WO2010035742A1 - 風車構造体の応力解析装置及び応力解析プログラムを記録したコンピュータ読み取り可能な記録媒体並びに風力発電システム - Google Patents
風車構造体の応力解析装置及び応力解析プログラムを記録したコンピュータ読み取り可能な記録媒体並びに風力発電システム Download PDFInfo
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- WO2010035742A1 WO2010035742A1 PCT/JP2009/066513 JP2009066513W WO2010035742A1 WO 2010035742 A1 WO2010035742 A1 WO 2010035742A1 JP 2009066513 W JP2009066513 W JP 2009066513W WO 2010035742 A1 WO2010035742 A1 WO 2010035742A1
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- 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
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- 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
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- 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 wind power generation system that generates power using a windmill that converts wind, which is natural energy, into rotational force, and in particular, records a stress analysis device for a windmill structure that analyzes the stress of the windmill structure and a program thereof.
- the present invention relates to a computer-readable recording medium.
- a wind power generation system that generates power using wind power, which is natural energy
- a rotor head mounted with a blade a main shaft connected to rotate integrally with the rotor head, and a main shaft that rotates by receiving wind power are connected to a nacelle installed on a support column.
- a gearbox and a generator driven by the shaft output of the gearbox are provided.
- the blade pitch angle is controlled so as to obtain a predetermined generator rotation speed and output according to the wind conditions.
- Patent Document 1 discloses a technique for calculating the angle of attack of wind flowing into each blade and the load acting on each part such as a nacelle, and individually controlling the pitch angle of each blade in order to reduce this load fluctuation. Is disclosed.
- the present invention makes it possible to operate a wind power generation system in a more ideal environment that is less likely to be damaged, and to prevent failures due to fatigue deterioration caused by repeatedly applied variable loads.
- An object of the present invention is to provide a wind turbine structure stress analysis apparatus, a computer-readable recording medium in which a stress analysis program is recorded, and a wind power generation system.
- a first aspect of the present invention is based on a load data creation unit that creates load time-series data at a predetermined load observation location set in a wind turbine structure based on parameters relating to the operating environment, and the load time-series data.
- a wind turbine structure stress analysis apparatus comprising: a stress analysis unit that creates stress time series data at at least one analysis target location set in the wind turbine structure.
- load time series data at a predetermined load observation point set in the wind turbine structure is created by the load data creation unit, and at least one set in the wind turbine structure based on the load time series data.
- Stress time series data is calculated by the stress analysis unit at two analysis target locations. Therefore, by reflecting this stress time series data in the operation control of the wind power generation system, it becomes possible to operate the wind power generation system in a more ideal environment, and fatigue deterioration due to repeatedly applied variable load, etc. It is possible to prevent a malfunction due to the above.
- the parameters relating to the operating environment are, for example, wind speed, wind direction, load, and the like, and include at least parameters necessary for acquiring the load.
- the parameter relating to the operating environment may be load data itself measured by a load sensor.
- the load observation point and the analysis target point can be arbitrarily set in the wind turbine structure.
- the load observation point is preferably set to a point where the parameter related to the operating environment is measured.
- it is preferable that a large number of analysis target locations are set everywhere in the wind turbine structure in order to perform detailed stress analysis of the wind turbine.
- the load data creation unit uses each load in the analysis target location from the load time series data of the load observation location using a load conversion table associated with the analysis target location.
- Each of the basic component load time series data is created, and the stress analysis unit analyzes the basic component based on the structural response of each basic component when the unit load is applied and the basic component load time series data.
- the stress time series data of each basic component acting on the target location is obtained, the first principal stress time series data indicating the stress value with respect to the principal stress direction at each time is obtained from the stress time series data of each basic component, and the first Among the main stress time series data, the main stress direction at the time when the maximum main stress is indicated is specified as the specified direction, and each time is determined from the stress time series data of each basic component.
- Second stress time-series data indicating a stress value for said designated direction in may be created.
- the load time series data of each basic component at the analysis target location is created, and the load time series data of each basic component is superimposed, so that the first main stress time series data in the main stress direction. Is created.
- 1st main stress time series data are created, it becomes possible to confirm the stress value in each time which acted on the analysis object location. And the time when the stress value showed the maximum in 1st main stress time series data is specified, and the main stress direction at that time is specified as a designated direction. Subsequently, stress time series data in the specified direction is created from the stress time series data of each basic component, and this is used as second stress time series data.
- the direction when the maximum stress is applied is specified as the specified direction, and the stress time series data for the specified direction is obtained again, so the direction in which the force is most applied, that is, the direction in which fatigue damage such as crack growth is likely to occur. It is possible to reliably grasp the fluctuation state of the stress with respect to.
- the basic components are, for example, three components x, y, and z.
- the components related to that direction can be used without using all three components.
- the first principal stress time series data and the second stress time series data may be created using only the load time series data.
- the stress analysis unit obtains a cumulative stress from the second principal stress time-series data for each analysis target portion, and the cumulative stress exceeds a preset deterioration reference value.
- a notification unit that notifies the fact may be provided.
- the wind turbine structure stress analysis apparatus and an operation control apparatus are provided, the stress analysis apparatus feeds back the stress information to the operation control apparatus, and the operation control apparatus includes: This is a wind power generation system that performs operation control based on the stress information.
- the stress analyzer since the information regarding the stress analyzed by the stress analyzer is reflected in the operation control of the wind power generation system, it is possible to operate the wind power generation system in a more ideal environment that is not easily damaged. In addition, it is possible to prevent a failure due to fatigue deterioration or the like caused by a repeatedly applied variable load.
- a third aspect of the present invention is based on load data creation processing for creating load time series data at a predetermined load observation location set in a wind turbine structure based on parameters relating to the operating environment, and the load time series data. And a computer-readable recording of a wind turbine structure stress analysis program for causing the computer to execute stress analysis processing for creating stress time-series data in at least one analysis target location set in the wind turbine structure Recording medium.
- the present invention it is possible to operate a wind power generation system in a more ideal environment that is not easily damaged, and it is possible to prevent a failure due to fatigue deterioration or the like due to a repeatedly applied variable load. There is an effect that can be done.
- FIG. 1 is a block diagram showing a schematic configuration of the wind power generation system according to the present embodiment.
- the wind power generation system 1 includes a windmill having three blades 11, a nacelle 12, a rotor head 13 that attaches the three blades 11 to the nacelle 12, and a column 14 that supports the nacelle 12.
- a structure 2 is provided.
- the case of having three blades is illustrated, but the number of blades is not particularly limited.
- an analysis target location where stress is calculated by a stress analysis device described later is set in advance.
- This analysis target location can be set arbitrarily and in many places where the wind turbine structure 2 is reached, but is actively set at a location where deterioration easily occurs due to a load, for example. Specifically, it is set to a structural part such as a blade, nacelle, tower, or a load transmission part such as a drive shaft.
- a wind direction / anemometer 105 for measuring the wind direction / velocity is provided above the nacelle 12.
- Each blade 11 is provided with a pitch angle sensor 106 for detecting the pitch angle.
- a main shaft 15 connected to rotate integrally with the rotor head 13
- a speed increaser (not shown) connected to the main shaft 15, a generator 17 driven by the shaft output of the speed increaser
- the operation control device 18 that performs output control of the machine 17 and the pitch angle control of the blade 11, the stress analysis device 3 that analyzes stress acting on a plurality of analysis target portions set in the wind turbine structure 2, and the like are housed.
- Measurement data measured by the wind direction / anemometer 105 and the pitch sensor 106 is input to the operation control device 18.
- the stress analysis device 3 is accommodated in the nacelle 12, but instead, it is installed outside the wind turbine structure 2, and various sensors are used in a wireless or wired information transmission medium. Or, it may be configured to be connected to the operation control device 18 and transmit and receive information.
- Each of the stress analysis device 3 and the operation control device 18 includes a computer system having a CPU (Central Processing Unit), a computer-readable recording medium such as a ROM (Read Only Memory), and a RAM (Random Access Memory), for example.
- a stress analysis program for the wind turbine structure 2 is stored in the recording medium of the stress analysis device 3.
- a series of processing steps to be described later is realized by the CPU reading the stress analysis program into the RAM or the like and executing information processing / calculation processing.
- FIG. 3 is a functional block diagram showing the functions of the stress analyzer 3 in an expanded manner.
- the stress analysis device 3 includes a load data creation unit 21 that creates load time-series data at a predetermined load observation location set in the wind turbine structure 2 based on parameters related to the operating environment; A stress analysis unit 22 that creates stress time series data at a large number of analysis target locations set in the wind turbine structure 2 based on the load time series data.
- the parameters relating to the operating environment are, for example, wind direction deviation, wind speed, rotation speed, output, and the like.
- the measured value of the wind direction / anemometer 105 can be adopted as the wind direction / velocity, and the wind direction deviation can be obtained by calculating from the measurement data of the wind direction / anemometer 105 and the YAW angle.
- the rotational speed can be obtained from the output of an encoder or the like attached near the rotor of the generator 17, for example.
- the load can be calculated from parameters such as wind direction, wind speed, and output.
- the parameter used for measuring the load and the parameter relating to the operating environment are treated as independent.
- the load at each time corresponding to a predetermined load observation location set in at least one location of the wind turbine structure 2 is converted into basic components (x, y, z axial loads and moments in the three axial directions).
- the load time series data of each basic component is created (step SA1 in FIG. 4A). Furthermore, these results are organized using the parameters related to the operating environment described above.
- FIG. 5 shows an example of load time-series data in the x-axis direction at the load observation point. As shown in FIG. 5, the load time-series data shows time on the horizontal axis and load on the vertical axis.
- the load observation point means, for example, a place where a sensor for measuring the parameters related to the operating environment is installed, for example, a place where the wind direction / anemometer 105 is installed.
- the load data creation unit 21 has a load conversion table in advance for each location to be analyzed. Using this load conversion table, each basic component (3 in the x, y, and z directions) at the load observation location is used.
- the load time series data at each analysis target location is created from the load time series data of the component (step SA2 in FIG. 4A).
- the load conversion table is a conversion table for obtaining the load time series data at each analysis target location from the load time series data at the load observation location, for example, the load at the load observation location and the analysis target location under a predetermined condition. It is created by actually measuring and comparing the measurement results. As described above, by having the conversion table, it is possible to easily estimate the load time series data at a large number of analysis target locations from the load time series data at the load observation locations.
- the stress analysis unit 22 When the load time series data at each analysis target location is created for each basic component, the stress analysis unit 22 subsequently analyzes the stress at each analysis target location based on this load time series data. Specifically, the stress analysis unit 22 performs the following processing for each analysis target location set in the wind turbine structure 2.
- FIG. 6 shows an example of stress time series data for the x component. As shown in FIG. 6, the stress time-series data shows time on the horizontal axis and stress on the vertical axis.
- first principal stress time series data indicating a stress value with respect to the principal stress direction at each time is created from the stress time series data of each basic component (step SA4 in FIG. 4A). This can be calculated from the stress time series data of each basic component.
- the first principal stress time series data is created in this way because it is difficult to estimate the fatigue strength and the like at each analysis target location from the stress time series data for each basic component.
- FIG. 7 shows an example of the first principal stress time series data. In FIG. 7, the horizontal axis indicates time, and the vertical axis indicates the stress value in the principal stress direction.
- the time tm indicating the maximum principal stress is identified from the first principal stress time series data, and the principal stress direction at the time tm is identified as the designated stress direction (step SA5 in FIG. 4A).
- the principal stress directions at the times t1, t2, and tm are different.
- the principal stress direction at time t1 is v1
- the principal stress direction at time t2 is v2
- the principal stress direction at time tm is vm, etc.
- the principal stress direction depends on the stress time series data of each basic component at each time. Change. Therefore, in this process, the principal stress direction at the time showing the maximum principal stress among the principal stress directions that change every moment in this way is specified as the designated stress direction or converted into a preset direction component.
- the second stress time series data in the specified specified stress direction is created based on the stress time series data of each basic component (step SA6 in FIG. 4B).
- the designated stress direction is the direction in which the maximum stress is indicated or a direction designated in advance. Therefore, by creating the second stress time series data that is the stress time series data in the designated stress direction, It is possible to acquire a stress that acts in the direction of force that is most dominant for deterioration and the like.
- the accumulated stress is calculated by accumulating the stress value at each time from the second stress time series data (step SA7 in FIG. 4B), and the operation control device 18 uses this accumulated stress and the second stress time series data. (Step SA8 in FIG. 4B).
- the operation control device 18 can reflect the stress in the operation control. For example, the operation control device 18 changes the blade pitch angle in such a direction as to reduce the stress if the accumulated stress in the past predetermined time is higher than a preset reference value. Control the operation.
- the stress analysis unit 22 determines whether or not the accumulated stress obtained from the second stress time series data exceeds a preset deterioration reference value (step SA9 in FIG. 4B).
- This deterioration reference value is a value that is arbitrarily determined for each location to be analyzed, and is a value that is set to a value that is smaller than a value that is estimated to cause a failure or crack in each location to be analyzed. If there is an analysis target location where the accumulated stress exceeds the deterioration reference value, the fact is notified (step SA10 in FIG. 4B).
- an emergency lamp is lit, and the operator is notified of this by various methods, and the operation is performed.
- an emergency measure such as stopping the operation is taken.
- the stress analysis device for wind structure As described above, according to the stress analysis device for wind structure according to the present embodiment, the computer-readable recording medium on which the program is recorded, and the wind power generation system, the analysis is performed by the stress analysis device 3 for wind structure. Since the information on the applied stress is reflected in operation control (mainly blade pitch angle control and generator control), it is possible to operate in a more ideal environment that is less susceptible to damage. Therefore, it is possible to prevent a failure due to fatigue deterioration or the like due to a repeatedly applied variable load.
- operation control mainly blade pitch angle control and generator control
- the load is calculated based on the parameters related to the operating environment such as the wind direction, the wind speed, the wind direction deviation, and the rotational speed.
- a load sensor is provided at the load observation point, and the load is calculated.
- the load time series data of each basic component at the load observation point may be directly created.
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Abstract
Description
このような風力発電システムにおいては、例えば、風況に応じて所定の発電機回転速度と出力を得るようにブレードピッチ角度を制御している。また、例えば、特許文献1には、各ブレードに流入する風の迎角並びにナセル等の各部に働く荷重等を算出し、この荷重変動を低減させるべく各ブレードのピッチ角を個別に制御する技術が開示されている。
上記運転環境に関するパラメータとは、例えば、風速、風向、荷重等であり、少なくとも荷重を取得するために必要となるパラメータを含むものとする。また、この運転環境に関するパラメータは荷重センサにより計測される荷重データ自体であってもよい。
荷重観測箇所及び解析対象箇所は風車構造体に任意に設定することが可能である。荷重観測箇所は、例えば、上記運転環境に関するパラメータが計測される箇所に設定されることが好ましい。また、解析対象箇所は、風車の応力解析を詳細に行うために、風車構造体のいたるところに多数設定されることが好ましい。
なお、基本成分は、例えば、x、y、zの3成分である。また、解析対象箇所に応じて予め損傷を受けやすい方向、例えば、亀裂が入りやすい方向等が予め分かっている場合には、上記3成分全ての成分を用いずとも、その方向に関係する成分の荷重時系列データのみを用いて上記第1主応力時系列データ、第2応力時系列データを作成することとしてもよい。
図1は、本実施形態に係る風力発電システムの概略構成を示したブロック図である。
図1に示されるように風力発電システム1は、3枚のブレード11と、ナセル12と、ナセル12に3枚のブレード11を取り付けるロータヘッド13と、ナセル12を支持する支柱14とを有する風車構造体2を備えている。なお、本実施形態においては、3枚のブレードを有する場合を例示するが、ブレードの枚数については特に制限されない。
また、荷重は、例えば、風向、風速、出力等のパラメータから算出することが可能である。例えば、荷重の計測に用いられるパラメータと運転環境に関するパラメータとは、独立したものとして取り扱われる。
上記荷重変換テーブルは、荷重観測箇所における荷重時系列データから各解析対象箇所における荷重時系列データをそれぞれ得るための変換テーブルであり、例えば、所定の条件下における荷重観測箇所及び解析対象箇所における荷重を実際に計測し、この計測結果を比較することで作成される。このように、変換テーブルを有していることにより、荷重観測箇所における荷重時系列データから多数の解析対象箇所における荷重時系列データを容易に推定することが可能となる。
図6に、x成分における応力時系列データの一例を示す。図6に示されるように、応力時系列データは、横軸に時間、縦軸に応力を示したものである。
具体的には、図8に示すように、第1主応力時系列データにおいて、各時刻t1、t2,tmにおける主応力方向は異なる。例えば、時刻t1の主応力方向はv1、時刻t2における主応力方向はv2、時刻tmにおける主応力方向はvm等のように、主応力方向は各時刻における各基本成分の応力時系列データに応じて変化する。従って、本処理では、このように時事刻々と変化する主応力方向のうち、最大主応力を示している時刻の主応力方向を指定応力方向として特定するか、予め設定した方向成分に換算する。
そして、累積応力が劣化基準値を超えている解析対象箇所が存在していた場合には、その旨を通知する(図4BのステップSA10)。例えば、遠隔に設置されている風力発電システムの制御室に設置されている表示装置に表示する、非常用のランプを点灯させる等の種々の方法により、その旨をオペレータ等に通知するとともに、運転制御装置18に対してその旨を示す信号を出力する。これにより、運転制御装置18においては、運転を停止する等の緊急措置がとられる。これにより、経年劣化による風車構造体の故障を未然に防止することが可能となる。
2 風車構造体
3 応力解析装置
11 ブレード
12 ナセル
13 ロータヘッド
15 主軸
17 発電機
18 運転制御装置
21 荷重データ作成部
22 応力解析部
105 風向・風速計
106 ピッチセンサ
Claims (5)
- 運転環境に関するパラメータに基づいて、風車構造体に設定された所定の荷重観測箇所における荷重時系列データを作成する荷重データ作成部と、
前記荷重時系列データに基づいて、前記風車構造体に設定されている少なくとも1つの解析対象箇所における応力時系列データを作成する応力解析部と、
を具備する風車構造体の応力解析装置。 - 前記荷重データ作成部は、前記解析対象箇所に対応付けられている荷重変換テーブルを用いて、前記荷重観測箇所の荷重時系列データから前記解析対象箇所における各基本成分の荷重時系列データをそれぞれ作成し、
前記応力解析部は、
前記解析対象箇所における単位荷重作用時の各基本成分の構造応答と各基本成分の荷重時系列データとに基づいて、前記解析対象箇所に作用する各基本成分の応力時系列データを求め、
各基本成分の前記応力時系列データから各時刻における主応力方向に対する応力値を示す第1主応力時系列データを求め、
前記第1主応力時系列データのうち、最大主応力を示した時刻における主応力方向を指定方向として特定し、
各基本成分の前記応力時系列データから各時刻における前記指定方向に対する応力値を示す第2応力時系列データを作成する請求項1に記載の風車構造体の応力解析装置。 - 前記応力解析部は、前記解析対象箇所毎の前記第2主応力時系列データから累積応力を求め、この累積応力が予め設定されている劣化基準値を超えるか否かを判定し、累積応力が該劣化基準値を超える解析対象箇所が存在した場合に、その旨を通知する通知部を備える請求項2に記載の風車構造体の応力解析装置。
- 請求項1から請求項3のいずれかに記載の風車構造体の応力解析装置と、
運転制御装置とを備え、
前記応力解析装置は前記応力の情報を前記運転制御装置にフィードバックし、
前記運転制御装置は、該応力の情報に基づいて運転制御を行う風力発電システム。 - 運転環境に関するパラメータに基づいて、風車構造体に設定された所定の荷重観測箇所における荷重時系列データを作成する荷重データ作成処理と、
前記荷重時系列データに基づいて、前記風車構造体に設定されている少なくとも1つの解析対象箇所における応力時系列データを作成する応力解析処理とをコンピュータに実行させるための風車構造体の応力解析プログラムが記録されたコンピュータ読み取り可能な記録媒体。
Priority Applications (7)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US12/937,747 US8319364B2 (en) | 2008-09-26 | 2009-09-24 | Stress analysis device for wind-turbine structure, computer-readable storage medium storing stress analysis program, and wind turbine generator system |
AU2009297553A AU2009297553A1 (en) | 2008-09-26 | 2009-09-24 | Stress analysis device for wind-turbine structure, computer-readable storage medium storing stress analysis program, and wind turbine generator system |
EP09816157A EP2327877A1 (en) | 2008-09-26 | 2009-09-24 | Stress analysis device of windmill structure, computer-readable recording medium with stress analysis program recorded thereon, and wind power system |
BRPI0911532A BRPI0911532A2 (pt) | 2008-09-26 | 2009-09-24 | dispositivo de análise de tensão para uma estrutura de turbina eólica, sistema de gerador de turbina eólica, e, meio de armazenamento legível por computador. |
CA2721328A CA2721328C (en) | 2008-09-26 | 2009-09-24 | Stress analysis device for wind-turbine structure, computer-readable storage medium, and wind turbine generator system |
CN2009801149561A CN102016299B (zh) | 2008-09-26 | 2009-09-24 | 风车结构体的应力解析装置、记录应力解析程序的计算机可读取的记录介质以及风力发电系统 |
KR1020107024014A KR101192940B1 (ko) | 2008-09-26 | 2009-09-24 | 풍차 구조체의 응력 해석 장치 및 응력 해석 프로그램을 기록한 컴퓨터 판독 가능한 기록 매체와 풍력 발전 시스템 |
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JP2008248556A JP4939508B2 (ja) | 2008-09-26 | 2008-09-26 | 風車構造体の応力解析装置及び応力解析プログラム並びに風力発電システム |
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US (1) | US8319364B2 (ja) |
EP (1) | EP2327877A1 (ja) |
JP (1) | JP4939508B2 (ja) |
KR (1) | KR101192940B1 (ja) |
CN (1) | CN102016299B (ja) |
AU (1) | AU2009297553A1 (ja) |
BR (1) | BRPI0911532A2 (ja) |
CA (1) | CA2721328C (ja) |
WO (1) | WO2010035742A1 (ja) |
Cited By (1)
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US9822762B2 (en) * | 2013-12-12 | 2017-11-21 | General Electric Company | System and method for operating a wind turbine |
JP6373682B2 (ja) * | 2014-08-01 | 2018-08-15 | 株式会社日立製作所 | 風力発電設備の応力推定装置および風力発電設備の応力推定方法、風力発電システム |
WO2016042652A1 (ja) * | 2014-09-19 | 2016-03-24 | 株式会社日立製作所 | 風力発電設備および風力発電設備の損傷度診断装置 |
WO2016157503A1 (ja) * | 2015-04-02 | 2016-10-06 | 株式会社日立製作所 | 風車および風車の疲労劣化診断方法、風車の運転制御方法 |
EP3088733B1 (en) | 2015-04-27 | 2018-10-17 | Envision Energy (Jiangsu) Co., Ltd. | Method for operating a wind turbine based on degradation of wind turbine blade |
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JP6553399B2 (ja) | 2015-05-14 | 2019-07-31 | 株式会社日立製作所 | 演算システム、風力発電システム、又は、風車の余寿命又は疲労損傷量の算出方法 |
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CN106224162B (zh) * | 2016-07-29 | 2018-10-16 | 电子科技大学 | 风电机组的载荷模型建立方法及载荷控制方法 |
JP6827992B2 (ja) * | 2017-10-16 | 2021-02-10 | 三菱重工業株式会社 | 風力発電装置及びその制御方法並びに制御プログラム |
CN108119316B (zh) * | 2017-11-16 | 2019-11-08 | 云南电网有限责任公司电力科学研究院 | 基于暂态录波数据的风力发电机运行故障新类型发现方法 |
KR102099614B1 (ko) * | 2018-11-08 | 2020-04-10 | 군산대학교산학협력단 | 풍력발전기용 복합재 블레이드의 피로 수명 예측 방법 및 장치 |
CN114689237B (zh) * | 2020-12-31 | 2023-04-07 | 新疆金风科技股份有限公司 | 载荷传感器标定方法、装置及计算机可读存储介质 |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2003113769A (ja) | 2001-10-03 | 2003-04-18 | Mitsubishi Heavy Ind Ltd | ブレードピッチ角度制御装置および風力発電装置 |
JP2005240785A (ja) * | 2004-02-27 | 2005-09-08 | Mitsubishi Heavy Ind Ltd | 浮体式風力発電装置の設計方法及び浮体式風力発電装置の設計用プログラム |
JP2006241981A (ja) * | 2005-02-28 | 2006-09-14 | Mitsubishi Heavy Ind Ltd | 風車の運転制御装置及びその方法並びにプログラム |
Family Cites Families (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE19731918B4 (de) | 1997-07-25 | 2005-12-22 | Wobben, Aloys, Dipl.-Ing. | Windenergieanlage |
JP4720964B2 (ja) * | 2001-05-31 | 2011-07-13 | 日本電気株式会社 | Fem解析方法、プログラム、およびシステム |
FI20022235A (fi) | 2002-12-19 | 2002-12-19 | Rautaruukki Oyj | Poikittaiskuormitetun tornin perustus |
US6940185B2 (en) * | 2003-04-10 | 2005-09-06 | Advantek Llc | Advanced aerodynamic control system for a high output wind turbine |
DK177602B1 (da) * | 2004-01-16 | 2013-11-18 | Lm Wind Power As | Overvågning af driften af et vindenergianlæg |
JP4533642B2 (ja) | 2004-02-20 | 2010-09-01 | 三菱重工業株式会社 | 風車用旋回輪軸受構造 |
US20070182162A1 (en) * | 2005-07-27 | 2007-08-09 | Mcclintic Frank | Methods and apparatus for advanced windmill design |
US7183664B2 (en) * | 2005-07-27 | 2007-02-27 | Mcclintic Frank | Methods and apparatus for advanced wind turbine design |
US20090169379A1 (en) * | 2007-01-26 | 2009-07-02 | Mcclintic Frank | Methods and apparatus for advanced wind energy capture system |
US7895018B2 (en) * | 2007-08-10 | 2011-02-22 | General Electric Company | Event monitoring via combination of signals |
-
2008
- 2008-09-26 JP JP2008248556A patent/JP4939508B2/ja active Active
-
2009
- 2009-09-24 CA CA2721328A patent/CA2721328C/en not_active Expired - Fee Related
- 2009-09-24 KR KR1020107024014A patent/KR101192940B1/ko not_active IP Right Cessation
- 2009-09-24 CN CN2009801149561A patent/CN102016299B/zh not_active Expired - Fee Related
- 2009-09-24 EP EP09816157A patent/EP2327877A1/en not_active Withdrawn
- 2009-09-24 US US12/937,747 patent/US8319364B2/en active Active
- 2009-09-24 WO PCT/JP2009/066513 patent/WO2010035742A1/ja active Application Filing
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Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2003113769A (ja) | 2001-10-03 | 2003-04-18 | Mitsubishi Heavy Ind Ltd | ブレードピッチ角度制御装置および風力発電装置 |
JP2005240785A (ja) * | 2004-02-27 | 2005-09-08 | Mitsubishi Heavy Ind Ltd | 浮体式風力発電装置の設計方法及び浮体式風力発電装置の設計用プログラム |
JP2006241981A (ja) * | 2005-02-28 | 2006-09-14 | Mitsubishi Heavy Ind Ltd | 風車の運転制御装置及びその方法並びにプログラム |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111523267A (zh) * | 2020-04-21 | 2020-08-11 | 重庆邮电大学 | 一种基于参数化有限元模型的风机主轴结构优化方法 |
CN111523267B (zh) * | 2020-04-21 | 2023-05-23 | 重庆邮电大学 | 一种基于参数化有限元模型的风机主轴结构优化方法 |
Also Published As
Publication number | Publication date |
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KR20100125458A (ko) | 2010-11-30 |
US8319364B2 (en) | 2012-11-27 |
JP4939508B2 (ja) | 2012-05-30 |
CN102016299B (zh) | 2013-05-08 |
US20110049888A1 (en) | 2011-03-03 |
CA2721328A1 (en) | 2010-04-01 |
JP2010079685A (ja) | 2010-04-08 |
AU2009297553A1 (en) | 2010-04-01 |
BRPI0911532A2 (pt) | 2015-10-13 |
KR101192940B1 (ko) | 2012-10-18 |
EP2327877A1 (en) | 2011-06-01 |
CA2721328C (en) | 2013-07-30 |
CN102016299A (zh) | 2011-04-13 |
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