CN103321854A - Vibration control method for wind generator set tower - Google Patents

Vibration control method for wind generator set tower Download PDF

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Publication number
CN103321854A
CN103321854A CN2013102070396A CN201310207039A CN103321854A CN 103321854 A CN103321854 A CN 103321854A CN 2013102070396 A CN2013102070396 A CN 2013102070396A CN 201310207039 A CN201310207039 A CN 201310207039A CN 103321854 A CN103321854 A CN 103321854A
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vibration
value
frequency
wind
data
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CN103321854B (en
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陶学军
岳红轩
卢晓光
吴鹏
张延辉
盛琰
桂黄宇
刘伟鹏
张举良
丁艳军
陈娜娜
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State Grid Corp of China SGCC
Xuji Group Co Ltd
Xuchang Xuji Wind Power Technology Co Ltd
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State Grid Corp of China SGCC
Xuji Group Co Ltd
Xuchang Xuji Wind Power Technology Co Ltd
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    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/70Wind energy
    • Y02E10/72Wind turbines with rotation axis in wind direction

Abstract

The invention discloses a vibration control method for a wind generator set tower. The method comprises the steps of collecting motor rotation speed data in real time and utilizing a cabin vibration sensor to collect vibration signals; converting the collected vibration signals into vibration signal peak-to-peak values, and when the vibration signal peak-to-peak values exceed a set alarm value, triggering vibration alarm and performing real-time frequency spectrum characteristic analysis; obtaining real-time frequency spectrum characteristics and a wind wheel rotating speed value at the time; comparing a complete machine vibration frequency point corresponding to the wind wheel rotating speed value in complete machine vibration frequency characteristics obtained in advance and energy concentration degree under the frequency in a real-time frequency spectrum characteristic spectrum, and analyzing vibration reasons and correspondingly performing vibration reduction processing according to the different reasons. According to the vibration control method, the reasons for causing complete machine vibration are distinguished through a spectral analysis algorithm, so that cabin vibration of a wind generator is controlled to guarantee complete machine safety, times of shutdown caused by vibration is reduced, and the wind generator set utilization rate is improved.

Description

A kind of wind-power generating unit tower vibration control method
Technical field
The invention belongs to the wind power generating set control field, be specifically related to a kind of wind-power generating unit tower vibration control method.
Background technique
For large-sized speed-changing paddle changing wind power generator group, below rated wind speed, generator speed can change with wind speed regulates, and by current transformer control generator electromagnetic torque, keeps optimum tip-speed ratio, follows the trail of maximal wind-energy; More than rated wind speed, adjust propeller pitch angle by variable blade control system and change the blade aerodynamic characteristic, the wind energy that the control wind-driven generator absorbs, output power and the stabilization of speed of assurance wind-powered electricity generation unit, but owing to following reason, wind power generating set easily produces vibration.
(1) in the constant speed wind-driven generator group, influence generator slippage curve is as a very strong damper, so that torque increases sharply along with the increase of rotating speed.The torsional oscillation of legacy system exists very large damping, generally can not cause any problem, yet, more than rated wind speed, the variable-speed wind-power unit is operated under the pattern of permanent torque (or near permanent torque), only have very little damping, because torque no longer changes (or change very little) along with the variation of wind speed, under low-down damping, can cause the transmission part such as gear-box that larger torque oscillation is arranged.
(2) variation of turbulent flow, tower shadow, wind shear and blower fan load all may be so that the transmission system of wind-driven generator and pylon produce vibration, and vibration is applied on motor and the wind wheel by external excitation conversely by the amplification of pitch-controlled system or current transformer.When excited frequency during near the natural frequency of wind power generating set parts, to produce forced vibration, cause the wind power generating set fluctuation of service, blade particularly, as the critical piece that absorbs wind energy, the having the greatest impact of wind-engaging and load, in case blade or gear-box and the control of change oar or current transformer control are coupled, to constantly amplify the small vibration of transmission system in control loop, self oscillations will occur in wind power generating set, even resonance.
(3) under rated wind speed, wind-driven generator controls to keep firm power output by becoming oar.Because the control of the change oar of wind-driven generator is to come the control load torque by the aerodynamic characteristic of blade, excessive change oar action may cause the vibration of pylon and transmission system.
(4) porpoise of pylon is very weak damped vibration, has very strong resonance response, even also can keep very strong resonance when wind speed is very little, the speed of response depends on the size of damping, namely comes from the equivalent mechanical damping of wind wheel.
A kind of horizontal axis 3 blade MW class grid type wind power generating set (hereinafter to be referred as blower fan) that have that put goods on the market at present and use, in order to suppress the vibration of wind power generating set, existing vibration control method comprises that tower oscillation adds the resistance method and vibrates excessive shutdown method.
Problem and shortcoming that current these two kinds of methods exist are as follows:
It is to detect the vibration frequency of pylon that tower oscillation adds the resistance method, utilizes the controller fine setting to become oar speed, makes blade aerodynamic force produce identical with the tower oscillation frequency and opposite with a movement velocity damping force.The problem of this method is: add damping function make become the pylon thrust variation cycle that oar speed minor variations causes must be identical with the tower velocity period of change, and thrust direction is opposite with the tower oscillation velocity attitude, this just requires phase compensation when Designing Transfer Function, Phase Compensation Design needs to finish in simulation model, but model is difficult to the truth of blower fan in the single input engineering of right-on description, causing pylon to add the resistance algorithm has a greatly reduced quality, when serious even play and reduce the effect that the pylon damping increases tower oscillation, and this method is had relatively high expectations to phase accuracy, is difficult in the engineering construction realizing.
The excessive closing method of traditional vibration be the cabin vibration transducer detect vibration excessive after, no matter the vibration that causes of what reason is excessive, carry out stoppage protection without exception.This method does not have fully to analyze the reason place that causes fan vibration, is shutting down in a flash, and the impulsive load when blower fan can be got rid of load has increased the danger of blower fan.Shutting down number of times too much also can affect generated energy, and the blower fan availability is reduced.In addition, the fan vibration amount adopts traditional vibration control method to act on to become oar or torque output terminal when normal range (NR), can cause certain influence to power control etc.Therefore, this method can occur vibrating senior general and cause compressor emergency shutdown, affects the unit generation operational efficiency, and increases the problem of unit fatigue load.
Chinese patent application numbers 201010185856.2 discloses a kind of " based on the wind generator set automatic fault diagnosis method of vibration monitoring ", the method gathers original vibration signal by the acceleration transducer that is arranged in the monitoring point, original vibration signal is uploaded through after the filtering, central monitoring server is accepted data and is stored in the database, in central monitoring server, set up fault early warning system, in database, set up the fault characteristic frequency storehouse simultaneously; Set up fault diagnosis system in central monitoring server, fault diagnosis system is obtained data from database, by method automatic diagnosis fault type, position and degree such as wavelet analysis, cepstrum analysis, refinement spectrum analysis.The oscillating signal that this method gathers is used for the characteristic line of identification trouble unit, but because its diagnostic result is not used in real-time control, so there is not the requirement of conversion speed, can carry out signal with algorithm more consuming time such as wavelet analysis method etc. and process, the frequency spectrum of its analysis mainly is the character of the characteristic line the when faults such as component wear are occured.Therefore this method can not be applied to the real-time control to the wind-power generating unit tower vibration, and can only realize the diagnosis of wind power generating set fault type, position and degree, does not but have the concrete measure of carrying out vibration suppression according to diagnostic result.
Summary of the invention
The purpose of this invention is to provide a kind of wind-power generating unit tower vibration control method, existing controlling method phase accuracy is had relatively high expectations or the unit generation operational efficiency is low and the low problem of Security to solve.
In order to realize above purpose, the technical solution adopted in the present invention is: a kind of wind-power generating unit tower vibration control method, it is characterized in that, and comprise the steps:
(1) Real-time Collection motor speed data and utilize the cabin vibration transducer to gather vibration data and store;
(2) change the oscillating signal that collects into the oscillating signal peak-to-peak value, when the oscillating signal peak-to-peak value exceeds the alarming value of setting, trigger vibration alarming and carry out the real time spectrum specificity analysis;
(3) real time spectrum specificity analysis: the motor speed data in the set time section that gathers are carried out power spectrumanalysis, obtain real time spectrum characteristic spectra and the wind speed round value of this moment, encircled energy in the complete machine oscillation Frequency point that this wind speed round value in the complete machine oscillation frequecy characteristic that obtains in advance is corresponding and the real time spectrum characteristic spectra under this frequency compares, if setting the encircled energy of natural frequency section, real time spectrum surpasses setting value, then be judged as be since the excitation source frequency with due to the unit natural frequency overlaps, otherwise then be judged as be external excitation excessive cause vibrating excessive;
(4) when because external excitation frequency and unit natural frequency overlap when causing complete machine oscillation, by the torque adjustment or become the oar adjustment, generator speed is reduced, break away from the purpose of parts natural frequency to reach energizing frequency; When causing unit vibration owing to external excitation is excessive, come the off-load lotus to make vibratory output get back to normal level by initiatively reducing torque or active accommodation propeller pitch angle.
Signal peak peak value in the described step (2) is the distance between fluctuation signal crest and the trough, the process that the oscillating signal that collects is changed into the oscillating signal peak-to-peak value is as follows: the DC component of filtering oscillating signal at first, the AC compounent that keeps oscillating signal, ask for again the signal peak peak value: the crest value and the trough value that record respectively the signal that collects, in each sampling period, if the signal value that gathers greater than the crest value that records before, then should replace it front crest value by the signal value in the cycle; If then should replace it front trough value by the signal value in the cycle less than the trough value; Otherwise, if the crest value of the signal that collects and trough value are not replaced by new data before, then with the index law decay, the rate of decay depends on the time constant T1 of setting, the signal value in this sampling period calculates according to following formula, and wherein τ is the systematic sampling time; A kAnd A K-1Be respectively signal value and the signal value in a upper sampling period in this sampling period;
A k = A k - 1 × T 1 - τ T 1
The oscillating signal peak-to-peak value is the difference of current time crest value and trough value.
Stores processor mode to the vibration data of Real-time Collection in described step (1) and (2) is as follows: deposit the data in the set time section that collects in register, when vibration alarming does not trigger, only the data in the storage are carried out storage update.
Setting value in the described step (3) be when determining the complete machine oscillation frequecy characteristic encircled energy value under the respective frequencies 10%.
The process of determining the complete machine oscillation frequecy characteristic is as follows: the spectral characteristic data of the cabin vibration when gathering the blower fan trial run, determine the natural frequency that blower fan pylon vibrates; The rotary speed data of motor when gathering trial run is determined the model frequency on the Transmitted chains and the excitation source frequency that changes with wind speed round through frequency analysis; The spectral characteristic of cabin vibration and the spectral characteristic of motor speed are the complete machine oscillation frequecy characteristic, the excitation source frequency that distinguishes the unit eigentone and change with wind speed round by the complete machine oscillation frequecy characteristic, taking-up is at frequency numerical value and the encircled energy under respective frequencies numerical value of one group of corresponding under different wind speed rounds unit natural frequency, with its standard foundation as judgement oscillatory type in the vibration control.
The spectral characteristic of cabin vibration is to utilize vibration measurement instrument directly to obtain when blower fan is tried out in the step (1).
The spectral characteristic of motor speed is rotary speed data to be carried out the auto-power spectrum conversion obtain in the step (1), and the motor speed auto-power spectrum is the Fourier transformation of the self correlation function of motor speed signal, and self correlation function is as follows:
R x ( k ) = Σ k = 0 ∞ x ( k ) x ( k + n )
Wherein: x (k) is sample function, and x (k+n) is for moving on to the sample behind the n from k, and k is the time shift amount; Self correlation function is carried out the spectral characteristic that fft is motor speed signal with fft algorithm.
The sample frequency that gathers vibration transducer data and motor speed data in the step (1) is 0.01s.
Real-time for guaranteeing that the motor speed data are processed in the step (3), power spectrumanalysis adopts from spectral transformation, and is decided to be 512 sampled points from every group of data of spectral transformation, and 30s has 3000 sampled datas, 30% data are utilized degree of overlapping, guarantee that the frequency spectrum of doing can reflect current vibration characteristics.
When because external excitation frequency and unit natural frequency overlap when causing complete machine oscillation, if below rated wind speed, then on the basis of given torque, increase a nominal torque in the step (4), make rotating speed temporarily to pressing down, to reach damping effect; If more than rated wind speed, then on the given basis of pitch angle, increase a fixing change propeller angle to 90 degree directions, increase simultaneously the torque setting value, to reach the purpose that wind speed round is temporarily forced down.
Wind-power generating unit tower vibration control method of the present invention is to pass through harmonic analysis; differentiation causes the reason of complete machine oscillation, thereby the cabin vibration of control wind-driven generator guarantees complete machine safety, and reduces the shutdown number of times that causes because of vibration; improve the blower fan availability, its advantage is as follows:
1) this method no longer increases the wave filter of control system transfer function, and the system that has avoided change control system transfer function phase place to cause is unstable, has avoided the configuration tower oscillation and has added resistance control to the dependence of accurate blower fan model.
2) this method is utilized the method for frequency analysis to distinguish to cause the reason of tower oscillation, thereby controls targetedly, reduces to reduce the shutdown number of times that causes because of vibration cause because vibration cause causes shutdown instant impact to pylon.
3) this method is determined the occurrence frequency section of complete machine oscillation by the method for frequency analysis, utilizes spectrogram to instruct the working frequency range type selecting of vibration transducer, can identify the too high increase that causes cost of frequency requirement because of low frequency when avoiding the vibration transducer type selecting.Utilize spectrogram to instruct data sampling rate and the data memory length of real time spectral analysis, avoid that the factor data storage is excessive to cause taking the excessive and too small frequency analysis data deficiencies that causes of storage data of storage space; Avoid the factor data sample frequency excessive cause real-time variation and data sampling frequency too small cause can not correctly reflect the vibration truth.
4) at fan vibration during in normal range (NR), this vibration method does not affect any power control.
Description of drawings
Fig. 1 is fan vibration control principle drawing of the present invention;
Fig. 2 is that oscillating signal of the present invention extracts schematic diagram;
Fig. 3 is pylon porpoise power spectral density plot of the present invention;
Fig. 4 is wind speed round spectral density figure of the present invention.
Embodiment
Below in conjunction with accompanying drawing and specific embodiment the present invention is further introduced.
Be illustrated in figure 1 as fan vibration control principle drawing of the present invention, as seen from the figure, wind-power generating unit tower vibration control method provided by the invention comprises the steps:
(1) utilizes the blower fan test run data, determine the complete machine oscillation frequecy characteristic, guarantee that frequency characteristic is directed to particular rack, the complete machine oscillation frequecy characteristic has comprised model frequency on tower oscillation eigen frequency and the Transmitted chains, and (single-degree of freedom vibration model frequency and natural frequency equivalence: multi-freedom-degree vibration is more suitable model frequency; The object vibration equation is separated coupling finds the solution, just obtain the mode of vibration of object, comprise Mode Shape and model frequency, and model frequency is exactly usually said natural frequency, act on object with such excitation source, have resonance effect) equifrequent information, concrete computational process is as follows: the spectral characteristic data of the cabin vibration of (also can be rear by the cycle in the unit commitment operation) when gathering the blower fan trial run, these data can utilize vibration measurement instrument directly to obtain, determine that (natural frequency of tower oscillation is unit eigentone important component part for the natural frequency of blower fan pylon vibration, the tower oscillation frequency will affect complete machine oscillation by coupling); The rotary speed data of motor when gathering trial run is determined the model frequency on the Transmitted chains and the excitation source frequency that changes with wind speed round through frequency analysis, such as 3 frequencys multiplication of blade cross-over frequency etc.; The spectral characteristic of motor speed is rotary speed data to be carried out the auto-power spectrum conversion obtain, and the motor speed auto-power spectrum is the Fourier transformation of the self correlation function of motor speed signal, and self correlation function is as follows:
R x ( k ) = Σ k = 0 ∞ x ( k ) x ( k + n )
Wherein: x (k) is sample function, and x (k+n) is for moving on to the sample behind the n from k, and k is the time shift amount; Self correlation function is carried out the spectral characteristic that fft is motor speed signal with fft algorithm, utilize spectrogram can obtain scope in the frequency set of complete machine oscillation.
Take certain 2.0 megawatt unit as example, spectrogram as shown in Figure 3 and Figure 4: by spectrogram as can be known, the frequency spectrum energy of complete machine oscillation is the highest to the 3Hz concentration degree at 0.2Hz, so that the sensor measurement scope is decided to be in the scope of 0.1-5Hz is more suitable.
Because the not high sample frequency of vibration frequency is set to 0.01s, can satisfy the requirement to frequency analysis.Too high sample frequency can increase the system data processing time, and excessively low sample frequency can cause aliasing.
The sampled point of every group of spectrum analysis processing procedure should be the form of 2 power, the data utilization that can overlap, there is not the requirement of real-time because of this processing procedure, but therefore every group of data acquisition sampling point comparatively dense, and can preserve several groups of data more, data overlap utilizes number to be chosen as 30%, to guarantee spectral characteristic reflection normal condition.Selecting every group of processing data in this example is 4096 sampled points, and the data total length is chosen as 10 minutes fan operation data.
The spectral characteristic of cabin vibration and the spectral characteristic of motor speed are the complete machine oscillation frequecy characteristic in the present embodiment, the excitation source frequency that can distinguish the unit eigentone and change with wind speed round by the complete machine oscillation frequecy characteristic, taking-up is at frequency numerical value and the encircled energy under respective frequencies numerical value of one group of corresponding under different wind speed rounds unit natural frequency, with its standard foundation as judgement oscillatory type in the vibration control.
(2) oscillating signal Real-Time Monitoring and report to the police to trigger: with the sample frequency Real-time Collection motor speed data of 0.01s with utilize the cabin vibration transducer to gather vibration data and deposit the data in the 30s that collects in register;
(3) change the oscillating signal that collects into the oscillating signal peak-to-peak value, when the oscillating signal peak-to-peak value exceeds the alarming value of setting, trigger vibration alarming and carry out the real time spectrum specificity analysis; When vibration alarming does not trigger, only the data in the storage are carried out storage update.
The signal peak peak value is the distance between fluctuation signal crest and the trough, the process that the oscillating signal that collects is changed into the oscillating signal peak-to-peak value is as follows: the DC component of filtering oscillating signal at first, the AC compounent that keeps oscillating signal, ask for again the signal peak peak value: the signal that collects with 2 counter a, b records respectively, the positive maximum value of a record is crest value, and the negative maximum value of b record is the trough value; Exist in each sampling period, if the signal value that gathers, then substitutes the data (crest value namely) among a greater than the data among a; If less than the data among the b, then substitute the data (the trough value namely) among the b; If the previous moment data are not replaced by new data among counter a, the b, then with the index law decay, the rate of decay depends on the time constant T1 of setting, and the pad value in each sampling period takes advantage of represent decay time with currency at the inverse of exponential decay curve:
A k = A k - 1 × T 1 - τ T 1
Wherein: τ is the systematic sampling time; A kAnd A K-1Be respectively the value (signal value in a upper sampling period) in the current value of counter (signal value in this sampling period) and a upper sampling time; The oscillating signal peak-to-peak value is poor (being the difference of current time crest value and trough value) of data among the data sum counter b among the counter a.
Oscillating signal peak-to-peak value in the present embodiment calculates and adopts the discrete method of determining rate of signal attenuation to finish, and be convenient to computer control and realize, and alert levels is divided two-stage output.
(3) real time spectrum specificity analysis and vibration cause are judged: the motor speed data in the set time section that gathers are carried out the realtime power spectrum analysis, obtain real time spectrum characteristic spectra and the wind speed round value of this moment, encircled energy in the complete machine oscillation Frequency point that this wind speed round value in the complete machine oscillation frequecy characteristic in the step (1) is corresponding and the real time spectrum characteristic spectra under this frequency compares, if real time spectrum is set the natural frequency section (because the complete machine oscillation frequency is a Frequency point, show as in the concentration of energy of actual spectrum figure near the Frequency point of determining and all have concentration of energy in a bit of distance, as shown in Figure 3, so locate to contrast judgement in order to a bit of frequency band centered by the vibration frequency) encircled energy surpass 10% of normal value (normal value herein refers to the encircled energy value under the respective frequencies when determining the complete machine oscillation frequecy characteristic), then be judged as be since the excitation source frequency with due to the unit natural frequency overlaps, otherwise then be judged as be external excitation excessive cause vibrating excessive;
Be the real-time that guarantees that the motor speed data are processed, the realtime power spectrum analysis adopts from spectral transformation, and is decided to be 512 sampled points from every group of data of spectral transformation, and 30s has 3000 sampled datas, 30% data are utilized degree of overlapping, guarantee that the frequency spectrum of doing can reflect current vibration characteristics.Because the oscillating signal frequency analysis is to utilize nearest 5 minutes real time data to carry out frequency spectrum processing at the beginning of the operation after assembling to obtain the complete machine oscillation spectral characteristic, truly reflect the current reason that causes vibration.
(4) when since external excitation frequency and unit natural frequency overlap when causing complete machine oscillation, need to change the external excitation frequency and carry out vibration damping control, by torque adjustment or the adjustment of change oar, rotating speed is reduced, generator speed is reduced, break away from the purpose of parts natural frequency to reach energizing frequency, thereby make vibration drop to normal level, guarantee the operation of blower fan normal power generation.
In the blower fan unit, energizing frequency is mostly indirect or directly relevant with wind speed round, such as 3p, 6p etc.Change wind speed round, can change blower fan excitation source frequency.Below rated wind speed, if the external excitation frequency occurs near the vibrating alert of certain natural frequency, then on the basis of given torque, increase a nominal torque, make rotating speed temporarily to pressing down, to reach damping effect; If the external excitation frequency occurs near the vibrating alert of certain natural frequency more than rated wind speed, then on the given basis of pitch angle, increase a fixing change propeller angle to 90 degree directions, increase simultaneously the torque setting value, to reach the purpose that wind speed round is temporarily forced down.
(5) when causing unit vibration owing to external excitation is excessive, come the off-load lotus to make vibratory output get back to normal level by initiatively reducing torque or active accommodation propeller pitch angle: i.e. when the vibration that causes such as or moment impact excessive when outside additional load is excessive, can blower fan load be reduced by the method that reduces torque and increase propeller pitch angle, thereby eliminate vibration, guarantee the operation of blower fan normal power generation.

Claims (10)

1. a wind-power generating unit tower vibration control method is characterized in that, comprises the steps:
(1) Real-time Collection motor speed data and utilize the cabin vibration transducer to gather vibration data and store;
(2) change the oscillating signal that collects into the oscillating signal peak-to-peak value, when the oscillating signal peak-to-peak value exceeds the alarming value of setting, trigger vibration alarming and carry out the real time spectrum specificity analysis;
(3) real time spectrum specificity analysis: the motor speed data in the set time section that gathers are carried out power spectrumanalysis, obtain real time spectrum characteristic spectra and the wind speed round value of this moment, encircled energy in the complete machine oscillation Frequency point that this wind speed round value in the complete machine oscillation frequecy characteristic that obtains in advance is corresponding and the real time spectrum characteristic spectra under this frequency compares, if setting the encircled energy of natural frequency section, real time spectrum surpasses setting value, then be judged as be since the excitation source frequency with due to the unit natural frequency overlaps, otherwise then be judged as be external excitation excessive cause vibrating excessive;
(4) when because external excitation frequency and unit natural frequency overlap when causing complete machine oscillation, by the torque adjustment or become the oar adjustment, generator speed is reduced, break away from the purpose of parts natural frequency to reach energizing frequency; When causing unit vibration owing to external excitation is excessive, come the off-load lotus to make vibratory output get back to normal level by initiatively reducing torque or active accommodation propeller pitch angle.
2. wind-power generating unit tower vibration control method according to claim 1, it is characterized in that: the signal peak peak value in the described step (2) is the distance between fluctuation signal crest and the trough, the process that the oscillating signal that collects is changed into the oscillating signal peak-to-peak value is as follows: the DC component of filtering oscillating signal at first, the AC compounent that keeps oscillating signal, ask for again the signal peak peak value: the crest value and the trough value that record respectively the signal that collects, in each sampling period, if the signal value that gathers greater than the crest value that records before, then should replace it front crest value by the signal value in the cycle; If then should replace it front trough value by the signal value in the cycle less than the trough value; Otherwise, if the crest value of the signal that collects and trough value are not replaced by new data before, then with the index law decay, the rate of decay depends on the time constant T1 of setting, the signal value in this sampling period calculates according to following formula, and wherein τ is the systematic sampling time; A kAnd A K-1Be respectively signal value and the signal value in a upper sampling period in this sampling period;
A k = A k - 1 × T 1 - τ T 1
The oscillating signal peak-to-peak value is the difference of current time crest value and trough value.
3. wind-power generating unit tower vibration control method according to claim 1, it is characterized in that: the stores processor mode to the vibration data of Real-time Collection in described step (1) and (2) is as follows: deposit the data in the set time section that collects in register, when vibration alarming does not trigger, only the data in the storage are carried out storage update.
4. wind-power generating unit tower vibration control method according to claim 1 is characterized in that: the setting value in the described step (3) is 10% of the encircled energy value under the respective frequencies when determining the complete machine oscillation frequecy characteristic.
5. wind-power generating unit tower vibration control method according to claim 1, it is characterized in that: the process of determining the complete machine oscillation frequecy characteristic is as follows: the spectral characteristic data of the cabin vibration when gathering the blower fan trial run, determine the natural frequency that blower fan pylon vibrates; The rotary speed data of motor when gathering trial run is determined the model frequency on the Transmitted chains and the excitation source frequency that changes with wind speed round through frequency analysis; The spectral characteristic of cabin vibration and the spectral characteristic of motor speed are the complete machine oscillation frequecy characteristic, the excitation source frequency that distinguishes the unit eigentone and change with wind speed round by the complete machine oscillation frequecy characteristic, taking-up is at frequency numerical value and the encircled energy under respective frequencies numerical value of one group of corresponding under different wind speed rounds unit natural frequency, with its standard foundation as judgement oscillatory type in the vibration control.
6. wind-power generating unit tower vibration control method according to claim 5 is characterized in that: the spectral characteristic of cabin vibration is to utilize vibration measurement instrument directly to obtain when blower fan is tried out in the step (1).
7. wind-power generating unit tower vibration control method according to claim 5, it is characterized in that: the spectral characteristic of motor speed is rotary speed data to be carried out the auto-power spectrum conversion obtain in the step (1), the motor speed auto-power spectrum is the Fourier transformation of the self correlation function of motor speed signal, and self correlation function is as follows:
R x ( k ) = Σ k = 0 ∞ x ( k ) x ( k + n )
Wherein: x (k) is sample function, and x (k+n) is for moving on to the sample behind the n from k, and k is the time shift amount; Self correlation function is carried out the spectral characteristic that fft is motor speed signal with fft algorithm.
8. wind-power generating unit tower vibration control method according to claim 1 is characterized in that, the sample frequency that gathers vibration transducer data and motor speed data in the step (1) is 0.01s.
9. wind-power generating unit tower vibration control method according to claim 1, it is characterized in that: the real-time for guaranteeing that the motor speed data are processed in the step (3), power spectrumanalysis adopts from spectral transformation, and every group of data from spectral transformation are decided to be 512 sampled points, 30s has 3000 sampled datas, 30% data are utilized degree of overlapping, guarantee that the frequency spectrum of doing can reflect current vibration characteristics.
10. the described wind-power generating unit tower vibration control method of any one according to claim 1~9, it is characterized in that: in the step (4) when since external excitation frequency and unit natural frequency overlap when causing complete machine oscillation, if below rated wind speed, then on the basis of given torque, increase a nominal torque, make rotating speed temporarily to pressing down, to reach damping effect; If more than rated wind speed, then on the given basis of pitch angle, increase a fixing change propeller angle to 90 degree directions, increase simultaneously the torque setting value, to reach the purpose that wind speed round is temporarily forced down.
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CN104111154A (en) * 2014-06-23 2014-10-22 北京金风科创风电设备有限公司 Vibration trend analysis method and vibration trend analysis system of wind generating set
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CN106194580A (en) * 2016-07-13 2016-12-07 广东明阳风电产业集团有限公司 A kind of thrust abatement control algolithm of wind power generating set
CN107061186A (en) * 2017-06-09 2017-08-18 北京金风慧能技术有限公司 Vibration of wind generating set abnormity early warning method and apparatus
CN107356384A (en) * 2017-07-26 2017-11-17 安徽容知日新科技股份有限公司 Method, computing device and the system of the state of blade in a kind of monitoring wind power plant
CN107437911A (en) * 2016-05-25 2017-12-05 中车株洲电力机车研究所有限公司 Suppress the method and device of double-fed wind power generator system resonance
CN107436176A (en) * 2016-05-25 2017-12-05 中车株洲电力机车研究所有限公司 Determine the method and device of double-fed wind power generator system eigentone
CN107532568A (en) * 2015-03-23 2018-01-02 维斯塔斯风力系统集团公司 The control of more rotor wind turbines of Partial controll target is calculated using central controller
CN108317039A (en) * 2018-01-30 2018-07-24 云南能投海装新能源设备有限公司 Reduce the system and its control method of dynamic load when wind power generating set is shut down
CN108779759A (en) * 2016-04-08 2018-11-09 温德维斯有限公司 Wind power equipment and method for operating wind power equipment
CN109296506A (en) * 2018-10-26 2019-02-01 许昌许继风电科技有限公司 A kind of method for detecting vibration of Wind turbines, control method and device
CN109869286A (en) * 2019-02-12 2019-06-11 苏州热工研究院有限公司 Vibration of wind generating set state monitoring method
CN109883720A (en) * 2019-03-22 2019-06-14 西安交通大学 For recognizing the method for arranging of the tip-timing sensor of blade multiple modal vibrations
CN110318956A (en) * 2019-07-22 2019-10-11 内蒙古科技大学 A kind of blade structure for wind driven generator damage detecting method based on spectrum analysis
CN110494648A (en) * 2017-02-10 2019-11-22 维斯塔斯风力系统集团公司 The vibration damping that cabin is moved based on position
CN110651120A (en) * 2017-05-19 2020-01-03 维斯塔斯风力系统集团公司 Vibration damping of nacelle movement of a position-based wind turbine
CN111142492A (en) * 2019-12-31 2020-05-12 润电能源科学技术有限公司 Controller oscillation divergence control method, controller and storage medium
CN111512043A (en) * 2017-11-06 2020-08-07 维斯塔斯风力系统集团公司 Method and system for controlling a wind turbine to manage edge blade vibrations
CN111878323A (en) * 2020-08-25 2020-11-03 浙江运达风电股份有限公司 Wind generating set fault early warning method based on frequency spectrum autocorrelation function
CN112368477A (en) * 2018-05-17 2021-02-12 维斯塔斯风力系统集团公司 Method and system for controlling a wind turbine to reduce nacelle vibrations
CN112502031A (en) * 2020-11-11 2021-03-16 河海大学 Self-adaptive anti-seismic noise reduction method and device and bridge pier
CN112556823A (en) * 2020-12-08 2021-03-26 武汉理工光科股份有限公司 Oil-gas pipeline cleaner ball-clamping positioning monitoring method and device based on distributed optical fiber sensing
CN113982863A (en) * 2021-11-19 2022-01-28 中车株洲电力机车研究所有限公司 Method and system for monitoring unit turbulence and load based on cabin acceleration
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CN104111154A (en) * 2014-06-23 2014-10-22 北京金风科创风电设备有限公司 Vibration trend analysis method and vibration trend analysis system of wind generating set
CN104533717B (en) * 2014-12-12 2017-05-03 中船重工(重庆)海装风电设备有限公司 Method and system for suppressing tower vibration
CN104533717A (en) * 2014-12-12 2015-04-22 中船重工(重庆)海装风电设备有限公司 Method and system for suppressing tower vibration
CN104632522B (en) * 2015-01-04 2018-01-30 国电联合动力技术有限公司 A kind of monitoring and control method and system of wind generating set vibration
CN104632522A (en) * 2015-01-04 2015-05-20 国电联合动力技术有限公司 Vibration monitor and control method and system for wind turbine generator
CN107532568B (en) * 2015-03-23 2021-09-21 维斯塔斯风力系统集团公司 Control of a multi-rotor wind turbine using a central controller to calculate local control targets
CN107532568A (en) * 2015-03-23 2018-01-02 维斯塔斯风力系统集团公司 The control of more rotor wind turbines of Partial controll target is calculated using central controller
CN104865061B (en) * 2015-05-21 2017-12-15 北京工业大学 A kind of fatigue life real-time predicting method based on accumulated damage of probability
CN104865061A (en) * 2015-05-21 2015-08-26 北京工业大学 Real-time fatigue life prediction method based on probabilistic cumulative damage
CN105784093B (en) * 2016-03-08 2019-04-23 新疆金风科技股份有限公司 Fan vibration pre-warning and control method and device
CN105784093A (en) * 2016-03-08 2016-07-20 新疆金风科技股份有限公司 Blower fan vibration early-warning control method and blower fan vibration early-warning control device
CN108779759A (en) * 2016-04-08 2018-11-09 温德维斯有限公司 Wind power equipment and method for operating wind power equipment
CN105890742B (en) * 2016-04-15 2019-03-08 潍柴动力股份有限公司 A kind of vehicle resonance detection alarm method, apparatus and system
CN105890742A (en) * 2016-04-15 2016-08-24 潍柴动力股份有限公司 Vehicle resonance detection alarming method, vehicle resonance detection alarming device, and vehicle resonance detection alarming system
CN107437911A (en) * 2016-05-25 2017-12-05 中车株洲电力机车研究所有限公司 Suppress the method and device of double-fed wind power generator system resonance
CN107436176B (en) * 2016-05-25 2020-04-10 中车株洲电力机车研究所有限公司 Method and device for determining natural vibration frequency of doubly-fed wind generator system
CN107436176A (en) * 2016-05-25 2017-12-05 中车株洲电力机车研究所有限公司 Determine the method and device of double-fed wind power generator system eigentone
CN107437911B (en) * 2016-05-25 2019-10-11 中车株洲电力机车研究所有限公司 Inhibit the method and device of doubly-fed wind turbine system resonance
CN106194580A (en) * 2016-07-13 2016-12-07 广东明阳风电产业集团有限公司 A kind of thrust abatement control algolithm of wind power generating set
CN110494648B (en) * 2017-02-10 2021-01-29 维斯塔斯风力系统集团公司 Position-based damping of nacelle movement
US11396862B2 (en) 2017-02-10 2022-07-26 Vestas Wind Systems A/S Position based vibration reduction of nacelle movement
CN110494648A (en) * 2017-02-10 2019-11-22 维斯塔斯风力系统集团公司 The vibration damping that cabin is moved based on position
CN110651120A (en) * 2017-05-19 2020-01-03 维斯塔斯风力系统集团公司 Vibration damping of nacelle movement of a position-based wind turbine
US11215163B2 (en) 2017-05-19 2022-01-04 Vestas Wind Systems A/S Position based vibration reduction of nacelle movement of wind turbine
CN110651120B (en) * 2017-05-19 2021-05-04 维斯塔斯风力系统集团公司 Vibration damping of nacelle movement of a position-based wind turbine
CN107061186A (en) * 2017-06-09 2017-08-18 北京金风慧能技术有限公司 Vibration of wind generating set abnormity early warning method and apparatus
CN107061186B (en) * 2017-06-09 2019-03-29 北京金风慧能技术有限公司 Vibration of wind generating set abnormity early warning method and apparatus
CN107356384A (en) * 2017-07-26 2017-11-17 安徽容知日新科技股份有限公司 Method, computing device and the system of the state of blade in a kind of monitoring wind power plant
CN111512043A (en) * 2017-11-06 2020-08-07 维斯塔斯风力系统集团公司 Method and system for controlling a wind turbine to manage edge blade vibrations
CN108317039A (en) * 2018-01-30 2018-07-24 云南能投海装新能源设备有限公司 Reduce the system and its control method of dynamic load when wind power generating set is shut down
CN112368477A (en) * 2018-05-17 2021-02-12 维斯塔斯风力系统集团公司 Method and system for controlling a wind turbine to reduce nacelle vibrations
CN109296506A (en) * 2018-10-26 2019-02-01 许昌许继风电科技有限公司 A kind of method for detecting vibration of Wind turbines, control method and device
CN109869286A (en) * 2019-02-12 2019-06-11 苏州热工研究院有限公司 Vibration of wind generating set state monitoring method
CN109869286B (en) * 2019-02-12 2020-09-18 苏州热工研究院有限公司 Vibration state monitoring method for wind generating set
CN109883720A (en) * 2019-03-22 2019-06-14 西安交通大学 For recognizing the method for arranging of the tip-timing sensor of blade multiple modal vibrations
CN110318956A (en) * 2019-07-22 2019-10-11 内蒙古科技大学 A kind of blade structure for wind driven generator damage detecting method based on spectrum analysis
CN111142492A (en) * 2019-12-31 2020-05-12 润电能源科学技术有限公司 Controller oscillation divergence control method, controller and storage medium
CN111142492B (en) * 2019-12-31 2021-05-07 润电能源科学技术有限公司 Controller oscillation divergence control method, controller and storage medium
CN111878323A (en) * 2020-08-25 2020-11-03 浙江运达风电股份有限公司 Wind generating set fault early warning method based on frequency spectrum autocorrelation function
CN112502031A (en) * 2020-11-11 2021-03-16 河海大学 Self-adaptive anti-seismic noise reduction method and device and bridge pier
CN112556823A (en) * 2020-12-08 2021-03-26 武汉理工光科股份有限公司 Oil-gas pipeline cleaner ball-clamping positioning monitoring method and device based on distributed optical fiber sensing
CN113982863A (en) * 2021-11-19 2022-01-28 中车株洲电力机车研究所有限公司 Method and system for monitoring unit turbulence and load based on cabin acceleration
CN116896296A (en) * 2023-09-07 2023-10-17 福建华电福瑞能源发展有限公司 Method and system for controlling power of wind generating set at cut-out wind speed
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