WO2010061255A2 - Commande de pas active pour réduire le bruit ou les charges d'une éolienne - Google Patents

Commande de pas active pour réduire le bruit ou les charges d'une éolienne Download PDF

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Publication number
WO2010061255A2
WO2010061255A2 PCT/IB2009/007262 IB2009007262W WO2010061255A2 WO 2010061255 A2 WO2010061255 A2 WO 2010061255A2 IB 2009007262 W IB2009007262 W IB 2009007262W WO 2010061255 A2 WO2010061255 A2 WO 2010061255A2
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WO
WIPO (PCT)
Prior art keywords
noise
blade
pitch
wind turbine
blade pitch
Prior art date
Application number
PCT/IB2009/007262
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English (en)
Other versions
WO2010061255A3 (fr
Inventor
Khanh Quoc Nguyen
Original Assignee
Clipper Windpower, Inc.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Clipper Windpower, Inc. filed Critical Clipper Windpower, Inc.
Publication of WO2010061255A2 publication Critical patent/WO2010061255A2/fr
Publication of WO2010061255A3 publication Critical patent/WO2010061255A3/fr

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Classifications

    • 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
    • F03D7/022—Adjusting aerodynamic properties of the blades
    • F03D7/024—Adjusting aerodynamic properties of the blades of individual blades
    • 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
    • F03D7/022—Adjusting aerodynamic properties of the blades
    • F03D7/0224—Adjusting blade pitch
    • 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
    • F03D7/0296—Controlling wind motors  the wind motors having rotation axis substantially parallel to the air flow entering the rotor to prevent, counteract or reduce noise emissions
    • 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
    • F03D7/04—Automatic control; Regulation
    • F03D7/042—Automatic control; Regulation by means of an electrical or electronic controller
    • F03D7/043—Automatic control; Regulation by means of an electrical or electronic controller characterised by the type of control logic
    • 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
    • F05B2260/96—Preventing, counteracting or reducing vibration or noise
    • 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
    • F05B2270/333—Noise or sound levels
    • 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

Definitions

  • the invention relates to fluid-flow turbines, such as wind turbines and more particularly to an apparatus and method to reduce wind turbine operating noise.
  • wind turbines have been operated at constant speed.
  • the torque produced by the blades and main shaft determines the power delivered by such a wind turbine.
  • the turbine is typically controlled by a power command signal, which is fed to a turbine blade pitch angle servo motor control. This servo controls the pitch of the rotor blades and therefore the power output of the wind turbine .
  • variable speed wind turbines To alleviate the problems of power surges and mechanical loads and to increase performance compared to constant speed wind turbines, the wind power industry has been moving towards the use of variable speed wind turbines .
  • a variable speed wind turbine is described in US Patent 7,042,110.
  • Turbine control systems can reduce loads, reduce motor torque, and provide better control.
  • Control systems range from the relatively simple proportional, integral derivative (PID) collective blade controllers to independent blade state space controllers . These controls do not address the issue of noise emanating from an operating wind turbine, which, if it exceeds an acceptable level, will severely limit the environment in which the turbines will be allowed to operate .
  • the blade pitch is used to control aerodynamic angle of attack. If all else, is equal, then a greater value of angle of attack can typically cause greater blade noise due to trailing edge separation, thicker boundary layers, and increased small-scale turbulence.
  • Wobben Patent 6,966,754 relates to a system for monitoring the operation of wind turbines, wherein image and acoustic monitoring is performed in order to improve the maintenance, safety and efficiency of the wind turbine.
  • Acoustic and optical sensors are employed to monitor the operation of the wind turbine .
  • the optical sensor images a particular location in the nacelle housing when the acoustic sensor detects a sound emanating from that location in the nacelle housing.
  • a deviation between an operating acoustic spectrum and a reference acoustic spectrum exceeds a threshold, the component that generated the operating acoustic spectrum is imaged.
  • an algorithm diagnoses a noise source strength distribution on a wind turbine installation based on acoustic pressures measured in the far field. This enables one to acquire a quick estimate of the acoustic pressure at locations that are off limit to traditional measurement microphones or blade mounted pressure sensors .
  • the noise source is modeled in terms of a plurality of virtual spherical wave sources distributed on an auxiliary surface conformal to a source boundary from the inside, but not on the source boundary itself . Sound is then measured at a plurality of measurement points external to the source boundary. The sound field is reconstructed on the source boundary surface itself. What is needed is a method to measure the rotor noise of a turbine, either directly or indirectly, and then reduce it.
  • the method employs image and acoustic monitoring inside a turbine, nacelle, tower, or hub and processes the information to detect faults or anomalies during turbine operations.
  • Wobben's method employs noise measurements
  • Wobben's objective is to detect faults in an open-loop sense, not to reduce noise.
  • the faults are detected in Wobben's method by comparing the measured noise to a stored reference signal. It is desirable to provide noise reduction as a component of a turbine control system. It is also desirable to process measured noise into a metric (decibel scale) and use it as a feedback signal in a rotor blade control system to reduce noise to an acceptable decibel level .
  • the present invention relates to an apparatus and method of controlling a wind turbine having a number of rotor blades to affect noise reduction.
  • the noise may be caused by rotation of the rotor blades during turbine operation.
  • the wind turbine uses a pitch command to control pitch of the rotor blades of the wind turbine.
  • the method first determines and stores a nominal metric (decibel level) that represents an acceptable noise level set point.
  • the control uses one more acoustic devices, such as microphones or blade mounted pressure sensors, to sense instantaneous noise of the wind turbine resulting in a noise signal.
  • the control uses the noise signal to calculate a blade pitch modulation needed to compensate for the instantaneous noise, normally reducing blade angle of attack to bring down the nominal noise level .
  • the calculated blade pitch modulation is combined with the nominal pitch command determined to control, for example, the rotor rpm. Finally, the combination is used to control pitch of the rotor blades in order to reduce the instantaneous noise of the wind turbine .
  • the invention therefore uses an output of conventional control systems and adds compensation for instantaneous conditions deviating from nominal or mean conditions by modulation of the control signals.
  • the basic control mechanism providing the basic pitch command is not affected, since only the output signal is modulated. Therefore, the system can smoothly and stably return to the unmodulated control values if deviations from the nominal values are not registered. Because this method uses active blade pitch control to reduce noise, it has a potential for large noise reduction.
  • the method measures the rotor noise of a turbine, either directly or indirectly, and then reduces it.
  • the method employs image and acoustic monitoring inside a turbine, nacelle, tower, or hub, and processes the information to detect faults or anomalies during turbine operations. While the present invention employs noise measurements, Wobben 1 S method only detect faults, it does not reduce noise.
  • Wobben compares the measured noise to a reference signal, while the present invention processes the measured noise into a metric (on a decibel scale) and uses it as a feedback signal in a control system.
  • the method uses acoustic arrays to measure the far field noise and employs signal processing to identify the noise source. It is a measurement technique involving no controls .
  • the method of the present invention also measures far field noise, but it processes the measurement and uses it as a feedback signal for noise control. Thus, the present invention focuses on noise reduction and not on identifying the noise source.
  • the noise processing technique used in the method of this invention differs from and is simpler than the one described in Wu 's patent.
  • the low noise technology of the invention enables quiet turbine operations for public acceptance and enables high tip speed rotor designs for enhanced power production.
  • the invention has the advantage that existing turbines can be retrofitted with a noise reduction package; including a noise reduction apparatus embedded in the turbine controller and microphones or blade-mounted pressure sensors.
  • the way in which the pitch modulation is chosen or calculated on basis of the noise information may vary.
  • the pitch modulation generally moves towards "feather", or reduced angle of attack, on an individual blade that is sensed to be at a higher noise level (or to have unsteady pressure measurements) at a certain azimuth position. At other azimuth positions, the blade is modulated to its nominal position.
  • a solution could also be devised where acoustic sensing devices could be used to determine an individual blade pitch strategy that could be used for average or common wind conditions or typical wind shear values.
  • the pitch strategy could be open loop as a table lookup and could reduce noise of the turbine in common wind regimes .
  • the invention may be used not only to reduce noise of a wind turbine but also for loads reduction. When implemented as described for reducing noise, a loads reduction is an almost certain side effect. However, even when the turbine noise is not an issue of major importance (e.g. devices installed offshore) the invention may be used to reduce loads. In this connection, noise is considered as an indication for loads on the blades.
  • the analysis of the kind or intensity of noise is detected by noise sensors. The relation between the detected noise and the loads may be based on empirical values which may be used in order to derive a load condition in relation to detected noise. Therefore, according to special embodiments of the invention the noise reduction may even be a side effect of the load reduction for which the noise is detected as an indicator.
  • FIGURE 1 is a block diagram of a variable speed wind turbine in an example of a positive wind shear in which the present invention is embodied;
  • FIGURE 2 is a block diagram of a general noise compensator in parallel with a conventional collective controller
  • FIGURE 3 is a top view of wind turbine illustrating noise reduction system using field microphones
  • FIGURE 4 is a side view of a wind turbine illustrating noise reduction using proximity microphones located on a wind turbine tower;
  • FIGURE 5 is a block diagram of a noise processor (PID controller) , which processes measured noise signals into a metric, which is used to compute a blade pitch schedule for noise reduction; and
  • PID controller noise processor
  • FIGURE 6 is a flow chart of the method of noise reduction in a wind turbine in accordance with the invention.
  • FIGURE 1 is a block diagram of a variable- speed wind turbine apparatus in accordance with the present invention.
  • the wind power-generating device includes a turbine which turns one or more electric generators and has a nacelle 100, which is mounted atop a tower structure 102 anchored to the ground 104 or another type of foundation.
  • the nacelle 100 rests on a yaw platform 101 and is free to rotate in the horizontal plane about a yaw pivot 106 and is maintained in the path of prevailing wind current 108, 110.
  • the turbine has a rotor with variable pitch blades, 112, 114, attached to a rotor hub 118.
  • the blades rotate around axis 122 in response to wind current, 108, 110.
  • Each of the blades may have a blade base section and a blade extension section such that the rotor is variable in length to provide a variable diameter rotor.
  • the rotor diameter may be controlled to fully extend the rotor at low flow velocity and to retract the rotor, as flow velocity increases such that the loads delivered by or exerted upon the rotor do not exceed set limits.
  • the nacelle 100 is held on the tower structure in the path of the wind current such that the nacelle is held in place horizontally in approximate alignment with the wind current.
  • the electric generator is driven by the turbine to produce electricity and is connected to power carrying cables inter-connecting to other units and/or to a power grid.
  • Vertical wind shear is the change in wind speed with height above ground. Positive wind shear is illustrated in FIGURE 1 by the greater wind speed arrow 108 and the lower wind speed arrow 110 closer to ground.
  • vertical wind shear is caused by height-dependent friction with the ground surface 104. The higher the height is above ground, 108, the less the effect of surface friction 104 and the higher the wind speed. Generally, the closer the height to ground, 110, the more the effect surface friction 104 has and the lower the wind speed. Because of wind shear, the wind turbine should control the pitch of the rotor blades independently of each other .
  • the apparatus shown in FIGURE 1 compensates for noise in a wind turbine 100.
  • the pitch of the blades is controlled in a conventional manner by a command component, conventional pitch command logic 148, which uses generator RPM 138, which is an output of shaft rotation sensor 132, to develop a nominal rotor blade pitch command signal 154.
  • a storage 144 contains a stored value a nominal noise decibel level and the blade pitch limits for noise compensation. The pitch limits are used to prevent blade loads exceeding their fatigue limits. These limits depend on the properties of the blades and are determined analytically and experimentally.
  • Noise sensor microphones or blade mounted pressure sensors have an output, which represents noise signals 147.
  • the microphones 160, 161, 162, 163 are located on the ground 104 and/or microphones 164,165, 166, 167 are attached to the tower 102.
  • the microphones should surround the tower to triangulate blade noise source and to also account for the changing yaw position of the turbine in response to changes in wind direction.
  • a yaw angle sensor 124 is provided to generate a yaw angle 143.
  • the blade-mounted pressure sensors are located on the rotor blades .
  • Conversion logic 146 is connected to the noise signals 147, to the blade rotational positions 140, and to the blade pitch sensors 141, which results in a calculated pitch modulation command 152. Combining logic connected to the calculated blade pitch modulation command 152 and to the pitch command 154, provides a combined blade pitch command 156 capable of commanding pitch of the rotor blades, which includes compensation for instantaneous noise levels of the wind turbine . Conversion logic 146 is also connected with the blade rotational position signal 140, which is an output of blade position sensor 134, and yaw angle 143, which is an output of yaw angle sensor 124. The yaw angle 143 is used to activate the appropriate microphones around the circumference of the tower, depending upon the circumferential position of the rotor blades .
  • FIGURE 2 is a block diagram of a general noise compensator in parallel with a conventional collective controller.
  • the apparatus shown in FIGURE 2 compensates for noise imbalance in a wind turbine 200.
  • the pitch of the blades is controlled in a conventional manner by a command component, conventional collective controller 248, which uses actual generator RPM 238 fed back to and combined with a desired RPM 239 to develop a collective pitch command signal 254.
  • Conversion logic (not shown) connected to a noise signal provides an output for each of the blades #1, #2 and #3, which is a calculated pitch modulation command 252.
  • Combining logic 250 connected to the calculated noise blade pitch modulation command 252 and to the collective pitch command 254, provides a combined blade pitch command 256 capable of commanding pitch of the rotor blades, which includes compensation for high instantaneous noise levels of the wind turbine 200.
  • the collective controller 248 therefore provides a control signal used as basis for controlling each of the blades #1, #2 and #3.
  • the combining logic 250 outputs individual blade commands by modulating the collective command signal 254 by individual blade pitch modulation command 252.
  • the conventional collective controller is a PID, PI, state space or any other type of control system.
  • a three-bladed turbine is illustrated, however any number of blades may be used.
  • a collective controller with pitch as its only output is illustrated, however generator torque and any other output is possible.
  • FIGURE 3 A collective controller with generator rpm as its only input is illustrated, however, actual blade pitch and any other inputs are within the scope of this invention.
  • the preferred apparatus for measurement of noise is illustrated in FIGURE 3.
  • the noise is measured by microphones located about a circle surrounding the wind turbine tower at equal distances from each other and from the turbine tower.
  • the microphones may be located on the ground as shown in FIGURE 3 or on the tower as shown in FIGURE 4.
  • FIGURE 3 is a top view of wind turbine illustrating noise reduction system using field microphones.
  • Four microphones 160,161,162,163 are located at ground level, circumferential around and equidistant from each other and from the wind turbine tower 102.
  • Microphone wires or wireless connection 301,303,305,307 relay microphone signals to a noise processor 312 in the nacelle 100.
  • the blades 112, 114 attached to a rotor hub 118 of the turbine blades can be pitched by pitch bearings 308, 310. In this arrangement, the four microphones mounted on the ground measure rotor blade noise.
  • the noise processor 312 uses the microphone signals, along with the rotor azimuth (blade rotational position) and yaw angle 143 (FIGURE 1) , to determine the noise levels.
  • the processed noise signal is used by the noise processor 312 to compute the blade pitch signal for noise reduction, as described with respect to FIGURE 1 OR FIGURE 2.
  • FIGURE 4 is a side view of the wind turbine of FIGURE 3 illustrating noise reduction using proximity microphones 164, 165, 166, 167, located circumferentially around the wind turbine tower 102.
  • the noise signals are transferred via wires 401, 402, 403, 404, to the noise processor 312 to determine the noise levels.
  • the processed noise signal is used by the noise processor 312 to compute the blade pitch signal for noise reduction, as described with respect to FIGURE 1 OR FIGURE 2.
  • FIGURE 5 which is a block diagram of a noise controller , which processes measured noise signals into a noise metric and uses it to compute a blade pitch schedule to reduce noise. While different types of controller can be implemented based on this invention, the PID controller is described here. In this invention, the PID controller of
  • FIGURE 5 attempts to correct the error between a desired set point 500 (acceptable noise level) and a measured noise variable 512, by calculating and then outputting a corrective action 506 that can adjust the rotor blade pitch 508 accordingly.
  • the set point 500 is a nominal noise metric (decibel level) that represents an acceptable noise level. Microphones pick up noise from the turning rotor blades of a wind turbine, resulting in noise signals 512. The noise signals are input 514 to logic 516 that processes the noise signals into a measure noise metric 502.
  • the measured noise metric 502 and the nominal noise metric 500 (set point) are summed 501 and output to a controller 504.
  • the output 506 of the controller 504 is a blade pitch command 506 that changes the pitch of each of the rotor blades of the wind turbine 508 in a direction that will attempt to reduce the rotor blade noise 510.
  • this invention can be implemented using the harmonic controller.
  • the harmonic controller 504 outputs blade pitch 506 in terms of sine or cosine of the rotor azimuth (blade rotational position) .
  • the other elements of the harmonic controller are identical to those of the PID controller described previously
  • FIGURE 6 is a flow chart of the method of noise reduction in a wind turbine .
  • a value of a predetermined or learned noise level limit metric is determined and stored.
  • the controls maintain the blade pitch to desired operating position 602.
  • the noise processor 608 uses the microphone signals 607, along with the yaw angle 606, to determine the noise level 609.
  • the yaw angle defines the rotor orientation with respect to the microphones locations.
  • the noise processor 608 uses the yaw angle to identify the appropriate weighting factor for each microphone signal before processing.
  • Sensing and processing of an instantaneous noise of the wind turbine results in an instantaneous noise signal 609.
  • the noise signal 609 is presented to a decision block 610. If the noise signal exceeds the stored noise level limit metric, the flow continues to logic block 612.
  • the instantaneous noise signal 609 is converted 612 to a blade pitch modulation 614 and the flow proceeds to logic 615.
  • blade pitch exceeds a design limit 615 the blades are not allowed to pitch farther. If the blade pitch does not exceed the design limit 615 the blades are allowed to pitch farther and the flow proceeds to logic 624. If the blade pitch does exceed the design limit 615 the blades are not allowed to pitch farther and the flow returns to block 610.
  • actual rotor RPM is detected 616 and presented to a decision block 618. Sensing of actual RPM of the wind turbine results in an instantaneous RPM signal. To maintain a target RPM, the instantaneous RPM is converted 620 to a nominal blade pitch command 622. During operation at less than rated RPM, the pitch and rotor speed may be varied to optimize performance.
  • the blade pitch modulation 614 is added at logic 624 to the nominal blade pitch command 622 resulting in a combined pitch command 625 to the blade pitch control logic 628.
  • the blade is incremented accordingly and the flow returns 629 to logic 610.
  • the combined pitch command 625 is used to control pitch of the rotor blades in order to compensate for the instantaneous noise of the wind turbine rotor blades. While the invention has been particularly shown and de- scribed with reference to preferred embodiments thereof, it will be understood by those skilled in the art that the foregoing and other changes in form and detail may be made therein without departing from the scope of the invention. Therefore, the invention is applicable to any wind powered device with adjustable pitch.
  • the inventive concept is not restricted to to devices with turbines and/or generators housed in a nacelle but may be applied to any setup with a rotor generating rotor torque which is somehow coupled to generators or other force transforming means.

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  • Engineering & Computer Science (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)
  • Physics & Mathematics (AREA)
  • Fluid Mechanics (AREA)
  • Wind Motors (AREA)

Abstract

Procédé d'actionnement de la commande de pas, qui réduit les bruits de rotor pendant le fonctionnement d'une éolienne. Un microphone ou un capteur de pression monté sur une pale fournit un signal de réaction de niveau sonore à un dispositif de commande de pas. Le dispositif de commande de pas utilise le signal de réaction pour régler le pas afin de réduire le niveau sonore en décibels mesuré à un niveau en décibels acceptable.
PCT/IB2009/007262 2008-11-01 2009-10-29 Commande de pas active pour réduire le bruit ou les charges d'une éolienne WO2010061255A2 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US19791708P 2008-11-01 2008-11-01
US61/197,917 2008-11-01

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WO2010061255A2 true WO2010061255A2 (fr) 2010-06-03
WO2010061255A3 WO2010061255A3 (fr) 2010-12-23

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EP2216549A3 (fr) * 2009-02-10 2010-12-15 General Electric Company Contrôle d'émission du bruit pour une éolienne
GB2482661A (en) * 2010-07-26 2012-02-15 Vestas Wind Sys As Upwind wind turbine with tower-mounted air pressure sensors
US8304926B2 (en) 2011-09-16 2012-11-06 General Electric Company Wind turbine sound management
WO2013023660A1 (fr) * 2011-08-16 2013-02-21 Vestas Wind Systems A/S Système de surveillance du bruit acoustique d'une éolienne
CN103161662A (zh) * 2011-12-13 2013-06-19 新疆金风科技股份有限公司 风力发电机叶片的变桨限位结构
US9014861B2 (en) 2011-12-20 2015-04-21 General Electric Company Method and system for noise-controlled operation of a wind turbine
US9347432B2 (en) 2014-07-31 2016-05-24 General Electric Company System and method for enhanced operation of wind parks
US9593668B2 (en) 2013-09-10 2017-03-14 General Electric Company Methods and systems for reducing amplitude modulation in wind turbines
US9995277B2 (en) 2014-07-31 2018-06-12 General Electric Company System and method for controlling the operation of wind turbines
US10024304B2 (en) 2015-05-21 2018-07-17 General Electric Company System and methods for controlling noise propagation of wind turbines
US10400744B2 (en) 2016-04-28 2019-09-03 General Electric Company Wind turbine blade with noise reducing micro boundary layer energizers
CN110242498A (zh) * 2019-06-28 2019-09-17 湘电风能有限公司 一种风力发电机组独立变桨系统
US10451039B2 (en) 2017-06-09 2019-10-22 General Electric Company System and method for reducing wind turbine noise during high wind speed conditions
CN110500234A (zh) * 2018-05-18 2019-11-26 北京金风科创风电设备有限公司 用于风力发电机组的噪声控制的方法和装置
US10711766B2 (en) 2014-07-31 2020-07-14 General Electric Company System and method for optimal operation of wind farms
WO2020238182A1 (fr) * 2019-05-30 2020-12-03 北京金风科创风电设备有限公司 Procédé et appareil de commande prédictive pour ensemble générateur éolien, et système de commande
CN114414037A (zh) * 2022-01-18 2022-04-29 华能湖北新能源有限责任公司 一种风力发电机组叶片健康监测装置及监测方法
CN115450858A (zh) * 2022-10-18 2022-12-09 山东大学 基于数字孪生的风机叶片状态检测方法及系统
EP4299898A1 (fr) * 2022-07-01 2024-01-03 Siemens Gamesa Renewable Energy Innovation & Technology S.L. Commande d'une éolienne basée sur le bruit
EP4317680A1 (fr) 2022-08-05 2024-02-07 Christoph Lucks Procédé de détection d'un déséquilibre d'une éolienne et de génération du courant au moyen de l'éolienne

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