EP3931643A1 - Procédé et système de commande d'une installation d'éoliennes - Google Patents

Procédé et système de commande d'une installation d'éoliennes

Info

Publication number
EP3931643A1
EP3931643A1 EP20711796.1A EP20711796A EP3931643A1 EP 3931643 A1 EP3931643 A1 EP 3931643A1 EP 20711796 A EP20711796 A EP 20711796A EP 3931643 A1 EP3931643 A1 EP 3931643A1
Authority
EP
European Patent Office
Prior art keywords
wind
wind turbine
value
determined
control parameter
Prior art date
Legal status (The legal status 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 status listed.)
Withdrawn
Application number
EP20711796.1A
Other languages
German (de)
English (en)
Inventor
Hennig Harden
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Siemens Gamesa Renewable Energy Service GmbH
Original Assignee
Siemens Gamesa Renewable Energy Service GmbH
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 Gamesa Renewable Energy Service GmbH filed Critical Siemens Gamesa Renewable Energy Service GmbH
Publication of EP3931643A1 publication Critical patent/EP3931643A1/fr
Withdrawn legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • 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
    • F03D7/046—Automatic control; Regulation by means of an electrical or electronic controller characterised by the type of control logic with learning or adaptive control, e.g. self-tuning, fuzzy logic or neural network
    • 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
    • F03D7/0244—Controlling wind motors  the wind motors having rotation axis substantially parallel to the air flow entering the rotor for braking
    • 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
    • F03D7/026—Controlling wind motors  the wind motors having rotation axis substantially parallel to the air flow entering the rotor for starting-up
    • 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
    • F05B2270/335—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

Definitions

  • the object of the present invention is to improve the operation, in particular the perforation of individual wind energy installations or a wind energy installation arrangement which includes me wind energy installations.
  • a method for a wind energy installation which one or more wind energy installations in particular consists of, comprises the steps:
  • the at least one intensity value depends on a standard deviation and a mean value of a speed and / or a
  • Wind energy installation arrangement based on the control parameter value
  • the method has the step of ensuring compliance with a predetermined one Execution of multidimensional or multidimensional, permissible area of the
  • a wind turbine controller can limit such a control parameter value to a, in particular, closest control parameter value within the specified permissible range or discard the inadmissible control parameter value and, in one embodiment, instead, for example, use a conventionally determined or standard -use control parameter value.
  • a computer program product can have, in particular, a non-volatile storage medium for storing a program or with a program stored thereon, execution of this program causing a system or a controller, in particular a computer, to create a to carry out the method described here or one or more of its steps.
  • a system or a controller in particular a computer
  • steps of the method are carried out completely or partially automatically, in particular by the system or its means.
  • a method according to the invention is at least partially virtualized or carried out in a virtualized environment.
  • one or more means and / or the artificial intelligence are virtualized in one embodiment
  • Performance curves of Fig. 2; and 4 a method for controlling the wind turbine arrangement according to an embodiment of the present invention.
  • the controls of the wind turbines 10, 20, 30, 40, 50 communicate with an artificial intelligence 100, which can have one or more neural networks, for example.
  • the artificial intelligence 100 can be installed in a park server of the wind park.
  • data of the controls can also be exchanged via a VPN connection with a trustworthy private network in the cloud and the artificial intelligence 100 can be implemented there at least partially, virtualized in one embodiment.
  • pairs of values are determined from a first variable in the form of an amount of a wind speed and a second variable in the form of a power of the wind energy installations (arrangement).
  • Wind speed values are entered on the abscissa and power values on the ordinate.
  • intensity values are determined in the form of ratios of a standard deviation to an average value of a speed and / or a torque, in particular blade bending torque and / or rotor torque, of the wind turbines and the wind speed, so to speak analogously to the known per se

Landscapes

  • Engineering & Computer Science (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Wind Motors (AREA)

Abstract

L'invention concerne un procédé pour commander une installation d'éoliennes comportant au moins une éolienne (10, 20, 30, 40, 50), comprenant les étapes consistant à: - déterminer (S10) des paires de valeurs à partir d'une première quantité qui dépend de la vitesse du vent et d'une deuxième quantité qui dépend de la puissance de l'éolienne ; et - déterminer (S20) des valeurs propres (λ 1,... λ'2) et/ou des vecteurs propres (e 1,...e'2) d'une matrice de covariance des paires de valeurs déterminées ; et/ou l'étape consistant à: - déterminer (S30) au moins une valeur d'intensité dépendant d'un écart type et d'une valeur moyenne d'une vitesse de rotation et/ou d'un couple de l'ensemble éolienne et/ou d'une vitesse du vent, le procédé comprenant les étapes suivantes : - déterminer (S40) une valeur d'un paramètre de commande du système d'éoliennes au moyen d'une intelligence artificielle (100) sur la base des valeurs propres et/ou vecteurs propres déterminés et/ou de l'au moins une valeur d'intensité; et - commander (S50) l'installation d'éoliennes sur la base de la valeur du paramètre de commande.
EP20711796.1A 2019-02-26 2020-02-26 Procédé et système de commande d'une installation d'éoliennes Withdrawn EP3931643A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102019001356.5A DE102019001356A1 (de) 2019-02-26 2019-02-26 Verfahren und System zum Steuern einer Windenergieanlagenordnung
PCT/EP2020/055033 WO2020174007A1 (fr) 2019-02-26 2020-02-26 Procédé et système de commande d'une installation d'éoliennes

Publications (1)

Publication Number Publication Date
EP3931643A1 true EP3931643A1 (fr) 2022-01-05

Family

ID=69845325

Family Applications (1)

Application Number Title Priority Date Filing Date
EP20711796.1A Withdrawn EP3931643A1 (fr) 2019-02-26 2020-02-26 Procédé et système de commande d'une installation d'éoliennes

Country Status (4)

Country Link
US (1) US20220145857A1 (fr)
EP (1) EP3931643A1 (fr)
DE (1) DE102019001356A1 (fr)
WO (1) WO2020174007A1 (fr)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102018002916A1 (de) * 2018-04-10 2019-10-10 Senvion Gmbh Verfahren, Vorrichtung und Computerprogrammprodukt zum Betrieb einer oder mehrerer Windenergieanlagen
EP3792483A1 (fr) * 2019-09-16 2021-03-17 Siemens Gamesa Renewable Energy A/S Commande d'éolienne basée sur l'apprentissage par renforcement
EP3792484A1 (fr) * 2019-09-16 2021-03-17 Siemens Gamesa Renewable Energy A/S Commande de décalage de lacet d'éolienne basée sur l'apprentissage par renforcement
CN115478991B (zh) * 2022-09-21 2023-04-28 中节能风力发电股份有限公司 风电机组功率曲线形态异常的检测方法、设备及介质

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
ES2701707T3 (es) * 2007-05-03 2019-02-25 Siemens Ag Procedimiento de funcionamiento de un aerogenerador y aerogenerador
DE102007022705A1 (de) * 2007-05-15 2008-11-20 Siemens Ag Verfahren zum Betrieb eines Windparks mit einer Mehrzahl von Windkraftanlagen
US8093737B2 (en) * 2008-05-29 2012-01-10 General Electric Company Method for increasing energy capture in a wind turbine
DE102011119942A1 (de) * 2011-12-01 2013-06-06 Powerwind Gmbh Verfahren zum Betreiben einer Windenergieanlage und zur Ausübung des Verfahrens befähigte Windenergieanlage
US8890349B1 (en) * 2012-01-19 2014-11-18 Northern Power Systems, Inc. Load reduction system and method for a wind power unit
US9347430B2 (en) * 2013-04-12 2016-05-24 King Fahd University Of Petroleum And Minerals Adaptive pitch control system for wind generators
DE102014117918A1 (de) * 2014-12-04 2016-06-09 fos4X GmbH Verfahren zur individuellen Pitchregelung von Rotorblättern einer Windkraftanlage, Beschleunigungssensor für ein Rotorblatt, Rotorblatt mit Beschleunigungssensor, ein Rotor einer Windkraftanlage und Windkraftanlagen
CN109345143B (zh) * 2018-11-12 2022-01-11 国电联合动力技术有限公司 智能风机运行状态评价方法、装置及风电机组

Also Published As

Publication number Publication date
US20220145857A1 (en) 2022-05-12
DE102019001356A1 (de) 2020-08-27
WO2020174007A1 (fr) 2020-09-03

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