WO2003106838A1 - Procede de regulation de la production d'electricite dans des aerogenerateurs - Google Patents

Procede de regulation de la production d'electricite dans des aerogenerateurs Download PDF

Info

Publication number
WO2003106838A1
WO2003106838A1 PCT/ES2003/000288 ES0300288W WO03106838A1 WO 2003106838 A1 WO2003106838 A1 WO 2003106838A1 ES 0300288 W ES0300288 W ES 0300288W WO 03106838 A1 WO03106838 A1 WO 03106838A1
Authority
WO
WIPO (PCT)
Prior art keywords
wind
control
production
wind turbine
meteorological
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.)
Ceased
Application number
PCT/ES2003/000288
Other languages
English (en)
Spanish (es)
Inventor
Mariano SANZ BADÍA
Francisco J. VAL TOMÁS
Andrés LLOMBART ESTOPIÑÁN
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.)
Made Tecnologias Renovables SA
Original Assignee
Made Tecnologias Renovables SA
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 Made Tecnologias Renovables SA filed Critical Made Tecnologias Renovables SA
Priority to AU2003240859A priority Critical patent/AU2003240859A1/en
Publication of WO2003106838A1 publication Critical patent/WO2003106838A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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
    • F03D7/04—Automatic control; Regulation
    • F03D7/042—Automatic control; Regulation by means of an electrical or electronic controller
    • 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 
    • 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
    • F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
    • 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
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
    • G01P5/00—Measuring speed of fluids, e.g. of air stream; Measuring speed of bodies relative to fluids, e.g. of ship, of aircraft
    • G01P5/02—Measuring speed of fluids, e.g. of air stream; Measuring speed of bodies relative to fluids, e.g. of ship, of aircraft by measuring forces exerted by the fluid on solid bodies, e.g. anemometer
    • 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
    • G05B17/00—Systems involving the use of models or simulators of said systems
    • 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
    • F05B2270/321—Wind directions
    • 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 present invention relates to a new method for the productive control of electric wind turbines that are part of a wind farm, in order to detect any anomalous variation in production and, in addition, obtain information to perform proper maintenance.
  • the object of the invention is to achieve an automated control of the production of wind turbines, with a minimum number of meteorological towers (it is estimated that they may be of the order of a meteorological tower every 50 to 100 wind turbines).
  • the analysis of the performance of an electric wind turbine currently involves knowing exactly the density and wind speed that affects its blades. These data, together with the power curve of the machine, allow estimating the theoretical output that can be be compared with the measurement by the wind turbine wattmeter, and thus, perform a quality control of the production, or what is the same, a detection of anomalous production variations, or an evaluation of the machine's performance.
  • the first one consists in taking as valid wind speed data for each wind turbine the one that marks the gondola anemometer. With this data the production is calculated from the power curve and compared with the value received from production. This operation is carried out continuously taking the average of the values used every ten minutes.
  • the second is based on the realization of simulations with WASP-type programs, of wind production analysis, for monthly periods (the periodicity can change between the week or two months) and compare the data obtained with the actual production. This process cannot be automated and must be performed by a specialized technician.
  • the first of the methods takes as valid a data that due to the turbulence produced by the passage of the blades does not faithfully represent the wind speed at the entrance of the wind turbine, so its validity is very questionable.
  • the second is based on simulations carried out with programs for which it has been shown on numerous occasions that they are extremely inaccurate in their calculations when it comes to rough terrain, as in the vast majority of cases of parks located on mountainous terrain ( a type of site widely used for the location of wind farms).
  • This process value is usually “the maximum of the process value (maximum production)
  • This production reference value is usually referred to as a setpoint or reference.
  • the method for production control in electric wind turbines that the invention proposes solves in a fully satisfactory way the above-mentioned problem, simultaneously achieving two objectives: on the one hand it achieves automatic production quality detection and on the other it uses a minimum number of meteorological towers , with the consequent simplification that this implies for the installation.
  • the method consists in relating the power of each wind turbine with the speed and direction of the wind, as well as its temperature and atmospheric pressure, in a meteorological tower, more or less remote from the wind turbine.
  • control system continuously compares, during the operation of the park, the data of real production with the derivatives of the obtained relation, through a statistical quality control method.
  • control system If at any time an abnormal variation in the production of any of the wind turbines is detected, the control system generates the relevant alarms and warnings.
  • the method of the invention allows a rapid diagnosis of the modifications introduced in a given wind turbine model, reducing the time and costs of such a diagnostic process.
  • Figure 1 shows a scheme of fragmentation in sectors of a wind farm, which serves to exemplify the method but does not correspond to any real example.
  • Figure 2.- Shows an outline of the method learning process.
  • the method consists in relating the power produced by the wind turbine with the wind speed blowing at that moment, preferably measured in a meteorological tower (that of the wind farm) that is found in most of cases at a distance from the wind turbine (it is not a dedicated weather tower).
  • the data of the power produced will be corrected in density, for this the methods proposed by the IEC 61400-12 standard will be preferably used.
  • the data segmentation method in sectors works in such a way that a distribution function is calculated for each of the sectors.
  • the sectors are preferably defined by a partition of 5 or in the wind direction and 0.5 m / s in the same speed.
  • a meteorological tower will be used to determine the sectors of each wind turbine, although it is possible that depending on the layout of the park's elements, several meteorological towers can be used to optimize the control system.
  • a total of 720 x 42 30,240 control sectors results .
  • the tower delivers a data of (277 °, 7.3 m / s)
  • the data of the power measured in a wind turbine would be recorded in the sector defined by the interval (275 ° - 280 ° , 7 m / s - 7.5 m / s), although the intervals can be defined in any other way, such as (272.5 ° - 277.5 °;
  • the data obtained have a high statistical quality, and for this a method of statistical processing of the data is used, which consists in capturing the data, taking the average every determined time interval and working with the distribution of the data. Show stockings. Due to the wind turbine power curve test regulations, data capture systems in wind turbines and meteorological towers usually have a sampling frequency of 0.5 Hz (minimum) and a statistical summary of the data (or sample mean, or average of the samples) which will be carried out preferably every 10 minutes.
  • 0.5 Hz minimum
  • a statistical summary of the data or sample mean, or average of the samples
  • the process of calculating the distribution functions ends well by an external manual decision, either when a time limit has elapsed, or when the statistical parameters of each of the sectors have ceased to vary.
  • FIG. 2 shows the scheme corresponding to the learning process, in which the module (1) corresponds to the data capture of the wind turbine (2), data such as power, speed, pressure, etc., supplied to a file (3) with historical data, which after a calculation phase (4) pass to a file (5) with the power parameters, finally taking in the module (6), materialized in a computer, the end of learning decisions , the valuation of statistical parameters, etc. , requesting new data from the capture module (1) or establishing the end (7) of learning.
  • the module (1) corresponds to the data capture of the wind turbine (2), data such as power, speed, pressure, etc.
  • data such as power, speed, pressure, etc.
  • the way to control the quality of production is a multi-criteria decision, in order to distinguish between the different types of failures or drifts that may exist in a productive system.
  • a multi-criteria decision reference is made to the use of several statistical control methods in parallel so that alarms of different anomalous behaviors can be obtained at the same time.
  • control methods that can be used are all related to statistical quality control.
  • methods based on the cumulative sum of error method commonly known as CUSUM
  • SHEWART method will be used. Variants of these methods have been developed specifically for this invention and constitute an important novelty therein. These methods have been called respectively the CUSUM FRACTIONAL or F-CUSUM method and the SHEWART FRACTIONAL or F-SHEWART method. And they are exposed in the following section.

Landscapes

  • Engineering & Computer Science (AREA)
  • Combustion & Propulsion (AREA)
  • Chemical & Material Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Automation & Control Theory (AREA)
  • Wind Motors (AREA)
  • Feedback Control In General (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

L'invention concerne un procédé permettant de réguler la puissance électrique délivrée par des aérogénérateurs. Ce procédé consiste à réunir des données portant sur la vitesse du vent, la direction du vent et la puissance électrique délivrée par chaque aérogénérateur. Le procédé consiste ensuite à modéliser statistiquement le système. Une fois en fonctionnement normal, chaque aérogénérateur est régulé en comparant en continu la puissance délivrée à celle qui devrait être délivrée selon ledit modèle.
PCT/ES2003/000288 2002-06-14 2003-06-11 Procede de regulation de la production d'electricite dans des aerogenerateurs Ceased WO2003106838A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
AU2003240859A AU2003240859A1 (en) 2002-06-14 2003-06-11 Method of monitoring the power produced by aerogenerators

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
ES200201386A ES2198212B1 (es) 2002-06-14 2002-06-14 Metodo para el control de produccion en aerogeneradores electricos.
ES200201386 2002-06-14

Publications (1)

Publication Number Publication Date
WO2003106838A1 true WO2003106838A1 (fr) 2003-12-24

Family

ID=29724732

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/ES2003/000288 Ceased WO2003106838A1 (fr) 2002-06-14 2003-06-11 Procede de regulation de la production d'electricite dans des aerogenerateurs

Country Status (3)

Country Link
AU (1) AU2003240859A1 (fr)
ES (1) ES2198212B1 (fr)
WO (1) WO2003106838A1 (fr)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2011101475A3 (fr) * 2010-02-19 2012-03-22 Vestas Wind Systems A/S Procédé de fonctionnement d'une éolienne pour fournir une courbe d'énergie corrigée
CN102748219A (zh) * 2011-04-21 2012-10-24 霍尼韦尔国际公司 监测风力涡轮机的性能
EP1939445A3 (fr) * 2006-12-06 2016-08-17 General Electric Company Procédé pour prédire une courbe de puissance dans une éolienne
EP3540214A4 (fr) * 2018-01-31 2020-01-22 Beijing Goldwind Science & Creation Windpower Equipment Co., Ltd. Procédé et système de commande d'éolienne sur la base de secteur

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4155252A (en) * 1978-01-11 1979-05-22 Morrill Ralph A Wind energy metering and recording systems
US6320272B1 (en) * 1997-03-26 2001-11-20 Forskningscenter Riso Wind turbine with a wind velocity measurement system
US20020000723A1 (en) * 2000-03-09 2002-01-03 Roland Weitkamp Control system for a wind power plant

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4155252A (en) * 1978-01-11 1979-05-22 Morrill Ralph A Wind energy metering and recording systems
US6320272B1 (en) * 1997-03-26 2001-11-20 Forskningscenter Riso Wind turbine with a wind velocity measurement system
US20020000723A1 (en) * 2000-03-09 2002-01-03 Roland Weitkamp Control system for a wind power plant

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
KROHN SOREN: "Guide to the wind turbine power calculator", 6 August 2000 (2000-08-06), Retrieved from the Internet <URL:http://web.archive.org/web/20010423075521/www.windpower.org/tour/wres/guidep.htm> [retrieved on 20030919] *
KROHN SOREN: "The power curve of a wind turbine", 6 September 2000 (2000-09-06), Retrieved from the Internet <URL:http://web.archive.org/web/20010423083212/www.windpower.org/tour/wres/pwr.htm> [retrieved on 20030919] *
KROHN SOREN: "The wind rose", 6 August 2000 (2000-08-06), Retrieved from the Internet <URL:http://web.archive.org/web/20010423090321/www.windpower.org/tour/wres/rose.htm> [retrieved on 20030919] *

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1939445A3 (fr) * 2006-12-06 2016-08-17 General Electric Company Procédé pour prédire une courbe de puissance dans une éolienne
WO2011101475A3 (fr) * 2010-02-19 2012-03-22 Vestas Wind Systems A/S Procédé de fonctionnement d'une éolienne pour fournir une courbe d'énergie corrigée
CN102748219A (zh) * 2011-04-21 2012-10-24 霍尼韦尔国际公司 监测风力涡轮机的性能
EP2514969A3 (fr) * 2011-04-21 2015-01-07 Honeywell International Inc. Surveillance de la performance d'éolienne
CN102748219B (zh) * 2011-04-21 2016-12-07 霍尼韦尔国际公司 监测风力涡轮机的性能
EP3540214A4 (fr) * 2018-01-31 2020-01-22 Beijing Goldwind Science & Creation Windpower Equipment Co., Ltd. Procédé et système de commande d'éolienne sur la base de secteur
US11434872B2 (en) 2018-01-31 2022-09-06 Beijing Goldwind Science & Creation Windpower Equipment Co., Ltd. Method and system for controlling wind turbine based on sectors

Also Published As

Publication number Publication date
ES2198212B1 (es) 2005-04-01
ES2198212A1 (es) 2004-01-16
AU2003240859A1 (en) 2003-12-31

Similar Documents

Publication Publication Date Title
ES2809172T3 (es) Monitorización de eventos a través de combinación de señales
ES2942988T3 (es) Procedimiento para controlar la operación de una turbina eólica
ES2957796T3 (es) Sistemas y procedimientos para la recalibración de la posición de la góndola de una turbina eléctrica y la estimación de la dirección del viento
CN106321368B (zh) 基于运营风机scada数据的海上风电场尾流损失测量方法
US9347432B2 (en) System and method for enhanced operation of wind parks
US12012937B2 (en) Controller for detecting an ice event at a wind farm
St. Martin et al. Atmospheric turbulence affects wind turbine nacelle transfer functions
EP2942744A1 (fr) Procédé pour évaluer une prédiction de performance d&#39;un parc à éoliennes
US20150292486A1 (en) Wind turbine blade ice accretion detector
US20160084233A1 (en) Systems and methods for validating wind farm performance measurements
ES2947834T3 (es) Un método para calcular la vida útil restante de los componentes de una turbina eólica operativa
KR101383792B1 (ko) 라이다 측정을 이용한 나셀 풍속계 보정 방법
ES2912067T3 (es) Sistema y procedimiento para determinar las pérdidas por estela de un parque eólico
WO2009127764A1 (fr) Système d&#39;évaluation et de contrôle du rendement d&#39;une éolienne
CN115951088B (zh) 一种风电机组风速仪异常分析方法
CN118884572B (zh) 一种基于深度学习的大风灾害天气指数预测系统及方法
CN113626990A (zh) 基于风功率预测测风塔的风电机组功率曲线验证方法
TWI498476B (zh) 判定損失能量之方法
ES2981180T3 (es) Método de monitorización de la integridad estructural de la estructura de soporte de una turbina eólica
ES2872258T3 (es) Método para determinar la recurrencia de carga en el sentido del borde de pala de turbina eólica
WO2003106838A1 (fr) Procede de regulation de la production d&#39;electricite dans des aerogenerateurs
CN108241183A (zh) 集中管理测风数据方法以及测风塔集中管理装置
Teshome et al. Assessment of power curve performance of wind turbines in Adama-II Wind Farm
CN117932875A (zh) 风电机组扫塔风险评估方法及系统
Obhrai et al. A review of current guidelines and research on wind modelling for the design of offshore wind turbines

Legal Events

Date Code Title Description
AK Designated states

Kind code of ref document: A1

Designated state(s): AE AG AL AM AT AU AZ BA BB BG BR BY BZ CA CH CN CO CR CU CZ DE DK DM DZ EC EE FI GB GD GE GH GM HR HU ID IL IN IS JP KE KG KP KR KZ LC LK LR LS LT LU LV MA MD MG MK MN MW MX MZ NO NZ OM PH PL PT RO RU SC SD SE SG SK SL TJ TM TN TR TT TZ UA UG US UZ VC VN YU ZA ZM ZW

AL Designated countries for regional patents

Kind code of ref document: A1

Designated state(s): GH GM KE LS MW MZ SD SL SZ TZ UG ZM ZW AM AZ BY KG KZ MD RU TJ TM AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HU IE IT LU MC NL PT RO SE SI SK TR BF BJ CF CG CI CM GA GN GQ GW ML MR NE SN TD TG

121 Ep: the epo has been informed by wipo that ep was designated in this application
122 Ep: pct application non-entry in european phase
NENP Non-entry into the national phase

Ref country code: JP

WWW Wipo information: withdrawn in national office

Country of ref document: JP