CN108845242B - Fault identification method and device, and computer readable storage medium - Google Patents
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- 238000005070 sampling Methods 0.000 claims description 16
- 230000002596 correlated effect Effects 0.000 claims description 3
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Abstract
The invention discloses a fault identification method and device and a computer readable storage medium. The fault identification method comprises the following steps: grouping faults of the wind generating set according to a target protection object, wherein each group of faults comprises a plurality of process faults related to the target protection object and a target fault of the target protection object; and if the target faults reach corresponding target fault triggering conditions, selecting the process faults with the highest relevance degree from the triggered process faults in the same group with the target faults as the real faults causing the shutdown of the wind generating set. The technical scheme in the embodiment of the invention can be suitable for fault analysis of the wind generating set based on the fault tolerance mechanism, thereby improving the accuracy of fault identification of the wind generating set.
Description
Technical Field
The invention relates to the technical field of wind power generation, in particular to a fault identification method and device and a computer readable storage medium.
Background
The common fault protection strategy of the wind generating set is a single fault protection method, namely, a monitoring signal of the wind generating set is compared with a protection boundary, and if the monitoring signal exceeds the protection boundary, a main controller of the wind generating set is informed to execute shutdown protection operation. In order to enable the wind generating set to keep generating operation under the condition of unnecessary shutdown, fault tolerance processing is mainly carried out on the wind generating set by expanding a protection boundary, and after a fault tolerance mechanism is added, the wind generating set can be diagnosed as a fault after multiple fault tolerance warnings.
The fault identification strategy in the prior art is as follows: and the fault when the wind generating set enters the fault state from the normal operation state is regarded as a real fault for analyzing the fault occurrence reason of the wind generating set, so that the identification accuracy is low.
Disclosure of Invention
The embodiment of the invention provides a fault identification method and device and a computer readable storage medium, which can be suitable for fault analysis of a wind generating set based on a fault tolerance mechanism, so that the fault identification accuracy of the wind generating set is improved.
In a first aspect, an embodiment of the present invention provides a fault identification method, where the fault identification method includes:
grouping faults of the wind generating set according to a target protection object, wherein each group of faults comprises a plurality of process faults related to the target protection object and a target fault of the target protection object;
and if the target faults reach corresponding target fault triggering conditions, selecting the process faults with the highest relevance degree from the triggered process faults in the same group with the target faults as the real faults causing the shutdown of the wind generating set.
In a possible implementation manner of the first aspect, the process fault with the highest relevance includes: triggering the earliest process fault in the triggered process faults in the same group with the target fault; or, the process fault with the highest priority in the triggered process faults in the same group with the target fault, wherein the priority represents the influence degree of the process fault on the target fault.
In one possible embodiment of the first aspect, after grouping the faults of the wind park according to the target protection object, the method further comprises: and if any one of the process faults in the same group with the target fault reaches the corresponding process fault triggering condition and the target fault does not reach the corresponding target fault triggering condition, executing fault-tolerant operation on the wind generating set.
In one possible embodiment of the first aspect, performing fault tolerant operation on the wind park comprises: and adjusting the operating parameters of the wind generating set to recover the state of the wind generating set to be the state of the failure of the un-triggered process.
In one possible implementation of the first aspect, the reaching of the corresponding target fault trigger condition includes that the sampled data related to the target fault does not satisfy the corresponding threshold information; if the same fault sampling data source is multiple, determining whether the sampling data source is correct according to the sampling data value; if more than two sources of correct sampling data exist, the sampling data of the source with higher priority in the more than two sources is selected as the sampling data related to the corresponding fault.
In a second aspect, an embodiment of the present invention further provides a fault recognition apparatus, where the fault recognition apparatus includes:
the system comprises a grouping module, a fault analysis module and a fault analysis module, wherein the grouping module is used for grouping faults of the wind generating set according to a target protection object, and each group of faults comprises a plurality of process faults related to the target protection object and a target fault of the target protection object;
and the identification module is used for selecting the process fault with the highest relevance degree from the triggered process faults in the same group with the target fault as the real fault causing the shutdown of the wind generating set if the target fault reaches the corresponding target fault triggering condition.
In a possible embodiment of the second aspect, the process fault with the earliest triggering time sequence among the triggered process faults in the same group as the target fault, or the process fault with the highest priority among the triggered process faults in the same group as the target fault, the priority indicating the degree of influence of the process fault on the target fault.
In a possible embodiment of the second aspect, the device is provided in a main controller or a variable flow controller of the wind park.
In a third aspect, an embodiment of the present invention further provides a fault identification apparatus, which includes a memory, a processor, and a program stored in the memory and capable of running on the processor, and when the processor executes the program, the fault identification method as described above is implemented.
In a fourth aspect, the embodiment of the present invention further provides a computer-readable storage medium, on which a program is stored, and when the program is executed by a processor, the fault identification method as described above is implemented.
As described above, to locate the real faults of the wind turbine generator system, the faults of the wind turbine generator system may be first grouped according to the target protection object, such that each group of faults includes a plurality of process faults associated with the target protection object and a target fault of the target protection object. And if the target faults reach corresponding target fault triggering conditions, selecting the process faults with the highest relevance degree from the triggered process faults in the same group with the target faults as the real faults causing the shutdown of the wind generating set.
As the embodiment of the invention positions the fault which causes the shutdown of the wind generating set as follows: and selecting the process fault with the highest relevance from the triggered process faults in the same group with the target fault. Compared with the prior art that the target fault is directly used as the fault judgment basis, the method and the device can trace the real reason causing the shutdown of the wind generating set, so that the method and the device have higher fault positioning accuracy, and can provide a reference basis for subsequent troubleshooting and solution.
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The present invention will 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 designate like or similar features.
Fig. 1 is a schematic flow chart of a fault identification method according to a first embodiment of the present invention;
fig. 2 is a schematic flow chart of a fault identification method according to a second embodiment of the present invention;
fig. 3 is a schematic flow chart of a fault identification method according to a third embodiment of the present invention;
fig. 4 is a schematic flow chart of a fault identification method according to a fourth embodiment of the present invention;
fig. 5 is a schematic structural diagram of a fault identification device according to a fifth 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 inventor of the application finds that, after the fault-tolerant mechanism is adopted, the wind generating set may be diagnosed as a fault after a plurality of fault-tolerant warnings, and therefore, the reason for causing the wind generating set to enter the fault state from the normal operation state is not necessarily the fault indicated by the final fault state. Therefore, the embodiment of the invention provides a fault identification method and device and a computer-readable storage medium, which are used in the technical field of wind power generation. The wind generating set is considered as a whole, faults are grouped, and fault location is carried out based on the grouped faults.
Wind turbine generator systems are involved in a number of types of faults. In one example, the converter water cooling system may be understood as a subsystem of the converter system. The temperature failure of the water-cooled liquid can cause the temperature of an Insulated Gate Bipolar Transistor (IGBT) of a power device in the converter to rise. For example, if the temperature of the water-cooling liquid is too high, the heat dissipation effect of the IGBT becomes poor, the temperature of the IGBT rises sharply, and finally, the temperature fault of the IGBT is triggered.
Since the wind turbine generator system may be diagnosed as a fault after multiple fault-tolerant warnings after the fault-tolerant mechanism is adopted, the reason causing the wind turbine generator system to enter the fault state from the normal operation state is not necessarily a fault (a real fault) indicated by the final fault state. The technical scheme in the embodiment of the invention can be suitable for fault analysis of the wind generating set based on the fault tolerance mechanism.
Fig. 1 is a schematic flow chart of a fault identification method according to a first embodiment of the present invention. As shown in fig. 1, the fault identification method includes steps 101 and 102.
In step 101, faults of the wind generating sets are grouped according to target protection objects, wherein each group of faults comprises a plurality of process faults associated with the target protection objects and target faults corresponding to the target protection objects.
The target protection object refers to a protection object closely related to safe operation of the wind generating set. The target protection object can be the rotating speed of the wind generating set, the temperature of the converter IGBT and the like by combining the actual operation condition of the wind generating set.
In one example, the target protection object includes a converter IGBT temperature, and the target fault may be an IGBT temperature fault of the converter, which refers to an abnormal condition that the IGBT temperature exceeds a predetermined temperature protection domain. The process fault associated with the IGBT temperature of the converter refers to an abnormal situation that may cause the IGBT temperature to exceed a predetermined temperature protection range, such as a converter water-cooling liquid temperature fault and a water-cooling heat dissipation fan fault.
In step 102, if the target fault reaches the corresponding target fault triggering condition, selecting the process fault with the highest relevance from the triggered process faults in the same group with the target fault as the real fault causing the shutdown of the wind generating set.
In an alternative embodiment, the most highly correlated process fault may include the process fault with the earliest trigger timing among the triggered process faults in the same group as the target fault.
Following the above example, if the target protection object includes converter IGBT temperature and the converter water-cooled temperature fault and the water-cooled radiator fan fault are triggered in sequence, then when the converter IGBT temperature fault is triggered, the process fault with the highest correlation degree is the converter water-cooled temperature fault.
In an alternative embodiment, the process fault with the highest association degree may further include a process fault with the highest priority among the triggered process faults in the same group as the target fault, and the priority represents the degree of influence of the process fault on the target fault.
Following the example above, if the target protection object includes converter IGBT temperature and the converter water coolant temperature fault has a greater impact on the IGBT temperature than the s.c. fan fault, then when the converter IGBT temperature fault triggers, the process fault with the highest correlation is the converter water coolant temperature fault.
In the embodiment of the present invention, threshold information may be set for each target fault and the plurality of related process faults, respectively, and the condition for reaching the corresponding target fault in the foregoing includes that the sampling data related to the target fault does not satisfy the corresponding threshold information; the process faults that have been triggered in the foregoing include process faults in which the sampled data associated with the process fault satisfies the corresponding threshold information.
It should be noted that, in the actual operation of the wind turbine generator system, the source of the sampled data of the same fault may be multiple. For example, the sources of wind turbine generator system rotational speed data include: an encoder arranged on a motor rotating shaft, a pulse counter or a converter controller arranged on a turntable and the like.
In this case, whether the source of the sample data is correct may be determined based on the value of the sample data. If more than two sources of correct sampling data exist, the sampling data of the source with higher priority in the more than two sources is selected as the sampling data related to the corresponding fault. Where the prioritization of sources can be determined empirically by one skilled in the art.
As described above, to locate the real fault of the wind turbine generator system, the faults of the wind turbine generator system may be firstly grouped according to the target protection object, so that each group of faults includes a plurality of process faults associated with the target protection object and a target fault corresponding to the target protection object. And if the target faults reach corresponding target fault triggering conditions, selecting the process faults with the highest relevance degree from the triggered process faults in the same group with the target faults as the real faults causing the shutdown of the wind generating set.
As the embodiment of the invention positions the fault which causes the shutdown of the wind generating set as follows: and selecting the process fault with the highest relevance from the triggered process faults in the same group with the target fault. Compared with the prior art that the target fault is directly used as the fault judgment basis, the method and the device can trace the real reason causing the shutdown of the wind generating set, so that the method and the device have higher fault positioning accuracy, and can provide a reference basis for subsequent troubleshooting and solution.
Fig. 2 is a schematic flow chart of a fault identification method according to a second embodiment of the present invention. Fig. 2 differs from fig. 1 in that step 103 in fig. 2 is also included after step 101 in fig. 1. The method is used for specifically describing fault-tolerant operation conditions based on grouped wind generating set faults.
In step 103, if any one of the process faults in the same group as the target fault reaches the corresponding process fault trigger condition and the target fault does not reach the corresponding target fault trigger condition, performing fault-tolerant operation on the wind turbine generator system.
The fault-tolerant operation means that after a process fault is triggered, the wind generating set can be warned not to be stopped to continue operation, and the wind generating set is not stopped and protected until a target fault is triggered, but the wind generating set is not stopped and protected as long as the fault is triggered, so that the stop times of the wind generating set can be reduced, and the availability of the wind generating set is improved.
Since process faults can be used to represent the operation of the subsystem, and target faults can be used to represent the operation of the overall system. Therefore, compared with the fault-tolerant operation of the wind generating set executed by expanding the protection boundary in the prior art, the embodiment of the invention can bring the influence of the fault of each subsystem on the whole system into a fault-tolerant strategy, thereby improving the reliability of the fault protection mechanism of the wind generating set.
According to the embodiment of the invention, one or more process faults can be experienced in the process of executing fault-tolerant operation of the wind generating set, but the wind generating set is only warned not to stop and continue to operate until the target fault is triggered, and then the wind generating set is executed with shutdown protection. This fault-tolerant approach may also be understood as a passive fault-tolerant approach.
Because the passive fault-tolerant mode takes the protection domain degree of the target protection object as a control target, no regulation and control means is carried out on the reason of the fault, and the target protection object can quickly exceed the protection domain degree under the influence of the process fault to trigger the corresponding target fault.
Therefore, in order to suppress the development trend of the process fault and prolong or avoid the final trigger target fault, the embodiment of the invention also provides an active fault-tolerant mode.
Fig. 3 is a schematic flow chart of a fault identification method according to a third embodiment of the present invention. Fig. 3 is different from fig. 2 in that step 103 in fig. 2 may be followed by step 104 in fig. 3, which is used to describe the above active fault tolerance scheme in detail.
In step 104, the operating parameters of the wind turbine generator system are adjusted to restore the wind turbine generator system to a state in which no process fault is triggered.
For the convenience of those skilled in the art to understand, the specific implementation method of step 104 is described in detail below by taking the target protection object as the IGBT temperature, and taking an example that one process fault associated with the IGBT temperature is that the converter water cooling temperature exceeds the preset threshold.
And if the temperature of the water-cooling liquid of the converter is triggered and the temperature of the IGBT does not reach a fault value, warning can be reported for the fault with high temperature of the water-cooling liquid, and then fault-tolerant operation is executed on the wind generating set by taking the temperature of the IGBT as a control target.
Meanwhile, in order to inhibit the temperature of the water cooling liquid from continuously rising, the output power of the wind generating set can be reduced, or the number of windings participating in the operation of the converter is reduced, so that the water cooling temperature of the converter is recovered to be lower than a preset threshold value, and the operation of the wind generating set is recovered to be normal.
Fig. 4 is a schematic flowchart of a fault identification method according to a fourth embodiment of the present invention, which is used to illustrate the fault identification method in combination with an application environment. The fault identification method shown in fig. 4 includes steps 401 to 407.
It is assumed that corresponding sensors are respectively provided for each of the final control object (i.e., the target protection object) and the process controlled object, so as to monitor the operation conditions of the final control object and the process controlled object in real time.
In step 401, it is determined whether the measurement data of the process controlled object is abnormal, if the measurement data of the process controlled object is abnormal, step 402 is executed, otherwise, step 401 is executed.
In step 402, determining whether the measured data of the final controlled object has a domain degree; if the measured data of the final controlled object still has the domain degree, step 403 is executed, otherwise, step 406 is executed.
In step 403, a passive fault-tolerant operation is performed on the wind turbine generator set and a warning message is sent. Wherein the warning message includes that the process fault is triggered.
In step 404, it is determined whether active fault-tolerant operation of the wind turbine generator system is required; if active fault-tolerant operation needs to be executed on the wind generating set, executing the step 405, otherwise, returning to the step 403;
in step 405, a limited power or single winding operation is performed on the wind park.
In step 406, performing a fault shutdown on the wind turbine generator set;
in step 407, the wind generating set is subjected to real fault identification in combination with the alarm information in step 403.
As described above, the embodiment of the invention can take the system-level protection domain as a reference, and reduce the influence degree of the process fault to the minimum in an active fault-tolerant manner, thereby significantly reducing the occurrence frequency of the fault of the wind generating set and improving the reliability and the generating capacity of the wind generating set; the real fault identification can be carried out on the wind generating set by combining the alarm information of the process fault, a reference basis is provided for subsequent troubleshooting and solving of the fault, and the method has good popularization and use values.
Fig. 5 is a schematic structural diagram of a fault identification apparatus according to a fifth embodiment of the present invention, and as shown in fig. 5, the fault identification apparatus includes a grouping module 501 and an identification module 502.
The grouping module 501 is configured to group faults of the wind turbine generator system according to target protection objects, where each group of faults includes a plurality of process faults associated with the target protection objects and a target fault of the target protection objects.
The identification module 502 is configured to, if the target fault reaches the corresponding target fault triggering condition, select a process fault with the highest relevance from the triggered process faults in the same group as the target fault as a real fault that causes the wind turbine generator to stop.
In an alternative embodiment, the process fault with the highest relevance comprises: the process fault with the earliest trigger timing among the triggered process faults in the same group as the target fault.
In an alternative embodiment, the process fault with the highest relevance comprises: the process fault with the highest priority in the triggered process faults in the same group as the target fault, wherein the priority represents the influence degree of the process fault on the target fault.
The person skilled in the art may determine the type of the process fault with the highest correlation in combination with the actual operating conditions of the wind turbine generator set, which is not limited herein.
In an alternative embodiment, the fault recognition means may be a stand-alone device having a logic operation function. In view of avoiding the modification of the existing hardware structure, the fault identification device may also be disposed in a main controller or a converter controller of the wind turbine generator system.
The embodiment of the invention also provides a fault identification device, which comprises a memory, a processor and a program which is stored on the memory and can run on the processor, wherein the fault identification method is realized when the processor executes the program.
An embodiment of the present invention further provides a computer-readable storage medium, on which a program is stored, and when the program is executed by a processor, the fault identification method as described above is implemented.
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 (10)
1. A method of fault identification, comprising:
grouping faults of the wind generating set according to a predetermined target protection object, wherein each group of faults comprises a plurality of process faults associated with the target protection object and a target fault of the target protection object;
and if the target faults reach corresponding target fault triggering conditions, selecting the process faults with the highest relevance degree from the triggered process faults in the same group with the target faults as the real faults causing the wind generating set to stop.
2. The method of claim 1, wherein the most highly correlated process fault comprises:
triggering the earliest process fault in the triggered process faults in the same group with the target fault; or,
the process fault with the highest priority in the triggered process faults in the same group with the target fault, wherein the priority represents the influence degree of the process fault on the target fault.
3. Method according to claim 1 or 2, wherein after said grouping of faults of wind park according to target protection objects, the method further comprises:
and if any one of the process faults in the same group with the target fault reaches the corresponding process fault triggering condition and the target fault does not reach the corresponding target fault triggering condition, executing fault-tolerant operation on the wind generating set.
4. The method of claim 3, wherein the performing fault tolerant operation on the wind turbine generator set comprises:
adjusting the operating parameters of the wind generating set to restore the state of the wind generating set to a state in which the process fault is not triggered.
5. The method of claim 1,
the reaching of the corresponding target fault trigger condition includes that the sampled data related to the target fault does not satisfy corresponding threshold information;
if the same fault sampling data source is multiple, determining whether the sampling data source is correct according to the sampling data value;
if more than two correct sampling data exist, the sampling data of the source with higher priority is selected as the sampling data related to the corresponding fault.
6. A fault identification device, comprising:
the system comprises a grouping module, a fault analysis module and a fault analysis module, wherein the grouping module is used for grouping faults of the wind generating set according to a target protection object, and each group of faults comprises a plurality of process faults related to the target protection object and a target fault of the target protection object;
and the identification module is used for selecting the process fault with the highest relevance degree from the triggered process faults in the same group with the target fault as the real fault causing the shutdown of the wind generating set if the target fault reaches the corresponding target fault triggering condition.
7. The apparatus of claim 6, wherein the most highly correlated process fault comprises: the process fault with the earliest triggering time sequence in the triggered process faults in the same group with the target fault or the process fault with the highest priority in the triggered process faults in the same group with the target fault, wherein the priority represents the influence degree of the process fault on the target fault.
8. The device according to claim 6 or 7, characterized in that the device is arranged in a main controller or a variable flow controller of a wind power plant.
9. A fault recognition apparatus comprising a memory, a processor and a program stored on the memory and executable on the processor, wherein the processor implements the fault recognition method according to any one of claims 1 to 5 when executing the program.
10. A computer-readable storage medium on which a program is stored, the program, when being executed by a processor, implementing the fault identification method according to any one of claims 1 to 5.
Priority Applications (5)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810560696.1A CN108845242B (en) | 2018-05-25 | 2018-05-25 | Fault identification method and device, and computer readable storage medium |
| PCT/CN2019/072208 WO2019223350A1 (en) | 2018-05-25 | 2019-01-17 | Fault handling method and apparatus for wind power generator set, and computer readable storage medium |
| AU2019272126A AU2019272126B2 (en) | 2018-05-25 | 2019-01-17 | Fault handling method and apparatus for wind power generator set, and computer readable storage medium |
| US16/765,020 US11146192B2 (en) | 2018-05-25 | 2019-01-17 | Fault handling method and apparatus for wind power generator set, and computer readable storage medium |
| EP19807684.6A EP3691111B1 (en) | 2018-05-25 | 2019-01-17 | Fault handling method and apparatus for wind power generator set, and computer readable storage medium |
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| CN201810560696.1A CN108845242B (en) | 2018-05-25 | 2018-05-25 | Fault identification method and device, and computer readable storage medium |
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| CN108845242A CN108845242A (en) | 2018-11-20 |
| CN108845242B true CN108845242B (en) | 2019-09-13 |
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| AU2019272126B2 (en) * | 2018-05-25 | 2020-10-22 | Beijing Goldwind Science & Creation Windpower Equipment Co., Ltd. | Fault handling method and apparatus for wind power generator set, and computer readable storage medium |
| CN109827289B (en) * | 2019-01-03 | 2020-06-05 | 珠海格力电器股份有限公司 | Method, device and system for determining system fault |
| CN109885598B (en) * | 2019-01-25 | 2021-03-02 | 沈阳无距科技有限公司 | Fault identification method and device, computer readable storage medium and electronic equipment |
| CN113917356A (en) * | 2021-09-14 | 2022-01-11 | 科华数据股份有限公司 | UPS part monitoring device |
| CN114321872B (en) * | 2022-01-07 | 2024-01-19 | 神华神东电力有限责任公司 | Boiler protection method and boiler protection device |
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