CN111075660A - Frequency domain analysis method, device and equipment for monitoring variables of wind turbine generator - Google Patents
Frequency domain analysis method, device and equipment for monitoring variables of wind turbine generator Download PDFInfo
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- CN111075660A CN111075660A CN201911275093.8A CN201911275093A CN111075660A CN 111075660 A CN111075660 A CN 111075660A CN 201911275093 A CN201911275093 A CN 201911275093A CN 111075660 A CN111075660 A CN 111075660A
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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
- 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
- F03D80/00—Details, components or accessories not provided for in groups F03D1/00 - F03D17/00
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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
Abstract
The invention discloses a frequency domain analysis method for monitoring variables of a wind turbine generator, which comprises the steps of firstly, after the real phase of a sine wave signal under each preset frequency is determined, because the influence of a sine wave component corresponding to a fundamental frequency on the monitoring variable signal is the largest, the preset frequency of the sine wave signal with the minimum standard deviation of a difference waveform signal of the monitoring variable signal can be used as the fundamental frequency of the monitoring variable signal, and importantly, compared with FFT (fast Fourier transform algorithm), the difference operation and the standard deviation operation adopted in the method are both basic algebraic operations, the requirement on the computing capacity of a controller of the wind turbine generator is low, so that the use threshold can be effectively reduced, and the cost is saved. The invention also discloses a frequency domain analysis device and equipment for the monitoring variables of the wind turbine generator, and the frequency domain analysis device and equipment have the same beneficial effects as the frequency domain analysis method for the monitoring variables of the wind turbine generator.
Description
Technical Field
The invention relates to the field of wind power, in particular to a frequency domain analysis method for monitoring variables of a wind turbine generator, and further relates to a frequency domain analysis device and equipment for the monitoring variables of the wind turbine generator.
Background
Wind power generation has become a mature power generation mode, fault analysis of a wind turbine generator is performed by adopting time domain analysis of monitoring variable signals (such as vibration acceleration signals and rotation speed signals) of the wind turbine generator, and currently, fault diagnosis of the wind turbine generator is gradually performed by combining frequency domain analysis of the monitoring variables of the wind turbine generator, which requires that a fundamental frequency of the monitoring variable signals can be identified.
Therefore, how to provide a solution to the above technical problem is a problem that needs to be solved by those skilled in the art.
Disclosure of Invention
The invention aims to provide a frequency domain analysis method for monitoring variables of a wind turbine generator, which has lower requirements on the computing capacity of a controller in the wind turbine generator, thereby reducing the cost; another object of the present invention is to provide a frequency domain analysis apparatus and device for monitoring variables of a wind turbine, which have lower requirements for the calculation capability of a controller in the wind turbine, thereby reducing the cost.
In order to solve the technical problem, the invention provides a frequency domain analysis method for monitoring variables of a wind turbine generator, which comprises the following steps:
acquiring a monitoring variable signal of a fundamental frequency to be identified and generating a plurality of sine wave signals with different preset frequencies;
determining the real phase of the sine wave component of each preset frequency in the monitoring variable signal according to the monitoring variable signal and the standard deviation of the difference waveform signal between the sine wave signals assigned with a plurality of different preset phases under each preset frequency;
assigning the phase of the sine wave signal at each preset frequency to the real phase corresponding to the preset frequency;
taking the preset frequency of the sine wave signal corresponding to the smallest standard deviation in the standard deviations of the difference waveform signals between the monitoring variable signal and the sine wave signal subjected to phase assignment as the fundamental frequency of the monitoring variable signal;
and carrying out frequency domain analysis on the monitoring variable signal according to the fundamental frequency so as to carry out fault diagnosis on the wind turbine generator.
Preferably, the acquiring of the monitoring variable signal of the fundamental frequency to be identified specifically includes:
and acquiring a set of monitoring variable measured values acquired within a first preset time in the past and taking the set as a monitoring variable signal of the fundamental frequency to be identified.
Preferably, after acquiring the set of monitoring variable measurement values acquired within a first preset time period in the past and taking the set as the monitoring variable signal of the fundamental frequency to be identified, before generating the sine wave signals of the plurality of different preset frequencies, the frequency domain analysis method for the monitoring variable of the wind turbine further includes:
and integrating a plurality of monitoring variable measurement values in the monitoring variable measurement value set into an equal interval monitoring variable measurement value set, wherein adjacent interval time is the second preset time length.
Preferably, the set of measurement values of the monitoring variables at equal intervals is specifically:
wherein ω is 2 π fBω is the angular frequency of the fundamental frequency of the monitoring variable signal, fBIs the fundamental frequency of the monitor variable signal, A is the amplitude of the fundamental frequency, β is the phase of the fundamental frequency signal, AiAmplitude, ω, of sinusoidal components corresponding to frequencies other than the fundamental frequencyiFor frequencies of sinusoidal components corresponding to frequencies other than the fundamental frequency, βiThe phases of the corresponding sinusoidal components for frequencies other than the fundamental frequency.
Preferably, the step of integrating the plurality of measured values of the monitored variables in the set of measured values of the monitored variables into the set of measured values of the monitored variables at equal intervals, in which the adjacent interval time is the second preset time length, specifically comprises:
and integrating a plurality of monitoring variable measurement values in the monitoring variable measurement value set into an equal-interval monitoring variable measurement value set of which the adjacent interval time is the second preset time length by adopting a linear interpolation method.
Preferably, the determining, according to the monitored variable signal and the standard deviation of the difference waveform signal between the sinusoidal signals assigned with the plurality of different preset phases at each of the preset frequencies, the true phase of the sinusoidal component at each of the preset frequencies in the monitored variable signal specifically includes:
for any sine wave signal with the preset frequency, subtracting a plurality of sine wave signals with different preset phases under the preset frequency from the monitoring variable signal respectively to obtain a plurality of difference waveform signals;
calculating a standard deviation of each of the difference waveform signals;
and taking the phase of the sine wave signal corresponding to the difference waveform signal with the minimum standard deviation as the real phase of the sine wave component with the preset frequency in the monitoring variable signal.
In order to solve the above technical problem, the present invention further provides a frequency domain analysis device for monitoring variables of a wind turbine, including:
the data preparation module is used for acquiring monitoring variable signals of the fundamental frequency to be identified and generating a plurality of sine wave signals with different preset frequencies;
a determining module, configured to determine, according to the monitored variable signal and a standard deviation of a difference waveform signal between the sinusoidal signals assigned with a plurality of different preset phases at each of the preset frequencies, a true phase of a sinusoidal component at each of the preset frequencies in the monitored variable signal;
an assignment module, configured to assign a phase of the sine wave signal at each preset frequency to the real phase corresponding to the preset frequency;
the calculation module is used for taking the preset frequency of the sine wave signal corresponding to the smallest standard deviation in the standard deviations of the difference waveform signals between the monitoring variable signal and the sine wave signals subjected to phase assignment as the fundamental frequency of the monitoring variable signal;
and the analysis module is used for carrying out frequency domain analysis on the monitoring variable signal according to the fundamental frequency so as to carry out fault diagnosis on the wind turbine generator.
Preferably, the acquiring of the monitoring variable signal of the fundamental frequency to be identified specifically includes:
and acquiring a set of monitoring variable measured values acquired within a first preset time in the past and taking the set as a monitoring variable signal of the fundamental frequency to be identified.
Preferably, the frequency domain analysis device for the monitoring variable of the wind turbine further includes:
and the integration module is used for integrating the plurality of monitoring variable measurement values in the set of monitoring variable signals into an equal-interval monitoring variable measurement value set, wherein adjacent interval time is the second preset time length.
In order to solve the above technical problem, the present invention further provides a frequency domain analysis device for monitoring variables of a wind turbine, including:
a memory for storing a computer program;
a processor for implementing the steps of the frequency domain analysis method for the monitored variables of the wind turbine generator set according to any one of the above when the computer program is executed.
The invention provides a frequency domain analysis method for monitoring variables of a wind turbine generator, which comprises the steps of firstly, after the real phase of a sine wave signal under each preset frequency is determined, because the influence of a sine wave component corresponding to a fundamental frequency on the monitoring variable signal is the largest, the preset frequency of the sine wave signal with the minimum standard deviation of a difference waveform signal of the monitoring variable signal can be used as the fundamental frequency of the monitoring variable signal, and importantly, compared with FFT (fast Fourier transform algorithm), the difference operation and the standard deviation operation adopted in the method are both basic algebraic operations, the requirement on the computing capacity of a controller of the wind turbine generator is low, so that the use threshold can be effectively reduced, and the cost is saved.
The invention also provides a frequency domain analysis device and equipment for the monitoring variables of the wind turbine generator, and the frequency domain analysis device and equipment have the same beneficial effects as the frequency domain analysis method for the monitoring variables of the wind turbine generator.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed in the prior art and the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method for analyzing a monitoring variable of a wind turbine generator in a frequency domain according to the present invention;
FIG. 2 is a schematic structural diagram of a frequency domain analysis apparatus for monitoring variables of a wind turbine generator according to the present invention;
fig. 3 is a schematic structural diagram of a frequency domain analysis device for monitoring variables of a wind turbine generator according to the present invention.
Detailed Description
The core of the invention is to provide a frequency domain analysis method for monitoring variables of a wind turbine generator, which has lower requirements on the computing power of a controller in the wind turbine generator, thereby reducing the cost; the other core of the invention is to provide a frequency domain analysis device and equipment for monitoring variables of the wind turbine generator, which have lower requirements on the computing capacity of a controller in the wind turbine generator, thereby reducing the cost.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a schematic flow chart of a frequency domain analysis method for monitoring variables of a wind turbine generator provided by the present invention, including:
step S1: acquiring a monitoring variable signal of a fundamental frequency to be identified and generating a plurality of sine wave signals with different preset frequencies;
specifically, in order to perform frequency domain analysis on the monitoring variable signal, the monitoring variable signal of the fundamental frequency to be identified must be acquired as a data base, and meanwhile, a plurality of sine wave signals with different preset frequencies can be generated as a data base in the processing process of the subsequent step, so that the plurality of sine wave signals with different preset frequencies are generated because the monitoring variable signal is actually composed of a plurality of sine wave components with different frequencies.
The monitoring variable signal may be various types of signals of the wind turbine generator system, for example, a vibration acceleration signal or a rotation speed signal, and the embodiment of the present invention is not limited herein.
For example, when the monitored variable signal is a vibration acceleration signal, the effective frequency of the vibration acceleration of the nacelle of the wind turbine generator is generally below 5Hz according to the characteristic of the vibration acceleration signal, and therefore, the effective frequency may be set to a plurality of preset frequencies between 0 and 5Hz, such as [0.1,0.2,0.2.. 5], and the like, which is not limited herein in the embodiments of the present invention.
Step S2: determining the real phase of the sine wave component of each preset frequency in the monitored variable signal according to the monitored variable signal and the standard deviation of the difference waveform signal between the sine wave signals assigned with a plurality of different preset phases under each preset frequency;
specifically, the preset frequency in the embodiment of the present invention may be regarded as an estimated frequency of an actual sine wave component in the monitored variable signal, and in order to find out a fundamental frequency from the plurality of preset frequencies in the subsequent step, in the embodiment of the present invention, phases of the plurality of sine wave signals with different preset frequencies must be determined first, where the phase of the plurality of sine wave signals with different preset frequencies actually refers to a phase corresponding to the sine wave component with the actual frequency being the preset frequency.
In the embodiment of the present invention, a plurality of different preset phases are assigned to the sine wave signal at each preset frequency, for example, 8 different preset phases are assigned to the sine wave signal at the frequency of 1Hz, where the number and specific size of the preset phases may be set independently, the plurality of different preset phases of the sine wave signal at the plurality of preset frequencies may be set uniformly or differently, for example, all the preset phases may be set as different phases
And the like, embodiments of the present invention are not limited thereto.
Specifically, for each group of sine wave signals with different preset phases but same preset frequency, the embodiment of the invention can make a difference between the monitored variable signal and each sine wave signal one by one to obtain a difference waveform signal, so as to determine the real phase of each sine wave component with preset frequency in the monitored variable signal according to the standard deviation of the difference waveform signal, and the calculation method for making the difference is simple, the processing speed is high, and the requirement on hardware is low.
The specific expression of the sine wave signal may be as follows:
where Gain is a predetermined amplitude (e.g., 0.001), f is a predetermined frequency,
is a predetermined phase.
Step S3: assigning the phase of the sine wave signal under each preset frequency as a real phase corresponding to the preset frequency;
specifically, since the real phase that the sine wave signal at each preset frequency should have is determined in the previous step, each real phase may be assigned to the sine wave signal at the corresponding preset frequency in this step, so that each sine wave signal is closer to the actual sine wave component, and the fundamental frequency of the monitoring variable signal is accurately found in the processing process of the subsequent step.
Step S4: taking the preset frequency of the sine wave signal corresponding to the minimum standard deviation in the standard deviations of the difference waveform signals between the monitoring variable signal and the sine wave signal subjected to phase assignment as the fundamental frequency of the monitoring variable signal;
specifically, because the proportion of the sine wave component corresponding to the fundamental frequency in the monitored variable signal is large, and the influence of the sine wave component on the monitored variable signal is also maximum, for the monitored variable signal, the standard deviation (i.e., the dispersion degree) of the difference waveform signal between the sine wave signal corresponding to the non-fundamental frequency and the monitored variable signal is large, and the standard deviation of the difference waveform signal between the sine wave signal corresponding to the fundamental frequency and the monitored variable signal is small, so that the preset frequency of the sine wave signal with the minimum standard deviation of the difference waveform signal between the sine wave signal and the monitored variable signal can be used as the fundamental frequency of the monitored variable signal, so that the accurate fundamental frequency can be obtained.
Step S5: and carrying out frequency domain analysis on the monitoring variable signal according to the fundamental frequency so as to carry out fault diagnosis on the wind turbine generator.
Specifically, the frequency domain analysis can be performed on the monitoring variable signal according to the obtained fundamental frequency, so that the monitoring variable signal of the wind turbine generator can be analyzed by adopting a frequency domain analysis method, the fault of the wind turbine generator can be more accurately determined, the safety of the wind turbine generator is improved, and the calculation methods used for obtaining the fundamental frequency in the embodiment of the invention are all basic algebraic operations, so that the cost for the wind turbine generator to realize the frequency domain analysis is reduced.
The invention provides a frequency domain analysis method for monitoring variables of a wind turbine generator, which comprises the steps of firstly, after the real phase of a sine wave signal under each preset frequency is determined, because the influence of a sine wave component corresponding to a fundamental frequency on the monitoring variable signal is the largest, the preset frequency of the sine wave signal with the minimum standard deviation of a difference waveform signal of the monitoring variable signal can be used as the fundamental frequency of the monitoring variable signal, and importantly, compared with FFT (fast Fourier transform algorithm), the difference operation and the standard deviation operation adopted in the method are both basic algebraic operations, the requirement on the computing capacity of a controller of the wind turbine generator is low, so that the use threshold can be effectively reduced, and the cost is saved.
On the basis of the above-described embodiment:
as a preferred embodiment, the obtaining of the monitored variable signal of the fundamental frequency to be identified specifically includes:
and acquiring a set of monitoring variable measured values acquired within a first preset time in the past and taking the set as a monitoring variable signal of the fundamental frequency to be identified.
Specifically, the term "past" may refer to the past immediately after the current time, which is equivalent to obtaining the measured value of the monitoring variable that has just occurred, and may be used to process the monitoring variable signal in time to obtain the fundamental frequency of the monitoring variable signal and perform frequency domain analysis on the monitoring variable signal, so as to find the fault of the wind turbine generator in time and deal with the fault in time.
The first preset time period may be set autonomously, but it should at least include a sampling period of two measured monitoring variables, so as to obtain the at least two measured monitoring variables and form a monitoring variable signal, which may be set to 30s or 60s, for example, and the embodiment of the present invention is not limited herein.
Of course, besides the specific form in the embodiment of the present invention, the acquisition of the monitored variable signal of the fundamental frequency to be identified may also be in other specific forms, and the embodiment of the present invention is not limited herein.
As a preferred embodiment, after acquiring a set of monitoring variable measurement values acquired within a first preset time period in the past and taking the set as a monitoring variable signal of a fundamental frequency to be identified, before generating a plurality of sine wave signals of different preset frequencies, the frequency domain analysis method for the monitoring variable of the wind turbine further includes:
and integrating a plurality of monitoring variable measurement values in the monitoring variable measurement value set into an equal interval monitoring variable measurement value set, wherein adjacent interval time is the second preset time length.
Specifically, it is considered that although the controller may periodically store the acquired monitored variable measurement values, a fixed time interval may be formed in an ideal state, but due to a change of hardware characteristics along with time and other factors or a reason that a storage speed is slow due to an excessive processing task, a situation that a certain error occurs between a time interval between two stored adjacent monitored variable measurement values and a preset storage period may possibly occur, and in such a situation, it is not favorable for performing accurate calculation by using the monitored variable signal in a subsequent step, and therefore, in the embodiment of the present invention, a plurality of monitored variable measurement values in a set of the monitored variable signals may be integrated into an equidistant monitored variable measurement value set in which adjacent interval times are the second preset time length.
The second preset time period may be set autonomously, for example, may be set to 1ms, and the embodiment of the present invention is not limited herein.
As a preferred embodiment, the set of measurement values of the monitoring variables at equal intervals is specifically:
wherein ω is 2 π fBOmega is the angular frequency of the fundamental frequency of the monitoring variable signal, fBFor monitoring the fundamental frequency of the variable signal, A is the amplitude of the fundamental frequency, β is the phase of the fundamental frequency signal, AiAmplitude, ω, of sinusoidal components corresponding to frequencies other than the fundamental frequencyiFor frequencies of sinusoidal components corresponding to frequencies other than the fundamental frequency, βiThe phases of the corresponding sinusoidal components for frequencies other than the fundamental frequency.
Specifically, the specific form in the embodiment of the present invention can accurately and simply express the monitored variable signal of the set of equally spaced monitored variable measurement values.
Of course, besides the specific form in the embodiment of the present invention, the set of measurement values of the monitoring variable at equal intervals may also be in other various forms, and the embodiment of the present invention is not limited herein.
Specifically, the calculation process of the standard deviation may be:
wherein a predetermined frequency f and a predetermined phase are determined
As a two-dimensional matrix of coordinates
Then according to a two-dimensional matrix
The minimum value Array (f) of the Array (f) can be obtained by finding the minimum value of a certain frequencyminI.e. the fundamental frequency point, to this endThe fundamental frequency can be extracted, and the process of calculating the amplitude of the sinusoidal component with a known frequency in the monitored variable signal is performed by a filter or other methods, which will not be described herein.
As a preferred embodiment, integrating a plurality of monitored variable measurement values in the set of monitored variable signals into an equidistant monitored variable measurement value set whose adjacent interval times are all the second preset duration specifically includes:
and integrating a plurality of monitoring variable measurement values in the monitoring variable signal set into an equal-interval monitoring variable measurement value set with adjacent interval time being second preset duration by adopting a linear interpolation method.
Specifically, the linear interpolation method has the advantages of high speed, high accuracy and the like.
Of course, besides the linear interpolation method, other types of methods may be adopted to integrate the multiple measured values of the monitored variables in the set of monitored variable signals into the set of measured values of the monitored variables at equal intervals, where the adjacent interval times are all the second preset time duration.
As a preferred embodiment, determining, according to the monitored variable signal and the standard deviation of the difference waveform signal between the sine wave signals assigned with the plurality of different preset phases at each preset frequency, the true phase of the sine wave component at each preset frequency in the monitored variable signal is specifically:
for a sine wave signal with any preset frequency, subtracting a plurality of sine wave signals with different preset phases under the preset frequency from the monitoring variable signal respectively to obtain a plurality of difference waveform signals;
calculating the standard deviation of each difference waveform signal;
and taking the phase of the sine wave signal corresponding to the difference waveform signal with the minimum standard deviation as the real phase of the sine wave component with the preset frequency in the monitoring variable signal.
Specifically, when the phases of the two signals are relatively close to or even the same as each other, the standard deviation of the difference waveform signal of the two signals is the smallest, so in the embodiment of the present invention, the sine wave signal with the smallest standard deviation can be found by calculating the standard deviation of the difference waveform signals of the sine wave signals with different phases one by one, and the corresponding phase is used as the real phase of the sine wave component with the preset frequency in the monitoring variable signal, and since the sine wave signal is actually the simulated sine wave component, the real phase can be assigned to the sine wave signal with the corresponding preset frequency.
Of course, in addition to the method mentioned in the embodiment of the present invention, determining the true phase of the sinusoidal component at each preset frequency in the monitored variable signal may be performed in other specific processes according to the monitored variable signal and the standard deviation of the difference waveform signal between the sinusoidal signals assigned with the plurality of different preset phases at each preset frequency, which is not limited herein.
Referring to fig. 2, fig. 2 is a schematic structural diagram of a frequency domain analysis apparatus for monitoring variables of a wind turbine generator provided by the present invention, including:
the data preparation module 1 is used for acquiring monitoring variable signals of fundamental frequencies to be identified and generating a plurality of sine wave signals with different preset frequencies;
the difference making module 2 is used for determining the real phase of the sine wave component of each preset frequency in the monitored variable signal according to the monitored variable signal and the standard deviation of the difference waveform signal between the sine wave signals assigned with a plurality of different preset phases under each preset frequency;
the assignment module 3 is configured to assign the phase of the sine wave signal at each preset frequency to a real phase corresponding to the preset frequency;
the calculation module 4 is configured to use, as the fundamental frequency of the monitored variable signal, a preset frequency of the sine wave signal corresponding to a minimum standard deviation in standard deviations of difference waveform signals between the monitored variable signal and the sine wave signal subjected to phase assignment;
and the analysis module 5 is used for carrying out frequency domain analysis on the monitoring variable signal according to the fundamental frequency so as to carry out fault diagnosis on the wind turbine generator.
As a preferred embodiment, the obtaining of the monitored variable signal of the fundamental frequency to be identified specifically includes:
and acquiring a set of monitoring variable measured values acquired within a first preset time in the past and taking the set as a monitoring variable signal of the fundamental frequency to be identified.
As a preferred embodiment, the frequency domain analysis device for monitoring variables of a wind turbine further includes:
and the integration module is used for integrating the plurality of monitoring variable measurement values in the set of monitoring variable signals into an equal-interval monitoring variable measurement value set, wherein adjacent interval time is the second preset time length.
For the introduction of the frequency domain analysis device for the monitoring variable of the wind turbine generator according to the embodiment of the present invention, please refer to the foregoing embodiment of the frequency domain analysis method for the monitoring variable of the wind turbine generator, which is not described herein again.
Referring to fig. 3, fig. 3 is a schematic structural diagram of a frequency domain analysis device for monitoring variables of a wind turbine generator provided by the present invention, including:
a memory 6 for storing a computer program;
the processor 7 is configured to implement the steps of the frequency domain analysis method for the monitored variable of the wind turbine generator set when executing the computer program.
For the introduction of the frequency domain analysis device for the monitoring variable of the wind turbine generator provided in the embodiment of the present invention, please refer to the foregoing embodiment of the frequency domain analysis method for the monitoring variable of the wind turbine generator, which is not described herein again.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
It is further noted that, in the present specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A frequency domain analysis method for monitoring variables of a wind turbine generator is characterized by comprising the following steps:
acquiring a monitoring variable signal of a fundamental frequency to be identified and generating a plurality of sine wave signals with different preset frequencies;
determining the real phase of the sine wave component of each preset frequency in the monitoring variable signal according to the monitoring variable signal and the standard deviation of the difference waveform signal between the sine wave signals assigned with a plurality of different preset phases under each preset frequency;
assigning the phase of the sine wave signal at each preset frequency to the real phase corresponding to the preset frequency;
taking the preset frequency of the sine wave signal corresponding to the smallest standard deviation in the standard deviations of the difference waveform signals between the monitoring variable signal and the sine wave signal subjected to phase assignment as the fundamental frequency of the monitoring variable signal;
and carrying out frequency domain analysis on the monitoring variable signal according to the fundamental frequency so as to carry out fault diagnosis on the wind turbine generator.
2. The frequency domain analysis method for the monitored variables of the wind turbine generator set according to claim 1, wherein the obtaining of the monitored variable signal of the fundamental frequency to be identified specifically comprises:
and acquiring a set of monitoring variable measured values acquired within a first preset time in the past and taking the set as a monitoring variable signal of the fundamental frequency to be identified.
3. The method according to claim 2, wherein after acquiring the set of measured values of the monitoring variables collected within a first preset time period in the past and using the set as the signals of the monitoring variables of the fundamental frequency to be identified, and before generating the sine wave signals of the plurality of different preset frequencies, the method further comprises:
and integrating a plurality of monitoring variable measurement values in the monitoring variable measurement value set into an equal interval monitoring variable measurement value set, wherein adjacent interval time is the second preset time length.
4. The frequency domain analysis method for the monitored variables of the wind turbine generator set according to claim 3, wherein the set of measured values of the equally spaced monitored variables is specifically:
wherein ω is 2 π fBω is the angular frequency of the fundamental frequency of the monitoring variable signal, fBIs the fundamental frequency of the monitor variable signal, A is the amplitude of the fundamental frequency, β is the fundamental frequencyPhase of the signal, AiAmplitude, ω, of sinusoidal components corresponding to frequencies other than the fundamental frequencyiFor frequencies of sinusoidal components corresponding to frequencies other than the fundamental frequency, βiThe phases of the corresponding sinusoidal components for frequencies other than the fundamental frequency.
5. The frequency domain analysis method for the monitored variables of the wind turbine generator set according to claim 3, wherein the integration of the plurality of monitored variable measurement values in the set of monitored variable measurement values into the set of equidistant monitored variable measurement values with adjacent interval times all being a second preset duration specifically comprises:
and integrating a plurality of monitoring variable measurement values in the monitoring variable measurement value set into an equal-interval monitoring variable measurement value set of which the adjacent interval time is the second preset time length by adopting a linear interpolation method.
6. The method for frequency domain analysis of the monitored variables of the wind turbine generator set according to any one of claims 1 to 5, wherein the determining, according to the monitored variable signals and the standard deviation of the difference waveform signals between the sinusoidal signals assigned with a plurality of different preset phases at each of the preset frequencies, the true phases of the sinusoidal components at each of the preset frequencies in the monitored variable signals are specifically:
for any sine wave signal with the preset frequency, subtracting a plurality of sine wave signals with different preset phases under the preset frequency from the monitoring variable signal respectively to obtain a plurality of difference waveform signals;
calculating a standard deviation of each of the difference waveform signals;
and taking the phase of the sine wave signal corresponding to the difference waveform signal with the minimum standard deviation as the real phase of the sine wave component with the preset frequency in the monitoring variable signal.
7. The utility model provides a frequency domain analytical equipment of monitoring variable of wind turbine generator system which characterized in that includes:
the data preparation module is used for acquiring monitoring variable signals of the fundamental frequency to be identified and generating a plurality of sine wave signals with different preset frequencies;
a determining module, configured to determine, according to the monitored variable signal and a standard deviation of a difference waveform signal between the sinusoidal signals assigned with a plurality of different preset phases at each of the preset frequencies, a true phase of a sinusoidal component at each of the preset frequencies in the monitored variable signal;
an assignment module, configured to assign a phase of the sine wave signal at each preset frequency to the real phase corresponding to the preset frequency;
the calculation module is used for taking the preset frequency of the sine wave signal corresponding to the smallest standard deviation in the standard deviations of the difference waveform signals between the monitoring variable signal and the sine wave signals subjected to phase assignment as the fundamental frequency of the monitoring variable signal;
and the analysis module is used for carrying out frequency domain analysis on the monitoring variable signal according to the fundamental frequency so as to carry out fault diagnosis on the wind turbine generator.
8. The frequency domain analysis device for the monitored variables of the wind turbine generator set according to claim 7, wherein the obtaining of the monitored variable signal of the fundamental frequency to be identified specifically comprises:
and acquiring a set of monitoring variable measured values acquired within a first preset time in the past and taking the set as a monitoring variable signal of the fundamental frequency to be identified.
9. The apparatus for frequency domain analysis of a monitored variable of a wind turbine according to claim 8, wherein the apparatus for frequency domain analysis of a monitored variable of a wind turbine further comprises:
and the integration module is used for integrating the plurality of monitoring variable measurement values in the set of monitoring variable signals into an equal-interval monitoring variable measurement value set, wherein adjacent interval time is the second preset time length.
10. A frequency domain analysis device for monitoring variables of a wind turbine generator, comprising:
a memory for storing a computer program;
processor for implementing the steps of the method for frequency domain analysis of a monitored variable of a wind turbine as claimed in any of claims 1 to 6 when executing said computer program.
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Effective date of registration: 20210823 Address after: 401122 No.30, Jinyu Avenue, jingkaiyuan, northern New District, Yubei District, Chongqing Patentee after: CSIC HAIZHUANG WINDPOWER Co.,Ltd. Patentee after: China Shipbuilding Group Co.,Ltd. Address before: 401122 No.30, Jinyu Avenue, jingkaiyuan, northern New District, Yubei District, Chongqing Patentee before: CSIC HAIZHUANG WINDPOWER Co.,Ltd. |