CN115079626A - Early warning method and system for potential operation risk of wind generating set component - Google Patents
Early warning method and system for potential operation risk of wind generating set component Download PDFInfo
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/048—Monitoring; Safety
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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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- Y02E10/72—Wind turbines with rotation axis in wind direction
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Abstract
The invention relates to the technical field of wind power generation measurement and control, and discloses an early warning method and system for potential operation risks of wind generating set components, wherein the early warning method is characterized in that the historical data of a wind generating set is utilized for statistical analysis, and the data characteristics of corresponding components in an abnormal state are found out based on the historical data and the current value of the wind generating set; and screening data of the current running data of the fan based on the data characteristics in the abnormal state so as to judge whether the component running state of the fan is normal under different working conditions and give an early warning to the abnormal running state. The invention solves the problems that the prior art has no problem on the components, but the abnormity of the component operation performance caused by the influence of the component operation logic and the external wind condition environment is not early-warned, and the like.
Description
Technical Field
The invention relates to the technical field of wind power generation measurement and control, in particular to a method and a system for early warning of potential operation risks of wind generating set components.
Background
The current climate problem is aggravated, and new energy is actively developed worldwide to relieve the climate crisis. Wind energy has become a major research and development object in new energy as a new energy source capable of being continuously regenerated. The wind energy has the advantages of wide distribution, rich reserves and the like, is convenient to use, has high cost performance, does not greatly influence the ecological environment and has no obvious seasonality.
For wind turbines, reducing maintenance costs is also inherently one of the important ways to increase power generation efficiency. The behaviors of the fan such as pitch variation, yaw and the like are all strived to maximize the power generation efficiency on the premise of not damaging the fan, so that the method for prolonging the service life of the fan under the condition of not losing the power generation efficiency becomes an important research direction.
Yaw control of a wind turbine can be roughly divided into 2 stages: 1. and (5) yaw starting judgment. When the wind speed meets the fan starting condition and the difference angle between the wind direction and the position of the engine room is continuously larger, the fan starts unidirectional yawing to follow the wind so as to seek greater generating efficiency. 2. And yaw stop determination. The fan can continuously correct the yaw error in the yaw process, and when the yaw error and the wind direction difference value are smaller than a certain range, the fan can stop yawing.
The pitch control of a wind turbine can be roughly divided into 3 cases: 1. stopping the machine and collecting the oar. When the fan is in a shutdown state, the fan can be retracted to protect the blades. 2. And changing the pitch of the wind. When the fan is in a full load state, the fan can continuously change the pitch according to the wind speed to ensure that the pressure borne by the blades is not overlarge. 3. And manually collecting the oar. And manually operating to retract the paddles.
The existing early warning technology mainly aims at analyzing and early warning the operation risk generated by a component, and does not research on the aspect of early warning about the abnormity of the operation performance of the component caused by the influence of the operation logic of the component and the external wind condition environment of the component without problems (the operation of the component is influenced by the control logic and the external environment, and the abnormity of the operation condition of the component caused by the abnormity of the control logic or the external environment of the component without problems of the component and the operation condition of the component is influenced by the abnormity of the control logic or the external environment, so that the abnormity of the operation of a fan is caused).
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a method and a system for early warning of potential operation risks of wind generating set components, and solves the problems that the prior art has no problem on the components, but does not perform early warning on abnormal operation performance of the components caused by the influence of component operation logic and external wind condition environment.
The technical scheme adopted by the invention for solving the problems is as follows:
a method for early warning of potential operation risks of wind generating set components is characterized by comprising the steps of carrying out statistical analysis by using historical data of a wind generating set, and finding out data characteristics of corresponding components in abnormal states based on the historical data and current values of the wind generating set; and screening data of the current running data of the fan based on the data characteristics in the abnormal state, so as to judge whether the running state of the component of the fan is normal under different working conditions and give an early warning to the abnormal running state.
As a preferred technical scheme, historical data of the wind turbine generator set comprises a yaw system and/or a pitch system; the historical data comprises one or more of part running stroke, running action times and running accumulated time.
As a preferred technical solution, the method for statistical analysis of historical data comprises: and for the components possibly having the operation risks, finding out historical data and working condition data of the components related to the components, and performing statistical analysis on the data in a calculation mode of calculating a mean value, a calculation distribution range and/or a calculation extreme value so as to find out the data beyond the normal operation range of the fan.
As an optimized technical scheme, the early warning comprises pitch sector turbulence early warning, and the pitch sector turbulence early warning comprises the following steps:
SA1, collecting long-term data of a main state, a variable pitch and a wind condition of the fan;
SA2, screening out the full pitch variation data, and classifying the full pitch variation data into each wind direction area according to the wind direction;
SA3, analyzing the proportion of the pitch data to the total data in each region;
and SA4, if the specific value in the area is abnormally high, carrying out sector early warning on the wind direction area.
As an optimal technical scheme, the early warning comprises the early warning of the abnormality of the initial position of the variable pitch device 0, and the early warning of the abnormality of the initial position of the variable pitch device 0 comprises the following steps:
SB1, collecting the main state, the variable pitch and the long-term wind condition data of the fan;
SB2, finding out fans with similar wind conditions by carrying out similarity analysis on historical wind conditions;
SB3, drawing a power curve of each fan in the power climbing stage and comparing the power curve;
SB4, if the power curve of the fan is abnormal and low and the fan has no other related abnormality, performing the abnormality early warning of changing the pitch and setting 0.
As a preferred technical scheme, the early warning comprises yaw sector turbulence early warning, and the yaw sector turbulence early warning comprises the following steps:
SC1, collecting the main state, the variable pitch and the long-term wind condition data of the fan;
SC2, screening out normal yaw fan data, and classifying the normal yaw fan data into a corresponding wind direction area according to the wind direction;
SC3, analyzing the proportion of the deviation data to the total data in each region;
if there is a region higher than the abnormality, SC4 warns the region for yaw turbulence.
As an optimized technical scheme, the early warning comprises the early warning of the abnormal yaw logic of the fan, and the early warning of the abnormal yaw logic of the fan comprises the following steps:
SD1, collecting the main state, yaw and wind condition data of the fan;
SD2, screening out normal yaw fan data, and breaking each yaw into independent data segments according to a yaw flow;
SD3, monitoring whether the yaw data of each data segment meet three requirements of yaw logic judgment;
and if the data segment meeting the requirement exists, performing yaw logic abnormity early warning by SD 4.
As a preferred technical scheme, the early warning comprises the early warning of damage of the wearing parts, and the early warning of the damage of the wearing parts comprises the following steps:
SE1, recording the latest replacement time of each component and the currently set maximum use times;
SE2, counting the accumulated use times of each component from the latest replacement time;
SE3, if the accumulated use times of the fan is close to the maximum service life times, early warning is carried out; wherein, the accumulative usage times are close to the maximum service life times and indicate that: the accumulated use times are more than or equal to 0.9 ⌈, the maximum service life times are ⌉, and ⌈ ⌉ indicates rounding up;
SE4 counts the number of uses at the time of actual replacement, and updates the set maximum number of uses.
As an optimal technical scheme, the early warning comprises a pitch-variable shutdown over-frequency early warning, and the pitch-variable shutdown over-frequency early warning comprises the following steps:
SF1, reading all variable pitch data of the full-field fan in a set time period;
SF2, screening data of the shutdown time period in the variable pitch data according to the main state code;
and SF3, if the shutdown times of the fan are obviously higher than the full field value and higher than a fixedly set threshold value, the fan is warned.
A wind generating set component potential operation risk early warning system is based on the wind generating set component potential operation risk early warning method and is used for: carrying out statistical analysis by using historical data of the wind turbine generator, and finding out data characteristics of corresponding parts in an abnormal state based on the historical data and the current value of the wind turbine generator; and screening data of the current running data of the fan based on the data characteristics in the abnormal state so as to judge whether the component running state of the fan is normal under different working conditions and give an early warning to the abnormal running state.
Compared with the prior art, the invention has the following beneficial effects:
(1) the invention can not only carry out early warning by the direct influence caused by the self-problem of the component (the self-problem of the component can directly cause the abnormal operation of the fan), but also carry out early warning on the influence caused by the operation logic of the unit and the external wind condition environment;
(2) the invention can realize early warning on different problems, thereby prolonging the service life of the fan and reducing the possibility of further causing greater operation risk.
Drawings
FIG. 1 is a step diagram of pitch turbulence warning;
FIG. 2 is a step chart of pitch 0 home position anomaly;
FIG. 3 is a diagram of steps for yaw turbulence warning;
FIG. 4 is a diagram of steps for yaw logic anomaly warning;
FIG. 5 is a diagram of the steps of the early warning of the damage of a wearing part;
FIG. 6 is a step diagram of pitch shutdown overfrequency warning.
Detailed Description
The present invention will be described in further detail with reference to examples and drawings, but the present invention is not limited to these examples.
Example 1
As shown in fig. 1 to 6, the invention provides a method for early warning potential operation risks of wind generating set components, which is used for early warning the potential operation risks of the wind generating set components and relates to the technical field of wind power generation. Wherein the method comprises the following steps: the statistical analysis is carried out by using historical data of travel, time and times of related components (a yaw system, a variable pitch system and the like) of the wind turbine generator and other operation and maintenance data to carry out auxiliary analysis. And carrying out statistical analysis by carrying out transverse alignment between the fans and longitudinal comparison between the historical values of the strokes, the times and the times of the fans and the current values of the strokes, the times and the times of the fans, and finding out the data characteristics of the corresponding parts in the abnormal state. The data of the data when the fan operates at present is discriminated through the data characteristics, so that whether the operation state of the part of the fan is normal under different working conditions is judged, and the early warning effect of the part is achieved. The comparison method of transverse comparison and longitudinal comparison includes but is not limited to: mean square error, spectrogram, difference, Boolean, etc.
More specifically:
a method for early warning of potential operation risks of wind generating set components is characterized in that statistical analysis is carried out by using historical data of travel, time and times of related components (a yaw system, a pitch system and the like) of a wind generating set and other operation and maintenance data for auxiliary analysis. And performing statistical analysis by performing transverse comparison between fans and longitudinal comparison between historical values of the strokes, the time and the times of the fans and current values of the strokes, the time and the times of the fans, and finding out data characteristics of the corresponding parts in the abnormal state. The data of the data when the fan operates at present is discriminated through the data characteristics, so that whether the operation state of the part of the fan is normal under different working conditions is judged, and the early warning effect of the part is achieved. The transverse comparison refers to: comparing the current value of a certain component of a wind turbine generator with the current values of other related components of the wind turbine generator in the same time period; or; and comparing the current value of a certain part of a certain wind turbine generator with the current values of the same parts of other wind turbine generators in the same time period. The longitudinal comparison refers to: and comparing the historical data of a certain part of a certain wind turbine with the current value of the same part of the certain wind turbine.
Furthermore, for different possible component problems, relevant component historical data and working condition data (comparing the current value of the component with the potential operation risk with the historical data of the component in normal operation, comparing the current value of the working condition of the wind turbine generator of the component with the potential operation risk with the historical working condition data of the wind turbine generator in normal operation) are found, and the data are subjected to statistical analysis in the modes of calculating an average value, a distribution range, an extreme value and the like, so that the problem data are found.
Furthermore, the distribution condition, the accumulated value and the like of data of a certain part of the whole fan at the same time are analyzed, and whether the part of the fan is abnormal in operation condition is judged, so that early warning is performed. The component issues analyzed include, but are not limited to: abnormal early warning of pitch setting 0, over-frequency early warning of pitch shutdown and the like.
Further, the blades of the fan are set to 0 as much as possible during the power climbing phase so as to seek the maximum windward efficiency. If the pitch setting 0 is obviously abnormal, a significant reduction of the speed of the power climbing stage occurs for the abnormal fan. By finding out fans with similar wind conditions of a wind field for comparison, if the speed of the fan is obviously lower in the power climbing stage and the mechanical structure and the operation condition of the fan are normal, the problem that the fan is abnormal in pitch control and pitch control 0 can be considered to exist, and then early warning is carried out on the condition.
Furthermore, the variable pitch can be collected in a shutdown stage, and when the shutdown frequency is too high, the variable pitch can be collected frequently, so that the service life of a variable pitch system is influenced. The method comprises the steps of finding out a time period for changing the pitch of each fan in the same time period of the whole fan (the time period is set in advance according to actual conditions such as the running condition and the statistical difficulty of a wind turbine generator, for example, the time period is set to be 1 month, half year and the like), and finding out the time period for changing the pitch caused by shutdown by using main state codes of the fans. Whether the frequency of stopping and collecting the propeller in the time period of the fan is abnormal can be known through counting the number of the time periods, and then the condition is early warned.
Further, for component problems related to wind conditions, data similar to the current conditions in the wind conditions in historical data of travel, time and times are found, data comparison is conducted on the data of the travel, the time and the times by means of averaging, data distribution range calculation, specific data proportion calculation and the like, whether the current conditions are abnormal or not is judged, and therefore early warning is conducted on the conditions. The component issues analyzed include, but are not limited to: the method comprises the following steps of pitch sector turbulence early warning, yaw sector turbulence early warning, vulnerable part damage early warning and yaw logic abnormity early warning.
Further, the starting pitch variation is mainly influenced by three modes of full pitch variation, shutdown pitch variation and manual pitch variation. And the full-power pitch control mainly faces the change frequency of the wind energy of the fan under the condition of strong wind. The pitch angle, which can be derived from the kinetic energy equation Ek =1/2mv ^2, is mainly influenced by the wind speed and wind density directly facing the wind. Therefore, the wind speed and the turbulence with unstable distribution can cause full pitching more than normal wind. Therefore, by calculating the proportion of the full-transmission variable pitch quantity in each wind direction area to the full-transmission data point position in the wind direction area, the abnormal high proportion can be regarded as the existence of variable pitch sector turbulence, and then the area is early warned.
Further, both fan yaw start and stop are dependent on wind speed and the angle between wind direction and nacelle position. When the wind direction of a wind direction area swings back and forth greatly, the fan can perform frequent yawing actions in the area. Therefore, the ratio of the yaw frequency of the fan in each wind direction area to the normal working data of the fan is calculated, and the fan with higher proportion can be regarded as having yaw sector turbulence, so that the area is pre-warned.
Further, the yaw-stop decision is mainly influenced by the yaw error calculation. When the mean value of the yaw errors in a period of time is smaller than a set value, the fan stops yawing. However, due to the hysteresis of the change of the mean yaw error, when the wind turbine is just right opposite to the wind direction, the hysteresis causes the wind turbine to continue yawing until the mean yaw error is within a fixed range. However, if the wind direction of the fan is changed in a large reverse direction after facing the wind direction, the yaw error cannot enter the range but directly exceeds the range in a reverse direction, and at the moment, the fan can perform reverse wind following. Therefore, in principle, the occurrence of the backward following situation must satisfy three conditions: a. the yaw error has positive and negative jumps of a zero crossing point. b. The yaw error has positive and negative jumps at close to 180 ° of absolute value. c.b the condition occurs for at least one group of time periods after the a condition. The early warning of abnormal execution of the fan yaw logic can be carried out through the judgment conditions.
Further, the wearing parts have a fixed service life, and can also be used along with the daily operation of the fan, and need to be replaced when the service life reaches a threshold value. The damage of the easily damaged part can be pre-warned by monitoring the accumulated use times of the easily damaged part after each replacement and comparing the accumulated use times with the service life in real time.
The early warning algorithm can not only carry out early warning through direct influence caused by the problems of the components (the problems of the components can directly cause abnormal operation of the fan), but also carry out early warning on the influence caused by the operation logic of the unit and the external wind condition environment. The early warning method can realize early warning on different problems, so that the service life of the fan is prolonged, and the possibility of further causing larger operation risk is reduced.
Example 2
As shown in fig. 1 to fig. 6, as a further optimization of embodiment 1, on the basis of embodiment 1, the present embodiment further includes the following technical features:
the invention aims to find an early warning method for potential operation risks of wind generating set components. By the early warning algorithm, the component problem can be early warned by utilizing the wind condition and the corresponding component data.
In order to achieve the purpose, the technical route adopted by the invention is as follows:
a method for early warning of potential operation risks of wind generating set components comprises the following steps: turbulence early warning of a variable pitch sector; yaw sector turbulence early warning; early warning of logical abnormity of fan yaw; early warning of abnormality of the initial position of the variable pitch device 0; early warning of damage of vulnerable parts, over-frequency of variable-pitch shutdown and the like.
Pitch turbulence early warning: the starting variable pitch is mainly influenced by three modes of full-starting variable pitch, stopping variable pitch and manual variable pitch. And the full-power pitch control mainly faces the change frequency of the wind energy of the fan under the condition of strong wind. The pitch angle, which can be derived from the kinetic energy equation Ek =1/2mv ^2, is mainly influenced by the wind speed and wind density directly facing the wind. Therefore, the wind speed and the turbulence with unstable distribution can cause full pitching more than normal wind. Therefore, by calculating the proportion of the full-transmission variable pitch quantity in each wind direction area to the full-transmission data point position in the wind direction area, the abnormal high proportion can be regarded as the existence of variable pitch sector turbulence, and then the area is early warned.
Yaw turbulence early warning: both the start and stop of the fan yaw depend on the wind speed and the angle between the wind direction and the nacelle position. When the wind direction of a wind direction area swings back and forth greatly, the fan can perform frequent yawing actions in the area. Therefore, the ratio of the yaw frequency of the fan in each wind direction area to the normal working data of the fan is calculated, and the fan with higher proportion can be regarded as having yaw sector turbulence, so that the area is pre-warned.
And (3) abnormal execution early warning of the yaw logic of the fan: and the yaw stop logic of the fan only depends on whether the yaw error is smaller than a certain range or not when the cable twisting angle does not reach the cable untwisting value. However, since the yaw error is determined by an average value over a certain period of time, there is a certain hysteresis in the change. When the fan is approaching the wind direction, the fan can continue to yaw due to the problem of hysteresis determined by yaw error. If the wind direction produces a reverse change at this moment and causes the fan yaw error to change from closing gradually to surpassing directly, then the fan can continue to yaw this moment and can not stop. And in fact the fan continues to catch up with the wind in the opposite direction at this time. Therefore, in principle, the occurrence of the backward following situation must satisfy three conditions: a. the yaw error has positive and negative jumps of a zero crossing point. b. The yaw error has positive and negative jumps at close to 180 ° of absolute value. c.b the condition occurs for at least one group of time periods after the a condition. The early warning of abnormal execution of the fan yaw logic can be carried out through the judgment conditions.
Variable pitch shutdown overfrequency early warning: the variable pitch can be collected in the shutdown stage, and when the shutdown frequency is too high, the variable pitch can be collected frequently, so that the service life of a variable pitch system is influenced. And finding out the time period of variable pitch of each fan in the same time period of the whole fan, and finding out the time period of variable pitch caused by shutdown by using the main state code of the fan. Whether the frequency of stopping and collecting the propeller in the time period of the fan is abnormal can be known through counting the number of the time periods, and then the condition is early warned.
The fan is changed the oar and put 0 initial position unusual early warning: the blades of the fan are set to be 0 as much as possible in the power climbing stage so as to seek the maximum windward efficiency. If the pitch setting 0 is obviously abnormal, a significant reduction of the speed of the power climbing stage occurs for the abnormal fan. By finding out the fans with similar wind conditions of the wind field for comparison, if the speed of the fan in the power climbing stage is obviously low and the mechanical structure and the operation condition of the fan are normal, the problem that the fan is abnormal in pitch control and pitch control can be considered to exist, and then the condition is early warned. Early warning damage of the vulnerable part: the wearing parts have a fixed service life, and can also be used along with the daily operation of the fan, and the wearing parts need to be replaced when the service life reaches the approximate threshold value. The damage of the easily damaged part can be pre-warned by monitoring the accumulated use times of the easily damaged part after each replacement and comparing the accumulated use times with the service life in real time.
Early warning damage of the vulnerable part: the wearing parts have a fixed service life, and can also be used along with the daily operation of the fan, and the wearing parts need to be replaced when the service life reaches the approximate threshold value. The damage of the easily damaged part can be pre-warned by monitoring the accumulated use times of the easily damaged part after each replacement and comparing the accumulated use times with the service life in real time.
As described above, the present invention can be preferably realized.
All features disclosed in all embodiments of the present specification, or all methods or process steps implicitly disclosed, may be combined and/or expanded, or substituted, in any way, except for mutually exclusive features and/or steps.
The foregoing is only a preferred embodiment of the present invention, and the present invention is not limited thereto in any way, and any simple modification, equivalent replacement and improvement made to the above embodiment within the spirit and principle of the present invention still fall within the protection scope of the present invention.
Claims (10)
1. A wind generating set component potential operation risk early warning method is characterized in that historical data of a wind generating set are used for statistical analysis, and data characteristics of corresponding components in an abnormal state are found out based on the historical data and the current value of the wind generating set; and screening data of the current running data of the fan based on the data characteristics in the abnormal state, so as to judge whether the running state of the component of the fan is normal under different working conditions and give an early warning to the abnormal running state.
2. The method for warning of the potential operational risk of wind turbine generator system component according to claim 1, wherein the historical data of the wind turbine generator system comprises a yaw system and/or a pitch system; the historical data comprises one or more of part running stroke, running action times and running accumulated time.
3. The method for early warning of the potential operational risk of wind turbine generator system component according to claim 2, wherein the statistical analysis of the historical data comprises: and for the components possibly having the operation risks, finding out historical data and working condition data of the components related to the components, and performing statistical analysis on the data in a calculation mode of calculating a mean value, a calculation distribution range and/or a calculation extreme value so as to find out the data beyond the normal operation range of the fan.
4. The method of claim 3, wherein the pre-warning includes a pitch sector turbulence pre-warning, the pitch sector turbulence pre-warning including the steps of:
SA1, collecting long-term data of a main state, a variable pitch and a wind condition of the fan;
SA2, screening full pitch-changing data, and classifying the full pitch-changing data into each wind direction area according to the wind direction;
SA3, analyzing the proportion of the pitch data to the total data in each region;
SA4, if the ratio in some areas is abnormally high, the sector early warning is carried out on the wind direction area.
5. The method for early warning of the potential operational risk of the wind generating set component according to claim 3, wherein the early warning comprises early warning of an abnormality in the initial position of the variable pitch position 0, and the early warning of the abnormality in the initial position of the variable pitch position 0 comprises the following steps:
SB1, collecting the main state, the variable pitch and the long-term wind condition data of the fan;
SB2, finding out fans with similar wind conditions by analyzing the similarity of historical wind conditions;
SB3, drawing a power curve of each fan in the power climbing stage and comparing the power curve;
SB4, if the power curve of the fan is abnormal and low and the fan has no other related abnormality, performing the abnormality early warning of changing the pitch and setting 0.
6. The method of claim 3, wherein the pre-warning includes a yaw sector turbulence pre-warning, the yaw sector turbulence pre-warning including the steps of:
the SC1 is used for collecting the main state, the variable pitch and the long-term wind condition data of the fan;
SC2, screening out normal yaw fan data, and classifying the normal yaw fan data into a corresponding wind direction area according to the wind direction;
SC3, analyzing the proportion of the deviation data to the total data in each region;
if there is a region higher than the abnormality, SC4 performs yaw turbulence warning on the region.
7. The method for early warning of the potential operational risk of wind generating set components according to claim 3, wherein the early warning comprises early warning of abnormal yaw logic of the wind turbine, and the early warning of abnormal yaw logic of the wind turbine comprises the following steps:
SD1, collecting the main state, yaw and wind condition data of the fan;
SD2, screening out normal yaw fan data, and breaking each yaw into independent data segments according to a yaw flow;
SD3, monitoring whether the yaw data of each data segment meet three requirements of yaw logic judgment;
and if the data segment meeting the requirement exists, performing yaw logic abnormity early warning by SD 4.
8. The method for warning of the potential operational risk of a wind turbine generator system component according to claim 3, wherein the warning comprises a consumable part damage warning, the consumable part damage warning comprising the steps of:
SE1, recording the latest replacement time of each component and the currently set maximum use times;
SE2, counting the accumulated use times of each component from the latest replacement time;
SE3, if the accumulated use times of the fan is close to the maximum service life times, early warning is carried out; wherein, the accumulative usage times are close to the maximum service life times and indicate that: the accumulated use times are more than or equal to 0.9 ⌈, the maximum service life times are ⌉, and ⌈ ⌉ indicates rounding up;
SE4 counts the number of uses at the time of actual replacement, and updates the set maximum number of uses.
9. The method for early warning of the potential operational risk of wind generating set components according to claim 3, wherein the early warning comprises an early warning of an excessive frequency of a pitch shutdown, and the early warning of the excessive frequency of the pitch shutdown comprises the following steps:
SF1, reading all variable pitch data of the full-field fan in a set time period;
SF2, screening data of the shutdown time period in the variable pitch data according to the main state code;
and SF3, if the shutdown times of the fan are obviously higher than the full field value and higher than a fixedly set threshold value, the fan is warned.
10. A wind generating set component potential operational risk early warning system, based on any one of claims 1 to 9, characterized in that the early warning method is used for: carrying out statistical analysis by using historical data of the wind turbine generator, and finding out data characteristics of corresponding parts in an abnormal state based on the historical data and the current value of the wind turbine generator; and screening data of the current running data of the fan based on the data characteristics in the abnormal state so as to judge whether the component running state of the fan is normal under different working conditions and give an early warning to the abnormal running state.
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