CN113279904B - Pitch angle optimizing method and device for maximum power tracking of wind turbine generator - Google Patents
Pitch angle optimizing method and device for maximum power tracking of wind turbine generator Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D7/00—Controlling wind motors
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D9/00—Adaptations of wind motors for special use; Combinations of wind motors with apparatus driven thereby; Wind motors specially adapted for installation in particular locations
- F03D9/20—Wind motors characterised by the driven apparatus
- F03D9/25—Wind motors characterised by the driven apparatus the apparatus being an electrical generator
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2270/00—Control
- F05B2270/30—Control parameters, e.g. input parameters
- F05B2270/32—Wind speeds
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2270/00—Control
- F05B2270/30—Control parameters, e.g. input parameters
- F05B2270/328—Blade pitch angle
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/72—Wind turbines with rotation axis in wind direction
Abstract
The invention discloses a pitch angle optimizing method and device for maximum power tracking of a wind turbine generator, which comprises the following steps: acquiring an error interval tolerance of a theoretical optimal value of a pitch angle of a wind turbine blade in a rated power tracking control stage, and dividing the error interval tolerance into a plurality of error sub-intervals; acquiring a plurality of power curves corresponding to the error subintervals one by one; acquiring active power of the wind turbine generator corresponding to the wind speed value in an ideal power curve of the wind turbine generator, and calculating the mean square error of the power curve corresponding to the wind speed value by taking the active power as a mean value; and acquiring a pitch angle corresponding to the minimum mean square error, and adjusting the blades of the wind turbine generator according to the pitch angle. The method comprises the steps of dividing a blade pitch angle deviation interval, obtaining active power detection values corresponding to a plurality of wind speed values of the pitch angles in different intervals, fitting a power curve, calculating a mean square error with a theoretical power curve, and finding out an optimal pitch angle corresponding to the minimum mean square error so as to modify the pitch angle of the blade.
Description
Technical Field
The invention relates to the technical field of wind power equipment control, in particular to a pitch angle optimizing method and device for maximum power tracking of a wind turbine generator.
Background
In recent years, the wind power industry has entered the bidding era. With the price descending of the wind turbine generator and the reduction of the average wind speed of the wind turbine generator, the increasing cost pressure makes the upstream and downstream of the industry chain not enter the contraction state, the "optimal power cost" becomes the core index for measuring the economic benefit of the wind field, and the technology upgrading also continuously pushes the industry to develop towards the more mature direction. In order to reduce the optimal power cost, customers put higher requirements on the power generation efficiency and the operation reliability of the wind turbine generator. On one hand, the power generation efficiency and reliability can be improved by optimizing the component design of the wind turbine generator and the customized design of the wind farm; on the other hand, the wind turbine generator can sense environmental characteristics and difference factors through a deep excavation wind turbine generator control technology, and meanwhile, the wind turbine generator has self-adaption and self-optimization functions and is an effective means for improving the generating efficiency and reliability of the wind turbine generator. The blades are used as the most important parts of the fan, the blades are used for capturing and absorbing wind energy and converting the wind energy into mechanical energy to be transmitted to a transmission device, and in order to enable the blades to absorb the maximum wind energy below rated wind speed, the wind energy utilization coefficient is improved, and the blades are enabled to operate at the optimal pitch angle position as far as possible.
In a wind power generation system, a pitch control function of blades automatically adjusts the pitch angle of the blades and adjusts the output power of a unit as the wind speed and the output power of the unit change. When the unit is designed, in order to ensure that the output power of the unit is optimal, an optimal wind energy utilization coefficient curve (CP curve) is usually obtained through simulation, and the unit automatically adjusts the pitch angle when the wind speed changes, so that the wind energy utilization coefficient of the unit in the operation process conforms to the design of the CP curve. In a simulation state, the ideal blade opening angle of the blade may be 0 degrees, but the actual blade has a deviation of about 0-0.5 degrees when the zero calibration is carried out, besides blade design errors and complexity of a field actual operation environment, in the operation process of the unit, if the blade is opened to 0 degrees according to a simulation design result, the blade may have a deviation of about 0-1 degrees with an actual optimal pitch angle, and before the unit reaches a rated power, the deviation can cause wind energy absorption loss and finally bring the unit power generation loss.
In order to enable the blade to operate at the optimal pitch angle, the blade pitch angle is usually calibrated in a zero calibration mode during power-on debugging, and the conventional blade pitch angle zero calibration method can only realize the zero calibration of the pitch angle, so that the influences caused by the complexity of the actual operation condition on site and the design and production errors of the blade cannot be avoided. The existing blade pitch angle identification is usually used for manually adjusting the angle of the pitch angle, the deviation between the ideal pitch angle and the actually set optimal pitch angle is calibrated by observing and comparing the change of the generated energy of a unit through long-time operation, and because the difference of the field operation environment can generate larger misleading effect on the result, the method cannot be used in a large scale and can not accurately calibrate the pitch angle deviation.
Disclosure of Invention
The invention aims to provide a pitch angle optimizing method and device for maximum power tracking of a wind turbine generator.
In order to solve the above technical problem, a first aspect of an embodiment of the present invention provides a pitch angle optimization method for tracking a maximum power of a wind turbine, including the following steps:
acquiring an error interval tolerance of a theoretical optimal value of a pitch angle of a wind turbine blade in a rated power tracking control stage, and dividing the error interval tolerance into a plurality of error sub-intervals;
acquiring a plurality of power curves corresponding to the error subintervals one by one, wherein each power curve changes along with the change of the wind speed value;
acquiring the active power of the wind turbine generator corresponding to the wind speed value in an ideal power curve of the wind turbine generator, and calculating the mean square error of the power curve corresponding to the wind speed value by taking the active power of the wind turbine generator as a mean value;
and acquiring the pitch angle corresponding to the minimum mean square error value, and adjusting the wind turbine generator blades according to the pitch angle.
Further, before the obtaining the active power of the wind turbine corresponding to the wind speed value in the ideal power curve of the wind turbine and taking the active power as a mean value, the method further includes:
acquiring a theoretical optimal pitch angle of the wind turbine generator blade according to the optimal curve of the wind energy utilization coefficient;
and calculating a theoretical power curve of the wind turbine generator according to the theoretical optimal pitch angle.
Further, the obtaining a plurality of power curves corresponding to the plurality of error subintervals one-to-one includes:
acquiring a plurality of pitch angles which are in one-to-one correspondence with the plurality of error sub-intervals;
aiming at each pitch angle, adjusting a wind speed value according to a preset wind speed interval, and acquiring a plurality of active power detection values corresponding to a plurality of wind speed values;
and obtaining the power curves corresponding to the pitch angles one by one according to the active power detection values.
Further, the calculating a mean square error of the power curve corresponding to the wind speed value includes:
calculating the mean square error of the active power detection value corresponding to the plurality of wind speed values;
and calculating the mean square error of the power curve according to the mean square error of the active power detection value, wherein the power curve corresponds to the wind speed value.
Further, the dividing the error interval tolerance into a number of error sub-intervals comprises:
equally dividing the error interval tolerance into a plurality of error sub-intervals, wherein the error tolerance of each error sub-interval is the same.
Accordingly, a second aspect of the embodiments of the present invention provides a pitch angle optimizing device for tracking maximum power of a wind turbine, including: the system comprises a first acquisition module, a second acquisition module and a control module, wherein the first acquisition module is used for acquiring the error interval tolerance of the theoretical optimal value of the pitch angle of the wind turbine blade in the rated power tracking control stage and dividing the error interval tolerance into a plurality of error sub-intervals;
the second acquisition module is used for acquiring a plurality of power curves which are in one-to-one correspondence with the error subintervals, wherein each power curve changes along with the change of the wind speed value;
the third obtaining module is used for obtaining the active power of the wind turbine generator corresponding to the wind speed value in an ideal power curve of the wind turbine generator, and calculating the mean square error of the power curve corresponding to the wind speed value by taking the active power of the wind turbine generator as a mean value;
and the control module is used for acquiring the pitch angle corresponding to the minimum mean square error value and adjusting the actual pitch angle of the wind turbine generator blades according to the pitch angle.
Further, the blade pitch angle control device in the wind turbine generator rated power tracking control stage further includes: a calculation module;
the calculation module comprises: a first acquisition unit and a first calculation unit;
the first obtaining unit is used for obtaining the theoretical optimal pitch angle of the wind turbine generator blades according to the optimal curve of the wind energy utilization coefficient;
the first calculating unit is used for calculating a theoretical power curve of the wind turbine generator according to the theoretical optimal pitch angle.
Further, the second obtaining module includes:
a second obtaining unit, configured to obtain a plurality of pitch angles that correspond to the plurality of error sub-intervals one to one;
a third obtaining unit, configured to adjust a wind speed value according to a preset wind speed interval for each pitch angle, and obtain a plurality of active power detection values corresponding to a plurality of wind speed values;
and the second calculating unit is used for obtaining the power curves corresponding to the pitch angles one by one according to the active power detection values.
Further, the third obtaining module includes:
a third calculating unit, configured to calculate a mean square error of the active power detection value corresponding to the plurality of wind speed values;
and the fourth calculation unit is used for calculating the mean square error of the power curve according to the mean square error of the active power detection value, wherein the power curve corresponds to the wind speed value.
Further, the first obtaining module is configured to obtain the error interval tolerance of the theoretical optimal value of the pitch angle of the wind turbine blade, and equally divide the error interval tolerance into the plurality of error sub-intervals, where the error tolerance of each error sub-interval is the same.
Accordingly, a third aspect of the embodiments of the present invention further provides an electronic device, including: at least one processor; and a memory coupled to the at least one processor; wherein the memory stores instructions executable by the one processor to cause the at least one processor to perform the pitch angle optimization method for wind turbine maximum power tracking described above.
In addition, a fourth aspect of the embodiments of the present invention further provides a computer-readable storage medium, on which computer instructions are stored, and when the computer instructions are executed by a processor, the pitch angle optimizing method for tracking the maximum power of the wind turbine generator set is implemented.
The technical scheme of the embodiment of the invention has the following beneficial technical effects:
the pitch angle deviation interval of the wind turbine generator blade is divided, active power detection values corresponding to a plurality of wind speed values of different interval pitch angles are obtained, a power curve is fitted, mean square error calculation is carried out on the power curve and a theoretical power curve, an optimal pitch angle corresponding to the minimum mean square error is found, and then the pitch angle of the blade is corrected according to the optimal pitch angle.
Drawings
FIG. 1 is a flow chart of a pitch angle optimizing method for tracking maximum power of a wind turbine generator according to an embodiment of the present invention;
FIG. 2 is a schematic logic diagram of a pitch angle optimizing method for tracking maximum power of a wind turbine generator according to an embodiment of the present invention;
FIG. 3 is a wind energy usage graph illustrating pitch angle variation provided by an embodiment of the present invention;
FIG. 4 is a block diagram of a pitch angle optimizing device for tracking the maximum power of a wind turbine generator according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a second obtaining module according to an embodiment of the present invention;
fig. 6 is a schematic diagram of a third obtaining module according to an embodiment of the present invention;
fig. 7 is a schematic diagram of a computing module according to an embodiment of the present invention.
Reference numerals:
1. the device comprises a first acquisition module, a second acquisition module, a 21, a second acquisition unit, a 22, a third acquisition unit, a 23, a second calculation unit, a 3, a third acquisition module, a 31, a third calculation unit, a 32, a fourth calculation unit, a 4, a control module, a 5, a calculation module, a 51, a first acquisition unit, a 52 and a first calculation unit.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings in conjunction with the following detailed description. It should be understood that the description is intended to be exemplary only, and is not intended to limit the scope of the present invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
Fig. 1 is a flowchart of a pitch angle optimizing method for tracking maximum power of a wind turbine generator according to an embodiment of the present invention.
Fig. 2 is a schematic logic diagram of a pitch angle optimizing method for tracking maximum power of a wind turbine generator according to an embodiment of the present invention.
FIG. 3 is a wind energy usage graph illustrating pitch angle variation provided by an embodiment of the present invention.
Referring to fig. 1, fig. 2 and fig. 3, a first aspect of an embodiment of the present invention provides a pitch angle optimizing method for maximum power tracking of a wind turbine, including the following steps:
s200, obtaining the error interval tolerance of the theoretical optimal value of the pitch angle of the wind turbine blade in the rated power tracking control stage, and dividing the error interval tolerance into a plurality of error sub-intervals.
Preferably, the error interval tolerance is divided into a plurality of error sub-intervals, including: the error interval tolerance is equally divided into a number of error sub-intervals, wherein each error sub-interval has the same error tolerance.
Setting a pitch angle error interval tolerance [ -alpha, + alpha ] caused by blade design error and blade zero-correction deviation in the blade running process near a theoretical optimal pitch angle beta, defining that the actual optimal pitch angle is in an interval of [ -alpha + beta (alpha + beta) ], and dividing the interval tolerance into N equal parts by taking pitch angle mechanical identification precision as an interval in the interval tolerance:
the method comprises the steps of constructing an initial pitch angle deviation interval, dividing N intervals of the pitch angle with the minimum identification precision, and enabling the pitch angle to run in different intervals so as to obtain active power detection values of wind speed values of the wind turbine generator in different intervals.
S400, a plurality of power curves corresponding to the error subintervals one by one are obtained, wherein each power curve changes along with the change of the wind speed value.
Specifically, in step S400, obtaining a plurality of power curves corresponding to a plurality of error sub-intervals one to one may further include:
s410, acquiring a plurality of pitch angles which are in one-to-one correspondence with a plurality of error sub-intervals.
S420, aiming at each pitch angle, adjusting the wind speed value according to a preset wind speed interval, and acquiring a plurality of active power detection values corresponding to a plurality of wind speed values.
S430, obtaining power curves corresponding to the pitch angles one by one according to the active power detection values.
According to the rated power tracking control characteristic of the wind turbine generator, when the wind speed is higher than the cut-in wind speed and lower than the rated wind speed and the output power is lower than the rated power, the wind turbine generator selectively operates in variable speed control under the condition of the safety margin of the wind turbine generator, and the pitch angle is opened to the theoretically optimal pitch angle, so that the maximum wind energy absorption is guaranteed. By utilizing the characteristic, the pitch angle of the wind turbine generator is switched to a specified angle within the tolerance range of the hardware of the blade according to the division interval, a steady-state operation environment recognition system is constructed, and the wind turbine generator is enabled to collect M active power of each wind speed point with the cut-in wind speed below the rated wind speed as a starting point, the rated wind speed as a terminal point and the interval of 0.5M/s under the pitch angle in the operation environment with a single influence factor, so that scattered point data statistics of a power curve under each pitch angle is obtained.
S600, obtaining the active power of the wind turbine generator corresponding to the wind speed value in the ideal power curve of the wind turbine generator, taking the active power as a mean value, and calculating the mean square error of the power curve corresponding to the wind speed value.
In the above step, calculating a mean square error of the power curve corresponding to the wind speed value may further include:
s610, calculating the mean square error of the active power detection values corresponding to the plurality of wind speed values.
And S620, calculating the mean square error of a power curve according to the mean square error of the active power detection value, wherein the power curve corresponds to the wind speed value.
Calculating the mean square error of the active power at each wind speed point by taking the power value corresponding to the wind speed point of the ideal power curve as a mean value, accumulating and calculating to obtain the mean square error of the whole power curve at the rated wind speed approximately, wherein the mean square error formula is as follows:
wherein MSE is mean square error (mean squared error), M is the number of active power collected at a single wind speed point, and XiFor the active power of the wind speed point, xiAnd the power value corresponding to the wind speed point of the ideal power curve is obtained.
And S800, obtaining a pitch angle corresponding to the minimum mean square error value, and adjusting the blades of the wind turbine generator according to the pitch angle.
Respectively calculating the mean square error values between the active power of the running wind turbine generator set and the theoretical power curve under different pitch angles, comparing the mean square errors calculated under each pitch angle interval point, finding out the minimum value of the mean square errors by using a sorting method, wherein the smaller the mean square error is, the closest the generator set and the theoretical power curve is, the pitch angle corresponding to the minimum mean square error is the optimal pitch angle under the mechanical identification precision of the pitch angle, and then carrying out deviation correction or compensation on the pitch angle of the generator set.
The method comprises the steps of collecting power values of all wind speed points of the wind turbine generator in a rated power tracking control stage, fitting a power curve, performing minimum mean square error calculation through the fitted power curve and a theoretical power curve, finding out a pitch angle corresponding to the fitted power curve represented by the minimum mean square error, and performing deviation correction or compensation on the pitch angle of the wind turbine generator.
According to the technical scheme, the pitch angle deviation intervals of the blades of the wind turbine generator are divided, active power detection values corresponding to a plurality of wind speed values of the pitch angles in different intervals are obtained, a power curve is fitted, mean square error calculation is carried out on the power curve and a theoretical power curve, the optimal pitch angle corresponding to the minimum mean square error is found out, and then the pitch angle of the blades is corrected according to the optimal pitch angle.
Further, in step S600, before obtaining the active power of the wind turbine corresponding to the wind speed value in the ideal power curve of the wind turbine and taking the active power as a mean value, the method further includes:
and S510, acquiring the theoretical optimal pitch angle of the wind turbine generator blade according to the optimal curve of the wind energy utilization coefficient.
And S520, calculating a theoretical power curve of the wind turbine generator according to the theoretical optimal pitch angle.
Specifically, a pitch angle corresponding to an optimal wind energy utilization coefficient curve of the wind turbine generator set is obtained and used as a theoretical optimal pitch angle β, an optimal power curve is calculated, and a power expression captured by the wind turbine generator set is as follows:
P＝(ρCpSv3)/2,
in the formula: p is the power absorbed by the blade; ρ is the air density; cPThe wind energy utilization coefficient; s is the wind sweeping area of the blade; v is the wind speed.
The control method further comprises the following steps in the stage of tracking and controlling the rated power of the wind turbine generator: and constructing a steady-state operation environment recognition system and establishing an operation environment with a single influence factor. The method comprises the steps of initially acquiring and calibrating the operating environment of a fan by constructing a steady-state operating environment recognition system, carrying out interval limiting processing on main factors influencing the operating power of a unit, such as the unlimited power state of the unit, the included angle between the wind direction and an engine room, the turbulence intensity, the operating environment temperature, the real-time temperature of each component of the unit, the air density and the like, and further recording unit operating data in the interval.
By constructing a steady-state operation environment recognition system, the operation data of the fan has a single influence factor, and the statistical result is more accurate.
In addition, the running condition of the wind turbine generator under the current pitch angle is obtained at intervals, a fitted power curve is obtained, whether the difference between the fitted power curve and a theoretical power curve is too large is judged, if yes, the optimal pitch angle is determined, and a new round of correction compensation is carried out. The technical scheme has an intelligent tracking self-identification technology, can perform large-scale and automatic tracking identification, and performs self-calibration correction according to the change of the environment.
Fig. 4 is a block diagram of a pitch angle optimizing device for tracking the maximum power of a wind turbine generator according to an embodiment of the present invention.
Accordingly, referring to fig. 4, a second aspect of the embodiment of the present invention provides a pitch angle optimizing device for tracking the maximum power of a wind turbine, including: the device comprises a first acquisition module 1, a second acquisition module 2, a third acquisition module 3 and a control module 4. The first obtaining module 1 is used for obtaining an error interval tolerance of a theoretical optimal value of a pitch angle of a wind turbine blade in a rated power tracking control stage, and dividing the error interval tolerance into a plurality of error sub-intervals. The second obtaining module 2 is configured to obtain a plurality of power curves corresponding to the plurality of error sub-intervals one to one, where each power curve changes with a change in a wind speed value. The third obtaining module 3 is configured to obtain the active power of the wind turbine corresponding to the wind speed value in the ideal power curve of the wind turbine and calculate a mean square error of the power curve corresponding to the wind speed value by using the active power as a mean value. The control module 4 is used for obtaining a pitch angle corresponding to the minimum mean square error value and adjusting the actual pitch angle of the wind turbine generator blades according to the pitch angle.
Fig. 5 is a schematic diagram of a second obtaining module according to an embodiment of the present invention.
Further, referring to fig. 5, the second obtaining module 2 includes: a second acquisition unit 21, a third acquisition unit 22 and a second calculation unit 23. The second obtaining unit is used for obtaining a plurality of pitch angles which are in one-to-one correspondence with the error sub-intervals. The third obtaining unit is used for adjusting the wind speed value according to a preset wind speed interval aiming at each pitch angle, and obtaining a plurality of active power detection values corresponding to a plurality of wind speed values. The second calculating unit is used for obtaining power curves corresponding to the pitch angles one by one according to the plurality of active power detection values.
Fig. 6 is a schematic diagram of a third obtaining module according to an embodiment of the present invention.
Further, referring to fig. 6, the third obtaining module 3 includes: a third calculation unit 31 and a fourth calculation unit 32. And the third calculating unit is used for calculating the mean square error of the active power detection value corresponding to the plurality of wind speed values. And the fourth calculating unit is used for calculating the mean square error of a power curve according to the mean square error of the active power detection value, and the power curve corresponds to the wind speed value.
Further, the first obtaining module is used for obtaining an error interval tolerance of a theoretical optimal value of the pitch angle of the wind turbine blade, and equally dividing the error interval tolerance into a plurality of error sub-intervals, wherein the error tolerance of each error sub-interval is the same.
Fig. 7 is a schematic diagram of a computing module according to an embodiment of the present invention.
Further, referring to fig. 7, the blade pitch angle control device in the wind turbine generator rated power tracking control stage further includes: and a calculation module 5. The calculation module 5 includes: a first acquisition unit 51 and a first calculation unit 52. The first obtaining unit 51 is configured to obtain a theoretical optimal pitch angle of the wind turbine blade according to the optimal wind energy utilization coefficient curve. The first calculating unit 52 is configured to calculate a theoretical power curve of the wind turbine generator according to the theoretical optimal pitch angle.
According to the blade pitch angle control device in the wind turbine generator rated power tracking control stage, the pitch angle deviation intervals of the blades of the wind turbine generator are divided, active power detection values corresponding to a plurality of wind speed values of the pitch angles in different intervals are obtained, a power curve is fitted, mean square error calculation is carried out on the power curve and a theoretical power curve, an optimal pitch angle corresponding to the minimum mean square error is found, and then the pitch angle of the blades is corrected according to the optimal pitch angle.
Accordingly, a third aspect of the embodiments of the present invention further provides an electronic device, including: at least one processor. And a memory coupled to the at least one processor. The storage stores instructions executable by a processor, and the instructions are executed by the processor to enable at least one processor to execute the pitch angle optimizing method for tracking the maximum power of the wind turbine generator.
In addition, a fourth aspect of the embodiments of the present invention further provides a computer-readable storage medium, on which computer instructions are stored, and when the computer instructions are executed by a processor, the pitch angle optimizing method for tracking the maximum power of the wind turbine generator set is implemented.
The embodiment of the invention aims to protect a pitch angle optimizing method and a pitch angle optimizing device for maximum power tracking of a wind turbine generator, wherein the method comprises the following steps: acquiring an error interval tolerance of a theoretical optimal value of a pitch angle of a wind turbine blade in a rated power tracking control stage, and dividing the error interval tolerance into a plurality of error sub-intervals; acquiring a plurality of power curves which are in one-to-one correspondence with a plurality of error subintervals, wherein each power curve changes along with the change of the wind speed value; acquiring active power of the wind turbine generator corresponding to the wind speed value in an ideal power curve of the wind turbine generator, and calculating the mean square error of the power curve corresponding to the wind speed value by taking the active power as a mean value; and acquiring a pitch angle corresponding to the minimum mean square error, and adjusting the blades of the wind turbine generator according to the pitch angle. The following effects are provided:
the pitch angle deviation interval of the wind turbine generator blade is divided, active power detection values corresponding to a plurality of wind speed values of different interval pitch angles are obtained, a power curve is fitted, mean square error calculation is carried out on the power curve and a theoretical power curve, an optimal pitch angle corresponding to the minimum mean square error is found, and then the pitch angle of the blade is corrected according to the optimal pitch angle.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (8)
1. A pitch angle optimizing method for tracking maximum power of a wind turbine generator is characterized by comprising the following steps:
acquiring an error interval tolerance of a theoretical optimal value of a pitch angle of a wind turbine blade in a rated power tracking control stage, and dividing the error interval tolerance into a plurality of error sub-intervals;
the method for obtaining the error interval tolerance of the theoretical optimal value of the pitch angle of the wind turbine generator blade in the rated power tracking control stage comprises the following steps: setting the error interval tolerance of the pitch angle caused by blade design error and blade zero-correction deviation in the blade running process near the theoretical optimal value of the pitch angle;
acquiring a plurality of power curves corresponding to the error subintervals one by one, wherein each power curve changes along with the change of the wind speed value;
the obtaining of the plurality of power curves corresponding to the plurality of error subintervals one-to-one includes: acquiring a plurality of pitch angles which are in one-to-one correspondence with the plurality of error sub-intervals; aiming at each pitch angle, adjusting a wind speed value according to a preset wind speed interval, and acquiring a plurality of active power detection values corresponding to a plurality of wind speed values; obtaining power curves corresponding to the pitch angles one by one according to the active power detection values;
acquiring the active power of the wind turbine generator corresponding to the wind speed value in an ideal power curve of the wind turbine generator, and calculating the mean square error of the power curve corresponding to the wind speed value by taking the active power of the wind turbine generator as a mean value;
the obtaining of the active power of the wind turbine generator corresponding to the wind speed value in the ideal power curve of the wind turbine generator and taking the active power as a mean value includes: fitting a power curve by collecting the power value of each wind speed point of the wind turbine generator in a rated power tracking control stage, and calculating the minimum mean square error through the fitted power curve and a theoretical power curve;
and acquiring the pitch angle corresponding to the minimum mean square error value, and adjusting the wind turbine generator blades according to the pitch angle.
2. A pitch angle optimizing method for maximum power tracking of a wind turbine according to claim 1, wherein before obtaining and averaging the active power of the wind turbine corresponding to the wind speed value in an ideal power curve of the wind turbine, the method further comprises:
acquiring a theoretical optimal pitch angle of the wind turbine generator blade according to the optimal curve of the wind energy utilization coefficient;
and calculating a theoretical power curve of the wind turbine generator according to the theoretical optimal pitch angle.
3. A pitch angle optimization method for maximum power tracking of a wind turbine according to claim 1, wherein said calculating a mean square error of the power curve corresponding to the wind speed value comprises:
calculating the mean square error of the active power detection value corresponding to a plurality of wind speed values;
and calculating the mean square error of the power curve according to the mean square error of the active power detection value, wherein the power curve corresponds to the wind speed value.
4. A pitch angle optimization method for maximum power tracking of a wind turbine according to claim 1, wherein said dividing the error interval tolerance into a number of error sub-intervals comprises:
equally dividing the error interval tolerance into a plurality of error sub-intervals, wherein each error sub-interval has the same error tolerance.
5. A pitch angle optimizing device for tracking maximum power of a wind turbine generator is characterized by comprising:
the system comprises a first acquisition module, a second acquisition module and a control module, wherein the first acquisition module is used for acquiring the error interval tolerance of the theoretical optimal value of the pitch angle of the blade of the wind turbine generator in the rated power tracking control stage, setting the error interval tolerance of the pitch angle caused by blade design error and blade zero calibration deviation in the blade operation process near the theoretical optimal value of the pitch angle, and dividing the error interval tolerance into a plurality of error sub-intervals;
the second acquisition module is used for acquiring a plurality of power curves which are in one-to-one correspondence with the error subintervals, wherein each power curve changes along with the change of the wind speed value;
the second acquisition module comprises:
a second obtaining unit, configured to obtain a plurality of pitch angles that correspond to the plurality of error sub-intervals one to one;
a third obtaining unit, configured to adjust a wind speed value according to a preset wind speed interval for each pitch angle, and obtain a plurality of active power detection values corresponding to a plurality of wind speed values;
a second calculating unit, configured to obtain the power curves corresponding to the pitch angles one by one according to the active power detection values
The third acquisition module is used for acquiring the active power of the wind turbine generator corresponding to the wind speed value in an ideal power curve of the wind turbine generator, fitting a power curve by taking the active power as a mean value and acquiring the power value of each wind speed point of the wind turbine generator in a rated power tracking control stage, and calculating the mean square error of the power curve corresponding to the wind speed value by performing minimum mean square error calculation on the fitted power curve and a theoretical power curve;
and the control module is used for acquiring the pitch angle corresponding to the minimum mean square error value and adjusting the actual pitch angle of the wind turbine generator blade according to the pitch angle.
6. A pitch angle optimizing device for maximum power tracking of a wind turbine according to claim 5, further comprising: a calculation module;
the calculation module comprises: a first acquisition unit and a first calculation unit;
the first obtaining unit is used for obtaining the theoretical optimal pitch angle of the wind turbine generator blades according to the optimal curve of the wind energy utilization coefficient;
the first calculation unit is used for calculating a theoretical power curve of the wind turbine generator according to the theoretical optimal pitch angle.
7. A pitch angle optimizing device for maximum power tracking of a wind turbine according to claim 5, wherein the third obtaining module comprises:
a third calculating unit, configured to calculate a mean square error of the active power detection value corresponding to a number of the wind speed values;
a fourth calculating unit, configured to calculate a mean square error of the power curve according to a mean square error of the active power detection value, where the power curve corresponds to the wind speed value.
8. A pitch angle optimizing device of wind turbine maximum power tracking according to claim 5,
the first obtaining module is used for obtaining the error interval tolerance of the theoretical optimal value of the pitch angle of the wind turbine generator blade, and equally dividing the error interval tolerance into a plurality of error sub-intervals, wherein the error tolerance of each error sub-interval is the same.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103410663A (en) * | 2013-08-12 | 2013-11-27 | 国电联合动力技术有限公司 | Method for identifying optimal pitch angles of fan blades |
| WO2017211367A1 (en) * | 2016-06-07 | 2017-12-14 | Vestas Wind Systems A/S | Adaptive control of a wind turbine by detecting a change in performance |
| CN107781107A (en) * | 2016-08-31 | 2018-03-09 | 新疆金风科技股份有限公司 | The optimal propeller pitch angle adaptive-optimum control method, apparatus of Wind turbines and equipment |
| CN110873022A (en) * | 2018-08-31 | 2020-03-10 | 北京金风科创风电设备有限公司 | Method and device for self-optimizing blade pitch angle of wind generating set |
| CN111927708A (en) * | 2020-08-14 | 2020-11-13 | 国电联合动力技术有限公司 | Pitch angle self-optimizing control method and device |
| CN112308275A (en) * | 2019-07-31 | 2021-02-02 | 北京金风科创风电设备有限公司 | Optimal pitch angle identification method and equipment of wind generating set |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2175129A1 (en) * | 2008-10-10 | 2010-04-14 | Siemens Aktiengesellschaft | Adaptive adjustment of the blade pitch angle of a wind turbine |
-
2021
- 2021-05-24 CN CN202110562232.6A patent/CN113279904B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103410663A (en) * | 2013-08-12 | 2013-11-27 | 国电联合动力技术有限公司 | Method for identifying optimal pitch angles of fan blades |
| WO2017211367A1 (en) * | 2016-06-07 | 2017-12-14 | Vestas Wind Systems A/S | Adaptive control of a wind turbine by detecting a change in performance |
| CN107781107A (en) * | 2016-08-31 | 2018-03-09 | 新疆金风科技股份有限公司 | The optimal propeller pitch angle adaptive-optimum control method, apparatus of Wind turbines and equipment |
| CN110873022A (en) * | 2018-08-31 | 2020-03-10 | 北京金风科创风电设备有限公司 | Method and device for self-optimizing blade pitch angle of wind generating set |
| CN112308275A (en) * | 2019-07-31 | 2021-02-02 | 北京金风科创风电设备有限公司 | Optimal pitch angle identification method and equipment of wind generating set |
| CN111927708A (en) * | 2020-08-14 | 2020-11-13 | 国电联合动力技术有限公司 | Pitch angle self-optimizing control method and device |
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