Wind turbine generator system fault diagnosis and treatment method and system

Abstract

The embodiment of the application provides a wind turbine generator unit fault diagnosis and treatment method and system, and belongs to the technical field of wind power. The method comprises the following steps: collecting operation state information of a target wind turbine generator unit, and executing corresponding wind turbine generator unit operation state judgment based on the operation state information; when it is judged that the operation state of the target wind turbine generator unit is abnormal, triggering fault type judgment, obtaining corresponding fault type judgment result based on the cached operation state information; executing corresponding control scheme matching based on the judgment result of the fault type; and executing target wind turbine generator unit control based on the matched control scheme. The scheme can effectively improve the accuracy and timeliness of fault diagnosis, realize intelligent control of the wind turbine generator unit, reduce human misjudgment and downtime, and improve the overall operation efficiency and power generation of the wind turbine.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of wind power, in particular to a wind turbine fault diagnosis and treatment method and a wind turbine fault diagnosis and treatment system. BACKGROUND

[0002] In the actual operation process of a wind turbine, various faults often occur due to equipment aging, environmental factors or component damage, etc. At present, the fault handling method of a wind turbine is usually to sort and classify the faults to determine a list of faults that cannot be reset. When a fault occurs, the maintenance personnel need to refer to the list to determine whether the fault can be directly reset. This method has certain limitations and problems.

[0003] The current fault classification list has many items, especially in the case of a unit involving multiple disciplines and different components, the fault types are complex and diverse. In the face of such a situation, the maintenance personnel need to check one by one after the fault occurs, which is easy to cause omission or misjudgment. In addition, it is often difficult to provide evidence to determine whether the unit can be reset only by the fault name, which is easy to lead to blind operation and may cause further safety risks. The wind turbine has complex operating conditions, and the traditional judgment method based on the preset list lacks real-time analysis and feedback of the operating state of the unit. Since different faults may have different handling requirements under different operating conditions, if the actual operating state is not considered for flexible adjustment, the unit may be frequently shut down unnecessarily, reducing the power generation efficiency and affecting the economic benefits.

[0004] In addition, after the fault occurs, the maintenance personnel usually need to go to the scene for manual inspection, which may consume a lot of time and human resources, especially in the case of a wind turbine site far away from the central control room, which may cause a long downtime and affect the overall power generation efficiency and benefits of the wind farm. If only alarm prompts are used for handling, potential faults may be ignored, and small faults may not be solved in time, thus gradually evolving into more serious problems.

[0005] Therefore, the existing fault diagnosis and handling method has the problems of low automation, lack of real-time fault analysis, and low handling efficiency, and an intelligent solution is urgently needed. SUMMARY

[0006] The purpose of the embodiments of the present application is to provide a wind turbine fault diagnosis and treatment method and system to at least solve the problems of low automation, lack of real-time fault analysis, and low handling efficiency of the existing fault diagnosis and handling method.

[0007] In order to achieve the above object, the first aspect of the present application provides a wind turbine fault diagnosis and treatment method, the method comprising: collecting the operation state information of the target wind turbine, and executing the corresponding wind turbine operation state judgment based on the operation state information; when it is determined that the operation state of the target wind turbine is abnormal, triggering the fault type judgment, obtaining the corresponding fault type judgment result based on the cached operation state information; executing the corresponding control scheme matching based on the determination result of the fault type; and executing the control of the target wind turbine based on the matched control scheme.

[0008] Optionally, the operation state information is pre-processed, and after the data pre-processing, the operation state is subjected to data classification processing to obtain a signal data set of each abnormality judgment condition; based on the abnormal data set of each abnormality judgment condition and the preset data interval of the corresponding abnormality judgment condition, it is determined whether there is signal data deviating from the corresponding preset data interval; if there is any signal data deviating from the corresponding preset data interval, it is determined that the operation state of the target wind turbine is abnormal; otherwise, if the abnormal data set of all abnormality judgment conditions is within the preset data interval of the corresponding abnormality judgment condition, it is determined that the operation state of the target wind turbine is normal.

[0009] Optionally, after it is determined that the operation state of the target wind turbine is abnormal, the method further comprises: executing the fault predetermination based on the abnormal operation state information, and the predetermination rule is that the abnormality judgment condition corresponding to the signal data deviating from the corresponding preset data interval is taken as the fault reference condition; performing the fault type coupling matching based on each fault reference condition, and taking the matched fault type as the initial fault.

[0010] Optionally, when it is determined that the operation state of the target wind turbine is abnormal, the fault type judgment is triggered, and the corresponding fault type judgment result is obtained based on the initial fault and the cached operation state information, which comprises: in response to the fault type judgment trigger signal, executing the fault predetermination based on the abnormal operation state information; executing the corresponding operation state information caching based on the fault predetermination result; executing the initial fault identification based on the cached operation state information, and executing the fault type judgment based on the initial fault identification result and the cached operation state information to obtain the corresponding fault type judgment result.

[0011] Optionally, the operation state information caching based on the fault predetermination result comprises: determining the caching requirement information of the operation state information based on the fault predetermination result; wherein the caching requirement information comprises any one or more of the following: data volume, data point, collection period and collection time length; and the operation state information corresponding to the fault predetermination result is cached based on the caching requirement information.

[0012] Optionally, the executing first-failure identification based on the cached running state information comprises: taking the fault predetermination result as an initial first-failure; judging whether the cached running state information is consistent with a development trend of the running state information of the initial first-failure; if it is judged that the cached running state information is consistent with the development trend of the running state information of the initial first-failure, taking the initial first-failure as the identified first-failure; and if it is judged that the cached running state information is not consistent with the development trend of the running state information of the initial first-failure, outputting a first-failure identification error signal.

[0013] Optionally, the executing fault type judgment based on the first-failure identification result and the cached running state information comprises: if the first-failure identification result is taking the initial first-failure as the identified first-failure, performing fault type matching based on the first-failure; wherein the fault type is a resettable fault type or a non-resettable fault type; the resettable fault type comprises a non-limit condition reset type and a limit condition reset type.

[0014] Optionally, the executing corresponding control scheme matching based on the judgment result of the fault type comprises: if the first-failure identification result is a first-failure identification error or the fault type is a non-resettable fault type, the corresponding control scheme is a shutdown scheme; if the fault type is a non-limit condition reset type in the resettable fault type, performing automatic reset based on whether an automatic reset permission is opened or pushing a reset prompt information to a supervision end; if the fault type is a limit condition reset type in the resettable fault type, performing automatic reset based on whether an automatic reset permission is opened or pushing a reset prompt information to a supervision end, and controlling the target wind turbine to operate based on a corresponding limit condition after the reset is completed; wherein the limit condition comprises any one or more of a limit power operation, a limit pitch angle operation and a limit time operation.

[0015] The second aspect of the present application provides a wind turbine fault diagnosis and treatment system, which comprises: a collection unit configured to collect running state information of a target wind turbine and execute corresponding wind turbine running state judgment based on the running state information; a type judgment unit configured to trigger fault type judgment when it is judged that the running state of the target wind turbine is abnormal, and obtain a corresponding fault type judgment result based on cached running state information; a scheme matching unit configured to execute corresponding control scheme matching based on the judgment result of the fault type; and an executing unit configured to execute target wind turbine control based on the matched control scheme.

[0016] In another aspect, the present application provides a computer readable storage medium, which stores instructions that, when executed on a computer, cause the computer to execute the wind turbine fault diagnosis and treatment method described above.

[0017] Through the technical solution, the operation state information of the wind turbine generator set is collected, the operation state of the set is judged in real time based on the information, when the set has an abnormality, the fault type is judged, and the accurate fault type judgment result is obtained based on the buffered operation state data. According to the fault type, the appropriate control scheme is matched, and the corresponding control measure is executed. This method can effectively improve the accuracy and timeliness of fault diagnosis, realize intelligent control of the wind turbine generator set, reduce human misjudgment and downtime, and improve the overall operation efficiency and power generation of the wind turbine.

[0018] Other features and advantages of the present application will be described in detail in the following detailed description. BRIEF DESCRIPTION OF DRAWINGS

[0019] The accompanying drawings are included to provide a further understanding of the present application and are incorporated in and constitute a part of this specification, illustrate embodiments of the present application and serve to explain the principles of the present application, but are not intended to limit the present application. In the drawings:

[0020] Figure 1 is a step flow chart of a wind turbine generator set fault diagnosis and treatment method provided by an embodiment of the present application;

[0021] Figure 2 is a control flow chart of a wind turbine generator set fault diagnosis and treatment method provided by an embodiment of the present application;

[0022] Figure 3 is a system structure of a wind turbine generator set fault diagnosis and treatment system provided by an embodiment of the present application. DETAILED DESCRIPTION

[0023] The specific embodiments of the present application will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only used to illustrate and explain the present application, and are not intended to limit the present application.

[0024] Figure 1 is a method flow chart of a wind turbine generator set fault diagnosis and treatment method provided by an embodiment of the present application. As shown in Figure 1 The present application provides a wind turbine generator set fault diagnosis and treatment method, which comprises the following steps:

[0025] Step S10: Collecting the operation state information of the target wind turbine generator set, and executing corresponding wind turbine generator set operation state judgment based on the operation state information.

[0026] Specifically, the executing the corresponding wind turbine operating state judgment based on the operating state information includes: executing data preprocessing on the operating state information, and executing data classification processing on the operating state after the data preprocessing to obtain signal data sets of each abnormal judgment condition; judging whether there is signal data deviating from the corresponding preset data interval based on the abnormal data set of each abnormal judgment condition and the preset data interval of the corresponding abnormal judgment condition; if there is any signal data deviating from the corresponding preset data interval, it is determined that the operating state of the target wind turbine is abnormal; otherwise, if the abnormal data set of all abnormal judgment conditions is in the preset data interval of the corresponding abnormal judgment condition, it is determined that the operating state of the target wind turbine is normal.

[0027] In the embodiments of the present application, before judging the operating state information, the information needs to be preprocessed. Data preprocessing is an important step to ensure the consistency and accuracy of the original data before analysis, and the purpose is to remove noise and irrelevant data, and avoid false judgments due to abnormal values or inaccurate data. Data preprocessing usually includes data cleaning, interpolation processing and normalization, etc. to improve the quality of data and lay a foundation for subsequent fault judgment.

[0028] Further, after completing the data preprocessing, the processed data is classified and processed to obtain signal data sets related to each abnormal judgment condition. These conditions include external wind speed, wind direction, temperature and other key parameters. By classifying and processing these data, independent data sets under each abnormal judgment condition can be obtained, so that subsequent analysis can be more targeted to focus on abnormal changes under specific conditions. For example, external wind speed and wind direction are two important factors affecting the operation of wind turbines. By analyzing these two parameters independently, it can be effectively judged whether the wind turbine is affected by environmental factors, so as to decide whether to adjust the operating state or take further measures.

[0029] Further, after the data classification processing is completed, whether there is signal data deviating from the corresponding preset data interval is judged based on the abnormal data set of each abnormal judgment condition and the preset data interval of the corresponding abnormal judgment condition. The preset data interval is usually a normal range set based on historical operating data and the design specifications of the wind turbine. For example, the normal range of external wind speed may be set based on the design specifications of the wind turbine. If the actual wind speed data deviates from the normal range, the wind turbine may not be able to operate normally. Similarly, if the temperature data exceeds the set safety range, it may mean that there is an overheating problem in a component of the unit, which needs to be shut down for inspection immediately.

[0030] Further, in making these judgments, all abnormal judgment conditions are checked one by one, and whether each data set deviates from the corresponding preset data interval is evaluated. If there is any signal data deviating from the preset data interval, it is immediately determined that the operating state of the target wind turbine generator set is abnormal, at which time the corresponding fault handling process will be triggered, including alarm, shutdown or other corresponding control operations. Conversely, if all abnormal data sets of the abnormal judgment conditions are within the preset data interval of the corresponding abnormal judgment condition, it is determined that the operating state of the target wind turbine generator set is normal operation, and the current operating state is continued.

[0031] Based on the scheme of the present application, through multi-level data processing and analysis of the operating state information, the abnormal situation in operation can be accurately identified, and blind shutdown or reset operation is avoided. The steps of data preprocessing and classification processing ensure the quality of the input data, and the comparison and analysis based on the preset interval can accurately judge the specific operating conditions. Finally, through the matching of appropriate control scheme, the wind turbine generator set can quickly take appropriate measures when a fault occurs, thereby improving the stability, reducing the downtime, and improving the power generation efficiency and economic benefit.

[0032] Step S20: When it is determined that the operating state of the target wind turbine generator set is abnormal, triggering the fault type judgment, obtaining the corresponding fault type judgment result based on the buffered operating state information.

[0033] Preferably, after determining that the operating state of the target wind turbine generator set is abnormal, the method further comprises: performing fault predetermination based on the abnormal operating state information, the predetermination rule being: taking the abnormal judgment condition corresponding to the signal data deviating from the corresponding preset data interval as the fault reference condition; performing fault type coupling matching based on each fault reference condition, and taking the matched fault type as the first fault.

[0034] In the embodiment of the present application, the predetermination rule is to take the abnormal judgment condition corresponding to the signal data deviating from the corresponding preset data interval as the fault reference condition, which means that each detected signal data deviating from the normal range will be recorded and used for further fault judgment. Based on these fault reference conditions, the coupling matching process of the fault type is performed, that is, each fault reference condition is comprehensively analyzed to determine the possible fault type.

[0035] The fault type coupling matching can comprehensively consider the information of multiple abnormal conditions to identify the root fault that is most likely to cause the current abnormal state. This process helps to eliminate false alarms caused by single sensor abnormalities and ensures that the identified fault type is the real first fault of the wind turbine generator set. For example, when the external wind speed and wind direction deviate from the normal range at the same time, it is determined whether it is a temporary abnormality caused by changes in environmental wind conditions or a hardware fault of the unit itself. Through the coupling matching of multiple conditions, the first fault can be more accurately identified and corresponding control measures can be taken.

[0036] Based on the scheme of the application, the wind turbine generator set can quickly determine the first fault type when an abnormality occurs, reducing the possibility of human error and improving the accuracy of fault judgment. This technical effect greatly improves the operational safety and reliability of the wind turbine generator set, ensuring timely and accurate response when a fault occurs, thereby minimizing downtime and improving the overall power generation efficiency and economic benefits of the wind farm.

[0037] Specifically, when the running state of the target wind turbine generator set is determined to be abnormal, the fault type judgment is triggered, and the corresponding fault type judgment result is obtained based on the first fault and the cached running state information, including: in response to the fault type judgment trigger signal, performing fault predetermination based on the running state information with abnormality; based on the fault predetermination result, performing corresponding running state information caching; performing first fault identification based on the cached running state information, and performing fault type judgment based on the first fault identification result and the cached running state information to obtain the corresponding fault type judgment result.

[0038] Further, the running state information caching based on the fault predetermination result includes: determining the caching requirement information of the running state information based on the fault predetermination result; wherein the caching requirement information includes any one or more of data volume, data point, collection period and collection time length; based on the caching requirement information, performing the running state information caching corresponding to the fault predetermination result.

[0039] Further, the first fault identification based on the cached running state information includes: taking the fault predetermination result as the initial first fault; determining whether the cached running state information is consistent with the development trend of the running state information of the initial first fault; if it is determined that the cached running state information is consistent with the development trend of the running state information of the initial first fault, the initial first fault is taken as the identified first fault; if it is determined that the cached running state information is not consistent with the development trend of the running state information of the initial first fault, a first fault identification error signal is output.

[0040] Specifically, the fault type judgment is performed based on the first-failure identification result and the cached operation state information, and a corresponding fault type judgment result is obtained, including: if the first-failure identification result is to take the initial first-failure as the identified first-failure, then perform fault type matching based on the first-failure; wherein the fault type is a resettable fault type or a non-resettable fault type; the resettable fault type includes a limited condition reset type and a non-limited condition reset type.

[0041] In the embodiment of the application, in response to the fault type judgment trigger signal, fault predetermination is performed based on the operation state information with abnormalities. Fault predetermination is a preliminary analysis of the current abnormal state to provide a basis for subsequent fault type judgment. Based on the result of fault predetermination, corresponding operation state information caching is performed, which is crucial to ensure the accuracy of subsequent fault analysis.

[0042] Specifically, based on the fault predetermination result, the caching requirement information of the operation state information needs to be determined. The caching requirement information includes any one or more of the data volume, data point, collection period and collection time length. This means that according to different fault types and their characteristics, the data range and details that need to be cached are dynamically adjusted. For example, for some abnormal conditions, it may be necessary to cache operation data in a longer time period in order to analyze the evolution process of the fault; while for some other faults, only high-frequency data collection in a short time period is needed to draw a conclusion. Based on the caching requirement information, the operation state information corresponding to the fault predetermination result is cached to ensure that the cached data can meet the needs of subsequent first-failure identification and fault type judgment.

[0043] In one possible implementation, the circuit breaker tripping fault needs to analyze data such as circuit breaker auxiliary contact state and PLC output signal, and the generator winding temperature high fault needs to analyze data such as three-phase winding temperature and environmental temperature. Some faults need to analyze data with a millisecond period, some faults only need to analyze data with a second period, some faults need to analyze 1 min of data before the fault, and some faults need to analyze 5 min of data before the fault. The requirements for data transmission need to be preset in advance according to the fault name.

[0044] Further, the first fault identification is performed based on the buffered running state information. In this process, the fault predetermination result is first taken as the initial first fault, and then it is determined whether the buffered running state information is consistent with the development trend of the running state information of the initial first fault. If it is determined that the buffered running state information is consistent with the development trend of the running state information of the initial first fault, the initial first fault is taken as the identified first fault, which means that the preliminary analysis is consistent with the actual data trend, and the correctness of the first fault is confirmed. Otherwise, if the buffered running state information is not consistent with the development trend of the running state information of the initial first fault, an error signal of the first fault identification is output, which indicates that there is an error in the preliminary judgment, and further analysis and confirmation are needed.

[0045] Further, after the identification of the first fault is completed, the fault type judgment is performed based on the first fault identification result and the buffered running state information to obtain the corresponding fault type judgment result. If the first fault identification result is that the initial first fault is taken as the identified first fault, the fault type matching is performed based on the first fault. In this process, according to the characteristics of the first fault, it is determined whether the fault type is a resettable fault type or a non-resettable fault type. For the resettable fault type, it is further distinguished into a limited condition reset type and a non-limited condition reset type.

[0046] The limited condition reset type in the resettable fault type refers to the need to run under a preset condition after reset, and the preset condition is often an abnormal running state. The non-limited condition reset type refers to the fault that can be reset without special condition limitation, and can normally run after reset. This type of fault usually has a small impact and does not have a significant impact on the safety and running stability of the wind turbine generator set.

[0047] The non-resettable fault type refers to the fault that needs to be checked and repaired by the operation and maintenance personnel on site, and this type of fault often involves hardware damage or safety hazards, and must be handled through manual intervention. After the fault type is judged to be a non-resettable fault, the information is fed back to the central control room through the man-machine interaction unit to prompt the operation and maintenance personnel to carry out on-site troubleshooting and repair. The present application can realize the rapid and accurate judgment of the fault of the wind turbine generator set, and take corresponding control measures according to the fault type. Through the multiple links of fault predetermination, running state information buffering, first fault identification and fault type judgment, the efficiency and accuracy of the fault diagnosis process are ensured.

[0048] Based on the scheme, the combination of fault predetermination and operation state information caching enables rapid collection of required key information after a fault occurs, providing reliable data support for subsequent first-fault identification. Secondly, the process of first-fault identification ensures the accuracy of first-fault identification by comparing the actual development trend of data with the initial judgment, avoiding incorrect handling due to misjudgment. In addition, the fault type judgment classifies the faults into resettable and non-resettable types, enabling different measures to be taken according to the severity and characteristics of the fault, thereby reducing unnecessary downtime and improving overall operation efficiency.

[0049] Step S30: Based on the determination result of the fault type, a corresponding control scheme is matched.

[0050] Specifically, if the first-fault identification result is first-fault identification error or the fault type is non-resettable fault type, the corresponding control scheme is shutdown scheme; if the fault type is resettable fault type in non-limit condition reset type, automatic reset is performed or reset prompt information is pushed to the supervision end based on whether the automatic reset permission is opened; if the fault type is resettable type in limited condition reset type, automatic reset is performed or reset prompt information is pushed to the supervision end based on whether the automatic reset permission is opened, and the target wind turbine is controlled to operate based on the corresponding limit condition after reset; wherein the limit condition includes any one or more of limited power operation, limited pitch angle operation and limited time operation.

[0051] In the embodiment of the application, if the first-fault identification result is first-fault identification error or the fault type is determined as non-resettable fault type, the corresponding control scheme is shutdown scheme. This means that the operation of the target wind turbine will be immediately stopped to prevent the fault from further expanding and to ensure the safety of equipment and personnel. This kind of shutdown scheme is usually used in cases involving hardware damage, major safety hazards, etc., and after shutdown, maintenance personnel need to go to the scene for detailed troubleshooting and maintenance.

[0052] Further, if the fault type is determined as resettable fault type in non-limit condition reset type, automatic reset is performed or reset prompt information is pushed to the supervision end based on whether the automatic reset permission is opened. When the automatic reset permission is opened, the reset operation of the fault can be completed automatically, so that the wind turbine can resume normal operation as soon as possible, thereby reducing downtime and improving power generation efficiency. If the automatic reset permission is not opened, reset prompt information is pushed to the supervision end for manual confirmation and operation by maintenance personnel. This way effectively avoids the risks that may be caused by automatic operation without authorization, while ensuring the transparency and controllability of the operation.

[0053] For the limit condition reset type in the resettable fault type, corresponding operations are also performed based on whether the automatic reset permission is opened when matching the control scheme. If the automatic reset permission is opened, the operation of the target wind turbine is controlled according to the corresponding limit condition after reset, to ensure that the unit is in a safe and controlled state after reset. The limit conditions include, but are not limited to, any one or more of the limit power operation, the limit pitch angle operation and the limit time operation. For example, in the limit power operation condition, the power generation of the unit is controlled within a certain range to prevent the unit from failing again due to excessive load. In the limit pitch angle operation condition, the angle change of the blade is limited to reduce the stress load of the unit under high wind speed conditions. In the limit time operation condition, the unit is only allowed to operate within a certain time period to reduce the risk and ensure the safety of the equipment.

[0054] Through this control scheme matching method, the most appropriate processing method can be selected under different fault conditions. For example, for some light faults that do not have a serious impact on the unit, the operation state of the unit can be quickly restored through automatic reset. For fault types that have potential safety hazards or hardware damage, shutdown processing is adopted to wait for the on-site maintenance of the operation and maintenance personnel.

[0055] Based on the scheme of the present application, the response speed of the wind turbine after a fault occurs is improved, so that different measures can be taken according to the severity and characteristics of the fault to minimize downtime and power generation loss. Secondly, through reasonable control of the automatic reset permission, the safety and controllability of the operation are ensured while improving the degree of automation, avoiding secondary faults that may be caused by blind reset. In addition, the control measures for the limit condition reset can finely control the unit after it resumes operation, ensure that the unit operates under controlled conditions, and reduce the risk of re-failure.

[0056] Step S40: Perform target wind turbine control based on the matched control scheme.

[0057] Preferably, the target wind turbine control is performed based on the matched control scheme. In order to further ensure the stability and safety of the wind turbine after reset, the present application preferably sets an observation period after the target wind turbine control is completed. During the observation period, the operating state of the wind turbine is continuously monitored, and if any fault occurs again during this period, a shutdown operation will be triggered immediately and the operation and maintenance personnel will be prompted to go to the site for troubleshooting. This mechanism aims to ensure that any potential problems in the initial stage after reset can be discovered and handled in time, avoiding more serious consequences due to the existence of hidden faults.

[0058] If no fault is reported during the observation period, it is considered that the unit state after reset is stable, and the normal operation can continue. However, if the fault is reported again after the unit resumes operation, the fault diagnosis process is restarted to determine the new fault cause. This operation monitoring mechanism based on the observation period helps to discover and handle the hidden problems of the unit in time, further improving the operation reliability.

[0059] For example, when the generator reports a high winding temperature fault, the data processing unit will analyze the temperature data of the three-phase winding of the generator in detail. If it is detected that the A-phase winding temperature data is abnormal, but the B-phase and C-phase winding temperatures are normal, and other operation data are also normal, it can be comprehensively judged that the temperature sensor of the A-phase winding may fail. In this case, the fault does not directly affect the safe operation of the unit, so a resettable instruction can be issued to make the unit resume normal operation. At the same time, the operator is prompted to replace the sensor at an appropriate time to avoid future problems.

[0060] After the reset operation is completed, an observation period is entered. During the observation period, special attention is paid to the change of data related to the fault to verify the correctness of the preliminary judgment. If no similar fault occurs during this period, the normal operation state of the unit is continued, but the detailed information of the fault is recorded for future analysis and improvement. If the fault occurs again during the observation period, the unit is immediately stopped, the operator is prompted to further check, and appropriate handling measures are taken according to the specific fault condition.

[0061] Based on the scheme of the present application, the operation safety of the wind turbine after fault reset is improved, which ensures that possible hidden troubles can be discovered in time during the initial stage after fault reset, and small problems are avoided from evolving into major faults. Secondly, through continuous monitoring during the observation period, signs of fault recurrence can be identified in the shortest time, and shutdown measures are taken quickly to reduce power generation loss caused by equipment failure. In addition, this scheme can also accumulate fault data to provide valuable reference for future fault diagnosis and improvement of control strategy.

[0062] In one possible implementation, as Figure 2, provide a kind of control flow of wind generating set fault diagnosis and treatment method, flow from the fault shutdown of unit, when the unit stops, first feedback to the central control room with the first fault information, issue fault diagnosis instruction at the same time, fault information is analyzed in depth by data processing unit.Judging whether the first fault information is consistent with the acquisition data follows.If consistent, diagnostic results will be fed back to the central control room, ensure the accuracy of information.Then, further check whether the unit can reset.If the unit can reset, issue reset command, try to let the unit resume operation.After the unit resumes normal operation, enter observation period, monitor the operating state of unit, to ensure that fault does not occur again.If no new fault is reported in observation period, the unit continues normal operation;If fault is reported again in observation period, it is judged that reset operation fails, and further manual intervention is required for processing.

[0063] Further, if it is found that the first fault does not match the actual data in the initial judgment process, or the diagnostic result indicates that the unit has a major fault that cannot be reset, continue to stop, and send a maintenance request to the operation and maintenance personnel through the central control, requiring on-site troubleshooting and maintenance processing.For some fault types that cannot be reset, automatic reset operation cannot be completed, and on-site technical personnel must be involved to ensure the safety and operation stability of the unit.

[0064] Figure 3 It is the system structure diagram of wind generating set fault diagnosis and treatment system provided by an embodiment of the application.As shown in Figure 3 The embodiment of the application provides a wind generating set fault diagnosis and treatment system, which comprises: a collection unit, which is used to collect the operating state information of a target wind generating set, and execute corresponding wind generating set operating state judgment based on the operating state information;A type judgment unit is used to trigger fault type judgment when it is determined that the operating state of the target wind generating set is abnormal, and obtain corresponding fault type judgment result based on the buffered operating state information;A scheme matching unit is used to execute corresponding control scheme matching based on the judgment result of fault type;An execution unit is used to execute target wind generating set control based on the matched control scheme.

[0065] The embodiment of the application further provides a computer readable storage medium, which stores instructions, and when the instructions are run on a computer, the computer executes the above-mentioned wind generating set fault diagnosis and treatment method.

[0066] Those skilled in the art can understand that all or part of the steps of the method for implementing the above-mentioned embodiments can be completed by programs instructing relevant hardware, the programs are stored in a storage medium, and the programs include a plurality of instructions for enabling a single-chip microcomputer, a chip or a processor to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various storage media capable of storing program codes.

[0067] The optional embodiments of the present application are described in detail above in combination with the drawings, but the embodiments of the present application are not limited to the specific details in the above-described embodiments. Within the technical concept scope of the embodiments of the present application, various simple modifications can be made to the technical solutions of the embodiments of the present application, and these simple modifications all belong to the protection scope of the embodiments of the present application. In addition, it should be noted that each specific technical feature described in the above-described specific embodiments can be combined in any appropriate manner without contradiction. In order to avoid unnecessary repetition, the embodiments of the present application will not be described again for various possible combinations.

[0068] In addition, various different embodiments of the present application can also be combined in any manner, as long as it does not deviate from the idea of the embodiments of the present application, and it should also be considered as disclosed by the embodiments of the present application.

Claims

1. A wind turbine generator fault diagnosis and treatment method, characterized in that: The method comprises: Collecting operating status information of a target wind turbine generator set, and performing operating status judgment of a corresponding wind turbine generator set based on the operating status information; When the operating state of the target wind turbine generator set is determined to be abnormal, a fault type judgment is triggered, and a corresponding fault type judgment result is obtained based on the first fault and the cached operating state information, including: In response to a fault type determination trigger signal, a fault pre-determination is performed based on abnormal operating status information; based on the fault pre-determination result, corresponding operating status information is cached; first-out fault identification is performed based on the cached operating status information, and a fault type determination is performed based on the first-out fault identification result and the cached operating status information to obtain a corresponding fault type determination result; The first-out fault identification is performed based on the cached operating status information, including: taking the fault pre-determination result as the initial first-out fault; judging whether the cached operating status information is consistent with the development trend of the operating status information of the initial first-out fault; if it is determined that the cached operating status information is consistent with the development trend of the operating status information of the initial first-out fault, taking the initial first-out fault as the identified first-out fault; if it is determined that the cached operating status information is inconsistent with the development trend of the operating status information of the initial first-out fault, outputting a first-out fault identification error signal; Performing fault type determination based on the first fault identification result and the cached operating status information to obtain a corresponding fault type determination result, including: if the first fault identification result is to use the initial first fault as the identified first fault, then performing fault type matching based on the first fault; wherein the fault type is a resettable fault type or a non-resettable fault type; the resettable fault type includes a restricted condition reset type and a non-resettable condition reset type; Based on the determination result of the fault type, the corresponding control scheme matching is executed, including: if the first fault identification result is a first fault identification error, or the fault type is a non-resettable fault type, the corresponding control scheme is a shutdown scheme; if the fault type is a non-restrictive reset type among the resettable fault types, automatic reset is executed or a reset prompt message is pushed to the supervisory end based on whether the automatic reset authority is open; if the fault type is a restricted reset type among the resettable types, automatic reset is executed or a reset prompt message is pushed to the supervisory end based on whether the automatic reset authority is open, and after the reset is completed, the target wind turbine is controlled to operate based on the corresponding restriction conditions; wherein, the restriction conditions include: any one or more of power-limited operation, pitch-angle-limited operation and time-limited operation; Target wind turbine control is performed based on the matched control scheme.

2. The method according to claim 1, characterized in that The step of determining the operating status of the corresponding wind turbine generator set based on the operating status information includes: Perform data preprocessing on the operating status information, and perform data classification processing on the operating status after the data preprocessing to obtain a signal data set for each abnormal judgment condition; Based on the abnormal data set of each abnormal judgment condition and the preset data interval corresponding to the abnormal judgment condition, determining whether there is signal data that deviates from the corresponding preset data interval; If there is any signal data that deviates from the corresponding preset data interval, it is determined that the operating state of the target wind turbine generator set is abnormal; On the contrary, if the abnormal data sets of all abnormal judgment conditions are within the preset data interval corresponding to the abnormal judgment condition, it is determined that the operating state of the target wind turbine generator set is normal operation.

3. The method according to claim 2, characterized in that After determining that the target wind turbine generator set has an abnormal operating state, the method further includes: Fault pre-determination is performed based on abnormal operating status information. The pre-determination rules are as follows: The abnormal judgment condition corresponding to the signal data deviating from the corresponding preset data interval is used as the fault reference condition; Fault type coupling matching is performed based on each fault reference condition, and the matched fault type is taken as the first fault.

4. The method according to claim 1, wherein The step of executing corresponding operation status information caching based on the fault pre-determination result includes: Based on the fault pre-determination result, the cache requirement information of the running status information is determined; wherein, The cache requirement information includes: Any one or more of data volume, data points, collection period, and collection duration; Based on the cache requirement information, the running status information corresponding to the fault pre-determination result is cached.

5. A wind turbine generator fault diagnosis and treatment system, characterized in that: The system is implemented based on the wind turbine generator set fault diagnosis and treatment method according to any one of claims 1 to 4, and the system includes: A collection unit, configured to collect operating status information of a target wind turbine generator set and perform operating status determination of the corresponding wind turbine generator set based on the operating status information; A type judgment unit is used to trigger fault type judgment when it is determined that the operating state of the target wind turbine generator set is abnormal, and obtain a corresponding fault type judgment result based on the cached operating state information; A scheme matching unit is used to perform corresponding control scheme matching based on the fault type determination result; The execution unit is used to execute the target wind turbine generator set control based on the matched control scheme.

6. A computer-readable storage medium, characterized in that The computer-readable storage medium stores instructions, which, when executed on a computer, enable the computer to execute the wind turbine generator set fault diagnosis and treatment method according to any one of claims 1 to 4.

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