CN105022909A - Engine room wind speed and power curve based method for evaluating theoretical power of wind farm - Google Patents

Engine room wind speed and power curve based method for evaluating theoretical power of wind farm Download PDF

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Publication number
CN105022909A
CN105022909A CN201410519886.0A CN201410519886A CN105022909A CN 105022909 A CN105022909 A CN 105022909A CN 201410519886 A CN201410519886 A CN 201410519886A CN 105022909 A CN105022909 A CN 105022909A
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Prior art keywords
wind
wind speed
theoretical power
power
energy turbine
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CN201410519886.0A
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Chinese (zh)
Inventor
姜文玲
冯双磊
王勃
王伟胜
刘纯
赵艳青
王铮
杨红英
郭子明
张昊
张�浩
阎博
戚岳
邢金
宋磊
李新鹏
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
State Grid Jibei Electric Power Co Ltd
CLP Puri Zhangbei Wind Power Research and Test Ltd
Original Assignee
State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
State Grid Jibei Electric Power Co Ltd
CLP Puri Zhangbei Wind Power Research and Test Ltd
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Application filed by State Grid Corp of China SGCC, China Electric Power Research Institute Co Ltd CEPRI, State Grid Jibei Electric Power Co Ltd, CLP Puri Zhangbei Wind Power Research and Test Ltd filed Critical State Grid Corp of China SGCC
Priority to CN201410519886.0A priority Critical patent/CN105022909A/en
Publication of CN105022909A publication Critical patent/CN105022909A/en
Pending legal-status Critical Current

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Abstract

An engine room wind speed and power curve based method for evaluating theoretical power of a wind farm. The method comprises the following steps of: determining measurement data of an engine room wind speed of a wind turbine generator and an actual output power of the wind turbine generator within a normal operation period of the wind turbine generator; determining a wind speed and power curve of the engine room wind speed and the actual output power within the normal operation period of the wind turbine generator; determining theoretical power of the wind turbine generator within an abnormal operation period of the wind turbine generator; and determining the theoretical power of the wind farm within the abnormal operation period of the wind turbine generator. According to the method, a wind tower does not need to be set up, so that operation and maintenance cost of the wind farm can be greatly reduced; errors introduced due to an excessively long distance and improper selection of parameters or methods in the flow field calculation process are avoided and estimation accuracy is improved; and due to refinement of calculation to the single fan degree, the method is convenient to distinguish whether the source of electricity loss is scheduling abandoned wind or a fan failure and the like.

Description

A kind of wind energy turbine set theoretical power appraisal procedure based on nacelle wind speed powertrace
Technical field
The present invention relates to a kind of method of technical field of wind power generation, specifically relate to a kind of wind energy turbine set theoretical power appraisal procedure based on nacelle wind speed powertrace.
Background technology
Along with the fast development of wind-powered electricity generation, cause because digestion capability is limited to abandon wind phenomenon frequently existing, also there is the electric quantity loss because the reasons such as disorderly closedown cause, how these electric quantity losses of Scientific evaluation and the origin cause of formation thereof have more and more been subject to extensive concern in the industry simultaneously.Assess electric quantity loss, first need to assess the theoretical power of Wind turbines/wind energy turbine set, this ability also claims " theoretical power ".
In actual production, the electric quantity loss that wind energy turbine set reports to scheduling, some installed capacitys are as theoretical power, some employing calculation intervals rise, stop the mean value of moment power as theoretical power, some predicted power are as theoretical power, these methods due to lack theoretical foundation or error excessive, the unsuitable foundation as assessing wind energy turbine set generating capacity.
In prior art, mainly comprise mark post blower fan method, historical data method two class for the method for abandoning wind-powered electricity generation amount assessment wind energy turbine set theoretical power.
Mark post blower fan method, for retaining a few Fans and normally run abandoning the wind period, calculates the theoretical power of whole wind energy turbine set according to the real power of this few Fans.Exert oneself due to blower fan and be subject to the impact of the factors such as surface condition, wind direction, blower fan wake flow, the not simple linear relationship of exerting oneself of different blower fan, and to occur in real time to change, thus there is the problem of over-simplification in mark post blower fan method, easily bring the larger error of calculation, particularly under the conditions such as wind energy turbine set landform comparatively complicated situation.
Historical data method has several distortion, but basic thought is all the mapping relations set up Power Output for Wind Power Field according to non-historical data of abandoning the wind period and survey between wind data, then calculates the theoretical power abandoning wind period wind energy turbine set according to mapping relations.Existing historical data method, all for whole wind energy turbine set, is analyzed from macroscopic perspective, is difficult to carry out the calculating that becomes more meticulous, and thus computational accuracy is general not high yet.
Therefore, need to provide the wind energy turbine set theoretical power appraisal procedure that a kind of error is little, precision is high.
Summary of the invention
For overcoming above-mentioned the deficiencies in the prior art, the invention provides a kind of wind energy turbine set theoretical power appraisal procedure based on nacelle wind speed powertrace.
Realizing the solution that above-mentioned purpose adopts is:
Based on a wind energy turbine set theoretical power appraisal procedure for nacelle wind speed powertrace, its improvements are: said method comprising the steps of:
I, determine that Wind turbines normally runs the measurement data of the nacelle wind speed meter of described Wind turbines in the period and the real output of described Wind turbines;
II, determine that Wind turbines normally runs the wind speed powertrace of described measurement data in the period and described real output;
III, determine the theoretical power of described Wind turbines in the Wind turbines abnormal running period;
IV, determine the theoretical power of described wind energy turbine set in the described Wind turbines abnormal running period.
Further, in described Step II, use piecewise function fitting process to set up wind speed powertrace that the Wind turbines be shown below normally runs described measurement data in the period and described real output:
0 0 &le; v s < v in 1 2 s C p &rho;&pi; R 2 v s 3 v in &le; v s < v rated p rated v rated &le; v s < v out 0 v out &le; v s
In formula, p is the output power of wind wheel, C pfor power coefficient, ρ is atmospheric density, and R is wind wheel radius, and s is nacelle wind speed correction factor, v sfor nacelle wind speed meter measuring wind, v infor incision wind speed, v ratedfor wind rating, v outfor cut-out wind speed, p ratedfor output rating.
Further, in described Step II, powertrace table method is used to set up described wind speed powertrace;
Described powertrace table method comprises: the nacelle wind speed data of acquisition are divided into some intervals, calculates the mean value of corresponding performance number in each nacelle wind speed interval, as the performance number corresponding with wind speed.
Further, in described Step II I, the Wind turbines abnormal running period, revise the mapping relations that described Wind turbines normally runs described nacelle wind speed in the period and described real output.
Further, in described Step II I, in the Wind turbines abnormal running period, according to measurement data and the revised described mapping relations of the nacelle wind speed meter of Wind turbines, calculate the theoretical power of described Wind turbines.
Further, in described step IV, press the theoretical power of described wind energy turbine set in the following formula determination Wind turbines abnormal running period according to the theoretical power of described Wind turbines:
P = &Sigma; i = 1 n p i
Wherein, p ifor the theoretical power of a certain moment Wind turbines; N is the number of units of wind energy turbine set inner blower; P is the theoretical power of this moment wind energy turbine set.
Compared with prior art, the present invention has following beneficial effect:
1, method provided by the invention is without the need to setting up anemometer tower, significantly can reduce the O&M cost of wind energy turbine set, also can avoid, due to the error apart from long, parameter or the improper introducing of method choice in Flow Field Calculation process, improving computational accuracy.
2, method provided by the invention calculates and refine to separate unit blower fan, is not only conducive to improving computational accuracy, and is convenient to arrange numerical procedure flexibly according to halt mode, and the source accurately distinguishing electric quantity loss is that the reason such as wind or fan trouble is abandoned in scheduling.
3, two kinds of wind speed powertrace method for building up provided by the invention, can select according to actual needs.Based on wind speed, power data in wind speed power fitting process, adopt piecewise function matching to obtain the mathematic(al) representation of powertrace, accurate description can be carried out to the relation of whole district's section wind speed and power, the error brought due to interpolation or mean value computation can not be produced.Powertrace table method is without the need to solving mathematical function, comparatively easy, and in practical application, be applicable to the situation that data volume is comparatively large, quality is better, coverage rate is more complete, wind speed interval is less, and powertrace table and the power computation precision of formation are higher.
4, the theoretical power that method provided by the invention obtains can refine to separate unit blower fan, not only can be used for the electric quantity loss assessing wind energy turbine set, can also become more meticulous and distinguish electric quantity loss source (wind, fan trouble are abandoned in scheduling), thus be electrical network and wind energy turbine set is clear, the accurate evaluation electric quantity loss amount that reason causes separately provides science foundation.
5, the theoretical power that obtains of method provided by the invention is because precision is higher, be fine to unit, super short-period wind power prediction, short-term wind-electricity power prediction on-line amending, short-term wind-electricity power prediction off-line modeling can also be used for as input quantity, and other scientific research relevant to Power Output for Wind Power Field, be conducive to the level of scientific management of raising wind energy turbine set, efficiency of operation and economic benefit.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of the inventive method;
Fig. 2 is Wind turbines nacelle wind speed powertrace schematic diagram in the present embodiment.
Embodiment
Below in conjunction with accompanying drawing, the specific embodiment of the present invention is described in further detail.
As shown in Figure 1, Fig. 1 is the process flow diagram of the inventive method; The invention provides a kind of wind energy turbine set theoretical power appraisal procedure based on nacelle wind speed powertrace, the method comprises the following steps:
Step one, determine that Wind turbines normally ran in the period, the measurement data of the nacelle wind speed meter of described Wind turbines and the real output of described Wind turbines;
Step 2, determine that Wind turbines normally runs the measurement data of described nacelle wind speed meter in the period and the wind speed powertrace of described real output;
Step 3, determine the theoretical power of described Wind turbines in the Wind turbines abnormal running period;
Step 4, determine the theoretical power of described wind energy turbine set in the described Wind turbines abnormal running period.
In step 2, determine that Wind turbines normally runs the measurement data of described nacelle wind speed meter in the period and the wind speed powertrace of described real output provides two kinds of methods.
1., method one: powertrace fitting process
Specifically comprise the following steps: S101, by following formula determination Wind turbines output power and described Wind turbines leeward wind speed energy conversion relation:
p = 1 2 C p &rho;&pi; R 2 v 3
Wherein, p is the output power of wind wheel, C pfor power coefficient, ρ is atmospheric density, and R is wind wheel radius, and v is wind speed;
The measuring wind of S102, nacelle wind speed meter is blower fan windward wind speed, need revise wind speed energy conversion relation, by following formula to the correction of described wind speed energy conversion relation:
p = 1 2 s C p &rho;&pi; R 2 v s 3
Wherein, s is nacelle wind speed correction factor, v sfor nacelle wind speed meter measuring wind;
S103, determine that Wind turbines normally runs the wind speed powertrace of described nacelle wind speed in the period and described real output, as shown in the formula:
0 0 &le; v s < v in 1 2 s C p &rho;&pi; R 2 v s 3 v in &le; v s < v rated p rated v rated &le; v s < v out 0 v out &le; v s
Wherein, p is the output power of wind wheel, C pfor power coefficient, ρ is atmospheric density, and R is wind wheel radius, and s is nacelle wind speed correction factor, v sfor nacelle wind speed meter measuring wind, v infor incision wind speed, v ratedfor wind rating, v outfor cut-out wind speed, p ratedfor output rating.
Use said method, obtain Wind turbines nacelle wind speed powertrace schematic diagram in the present embodiment as shown in Figure 2.
2., powertrace table method
The nacelle wind speed data of acquisition are divided into some intervals, calculate the mean value of corresponding performance number in each nacelle wind speed interval, as the performance number corresponding with nacelle wind speed.During theoretical power calculates, adopt method of interpolation can obtain performance number corresponding to each nacelle wind speed.Wind speed interval is spaced apart 0.5-1m/s and is advisable, and generally starts from incision wind speed, terminates in cut-out wind speed.The method is without the need to solving mathematical function, comparatively easy; In practical application, data volume is larger, coverage rate is more complete, wind speed interval is less, and powertrace table and the power computation precision of formation are higher.
In the present embodiment, obtain nacelle wind speed as shown in table 1 below and power correspondence table.In form, air speed data is divided into some intervals, add up the average of corresponding power data in each wind speed interval, wind speed interval is spaced apart 0.5m/s.
Wind speed (m/s) Power (kW)
3.5 46.07
4.0 91.24
4.5 148.31
5.0 214.23
8.5 1149.43
9.0 1344.64
9.5 1500
10.0 1500
10.5 1500
24.5 1500
25.0 1500
Table 1
In step 3, normally run the relation of described nacelle wind speed in the period and described real output according to the cabin data of Wind turbines and described Wind turbines, what calculate this period Wind turbines should have output power, i.e. the theoretical power of Wind turbines.
Due to Wind turbines wake effect, when Wind turbines normally runs, the measured value of vane rotary to nacelle wind speed meter has certain influence, and does not have this impact during fan parking.Thus, the mapping relations normally running period foundation based on Wind turbines are applied to the abnormal running period, also need to revise mapping relations.
Due to the difference such as installation site, cabin shape of nacelle wind speed meter, the corrected parameter of different model blower fan is not identical yet, needs to calculate based on measured data.
The method of above-mentioned correction can adopt as by the method for closing on anemometer tower and solve a wind speed relation curve.The method comprises the following steps:
1., suppose to be provided with anemometer tower near blower fan, test nacelle wind speed and the anemometer tower wind speed of correspondence thereof when blower fan is started shooting and when shutting down, according to each wind speed point recorded, with anemometer tower wind speed for x-axis, take nacelle wind speed as y-axis, draw scatter diagram respectively;
2., the wind speed relation scatter diagram that will draw, simulate a curve, obtain the relation curve y of anemometer tower wind speed and nacelle wind speed under open state respectively 1, the relation curve y of anemometer tower wind speed and nacelle wind speed under stopped status 2, can acquisition be sayed according to above-mentioned curve, the nacelle wind speed y ' under the switch on condition that anemometer tower same wind speed x is corresponding 1with the nacelle wind speed y ' under stopped status 2;
3., by y ' 2be modified to y ' 1as the air speed value of nacelle wind speed meter.
In step 4, in wind energy turbine set, a certain moment is if any Wind turbines abnormal running, and the theoretical power of whole Wind turbines in cumulative wind energy turbine set, what obtain this moment wind energy turbine set should have output power, i.e. wind energy turbine set theoretical power.
Be shown below, press the theoretical power of described wind energy turbine set in the following formula determination Wind turbines abnormal running period according to the theoretical power of described Wind turbines:
P = &Sigma; i = 1 n p i
Wherein, p ifor the theoretical power of a certain moment Wind turbines; N is the number of units of wind energy turbine set inner blower; P is the theoretical power of this moment wind energy turbine set.
Finally should be noted that: above embodiment is only for illustration of the technical scheme of the application but not the restriction to its protection domain; although with reference to above-described embodiment to present application has been detailed description; those of ordinary skill in the field are to be understood that: those skilled in the art still can carry out all changes, amendment or equivalent replacement to the embodiment of application after reading the application; but these change, revise or be equal to replacement, all applying within the claims awaited the reply.

Claims (6)

1., based on a wind energy turbine set theoretical power appraisal procedure for nacelle wind speed powertrace, it is characterized in that: said method comprising the steps of:
I, determine that Wind turbines normally runs the measurement data of the nacelle wind speed meter of described Wind turbines in the period and the real output of described Wind turbines;
II, determine that Wind turbines normally runs the wind speed powertrace of described measurement data in the period and described real output;
III, determine the theoretical power of described Wind turbines in the Wind turbines abnormal running period;
IV, determine the theoretical power of described wind energy turbine set in the described Wind turbines abnormal running period.
2. wind energy turbine set theoretical power appraisal procedure as claimed in claim 1, it is characterized in that: in described Step II, use piecewise function fitting process to set up wind speed powertrace that the Wind turbines be shown below normally runs described measurement data in the period and described real output:
p = 0 0 &le; v s < v in 1 2 s C p &rho;&pi; R 2 v s 3 v in &le; v s < v rated p rated v rated &le; v s < v out 0 v out &le; v s
In formula, p is the output power of wind wheel, C pfor power coefficient, ρ is atmospheric density, and R is wind wheel radius, and s is nacelle wind speed correction factor, v sfor nacelle wind speed meter measuring wind, v infor incision wind speed, v ratedfor wind rating, v outfor cut-out wind speed, p ratedfor output rating.
3. wind energy turbine set theoretical power appraisal procedure as claimed in claim 1, is characterized in that: in described Step II, uses powertrace table method to set up described wind speed powertrace;
Described powertrace table method comprises: the nacelle wind speed data of acquisition are divided into some intervals, calculates the mean value of corresponding performance number in each nacelle wind speed interval, as the performance number corresponding with wind speed.
4. wind energy turbine set theoretical power appraisal procedure as claimed in claim 1, it is characterized in that: in described Step II I, the Wind turbines abnormal running period, revise the mapping relations that described Wind turbines normally runs described nacelle wind speed in the period and described real output.
5. wind energy turbine set theoretical power appraisal procedure as claimed in claim 4, it is characterized in that: in described Step II I, in the Wind turbines abnormal running period, according to measurement data and the revised described mapping relations of the nacelle wind speed meter of Wind turbines, calculate the theoretical power of described Wind turbines.
6. wind energy turbine set theoretical power appraisal procedure as claimed in claim 1, is characterized in that: in described step IV, presses the theoretical power of described wind energy turbine set in the following formula determination Wind turbines abnormal running period according to the theoretical power of described Wind turbines:
P = &Sigma; i = 1 n p i
Wherein, p ifor the theoretical power of a certain moment Wind turbines; N is the number of units of wind energy turbine set inner blower; P is the theoretical power of this moment wind energy turbine set.
CN201410519886.0A 2014-09-30 2014-09-30 Engine room wind speed and power curve based method for evaluating theoretical power of wind farm Pending CN105022909A (en)

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Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105512820A (en) * 2015-12-11 2016-04-20 樊莉 Wind power plant wind energy resource monitoring and unit running state evaluation method
CN106779202A (en) * 2016-12-08 2017-05-31 贵州电网有限责任公司电力科学研究院 A kind of wind power forecasting method for considering air humidity
WO2017092297A1 (en) * 2015-12-02 2017-06-08 中国电力科学研究院 Method for evaluating power characteristics of wind turbines, apparatus and storage medium
CN108734367A (en) * 2017-04-25 2018-11-02 中国电力科学研究院 It is a kind of to be used to calculate the method and system that wind power plant abandons wind-powered electricity generation amount
CN109087033A (en) * 2018-09-28 2018-12-25 龙源(北京)风电工程技术有限公司 A kind of comprehensive field power consumption rate calculating analysis system of wind power plant
CN109409783A (en) * 2018-11-23 2019-03-01 华北电力科学研究院有限责任公司 Determine method, apparatus, equipment and the storage medium of Wind turbines limit power data
CN109980683A (en) * 2019-03-22 2019-07-05 中国电建集团青海省电力设计院有限公司 A kind of uncertain prediction technique of wind power
CN110348654A (en) * 2018-04-04 2019-10-18 北京金风科创风电设备有限公司 Wind generating set evaluation and operation data correction method, device and terminal
CN112267972A (en) * 2020-10-22 2021-01-26 华能国际电力股份有限公司 Intelligent judgment method for abnormity of power curve of wind turbine generator
CN112861301A (en) * 2019-11-27 2021-05-28 北京国电思达科技有限公司 Wind power plant theoretical power intelligent calculation method based on real-time data of fans

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102588210A (en) * 2011-12-21 2012-07-18 中能电力科技开发有限公司 Filtering method for preprocessing fitting data of power curve
EP2706229A1 (en) * 2012-09-04 2014-03-12 Penta Systems S.r.l. Turbine and control system of the over-power of said turbine

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102588210A (en) * 2011-12-21 2012-07-18 中能电力科技开发有限公司 Filtering method for preprocessing fitting data of power curve
EP2706229A1 (en) * 2012-09-04 2014-03-12 Penta Systems S.r.l. Turbine and control system of the over-power of said turbine

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
姜文玲 等: "《基于机舱风速数据的风电场弃风电量计算方法研究》", 《电网技术》 *
李俊芳 等: "《基于灰色模型的风速-风电功率预测研究》", 《电力系统保护与控制》 *
潘宁: "《基于激光雷达测风仪的风电机组功率曲线测试方法》", 《节能技术》 *

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017092297A1 (en) * 2015-12-02 2017-06-08 中国电力科学研究院 Method for evaluating power characteristics of wind turbines, apparatus and storage medium
CN106815456A (en) * 2015-12-02 2017-06-09 中国电力科学研究院 A kind of Wind turbines power characteristic evaluation method
CN105512820A (en) * 2015-12-11 2016-04-20 樊莉 Wind power plant wind energy resource monitoring and unit running state evaluation method
CN106779202A (en) * 2016-12-08 2017-05-31 贵州电网有限责任公司电力科学研究院 A kind of wind power forecasting method for considering air humidity
CN108734367A (en) * 2017-04-25 2018-11-02 中国电力科学研究院 It is a kind of to be used to calculate the method and system that wind power plant abandons wind-powered electricity generation amount
CN110348654A (en) * 2018-04-04 2019-10-18 北京金风科创风电设备有限公司 Wind generating set evaluation and operation data correction method, device and terminal
CN109087033A (en) * 2018-09-28 2018-12-25 龙源(北京)风电工程技术有限公司 A kind of comprehensive field power consumption rate calculating analysis system of wind power plant
CN109409783A (en) * 2018-11-23 2019-03-01 华北电力科学研究院有限责任公司 Determine method, apparatus, equipment and the storage medium of Wind turbines limit power data
CN109980683A (en) * 2019-03-22 2019-07-05 中国电建集团青海省电力设计院有限公司 A kind of uncertain prediction technique of wind power
CN112861301A (en) * 2019-11-27 2021-05-28 北京国电思达科技有限公司 Wind power plant theoretical power intelligent calculation method based on real-time data of fans
CN112267972A (en) * 2020-10-22 2021-01-26 华能国际电力股份有限公司 Intelligent judgment method for abnormity of power curve of wind turbine generator
CN112267972B (en) * 2020-10-22 2023-05-05 华能国际电力股份有限公司 Intelligent judging method for abnormal power curve of wind turbine generator

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