Alarm method and device for abnormal rotating speed of wind turbine generator

Abstract

The invention provides a rotating speed abnormity alarm method and device for a wind turbine generator, and relates to the technical field of wind turbine generators. The method comprises the following steps: acquiring a unit vibration signal of a target wind turbine unit in real time, and preprocessing the unit vibration signal to extract N candidate rotating speeds corresponding to the target wind turbine unit at the current moment; a rotating speed related signal corresponding to the target wind turbine generator is determined according to the state information of the target wind turbine generator, the related rotating speed corresponding to the target wind turbine generator at the current moment is determined according to the rotating speed related signal, and the state information is a grid-connected state or a non-grid-connected state; according to the N candidate rotating speeds corresponding to the target wind turbine generator at the current moment and the related rotating speeds, whether the target wind turbine generator is in a rotating speed abnormal state at the current moment is judged; and in response to judging that the rotating speed state of the target wind turbine generator at the current moment is the rotating speed abnormal state and monitoring that the duration of the rotating speed abnormal state exceeds the preset duration, triggering a rotating speed abnormal alarm.

Description

Technical Field

[0001] The present application relates to the technical field of wind turbines, and in particular to a method and device for an abnormal speed alarm of a wind turbine. Background Art

[0002] As a renewable energy technology, wind turbines are widely used in remote and harsh environments. One of its core components is the wind rotor, whose speed directly affects the performance and safety of the generator. The speed range of wind turbines is very wide, ranging from hundreds of revolutions per minute for small wind turbines to dozens of revolutions per minute for large units. If the speed exceeds the preset range, it may cause excessive wear or failure of mechanical parts, and even cause failures or accidents in severe cases. Therefore, real-time monitoring of speed and abnormal alarm is an urgent problem to be solved. Summary of the invention

[0003] The present disclosure provides a method and device for abnormal rotation speed alarm of a wind turbine generator set, so as to at least solve the problem of how to monitor the rotation speed in real time and issue an abnormal alarm in the related art.

[0004] The first aspect of the present application proposes a method for abnormal speed alarm of a wind turbine, comprising: acquiring a unit vibration signal of a target wind turbine in real time, and preprocessing the unit vibration signal to extract N candidate speeds corresponding to the target wind turbine at the current moment; determining a speed-related signal corresponding to the target wind turbine according to the state information of the target wind turbine, and determining the relevant speed corresponding to the target wind turbine at the current moment according to the speed-related signal, wherein the state information is a grid-connected state or a non-grid-connected state; judging whether the target wind turbine is in an abnormal speed state at the current moment according to the N candidate speeds and the relevant speed corresponding to the target wind turbine at the current moment; in response to judging that the speed state of the target wind turbine at the current moment is an abnormal speed state, and monitoring that the duration of the abnormal speed state exceeds a preset duration, triggering an abnormal speed alarm.

[0005] According to one embodiment of the present application, the unit vibration signal is preprocessed to extract N candidate rotational speeds corresponding to the target wind turbine at the current moment, including: sampling the unit vibration signal to obtain the sampling signal corresponding to the current moment; filtering and Fourier decomposing the sampling signal to convert the sampling signal from a time domain signal to a frequency domain signal; identifying multiple peak frequencies included in the frequency domain signal, and sorting the multiple peak frequencies from large to small, and obtaining the first N peak frequencies as the target peak frequencies corresponding to the frequency domain signal; based on the functional relationship between frequency and rotational speed, obtaining the rotational speed corresponding to each target peak frequency corresponding to the frequency domain signal as the candidate rotational speed corresponding to the target wind turbine at the current moment.

[0006] According to one embodiment of the present application, in response to status information indicating that the target wind turbine is in a grid-connected state, a speed-related signal corresponding to the target wind turbine is determined according to the status information of the target wind turbine, and the relevant speed corresponding to the target wind turbine at the current moment is determined according to the speed-related signal, including: obtaining a first speed signal of the target wind turbine collected by a proximity switch, and obtaining a second speed signal of the target wind turbine collected by a converter; determining a first speed corresponding to the target wind turbine at the current moment according to the first speed signal, and determining a second speed corresponding to the target wind turbine at the current moment according to the second speed signal.

[0007] According to an embodiment of the present application, in response to status information indicating that the target wind turbine is in a grid-connected state, based on N candidate speeds and related speeds corresponding to the target wind turbine at the current moment, it is determined whether the target wind turbine is in an abnormal speed state at the current moment, including: determining a speed reference interval corresponding to the current moment based on a first speed, a second speed, and a preset first offset corresponding to the target wind turbine at the current moment; extracting one candidate speed that is within the speed reference interval from the N candidate speeds corresponding to the current moment as the third speed corresponding to the current moment; and determining whether the target wind turbine is in an abnormal speed state at the current moment based on the second speed and the third speed.

[0008] According to one embodiment of the present application, determining whether a target wind turbine is in an abnormal speed state at a current moment based on a second speed and a third speed includes: obtaining a difference between the second speed and the third speed corresponding to the target wind turbine at the current moment, and obtaining an absolute value of the difference as a first absolute value; determining whether the first absolute value is greater than a first preset threshold value; in response to determining that the first absolute value is greater than the first preset threshold value, determining that the target wind turbine is in an abnormal speed state at the current moment.

[0009] According to one embodiment of the present application, in response to status information indicating that the target wind turbine is in a non-grid-connected state, a speed-related signal corresponding to the target wind turbine is determined according to the status information of the target wind turbine, and the relevant speed corresponding to the target wind turbine at the current moment is determined according to the speed-related signal, including: acquiring a first speed signal of the target wind turbine collected by a proximity switch; and determining a first speed corresponding to the target wind turbine at the current moment according to the first speed signal.

[0010] According to an embodiment of the present application, in response to status information indicating that the target wind turbine is in a non-grid-connected state, based on N candidate speeds and related speeds corresponding to the target wind turbine at the current moment, it is determined whether the target wind turbine is in an abnormal speed state at the current moment, including: determining a speed reference interval corresponding to the current moment based on a first speed corresponding to the target wind turbine at the current moment and a preset second offset; extracting one candidate speed that is within the speed reference interval from the N candidate speeds corresponding to the current moment as a third speed corresponding to the current moment; and determining whether the target wind turbine is in an abnormal speed state at the current moment based on the first speed and the third speed.

[0011] According to one embodiment of the present application, determining whether a target wind turbine is in an abnormal speed state at a current moment based on a first speed and a third speed includes: obtaining a difference between the first speed and the third speed corresponding to the target wind turbine at the current moment, and obtaining an absolute value of the difference as a second absolute value; determining whether the second absolute value is greater than a second preset threshold value; in response to determining that the second absolute value is greater than the second preset threshold value, determining that the target wind turbine is in an abnormal speed state at the current moment.

[0012] According to an embodiment of the present application, one candidate speed located within a speed reference interval is extracted from N candidate speeds corresponding to the current moment as the third speed corresponding to the current moment, including: determining the priority of obtaining each candidate speed in descending order of the target peak frequency corresponding to the current moment; comparing the candidate speeds with the speed reference interval in turn according to the priority, and taking the first candidate speed located within the speed reference interval as the third speed corresponding to the current moment.

[0013] The second aspect of the present application proposes an abnormal speed alarm device for a wind turbine, comprising: a first acquisition module, used to acquire a unit vibration signal of a target wind turbine in real time, and pre-process the unit vibration signal to extract N candidate speeds corresponding to the target wind turbine at the current moment; a second acquisition module, used to determine a speed-related signal corresponding to the target wind turbine according to the state information of the target wind turbine, and determine the relevant speed corresponding to the target wind turbine at the current moment according to the speed-related signal, wherein the state information is a grid-connected state or a non-grid-connected state; a judgment module, used to judge whether the target wind turbine is in an abnormal speed state at the current moment according to the N candidate speeds and the relevant speed corresponding to the target wind turbine at the current moment; an alarm module, used to trigger an abnormal speed alarm in response to a judgment that the speed state of the target wind turbine at the current moment is an abnormal speed state, and the duration of the abnormal speed state is monitored to exceed a preset duration.

[0014] According to one embodiment of the present application, the first acquisition module is also used to: sample the vibration signal of the unit to obtain the sampling signal corresponding to the current moment; filter and Fourier decompose the sampling signal to convert the sampling signal from a time domain signal to a frequency domain signal; identify multiple peak frequencies included in the frequency domain signal, and sort the multiple peak frequencies from large to small, and obtain the first N peak frequencies as the target peak frequencies corresponding to the frequency domain signal; based on the functional relationship between frequency and speed, obtain the speed corresponding to each target peak frequency corresponding to the frequency domain signal as the candidate speed corresponding to the target wind turbine at the current moment.

[0015] According to one embodiment of the present application, in response to status information indicating that the target wind turbine is in a grid-connected state, the second acquisition module is further used to: obtain a first speed signal of the target wind turbine collected by the proximity switch, and obtain a second speed signal of the target wind turbine collected by the converter; determine a first speed corresponding to the target wind turbine at the current moment according to the first speed signal, and determine a second speed corresponding to the target wind turbine at the current moment according to the second speed signal.

[0016] According to one embodiment of the present application, in response to status information indicating that the target wind turbine is in a grid-connected state, the judgment module is further used to: determine a speed reference interval corresponding to the current moment based on a first speed, a second speed and a preset first offset corresponding to the target wind turbine at the current moment; extract one candidate speed that is within the speed reference interval from N candidate speeds corresponding to the current moment as the third speed corresponding to the current moment; and judge whether the target wind turbine is in an abnormal speed state at the current moment based on the second speed and the third speed.

[0017] According to one embodiment of the present application, the judgment module is also used to: obtain the difference between the second speed and the third speed corresponding to the target wind turbine at the current moment, and obtain the absolute value of the difference as the first absolute value; judge whether the first absolute value is greater than a first preset threshold; in response to judging that the first absolute value is greater than the first preset threshold, determine that the target wind turbine is in an abnormal speed state at the current moment.

[0018] According to one embodiment of the present application, in response to the status information indicating that the target wind turbine is in a non-grid-connected state, the second acquisition module is also used to: obtain a first speed signal of the target wind turbine collected by the proximity switch; and determine the first speed corresponding to the target wind turbine at the current moment based on the first speed signal.

[0019] According to one embodiment of the present application, in response to status information indicating that the target wind turbine is in a non-grid-connected state, the judgment module is further used to: determine a speed reference interval corresponding to the current moment based on a first speed corresponding to the target wind turbine at the current moment and a preset second offset; extract one candidate speed located within the speed reference interval from N candidate speeds corresponding to the current moment as a third speed corresponding to the current moment; and judge whether the target wind turbine is in an abnormal speed state at the current moment based on the first speed and the third speed.

[0020] According to one embodiment of the present application, the judgment module is also used to: obtain the difference between the first speed and the third speed corresponding to the target wind turbine at the current moment, and obtain the absolute value of the difference as the second absolute value; judge whether the second absolute value is greater than the second preset threshold; in response to judging that the second absolute value is greater than the second preset threshold, determine that the target wind turbine is in an abnormal speed state at the current moment.

[0021] According to one embodiment of the present application, the judgment module is also used to: determine the priority of obtaining each candidate speed in descending order according to the target peak frequency corresponding to the current moment; compare the candidate speeds with the speed reference interval in turn according to the priority, and take the first candidate speed located in the speed reference interval as the third speed corresponding to the current moment.

[0022] The third aspect embodiment of the present application 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 executable by the at least one processor, and the instructions are executed by the at least one processor to implement the abnormal speed alarm method for a wind turbine group as described in the first aspect embodiment of the present application.

[0023] The fourth aspect of the present application provides a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to implement the abnormal speed alarm method for a wind turbine set as described in the first aspect of the present application.

[0024] The fifth aspect of the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the abnormal speed alarm method for a wind turbine set as described in the first aspect of the present application.

[0025] The technical solution provided by the embodiments of the present disclosure brings at least the following beneficial effects: the present application does not require the installation of additional hardware equipment on the existing wind turbine set, and utilizes the principle that the triple frequency component of the set speed can be accurately reflected in the vibration information of the set. By extracting the vibration signal and performing a spectrum analysis on it, an accurate speed signal can be obtained, thereby reducing hardware costs and installation complexity; the present application more accurately realizes abnormal speed warning under all working conditions.

[0026] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] 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:

[0028] Figure 1 It is a schematic diagram of an exemplary implementation of a method for abnormal rotation speed alarm of a wind turbine generator set shown in an embodiment of the present application.

[0029] Figure 2 It is a schematic diagram showing an embodiment of the present application for identifying the first four peak frequencies included in a frequency domain signal as target peak frequencies corresponding to the frequency domain signal.

[0030] Figure 3 It is a schematic diagram of an exemplary implementation of a method for alarming abnormal rotation speed of a wind turbine set corresponding to a target wind turbine set in a grid-connected state, shown in an embodiment of the present application.

[0031] Figure 4 It is a schematic diagram of an exemplary implementation of a method for alarming abnormal rotation speed of a wind turbine set corresponding to a target wind turbine set in a non-grid-connected state, shown in an embodiment of the present application.

[0032] Figure 5 It is a schematic diagram of an abnormal speed alarm device for a wind turbine set shown in one embodiment of the present application.

[0033] Figure 6 It is a schematic diagram of an electronic device shown in one embodiment of the present application. DETAILED DESCRIPTION

[0034] Embodiments of the present application are described in detail below, and examples of the embodiments 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 application, and should not be construed as limiting the present application.

[0035] It should be noted that the acquisition, transmission, storage, use, and processing of data in the technical solution of this application are in compliance with the relevant provisions of national laws and regulations.

[0036] It should be noted that in the embodiments of the present application, certain software, components, models and other existing solutions in the industry may be mentioned, and they should be regarded as exemplary. Their purpose is only to illustrate the feasibility of implementing the technical solution of the present application, but it does not mean that the applicant has or will necessarily use the solution.

[0037] At present, the main structures of wind turbines are divided into double-fed type with gearbox and direct-drive type without gearbox. Since direct-drive wind turbines do not have the high-speed transmission link of gearbox, their speed monitoring points are relatively few. Generally, direct-drive wind turbines use two speed measurement methods:

[0038] The first method is to measure speed with a proximity switch: a proximity switch is a position switch that can be operated without mechanical contact with moving parts. When an object approaches the sensing surface of the switch to a certain distance, a corresponding pulse signal is generated. The proximity switch is usually installed at the connecting bolts between the main shaft and the impeller (the bolts are evenly distributed around, about dozens of them). Whenever the main shaft rotates, the bolts pass through the proximity switch to generate a pulse signal. By calculating the time difference between the two bolts passing through the proximity switch and based on the number of bolts, the speed of the impeller can be calculated. The accuracy of this speed measurement method is limited by the number of bolts. The more bolts there are, the higher the speed measurement accuracy.

[0039] The second method is to measure speed by inverter feedback: when the wind turbine is connected to the grid, the inverter identifies the speed characteristics by collecting the current and voltage signals on the machine side. Since the sampling frequency inside the inverter is high, the calculated speed has high accuracy and can be used as a speed signal for control input after being processed by the main control.

[0040] Wind turbines are usually equipped with three blades. When the wind turbine rotates, the three blades rotate at the same time and pass through the tower in sequence, forming a three-fold rotation frequency. This frequency feature will be reflected in the unit vibration signal collected by the unit vibration sensor. By performing spectral analysis on the unit vibration signal, the rotation frequency signal can be extracted to accurately determine the speed information of the unit. In view of the limitations of the above-mentioned speed measurement method, the present invention proposes a spectral analysis method based on the unit vibration signal to deduce the current speed of the unit, and compare it with the proximity switch speed measurement or the converter feedback speed measurement in real time according to the status information, so as to judge the accuracy of the two speed measurement methods within the full range of operating conditions to achieve abnormal speed alarm.

[0041] Figure 1 is a schematic diagram of an exemplary implementation of a method for abnormal speed alarm of a wind turbine generator set shown in the present application, such as Figure 1 As shown, the abnormal speed alarm method of the wind turbine generator set includes the following steps:

[0042] S101, acquiring a unit vibration signal of a target wind turbine unit in real time, and preprocessing the unit vibration signal to extract N candidate rotation speeds corresponding to the target wind turbine unit at the current moment.

[0043] In this application, the wind turbine set that needs to issue a real-time abnormal speed alarm is taken as the target wind turbine set.

[0044] In the present application, the vibration signal of the unit is collected by a vibration sensor installed on the target wind turbine unit, and is stored accordingly after collection.

[0045] In the present application, after obtaining the unit vibration signal of the target wind turbine unit, the unit vibration signal is sampled to obtain the sampling signal corresponding to the current moment, and then the sampling signal is filtered (the sampling signal is filtered through a low-pass filter to remove high-frequency signal components, such as removing impact vibrations and high-frequency disturbance signals, and retaining low-frequency signals) and Fourier decomposition is performed in sequence to convert the sampling signal from a time domain signal into a frequency domain signal.

[0046] After the frequency domain signal is obtained, multiple peak frequencies included in the frequency domain signal are identified, and the multiple peak frequencies are sorted from large to small, and the first N peak frequencies are obtained as target peak frequencies corresponding to the frequency domain signal. Figure 2 is a schematic diagram of identifying the first four peak frequencies included in the frequency domain signal as the target peak frequencies corresponding to the frequency domain signal shown in the present application, such as Figure 2 As shown, multiple peak frequencies included in the frequency domain signal are identified, and the multiple peak frequencies are sorted from large to small, and the first four peak frequencies are obtained as the target peak frequencies corresponding to the frequency domain signal.

[0047] Then, based on the functional relationship between frequency and speed, the speed corresponding to each target peak frequency corresponding to the frequency domain signal is obtained as the candidate speed corresponding to the target wind turbine at the current moment. Among them: the functional relationship between frequency and speed is expressed as follows:

[0048] n=f*60 / 3

[0049] In the above formula, n represents the rotation speed corresponding to the target peak frequency, f represents the target peak frequency, and 3 represents the number of blades, which are 3.

[0050] Among them, when sampling the vibration signal of the unit and obtaining the sampling signal corresponding to the current moment, in order to obtain accurate speed data, it is necessary to reasonably set the sampling frequency and storage time, and effectively process the data. The following are two common data processing methods: slippage and segmentation.

[0051] 1. The sliding method involves sliding the unit vibration signal window for smoothing. Specifically:

[0052] Sampling frequency: set to 50Hz, that is, 50 data points are sampled per second.

[0053] Storage duration: set to 30 seconds, and 1500 data points were collected.

[0054] For example, the vibration signal from time period 8:00:00 to 8:00:30 is classified as 8:00:15, that is, the signal of these 30 seconds is classified as the midpoint of this moment. Then the signal from time period 8:00:01 to 8:00:31 is classified as 8:00:16, that is, the signal window is slipped for 1 second for smoothing.

[0055] 2. The segmentation method involves dividing the unit vibration signal into fixed time periods and processing the signal in each time period. Specifically:

[0056] Sampling frequency: set to 50Hz, that is, 50 data points are sampled per second.

[0057] Storage duration: set to 30 seconds, and 1500 data points were collected.

[0058] For example, the vibration signal in the time period of 8:00:00 to 8:00:30 is classified as 8:00:15, that is, the signal in this time period is regarded as the representative of the time point of 8:00:15. The vibration signal in the time period of 8:00:30 to 8:01:00 is classified as 8:00:45, that is, the signal in this time period is regarded as the representative of the time point of 8:00:45.

[0059] This method helps to decompose data in a long period of time into signals in multiple short periods of time and analyze them separately, so as to more accurately capture the vibration characteristics of different time periods.

[0060] S102, determining a speed-related signal corresponding to the target wind turbine according to the state information of the target wind turbine, and determining the relevant speed corresponding to the target wind turbine at the current moment according to the speed-related signal, wherein the state information is a grid-connected state or a non-grid-connected state.

[0061] When the target wind turbine is connected to the grid, a first speed signal of the target wind turbine collected by the proximity switch is obtained, and a second speed signal of the target wind turbine collected by the converter is obtained; a first speed corresponding to the target wind turbine at the current moment is determined according to the first speed signal, and a second speed corresponding to the target wind turbine at the current moment is determined according to the second speed signal, that is, the first speed and the second speed are related speeds.

[0062] When the target wind turbine is not connected to the grid, the first speed signal of the target wind turbine collected by the proximity switch is obtained, and then the first speed corresponding to the target wind turbine at the current moment is determined according to the first speed signal, that is, the first speed is the relevant speed.

[0063] S103, judging whether the target wind turbine generator set is in an abnormal speed state at the current moment according to the N candidate speeds and the related speeds corresponding to the target wind turbine generator set at the current moment.

[0064] S104, in response to determining that the speed state of the target wind turbine generator set at the current moment is an abnormal speed state, and monitoring that the duration of the abnormal speed state exceeds a preset duration, triggering an abnormal speed alarm.

[0065] The preset time length is set to a reasonable time length, such as 5 minutes or 10 minutes, to prevent short-term fluctuations from triggering unnecessary alarms.

[0066] Taking the preset duration as 5 minutes as an example, if the target wind turbine is in an abnormal speed state at each corresponding speed state within 5 minutes, the abnormal speed alarm is triggered and an abnormal speed alarm signal is issued.

[0067] An embodiment of the present application proposes a method for abnormal speed alarm of a wind turbine, comprising: acquiring a unit vibration signal of a target wind turbine in real time, and preprocessing the unit vibration signal to extract N candidate speeds corresponding to the target wind turbine at the current moment; determining a speed-related signal corresponding to the target wind turbine according to the state information of the target wind turbine, and determining the relevant speed corresponding to the target wind turbine at the current moment according to the speed-related signal, wherein the state information is a grid-connected state or a non-grid-connected state; judging whether the target wind turbine is in an abnormal speed state at the current moment according to the N candidate speeds and the relevant speed corresponding to the target wind turbine at the current moment; in response to judging that the speed state of the target wind turbine at the current moment is an abnormal speed state, and monitoring that the duration of the abnormal speed state exceeds a preset duration, triggering an abnormal speed alarm. This application does not require the installation of additional hardware equipment on the existing wind turbines. It utilizes the principle that the triple frequency component of the unit speed can be accurately reflected in the unit vibration information. By extracting the vibration signal and performing a spectrum analysis on it, an accurate speed signal can be obtained, reducing hardware costs and installation complexity. This application allows for precise judgment under different operating conditions, and can effectively judge the accuracy of the speed signal whether in non-grid-connected conditions or in grid-connected conditions, thereby enhancing the applicability and stability under various working conditions. By monitoring the abnormal speed state and triggering an early warning, timely measures can be taken to deal with abnormal situations, reduce the incidence of equipment failures, and extend the service life of the equipment.

[0068] Figure 3 is a schematic diagram of an exemplary implementation of a method for an abnormal speed alarm of a wind turbine generator set corresponding to a target wind turbine generator set in a grid-connected state, as shown in the present application. Figure 3 As shown, the abnormal speed alarm method of the wind turbine generator set includes the following steps:

[0069] S301, acquiring a unit vibration signal of a target wind turbine unit in real time, and preprocessing the unit vibration signal to extract N candidate rotation speeds corresponding to the target wind turbine unit at the current moment.

[0070] S302, in response to the state information indicating that the target wind turbine set is in a grid-connected state, obtaining a first speed signal of the target wind turbine set collected by the proximity switch, and obtaining a second speed signal of the target wind turbine set collected by the converter.

[0071] S303, determining a first speed corresponding to the target wind turbine generator set at the current moment according to the first speed signal, and determining a second speed corresponding to the target wind turbine generator set at the current moment according to the second speed signal.

[0072] S304: Determine a speed reference interval corresponding to the current moment according to the first speed, the second speed, and a preset first offset corresponding to the target wind turbine generator set at the current moment.

[0073] For example, the speed reference interval corresponding to 8:00:00 is determined according to the first speed corresponding to 8:00:00, the second speed, and the preset first offset.

[0074] The minimum value of the speed reference interval is set to the difference between the minimum value of the first speed and the second speed and the first offset, and the maximum value of the speed reference interval is set to the sum of the maximum value of the first speed and the second speed and the first offset. For example, the first offset is set to 1, and the speed reference interval is expressed as:

[0075] [min(first speed, second speed)-1, max(first speed, second speed)+1]

[0076] S305 , extracting one candidate speed that is within the speed reference interval from the N candidate speeds corresponding to the current moment as the third speed corresponding to the current moment.

[0077] The priority of obtaining each candidate speed is determined in descending order according to the target peak frequency corresponding to the current moment. The priority is used to indicate the order of comparison between each candidate speed and the speed reference interval. The candidate speeds are compared with the speed reference interval in turn according to the priority, and the first candidate speed within the speed reference interval is taken as the third speed corresponding to the current moment.

[0078] S306: Determine whether the target wind turbine generator set is in an abnormal rotation speed state at the current moment according to the second rotation speed and the third rotation speed.

[0079] Obtain the difference between the second speed and the third speed corresponding to the target wind turbine at the current moment, and obtain the absolute value of the difference as the first absolute value, and determine whether the first absolute value is greater than a first preset threshold; if it is determined that the first absolute value is greater than the first preset threshold, determine that the target wind turbine is in an abnormal speed state at the current moment.

[0080] The first preset threshold may be set according to actual conditions. For example, the first preset threshold may be set to 0.5.

[0081] S307, in response to determining that the speed state of the target wind turbine at the current moment is an abnormal speed state, and monitoring that the duration of the abnormal speed state exceeds a preset duration, triggering an abnormal speed alarm.

[0082] The embodiment of the present application does not require the installation of additional hardware equipment on the existing wind turbine set. By utilizing the principle that the triple frequency component of the unit speed can be accurately reflected in the unit vibration information, an accurate speed signal can be obtained by extracting the vibration signal and performing a spectrum analysis on it, thereby reducing hardware cost and installation complexity. The present application can effectively determine the accuracy of the speed signal in the grid-connected state. By monitoring the abnormal speed state and triggering an early warning, timely measures can be taken to deal with abnormal situations, thereby reducing the incidence of equipment failures and extending the service life of the equipment.

[0083] Figure 4 is a schematic diagram of an exemplary implementation of a method for an abnormal speed alarm of a wind turbine generator set corresponding to a target wind turbine generator set in a non-grid-connected state shown in the present application, such as Figure 4 As shown, the abnormal speed alarm method of the wind turbine generator set includes the following steps:

[0084] S401, acquiring a unit vibration signal of a target wind turbine unit in real time, and preprocessing the unit vibration signal to extract N candidate rotation speeds corresponding to the target wind turbine unit at the current moment.

[0085] S402: In response to the state information indicating that the target wind turbine generator set is in a non-grid-connected state, a first speed signal of the target wind turbine generator set collected by a proximity switch is acquired.

[0086] S403: Determine a first rotational speed corresponding to the target wind turbine set at the current moment according to the first rotational speed signal.

[0087] S404: Determine a speed reference interval corresponding to the current moment according to a first speed corresponding to the target wind turbine generator system at the current moment and a preset second offset.

[0088] For example, the speed reference interval corresponding to 8:00:00 is determined according to the first speed corresponding to 8:00:00 and the preset second offset.

[0089] The minimum value of the speed reference interval is set to the difference between the first speed and the second offset, and the maximum value of the speed reference interval is set to the sum of the first speed and the second offset. For example, the first offset is set to 1, and the speed reference interval is expressed as:

[0090] [First speed -1, first speed +1]

[0091] S405 , extracting one candidate speed that is within the speed reference interval from the N candidate speeds corresponding to the current moment as the third speed corresponding to the current moment.

[0092] The priority of obtaining each candidate speed is determined in descending order according to the target peak frequency corresponding to the current moment. The priority is used to indicate the order of comparison between each candidate speed and the speed reference interval. The candidate speeds are compared with the speed reference interval in turn according to the priority, and the first candidate speed within the speed reference interval is taken as the third speed corresponding to the current moment.

[0093] S406: Determine whether the target wind turbine generator set is in an abnormal rotation speed state at the current moment according to the first rotation speed and the third rotation speed.

[0094] Obtain the difference between the first speed and the third speed corresponding to the target wind turbine set at the current moment, and obtain the absolute value of the difference as the second absolute value; determine whether the second absolute value is greater than a second preset threshold; if it is determined that the second absolute value is greater than the second preset threshold, determine that the target wind turbine set is in an abnormal speed state at the current moment.

[0095] The second preset threshold may be set according to actual conditions. For example, the second preset threshold may be set to 0.3.

[0096] S407, in response to determining that the speed state of the target wind turbine at the current moment is an abnormal speed state, and monitoring that the duration of the abnormal speed state exceeds a preset duration, triggering an abnormal speed alarm.

[0097] The embodiment of the present application does not require the installation of additional hardware equipment on the existing wind turbine set. It utilizes the principle that the triple frequency component of the unit speed can be accurately reflected in the unit vibration information. By extracting the vibration signal and performing a spectrum analysis on it, an accurate speed signal can be obtained, thereby reducing hardware costs and installation complexity. The present application can effectively determine the accuracy of the speed signal in a non-grid-connected state. By monitoring the abnormal speed state and triggering an early warning, timely measures can be taken to deal with abnormal situations, thereby reducing the incidence of equipment failures and extending the service life of the equipment.

[0098] Figure 5 Schematic diagram of a wind turbine abnormal speed alarm device shown in the present application, such as Figure 5 As shown, the abnormal speed alarm device 500 of the wind turbine generator system includes a first acquisition module 501, a second acquisition module 502, a judgment module 503 and an alarm module 504, wherein:

[0099] The first acquisition module 501 is used to acquire the unit vibration signal of the target wind turbine in real time, and pre-process the unit vibration signal to extract N candidate rotation speeds corresponding to the target wind turbine at the current moment.

[0100] The second acquisition module 502 is used to determine the speed-related signal corresponding to the target wind turbine according to the state information of the target wind turbine, and determine the relevant speed corresponding to the target wind turbine at the current moment according to the speed-related signal, wherein the state information is the grid-connected state or the non-grid-connected state.

[0101] The judgment module 503 is used to judge whether the target wind turbine generator set is in an abnormal speed state at the current moment according to the N candidate speeds and the related speeds corresponding to the target wind turbine generator set at the current moment.

[0102] The alarm module 504 is used to trigger an abnormal speed alarm in response to determining that the speed state of the target wind turbine set at the current moment is an abnormal speed state and monitoring that the duration of the abnormal speed state exceeds a preset duration.

[0103] This device does not require the installation of additional hardware equipment on the existing wind turbine set. It uses the principle that the triple frequency component of the unit speed can be accurately reflected in the unit vibration information. By extracting the vibration signal and performing spectral analysis on it, an accurate speed signal can be obtained, reducing hardware costs and installation complexity. This application allows accurate judgment under different operating conditions, and can effectively judge the accuracy of the speed signal whether in non-grid-connected conditions or in grid-connected conditions, thereby enhancing the applicability and stability under various working conditions. By monitoring the abnormal speed state and triggering an early warning, timely measures can be taken to deal with abnormal situations, reduce the incidence of equipment failures, and extend the service life of the equipment.

[0104] According to one embodiment of the present application, the first acquisition module 501 is also used to: sample the vibration signal of the unit to obtain the sampling signal corresponding to the current moment; filter and Fourier decompose the sampling signal to convert the sampling signal from a time domain signal to a frequency domain signal; identify multiple peak frequencies included in the frequency domain signal, and sort the multiple peak frequencies from large to small, and obtain the first N peak frequencies as the target peak frequencies corresponding to the frequency domain signal; based on the functional relationship between frequency and speed, obtain the speed corresponding to each target peak frequency corresponding to the frequency domain signal as the candidate speed corresponding to the target wind turbine at the current moment.

[0105] According to one embodiment of the present application, in response to the status information indicating that the target wind turbine is in a grid-connected state, the second acquisition module 502 is further used to: obtain a first speed signal of the target wind turbine collected by the proximity switch, and obtain a second speed signal of the target wind turbine collected by the converter; determine a first speed corresponding to the target wind turbine at the current moment according to the first speed signal, and determine a second speed corresponding to the target wind turbine at the current moment according to the second speed signal.

[0106] According to one embodiment of the present application, in response to the status information indicating that the target wind turbine is in a grid-connected state, the judgment module 503 is further used to: determine the speed reference interval corresponding to the current moment according to the first speed, the second speed and the preset first offset corresponding to the target wind turbine at the current moment; extract one candidate speed located within the speed reference interval from the N candidate speeds corresponding to the current moment as the third speed corresponding to the current moment; and judge whether the target wind turbine is in an abnormal speed state at the current moment according to the second speed and the third speed.

[0107] According to one embodiment of the present application, the judgment module 503 is also used to: obtain the difference between the second speed and the third speed corresponding to the target wind turbine at the current moment, and obtain the absolute value of the difference as the first absolute value; determine whether the first absolute value is greater than a first preset threshold; in response to the judgment that the first absolute value is greater than the first preset threshold, determine that the target wind turbine is in an abnormal speed state at the current moment.

[0108] According to one embodiment of the present application, in response to the status information indicating that the target wind turbine is in a non-grid-connected state, the second acquisition module 502 is further used to: obtain a first speed signal of the target wind turbine collected by the proximity switch; and determine a first speed corresponding to the target wind turbine at the current moment based on the first speed signal.

[0109] According to one embodiment of the present application, in response to the status information indicating that the target wind turbine is in a non-grid-connected state, the judgment module 503 is further used to: determine the speed reference interval corresponding to the current moment according to the first speed corresponding to the target wind turbine at the current moment and a preset second offset; extract one candidate speed located within the speed reference interval from the N candidate speeds corresponding to the current moment as the third speed corresponding to the current moment; and judge whether the target wind turbine is in an abnormal speed state at the current moment according to the first speed and the third speed.

[0110] According to one embodiment of the present application, the judgment module 503 is also used to: obtain the difference between the first speed and the third speed corresponding to the target wind turbine at the current moment, and obtain the absolute value of the difference as the second absolute value; determine whether the second absolute value is greater than the second preset threshold; in response to the judgment that the second absolute value is greater than the second preset threshold, determine that the target wind turbine is in an abnormal speed state at the current moment.

[0111] According to one embodiment of the present application, the judgment module 503 is also used to: determine the priority of obtaining each candidate speed in descending order according to the target peak frequency corresponding to the current moment; compare the candidate speeds with the speed reference interval in turn according to the priority, and take the first candidate speed located in the speed reference interval as the third speed corresponding to the current moment.

[0112] In order to implement the above embodiment, the present application embodiment further proposes an electronic device 600, such as Figure 6 As shown, the electronic device 600 includes: a processor 601 and a memory 602 that is communicatively connected to the processor, the memory 602 stores instructions that can be executed by at least one processor, and the instructions are executed by at least one processor 601 to implement the abnormal speed alarm method for the wind turbine group as shown in the above embodiment.

[0113] In order to implement the above embodiment, the embodiment of the present application further proposes a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to enable a computer to implement the abnormal speed alarm method of a wind turbine set as shown in the above embodiment.

[0114] In order to implement the above embodiment, the embodiment of the present application further proposes a computer program product, including a computer program, which, when executed by a processor, implements the abnormal speed alarm method of the wind turbine set as shown in the above embodiment.

[0115] In the description of the present application, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0116] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0117] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means 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 representations 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, without contradiction.

[0118] It should be noted that in the embodiments of the present application, certain software, components, models and other existing solutions in the industry may be mentioned, and they should be regarded as exemplary. Their purpose is only to illustrate the feasibility of implementing the technical solution of the present application, but it does not mean that the applicant has or will necessarily use the solution.

[0119] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in the field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A method for warning abnormal speed of a wind turbine, characterized in that: include: Acquire a unit vibration signal of a target wind turbine unit in real time, and pre-process the unit vibration signal to extract N candidate rotation speeds corresponding to the target wind turbine unit at a current moment; Determine a speed-related signal corresponding to the target wind turbine group according to the state information of the target wind turbine group, and determine a relevant speed corresponding to the target wind turbine group at the current moment according to the speed-related signal, wherein the state information is a grid-connected state or a non-grid-connected state; According to the N candidate rotation speeds and the relevant rotation speed corresponding to the target wind turbine set at the current moment, determining whether the target wind turbine set is in an abnormal rotation speed state at the current moment; In response to determining that the speed state of the target wind turbine set at the current moment is an abnormal speed state, and monitoring that the duration of the abnormal speed state exceeds a preset duration, an abnormal speed alarm is triggered.

2. The method according to claim 1, characterized in that The preprocessing of the vibration signal of the wind turbine generator set to extract N candidate rotation speeds corresponding to the target wind turbine generator set at the current moment includes: Sampling the vibration signal of the unit to obtain a sampling signal corresponding to the current moment; Performing filtering and Fourier decomposition on the sampled signal to convert the sampled signal from a time domain signal into a frequency domain signal; Identify multiple peak frequencies included in the frequency domain signal, sort the multiple peak frequencies from large to small, and obtain the first N peak frequencies as target peak frequencies corresponding to the frequency domain signal; Based on the functional relationship between frequency and rotational speed, the rotational speed corresponding to each target peak frequency corresponding to the frequency domain signal is obtained as a candidate rotational speed corresponding to the target wind turbine generator set at the current moment.

3. The method according to claim 2, characterized in that In response to the state information indicating that the target wind turbine group is in a grid-connected state, determining a speed-related signal corresponding to the target wind turbine group according to the state information of the target wind turbine group, and determining a relevant speed corresponding to the target wind turbine group at a current moment according to the speed-related signal, including: Acquire a first speed signal of the target wind turbine group acquired by a proximity switch, and acquire a second speed signal of the target wind turbine group acquired by a converter; A first speed corresponding to the target wind turbine set at the current moment is determined according to the first speed signal, and a second speed corresponding to the target wind turbine set at the current moment is determined according to the second speed signal.

4. The method according to claim 3, characterized in that: In response to the state information indicating that the target wind turbine generator set is in a grid-connected state, judging whether the target wind turbine generator set is in an abnormal speed state at the current moment according to the N candidate speeds and the related speeds corresponding to the target wind turbine generator set at the current moment, includes: Determine a speed reference interval corresponding to the current moment according to the first speed, the second speed, and a preset first offset corresponding to the target wind turbine set at the current moment; Extracting one candidate speed that is within the speed reference interval from the N candidate speeds corresponding to the current moment as a third speed corresponding to the current moment; It is determined whether the target wind turbine generator set is in an abnormal rotation speed state at the current moment according to the second rotation speed and the third rotation speed.

5. The method according to claim 4, characterized in that The determining, according to the second speed and the third speed, whether the target wind turbine generator set is in an abnormal speed state at the current moment includes: Obtaining a difference between the second speed and the third speed corresponding to the target wind turbine set at a current moment, and obtaining an absolute value of the difference as a first absolute value; Determining whether the first absolute value is greater than a first preset threshold; In response to determining that the first absolute value is greater than the first preset threshold, it is determined that the target wind turbine set is in an abnormal rotation speed state at the current moment.

6. The method according to claim 2, characterized in that In response to the state information indicating that the target wind turbine generator set is in a non-grid-connected state, determining a speed-related signal corresponding to the target wind turbine generator set according to the state information of the target wind turbine generator set, and determining a relevant speed corresponding to the target wind turbine generator set at a current moment according to the speed-related signal, including: Acquire a first speed signal of the target wind turbine generator set collected by a proximity switch; A first rotational speed corresponding to the target wind turbine set at a current moment is determined according to the first rotational speed signal.

7. The method according to claim 6, characterized in that In response to the state information indicating that the target wind turbine generator set is in a non-grid-connected state, judging whether the target wind turbine generator set is in an abnormal speed state at the current moment according to the N candidate speeds and the related speeds corresponding to the target wind turbine generator set at the current moment, includes: Determine a speed reference interval corresponding to the current moment according to the first speed corresponding to the target wind turbine set at the current moment and a preset second offset; Extracting one candidate speed that is within the speed reference interval from the N candidate speeds corresponding to the current moment as a third speed corresponding to the current moment; It is determined whether the target wind turbine generator set is in an abnormal rotation speed state at the current moment according to the first rotation speed and the third rotation speed.

8. The method according to claim 7, characterized in that The determining, according to the first speed and the third speed, whether the target wind turbine generator set is in an abnormal speed state at the current moment includes: Obtaining a difference between the first speed and the third speed corresponding to the target wind turbine set at a current moment, and obtaining an absolute value of the difference as a second absolute value; Determining whether the second absolute value is greater than a second preset threshold; In response to determining that the second absolute value is greater than the second preset threshold, it is determined that the target wind turbine set is in an abnormal rotation speed state at the current moment.

9. The method according to claim 4 or 7, characterized in that: The extracting one candidate speed located within the speed reference interval from the N candidate speeds corresponding to the current moment as the third speed corresponding to the current moment includes: Determine the priority of obtaining each candidate rotation speed according to the target peak frequency corresponding to the current moment from large to small; The candidate rotational speeds are compared with the rotational speed reference interval in sequence according to the priority, and the first candidate rotational speed that is within the rotational speed reference interval is used as the third rotational speed corresponding to the current moment.

10. A wind turbine abnormal speed alarm device, characterized in that: include: A first acquisition module is used to acquire a unit vibration signal of a target wind turbine in real time, and pre-process the unit vibration signal to extract N candidate rotation speeds corresponding to the target wind turbine at a current moment; A second acquisition module is used to determine a speed-related signal corresponding to the target wind turbine group according to the state information of the target wind turbine group, and determine a relevant speed corresponding to the target wind turbine group at a current moment according to the speed-related signal, wherein the state information is a grid-connected state or a non-grid-connected state; A judgment module, used to judge whether the target wind turbine set is in an abnormal speed state at the current moment according to the N candidate speeds and the relevant speed corresponding to the target wind turbine set at the current moment; The alarm module is used to trigger an abnormal speed alarm in response to determining that the speed state of the target wind turbine set at the current moment is an abnormal speed state and monitoring that the duration of the abnormal speed state exceeds a preset duration.

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