CN112283033A - Unit yaw wind-aligning deviation correction method based on field operation data - Google Patents
Unit yaw wind-aligning deviation correction method based on field operation data Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 12
- 238000012937 correction Methods 0.000 title claims description 4
- 230000003068 static effect Effects 0.000 claims abstract description 21
- 238000012546 transfer Methods 0.000 claims abstract description 6
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 3
- 238000010977 unit operation Methods 0.000 claims description 2
- 238000004220 aggregation Methods 0.000 claims 1
- 230000002776 aggregation Effects 0.000 claims 1
- 230000005611 electricity Effects 0.000 abstract 1
- 238000009434 installation Methods 0.000 description 5
- 238000004364 calculation method Methods 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 238000007621 cluster analysis Methods 0.000 description 1
- 238000007418 data mining Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 230000035484 reaction time Effects 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
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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
- F03D7/02—Controlling wind motors the wind motors having rotation axis substantially parallel to the air flow entering the rotor
- F03D7/0204—Controlling wind motors the wind motors having rotation axis substantially parallel to the air flow entering the rotor for orientation in relation to wind direction
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
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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
- F05B2260/00—Function
- F05B2260/84—Modelling or simulation
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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
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Abstract
The invention discloses a method for correcting yaw wind deviation of a wind turbine generator based on existing on-site operation data. The invention constructs a transfer function of the wind energy power capture of the unit based on the yaw static error, and obtains the yaw static error of the unit by analyzing and calculating the field operation data by adopting a power density algorithm, thereby correcting the error. According to the invention, extra data acquisition equipment is not required, and the full-time hours of the unit are improved and the electricity consumption cost is reduced by correcting the yaw static error of the unit.
Description
Technical Field
The invention relates to a unit yaw wind error correction method based on field operation data, which is characterized in that a yaw static error of a unit is obtained by analyzing the power density of the field operation data based on a transfer function between a unit wind angle and unit power, so that the installation of a wind vane is corrected, the generating efficiency of the unit is improved, and direct economic benefit is brought to a wind farm owner.
Background
The wind generating set almost has the windward deviation problem of different degrees in operation stage, because there are installation error and position offset phenomenon in installation, operation process in the wind vane of wind generating set, causes wind vane zero position and unit axis nonparallel, and then causes the loss of wind generating set generated energy. At present, the main means for solving the problem is to complete zero calibration of the wind vane by measuring means such as laser radar and the like, but the method has long period and high cost. By using the existing operation data and the data mining method, the wind vane zero offset calculation can be realized, the generating capacity of a unit can be improved, and the cost can be saved.
Disclosure of Invention
Wind vane measurement during operation of a wind turbineTo an angle ofθ 2The difference angle between the wind vane installation axis and the engine room transmission chain axis caused by the wind vane installation, operation and other reasons isθ 1Balance ofθ 1Is the static error of the wind vane, so the actual included angle between the axis of the cabin and the wind direction isθ 3(θ 3 = θ 1 + θ 2)。
After the wind is aligned by the yaw system of the unit, the wind is aligned under the ideal conditionθ 2 Corrected to 0 degree, and the actual included angle between the engine room and the wind direction isθ 1The static error cannot be corrected by the main control of the unit by adopting a real-time yaw control method, because the unit cannot obtain the static angle error value.
According to the wind energy capturing principle of the wind turbine generator, the wind static error of the theoretical computer group with the maximum output of the wind turbine generator in the wind optimal state is calculated.
Setting the natural wind power asP 1The power of wind energy captured by the unit isP 2The unit efficiency isC pThen:
P 2=P 1×C p×Cos2(θ 1+θ 2) (1)
wherein the content of the first and second substances,according to the design and type test results, the wind speed is in a certain wind speedC pIs known to be certain. According to the formula (1), whenθ 1+θ 2When the value is not less than 0, the reaction time is not less than 0,P 2the maximum value is taken.
According to the theory, the unit monitoring system can acquire the wind speed V and the included angleθ 2Power, powerP 2,P 1It is possible to use the wind speed equivalent calculation,θ 1as an unknown quantity, within a specified wind speed range,θ 1and capture of wind energyP 2The relationship is shown in figure 2 below.
Compared with the prior art, the invention has unique advantages.
1. The invention provides a method for correcting the yaw wind error of a unit based on existing on-site operating data, and no data acquisition equipment is added.
2. The invention constructs a direct transfer function between the wind energy capture power of the unit and the wind error angle of the unit.
3. The accuracy of correcting the wind error is improved by adopting a power density algorithm.
Description of the drawings.
FIG. 1 is a graph of wind direction mapping quantity angle versus aggregate yaw static error.
FIG. 2 is a graph of a unit yaw static error versus a unit captured wind power.
FIG. 3 is a flow chart of a method for correcting a crew yaw to wind offset based on field operational data.
Detailed description of the preferred embodiments.
The embodiments of the present invention are described below by way of specific examples.
S1: and reading unit operation data from the wind power plant SCADA system.
S2: and preprocessing the operation data, and establishing a power density model based on the wind error of the unit and the wind energy absorbed by the unit in different wind speed intervals.
S3: and fitting a power density curve based on the power density model, and calculating a curve boundary cluster group.
S4: and based on cluster analysis, minimizing the boundary cluster group of the power density curve to obtain the yaw-to-wind static error of the unit.
S4: and correcting the yaw static error of the unit according to the calculation result.
Claims (4)
1. A wind turbine generator yaw static deviation correction method based on existing on-site operation data is characterized in that a generator wind energy power capture transfer function based on yaw static errors is constructed, a relation function between static yaw errors and generator power is mined by utilizing on-site operation data, the generator yaw static errors are calculated, and then the yaw wind errors are corrected.
2. The field operation data according to claim 1, wherein the field operation data is the existing unit operation data of the field SCADA system, and no additional data acquisition equipment is required.
3. The method for constructing a wind power capture transfer function for a wind turbine generator based on yaw static error as claimed in claim 1, wherein during operation of the wind turbine generator, the natural wind power isP 1The power of wind energy captured by the unit isP 2The angle measured by the vane isθ 2The static yaw error of the unit isθ 1And constructing a wind energy power capture transfer function of the unit based on the yaw static error as follows:P 2=P 1×C p×Cos2(θ 1+θ 2)。
4. the power density algorithm of claim 1, wherein the unit operating data is partitioned by taking the wind speed as a coordinate to obtain the unit power density distribution under the guidance of the yaw static error, a plurality of functional relations between the wind speed and the power are fitted, the extreme value of the function is solved, finally, the trend of the extreme values is calculated in an aggregation manner, and the unit yaw static error is finally analyzed.
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CN202011233899.3A CN112283033A (en) | 2020-11-06 | 2020-11-06 | Unit yaw wind-aligning deviation correction method based on field operation data |
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CN202011233899.3A CN112283033A (en) | 2020-11-06 | 2020-11-06 | Unit yaw wind-aligning deviation correction method based on field operation data |
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112966395A (en) * | 2021-03-31 | 2021-06-15 | 华能国际电力股份有限公司 | Method for calculating static error of wind turbine generator yaw system |
CN115825894A (en) * | 2022-11-17 | 2023-03-21 | 中国能源建设集团广东省电力设计研究院有限公司 | Method and device for determining wind energy capture position, terminal equipment and medium |
-
2020
- 2020-11-06 CN CN202011233899.3A patent/CN112283033A/en active Pending
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112966395A (en) * | 2021-03-31 | 2021-06-15 | 华能国际电力股份有限公司 | Method for calculating static error of wind turbine generator yaw system |
CN112966395B (en) * | 2021-03-31 | 2023-09-19 | 华能国际电力股份有限公司 | Method for calculating static error of yaw system of wind turbine generator |
CN115825894A (en) * | 2022-11-17 | 2023-03-21 | 中国能源建设集团广东省电力设计研究院有限公司 | Method and device for determining wind energy capture position, terminal equipment and medium |
CN115825894B (en) * | 2022-11-17 | 2023-08-18 | 中国能源建设集团广东省电力设计研究院有限公司 | Method, device, terminal equipment and medium for determining wind energy capturing position |
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Application publication date: 20210129 |