Volume reduction early warning method, device and equipment for wind turbine generator and medium

Abstract

The invention provides a wind turbine generator capacity reduction early warning method, device and equipment and a medium, and the method comprises the steps: continuously obtaining the initial wind speed and initial active power of a wind turbine generator within a first time period based on a preset sampling interval, and obtaining a mapping relation between the reference wind speed and initial reference power of the wind turbine generator within the first time period, according to the data acquisition time of the initial operation parameters, the initial operation parameters are divided into corresponding operation parameter groups, the operation parameter groups comprise a plurality of initial operation parameters in a preset time period, target reference power in the preset time period is determined according to a wind speed mean value and a mapping relation among a plurality of initial wind speeds in the preset time period, and the target reference power is used for outputting the target reference power. According to the multiple initial active powers and the corresponding target reference powers in the preset time period, it is determined that the wind turbine generator set is subjected to capacity reduction operation in the target time period, capacity reduction early warning information of the wind turbine generator set in the target time period is generated, and therefore the capacity reduction operation state of the wind turbine generator set can be accurately recognized.

Description

Technical Field

[0001] The present disclosure relates to the technical field of operation monitoring and fault symptom warning of wind turbines, and particularly relates to a method, device, equipment and medium for derating warning of wind turbines. Background Art

[0002] The derating operation of a wind turbine, also known as the derated power operation of a wind turbine, refers to an operation mode in which the wind turbine actively adjusts the control strategy or passively responds to external restrictions under specific working conditions or constraint conditions, so that its actual output power is lower than the rated power (i.e., the designed maximum output capacity). During the operation of the wind turbine, it will be affected by various factors (such as mechanical stress, environmental conditions, manufacturing defects, etc.), resulting in a gradual decline in the performance of the unit and even failures. For example, the power of the wind turbine decreases due to excessive component temperature, and the power of the wind turbine decreases due to excessive turbulence or too low environmental temperature, which damages the performance of the wind turbine.

[0003] Therefore, accurately identifying the derating state caused by component high temperature derating and external environmental factors will help improve the operation efficiency of wind turbines. Summary of the Invention

[0004] The present disclosure provides a method, device, electronic equipment, storage medium and computer program product for derating warning of wind turbines, aiming to solve the technical problems in the related art to at least a certain extent.

[0005] In a first aspect of an embodiment of the present disclosure, a method for derating warning of a wind turbine is proposed, including: continuously obtaining initial operation parameters of the wind turbine within a first time period based on a preset sampling interval, where the initial operation parameters include: initial wind speed and initial active power, and the initial operation parameters have corresponding data acquisition times; obtaining the mapping relationship between the reference wind speed and the initial reference power of the wind turbine within the first time period; dividing the initial operation parameters into corresponding operation parameter groups according to the data acquisition time, and each operation parameter group includes: a plurality of initial operation parameters collected within a preset time period; determining the target reference power within the preset time period according to the wind speed mean value and the mapping relationship between a plurality of initial wind speeds within the preset time period; determining that the wind turbine undergoes derating operation within a target time period according to a plurality of initial active powers and the corresponding target reference power within the preset time period; generating a derating warning information of the wind turbine within the target time period.

[0006] An embodiment of the second aspect of the present disclosure provides a derating warning device for a wind turbine, including: 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, where the initial operating parameters include: an initial wind speed and an initial active power, and the initial operating parameters have corresponding data acquisition times; a second acquisition module, configured to acquire a mapping relationship between a reference wind speed and an 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 times, and each operating parameter group includes: a plurality of initial operating parameters acquired within a preset time period; a first determination module, configured to determine a target reference power within the preset time period according to a wind speed average value among a plurality of initial wind speeds within the preset time period and the mapping relationship; a second determination module, configured to determine that the wind turbine operates with derating within a target time period according to a plurality of initial active powers within the preset time period and the corresponding target reference power; and a generation module, configured to generate a derating warning message of the wind turbine within the target time period.

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

[0008] An embodiment of the fourth aspect of the present disclosure provides a computer-readable storage medium, which, when instructions in the computer-readable storage medium are executed by a processor of an electronic device, enables the electronic device to execute the derating warning method for a wind turbine.

[0009] An embodiment of the fifth aspect of the present disclosure provides a computer program product, including a computer program, characterized in that the computer program is executed by a processor to implement the derating warning method for a wind turbine.

[0010] The method, device, electronic device, storage medium, and computer program product for derating warning of a wind turbine proposed in this embodiment at least have the following beneficial effects: continuously obtain the initial operating parameters of the wind turbine within the first time period based on a preset sampling interval, where 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 within the first time period; divide the initial operating parameters into corresponding operating parameter groups according to the data acquisition time, and each operating parameter group includes: multiple initial operating parameters collected within a preset time period; determine the target reference power within the preset time period according to the wind speed average value and the mapping relationship among the multiple initial wind speeds within the preset time period; determine that the wind turbine operates with derating within the target time period according to the multiple initial active powers and the corresponding target reference power within the preset time period, and generate a derating warning message for the wind turbine within the target time period. Thus, the derating operation state of the wind turbine can be accurately identified, which can provide more reasonable reference information for the operation and maintenance personnel, help reduce power loss, improve the working efficiency of the wind turbine, and promote the transformation of the unit from planned maintenance, fault maintenance to condition-based maintenance.

[0011] Additional aspects and advantages of the present disclosure will be given in part in the following description, become apparent in part from the following description, or be learned through the practice of the present disclosure. Brief Description of the Drawings

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

[0013] Figure 1 is a schematic flowchart of a method for derating warning of a wind turbine according to the first embodiment of the present disclosure;

[0014] Figure 2 is a schematic flowchart of a method for derating warning of a wind turbine according to the second embodiment of the present disclosure;

[0015] Figure 3 is a schematic flowchart of a method for derating warning of a wind turbine according to the third embodiment of the present disclosure;

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

[0017] Figure 5 is a block diagram of a derating warning device for a wind turbine according to the present disclosure;

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

[0019] Embodiments of the present disclosure will be described in detail below. Examples of the embodiments are shown in the accompanying drawings, where 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 by referring to the accompanying drawings are exemplary only for explaining the present disclosure and should not be construed as a limitation of the present disclosure. On the contrary, the embodiments of the present 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 method for de-rating warning of a wind turbine in this embodiment can be a de-rating warning device of the wind turbine. This device can be implemented in software and / or hardware, and this device can be configured in an electronic device, which can include but is not limited to a terminal, a server, etc.

[0021] It should be noted that in the technical solution of the present disclosure, the processes of obtaining, storing, using, processing, etc. of information all comply with the relevant regulations of national laws and regulations and do not violate public order and good customs.

[0022] Figure 1 is a schematic flowchart of the method for de-rating warning of a wind turbine according to the first embodiment of the present disclosure, as Figure 1 shown, the method includes:

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

[0024] The first time period can be, for example, 1 day, one week, etc., and there is no limitation thereto.

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

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

[0027] The data acquisition time point of the initial operating parameters is the data acquisition time, and the time difference between two adjacent data acquisition times of the initial operating parameters is the preset sampling interval.

[0028] In the embodiments of the present disclosure, sensors can be used to continuously obtain the initial operating parameters of the wind turbine at a preset sampling interval within a first time period, or the data of the Supervisory Control And Data Acquisition (SCADA) system of the wind turbine can be directly obtained. Then, due to problems such as sensor failure and network congestion resulting in abnormal or missing data, it is necessary to preprocess the collected real-time data to eliminate dirty data and perform interpolation or deletion processing on missing data to obtain the initial operating parameters, and there is no limitation on this.

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

[0030] In the embodiments of the present disclosure, after obtaining the initial operating power and the initial wind speed of the wind turbine within the first time period, in order to improve the diversity of data and also to fill in the missing power values, a continuous and predictable interpolation model can be constructed through known data points (wind speed and power output), which can predict the active power at unknown wind speeds. 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 between two adjacent data points, the data changes linearly, that is, a straight line is used to connect the two points.

[0032] (2) Quadratic interpolation (kind = 2): Quadratic interpolation assumes that the change between data points conforms to a quadratic polynomial, and a quadratic curve is fitted to smoothly connect three data points. Compared with linear interpolation, quadratic interpolation can capture the curve form between data points and is suitable for situations where the data changes smoothly but still contains some curvature.

[0033] (3) Cubic interpolation (kind = 3): Cubic interpolation uses a cubic polynomial to fit the interpolation curve between each two data points. Compared with quadratic interpolation, cubic interpolation can not only ensure a smooth transition between each two data points, but also ensure 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 within the first time period.

[0035] Among them, there is a first mapping relationship between the reference wind speed and the initial reference power of the wind turbine within the first time period, and this first mapping relationship can be characterized by plotting the reference wind speed-power curve of the wind turbine within the first time period.

[0036] That is to say, in the embodiments of the present disclosure, it is possible to obtain the reference wind speed-power curve of the wind turbine within the first time period, so that the mapping relationship between the reference wind speed and the initial reference power of the wind turbine within the first time period can be read from the reference wind speed-power curve, and there is no limitation thereto.

[0037] S103: Divide the initial operating parameters into corresponding operating parameter groups according to the data acquisition time, and each operating parameter group includes: a plurality of initial operating parameters collected within a preset time period.

[0038] Among them, each operating parameter group includes: a plurality of initial operating parameters collected within a preset time period.

[0039] Among them, the preset time period is greater than the preset sampling interval, and the preset time period can be, for example, 10 minutes, and there is no limitation thereto.

[0040] That is to say, in the embodiments of the present disclosure, after collecting a plurality of initial operating parameters of the wind turbine within the first time period based on the preset time interval, the initial operating parameters of adjacent preset numbers of preset sampling intervals can be divided into one operating parameter group according to the data acquisition time of each initial operating parameter. For example, if the preset sampling interval is 1 s and the preset time period is 10 minutes, then a plurality of initial operating parameters collected every 10 minutes can be divided into the same operating parameter group according to the data acquisition time corresponding to each operating parameter, and there is no limitation thereto.

[0041] S104: Determine the target reference power within the preset time period according to the wind speed mean value and the mapping relationship among the plurality of initial wind speeds within the preset time period.

[0042] In the embodiments of the present disclosure, after dividing the initial operating parameters into corresponding operating parameter groups according to the data acquisition time, the target reference power within the preset time period can be determined according to the wind speed mean value and the mapping relationship among the plurality of initial wind speeds within the preset time period.

[0043] Specifically, in the embodiments of the present disclosure, it is possible to determine the wind speed mean value among the plurality of initial wind speeds in the operating parameters within the preset time period, and read the target reference power corresponding to the wind speed mean value from the reference wind speed-power curve.

[0044] S105: Determine that the wind turbine operates with derating within the target time period according to the plurality of initial active powers and the corresponding target reference powers within the preset time period.

[0045] In the embodiments of the present disclosure, after determining the target reference power within a preset time period, it is possible to determine that the wind turbine undergoes derated operation within the target time period according to a plurality of initial active powers and the corresponding target reference power within the preset time period.

[0046] Optionally, in some embodiments, determining that the wind turbine undergoes derated operation according to a plurality of initial active powers and the corresponding target reference power within a preset time period may be to determine a first power mean value between the plurality of initial active powers within each preset time period, respectively determine a first power difference between the target reference power and the first power mean value within each preset time period, respectively determine a power ratio between the first power difference and the target reference power within each preset time period, and determine that the wind turbine undergoes derated operation within the target time period according to the power ratio within each preset time period.

[0047] That is to say, in the embodiments of the present disclosure, it may be to determine a first power mean value between a plurality of initial active powers among the operating parameters of the preset time period, then determine a first power difference between the target reference power and the first power mean value within each preset time period, and respectively determine a power ratio between the first power difference and the target reference power within each preset time period. This power ratio is the performance loss rate of the wind turbine within the preset time period. The determination method of the performance loss rate can be expressed as:

[0048] Performance loss rate = (Target reference power - First power mean value) / Target reference power * 100%;

[0049] In the embodiments of the present disclosure, after determining the performance loss rate of the wind turbine within a preset time period, it is possible to determine that the wind turbine undergoes derated operation within the target time period according to the performance loss rate.

[0050] Among them, the target time period is a continuous preset number of preset time periods.

[0051] Optionally, in some embodiments, determining that the wind turbine undergoes derated operation within the target time period according to a plurality of initial active powers and the corresponding target reference power within a preset time period may be that if the power ratios within a continuous preset number of preset time periods are all greater than a ratio threshold, then determine the time sum value between the continuous preset number of preset time periods. When the time sum value is greater than a time threshold, determine that the wind turbine undergoes derated operation within the target time period, where the target time period is a continuous preset number of preset time periods.

[0052] That is to say, in the embodiments of the present disclosure, if the power ratios within a continuous preset number of preset time periods are greater than the ratio threshold in a single instance, and the cumulative time sum value of the continuous preset number of preset time periods within the first time period is greater than the time threshold, then it can be determined that the target time period for derating operation is the continuous preset number of preset time periods.

[0053] For example, if the preset time period is 10 minutes, the preset number is 6, and the time threshold is 180 minutes, then if each determined power ratio within more than 60 minutes is greater than the ratio threshold, and the cumulative sum value within the first time period exceeds 180 minutes, it can be determined that the wind turbine generator undergoes derating operation within the target time period.

[0054] S106: Generate a derating warning message for the wind turbine generator within the target time period.

[0055] Among them, the derating warning message can be used to prompt that the wind turbine generator undergoes derating operation within the target time period, so as to remind the operation and maintenance personnel to timely check the potential faults existing in the operation of the wind turbine generator and avoid the potential risk of power generation loss of the wind turbine.

[0056] In the embodiments of the present disclosure, by continuously acquiring the initial operation parameters of the wind turbine generator within the first time period based on a preset sampling interval, where the initial operation parameters include: initial wind speed and initial active power, and the initial operation parameters have corresponding data acquisition times, obtaining the mapping relationship between the reference wind speed and the initial reference power of the wind turbine generator within the first time period, dividing the initial operation parameters into corresponding operation parameter groups according to the data acquisition time, each operation parameter group includes: a plurality of initial operation parameters collected within a preset time period, determining the target reference power within the preset time period according to the wind speed mean value and the mapping relationship among the plurality of initial wind speeds within the preset time period, determining that the wind turbine generator undergoes derating operation within the target time period according to the plurality of initial active powers and the corresponding target reference power within the preset time period, and generating a derating warning message for the wind turbine generator within the target time period. Thus, the derating operation state of the wind turbine generator can be accurately identified, so as to provide more reasonable reference information for the operation and maintenance personnel, help reduce power loss, thereby improving the working efficiency of the wind turbine generator and promoting the transformation of the unit from planned maintenance, fault maintenance to condition-based maintenance.

[0057] Figure 2 It is a schematic flowchart of a derating warning method for a wind turbine generator shown in the second embodiment of the present disclosure, as Figure 2 shown, the method includes:

[0058] S201: Continuously obtain the initial operating parameters of the wind turbine within the first time period based on a preset sampling interval. Among them, the initial operating parameters include: initial wind speed and initial active power, and 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 within the first time period.

[0060] S203: Divide the initial operating parameters into corresponding operating parameter groups according to the data acquisition time. Each operating parameter group includes: multiple initial operating parameters collected within a preset time period.

[0061] S204: Determine the target reference power within a preset time period according to the wind speed mean value and the mapping relationship among multiple initial wind speeds within the preset time period.

[0062] S205: Determine that the wind turbine undergoes derated operation within the target time period according to multiple initial active powers and the corresponding target reference power within the preset time period.

[0063] For the descriptions of S201 - S205, specific reference can be made to the above - mentioned embodiments, which will not be elaborated here.

[0064] S206: When it is determined that the wind turbine undergoes derated operation within the target time period, obtain the turbulence intensity value, other warning information, and nacelle temperature of the wind turbine within the target time period.

[0065] In the embodiments of the present disclosure, when it is determined that the wind turbine undergoes derated operation within the target time period, the turbulence intensity value, other warning information, and nacelle temperature of the wind turbine within the target time period can be obtained.

[0066] In the embodiments of the present disclosure, the other warning information includes at least one of the following: generator drive - end bearing temperature over - temperature warning information, generator non - drive - end bearing temperature over - temperature warning information, gearbox oil sump temperature over - temperature warning information, gearbox high - speed shaft drive - end bearing temperature over - temperature warning information, gearbox high - speed shaft non - drive - end bearing temperature over - temperature warning information, gearbox intermediate shaft drive - end bearing temperature over - temperature warning information, gearbox intermediate shaft non - drive - end bearing temperature over - temperature warning information, inverter output valve temperature over - temperature warning information, and outside - nacelle temperature over - temperature warning information.

[0067] Among them, the turbulence intensity value is the degree of wind speed fluctuation and can be used to describe the instability of the wind speed in the wind farm. There are various calculation methods for turbulence intensity, and the commonly used methods include the standard deviation method, variance method, and turbulent kinetic energy method.

[0068] Among them, the standard deviation is a statistical indicator that measures the degree of data dispersion and represents the fluctuation degree of wind speed data. Calculation requires a set of the same wind speed measurement data samples and a specified time period. The calculation formula of the standard deviation method is as follows:

[0069] Turbulence intensity value = wind speed standard deviation / average wind speed;

[0070] That is to say, in the embodiments of the present disclosure, it may be to determine the wind speed standard deviation and the average wind speed of the wind turbine during the target time period, then determine the ratio between the wind speed standard deviation and the average wind speed, and determine the ratio as the turbulence intensity value.

[0071] S207: Determine the operating reason for the derated operation of the wind turbine during the target time period according to at least one of the turbulence intensity value, other warning information, and nacelle temperature of the wind turbine during the target time period.

[0072] In the embodiments of the present disclosure, when it is determined that the wind turbine has a derated operation during the target time period, after obtaining the turbulence intensity value, other warning information, and nacelle temperature of the wind turbine during the target time period, the operating reason for the derated operation of the wind turbine during the target time period can be determined according to at least one of the turbulence intensity value, other 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 reason.

[0073] Optionally, in some embodiments, determining the operating reason for the derated operation of the wind turbine during the target time period according to at least one of the turbulence intensity value, other warning information, and nacelle temperature of the wind turbine during the target time period includes: if the average temperature of the nacelle temperature during the target time period is less than the temperature threshold, then determine that the operating reason is: icing derated operation, or if there is an over-temperature warning information for the inverter valve outlet temperature during the target time period, then determine that the operating reason is: inverter over-temperature derated operation; or if there is an over-temperature warning information for the outside cabin temperature during the target time period, then determine that the operating reason is: outside cabin temperature over-temperature derated operation; or if there is an over-temperature warning information for the generator drive-end bearing temperature or the generator non-drive-end bearing temperature during the target time period, then determine that the operating reason is: generator over-temperature derated operation; or if there are over-temperature warning information for the gearbox oil sump temperature, gearbox high-speed shaft drive-end bearing temperature, gearbox high-speed shaft non-drive-end bearing temperature, gearbox intermediate shaft drive-end bearing temperature, and gearbox intermediate shaft non-drive-end bearing temperature during the target time period, then determine that the operating reason is: gearbox over-temperature derated operation, or if the average value of the turbulence intensity value during the target time period is greater than the turbulence intensity threshold, then determine that the operating reason is: turbulence derated operation.

[0074] In the embodiments of the present disclosure, refer toFigure 3 , Figure 3 is a schematic flowchart of the derating early warning method for a wind turbine shown in the third embodiment of the present disclosure. That is, if it is determined that the power ratios within a continuous preset number of preset time periods are all greater than the ratio threshold, then the time sum value between the continuous preset number of preset time periods is determined. When the time sum value is greater than the time threshold, after determining that the wind turbine undergoes derating operation within the target time period, it may be that when the average temperature of the nacelle temperature within the target time period is less than the temperature threshold (for example, 1), then it is determined that the operating cause is: icing derating operation; or if there is an over-temperature warning information for the inverter valve-out temperature within the target time period, then it is determined that the operating cause is: inverter over-temperature derating operation; or if there is an over-temperature warning information for the outside cabin temperature within the target time period, then it is determined that the operating cause is: outside cabin temperature over-temperature derating operation; or if there is an over-temperature warning information for the bearing temperature at the drive end of the generator or the bearing temperature at the non-drive end of the generator within the target time period, then it is determined that the operating cause is: generator over-temperature derating operation; or if there is an over-temperature warning information for the gearbox oil sump temperature, the bearing temperature at the drive end of the high-speed shaft of the gearbox, the bearing temperature at the non-drive end of the high-speed shaft of the gearbox, the bearing temperature at the drive end of the intermediate shaft of the gearbox, and the bearing temperature at the non-drive end of the intermediate shaft of the gearbox within the target time period, then it is determined that the operating cause is: gearbox over-temperature derating operation; or if the average value of the turbulence intensity within the target time period is greater than the turbulence intensity threshold (for example, 0.17), then it is determined that the operating cause is: turbulence derating operation.

[0075] In the embodiments of the present disclosure, after determining the operating cause of the derating operation of the wind turbine within the target time period, the specific cause can be further determined according to the operating cause, and corresponding countermeasures can be taken according to the corresponding maintenance suggestions. Refer to Table 1. Table 1 is a comparison table of the derating operation causes and maintenance suggestions for the wind turbine:

[0076] Table 1

[0077]

[0078] In the embodiments of the present disclosure, if the operating cause of the derating operation of the wind turbine within the target time period cannot be determined, only the derating early warning information of the wind turbine is generated.

[0079] S208: Determine the lost power of the wind turbine within the target time period.

[0080] In the embodiments of the present disclosure, after determining that the wind turbine undergoes derating operation within the target time period, the lost power of the wind turbine within the target time period can be determined, so as to accurately quantify the derating degree.

[0081] Optionally, in some embodiments, determining the lost power of the wind turbine during the target time period may be to determine the second power mean value between multiple initial active powers during the target time period, and the reference power mean value between multiple target reference powers, determine the second power difference between the reference power mean value and the second power mean value, determine the product of the second power difference and the target time period, and determine the product as the lost power of the wind turbine during the target time period.

[0082] That is to say, in the embodiments of the present disclosure, it may be to determine the second power mean value of multiple initial active powers during the target time period, and the reference power mean value between multiple target reference powers. When determining the lost power p 损失 = reference power mean value - second power mean value. When the lost power is greater than 0, then calculate the lost power W of the corresponding time period 损 = p 损失 × target time period, with the unit of ten thousand kWh.

[0083] In the embodiments of the present disclosure, refer to Figure 4 , Figure 4 is a schematic diagram of the interface for wind turbine derating warning shown according to an embodiment of the present disclosure. As can be seen from Figure 4 , ice accretion derating operation phenomena occurred in the 2nd, 4th, and 5th units of this power plant, and the durations were 5h, 3.83h, and 5.83h respectively. As can be seen from Figure 4 the power curve graph on the right, the unit is in the derating operation state. As can be seen from the time-outdoor temperature relationship graph in the upper left corner, during the derating operation time period, the outdoor temperature was less than 1°C, which caused ice accretion on the unit blades, and then led to the derating operation of the unit. The lost powers during the derating operation time period were 1.68MWh, 3.24MWh, and 0.67MWh respectively.

[0084] S209: Generate derating warning information of the wind turbine during the target time period.

[0085] For the description of S209, specific reference can be made to the above embodiments, and details will not be repeated here.

[0086] In the embodiments of the present disclosure, by continuously obtaining the initial operating parameters of the wind turbine within the first time period based on a preset sampling interval, where the initial operating parameters include the initial wind speed and the initial active power, and the initial operating parameters have corresponding data acquisition times, obtaining the mapping relationship between the reference wind speed and the initial reference power of the wind turbine 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 a plurality of initial operating parameters collected within a preset time period, determining the target reference power within the preset time period according to the wind speed average value among the plurality of initial wind speeds within the preset time period and the mapping relationship, determining that the wind turbine operates with reduced capacity within the target time period according to the plurality of initial active powers and the corresponding target reference power within the preset time period, and generating a reduced-capacity warning message, it is possible to accurately identify the reduced-capacity operating state of the wind turbine. When it is determined that the wind turbine operates with reduced capacity within the target time period, obtaining the turbulence intensity value, other warning messages, and the nacelle temperature of the wind turbine within the target time period, and determining the operating reason for the wind turbine to operate with reduced capacity within the target time period according to at least one of the turbulence intensity value, other warning messages, and the nacelle temperature of the wind turbine within the target time period, so that corresponding remedial measures can be taken based on the operating reason, determining the lost power of the wind turbine within the target time period, thereby achieving precise quantification of the degree of reduced capacity.

[0087] Figure 5 is a block diagram of a reduced-capacity warning device for a wind turbine shown according to the present disclosure, as Figure 5 shown, the reduced-capacity warning device 50 of the wind turbine includes:

[0088] A first acquisition module 501, configured to continuously acquire the initial operating parameters of the wind turbine within the first time period based on a preset sampling interval, where the initial operating parameters include the initial wind speed and the initial active power, and the initial operating parameters have corresponding data acquisition times;

[0089] A second acquisition module 502, configured to acquire the mapping relationship between the reference wind speed and the initial reference power of the wind turbine within the first time period;

[0090] A division module 503, configured to divide the initial operating parameters into corresponding operating parameter groups according to the data acquisition time, each operating parameter group including a plurality of initial operating parameters collected within a preset time period;

[0091] A first determination module 504, configured to determine the target reference power within the preset time period according to the wind speed average value among the plurality of initial wind speeds within the preset time period and the mapping relationship;

[0092] A second determination module 505, configured to determine that the wind turbine undergoes derated operation within a target time period according to a plurality of initial active powers and corresponding target reference powers within a preset time period.

[0093] A generation module 506, configured to generate a derating warning message for the wind turbine within the target time period.

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

[0095] Determine a first power mean value among a plurality of initial active powers within each preset time period;

[0096] Respectively determine a first power difference between the target reference power and the first power mean value within each preset time period;

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

[0098] Determine that the wind turbine undergoes derated operation within the target time period according to the power ratio within each preset time period.

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

[0100] If there are consecutive preset numbers of preset time periods in which the power ratios are all greater than a ratio threshold, determine a time sum value between the consecutive preset numbers of preset time periods;

[0101] In the case where the time sum value is greater than a time threshold, determine that the wind turbine undergoes derated operation within the target time period, where the target time period is a consecutive preset number of preset time periods.

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

[0103] After determining that the wind turbine undergoes derated operation within the target time period according to a plurality of initial active powers and corresponding target reference powers within a preset time period, and in the case of determining that the wind turbine undergoes derated operation within the target time period, obtain the turbulence intensity value, other warning information, and nacelle temperature of the wind turbine within the target time period;

[0104] Determine the operation reason for the wind turbine to undergo derated operation within the target time period according to at least one of the turbulence intensity value, other warning information, and nacelle temperature of the wind turbine within the target time period.

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

[0106] Generator drive end bearing overtemperature warning information, generator non-drive end bearing overtemperature warning information, gearbox oil sump overtemperature warning information, gearbox high-speed shaft drive end bearing overtemperature warning information, gearbox high-speed shaft non-drive end bearing overtemperature warning information, gearbox intermediate shaft drive end bearing overtemperature warning information, gearbox intermediate shaft non-drive end bearing overtemperature warning information, inverter outlet valve overtemperature warning information, outdoor cabin overtemperature warning information.

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

[0108] If the average temperature of the cabin temperature within the target time period is less than the temperature threshold, it is determined that the operation reason is: derating operation due to icing; or

[0109] If there is inverter outlet valve overtemperature warning information within the target time period, it is determined that the operation reason is: derating operation due to inverter overtemperature; or

[0110] If there is outdoor cabin overtemperature warning information within the target time period, it is determined that the operation reason is: derating operation due to outdoor cabin overtemperature; or

[0111] If there is generator drive end bearing overtemperature warning information or generator non-drive end bearing overtemperature warning information within the target time period, it is determined that the operation reason is: derating operation due to generator overtemperature; or

[0112] If there are gearbox oil sump overtemperature warning information, gearbox high-speed shaft drive end bearing overtemperature warning information, gearbox high-speed shaft non-drive end bearing overtemperature warning information, gearbox intermediate shaft drive end bearing overtemperature warning information, and gearbox intermediate shaft non-drive end bearing overtemperature warning information within the target time period, it is determined that the operation reason is: derating operation due to gearbox overtemperature; or

[0113] If the average value of the turbulence intensity value within the target time period is greater than the turbulence intensity threshold, it is determined that the operation reason is: derating operation due to turbulence.

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

[0115] After determining that the wind turbine has derated operation within the target time period based on multiple initial active powers and corresponding target reference powers within a preset time period, determine the lost power of the wind turbine within the target time period.

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

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

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

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

[0120] Determine the product as the loss of power of the wind turbine within the target time period.

[0121] In the embodiments of the present disclosure, by continuously acquiring the initial operating parameters of the wind turbine within the first time period based on a preset sampling interval, where 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 within the first time period, divide the initial operating parameters into corresponding operating parameter groups according to the data acquisition time, each operating parameter group includes: multiple initial operating parameters collected within a preset time period, determine the target reference power within the preset time period according to the wind speed mean value among the multiple initial wind speeds within the preset time period and the mapping relationship, determine that the wind turbine undergoes derating operation within the target time period according to the multiple initial active powers and the corresponding target reference powers within the preset time period, and generate a derating warning message of the wind turbine within the target time period. Thus, the derating operation state of the wind turbine can be accurately identified, so as to provide more reasonable reference information for the operation and maintenance personnel, help reduce power loss, thereby improving the working efficiency of the wind turbine and promoting the transformation of the unit from planned maintenance, fault maintenance to condition-based maintenance.

[0122] To implement the above embodiments, the present 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 of the wind turbine provided in the foregoing embodiments.

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

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

[0125] Figure 6 The displayed electronic device 6 is only an example and should not bring any limitation to the functions and usage scope of the embodiments of the present disclosure.

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

[0127] The bus 18 represents one or more of several types of bus structures, 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 structures. By way of example, these architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MAC) bus, Enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnection (PCI) bus.

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

[0129] The 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. The electronic device 6 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, a storage system 34 may be used for reading and writing on non-removable, non-volatile magnetic media ( Figure 6 not shown, typically referred to as a "hard disk drive").

[0130] Although Figure 6Not shown in the figure, a disk drive for reading and writing a removable non-volatile disk (such as a "floppy disk") and an optical disk drive for reading and writing a removable non-volatile optical disk (such as: Compact Disc Read Only Memory (hereinafter referred to as: CD-ROM), Digital Video Disc Read Only Memory (hereinafter referred to as: DVD-ROM) or other optical media) may be provided. In these cases, each drive may be connected to the bus 18 through one or more data medium interfaces. The memory 28 may include at least one program product having a set (such as at least one) of program modules configured to perform the functions of the embodiments of the present disclosure.

[0131] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in the 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 the implementation of a network environment. The program modules 42 generally execute the functions and / or methods in the embodiments described in the present disclosure.

[0132] The electronic device 6 may also communicate with one or more external devices 14 (such as a keyboard, a pointing device, a display 24, etc.), may also communicate with one or more devices that enable a human body to interact with the electronic device 6, and / or communicate with any device that enables the electronic device 6 to communicate with one or more other computing devices (such as a network card, a modem, etc.). Such communication may be carried out through the input / output (I / O) interface 22. Moreover, the electronic device 6 may also communicate with one or more networks (such as a Local Area Network (hereinafter referred to as: LAN), a Wide Area Network (hereinafter referred to as: WAN) and / or a public network, such as the Internet) through the network adapter 20. As shown in the figure, the network adapter 20 communicates with other modules of the electronic device 6 through the bus 18. It should be understood that although not shown in the figure, other hardware and / or software modules may be used in combination with the 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, etc.

[0133] The processing unit 16 executes various functional applications and parameter information determination by running the programs stored in the memory 28, such as implementing the derating warning method for the business wind turbine 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 the present disclosure, the terms "first", "second", etc. are only used for descriptive purposes and cannot be construed as indicating or implying relative importance. In addition, in the description of the present disclosure, unless otherwise specified, the meaning of "a plurality of" is two or more.

[0135] Any process or method description shown in the flowchart or described in other ways herein can be understood to represent a module, segment, or part of code including one or more executable instructions for implementing a specific logical function or process. The scope of the preferred embodiments of the present disclosure includes additional implementations, where the functions may be executed in a substantially simultaneous manner or in a reverse order according to the involved functions, rather than in the order shown or discussed, which should be understood by those skilled in the technical field of the embodiments of the present disclosure.

[0136] It should be understood that each part of the present disclosure can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one or a combination of the following well-known technologies in the art can be used: discrete logic circuits with logic gate circuits for implementing logical functions on data signals, application-specific integrated circuits with appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0137] Those of ordinary skill in the art of this technology can understand that all or part of the steps carried by the methods of the above embodiments can be completed by instructing relevant hardware through a program. The said program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiments.

[0138] In addition, each functional unit in various embodiments of the present disclosure can be integrated into a processing module, or each unit can exist physically alone, or two or more units can be integrated into one module. The above-mentioned integrated module can be implemented in the form of hardware or in the form of a software functional module. When the integrated module is implemented in the form of 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 above-mentioned storage medium can be a read-only memory, a magnetic disk, an optical disc, etc.

[0140] In the description of this specification, the descriptions referring to the terms "one embodiment", "some embodiments", "exemplifications", "specific exemplifications", or "some exemplifications", etc. mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or exemplification are included in at least one embodiment or exemplification of the present disclosure. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or exemplification. Moreover, the specific features, structures, materials, or characteristics described may be combined in any one or more embodiments or exemplifications in a suitable manner.

[0141] Although the embodiments of the present disclosure have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present disclosure. Those of ordinary skill 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 capacity derating of a wind turbine, characterized in that, The method includes: Continuously obtaining initial operating parameters of a wind turbine within a first time period based on a preset sampling interval, where the initial operating parameters include an initial wind speed and an initial active power, and the initial operating parameters have corresponding data acquisition times; Obtaining a mapping relationship between a reference wind speed and an initial reference power of the wind turbine within the first time period; Dividing the initial operating parameters into corresponding operating parameter groups according to the data acquisition time, where each operating parameter group includes a plurality of initial operating parameters collected within a preset time period; Determining a target reference power within a preset time period according to a wind speed average value among a plurality of the initial wind speeds within the preset time period and the mapping relationship; Determining that the wind turbine undergoes derated operation within a target time period according to a plurality of initial active powers within the preset time period and the corresponding target reference power; Generating derating warning information of the wind turbine within the target time period.

2. The method according to claim 1, characterized in that, The determining that the wind turbine undergoes derated operation according to a plurality of initial active powers within the preset time period and the corresponding target reference power includes: Determining a first power average value among a plurality of initial active powers within each preset time period; Respectively determining a first power difference between the target reference power and the first power average value within each preset time period; Respectively determining a power ratio between the first power difference and the target reference power within each preset time period; Determining that the wind turbine undergoes derated operation within a target time period according to the power ratio within each preset time period.

3. The method according to claim 2, wherein The determining that the wind turbine undergoes derated operation within a target time period according to a plurality of initial active powers within the preset time period and the corresponding target reference power includes: If there are consecutive preset numbers of the power ratios within the preset time periods that are all greater than a ratio threshold, determining a time sum value between the consecutive preset numbers of the preset time periods; Determining that the wind turbine undergoes derated operation within a target time period when the time sum value is greater than a time threshold, where the target time period is the consecutive preset numbers of the preset time periods.

4. The method according to claim 1, wherein After determining that the wind turbine undergoes derated operation within a target time period according to a plurality of initial active powers within the preset time period and the corresponding target reference power, it further includes: When it is determined that the wind turbine undergoes derated operation within the target time period, obtaining a turbulence intensity value, other warning information, and nacelle temperature of the wind turbine within the target time period; Determining a cause of the derated operation of the wind turbine within the target time period according to at least one of the turbulence intensity value, the other warning information, and the nacelle temperature of the wind turbine within the target time period.

5. The method according to claim 4, characterized in that, The other warning information includes at least one of the following: Generator drive - end bearing over - temperature warning information, generator non - drive - end bearing over - temperature warning information, gearbox oil sump over - temperature warning information, gearbox high - speed shaft drive - end bearing over - temperature warning information, gearbox high - speed shaft non - drive - end bearing over - temperature warning information, gearbox intermediate shaft drive - end bearing over - temperature warning information, gearbox intermediate shaft non - drive - end bearing over - temperature warning information, inverter outlet valve over - temperature warning information, outside - cabin temperature over - temperature warning information.

6. The method according to claim 5, wherein Determining the operating reason for the derated operation of the wind turbine during the target time period based on at least one of the turbulence intensity value, the other warning information, and the nacelle temperature of the wind turbine during the target time period includes: If the average temperature of the nacelle temperature during the target time period is less than the temperature threshold, then determine that the operating reason is: derated operation due to icing; or If there is inverter outlet valve over - temperature warning information during the target time period, then determine that the operating reason is: derated operation due to inverter over - temperature; or If there is outside - cabin temperature over - temperature warning information during the target time period, then determine that the operating reason is: derated operation due to outside - cabin temperature over - temperature; or If there is generator drive - end bearing over - temperature warning information or generator non - drive - end bearing over - temperature warning information during the target time period, then determine that the operating reason is: derated operation due to generator over - temperature; or If there are gearbox oil sump over - temperature warning information, gearbox high - speed shaft drive - end bearing over - temperature warning information, gearbox high - speed shaft non - drive - end bearing over - temperature warning information, gearbox intermediate shaft drive - end bearing over - temperature warning information, and gearbox intermediate shaft non - drive - end bearing over - temperature warning information during the target time period, then determine that the operating reason is: derated operation due to gearbox over - temperature; or If the average value of the turbulence intensity value during the target time period is greater than the turbulence intensity threshold, then determine that the operating reason is: derated operation due to turbulence.

7. The method according to claim 1, characterized in that After determining that the wind turbine has derated operation during the target time period based on multiple initial active powers and the corresponding target reference powers within the preset time period, it further includes: Determining the lost power of the wind turbine during the target time period.

8. The method according to claim 7, wherein The determining the lost power of the wind turbine during the target time period includes: Determining the second power mean value between multiple initial active powers during the target time period and the reference power mean value between multiple target reference powers; Determining the second power difference between the reference power mean value and the second power mean value; Determining the product of the second power difference and the target time period; Determining the product as the lost power of the wind turbine during the target time period.

9. A derating warning device for a wind turbine, characterized in that, The device includes: A first acquisition module, configured to continuously acquire the initial operating parameters of the wind turbine within a first time period based on a preset sampling interval, where 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 the reference wind speed and the 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, and each operating parameter group includes a plurality of 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 according to the mean wind speed among the plurality of initial wind speeds within the preset time period and the mapping relationship; A second determination module, configured to determine that the wind turbine operates with reduced capacity within the target time period according to the plurality of initial active powers and the corresponding target reference power within the preset time period; A generation module, configured to generate a reduced-capacity warning message of the wind turbine within the target time period.

10. An electronic device, characterized in that, Comprising: A processor; A memory for storing executable instructions of the processor; Wherein, the processor is configured to execute the instructions to implement the method according to any one of claims 1-8.

11. A computer-readable storage medium, when the instructions in the computer-readable storage medium are executed by a processor of an electronic device, enabling the electronic device to execute the method according to any one of claims 1-8.

12. A computer program product, comprising a computer program, characterized in that, The computer program, when executed by a processor, implements the method according to any one of claims 1-8.

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