CN116629597A - Method, system and device for rapidly evaluating risk of fan under non-IEC working condition - Google Patents
Method, system and device for rapidly evaluating risk of fan under non-IEC working condition Download PDFInfo
- Publication number
- CN116629597A CN116629597A CN202310400140.7A CN202310400140A CN116629597A CN 116629597 A CN116629597 A CN 116629597A CN 202310400140 A CN202310400140 A CN 202310400140A CN 116629597 A CN116629597 A CN 116629597A
- Authority
- CN
- China
- Prior art keywords
- data
- fan
- risk
- turbulence intensity
- wind
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 43
- 238000010408 sweeping Methods 0.000 claims abstract description 15
- 238000007781 pre-processing Methods 0.000 claims abstract description 14
- 238000010248 power generation Methods 0.000 claims abstract description 13
- 238000012502 risk assessment Methods 0.000 claims abstract description 4
- 238000012216 screening Methods 0.000 claims description 11
- 238000013461 design Methods 0.000 claims description 10
- 238000003491 array Methods 0.000 claims description 8
- 230000008569 process Effects 0.000 claims description 8
- 230000002159 abnormal effect Effects 0.000 claims description 7
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000004140 cleaning Methods 0.000 claims description 3
- 238000011156 evaluation Methods 0.000 description 7
- 238000005259 measurement Methods 0.000 description 4
- 238000010977 unit operation Methods 0.000 description 3
- 230000005856 abnormality Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000001133 acceleration Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- 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
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Educational Administration (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Development Economics (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Wind Motors (AREA)
Abstract
The application provides a method, a system and a device for rapidly evaluating risk of a fan under a non-IEC working condition, and belongs to the technical field of wind power generation. The method comprises the following steps: acquiring historical data of a fan; preprocessing the historical data of the fan to obtain data to be analyzed; calculating turbulence intensity and wind gust coefficient of preset data volume according to the data to be analyzed; judging whether the fan has a tower sweeping risk according to the turbulence intensity and the gust coefficient. According to the method, the turbulence intensity and the wind gust coefficient are calculated by using the operation data of the fan, whether the fan has a tower sweeping risk or not is judged according to the calculated turbulence intensity and wind gust coefficient, additional equipment is not required to be added, risk assessment can be carried out according to the actual operation scene of the fan, potential safety hazards of a unit are reduced, and the risk of the wind power plant unit is reduced.
Description
Technical Field
The application relates to the technical field of wind power generation, in particular to a method for rapidly evaluating risk of a fan under non-IEC working conditions, a system for rapidly evaluating risk of the fan under non-IEC working conditions, a device for rapidly evaluating risk of the fan under non-IEC working conditions and a machine-readable storage medium.
Background
In recent years, along with the large development of fan blades, the geometrical nonlinearity, the weak rigidity of the structure and the complexity of a flow field of hundred-meter-level blades lead to extremely complex aeroelastic coupling dynamic response rules under the rotation condition, when wind turbine generator set construction is carried out on complex terrains, the conventional wind energy resource evaluation theory does not meet the requirements of the wind turbine set evaluation safety in China, wind resource evaluation such as wind shear and turbulence faces to failure risks, and the weakness of insufficient accuracy of identifying the wind turbine set risk under the non-IEC working condition is exposed. The IEC working conditions are standard working conditions specified in the fan design general standard, and the non-IEC working conditions are working conditions which are not consistent with the standard working conditions specified in the fan design general standard. The risk identification accuracy of the unit under the non-IEC working condition is insufficient, so that the risk of tower sweeping of the unit in a wind farm is caused, and the fan is damaged.
Disclosure of Invention
The application aims to provide a method, a system and a device for rapidly evaluating risk of a fan under non-IEC working conditions, and the method is used for calculating turbulence intensity and wind gust coefficient by using operation data of the fan, judging whether the fan has tower sweeping risk according to the calculated turbulence intensity and wind gust coefficient, and carrying out risk evaluation according to actual operation scenes of the fan without adding additional equipment, so that potential safety hazards of a unit are reduced, and the risk of the unit of a wind power plant is reduced.
In order to achieve the above object, a first aspect of the present application provides a method for rapidly evaluating risk of a fan under non-IEC conditions, the method comprising:
acquiring historical data of a fan;
preprocessing the historical data of the fan to obtain data to be analyzed;
calculating turbulence intensity and wind gust coefficient of preset data volume according to the data to be analyzed;
judging whether the fan has a tower sweeping risk according to the turbulence intensity and the gust coefficient.
In the embodiment of the application, preprocessing the historical data of the fan to obtain the data to be analyzed comprises the following steps:
carrying out data cleaning on the historical data of the fan, and eliminating abnormal data;
screening data in the running process of the unit from the cleaned data according to the fan running state word;
screening data of a target pitch angle interval from data in the running process of the unit according to the pitch angle condition;
screening a target wind speed interval section from the data of the target pitch angle interval according to the wind speed condition;
and screening out data to be analyzed from the target wind speed interval according to the preset condition of the rotation speed of the generator. The abnormal data are non-compliance data, belong to invalid data, the fan operation status word indicates whether the fan is in operation or not, and the fan is most likely to generate abnormality in the wind speed range from the start of power generation to the full power generation of the fan, so that the data are screened as data to be analyzed.
In an embodiment of the present application, the abnormal data includes: data that does not satisfy pitch angle conditions, clearance distance conditions, generator speed conditions, rotor speed conditions, and motor torque conditions;
the pitch angle condition is that the pitch angle is in the range of 0-45 degrees; the wind speed condition is a wind speed range from the start of power generation of the fan to the full power generation of the fan; the preset condition of the rotating speed of the generator is that the rotating speed of the generator is 90% -95% of the full-power rotating speed of the generator.
In the embodiment of the application, calculating turbulence intensity and gust coefficient of preset data volume according to the data to be analyzed comprises the following steps:
grouping the data to be analyzed according to different preset data volumes, wherein each array group has different preset data volumes;
and calculating turbulence intensity and gust coefficient corresponding to the data of each group according to the data of each group.
In an embodiment of the present application, the turbulence intensity is calculated by the following formula:
wherein I is i For turbulence intensity, n is the preset data quantity, v j For the wind speed of the j-th data,mean wind speed, v, for data of group i j Data belonging to the i-th group;
the gust coefficient is calculated by the following formula:
wherein beta is the wind gust coefficient, u (t) i ) Maximum instantaneous wind speed in the ith set of data; u (t) j )...u(t j+n-1 ) For all instantaneous wind speeds in the ith set of data, n is a preset data amount.
In the embodiment of the application, judging whether the fan has a tower sweeping risk according to the turbulence intensity and the gust coefficient comprises the following steps:
acquiring a turbulence intensity threshold value and a gust coefficient threshold value according to all turbulence intensity and gust coefficient of the fan;
counting dangerous working condition times when the turbulence intensity of each fan exceeds a turbulence intensity threshold value and the gust coefficient exceeds the gust coefficient threshold value;
and identifying the fans with risks in the corresponding wind fields according to the dangerous working condition times of the fans with the same type in the same wind field. The wind resources faced in the running process of the fans with the same model in the same wind field are basically the same, and the dangerous working condition times of the fans are approximately the same, and in this case, if the dangerous working condition times of the fans are greater than the dangerous working condition times of other fans with the same model in the same wind field, the corresponding fans can be judged to have risks.
In an embodiment of the present application, the method further includes: after acquiring a turbulence intensity threshold value and a gust coefficient threshold value, judging whether the turbulence intensity threshold value and the gust coefficient threshold value are in a design parameter range corresponding to a fan or not;
if yes, determining a turbulence intensity threshold value and a gust coefficient threshold value as effective values, otherwise, determining that the fan is in dangerous working conditions. The obtained turbulence intensity threshold value and gust coefficient threshold value belong to actual measurement values, the design parameters belong to rated values, and when the actual measurement values are larger than the rated values, the fan is proved to have larger risk.
The second aspect of the application provides a fan risk rapid assessment system under non-IEC working conditions, the system comprising:
the data acquisition unit is used for acquiring historical data of the fan;
the data preprocessing unit is used for preprocessing the historical data of the fan to obtain data to be analyzed;
the calculation unit is used for calculating turbulence intensity and wind gust coefficient of preset data volume according to the data to be analyzed;
and the risk judging unit is used for judging whether the fan has a tower sweeping risk according to the turbulence intensity and the gust coefficient.
The third aspect of the present application provides a device for rapidly evaluating risk of a fan under a non-IEC operating condition, the device comprising:
and the processor is configured to execute the fan risk rapid assessment method under the non-IEC working condition.
In another aspect, the present application provides a machine-readable storage medium having instructions stored thereon for causing a machine to perform the method for rapidly assessing risk of a fan under non-IEC conditions.
According to the technical scheme, the risk of the wind turbine tower sweeping can be rapidly evaluated based on the data of the non-IEC working condition, the wind resource risk evaluation of a rapid system is performed on the position of the wind turbine by combining the wind resource condition of the operation of the wind turbine unit, the time consumption of the method is short, the stability is high, and the method provides support for wind power plant site selection wind resource evaluation and wind turbine unit risk evaluation technology.
Additional features and advantages of embodiments of the application will be set forth in the detailed description which follows.
Drawings
The accompanying drawings are included to provide a further understanding of embodiments of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain, without limitation, the embodiments of the application. In the drawings:
FIG. 1 is a flow chart of a method for rapidly assessing risk of a fan under non-IEC conditions according to an embodiment of the present application;
FIG. 2 is a flow chart of a data preprocessing method for fan risk rapid assessment under non-IEC conditions according to an embodiment of the present application;
FIG. 3 is a block diagram of a fan risk rapid assessment system under non-IEC conditions according to an embodiment of the present application.
Detailed Description
The following describes specific embodiments of the present application in detail with reference to the drawings. It should be understood that the detailed description and specific examples, while indicating and illustrating the application, are not intended to limit the application.
FIG. 1 is a flow chart of a method for rapidly assessing risk of a fan under non-IEC conditions according to an embodiment of the present application. As shown in fig. 1, the method includes:
s1: in the embodiment of the application, in order to ensure the accurate determination of the risk assessment of the fan, the fan historical data needs to be acquired for at least 3 months, and if the data amount is less than 3 months, the accuracy of the data assessment is easily affected. In the embodiment of the application, the fan history data needs to include values such as pitch angle, cabin position, wind direction, wind speed, generator rotating speed, wind wheel rotating speed, electromagnetic torque, cabin front-back vibration acceleration, cabin left-right vibration value, clearance state, clearance distance and the like. Wherein the values should meet the following conditions: (1) The pitch angle should be within the range of 0-90 degrees, if the radian system should be within the range of 0-1.571; (2) the headroom status value should be satisfied within the range of 0-1; (3) the headroom should be within 0-design parameters; (4) The generator speed, wind wheel speed, electromagnetic torque, etc. should be positive values.
S2: preprocessing the historical data of the fan to obtain data to be analyzed, as shown in fig. 2, specifically including:
s201: and cleaning the historical data of the fan, removing abnormal data, wherein the abnormal data at least comprises the following data conditions: data of a pitch angle smaller than 0 DEG or larger than 90 DEG, data of a clearance state smaller than 0 or larger than 1, data of a clearance distance smaller than 0m or larger than a design parameter, and data of a generator rotating speed, a wind wheel rotating speed or a motor torque which are negative values.
S202: and screening the data in the unit operation process from the cleaned data according to the fan operation state word, and analyzing the dangerous working condition to be the unit operation state, so that the fan operation state word is required to be screened to be the unit operation data.
S203: and screening data of a target pitch angle interval from data in the running process of the unit according to the pitch angle condition, wherein when the pitch angle is completely opened, the stress of the blade is rapidly reduced to reduce the risk, so that the pitch angle is not completely opened for extracting dangerous working condition data, the pitch angle condition is in a range of 0-45 degrees, and if the pitch angle is corresponding to an arc system, the pitch angle is 0-0.8.
S204: according to the wind speed condition, a target wind speed interval is screened out from the data of the target pitch angle interval, and through analysis of correlation between a large number of clearance distances and wind speeds, the unit clearance is minimum when the wind speed is in a full-power state, and when the wind speed is further increased, the pitch angle is opened, and the clearance is increased instead, so that when the risk of tower sweeping is analyzed, the wind speed range from the start of power generation of the fan to the full power generation of the fan is mainly analyzed, and the wind speed when the fan is full power generation is different according to different fan models.
S205: and screening the data to be analyzed from the target wind speed interval according to the preset condition of the generator rotating speed, wherein in the embodiment, 90% -95% of the full generator rotating speed of the generator is used as the preset condition of the generator rotating speed to screen the data to be analyzed. The abnormal data are non-compliance data, belong to invalid data, the fan operation status word indicates whether the fan is in operation or not, and the fan is most likely to generate abnormality in the wind speed range from the start of power generation to the full power generation of the fan, so that the data are screened as data to be analyzed.
S3: calculating turbulence intensity and gust coefficient of preset data volume according to the data to be analyzed, wherein the method specifically comprises the following steps:
s301: in the embodiment of the application, since the operation data is second-level data, and the data grouping modes of 5s, 10s and 15s are found to be that dangerous working conditions are not smoothed and too much calculated amount is not increased, the preset data amounts are 5, 10 and 15. The data to be analyzed are grouped according to 5 groups to obtain a first group of arrays, are grouped according to 10 groups to obtain a second group of arrays, and are grouped according to 15 groups to obtain a third group of arrays.
S302: and calculating turbulence intensity and gust coefficient corresponding to the data of each group according to the data of each group, and obtaining a plurality of turbulence intensities and gust coefficients by the same preset data quantity.
In an embodiment of the present application, the turbulence intensity is calculated by the following formula:
wherein I is i For turbulence intensity, n is the preset data quantity, v j For the wind speed of the j-th data,mean wind speed, v, for data of group i j Data belonging to the i-th group;
the gust coefficient is calculated by the following formula:
wherein beta is the wind gust coefficient, u (t) i ) Maximum instantaneous wind speed in the ith set of data; u (t) j )...u(t j+n-1 ) For all instantaneous wind speeds in the ith set of data, n is a preset data amount.
Assuming that the total amount of data to be analyzed is 300, after grouping, the number of arrays with 5 data as a group is 60, the number of arrays with 10 data as a group is 30, and the number of arrays with 15 data as a group is 20. The arrays calculate turbulence intensity and gust coefficients respectively, resulting in 90 turbulence intensities and 90 gust coefficients.
S4: judging whether the fans have a tower sweeping risk according to the turbulence intensity and the gust coefficient, in the embodiment of the application, a plurality of fans of the same model in a unified wind field can be combined and calculated by taking the available data quantity into consideration, and in particular,
firstly, acquiring a turbulence intensity threshold and a gust coefficient threshold according to all turbulence intensities and gust coefficients of a plurality of fans of the same model in the same wind field, wherein the turbulence intensity threshold and the gust coefficient threshold are values capable of covering more than 95% of turbulence intensity data or gust coefficient data and less than 100% of turbulence intensity data or gust coefficient data of a normal operation fan set, and in the embodiment, taking the turbulence intensity covering 99.9% of data of the normal operation fan set as the threshold and the turbulence intensity covering 99.9% of data of the normal operation fan set as the threshold.
Then, counting dangerous working condition times that the turbulence intensity of each fan exceeds a turbulence intensity threshold value and the gust coefficient exceeds the gust coefficient threshold value;
and identifying the fans with risks in the corresponding wind fields according to the dangerous working condition times of the fans with the same type in the same wind field.
It should be noted that, the dangerous working condition times of the normal fan also fluctuate within a certain range, the dangerous working condition times of the fan with risk are larger than those of the normal fan, and fluctuation is larger, therefore, a graph can be drawn according to the dangerous working condition times, the fan corresponding to the dangerous working condition times which are obviously different from other values can be identified from the graph, and the fan has risk.
The wind resources faced in the running process of the fans with the same model in the same wind field are basically the same, and the dangerous working condition times of the fans are approximately the same, and in this case, if the dangerous working condition times of the fans are greater than the dangerous working condition times of other fans with the same model in the same wind field, the corresponding fans can be judged to have risks.
Example two
The embodiment provides a method for rapidly evaluating risk of a fan under a non-IEC working condition, which comprises the following steps:
s1: acquiring historical data of a fan;
s2: preprocessing the historical data of the fan to obtain data to be analyzed;
s3: calculating turbulence intensity and wind gust coefficient of preset data volume according to the data to be analyzed;
s4: judging whether the fans have tower sweeping risks according to the turbulence intensity and the gust coefficient, and in the embodiment of the application, if the data volume is enough, acquiring the thresholds corresponding to different fans by the data of a single fan, and comparing the dangerous working condition times.
Specifically, first, a turbulence intensity threshold and a gust coefficient threshold are obtained according to all turbulence intensities and gust coefficients of each fan, wherein the turbulence intensity threshold and the gust coefficient threshold are values capable of covering turbulence intensity data or gust coefficient data of more than 95% and less than 100% of a normal operation fan set, and in the embodiment, turbulence intensity covering 99.9% of data of the normal operation fan set is taken as a threshold, and turbulence intensity covering 99.9% of data of the normal operation fan set is taken as a threshold.
Then, counting dangerous working condition times that the turbulence intensity of each fan exceeds a corresponding turbulence intensity threshold value and the gust coefficient exceeds a corresponding gust coefficient threshold value;
and identifying the fans with risks in the corresponding wind fields according to the dangerous working condition times of the fans with the same type in the same wind field.
It should be noted that, the dangerous working condition times of the normal fan also fluctuate within a certain range, the dangerous working condition times of the fan with risk is larger than the dangerous working condition times of the normal fan, and the fluctuation is larger, therefore, a graph can be drawn according to the dangerous working condition times, the fan corresponding to the dangerous working condition times which are obviously different from other value differences can be identified from the graph, and the fan has risk.
In the embodiment of the application, after the turbulence intensity threshold value and the gust coefficient threshold value are obtained, the turbulence intensity threshold value and the gust coefficient threshold value are compared with the fan design parameters, if the turbulence intensity threshold value and the gust coefficient threshold value are within the fan design parameters, the turbulence intensity threshold value and the gust coefficient threshold value are effective values, otherwise, the fan is in dangerous working conditions. The obtained turbulence intensity threshold value and gust coefficient threshold value belong to actual measurement values, the design parameters belong to rated values, and when the actual measurement values are larger than the rated values, the fan is proved to have larger risk.
A second aspect of the present application provides a system for rapidly assessing risk of a fan under non-IEC conditions, as shown in FIG. 3, the system comprising:
the data acquisition unit is used for acquiring historical data of the fan;
the data preprocessing unit is used for preprocessing the historical data of the fan to obtain data to be analyzed;
the calculation unit is used for calculating turbulence intensity and wind gust coefficient of preset data volume according to the data to be analyzed;
and the risk judging unit is used for judging whether the fan has a tower sweeping risk according to the turbulence intensity and the gust coefficient.
The third aspect of the present application provides a device for rapidly evaluating risk of a fan under a non-IEC operating condition, the device comprising:
and the processor is configured to execute the fan risk rapid assessment method under the non-IEC working condition.
In another aspect, the present application provides a machine-readable storage medium having instructions stored thereon for causing a machine to perform the method for rapidly assessing risk of a fan under non-IEC conditions.
The method for quickly searching the hidden danger units of the wind farm is short in operation time consumption and high in stability, and provides support for wind farm site selection wind resource assessment and wind turbine risk assessment technologies.
Those skilled in the art will appreciate that all or part of the steps in a method for implementing the above embodiments may be implemented by a program stored in a storage medium, where the program includes several instructions for causing a single-chip microcomputer, chip or processor (processor) to perform all or part of the steps in a method according to the embodiments of the application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The alternative embodiments of the present application have been described in detail above with reference to the accompanying drawings, but the embodiments of the present application are not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solutions of the embodiments of the present application within the scope of the technical concept of the embodiments of the present application, and all the simple modifications belong to the protection scope of the embodiments of the present application. In addition, the specific features described in the above embodiments may be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the various possible combinations of embodiments of the application are not described in detail.
In addition, any combination of the various embodiments of the present application may be made, so long as it does not deviate from the idea of the embodiments of the present application, and it should also be regarded as what is disclosed in the embodiments of the present application.
Claims (10)
1. A method for rapidly evaluating risk of a fan under a non-IEC working condition is characterized by comprising the following steps:
acquiring historical data of a fan;
preprocessing the historical data of the fan to obtain data to be analyzed;
calculating turbulence intensity and wind gust coefficient of preset data volume according to the data to be analyzed;
judging whether the fan has a tower sweeping risk according to the turbulence intensity and the gust coefficient.
2. The method for rapidly evaluating risk of a fan under non-IEC conditions according to claim 1, wherein preprocessing the historical data of the fan to obtain data to be analyzed comprises:
carrying out data cleaning on the historical data of the fan, and eliminating abnormal data;
screening data in the running process of the unit from the cleaned data according to the fan running state word; screening data of a target pitch angle interval from data in the running process of the unit according to the pitch angle condition;
screening a target wind speed interval section from the data of the target pitch angle interval according to the wind speed condition;
and screening out data to be analyzed from the target wind speed interval according to the preset condition of the rotation speed of the generator.
3. The method for rapidly assessing risk of a fan under non-IEC conditions according to claim 2, wherein the anomaly data comprises: data that does not satisfy pitch angle conditions, clearance distance conditions, generator speed conditions, rotor speed conditions, and motor torque conditions;
the pitch angle condition is that the pitch angle is in the range of 0-45 degrees; the wind speed condition is a wind speed range from the start of power generation of the fan to the full power generation of the fan; the preset condition of the rotating speed of the generator is that the rotating speed of the generator is 90% -95% of the full-power rotating speed of the generator.
4. The method for rapidly assessing risk of a fan under non-IEC conditions according to claim 1, wherein calculating turbulence intensity and wind gust coefficient of a preset data amount according to the data to be analyzed comprises:
grouping the data to be analyzed according to different preset data volumes, wherein each group of arrays has different preset data volumes;
and calculating turbulence intensity and gust coefficient corresponding to the data of each group according to the data of each group.
5. The method for rapidly assessing risk of a wind turbine under non-IEC conditions according to claim 4 wherein the turbulence intensity is calculated by the formula:
wherein I is i For turbulence intensity, n is the preset data quantity, v j For the wind speed of the j-th data,mean wind speed, v, for data of group i j Data belonging to the i-th group;
the gust coefficient is calculated by the following formula:
wherein beta is the wind gust coefficient, u (t) i ) Maximum instantaneous wind speed in the ith set of data; u (t) j )...u(t j+n-1 ) For all instantaneous wind speeds in the ith set of data, n is a preset data amount.
6. The method for rapidly evaluating risk of a fan under non-IEC conditions according to claim 1, wherein determining whether a risk of tower sweeping exists in the fan according to the turbulence intensity and the gust coefficient comprises:
acquiring a turbulence intensity threshold value and a gust coefficient threshold value according to all turbulence intensity and gust coefficient of the fan;
counting dangerous working condition times when the turbulence intensity of each fan exceeds a turbulence intensity threshold value and the gust coefficient exceeds the gust coefficient threshold value;
and identifying the fans with risks in the corresponding wind fields according to the dangerous working condition times of the fans with the same type in the same wind field.
7. The method for rapidly assessing risk of a fan under non-IEC conditions according to claim 6, further comprising:
after acquiring a turbulence intensity threshold value and a gust coefficient threshold value, judging whether the turbulence intensity threshold value and the gust coefficient threshold value are in a design parameter range corresponding to a fan or not;
if yes, determining a turbulence intensity threshold value and a gust coefficient threshold value as effective values, otherwise, determining that the fan is in dangerous working conditions.
8. A rapid risk assessment system for a fan under non-IEC conditions, the system comprising:
the data acquisition unit is used for acquiring historical data of the fan;
the data preprocessing unit is used for preprocessing the historical data of the fan to obtain data to be analyzed;
the calculation unit is used for calculating turbulence intensity and wind gust coefficient of preset data volume according to the data to be analyzed;
and the risk judging unit is used for judging whether the fan has a tower sweeping risk according to the turbulence intensity and the gust coefficient.
9. Device for rapidly evaluating risk of fan under non-IEC working condition, which is characterized in that the device comprises:
a processor configured to perform the fan risk rapid assessment method under non-IEC operating conditions of any one of claims 1-7.
10. A machine-readable storage medium having instructions stored thereon for causing a machine to perform the non-IEC condition fan risk rapid assessment method of any of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310400140.7A CN116629597A (en) | 2023-04-13 | 2023-04-13 | Method, system and device for rapidly evaluating risk of fan under non-IEC working condition |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310400140.7A CN116629597A (en) | 2023-04-13 | 2023-04-13 | Method, system and device for rapidly evaluating risk of fan under non-IEC working condition |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116629597A true CN116629597A (en) | 2023-08-22 |
Family
ID=87616003
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310400140.7A Pending CN116629597A (en) | 2023-04-13 | 2023-04-13 | Method, system and device for rapidly evaluating risk of fan under non-IEC working condition |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116629597A (en) |
-
2023
- 2023-04-13 CN CN202310400140.7A patent/CN116629597A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111794909B (en) | Sector regulation-oriented wind farm level yaw dynamic optimization method and system | |
| CN110985309B (en) | Yaw wind anomaly detection method, device, equipment and storage medium | |
| CN113591359B (en) | Wind turbine generator set cut-in/cut-out wind speed adjusting and optimizing method, system and equipment medium | |
| CN112733283A (en) | Wind turbine generator component fault prediction method | |
| CN108072524B (en) | Wind turbine generator gearbox bearing fault early warning method | |
| CN110761958B (en) | Blade stall diagnosis method and device of wind generating set | |
| CN112459971A (en) | Abnormal vibration detection method for tower of wind generating set | |
| CN103047078A (en) | Methods for using site specific wind conditions to determine when to install a tip feature on a wind turbine rotor blade | |
| CN115081346B (en) | Health degree judgment method and device under wake effect of wind turbine generator and medium | |
| CN115186861A (en) | Wind power plant dynamic sector management optimization method and system based on digital twinning | |
| CN116292094B (en) | Method and device for determining a representative wind power plant, and control method and device | |
| CN116629597A (en) | Method, system and device for rapidly evaluating risk of fan under non-IEC working condition | |
| CN116085212B (en) | Method and system for monitoring running state of new energy wind turbine generator in real time | |
| CN114444291B (en) | Method, system, equipment and medium for finely measuring and calculating power generation loss of fan | |
| CN110939550A (en) | Monitoring method and early warning method for temperature abnormity of variable pitch motor | |
| CN115478993A (en) | Method and system for monitoring stall of blades of wind generating set | |
| CN113586336B (en) | Control method and control device of wind generating set and computer readable storage medium | |
| Bao et al. | A data-driven approach for identification and compensation of wind turbine inherent yaw misalignment | |
| CN116933570B (en) | Method and device for evaluating power generation capacity in wind power plant redevelopment process | |
| CN113374654B (en) | Method for detecting blade cracking of wind generating set | |
| CN110968942A (en) | Performance evaluation method of wind turbine generator based on surrounding environment | |
| CN116502543B (en) | Wind turbine generator set wind deviation recognition method and device, electronic equipment and storage medium | |
| CN116221015B (en) | Wind generating set blade failure protection method based on blade attack angle | |
| CN116896296B (en) | Method and system for controlling power of wind generating set at cut-out wind speed | |
| CN111852788B (en) | Method and device for diagnosing power loss abnormity of wind turbine generator |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |