Wind turbine generator capacity reduction type identification method, device and equipment and storage medium
Through the processing of wind speed and power data, identifying the decapacitation type of wind turbines, solving the problem of untimely identification in the prior art, realizing timely adjustment and management of wind turbines, and avoiding power generation losses.
Patent Information
- Application Number
- CN202411286782.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-13
- Publication Date
- 2025-01-14
AI Technical Summary
The prior art is difficult to identify and manage the decapacitation type of wind turbines in real time, resulting in untimely data processing, which may lead to worse situations or loss of power generation.
By obtaining the wind speed and active power data of the wind turbine, it is converted into the wind speed and power under standard air density, it is determined whether it is a devolving point, and the devolving type is determined based on the number of devolving points, blade angle and ambient temperature.
Accurate identification of the decapacitation type of wind turbine units, and timely adjustments are made to avoid power generation losses and harsh situations.
Smart Images
Figure CN119308800A_ABST
Abstract
Description
Technical Field
[0001] The present application belongs to the technical field of capacity reduction identification, and in particular, relates to a method, device, equipment and storage medium for identifying the capacity reduction type of a wind turbine generator set. Background Art
[0002] Wind turbine capacity reduction is a self-protection mechanism for wind turbines under high temperature conditions. When the temperature of some key components of the wind turbine (such as bearings, stators, and rotors) exceeds the safety limit, in order to protect the equipment from damage, the system will automatically reduce the power of the generator to reduce the load and prevent the equipment from overheating and damage. The reasons and manifestations of wind turbine capacity reduction are as follows:
[0003] Artificial capacity reduction: Due to wear or aging of mechanical parts (such as bearings, gearboxes, blades, etc.) and insufficient maintenance, the unit's operating efficiency is reduced, and normal operation needs to be maintained by capacity reduction; due to control system problems or failures, the fan cannot operate stably at rated power, and capacity reduction can be achieved by updating the software or adjusting the control strategy; during technical transformation and upgrading, the fan's operating power will be temporarily or permanently reduced to adapt to new operating conditions or solve the original design defects.
[0004] Grid capacity reduction: The grid may require some wind turbines to output low power during certain periods of time for the sake of its own stability and safety.
[0005] Derating due to environmental factors: When a wind turbine operates under extreme climatic conditions, such as high temperature, low temperature, high humidity, salt spray and other harsh environments, the performance of the components of the unit may be degraded, which in turn causes a decrease in output power. At this time, it is necessary to derate the wind turbine, that is, reduce its operating power to prevent damage caused by excessive load. Among them, derating caused by blade icing is the most common.
[0006] At present, there are many inconveniences in the management of reduced-capacity wind turbines: data processing is not timely, and the reduced-capacity wind turbine status of the wind farm cannot be grasped in real time; if the reduced-capacity status is not handled in time, it is easy to cause worse conditions or power generation losses. Summary of the invention
[0007] The embodiments of the present application provide a method, device, equipment and storage medium for identifying the derating type of a wind turbine generator set, so as to timely and accurately determine the derating type of each wind turbine generator set, thereby avoiding serious consequences caused by the derating type not being processed to the target type in a timely manner.
[0008] This application is implemented through the following technical solutions:
[0009] In a first aspect, an embodiment of the present application provides a method for identifying a capacity reduction type of a wind turbine generator set, comprising:
[0010] For each wind turbine in the target wind turbine group, the average wind speed of the wind turbine in the target time period is obtained, recorded as the first wind speed, and the active power of the wind turbine in the target time period is obtained, recorded as the first power.
[0011] The first wind speed is converted into the wind speed under the standard air density, which is recorded as the second wind speed; the first power is corrected based on the second wind speed to obtain the second power; based on the second power and the second wind speed, it is determined whether the wind turbine is at the derating point.
[0012] The derating type of the target wind turbine generator set is determined according to the number of derating points and / or the angle of wind turbine blades in the target wind turbine generator set and the ambient temperature of the target wind turbine generator set.
[0013] In combination with the first aspect, in some possible implementations, converting the first wind speed into a wind speed under standard air density, recorded as a second wind speed, includes:
[0014] Combined with the first formula, the first wind speed is converted into the wind speed under standard air density, which is recorded as the second wind speed.
[0015] The first formula is:
[0016]
[0017] Among them, V n represents the second wind speed, V1 represents the first wind speed, ρ represents the air density where the fan is located, ρ b Indicates standard air density.
[0018] In combination with the first aspect, in some possible implementations, correcting the first power based on the second wind speed to obtain the second power includes:
[0019] In combination with the second formula, the first power is corrected based on the second wind speed to obtain the second power.
[0020] The second formula is:
[0021]
[0022] Wherein, P2 represents the second power, P1 represents the first power, V n Indicates the second wind speed, V bin Indicates the wind speed at the wind speed bin point corresponding to the second wind speed.
[0023] In combination with the first aspect, in some possible implementations, judging whether the wind turbine is a capacity reduction point based on the second power and the second wind speed includes:
[0024] Obtain the theoretical power value of the wind speed bin point corresponding to the second wind speed.
[0025] If the quotient of the difference between the theoretical power value and the second power and the theoretical power value is greater than the first preset value, and the difference between the theoretical power value and the second power is greater than the second preset value, and the second power is greater than the third preset value, then the fan is at a derating point.
[0026] In combination with the first aspect, in some possible implementations, the first preset value ranges from 10% to 15%; the second preset value ranges from 100kW to 200kW; and the third preset value ranges from 20kW to 50kW.
[0027] In combination with the first aspect, in some possible implementations, determining the capacity reduction type of the target wind turbine generator set according to the number of capacity reduction points and / or the wind turbine blade angle in the target wind turbine generator set and the ambient temperature of the target wind turbine generator set includes:
[0028] When the number of derating points in the target wind turbine group exceeds the fourth preset value, if the ambient temperature is greater than 0°C, or if the ambient temperature is less than or equal to 0°C and the wind turbine blade angle is within the first preset range within the preset time, the derating type of the target wind turbine group is grid derating.
[0029] If the ambient temperature is less than or equal to 0°C and the wind turbine blade angle is in the second preset range, the derating type of the target wind turbine set is derating due to environmental factors; wherein the first preset range is 2° to 85° and the second preset range is -2° to 2°.
[0030] When the number of derating points in the target wind turbine group is less than or equal to the fourth preset value, if the ambient temperature is greater than 0°C, or if the ambient temperature is less than or equal to 0°C and the wind turbine blade angle is within the first preset range within the preset time, the derating type of the target wind turbine group is manual derating.
[0031] In combination with the first aspect, in some possible implementations, the method for identifying the type of capacity reduction of a wind turbine generator set further includes:
[0032] The derating type of the target wind turbine is displayed, and the theoretical power of each wind turbine when operating normally is also displayed.
[0033] In a second aspect, an embodiment of the present application provides a device for identifying a reduction type of a wind turbine generator set, comprising:
[0034] The data acquisition module is used to obtain the average wind speed of each wind turbine in the target wind turbine group within a target time period, recorded as the first wind speed, and obtain the active power of the wind turbine within the target time period, recorded as the first power.
[0035] The data operation module is used to convert the first wind speed into the wind speed under the standard air density, recorded as the second wind speed; based on the second wind speed, the first power is corrected to obtain the second power; based on the second power, it is determined whether the wind turbine is a capacity reduction point.
[0036] The type determination module is used to determine the derating type of the target wind turbine generator set according to the number of derating points and / or the wind turbine blade angles in the target wind turbine generator set and the ambient temperature of the target wind turbine generator set.
[0037] In a third aspect, an embodiment of the present application provides a terminal device, including: a processor and a memory, the memory being used to store a computer program, and when the processor executes the computer program, the method for identifying the derating type of a wind turbine group as described in any one of the first aspects is implemented.
[0038] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for identifying the derating type of a wind turbine group as described in any one of the first aspects is implemented.
[0039] It can be understood that the beneficial effects of the second to fourth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here.
[0040] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:
[0041] This application obtains the first wind speed and the first power within the target time period, converts the first wind speed into the second wind speed, and corrects the first power according to the second wind speed to obtain the second power, and then determines whether each wind turbine is a capacity reduction point by the second power, and finally determines the capacity reduction type by the number of capacity reduction points and / or the angle of the wind turbine blades, as well as the ambient temperature. The capacity reduction type of the wind turbine can be obtained in time through wind speed and power data, and then the corresponding required adjustments can be made according to the current capacity reduction type to avoid worse conditions or power generation losses due to untimely handling of the capacity reduction situation.
[0042] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present specification. BRIEF DESCRIPTION OF THE DRAWINGS
[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.
[0044] Figure 1It is a flow chart of a method for identifying the type of wind turbine capacity reduction provided in an embodiment of the present application;
[0045] Figure 2 It is a structural schematic diagram of a device for identifying the type of capacity reduction of a wind turbine set provided in an embodiment of the present application;
[0046] Figure 3 It is a structural diagram of a terminal device provided in one embodiment of the present application. DETAILED DESCRIPTION
[0047] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.
[0048] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.
[0049] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.
[0050] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.
[0051] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.
[0052] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.
[0053] The present application provides a method for identifying the type of wind turbine capacity reduction. Figure 1 is a schematic diagram of the process of identifying the type of wind turbine capacity reduction provided by an embodiment of the present application, with reference to Figure 1 , the detailed description of the wind turbine derating type identification method is as follows:
[0054] Step 101, for each wind turbine in the target wind turbine group, obtain the average wind speed of the wind turbine in a target time period, recorded as the first wind speed, and obtain the active power of the wind turbine in the target time period, recorded as the first power.
[0055] For example, data collection can be performed through SCADA to obtain the required data information. These parameters may include wind turbine operation information: wind speed, generator active power, blade angle, cabin temperature, wind turbine operation status, etc. The basic information of the wind turbine may include: wind turbine number, wind farm, cycle, power upper limit, model, etc.
[0056] For example, due to the high real-time requirements and the large amount of data from wind turbines, the Flink platform is selected for data processing. Flink can handle large-scale, high-concurrency real-time streaming data scenarios well. It can read data from different data sources and process the data through a series of transformation operations, such as map, filter, etc.
[0057] For example, when communication is abnormal, the received data remains unchanged and no effective logical judgment can be made, so the abnormal communication data needs to be identified and deleted. Similarly, some data may have over-limit (jump) problems, making the data unusable, such as wind speed greater than 50m / s, outdoor temperature greater than 60°C, etc.
[0058] Step 102, converting the first wind speed into a wind speed under standard air density, recorded as a second wind speed; correcting the first power based on the second wind speed to obtain a second power; and judging whether the wind turbine is a derating point based on the second power and the second wind speed.
[0059] Exemplarily, converting the first wind speed into a wind speed under standard air density, recorded as the second wind speed, may include:
[0060] Combined with the first formula, the first wind speed is converted into the wind speed under standard air density, which is recorded as the second wind speed.
[0061] The first formula can be:
[0062]
[0063] Among them, V n represents the second wind speed, V1 represents the first wind speed, ρ represents the air density where the fan is located, ρ b Indicates standard air density.
[0064] Exemplarily, correcting the first power based on the second wind speed to obtain the second power may include:
[0065] In combination with the second formula, the first power is corrected based on the second wind speed to obtain the second power.
[0066] The second formula can be:
[0067]
[0068] Wherein, P2 represents the second power, P1 represents the first power, V n Indicates the second wind speed, V bin Indicates the wind speed at the wind speed bin point corresponding to the second wind speed.
[0069] Exemplarily, judging whether the wind turbine is a capacity reduction point based on the second power and the second wind speed may include:
[0070] Obtain the theoretical power value of the wind speed bin point corresponding to the second wind speed.
[0071] If the quotient of the difference between the theoretical power value and the second power and the theoretical power value is greater than the first preset value, and the difference between the theoretical power value and the second power is greater than the second preset value, and the second power is greater than the third preset value, then the fan is at a derating point.
[0072] In some specific embodiments, the wind speed bin point refers to dividing the wind speed data into several intervals (i.e., "bins") during data analysis, and the endpoints of each interval are called a bin point. In the present application, the length of this interval is 0.5. Specifically, the wind speed of the wind speed bin point corresponding to the wind speed is generally the wind speed of the wind speed bin point that is closest to the wind speed data. For example: assuming that the second wind speed is 5.3m / s, the wind speed of the wind speed bin point corresponding to the second wind speed is 5.5m / s. Assuming that the second wind speed is 5.1m / s, the wind speed of the wind speed bin point corresponding to the second wind speed is 5.0m / s. In order to better understand the wind speed bin points corresponding to different wind speeds, the wind speed bin point corresponding to the wind speed in the interval of (5.25, 5.75] is generally selected as 5.5m / s. Similarly, the wind speed of the wind speed bin point corresponding to the wind speed in the interval of (4.75, 5.25] is 5.0m / s.
[0073] Exemplarily, the first preset value ranges from 10% to 15%; the second preset value ranges from 100 kW to 200 kW; and the third preset value ranges from 20 kW to 50 kW.
[0074] Step 103 : determining the de-capacity type of the target wind turbine generator set according to the number of de-capacity points and / or the wind turbine blade angles in the target wind turbine generator set and the ambient temperature of the target wind turbine generator set.
[0075] Exemplarily, step 103 may include:
[0076] When the number of derating points in the target wind turbine group exceeds the fourth preset value, if the ambient temperature is greater than 0°C, or if the ambient temperature is less than or equal to 0°C and the wind turbine blade angle is within the first preset range within the preset time, the derating type of the target wind turbine group is grid derating.
[0077] If the ambient temperature is less than or equal to 0°C and the wind turbine blade angle is in the second preset range, the derating type of the target wind turbine set is derating due to environmental factors; wherein the first preset range is 2° to 85° and the second preset range is -2° to 2°.
[0078] When the number of derating points in the target wind turbine group is less than or equal to the fourth preset value, if the ambient temperature is greater than 0°C, or if the ambient temperature is less than or equal to 0°C and the wind turbine blade angle is within the first preset range within the preset time, the derating type of the target wind turbine group is manual derating.
[0079] In some specific embodiments, the fourth preset value may be 35%, and the preset time may be 30 minutes. In actual production life, the range of the wind turbine blade angle is -2° to 90°. Other situations not mentioned in the above conditions are deemed to be that the target wind turbine set has not been derated.
[0080] Exemplarily, the method may further include:
[0081] The derating type of the target wind turbine is displayed, and the theoretical power of each wind turbine when operating normally is also displayed.
[0082] In some specific embodiments, after the target wind turbine displays a derating type, it is followed by a conventional solution corresponding to the derating type, so that the staff can respond to different derating types in a timely manner and avoid serious consequences due to the derating type not being processed to the target type in time.
[0083] The above-mentioned method for identifying the de-capacity type of a wind turbine obtains the first wind speed and the first power within the target time period, converts the first wind speed into the second wind speed, and corrects the first power according to the second wind speed to obtain the second power, and then determines whether each wind turbine is a de-capacity point by the second power, and finally determines the de-capacity type by the number of de-capacity points and / or the angle of the wind turbine blades, as well as the ambient temperature. The de-capacity type of the wind turbine can be obtained in time through the wind speed and power data, and then the corresponding required adjustments are made according to the current de-capacity type, so as to avoid worse conditions or power generation losses due to untimely handling of the de-capacity condition.
[0084] In some specific embodiments, a data acquisition module is used to collect SCADA data in real time; a Flink real-time processing module is used to process and transmit SCADA data to a data cleaning module in real time; a data cleaning module is used to clean up communication abnormality data and range-exceeding data; a logic calculation module is used to calculate and determine whether the current point is a capacity reduction warning point, and after determining the type of capacity reduction warning, corresponding maintenance suggestions are given; a real-time display module is used to display the capacity reduction warning point information and the accumulated warning status, and prompts are given, while displaying response suggestions for different types of capacity reduction.
[0085] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.
[0086] Corresponding to the method for identifying the capacity reduction type of a wind turbine generator set described in the above embodiment, Figure 2 A structural block diagram of a device for identifying the derating type of a wind turbine set provided in an embodiment of the present application is shown. For ease of explanation, only the parts related to the embodiment of the present application are shown.
[0087] See also Figure 2 The wind turbine generator set capacity reduction type identification device in the embodiment of the present application may include:
[0088] The data acquisition module 201 is used to obtain, for each wind turbine in the target wind turbine group, the average wind speed of the wind turbine within a target time period, recorded as the first wind speed, and obtain the active power of the wind turbine within the target time period, recorded as the first power.
[0089] The data operation module 202 is used to convert the first wind speed into the wind speed under the standard air density, recorded as the second wind speed; based on the second wind speed, the first power is corrected to obtain the second power; based on the second power, it is determined whether the wind turbine is a derating point.
[0090] The type determination module 203 is used to determine the de-capacity type of the target wind turbine generator set according to the number of de-capacity points and / or the wind turbine blade angles in the target wind turbine generator set and the ambient temperature of the target wind turbine generator set.
[0091] Exemplarily, the data operation module 202 may be used to:
[0092] Combined with the first formula, the first wind speed is converted into the wind speed under standard air density, which is recorded as the second wind speed.
[0093] The first formula can be:
[0094]
[0095] Among them, V n represents the second wind speed, V1 represents the first wind speed, ρ represents the air density where the fan is located, ρ b Indicates standard air density.
[0096] Exemplarily, the data operation module 202 may be used to:
[0097] In combination with the second formula, the first power is corrected based on the second wind speed to obtain the second power.
[0098] The second formula can be:
[0099]
[0100] Wherein, P2 represents the second power, P1 represents the first power, V n Indicates the second wind speed, V bin Indicates the wind speed at the wind speed bin point corresponding to the second wind speed.
[0101] Exemplarily, the data operation module 202 may be used to:
[0102] Obtain the theoretical power value of the wind speed bin point corresponding to the second wind speed.
[0103] If the quotient of the difference between the theoretical power value and the second power and the theoretical power value is greater than the first preset value, and the difference between the theoretical power value and the second power is greater than the second preset value, and the second power is greater than the third preset value, then the fan is at a derating point.
[0104] Exemplarily, the first preset value ranges from 10% to 15%; the second preset value ranges from 100 kW to 200 kW; and the third preset value ranges from 20 kW to 50 kW.
[0105] Exemplarily, the type determination module 203 may be used to:
[0106] When the number of derating points in the target wind turbine group exceeds the fourth preset value, if the ambient temperature is greater than 0°C, or if the ambient temperature is less than or equal to 0°C and the wind turbine blade angle is within the first preset range within the preset time, the derating type of the target wind turbine group is grid derating.
[0107] If the ambient temperature is less than or equal to 0°C and the wind turbine blade angle is in the second preset range, the derating type of the target wind turbine set is derating due to environmental factors; wherein the first preset range is 2° to 85° and the second preset range is -2° to 2°.
[0108] When the number of derating points in the target wind turbine group is less than or equal to the fourth preset value, if the ambient temperature is greater than 0°C, or if the ambient temperature is less than or equal to 0°C and the wind turbine blade angle is within the first preset range within the preset time, the derating type of the target wind turbine group is manual derating.
[0109] Exemplarily, the device for identifying the type of capacity reduction of a wind turbine generator set may further include: a display module 204 .
[0110] Exemplarily, the display module 204 may be used to:
[0111] The derating type of the target wind turbine is displayed, and the theoretical power of each wind turbine when operating normally is also displayed.
[0112] It should be noted that the information interaction, execution process, etc. between the above-mentioned devices / units are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.
[0113] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.
[0114] The present application also provides a terminal device, see Figure 3 The terminal device 300 may include: at least one processor 310 and a memory 320, wherein the memory 320 is used to store a computer program 321, and the processor 310 is used to call and run the computer program 321 stored in the memory 320 to implement the steps in any of the above-mentioned method embodiments, for example Figure 1 Steps 101 to 103 in the illustrated embodiment. Alternatively, when the processor 310 executes the computer program, the functions of each module / unit in the above-mentioned device embodiments are implemented, for example Figure 2 The functions of each module are shown.
[0115] Exemplarily, the computer program 321 may be divided into one or more modules / units, one or more modules / units are stored in the memory 320, and are executed by the processor 310 to complete the present application. The one or more modules / units may be a series of computer program segments that can complete specific functions, and the program segments are used to describe the execution process of the computer program in the terminal device 300.
[0116] Those skilled in the art will understand that Figure 3 It is only an example of a terminal device and does not constitute a limitation on the terminal device. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components, such as input and output devices, network access devices, buses, etc.
[0117] The processor 310 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc.
[0118] The memory 320 may be an internal storage unit of the terminal device, or an external storage device of the terminal device, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. The memory 320 is used to store the computer program and other programs and data required by the terminal device. The memory 320 may also be used to temporarily store data that has been output or is to be output.
[0119] The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, the bus in the drawings of the present application is not limited to only one bus or one type of bus.
[0120] The method for identifying the derating type of a wind turbine provided in the embodiment of the present application can be applied to terminal devices such as computers, wearable devices, vehicle-mounted devices, tablet computers, laptop computers, netbooks, etc. The embodiment of the present application does not impose any restrictions on the specific type of the terminal device.
[0121] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in each embodiment of the above-mentioned method for identifying the type of capacity reduction of a wind turbine generator set can be implemented.
[0122] An embodiment of the present application provides a computer program product. When the computer program product is run on a mobile terminal, the mobile terminal can implement the steps in each embodiment of the above-mentioned method for identifying the type of capacity reduction of a wind turbine generator set when executing the computer program product.
[0123] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may at least include: any entity or device that can carry the computer program code to the camera device / terminal device, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal and software distribution medium. For example, a USB flash drive, a mobile hard disk, a disk or an optical disk.
[0124] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.
[0125] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.
[0126] In the embodiments provided in the present application, it should be understood that the disclosed devices / network equipment and methods can be implemented in other ways. For example, the device / network equipment embodiments described above are merely schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.
[0127] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0128] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.
Claims
1. A method for identifying the type of wind turbine capacity reduction, characterized in that: include: For each wind turbine in the target wind turbine group, obtain the average wind speed of the wind turbine in the target time period, recorded as the first wind speed, and obtain the active power of the wind turbine in the target time period, recorded as the first power; Convert the first wind speed into the wind speed under standard air density, and record it as the second wind speed; Correcting the first power based on the second wind speed to obtain a second power; determining whether the wind turbine is a capacity reduction point based on the second power and the second wind speed; The de-capacity type of the target wind turbine generator set is determined according to the number of de-capacity points and / or the angle of wind turbine blades in the target wind turbine generator set, and the ambient temperature of the target wind turbine generator set.
2. The method for identifying the type of wind turbine capacity reduction according to claim 1, characterized in that: The step of converting the first wind speed into a wind speed under standard air density, recorded as a second wind speed, comprises: Combining the first formula, converting the first wind speed into the wind speed under standard air density, recorded as the second wind speed; The first formula is: Among them, V n represents the second wind speed, V1 represents the first wind speed, ρ represents the air density at the location of the wind turbine, ρ b Indicates standard air density.
3. The method for identifying the type of wind turbine capacity reduction according to claim 1, characterized in that: The correcting the first power based on the second wind speed to obtain the second power includes: In combination with a second formula, the first power is corrected based on the second wind speed to obtain a second power; The second formula is: Wherein, P2 represents the second power, P1 represents the first power, V n represents the second wind speed, V bin Represents the wind speed of the wind speed bin point corresponding to the second wind speed.
4. The method for identifying the type of wind turbine capacity reduction according to claim 1, characterized in that: The determining, based on the second power and the second wind speed, whether the wind turbine is a capacity reduction point includes: Obtain a theoretical power value of a wind speed bin point corresponding to the second wind speed; If the quotient of the difference between the theoretical power value and the second power and the theoretical power value is greater than a first preset value, and the difference between the theoretical power value and the second power is greater than a second preset value, and the second power is greater than a third preset value, then the fan is at a derating point.
5. The method for identifying the type of wind turbine capacity reduction according to claim 4, characterized in that: The first preset value ranges from 10% to 15%; the second preset value ranges from 100kW to 200kW; and the third preset value ranges from 20kW to 50kW.
6. The method for identifying the type of wind turbine capacity reduction according to claim 1, characterized in that: Determining the capacity reduction type of the target wind turbine generator set according to the number of capacity reduction points and / or wind turbine blade angles in the target wind turbine generator set and the ambient temperature of the target wind turbine generator set includes: When the number of capacity reduction points in the target wind turbine group exceeds the fourth preset value, if the ambient temperature is greater than 0°C, or if the ambient temperature is less than or equal to 0°C and the wind turbine blade angle is within the first preset range within the preset time, the capacity reduction type of the target wind turbine group is grid capacity reduction; If the ambient temperature is less than or equal to 0°C and the wind turbine blade angle is within a second preset range, the derating type of the target wind turbine set is derating due to environmental factors; wherein the first preset range is 2° to 85°, and the second preset range is -2° to 2°; When the number of derating points in the target wind turbine group is less than or equal to the fourth preset value, if the ambient temperature is greater than 0°C, or if the ambient temperature is less than or equal to 0°C and the wind turbine blade angle is within the first preset range within the preset time, the derating type of the target wind turbine group is manual derating.
7. The method for identifying the type of wind turbine capacity reduction according to claim 1, characterized in that: The method for identifying the type of wind turbine capacity reduction further includes: The derating type of the target wind turbine is displayed, and at the same time, the theoretical power of each wind turbine when operating normally is displayed.
8. A device for identifying the type of capacity reduction of a wind turbine generator set, characterized in that: include: A data acquisition module is used to obtain, for each wind turbine in the target wind turbine group, an average wind speed of the wind turbine within a target time period, recorded as a first wind speed, and to obtain an active power of the wind turbine within the target time period, recorded as a first power; A data operation module, used for converting the first wind speed into a wind speed under a standard air density, recorded as a second wind speed; Correcting the first power based on the second wind speed to obtain a second power; and determining whether the wind turbine is at a capacity reduction point based on the second power; The type determination module is used to determine the de-capacity type of the target wind turbine generator set according to the number of de-capacity points and / or the wind turbine blade angles in the target wind turbine generator set and the ambient temperature of the target wind turbine generator set.
9. A terminal device, comprising: A processor and a memory, wherein the memory stores a computer program that can be run on the processor, and wherein the processor implements the method for identifying the capacity reduction type of a wind turbine set as described in any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method for identifying the derating type of a wind turbine generator set according to any one of claims 1 to 7 is implemented.