CN114087136A - Wind turbine generator resonance diagnosis method - Google Patents
Wind turbine generator resonance diagnosis method Download PDFInfo
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- CN114087136A CN114087136A CN202111381705.9A CN202111381705A CN114087136A CN 114087136 A CN114087136 A CN 114087136A CN 202111381705 A CN202111381705 A CN 202111381705A CN 114087136 A CN114087136 A CN 114087136A
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- 238000003745 diagnosis Methods 0.000 title claims abstract description 19
- 238000001514 detection method Methods 0.000 claims description 6
- 230000001133 acceleration Effects 0.000 claims description 3
- 230000002159 abnormal effect Effects 0.000 description 3
- 238000005034 decoration Methods 0.000 description 2
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- 230000004048 modification Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
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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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- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H13/00—Measuring resonant frequency
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- General Physics & Mathematics (AREA)
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Abstract
A wind turbine resonance diagnosis method comprises the following steps: s1, detecting parameters of each component and the whole wind turbine generator under various working states, and analyzing the obtained parameters; s2, calculating the actual vibration frequency of each component and the whole in the wind turbine generator set through analyzing the obtained parameters; s3, judging whether the actual vibration frequency of two or more components enters a preset resonance risk interval or not, and when the actual vibration frequency of at least two components is in the preset interval, judging that resonance risk exists between the components; compared with the prior art, the method needs to analyze the natural frequency of each component, and the method for diagnosing the resonance of the wind turbine generator can quickly and accurately determine the components with resonance risks, so that the resonance diagnosis efficiency is greatly improved.
Description
Technical Field
The invention belongs to the technical field of wind power generation equipment, and particularly relates to a resonance diagnosis method for a wind turbine generator.
Background
When resonance occurs in the wind turbine generator, the resonance is usually ignored due to unobvious phenomenon at the initial stage of the resonance, and the vibration index is raised continuously along with the lapse of time to attract attention, but the damage of parts is often caused at the moment; at present, the resonance problem of a wind turbine generator is generally solved after damage of parts is found, and then a corresponding control method is adopted to reduce the vibration level, so that the resonance problem cannot be timely detected at the initial stage of resonance occurrence to avoid damage of the parts and influence on the safe and reliable operation of the wind turbine generator.
In order to solve the above problems, the chinese patent publication No. CN112985578A discloses a method and an apparatus for diagnosing resonance of a wind turbine generator, the method includes the steps of: s1, monitoring the running state of a target wind turbine generator under each working condition, and outputting the monitored running data; s2, identifying the natural frequency of each part and the whole machine of the target wind turbine generator according to the monitored operation data; and S3, judging whether the identified natural frequencies are abnormal or not, judging whether the specified operation indexes under the working conditions are abnormal or not, judging the relation between the vibration frequency and each natural frequency, and diagnosing whether the target wind turbine generator is resonant or not according to the judgment result. In the diagnostic method, the natural frequency of each component is mainly judged, then the natural frequency of each component is independently analyzed, and whether the natural frequency of each component is abnormal or not is judged.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention aims to provide a wind turbine resonance diagnosis method which has the characteristics that components with resonance risks can be quickly and accurately determined, and the resonance diagnosis efficiency is greatly improved.
A wind turbine resonance diagnosis method comprises the following steps:
s1, detecting parameters of each component and the whole wind turbine generator under various working states; the parameters include one or more of generator speed, rotor speed, active power, torque, and acceleration.
S2, obtaining the actual vibration frequency of each component and the whole body in the wind turbine generator set through the parameters;
and S3, judging whether the actual vibration frequencies of two or more components enter a preset resonance risk interval or not, and when the actual vibration frequencies of at least two components are in the preset resonance risk interval, judging that resonance risks exist between the components.
The wind turbine generator resonance diagnosis method further comprises the following steps:
and S4, detecting the actual amplitude of the component with the resonance risk, comparing the actual amplitude with the theoretical amplitude, and judging that the component has the resonance problem if the actual amplitude of the detected component is larger than the due preset amplitude.
In step S4, an amplitude deviation value is preset, and if the difference between the actual amplitude and the preset amplitude of the detected part is greater than the amplitude deviation value, it can be determined that the part has a resonance problem, and if the difference between the actual amplitude and the preset amplitude of the detected part is less than the amplitude deviation value, it can be determined that the part does not have a resonance problem.
In step S3, if the actual vibration frequencies of at least two components are identical, it can be directly determined that the components have a resonance problem, and further detection is not necessary.
Compared with the prior art, the invention has the beneficial effects that:
1. directly judging whether the actual vibration frequencies of two or more parts are smaller than a preset value or not, if at least the actual vibration frequencies of the two parts are smaller than the preset value, then a resonance risk exists between the parts, through the step, the parts with the resonance risk can be quickly and accurately determined, then further judgment is carried out on the parts with the resonance risk, and for the parts without the resonance risk, further detection judgment is not needed;
2. compared with the prior art, the method needs to analyze the natural frequency of each component, and the method for diagnosing the resonance of the wind turbine generator can quickly and accurately determine the components with resonance risks, so that the resonance diagnosis efficiency is greatly improved.
Drawings
Fig. 1 is a schematic flow diagram of a wind turbine resonance diagnosis method according to the present invention.
Detailed Description
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 only a part of the embodiments of the present invention, and not all of the embodiments.
Referring to fig. 1, a wind turbine resonance diagnosis method includes the following steps:
s1, detecting parameters of each component and the whole wind turbine generator under various working states, and analyzing the obtained parameters;
s2, calculating the actual vibration frequency of each component and the whole in the air outlet motor set by analyzing the obtained parameters;
and S3, judging whether the actual vibration frequencies of two or more components enter a preset resonance risk interval or not, and when the actual vibration frequencies of at least two components are in the preset resonance risk interval, judging that resonance risks exist between the components.
In the embodiment applying the technical scheme, the actual vibration frequencies of each part and the whole in the wind turbine generator set are calculated by detecting the parameters of each part and the whole in various working states and analyzing the obtained parameters, the operation is similar to the operation in the prior art, but the difference lies in that in the subsequent step, whether the actual vibration frequencies of two or more parts are smaller than the preset value is directly judged, because the actual vibration frequencies of two objects which resonate are necessarily the same or close to each other, when the actual vibration frequencies of at least two parts are smaller than the preset value, the parts have resonance risks, the parts with resonance risks can be rapidly and accurately determined through the step, the parts with resonance risks are further judged subsequently, and the parts without resonance risks are determined, no further detection and judgment are needed;
compared with the prior art, the method needs to analyze the natural frequency of each component, and the method for diagnosing the resonance of the wind turbine generator can quickly and accurately determine the components with resonance risks, so that the resonance diagnosis efficiency is greatly improved.
The wind turbine generator resonance diagnosis method further comprises the following steps:
and S4, further detecting the actual amplitude of the component with the resonance risk, comparing the actual amplitude with the theoretical amplitude, and if the actual amplitude of the detected component is larger than the preset amplitude, judging that the component has the resonance problem.
When a component resonates, the amplitude of the component is increased certainly, and further the actual amplitude and the theoretical amplitude of the component can be compared, so that whether the component resonates or not can be judged accurately.
In the preferred technical solution of this embodiment, in step S4, an amplitude deviation value is preset, if the difference between the actual amplitude and the theoretical amplitude of the detected component is greater than the amplitude deviation value, it can be determined that the component has a resonance problem, and if the difference between the actual amplitude and the theoretical amplitude of the detected component is less than the amplitude deviation value, it can be determined that the component has no resonance problem; in the present embodiment, in consideration of the fact that the actual amplitude of the component may slightly deviate from the theoretical amplitude even when the component is not in resonance, an amplitude deviation value is preset as a comparison target, and it is possible to more accurately determine whether the component has resonance.
In step S3, if the actual vibration frequencies of at least two components are completely the same, it can be directly determined that the components have a resonance problem without further detection; in the preferred technical solution of this embodiment, if the vibration frequencies of at least two components are completely the same, no further detection is required.
In step S1, the parameters to be detected include one or more of generator speed, rotor speed, active power, torque and acceleration; in this embodiment, the parameters to be detected are similar to those in the prior art.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (4)
1. A wind turbine generator resonance diagnosis method is characterized by comprising the following steps:
s1, detecting parameters of each component and the whole wind turbine generator under various working states; the parameters include one or more of generator speed, rotor speed, active power, torque and acceleration.
S2, obtaining the actual vibration frequency of each component and the whole in the wind turbine generator set through the parameters;
and S3, judging whether the actual vibration frequencies of two or more components enter a preset resonance risk interval or not, and when the actual vibration frequencies of at least two components are in the preset resonance risk interval, judging that resonance risks exist between the components.
2. The wind turbine generator resonance diagnosis method according to claim 1, characterized in that the wind turbine generator resonance diagnosis method further comprises:
and S4, detecting the actual amplitude of the component with the resonance risk, comparing the actual amplitude with the theoretical amplitude, and judging that the component has the resonance problem if the actual amplitude of the detected component is larger than the due preset amplitude.
3. The wind turbine generator resonance diagnosis method according to claim 2, wherein in step S4, an amplitude deviation value is preset, if the difference between the actual amplitude and the preset amplitude of the detected component is greater than the amplitude deviation value, it is determined that the component has a resonance problem, and if the difference between the actual amplitude and the preset amplitude of the detected component is less than the amplitude deviation value, it is determined that the component has no resonance problem.
4. The wind turbine generator resonance diagnosis method according to claim 1, wherein in step S3, if the actual vibration frequencies of at least two components are completely the same, it can be directly determined that the components have a resonance problem without further detection.
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| CN202111381705.9A CN114087136A (en) | 2021-11-22 | 2021-11-22 | Wind turbine generator resonance diagnosis method |
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| CN202111381705.9A CN114087136A (en) | 2021-11-22 | 2021-11-22 | Wind turbine generator resonance diagnosis method |
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101701871A (en) * | 2009-11-13 | 2010-05-05 | 中船重工(重庆)海装风电设备有限公司 | Whole-machine test method and system for wind turbine |
| RU2451279C1 (en) * | 2011-01-18 | 2012-05-20 | Федеральное государственное унитарное предприятие "Центральный институт авиационного моторостроения имени П.И. Баранова" | Method of diagnosing resonance vibrations in axial turbomachine impeller vanes |
| US20120139740A1 (en) * | 2010-12-04 | 2012-06-07 | Detlef Drossel | Method for monitoring a static and/or dynamic stability of a wind turbine |
| CN108871827A (en) * | 2018-05-30 | 2018-11-23 | 西安陕鼓动力股份有限公司 | A method of based on the quick diagnosis rotating machinery resonance for intersecting statistical analysis |
| 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 |
| CN109973325A (en) * | 2017-12-20 | 2019-07-05 | 北京金风科创风电设备有限公司 | Method and apparatus for identifying abnormal vibration |
| CN112985578A (en) * | 2019-12-13 | 2021-06-18 | 中车株洲电力机车研究所有限公司 | Wind turbine generator resonance diagnosis method and device |
| CN113217303A (en) * | 2021-06-21 | 2021-08-06 | 华能新能源股份有限公司 | Self-adaptive resonance rotating speed control method based on life evaluation |
-
2021
- 2021-11-22 CN CN202111381705.9A patent/CN114087136A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101701871A (en) * | 2009-11-13 | 2010-05-05 | 中船重工(重庆)海装风电设备有限公司 | Whole-machine test method and system for wind turbine |
| US20120139740A1 (en) * | 2010-12-04 | 2012-06-07 | Detlef Drossel | Method for monitoring a static and/or dynamic stability of a wind turbine |
| RU2451279C1 (en) * | 2011-01-18 | 2012-05-20 | Федеральное государственное унитарное предприятие "Центральный институт авиационного моторостроения имени П.И. Баранова" | Method of diagnosing resonance vibrations in axial turbomachine impeller vanes |
| CN109973325A (en) * | 2017-12-20 | 2019-07-05 | 北京金风科创风电设备有限公司 | Method and apparatus for identifying abnormal vibration |
| CN108871827A (en) * | 2018-05-30 | 2018-11-23 | 西安陕鼓动力股份有限公司 | A method of based on the quick diagnosis rotating machinery resonance for intersecting statistical analysis |
| 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 |
| CN112985578A (en) * | 2019-12-13 | 2021-06-18 | 中车株洲电力机车研究所有限公司 | Wind turbine generator resonance diagnosis method and device |
| CN113217303A (en) * | 2021-06-21 | 2021-08-06 | 华能新能源股份有限公司 | Self-adaptive resonance rotating speed control method based on life evaluation |
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