Method, device, equipment and medium for capacity reduction early warning of wind turbine generator

Abstract

The present disclosure provides a wind turbine capacity reduction early warning method, device, equipment and medium, the method comprises: continuously acquiring the initial wind speed and initial active power of the wind turbine in the first time period based on the preset sampling interval, acquiring the mapping relationship between the reference wind speed and the initial reference power of the wind turbine in the first time period, dividing the initial operating parameters into corresponding operating parameter groups according to the data acquisition time of the initial operating parameters, the operating parameter group includes: a plurality of initial operating parameters in a preset time period, determining the target reference power in the preset time period according to the wind speed average between a plurality of initial wind speeds in the preset time period and the mapping relationship, determining that the wind turbine will run in the target time period according to a plurality of initial active powers in the preset time period and the corresponding target reference power, generating the capacity reduction early warning information of the wind turbine in the target time period, thereby, the capacity reduction running state of the wind turbine can be accurately identified.

Description

Technical Field

[0001] This disclosure relates to the field of wind turbine operation monitoring and fault symptom early warning technology, and in particular to a method, device, equipment and medium for early warning of derating of wind turbines. Background Technology

[0002] Derating operation of wind turbines, also known as reduced power operation, refers to the operating mode in which a wind turbine, under specific operating conditions or constraints, actively adjusts its control strategy or passively responds to external limitations, causing its actual output power to be lower than its rated power (i.e., the maximum design output capacity). During operation, wind turbines are affected by various factors (such as mechanical stress, environmental conditions, manufacturing defects, etc.), leading to a gradual decline in turbine performance and even malfunctions. For example, excessively high component temperatures can reduce the power output of the wind turbine, as can excessive turbulence or excessively low ambient temperatures. This damages the performance of the wind turbine.

[0003] Therefore, accurately identifying the derating state of components due to high temperature and external environmental factors will help improve the operating efficiency of wind turbine units. Summary of the Invention

[0004] This disclosure presents a method, device, electronic equipment, storage medium, and computer program product for early warning of derating of wind turbine generators, aiming to at least partially solve technical problems in related technologies.

[0005] The first aspect of this disclosure proposes a method for early warning of derating of wind turbine generators, comprising: continuously acquiring initial operating parameters of the wind turbine generator within a first time period based on a preset sampling interval, wherein the initial operating parameters include: initial wind speed and initial active power, and the initial operating parameters have corresponding data acquisition times; acquiring the mapping relationship between reference wind speed and initial reference power of the wind turbine generator within the first time period; dividing the initial operating parameters into corresponding operating parameter groups according to the data acquisition time, each operating parameter group including: multiple initial operating parameters acquired within a preset time period; determining the target reference power within the preset time period based on the average wind speed and mapping relationship among multiple initial wind speeds within the preset time period; determining that the wind turbine generator will experience derating operation within the target time period based on the multiple initial active power and the corresponding target reference power within the preset time period; and generating derating warning information for the wind turbine generator within the target time period.

[0006] A second aspect of this disclosure provides a derating warning device for wind turbines, comprising: a first acquisition module, configured to continuously acquire initial operating parameters of the wind turbine within a first time period based on a preset sampling interval, wherein the initial operating parameters include initial wind speed and initial active power, and the initial operating parameters have corresponding data acquisition times; a second acquisition module, configured to acquire the mapping relationship between reference wind speed and initial reference power of the wind turbine within the first time period; a division module, configured to divide the initial operating parameters into corresponding operating parameter groups according to the data acquisition time, each operating parameter group including multiple initial operating parameters acquired within a preset time period; a first determination module, configured to determine the target reference power within the preset time period based on the average wind speed and mapping relationship among multiple initial wind speeds within the preset time period; a second determination module, configured to determine that the wind turbine is undergoing derating operation within the target time period based on multiple initial active powers and the corresponding target reference power within the preset time period; and a generation module, configured to generate derating warning information for the wind turbine within the target time period.

[0007] A third aspect of this disclosure provides an electronic device, including: a processor; and a memory for storing processor-executable instructions; wherein the processor is configured to execute instructions to implement a derating warning method for wind turbine generators.

[0008] The fourth aspect of this disclosure provides a computer-readable storage medium that, when the instructions in the computer-readable storage medium are executed by a processor of an electronic device, enables the electronic device to perform a derating warning method for wind turbine generators.

[0009] The fifth aspect of this disclosure provides a computer program product, including a computer program, characterized in that the computer program is executed by a processor as a method for early warning of derating of wind turbine generators.

[0010] The wind turbine derating warning method, device, electronic equipment, storage medium, and computer program product proposed in this embodiment have at least the following beneficial effects: Initial operating parameters of the wind turbine are continuously acquired within a first time period based on a preset sampling interval. These initial operating parameters include initial wind speed and initial active power. Each initial operating parameter has a corresponding data acquisition time. The mapping relationship between the reference wind speed and the initial reference power of the wind turbine within the first time period is obtained. Based on the data acquisition time, the initial operating parameters are divided into corresponding operating parameter groups. Each operating parameter group includes multiple initial operating parameters acquired within a preset time period. Based on the average wind speed and mapping relationship among multiple initial wind speeds within a preset time period, the target reference power within the preset time period is determined. Based on multiple initial active power and corresponding target reference power within the preset time period, the de-capacity operation of the wind turbine is determined within the target time period, generating de-capacity warning information for the wind turbine within the target time period. This allows for accurate identification of the de-capacity operation status of the wind turbine, providing more reasonable reference information for operation and maintenance personnel, helping to reduce power loss, thereby improving the working efficiency of the wind turbine and promoting the transformation of the unit from planned maintenance and fault maintenance to condition-based maintenance.

[0011] Additional aspects and advantages of this disclosure will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this disclosure. Attached Figure Description

[0012] The above and / or additional aspects and advantages of this disclosure will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, in which:

[0013] Figure 1 This is a flowchart illustrating a derating warning method for wind turbines according to the first embodiment of this disclosure;

[0014] Figure 2 This is a flowchart illustrating a derating warning method for wind turbines according to a second embodiment of this disclosure;

[0015] Figure 3 This is a flowchart illustrating a derating warning method for wind turbines according to a third embodiment of this disclosure;

[0016] Figure 4 This is a schematic diagram of the interface for wind turbine derating warning according to an embodiment of the present disclosure;

[0017] Figure 5 This is a block diagram of a derating warning device for a wind turbine generator as disclosed in this disclosure;

[0018] Figure 6A block diagram of an exemplary electronic device suitable for implementing embodiments of the present disclosure is shown. Detailed Implementation

[0019] Embodiments of this disclosure are described in detail below, with examples of embodiments illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are used only to explain this disclosure, and should not be construed as limiting this disclosure. Rather, embodiments of this disclosure include all variations, modifications, and equivalents falling within the spirit and scope of the appended claims.

[0020] It should be noted that the execution subject of the wind turbine derating warning method in this embodiment can be the wind turbine derating warning device. The device can be implemented by software and / or hardware. The device can be configured in an electronic device, which may include, but is not limited to, a terminal, a server, etc.

[0021] It should be noted that the acquisition, storage, use, and processing of information in this disclosed technical solution comply with the relevant provisions of national laws and regulations and do not violate public order and good morals.

[0022] Figure 1 This is a flowchart illustrating a derating warning method for wind turbines according to the first embodiment of this disclosure, as shown below. Figure 1 As shown, the method includes:

[0023] S101: Based on a preset sampling interval, continuously acquire the initial operating parameters of the wind turbine within the first time period. The initial operating parameters include: initial wind speed and initial active power. The initial operating parameters have corresponding data acquisition times.

[0024] The first time period can be, for example, 1 day, 1 week, etc., and there are no restrictions on this.

[0025] The preset sampling interval refers to the time interval between two adjacent data acquisition times. This preset sampling interval can be, for example, 1 minute, 1 second, etc., and there is no restriction on it.

[0026] The initial operating parameters include the initial wind speed and initial active power of the wind turbine in the first time period, which are collected based on the preset sampling interval.

[0027] The initial operating parameter acquisition time is the data acquisition time, and the time difference between two consecutive initial operating parameter acquisition times is the preset sampling interval.

[0028] In this embodiment of the disclosure, the initial operating parameters of the wind turbine can be continuously acquired by the sensor at a preset sampling interval within a first time period, or the data of the wind turbine's Supervisory Control and Data Acquisition (SCADA) system can be directly acquired. However, due to problems such as sensor failure and network congestion leading to data anomalies or missing data, it is necessary to preprocess the acquired real-time data to remove dirty data and interpolate or delete missing data in order to obtain the initial operating parameters. There are no restrictions on this.

[0029] In some embodiments, after collecting the initial operating parameters of the wind turbine in the first time period, the initial wind speed and initial active power can be time-aligned, and then the initial operating parameters with initial active power less than the power threshold can be deleted, thereby deleting the operating parameters that are in a shutdown state.

[0030] In this embodiment of the disclosure, after obtaining the initial operating power and initial wind speed of the wind turbine in the first time period, in order to improve the diversity of data and to fill in the missing power values, a continuous interpolation model that can be used for prediction can be constructed through known data points (wind speed and power output). This model can predict the active power under unknown wind speed. Different interpolation orders can be selected to balance the accuracy and smoothness of interpolation. The interpolation methods mainly involve polynomial interpolation and spline interpolation.

[0031] (1) Linear interpolation (kind=1): Linear interpolation is the simplest interpolation method. It is based on the assumption that the change of data between two adjacent data points is linear, that is, a line directly connects the two points.

[0032] (2) Quadratic interpolation (kind=2): Quadratic interpolation assumes that the variation between data points conforms to a quadratic polynomial. It smoothly connects three data points by fitting a quadratic curve. Compared with linear interpolation, quadratic interpolation can capture the curve shape between data points and is suitable for situations where the data changes are relatively smooth but still contain some curvature.

[0033] (3) Cubic interpolation (kind=3): Cubic interpolation uses a cubic polynomial to fit the interpolation curve between every two data points. Compared with quadratic interpolation, cubic interpolation not only ensures a smooth transition between every two data points, but also ensures the continuity of the first and second derivatives of the curve at the interpolation points.

[0034] S102: Obtain the mapping relationship between the reference wind speed and the initial reference power of the wind turbine in the first time period.

[0035] There is a first mapping relationship between the reference wind speed and the initial reference power of the wind turbine in the first time period. This first mapping relationship can be characterized by plotting the reference wind speed-power curve of the wind turbine in the first time period.

[0036] In other words, in this embodiment of the present disclosure, the reference wind speed-power curve of the wind turbine in the first time period can be obtained, so that the mapping relationship between the reference wind speed and the initial reference power of the wind turbine in the first time period can be read from the reference wind speed-power curve, without any limitation.

[0037] S103: Based on the data acquisition time, the initial operating parameters are divided into corresponding operating parameter groups. Each operating parameter group includes multiple initial operating parameters acquired within a preset time period.

[0038] Each set of operating parameters includes multiple initial operating parameters collected over a preset time period.

[0039] The preset time period is longer than the preset sampling interval. The preset time period can be, for example, 10 minutes, and there is no restriction on it.

[0040] In other words, in this embodiment of the present disclosure, after collecting multiple initial operating parameters of the wind turbine within a first time period based on a preset time interval, the initial operating parameters of adjacent preset sampling intervals can be divided into an operating parameter group according to the data collection time of each initial operating parameter. For example, if the preset sampling interval is 1 second and the preset time period is 10 minutes, the multiple initial operating parameters collected every 10 minutes can be divided into the same operating parameter group according to the data collection time corresponding to each operating parameter. There is no limitation on this.

[0041] S104: Determine the target reference power within the preset time period based on the average wind speed and mapping relationship among multiple initial wind speeds within the preset time period.

[0042] In this embodiment of the disclosure, after the initial operating parameters are divided into corresponding operating parameter groups according to the data acquisition time, the target reference power within the preset time period can be determined based on the average wind speed and mapping relationship between multiple initial wind speeds within the preset time period.

[0043] Specifically, in this embodiment of the present disclosure, the average wind speed among multiple initial wind speeds in the operating parameters within a preset time period may be determined, and the target reference power corresponding to the average wind speed may be read from the reference wind speed-power curve based on the average wind speed.

[0044] S105: Based on multiple initial active power and corresponding target reference power within a preset time period, determine whether the wind turbine will operate at reduced capacity within the target time period.

[0045] In this embodiment of the disclosure, after determining the target reference power within a preset time period, the wind turbine can be determined to operate at reduced capacity within the target time period based on multiple initial active power and corresponding target reference power within the preset time period.

[0046] Optionally, in some embodiments, determining that the wind turbine is de-capacitated based on multiple initial active power values ​​and corresponding target reference power within a preset time period can be achieved by determining a first power average among multiple initial active power values ​​within each preset time period, determining a first power difference between the target reference power and the first power average within each preset time period, determining a power ratio between the first power difference and the target reference power within each preset time period, and determining that the wind turbine is de-capacitated within a target time period based on the power ratio within each preset time period.

[0047] In other words, in this embodiment of the present disclosure, a first power average among multiple initial active power values ​​in the operating parameters of a preset time period can be determined, then a first power difference between the target reference power and the first power average within each preset time period can be determined, and the power ratio between the first power difference and the target reference power within each preset time period can be determined respectively. This power ratio is the performance loss rate of the wind turbine within the preset time period, and the performance loss rate can be determined as follows:

[0048] Performance loss rate = (target reference power - mean first power) / target reference power * 100%;

[0049] In this embodiment of the disclosure, after determining the performance loss rate of the wind turbine within a preset time period, it can be determined that the wind turbine will operate at reduced capacity within a target time period based on the performance loss rate.

[0050] The target time period is a continuous preset number of preset time periods.

[0051] Optionally, in some embodiments, determining that the wind turbine will operate at reduced capacity within a target time period based on multiple initial active power values ​​and corresponding target reference power within a preset time period can be achieved by determining the time and value between multiple consecutive preset time periods if the power ratio is greater than a ratio threshold within a consecutive preset number of preset time periods. If the time and value are greater than the time threshold, it is determined that the wind turbine will operate at reduced capacity within the target time period, wherein the target time period is a consecutive preset number of preset time periods.

[0052] In other words, in this embodiment of the present disclosure, if the power ratio is greater than the ratio threshold for a single consecutive preset number of preset time periods, and the cumulative time and value of the preset number of preset time periods in the first time period are greater than the time threshold, then the target time period for derating operation can be determined to be the preset number of preset time periods.

[0053] For example, if the preset time period is 10 minutes, the preset quantity is 6, and the time threshold is 180 minutes, then if each power ratio determined within a consecutive period of more than 60 minutes is greater than the ratio threshold, and the cumulative sum within the first time period exceeds 180 minutes, then it can be determined that the wind turbine is operating at reduced capacity within the target time period.

[0054] S106: Generate derating warning information for wind turbine units within the target time period.

[0055] Among them, the derating warning information can be used to alert wind turbine units to derating during a target time period, thereby reminding business personnel to promptly investigate potential faults in the operation of wind turbine units and avoid potential risks of wind turbine power generation loss.

[0056] In this embodiment, the initial operating parameters of the wind turbine are continuously acquired within a first time period based on a preset sampling interval. These initial operating parameters include initial wind speed and initial active power, each with a corresponding data acquisition time. The mapping relationship between the reference wind speed and the initial reference power of the wind turbine within the first time period is obtained. Based on the data acquisition time, the initial operating parameters are divided into corresponding operating parameter groups. Each operating parameter group includes multiple initial operating parameters acquired within a preset time period. Based on the average wind speed and mapping relationship among the multiple initial wind speeds within the preset time period, the target reference power within the preset time period is determined. Based on the multiple initial active powers within the preset time period and the corresponding target reference power, it is determined that the wind turbine is undergoing derating operation within the target time period. Derating warning information for the wind turbine within the target time period is generated. This allows for accurate identification of the wind turbine's derating operation status, providing more reasonable reference information for maintenance personnel, helping to reduce power loss, thereby improving the working efficiency of the wind turbine and promoting the transformation of the unit from planned maintenance and fault maintenance to condition-based maintenance.

[0057] Figure 2 This is a flowchart illustrating a derating warning method for wind turbines according to a second embodiment of this disclosure, as shown below. Figure 2 As shown, the method includes:

[0058] S201: Based on a preset sampling interval, the initial operating parameters of the wind turbine are continuously acquired within the first time period. The initial operating parameters include the initial wind speed and the initial active power. The initial operating parameters have corresponding data acquisition times.

[0059] S202: Obtain the mapping relationship between the reference wind speed and the initial reference power of the wind turbine in the first time period.

[0060] S203: Based on the data acquisition time, the initial operating parameters are divided into corresponding operating parameter groups. Each operating parameter group includes multiple initial operating parameters acquired within a preset time period.

[0061] S204: Determine the target reference power within the preset time period based on the average wind speed and mapping relationship among multiple initial wind speeds within the preset time period.

[0062] S205: Based on multiple initial active power and corresponding target reference power within a preset time period, determine whether the wind turbine will operate at reduced capacity within the target time period.

[0063] For a detailed description of S201-S205, please refer to the above embodiments, which will not be repeated here.

[0064] S206: If it is determined that the wind turbine will operate at reduced capacity within the target time period, obtain the turbulence intensity value, other early warning information and nacelle temperature of the wind turbine within the target time period.

[0065] In this embodiment of the disclosure, when it is determined that the wind turbine is operating at reduced capacity within a target time period, the turbulence intensity value, other early warning information, and nacelle temperature of the wind turbine within the target time period can be obtained.

[0066] In this embodiment of the disclosure, other warning information includes at least one of the following: over-temperature warning information for generator drive-end bearing, over-temperature warning information for generator non-drive-end bearing, over-temperature warning information for gearbox oil sump, over-temperature warning information for gearbox high-speed shaft drive-end bearing, over-temperature warning information for gearbox high-speed shaft non-drive-end bearing, over-temperature warning information for gearbox intermediate shaft drive-end bearing, over-temperature warning information for gearbox intermediate shaft non-drive-end bearing, over-temperature warning information for inverter outlet valve, and over-temperature warning information for cabin temperature.

[0067] Turbulence intensity is the degree of fluctuation in wind speed and can be used to describe the instability of wind speed in a wind field. There are various methods for calculating turbulence intensity, among which commonly used methods include the standard deviation method, the variance method, and the turbulence kinetic energy method.

[0068] Standard deviation is a statistical indicator that measures the dispersion of data, representing the degree of fluctuation in wind speed data. It requires a sample of wind speed measurements and a specified time period for calculation. The formula for calculating standard deviation is as follows:

[0069] Turbulence intensity value = Standard deviation of wind speed / Average wind speed;

[0070] In other words, in this embodiment of the disclosure, the standard deviation of wind speed and the average wind speed of the wind turbine in the target time period can be determined, the ratio between the standard deviation of wind speed and the average wind speed can be determined, and the ratio can be determined as the turbulence intensity value.

[0071] S207: Determine the reason for the wind turbine's de-capacity operation during the target time period based on at least one of the following: the turbulence intensity value of the wind turbine during the target time period, other early warning information, and the nacelle temperature.

[0072] In this embodiment of the disclosure, when it is determined that the wind turbine is operating at reduced capacity during a target time period, after obtaining the turbulence intensity value, other early warning information and nacelle temperature of the wind turbine during the target time period, the operating cause of the wind turbine operating at reduced capacity during the target time period can be determined based on at least one of the turbulence intensity value, other early warning information and nacelle temperature of the wind turbine during the target time period, so that corresponding remedial measures can be taken based on the operating cause.

[0073] Optionally, in some embodiments, the reason for the wind turbine's derating operation during the target time period is determined based on at least one of the following: the turbulence intensity value of the wind turbine during the target time period, other warning information, and nacelle temperature. This includes: if the average nacelle temperature during the target time period is less than a temperature threshold, the reason is determined to be icing-induced derating operation; or if there is an over-temperature warning for the inverter outlet valve during the target time period, the reason is determined to be inverter over-temperature derating operation; or if there is an over-temperature warning for the outside nacelle temperature during the target time period, the reason is determined to be outside-temperature derating operation; or if there is an over-temperature warning for the generator drive during the target time period... If there is an over-temperature warning for the driving end bearing or the non-driving end bearing of the generator, the cause of operation is determined to be: generator over-temperature derating operation. Alternatively, if there are over-temperature warnings for the gearbox oil sump, the high-speed shaft drive end bearing, the high-speed shaft non-driving end bearing, the intermediate shaft drive end bearing, and the intermediate shaft non-driving end bearing within the target time period, the cause of operation is determined to be: gearbox over-temperature derating operation. Or, if the average turbulence intensity value within the target time period is greater than the turbulence intensity threshold, the cause of operation is determined to be: turbulence derating operation.

[0074] In this embodiment of the disclosure, see Figure 3 , Figure 3 This is a flowchart illustrating a derating warning method for wind turbines according to the third embodiment of this disclosure. Specifically, if it is determined that the power ratio is greater than a threshold value for a consecutive preset number of preset time periods, then the time and value between multiple consecutive preset number of preset time periods are determined. If the time and value are greater than the time threshold, it is determined that the wind turbine is operating at reduced capacity within a target time period. This can be determined by the following reasons: if the average temperature of the nacelle within the target time period is less than a temperature threshold (e.g., 1), the reason for operation is determined to be icing-induced derating operation; or if an over-temperature warning message for the inverter outlet valve is found within the target time period, the reason for operation is determined to be over-temperature derating operation; or if an over-temperature warning message for the outside nacelle is found within the target time period, the reason for operation is determined to be... If the following conditions are met: 1) Overheating of the external cabin temperature leads to de-capacity operation; or 2) Overheating warnings are detected for the generator drive-end bearing or generator non-drive-end bearing within the target time period, the cause of operation is determined to be: Generator overheating de-capacity operation; 3) Overheating warnings are detected for the gearbox oil sump, gearbox high-speed shaft drive-end bearing, gearbox high-speed shaft non-drive-end bearing, gearbox intermediate shaft drive-end bearing, and gearbox intermediate shaft non-drive-end bearing within the target time period, the cause of operation is determined to be: Gearbox overheating de-capacity operation; or 4) The average turbulence intensity value within the target time period is greater than the turbulence intensity threshold (e.g., 0.17), the cause of operation is determined to be: Turbulent de-capacity operation.

[0075] In this embodiment of the disclosure, after determining the cause of the wind turbine's de-capacity operation within the target time period, the specific cause can be further determined based on the cause, and corresponding countermeasures can be taken according to the corresponding maintenance recommendations. See Table 1, which is a comparison table of the causes of wind turbine de-capacity operation and maintenance recommendations:

[0076] Table 1

[0077]

[0078] In this embodiment of the disclosure, if the reason for the wind turbine's de-capacity operation during the target time period cannot be determined, only a wind turbine de-capacity warning message is generated.

[0079] S208: Determine the power loss of the wind turbine during the target time period.

[0080] In this embodiment of the disclosure, after determining that the wind turbine is de-capacitated during the target time period, the power loss of the wind turbine during the target time period can be determined, thereby achieving precise quantification of the degree of de-capacitance.

[0081] Optionally, in some embodiments, determining the power loss of the wind turbine in the target time period may involve determining a second power average among multiple initial active powers in the target time period, and a reference power average among multiple target reference powers, determining a second power difference between the reference power average and the second power average, determining the product between the second power difference and the target time period, and determining the product as the power loss of the wind turbine in the target time period.

[0082] In other words, in this embodiment of the disclosure, it may involve determining the second power average of multiple initial active powers within a target time period, and the reference power average among multiple target reference powers, in order to determine the loss power p. 损失 = Reference power average - Second power average. If the power loss is greater than 0, then calculate the power loss W for the corresponding period. 损 =p 损失 × Target time period, in ten thousand kilowatt-hours.

[0083] In this embodiment of the disclosure, see Figure 4 , Figure 4 This is a schematic diagram of an interface for wind turbine derating warning according to an embodiment of the present disclosure. Figure 4 It is known that Units 2, 4, and 5 of the power plant all experienced blade icing and reduced capacity operation, with durations of 5 hours, 3.83 hours, and 5.83 hours respectively. Figure 4 The power curve on the right shows that the unit is in a de-capacity operation state. As shown in the time-outside temperature relationship graph in the upper left corner, the outside temperature is less than 1°C during the de-capacity operation period, which causes the unit blades to freeze, thus leading to the unit operating at reduced capacity. The power losses during the de-capacity operation period are 1.68MWh, 3.24MWh and 0.67MWh respectively.

[0084] S209: Generate derating warning information for wind turbine units within the target time period.

[0085] For a detailed description of S209, please refer to the above embodiments, which will not be repeated here.

[0086] In this embodiment, initial operating parameters of the wind turbine are continuously acquired within a first time period based on a preset sampling interval. These initial operating parameters include initial wind speed and initial active power. Each initial operating parameter has a corresponding data acquisition time. A mapping relationship between reference wind speed and initial reference power of the wind turbine within the first time period is obtained. Based on the data acquisition time, the initial operating parameters are divided into corresponding operating parameter groups. Each operating parameter group includes: multiple initial operating parameters acquired within a preset time period; a target reference power within the preset time period is determined based on the average wind speed and mapping relationship among the multiple initial wind speeds within the preset time period; and a target reference power within the preset time period is determined based on the multiple initial active power... The system uses power and a corresponding target reference power to determine if a wind turbine is operating at reduced capacity within a target time period and generates a reduction warning. It can accurately identify the reduced capacity operation status of the wind turbine. If the reduced capacity operation is confirmed, the system acquires the turbulence intensity value, other warning information, and nacelle temperature within that time period. Based on at least one of these factors, the system determines the cause of the reduced capacity operation, enabling appropriate remedial measures to be taken and determining the power loss of the wind turbine within the target time period, thus achieving precise quantification of the reduction degree.

[0087] Figure 5 This is a block diagram of a derating warning device for a wind turbine generator disclosed herein, such as... Figure 5 As shown, the derating warning device 50 for the wind turbine includes:

[0088] The first acquisition module 501 is used to continuously acquire the initial operating parameters of the wind turbine within a first time period based on a preset sampling interval. The initial operating parameters include: initial wind speed and initial active power, and the initial operating parameters have corresponding data acquisition time.

[0089] The second acquisition module 502 is used to acquire the mapping relationship between the reference wind speed and the initial reference power of the wind turbine in the first time period.

[0090] The partitioning module 503 is used to partition the initial operating parameters into corresponding operating parameter groups according to the data acquisition time. Each operating parameter group includes multiple initial operating parameters acquired within a preset time period.

[0091] The first determining module 504 is used to determine the target reference power within the preset time period based on the average wind speed and mapping relationship between multiple initial wind speeds within the preset time period.

[0092] The second determining module 505 is used to determine whether the wind turbine will operate at reduced capacity within a target time period based on multiple initial active power and corresponding target reference power within a preset time period.

[0093] The generation module 506 is used to generate derating warning information for wind turbine units within a target time period.

[0094] In some embodiments of this disclosure, the second determining module 505 is further configured to:

[0095] Determine the first power average among multiple initial active power values ​​within each preset time period;

[0096] Determine the first power difference between the target reference power and the first power average within each preset time period;

[0097] Determine the power ratio between the first power difference and the target reference power within each preset time period;

[0098] Based on the power ratio within each preset time period, the de-capacity operation of the wind turbine unit is determined within the target time period.

[0099] In some embodiments of this disclosure, the second determining module 505 is further configured to:

[0100] If the power ratio is greater than the ratio threshold within a consecutive preset number of preset time periods, then the time and value between multiple consecutive preset number of preset time periods are determined.

[0101] If the time and value are greater than the time threshold, it is determined that the wind turbine will operate at reduced capacity within the target time period, where the target time period is a continuous preset number of preset time cycles.

[0102] In some embodiments of this disclosure, the second determining module 505 is further configured to:

[0103] After determining that the wind turbine will operate at reduced capacity within the target time period based on multiple initial active power and corresponding target reference power within the preset time period, the turbulence intensity value, other early warning information and nacelle temperature of the wind turbine will be obtained within the target time period.

[0104] Based on at least one of the following: the turbulence intensity value of the wind turbine during the target time period, other early warning information, and nacelle temperature, determine the reason for the wind turbine's de-capacity operation during the target time period.

[0105] In some embodiments of this disclosure, other warning information includes at least one of the following:

[0106] Over-temperature warning information for generator drive end bearings, generator non-drive end bearings, gearbox oil sump, gearbox high-speed shaft drive end bearings, gearbox high-speed shaft non-drive end bearings, gearbox intermediate shaft drive end bearings, gearbox intermediate shaft non-drive end bearings, inverter outlet valve, and cabin exterior temperature.

[0107] In some embodiments of this disclosure, the second determining module 505 is further configured to:

[0108] If the average cabin temperature during the target time period is less than the temperature threshold, the cause of operation is determined to be: icing and capacity reduction operation; or

[0109] If an over-temperature warning message for the inverter outlet valve is received within the target time period, the cause of the operation is determined to be: the inverter is operating at reduced capacity due to over-temperature; or

[0110] If an overheating warning for the external temperature occurs within the target time period, the cause of the operation is determined to be: derating operation due to overheating of the external temperature; or

[0111] If an over-temperature warning message for the generator drive-end bearing or the generator non-drive-end bearing exists within the target time period, the cause of the operation is determined to be: generator over-temperature derating operation; or

[0112] If over-temperature warnings are issued for the gearbox oil sump, the high-speed shaft drive end bearing, the high-speed shaft non-drive end bearing, the intermediate shaft drive end bearing, and the intermediate shaft non-drive end bearing within the target time period, then the cause of operation is determined to be: gearbox over-temperature derating operation; or

[0113] If the average value of turbulence intensity within the target time period is greater than the turbulence intensity threshold, then the reason for operation is determined to be: turbulence decompression operation.

[0114] In some embodiments of this disclosure, the second determining module 505 is further configured to:

[0115] After determining that the wind turbine will operate at reduced capacity within the target time period based on multiple initial active power and corresponding target reference power within a preset time period, the power loss of the wind turbine within the target time period is determined.

[0116] In some embodiments of this disclosure, the second determining module 505 is further configured to:

[0117] Determine the second power mean among multiple initial active power values ​​within the target time period, and the reference power mean among multiple target reference power values;

[0118] Determine the second power difference between the reference power mean and the second power mean;

[0119] Determine the product between the second power difference and the target time period;

[0120] The product is determined as the power loss of the wind turbine during the target time period.

[0121] In this embodiment, the initial operating parameters of the wind turbine are continuously acquired within a first time period based on a preset sampling interval. These initial operating parameters include initial wind speed and initial active power, each with a corresponding data acquisition time. The mapping relationship between the reference wind speed and the initial reference power of the wind turbine within the first time period is obtained. Based on the data acquisition time, the initial operating parameters are divided into corresponding operating parameter groups. Each operating parameter group includes multiple initial operating parameters acquired within a preset time period. Based on the average wind speed and mapping relationship among the multiple initial wind speeds within the preset time period, the target reference power within the preset time period is determined. Based on the multiple initial active powers within the preset time period and the corresponding target reference power, it is determined that the wind turbine is undergoing derating operation within the target time period. Derating warning information for the wind turbine within the target time period is generated. This allows for accurate identification of the wind turbine's derating operation status, providing more reasonable reference information for maintenance personnel, helping to reduce power loss, thereby improving the working efficiency of the wind turbine and promoting the transformation of the unit from planned maintenance and fault maintenance to condition-based maintenance.

[0122] To implement the above embodiments, this application also proposes an electronic device, including: 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 derating warning method for wind turbines provided in the foregoing embodiments.

[0123] To implement the above embodiments, this application also proposes a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the wind turbine derating warning method provided in the foregoing embodiments.

[0124] Figure 6 A block diagram of an exemplary electronic device suitable for implementing embodiments of the present disclosure is shown.

[0125] Figure 6 The electronic device 6 shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments disclosed herein.

[0126] like Figure 6 As shown, electronic device 6 is represented in the form of a general-purpose computing device. The components of electronic device 6 may include, but are not limited to: one or more processors or processing units 16, memory 28, and bus 18 connecting different system components (including memory 28 and processing unit 16).

[0127] Bus 18 represents one or more of several bus architectures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of the various bus architectures. For example, these architectures include, but are not limited to, the Industry Standard Architecture (ISA) bus, the Micro Channel Architecture (MAC) bus, the Enhanced ISA bus, the Video Electronics Standards Association (VESA) local bus, and the Peripheral Component Interconnect (PCI) bus.

[0128] Electronic device 6 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by electronic device 6, including volatile and non-volatile media, removable and non-removable media.

[0129] Memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 30 and / or cache memory 32. Electronic device 6 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, storage system 34 may be used to read and write non-removable, non-volatile magnetic media (…). Figure 6 Not shown; usually referred to as a "hard drive".

[0130] although Figure 6Not shown, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk") and an optical disc drive for reading and writing to a removable non-volatile optical disc (e.g., a compact disc read-only memory (CD-ROM), a digital video disc read-only memory (DVD-ROM), or other optical media) may be provided. In these cases, each drive may be connected to bus 18 via one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of the embodiments of this disclosure.

[0131] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28. Such program modules 42 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include an implementation of a network environment. Program modules 42 typically perform the functions and / or methods described in the embodiments of this disclosure.

[0132] Electronic device 6 can also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), and with one or more devices that enable human interaction with electronic device 6, and / or with any device that enables electronic device 6 to communicate with one or more other computing devices (e.g., network card, modem, etc.). This communication can be performed via input / output (I / O) interface 22. Furthermore, electronic device 6 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) via network adapter 20. As shown, network adapter 20 communicates with other modules of electronic device 6 via bus 18. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in conjunction with electronic device 6, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0133] The processing unit 16 executes various functional applications and parameter information determination by running programs stored in the memory 28, such as implementing the derating warning method for business wind turbines mentioned in the foregoing embodiments, or implementing the business data acquisition method mentioned in the foregoing embodiments.

[0134] It should be noted that in the description of this disclosure, the terms "first," "second," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance. Furthermore, in the description of this disclosure, unless otherwise stated, "a plurality of" means two or more.

[0135] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing a particular logical function or process, and the scope of preferred embodiments of this disclosure includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the function involved, as will be understood by those skilled in the art to which embodiments of this disclosure pertain.

[0136] It should be understood that various parts of this disclosure 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 memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0137] Those skilled in the art will understand that all or part of the steps of the methods described in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0138] Furthermore, the functional units in the various embodiments of this disclosure can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0139] The storage media mentioned above can be read-only memory, disk, or optical disk, etc.

[0140] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this disclosure. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0141] Although embodiments of the present disclosure have been shown and described above, it is to be understood that the above embodiments are exemplary and should not be construed as limiting the present disclosure. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present disclosure.

Claims

1. A method for early warning of derating of wind turbine generators, characterized in that, The method includes: The initial operating parameters of the wind turbine are continuously acquired within a first time period based on a preset sampling interval. The initial operating parameters include initial wind speed and initial active power, and the initial operating parameters have corresponding data acquisition times. Obtain the mapping relationship between the reference wind speed and the initial reference power of the wind turbine during the first time period; Based on the data acquisition time, the initial operating parameters are divided into corresponding operating parameter groups, and each operating parameter group includes: multiple initial operating parameters acquired within a preset time period; The target reference power within the preset time period is determined based on the average wind speed among multiple initial wind speeds within the preset time period and the mapping relationship. Based on multiple initial active power values ​​within the preset time period and the corresponding target reference power, it is determined that the wind turbine will undergo derating operation within the target time period, including: Determine the first power average among multiple initial active power values ​​within each preset time period; Determine the first power difference between the target reference power and the average first power value within each preset time period; Determine the power ratio between the first power difference and the target reference power within each preset time period; Based on the power ratio value within each preset time period, it is determined that the wind turbine will operate at reduced capacity within the target time period; If the power ratio is greater than a ratio threshold within a consecutive preset number of preset time periods, then the time and value between the multiple consecutive preset number of preset time periods are determined. If the time and value are greater than a time threshold, it is determined that the wind turbine is operating at reduced capacity within a target time period, wherein the target time period is the number of consecutive preset time cycles. If it is determined that the wind turbine is operating at reduced capacity during the target time period, the turbulence intensity value, other early warning information and nacelle temperature of the wind turbine during the target time period are obtained. Based on at least one of the turbulence intensity value of the wind turbine during the target time period, the other early warning information, and the nacelle temperature, determine the reason for the wind turbine's de-capacity operation during the target time period; Generate derating warning information for the wind turbine during the target time period.

2. The method as described in claim 1, characterized in that, The other warning information includes at least one of the following: Over-temperature warning information for generator drive end bearings, generator non-drive end bearings, gearbox oil sump, gearbox high-speed shaft drive end bearings, gearbox high-speed shaft non-drive end bearings, gearbox intermediate shaft drive end bearings, gearbox intermediate shaft non-drive end bearings, inverter outlet valve, and cabin exterior temperature.

3. The method as described in claim 2, characterized in that, The method of determining the operating cause of the wind turbine's de-capacity operation during the target time period based on at least one of the following: the turbulence intensity value of the wind turbine during the target time period, the other early warning information, and the nacelle temperature, including: If the average cabin temperature during the target time period is less than the temperature threshold, then the reason for the operation is determined to be: icing and capacity reduction operation; or If the inverter outlet valve temperature over-temperature warning information occurs within the target time period, then the cause of operation is determined to be: inverter over-temperature derating operation; or If the above-mentioned overheat warning information for the external temperature occurs within the target time period, then the reason for the operation is determined to be: derating operation due to overheating of the external temperature; or If an over-temperature warning message for the generator drive-end bearing or the generator non-drive-end bearing exists within the target time period, then the cause of operation is determined to be: generator over-temperature derating operation; or If the following warning messages are received within the target time period: gearbox oil sump temperature overheating warning message, gearbox high-speed shaft drive end bearing temperature overheating warning message, gearbox high-speed shaft non-drive end bearing temperature overheating warning message, gearbox intermediate shaft drive end bearing temperature overheating warning message, and gearbox intermediate shaft non-drive end bearing temperature overheating warning message, then the cause of operation is determined to be: gearbox overheating and de-capacity operation; or If the average value of the turbulence intensity within the target time period is greater than the turbulence intensity threshold, then the reason for the operation is determined to be: turbulence decompression operation.

4. The method as described in claim 1, characterized in that, After determining that the wind turbine will operate at reduced capacity within a target time period based on multiple initial active power values ​​within the preset time period and the corresponding target reference power, the method further includes: Determine the power loss of the wind turbine during the target time period.

5. The method as described in claim 4, characterized in that, Determining the power loss of the wind turbine during the target time period includes: Determine the second power average among the multiple initial active powers within the target time period, and the reference power average among the multiple target reference powers; Determine a second power difference between the reference power average and the second power average; Determine the product between the second power difference and the target time period; The product is determined as the amount of electricity lost by the wind turbine during the target time period.

6. A derating warning device for wind turbine generators, characterized in that, The device includes: The first acquisition module is used to continuously acquire the initial operating parameters of the wind turbine within a first time period based on a preset sampling interval. The initial operating parameters include: initial wind speed and initial active power, and the initial operating parameters have corresponding data acquisition time. The second acquisition module is used to acquire the mapping relationship between the reference wind speed and the initial reference power of the wind turbine during the first time period. The partitioning module is used to partition the initial operating parameters into corresponding operating parameter groups according to the data acquisition time. Each operating parameter group includes multiple initial operating parameters acquired within a preset time period. The first determining module is used to determine the target reference power within the preset time period based on the average wind speed among multiple initial wind speeds within the preset time period and the mapping relationship. The second determining module is used to determine whether the wind turbine will operate at reduced capacity within a target time period based on multiple initial active power values ​​within the preset time period and the corresponding target reference power, wherein the determination includes: Determine the first power average among multiple initial active power values ​​within each preset time period; Determine the first power difference between the target reference power and the average first power value within each preset time period; Determine the power ratio between the first power difference and the target reference power within each preset time period; Based on the power ratio value within each preset time period, it is determined that the wind turbine will operate at reduced capacity within the target time period; If the power ratio is greater than a ratio threshold within a consecutive preset number of preset time periods, then the time and value between the multiple consecutive preset number of preset time periods are determined. If the time and value are greater than a time threshold, it is determined that the wind turbine is operating at reduced capacity within a target time period, wherein the target time period is the number of consecutive preset time cycles. If it is determined that the wind turbine is operating at reduced capacity during the target time period, the turbulence intensity value, other early warning information and nacelle temperature of the wind turbine during the target time period are obtained. Based on at least one of the turbulence intensity value of the wind turbine during the target time period, the other early warning information, and the nacelle temperature, determine the reason for the wind turbine's de-capacity operation during the target time period; The generation module is used to generate derating warning information for the wind turbine during the target time period.

7. An electronic device, characterized in that, include: processor; Memory used to store the processor's executable instructions; The processor is configured to execute the instructions to implement the method as described in any one of claims 1-5.

8. A computer-readable storage medium, wherein instructions in the computer-readable storage medium, when executed by a processor of an electronic device, enable the electronic device to perform the method as described in any one of claims 1-5.

9. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the method as described in any one of claims 1-5.

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