CN116136206A - Characteristic oscillation frequency early warning method and system of wind turbine generator - Google Patents
Characteristic oscillation frequency early warning method and system of wind turbine generator Download PDFInfo
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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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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
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Abstract
The application provides a characteristic oscillation frequency early warning method and system of a wind turbine generator, wherein the method comprises the following steps: dividing a wind turbine into N combined parts, and acquiring characteristic frequencies of the combined parts; determining a torque excitation source value corresponding to each combined part according to the characteristic frequency of each combined part; determining the characteristic oscillation frequency of each combined part according to the torque excitation source value corresponding to each combined part; early warning is carried out on the characteristic oscillation frequency of the wind turbine generator based on the characteristic oscillation frequency of each combined part; wherein N is an integer greater than or equal to 1. According to the technical scheme, the dangerous frequency set of the current unit in the current operation environment is obtained for early warning, so that the unit can avoid the frequencies to operate, and the risk of internal self-oscillation of the unit is greatly reduced.
Description
Technical Field
The application relates to the field of oscillation frequency early warning, in particular to a characteristic oscillation frequency early warning method and system of a wind turbine generator.
Background
In the design and normal operation of the wind turbine, the oscillation phenomenon in the running process of the wind turbine can be avoided through various technical means. For example, characteristic frequencies of all parts of the wind turbine generator are detected in advance, and in actual operation, rotating speeds corresponding to the frequencies are set as a rapid transition zone, so that overlong stay in the frequency zone is avoided; and in the running process, the motion and physical quantity fluctuation conditions of all parts of the unit are monitored in real time, and the phenomenon that the vibration is detected, the unit is stopped as soon as possible for maintenance and the like is found.
The prior art scheme only avoids the problems in design and operation and carries out emergency treatment on the unit which starts to oscillate. But the characteristic oscillation frequency of the unit cannot be pre-warned, that is, the integral oscillation risk generated by the unit under the excitation of which frequency signal cannot be known in advance in operation, so that the risk of internal self-oscillation of the unit is high.
Disclosure of Invention
The application provides a characteristic oscillation frequency early warning method and system of a wind turbine generator to at least solve the technical problem that the risk of internal self-oscillation of the wind turbine generator is high.
An embodiment of a first aspect of the present application provides a characteristic oscillation frequency early warning method for a wind turbine generator, where the method includes:
dividing a wind turbine into N combined parts, and acquiring characteristic frequencies of the combined parts;
determining a torque excitation source value corresponding to each combined part according to the characteristic frequency of each combined part;
determining the characteristic oscillation frequency of each combined part according to the torque excitation source value corresponding to each combined part;
early warning is carried out on the characteristic oscillation frequency of the wind turbine generator based on the characteristic oscillation frequency of each combined part;
wherein N is an integer greater than or equal to 1.
Preferably, the dividing the wind turbine generator into N combined components includes:
dividing the wind turbine into N combined components based on the affordable complexity of each component in the wind turbine.
Preferably, the calculation formula of the torque excitation source value corresponding to each combination part is as follows:
wherein x is i,t For the torque excitation source value corresponding to the moment t of the ith combined part, F i For characteristic frequency of the ith combined part, B j Is the value of the j characteristic frequency multiplier, j epsilon [ 1-M ]]M is the total number of characteristic frequency multipliers.
Further, the determining the characteristic oscillation frequency of each combined component according to the torque excitation source value corresponding to each combined component includes:
sequentially applying torque excitation sources to a rotating shaft of the wind turbine generator to obtain a generator rotating speed value curve of the wind turbine generator under each torque excitation source value;
fourier analysis is respectively carried out on the generator speed value curves of the wind turbine generator under each torque excitation source value, and signal amplification factors of each characteristic frequency corresponding to each torque excitation source value are obtained;
determining the frequency value under each signal amplification factor corresponding to each torque excitation source value according to the signal amplification factor of each characteristic frequency corresponding to each torque excitation source value;
and determining the characteristic oscillation frequency of each combined part according to the frequency value of each signal amplification factor corresponding to each torque excitation source value.
Further, the determining the characteristic oscillation frequency of each combined component according to the frequency value under each signal amplification factor corresponding to each torque excitation source value includes:
the maximum frequency value is screened out from the frequency values under the amplification factors of the signals corresponding to the torque excitation source values;
the maximum frequency value corresponding to each torque excitation source value is used as the characteristic oscillation frequency of each combined component.
Preferably, the early warning of the characteristic oscillation frequency of the wind turbine generator based on the characteristic oscillation frequency of each combined component includes:
acquiring the absolute value of the difference between the running frequency of the wind turbine and the characteristic oscillation frequency of each combined part;
and when the number of the absolute values of the differences which are smaller than or equal to the preset alarm threshold is larger than or equal to 1, carrying out early warning on the characteristic oscillation frequency of the wind turbine generator.
An embodiment of a second aspect of the present application provides a characteristic oscillation frequency early warning system of a wind turbine generator, where the system includes:
the division module is used for dividing the wind turbine into N combined parts and acquiring the characteristic frequency of each combined part;
the first determining module is used for determining torque excitation source values corresponding to the combined components according to the characteristic frequencies of the combined components;
the second determining module is used for determining the characteristic oscillation frequency of each combined part according to the torque excitation source value corresponding to each combined part;
the early warning module is used for carrying out early warning on the characteristic oscillation frequency of the wind turbine generator based on the characteristic oscillation frequency of each combined part;
wherein N is an integer greater than or equal to 1.
Preferably, the dividing the wind turbine generator into N combined components includes:
dividing the wind turbine into N combined components based on the affordable complexity of each component in the wind turbine.
Further, the second determining module includes:
the first acquisition unit is used for sequentially applying torque excitation sources to the rotating shaft of the wind turbine generator to obtain a generator rotating speed value curve of the wind turbine generator under each torque excitation source value;
the analysis unit is used for carrying out Fourier analysis on the generator speed value curves of the wind turbine generator under each torque excitation source value respectively to obtain signal amplification factors of each characteristic frequency corresponding to each torque excitation source value;
the first determining unit is used for determining the frequency value under each signal amplification factor corresponding to each torque excitation source value according to the signal amplification factor of each characteristic frequency corresponding to each torque excitation source value;
and the second determining unit is used for determining the characteristic oscillation frequency of each combined component according to the frequency value of each signal amplification factor corresponding to each torque excitation source value.
Further, the second determining unit includes:
the screening sub-module is used for screening out the maximum frequency value from the frequency values under the amplification factors of the signals corresponding to the torque excitation source values respectively;
and the determining submodule is used for taking the maximum frequency value corresponding to each torque excitation source value as the characteristic oscillation frequency of each combined component.
The technical scheme provided by the embodiment of the application at least brings the following beneficial effects:
the application provides a characteristic oscillation frequency early warning method and system of a wind turbine generator, wherein the method comprises the following steps: dividing a wind turbine into N combined parts, and acquiring characteristic frequencies of the combined parts; determining a torque excitation source value corresponding to each combined part according to the characteristic frequency of each combined part; determining the characteristic oscillation frequency of each combined part according to the torque excitation source value corresponding to each combined part; early warning is carried out on the characteristic oscillation frequency of the wind turbine generator based on the characteristic oscillation frequency of each combined part; wherein N is an integer greater than or equal to 1. According to the technical scheme, the dangerous frequency set of the current unit in the current operation environment is obtained for early warning, so that the unit can avoid the frequencies to operate, and the risk of internal self-oscillation of the unit is greatly reduced.
Additional aspects and advantages of the application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the application.
Drawings
The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, wherein:
FIG. 1 is a flowchart of a characteristic oscillation frequency early warning method of a wind turbine according to an embodiment of the present application;
FIG. 2 is a block diagram of a characteristic oscillation frequency early warning system of a wind turbine according to an embodiment of the present disclosure;
FIG. 3 is a block diagram of a second determination module provided in accordance with one embodiment of the present application;
fig. 4 is a block diagram of a second determination unit provided according to an embodiment of the present application;
fig. 5 is a block diagram of an early warning module according to an embodiment of the present application.
Detailed Description
Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the drawings are exemplary and intended for the purpose of explaining the present application and are not to be construed as limiting the present application.
The characteristic oscillation frequency early warning method and system for the wind turbine generator set, wherein the method comprises the following steps: dividing a wind turbine into N combined parts, and acquiring characteristic frequencies of the combined parts; determining a torque excitation source value corresponding to each combined part according to the characteristic frequency of each combined part; determining the characteristic oscillation frequency of each combined part according to the torque excitation source value corresponding to each combined part; early warning is carried out on the characteristic oscillation frequency of the wind turbine generator based on the characteristic oscillation frequency of each combined part; wherein N is an integer greater than or equal to 1. According to the technical scheme, the dangerous frequency set of the current unit in the current operation environment is obtained for early warning, so that the unit can avoid the frequencies to operate, and the risk of internal self-oscillation of the unit is greatly reduced.
The characteristic oscillation frequency early warning method and system of the wind turbine generator set in the embodiment of the application are described below with reference to the accompanying drawings.
Example 1
Fig. 1 is a flowchart of a characteristic oscillation frequency early warning method of a wind turbine according to an embodiment of the present application, as shown in fig. 1, where the method includes:
step 1: dividing a wind turbine into N combined parts, and acquiring characteristic frequencies of the combined parts;
wherein N is an integer greater than or equal to 1.
In an embodiment of the present disclosure, the dividing the wind turbine into N combined components includes:
dividing the wind turbine into N combined components based on the affordable complexity of each component in the wind turbine.
Step 2: and determining the torque excitation source value corresponding to each combined component according to the characteristic frequency of each combined component.
The calculation formula of the torque excitation source value corresponding to each of the combination parts is as follows:
wherein x is i,t For the torque excitation source value corresponding to the moment t of the ith combined part, F i For characteristic frequency of the ith combined part, B j Is the value of the j characteristic frequency multiplier, j epsilon [ 1-M ]]M is the total number of characteristic frequency multipliers.
Step 3: and determining the characteristic oscillation frequency of each combined part according to the torque excitation source value corresponding to each combined part.
In an embodiment of the present disclosure, the step 3 specifically includes:
step 3-1: sequentially applying torque excitation sources to a rotating shaft of the wind turbine generator to obtain a generator rotating speed value curve of the wind turbine generator under each torque excitation source value;
step 3-2: fourier analysis is respectively carried out on the generator speed value curves of the wind turbine generator under each torque excitation source value, and signal amplification factors of each characteristic frequency corresponding to each torque excitation source value are obtained;
wherein the formula is used
And calculating signal amplification factors of all the characteristic frequencies, wherein s (m) is the signal amplification factor of the m-th characteristic frequency, and Y (m) is the amplitude of a signal with m multiplied by Fi after Fourier analysis is performed on a generator rotating speed value curve of the wind turbine generator.
Step 3-3: determining the frequency value under each signal amplification factor corresponding to each torque excitation source value according to the signal amplification factor of each characteristic frequency corresponding to each torque excitation source value;
step 3-4: and determining the characteristic oscillation frequency of each combined part according to the frequency value of each signal amplification factor corresponding to each torque excitation source value.
Wherein, the steps 3-4 specifically comprise:
step 3-4-1: the maximum frequency value is screened out from the frequency values under the amplification factors of the signals corresponding to the torque excitation source values;
step 3-4-2: the maximum frequency value corresponding to each torque excitation source value is used as the characteristic oscillation frequency of each combined component.
The characteristic oscillation frequency refers to a characteristic frequency of the wind turbine generator, which has stronger amplification and amplitude enhancement effects on vibration of a certain frequency, so that the wind turbine generator is in a dangerous running state.
Step 4: and carrying out early warning on the characteristic oscillation frequency of the wind turbine generator based on the characteristic oscillation frequency of each combined part.
It should be noted that, the step 4 specifically includes:
acquiring the absolute value of the difference between the running frequency of the wind turbine and the characteristic oscillation frequency of each combined part;
and when the number of the absolute values of the differences which are smaller than or equal to the preset alarm threshold is larger than or equal to 1, carrying out early warning on the characteristic oscillation frequency of the wind turbine generator.
In order to more clearly illustrate the implementation flow of the characteristic oscillation frequency early warning method of the wind turbine generator in the embodiment of the present application, the following details are described in a specific method embodiment:
1) Decomposing the wind turbine into N combined components (N can be freely selected according to the complexity of the system, and is 10-100), inputting the characteristic frequency of each component, and marking the total N characteristic frequencies as F1-FN;
2) Let i=1;
3) Independent torque excitation source x is applied to rotating shaft of wind turbine generator i,t ：
Wherein x is i,t For the torque excitation source value corresponding to the moment t of the ith combined part, F i For characteristic frequency of the ith combined part, B j Is the value of the j characteristic frequency multiplier, j epsilon [ 1-M ]]M is the total number of characteristic frequency multipliers, and generally 10-50 is taken;
4) Detecting a rotating speed wi (t) curve of a generator of the wind turbine generator, performing Fourier analysis on the curve, and obtaining signal amplification factors of each frequency in 1-M, wherein the signal amplification factor of the mth frequency is calculated as follows:
wherein Y (m) is the amplitude of a signal with m×Fi after Fourier analysis is performed on a wi (t) curve;
5) Taking the frequency value mmax Fi corresponding to the largest s (mmax) in 1-M as the output frequency value of the cycle.
6) Judging whether i is smaller than N, if so, making i=i+1, and returning to 3); if not, 7) is carried out;
7) Outputting all the formed mmax×Fi frequency value sets in the circulation, and outputting N elements as calculation results, namely the operation frequency which is needed to be avoided in the operation of the wind turbine generator at the time;
8) Acquiring the absolute value of the difference value of the operating frequency of the wind turbine and the characteristic oscillation frequency of each combined component in the frequency value set;
and when the number of the absolute values of the differences which are smaller than or equal to the preset alarm threshold is larger than or equal to 1, carrying out early warning on the characteristic oscillation frequency of the wind turbine generator.
In summary, in the characteristic oscillation frequency early warning method of the wind turbine generator set provided by the embodiment, in the running process of the wind turbine generator set, the amplitude amplification amplitude of each possible characteristic frequency is calculated by analyzing the signal waveforms of the characteristic input quantity and the output quantity of the wind turbine generator set, and the dangerous frequency set of the current wind turbine generator set in the current running environment is obtained by analysis and comparison, so that the wind turbine generator set can avoid the frequencies to run, and the risk of internal self-excited oscillation of the wind turbine generator set is greatly reduced.
Example two
Fig. 2 is a structural diagram of a characteristic oscillation frequency early warning system of a wind turbine according to an embodiment of the present application, as shown in fig. 2, the system includes:
the division module 100 is used for dividing the wind turbine into N combined parts and acquiring the characteristic frequency of each combined part;
a first determining module 200, configured to determine a torque excitation source value corresponding to each of the combination parts according to the characteristic frequency of each of the combination parts;
a second determining module 300, configured to determine a characteristic oscillation frequency of each of the combination parts according to the torque excitation source values corresponding to each of the combination parts;
the early warning module 400 is configured to early warn the characteristic oscillation frequency of the wind turbine generator based on the characteristic oscillation frequency of each combined component;
wherein N is an integer greater than or equal to 1.
In an embodiment of the present disclosure, the dividing the wind turbine into N combined components includes:
dividing the wind turbine into N combined components based on the affordable complexity of each component in the wind turbine.
The calculation formula of the torque excitation source value corresponding to each combined component is as follows:
wherein x is i,t For the torque excitation source value corresponding to the moment t of the ith combined part, F i For characteristic frequency of the ith combined part, B j Is the value of the j characteristic frequency multiplier, j epsilon [ 1-M ]]M is the total number of characteristic frequency multipliers.
Further, as shown in fig. 3, the second determining module 300 includes:
the first obtaining unit 301 is configured to sequentially apply torque excitation sources to a rotating shaft of a wind turbine, and obtain a generator rotation speed value curve of the wind turbine under each torque excitation source value;
the analysis unit 302 is configured to perform fourier analysis on the generator speed value curves of the wind turbine generator under each torque excitation source value, so as to obtain signal amplification factors of each characteristic frequency corresponding to each torque excitation source value;
a first determining unit 303, configured to determine a frequency value under each signal amplification factor corresponding to each torque excitation source value according to the signal amplification factor of each characteristic frequency corresponding to each torque excitation source value;
and a second determining unit 304, configured to determine the characteristic oscillation frequency of each of the combination units according to the frequency value of each of the signal amplification factors corresponding to each of the torque excitation source values.
As shown in fig. 4, the second determining unit 304 includes:
the screening submodule 3041 is used for screening out the maximum frequency value from the frequency values under the amplification factors of the signals corresponding to the torque excitation source values;
the determination submodule 3042 is configured to set a frequency maximum value corresponding to each torque excitation source value as a characteristic oscillation frequency of each combined component.
In the embodiment of the disclosure, as shown in fig. 5, the early warning module 400 includes:
a second obtaining unit 401, configured to obtain an absolute value of a difference between an operating frequency of the wind turbine and a characteristic oscillation frequency of each combined component;
and the early warning unit 402 is used for carrying out early warning on the characteristic oscillation frequency of the wind turbine generator set when the number of the preset alarm thresholds is more than or equal to 1 in the absolute value of each difference value.
In summary, in the characteristic oscillation frequency early warning system of the wind turbine generator set provided by the embodiment, in the running process of the wind turbine generator set, the amplitude amplification amplitude of each possible characteristic frequency is calculated by analyzing the signal waveforms of the characteristic input quantity and the output quantity of the wind turbine generator set, and the dangerous frequency set of the current wind turbine generator set in the current running environment is obtained by analysis and comparison, so that the wind turbine generator set can avoid the frequencies to run, and the risk of internal self-excited oscillation of the wind turbine generator set is greatly reduced.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and additional implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.
Although embodiments of the present application have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the application, and that variations, modifications, alternatives, and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the application.
Claims (10)
1. The characteristic oscillation frequency early warning method for the wind turbine generator is characterized by comprising the following steps of:
dividing a wind turbine into N combined parts, and acquiring characteristic frequencies of the combined parts;
determining a torque excitation source value corresponding to each combined part according to the characteristic frequency of each combined part;
determining the characteristic oscillation frequency of each combined part according to the torque excitation source value corresponding to each combined part;
early warning is carried out on the characteristic oscillation frequency of the wind turbine generator based on the characteristic oscillation frequency of each combined part;
wherein N is an integer greater than or equal to 1.
2. The method of claim 1, wherein the dividing the wind turbine into N combined components comprises:
dividing the wind turbine into N combined components based on the affordable complexity of each component in the wind turbine.
3. The method of claim 1, wherein the torque excitation source values for each of the combined components are calculated as follows:
wherein x is i,t For the torque excitation source value corresponding to the moment t of the ith combined part, F i For characteristic frequency of the ith combined part, B j Is the value of the j characteristic frequency multiplier, j epsilon [ 1-M ]]M is the total number of characteristic frequency multipliers.
4. A method according to claim 3, wherein said determining the characteristic oscillation frequency of each combined part from the corresponding torque excitation source value of each combined part comprises:
sequentially applying torque excitation sources to a rotating shaft of the wind turbine generator to obtain a generator rotating speed value curve of the wind turbine generator under each torque excitation source value;
fourier analysis is respectively carried out on the generator speed value curves of the wind turbine generator under each torque excitation source value, and signal amplification factors of each characteristic frequency corresponding to each torque excitation source value are obtained;
determining the frequency value under each signal amplification factor corresponding to each torque excitation source value according to the signal amplification factor of each characteristic frequency corresponding to each torque excitation source value;
and determining the characteristic oscillation frequency of each combined part according to the frequency value of each signal amplification factor corresponding to each torque excitation source value.
5. The method of claim 4, wherein said determining the characteristic oscillation frequency of each combined component from the frequency value at each signal amplification factor corresponding to each torque excitation source value comprises:
the maximum frequency value is screened out from the frequency values under the amplification factors of the signals corresponding to the torque excitation source values;
the maximum frequency value corresponding to each torque excitation source value is used as the characteristic oscillation frequency of each combined component.
6. The method of claim 1, wherein the pre-warning the characteristic oscillation frequency of the wind turbine based on the characteristic oscillation frequency of each of the combined components comprises:
acquiring the absolute value of the difference between the running frequency of the wind turbine and the characteristic oscillation frequency of each combined part;
and when the number of the absolute values of the differences which are smaller than or equal to the preset alarm threshold is larger than or equal to 1, carrying out early warning on the characteristic oscillation frequency of the wind turbine generator.
7. A characteristic oscillation frequency early warning system of a wind turbine generator system, the system comprising:
the division module is used for dividing the wind turbine into N combined parts and acquiring the characteristic frequency of each combined part;
the first determining module is used for determining torque excitation source values corresponding to the combined components according to the characteristic frequencies of the combined components;
the second determining module is used for determining the characteristic oscillation frequency of each combined part according to the torque excitation source value corresponding to each combined part;
the early warning module is used for carrying out early warning on the characteristic oscillation frequency of the wind turbine generator based on the characteristic oscillation frequency of each combined part;
wherein N is an integer greater than or equal to 1.
8. The system of claim 7, wherein the dividing the wind turbine into N combined components comprises:
dividing the wind turbine into N combined components based on the affordable complexity of each component in the wind turbine.
9. The system of claim 8, wherein the second determination module comprises:
the first acquisition unit is used for sequentially applying torque excitation sources to the rotating shaft of the wind turbine generator to obtain a generator rotating speed value curve of the wind turbine generator under each torque excitation source value;
the analysis unit is used for carrying out Fourier analysis on the generator speed value curves of the wind turbine generator under each torque excitation source value respectively to obtain signal amplification factors of each characteristic frequency corresponding to each torque excitation source value;
the first determining unit is used for determining the frequency value under each signal amplification factor corresponding to each torque excitation source value according to the signal amplification factor of each characteristic frequency corresponding to each torque excitation source value;
and the second determining unit is used for determining the characteristic oscillation frequency of each combined component according to the frequency value of each signal amplification factor corresponding to each torque excitation source value.
10. The system of claim 9, wherein the second determining unit comprises:
the screening sub-module is used for screening out the maximum frequency value from the frequency values under the amplification factors of the signals corresponding to the torque excitation source values respectively;
and the determining submodule is used for taking the maximum frequency value corresponding to each torque excitation source value as the characteristic oscillation frequency of each combined component.
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