Wind turbine generator set limited power index calculation method, electronic equipment and storage medium

Abstract

The invention provides a wind turbine generator set limited power index calculation method, electronic equipment and a storage medium, and the method comprises the steps: configuring wind turbine generator set parameters, including wind turbine generator set function parameters, wind turbine generator set types and information parameters; obtaining a time sequence data table of the wind turbine generator set in a preset time period; according to the time sequence data table, a power generation mark of the wind turbine generator is recognized and extracted, and the power generation mark represents that the wind turbine generator is in a power generation state; according to the time sequence data table, a limited power mark of the wind turbine generator is recognized and extracted, and the limited power mark represents that the wind turbine generator is in a limited power generation state; screening data in the time sequence data table according to the power generation mark and the limited power mark of the wind turbine generator to obtain a target data table; and calculating a limited power index of the wind turbine generator based on the target data table, wherein the limited power index of the wind turbine generator comprises limited power time and generating capacity loss of the wind turbine generator.

Description

Technical Field

[0001] The present invention relates to the field of wind power generation, and in particular to a method for calculating a power limit index of a wind turbine generator set, an electronic device and a storage medium. Background Art

[0002] Wind turbine operators generally use wind turbines from multiple wind turbine manufacturers. Domestic mainstream wind turbine manufacturers have different technical routes such as direct drive, semi-direct drive, and double-fed. There are many wind turbine PLC brands and models. The definitions of wind turbine status information are generally different. The data point tables provided by wind turbine manufacturers to wind turbine operators are also more or less, and the data quality is uneven.

[0003] When wind power operators obtain the power limit marks, power limit times and power limit power generation losses of wind turbines in wind farms within a preset time period (monthly, annual and other time intervals), they encounter a series of constraints, such as different wind turbine technology routes and characteristics of various equipment manufacturers, multiple models, various terrains, and actual machine site characteristics. The adaptability, speed and accuracy of the wind turbine power limit index calculation method for actual wind farm wind turbines has always been one of its key optimization directions.

[0004] Among the existing patents related to the calculation of wind turbine power limit indicators in wind farms: Patent CN115905201 B-"A method for calculating wind turbine power limit losses" relies on the AGC state to identify the power limit state and calculate the power limit losses based on the theoretical power generation calculation; Patent CN106523300B-"A method for assessing wind turbine power loss based on the nacelle anemometer" relies on the wind turbine power limit state to assess the power loss; Patent CN112561234A-"A method and system for quantifying on-site limited power and off-site limited power" obtains less wind turbine data point information, relies on the wind turbine state to assess the limited power loss, and may have large deviations and fluctuations in different wind farms or different machine sites; Patent CN114971313A-"A method for fitting a wind turbine power curve" extracts the power limit state through the blade angle and speed for curve fitting.

[0005] The above existing patent methods have deficiencies in adaptability and accuracy in the calculation method of power limit index, which is mainly manifested in that they do not involve the parameter configuration scheme for calculating the power limit index of wind turbines in wind farms, or rely on the power limit state of wind turbines, or only extract the power limit state through blade angle and speed, and do not involve the statistics of power limit time index, which affects the accuracy of the power limit power generation loss index calculated by the method. Therefore, the existing methods are difficult to meet the wind power operator's wind turbine technology routes, multiple models, various terrains, actual machine site characteristics and wind turbine configurations. A series of restrictive conditions such as wind turbine limit index calculation needs at the wind farm level.

[0006] In view of the above problems, a method for calculating the power limit index of wind turbines in a wind farm, an electronic device and a storage medium are proposed. By adapting to the system parameter configuration of different machine models and machine sites, data acquisition and conversion, power generation mark identification and extraction, power limit mark calculation and synthesis, power limit time calculation, theoretical power curve acquisition, power limit power generation loss calculation and other methods and processes, the adaptability, speed and accuracy of the power limit index calculation of wind turbines in wind farms are improved. Summary of the invention

[0007] The embodiments of the present disclosure aim to solve at least one of the technical problems existing in the prior art, and provide a method for calculating the power limit index of wind turbines in a wind farm, an electronic device and a storage medium, which improve the adaptability, rapidity and accuracy of the power limit index calculation of wind turbines in a wind farm by adapting to system parameter configuration of different machine models and machine sites, data acquisition and conversion, power generation mark identification and extraction, power limit mark calculation and synthesis, power limit time calculation, theoretical power curve acquisition, power limit power generation loss calculation and other methods and processes.

[0008] In a first aspect of the present disclosure, a method for calculating a power limit index of a wind turbine generator system is provided, the method comprising:

[0009] Configure wind turbine parameters, including wind turbine function parameters, wind turbine model and information parameters;

[0010] Obtaining a time series data table of the wind turbine generator set in a preset time period;

[0011] According to the time series data table, identifying and extracting a power generation mark of the wind turbine generator set, wherein the power generation mark indicates that the wind turbine generator set is in a power generation state;

[0012] According to the time series data table, identifying and extracting a power limit mark of the wind turbine generator set, wherein the power limit mark indicates that the wind turbine generator set is in a power limit generation state;

[0013] Filter the data in the time series data table according to the power generation mark and the power limit mark of the wind turbine generator set to obtain a target data table;

[0014] The wind turbine generator set power limit index is calculated based on the target data table, and the wind turbine generator set power limit index includes the power limit time and power generation loss of the wind turbine generator set.

[0015] In combination with the first aspect, the identifying and extracting the power generation mark of the wind turbine generator set includes:

[0016] Check whether the wind turbine has a direct reading function of the power generation status, and if so, directly extract the power generation mark;

[0017] If the wind turbine set does not have a direct reading function of the power generation state, judging whether there is a power generation mark from the PLC state information of the wind turbine set, and if there is, using it as the power generation mark;

[0018] If there is no power generation mark in the PLC status information of the wind turbine set, the time series data satisfying the preset power generation conditions are screened out according to the actual machine site configuration parameters of the wind turbine set, and the power generation mark is extracted.

[0019] In combination with the first aspect, the preset power generation conditions include:

[0020] The actual output power of the wind turbine generator set is greater than a preset actual power lower limit threshold;

[0021] The speed of the wind turbine generator is greater than the product of the cut-in speed and the cut-in speed lower limit coefficient;

[0022] The wind turbine blade angle is less than a preset upper threshold value of the power generation screening blade angle.

[0023] In combination with the first aspect, the identifying and extracting the power limit mark of the wind turbine generator set includes:

[0024] According to the actual site configuration parameters of the wind turbine generator set, time series data satisfying the preset power limit condition is screened out, and a first power limit mark is generated;

[0025] Determine whether the wind turbine generator set has an initial power limit mark, and if so, combine the first power limit mark with the initial power limit mark to obtain a second power limit mark and output the second power limit mark;

[0026] If the wind turbine generator set does not have an initial power limit mark, the first power limit mark is output.

[0027] In combination with the first aspect, the preset power limit condition includes, when the wind turbine generator set is configured with pre-pitch parameters:

[0028] The wind turbine blade angle is greater than the first power limit screening blade angle upper limit threshold;

[0029] The wind turbine power is less than the rated power multiplied by the rated power lower limit coefficient.

[0030] In combination with the first aspect, the preset power limit condition further includes, when the wind turbine generator set is not configured with pre-pitch parameters:

[0031] The wind turbine blade angle is greater than the second power limit screening blade angle upper limit threshold;

[0032] The wind turbine power is less than the rated power multiplied by the rated power lower limit coefficient.

[0033] In combination with the first aspect, the calculating the wind turbine generator set power limit index based on the target data table includes:

[0034] Accumulate the data time difference of the power limit data in the target data table to obtain the power limit time of the wind turbine generator set;

[0035] Obtaining a wind speed-power interpolation table according to the wind speed and power in the theoretical power curve of the wind turbine generator set;

[0036] Calculating the theoretical output power of the wind turbine generator set at the current wind speed according to the wind speed-power interpolation table;

[0037] The power generation loss of the wind turbine set due to power limitation is calculated according to the difference between the theoretical output power and the actual power.

[0038] In combination with the first aspect, the power generation loss of the wind turbine generator set at limited power is calculated according to the theoretical output power using the following formula:

[0039]

[0040] Among them, lim_los is the power generation loss of the wind turbine set under limited power, n is the number of data rows in the target data table, Tinp is the wind speed-power interpolation table, W is the wind speed, P is the actual power, and T_diff is the data time difference.

[0041] According to a second aspect of the present disclosure, there is provided an electronic device, comprising:

[0042] one or more processors;

[0043] The storage unit is used to store one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors can implement any of the above-mentioned methods for calculating the power limit index of a wind turbine generator set.

[0044] According to a third aspect of the present disclosure, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, any of the above-mentioned methods for calculating the power limitation index of a wind turbine generator set can be implemented. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 A schematic diagram of a flow chart of a method for calculating a power limit index of a wind turbine generator system according to an embodiment of the present disclosure;

[0046] Figure 2 for Figure 1 Schematic diagram of the process of step S103;

[0047] Figure 3 This is a schematic diagram of power limiting time of a wind turbine generator set in a wind farm according to an embodiment of the present disclosure;

[0048] Figure 4 It is a schematic diagram of the structure of an electronic device according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0049] Here, exemplary embodiments are described in detail, and examples thereof are shown in the accompanying drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the embodiments of the present disclosure.

[0050] The terms used in the disclosed embodiments are only for the purpose of describing specific embodiments and are not intended to limit the disclosed embodiments. The singular forms of "a", "said" and "the" used in the disclosed embodiments and the appended claims are also intended to include plural forms unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0051] It should be understood that although the terms first, second, third, etc. may be used to describe various information in the disclosed embodiments, these information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of the disclosed embodiments, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0052] like Figure 1 FIG. 1 is a flow chart of a method for calculating a wind turbine power limit index according to an embodiment of the present disclosure. The method comprises the following steps:

[0053] S101: configure wind turbine parameters, including wind turbine function parameters, wind turbine model and information parameters;

[0054] S102: Obtaining a time series data table of the wind turbine generator set in a preset time period;

[0055] S103: identifying and extracting a power generation mark of the wind turbine generator set according to the time series data table, wherein the power generation mark indicates that the wind turbine generator set is in a power generation state;

[0056] S104: identifying and extracting a power limit mark of the wind turbine generator set according to the time series data table, wherein the power limit mark indicates that the wind turbine generator set is in a power limit generation state;

[0057] S105: Filtering the data in the time series data table according to the power generation mark and the power limit mark of the wind turbine generator set to obtain a target data table;

[0058] S106: Calculating the wind turbine generator set power limit index based on the target data table, where the wind turbine generator set power limit index includes the wind turbine generator set power limit time and power generation loss.

[0059] Refer to the following Figure 2-Figure 4 The method is described in detail.

[0060] The functional parameters of wind turbines are universal parameters, including wind speed selection, wind direction selection, wind speed standardization enablement, etc. According to different equipment manufacturers and models, the wind farm model parameters are configured, including the wind farm model, cut-in speed, optimal blade angle, actual power lower limit threshold, cut-in speed lower limit coefficient, power generation screening blade angle threshold, power limit screening blade angle allowable error, rated power lower limit coefficient, wind direction mode, available sector range, pre-variable pitch parameters, etc. According to the specific information of each wind turbine in the wind farm, the configuration includes the wind farm wind turbine number, model, rated power, etc.

[0061] Obtain a time series data table of the wind turbine generator set in a preset time period.

[0062] Specifically, the preset time period is generally a time interval such as a month or a week; the time series data table of the preset time period should include data points such as the wind farm number, wind turbine number, data timestamp, wind speed, power, generator speed, blade angle, wind turbine PLC status, etc.

[0063] If there are data points such as power limit status, power generation status, air density, etc., they are also read into the time series data table, and a new time series data table is formed through processes such as data standard name conversion, wind speed and direction source selection, wind speed standardization selection, data time sorting, and data time difference calculation.

[0064] Furthermore, due to the differences in definitions of different OEMs, the power limit status of some models in the time series data table does not distinguish between grid-connected and non-grid-connected, and the power limit index calculation is performed under the condition of wind turbine power generation (i.e. grid-connected state). Therefore, it is necessary to use the power generation tag to filter the time series data table. Figure 2 .

[0065] like Figure 2 As shown, Figure 1 The process diagram of step S103 in FIG. The steps include:

[0066] S201: determining whether the wind turbine generator set has a direct reading function of the power generation status, and if so, directly extracting the power generation mark; if the wind turbine generator set does not have the direct reading function of the power generation status, proceeding to the next step;

[0067] S202: Determine whether there is a power generation mark in the PLC status information of the wind turbine generator set. If so, it is used as a power generation mark. If not, proceed to the next step.

[0068] S203: Filtering out time series data that meets preset power generation conditions according to actual site configuration parameters of the wind turbine generator set;

[0069] S204: Extracting power generation marks.

[0070] Specifically, in the actual analysis of the power generation operator, due to the differences in the whole machine manufacturers and models, data transmission and other limitations, some on-site wind turbines do not have wind turbine operation information such as power generation status (recorded as Prodtag0);

[0071] At this time, Prodtag0 is further extracted from the fan PLC status. If Prodtag0 can be extracted from the fan PLC status, then Prodtag = Prodtag0;

[0072] If not, identify and extract a new power generation tag (recorded as Prodtag1) from the time series data table through parameter information such as the cut-in speed, actual power lower limit threshold, cut-in speed lower limit coefficient, power generation screening blade angle threshold, etc. in the actual machine site wind turbine configuration, and update Prodtag1 in the time series data table;

[0073] According to the actual site configuration parameters of the wind turbine, the time series data that meets the preset power generation conditions are screened out, and the power generation mark is extracted. The preset power generation conditions include that the actual output power of the wind turbine is greater than the preset actual power lower limit threshold; the generator speed of the wind turbine is greater than the product of the cut-in speed and the cut-in speed lower limit coefficient; the wind turbine blade angle is less than the preset power generation screening blade angle upper limit threshold.

[0074] It should be noted that those skilled in the art can set the preset power generation conditions according to specific working conditions, and this embodiment does not impose any specific limitation thereto.

[0075] Furthermore, a power limit mark is extracted, and the power limit mark indicates that the wind turbine generator set is in a power limit generation state.

[0076] Considering that the power limit status records of some on-site models do not include all power limit scenarios (for example, blade angle protection data is not included), a new power limit tag (denoted as Limtag1) will be generated regardless of whether the on-site data source has an initial power limit state (denoted as Limtag0).

[0077] Specifically, according to the actual site configuration parameters of the wind turbine generator set, the time series data satisfying the preset power limit condition is screened out, and a first power limit tag (L imtag1 ) is generated.

[0078] Among them, the preset power limit conditions include, when the wind turbine is configured with pre-pitch parameters: the wind turbine pitch angle is greater than the first power limit screening pitch angle upper limit threshold; the wind turbine power is less than the rated power multiplied by the rated power lower limit coefficient.

[0079] When the wind turbine generator set is not configured with pre-pitch parameters: the wind turbine generator set pitch angle is greater than the second power limit screening pitch angle upper limit threshold; the wind turbine generator set power is less than the rated power multiplied by the rated power lower limit coefficient.

[0080] Preferably, the first power-limited-screening propeller angle upper limit threshold is equal to the sum of the propeller angle obtained by looking up the pre-pitch parameter table and the allowable error of the power-limited-screening propeller angle, and the second power-limited-screening propeller angle upper limit threshold is equal to the sum of the optimal propeller angle and the allowable error of the power-limited-screening propeller angle.

[0081] Among them, the optimal blade angle can be obtained according to the design data of the wind turbine.

[0082] Furthermore, it is determined whether the wind turbine generator set has an initial power limit mark. If so, the first power limit mark and the initial power limit mark are combined to obtain a second power limit mark and output it.

[0083] Taking a certain wind farm as an example, Limtag0 includes four categories: wind turbine power limit, SCADA power limit, AGC power limit, and other power limits. When not set (that is, when the state is not activated), it is 0. When set (activated), the four types of power limits are represented by values ​​1, 2, 4, and 8 respectively.

[0084] The Limtag1 classification mark is the data filtering limit power, which is 0 when not set and is represented by a value of 1 when set.

[0085] The synthesized power limit tag L imtag will contain 5 categories (wind turbine power limit, SCADA power limit, AGC power limit, other power limit, data screening power limit), which are represented by values ​​1, 2, 4, 8, and 16 respectively.

[0086] These values ​​can be combined by addition to indicate that multiple power limiting states are activated simultaneously. For example, if wind turbine power limiting and SCADA power limiting are activated simultaneously, the value of Limtag0 is 1+2=3.

[0087] Through the synthesized power limit tag Limtag, power limit states from different sources can be represented in one tag. This method simplifies multiple power limit states into one value, which is convenient for analyzing and recording the power limit state of the wind farm, and can accurately distinguish different types of power limit events and their combinations.

[0088] If the wind turbine generator set does not have an initial power limit mark, the first power limit mark is output.

[0089] Furthermore, the grid-connected data and the power-limited data in the time series data table are filtered according to the power generation mark and the power-limited mark to obtain a target data table.

[0090] According to the data time difference T_diff in the target data table, the power limit time limsum is accumulated.

[0091]

[0092] Where n is the number of data rows in the target data table.

[0093] Optionally, after filtering by power limit mark, the classification time of different power limits is calculated. For example, lim1~lim5 can correspond to the wind turbine power limit time, SCADA power limit time, AGC power limit time, other power limit time, and data screening power limit time, respectively, and the calculation method is the same as the above formula. This situation can be described as:

[0094]

[0095] Where m is the number of power-limited categories.

[0096] Furthermore, a theoretical power curve synthesized based on the actual power curve, wind frequency, reference curve and other information of the current wind turbine is obtained, and a wind speed-power interpolation table is obtained based on the wind speed and power in the theoretical power curve.

[0097] Specifically, the wind speed range of the theoretical power curve [W d0 , W dn ] is the interpolation interval, and the corresponding power in the wind speed interval is [P d0 , P dn ], where n+1 is the number of wind speed intervals of the theoretical power curve.

[0098] The wind speed interval [W d0 , W dn ] is divided into n small segments, in each small segment [W di－1 , W di ](i=1,2,…,n), the linear interpolation formula for this segment is:

[0099]

[0100] Where Tinp(x) is the interpolation table, x is the actual wind speed, and i is the interpolation point. The interpolation segment to be used is selected according to the following method:

[0101]

[0102] That is, if the interpolation point x does not exceed W d1 , use [Wd0 , W d1 ] Perform linear interpolation; if the interpolation point x exceeds W dn , use [W n－1 , W n ] for linear interpolation; in other cases, linear interpolation is performed using the wind speed segment corresponding to x.

[0103] The theoretical output power of the wind turbine generator set at the current wind speed is calculated according to the wind speed-power interpolation table.

[0104] The calculation formula of limited power generation loss lim_los is:

[0105]

[0106] Among them, lim_los is the power generation loss of the wind turbine set under limited power, n is the number of data rows in the target data table, Tinp is the wind speed-power interpolation table, W is the wind speed, P is the actual power, and T_diff is the data time difference.

[0107] Optionally, after filtering by power limit mark, the power generation loss calculation for different power limits is performed.

[0108] For example, lim_los1 to lim_los5 can correspond to wind turbine power-limited power generation loss, SCADA power-limited power generation loss, AGC power-limited power generation loss, other power-limited power generation loss, and data screening power-limited power generation loss, respectively. The calculation method is the same as the above formula. This situation can be described as:

[0109]

[0110] Where m is the number of power-limited categories.

[0111] Optionally, the calculation results of the power limit index can be stored. Draw a schematic diagram of the power limit index of the wind turbine in the wind farm. For example, when the data source of a wind turbine in a certain wind farm is in an unlimited power state in a certain month, the power limit time schematic diagram is obtained by identifying and extracting the power limit mark. Figure 3 .

[0112] The embodiments of the present invention provide a method for calculating the power limit index of wind turbines in a wind farm, an electronic device and a storage medium, which improve the adaptability, rapidity and accuracy of the power limit index calculation of wind turbines in a wind farm by adapting to system parameter configuration of different machine models and machine sites, data acquisition and conversion, power generation mark identification and extraction, power limit mark calculation and synthesis, power limit time calculation, theoretical power curve acquisition, power limit power generation loss calculation and other methods and processes.

[0113] The electronic device 400 may be a desktop computer, a notebook, a PDA, a cloud server, or other electronic device. The electronic device 400 may include, but is not limited to, a processor 401 and a memory 402. Those skilled in the art will appreciate that Figure 4 It is only an example of the electronic device 400 and does not constitute a limitation of the electronic device 400. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the electronic device may also include input and output devices, network access devices, buses, etc.

[0114] The processor 401 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.

[0115] The memory 402 may be an internal storage unit of the electronic device 400, for example, a hard disk or memory of the electronic device 400. The memory 402 may also be an external storage device of the electronic device 400, for example, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device 400. Further, the memory 402 may also include both an internal storage unit of the electronic device 400 and an external storage device. The memory 402 is used to store the computer program 403 and other programs and data required by the electronic device. The memory 402 may also be used to temporarily store data that has been output or is to be output.

[0116] Those skilled in the art 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 embodiments can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into 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 the present disclosure. 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.

[0117] 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.

[0118] 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 disclosure.

[0119] In the embodiments provided in the present disclosure, it should be understood that the disclosed devices / electronic devices and methods can be implemented in other ways. For example, the device / electronic device embodiments described above are merely schematic. For example, the division of modules or units is only a logical function division. There may be other division methods in actual implementation. Multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, indirect coupling or communication connection of devices or units, which may be electrical, mechanical or other forms.

[0120] 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.

[0121] In addition, each functional unit in each embodiment of the present disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0122] If the integrated module / 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 disclosure implements all or part of the processes in the above-mentioned embodiment method, and can also 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. The computer program may include computer program code, and the computer program code may be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electric carrier signals and telecommunication signals.

[0123] The above embodiments are only used to illustrate the technical solutions of the present disclosure, rather than to limit them. Although the present disclosure has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These 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 disclosure, and should all be included in the protection scope of the present disclosure.

Claims

1. A method for calculating the power limit index of a wind turbine generator set, characterized in that: The following steps are involved: Configure wind turbine parameters, including wind turbine function parameters, wind turbine model and information parameters; Obtaining a time series data table of the wind turbine generator set in a preset time period; According to the time series data table, identifying and extracting a power generation mark of the wind turbine generator set, wherein the power generation mark indicates that the wind turbine generator set is in a power generation state; According to the time series data table, identifying and extracting a power limit mark of the wind turbine generator set, wherein the power limit mark indicates that the wind turbine generator set is in a power limit generation state; Filter the data in the time series data table according to the power generation mark and the power limit mark of the wind turbine generator set to obtain a target data table; The wind turbine generator set power limit index is calculated based on the target data table, and the wind turbine generator set power limit index includes the power limit time and power generation loss of the wind turbine generator set.

2. The method according to claim 1, characterized in that The identifying and extracting the power generation mark of the wind turbine generator set comprises: Check whether the wind turbine has a direct reading function of the power generation status, and if so, directly extract the power generation mark; If the wind turbine set does not have a direct reading function of the power generation status, then judging whether there is a power generation mark from the PLC status information of the wind turbine set, and if there is, then using it as the power generation mark; If there is no power generation mark in the PLC status information of the wind turbine set, the time series data satisfying the preset power generation conditions are screened out according to the actual machine site configuration parameters of the wind turbine set, and the power generation mark is extracted.

3. The method according to claim 2, characterized in that The preset power generation conditions include: The actual output power of the wind turbine generator set is greater than a preset actual power lower limit threshold; The speed of the wind turbine generator is greater than the product of the cut-in speed and the cut-in speed lower limit coefficient; The wind turbine blade angle is less than a preset upper threshold value of the power generation screening blade angle.

4. The method according to claim 1, characterized in that The identifying and extracting the power limit mark of the wind turbine generator set comprises: According to the actual machine site configuration parameters of the wind turbine generator set, time series data satisfying the preset power limit condition is screened out, and a first power limit mark is generated; Determine whether the wind turbine generator set has an initial power limit mark, and if so, combine the first power limit mark with the initial power limit mark to obtain a second power limit mark and output the second power limit mark; If the wind turbine generator set does not have an initial power limit mark, the first power limit mark is output.

5. The method according to claim 4, characterized in that The preset power limit condition includes, when the wind turbine generator set is configured with pre-pitch parameters: The wind turbine blade angle is greater than a first power limit screening blade angle upper limit threshold; The wind turbine power is less than the rated power multiplied by the rated power lower limit coefficient.

6. The method according to claim 4, characterized in that The preset power limit condition also includes, when the wind turbine generator set is not configured with pre-pitch parameters: The wind turbine blade angle is greater than the second power limit screening blade angle upper limit threshold; The wind turbine power is less than the rated power multiplied by the rated power lower limit coefficient.

7. The method according to claim 1, characterized in that Calculating the wind turbine generator set power limit index based on the target data table includes: Accumulate the data time difference of the power limit data in the target data table to obtain the power limit time of the wind turbine generator set; Obtaining a wind speed-power interpolation table according to the wind speed and power in the theoretical power curve of the wind turbine generator set; Calculating the theoretical output power of the wind turbine generator set at the current wind speed according to the wind speed-power interpolation table; The power generation loss of the wind turbine set due to power limitation is calculated according to the difference between the theoretical output power and the actual power.

8. The method according to claim 7, characterized in that The following formula is used to calculate the power generation loss of the wind turbine generator set at limited power according to the theoretical output power: Among them, lim_los is the power generation loss of the wind turbine set under limited power, n is the number of data rows in the target data table, Tinp is the wind speed-power interpolation table, W is the wind speed, P is the actual power, and T_diff is the data time difference.

9. An electronic device, characterized in that: include: one or more processors; A storage unit is used to store one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors can implement the method for calculating the power limit index of a wind turbine according to any one of claims 1 to 8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, it can implement the method for calculating the power limitation index of a wind turbine generator set according to any one of claims 1 to 8.

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