CN108845242B - Fault identification method and device, computer-readable storage medium - Google Patents

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

Fault identification method and device, computer-readable storage medium

technical field

The present 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 technique

The fault protection strategy commonly used by wind turbines is a single fault protection method, which compares the monitoring signal of the wind turbine with the protection boundary, and if the monitoring signal exceeds the protection boundary, it will notify the main controller of the wind turbine to perform shutdown protection operations . In order to enable the wind turbine to keep generating power without unnecessary shutdown, the fault-tolerant processing of the wind turbine is mainly carried out by expanding the protection boundary. After adding the fault-tolerant mechanism, the wind turbine may be shut down after multiple fault-tolerant warnings. Diagnosed as malfunctioning.

The fault identification strategy in the prior art is as follows: the fault when the wind power generating set enters the fault state from the normal operation state is regarded as a real fault for analyzing the cause of the fault of the wind power generating set, resulting in low recognition accuracy.

Contents of the invention

Embodiments of the present invention provide a fault identification method and device, and a computer-readable storage medium, which can be applied to fault analysis of wind power generators based on a fault tolerance mechanism, thereby improving the accuracy of fault identification of wind power generators.

In the first aspect, an embodiment of the present invention provides a fault identification method, and the fault identification method includes:

Grouping the faults of the wind turbines according to the target protection object, each group of faults includes multiple process faults associated with the target protection object and the target faults of the target protection object;

If the target fault meets the corresponding target fault trigger condition, the process fault with the highest correlation degree is selected from the triggered process faults in the same group as the target fault as the real fault that causes the wind turbine to stop.

In a possible implementation manner of the first aspect, the process fault with the highest correlation degree includes: the process fault with the earliest trigger time sequence among the triggered process faults in the same group as the target fault; or, the triggered process fault in the same group as the target fault The process fault with the highest priority among the process faults of , the priority indicates the degree of influence of the process fault on the target fault.

In a possible implementation of the first aspect, after grouping the faults of the wind power generating sets according to the target protection object, the method further includes: if any one of the multiple process faults in the same group as the target fault reaches a corresponding The process fault triggering condition of the process, and the target fault does not meet the corresponding target fault triggering condition, then the fault-tolerant operation of the wind turbine is performed.

In a possible implementation manner of the first aspect, executing the fault-tolerant operation of the wind generator set includes: adjusting an operating parameter of the wind generator set, so as to restore the state of the wind generator set to a state in which no process fault is triggered.

In a possible implementation manner of the first aspect, reaching the corresponding target fault trigger condition includes sampling data related to the target fault not satisfying the corresponding threshold information; if there are multiple sources of sampling data for the same fault, then according to the The value of the data determines whether the source of the sampling data is correct; if there are more than two correct sources of sampling data, the sampling data of the source with a higher priority among the two or more sources is selected as the sampling data related to the corresponding fault.

In the second aspect, the embodiment of the present invention also provides a fault identification device, the fault identification device includes:

The grouping module is used for grouping the faults of the wind power generators according to the target protection object, and each group of faults includes a plurality of process faults associated with the target protection object and target faults of the target protection object;

The identification module is used to select the process fault with the highest correlation degree from the triggered process faults in the same group as the target fault as the real fault that causes the wind turbine to shut down if the target fault meets the corresponding target fault trigger condition.

In a possible implementation manner of the second aspect, among the triggered process faults in the same group as the target fault, the process fault with the earliest trigger sequence, or, among the triggered process faults in the same group as the target fault, the process fault with the highest priority For process faults, the priority indicates the degree of influence of process faults on target faults.

In a possible implementation manner of the second aspect, the device is set in a main controller or a variable flow controller of the wind power generating set.

In the third aspect, the embodiment of the present invention also provides a fault identification device, including a memory, a processor, and a program stored in the memory and operable on the processor. When the processor executes the program, the above fault identification method is implemented.

In a fourth aspect, 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 above fault identification method is implemented.

As mentioned above, in order to locate the real faults of the wind turbines, the faults of the wind turbines can be grouped according to the target protection object, so that each group of faults includes multiple process faults associated with the target protection object and the target faults of the target protection object . If the target fault meets the corresponding target fault trigger condition, the process fault with the highest correlation degree is selected from the triggered process faults in the same group as the target fault as the real fault that causes the wind turbine to stop.

Because the embodiment of the present invention locates the fault that causes the shutdown of the wind power generating set as: selecting the process fault with the highest correlation degree among the triggered process faults in the same group as the target fault. Compared with the prior art that directly uses the target fault as the basis for fault judgment, the embodiment of the present invention can trace the real cause of the downtime of the wind power generating set, so it has higher fault location accuracy, so that it can be used for subsequent fault investigation and provide a basis for reference.

Description of drawings

The present invention can be better understood from the following description of specific embodiments of the present invention in conjunction with the accompanying drawings, wherein the same or similar reference numerals represent the same or similar features.

Fig. 1 is a schematic flow chart of the fault identification method provided by the first embodiment of the present invention;

FIG. 2 is a schematic flowchart of a fault identification method provided in a second embodiment of the present invention;

FIG. 3 is a schematic flowchart of a fault identification method provided in a third embodiment of the present invention;

FIG. 4 is a schematic flowchart of a fault identification method provided by a fourth embodiment of the present invention;

Fig. 5 is a schematic structural diagram of a fault identification device provided by a fifth embodiment of the present invention.

Detailed ways

Features and exemplary embodiments of various aspects of the 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 inventors of the present application found that after adopting the fault tolerance mechanism, the wind turbine may be diagnosed as a fault after multiple fault tolerance warnings, therefore, the cause of the wind turbine entering the fault state from the normal operation state is not necessarily the final fault state indicated failure. Therefore, embodiments of the present invention provide a fault identification method and device, and a computer-readable storage medium, which are used in the technical field of wind power generation. It considers the wind turbine as a whole, groups faults, and performs fault location based on grouped faults.

There are many types of faults involved in wind turbines. In one example, the converter water cooling system can be understood as a subsystem of the converter system. The temperature fault of the water cooling liquid will cause the temperature of the power device insulated gate bipolar transistor (Insulated Gate Bipolar Transistor, IGBT) 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 will become poor, and the temperature of the IGBT will rise sharply, eventually triggering an IGBT temperature fault.

After adopting the fault-tolerant mechanism, the wind turbine may be diagnosed as a fault after multiple fault-tolerant warnings. Therefore, the cause of the wind turbine entering the fault state from the normal operation state is not necessarily the fault indicated by the final fault state (real fault ). However, the technical solutions in the embodiments of the present invention can be applied to fault analysis of wind power generators based on the fault tolerance mechanism.

Fig. 1 is a schematic flowchart of a fault identification method provided by a first embodiment of the present invention. As shown in FIG. 1 , the fault identification method includes step 101 and step 102 .

In step 101, the faults of the wind power generators are grouped according to the target protection object, and 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.

Among them, the target protection object refers to the protection object closely related to the safe operation of the wind turbine. Combined with the actual operation of the wind turbine, the target protection object may be the speed of the wind turbine, the temperature of the IGBT of the converter, and the like.

In an example, the target protection object includes the temperature of the IGBT of the converter, and the target fault may be an IGBT temperature fault of the converter, which refers to an abnormal situation in which the temperature of the IGBT exceeds a predetermined temperature protection threshold. The process fault associated with the IGBT temperature of the converter refers to an abnormal situation that can cause the IGBT temperature to exceed a predetermined temperature protection range, such as a converter water cooling fluid temperature fault and a water cooling fan fault.

In step 102, if the target fault meets the corresponding target fault trigger condition, the process fault with the highest correlation degree is selected from the triggered process faults in the same group as the target fault as the real fault that causes the wind turbine to shut down.

In an optional embodiment, the process fault with the highest correlation may include the process fault with the earliest trigger time sequence among the triggered process faults in the same group as the target fault.

Following the above example, if the target protection object includes the converter IGBT temperature, and the converter water cooling liquid temperature fault and the water cooling fan fault are triggered successively, then when the converter IGBT temperature fault is triggered, the process fault with the highest correlation It is the converter water cooling liquid temperature failure.

In an optional embodiment, the process fault with the highest correlation may also include the process fault with the highest priority among the triggered process faults in the same group as the target fault, and the priority indicates the degree of influence of the process fault on the target fault.

Following the above example, if the target protection object includes the temperature of the converter IGBT, and compared with the fault of the water cooling fan, the fault of the water cooling fluid temperature of the converter has a greater impact on the IGBT temperature, then when the temperature fault of the converter IGBT After triggering, the process fault with the highest degree of correlation is the temperature fault of the converter water cooling liquid.

In the embodiment of the present invention, threshold information can be set for each target fault and related multiple process faults, then reaching the corresponding target fault trigger condition above includes that the sampling data related to the target fault does not meet the corresponding threshold information; The above triggered process faults include process faults in which sampling data related to the process faults satisfies corresponding threshold information.

It should be noted that, in the actual operation of the wind turbine, the sampling data of the same fault may come from multiple sources. For example, the source of the speed data of the wind power generating set includes: an encoder installed on the shaft of the motor, a pulse counter installed on the turntable, or a converter controller, etc.

In this case, it can be determined whether the source of the sampled data is correct according to the value of the sampled data. If there are more than two sampling data from correct sources, the sampling data from the source with a higher priority among the two or more sources is selected as the sampling data related to the corresponding fault. Wherein, the prioritization of each source can be determined according to the experience of those skilled in the art.

As mentioned above, in order to locate the real faults of the wind turbines, the faults of the wind turbines can be grouped according to the target protection object, so that each group of faults includes multiple process faults associated with the target protection object and the corresponding faults of the target protection object. Target failure. If the target fault meets the corresponding target fault trigger condition, the process fault with the highest correlation degree is selected from the triggered process faults in the same group as the target fault as the real fault that causes the wind turbine to stop.

Because the embodiment of the present invention locates the fault that causes the shutdown of the wind power generating set as: selecting the process fault with the highest correlation degree among the triggered process faults in the same group as the target fault. Compared with the prior art that directly uses the target fault as the basis for fault judgment, the embodiment of the present invention can trace the real cause of the downtime of the wind power generating set, so it has higher fault location accuracy, so that it can be used for subsequent fault investigation and provide a basis for reference.

Fig. 2 is a schematic flowchart of a fault identification method provided by a second embodiment of the present invention. The difference between FIG. 2 and FIG. 1 is that after step 101 in FIG. 1, step 103 in FIG. 2 is also included. It is used to specifically describe the fault-tolerant operation based on grouped wind turbine faults.

In step 103 , if any one of the multiple process faults in the same group as the target fault reaches the corresponding process fault trigger condition, and the target fault does not meet the corresponding target fault trigger condition, then the fault-tolerant operation is performed on the wind power generating set.

Among them, fault-tolerant operation refers to that after a process fault is triggered, it can first warn and continue to run without stopping, and then perform shutdown protection on the wind turbine until the target fault is triggered, instead of performing shutdown protection on the wind turbine as soon as a fault is triggered. Therefore, the number of shutdowns of the wind power generating set can be reduced, and the availability of the wind power generating set can be improved.

Since process faults can be used to represent the operation of subsystems, and target faults can be used to represent the operation of the overall system. Therefore, compared with the implementation of fault-tolerant operation of wind turbines by expanding the protection boundary in the prior art, the embodiment of the present invention can incorporate the impact of the failure of each subsystem on the overall system into the fault-tolerant strategy, thereby improving the fault protection of wind turbines. reliability of the mechanism.

According to the embodiment of the present invention, during the process of fault-tolerant operation of the wind power generating set, one or more process faults may be experienced, but they are only warned to continue running without stopping, and the wind generating set is not protected until the target fault is triggered. . This fault-tolerant method can also be understood as a passive fault-tolerant method.

Because the passive fault-tolerant method takes the protection domain degree of the target protection object as the control target, and does not make any control means for the cause of the fault, affected by the process fault, the target protection object will soon exceed the protection domain degree and trigger Corresponding target failure.

Therefore, in order to suppress the development trend of the above-mentioned process faults and prolong or avoid the eventual triggering of target faults, the embodiments of the present invention also provide an active fault tolerance mode.

Fig. 3 is a schematic flowchart of a fault identification method provided by a third embodiment of the present invention. The difference between FIG. 3 and FIG. 2 is that, after step 103 in FIG. 2 , step 104 in FIG. 3 may also be included, which is used to describe in detail the technical solution of active fault tolerance above.

In step 104, the operating parameters of the wind power generating set are adjusted, and the state of the wind power generating set is restored to a state where no process fault is triggered.

To facilitate the understanding of those skilled in the art, the specific implementation method of step 104 will be described in detail below by taking the target protection object as IGBT temperature and a process fault associated with IGBT temperature as converter water cooling temperature exceeding a preset threshold as an example.

Assuming that the water cooling liquid temperature fault of the converter has been triggered and the IGBT temperature has not reached the fault value, a warning can be issued for the high water cooling liquid temperature fault, and then the IGBT temperature is used as the control target to perform fault-tolerant operation on the wind turbine.

At the same time, in order to suppress the continuous rise of the temperature of the water cooling liquid, the output power of the wind turbine can be reduced, or the number of windings involved in the operation of the converter can be reduced to restore the water cooling temperature of the converter to below the preset threshold, so that The operation of the wind turbine returned to normal.

FIG. 4 is a schematic flowchart of a fault identification method provided by a fourth embodiment of the present invention, which is used to illustrate the above 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 provided for each final control object (ie, target protection object) and process controlled object to monitor the operation conditions of the final control object and process controlled object in real time.

In step 401, it is judged whether the measurement data of the process controlled object is abnormal, if the measurement data of the process controlled object is abnormal, execute step 402, otherwise return to execute step 401.

In step 402, it is judged whether the measurement data of the final controlled object still has domain degree; if the measurement data of the final controlled object still has domain degree, then step 403 is performed; otherwise, step 406 is performed.

In step 403, perform passive fault-tolerant operation on the wind power generating set and send warning information. Wherein, the warning information includes that a process fault is triggered.

In step 404, it is judged whether it is necessary to perform active fault-tolerant operation on the wind generating set; if it is necessary to perform active fault-tolerant operation on the wind generating set, then perform step 405, otherwise return to step 403;

In step 405, limited power or single-winding operation is performed on the wind power generating set.

In step 406, a fault shutdown is performed on the wind power generating set;

In step 407, combined with the alarm information in step 403, real fault identification is performed on the wind power generating set.

As mentioned above, the embodiment of the present invention can use the system-level protection domain as a reference to minimize the impact of process faults through active fault tolerance, thereby significantly reducing the frequency of wind turbine failures and improving the reliability of wind turbines. It can also combine the alarm information of process faults to identify real faults of wind turbines, providing a reference for subsequent fault investigation and resolution, and has good promotion and use value.

FIG. 5 is a schematic structural diagram of a fault identification device provided by a fifth embodiment of the present invention. As shown in FIG. 5 , the fault identification device includes a grouping module 501 and an identification module 502 .

Wherein, the grouping module 501 is used for grouping the faults of the wind power generators according to the target protection object, and each group of faults includes a plurality of process faults associated with the target protection object and target faults of the target protection object.

The identification module 502 is used to select the process fault with the highest correlation degree from the triggered process faults in the same group as the target fault as the real fault that causes the wind turbine to shut down if the target fault meets the corresponding target fault trigger condition.

In an optional embodiment, the process fault with the highest correlation degree includes: the process fault with the earliest trigger time sequence among the triggered process faults in the same group as the target fault.

In an optional embodiment, the process fault with the highest correlation degree includes: the process fault with the highest priority among the triggered process faults in the same group as the target fault, and the priority indicates the degree of influence of the process fault on the target fault.

Those skilled in the art can determine the type of process fault with the highest degree of correlation in combination with the actual operating conditions of the wind power generating set, which is not limited here.

In an optional embodiment, the above-mentioned fault identification device may be an independent device with a logic operation function. From the aspect of avoiding modification of the existing hardware structure, the above-mentioned fault identification device can also be set in the main controller or the inverter controller of the wind power generating set.

An embodiment of the present invention also provides a fault identification device, which includes a memory, a processor, and a program stored in the memory and operable on the processor. When the processor executes the program, the above fault identification method is implemented.

An embodiment of the present invention also provides a computer-readable storage medium, on which a program is stored, and when the program is executed by a processor, the above fault identification method is realized.

It should be clear that each embodiment in this specification is described in a progressive manner, and the same or similar parts of each embodiment can be referred to each other, and each embodiment focuses on the differences from other embodiments. place. For the device embodiment, for the related parts, refer to the description part of the method embodiment. Embodiments of the present invention are not limited to the specific steps and structures described above and shown in the figures. Those skilled in the art may make various changes, modifications and additions, or change the sequence of steps after understanding the spirit of the embodiments of the present invention. Also, for the sake of brevity, detailed descriptions of known methods and techniques are omitted here.

The functional blocks shown in the structural block diagrams described above 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, a plug-in, a function card, or the like. When implemented in software, the elements of the embodiments of the invention are the programs or code segments employed to perform the required tasks. Programs or code segments can be stored in machine-readable media, or transmitted over transmission media or communication links by data signals carried in carrier waves. "Machine-readable medium" may include any medium that can store or transmit information. Examples of machine-readable media 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 the like. Code segments may be downloaded via a computer network such as the Internet, an Intranet, or the like.

The embodiments of the present invention can be implemented in other specific forms without departing from its spirit and essential characteristics. For example, the algorithms described in certain embodiments may be modified without departing from the basic spirit of the embodiments of the invention without system architecture. Therefore, the current embodiments are to be considered in all respects as illustrative rather than restrictive, and the scope of the embodiments of the present invention is defined by the appended claims rather than the above description, and falls within the meaning and equivalents of the claims All changes within the range of objects are therefore included in the scope of the embodiments of the present invention.

Claims (10)

1. A fault identification method, characterized in that, comprising: Grouping the faults of the wind power generating sets according to a predetermined target protection object, each group of faults includes a plurality of process faults associated with the target protection object and target faults of the target protection object; If the target fault meets the corresponding target fault triggering condition, select the process fault with the highest correlation degree from the triggered process faults in the same group as the target fault as the real fault that causes the wind turbine to stop. 2. The method according to claim 1, wherein the process fault with the highest correlation degree comprises: The process fault with the earliest trigger timing among the triggered process faults in the same group as the target fault; or, A process fault with the highest priority among the triggered process faults in the same group as the target fault, where the priority indicates the degree of influence of the process fault on the target fault. 3. The method according to claim 1 or 2, characterized in that, after grouping the faults of the wind power generators according to the target protection object, the method further comprises: If any one of the plurality of process faults in the same group as the target fault reaches the corresponding process fault trigger condition, and the target fault does not meet the corresponding target fault trigger condition, then perform fault-tolerant operation on the wind power generating set. 4. The method according to claim 3, wherein the performing fault-tolerant operation on the wind power generating set comprises: Adjusting an operating parameter of the wind power generating set to restore the state of the wind power generating set to a state that does not trigger the process fault. 5. The method of claim 1, wherein, The trigger condition of reaching the corresponding target fault includes sampling data related to the target fault not satisfying corresponding threshold information; If there are multiple sources of sampled data for the same fault, then determine whether the source of the sampled data is correct according to the value of the sampled data; If there are more than two sampled data from correct sources, the sampled data from the source with a higher priority is selected as the sampled data related to the corresponding fault. 6. A fault identification device, characterized in that it comprises: A grouping module, configured to group faults of wind power generating sets according to target protection objects, each group of faults includes a plurality of process faults associated with the target protection objects and target faults of the target protection objects; An identification module, configured to select, from the triggered process faults in the same group as the target fault, the process fault with the highest correlation degree as the process fault that causes the wind turbine to shut down if the target fault reaches the corresponding target fault trigger condition. real failure. 7. The device according to claim 6, wherein the process fault with the highest correlation degree comprises: the process fault with the earliest trigger 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 indicates the degree of influence of the process fault on the target fault. 8. The device according to claim 6 or 7, characterized in that the device is set in the main controller or variable flow controller of the wind power generating set. 9. A fault identification device, comprising a memory, a processor and a program stored on the memory and operable on the processor, characterized in that, when the processor executes the program, it realizes any one of claims 1-5. The fault identification method described in the item. 10. A computer-readable storage medium, on which a program is stored, wherein when the program is executed by a processor, the fault identification method according to any one of claims 1-5 is implemented.