Abnormality monitoring method for generator winding temperature sensor of wind generating set

Abstract

The invention provides a wind generating set generator winding temperature sensor abnormity monitoring method, and relates to the technical field of wind power generation, and the method comprises the steps: obtaining a plurality of measurement temperatures of a wind generating set generator corresponding to each winding temperature sensor; according to the alternative measurement temperatures of any target winding temperature sensor at the first N moments of any target moment, predicting the predicted temperature of the target winding temperature sensor at the target moment, N being an integer greater than 1; and judging the operation state of the target winding temperature sensor according to the difference value between the target measurement temperature of the target winding temperature sensor corresponding to the multiple measurement temperatures at the target moment and the predicted temperature. Therefore, the winding temperature sensor state judgment introduced by the generator winding temperature prediction method based on the historical measurement temperature accurately recognizes the abnormal winding temperature, the temperature abnormal shutdown frequency caused by temperature abnormal misjudgment is reduced, and the generating capacity loss of a wind generating set is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of wind power generation, and in particular to a method for monitoring abnormality of a temperature sensor of a generator winding of a wind turbine generator set, a device electronic device and a storage medium. Background Art

[0002] Wind turbine generator sets typically measure the temperature of their generator windings at more than a dozen temperature measurement points. Temperature measurements from multiple temperature sensors are used to coordinate and control the generator's cooling system and power control system, improving unit safety. Currently, related technologies primarily rely on direct temperature data from temperature sensors to coordinate and control generator operation. However, during actual operation, the measurement circuit of one of these multiple temperature sensors may malfunction or experience unstable performance, leading to abnormal temperature measurements and inaccurate generator winding temperature measurements. This can cause the wind turbine to operate at reduced power or even shut down due to a fault, resulting in power loss. Summary of the Invention

[0003] The present invention aims to solve one of the technical problems in the related art at least to a certain extent.

[0004] To this end, the first purpose of the present invention is to propose a method for monitoring the abnormality of the generator winding temperature sensor of a wind turbine generator set, and to accurately identify the abnormal winding temperature by introducing a generator winding temperature prediction method based on historical temperature measurements, thereby reducing the frequency of abnormal temperature shutdowns caused by misjudgment of temperature abnormalities and reducing the power generation loss of the wind turbine generator set.

[0005] A second object of the present invention is to provide a device for monitoring abnormality of a temperature sensor of a generator winding of a wind turbine generator set.

[0006] A third object of the present invention is to provide an electronic device.

[0007] A fourth object of the present invention is to provide a non-transitory computer-readable storage medium storing computer instructions.

[0008] To achieve the above-mentioned purpose, a first embodiment of the present invention provides a method for monitoring abnormality of a temperature sensor of a generator winding of a wind turbine generator set, the method comprising:

[0009] Acquire multiple measured temperatures of temperature sensors corresponding to each winding of the wind turbine generator;

[0010] Predicting a predicted temperature of the target winding temperature sensor at a target moment based on the candidate measured temperatures of any target winding temperature sensor at N moments before any target moment, where N is an integer greater than 1;

[0011] The operating state of the target winding temperature sensor is determined according to a difference between a target measured temperature at a target moment and a predicted temperature among a plurality of measured temperatures corresponding to the target winding temperature sensor.

[0012] To achieve the above-mentioned purpose, a second embodiment of the present invention provides a device for monitoring abnormality of a temperature sensor of a generator winding of a wind turbine generator set, the device comprising:

[0013] An acquisition module is used to obtain multiple measured temperatures of temperature sensors corresponding to each winding of the wind turbine generator;

[0014] a prediction module, configured to predict a predicted temperature of a target winding temperature sensor at a target moment based on candidate measured temperatures of any target winding temperature sensor at N moments before any target moment, where N is an integer greater than 1;

[0015] The determination module is configured to determine the operating state of the target winding temperature sensor according to a difference between a target measured temperature at a target moment and a predicted temperature among a plurality of measured temperatures corresponding to the target winding temperature sensor.

[0016] To achieve the above-mentioned purpose, the third aspect embodiment of the present invention proposes an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method described in the first aspect.

[0017] In order to achieve the above-mentioned objectives, an embodiment of the fourth aspect of the present invention proposes a non-transitory computer-readable storage medium storing computer instructions, where the computer instructions are used to enable the computer to execute the method described in the first aspect.

[0018] The embodiments of the present invention provide a method, device, electronic device, and storage medium for monitoring abnormalities of a generator winding temperature sensor of a wind turbine generator set. The method obtains multiple measured temperatures of each winding temperature sensor corresponding to the wind turbine generator set; predicts the predicted temperature of the target winding temperature sensor at a target moment based on the alternative measured temperatures of any target winding temperature sensor at the N preceding moments at any target moment, where N is an integer greater than 1; and determines the operating status of the target winding temperature sensor based on the difference between the target measured temperature and the predicted temperature at the target moment among the multiple measured temperatures corresponding to the target winding temperature sensor. Thus, the winding temperature sensor status judgment introduced by the generator winding temperature prediction method based on historical measured temperatures accurately identifies abnormal winding temperatures, reduces the frequency of abnormal temperature shutdowns caused by misjudgment of temperature anomalies, and reduces the power generation loss of the wind turbine generator set.

[0019] Additional aspects and advantages of the present invention will be set forth in part in the description which follows and, in part, will be obvious from the description which follows, or may be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0021] Figure 1 A schematic flow chart of a method for monitoring abnormality of a generator winding temperature sensor of a wind turbine generator set provided by an embodiment of the present invention;

[0022] Figure 2 A schematic flow chart of another method for monitoring abnormality of a wind turbine generator winding temperature sensor provided by an embodiment of the present invention;

[0023] Figure 3 A schematic structural diagram of an abnormality monitoring device for a generator winding temperature sensor of a wind turbine generator set provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0024] The following describes embodiments of the present invention in detail, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and are not to be construed as limiting the present invention.

[0025] It should be noted that the acquisition, storage, use, and processing of data in the technical solution of the present invention comply with the relevant provisions of national laws and regulations.

[0026] The following describes an abnormality monitoring method and device for a wind turbine generator winding temperature sensor according to an embodiment of the present invention with reference to the accompanying drawings.

[0027] Figure 1 A schematic flow chart of a method for monitoring abnormality of a generator winding temperature sensor of a wind turbine generator set provided by an embodiment of the present invention.

[0028] like Figure 1 As shown, the method includes the following steps:

[0029] Step 101: Acquire multiple measured temperatures of temperature sensors corresponding to respective windings of a wind turbine generator.

[0030] Optionally, there are generally at least a dozen temperature measurement points for measuring the generator winding temperature of a wind turbine generator set, and multiple temperatures at different time periods at any measurement point are obtained as multiple measurement temperatures of each winding temperature sensor, but this is not limited to this.

[0031] Optionally, to improve the reliability of the multiple measured temperatures, data standardization preprocessing may be performed on the multiple measured temperatures of each winding temperature sensor.

[0032] Step 102 : predicting the predicted temperature of the target winding temperature sensor at the target moment based on the candidate measured temperatures of any target winding temperature sensor at N moments before any target moment, where N is an integer greater than 1.

[0033] In some embodiments, the temperature signal of the wind turbine generator set does not change suddenly during normal operation, so the current temperature (target moment temperature) can be predicted based on the data of the time period before the target moment, thereby increasing the dimension of abnormal state determination.

[0034] Optionally, a calculation method for predicting the predicted temperature of the target winding temperature sensor at the target time may be:

[0035]

[0036] Among them, k is the first weighting factor, 1-k is the second weighting factor, is the predicted temperature at the previous moment of time j (target moment), is the measured temperature at the moment before time j.

[0037] Step 103 : determining the operating state of the target winding temperature sensor according to the difference between the target measured temperature at the target moment and the predicted temperature among the plurality of measured temperatures corresponding to the target winding temperature sensor.

[0038] In some embodiments, an implementation method for determining the operating status of a target winding temperature sensor based on the difference between a target measured temperature at a target moment and a predicted temperature among a plurality of measured temperatures corresponding to the target winding temperature sensor may be as follows: obtaining the difference between a target measured temperature at a target moment and a predicted temperature among a plurality of measured temperatures corresponding to the target winding temperature sensor; when the difference is greater than or equal to a preset deviation threshold, or the difference is greater than or equal to the preset deviation threshold within M time periods, determining that the operating status of the target winding temperature sensor is abnormal; when the difference is less than the preset deviation threshold, or the difference is less than the preset deviation threshold within M periods, determining that the operating status of the target winding temperature sensor is normal. Therefore, since the historical measured temperatures over a period of time have the characteristics of continuity and large data volume, the influence of a small number of measured temperature anomalies or jumps can be offset, and the abnormal winding temperature sensor can be accurately identified, thereby eliminating the influence of the measured temperature of the abnormal winding temperature sensor on the output of the wind turbine generator set, reducing the frequency of temperature abnormality shutdown caused by misjudgment of temperature anomalies, and reducing the power generation loss of the wind turbine generator set.

[0039] Optionally, the M time period may be determined by a historical abnormal time threshold of a generator winding temperature sensor of the wind turbine generator set, but is not limited thereto.

[0040] The abnormality monitoring method for the generator winding temperature sensor of a wind turbine generator set according to an embodiment of the present invention obtains multiple measured temperatures of each winding temperature sensor corresponding to the wind turbine generator set; predicts the predicted temperature of the target winding temperature sensor at the target moment based on the alternative measured temperatures of any target winding temperature sensor at the N moments before any target moment, where N is an integer greater than 1; and determines the operating status of the target winding temperature sensor based on the difference between the target measured temperature and the predicted temperature at the target moment among the multiple measured temperatures corresponding to the target winding temperature sensor. Thus, the winding temperature sensor status judgment introduced by the generator winding temperature prediction method based on historical measured temperatures accurately identifies abnormal winding temperatures, reduces the frequency of abnormal temperature shutdowns caused by misjudgment of temperature anomalies, and reduces the power generation loss of the wind turbine generator set.

[0041] In order to clearly illustrate the above embodiment, Figure 2 A schematic flow chart of another method for monitoring abnormality of a wind turbine generator winding temperature sensor provided by an embodiment of the present invention.

[0042] Step 201: Acquire multiple measured temperatures of temperature sensors corresponding to respective windings of a wind turbine generator.

[0043] Step 202 : predicting the predicted temperature of the target winding temperature sensor at the target moment based on the candidate measured temperatures of any target winding temperature sensor at N moments before any target moment, where N is an integer greater than 1.

[0044] Step 203 : determining the operating state of the target winding temperature sensor according to the difference between the target measured temperature at the target moment and the predicted temperature among the multiple measured temperatures corresponding to the target winding temperature sensor.

[0045] It should be noted that the specific implementation of steps 201 to 203 can be found in the description of the relevant embodiments of the present invention, and will not be repeated here.

[0046] Step 204 , when only one candidate temperature sensor among the multiple winding temperature sensors has an abnormal operating status and the operating statuses of the other winding temperature sensors except the candidate temperature sensor are normal, shield the candidate temperature sensor and use the measured temperatures of the other winding temperature sensors except the candidate temperature sensor to control the operation of the wind turbine generator set.

[0047] Optionally, when the abnormal measured temperature of any one of the multiple winding temperature sensors exceeds a warning threshold, the wind turbine generator set will trigger a power reduction operation. Further, when the abnormal measured temperature exceeds a fault threshold, the wind turbine generator set will trigger a unit fault shutdown.

[0048] In addition, when the temperature difference between any two measured generator windings exceeds the set safety threshold, the wind turbine generator will trigger a temperature comparison fault shutdown.

[0049] Step 205: within a predetermined time interval, if the candidate difference between the candidate predicted temperature and the candidate measured temperature of the candidate temperature sensor at the current moment is less than a preset deviation threshold, it is determined that the operating state of the candidate temperature sensor has returned to normal, and the measured temperature of the candidate temperature sensor is restored to perform operation control of the wind turbine.

[0050] Optionally, since the temperature sensor measurement circuit may malfunction or have unstable performance problems, the candidate difference between the candidate predicted temperature and the candidate measured temperature can be monitored within a predetermined time interval. When the candidate difference is less than a preset deviation threshold, the normal monitoring of the candidate temperature sensor will be restored, thereby realizing the reuse of the temperature sensor without the need for replacement and saving costs.

[0051] A method for monitoring abnormalities of a generator winding temperature sensor of a wind turbine generator according to an embodiment of the present invention obtains multiple measured temperatures corresponding to each winding temperature sensor of the wind turbine generator; predicts a predicted temperature of the target winding temperature sensor at a target time based on candidate measured temperatures of any target winding temperature sensor at N moments before any target time, where N is an integer greater than 1; determines an operating state of the target winding temperature sensor based on a difference between a target measured temperature at a target time and a predicted temperature among the multiple measured temperatures corresponding to the target winding temperature sensor; if only one candidate temperature sensor among the multiple winding temperature sensors has an abnormal operating state and the operating states of the other winding temperature sensors except the candidate temperature sensor are normal, shields the candidate temperature sensor, and uses the measured temperatures of the other winding temperature sensors except the candidate temperature sensor to control the operation of the wind turbine generator; if within a predetermined time interval, the candidate difference between the candidate predicted temperature and the candidate measured temperature of the candidate temperature sensor at the current moment is less than a preset deviation threshold, determines that the operating state of the candidate temperature sensor has returned to normal, and restores the measured temperature of the candidate temperature sensor to control the operation of the wind turbine. Therefore, the winding temperature sensor status judgment introduced by the generator winding temperature prediction method based on historical measured temperature can accurately identify abnormal winding temperature, thereby eliminating the impact of the measured temperature of the abnormal temperature sensor on the output of the wind turbine generator set and reducing the frequency of abnormal temperature shutdown caused by misjudgment of temperature abnormality.

[0052] In order to implement the above embodiment, the present invention further provides an abnormality monitoring device for a temperature sensor of a generator winding of a wind turbine generator set.

[0053] Figure 3 A schematic structural diagram of an abnormality monitoring device for a generator winding temperature sensor of a wind turbine generator set provided by an embodiment of the present invention.

[0054] like Figure 3 As shown, the abnormality monitoring device 30 for the generator winding temperature sensor of the wind turbine generator set includes: an acquisition module 31 , a prediction module 32 and a determination module 33 .

[0055] An acquisition module 31 is used to acquire multiple measured temperatures of temperature sensors corresponding to each winding of the wind turbine generator;

[0056] A prediction module 32 is configured to predict a predicted temperature of a target winding temperature sensor at a target moment based on the candidate measured temperatures of any target winding temperature sensor at N moments before any target moment, where N is an integer greater than 1;

[0057] The determination module 33 is configured to determine the operating state of the target winding temperature sensor according to a difference between a target measured temperature at a target moment and a predicted temperature among a plurality of measured temperatures corresponding to the target winding temperature sensor.

[0058] Furthermore, in a possible implementation of the embodiment of the present invention, the determination module 33 is specifically configured to:

[0059] Obtaining a difference between a target measured temperature and a predicted temperature at a target moment among a plurality of measured temperatures corresponding to the target winding temperature sensor;

[0060] When the difference is greater than or equal to the preset deviation threshold, or the difference is greater than or equal to the preset deviation threshold within the M time period, it is determined that the operating state of the target winding temperature sensor is abnormal.

[0061] Furthermore, in a possible implementation of the embodiment of the present invention, the determination module 33 is further specifically configured to:

[0062] When the difference is smaller than the preset deviation threshold, or when the difference is smaller than the preset deviation threshold within M cycles, it is determined that the operating state of the target winding temperature sensor is normal.

[0063] Furthermore, in a possible implementation of the embodiment of the present invention, the apparatus further includes:

[0064] a shielding module, configured to shield the candidate temperature sensor when the operating state of only one candidate temperature sensor among the plurality of winding temperature sensors is abnormal and the operating states of the other winding temperature sensors except the candidate temperature sensor are normal, and to control the operation of the wind turbine generator set using the measured temperatures of the other winding temperature sensors except the candidate temperature sensor;

[0065] The recovery module is used to determine that the operating state of the candidate temperature sensor has returned to normal and restore the measured temperature of the candidate temperature sensor to control the operation of the wind turbine when the candidate difference between the candidate predicted temperature and the candidate measured temperature of the candidate temperature sensor at the current moment is less than a preset deviation threshold within a predetermined time interval.

[0066] It should be noted that the above explanation of the method embodiment is also applicable to the device of this embodiment and will not be repeated here.

[0067] The abnormality monitoring device for the generator winding temperature sensor of a wind turbine generator set according to an embodiment of the present invention obtains multiple measured temperatures of each winding temperature sensor corresponding to the wind turbine generator set; predicts the predicted temperature of the target winding temperature sensor at the target moment based on the alternative measured temperatures of any target winding temperature sensor at the N moments before any target moment, where N is an integer greater than 1; and determines the operating status of the target winding temperature sensor based on the difference between the target measured temperature and the predicted temperature at the target moment among the multiple measured temperatures corresponding to the target winding temperature sensor. Thus, the winding temperature sensor status judgment introduced by the generator winding temperature prediction method based on historical measured temperatures accurately identifies abnormal winding temperatures, reduces the frequency of abnormal temperature shutdowns caused by misjudgment of temperature anomalies, and reduces the power generation loss of the wind turbine generator set.

[0068] In order to implement the above embodiment, the present invention further provides an electronic device, including:

[0069] at least one processor; and

[0070] a memory communicatively connected to the at least one processor; wherein,

[0071] The memory stores instructions that can be executed by the at least one processor. The instructions are executed by the at least one processor to enable the at least one processor to perform the aforementioned method.

[0072] In order to implement the above embodiment, the present invention further proposes a non-transitory computer-readable storage medium storing computer instructions, where the computer instructions are used to enable the computer to execute the above method.

[0073] In the description of this specification, the reference terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" mean that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.

[0074] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "plurality" means at least two, such as two, three, etc., unless otherwise specifically defined.

[0075] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may be performed out of the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present invention pertain.

[0076] The logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk cartridge (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and programmable read-only memory (EPROM or flash memory), fiber optic devices, and a portable compact disc read-only memory (CDROM). Furthermore, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing it in another suitable manner if necessary, and then storing it in a computer memory.

[0077] It should be understood that various parts of the present invention can be implemented using hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0078] Those skilled in the art will understand that all or part of the steps in the method of the above embodiment can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.

[0079] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing module, or each unit may exist physically separately, or two or more units may be integrated into a single module. The aforementioned integrated modules may be implemented in the form of hardware or in the form of software functional modules. If the integrated modules are implemented in the form of software functional modules and sold or used as independent products, they may also be stored in a computer-readable storage medium.

[0080] The storage medium mentioned above may be a read-only memory, a magnetic disk, or an optical disk, etc. Although the embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and are not to be construed as limiting the present invention. Persons skilled in the art may make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention.

Claims

1. A method for monitoring abnormality of a temperature sensor of a generator winding of a wind turbine generator set, characterized in that: The method comprises: Acquire multiple measured temperatures of temperature sensors corresponding to each winding of the wind turbine generator; Predicting a predicted temperature of the target winding temperature sensor at a target moment based on the candidate measured temperatures of any target winding temperature sensor at N moments before any target moment, where N is an integer greater than 1; The operating state of the target winding temperature sensor is determined according to a difference between a target measured temperature at a target moment and a predicted temperature among a plurality of measured temperatures corresponding to the target winding temperature sensor.

2. The method according to claim 1, characterized in that The determining of the operating state of the target winding temperature sensor according to the difference between the target measured temperature at the target moment and the predicted temperature among the multiple measured temperatures corresponding to the target winding temperature sensor includes: Obtaining a difference between a target measured temperature and a predicted temperature at a target moment among a plurality of measured temperatures corresponding to the target winding temperature sensor; When the difference is greater than or equal to the preset deviation threshold, or the difference is greater than or equal to the preset deviation threshold within the M time period, it is determined that the operating state of the target winding temperature sensor is abnormal.

3. The method according to claim 2, characterized in that The method further comprises: When the difference is smaller than the preset deviation threshold, or when the difference is smaller than the preset deviation threshold within M cycles, it is determined that the operating state of the target winding temperature sensor is normal.

4. The method according to claim 1, wherein The method further comprises: When only one candidate temperature sensor among the multiple winding temperature sensors has an abnormal operating state and the operating states of the other winding temperature sensors except the candidate temperature sensor are normal, shielding the candidate temperature sensor and controlling the operation of the wind turbine generator set using the measured temperatures of the other winding temperature sensors except the candidate temperature sensor; Within a predetermined time interval, if the candidate difference between the candidate predicted temperature and the candidate measured temperature of the candidate temperature sensor at the current moment is less than a preset deviation threshold, it is determined that the operating state of the candidate temperature sensor has returned to normal, and the measured temperature of the candidate temperature sensor is restored to perform operation control of the wind turbine.

5. An abnormality monitoring device for a temperature sensor of a generator winding of a wind turbine generator set, characterized in that: The device comprises: An acquisition module is used to obtain multiple measured temperatures of temperature sensors corresponding to each winding of the wind turbine generator; a prediction module, configured to predict a predicted temperature of a target winding temperature sensor at a target moment based on candidate measured temperatures of any target winding temperature sensor at N moments before any target moment, where N is an integer greater than 1; The determination module is configured to determine the operating state of the target winding temperature sensor according to a difference between a target measured temperature at a target moment and a predicted temperature among a plurality of measured temperatures corresponding to the target winding temperature sensor.

6. The device according to claim 5, characterized in that The determination module is specifically configured to: Obtaining a difference between a target measured temperature and a predicted temperature at a target moment among a plurality of measured temperatures corresponding to the target winding temperature sensor; When the difference is greater than or equal to the preset deviation threshold, or the difference is greater than or equal to the preset deviation threshold within the M time period, it is determined that the operating state of the target winding temperature sensor is abnormal.

7. The device according to claim 6, characterized in that The determination module is further specifically configured to: When the difference is smaller than the preset deviation threshold, or when the difference is smaller than the preset deviation threshold within M cycles, it is determined that the operating state of the target winding temperature sensor is normal.

8. The device according to claim 5, characterized in that The device further comprises: a shielding module, configured to shield the candidate temperature sensor when the operating state of only one candidate temperature sensor among the plurality of winding temperature sensors is abnormal and the operating states of the other winding temperature sensors except the candidate temperature sensor are normal, and to control the operation of the wind turbine generator set using the measured temperatures of the other winding temperature sensors except the candidate temperature sensor; The recovery module is used to determine that the operating state of the candidate temperature sensor has returned to normal and restore the measured temperature of the candidate temperature sensor to control the operation of the wind turbine when the candidate difference between the candidate predicted temperature and the candidate measured temperature of the candidate temperature sensor at the current moment is less than a preset deviation threshold within a predetermined time interval.

9. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 4.

10. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: The computer instructions are used to cause the computer to execute the method according to any one of claims 1-4.

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