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Fatigue life prediction method and device of wind power generator set

A fatigue life prediction, wind turbine technology, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as inability to accurately evaluate the fatigue life of wind turbines, and achieve a rigorous, clear, fast and accurate implementation process. Effect

Active Publication Date: 2016-06-22
BEIJING GOLDWIND SCI & CREATION WINDPOWER EQUIP CO LTD
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, because the above-mentioned prior art refers to the simulated working conditions, there is a gap between them and the actual working conditions, so the fatigue life of the wind turbine cannot be accurately evaluated.

Method used

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  • Fatigue life prediction method and device of wind power generator set
  • Fatigue life prediction method and device of wind power generator set
  • Fatigue life prediction method and device of wind power generator set

Examples

Experimental program
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Effect test

Embodiment 1

[0017] figure 1 It is a flow chart of an embodiment of the fatigue life prediction method of a wind turbine set provided by the present invention. The execution body of the method may be a controller set in a wind farm, or a controller of a wind turbine set. Such as figure 1 As shown, the method includes the following steps:

[0018] S110. Periodically acquire raw load data at each key component of the wind turbine, and form a time series of raw loads.

[0019] In this embodiment, the original load data at corresponding positions can be detected by setting such as acceleration sensors or strain gauges at key parts, such as the blade root, the main shaft of the wind turbine, the top of the tower, and the bottom of the tower, including: blades Root flapping and shimmy direction bending moment, main shaft torque, main shaft yaw direction bending moment, main shaft pitching direction bending moment, tower top torque, tower top forward and backward thrust and bending moment, towe...

Embodiment 2

[0040] figure 2 A flowchart of an embodiment of the short-term equivalent load solution method provided by the present invention, the method can be regarded as figure 1 A specific implementation manner of step S130 in the illustrated embodiment. Such as figure 2 As shown, the short-term equivalent load solution method includes the following steps:

[0041] S210, according to:

[0042] μ k = k - 1 k μ k - 1 + 1 k ΔM ( 1 H z ) ... ( 1 )

[0043] Calculate the equivalent load ΔM of each type of 1Hz during the K-th iteration (1Hz) mean μ k .

[0044] Wher...

Embodiment 3

[0066] image 3 The structural block diagram of an embodiment of the fatigue life prediction device for wind turbines provided by the present invention can be used to perform such as figure 1 The method steps shown. Such as image 3 As shown, the device includes: an original load acquisition module 310, an equivalent load module 320, a short-term equivalent module 330, a life cycle equivalent module 340 and a fatigue life prediction module 350, wherein:

[0067] The original load acquisition module 310 is used to periodically acquire the original load data at each key component in the wind turbine, and form the original load time series; the equivalent load module 320 is used to count the rainflow of the original load time series, and press The linear damage accumulation theory calculates the equivalent load corresponding to the original load data in each period; the short-time equivalent module 330 is used to perform short-time equivalent on the equivalent load correspondin...

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Abstract

The invention relates to a fatigue life prediction method and device of a wind power generator set. The method comprises following steps of periodically obtaining original load data at each key component part in the wind power generator set; forming an original load time sequence; carrying out rain flow counting to the original load time sequence; calculating the equivalent load corresponding to the original load data in each cycle according to the Palmgren-Miner; carrying out short time equivalence to the equivalent load corresponding to each cycle in an iteration mode, thus generating short time equivalent loads in corresponding cycles; according to the short time equivalent load corresponding to each cycle, the designed service life of each key component and the equivalent cycle count recommended in an evaluative criteria, calculating to obtain the life cycle equivalent load of each key component corresponding to each cycle; and predicting the fatigue life of the wind power generator set corresponding to each cycle according to the life cycle equivalent load. According to the method and the device provided by the invention, the fatigue life of the wind power generator set can be predicted rapidly and accurately in real time.

Description

technical field [0001] The invention relates to the technical field of wind power, in particular to a fatigue life prediction method and device for a wind turbine. Background technique [0002] The fatigue life of a wind turbine (referred to as "wind turbine") is determined by the shortest fatigue life of its key components. Usually, each key component is subjected to fatigue simulation under different working conditions when leaving the factory, and the fatigue life under different working conditions is obtained. When the key components are running normally on the wind turbine, by recording the operating data of these key components, or related data that can affect their life, and comparing these data with the previous simulation conditions, the current The fatigue life of each key component is obtained, and then the fatigue life of the wind turbine is obtained. [0003] However, because the above-mentioned prior art refers to the simulated working conditions, there is a ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
CPCG16Z99/00
Inventor 王明辉李健波·约尔·佩德森
Owner BEIJING GOLDWIND SCI & CREATION WINDPOWER EQUIP CO LTD
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