression correction can be calculated, specific equation by solving equation
For p=0.17v '2- 0.79v '+0.9, i.e. " 17799 curve ", wherein p indicates power coefficient.
The calculation formula of Slope Parameters k and intercept parameter b are as follows:
Wherein, i=1,2, L, n, n indicate the number of array in wind speed coefficient sets, viIt indicates i-th in wind speed coefficient sets
The just preceding wind speed coefficient of a array lieutenant colonel,Indicate wind speed coefficient average value before correcting, v 'iIt indicates in wind speed coefficient sets i-th
Wind speed coefficient after being corrected in array,Indicate wind speed coefficient average value after correcting.
Here, it is shown in conjunction with Fig. 4, Fig. 4 before correcting, power coefficient curve scatter plot after correction, the present embodiment wind turbine
Group performance estimating method wind speed coefficient according to wind speed coefficient after correction and before correcting, determines wind speed coefficient correction function, to improve
The accuracy of Wind turbines performance estimating method.
S4 is realized and is surveyed to the performance of different Wind turbines according to the wind speed coefficient after calibration power coefficient curve and correction
It is fixed, to carry out Performance Evaluation.
Specifically, Performance Evaluation includes:
According to the wind speed coefficient and calibration power coefficient curve after correction, the calibration power system of Wind turbines to be measured is determined
Number；
Calculate the actual power coefficient of Wind turbines to be measured；
At this point, can be under the same coordinate system, wind speed coefficient, actual power coefficient and mark based on Wind turbines to be measured
Quasi- power coefficient generates the gauge load curve for characterizing running of wind generating set process and performance to be measured；The coordinate system is at least
It is a wherein coordinate with time shaft.Fig. 5 shows the representation of gauge load curve.
According to calibration power coefficient and actual power coefficient, Wind turbines to be measured are assessed.Based on calibration power system
Several and actual power coefficient, assesses Wind turbines to be measured, helps to improve the accuracy of Performance Evaluation.
Preferably, being assessed according to calibration power coefficient and actual power coefficient Wind turbines to be measured, comprising:
According to state demarcation logic, calibration power coefficient and actual power coefficient, to the operating status of Wind turbines to be measured
It is divided.Operating status is: data outage, shutdown, standby, limited load, normal, super nameplate.State demarcation logic are as follows:
First, if there is the case where abnormal data or no data, judge operating status for data outage；
Second, if calibration power coefficient is greater than zero, and actual power coefficient is less than or equal to zero, then judges operating status to stop
Machine；
Third, if calibration power coefficient be equal to zero, and actual power coefficient be less than or equal to zero, then judge operating status for
Machine；
4th, if actual power coefficient is less than or equal to the 85% of calibration power coefficient, judge operating status for limited load；
5th, if actual power coefficient is greater than the 85% of calibration power coefficient, judge that operating status is normal；
6th, if actual power coefficient is greater than the 101% of calibration power coefficient, judge operating status for super nameplate.
Preferably, being assessed according to calibration power coefficient and actual power coefficient Wind turbines to be measured, comprising:
Count runing time and power output situation of the Wind turbines to be measured under different conditions；
Graphically export the operating status, runing time and/or power output situation of Wind turbines to be measured.
Can specifically be implemented by following various modes, count duration, the rate of energy loss of each operating status with
And standard energy availability, the operating status of Wind turbines is more intuitively presented.Wherein:
1) with the visualization meter type output of time cake, the evaluation index of time-based Wind turbines is calculated；It can join
Readding Fig. 6 is time cake schematic diagram provided in an embodiment of the present invention, it illustrates the representation of time cake, in actual diagram,
Can indicate different conditions by the face domain ratio of the pie charts of different colours and each pie chart, for example, data outage, it is standby, stop
The accumulated time of the states such as machine, limited load, normal；
2) with energy stick visualization meter type output, power output feelings of the Wind turbines to be measured under different conditions are counted
Condition calculates the evaluation index of the Wind turbines based on energy, can be energy stick provided in an embodiment of the present invention signal refering to Fig. 7
Figure, can be by the bar of different colours in actual diagram it illustrates the representation of energy stick, and (0-1.0)
Ratio value indicates the energy utilization situation under different conditions, such as standard energy availability, limited load state energy loss late, shuts down
State energy loss late, normal operating condition rate of energy loss etc..
Here, the present embodiment Wind turbines performance estimating method is by substituting volume in the prior art for standard rated wind speed
Determine wind speed, the wind speed coefficient after correction substituted into wind speed coefficient in the prior art, avoid or reduce provided by manufacturer to
The difference between the rated wind speed of Wind turbines and theoretical rated wind speed, and each Wind turbines manufacturer of correction are surveyed to anemobiagraph
The air speed data that measures in real time carries out amendment in various degree and makes a difference, improve Wind turbines Performance Evaluation to be measured objectivity,
Accuracy and operation efficiency.
In addition, embodiments herein provides a kind of computer readable storage medium, it is stored thereon with computer program
Instruction, when computer program instructions are performed the realization above method.
Embodiments herein computer readable storage medium is able to carry out above-mentioned Wind turbines performance estimating method, with
Performance Evaluation is carried out to Wind turbines to be measured, improves objectivity, accuracy and the operation efficiency of Wind turbines performance evaluation result.
Above embodiments are only exemplary embodiment of the present invention, are not used in the limitation present invention, protection scope of the present invention
It is defined by the claims.Those skilled in the art can within the spirit and scope of the present invention make respectively the present invention
Kind modification or equivalent replacement, this modification or equivalent replacement also should be regarded as being within the scope of the present invention.
Claims (10)
1. a kind of Wind turbines performance estimating method, comprising:
S1 acquires the power curve data and operation data of Wind turbines；
S2, calculates standard rated wind speed according to the power curve data, constructs calibration power based on the standard rated wind speed
Coefficient curve；
S3 determines wind speed coefficient correction function, after obtaining correction according to the operation data and the calibration power coefficient curve
Wind speed coefficient；
S4 realizes the property to different Wind turbines according to the wind speed coefficient after the calibration power coefficient curve and the correction
It can measure, to carry out Performance Evaluation.
2. according to the method described in claim 1, described according to the power curve data, calculating standard rated wind speed, comprising:
According to the changing condition and rated power of the power curve data, standard rated wind speed is calculated.
3. determining according to the method described in claim 1, described according to the operation data and the calibration power coefficient curve
Wind speed coefficient correction function, comprising:
According to the actual power coefficient curve obtained with the operation data and the standard rated wind speed, target power system is chosen
Number curve；
According to the calibration power coefficient curve and the target power coefficient curve, the wind speed coefficient correction function is determined；
Wherein:
The target power coefficient curve are as follows: the power train of the optimal target Wind turbines of performance in power coefficient curve
Number curve.
4. according to the method described in claim 3, what the basis was obtained with the operation data and the standard rated wind speed
Actual power coefficient curve chooses target power coefficient curve, comprising:
According to the operation data of the Wind turbines, the standard rated wind speed and rated power, the Wind turbines fortune is calculated
Wind speed coefficient and power coefficient when row；
Wind speed coefficient and power coefficient when according to the running of wind generating set, determine the actual power of the Wind turbines
Coefficient curve indicates the wind speed coefficient of the Wind turbines and the practical corresponding relationship of power coefficient；
According to the selection indicators pre-seted, the actual power coefficient curve of the Wind turbines is carried out preferably, to determine the mesh
Mark power coefficient curve.
5. according to the method described in claim 3, according to the calibration power coefficient curve and the target power coefficient curve,
Determine the wind speed coefficient correction function, comprising:
Under the same coordinate system, the target power coefficient curve and the calibration power coefficient curve are fitted, described in determination
Wind speed coefficient correction function.
6. according to the method described in claim 1, the Performance Evaluation, comprising:
According to after the correction wind speed coefficient and the calibration power coefficient curve, determine the calibration power of Wind turbines to be measured
Coefficient；
Calculate the actual power coefficient of the Wind turbines to be measured；
According to the calibration power coefficient and the actual power coefficient, Wind turbines to be measured are assessed.
7. according to the method described in claim 6, this method further include:
Under the same coordinate system, wind speed coefficient, actual power coefficient and calibration power coefficient based on Wind turbines to be measured are generated
For characterizing the gauge load curve of running of wind generating set process and performance to be measured；
The coordinate system is at least a wherein coordinate with time shaft.
8. treating according to the method described in claim 6, described according to the calibration power coefficient and the actual power coefficient
Wind turbines are surveyed to be assessed, comprising:
Operation according to state demarcation logic, the calibration power coefficient and the actual power coefficient, to Wind turbines to be measured
State is divided.
9. treating according to the method described in claim 8, described according to the calibration power coefficient and the actual power coefficient
Wind turbines are surveyed to be assessed, comprising:
Count runing time and power output situation of the Wind turbines to be measured under different conditions；
Graphically export the operating status, runing time and/or power output situation of the Wind turbines to be measured.
10. a kind of computer readable storage medium, is stored thereon with computer program instructions, when the computer program instructions quilt
Such as method according to any one of claims 1 to 9 is realized when execution.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110083896A (en) * | 2019-04-12 | 2019-08-02 | 沈阳工业大学 | Running of wind generating set power curve degree of conformity evaluation method up to standard |
| CN110826899A (en) * | 2019-10-31 | 2020-02-21 | 三一重能有限公司 | Performance evaluation method, device, equipment and storage medium of wind generating set |
| CN111369390A (en) * | 2020-03-30 | 2020-07-03 | 北京拾易技术有限公司 | Application method and system of twin power curve model of wind generating set |
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