Fault diagnosis and treatment method and system for wind generating set

Abstract

The embodiment of the invention provides a fault diagnosis and treatment method and system for a wind generating set, and belongs to the technical field of wind power. The method comprises the steps that running state information of a target wind generating set is collected, and running state judgment of the corresponding wind generating set is executed based on the running state information; when it is judged that the operation state of the target wind generating set is abnormal, fault type judgment is triggered, and a corresponding fault type judgment result is obtained based on cached operation state information; executing corresponding control scheme matching based on the judgment result of the fault type; and controlling the target wind generating set based on the matched control scheme. According to the scheme, the accuracy and timeliness of fault diagnosis can be effectively improved, intelligent control over the wind generating set is achieved, man-made misjudgment and downtime are reduced, and the overall operation efficiency and generating capacity of a fan are improved.

Description

Technical Field

[0001] The present invention relates to the field of wind power technology, and in particular to a wind turbine generator set fault diagnosis and treatment method and a wind turbine generator set fault diagnosis and treatment system. Background Art

[0002] In the actual operation of wind turbines, various faults often occur due to equipment aging, environmental factors or component damage. At present, the fault handling method for wind turbines is usually to sort out and classify the faults to determine the list of non-resettable faults. When a fault occurs, the operation and 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 when the unit involves multiple disciplines and different components, the types of faults are complex and diverse. Faced with this situation, the operation and maintenance personnel need to check each item one by one after the fault occurs, which is easy to cause omissions or misjudgments. In addition, judging whether the unit can be reset based solely on the fault name often lacks basis, which can easily lead to blind operation and may bring further safety risks. The operating conditions of wind turbines are complex, and the traditional judgment method based on preset lists lacks real-time analysis and feedback on the operating status of the unit. Since different faults may have different processing requirements under different operating conditions, if flexible adjustments are not made without considering the actual operating status, the unit may be shut down frequently under unnecessary circumstances, reducing power generation efficiency and affecting economic benefits.

[0004] In addition, when a fault occurs, maintenance personnel usually need to go to the site for manual inspection, which may consume a lot of time and human resources, especially when the wind turbine is far from the central control room, resulting in long downtime and affecting the overall power generation efficiency and revenue of the wind farm. If the fault is only handled through alarm prompts, potential faults are easily ignored, and minor faults cannot be solved in time, thus gradually evolving into more serious problems.

[0005] Therefore, the existing fault diagnosis and processing methods have the problems of low automation, lack of real-time fault analysis and low processing efficiency, and a more intelligent solution is urgently needed. Summary of the invention The purpose of the embodiments of the present invention is to provide a wind turbine generator set fault diagnosis and treatment method and system to at least solve the problems of low automation, lack of real-time fault analysis and low processing efficiency in existing fault diagnosis and treatment methods.

[0006] In order to achieve the above-mentioned purpose, the first aspect of the present invention provides a wind turbine generator set fault diagnosis and treatment method, the method comprising: collecting operating status information of the target wind turbine generator set, and performing corresponding wind turbine generator set operating status judgment based on the operating status information; when it is determined that the operating status of the target wind turbine generator set is abnormal, triggering fault type judgment, and obtaining the corresponding fault type judgment result based on the cached operating status information; based on the fault type judgment result, performing corresponding control scheme matching; and executing target wind turbine generator set control based on the matched control scheme.

[0007] Optionally, the performing of operating status judgment of the corresponding wind turbine generator set based on the operating status information includes: performing data preprocessing on the operating status information, and performing 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 of the corresponding abnormal judgment condition, judging 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 judged that there is an abnormality in the operating status of the target wind turbine generator set; conversely, if the abnormal data sets of all abnormal judgment conditions are within the preset data interval of the corresponding abnormal judgment condition, it is judged that the operating status of the target wind turbine generator set is normal operation.

[0008] Optionally, after determining that there is an abnormality in the operating state of the target wind turbine generator set, the method further includes: performing fault pre-determination based on the operating state information with the abnormality, and the pre-determination rule is: using the abnormal judgment condition corresponding to the signal data that deviates from the corresponding preset data interval as the fault reference condition; performing fault type coupling matching based on each fault reference condition, and using the matched fault type as the first fault.

[0009] Optionally, when it is determined that the operating status of the target wind turbine generator set is 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 status information, including: in response to a fault type judgment trigger signal, fault pre-determination is performed based on the abnormal operating status information; based on the fault pre-determination result, corresponding operating status information caching is performed; first fault identification is performed based on the cached operating status information, and fault type judgment is performed based on the first fault identification result and the cached operating status information to obtain a corresponding fault type judgment result.

[0010] Optionally, the executing corresponding running status information caching based on the fault prediction result includes: determining the caching requirement information of the running status information based on the fault prediction result; wherein the caching requirement information includes: any one or more of data volume, data point position, collection cycle and collection duration; executing the running status information caching corresponding to the fault prediction result based on the caching requirement information.

[0011] Optionally, 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, then 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, then outputting a first-out fault identification error signal.

[0012] Optionally, the fault type judgment is performed based on the first-out fault identification result and the cached operating status information to obtain a corresponding fault type judgment result, including: if the first-out fault identification result is to take the initial first-out fault as the identified first-out fault, then a fault type match is performed based on the first-out fault; wherein the fault type is a resettable fault type or a non-resettable fault type; the resettable fault type includes a restriction condition reset type and a non-restriction condition reset type.

[0013] Optionally, the determination result based on the fault type executes the corresponding control scheme matching, including: if the first fault identification result is a first fault identification error, or the fault type is a non-resettable fault type, then the corresponding control scheme is a shutdown scheme; if the fault type is a non-restrictive reset type among the resettable fault types, then based on whether the automatic reset authority is open, automatic reset is performed or reset prompt information is pushed to the supervision end; if the fault type is a restricted reset type among the resettable types, then based on whether the automatic reset authority is open, automatic reset is performed or reset prompt information is pushed to the supervision end, and after the reset is completed, the operation of the target wind turbine is controlled based on the corresponding restrictive conditions; wherein the restrictive conditions include: any one or more of limited power operation, limited pitch angle operation and limited time operation.

[0014] A second aspect of the present invention provides a wind turbine generator set fault diagnosis and treatment system, the system comprising: a collection unit, used to collect operating status information of a target wind turbine generator set, and perform corresponding wind turbine generator set operating status judgment based on the operating status information; a type judgment unit, used to trigger a fault type judgment when it is determined that the operating status of the target wind turbine generator set is abnormal, and obtain a corresponding fault type judgment result based on the cached operating status information; a scheme matching unit, used to perform corresponding control scheme matching based on the fault type judgment result; and an execution unit, used to execute target wind turbine generator set control based on the matched control scheme.

[0015] On the other hand, the present invention provides a computer-readable storage medium, on which instructions are stored, which, when executed on a computer, enable the computer to execute the above-mentioned wind turbine generator set fault diagnosis and treatment method.

[0016] Through the above technical solution, the solution of the present invention collects the operating status information of the wind turbine generator set and judges the operating status of the unit in real time based on this information. When it is determined that the unit is abnormal, the fault type judgment is triggered, and an accurate fault type judgment result is obtained based on the cached operating status data. The appropriate control scheme is matched according to the fault type, and then the corresponding control measures are executed. This method can effectively improve the accuracy and timeliness of fault diagnosis, realize intelligent control of wind turbine generator sets, reduce human misjudgment and downtime, and improve the overall operating efficiency and power generation of the wind turbine.

[0017] Other features and advantages of the embodiments of the present invention will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the embodiments of the present invention, but do not constitute a limitation on the embodiments of the present invention. In the accompanying drawings: Figure 1 It is a flow chart of steps of a method for diagnosing and treating a fault of a wind turbine generator set provided by one embodiment of the present invention; Figure 2 It is a control flow chart of a wind turbine generator set fault diagnosis and treatment method provided by one embodiment of the present invention; Figure 3 The present invention provides a system structure of a wind turbine generator set fault diagnosis and treatment system in accordance with an embodiment of the present invention. DETAILED DESCRIPTION

[0019] The specific implementation of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the present invention, and is not used to limit the present invention.

[0020] Figure 1 FIG. 1 is a flow chart of a method for diagnosing and treating a fault of a wind turbine generator set provided by an embodiment of the present invention. Figure 1 As shown, an embodiment of the present invention provides a wind turbine generator set fault diagnosis and treatment method, the method comprising: Step S10: collecting the operating status information of the target wind turbine generator set, and performing operating status judgment of the corresponding wind turbine generator set based on the operating status information.

[0021] Specifically, the performing of operating status judgment of the corresponding wind turbine generator set based on the operating status information includes: performing data preprocessing on the operating status information, and performing 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 of the corresponding abnormal judgment condition, judging 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 judged that the operating status of the target wind turbine generator set is abnormal; conversely, if the abnormal data sets of all abnormal judgment conditions are in the preset data interval of the corresponding abnormal judgment condition, it is judged that the operating status of the target wind turbine generator set is normal operation.

[0022] In the embodiment of the present invention, before judging the operating status information, it is necessary to perform data preprocessing on the information. Data preprocessing is an important step to ensure the consistency and accuracy of the original data before analysis, and its purpose is to remove noise and irrelevant data and avoid erroneous judgments due to abnormal values ​​or inaccurate data. Data preprocessing usually includes operations such as data cleaning, interpolation processing and normalization to improve the quality of the data and lay the foundation for subsequent fault judgment.

[0023] Furthermore, after completing the data preprocessing, the processed data is classified to obtain signal data sets related to each abnormal judgment condition. These conditions include key parameters such as external wind speed, wind direction, and temperature. By classifying these data, independent data sets under each abnormal judgment condition can be obtained, so that subsequent analysis can focus more specifically on abnormal changes under specific conditions. For example, external wind speed and wind direction are two important factors that affect the operation of wind turbines. Through independent analysis of these two parameters, it is possible to effectively determine whether the wind turbine is affected by environmental factors, thereby determining whether it is necessary to adjust the operating status or take further measures.

[0024] Furthermore, after the data classification process is completed, based on the abnormal data set of each abnormal judgment condition and the preset data interval corresponding to the abnormal judgment condition, it is determined whether there is signal data that deviates from the corresponding preset data interval. 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, it may cause the wind turbine to fail to operate normally. Similarly, if the temperature data exceeds the set safety range, it may mean that a component of the unit has an overheating problem and needs to be shut down for inspection immediately.

[0025] Furthermore, when making these judgments, all abnormal judgment conditions are checked one by one, and each data set is evaluated to see whether it deviates from the corresponding preset data interval. If there is any signal data that deviates from the preset data interval, it is immediately determined that the operating state of the target wind turbine generator set is abnormal, and the corresponding fault handling process will be triggered, including alarm, shutdown or other corresponding control operations. On the contrary, if the abnormal data sets of all abnormal judgment conditions are in the preset data interval corresponding to the abnormal judgment conditions, the operating state of the target wind turbine generator set is determined to be normal operation, and the current operating state is maintained.

[0026] Based on the scheme of the present invention, by performing multi-level data processing and analysis on the operating status information, abnormal conditions in operation can be accurately identified, avoiding blind shutdown or reset operations. The steps of data preprocessing and classification processing ensure the quality of input data, and the comparative analysis based on the preset interval can accurately judge the specific operating conditions. Finally, by matching the appropriate control scheme, the wind turbine generator set can quickly take appropriate countermeasures when a fault occurs, thereby improving stability, reducing downtime, and improving power generation efficiency and economic benefits.

[0027] Step S20: When it is determined that the operating state of the target wind turbine generator set is abnormal, a fault type judgment is triggered, and a corresponding fault type judgment result is obtained based on the cached operating state information.

[0028] Preferably, after determining that there is an abnormality in the operating state of the target wind turbine generator set, the method also includes: performing fault pre-determination based on the operating state information with the abnormality, and the pre-determination rule is: using the abnormal judgment condition corresponding to the signal data that deviates from the corresponding preset data interval as the fault reference condition; performing fault type coupling matching based on each fault reference condition, and using the matched fault type as the first fault.

[0029] In the embodiment of the present invention, the predetermined rule is to use 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, a coupling matching process of the fault type is performed, that is, a comprehensive analysis is performed on each fault reference condition to determine the possible fault type.

[0030] Fault type coupling matching can comprehensively consider the information of multiple abnormal conditions to identify the fundamental 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 a real first-fault fault of the wind turbine. 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 in the unit itself. Through this multi-condition coupling matching, the first-fault fault can be identified more accurately and corresponding control measures can be taken.

[0031] Based on the solution of the present invention, the wind turbine generator set can quickly determine the type of the first fault when an abnormality occurs, reducing the possibility of human misjudgment and improving the accuracy of fault judgment. This technical effect is to greatly improve the operating safety and reliability of the wind turbine generator set, ensuring that it can respond promptly and accurately when a fault occurs, thereby minimizing downtime and improving the overall power generation efficiency and economic benefits of the wind farm.

[0032] Specifically, when it is determined that the operating status of the target wind turbine generator set is 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 status information, including: in response to a fault type judgment trigger signal, a fault pre-determination is performed based on the operating status information with an abnormality; based on the fault pre-determination result, corresponding operating status information caching is performed; based on the cached operating status information, a first fault is identified, and a fault type judgment is performed based on the first fault identification result and the cached operating status information to obtain a corresponding fault type judgment result.

[0033] Furthermore, the executing corresponding running status information caching based on the fault prediction result includes: determining the caching requirement information of the running status information based on the fault prediction result; wherein the caching requirement information includes: any one or more of data volume, data point position, collection cycle and collection duration; based on the caching requirement information, executing the running status information caching corresponding to the fault prediction result.

[0034] Furthermore, 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 judged that the cached operating status information is consistent with the development trend of the operating status information of the initial first-out fault, then taking the initial first-out fault as the identified first-out fault; if it is judged that the cached operating status information is inconsistent with the development trend of the operating status information of the initial first-out fault, then outputting a first-out fault identification error signal.

[0035] Specifically, the fault type judgment is performed based on the first-out fault identification result and the cached operating status information to obtain the corresponding fault type judgment result, including: if the first-out fault identification result is to take the initial first-out fault as the identified first-out fault, then the fault type is matched based on the first-out fault; wherein the fault type is a resettable fault type or a non-resettable fault type; the resettable fault type includes a restriction condition reset type and a non-restriction condition reset type.

[0036] In the embodiment of the present invention, in response to the fault type judgment trigger signal, fault pre-determination is performed based on the abnormal operation status information. Fault pre-determination is a preliminary analysis of the current abnormal state to provide a basis for subsequent fault type judgment. Based on the result of fault pre-determination, the corresponding operation status information cache is performed, which is crucial to ensure the accuracy of subsequent fault analysis.

[0037] Specifically, based on the fault prediction results, it is necessary to determine the cache requirement information of the operating status information. The cache requirement information includes any one or more of the data volume, data point position, collection cycle and collection duration. This means that the range and details of the data that need to be cached are dynamically adjusted according to different fault types and their characteristics. For example, for some abnormal situations, it may be necessary to cache operating data for a longer period of time in order to analyze the evolution of the fault; while for some other faults, only high-frequency data collection in a shorter period of time is required to draw conclusions. Based on the cache requirement information, the operating status information cache corresponding to the fault prediction results is executed to ensure that the cached data can meet the needs of subsequent first-out fault identification and fault type judgment.

[0038] In a possible implementation, the circuit breaker tripping fault requires analysis of data such as the circuit breaker auxiliary contact status and PLC output signal, and the generator winding high temperature fault requires analysis of three-phase winding temperature data and ambient temperature data. Some faults require analysis of data with a millisecond period, some faults only require analysis of data with a second period, some faults require analysis of data 1 minute before the fault, and some faults require analysis of data 5 minutes before the fault. The requirements for data transmission need to be preset in advance according to the fault name.

[0039] Furthermore, first-out fault identification is performed based on the cached operating status information. In this process, the fault pre-determination result is first used as the initial first-out fault, and then it is determined 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, the initial first-out fault is used as the identified first-out fault, which means that the preliminary analysis is consistent with the actual data trend and the correctness of the first-out fault is confirmed; conversely, if the cached operating status information is inconsistent with the development trend of the operating status information of the initial first-out fault, a first-out fault identification error signal is output, which indicates that there is an error in the preliminary judgment and further analysis and confirmation are required.

[0040] Furthermore, after the first fault is identified, a fault type judgment is performed based on the first fault identification result and the cached operating status information to obtain a corresponding fault type judgment result. If the first fault identification result is to use the initial first fault as the first fault identified, a fault type matching is performed based on the first fault. In this process, the fault type is judged to be a resettable fault type or a non-resettable fault type based on the characteristics of the first fault. For the resettable fault type, it is further divided into a restricted condition reset type and a non-reset condition reset type.

[0041] The restricted reset type in the resettable fault type means that after the reset is completed, it is necessary to operate under the preset conditions, and the preset conditions are often abnormal operating conditions. The non-restricted reset type refers to the fault that can be reset without special conditions. It can operate normally after reset. This type of fault usually has a small impact and will not have a significant impact on the safety and operating stability of the wind turbine.

[0042] Non-resettable fault types refer to faults that require operation and maintenance personnel to go to the site for inspection and repair. Such faults often involve hardware damage or potential safety hazards and must be handled through manual intervention. After determining that the fault type is a non-resettable fault, information will be fed back to the central control room through the human-computer interaction unit, prompting the operation and maintenance personnel to conduct on-site inspection and repair. The present invention can achieve rapid and accurate judgment of wind turbine faults and take corresponding control measures according to the fault type. Through multiple links such as fault pre-determination, operating status information caching, first fault identification and fault type judgment, the efficiency and accuracy of the fault diagnosis process are ensured.

[0043] Based on the solution of the present invention, the combination of fault pre-determination and operation status information caching enables the required key information to be quickly collected after a fault occurs, providing reliable data support for subsequent first-out fault identification. Secondly, the first-out fault identification process ensures the accuracy of the first-out fault by comparing the actual development trend of the data with the initial judgment, avoiding erroneous processing due to misjudgment. In addition, the fault type judgment classifies the fault into resettable and non-resettable, so that different countermeasures can be taken according to the severity and characteristics of the fault, thereby reducing unnecessary downtime and improving overall operating efficiency.

[0044] Step S30: Based on the determination result of the fault type, corresponding control scheme matching is performed.

[0045] Specifically, 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, then based on whether the automatic reset authority is open, automatic reset is performed or reset prompt information is pushed to the supervision end; if the fault type is a restricted reset type among the resettable types, then based on whether the automatic reset authority is open, automatic reset is performed or reset prompt information is pushed to the supervision end, and after the reset is completed, the operation of the target wind turbine is controlled based on the corresponding restrictive conditions; wherein the restrictive conditions include: any one or more of limited power operation, limited pitch angle operation and limited time operation.

[0046] In an embodiment of the present invention, if the first fault identification result is a first fault identification error, or the fault type is determined to be a non-resettable fault type, the corresponding control scheme is a shutdown scheme. This means that the operation of the target wind turbine generator set will be stopped immediately to prevent the fault from further expanding and to ensure the safety of equipment and personnel. This type of shutdown scheme is usually used in situations involving hardware damage, major safety hazards, etc. After the shutdown, operation and maintenance personnel need to go to the site for detailed troubleshooting and repair.

[0047] Furthermore, if the fault type is determined to be a non-restricted reset type among the resettable fault types, the decision to perform automatic reset or push reset prompt information to the supervisory end is based on whether the automatic reset authority is open. When the automatic reset authority is open, the fault reset operation can be completed autonomously, 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 authority is not open, the reset prompt information is pushed to the supervisory end, and the operation and maintenance personnel will manually confirm and operate it. This method effectively avoids the risks that may be caused by automatic operation without authorization, while ensuring the transparency and controllability of the operation.

[0048] For the restricted reset type in the resettable fault type, the corresponding operation will be performed based on whether the automatic reset permission is open when matching the control scheme. If the automatic reset permission is open, the operation of the target wind turbine generator set is controlled according to the corresponding restricted conditions after the reset to ensure that the unit is in a safe and controlled state after the reset. The restricted conditions include but are not limited to any one or more of power-limited operation, blade-limited operation, and time-limited operation. For example, under the restricted condition of power-limited operation, the power generation power of the unit is controlled within a specific range to prevent another failure due to excessive load. Under the condition of blade-limited operation, the angle change of the blades is limited to reduce the stress load of the unit under high wind speed conditions. Under the condition of time-limited operation, the unit is required to operate only within a specific time period to reduce risks and ensure the safety of the equipment.

[0049] This control scheme matching method can select the most appropriate handling method in different fault situations. For example, for some minor faults that will not cause serious impact on the unit, the unit's operating status can be quickly restored through automatic reset. For fault types that pose potential safety hazards or hardware damage, the unit will be shut down and wait for on-site maintenance by operation and maintenance personnel.

[0050] Based on the scheme of the present invention, the response speed of the wind turbine after a fault occurs is improved, so that different countermeasures can be taken according to the severity and characteristics of the fault, minimizing downtime and power generation losses. Secondly, through the reasonable control of the automatic reset authority, while improving the degree of automation, the safety and controllability of the operation are ensured, and the secondary faults that may be caused by blind reset are avoided. In addition, for the control measures of the restricted condition reset, it is possible to perform refined control after the unit resumes operation, ensuring that the unit operates under controlled conditions and reducing the risk of recurrence of failure.

[0051] Step S40: executing target wind turbine generator set control based on the matched control scheme.

[0052] Preferably, the target wind turbine generator set control is executed based on the matching control scheme. In order to further ensure the stability and safety of the wind turbine generator set after fault reset, the present invention preferably sets an observation period after the target wind turbine generator set control is executed. During the observation period, the operating status of the wind turbine generator set is continuously monitored. If any fault is reported again during this period, the shutdown operation will be triggered immediately, and the operation and maintenance personnel will be prompted to go to the site for investigation. This mechanism is intended to ensure that any possible potential problems can be discovered and handled in a timely manner in the early stage after reset, avoiding more serious consequences due to the existence of hidden faults.

[0053] If no fault is reported during the observation period, the reset unit is considered stable and can continue to operate normally. However, if a fault is reported again after the unit resumes operation, the fault diagnosis process is restarted to determine the new cause of the fault. This operation monitoring mechanism based on the observation period helps to timely discover and deal with hidden problems of the unit, further improving the operation reliability.

[0054] For example, when the generator reports a high winding temperature fault, the data processing unit will perform a detailed analysis of the temperature data of the three-phase winding of the generator. If the temperature data of the A-phase winding is detected to be abnormal, but the temperatures of the B-phase and C-phase windings are normal, and there are no abnormalities in other operating data, it can be comprehensively judged that the temperature sensor of the A-phase winding may be faulty. In this case, the fault does not directly affect the safe operation of the unit, so a resettable command can be issued to restore the unit to normal operation. At the same time, the operation and maintenance personnel are prompted to replace the sensor at an appropriate time to avoid possible problems in the future.

[0055] After the reset operation is completed, the observation period begins. During the observation period, special attention is paid to the changes in data related to the fault to verify the correctness of the initial judgment. If no similar faults occur during this period, the normal operation of the unit will continue, but the detailed information of the fault will be recorded for future analysis and improvement. If the fault occurs again during the observation period, the unit will be shut down immediately, prompting the operation and maintenance personnel to conduct further inspections and take appropriate treatment measures based on the specific fault situation.

[0056] Based on the scheme of the present invention, the operational safety of the wind turbine generator set after fault reset is improved, ensuring that possible hidden dangers can be discovered in time in the early stage after fault reset, and avoiding small problems from turning into major faults. Secondly, by continuously monitoring during the observation period, signs of fault recurrence can be identified in the shortest time, and shutdown measures can be taken quickly to reduce power generation losses caused by equipment failure. In addition, this scheme can also provide valuable reference for future fault diagnosis and improvement of control strategies by accumulating fault data.

[0057] In a possible implementation, Figure 2, a control process of a fault diagnosis and treatment method for a wind turbine generator set is provided. The process starts with the fault shutdown of the unit. When the unit is shut down, the first fault information is first fed back to the central control room, and a fault diagnosis instruction is issued at the same time. The data processing unit performs in-depth diagnosis and analysis on the fault information. Then, it is determined whether the first fault information is consistent with the collected data. If they are consistent, the diagnosis result will be fed back to the central control room to ensure the accuracy of the information. Then, it is further checked whether the unit can be reset. If the unit can be reset, a reset instruction is issued to try to restore the unit to operation. After the unit resumes normal operation, it enters the observation period to monitor the operating status of the unit to ensure that the fault does not occur again. If no new fault is reported during the observation period, the unit continues to operate normally; if a fault is reported again during the observation period, it is determined that the reset operation has failed and further manual intervention is required for processing.

[0058] Furthermore, if the initial fault is found to be inconsistent with the actual data during the initial judgment process, or the diagnosis results show that the unit has a major fault that cannot be reset, the unit will continue to be shut down, and a maintenance request will be sent to the operation and maintenance personnel through the central control, requiring them to go to the site for fault investigation and maintenance. For some types of faults that cannot be reset, the reset operation cannot be completed automatically, and on-site technicians must intervene to ensure the safety and operational stability of the unit.

[0059] Figure 3 FIG. 1 is a system structure diagram of a wind turbine generator fault diagnosis and treatment system provided by an embodiment of the present invention. Figure 3 As shown, an embodiment of the present invention provides a wind turbine generator set fault diagnosis and treatment system, and the system includes: a collection unit, which is used to collect the operating status information of the target wind turbine generator set, and perform corresponding wind turbine generator set operating status judgment based on the operating status information; a type judgment unit, which is used to trigger fault type judgment when it is determined that the operating status of the target wind turbine generator set is abnormal, and obtain the corresponding fault type judgment result based on the cached operating status information; a scheme matching unit, which is used to perform corresponding control scheme matching based on the fault type judgment result; and an execution unit, which is used to execute target wind turbine generator set control based on the matched control scheme.

[0060] The embodiment of the present invention further provides a computer-readable storage medium, on which instructions are stored, which, when executed on a computer, enable the computer to execute the above-mentioned wind turbine generator set fault diagnosis and treatment method.

[0061] Those skilled in the art will understand that all or part of the steps in the method for implementing the above-mentioned embodiments can be completed by instructing the relevant hardware through a program, and the program is stored in a storage medium, including several instructions for making a single-chip microcomputer, a chip or a processor execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0062] The optional embodiments of the present invention are described in detail above in conjunction with the accompanying drawings. However, the embodiments of the present invention are not limited to the specific details in the above embodiments. Within the technical concept of the embodiments of the present invention, the technical scheme of the embodiments of the present invention can be subjected to a variety of simple modifications, and these simple modifications all belong to the protection scope of the embodiments of the present invention. It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the embodiments of the present invention will not further describe various possible combinations.

[0063] In addition, various embodiments of the present invention may be arbitrarily combined, and as long as they do not violate the concept of the embodiments of the present invention, they should also be regarded as the contents disclosed in the embodiments of the present invention.

Claims

1. A method for diagnosing and treating faults of a wind turbine generator set, characterized in that: The method comprises: Collecting the operating status information of the target wind turbine generator set, and performing operating status judgment of the corresponding wind turbine generator set based on the operating status information; When it is determined that the operating state of the target wind turbine generator set is abnormal, a fault type judgment is triggered, and a corresponding fault type judgment result is obtained based on the cached operating state information; Based on the determination result of the fault type, the corresponding control scheme matching is executed; 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 judging the operating state of the corresponding wind turbine generator set based on the operating state information includes: Performing data preprocessing on the operation status information, and performing data classification processing on the operation 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 deviating 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, and the pre-determination rules are: Taking the abnormal judgment condition corresponding to the signal data deviating from the corresponding preset data interval 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, characterized in that: When it is determined that the operating state of the target wind turbine generator set is 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, performing fault pre-determination based on abnormal operation status information; Based on the fault pre-determination result, execute corresponding operation status information caching; A first fault identification is performed based on the cached operating status information, and a fault type judgment is performed based on the first fault identification result and the cached operating status information to obtain a corresponding fault type judgment result.

5. The method according to claim 4, characterized in that The performing corresponding operation status information caching based on the fault pre-determination result includes: Based on the fault prediction result, determine the cache requirement information of the running status information; wherein, The cache requirement information includes: Any one or more of data volume, data point, collection cycle, and collection duration; Based on the cache requirement information, the running status information corresponding to the fault pre-determination result is cached.

6. The method according to claim 4, characterized in that The first-out fault identification is performed based on the cached operation status information, including: Taking the fault pre-determination result as the initial first-out fault; Determine whether the cached running status information is consistent with the development trend of the initial first-fault running status information; If it is determined that the running status information of the cache is consistent with the development trend of the running status information of the initial first-out fault, the initial first-out fault is taken as the identified first-out fault; If it is determined that the development trend of the cached operating status information is inconsistent with the operating status information of the initial first-out fault, a first-out fault identification error signal is output.

7. The method according to claim 6, characterized in that The performing fault type judgment based on the first fault identification result and the cached operation status information to obtain the corresponding fault type judgment result includes: If the first-out fault identification result is to use the initial first-out fault as the identified first-out fault, then the fault type matching is performed based on the first-out fault; wherein, The fault type is a resettable fault type or a non-resettable fault type; The resettable fault types include limit condition reset types and non-limit condition reset types.

8. The method according to claim 7, characterized in that The performing of matching of corresponding control schemes based on the determination result of the fault type includes: 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-restricted reset type among the resettable fault types, automatic reset is performed or reset prompt information is pushed to the supervisory end based on whether the automatic reset permission is open; If the fault type is a restricted reset type among the resettable types, automatic reset is performed or reset prompt information is pushed to the supervisory end based on whether the automatic reset permission is open, and after the reset is completed, the target wind turbine is controlled to operate based on the corresponding restricted conditions; wherein, The restrictions include: Any one or more of limited power operation, limited propeller angle operation and limited time operation.

9. A wind turbine generator fault diagnosis and treatment system, characterized in that: The system comprises: A collection unit, used to collect the operating status information of the target wind turbine generator set, and perform operating status judgment of the corresponding wind turbine generator set based on the operating status information; A type judgment unit, configured to trigger a fault type judgment when determining 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, used for performing corresponding control scheme matching based on the determination result of the fault type; The execution unit is used to execute the target wind turbine generator set control based on the matched control scheme.

10. 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 8.

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