Fault detection method and device for wind direction sensor of wind generating set

Abstract

The invention relates to the technical field of wind power, in particular to a wind turbine generator set wind direction sensor fault detection method and device, and the method comprises the steps: obtaining the measurement values of a plurality of generator set wind direction sensors; obtaining a predicted wind direction based on a measurement value of the wind direction sensor; and judging the operation state of the wind direction sensor based on the measured value of the wind direction sensor and the predicted wind direction, and controlling the operation of the wind generating set based on the operation state of the wind direction sensor. The wind direction sensor in an abnormal running state is shielded, and the generator set is controlled to run based on the normal wind direction sensor, so that the problems that the accuracy of power control of the wind generator set is affected and the output of the generator set is affected due to the fact that a certain wind direction sensor possibly breaks down or is unstable in performance are solved; the current wind direction is predicted through the data of the body in the previous time period, so that the dimensionality of fault state judgment is increased.

Description

Technical Field

[0001] The present application relates to the field of wind power technology, and in particular to a method, device, electronic device and storage medium for detecting faults in a wind direction sensor of a wind turbine generator set. Background Art

[0002] Wind direction measurement for wind turbines typically involves two different measurement points, typically mechanical, ultrasonic, Hall, or lidar. Multiple wind direction sensors measure wind direction to coordinately control the wind turbine's yaw during the free-generation phase, improving the turbine's power generation performance. This coordinated yaw control is also necessary when the turbine experiences high winds and needs to be shut down to reduce load. Currently, wind direction protection for wind turbines is determined by a faulty wind vane sensor, triggering a shutdown. Alternatively, if the difference between any two measured wind directions exceeds a set safety threshold, the turbine will be shut down due to a wind direction comparison fault.

[0003] Existing control technology mainly uses wind direction data directly measured by wind direction sensors to implement the above-mentioned fault protection strategy. However, during actual operation, the measurement circuit of one of the multiple wind direction sensors may malfunction or have unstable performance, resulting in abnormal measurement data, affecting the accuracy of wind direction measurement, causing unit failure and shutdown, and resulting in power generation loss.

[0004] In summary, how to design a fault detection method for accurately identifying the wind direction sensor of a wind turbine generator set is an urgent problem that needs to be solved. Summary of the Invention

[0005] The present application aims to solve one of the technical problems in the related art at least to a certain extent.

[0006] To this end, the first purpose of this application is to propose a method for detecting wind direction sensor faults in a wind turbine generator set, so as to solve the problems in the existing technical means such as possible failure of a wind direction sensor or unstable performance, which affects the accuracy of power control of the wind turbine generator set and causes the output of the unit to be affected.

[0007] The second object of this application is to provide a device.

[0008] The third objective of this application is to provide an electronic device.

[0009] The fourth object of this application is to provide a computer-readable storage medium.

[0010] The fifth object of this application is to provide a computer program product.

[0011] To achieve the above objectives, the first embodiment of the present application provides a method for detecting a wind direction sensor fault in a wind turbine generator set, comprising:

[0012] Obtain measurement values ​​from wind direction sensors of multiple generator sets;

[0013] Obtaining a predicted wind direction based on a measurement value of the wind direction sensor;

[0014] An operating state of the wind direction sensor is determined based on the measurement value of the wind direction sensor and the predicted wind direction, and an operation of the wind turbine generator set is controlled based on the operating state of the wind direction sensor.

[0015] Preferably, obtaining the predicted wind direction based on the measurement value of the wind direction sensor includes:

[0016] The wind direction of the wind direction sensor at the current moment is predicted based on the wind directions measured by the wind direction sensor at N moments before the current moment to obtain the predicted wind direction.

[0017] Preferably, determining the operating state of the wind direction sensor based on the measured value of the wind direction sensor and the predicted wind direction, and controlling the operation of the wind turbine generator set based on the operating state of the wind direction sensor includes:

[0018] Determine the operating status of the wind direction sensor. If only one of the multiple wind direction sensors is operating abnormally and the other wind direction sensors are operating normally, shield the abnormal wind direction sensor and use the remaining normal wind direction sensors to control the operation of the wind turbine generator set.

[0019] Preferably, determining the operating status of the wind direction sensor includes:

[0020] If the difference between the predicted wind direction and the measured value of the wind direction sensor is greater than the preset deviation threshold, the operating state of the wind direction sensor is determined to be abnormal; if the difference is less than the preset deviation threshold, the operating state of the wind direction sensor is determined to be normal.

[0021] Preferably, it also includes:

[0022] If within a predetermined time period, the differences between the predicted wind direction and the measured wind direction of the abnormal wind direction sensor at the current moment are all less than the preset deviation threshold, then the state of the abnormal wind direction sensor is determined to have returned to normal, the shielding state of the abnormal wind direction sensor is restored, and the operation of the wind turbine is controlled based on the wind direction sensor.

[0023] Preferably, the operating status judgment formula of the wind direction sensor is:

[0024]

[0025] Among them, k is the first weighting factor, 1-k is the second weighting factor, is the predicted wind direction at the moment before time t, is the measured wind direction at the moment before time t.

[0026] To achieve the above-mentioned purpose, a second embodiment of the present application provides a wind direction sensor fault detection device for a wind turbine generator set, comprising:

[0027] A measurement value acquisition module, which acquires the measurement values ​​of wind direction sensors of multiple generator sets;

[0028] A wind direction prediction module, which obtains the predicted wind direction based on the measurement value of the wind direction sensor;

[0029] The judgment module determines the operating state of the wind direction sensor based on the measurement value of the wind direction sensor and the predicted wind direction, and controls the operation of the wind turbine generator set based on the operating state of the wind direction sensor.

[0030] To achieve the above-mentioned purpose, a third embodiment of the present application provides an electronic device, comprising: a processor, and a memory communicatively connected to the processor;

[0031] The memory stores computer-executable instructions;

[0032] The processor executes the computer-executable instructions stored in the memory to implement any of the above methods.

[0033] To achieve the above-mentioned purpose, the fourth embodiment of the present application proposes a computer-readable storage medium, including computer-executable instructions stored in the computer-readable storage medium, and the computer-executable instructions are used to implement any of the methods described above when executed by a processor.

[0034] To achieve the above-mentioned purpose, the fifth embodiment of the present application proposes a computer program product, including a computer program / instruction, characterized in that when the computer program / instruction is executed by a processor, the method described in the first aspect is implemented.

[0035] The present application provides a method for detecting faults in wind direction sensors of wind turbine generator sets. The method predicts the wind direction at the current moment through the measurement values ​​of multiple wind direction sensors of the wind turbine generator sets, determines the operating status of the wind direction sensors based on the predicted wind direction and the measured wind direction, shields wind direction sensors with abnormal operating status, and controls the operation of the generator set based on normal wind direction sensors. This avoids problems such as possible failure or unstable performance of a certain wind direction sensor, which may affect the accuracy of power control of the wind turbine generator set and cause the output of the unit to be affected. The current wind direction is predicted through data from the previous time period of the main body, thereby increasing the dimension of fault status judgment.

[0036] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0038] Figure 1 This is a flow chart of a first specific embodiment of a method for detecting a fault of a wind direction sensor of a wind turbine generator set provided by the present invention;

[0039] Figure 2 This is a flow chart of a second specific embodiment of a method for detecting a fault of a wind direction sensor of a wind turbine generator set provided by the present invention;

[0040] Figure 3 This is a structural block diagram of a wind direction sensor fault detection device for a wind turbine generator set provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0041] The core of the present invention is to provide a wind direction sensor fault detection method, device, electronic equipment and storage medium for a wind turbine generator set. The fault detection is performed on the operating status of the wind direction sensor by measuring the difference between the predicted wind direction and the measured wind direction, and abnormal wind direction sensors are accurately identified, thereby eliminating the impact of the measurement data of the abnormal wind direction sensor on the output of the wind turbine generator set.

[0042] In order to enable those skilled in the art to better understand the present invention, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0043] Please refer to Figure 1 , Figure 1 This is a flow chart of a first specific embodiment of a method for detecting a wind direction sensor fault in a wind turbine generator set provided by the present invention; the specific operating steps are as follows:

[0044] Step S101: obtaining measurement values ​​of wind direction sensors of multiple generator sets;

[0045] Step S102: obtaining a predicted wind direction based on the measurement value of the wind direction sensor;

[0046] The wind direction of the wind direction sensor at the current moment is predicted based on the wind directions measured by the wind direction sensor at N moments before the current moment to obtain the predicted wind direction.

[0047] Step S103: determining the operating state of the wind direction sensor based on the measurement value of the wind direction sensor and the predicted wind direction, and controlling the operation of the wind turbine generator set based on the operating state of the wind direction sensor.

[0048] Determine the operating status of the wind direction sensor. If only one of the multiple wind direction sensors is operating abnormally and the other wind direction sensors are operating normally, shield the abnormal wind direction sensor and use the remaining normal wind direction sensors to control the operation of the wind turbine generator set.

[0049] Determining the operating status of the wind direction sensor includes:

[0050] If the difference between the predicted wind direction and the measured value of the wind direction sensor is greater than the preset deviation threshold, the operating state of the wind direction sensor is determined to be abnormal; if the difference is less than the preset deviation threshold, the operating state of the wind direction sensor is determined to be normal.

[0051] If within a predetermined time period, the differences between the predicted wind direction and the measured wind direction of the abnormal wind direction sensor at the current moment are all less than the preset deviation threshold, then the state of the abnormal wind direction sensor is determined to have returned to normal, the shielding state of the abnormal wind direction sensor is restored, and the operation of the wind turbine is controlled based on the wind direction sensor.

[0052] The operating status judgment formula of the wind direction sensor is:

[0053]

[0054] Among them, k is the first weighting factor, 1-k is the second weighting factor, is the predicted wind direction at the moment before time t, is the measured wind direction at the moment before time t.

[0055] This embodiment provides a method for detecting wind direction sensor faults in a wind turbine generator set. The method predicts the wind direction at the current moment through the measurement values ​​of multiple wind direction sensors of the wind turbine generator set, determines the operating status of the wind direction sensor based on the predicted wind direction and the measured wind direction, shields the wind direction sensor with an abnormal operating status, and controls the operation of the generator set based on the normal wind direction sensor, thereby avoiding problems such as possible failure or unstable performance of a certain wind direction sensor, which may affect the accuracy of the wind turbine generator set power control and thus affect the unit output.

[0056] Based on the above embodiment, this embodiment describes a method for detecting a fault of a wind direction sensor of a wind turbine generator set. Figure 2 As shown, the details are as follows:

[0057] Step S201: obtaining measurement values ​​of wind direction sensors of multiple generator sets;

[0058] Step S202: Obtaining the predicted wind direction at the current moment based on the wind directions measured by the wind direction sensor at the N moments before the current moment;

[0059] First, the wind direction measured by multiple wind direction sensors is obtained through the configuration of the wind turbine main control system; based on the wind direction measured by the wind direction sensor at the previous N (integer greater than 1) moments at the current moment, the predicted wind direction of the wind direction sensor at the current moment is obtained.

[0060] Step S203: determining the operating state of the wind direction sensor according to the predicted wind direction and the measured wind direction of the wind direction sensor at the current moment;

[0061] Determine the operating status of the wind direction sensor based on the difference between the predicted wind direction and the measured wind direction at the current moment;

[0062] If the difference between the predicted wind direction and the measured wind direction is greater than a preset deviation threshold, the operating state of the wind direction sensor is determined to be abnormal; if the difference is less than the preset deviation threshold, the operating state of the wind direction sensor is determined to be normal; or if all the differences are greater than the preset deviation threshold within a period, the operating state of the wind direction sensor is determined to be abnormal; or if the difference is less than the preset deviation threshold within a period, the operating state of the wind direction sensor is determined to be normal.

[0063] Step S204: If it is determined that only one of the multiple wind direction sensors is operating abnormally and the other wind direction sensors are operating normally, the abnormal wind direction sensor is shielded and the signals of the remaining wind direction sensors are used to control the operation of the unit;

[0064] Step S205: If within a predetermined time period, the differences between the predicted wind direction and the measured wind direction of the abnormal sensor at the current moment are all less than the preset deviation threshold, it is determined that the state of the abnormal wind direction sensor has returned to normal, and the measurement data of the abnormal wind direction sensor is restored and the operation control of the wind turbine is restored.

[0065] The wind direction fault detection device is arranged in the main controller of the wind turbine generator set and is placed on the PLC memory card. The above fault detection method is executed when the processor is running.

[0066] An embodiment of the present invention provides a method for detecting faults in a wind direction sensor of a wind turbine generator set. The method predicts the wind direction at the current moment through the measurement values ​​of multiple wind direction sensors of the wind turbine generator set, determines the operating status of the wind direction sensor based on the predicted wind direction and the measured wind direction, shields the wind direction sensor with an abnormal operating status, controls the operation of the generator set based on the normal wind direction sensor, accurately identifies abnormal wind direction signals, thereby eliminating the influence of the measurement data of the abnormal wind direction sensor on the control of the wind direction, reducing the frequency of reduced wind turbine output due to misjudgment of wind direction faults, and reducing the loss of power generation.

[0067] Please refer to Figure 3 , Figure 3 This is a structural block diagram of a wind direction sensor fault detection device for a wind turbine generator set provided by an embodiment of the present invention; the specific device may include:

[0068] The measurement value acquisition module 100 acquires the measurement values ​​of wind direction sensors of multiple generator sets;

[0069] A wind direction prediction module 200 is configured to obtain a predicted wind direction based on a measurement value of the wind direction sensor;

[0070] The judgment module 300 determines the operating state of the wind direction sensor based on the measurement value of the wind direction sensor and the predicted wind direction, and controls the operation of the wind turbine generator set based on the operating state of the wind direction sensor.

[0071] A wind direction sensor fault detection device for a wind turbine generator set in this embodiment is used to implement the aforementioned wind direction sensor fault detection method for a wind turbine generator set. Therefore, the specific implementation method of a wind direction sensor fault detection device for a wind turbine generator set can be seen in the embodiment part of the wind direction sensor fault detection method for a wind turbine generator set in the previous text. For example, the measurement value acquisition module 100, the wind direction prediction module 200, and the judgment module 300 are respectively used to implement steps S101, S102, and S103 in the aforementioned wind direction sensor fault detection method for a wind turbine generator set. Therefore, its specific implementation method can refer to the description of the corresponding embodiments of each part, and will not be repeated here.

[0072] In order to implement the above embodiments, the present application also proposes an electronic device, comprising: a processor, and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the method provided by the above embodiments.

[0073] In order to implement the above embodiments, the present application also proposes a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the methods provided by the above embodiments.

[0074] In order to implement the above embodiments, the present application also proposes a computer program product, including a computer program, which implements the methods provided by the above embodiments when executed by a processor.

[0075] The collection, storage, use, processing, transmission, provision and disclosure of user personal information involved in this application are in compliance with relevant laws and regulations and do not violate public order and good morals.

[0076] It is important to note that personal information collected from users should be used for legitimate and reasonable purposes and should not be shared or sold beyond these legitimate uses. Furthermore, such collection / sharing should be conducted only after receiving the user's informed consent, including but not limited to notifying the user to read the user agreement / user notice and sign an agreement / authorization that includes the relevant user information before using the feature. Furthermore, any necessary steps must be taken to safeguard and secure access to such personal information and ensure that others with access to personal information comply with its privacy policy and procedures.

[0077] This application contemplates providing implementations that allow users to selectively block the use or access of personal information data. Specifically, this disclosure contemplates providing hardware and / or software to prevent or block access to such personal information data. Risks can be minimized by limiting data collection and deleting data once it is no longer needed. Furthermore, where applicable, such personal information can be de-identified to protect user privacy.

[0078] In the descriptions of the foregoing embodiments, 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 application. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are mutually inconsistent.

[0079] 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 of such features. Throughout the description of this application, "plurality" means at least two, for example, two, three, etc., unless otherwise specifically defined.

[0080] 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 application 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 application belong.

[0081] 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.

[0082] It should be understood that various parts of the present application can be implemented using hardware, software, firmware, or a combination thereof. In the above 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 to implement: 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.

[0083] 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.

[0084] In addition, the functional units in the various embodiments of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into a module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0085] 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 application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application. Persons skilled in the art may make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application.

Claims

1. A method for detecting a wind direction sensor fault in a wind turbine generator set, characterized in that: include: Obtain measurement values ​​from wind direction sensors of multiple generator sets; Obtaining a predicted wind direction based on a measurement value of the wind direction sensor; An operating state of the wind direction sensor is determined based on the measurement value of the wind direction sensor and the predicted wind direction, and an operation of the wind turbine generator set is controlled based on the operating state of the wind direction sensor.

2. The method for detecting a wind direction sensor fault in a wind turbine generator set according to claim 1, wherein: The obtaining of the predicted wind direction based on the measurement value of the wind direction sensor includes: The wind direction of the wind direction sensor at the current moment is predicted based on the wind directions measured by the wind direction sensor at N moments before the current moment to obtain the predicted wind direction.

3. The method for detecting a wind direction sensor fault in a wind turbine generator set according to claim 1, wherein: Determining the operating state of the wind direction sensor based on the measured value of the wind direction sensor and the predicted wind direction, and controlling the operation of the wind turbine generator set based on the operating state of the wind direction sensor includes: Determine the operating status of the wind direction sensor. If only one of the multiple wind direction sensors is operating abnormally and the other wind direction sensors are operating normally, shield the abnormal wind direction sensor and use the remaining normal wind direction sensors to control the operation of the wind turbine generator set.

4. The method for detecting wind direction sensor failure of a wind turbine generator set according to claim 3, wherein: Determining the operating status of the wind direction sensor includes: If the difference between the predicted wind direction and the measured value of the wind direction sensor is greater than the preset deviation threshold, the operating state of the wind direction sensor is determined to be abnormal; if the difference is less than the preset deviation threshold, the operating state of the wind direction sensor is determined to be normal.

5. The method for detecting a wind direction sensor fault in a wind turbine generator set according to claim 4, wherein: Also includes: If within a predetermined time period, the differences between the predicted wind direction and the measured wind direction of the abnormal wind direction sensor at the current moment are all less than the preset deviation threshold, then the state of the abnormal wind direction sensor is determined to have returned to normal, the shielding state of the abnormal wind direction sensor is restored, and the operation of the wind turbine is controlled based on the wind direction sensor.

6. The method for detecting wind direction sensor failure of a wind turbine generator set according to claim 5, characterized in that: The operating status judgment formula of the wind direction sensor is: Among them, k is the first weighting factor, 1-k is the second weighting factor, is the predicted wind direction at the moment before time t, is the measured wind direction at the moment before time t.

7. A wind direction sensor fault detection device for a wind turbine generator set, characterized in that: include: A measurement value acquisition module, which acquires the measurement values ​​of wind direction sensors of multiple generator sets; A wind direction prediction module, which obtains the predicted wind direction based on the measurement value of the wind direction sensor; The judgment module determines the operating state of the wind direction sensor based on the measurement value of the wind direction sensor and the predicted wind direction, and controls the operation of the wind turbine generator set based on the operating state of the wind direction sensor.

8. An electronic device, characterized in that: include: a processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 6 when executed by a processor.

10. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instructions are executed by a processor, the test environment deployment method according to any one of claims 1 to 6 is implemented.

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