CN111369390B - Application method and system of twin power curve model of wind generating set - Google Patents
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Abstract
The invention discloses an application method and system of a twin power curve model of a wind generating set, which comprises the following steps: acquiring a measured power curve, curve parameters and curve characteristics of the wind generating set; constructing a twin power curve model of the wind generating set, wherein the twin power curve model comprises twin curve parameters corresponding to the curve parameters and twin curve characteristics corresponding to the curve characteristics; fitting a twin power curve represented by a function according to the measured power curve; the twin power curve is used instead of the measured power curve for power calculation and engineering applications. The invention advances the calculation method of the theoretical power of the wind generating set in the practical engineering application from an interpolation method to a function method, and lays a brand new foundation for the application of high-efficiency computer programming, big data analysis and artificial intelligence technology. Meanwhile, performance difference among the wind driven generator groups can be intuitively reflected through comparison of twin rated wind speeds of the wind driven generator groups of different models.
Description
Technical Field
The invention relates to the technical field of engineering, in particular to a method for establishing a twin power curve model of a wind generating set, fitting a twin power curve and applying the twin power curve.
Background
The traditional power curve of the wind generating set is represented by a limited point set corresponding to the measured wind speed and power, namely the power curve is measured, and the curve comprises characteristic values such as cut-in wind speed, rated wind speed, cut-out wind speed and rated power. The measured power curve has the following characteristics: when the wind speed is less than or equal to the cut-in wind speed, the power is zero; when the wind speed is greater than or equal to the rated wind speed, the power is the rated power; when the wind speed is more than or equal to the cut-out wind speed, the power is zero; when the wind speed is between the cut-in wind speed and the rated wind speed, the relation between the wind speed and the power is a curve connected by partial line segments. This curve has the following major drawbacks and disadvantages:
1. because the relation between the wind speed and the power is a curve connected by partial line segments when the wind speed is between the cut-in wind speed and the rated wind speed, an interpolation method is adopted when the theoretical power is calculated, and the calculated amount is large.
2. Computer code written using interpolation is not efficient to execute.
3. The deviation between the rated wind speed of the measured power curve and the rated wind speed of the designed power curve is sometimes large, and the rated wind speed of the measured power curve cannot reflect the performance difference of the power curve.
Disclosure of Invention
The invention provides a twin power curve model of a wind generating set represented by a function, an engineering application method and a system for fitting the twin power curve by using the model and replacing a measured power curve by using the twin power curve, which solve the problems that in the prior art, when wind speed is between cut-in wind speed and rated wind speed, the relation between the wind speed and the power is a curve connected by partial line segments, an interpolation method is adopted when theoretical power is calculated, and the calculated amount is large. Computer code written using interpolation is not efficient to execute. The deviation between the rated wind speed of the measured power curve and the rated wind speed of the designed power curve is sometimes large, and the performance difference of the power curve cannot be reflected by the rated wind speed of the measured power curve.
The technical scheme of the invention is realized as follows:
an application method of a twin power curve model of a wind generating set comprises the following steps:
and 4, replacing the measured power curve with the twin power curve to perform power calculation and engineering application.
As a preferred embodiment of the present invention, the curve parameters include cut-in wind speed, rated wind speed, cut-out wind speed, rated power; the curve is characterized in that when the wind speed is less than or equal to the cut-in wind speed, the power is zero; when the wind speed is greater than or equal to the rated wind speed, the power is the rated power; when the wind speed is more than or equal to the cut-out wind speed, the power is zero; when the wind speed is between the cut-in wind speed and the rated wind speed, the relation between the wind speed and the power is a curve connected by partial line segments.
As a preferred embodiment of the present invention, the data of each fixed point of the measured power curve is obtained by table lookup; and carrying out interpolation calculation on the data of the non-fixed point according to the slope of each line segment.
As a preferred embodiment of the present invention, the twin curve parameters include a twin cut-in wind speed, a twin rated wind speed, a twin cut-out wind speed, a twin rated power; the twin curve is characterized in that when the wind speed is less than or equal to the twin cut-in wind speed, the power is zero; when the wind speed is greater than or equal to the twin rated wind speed, the power is rated power; when the wind speed is greater than or equal to the twin cut-out wind speed, the power is zero; when the wind speed is between the twin cut-in wind speed and the twin rated wind speed, the relation between the wind speed and the power is a quadratic curve; the formula for calculating the quadratic curve is:
P＝aV2+bV+c；
wherein: p: power, V: wind speed, a: second order coefficient, b: first order coefficient, c: a constant.
As a preferred embodiment of the present invention, step 3 specifically includes the following steps:
s31: selecting a suitable wind speed frequency curve;
s32: determining a specific value of the power generation amount deviation;
s33: determining the maximum deviation value of the power of each line segment vertex of the measured power curve and the power on the corresponding twin power curve under the condition of wind speed of each line segment vertex of the measured power curve;
s34: according to the formula P ═ aV2+ bV + c, adjusting the values of a, b and c to perform twin power curve fitting until P meets the requirement that the power on the twin power curve and the power of the top point of each line segment of the corresponding measured power curve are smaller than the corresponding maximum power deviation value, and preliminarily determining the values of a, b and c;
s35: preliminarily determining a twin power curve, judging whether the generated energy deviation calculated by using the twin power curve and the measured power curve is smaller than a generated energy deviation specific value or not under the condition of the wind speed frequency, and if not, returning to S33; if so, the final twin power curve is determined.
As a preferred embodiment of the present invention, in step S33, the maximum power deviation values of all the vertices are determined to be a uniform value, or the maximum power deviation values are determined for each vertex.
As a preferred embodiment of the present invention, the fitting method in step 3 is a mathematical model calculation method, a computer machine learning method or a computer artificial intelligence.
As a preferred embodiment of the invention, the engineering application comprises but is not limited to wind turbine design and manufacture, form authentication, quality supervision, SCADA wind speed correction, wind power plant power prediction, wind power plant model selection, wind turbine operation state division, wind turbine energy utilization efficiency index calculation and a wind turbine calibration platform based on the industrial Internet.
An application system of a twin power curve model of a wind generating set comprises
The measurement power curve model unit is used for acquiring a measurement power curve, curve parameters and curve characteristics of the wind generating set;
the twin power curve model unit is used for constructing a twin power curve model of the wind generating set, and the twin power curve model comprises twin curve parameters corresponding to the curve parameters and twin curve characteristics corresponding to the curve characteristics; fitting a twin power curve represented by a function by using a measured power curve according to a twin power curve model of the wind generating set;
and the computing and applying unit is used for performing power computing and engineering application by using the twin power curve instead of the measurement power curve.
The invention has the beneficial effects that:
compared with the power curve of the traditional wind generating set, the twin power curve of the wind generating set promotes the calculation method of the theoretical power of the wind generating set in the practical engineering application from an interpolation method to a function method, opens the function era of the power calculation of the wind generating set, is a major technical span of the wind power industry, and lays a brand-new foundation for the application of efficient computer programming, big data analysis and artificial intelligence technology. Meanwhile, performance difference among the wind driven generator groups can be intuitively reflected through comparison of twin rated wind speeds of the wind driven generator groups of different models.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of an application method of a twin power curve model of a wind turbine generator system according to the present invention;
FIG. 2 is a graph comparing a measured power curve with a twin power curve.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in the figures 1 and 2, the invention provides a twin power curve concept of the wind generating set, a twin power curve corresponding to a measured power curve is fitted by establishing a twin power curve model, the curve part connected with the line segment of the measured power curve is replaced by a quadratic curve of the twin power curve, and characteristic values such as a twin cut-in wind speed, a twin rated wind speed, a twin cut-out wind speed and a twin rated power are determined. The twin power curve overcomes the 3 disadvantages and shortcomings of the previously described measured power curve.
The invention provides new concepts and nouns such as twin power curves, and the main relevant nouns are explained as follows:
measuring a power curve: the curve reflecting the correlation between wind speed and power, which is obtained by calculation according to actual measurement data and consists of a plurality of fixed point connecting line segments, is characterized in that the data between any two fixed points is represented by a straight line between two points (the measurement power curve of a certain wind turbine generator is drawn in figure 2, and 15 fixed points in the curve are marked out by the curve). Data of each fixed point of the measured power curve is obtained by table lookup; the data of the non-fixed point is interpolated (interpolation) based on the slope of each line segment.
Twin power curve model: the specified twin power curve is composed of a straight line (OA), a quadratic curve (AB) and a straight line (BC). Wherein: o is the origin of the coordinate system; the point A is the intersection point of the quadratic curve and the abscissa and is the twin cut-in wind speed; the point B is the intersection point of a quadratic curve and a straight line (EC), and the points E and F are the projections of the point B on the ordinate and the abscissa, and are the twin rated power and the twin rated wind speed respectively; the projection G of the point C on the abscissa is the twin-out wind speed, and the projection of the point C on the ordinate is also E. When the wind speed is higher than the twin-out wind speed, the power is zero and is represented by a segment GH, and the segment is not in the description range of the twin power curve model. This unique graphical representation is the key protection scope of the present invention.
Twin power curve: a curve which can replace a measured power curve and is drawn according to the twin power curve model of the wind generating set consists of two straight lines and a quadratic curve. When the wind speed is less than the cut-in wind speed and greater than zero, the wind speed is a straight line with the power equal to zero; when the wind speed is greater than the rated wind speed and less than the cut-out wind speed, the wind speed is a straight line with rated power such as power; and when the wind speed is greater than the cut-in wind speed and less than the rated wind speed, forming a quadratic curve. The twin power curve is used for replacing the measured power curve, so that the calculation efficiency of theoretical power can be greatly improved in practical engineering application, and the computer programming logic is simplified. (FIG. 2 is a graph showing a twin power curve that can be substituted for a measured power curve of a wind turbine generator)
Twin cut-in wind speed: corresponding to the cut-in wind speed of the measured power curve, it can be calculated from the formula of the quadratic curve part of the twin power curve, or using a value approximately equal to the cut-in wind speed of the measured power curve.
Twin rated wind speed: corresponding to the rated wind speed of the measured power curve, the wind speed is calculated by a formula of the secondary curve part of the twin power curve and is approximately equal to or less than the rated wind speed of the measured power curve.
Twin cut-out wind speed: corresponding to the cut-out wind speed of the measured power curve, is equal to the cut-out wind speed of the measured power curve.
Twin rated power: corresponding to the rated power of the measured power curve, the measured power curve is obtained by calculation according to a formula in the secondary curve part of the twin power curve and is equal to the rated power of the measured power curve.
Wind speed frequency curve: a curve describing the frequency of occurrence of each wind speed value over a period of time.
As shown in fig. 1, the invention provides an application method of a twin power curve model of a wind turbine generator system, comprising the following steps:
the twin curve parameters comprise a twin cut-in wind speed, a twin rated wind speed, a twin cut-out wind speed and a twin rated power; the twin curve is characterized in that when the wind speed is less than or equal to the twin cut-in wind speed, the power is zero; when the wind speed is greater than or equal to the twin rated wind speed, the power is rated power; when the wind speed is greater than or equal to the twin cut-out wind speed, the power is zero; when the wind speed is between the twin cut-in wind speed and the twin rated wind speed, the relation between the wind speed and the power is a quadratic curve; wherein: the twin cut-in wind speed is approximately equal to the cut-in wind speed, the twin rated wind speed is approximately equal to or less than the rated wind speed, the twin cut-out wind speed is approximately equal to the cut-out wind speed, and the twin rated power is equal to the rated power.
The formula for calculating the quadratic curve is:
P＝aV2+bV+c；
wherein: p: power, V: wind speed, a: second order coefficient, b: first order coefficient, c: a constant.
s31: selecting a suitable wind speed frequency curve;
s32: determining a specific value of the power generation amount deviation; the specific value may be set to 0.1%, 1%, 5%, or any other value that meets the actual engineering needs).
S33: determining the maximum deviation value of the power of each line segment vertex of the measured power curve and the power on the corresponding twin power curve under the condition of wind speed of each line segment vertex of the measured power curve; and determining the power maximum deviation values of all the vertexes as a uniform value, or determining the power maximum deviation values of all the vertexes respectively.
S34: according to the formula P ═ aV2+ bV + c, adjusting the values of a, b and c to perform twin power curve fitting until P meets the requirement that the power on the twin power curve and the power of the top point of each line segment of the corresponding measured power curve are smaller than the corresponding maximum power deviation value, and preliminarily determining the values of a, b and c;
s35: preliminarily determining a twin power curve, judging whether the generated energy deviation calculated by using the twin power curve and the measured power curve is smaller than a generated energy deviation specific value or not under the condition of the wind speed frequency, and if not, returning to S33; if so, the final twin power curve is determined.
And 4, replacing the measured power curve with the twin power curve to perform power calculation and engineering application.
The invention also provides an application system of the twin power curve model of the wind generating set, which comprises
The measurement power curve model unit is used for acquiring a measurement power curve, curve parameters and curve characteristics of the wind generating set;
the twin power curve model unit is used for constructing a twin power curve model of the wind generating set, and the twin power curve model comprises twin curve parameters corresponding to the curve parameters and twin curve characteristics corresponding to the curve characteristics; fitting a twin power curve represented by a function by using a measured power curve according to a twin power curve model of the wind generating set;
and the computing and applying unit is used for performing power computing and engineering application by using the twin power curve instead of the measurement power curve.
The engineering application comprises but is not limited to engineering applications including but not limited to wind turbine design and manufacture, form authentication, quality supervision, SCADA wind speed correction, wind power plant power prediction, wind power plant unit type selection, wind turbine unit operation state division, wind turbine unit energy utilization efficiency index calculation and a wind turbine unit benchmarking platform based on the industrial internet.
The invention has the beneficial effects that:
compared with the power curve of the traditional wind generating set, the twin power curve of the wind generating set promotes the calculation method of the theoretical power of the wind generating set in the practical engineering application from an interpolation method to a function method, opens the function era of the power calculation of the wind generating set, is a major technical span of the wind power industry, and lays a brand-new foundation for the application of efficient computer programming, big data analysis and artificial intelligence technology. Meanwhile, performance difference among the wind driven generator groups can be intuitively reflected through comparison of twin rated wind speeds of the wind driven generator groups of different models.
The present invention is not limited to the above preferred embodiments, and any modifications, equivalent substitutions, improvements, etc. within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. An application method of a twin power curve model of a wind generating set is characterized by comprising the following steps:
step 1, obtaining a measured power curve, curve parameters and curve characteristics of a wind generating set;
step 2, constructing a twin power curve model of the wind generating set, wherein the twin power curve model comprises twin curve parameters corresponding to the curve parameters and twin curve characteristics corresponding to the curve characteristics;
step 3, fitting a twin power curve represented by a unitary quadratic function by using a measured power curve according to a twin power curve model of the wind generating set; the step 3 comprises the following specific steps:
s31: selecting a suitable wind speed frequency curve;
s32: determining a specific value of the power generation amount deviation;
s33: determining the maximum deviation value of the power of each line segment vertex of the measured power curve and the power on the corresponding twin power curve under the condition of wind speed of each line segment vertex of the measured power curve;
s34: according to the formula P ═ aV2+ bV + c, wherein: p: power, V:wind speed, a: second order coefficient, b: first order coefficient, c: a constant; adjusting the values of a, b and c to perform twin power curve fitting until P meets the requirement that the power on the twin power curve and the power of the top point of each line segment of the corresponding measured power curve are smaller than the corresponding maximum power deviation value, and preliminarily determining the values of a, b and c;
s35: preliminarily determining a twin power curve, judging whether the generated energy deviation calculated by using the twin power curve and the measured power curve is smaller than a generated energy deviation specific value or not under the condition of the wind speed frequency, and if not, returning to S33; if yes, determining as a final twin power curve;
and 4, replacing the measured power curve with the twin power curve to perform power calculation and engineering application.
2. The application method of the twin power curve model of the wind generating set according to claim 1, wherein the curve parameters comprise cut-in wind speed, rated wind speed, cut-out wind speed, rated power; the curve is characterized in that when the wind speed is less than or equal to the cut-in wind speed, the power is zero; when the wind speed is greater than or equal to the rated wind speed, the power is the rated power; when the wind speed is more than or equal to the cut-out wind speed, the power is zero; when the wind speed is between the cut-in wind speed and the rated wind speed, the relation between the wind speed and the power is a curve connected by partial line segments.
3. The application method of the twin power curve model of the wind generating set according to claim 2, wherein the data of each fixed point of the measured power curve is obtained by table lookup; and carrying out interpolation calculation on the data of the non-fixed point according to the slope of each line segment.
4. The method for applying the twin power curve model of the wind generating set according to claim 2, wherein the twin curve parameters comprise a twin cut-in wind speed, a twin rated wind speed, a twin cut-out wind speed, a twin rated power; the twin curve is characterized in that when the wind speed is less than or equal to the twin cut-in wind speed, the power is zero; when the wind speed is greater than or equal to the twin rated wind speed, the power is rated power; when the wind speed is greater than or equal to the twin cut-out wind speed, the power is zero; when the wind speed is between the twin cut-in wind speed and the twin rated wind speed, the relation between the wind speed and the power is a quadratic curve; the formula for calculating the quadratic curve is:
P＝aV2+bV+c。
5. the method for applying the twin power curve model of the wind generating set according to claim 1, wherein in step S33, the maximum power deviation value of all the vertices is determined as a uniform value, or the maximum power deviation value is determined for each vertex.
6. The application method of the twin power curve model of the wind generating set according to claim 1, wherein the fitting method in the step 3 is a mathematical model calculation method, a computer machine learning method or a computer artificial intelligence.
7. The application method of the twin power curve model of the wind generating set according to any one of claims 1-6, wherein engineering applications include but are not limited to wind generating set design and manufacture, form certification, quality supervision, SCADA wind speed correction, wind power plant power prediction, wind power plant set model selection, wind generating set operation state division, wind generating set energy utilization efficiency index calculation and wind generating set benchmarking platform based on industrial internet.
8. An application system of a twin power curve model of a wind generating set is characterized by comprising
The measurement power curve model unit is used for acquiring a measurement power curve, curve parameters and curve characteristics of the wind generating set;
the twin power curve model unit is used for constructing a twin power curve model of the wind generating set, and the twin power curve model comprises twin curve parameters corresponding to the curve parameters and twin curve characteristics corresponding to the curve characteristics; fitting a twin power curve represented by a unitary quadratic function by using a measured power curve according to a twin power curve model of the wind generating set; the method comprises the following specific steps:
s31: selecting a suitable wind speed frequency curve;
s32: determining a specific value of the power generation amount deviation;
s33: determining the maximum deviation value of the power of each line segment vertex of the measured power curve and the power on the corresponding twin power curve under the condition of wind speed of each line segment vertex of the measured power curve;
s34: according to the formula P ═ aV2+ bV + c, adjusting the values of a, b and c to perform twin power curve fitting until P meets the requirement that the power on the twin power curve and the power of the top point of each line segment of the corresponding measured power curve are smaller than the corresponding maximum power deviation value, and preliminarily determining the values of a, b and c;
s35: preliminarily determining a twin power curve, judging whether the generated energy deviation calculated by using the twin power curve and the measured power curve is smaller than a generated energy deviation specific value or not under the condition of the wind speed frequency, and if not, returning to S33; if yes, determining as a final twin power curve;
and the computing and applying unit is used for performing power computing and engineering application by using the twin power curve instead of the measurement power curve.
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| CN112765544B (en) * | 2020-12-30 | 2023-09-15 | 国网湖南省电力有限公司 | Method for correcting and forecasting strong wind power under influence of typhoon of power transmission line |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104915747A (en) * | 2015-02-03 | 2015-09-16 | 远景能源（江苏）有限公司 | Electricity generation performance evaluation method of generator set and equipment thereof |
| CN103244348B (en) * | 2012-02-08 | 2016-05-04 | 北京能高自动化技术股份有限公司 | Speed-changing oar-changing power curves of wind-driven generator sets optimization method |
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| US7523001B2 (en) * | 2006-09-28 | 2009-04-21 | General Electric Company | Method and apparatus for operating wind turbine generators |
| CN103244354B (en) * | 2012-02-08 | 2015-02-18 | 北京能高自动化技术股份有限公司 | Power curve self-adapting optimizing method for wind generating sets |
| CN104700151A (en) * | 2014-05-26 | 2015-06-10 | 国网辽宁省电力有限公司 | Wind power assessment method based on cubic spline interpolation curve-fitting |
| CN105160060B (en) * | 2015-07-17 | 2019-02-05 | 中国电力科学研究院 | A kind of wind power plant theoretical power (horse-power) based on actual power curve matching determines method |
| US10774807B2 (en) * | 2018-08-05 | 2020-09-15 | George Pul | Omni multi axes-vertical axis wind turbine (M-VAWT) |
| CN109002650A (en) * | 2018-08-21 | 2018-12-14 | 同济大学 | A kind of Wind turbines power curve modeling method |
| CN109345113B (en) * | 2018-09-29 | 2021-03-02 | 北京拾易技术有限公司 | Wind turbine performance evaluation method and medium |
| CN109667727B (en) * | 2018-11-18 | 2020-01-10 | 浙江大学 | Wind turbine generator yaw error inherent deviation identification and compensation method based on power curve analysis |
| CN109779848B (en) * | 2019-01-25 | 2020-04-28 | 国电联合动力技术有限公司 | Method and device for obtaining full-field wind speed correction function and wind power plant |
-
2020
- 2020-03-30 CN CN202010239604.7A patent/CN111369390B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103244348B (en) * | 2012-02-08 | 2016-05-04 | 北京能高自动化技术股份有限公司 | Speed-changing oar-changing power curves of wind-driven generator sets optimization method |
| CN104915747A (en) * | 2015-02-03 | 2015-09-16 | 远景能源（江苏）有限公司 | Electricity generation performance evaluation method of generator set and equipment thereof |
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