CN109667728B - Fault detection method and device for wind generating set rotating speed sensor - Google Patents
Fault detection method and device for wind generating set rotating speed sensor Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
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- 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
- F03D7/00—Controlling wind motors
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2260/00—Function
- F05B2260/80—Diagnostics
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2270/00—Control
- F05B2270/30—Control parameters, e.g. input parameters
- F05B2270/304—Spool rotational speed
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/72—Wind turbines with rotation axis in wind direction
Abstract
The invention discloses a fault detection method and a fault detection device for a rotating speed sensor of a wind generating set, wherein the fault detection method comprises the following steps: obtaining the measuring rotating speeds of a plurality of rotating speed sensors of the wind generating set; obtaining the predicted rotating speed of the rotating speed sensor at the current moment according to the measured rotating speeds of the rotating speed sensor at N moments before the current moment, wherein N is an integer greater than or equal to 0; and judging the running state of the rotation speed sensor according to the difference value of the predicted rotation speed and the measured rotation speed of the rotation speed sensor at the current moment. By adopting the technical scheme in the embodiment of the invention, the abnormal rotating speed sensor can be accurately identified, so that the influence of the measured data of the abnormal rotating speed sensor on the control rotating speed of the wind driven generator set is eliminated, the rotating speed failure shutdown frequency caused by the rotating speed failure misjudgment is reduced, and the power generation loss of the wind driven generator set is reduced.
Description
Technical Field
The invention relates to the technical field of wind power generation, in particular to a fault detection method and device for a rotating speed sensor of a wind generating set and a storage medium.
Background
The wind generating set generally has a plurality of speed sensor, and the measurement principle of these devices is diverse, utilizes the measuring rotational speed of a plurality of speed sensor cooperative control wind generating set operation, can improve wind generating set's reliability. At present, the rotating speed fault protection strategy of the wind generating set is as follows: when any one rotating speed exceeds a fault threshold value, the wind generating set triggers the impeller overspeed fault to stop, and when the difference value of any two measured rotating speeds exceeds a set safety threshold value, the wind generating set triggers the rotating speed comparison fault to stop.
In the prior art, the fault protection strategy is mainly executed through rotating speed data obtained by directly measuring by a rotating speed sensor, but in actual operation, a certain rotating speed sensor in a plurality of rotating speed sensors may have a fault or unstable performance and the like, so that the measured data has data abnormity or data jumping, the accuracy of controlling the rotating speed of the wind generating set is influenced, the rotating speed fault shutdown frequency is increased due to the misjudgment of the rotating speed fault, and the generated energy loss of the wind generating set is large.
Disclosure of Invention
The embodiment of the invention provides a fault detection method and device for a rotating speed sensor of a wind generating set and a storage medium, which can accurately identify an abnormal rotating speed sensor, thereby eliminating the influence of the measured data of the abnormal rotating speed sensor on the control rotating speed of the wind generating set, reducing the rotating speed fault shutdown frequency caused by the misjudgment of the rotating speed fault and reducing the power generation loss of the wind generating set.
In a first aspect, an embodiment of the present invention provides a method for detecting a fault of a rotation speed sensor of a wind turbine generator system, including:
obtaining the measuring rotating speeds of a plurality of rotating speed sensors of the wind generating set;
obtaining the predicted rotating speed of the rotating speed sensor at the current moment according to the measured rotating speeds of the rotating speed sensor at N moments before the current moment, wherein N is an integer greater than or equal to 0;
and judging the running state of the rotation speed sensor according to the difference value of the predicted rotation speed and the measured rotation speed of the rotation speed sensor at the current moment.
In a possible implementation manner of the first aspect, obtaining the predicted rotation speed of the rotation speed sensor at the current time according to the measured rotation speeds of the rotation speed sensor at N times before the current time includes: when N is more than or equal to 1, calculating the predicted rotating speed of the rotating speed sensor at the forward N-1 th moment from the current moment in turn according to the predicted rotating speed and the measured rotating speed of the rotating speed sensor at the forward N-th moment from the current moment until the predicted rotating speed of the rotating speed sensor at the forward 1 st moment from the current moment is calculated; obtaining the predicted rotating speed of the rotating speed sensor at the current moment according to the predicted rotating speed and the measured rotating speed of the rotating speed sensor at the 1 st moment from the current moment to the front; and when N is equal to 0, taking the measured rotating speed of the rotating speed sensor at the current moment as the predicted rotating speed of the rotating speed sensor at the current moment.
In one possible embodiment of the first aspect, calculating the predicted rotation speed of the rotation speed sensor at the N-1 th time point ahead from the current time point based on the predicted rotation speed and the measured rotation speed of the rotation speed sensor at the N-th time point ahead from the current time point includes: calculating a first product of the predicted rotating speed of the rotating speed sensor at the Nth moment from the current moment to the previous moment and the first weighting factor; calculating a second product of the predicted rotating speed of the rotating speed sensor at the Nth moment from the current moment to the previous moment and the second weighting factor; taking the sum of the first product and the second product as the predicted rotating speed of the rotating speed sensor at the N-1 th moment from the current moment to the front; wherein the first weighting factor and the second weighting factor are respectively greater than 0 and add up to 1.
In one possible embodiment of the first aspect, determining the operating state of the rotation speed sensor based on the predicted rotation speed and the measured rotation speed of the rotation speed sensor at the present time includes: if the difference value between the predicted rotating speed and the measured rotating speed of the rotating speed sensor at the current moment is greater than or equal to a preset deviation threshold value, judging that the running state of the rotating speed sensor is abnormal; if the difference value between the predicted rotating speed and the measured rotating speed of the rotating speed sensor at the current moment is smaller than a preset deviation threshold value, judging that the running state of the rotating speed sensor is normal; or if the difference value between the predicted rotating speed and the measured rotating speed of the rotating speed sensor at the current moment is greater than or equal to a preset deviation threshold value in the first preset time period, judging that the running state of the rotating speed sensor is abnormal; and if the difference values of the predicted rotating speed and the measured rotating speed of the rotating speed sensor at the current moment are not all larger than or equal to the preset deviation threshold value in the first preset time period, judging that the operating state of the rotating speed sensor is normal.
In a possible implementation manner of the first aspect, the method further includes: if the operating state of only one of the plurality of rotating speed sensors is judged to be abnormal, and the operating states of other rotating speed sensors are all normal, shielding the measuring data of the abnormal rotating speed sensor, and controlling the wind generating set to operate by using the measuring data of the other rotating speed sensors; and/or if the difference value between the predicted rotating speed and the measured rotating speed of the abnormal rotating speed sensor at the current moment is smaller than the preset deviation threshold value in the second preset time period, judging that the running state of the abnormal rotating speed sensor is recovered to be normal, and recovering the control of the measured data of the abnormal rotating speed sensor on the running of the wind generating set.
In a second aspect, an embodiment of the present invention provides a fault detection apparatus for a wind turbine generator system rotation speed sensor, including:
the measuring rotating speed obtaining module is used for obtaining the measuring rotating speeds of a plurality of rotating speed sensors of the wind generating set;
the predicted rotating speed obtaining module is used for obtaining the predicted rotating speed of the rotating speed sensor at the current moment according to the measured rotating speed of the rotating speed sensor at the previous N-1 moments of the current moment, wherein N is an integer greater than or equal to 1;
and the rotating speed sensor state judging module is used for judging the running state of the rotating speed sensor according to the difference value of the predicted rotating speed and the measured rotating speed of the rotating speed sensor at the current moment.
In a possible implementation manner of the second aspect, the predicted rotation speed obtaining module is specifically configured to, when N is greater than or equal to 1, sequentially calculate, according to the predicted rotation speed and the measured rotation speed of the rotation speed sensor at an nth time forward from the current time, the predicted rotation speed of the rotation speed sensor at an N-1 th time forward from the current time until the predicted rotation speed of the rotation speed sensor at a 1 st time forward from the current time is calculated; obtaining the predicted rotating speed of the rotating speed sensor at the current moment according to the predicted rotating speed and the measured rotating speed of the rotating speed sensor at the 1 st moment from the current moment to the front; and when N is equal to 0, taking the measured rotating speed of the rotating speed sensor at the current moment as the predicted rotating speed of the rotating speed sensor at the current moment.
In a possible implementation manner of the second aspect, the rotation speed sensor state determination module is specifically configured to determine that the operation state of the rotation speed sensor is abnormal if a difference between a predicted rotation speed and a measured rotation speed of the rotation speed sensor at the current time is greater than or equal to a preset deviation threshold; if the difference value between the predicted rotating speed and the measured rotating speed of the rotating speed sensor at the current moment is smaller than a preset deviation threshold value, judging that the running state of the rotating speed sensor is normal; or if the difference value between the predicted rotating speed and the measured rotating speed of the rotating speed sensor at the current moment is greater than or equal to a preset deviation threshold value in the first preset time period, judging that the running state of the rotating speed sensor is abnormal; and if the difference values of the predicted rotating speed and the measured rotating speed of the rotating speed sensor at the current moment are not all larger than or equal to the preset deviation threshold value in the first preset time period, judging that the operating state of the rotating speed sensor is normal.
In a possible implementation manner of the second aspect, the wind turbine further includes a fan operation control module, configured to determine that an operation state of the abnormal rotation speed sensor is recovered to be normal if a difference between a predicted rotation speed and a measured rotation speed of the abnormal rotation speed sensor at the current time is smaller than a preset deviation threshold within a second predetermined time period, and recover control of measurement data of the abnormal rotation speed sensor on operation of the wind turbine generator set; and/or if the difference value between the predicted rotating speed and the measured rotating speed of the abnormal rotating speed sensor at the current moment is smaller than the preset deviation threshold value in the second preset time period, judging that the running state of the abnormal rotating speed sensor is recovered to be normal, and recovering the control of the measured data of the abnormal rotating speed sensor on the running of the wind generating set.
In one possible embodiment of the second aspect, the fault detection device for the wind park rotational speed sensor is provided in a main controller of the wind park.
In a third aspect, an embodiment of the present invention provides a computer-readable storage medium, on which a program is stored, where the program, when executed by a processor, implements the fault detection method for a wind turbine generator system speed sensor as described above.
In the embodiment of the invention, the fault state of the rotating speed sensor is judged by combining the measured rotating speed at the current moment and the measured rotating speeds at the previous N moments (namely the historical measured rotating speeds in a period of time) at the current moment, considering that the rotating speed of the wind generating set does not suddenly change when the wind generating set is normal.
Compared with the prior art that the accuracy of the control rotating speed of the wind generating set is influenced due to the fact that a certain rotating speed sensor possibly breaks down or the performance of the rotating speed sensor is unstable, the historical measured rotating speed in a period of time has the characteristics of continuity and large data size, the influence of a small amount of measured data abnormity or data jumping can be counteracted, and the abnormal rotating speed sensor can be accurately identified, so that the influence of the measured data of the abnormal rotating speed sensor on the control rotating speed of the wind generating set is eliminated, the rotating speed fault shutdown frequency caused by the misjudgment of the rotating speed fault is reduced, and the power generation loss of the wind generating set is reduced.
Drawings
The present invention may be better understood from the following description of specific embodiments thereof taken in conjunction with the accompanying drawings, in which like or similar reference characters identify like or similar features.
FIG. 1 is a schematic flow chart of a fault detection method for a wind turbine generator system speed sensor according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a fault detection method for a wind turbine generator system speed sensor according to another embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a fault detection device for a rotation speed sensor of a wind generating set according to an embodiment of the invention;
fig. 4 is a schematic structural diagram of a fault detection device for a wind turbine generator system rotation speed sensor according to another embodiment of the present invention.
Detailed Description
Features and exemplary embodiments of various aspects of the present invention will be described in detail below. In the following detailed description, numerous specific details are set forth in order to provide a thorough understanding of the present invention.
The embodiment of the invention provides a fault detection method and device for a wind generating set rotating speed sensor and a storage medium. By adopting the technical scheme in the embodiment of the invention, the abnormal rotating speed sensor can be accurately identified, so that the influence of the measured data of the abnormal rotating speed sensor on the control rotating speed of the wind driven generator set is eliminated, the rotating speed failure shutdown frequency caused by the rotating speed failure misjudgment is reduced, and the power generation loss of the wind driven generator set is reduced.
Fig. 1 is a schematic flow chart of a fault detection method for a rotation speed sensor of a wind turbine generator system according to an embodiment of the present invention. As shown in fig. 1, the method includes steps 101 to 103.
In step 101, measured rotational speeds of a plurality of rotational speed sensors of a wind park are obtained.
In step 102, a predicted rotation speed of the rotation speed sensor at the current time is obtained according to the rotation speeds measured by the rotation speed sensor at the N times before the current time, wherein N is an integer greater than or equal to 0.
In step 103, the operating state of the rotational speed sensor is determined based on the difference between the predicted rotational speed and the measured rotational speed of the rotational speed sensor at the present time.
In one example, if the difference between the predicted rotation speed and the measured rotation speed of the rotation speed sensor at the current time is greater than or equal to a preset deviation threshold, it may be determined that the operation state of the rotation speed sensor is abnormal; and if the difference value between the predicted rotating speed and the measured rotating speed of the rotating speed sensor at the current moment is smaller than the preset deviation threshold value, the running state of the rotating speed sensor can be judged to be normal.
In another example, to further reduce the influence of the instantaneous abnormal data on the determination result, if the difference values between the predicted rotation speed and the measured rotation speed of the rotation speed sensor at the current time are all greater than or equal to a preset deviation threshold value within a first predetermined time period, the operation state of the rotation speed sensor is determined to be abnormal; and if the difference values of the predicted rotating speed and the measured rotating speed of the rotating speed sensor at the current moment are not all larger than or equal to the preset deviation threshold value in the first preset time period, the operating state of the rotating speed sensor can be judged to be normal.
In the embodiment of the invention, the fault state of the rotating speed sensor is judged by combining the measured rotating speed at the current moment and the measured rotating speeds at the previous N moments (namely the historical measured rotating speeds in a period of time) at the current moment, considering that the rotating speed of the wind generating set does not suddenly change when the wind generating set is normal.
Compared with the prior art that the accuracy of the control rotating speed of the wind generating set is influenced due to the fact that a certain rotating speed sensor possibly breaks down or the performance of the rotating speed sensor is unstable, the historical measured rotating speed in a period of time has the characteristics of continuity and large data size, the influence of a small amount of measured data abnormity or data jumping can be counteracted, and the abnormal rotating speed sensor can be accurately identified, so that the influence of the measured data of the abnormal rotating speed sensor on the control rotating speed of the wind generating set is eliminated, the rotating speed fault shutdown frequency caused by the misjudgment of the rotating speed fault is reduced, and the power generation loss of the wind generating set is reduced.
In one example, the calculation of the predicted speed may be based on an exponential weighted average method, such as:
when N is more than or equal to 1, calculating the predicted rotating speed of the rotating speed sensor at the forward N-1 th moment from the current moment in turn according to the predicted rotating speed and the measured rotating speed of the rotating speed sensor at the forward N-th moment from the current moment until the predicted rotating speed of the rotating speed sensor at the forward 1 st moment from the current moment is calculated; then, according to the predicted rotating speed and the measured rotating speed of the rotating speed sensor at the 1 st moment from the current moment to the front, the predicted rotating speed of the rotating speed sensor at the current moment is obtained;
and when N is equal to 0, taking the measured rotating speed of the rotating speed sensor at the current moment as the predicted rotating speed of the rotating speed sensor at the current moment.
Specifically, the predicted rotation speed at time t
Can be expressed as:
wherein β is a first weighting factor, 1- β is a second weighting factor,
is the predicted speed at time t-1,
for the measured speed at time t-1, t-1 indicates the first time forward at time t.
The technical solutions in the embodiments of the present invention are illustrated in detail below by way of examples.
Table 1 shows measured speed data of a plurality of speed sensors, specifically, t of GenSpeed1, GenSpeed2 and GenSpeed3, acquired by a wind generating set in real time1-t20Measured rotational speed data at the moment.
TABLE 1
| Serial number | GenSpeed1 | GenSpeed2 | GenSpeed3 |
| t1 | 0.41661 | 0.41596 | 0.41727 |
| t2 | 0.41596 | 0.42443 | 0.42638 |
| t3 | 0.43224 | 0.43224 | 0.43224 |
| t4 | 0.43224 | 0.43224 | 0.43224 |
| t5 | 0.43224 | 0.43224 | 0.43159 |
| t6 | 0.43224 | 0.43094 | 0.43224 |
| t7 | 0.43224 | 0.43094 | 0.43159 |
| t8 | 0.43094 | 0.43224 | 0.43224 |
| t9 | 0.43094 | 0.43224 | 0.43224 |
| t10 | 0.43224 | 0.43094 | 0.43289 |
| t11 | 0.43094 | 0.43224 | 0.43224 |
| t12 | 0.43224 | 0.43224 | 0.43224 |
| t13 | 0.43224 | 0.43094 | 0.43289 |
| t14 | 0.43028 | 0.43094 | 0.43159 |
| t15 | 0.43224 | 0.43224 | 0.43289 |
| t16 | 0.43224 | 0.43224 | 0.43289 |
| t17 | 0.43224 | 0.43094 | 0.43159 |
| t18 | 0.43094 | 0.43224 | 0.43224 |
| t19 | 0.43224 | 0.43744 | 0.43744 |
| t20 | 0.44395 | 0.44461 | 0.44461 |
If β is equal to 0.1, thenFrom equation (1) and Table (1), the predicted rotational speeds of GenSpeed1 at various times can be obtained, where t is given below as an example1-t4The calculation process of the time predicted rotating speed is as follows:
table 2 shows GenSpeed1 at t1-t20The predicted and measured rotational speeds at the time, and the deviation therebetween.
TABLE 2
With t14Deviation value of time14For the purpose of example only,14when the deviation is less than the preset deviation threshold value 0.05, the running state of the rotating speed sensor GenSpeed1 is normal, and otherwise, the running state of the rotating speed sensor GenSpeed1 is abnormal.
Fig. 2 is a schematic flow chart of a fault detection method for a wind generating set rotation speed sensor according to another embodiment of the present invention, and fig. 2 is different from fig. 1 in that step 103 in fig. 1 is followed by step 104 and step 105 in fig. 2.
In step 104, if it is determined that the operating state of only one of the plurality of speed sensors is abnormal and the operating states of all the other speed sensors are normal, the measurement data of the abnormal speed sensor is masked, and the operation of the wind turbine generator system is controlled by using the measurement data of the other speed sensors.
Compared with the single rotating speed fault protection strategy in the prior art, the embodiment of the invention can shield the measurement data of the abnormal rotating speed sensor under the condition that a certain rotating speed sensor is abnormal and other sensors are normal, and control the wind generating set to operate by utilizing the measurement data of other rotating speed sensors, thereby realizing the fault-tolerant operation of a plurality of rotating speed sensors, reducing the rotating speed fault shutdown frequency and reducing the loss of generated energy.
In step 105, if the difference between the predicted rotation speed and the measured rotation speed of the abnormal rotation speed sensor at the current moment is all smaller than the preset deviation threshold value within the preset time period, it is determined that the operation state of the abnormal rotation speed sensor is recovered to be normal, and the control of the operation of the wind generating set by the measurement data of the abnormal rotation speed sensor is recovered.
That is, when an abnormality of a certain rotation speed sensor is detected, the rotation speed sensor can be temporarily shielded from the control rotation speed, and the operation can be continued by using the measurement data of the rest measurement sensors; and when the difference value between the measured rotating speed and the predicted rotating speed of the abnormal sensor is at the preset deviation threshold value and lasts for a period of time, the rotating speed sensor can be determined to be recovered to be normal, and the rotating speed sensor can be switched into the control again, so that the rotating speed fault automatic crossing is realized.
Fig. 3 is a schematic structural diagram of a fault detection device for a rotation speed sensor of a wind turbine generator system according to an embodiment of the present invention. As shown in fig. 3, the fault detection apparatus includes: a measured speed obtaining module 301, a predicted speed obtaining module 302, and a speed sensor state determination module 303.
The measured rotating speed obtaining module 301 is used for obtaining measured rotating speeds of a plurality of rotating speed sensors of the wind generating set.
The predicted rotation speed obtaining module 302 is configured to obtain a predicted rotation speed of the rotation speed sensor at the current time according to the measured rotation speeds of the rotation speed sensor at N times before the current time, where N is an integer greater than or equal to 0.
Specifically, the predicted rotation speed obtaining module 302 is configured to, when N is greater than or equal to 1, sequentially calculate, according to the predicted rotation speed and the measured rotation speed of the rotation speed sensor at an nth time from the current time onward, the predicted rotation speed of the rotation speed sensor at an N-1 th time from the current time onward until the predicted rotation speed of the rotation speed sensor at the 1 st time from the current time onward is calculated; obtaining the predicted rotating speed of the rotating speed sensor at the current moment according to the predicted rotating speed and the measured rotating speed of the rotating speed sensor at the 1 st moment from the current moment to the front; and when N is equal to 0, taking the measured rotating speed of the rotating speed sensor at the current moment as the predicted rotating speed of the rotating speed sensor at the current moment.
The rotation speed sensor state determination module 303 is configured to determine an operating state of the rotation speed sensor according to the predicted rotation speed and the measured rotation speed of the rotation speed sensor at the current time.
Specifically, the rotation speed sensor state determining module 303 is configured to determine that the operation state of the rotation speed sensor is abnormal if the difference is greater than or equal to a preset deviation threshold; if the difference value is smaller than a preset deviation threshold value, judging that the running state of the rotating speed sensor is normal; or if all the difference values are greater than or equal to a preset deviation threshold value within a first preset time period, judging that the running state of the rotating speed sensor is abnormal; and if all the difference values are not greater than or equal to the preset deviation threshold value within the first preset time period, judging that the running state of the rotating speed sensor is normal.
Fig. 4 is a schematic structural diagram of a fault detection device for a speed sensor of a wind turbine generator system according to another embodiment of the present invention, and fig. 4 is different from fig. 3 in that the speed sensor fault detection device in fig. 4 further includes a fan operation control module 304.
The fan operation control module 304 is configured to determine that the operation state of the abnormal rotation speed sensor is recovered to be normal if the difference between the predicted rotation speed and the measured rotation speed of the abnormal rotation speed sensor at the current time is smaller than the preset deviation threshold value within a second predetermined time period, and recover the control of the measurement data of the abnormal rotation speed sensor on the operation of the wind turbine generator set; and/or if the difference value between the predicted rotating speed and the measured rotating speed of the abnormal rotating speed sensor at the current moment is smaller than the preset deviation threshold value in the second preset time period, judging that the running state of the abnormal rotating speed sensor is recovered to be normal, and recovering the control of the measured data of the abnormal rotating speed sensor on the running of the wind generating set.
It should be noted that, in practice, the main control system of the wind turbine is the "brain" of the wind turbine generator system and is responsible for switching over the state of the whole wind turbine generator system, logical judgment, coordination control of the whole wind turbine generator system and safety protection, so that the fault detection device of the rotation speed sensor in the embodiment of the present invention can be arranged in the main controller of the wind turbine generator system, thereby avoiding the modification of the existing hardware equipment and saving the manufacturing cost. Of course, the rotation speed sensor fault detection apparatus in the embodiment of the present invention may also be a logic device having an independent operation function, and is not limited herein.
Furthermore, an embodiment of the present invention further provides a computer-readable storage medium, on which a program is stored, and the program, when executed by a processor, implements the fault detection method for a wind turbine generator system speed sensor as described above.
It should be clear that the embodiments in this specification are described in a progressive manner, and the same or similar parts in the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. For the device embodiments, reference may be made to the description of the method embodiments in the relevant part. Embodiments of the invention are not limited to the specific steps and structures described above and shown in the drawings. Those skilled in the art may make various changes, modifications and additions to, or change the order between the steps, after appreciating the spirit of the embodiments of the invention. Also, a detailed description of known process techniques is omitted herein for the sake of brevity.
The functional blocks shown in the above-described structural block diagrams may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, plug-in, function card, or the like. When implemented in software, the elements of an embodiment of the invention are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. Examples of a machine-readable medium include electronic circuits, semiconductor memory devices, ROM, flash memory, Erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, Radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.
Embodiments of the present invention may be embodied in other specific forms without departing from its spirit or essential characteristics. For example, the algorithms described in the specific embodiments may be modified without departing from the basic spirit of the embodiments of the present invention. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the embodiments of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.
Claims (8)
1. A fault detection method for a rotating speed sensor of a wind generating set comprises the following steps:
obtaining the measured rotating speeds of a plurality of rotating speed sensors of the wind generating set;
obtaining a predicted rotating speed of the rotating speed sensor at the current moment according to the measured rotating speeds of the rotating speed sensor at the previous N moments of the current moment, wherein N is an integer greater than or equal to 0, and the measured rotating speeds at the previous N moments are historical measured rotating speeds within a period of time;
judging the running state of the rotation speed sensor according to the difference value of the predicted rotation speed and the measured rotation speed of the rotation speed sensor at the current moment;
the obtaining of the predicted rotating speed of the rotating speed sensor at the current moment according to the measured rotating speeds of the rotating speed sensor at the N moments before the current moment includes:
when N is larger than or equal to 1, calculating the predicted rotating speed of the rotating speed sensor at the N-1 th moment from the current moment forward according to the predicted rotating speed and the measured rotating speed of the rotating speed sensor at the N-th moment from the current moment forward in sequence until the predicted rotating speed of the rotating speed sensor at the 1 st moment from the current moment forward is calculated;
obtaining the predicted rotating speed of the rotating speed sensor at the current moment according to the predicted rotating speed and the measured rotating speed of the rotating speed sensor at the 1 st moment from the current moment to the front;
when N is equal to 0, taking the measured rotating speed of the rotating speed sensor at the current moment as the predicted rotating speed of the rotating speed sensor at the current moment; the calculating the predicted rotating speed of the rotating speed sensor at the N-1 th moment from the current moment according to the predicted rotating speed and the measured rotating speed of the rotating speed sensor at the Nth moment from the current moment to the front comprises:
calculating a first product of a predicted rotation speed of the rotation speed sensor at an Nth moment from the current moment to the previous moment and a first weighting factor;
calculating a second product of the measured rotating speed of the rotating speed sensor at the Nth moment from the current moment to the previous moment and a second weighting factor;
taking the sum of the first product and the second product as the predicted rotating speed of the rotating speed sensor at the N-1 th moment from the current moment;
wherein the first and second weighting factors are each greater than 0 and add to equal 1.
2. The method of claim 1, wherein determining the operational state of the speed sensor based on the predicted and measured speeds of the speed sensor at the current time comprises:
if the difference value between the predicted rotating speed and the measured rotating speed of the rotating speed sensor at the current moment is greater than or equal to a preset deviation threshold value, judging that the operating state of the rotating speed sensor is abnormal; if the difference value between the predicted rotating speed and the measured rotating speed of the rotating speed sensor at the current moment is smaller than the preset deviation threshold value, judging that the running state of the rotating speed sensor is normal; alternatively, the first and second electrodes may be,
if the difference value between the predicted rotating speed and the measured rotating speed of the rotating speed sensor at the current moment is greater than or equal to the preset deviation threshold value in a first preset time period, judging that the running state of the rotating speed sensor is abnormal; and if the difference values of the predicted rotating speed and the measured rotating speed of the rotating speed sensor at the current moment are not all larger than or equal to the preset deviation threshold value in the first preset time period, judging that the operating state of the rotating speed sensor is normal.
3. The method of claim 2, further comprising:
if the operating state of only one of the plurality of rotating speed sensors is judged to be abnormal, and the operating states of other rotating speed sensors are all normal, shielding the measuring data of the abnormal rotating speed sensor, and controlling the wind generating set to operate by using the measuring data of the other rotating speed sensors; and/or the presence of a gas in the gas,
and if the difference value between the predicted rotating speed and the measured rotating speed of the abnormal rotating speed sensor at the current moment is smaller than the preset deviation threshold value in a second preset time period, judging that the running state of the abnormal rotating speed sensor is recovered to be normal, and recovering the control of the measured data of the abnormal rotating speed sensor on the running of the wind generating set.
4. A fault detection device for a wind generating set speed sensor, comprising:
the measuring rotating speed obtaining module is used for obtaining the measuring rotating speeds of a plurality of rotating speed sensors of the wind generating set;
the predicted rotating speed obtaining module is used for obtaining the predicted rotating speed of the rotating speed sensor at the current moment according to the measured rotating speeds of the rotating speed sensor at the previous N moments of the current moment, N is an integer greater than or equal to 1, and the measured rotating speeds at the previous N moments are historical measured rotating speeds within a period of time;
the rotating speed sensor state judging module is used for judging the running state of the rotating speed sensor according to the difference value of the predicted rotating speed and the measured rotating speed of the rotating speed sensor at the current moment;
wherein the predicted rotation speed obtaining module is specifically configured to,
when N is larger than or equal to 1, calculating the predicted rotating speed of the rotating speed sensor at the N-1 th moment from the current moment forward according to the predicted rotating speed and the measured rotating speed of the rotating speed sensor at the N-th moment from the current moment forward in sequence until the predicted rotating speed of the rotating speed sensor at the 1 st moment from the current moment forward is calculated; obtaining the predicted rotating speed of the rotating speed sensor at the current moment according to the predicted rotating speed and the measured rotating speed of the rotating speed sensor at the 1 st moment from the current moment to the front;
when N is equal to 0, taking the measured rotating speed of the rotating speed sensor at the current moment as the predicted rotating speed of the rotating speed sensor at the current moment;
wherein the calculating the predicted rotation speed of the rotation speed sensor at the N-1 th moment from the current moment according to the predicted rotation speed and the measured rotation speed of the rotation speed sensor at the N-th moment from the current moment comprises: calculating a first product of a predicted rotation speed of the rotation speed sensor at an Nth moment from the current moment to the previous moment and a first weighting factor; calculating a second product of the measured rotating speed of the rotating speed sensor at the Nth moment from the current moment to the previous moment and a second weighting factor; taking the sum of the first product and the second product as the predicted rotating speed of the rotating speed sensor at the N-1 th moment from the current moment; wherein the first and second weighting factors are each greater than 0 and add to equal 1.
5. The apparatus of claim 4, wherein,
the rotating speed sensor state determination module is specifically configured to determine that the operating state of the rotating speed sensor is abnormal if a difference between the predicted rotating speed and the measured rotating speed of the rotating speed sensor at the current time is greater than or equal to a preset deviation threshold; if the difference value between the predicted rotating speed and the measured rotating speed of the rotating speed sensor at the current moment is smaller than the preset deviation threshold value, judging that the running state of the rotating speed sensor is normal; or if the difference value between the predicted rotating speed and the measured rotating speed of the rotating speed sensor at the current moment is greater than or equal to the preset deviation threshold value in a first preset time period, judging that the running state of the rotating speed sensor is abnormal; and if the difference values of the predicted rotating speed and the measured rotating speed of the rotating speed sensor at the current moment are not all larger than or equal to the preset deviation threshold value in the first preset time period, judging that the operating state of the rotating speed sensor is normal.
6. The device of claim 5, further comprising a fan operation control module, configured to determine that the operation state of the abnormal rotation speed sensor is recovered to normal if all differences between the predicted rotation speed and the measured rotation speed of the abnormal rotation speed sensor at the current time are smaller than the preset deviation threshold within a second predetermined time period, and recover control of the measurement data of the abnormal rotation speed sensor on operation of the wind turbine generator set; and/or if the difference value between the predicted rotating speed and the measured rotating speed of the abnormal rotating speed sensor at the current moment is smaller than the preset deviation threshold value in a second preset time period, judging that the running state of the abnormal rotating speed sensor is recovered to be normal, and recovering the control of the measured data of the abnormal rotating speed sensor on the running of the wind generating set.
7. The device according to any of claims 4-6, wherein the device is provided in a main controller of the wind park.
8. A computer-readable storage medium, on which a program is stored, wherein the program, when executed by a processor, implements a fault detection method for a wind park rotational speed sensor according to any of claims 1-3.
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