WO2019034218A1 - Stratégie de commande d'éolienne multi-rotor basée sur un état opérationnel - Google Patents

Stratégie de commande d'éolienne multi-rotor basée sur un état opérationnel Download PDF

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Publication number
WO2019034218A1
WO2019034218A1 PCT/DK2018/050190 DK2018050190W WO2019034218A1 WO 2019034218 A1 WO2019034218 A1 WO 2019034218A1 DK 2018050190 W DK2018050190 W DK 2018050190W WO 2019034218 A1 WO2019034218 A1 WO 2019034218A1
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WO
WIPO (PCT)
Prior art keywords
rotor
rotors
wind turbine
controlling
control settings
Prior art date
Application number
PCT/DK2018/050190
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English (en)
Inventor
Julio Xavier Vianna NETO
Original Assignee
Vestas Wind Systems A/S
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 Vestas Wind Systems A/S filed Critical Vestas Wind Systems A/S
Publication of WO2019034218A1 publication Critical patent/WO2019034218A1/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
    • F03D1/00—Wind motors with rotation axis substantially parallel to the air flow entering the rotor 
    • F03D1/02—Wind motors with rotation axis substantially parallel to the air flow entering the rotor  having a plurality of rotors
    • 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
    • F03D7/0276—Controlling wind motors  the wind motors having rotation axis substantially parallel to the air flow entering the rotor controlling rotor speed, e.g. variable speed
    • 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
    • F05B2240/00—Components
    • F05B2240/40—Use of a multiplicity of similar components
    • 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
    • F05B2270/335—Output power or torque
    • 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
    • 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
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P70/00—Climate change mitigation technologies in the production process for final industrial or consumer products
    • Y02P70/50—Manufacturing or production processes characterised by the final manufactured product

Definitions

  • the invention relates to a method for controlling a multi-rotor wind turbine with at least two rotors.
  • the method comprises steps of receiving operational data representative of a current operational state of the rotors, determining optimal control settings, based on at least the operational data and aerodynamic performance data, and submitting the optimal control settings to the production controllers.
  • the invention further relates to a computer program product and a multi-rotor wind turbine operable to perform such a method.
  • wind turbines Depending on wind speed, wind turbines generally operate in four different modes, also called 'regions'.
  • region I the rotor rotates at its minimum operational speed. Wth increasing wind speeds, the blade pitch (i.e. the orientation of the rotor blade surface, relative to the wind direction) is adapted to increase the power output of the wind turbine.
  • region I the wind turbine does not run at its optimum efficiency. For every wind speed, there is an optimal combination of pitch and tip speed ratio (i.e. the rotational speed of the rotor times its radius, divided by the wind speed) at which the power coefficient (a measure for the rotor's efficiency) is at a maximum.
  • the pitch and the rotational speed of the rotor are such that the rotor performs at the top of its performance curve.
  • a typical wind turbine under typical conditions, operates in region II for more than 50% of the time. Knowing the optimal tip speed ratio and blade pitch of a rotor thus is important for optimal operation of a wind turbine.
  • the exact shape of the performance curve depends on the dimensions and geometry of the rotor and its blades. For single rotor wind turbines, determining and using the performance curve is a well-established practice. Computer models of the wind turbine and its rotor blades, together with an analysis of the air around the operating wind turbine (e.g. using blade Element
  • this object is achieved by providing a method for controlling a multi-rotor wind turbine with at least two rotors, the method comprising the steps of receiving, from respective production controllers of the at least two rotors, operational data representative of a current power output of the respective rotors, determining a rotor activity pattern based on the operational data of each one of the at least two rotors, determining, for each one of the at least two rotors, optimal control settings, based on the rotor activity pattern and on aerodynamic performance data of the respective rotor and submitting the optimal control settings of each one of the at least two rotors to the respective production controllers.
  • the respective production controller may then control the respective rotor.
  • the constant tip speed ratio is dependent on the rotor activity pattern.
  • this constant tip speed ratio is increased when more rotors are active or when the rotor speed of one or more of the rotors increases.
  • the constant tip speed ratio may be dependent on the activity pattern for a continuous range of wind speeds, the wind speeds being below the rated wind speed. This may e.g. be for the respective rotor operating in region II.
  • Aerodynamic performance data used for determining the optimal control settings is dependent on the rotor activity pattern. Aerodynamic performance data describes a relation between obtainable power output (how well does the rotor perform) and aerodynamic conditions (wind speed and direction relative to rotor blade alignment). The aerodynamic performance of a rotor depends on a lot of different internal and external factors. The more factors are taken into account, the more reliably the aerodynamic performance data can be used to predict what control settings will lead to what power output.
  • the method according to the invention takes the operational state of the whole turbine into account for determining one optimal set of control settings (e.g. for tip speed ratio and blade pitch) that is applied to all active rotors.
  • each individual rotor receives its own separate set of control settings.
  • some of the rotors or groups of rotors of the same multi-rotor wind turbine may receive identical settings, while other rotors or groups of rotors get different settings.
  • a so-called wake mixing effect changes the axial pressure profile and consequently the performance of the wind turbine.
  • a multi-rotor wind turbine has to run with a higher thrust than a single rotor wind turbine, and so the optimal tip speed ratio is also higher.
  • the optimal control settings for each one of the rotors do not only depend on the wind speed and the properties of the rotor itself, but also on the activity of the nearby rotors of the same multi-rotor wind turbine.
  • the tip speed ratio of a rotor When operating with the tip speed ratio of a rotor is kept constant, such as in region II. Preferably, this constant tip speed ratio is increased when more rotors are active or when the rotor speed of one or more of the rotors increases.
  • Exemplary control settings to be determined and submitted to the production controllers of the respective rotors are a pitch angle and an optimal tip speed ratio. Instead of the optimal tip speed ratio, an optimal rotational speed of the rotor may be determined and submitted. When the wind speed is known the tip speed ratio and the rotational speed of the rotor can easily be converted to one another.
  • the term 'speed of rotation' may be used and should be interpreted as referring to the tip speed ratio, the rotational speed of the rotor, or equivalent measures for the speed of rotation.
  • Wth Operational data representative of a current power output' we both mean data from which the current power output is directly derivable as well as parameters that can be used, together with other parameters, to calculate and/or estimate the current power output.
  • the operational data received from the respective production controllers comprises at least two of a current power output, an optimal pitch angle, a current rotor speed and a current wind speed.
  • rotor speed may be substituted by tip speed or tip speed ratio.
  • an optimal pitch angle and speed of rotation can be determined and submitted to the respective production controllers. According to the invention, not only the operational data of the rotor itself, but also that of its neighbouring rotors is taken into account.
  • the aerodynamic performance data may be stored in the form of lookup tables, providing power coefficients for different rotation speeds, pitch angles and rotor activity patterns, the rotor activity patterns being derivable from the operational data of each one of the at least two rotors.
  • the lookup tables may be based on different useful parameters, such as wind speeds, power outputs, thrust or thrust coefficients.
  • the rotor activity patterns indicate which rotors are active, not running at full capacity or down for maintenance, safety or other reasons. Different activity patterns lead to different optimal blade pitch, tip speed ratios and/or other operational parameters.
  • the activity patterns are derivable from the combined operational parameters of the individual rotors and may, e.g., be expressed as a simple list of 0s and 1 s for inactive and active rotors or a list of percentages indicating at what percentage of its capacity each rotor is working.
  • 'Capacity' herein, may stand for, e.g., rated power output, maximum rotational speed, or optimal power output or rotational speed given the current wind speed. Other ways of expressing the actual activity of each rotor will be foreseeable for the skilled person.
  • the optimal control settings are determined such as to maximize a power coefficient in view of the received operational data of all rotors of the multi-rotor turbine.
  • the optimal control settings are determined such as to select for at least one of the rotors the control settings corresponding to a maximized power coefficient. This may, e.g., be implemented by selecting for at least one of the rotors a combination of tip speed ratio and pitch angle, which combination corresponds to the maximized power coefficient.
  • a multi-rotor wind turbine is provided.
  • the multi-rotor wind turbine comprises at least two rotors and an optimal operation manager, operatively coupled to the production of the respective rotors controllers and configured to perform a method as described above.
  • a multi-rotor wind turbine may comprise four rotors, but wind turbines with less or more rotors may be operated in the same way.
  • a computer program product comprising computer code for performing such a method.
  • Figures 1 A and 1 B schematically show two examples of a multi-rotor wind turbine in which the method according to the invention may be implemented.
  • Figure 2 shows a schematic representation of the most relevant functional parts of the multi-rotor wind turbine.
  • Figure 3 shows a diagram for illustrating different operation modes of a wind turbine rotor.
  • Figure 4 shows a diagram for illustrating the nature of some of the aerodynamic performance data that may be used in the method according to the invention.
  • Figure 5 shows a flow diagram of a method according to the invention
  • FIG. 1A schematically shows a multi-rotor wind turbine 100 in which the method according to the invention may be implemented.
  • the currently most common type of wind turbine is the horizontal axis wind turbine (HAWT). It usually has a nacelle placed on top of a high vertical pole, with the rotor blades attached to a horizontal low speed shaft that extends from the nacelle.
  • the nacelle may comprise a gear box for coupling the low speed shaft to an also horizontal high speed shaft that is connected to the generator. Power generated by the generator is transported to the ground by a power line running through the core of the pole, where it can be used or stored immediately or be coupled to a larger power grid.
  • this multi-rotor wind turbine 100 comprises two or more nacelles, here shown with four nacelles 111 , 121 , 131 , 141 , each carrying their own rotor 110, 120, 130, 140.
  • the nacelles 1 11-141 are spaced from each other by attaching them to arms 105, originating from the pole.
  • all four arms 105 originate from the same top part of the wind turbine 100, but one or more arms may also be attached to a lower part of the pole.
  • FIG. 1 B An example of a multi-rotor wind turbine different from the one shown in Fig. 1A is shown in Fig. 1 B, where the four rotors are arranged in two layers, and each layer can be yawed independently. While in the current examples all four rotors 110-140 rotate in the same vertical plane, it is also possible to put one or more rotors in different planes. Alternative configurations are also possible, where multiple poles are situated close enough to each other for a wake mixing effect to occur. Twin rotor wind turbines have been designed comprising two poles, organized in a V-shape.
  • the multi-rotor wind turbine has four rotors 1 10-140. It is, however, to be noted that a multi-rotor wind turbine, may alternatively comprise 2, 3, 5, 6 or more rotors.
  • Figure 2 shows a schematic representation of some functional parts of the multi-rotor wind turbine 100. For conciseness only, the third rotor 130 is omitted. Parameters being received from and submitted to the fourth rotor 140 are denoted by the subscript n for indicating that the invention also works for wind turbines with more than four rotors. In a similar manner, the wind turbine also works with two, three, five or more rotors.
  • Each rotor 110, 120, 140 is electronically coupled to a respective production controller 115, 125, 145.
  • the production controller 1 15-145 is operable to receive sensor readings from all types of sensors useful for the optimized control of the wind turbine 100.
  • sensor readings may represent (and are not limited to) wind speed, speed of rotation, gear box settings, pitch angle, yaw angle and power output.
  • the sensors may, e.g., be installed on the rotor blades, in the rotor hub, in the gearbox or the generator or on a brake or rotor shaft.
  • Wind speed for example, may be measured centrally with only one wind sensor or at each rotor separately using one or more wind speed sensors installed on each rotor.
  • wind speed can be estimated based on a measured power output and the measured values of other relevant parameters. It is to be noted that, also for wind speed estimation, it may be
  • Nearby rotors may influence the relation between wind speed, power output, blade pitch and rotational speed of a rotor.
  • the production controller 115-145 processes, and optionally stores, all the incoming information and adjusts control settings like desired pitch angle, yaw angle and speed of rotation in such a way to control and optimize the power output of the rotor 1 10-140. Specific examples of control strategies are described below with reference to figures 3 and 4.
  • the control settings of one rotor 1 10-140 do not only depend on the operational data originating from its own sensors, but also on the operational data of all (or some of) the other rotors 110-140.
  • the inventors have found out that just controlling the four rotors 1 10-140 as if they belong to four separate single-rotor wind turbines, does not lead to the best possible power output.
  • a so-called wake mixing effect changes the axial pressure profile for the neighbouring rotors and consequently the performance of the wind turbine 100. It has been realized that a multi-rotor wind turbine 100 has to run with a higher thrust than a single rotor wind turbine, and so the optimal tip speed ratio is also higher.
  • the optimal control settings for each one of the rotors 110-140 does not only depend on the wind speed and the properties of the rotor 1 10-140 itself, but also on the activity of the nearby rotors 1 10-140 of the same multi-rotor wind turbine 100.
  • the production controllers 1 15-145 are situated inside the respective nacelles 1 1 1-141 of their rotors, but alternative setups are foreseeable.
  • a central control unit may be provided for controlling the power production of each one of the rotors 1 10-140, or all data may be communicated wirelessly to a cloud server that process the incoming data and returns control instructions via the same or a similar communication signal.
  • the optimal operation manager 200 may be implemented in software code running on the same computer as is used for the four production controllers.
  • Figure 3 and 4 show diagrams for illustrating different operation modes of a wind turbine rotor. First this is done for wind turbine rotors in general, and then for a multi-rotor wind turbine 100 according to the invention. It is to be noted that the curves shown in this diagram only serve to illustrate a typical relation between the rotational speed, blade pitch and power output of one rotor. In practice, different rotors and different
  • wind turbines Depending on wind speed (v) , wind turbines generally operate in four different modes, also called 'regions'. In region I , the rotor rotates at its minimum operational speed ( ⁇ ) . With increasing wind speeds (v) , the blade pitch ( ⁇ ) is adapted to increase the power output (P) of the wind turbine. In region I , the wind turbine does not run at its optimum efficiency. For every wind speed (v), there is an optimal combination of pitch ( ⁇ ) and tip speed ratio ( ⁇ , i.e. the rotational speed ⁇ of the rotor times its radius R, divided by the wind speed v) at which the power coefficient (C p , a measure for the rotor's efficiency, see figure 4) is at a maximum. At the end of region I, the pitch ( ⁇ ) and the rotational speed ( ⁇ ) of the rotor are such that the rotor performs at the top of its performance curve.
  • region I I starts.
  • the rotational speed ( ⁇ ) of the rotor is changed proportionally while the pitch ( ⁇ ) is kept constant.
  • the tip speed ratio (X) is also kept constant and the rotor keeps on performing with a maximum power coefficient (C p ).
  • the turbine enters region I II .
  • a maximum power output (P) is reached (also called rated power, P 0 )
  • the wind turbine operates in region IV.
  • the blade pitch ( ⁇ ) may be adapted to avoid damage to the wind turbine at even higher wind speeds (v) .
  • the turbine is brought to a halt for safety reasons.
  • a typical wind turbine under typical conditions, operates in region II for more than 50% of the time. Knowing the optimal tip speed ratio (X) and blade pitch ( ⁇ ') of a rotor thus is important for optimal operation of a wind turbine.
  • the exact shape of the performance curve depends on the dimensions and geometry of the rotor and its blades. For single rotor wind turbines, determining and using the performance curve is a well-established practice. Computer models of the wind turbine and its rotor blades, together with an analysis of the air around the operating wind turbine (e.g. using Blade Element
  • Figure 4 shows an example of such a performance curve.
  • the performance curve, or a collection of multiple performance curves, may be used as the aerodynamic performance data for use in the method according to the invention.
  • the performance curves of Figure 4 shows the power coefficient (C p ) of one rotor for different tip speed ratios (A) and at a fixed pitch ( ⁇ ). For different pitch angles, the curves change. So for every wind speed, there is not only an optimal tip speed ratio (X), but also an optimal blade pitch (0 * ), which can be derived from a 3-dimensional Cp- ⁇ - ⁇ plot. Lookup tables or modelling functions may be used to determine the optimal control settings (X, ⁇ * ).
  • Curves are shown for three different situations.
  • the dotted line indicates the C p -A curve for a single rotor system, or for a multi-rotor wind turbine in which only one rotor is active.
  • the dashed line shows that the C p -X curve changes when the rotor is generating power near another active rotor.
  • An active rotor changes the local air stream and pressure profiles.
  • the C p -A curve is shifted even more, as is shown by the solid line in Figure 4.
  • each rotor 1 10-140 are not determined by its own production controller 1 15-145 and its own operational parameters.
  • the relevant operational parameters of each rotor 1 10-140 are sent to a central optimal operation manager 200, which is then able to determine the optimal control settings for each individual rotor 1 10-140 based on the combined operational data of all the rotors 1 10-140.
  • the optimal operation manager 200 has access to a large set of lookup tables 210 and/or modelling functions 210 that describe the relations between the aerodynamic performance and operational parameters of the rotors.
  • Relevant operational parameters of a rotor are its blade pitch, yaw angle, rotational speed, thrust and power output.
  • Wind speed can be seen as an operational parameter because it defines the context in which the rotor is operating and relations between different operational parameters, such as rotational speed and tip speed ratio.
  • Historical data of the operational parameters can optionally be stored and used by the optimal operation manager, in order to account for dynamic effects.
  • One of the operational parameters to take into account may be a rotor activity pattern, indicating which rotors are active, not running at full capacity or down for maintenance, safety or other reasons. As shown in Figure 4, different activity patterns lead to different optimal blade pitch and tip speed ratios. The activity patterns are derivable from the combined operational parameters of the individual rotors.
  • Figure 5 shows a flow diagram of a method according to the invention.
  • the method comprises an input step 51 , a processing step 52 and a control step 53.
  • the optimal operation manager 200 receives, from the respective production controllers 115-145 of the at least two rotors 110-140, operational data representative of a current power output of the rotors 110-140.
  • the optimal operation manager 200 determines optimal control settings for each rotor 110-140, based on the received operational data and the aerodynamic performance data 210 that is stored in or accessible by the optimal operation manager.
  • the same or similar aerodynamic performance data may be used for improving the accuracy of, e.g., a wind speed estimator or other .

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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)
  • Wind Motors (AREA)

Abstract

L'invention concerne un procédé de commande d'une éolienne multi-rotor. Le procédé comprend une étape de réception, à l'aide de contrôleurs de production respectifs (115, 125, 145), de données opérationnelles représentatives d'une sortie de puissance actuelle des rotors respectifs (110, 120, 130, 140). Un profil d'activité de rotor est déterminé sur la base des données opérationnelles de chacun des rotors (110, 120, 130, 140), et pour chaque rotor (110, 120, 130, 140), des réglages de commande optimaux sont déterminés et soumis aux contrôleurs de production respectifs (115, 125, 145). Les réglages de commande optimaux sont déterminés sur la base du profil d'activité de rotor et des données de performance aérodynamique (210). Les données de performance aérodynamiques (210) dépendent du profil d'activité de rotor. Lorsque le rotor respectif fonctionne à un rapport de vitesse de pointe constante, ce rapport dépendra du profil d'activité de rotor.
PCT/DK2018/050190 2017-08-16 2018-08-03 Stratégie de commande d'éolienne multi-rotor basée sur un état opérationnel WO2019034218A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DKPA201770621 2017-08-16
DKPA201770621 2017-08-16

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WO2019034218A1 true WO2019034218A1 (fr) 2019-02-21

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112664390A (zh) * 2020-12-22 2021-04-16 中国华能集团清洁能源技术研究院有限公司 一种串列式双风轮风电机组四级分层递阶控制方法
CN115839312A (zh) * 2021-09-18 2023-03-24 中国华能集团清洁能源技术研究院有限公司 双风轮风能转换装置的控制方法及装置
CN115839308A (zh) * 2021-09-18 2023-03-24 中国华能集团清洁能源技术研究院有限公司 双风轮风能转换装置的启动控制方法及装置
US20230120533A1 (en) * 2020-03-10 2023-04-20 Vestas Wind Systems A/S A method for controlling a multirotor wind turbine

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3032095A1 (fr) * 2014-12-10 2016-06-15 ALSTOM Renewable Technologies Procédé de fonctionnement d'une éolienne et éoliennes
WO2016128002A1 (fr) * 2015-02-12 2016-08-18 Vestas Wind Systems A/S Système de commande comportant des organes de commande centrale et locale pour système d'éoliennes à multiples rotors
WO2016150447A1 (fr) * 2015-03-23 2016-09-29 Vestas Wind Systems A/S Commande d'un système d'éolienne à rotors multiples utilisant un dispositif de commande central pour calculer des objectifs de commande locaux
WO2017092762A1 (fr) * 2015-11-30 2017-06-08 Vestas Wind Systems A/S Système de commande pour turbine éolienne ayant de multiples rotors

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3032095A1 (fr) * 2014-12-10 2016-06-15 ALSTOM Renewable Technologies Procédé de fonctionnement d'une éolienne et éoliennes
WO2016128002A1 (fr) * 2015-02-12 2016-08-18 Vestas Wind Systems A/S Système de commande comportant des organes de commande centrale et locale pour système d'éoliennes à multiples rotors
WO2016150447A1 (fr) * 2015-03-23 2016-09-29 Vestas Wind Systems A/S Commande d'un système d'éolienne à rotors multiples utilisant un dispositif de commande central pour calculer des objectifs de commande locaux
WO2017092762A1 (fr) * 2015-11-30 2017-06-08 Vestas Wind Systems A/S Système de commande pour turbine éolienne ayant de multiples rotors

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20230120533A1 (en) * 2020-03-10 2023-04-20 Vestas Wind Systems A/S A method for controlling a multirotor wind turbine
CN112664390A (zh) * 2020-12-22 2021-04-16 中国华能集团清洁能源技术研究院有限公司 一种串列式双风轮风电机组四级分层递阶控制方法
CN112664390B (zh) * 2020-12-22 2021-08-31 中国华能集团清洁能源技术研究院有限公司 一种串列式双风轮风电机组四级分层递阶控制方法
CN115839312A (zh) * 2021-09-18 2023-03-24 中国华能集团清洁能源技术研究院有限公司 双风轮风能转换装置的控制方法及装置
CN115839308A (zh) * 2021-09-18 2023-03-24 中国华能集团清洁能源技术研究院有限公司 双风轮风能转换装置的启动控制方法及装置

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