CN109118057A - A kind of Wind turbines power output evaluation method based on realtime power curve - Google Patents
A kind of Wind turbines power output evaluation method based on realtime power curve Download PDFInfo
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Abstract
The Wind turbines power output evaluation method based on realtime power curve that the invention discloses a kind of, comprising the following steps: 1) acquire Wind turbines wind speed, the power, reliability state data in a period of time, form sample data sets；2) effective sample data are obtained by filtration according to reliability state；3) according to wind speed before conservation of energy approximate calculation wind wheel；4) wind speed before wind wheel is converted as under standard air density；5) with the new samples set that forms of data after converting, wind speed in each wind speed interval section, power average value are calculated；6) wind speed that is obtained using step 5), power average value, are fitted to obtain realtime power curve using least square method；7) it combines quality guarantee power curve to calculate power consistency coefficient, the power producing characteristics of Wind turbines is evaluated with this.The present invention not only effectively evaluating Wind turbines power producing characteristics, but also Wind turbines practical operation situation has timely been reacted, for the timely discovering device problem of wind-powered electricity generation enterprise provide technical support.
Description
Technical field
The Wind turbines power output evaluation method based on realtime power curve that the present invention relates to a kind of, this method utilize wind turbine
Group historical data calculates and is able to reflect Wind turbines and really contributes the realtime power curve of situation, and detects function with quality guarantee out
Rate curve compares, and finally power consistency coefficient is combined to evaluate Wind turbines power producing characteristics.
Background technique
The evaluation of Wind turbines power output determines measurement position, when recording one section mainly by in-site installation instrument and equipment at present
Wind speed at interior wind-powered machine unit hub height and under the wind speed unit output power, utilize data fitting method to calculate wind
Speed-power curve, and then evaluate Wind turbines power output.Existing method need the runnability to Wind turbines, output power and
Surrounding weather condition does the acquisition of long-time data, is limited, cannot be obtained under each wind speed interval by local wind friction velocity sometimes
Data cause power curve imperfect, and by factors such as environment temperature, atmospheric humidity, atmospheric pressure and unit self-characteristics
It influences, natural environment locating for different Wind turbines is different, the power curve for causing different Wind turbines different time sections to be formed
It is all different.Therefore, different newest power curve of Wind turbines in order to obtain, can consume a large amount of manpower and material resources.
Summary of the invention
For the timeliness of power curve, integrality and Wind turbines versatility, the present invention provides one kind based on real
When power curve Wind turbines contribute evaluation method, this method combine influence power curve factor, utilize Wind turbines phase
Historical data is closed, calculates Wind turbines power curve in real time, and then fast and accurately evaluate Wind turbines power producing characteristics.
The present invention adopts the following technical scheme that realize:
A kind of Wind turbines power output evaluation method based on realtime power curve, comprising the following steps:
1) the Wind turbines wind speed v in default a period of time is acquiredo, power po, reliability state soData form sample
Gather [vo,1,po,1,so,1].....[vo,m,po,m,so,m], wherein m is the number for acquiring data, m=1,2 ... n；
2) effective sample data are obtained by filtration；
3) relatively true air speed value in order to obtain obtains wind speed before wind wheel according to conservation of energy approximate calculation；
4) by wind speed v before the wind wheel being calculatedfConversion is under standard air density；
5) standard wind speed after converting and corresponding power data are as new sample set [vb,1,p1]……
[vb,i,pi], such as [2.75-3.25], [3.25-3.75], [3.75,4.25] ... [...] calculates setting wind speed interval section
To the wind speed in each wind speed interval section, power average value；
6) mean wind speed and average power data in the different wind speed interval sections for utilizing step 5) to obtain, using minimum two
Multiplication is fitted to obtain realtime power curve；
7) it is chosen using the power curve of the detection of quality guarantee out as theoretical power curve in conjunction with the realtime power curve of calculating
Using 1m/s as several wind speed points and the corresponding theoretical power (horse-power) of each wind speed point of step-length and averagely between incision wind speed and cut-out wind speed
Power calculation power consistency coefficient, the power producing characteristics of Wind turbines are evaluated with this.
A further improvement of the present invention lies in that the concrete methods of realizing of step 2) are as follows: find out that meet can in sample set
Reflect the data of Wind turbines self generating ability, i.e., when Wind turbines reliability state is in normal power generation, alarm generates electricity, different
Corresponding wind speed v and power p data, form new sample set, [v when state of often rationing the power supply1,p1,s1].....[vi,pi,
si]；Wherein, reliability state is divided into: normal power generation, alarm power generation, scheduling is rationed the power supply, exception rations the power supply, is standby, shutdown of rationing the power supply, field
Interior involvement, over-the-counter involvement, regular inspection is shut down, maintenance is shut down, weather shuts down, can not reset failure, can reset failure and offline.
A further improvement of the present invention lies in that calculation formula is as follows in step 3):
In formula: ρ is atmospheric density, kg/m3；vfFor the wind speed before wind wheel, m/s；V is the real-time wind speed of acquisition, m/s；p
For the corresponding power of v, kW；A is wind wheel blade swept area, m2；Wherein a=π r2, r is wind wheel radius, m.
A further improvement of the present invention lies in that convert formula is as follows in step 3):
In formula: vbFor wind speed before the wind wheel under standard air density, m/s；tbFor the absolute temperature of standard, DEG C；psFor atmospheric pressure
Power, kPa；tsFor environment temperature, DEG C；pbFor normal atmospheric pressure, kPa.
A further improvement of the present invention lies in that calculation formula is as follows in step 5):
In formula: vb,i,avgFor the mean wind speed in i-th of wind speed interval section, m/s；pi,avgFor in i-th of wind speed interval section
Wind speed mean power, kW；vb,i,jFor j-th of standard wind speed value in i-th of wind speed interval section, m/s；pi,jFor i-th of wind speed area
Between j-th of performance number in section, kW；niFor the number of samples of i-th of wind speed interval.
A further improvement of the present invention lies in that in step 6), power consistency coefficient calculation formula are as follows:
The present invention has following beneficial technical effect:
The present invention can not only effectively evaluating Wind turbines power producing characteristics, and can timely react Wind turbines reality
Border operating condition provides technical support for the timely discovering device potential problems of wind-powered electricity generation enterprise.
Specifically: tradition only considered wind speed, the power number of acquisition when calculating realtime power curve by historical data
According to wind speed, power data are not effectively treated and are filtered, causes calculated result that cannot embody the true hair of Wind turbines
Electric energy power.Therefore on this basis, the present invention is found out according to reliability state when Wind turbines are in normal power generation, alarm hair
Corresponding wind speed, power data when electricity, state of rationing the power supply extremely, and specific amendment is carried out to wind speed, and then be able to reflect
Wind turbines are really contributed the realtime power curve of situation, finally by power consistency coefficient to Wind turbines power producing characteristics into
Row evaluation.This method can not only effectively evaluating Wind turbines power producing characteristics, and it is true timely to react Wind turbines
Real operating condition provides technical support for the timely discovering device potential problems of wind-powered electricity generation enterprise.
Detailed description of the invention
Fig. 1 in October, 2017 power curve.
2 months 2018 power curve of Fig. 2.
Specific embodiment
The present invention is made further instructions below in conjunction with attached drawing.
A kind of Wind turbines power output evaluation method based on realtime power curve provided by the invention, this method pass through acquisition
The historical datas such as Wind turbines wind speed, power, reliability state, atmospheric pressure, environment temperature are filtered amendment, calculate energy
Enough reflection Wind turbines are really contributed the realtime power curve of situation, are contributed finally by power consistency coefficient to Wind turbines
Characteristic is evaluated, and is found out the more serious Wind turbines of performance suppression ratio and is rectified and improved in time, and then improves the power generation of Wind turbines
Ability.
1) the Wind turbines wind speed v in default a period of time is acquiredo, power po, reliability state soData form sample
Gather [vo,1,po,1,so,1].....[vo,i,po,i,so,i], wherein i is the number for acquiring data, i=1,2 ... n.
2) effective sample data are obtained by filtration, traditional method for extracting effective sample data only consider the reality in effective range
Power is run, obtained sample data cannot embody the true generating capacity of Wind turbines, for example, when leading due to limited load
When causing the decline of running of wind generating set power, it not can determine that and belong to power grid limited load or Wind turbines self reason limited load.
Therefore on this basis, the data for meeting and being able to reflect Wind turbines self generating ability in sample set are found out, that is, work as wind-powered electricity generation
Corresponding wind speed v and power p data, shape when state that unit reliability state is in normal power generation, alarm generates electricity, exception is rationed the power supply
The sample set of Cheng Xin, [v1,p1,s1].....[vi,pi,si].Wherein, reliability state is divided into: normal power generation, alarm power generation,
Scheduling rations the power supply, it is abnormal ration the power supply, be standby, shutdown of rationing the power supply, involvement in field, over-the-counter involvement, regular inspection is shut down, maintenance is shut down, weather is shut down,
Failure can not be resetted, failure can be resetted and offline.
3) it is measured due to filtered air speed data by anemobiagraph, anemobiagraph is typically mounted at behind wind wheel.And wind turbine
Energy is obtained when rotation from wind, causes the collected wind speed of anemobiagraph lower than the wind speed before wind wheel.It is opposite in order to obtain
True air speed value obtains the wind speed before wind wheel according to conservation of energy approximate calculation, and calculation formula is as follows:
In formula: ρ is atmospheric density, kg/m3；vfFor the wind speed before wind wheel, m/s；V is the real-time wind speed of acquisition, m/s；p
For the corresponding power of v, kW；A is wind wheel blade swept area, m2；Wherein a=π r2, r is wind wheel radius, m.
4) by wind speed v before the wind wheel being calculatedfConversion is under standard air density, and convert formula is as follows:
In formula: vbFor wind speed before the wind wheel under standard air density, m/s；tbFor the absolute temperature of standard, DEG C；psFor atmospheric pressure
Power, kPa；tsFor environment temperature, DEG C；pbFor normal atmospheric pressure, kPa.
5) standard wind speed after converting and corresponding power data are as new sample set [vb,1,p1]……
[vb,i,pi], such as [2.75-3.25], [3.25-3.75], [3.75,4.25] ... [...] calculates each setting wind speed interval section
Wind speed, power average value in wind speed interval section, calculation formula are as follows:
In formula: vb,i,avgFor the mean wind speed in i-th of wind speed interval section, m/s；pi,avgFor in i-th of wind speed interval section
Wind speed mean power, kW；vb,i,jFor j-th of standard wind speed value in i-th of wind speed interval section, m/s；pi,jFor i-th of wind speed area
Between j-th of performance number in section, kW；niFor the number of samples of i-th of wind speed interval.
6) mean wind speed and average power data in the different wind speed interval sections for utilizing step 5) to obtain, using minimum two
Multiplication is fitted to obtain realtime power curve.
7) it is chosen using the power curve of the detection of quality guarantee out as theoretical power curve in conjunction with the realtime power curve of calculating
Using 1m/s as several wind speed points and the corresponding theoretical power (horse-power) of each wind speed point of step-length and averagely between incision wind speed and cut-out wind speed
Power calculation power consistency coefficient, the power producing characteristics of Wind turbines are evaluated with this.Power consistency coefficient calculation formula are as follows:
The present invention can not only effectively evaluating Wind turbines power producing characteristics, and can timely react Wind turbines reality
Border operating condition provides technical support for the timely discovering device potential problems of wind-powered electricity generation enterprise.
Certain Wind turbines of 1, table in October, 2017 and 2 months 2018 mean wind speeds, mean power sample data, Fig. 1 are
The power curve in the Wind turbines in October, 2017, Fig. 2 are 2 months 2018 power curve of Wind turbines, can be with from figure
It obtains over time, although the running of wind generating set situation is good, power consistency coefficient drops to from 97.17%
95.54%, show that the unit is in performance downward trend, needs in time to check Wind turbines, adjustment operation ginseng
Number, prevents performance from further declining.
1 mean wind speed of table (m/s), mean power (kW) sample data
Claims (6)
- The evaluation method 1. a kind of Wind turbines based on realtime power curve are contributed, which comprises the following steps:1) the Wind turbines wind speed v in default a period of time is acquiredo, power po, reliability state soData form sample set [vo,1,po,1,so,1].....[vo,m,po,m,so,m], wherein m is the number for acquiring data, m=1,2 ... n；2) effective sample data are obtained by filtration；3) relatively true air speed value in order to obtain obtains wind speed before wind wheel according to conservation of energy approximate calculation；4) by wind speed v before the wind wheel being calculatedfConversion is under standard air density；5) standard wind speed after converting and corresponding power data are as new sample set [vb,1,p1]……[vb,i, pi], such as [2.75-3.25], [3.25-3.75], each wind is calculated in [3.75,4.25] ... [...] to setting wind speed interval section Wind speed, power average value in fast segment；6) mean wind speed and average power data in the different wind speed interval sections for utilizing step 5) to obtain, using least square method Fitting obtains realtime power curve；7) incision is chosen in conjunction with the realtime power curve of calculating using the power curve of the detection of quality guarantee out as theoretical power curve Using 1m/s as several wind speed points and the corresponding theoretical power (horse-power) of each wind speed point and mean power of step-length between wind speed and cut-out wind speed Power consistency coefficient is calculated, the power producing characteristics of Wind turbines are evaluated with this.
- The evaluation method 2. a kind of Wind turbines based on realtime power curve according to claim 1 are contributed, feature exist In the concrete methods of realizing of step 2) are as follows: find out the number for meeting and being able to reflect Wind turbines self generating ability in sample set According to, i.e., when Wind turbines reliability state be in normal power generation, alarm power generation, it is abnormal ration the power supply state when corresponding wind speed v with Power p data, form new sample set, [v1,p1,s1].....[vi,pi,si]；Wherein, reliability state is divided into: normal hair Electricity, alarm power generation, scheduling ration the power supply, it is abnormal ration the power supply, be standby, shutdown of rationing the power supply, involvement in field, over-the-counter involvement, regular inspection is shut down, maintenance stops Machine, weather shuts down, can not reset failure, can reset failure and offline.
- The evaluation method 3. a kind of Wind turbines based on realtime power curve according to claim 1 are contributed, feature exist In in step 3), calculation formula is as follows:In formula: ρ is atmospheric density, kg/m3；vfFor the wind speed before wind wheel, m/s；V is the real-time wind speed of acquisition, m/s；P is v pairs The power answered, kW；A is wind wheel blade swept area, m2；Wherein a=π r2, r is wind wheel radius, m.
- The evaluation method 4. a kind of Wind turbines based on realtime power curve according to claim 3 are contributed, feature exist In in step 3), convert formula is as follows:In formula: vbFor wind speed before the wind wheel under standard air density, m/s；tbFor the absolute temperature of standard, DEG C；psFor atmospheric pressure, kPa；tsFor environment temperature, DEG C；pbFor normal atmospheric pressure, kPa.
- The evaluation method 5. a kind of Wind turbines based on realtime power curve according to claim 4 are contributed, feature exist In in step 5), calculation formula is as follows:In formula: vb,i,avgFor the mean wind speed in i-th of wind speed interval section, m/s；pi,avgFor the wind in i-th of wind speed interval section Fast mean power, kW；vb,i,jFor j-th of standard wind speed value in i-th of wind speed interval section, m/s；pi,jFor i-th of wind speed interval section Interior j-th of performance number, kW；niFor the number of samples of i-th of wind speed interval.
- The evaluation method 6. a kind of Wind turbines based on realtime power curve according to claim 4 are contributed, feature exist In, in step 6), power consistency coefficient calculation formula are as follows:
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Cited By (6)
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| 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 |
| CN111738556A (en) * | 2020-05-26 | 2020-10-02 | 南京华盾电力信息安全测评有限公司 | Method for evaluating power generation capacity of fan based on head microclimate |
| CN112943561A (en) * | 2021-03-17 | 2021-06-11 | 中国华能集团清洁能源技术研究院有限公司 | Wind turbine generator output performance evaluation method and system |
| CN113642194A (en) * | 2021-09-01 | 2021-11-12 | 中国船舶重工集团海装风电股份有限公司 | Wind generating set adjustable upper limit calculation method and active power scheduling method |
| CN114172593A (en) * | 2021-11-04 | 2022-03-11 | 杭州涂鸦信息技术有限公司 | Power calibration method, calibration equipment and calibration system of wireless module |
| CN114595989A (en) * | 2022-03-15 | 2022-06-07 | 北京博数智源人工智能科技有限公司 | Wind turbine generator performance evaluation method and device |
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
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| 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 |
| CN110083896B (en) * | 2019-04-12 | 2023-03-24 | 沈阳工业大学 | Standard reaching conformity degree evaluation method for wind turbine generator operating power curve |
| CN111738556A (en) * | 2020-05-26 | 2020-10-02 | 南京华盾电力信息安全测评有限公司 | Method for evaluating power generation capacity of fan based on head microclimate |
| CN111738556B (en) * | 2020-05-26 | 2024-01-26 | 南京南自华盾数字技术有限公司 | Method for evaluating power generation capacity of fan based on machine head microclimate |
| CN112943561A (en) * | 2021-03-17 | 2021-06-11 | 中国华能集团清洁能源技术研究院有限公司 | Wind turbine generator output performance evaluation method and system |
| CN112943561B (en) * | 2021-03-17 | 2021-11-16 | 中国华能集团清洁能源技术研究院有限公司 | Wind turbine generator output performance evaluation method and system |
| CN113642194A (en) * | 2021-09-01 | 2021-11-12 | 中国船舶重工集团海装风电股份有限公司 | Wind generating set adjustable upper limit calculation method and active power scheduling method |
| CN113642194B (en) * | 2021-09-01 | 2024-02-02 | 中船海装风电有限公司 | Wind generating set adjustable upper limit calculation method and active power scheduling method |
| CN114172593A (en) * | 2021-11-04 | 2022-03-11 | 杭州涂鸦信息技术有限公司 | Power calibration method, calibration equipment and calibration system of wireless module |
| CN114595989A (en) * | 2022-03-15 | 2022-06-07 | 北京博数智源人工智能科技有限公司 | Wind turbine generator performance evaluation method and device |
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Application publication date: 20190101 |