DK178403B1 - Wind turbine generator yaw correction system and Method for operating WTG yaw correction system - Google Patents
Wind turbine generator yaw correction system and Method for operating WTG yaw correction system Download PDFInfo
- Publication number
- DK178403B1 DK178403B1 DKPA201470455A DKPA201470455A DK178403B1 DK 178403 B1 DK178403 B1 DK 178403B1 DK PA201470455 A DKPA201470455 A DK PA201470455A DK PA201470455 A DKPA201470455 A DK PA201470455A DK 178403 B1 DK178403 B1 DK 178403B1
- Authority
- DK
- Denmark
- Prior art keywords
- wtg
- wind
- input
- atmospheric conditions
- nacelle
- Prior art date
Links
- 238000012937 correction Methods 0.000 title claims abstract description 83
- 238000000034 method Methods 0.000 title claims abstract description 22
- 230000001105 regulatory effect Effects 0.000 claims abstract description 16
- 230000001932 seasonal effect Effects 0.000 claims abstract description 6
- 238000005259 measurement Methods 0.000 claims description 75
- 238000004422 calculation algorithm Methods 0.000 claims description 27
- 230000006870 function Effects 0.000 claims description 14
- 238000012545 processing Methods 0.000 claims description 7
- 238000003860 storage Methods 0.000 claims description 5
- 238000005452 bending Methods 0.000 claims 1
- 238000009530 blood pressure measurement Methods 0.000 abstract description 11
- 238000004519 manufacturing process Methods 0.000 abstract description 11
- 238000009529 body temperature measurement Methods 0.000 abstract description 8
- 238000001514 detection method Methods 0.000 abstract description 3
- 230000001953 sensory effect Effects 0.000 abstract description 2
- 238000004364 calculation method Methods 0.000 description 5
- 238000009434 installation Methods 0.000 description 5
- 230000003993 interaction Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 239000002245 particle Substances 0.000 description 2
- 241001313288 Labia Species 0.000 description 1
- 241001233242 Lontra Species 0.000 description 1
- 230000002411 adverse Effects 0.000 description 1
- 230000003466 anti-cipated effect Effects 0.000 description 1
- 235000015115 caffè latte Nutrition 0.000 description 1
- 238000005094 computer simulation Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 230000007935 neutral effect Effects 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 238000007670 refining Methods 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
- G01S17/88—Lidar systems specially adapted for specific applications
- G01S17/95—Lidar systems specially adapted for specific applications for meteorological use
-
- 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
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/48—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S17/00
- G01S7/497—Means for monitoring or calibrating
- G01S7/4972—Alignment of sensor
-
- 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
- F05B2270/329—Azimuth or yaw angle
-
- 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
- F05B2270/80—Devices generating input signals, e.g. transducers, sensors, cameras or strain gauges
- F05B2270/804—Optical devices
- F05B2270/8042—Lidar systems
-
- 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
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Computer Networks & Wireless Communication (AREA)
- General Physics & Mathematics (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Electromagnetism (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Wind Motors (AREA)
Abstract
Wind turbine generator (WTG) yaw correction system (2) comprising a wind turbine sensor input configured to input sensory input from a WTG (6), a regulator t configured to output regulatory output to a WTG controller (10) which is configured to input and to regulate as a function of atmospheric conditions obtained by sensing of atmospheric conditions, where the WTG yaw correction system (2) is configured - to receive input about atmospheric conditions and nacelle direction, - to store input about atmospheric conditions and nacelle direction, - to process input about atmospheric conditions, and nacelle direction to provide a corrected regulatory output as a function of received and stored input and of yaw misalignment determined temporarily or measured temporarily, and - to output a corrected regulatory output (x) to the WTG controller (10). Hereby is obtained a direction and wind speed data correction system (signal correction box), which together with a nacelle based compass (11) and potentially also for those sites where there are large daily or seasonal variations in temperature and pressure together with air pressure and temperature measurement instrument(s) (9) can be used as a permanently installed tool, or integrated directly into the WTG controller, on existing and future wind turbines with the purpose to optimize the energy production and minimize loads. This WTG yaw correction system may eliminate the need of permanent use of a complex and expensive systems for detection of atmospheric conditions.
Description
Wind turbine generator yaw correction system and Method for operating WTG yaw correction system
Field of the Invention
The present invention relates to a wind turbine generator (WTG) yaw correction system and of the type as indicated in claim 1
The invention also relates to a method for operating WTG yaw correction system or managing system.
Furthermore, the invention relates to a WTG comprising said WTG yaw correction system.
Background of the Invention
To-days standard instruments are located on the nacelle behind the rotor(hub/spinner and blades) and they are effected from different wind flows around the nacelle, turbulences behind the rotor, actual blade pitch adjustment and the actual site condition i.e. operation downstream of another operating wind turbine, downstream of a building or another obstacle, downstream of a patch of trees depending on from which wind sector the wind is coming etc. and they are therefore not able to measure wind direction and wind speed correctly.
Additional to these facts the basic setting of the wind direction measurement equipment and the wind speed measuring equipment is made during the manufacturing process and typically every second year these instruments are exchanged during service using different positioning and yaw alignment methods, well knowing that these methods are not accurate - due to different accepted tolerances during the manufacturing and servicing process.
If the wind direction measurement is not correct, the wind turbine will have yaw misalignment, resulting in excessive loads on the entire turbine. Furthermore the energy production will be influenced in a negative way.
If the wind speed measurement's not correct, then the cut in / cut out / re-cut in wind speed will not be correct, resulting in additional loads on the entire turbine and / or reduced energy production from the wind turbine.
It is therefore highly desirable to be able to verify and potentially adjust the actual individual wind direction and wind speed measurement in each defined wind sector after installation and change of these instruments to obtain the best possible power output and lowest loads to be within the specifications.
Correct measurement of wind direction, wind speed, turbulences and air inflow angle are essential for any wind turbine’s energy production and loads.
Turbulent fluctuations of wind speed and wind inflow angle impact on the fatigue life of key components of a wind turbine. The level of turbulence and the wind inflow angles can be increased or changed under certain conditions, i.e. actual pitch adjustment, operation downstream of another operating wind turbine, downstream of a building or another obstacle, downstream of a patch of trees, downstream of upwind terrain effects as slopes and ridgelines etc.
To-day the impact of this increased turbulence and wind inflow angles will normally be mitigated by having a wind sector management plan which is based on wind measurements on the wind farm sites and “imperfect” computer models and assumptions attempting to predict adverse turbulence loads on the individual wind turbines. Based on these models production output is reduced or wind turbines are shut down at certain wind directions, when the computer calculations conclude such expected conditions where the wind turbulence and wind inflow angle may negatively affect the wind turbine lifetime typical for certain pre-specified combinations of wind direction and wind speed. This measure is called "Wind sector management".
Reducing energy output or shutting down wind turbines obviously lead to a decrease in energy produced by the wind turbine, and there is therefore highly desirable and a need for better technologies for predicting and actually measuring turbulence and/or wind inflow angle conditions hitting the individual wind turbines in each wind sector defining a more optimal wind sector management plan only shutting down wind turbines when turbulence levels and/or wind inflow angle are actually above permissible limits
Since correct measurement of wind direction, wind speed are essential for any wind turbine’s energy production and loads, monitoring the correlation in between the corresponding wind speed and wind direction data signals - when there is two sets of existing sensors could be an important indicator if these instruments are functioning correctly.
Since the existing wind direction and wind speed sensors are located in a very harsh environment, to-day these sensor instruments are typically changed according to a fixed service schedule and therefore it is normally not considered if the actual operational condition of these sensors are expected to be in order or not be in order for the following service interval. In other words by monitoring the operation and drift over time in the correlation in between the corresponding data signals from the two sets of sensors - one will be able to decide when these instruments actually need to be changed.
EP-A2-1793123 discloses a technique for correcting measurement error in data produced by a nacelle-based anemometer and for determining free stream wind speed for a wind turbine involves ascertaining parameters related to the wind turbine and the operation thereof, and using the parameters and data from the nacelle based anemometer as inputs to an algorithm to provide for determination of corrected wind speed data.
Object of the Invention
The purpose of the present invention is to enable higher energy production and lower loads by better positioning of the WTG in the wind and optimizing wind sector management by providing an improved and refined control signal to the WTG controller or by improving and refining signal directly in the controller.
Description of the Invention
According to the present invention there is provided a wind turbine generator (WTG) yaw correction system comprising a wind turbine sensor input configured to input sensory input from a WTG, a regulator configured to output regulatory output to a WTG controller which is configured to input and to regulate as a function of atmospheric conditions obtained by sensing atmospheric conditions, where the WTG correction system is configured - to receive input about atmospheric conditions and nacelle direction, - to store input about atmospheric conditions and nacelle direction, - to process input about atmospheric conditions, and nacelle direction to provide a corrected regulatory output as a function of received and stored input and of yaw misalignment determined temporarily or measured temporarily, and - to output a corrected regulatory output to the WTG controller.
Hereby is achieved a direction and wind speed data correction system (signal correction box), which can be used as a permanently installed tool, or the record correction table / multi-dimensional correction algorithms can be integrated directly into the WTG controller, on existing and future wind turbines with the purpose to optimize the energy production and minimize loads. This WTG yaw correction system may eliminate the need of permanent use of a complex and expensive systems for detection of atmospheric conditions.
In other words there is established a new combined technology which represents a step change in measuring the wind in front of the wind turbine and using this information to calibrate a signal correction box to improve the quality of the existing sensor signal to the existing controller or the correction is done directly in the existing controller.
In other words it hereby becomes possible to make use of recorded table values or multi-dimensional algorithms with correction factors which will be calculated and stored using calibration measurements from a temporarily installed LiDAR mounted on the nacelle, a spinner anemometer mounted on the spinner or any other device which can be used to determine or measuring the actual yaw misalignment, actual wind speed and/or the actual turbulence and/or the actual wind inflow angle in each defined wind sectors and wind bins on or in front of a wind turbine rotor.
Furthermore, the WTG yaw correction system according to the invention may advantageously be such provided, that it comprises a connection to a permanently installed nacelle direction measurement instrument (compass or the like) for precisely measuring the nacelle direction and comparison with measurements related to each of the actual wind sectors and wind bins.
The WTG yaw correction system according to the invention may furthermore be such provided that it comprises for those sites where there are large daily or seasonal variations in temperature and pressure a connection to air pressure and temperature measurement instruments in combination with the nacelle direction measurement instruments (compass or the like) and comparison with measurements related to each of the actual wind sectors and wind bins.
All measurements will be related to the actual wind bins and wind sectors defined by a permanently installed nacelle direction measurement instrument (compass or the like) measuring precisely the nacelle direction.
Appropriately, the WTG yaw correction system according to the invention is such provided, that it comprises at least one memory unit for storing said input about atmospheric conditions and nacelle direction, and at least one processor for processing said input about atmospheric conditions and nacelle direction.
In order to further optimize the function of the WTG yaw correction system according to the invention said system comprises storage means for the storing of collected measure values relating primarily to atmospheric conditions for each wind sector and/or each wind bin to be used as reference table and/or multi-dimensional calibration algorithm for the establishment of a corrected regulatory output to the WTG controller.
All measurements can be related to temperature and air pressure defined by an optional permanently installed nacelle based temperature and air pressure measurement instrument on sites where there are large daily or seasonal variations in temperature and air pressure.
Correction factors can then be implemented in this data correction box application (or alternatively these correction factors can be implemented directly in the WTG controller) for correcting in each defined wind sector and wind bin the actual measured data form existing wind direction and wind speed measurement instruments on a WTG before these data are used by the WTG controller.
The present invention also relates to a method for operating a wind turbine generator yaw correction system with a WTG controller by providing a corrected regulatory input about atmospheric conditions and nacelle direction to the WTG controller.
Appropriately, the method according to the invention comprising further method steps of - receiving input about atmospheric conditions using sensing means during operation, - processing the input about atmospheric conditions and nacelle direction to provide a corrected regulatory output as a function of received input and stored input about atmospheric conditions, and - outputting a corrected regulatory output to the WTG controller.
And the method according to the invention may advantageously comprise a further step of - storing input about atmospheric conditions obtained by using more precise sensing means about atmospheric conditions, than the sensing means used during operation.
By the method according to the invention it may be advantageously that the step of processing said input about atmospheric conditions takes into account said stored input about atmospheric conditions obtained by more precise sensing means.
Furthermore, the present invention relates to a WTG yaw correction system comprising a WTG controller being operationally connected to a permanently installed nacelle based compass, or any other device which can measure correctly nacelle direction (wind sectors), existing wind speed and wind direction measurement instrument (ultra-sonic sensor), and a wind vane, or similar sensor for measuring wind speed and wind direction which instruments are all situated behind the rotor which WTG further comprising a WTG correction system according to any of the claims 1-6.
Description of the Drawing
The invention is described in more detail in the following reference being made to the accompanying drawings and examples, in which:-
Fig.l shows a plane view of a preferred embodiment for the measuring arrangement for the collection and storage in a signal correction box of measurements from the stationary measurement equipment of a WTG as well as measurements collected by means of a temporarily installed LiDAR and RPM sensor,
Fig. 2 shows a plane view illustrating the temporarily collection of correction measurements representing measurements from the complete 360° wind sectors surrounding the WTG,
Fig. 3 shows a plane view illustrating the afterwards situation where a WTG yaw correction system (signal correction box) is interconnected between the permanently installed measure instruments and the WTG controller,
Fig. 4A shows a graphic presentation illustrating the yaw misalignment measurements related to wind speed before the installation of a WTG yaw correction system according to the present invention,
Fig. 4B shows a graphic presentation illustrating the yaw misalignment measurements related to wind speed after the installation of a WTG yaw correction system according to the present invention,
Fig. 5 shows a plane view illustrating the yaw misalignment angle a between the wind direction and the real nacelle direction,
Fig. 6 shows a system overview of a typical application environment for the signal correction box showing major components,
Fig.7 shows a top-level typical hardware implementation view of the signal correc tion box,
Fig. 8 shows a simplified diagram of the signal flow through the signal correction box during normal operation and in fail safe state,
Fig. 9 shows an example of the function for the probability in relation to the wind speed (data measured in lm/s wind speed bins),
Fig. 10A shows a plane view illustrating the actual sloped wind inflow measured by a LiDAR with circular scan pattern and the optimal wind inflow angle, and
Fig. 10B shows a plane view illustrating the actual sloped wind inflow measured by a 4 beam LiDAR with linear scan pattern and the optimal wind inflow angle.
Detailed Description of the Invention and the method
In Fig. 1 is shown an embodiment of a measurement arrangement for the collection and storage of measurements in a WTG yaw correction system 2 (signal correction box), which is permanently installed in the nacelle 4 of a WTG 6, where the signal correction box 2 receive measurement from the existing measurement instruments 8 of the WTG 6.
On top of the nacelle 4 a more precise LiDAR 12 is temporarily installed for the collection of more precise measurements of the wind conditions, in this case at a distance of some 70-80 meters in front of the rotor 17, but any other relevant measuring distance on or in front of the rotor 17 could be used. Said rotor 17 comprises blades 14.
On top of the nacelle 4 a permanently installed nacelle based compass 11 measure the actual nacelle direction (wind sectors).
On top of the nacelle 4 an optional permanently installed nacelle based temperature and pressure measurement instrument 9 is measuring temperature and pressure conditions which are relevant on sites where there are large daily or seasonal variations in temperature and air pressure.
In the nacelle 4 a temporary installed RPM sensor 13 is measuring the RPM of the rotor 17 which are relevant when filtering the collected data.
Fig. 2 serves to illustrate the collection and storage of more precise measurement of wind conditions - wind speed, wind direction, and potentially also turbulences and wind inflow angle in this case said using a nacelle based LiDAR 12 in a distance of some 70-80 meters in front of the rotor 17 - as indicated with an arrow 16 in a 360° radius - these precise measurements are carried out in all wind sectors surrounding the WTG 6.
This collection of wind condition values from all the surrounding wind sectors may be completed through more days or weeks before the necessary measurements from all the surrounding wind sectors and/or wind speed bins are collected and stored in the signal correction box 2.
Special geographic or local conditions can make it impossible to collect measurements from all wind bins and wind sectors surrounding the WTG 6 - however in case of missing wind bins and/or wind sector measurements from specific wind sectors such measurements may be substituted by measured or extrapolated wind condition values.
By the collection of LiDAR generated measurements one may be aware of the general mode of operation of a LiDAR using laser beams to measure reflections from air particles in the atmospheric air in front of the rotor 17.
This means that under certain conditions e.g. heavy fog or rain the LiDAR will not be able to measure any reflections from air particles in front of the rotor 17. However, under such conditions and when any other faulty measurement data is received from the LiDAR, those periods will be excluded in the calculation of the record correction table / multi-dimensional correction algorithms.
Fig. 3 illustrates the afterwards situation where a WTG yaw correction system (signal correction box) 2 is installed in the nacelle 4 of the WTG 6. The signal correction box 2 is interconnected between the permanently (existing) installed main measurement in struments 8 and the WTG controller 10 in such a manner that less precise input mea-urements received from the existing or permanently installed instruments continuously will be corrected by making use of stored table values or algorithms in the signal correction box 2 - before the output is send to the WTG controller 10 this considering the actual wind bin, wind sector measured by the permanently installed compass (or the like) 11 and potentially also temperature and pressure measurement measured by the optional permanently installed nacelle based temperature and air pressure measurement instrument 9 on sites where there are large daily or seasonal variations in temperature and pressure. The existing secondary measurement instrument 8 will still be connected directly to the WTG controller 10, this assuring that any safety system of the WTG is intact.
Fig. 4A illustrates the collected measurements shown as a large number of dots each representing measurements regarding wind speed measured in meters/second (y axes) and yaw misalignment angle in degrees (x axes), the vertical dotted line 18 representing the neutral angle misalignment axes - where the average yaw misalignment value shown by the line 20 is about 7°.
Otherwise in Fig. 4B showing the corrected measurements after the preparation in the signal correction box 2 - where most of the collected measurement after correction are placed close to the vertical line representing the average yaw misalignment angle of about 0°.
Fig. 5 serves to illustrate the misalignment angle a between the wind direction marked by an arrow 22 and the real nacelle direction marked by a dotted line 24.
Fig. 6 shows an embodiment of a system overview of a typical application environment for the signal correction box showing major components thereof where the nacelle 4 and hub/spinner 15 are shown in the left hand side of the figure, while the signal correction box 2 is shown in the right hand side of the figure.
On the nacelle 4 a LiDAR 12 and existing meteorological sensors/instruments 8 is situated. The WTG controller 10 is receiving corrected signals from the signal correction box 2, which also receive signals from the meteorological sensors, the LiDAR 12 and a precision compass 11 (or the like).
Furthermore, the signal correction box 2 can be connected to optional sensors as indicated with a dotted interaction arrow 26. The WTG controller 10 furthermore may be interconnected with a user SC AD A - as indicated by a double interaction arrow 28.
Fig. 7 shows an embodiment of a typical hardware implementation of the signal correction box 2, where the interfaces relating to rpm sensor 13, precision compass 11, LiDAR 12 and optional nacelle based air pressure and temperature measurement instrument 9 are shown in the left hand side of the figure, while in the right hand side of the figure is shown a power supply 30, terminal interface 32 and WAN interface 34.
Fig. 8 shows an embodiment of a simplified diagram of the signal flow through the signal correction box 2.
Before a valid calibration reference table and/or multi-dimensional calibration algorithm is uploaded to the signal correction box 2 (SCB), it is anticipated that the initial state of the SCB 2 should result in a “no compensation performed” result; that is that the data output = data input.
Following the upload of a valid calibration reference table and/or multi-dimensional calibration algorithm to the SCB 2 this function will provide scaling and offset of main wind instrument sensor 8 input data prior to presentation to the main wind instrument sensor 8 output.
To ensure failsafe operation in the event of loss of correct SCB 2 functionality a “hard bypass” should directly forward the meteorological main sensor 8 input to be the meteorological main sensor 8 output (data output = data input). This will be implemented by an electromechanical relay with associated time-out circuitry (shown above in 'fail safe state' elongate arrow 36). During normal operation the signal follows the signal flow arrows 38.
Fig. 9 shows a histogram and Weibull function for the probability in relation to the winds speed (data measured in 1 m/s wind speed bins).
Wind speed bin is the expression for a wind speed interval, typically 0.5-lm/s. Wind speed data are grouped in each of these wind speed intervals (wind speed bins) and based on this relevant statistic's and calculations can then be made for each wind speed bin. This type of statistics and calculations can for example be power perfor mance measurements and Weibull wind speed distributions like in figure below, where variations in wind speed are expected.
The reason why wind speed data are grouped in wind speed bins is that statistically variances are expected which is easier to analyze when data are grouped in those wind speed bins.
Fig. 10A serves to illustrate an example where a sloped wind inflow illustrated by the arrows 41 is in this case measured by a LiDAR with circular scan pattern 39. This should be related to the optimal wind inflow angle 42 to the rotor 17.
Fig. 10B serves to illustrate an example where a sloped wind inflow illustrated by the arrows 41 is in this case measured by a 4-beam LiDAR with linear scan pattern 40. This should be related to the optimal wind inflow angle 42 to the rotor 17.
It should be emphasized that according to a common and well known issue the conse-quence from yaw misalignment is power loss following a cos function and increased loads. In Europe 80 out of 100 random chosen WTGs operate with average yaw misalignment > 2° which were corrected. And 50 of these 100 WTGs operated with average yaw misalignment > 6° and up to 30° leading to large yearly energy production losses and increased loads.
The signal correction box 2, the compass 11 (or the like) and potentially also the nacelle based temperature and pressure measurement instrument 9 is permanently installed on the WTG and calibrated in relevant time intervals which ideally will be synchronized with the change of anemometers and wind vanes.
When enough data is collected, as defined of the WTG owner for each wind bin and wind sector, then based on these collected data a multi-dimensional calibration algorithm will be established - in a service center or directly on the WTG - and transferred back to the permanently installed signal correction box or directly to the WTG controller providing in each defined wind sector and in each defined wind bin the actual yaw misalignment calibration factors and/or the actual turbulence and/or wind inflow angle calibration factors and/or the specific wind speed calibration factors.
In the longer term a local/regional or global surveillance and logistic center will monitor and collect data from the WTG 6 and will be able to transfer the signal correction algorithm to the signal correction box 2 installed in nacelle 4 or directly to the WTG controller 10 from a local/regional or global surveillance and logistic center during calibration and re-calibration. In between calibrations the local/regional or global surveillance and logistic center will monitor the signal correction box 2 in agreed sequence and remotely update software in signal correction box 2 if needed.
The signal correction box 2, the compass 11 and potentially also the nacelle based temperature and pressure measurement instrument 9 is permanently installed on the WTG and calibrated in relevant time intervals providing in each defined wind sector and in each defined wind bin the actual yaw misalignment calibration factors and/or the actual turbulence and/or wind inflow angle calibration factors and/or the specific wind speed calibration factors. This multi-dimensional calibration algorithm, together with the existing sensors signals together with the permanently installed nacelle direction instrument and potentially the permanently installed nacelle temperature and air pressure measurement instrument will be able to correct the “existing main sensor signals” and provide “new corrected main sensor signals” going to the WTG controller 10.
Calibration of the multi-dimensional correction algorithm for the signal correction box 2 using a temporary installation nacelle based LiDAR 12, spinner anemometer or any other device which can be used to determine or measuring the actual yaw misalignment, actual wind speed and potentially also actual turbulence and/or wind inflow angle in each defined wind sector in front of a wind turbine rotor 17.
Temporary installation of data collection and calculation unit collecting and time stamping nacelle direction rotor RPM, all existing wind sensor signals for wind speed and yaw misalignment such as LiDAR signals for wind speed, yaw misalignment, turbulences, wind inflow angle etc. Based on all collected data a multi-dimensional correction algorithm will be established and transferred back to the signal correction box 2.
Calibration reference table and/or muIti-dimensional calibration algorithm for the establishment of a corrected regulatory wind speed output to the WIG controller
Example t:
Bkmmiom considered;
Wind .speed measured by different mtivmwvfå Measured actual nacelle direction by nacelle based compass Input-Time stamped : wirtd .speed measured by g temporarily abmosplaælesensor such as a LipM, a spinner aæræmew ar my mm Imtmm&in ^hldi cast meatus· wind speed an: or Id front of the rater
Wind spsgp measured by the existing wbsd speed messo-nemant instrument camber 1 Wind speed measured fey the exl&rng wind speed measurement instrument nu røber 2 tømmzå mælte direct son try nacelle based compass «carry other Instrument which can measure the nacelle direction correctly Output- Calibration refereecs table and/or multhliiate® alaoal calibration s}g edthm; m fheexisfeg wind speed measurement instrument number I and pofcentfclly atsefor existing wind speed measurement tnstraragnt number 2 (ifsmWiø, them yM be «$t*S)%hed a reference tabte and/or røulti-dlmeustønal calibration afeedthin applicable for each wl nd sector and for each wind bin.
Online use of the Calibration reference table anener maltktlmgnsSeiiai caBferøthrø algorithms !tio rep iatory output to wind turbine coeholler from the listing wind speed measurement Instrument number i end poteotMyelsofrøm existing wind speed measurement instrument number 2 {if easting), will be calculated as a function of:
The actual measured wind speed from the existtag wind speed measurement instrument number 1 and potentially also from existing mind speed measurement imstrumern number3 {If exisfitsgj
The octaei measured wind sector fey tise nacelle based compass
The calibration reference table and/or mufel«dimenslonei calibration algorithm
Calibration reference table and/or mult i-d! mansions I calibration algorithm for the establishment of a corrected regulatory wind direction: output to the WTQ controller
Example 2:
Wjrid direction measured by different iRsfroments speed measured by different fmtrymerds åfeasuied actuai nacelle dirediem iby nacelle based compass Input fflme stamped): sVfnd direction n^sered by a -temporarily atmospheric sensor sad? m a tiD&fi a spinier anemometer er »fty otter instrument whfob can measure ward direction 00 or la frøt of the rotor <8recibn nreasyrte by the esMlog wind directe« measurement instrumesfti nmråmt· l Wind (Mmitm measured by tte ««feting wind direction mg»s«?ement instmment number 2 Wind Si>ned meesured by the gKisflnf wind speed mgsswemsrit instrument: mi rater 1 Wind speed measured by the mhsdftg wind speed mmmmnmré mstmmmt mmh&r 1 iVf ease red nacelle dl mctroa by rsaceile hm&å earøpass or any teter1ostmr«®fti which can treasure tte nacelle direction wreetly Output -· Calitetfon reference table end/or reuld^menslote gahbradon «algorithm;
For ihzminm wind direction measurement instrument number 1 ate potentially also for e«og wind direction measurement imtnmmrn number 2 {% vm«ig!f there m3 be esfaMsted a reference table and/or my«lmer»l»Bakalibratioe algorithm applicable for each wmd sector .sod for.each wind bW Orslin^ us« of foe Caiitetfon refer««» table méjm calibretfon algorithm:
The reptaeory output to wind iwhrm controller from the existing wind direction measurement Instrument member 1 sod potentially also from existing wind direction: measurement; instrument m rater 2 (M exfctegk will te cater latte as a function of:
Ure acteai measured wite direction from tb« ««feting wind direction crseasuremetd instrument rasmter 1 and pstemte iy also from ««feting wind direction measurement instrument aumter 2 [if existing}
The a-ctøai measured wind .sector by the nacelle teed compass
The cslibrattoR reference table and/or rnyfeudimensfersal calibration elgortbm
Example 3: Calibration reference table and/or multidimensional calibration algorithm for the establishment of a corrected regulatory wind speed/Turbulerica antl/or wind inflow angle warning out put to the WTG controller ivWXfiø:ί,,ί ΜϊίϊϊΆ -:-:,-:,,,5--, -v-:- 5-- ίίϊΐΐίί®* 2¾¾¾¾¾:ΐΜΐ>ΡΪΪΆ.
5¾¾¾¾¾¾¾¾ 1·;·«¥*;···.¾¾>„-.· <··*,„S·.:--! 5¾¾ .5¾¾¾¾¾¾¾ :¾¾¾¾ ,-:-,: S,,;-;:-,- ,5-,:-5,- Sc;»,,«.::·-:»! ν';::·:·:;:··:!.)!·;:: i« :>:ri·-:·:;·;·-:··<5¾¾-:.:· >>:">ίί :¾¾¾¾¾¾¾¾^ ! '· .·'···· .·.· '.·· - ' ·· W,i' 5 '' y-V- χ !·,: · -55-- ".·:· .· .·· .· ,---..-:.5:, ν :S; i,,·.-:,.,:,::. 5,:. 5--5-.-: <5 ,ί 5.55·:,-:.;:-;--:, ::5,55,:, fiim-i, lOtetøeai: s " / < y"1 i ' - ’ y 0 ' / < i ' ' i ' //'i (/ ' 5^5555:5: -:555:5555-,5:5 555:555555: 55-55 5,5 5555 :55555::555 ί,-ί ϊί%: Μ5Ϊ5Ι ’ : ......
WiK-ΐί81¾¾¾-¾¾ %'Ά· ^555piag ;^;p5 \ S- i :,5:5 :55 -:.5.5---5:,:: -5-5::-::5- 5--5 -y-; :155- ---,- -5 i-515 -,v5;;5 --,55-5-,-5.5 55:-5-:55-5.:5-5:55:-55'55 (Αϊ.ϊίΚίΤΒίίίίΐ. ίΐί,ίίίξ,ί-ί 55 : 5-5-,--5,:55-555---5.5:5¾:.-55:-5 (5:,:5- - 5,55¾ S;-,>.·,<;·«: i-:555.5,-;: 5-5¾ -:.:--5:5.,::::¾¾¾ η%5-·.5.!5:55 555: :.,:> 5555::5 -,:5:5 b-, ::,5,: :-5.5-55-5:^ ::5-4,5¾. :-5-55,5-:55:55- »--5.5555555.5.
Ρί-s¢5Wt&åis«tø5¾¾¾¾¾ KiiSi^
Viii }, y'. C' Vij'i'At'/·/ 'M'i-.'i'... s ''Λ'./·'· Λ,νά,Ά 555-. S ί 0Λ'/Λνί',·',·„· Λ < ,5 -5: --5-5.55.,-- ^;&,,y ¢-- yj, ' ' t ' , -'Il i - i' r /r Ϊ s, s yyry y / 7(y 5 y(5-(f/7 y-5^ / f <| | 5; y 5 , y- -· ' - .- -* - :' " ' ! · ' 5 - i : - s 5 :5.- ' i - - ., i':':*:· - - -Si: <3 S SvS<'>- 5555-5X55 t-,-,«,:« t:-5 f-55:-:5- iS«S,:)%;5: toj::- .-5555 ::55:5,:5:5:::.5 -5-,-55:.5.:. 555:5555555¾ <Μ;φ^^Ά·ί}ήί:· 5-5¾¾¾¾¾¾¾¾¾¾ 555:55::555:-:- i .-.555.: -5-55:-55-:.5.¾¾ 5-::-:5 ΐί --Vr,--5:5551 5:55-5-:--55^:¾¾¾¾¾¾¾¾¾¾¾ - -' .' ' - .. .-··: 5= i - 5 ':--555 555;-::5555 ::-:-:5555,5:55 5555: 5Λ--:555.| :.^-55:--¾ 5:T:iίγί :55555 i,:,»·,-,··,S? 555:55-5 5:-5,-,,,ί: i:«,:·::·:i,:,,«-«: ,5,-S,,·:-,·, :>:,55-.5>S-,· 5 j,::,-, 5555:-:5 5---:5¾ -::555.5:5:(5. -s?-::::-:; S:!«?:« ,-555--5-55::--5-55-55-55: :555:5:-::5::555-5-:: -:'-.-:*:5:5:--:: 5- 5-545:5:--5::-
Vi5<5 555.i;:.,.i< 55::5-.55.-:55:--::: -55-5·-:;: S--! S ,5 ,5V ·?*:·55 ,,.--5,,:5¾ kiM::, 5 :>SiS,:;v5 • :'-r: -:,::.-:--5.,-.:--:-S’,„i:;-:-: .«i:,,., ?i--’: -5,5.::.-:5-: :55:-:.-:-5 5,./---:-5 555::,,:,-,, ««te,,« ]?ΐ-ί<ΐ 55:5:5«-Si- :5¾¾¾¾¾¾ ¾^¾¾¾¾¾¾.¾^^¾¾ ¾¾.¾ 4½¾.¾¾¾¾¾ ΐ·ύ·ΐ-^ί*ϊί^::5·5: i 5;,-, ,,-:,,.-5,.::,:1: 5:-5, -:,::,-¾ 5-,- S.;,;,·: ,--:5-,:¾ ms-iS-irs«:W:i ίί,,-ίίί,ίίΐί-ίίί·!« -istéiii&é-i: 3 ^-ί5^::^ίί#ίϊΜ".^ί®ίί. SiSsSafSi«*«}:
Example 4:
Warning flag when existing wind speed measurement instruments has to he exchanged.
Dimensions considered;;
Wké speed measured by different exhtihg Instruments Measured actuai naceile direction by nstete based compass: kymt filme stamped)
Wird spesd m^ssoréd by the esdstmf wind speed memwmmt instrument number 1 Wrd speed m^osyred hy C:te existing mné. speed measurement: Instrument numbtr 2
Measured nacelle diréctiPn by nacelle based compass or any other instrument which can measure the nacelle direction correctly Qmpm - Calibration reference labia and/or muStl-dln^rrsbrial calibration algorithm: ter the existing wind speed measurement Instrument number 1 and also tor existing wind speed measurement instrument number 2> there will be established a reference table and/or muid-dimsnsloual calibration algorithm applicable for each wind sector.
Uspisf ite Calibration reference table and/or multidimensional eeli'bratfen algorithm: ibare writ be a warning flagged to «nod turbine controller or to external related to the existing wind -speed mease re m ent instrument u am be r 1 and gfec from existing wind speed measurement instrument number 2, 'if wind speed measurements m Individual wind sectors at a unacceptable level are drifting from each other measured oyer time.
Warning flag when existing wind direction measurement instruments has to he exchanged, ifi mmwmm considered:
Wml direction measured by different emting instruments
Measured actual nacelle direction by nacelle based compass (grouped into rolievant wind seeteesj Time .stamped tepstt yVsnd direction measured by the existing wind direction m easoremant instrument my m bt-r 1 Wmd direetkm measured by the exiting wind direction measurement, instrument number 2
Mmmt&A oscelfe direction by nacelle based compass or any other imtmmm which cm measure the naæiie direction correctly Oytptst - CMitømkm reference table and/or metti-dimensfbfaai calibration algorithm;
Pof the existing mmi direction measurement instmment number 1 and also for existing wind direction measurement instrument number i, there wrh be established a reference table and/or multi'dimensional calibration algorithm applicable for each wind sector. Use of the Calibration referenoHatfcte and/or muitMimeetitoal calibration alf witte
There will be a warning flagged to wind turbine controller or to external related to the existing wind direction measurement Instrument number land also from existing wind direction measurement Instrument number % if wind direction measurements m individual wind sectors at a unacceptable \mcå are drifting from each other measured over time.
Reference numbers in the drawing: 2 WTG yaw correction system (signal correction box) 4 Nacelle 6 WTG (wind turbine generator) 8 Existing wind speed and wind direction measurement instruments 9 Nacelle based air pressure and temperature measurement instrument 10 WTG controller 11 Nacelle based compass or any other instrument that reliably can measure the true nacelle direction 12 LiDAR (Light Detection And Ranging), a spinner anemometer or any other instrument which can measure wind speed and yaw misalignment and potentially also turbulence in front of or on the rotor 17 13 RPM sensor 14 rotor blades 15 hub/spinner 16 arrow representing surrounding wind sectors 17 Rotor 17 (rotor blades 14 and hub/spinner 15 on which the rotor blades 14 is mounted).
18 dotted line representing 0° yaw misalignment 20 average yaw misalignment value 22 wind direction arrow 24 nacelle direction (dotted line) 26 dotted interaction arrow 28 double interaction arrow 30 power supply 32 terminal interface 34 WAN interface 36 signal flow arrow (during “fail safe state”) elongate arrow 38 signal flows arrows (during normal operation) 39 LiDAR with circular scan pattern 40 4-beam LiDAR with Linear scan pattern 41 sloped wind inflow angle illustrated by the arrows 42 optimal wind inflow angle illustrated by the dotted line
Claims (11)
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DKPA201470455A DK178403B1 (en) | 2014-07-17 | 2014-07-17 | Wind turbine generator yaw correction system and Method for operating WTG yaw correction system |
| PCT/DK2015/050222 WO2016008500A1 (en) | 2014-07-17 | 2015-07-15 | Wind turbine generator yaw correction system and method for operating wtg yaw correction system |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DK201470455 | 2014-07-17 | ||
| DKPA201470455A DK178403B1 (en) | 2014-07-17 | 2014-07-17 | Wind turbine generator yaw correction system and Method for operating WTG yaw correction system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| DK201470455A1 DK201470455A1 (en) | 2016-02-01 |
| DK178403B1 true DK178403B1 (en) | 2016-02-08 |
Family
ID=55077937
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| DKPA201470455A DK178403B1 (en) | 2014-07-17 | 2014-07-17 | Wind turbine generator yaw correction system and Method for operating WTG yaw correction system |
Country Status (2)
| Country | Link |
|---|---|
| DK (1) | DK178403B1 (en) |
| WO (1) | WO2016008500A1 (en) |
Families Citing this family (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DK179018B1 (en) * | 2016-03-14 | 2017-08-21 | Ventus Eng Gmbh | Method of condition monitoring one or more wind turbines and parts thereof and performing instant alarm when needed |
| CN107664096B (en) * | 2016-07-27 | 2018-11-27 | 北京金风科创风电设备有限公司 | Yaw wind control method, device and system |
| CN107882679B (en) * | 2016-09-29 | 2019-02-15 | 北京金风科创风电设备有限公司 | The Yaw control method and control device of wind power plant |
| ES2931227T3 (en) * | 2017-03-31 | 2022-12-27 | Siemens Gamesa Renewable Energy As | Determination of an orientation of a rotor plane of a wind turbine |
| CN107178469B (en) * | 2017-06-29 | 2019-02-15 | 北京金风科创风电设备有限公司 | The bearing calibration of the yaw angle angle value of wind power generating set and device |
| CN108131249B (en) * | 2017-11-27 | 2019-12-20 | 兰州理工大学 | Control system for hydrostatic energy storage type hydraulic transmission type wind generating set |
| DE102018001270A1 (en) | 2018-02-19 | 2019-08-22 | Senvion Gmbh | Method and system for calibrating an anemotropometer |
| DE102018001269A1 (en) * | 2018-02-19 | 2019-08-22 | Senvion Gmbh | Method and system for determining an alignment correction function |
| US11255314B2 (en) * | 2018-09-10 | 2022-02-22 | General Electric Company | Energy audit tool for a wind turbine power system |
| CN109710977B (en) * | 2018-11-27 | 2023-05-02 | 东方电气自动控制工程有限公司 | Device and method for obtaining average wind direction of fan relative to cabin |
| CN110863945A (en) * | 2019-12-03 | 2020-03-06 | 中国船舶重工集团海装风电股份有限公司 | Blade control system, method and device and readable storage medium |
| WO2021121506A1 (en) * | 2019-12-20 | 2021-06-24 | Vestas Wind Systems A/S | Method of determining orientation of a nacelle |
| ES2923754T3 (en) * | 2020-04-29 | 2022-09-30 | Ovidiu Dev S A | System and method for determining the wind yaw misalignment of a horizontal axis onshore wind turbine |
| CN113309663B (en) * | 2021-03-08 | 2022-11-15 | 新疆金风科技股份有限公司 | Control method and control device for wind generating set |
| US11136966B1 (en) | 2021-04-23 | 2021-10-05 | Ovidiu Development Sa | System and method for determining the wind yaw misalignment of a horizontal axis on-shore wind turbine |
| CN113847199B (en) * | 2021-10-27 | 2023-05-09 | 中国华能集团清洁能源技术研究院有限公司 | Yaw optimization control method based on airborne radar online yaw system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1793123A2 (en) * | 2005-12-05 | 2007-06-06 | General Electric Company | Correction method for wind speed measurement at wind turbine nacelle |
| WO2011150942A1 (en) * | 2010-06-04 | 2011-12-08 | Vestas Wind Systems A/S | An improved wind turbine doppler anemometer |
| WO2012000513A2 (en) * | 2010-06-30 | 2012-01-05 | Vestas Wind Systems A/S | Apparatus and method for reducing yaw error in wind turbines |
| US20120179376A1 (en) * | 2011-01-11 | 2012-07-12 | Ophir Corporation | Methods And Apparatus For Monitoring Complex Flow Fields For Wind Turbine Applications |
| EP2607689A2 (en) * | 2011-12-22 | 2013-06-26 | Vestas Wind Systems A/S | Rotor-sector based control of wind turbines |
| WO2014015878A1 (en) * | 2012-07-26 | 2014-01-30 | Vestas Wind Systems A/S | Wind turbine tilt optimization and control |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2011014712A2 (en) * | 2009-07-29 | 2011-02-03 | Michigan Aerospace Corporation | Atmospheric measurement system |
| US8058740B2 (en) * | 2009-12-10 | 2011-11-15 | General Electric Company | Wind turbine cable twist prevention |
| KR101654498B1 (en) * | 2012-12-26 | 2016-09-05 | 엠에이치아이 베스타스 오프쇼어 윈드 에이／에스 | Control device, method, and a computer readable recording medium having program therein, and floating body wind-powered electricity generation device equipped with same |
| US9512820B2 (en) * | 2013-02-19 | 2016-12-06 | Siemens Aktiengesellschaft | Method and system for improving wind farm power production efficiency |
-
2014
- 2014-07-17 DK DKPA201470455A patent/DK178403B1/en not_active IP Right Cessation
-
2015
- 2015-07-15 WO PCT/DK2015/050222 patent/WO2016008500A1/en active Application Filing
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1793123A2 (en) * | 2005-12-05 | 2007-06-06 | General Electric Company | Correction method for wind speed measurement at wind turbine nacelle |
| WO2011150942A1 (en) * | 2010-06-04 | 2011-12-08 | Vestas Wind Systems A/S | An improved wind turbine doppler anemometer |
| WO2012000513A2 (en) * | 2010-06-30 | 2012-01-05 | Vestas Wind Systems A/S | Apparatus and method for reducing yaw error in wind turbines |
| US20120179376A1 (en) * | 2011-01-11 | 2012-07-12 | Ophir Corporation | Methods And Apparatus For Monitoring Complex Flow Fields For Wind Turbine Applications |
| EP2607689A2 (en) * | 2011-12-22 | 2013-06-26 | Vestas Wind Systems A/S | Rotor-sector based control of wind turbines |
| WO2014015878A1 (en) * | 2012-07-26 | 2014-01-30 | Vestas Wind Systems A/S | Wind turbine tilt optimization and control |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2016008500A1 (en) | 2016-01-21 |
| DK201470455A1 (en) | 2016-02-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| DK178403B1 (en) | Wind turbine generator yaw correction system and Method for operating WTG yaw correction system | |
| ES2806806T3 (en) | Method of monitoring the condition of one or more wind turbines and parts of them and executing an instantaneous alarm when necessary | |
| ES2904596T3 (en) | System and procedure for forecasting the power output of a wind farm | |
| CN101493379B (en) | Wind turbine anemometry compensation | |
| CN110023619B (en) | Method for controlling a wind turbine | |
| GB2477968A (en) | Method of operating a wind turbine to provide a corrected power curve | |
| US20160377056A1 (en) | Method and system for improving energy capture efficiency from an energy capture device | |
| US11313351B2 (en) | Methods and systems of advanced yaw control of a wind turbine | |
| JP6054998B2 (en) | How to determine lost energy | |
| Wagner et al. | Procedure for wind turbine power performance measurement with a two-beam nacelle lidar | |
| WO2019103621A1 (en) | Wind turbine blade orientation detection | |
| Wagenaar et al. | Turbine performance validation the application of nacelle LiDAR | |
| TW201908598A (en) | Wind power-generation system | |
| Cassamo | Active Wake Control Validation Methodology | |
| ES2912067T3 (en) | System and procedure to determine wake losses in a wind farm | |
| Bot | Flow analysis with nacelle-mounted LiDAR | |
| Kanev et al. | On the application of LiDARs in wind farm control | |
| Marina et al. | Application of LiDARs in Annual Energy Production Assessment of Wind Turbines | |
| Wagenaar et al. | ECN-NORCOWE wake LiDAR measurement campaign at ECN test site | |
| Carlberg | Quantify change in wind turbine power performance using only scada data | |
| Morton et al. | Wind Iris Operational Applications | |
| Borraccino et al. | Power performance verification in complex terrain using nacelle lidars: the Hill of Towie (HoT) campaign | |
| Horsfield | An Assessment of the Accuracy and Potential of LIDAR in the Wind Industry | |
| Nishio et al. | THE INFLUENCE OF ERROR FACTORS ON WIND TURBINE PERFORMANCE USING A NACELLE-MOUNTED LiDAR SYSTEM | |
| Wouters et al. | Verification of the ZephIR300LiDARattheECN LiDAR Calibration Facility fortheoffshoreEuroplatform measurement campaign |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PBP | Patent lapsed |
Effective date: 20170731 |