WO2013023702A1 - Method to regulate the output power production of a wind turbine - Google Patents

Method to regulate the output power production of a wind turbine Download PDF

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Publication number
WO2013023702A1
WO2013023702A1 PCT/EP2011/064234 EP2011064234W WO2013023702A1 WO 2013023702 A1 WO2013023702 A1 WO 2013023702A1 EP 2011064234 W EP2011064234 W EP 2011064234W WO 2013023702 A1 WO2013023702 A1 WO 2013023702A1
Authority
WO
WIPO (PCT)
Prior art keywords
wind turbine
estimated
wind
output power
load
Prior art date
Application number
PCT/EP2011/064234
Other languages
French (fr)
Inventor
Per Egedal
Hans Laurberg
Original Assignee
Siemens Aktiengesellschaft
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 Siemens Aktiengesellschaft filed Critical Siemens Aktiengesellschaft
Priority to PCT/EP2011/064234 priority Critical patent/WO2013023702A1/en
Publication of WO2013023702A1 publication Critical patent/WO2013023702A1/en

Links

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
    • F03D7/028—Controlling wind motors  the wind motors having rotation axis substantially parallel to the air flow entering the rotor controlling wind motor output power
    • F03D7/0284—Controlling wind motors  the wind motors having rotation axis substantially parallel to the air flow entering the rotor controlling wind motor output power in relation to the state of the electric grid
    • 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
    • F03D7/028—Controlling wind motors  the wind motors having rotation axis substantially parallel to the air flow entering the rotor controlling wind motor output power
    • F03D7/0292—Controlling wind motors  the wind motors having rotation axis substantially parallel to the air flow entering the rotor controlling wind motor output power to reduce fatigue
    • 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
    • F05B2260/82—Forecasts
    • F05B2260/821—Parameter estimation or prediction
    • 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
    • F05B2270/10—Purpose of the control system
    • F05B2270/103—Purpose of the control system to affect the output of the engine
    • F05B2270/1033—Power (if explicitly mentioned)
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
    • F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
    • F05B2270/00—Control
    • F05B2270/30—Control parameters, e.g. input parameters
    • F05B2270/32—Wind speeds
    • 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
    • F05B2270/331—Mechanical loads
    • 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
    • F05B2270/332—Maximum loads or fatigue criteria
    • 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
    • F05B2270/337—Electrical grid status parameters, e.g. voltage, frequency or power demand
    • 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 a method to regulate the output power production of a wind turbine with respect to the market price of the electricity and with respect to the life time of components of the wind turbine.
  • TLC Total Cost Control
  • the TLC is prepared to monitor the major wind turbine components in view to their lapsed lifetime. Based on this result the wind turbine may be "down regulated” in view to its output power to extend the lifetime of the components if needed.
  • stress and loads, which are acting on the components of the wind turbine are reduced in their effects.
  • the whole wind turbine withstands the ambient influ- ences longer and thus its lifetime is prolonged.
  • the document US 6 850 821 B2 discloses a deliberatelyCONTROL SYSTEM FOR A WIND POWER PLANT".
  • the system includes a damage module and a contral module.
  • the damage module compares existing stress conditions on one or more component parts of the wind power plant to current energy generating costs.
  • the contral module alters electric power generated by the wind power plant based upon the comparison.
  • the output power production of a wind turbine is regulated.
  • a wind speed is estimated for the wind turbine based on local meteorological data, which are allocated to the wind turbine site.
  • a load which acts on at least one component of the wind turbine, is estimated based on the estimated wind speed.
  • a lifetime consumption of the component is estimated based on the estimated load.
  • the output power of the wind turbine is estimated based on the estimated wind speed.
  • a reference value is calculated, which takes into account the market price of the estimated output power and the estimated lifetime consumption.
  • Settings of the wind turbine are adjusted to increase or to decrease the out ⁇ put power production of the wind turbine based on the refer ⁇ ence value. Summarized: the calculated reference value influences the lifetime consumption of the wind turbine component (s) via the increased or decreased output power. This is done in regard to a beneficial gain in view to the market price of the out ⁇ put power.
  • the method invented provides a new evaluated balance between the lifetime of the wind turbine and the amount of money, be ⁇ ing generated by the market price of the output power of the wind turbine.
  • the owner of the wind turbine receives an optimum oper ⁇ ating time of the wind turbine (even in the "down regulated output power mode") with respect to an optimized benefit from the produced and sold electricity.
  • the method invented predicts load rates of wind turbine com ⁇ ponents in a way that the "Turbine Load Control, TLC" is not in conflict with the efforts of a "smart grid”.
  • the method invented shows a novel way to implement and use the TLC while no further changes needs to be done at the wind turbine .
  • FIG. 1 A first figure.
  • the first block is called "Weather Forecast”. This block is used to estimate the wind speed for a dedicated wind turbine based on local meteorological data. The data are allocated to the site of the dedicated wind turbine.
  • the "Weather Forecast”-block comprises a well known and traditional mean wind speed estimator.
  • the second block is called “Load Forecast” and is used to es ⁇ timate a load, which acts on at least one component of the wind turbine. This estimation is based on the estimated wind speed .
  • the third block is called "Bidding" and is used to calculate a reference value, which takes into account the market price of the estimated output power and the estimated lifetime con- sumption.
  • the fourth block is called “Control” and is used to adjust the settings of the wind turbine, specified by the fifth block named “Wind Turbine”.
  • the settings are adjusted to in ⁇ crease or to decrease the output power production of the wind turbine based on the reference value.
  • the method invented is explained now by help of a physical model, which refers to the FIG 1.
  • a metrological estimator is used to estimate one or several wind parameters (e.g. the mean wind speed, turbulences, wind variances, the wind direction, the air density, the tempera ⁇ ture, etc.
  • the knowledge of other wind turbines is additionally used to estimate local weather phenomena (i.e. wake, inflow angle and wind share) .
  • a physical model of the wind turbine is now set in view to an estimated wind field, which approaches the wind turbine.
  • the loads, acting on all major components, are estimated for all control strategies of the wind turbine.
  • the model is updated time by time - especially for the point of time where the wind turbine settings are set for a start-operation of the wind turbine.
  • the forecast preferably uses these parameters:
  • the load-forecast h() is preferably based on a "Metrological Parkmodel", which uses metrological data directly to estimate load rates of dedicated components of the wind turbine.
  • the load rate is a function of the output- power, the mean wind and of the turbulence. This function is known by the manufacture of the wind turbine.
  • the load-forecast is preferably based on a "Metrological- Turbine Model", using knowledge of the local area of the wind turbine. This model allows a more precise prediction of load rates. Examples of local condition can be hills, trees, tur ⁇ bines in the neighborhood of the dedicated wind turbine, etc . These functions show the dependencies for this model:
  • Windshare g (wind direction)
  • Load Rate f (power, mean wind, turbulence, windshare, con ⁇ trol option)
  • the control option can be different ways of controlling the wind turbine. It could be curtailed, or have some grid ser ⁇ vices enabled
  • the function g can be estimated using so called "siting tools".
  • the function f is known by the wind turbine manufac- turer.
  • the load-forecast is preferably based on a "Metrological- Turbine Data" model.
  • the method gathers all data driven meth ⁇ ods - i.e. all methods where the function h() is estimated using historical data.
  • Load Rate h (power, Mean wind speed, turbulence, air den ⁇ sity, wind direction, control option)
  • h() It is even possible to use a neural network to estimate the function h() .
  • the training of h() may use the model from one of the examples above as starting point.
  • the estimated lifetime consumption depends on the power pro ⁇ duction in a non-linear way.

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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

The invention relates to a method to regulate the output power production of a wind turbine with respect to the market price of the electricity and with respect to the life time of components of the wind turbine. According to the method invented the output power production of a wind turbine is regulated. A wind speed is estimated for the wind turbine based on local meteorological data, which are allocated to the wind turbine site. A load, which acts on at least one component of the wind turbine, is estimated based on the estimated wind speed. A lifetime consumption of the component is estimated based on the estimated load. The output power of the wind turbine is estimated based on the estimated wind speed. A reference value is calculated, which takes into account the market price of the estimated output power and the estimated lifetime consumption. Settings of the wind turbine are adjusted to increase or to decrease the output power production of the wind turbine based on the reference value.

Description

Description
Method to regulate the output power production of a wind tur¬ bine
The invention relates to a method to regulate the output power production of a wind turbine with respect to the market price of the electricity and with respect to the life time of components of the wind turbine.
It is known to use a so called "Turbine Load Control, TLC" at a wind turbine. The TLC is prepared to monitor the major wind turbine components in view to their lapsed lifetime. Based on this result the wind turbine may be "down regulated" in view to its output power to extend the lifetime of the components if needed. Thus stress and loads, which are acting on the components of the wind turbine, are reduced in their effects. The whole wind turbine withstands the ambient influ- ences longer and thus its lifetime is prolonged.
On the other hand a certain reduction of the output power leads to a reduced gain and benefit as less energy is pro¬ duced and sold.
The document US 6 850 821 B2 discloses a „CONTROL SYSTEM FOR A WIND POWER PLANT". The system includes a damage module and a contral module. The damage module compares existing stress conditions on one or more component parts of the wind power plant to current energy generating costs. The contral module alters electric power generated by the wind power plant based upon the comparison.
It is the aim of the invention to provide an improved method to regulate the output power production of a wind turbine in view to the lifetime of the wind turbine and even in view to the benefit, which is caused by the market price of the sold output power. This aim is solved by the features of claim 1.
Preferred configurations are object of the dependent claims. According to the method invented the output power production of a wind turbine is regulated. A wind speed is estimated for the wind turbine based on local meteorological data, which are allocated to the wind turbine site. A load, which acts on at least one component of the wind turbine, is estimated based on the estimated wind speed. A lifetime consumption of the component is estimated based on the estimated load. The output power of the wind turbine is estimated based on the estimated wind speed. A reference value is calculated, which takes into account the market price of the estimated output power and the estimated lifetime consumption. Settings of the wind turbine are adjusted to increase or to decrease the out¬ put power production of the wind turbine based on the refer¬ ence value. Summarized: the calculated reference value influences the lifetime consumption of the wind turbine component (s) via the increased or decreased output power. This is done in regard to a beneficial gain in view to the market price of the out¬ put power.
The method invented provides a new evaluated balance between the lifetime of the wind turbine and the amount of money, be¬ ing generated by the market price of the output power of the wind turbine.
Thus the owner of the wind turbine receives an optimum oper¬ ating time of the wind turbine (even in the "down regulated output power mode") with respect to an optimized benefit from the produced and sold electricity.
The method invented predicts load rates of wind turbine com¬ ponents in a way that the "Turbine Load Control, TLC" is not in conflict with the efforts of a "smart grid". The method invented shows a novel way to implement and use the TLC while no further changes needs to be done at the wind turbine .
The invention is shown in more detail by help of figure
FIG 1.
The figure shows a preferred configuration and does not limit the scope of the invention.
There are five blocks, which interacts according to the method invented. The first block is called "Weather Forecast". This block is used to estimate the wind speed for a dedicated wind turbine based on local meteorological data. The data are allocated to the site of the dedicated wind turbine.
Even the output power of the wind turbine is estimated there based on the estimated wind speed.
The "Weather Forecast"-block comprises a well known and traditional mean wind speed estimator. The second block is called "Load Forecast" and is used to es¬ timate a load, which acts on at least one component of the wind turbine. This estimation is based on the estimated wind speed .
Even a lifetime consumption of the component is estimated based on the estimated load.
The third block is called "Bidding" and is used to calculate a reference value, which takes into account the market price of the estimated output power and the estimated lifetime con- sumption.
The fourth block is called "Control" and is used to adjust the settings of the wind turbine, specified by the fifth block named "Wind Turbine". The settings are adjusted to in¬ crease or to decrease the output power production of the wind turbine based on the reference value. The method invented is explained now by help of a physical model, which refers to the FIG 1.
A metrological estimator is used to estimate one or several wind parameters (e.g. the mean wind speed, turbulences, wind variances, the wind direction, the air density, the tempera¬ ture, etc.
This knowledge is combined with a local wind model, which uses local geographic data and even the output power produc- tion of at least one dedicated wind turbine.
Preferably the knowledge of other wind turbines (i.e. of a wind park) is additionally used to estimate local weather phenomena (i.e. wake, inflow angle and wind share) .
A physical model of the wind turbine is now set in view to an estimated wind field, which approaches the wind turbine.
The loads, acting on all major components, are estimated for all control strategies of the wind turbine.
Preferably the model is updated time by time - especially for the point of time where the wind turbine settings are set for a start-operation of the wind turbine.
It is assumed that there is a metrological forecast available in the area of the wind turbine or related to the site of the wind turbine. The forecast preferably uses these parameters:
- the mean wind speed,
- turbulences,
- air density, - the wind direction,
- the wind direction stability, and
- the maximum wind speed. The load-forecast h() is preferably based on a "Metrological Parkmodel", which uses metrological data directly to estimate load rates of dedicated components of the wind turbine.
As an example the load rate is a function of the output- power, the mean wind and of the turbulence. This function is known by the manufacture of the wind turbine.
The load-forecast is preferably based on a "Metrological- Turbine Model", using knowledge of the local area of the wind turbine. This model allows a more precise prediction of load rates. Examples of local condition can be hills, trees, tur¬ bines in the neighborhood of the dedicated wind turbine, etc . These functions show the dependencies for this model:
Windshare = g (wind direction)
Load Rate = f (power, mean wind, turbulence, windshare, con¬ trol option)
The control option can be different ways of controlling the wind turbine. It could be curtailed, or have some grid ser¬ vices enabled
The function g can be estimated using so called "siting tools". The function f is known by the wind turbine manufac- turer.
The load-forecast is preferably based on a "Metrological- Turbine Data" model. The method gathers all data driven meth¬ ods - i.e. all methods where the function h() is estimated using historical data.
For example the load rate is calculated according to this function : Load Rate = h (power, Mean wind speed, turbulence, air den¬ sity, wind direction, control option)
It is even possible to use a neural network to estimate the function h() . The training of h() may use the model from one of the examples above as starting point.
The next comment is related to the "Bidding" block.
The estimated lifetime consumption depends on the power pro¬ duction in a non-linear way.
Given a reference for the quotient electricity price/lifetime it is possible to find a reference value price as a function of the market price of the output power price.
The next comment is related to the "Control" block.
Given a promised power generation it is possible to change the allowed lifetime consumption for a fixed period.

Claims

Patent claims
1. Method to regulate the output power production of a wind turbine
- wherein a wind speed is estimated for the wind turbine based on local meteorological data, which are allocated to the wind turbine site,
- wherein a load, which acts on at least one component of the wind turbine, is estimated based on the estimated wind speed,
- wherein a lifetime consumption of the component is esti¬ mated based on the estimated load,
- wherein the output power of the wind turbine is esti¬ mated based on the estimated wind speed,
- wherein a reference value is calculated, which takes into account the market price of the estimated output power and the estimated lifetime consumption,
- wherein settings of the wind turbine are adjusted to in¬ crease or to decrease the output power production of the wind turbine based on the reference value.
2. Method according to claim 1, wherein the reference value is used to adjust settings of one or more wind turbines of a wind power plant.
3. Method according to claim 1 or claim 2, wherein the estimation of the lifetime consumption of the component is done in regard to a given time period.
PCT/EP2011/064234 2011-08-18 2011-08-18 Method to regulate the output power production of a wind turbine WO2013023702A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/EP2011/064234 WO2013023702A1 (en) 2011-08-18 2011-08-18 Method to regulate the output power production of a wind turbine

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/EP2011/064234 WO2013023702A1 (en) 2011-08-18 2011-08-18 Method to regulate the output power production of a wind turbine

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Publication Number Publication Date
WO2013023702A1 true WO2013023702A1 (en) 2013-02-21

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Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018073688A1 (en) * 2016-10-17 2018-04-26 Romax Technology Limited Determining loads on a wind turbine
EP2868918B1 (en) 2013-10-31 2018-12-12 General Electric Company System and method for controlling a wind turbine
US10539116B2 (en) 2016-07-13 2020-01-21 General Electric Company Systems and methods to correct induction for LIDAR-assisted wind turbine control
WO2020115229A1 (en) * 2018-12-06 2020-06-11 Wobben Properties Gmbh Method for operating at least one wind turbine, and device therefor
US10746160B2 (en) 2015-06-30 2020-08-18 Vestas Wind Systems A/S Methods and systems for generating wind turbine control schedules
US10871146B2 (en) 2015-06-30 2020-12-22 Vestas Wind Systems A/S Methods and systems for generating wind turbine control schedules
US10928816B2 (en) 2015-06-30 2021-02-23 Vestas Wind Systems A/S Methods and systems for generating wind turbine control schedules
US10975844B2 (en) 2015-06-30 2021-04-13 Vestas Wind Systems A/S Methods and systems for generating wind turbine control schedules
US11428208B2 (en) 2015-06-30 2022-08-30 Vestas Wind Systems A/S Methods and systems for generating wind turbine control schedules
EP4357610A1 (en) * 2022-10-19 2024-04-24 Wobben Properties GmbH Method for operating a wind turbine

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Publication number Priority date Publication date Assignee Title
US6850821B2 (en) 2000-03-09 2005-02-01 General Electric Company Control system for a wind power plant
US20100158687A1 (en) * 2008-12-19 2010-06-24 Frontier Wind, Llc Control Modes for Extendable Rotor Blades
EP2267305A2 (en) * 2009-06-24 2010-12-29 Vestas Wind Systems A/S A method and a system for controlling operation of a wind turbine
EP2302208A1 (en) * 2009-09-23 2011-03-30 Siemens Aktiengesellschaft Dynamic adaptation of a set point for a fatigue life of a structural component of a power generating machine
WO2011095519A2 (en) * 2010-02-05 2011-08-11 Vestas Wind Systems A/S Method of operating a wind power plant

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6850821B2 (en) 2000-03-09 2005-02-01 General Electric Company Control system for a wind power plant
US20100158687A1 (en) * 2008-12-19 2010-06-24 Frontier Wind, Llc Control Modes for Extendable Rotor Blades
EP2267305A2 (en) * 2009-06-24 2010-12-29 Vestas Wind Systems A/S A method and a system for controlling operation of a wind turbine
EP2302208A1 (en) * 2009-09-23 2011-03-30 Siemens Aktiengesellschaft Dynamic adaptation of a set point for a fatigue life of a structural component of a power generating machine
WO2011095519A2 (en) * 2010-02-05 2011-08-11 Vestas Wind Systems A/S Method of operating a wind power plant

Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2868918B1 (en) 2013-10-31 2018-12-12 General Electric Company System and method for controlling a wind turbine
US10975844B2 (en) 2015-06-30 2021-04-13 Vestas Wind Systems A/S Methods and systems for generating wind turbine control schedules
US10746160B2 (en) 2015-06-30 2020-08-18 Vestas Wind Systems A/S Methods and systems for generating wind turbine control schedules
US10871146B2 (en) 2015-06-30 2020-12-22 Vestas Wind Systems A/S Methods and systems for generating wind turbine control schedules
US10928816B2 (en) 2015-06-30 2021-02-23 Vestas Wind Systems A/S Methods and systems for generating wind turbine control schedules
US11428208B2 (en) 2015-06-30 2022-08-30 Vestas Wind Systems A/S Methods and systems for generating wind turbine control schedules
US10539116B2 (en) 2016-07-13 2020-01-21 General Electric Company Systems and methods to correct induction for LIDAR-assisted wind turbine control
CN110023621A (en) * 2016-10-17 2019-07-16 诺迈士科技有限公司 Determine the load on wind turbine
JP2019532215A (en) * 2016-10-17 2019-11-07 ロマックス テクノロジー リミテッド How to determine the load on a wind turbine
WO2018073688A1 (en) * 2016-10-17 2018-04-26 Romax Technology Limited Determining loads on a wind turbine
CN110023621B (en) * 2016-10-17 2024-01-02 诺迈士科技有限公司 Determining load on wind turbine
WO2020115229A1 (en) * 2018-12-06 2020-06-11 Wobben Properties Gmbh Method for operating at least one wind turbine, and device therefor
US11686287B2 (en) 2018-12-06 2023-06-27 Wobben Properties Gmbh Method of operating at least one wind turbine, and device therefor
EP4357610A1 (en) * 2022-10-19 2024-04-24 Wobben Properties GmbH Method for operating a wind turbine

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