CN106052957A - Wind generating set blade imbalance monitoring method and device - Google Patents

Wind generating set blade imbalance monitoring method and device Download PDF

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Publication number
CN106052957A
CN106052957A CN201610303926.7A CN201610303926A CN106052957A CN 106052957 A CN106052957 A CN 106052957A CN 201610303926 A CN201610303926 A CN 201610303926A CN 106052957 A CN106052957 A CN 106052957A
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CN
China
Prior art keywords
wind
frequency
blade
generator
torque
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Pending
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CN201610303926.7A
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Chinese (zh)
Inventor
张琪
周党生
黄峰
黄峰一
王云杰
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Shenzhen Hopewind Electric Co Ltd
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Shenzhen Hopewind Electric Co Ltd
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Priority to CN201610303926.7A priority Critical patent/CN106052957A/en
Publication of CN106052957A publication Critical patent/CN106052957A/en
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M1/00Testing static or dynamic balance of machines or structures
    • G01M1/14Determining unbalance
    • G01M1/16Determining unbalance by oscillating or rotating the body to be tested

Abstract

The present invention relates to a wind generating set blade imbalance monitoring method and device. The method comprises the following steps of obtaining a frequency fg corresponding to the mechanical rotating speed of a wind generator, and a frequency fr corresponding to the mechanical rotating speed of wind generating set blades; determining a sampling frequency fs of the torque or power of the wind generator according to the frequency fg, wherein fs=m*fg; obtaining k torque or power data of the wind generator according to the sampling frequency fs; carrying out the Fourier analysis on the k torque or power data, and obtaining an amplitude frequency spectrum by taking the frequency fr as a fundamental frequency; comparing the primary frequency spectrum amplitude in the amplitude frequency spectrum with other levels of frequency spectrum amplitudes, if the primary frequency spectrum amplitude is greater than the other levels of frequency spectrum amplitudes, determining that the wind generating set blades are located in an unbalanced state. According to the present invention, the operation state of the wind generating set blades can be monitored real-timely without needing to increase sensors, the cost is low, and the reliability is good.

Description

Wind generator set blade imbalance monitoring method and device
Technical field
The present invention relates to technical field of wind power generation, be specifically related to a kind of wind generator set blade imbalance monitoring method And device.
Background technology
In recent years wind energy turbine set scale constantly expands, and wind power generating set develops towards unit Large Copacity direction, and wind-powered electricity generation safeguards work Making difficulty big, cost is high, and development wind power generating set running status online monitoring system is most important.
Blade captures kinetic energy as wind generator system vitals, wind power system energy by blade from wind.For The most common three-vane wind generator group, the quality of any one blade, center of gravity, shape, setting angle or pneumatic spy The imbalances such as property all may cause wind generator set blade imbalance fault, even causes major accident.
The monitoring running state of wind generator set blade mainly uses periodic detection or installs wind power generating set additional at present The mode of the sensors such as vibrating sensor, X-ray, ultrasonic detection instrument.This mode exists not in time, unreliable, cost The shortcomings such as height.
Summary of the invention
It is an object of the invention to propose a kind of wind generator set blade imbalance monitoring method and device, it is achieved wind-force The on-line monitoring of generating set blade running status, low cost good reliability.
For reaching this purpose, the present invention by the following technical solutions:
As one aspect of the present invention, it is provided that a kind of wind generator set blade imbalance monitoring method, the method Comprise the following steps:
Obtain frequency f that wind-driven generator mechanical separator speed is correspondingg, and the mechanical separator speed of wind generator set blade is corresponding Frequency fr;And according to described fgDetermine the torque of wind-driven generator or sample frequency f of powers, wherein fs=m fg(m is Positive integer);
With described sample frequency fs, obtain k torque or the power data (k is positive integer) of described wind-driven generator;
Described k torque or power data are carried out Fourier analysis, and with frAmplitude frequency spectrum is obtained for fundamental frequency;
A spectral magnitude in described amplitude frequency spectrum is compared with other spectral magnitude, if a described frequency spectrum Amplitude is more than other spectral magnitude, then judge that described wind generator set blade is in unbalanced state.
Further, further comprise the steps of: judged result is filtered.
As another aspect of the present invention, it is provided that a kind of wind generator set blade imbalance monitoring device, this dress Put and include:
Acquisition module, for obtaining frequency f that wind-driven generator mechanical separator speed is correspondingg, and wind generator set blade Frequency f corresponding to mechanical separator speedr;And according to described fgDetermine the torque of wind-driven generator or sample frequency f of powers, wherein fs=m fg(m is positive integer);
Sampling module, for described sample frequency fs, obtain k torque or the power data (k of described wind-driven generator For positive integer);
Fourier's computing module, for carrying out Fourier analysis to described k torque or power data, and with frFor fundamental frequency Obtain amplitude frequency spectrum;
Judge module, compares a spectral magnitude in described amplitude frequency spectrum with other spectral magnitude, if institute State a spectral magnitude and be more than other spectral magnitude, then judge that described wind generator set blade is in unbalanced state.
Further, also include: filtration module, for judged result is filtered.
The invention have the benefit that the present invention passes through voltage that uneven monitoring device detects in real time, electric current, electromotor The torque ripple characteristic information that the information retrieval wind generator set blade imbalances such as rotating speed cause, it is not necessary to additionally increase sensing Device can realize the running state real-time monitoring to wind generator set blade, low cost good reliability.
Accompanying drawing explanation
Fig. 1 is the mechanical connection sketch of the wind generator set blade, gear-box and the wind-force electrical machinery that comprise change gear box;
Fig. 2 is the mechanical connection sketch of wind generator set blade and the wind-driven generator not comprising change gear box;
Fig. 3 is a kind of wind generator set blade imbalance monitoring method flow chart of the embodiment of the present invention one;
Fig. 4 be the embodiment of the present invention one wind generator set blade poised state under analysis result schematic diagram;
Fig. 5 be the embodiment of the present invention one wind generator set blade unbalanced state under result schematic diagram;
Fig. 6 is a kind of wind generator set blade imbalance monitoring device block diagram of the embodiment of the present invention two.
Detailed description of the invention
Technical scheme is further illustrated below in conjunction with Fig. 1-Fig. 6 and by detailed description of the invention.
When wind generator set blade is in unbalanced state, machine torque can produce and the ripple of blade rotational speed same frequency Dynamic, this fluctuation can be delivered in wind-driven generator torque by mechanical system.The T of wind-driven generator torque this momenteIt is represented by
Wherein Te0For wind-driven generator torque DC component, TevFor wave component amplitude, ωmFor blade rotational speed.Fluctuation point Amount TevCan be as the basis for estimation of wind generator set blade unbalanced state.In general, blade rotational speed ωmLess, as Fruit accurately to extract wave component Tev, at least need continuous sampling 2~3 blade cyclic.Assume that blade rotation period is 3s, 3 The individual periodic sampling time is 9s, in the case of wind speed change faster, and 9s intra vane rotational speed omegamLarge change can occur.If Using traditional constant duration method of sampling, then use Fourier to carry out spectrum analysis, the characteristic frequency extracted can divide Cloth is in a wider frequency band, and easily the judgement to wind generator set blade unbalanced state interferes.And the present invention adopts Method analyzed by sample can solve the problems referred to above well.
Embodiment one
As shown in Figure 1-Figure 3, a kind of wind generator set blade imbalance monitoring method, comprise the following steps:
S10, frequency f that acquisition wind-driven generator mechanical separator speed is correspondingg, and the mechanical separator speed of wind generator set blade Corresponding frequency fr;And according to described fgDetermine the torque of wind-driven generator or sample frequency f of powers, wherein fs=m fg(m For positive integer);
As it is shown in figure 1, if wind generator system is dual feedback wind power generation system, dual feedback wind power generation system includes that wind-force is sent out Motor blade, gear-box and wind-driven generator.Dual feedback wind power generation system is typically also equipped with code-disc, can be straight by this code-disc Obtain to obtain frequency f corresponding to wind-driven generator mechanical separator speedg.The no-load voltage ratio of gear-box typically about 100, i.e. fg=100fr, this Time m desirable 1, i.e. fs=fg
If as in figure 2 it is shown, wind generator system is directly-driving wind power generation system, the typically no peace of directly-driving wind power generation system Dress code-disc, it is impossible to directly obtain frequency f that wind-driven generator mechanical separator speed is correspondinggBut, can be according to current stator voltage Vs、 Stator current Is, build rotor-position observer and rotor speed observer, frequency f that wind-driven generator mechanical separator speed is correspondingg
Direct wind-driven generator group blade mechanism rotating speed is identical with generator mechanical rotating speed, i.e. fg=fr, for improving frequency spectrum model Enclosing, m typically takes 8 or above integer, desirable 100, i.e. fs=100fg
S20, with described sample rate rate fs, (k is for the most whole to obtain k torque of described wind-driven generator or power data Number);
In the present embodiment, if wind generator system is dual feedback wind power generation system, the concrete method of sampling is: code detected Dish zero-bit overlaps with wind-driven generator trunnion axis or vertical axis, sample a torque or power data.
In the present embodiment, if wind generator system is directly-driving wind power generation system, the concrete method of sampling is: electromotor Often turn over the torque of 360/m angular samples or power data.
S30, described k torque or power data are carried out Fourier analysis, and with frAmplitude frequency spectrum is obtained for fundamental frequency;
In the present embodiment, k=2 is worked asiTime (i is positive integer), fast Fourier transform method can be used torque or merit Rate data carry out spectrum analysis.
Specifically can carry out Fourier's calculating by below equation
Or
Wherein, Q (i) is i-th Fourier's result of calculation, Te(n)/P (n) be the n-th torque in k torque data/ Power data,Coefficient of rotary conventional in calculating for Fourier;
By below equation, described Fourier's result of calculation is calculated and obtains spectral magnitude
| O ( i ) | = Q ( i ) r e a l 2 + Q ( i ) i m a g 2
Wherein, Q (i)=Q (i)real+jQ(i)imag, Q (i)realRepresent Q (i) real part, Q (i)imagRepresent Q (i) imaginary part, | O (i) | represent Q (i) modulus value, namely spectral magnitude.
If wind generator set blade rotates circle sampling n time, m=Round (360/n), Round () represent intercepting bracket The integer part of interior data.| the O (m+1) | if | O (m) | is more than, then can be using | O (m) | as a spectral magnitude;If | O (m) | be less than | O (m+1) |, then can be using | O (m+1) | as a spectral magnitude.
S40, a spectral magnitude in described amplitude frequency spectrum is compared with other spectral magnitude, if described once Spectral magnitude is more than other spectral magnitude, then judge that described wind generator set blade is in unbalanced state.
In the present embodiment, compare with the size of other spectral magnitude according to spectral magnitude | O (m) | and judge wind Whether power generator group blade is in unbalanced state.Under normal circumstances, spectral magnitude a | O (m) | and other frequency spectrum width Value size is close, and under unbalanced state, spectral magnitude a | O (m) | is more than other spectral magnitude.Such as: if | O (m) | it is more than | O (m-2) |, | the O (m-1) | and | O (m) | is more than, | the O (m+1) | and | O (m) | is more than, and | O (m) | is more than | O (m+2) | a, then it is assumed that spectral magnitude is more than other spectral magnitude, and judges that wind generator set blade is in injustice Weighing apparatus state.
Fig. 2 is analysis result under wind generator set blade poised state;Fig. 3 is wind generator set blade imbalance shape Analysis result under state.Contrast understands, and under normal circumstances, one time spectral magnitude is basically identical with other spectral magnitude size;And Under unbalanced state, one time spectral magnitude is significantly greater than other spectral magnitude.In abscissa represents Fu in figs. 2 and 3 The number of times of leaf change, vertical coordinate represents spectral magnitude.
In the present embodiment, in order to improve the reliability of judged result, also include: judged result is filtered.
Embodiment two
As shown in Figure 6, a kind of wind generator set blade imbalance monitoring device, including:
Acquisition module, for obtaining frequency f that wind-driven generator mechanical separator speed is correspondingg, and wind generator set blade Frequency f corresponding to mechanical separator speedr;And according to described fgDetermine the torque of wind-driven generator or sample frequency f of powers, wherein fs=m fg(m is positive integer);
Sampling module, for described sample frequency fs, obtains k torque or the power data (k of described wind-driven generator For positive integer);
Fourier's computing module, for carrying out Fourier analysis to described k torque or power data, and with frFor fundamental frequency Obtain amplitude frequency spectrum;
Judge module, compares a spectral magnitude in described amplitude frequency spectrum with other spectral magnitude, if institute State a spectral magnitude and be more than other spectral magnitude, then judge that described wind generator set blade is in unbalanced state.
It should be noted that wind generator set blade imbalance monitoring device, can be self-contained unit, or be unsteady flow A part for device controller or software module, or be a part or the software module of wind power generating set master controller.
The foregoing is only the detailed description of the invention of the present invention, these describe the principle being intended merely to explain the present invention, and Limiting the scope of the invention can not be construed to by any way.Based on explanation herein, those skilled in the art is not Needing to pay performing creative labour and can associate other specific implementation method of the present invention, these modes fall within the present invention Protection domain within.

Claims (4)

1. a wind generator set blade imbalance monitoring method, the method comprises the following steps:
Obtain frequency f that wind-driven generator mechanical separator speed is correspondingg, and the frequency that the mechanical separator speed of wind generator set blade is corresponding Rate fr;And according to described fgDetermine the torque of wind-driven generator or sample frequency f of powers, wherein fs=m fg(m is the most whole Number);
With described sample frequency fs, obtain k torque or the power data (k is positive integer) of described wind-driven generator;
Described k torque or power data are carried out Fourier analysis, and with frAmplitude frequency spectrum is obtained for fundamental frequency;
A spectral magnitude in described amplitude frequency spectrum is compared with other spectral magnitude, if a described spectral magnitude More than other spectral magnitude, then judge that described wind generator set blade is in unbalanced state.
A kind of wind generator set blade imbalance monitoring method the most according to claim 1, it is characterised in that also include Step: judged result is filtered.
3. a wind generator set blade imbalance monitoring device, this device includes:
Acquisition module, for obtaining frequency f that wind-driven generator mechanical separator speed is correspondingg, and the machinery of wind generator set blade Frequency f that rotating speed is correspondingr;And according to described fgDetermine the torque of wind-driven generator or sample frequency f of powers, wherein fs= m·fg(m is positive integer);
Sampling module, for described sample frequency fs, (k is for just to obtain k torque of described wind-driven generator or power data Integer);
Fourier's computing module, for carrying out Fourier analysis to described k torque or power data, and with frObtain for fundamental frequency Amplitude frequency spectrum;
Judge module, compares a spectral magnitude in described amplitude frequency spectrum with other spectral magnitude, if described one Secondary spectral magnitude is more than other spectral magnitude, then judge that described wind generator set blade is in unbalanced state.
Wind generator set blade imbalance monitoring device the most according to claim 3, it is characterised in that also include: filter Mode block, for being filtered judged result.
CN201610303926.7A 2016-05-10 2016-05-10 Wind generating set blade imbalance monitoring method and device Pending CN106052957A (en)

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CN106523299A (en) * 2016-12-13 2017-03-22 浙江运达风电股份有限公司 Stator current data driving based unbalance detecting method for blades of doubly-fed induction generator
CN109470409A (en) * 2018-10-29 2019-03-15 青岛海信日立空调系统有限公司 A kind of detection device and method of fan leaf damage

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CN109470409A (en) * 2018-10-29 2019-03-15 青岛海信日立空调系统有限公司 A kind of detection device and method of fan leaf damage

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