Method and system for determining loss value of wind power plant level generating capacity

Abstract

The invention provides a method and a system for determining a wind power plant level generating capacity loss value. The method comprises the following steps: acquiring wind speed data, generating power data and reference power data of each wind turbine generator in a wind power plant at each moment in a preset time period; determining corresponding wind frequency data and actual power data of each wind turbine generator set in the preset time period according to the wind speed data and the power generation power data of each wind turbine generator set at each moment in the preset time period; determining a theoretical power curve of each wind turbine generator set in the preset time period according to the corresponding wind frequency data, the actual power data and the reference power data of each wind turbine generator set in the preset time period; according to the theoretical power curve of each wind turbine generator set in the preset time period, determining the generating capacity loss value of each wind turbine generator set in the preset time period; and determining the generating capacity loss value of the wind power plant based on the generating capacity loss value. According to the technical scheme provided by the invention, the adaptability, rapidity and accuracy of wind power plant level generating capacity loss calculation are improved.

Description

Technical Field

[0001] The present application relates to the field of wind power generation, and in particular to a method and system for determining a wind farm-level power generation loss value. Background Art

[0002] Wind turbine operators typically source their wind turbines from multiple wind turbine manufacturers. Mainstream domestic wind turbine manufacturers offer different technology approaches, including direct drive, semi-direct drive, and dual-fed (DFIG). They offer a wide variety of wind turbine PLC brands and models, and the definitions of wind turbine status information vary widely. Consequently, wind turbine manufacturers provide wind turbine operators with varying data point tables, often with varying data quality. Furthermore, wind resources may vary from turbine to turbine site, and potential differences arise from factors such as the wind energy utilization coefficient (Cp) of specific wind turbines, the measurement characteristics of wind speed and direction instruments from different brands, sensor installation errors, and the wind speed transfer function of the nacelle. Utilizing a unified theoretical power curve to calculate wind turbine power loss will result in certain deviations.

[0003] When analyzing wind turbine power loss in a wind farm over a preset time period (monthly, annual, or other time intervals), wind power operators face a series of constraints, including different wind turbine technology routes and characteristics among various wind turbine manufacturers, multiple models, various terrains, and actual turbine site characteristics. Therefore, the adaptability, speed, accuracy, and automation of power loss calculation methods for actual wind farm wind turbines have always been one of their key optimization directions.

[0004] The existing wind farm wind turbine power generation loss calculation has deficiencies in adaptability to different wind farm models, power curve accuracy, and wind speed correction consistency. At the same time, the power loss calculation is complex, and the calculated power generation loss deviates greatly from the actual loss. Therefore, it is urgent to propose a fast, accurate, adaptable and highly automated wind farm-level power generation loss value determination scheme. Summary of the Invention

[0005] The present application provides a method and system for determining wind farm-level power generation loss values, in order to at least solve the existing technical problems of large calculation deviation, slow calculation speed, low adaptability and low automation level.

[0006] The first embodiment of the present application provides a method for determining a wind farm-level power generation loss value, the method comprising:

[0007] Obtain wind speed data, power generation data, and reference power data for each wind turbine in the wind farm at each moment within a preset time period;

[0008] Determining the wind frequency data and actual power data corresponding to each wind turbine generator set within the preset time period according to the wind speed data and power generation data of each wind turbine generator set at each moment within the preset time period;

[0009] Determining a theoretical power curve of each wind turbine generator set within a preset period of time according to the wind frequency data, actual power data and reference power data corresponding to each wind turbine generator set within a preset period of time;

[0010] Determining the power generation loss value of each wind turbine generator set within the preset time period according to the theoretical power curve of each wind turbine generator set within the preset time period;

[0011] The power generation loss value of the wind farm is determined based on the power generation loss value of each wind turbine generator set within a preset time period.

[0012] Preferably, the determining of the wind frequency data and actual power data corresponding to each wind turbine generator set within a preset period of time according to the wind speed data and power generation data of each wind turbine generator set at each moment within a preset period of time includes:

[0013] Based on the wind speed data of each wind turbine generator set at each moment in the preset time period and using the Bien method, the wind frequency data corresponding to each wind turbine generator set in the preset time period is determined;

[0014] Determining the corresponding average power generation value of each wind speed interval according to the power generation data of each wind turbine at each moment in a preset time period;

[0015] The corresponding average value of the generated power in the wind speed interval is used as the corresponding actual power data of each wind speed interval.

[0016] Furthermore, determining the theoretical power curve of each wind turbine generator set within the preset time period according to the wind frequency data, actual power data and reference power data corresponding to each wind turbine generator set within the preset time period includes:

[0017] Merging the wind frequency data and actual power data corresponding to each wind turbine generator set within a preset time period to obtain a synthetic data of each wind turbine generator set within the preset time period;

[0018] The primary synthetic data of each wind turbine generator set in a preset period of time is respectively combined with the reference power data corresponding to each wind turbine generator set in the preset period of time to obtain a theoretical power curve of each wind turbine generator set in the preset period of time.

[0019] Furthermore, determining the power generation loss value of each wind turbine generator set within the preset time period according to the theoretical power curve of each wind turbine generator set within the preset time period includes:

[0020] Determine the power limit loss of each wind turbine generator set within the preset time period according to the power limit mark, power generation mark, and theoretical power curve of each wind turbine generator set at each moment within the preset time period;

[0021] Determine the power generation loss of each wind turbine generator set that is not connected to the grid during the preset time period based on the theoretical power curve of each wind turbine generator set at each moment during the preset time period, the total time corresponding to each wind turbine generator set in each wind speed interval, and the power generation time corresponding to each wind turbine generator set in each wind speed interval;

[0022] The power generation loss value of each wind turbine generator set within the preset time period is determined based on the power generation loss of each wind turbine generator set within the preset time period and the power generation loss of each wind turbine generator set not connected to the grid.

[0023] Furthermore, the determining of the non-grid-connected power generation loss of each wind turbine generator set within the preset time period based on the theoretical power curve of each wind turbine generator set at each moment within the preset time period, the total time corresponding to each wind turbine generator set in each wind speed interval, and the power generation time corresponding to each wind turbine generator set in each wind speed interval includes:

[0024] Determining a second theoretical power generation of each wind turbine generator set within the preset time period according to a theoretical power curve of each wind turbine generator set at each moment within the preset time period and a total time duration corresponding to each wind turbine generator set in each wind speed interval;

[0025] determining a third theoretical power generation of each wind turbine generator set within the preset time period according to a theoretical power curve of each wind turbine generator set at each moment within the preset time period and a power generation duration corresponding to each wind turbine generator set in each wind speed interval;

[0026] The non-grid-connected power generation loss of each wind turbine generator set within the preset time period is determined based on the second theoretical power generation and the third theoretical power generation of each wind turbine generator set within the preset time period.

[0027] Furthermore, determining the power generation loss value of the wind farm based on the power generation loss value of each wind turbine generator set within a preset time period includes:

[0028] Determining the sum of power generation loss values ​​of each wind turbine generator set within a preset time period;

[0029] The sum of the power generation loss values ​​of the wind turbines within a preset time period is used as the power generation loss value of the wind farm.

[0030] Furthermore, the method further comprises:

[0031] Obtaining a first theoretical power generation of each wind turbine generator set within a preset time period;

[0032] The first statistical deviation value, the second statistical deviation value and the third statistical deviation value are determined according to the first theoretical power generation, the second theoretical power generation, the third theoretical power generation, the power generation loss with limited power and the power generation loss not connected to the grid of each wind turbine generator set within a preset time period.

[0033] Furthermore, the method further comprises:

[0034] The limited power generation loss equivalent hours and the non-grid-connected power generation loss equivalent hours of the wind farm are determined according to the limited power generation loss and non-grid-connected power generation loss of each wind turbine in a preset time period.

[0035] A second embodiment of the present application provides a system for determining a wind farm-level power generation loss value, comprising:

[0036] An acquisition module is used to obtain wind speed data, power generation data and reference power data of each wind turbine in the wind farm at each moment within a preset time period;

[0037] A first determining module is used to determine the wind frequency data and actual power data corresponding to each wind turbine in the preset time period according to the wind speed data and power generation data of each wind turbine at each moment in the preset time period;

[0038] A second determining module is configured to determine a theoretical power curve of each wind turbine generator set within a preset period of time based on the wind frequency data, actual power data and reference power data corresponding to each wind turbine generator set within a preset period of time;

[0039] A third determining module is configured to determine a power generation loss value of each wind turbine generator set within a preset period of time based on a theoretical power curve of each wind turbine generator set within a preset period of time;

[0040] The fourth determining module is configured to determine the power generation loss value of the wind farm based on the power generation loss value of each wind turbine generator set within a preset time period.

[0041] Preferably, the first determining module includes:

[0042] A first determining unit is configured to determine the wind frequency data corresponding to each wind turbine generator set within the preset time period based on the wind speed data of each wind turbine generator set at each moment within the preset time period and using the Bien method;

[0043] A second determining unit is configured to determine a corresponding average power generation value for each wind speed interval based on the power generation data of each wind turbine generator set at each moment within a preset time period;

[0044] The third determining unit is configured to use the average value of the generated power corresponding to the wind speed interval as the actual power data corresponding to each wind speed interval.

[0045] The technical solutions provided by the embodiments of this application bring at least the following beneficial effects:

[0046] The present application proposes a method and system for determining wind farm-level power generation loss values, wherein the method includes: obtaining wind speed data, power generation data, and reference power data of each wind turbine in the wind farm at each moment in a preset time period; determining the wind frequency data and actual power data corresponding to each wind turbine in the preset time period based on the wind speed data and power generation data of each wind turbine at each moment in the preset time period; determining the theoretical power curve of each wind turbine in the preset time period based on the wind frequency data, actual power data, and reference power data corresponding to each wind turbine in the preset time period; determining the power generation loss value of each wind turbine in the preset time period based on the theoretical power curve of each wind turbine in the preset time period; and determining the power generation loss value of the wind farm based on the power generation loss value of each wind turbine in the preset time period. The technical solution proposed in the present application improves the adaptability, speed, and accuracy of wind farm-level power generation loss calculation.

[0047] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0049] Figure 1 This is a flow chart of a method for determining a wind farm-level power generation loss value according to one embodiment of the present application;

[0050] Figure 2 A detailed flow chart of a method for determining a wind farm-level power generation loss value according to one embodiment of the present application;

[0051] Figure 3 A schematic diagram of system parameter configuration according to an embodiment of the present application;

[0052] Figure 4 A schematic diagram of the distribution of equivalent hours of non-grid-connected power generation loss over wind speed ranges according to one embodiment of the present application;

[0053] Figure 5 This is a first structural diagram of a system for determining a wind farm-level power generation loss value according to one embodiment of the present application;

[0054] Figure 6 This is a structural diagram of a first determination module provided according to one embodiment of the present application;

[0055] Figure 7 This is a structural diagram of a third determination module provided according to one embodiment of the present application;

[0056] Figure 8 This is a second structural diagram of a system for determining a wind farm-level power generation loss value according to one embodiment of the present application;

[0057] Figure 9 This is a third structural diagram of a system for determining a wind farm-level power generation loss value according to an embodiment of the present application. DETAILED DESCRIPTION

[0058] The following describes in detail embodiments of the present application, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0059] The present application proposes a method and system for determining wind farm-level power generation loss values, wherein the method comprises: obtaining wind speed data, power generation data, and reference power data of each wind turbine in the wind farm at each moment within a preset time period; determining the corresponding wind frequency data and actual power data of each wind turbine in the preset time period based on the wind speed data and power generation data of each wind turbine in the preset time period; determining the theoretical power curve of each wind turbine in the preset time period based on the corresponding wind frequency data, actual power data, and reference power data of each wind turbine in the preset time period; determining the power generation loss value of each wind turbine in the preset time period based on the theoretical power curve of each wind turbine in the preset time period; and determining the power generation loss value of the wind farm based on the power generation loss value of each wind turbine in the preset time period. The technical solution proposed in the present application improves the adaptability, speed, and accuracy of wind farm-level power generation loss calculation.

[0060] The following describes a method and system for determining a wind farm-level power generation loss value according to an embodiment of the present application with reference to the accompanying drawings.

[0061] Example 1

[0062] Figure 1 This is a flow chart of a method for determining a wind farm-level power generation loss value according to one embodiment of the present application. Figure 1 As shown, the method includes:

[0063] Step 1: Obtain wind speed data, power generation data, and reference power data of each wind turbine in the wind farm at each moment within a preset time period.

[0064] It should be noted that if Figure 2 As shown, before step 1, it also includes: system parameter configuration;

[0065] The system parameter configuration includes: function parameter configuration, wind farm model parameter configuration, wind farm model reference curve configuration, wind farm wind turbine information configuration, etc. Figure 3 .

[0066] 201: Function parameter configuration mainly includes general parameters, including wind speed selection, wind direction selection, wind speed standardization enablement, power generation loss deviation threshold, etc.

[0067] 202: Configure wind farm model parameters according to different equipment manufacturers and models, including wind farm model, cut-in speed, optimal blade angle, wind direction mode, available sector range, pre-variable pitch parameters, etc.

[0068] 203: Set reference curves corresponding to wind farm models based on different equipment manufacturers and models.

[0069] 204: Configure according to the specific information of each wind turbine in the wind farm, including the wind turbine number, model, Pn, etc.

[0070] In the embodiment of the present disclosure, the step 1 may specifically include: Figure 2 103 and 104 shown, wherein the 103 specifically includes:

[0071] 1) Obtain a time series data table for a preset time period; the preset time period is generally a monthly or weekly time interval. The time series data table for this preset time period should include data points such as wind farm number, wind turbine number, data timestamp, wind speed, wind direction, power, generator speed, blade angle, nacelle position, and wind turbine PLC status. If data points such as power limit status, power generation status, power curve data mark, and air density are available, they should also be read into the time series data table.

[0072] 2) Eliminate abnormal data;

[0073] 3) Wind farm wind turbine data comes from various data sources, including centralized control data, SCADA data, and wind turbine equipment data. The names of the data points vary, so standard name conversion of the data points is required.

[0074] 4) According to the wind speed selection parameters, the actual wind speed source used can be the wind speed of the wind turbine nacelle anemometer at the machine site, the wind speed of the wind radar, or the wind speed of the wind tower near the machine site;

[0075] 5) According to the wind direction selection parameters, the actual wind direction source used can be the wind direction measured by the nacelle anemometer of the wind turbine at the machine site or the wind direction measured by the wind radar;

[0076] 6) If wind speed normalization is enabled: First, determine whether to normalize the wind speed based on the air density based on whether an air density data point exists in the time series data table. Second, if no air density data point exists, calculate a simplified air density based on the ambient temperature before normalizing the wind speed. Because the theoretical power curve and power loss calculations require the synthesis of the wind frequency and actual power curve, the wind speed actually used in the wind frequency, power curve, and other calculations for wind turbine power loss calculations must either be standardized or unstandardized.

[0077] 7) Sort the time series data table by timestamp and calculate the time difference of each data item for use in the subsequent steps to calculate wind frequency and power generation based on time accumulation.

[0078] 104 specifically includes:

[0079] In the actual analysis of power generation operators, due to the differences in complete machine manufacturers and models, and the limitations of data transmission, some sites do not have wind turbine operating status information such as power generation status and power limit status. Taking into account the adaptability of the power generation loss calculation function to wind turbines at different sites and different machine locations, the optimal blade angle, cut-in speed, pre-pitch parameters and other parameter information in the actual machine location wind turbine configuration can be used to identify and extract new power generation marks and power limit marks from the time series data table without relying on wind turbine status information. Optionally, the power limit mark and the power limit status of the time series data table are synthesized (if not, the new mark is used directly). Finally, the power generation mark and power limit mark actually used are obtained.

[0080] Step 2: Determine the wind frequency data and actual power data corresponding to each wind turbine generator set within the preset time period based on the wind speed data and power generation data of each wind turbine generator set at each moment within the preset time period.

[0081] In the embodiment of the present disclosure, step 2 specifically includes:

[0082] Step 2-1: Based on the wind speed data of each wind turbine at each moment in a preset time period, the wind frequency data corresponding to each wind turbine in the preset time period is determined by using the Bien method;

[0083] Step 2-2: determining the corresponding average power generation value of each wind speed interval based on the power generation data of each wind turbine at each moment in a preset time period;

[0084] Step 2-3: taking the corresponding average value of the generated power of the wind speed interval as the corresponding actual power data of each wind speed interval.

[0085] It should be noted that step 2 may include Figure 2 105 and 106 shown in FIG.

[0086] The 105 include:

[0087] According to the Bien method, the wind speed is divided into multiple wind speed bin intervals according to the interval length (generally 0.5m / s), and the cumulative total time, cumulative power generation time and wind frequency in each wind speed interval are counted. Among them, the wind frequency f(i) in the i-th wind speed interval (represented by W(i)) is calculated as follows: Where, t i is the cumulative total time of the i-th wind speed interval, that is, the total duration of the wind speed interval, and N is the number of wind speed intervals.

[0088] The 106 includes:

[0089] In the calculation of power loss, whether the actual power curve is the power curve corresponding to the normalized wind speed has a certain impact on the accuracy of the calculation results. It is an optional step for the calculation of power loss at the wind farm level. The statistical process of the actual power curve:

[0090] 1) Data is screened based on the available sectors, wind deviation threshold, and other parameter information in the actual turbine configuration at the actual site, combined with the actual wind direction, blade angle, generator speed, power limit mark, power generation mark, and power curve data mark;

[0091] 2) The filtered wind speed is divided into multiple wind speed bin intervals according to the interval length (generally 0.5m / s), and the power mean in each wind speed interval is calculated to obtain the actual power curve.

[0092] Step 3: Determine a theoretical power curve of each wind turbine generator set within the preset time period according to the wind frequency data, actual power data and reference power data corresponding to each wind turbine generator set within the preset time period.

[0093] In the embodiment of the present disclosure, step 3 specifically includes:

[0094] Step 3-1: merging the wind frequency data and actual power data corresponding to each wind turbine in a preset time period to obtain a synthetic data of each wind turbine in the preset time period;

[0095] Step 3-2: respectively merging the primary synthetic data of each wind turbine generator set within a preset period with the corresponding reference power data of each wind turbine generator set within the preset period to obtain a theoretical power curve of each wind turbine generator set within the preset period.

[0096] It should be noted that the step 3 may include Figure 2 107 shown;

[0097] The 107 specifically includes:

[0098] In actual wind farms, there are situations where wind turbines at some locations are always operating at limited power during a preset time period, or there is no power generation data in some wind speed ranges due to wind turbine component failures. Considering the adaptability of the power loss calculation function, the methods mentioned in existing patents are insufficient in this regard. The calculated power loss may be too low in such cases, greatly affecting the accuracy of the calculation. Therefore, it is necessary to synthesize a theoretical power curve based on the actual power curve, the reference curve, and all wind frequencies covering the preset time period. The synthesis process of the theoretical power curve:

[0099] 1) Check the wind speed range in the wind frequency according to the preset boundaries (depending on the aircraft model, the general boundary is >0 and not more than 25m / s), and eliminate the values ​​exceeding the boundaries;

[0100] 2) A single synthesis of actual power curve and wind frequency;

[0101] 3) Secondary synthesis of the reference curve and the primary synthesis result.

[0102] Step 4: Determine the power generation loss value of each wind turbine generator set within the preset time period according to the theoretical power curve of each wind turbine generator set within the preset time period.

[0103] In the embodiment of the present disclosure, step 4 specifically includes:

[0104] Step 4-1: determining the power limit generation loss of each wind turbine generator set within the preset time period according to the power limit mark, power generation mark, and theoretical power curve of each wind turbine generator set at each moment within the preset time period;

[0105] It should be noted that step 4-1 may include Figure 2 108 shown;

[0106] The 108 specifically includes:

[0107] 1) Filter and obtain power limit data based on power limit mark, power generation mark, etc.;

[0108] 2) Calculating the difference between theoretical power and actual power in the power limit data, and combining it with the data collection interval, to obtain the power limit power generation loss in a preset time period; optionally, further classifying the power limit power generation loss according to the wind turbine power limit mark, for example: if the wind turbine power limit mark at the machine site includes wind turbine self power limit, AGC power limit, SCADA power limit, other power limit, and data screening power limit, then the power limit power generation loss can also be divided into wind turbine self power limit power generation loss, AGC power limit power generation loss, SCADA power limit power generation loss, other power limit power generation loss, data screening power limit power generation loss, etc.;

[0109] The calculation formula of limited power generation loss lim_los is: Where Tinp(W(k))-P(k) is the difference between theoretical power and actual power, and T_diff(k) is the data acquisition interval.

[0110] 3) Optionally, based on the actual rated power of the wind turbine at the unit site, the power-limited power generation loss is converted into equivalent hours of power-limited power generation loss, where equivalent hours of power-limited power generation loss = power-limited power generation loss / actual rated power of the wind turbine at the unit site.

[0111] Step 4-2: Determine the power generation loss of each wind turbine generator set that is not connected to the grid during the preset time period based on the theoretical power curve of each wind turbine generator set at each moment during the preset time period, the total time corresponding to each wind turbine generator set in each wind speed interval, and the power generation time corresponding to each wind turbine generator set in each wind speed interval;

[0112] Furthermore, the step 4-2 includes:

[0113] Step 4-2-1: Determine a second theoretical power generation of each wind turbine generator set within the preset time period based on the theoretical power curve of each wind turbine generator set at each moment within the preset time period and the total time corresponding to each wind turbine generator set in each wind speed interval;

[0114] Step 4-2-2: Determine a third theoretical power generation of each wind turbine generator set within the preset time period based on the theoretical power curve of each wind turbine generator set at each moment within the preset time period and the power generation duration of each wind turbine generator set in each wind speed interval;

[0115] Step 4-2-3: Determine the non-grid-connected power generation loss of each wind turbine generator set within the preset time period based on the second theoretical power generation and the third theoretical power generation of each wind turbine generator set within the preset time period.

[0116] Step 4-3: Determine the power generation loss value of each wind turbine generator set within the preset period based on the power generation loss of each wind turbine generator set due to power limitation and the power generation loss not connected to the grid during the preset period.

[0117] It should be noted that steps 4-2 and 4-3 may include Figure 2 shown 109;

[0118] The 109 specifically includes:

[0119] 1) According to the theoretical power curve and wind frequency, the theoretical power generation a, i.e. the first theoretical power generation, is obtained. The calculation method is:

[0120] Theoretical power density in a single wind speed interval = theoretical power * wind frequency in that interval;

[0121] Theoretical power generation a = (Σ wind speed interval theoretical power density) * H;

[0122] Where H is the total number of hours in the preset time period, and the unit of theoretical power generation is kW·h.

[0123] According to the theoretical power curve and the total time on the wind frequency, the theoretical power generation b, i.e. the second theoretical power generation, is obtained. The calculation method is:

[0124] Theoretical power generation in a single wind speed interval = theoretical power * total time in the interval;

[0125] Theoretical power generation b = Σtheoretical power generation in wind speed range;

[0126] The unit of time is hour.

[0127] According to the theoretical power curve and the power generation time at the wind frequency, the theoretical power generation c of the power generation state, i.e. the third theoretical power generation, is obtained. The calculation method is:

[0128] Theoretical power generation in a single wind speed interval = theoretical power * power generation time in that interval;

[0129] Theoretical power generation in power generation state c = ΣTheoretical power generation in power generation state in wind speed interval;

[0130] The unit of power generation time is hour.

[0131] 2) Calculate the actual power generation d;

[0132] 3) Calculation of theoretical power generation loss e:

[0133] e=ad

[0134] 4) Calculation of non-grid-connected power generation loss f:

[0135] f=bc

[0136] 5) Optionally, further classification of non-grid-connected power generation losses is performed based on wind turbine PLC status data. For example, if the PLC status of the wind turbine at the station is fault shutdown, maintenance shutdown, or AGC shutdown, the non-grid-connected power generation losses can also be divided into fault shutdown power generation losses, maintenance shutdown power generation losses, AGC shutdown power generation losses, etc.

[0137] 6) Optionally, based on the actual rated power of the wind turbine at the unit site, the non-grid-connected power generation loss is converted into equivalent hours of non-grid-connected power generation loss, where equivalent hours of non-grid-connected power generation loss = non-grid-connected power generation loss / actual rated power of the wind turbine at the unit site.

[0138] Step 5: Determine the power generation loss value of the wind farm based on the power generation loss value of each wind turbine generator set within a preset time period.

[0139] In the embodiment of the present disclosure, step 5 specifically includes:

[0140] Step 5-1: Determine the sum of power generation loss values ​​of each wind turbine generator set within a preset time period;

[0141] Step 5-2: taking the sum of the power generation loss values ​​of the wind turbines within a preset time period as the power generation loss value of the wind farm.

[0142] It should be noted that the step 5 may include: Figure 2 111 in;

[0143] The 111 specifically includes:

[0144] Aggregate the power generation losses of all wind turbines in the wind farm to generate statistics such as wind farm-level power generation loss equivalent hours of limited power, power generation loss equivalent hours of non-grid-connected power, etc., such as the average power generation loss equivalent hours of wind farm power generation loss equivalent hours, the average power generation loss equivalent hours of non-grid-connected power, and the total value in a preset time period; optionally, the calculation results can also be used to summarize the power loss of wind turbines in the wind farm, such as Figure 4 The figure shows the distribution of equivalent hours of power generation loss due to wind turbines not being connected to the grid in a certain wind farm in July over the wind speed range.

[0145] In an embodiment of the present disclosure, the method further includes:

[0146] Obtaining a first theoretical power generation of each wind turbine generator set within a preset time period;

[0147] The first statistical deviation value, the second statistical deviation value and the third statistical deviation value are determined according to the first theoretical power generation, the second theoretical power generation, the third theoretical power generation, the power generation loss with limited power and the power generation loss not connected to the grid of each wind turbine generator set within a preset time period.

[0148] It should be noted that the determination of the first statistical deviation value, the second statistical deviation value, and the third statistical deviation value may include: Figure 2 110 in

[0149] Wherein, the 110 specifically includes:

[0150] 1) Statistical deviation △err_q that measures the impact of data quality on power generation loss calculation process:

[0151] △err_q=ab

[0152] Note: After abnormal data is removed from the time series data table, the total time used to calculate a and b is generally different, taking into account the data removal or missing data.

[0153] 2) Statistical deviation △err_l imlos, which measures the accuracy of the calculation of power loss due to power limitation:

[0154] △err_l imlos=b-(c+g)

[0155] Where g is the power generation loss due to power limitation.

[0156] 3) Total statistical deviation △err to measure the accuracy of wind turbine power loss calculation:

[0157] △err=e–(f+g)

[0158] Among them, e is the theoretical power generation loss, f is the non-grid-connected power generation loss, and g is the power generation loss with limited power.

[0159] Therefore, indicators such as △err, △err_l imlos and △err_q can be used as a verification method to evaluate the calculation deviation of power generation loss. If the proportion of △err, △err_l imlos and △err_q in the theoretical power generation exceeds a certain threshold, or △err, △err_l imlos and △err_q exceed a certain threshold, then the output result will be marked accordingly.

[0160] In an embodiment of the present disclosure, the method further includes:

[0161] The limited power generation loss equivalent hours and the non-grid-connected power generation loss equivalent hours of the wind farm are determined according to the limited power generation loss and non-grid-connected power generation loss of each wind turbine in a preset time period.

[0162] The technical solution provided by the present invention has the following effects: a) By establishing a rapid calculation process for wind farm-level power generation loss, the adaptability, speed, accuracy and automation level of the wind farm-level power generation loss calculation method are improved. b) Through the parameter configuration method of wind farm-level power generation loss, the requirements of wind turbines of different models and actual machine sites in the wind farm are adapted. c) The operating status information identification and extraction method applicable to different equipment manufacturers and different models is used to improve the adaptability of power generation loss calculation. d) The statistical method of the actual power curve of the wind turbine based on the actual machine site wind turbine configuration is used to improve the speed and accuracy of the actual power curve used for power generation loss calculation. e) The synthesis method of the theoretical power curve of the wind turbine based on the actual power curve, wind frequency and reference curve is used to improve the speed and accuracy of the theoretical power curve used for power generation loss calculation. f) The power-limited power generation loss calculation method based on the synthesized wind turbine theoretical power curve can increase the accuracy of the power-limited power generation loss calculation. g) The verification method of the wind turbine power loss calculation deviation is one of the means to monitor the effectiveness of the process. h) Wind farm-level power generation loss summary is the application of power generation loss calculation method to provide information for wind farm-level operation analysis.

[0163] In summary, the method for determining the wind farm-level power generation loss value proposed in this embodiment improves the adaptability, speed, and accuracy of wind farm-level power generation loss calculation.

[0164] Example 2

[0165] Figure 5 FIG. 1 is a structural diagram of a system for determining a wind farm-level power generation loss value according to an embodiment of the present application. Figure 5 As shown, the system includes:

[0166] An acquisition module 100 is used to acquire wind speed data, power generation data, and reference power data of each wind turbine in the wind farm at each moment within a preset time period;

[0167] The first determination module 200 is used to determine the wind frequency data and actual power data corresponding to each wind turbine in the preset period according to the wind speed data and power generation data of each wind turbine at each moment in the preset period;

[0168] The second determining module 300 is configured to determine a theoretical power curve of each wind turbine generator set within a preset period of time based on the wind frequency data, actual power data, and reference power data corresponding to each wind turbine generator set within a preset period of time;

[0169] The third determining module 400 is configured to determine the power generation loss value of each wind turbine generator set within a preset period of time according to the theoretical power curve of each wind turbine generator set within the preset period of time;

[0170] The fourth determining module 500 is configured to determine a power generation loss value of the wind farm based on the power generation loss value of each wind turbine generator set within a preset time period.

[0171] In the embodiment of the present disclosure, Figure 6 As shown, the first determining module 200 includes:

[0172] The first determining unit 201 is configured to determine the wind frequency data corresponding to each wind turbine in the preset period based on the wind speed data of each wind turbine at each moment in the preset period and using the Bien method;

[0173] The second determining unit 202 is configured to determine the corresponding average power generation value of each wind speed interval based on the power generation data of each wind turbine at each moment in a preset time period;

[0174] The third determining unit 203 is configured to use the average value of the generated power corresponding to the wind speed interval as the actual power data corresponding to each wind speed interval.

[0175] Furthermore, the second determining module 300 is further configured to:

[0176] Merging the wind frequency data and actual power data corresponding to each wind turbine generator set within a preset time period to obtain a synthetic data of each wind turbine generator set within the preset time period;

[0177] The primary synthetic data of each wind turbine generator set in a preset period of time is respectively combined with the reference power data corresponding to each wind turbine generator set in the preset period of time to obtain a theoretical power curve of each wind turbine generator set in the preset period of time.

[0178] Further, such as Figure 7 As shown, the third determining module 400 includes:

[0179] The fourth determining unit 401 is configured to determine the power limit generation loss of each wind turbine generator set within the preset time period according to the power limit mark, power generation mark, and theoretical power curve of each wind turbine generator set at each moment within the preset time period;

[0180] A fifth determining unit 402 is configured to determine the power generation loss of each wind turbine not connected to the grid within the preset time period based on the theoretical power curve of each wind turbine at each moment within the preset time period, the total time corresponding to each wind turbine in each wind speed interval, and the power generation time corresponding to each wind turbine in each wind speed interval;

[0181] The fifth determining unit 402 is further configured to:

[0182] Determining a second theoretical power generation of each wind turbine generator set within the preset time period according to a theoretical power curve of each wind turbine generator set at each moment within the preset time period and a total time duration corresponding to each wind turbine generator set in each wind speed interval;

[0183] determining a third theoretical power generation of each wind turbine generator set within the preset time period according to a theoretical power curve of each wind turbine generator set at each moment within the preset time period and a power generation duration corresponding to each wind turbine generator set in each wind speed interval;

[0184] The non-grid-connected power generation loss of each wind turbine generator set within the preset time period is determined based on the second theoretical power generation and the third theoretical power generation of each wind turbine generator set within the preset time period.

[0185] The sixth determining unit 403 is configured to determine a power generation loss value of each wind turbine generator set within a preset period of time based on the power generation loss of each wind turbine generator set due to power limitation and the power generation loss not connected to the grid during the preset period of time.

[0186] Furthermore, the fourth determining module 500 is further configured to:

[0187] Determining the sum of power generation loss values ​​of each wind turbine generator set within a preset time period;

[0188] The sum of the power generation loss values ​​of the wind turbines within a preset time period is used as the power generation loss value of the wind farm.

[0189] Further, such as Figure 8 As shown, the system further includes: a deviation calculation module 600;

[0190] The deviation calculation module 600 is used to:

[0191] Obtaining a first theoretical power generation of each wind turbine generator set within a preset time period;

[0192] The first statistical deviation value, the second statistical deviation value and the third statistical deviation value are determined according to the first theoretical power generation, the second theoretical power generation, the third theoretical power generation, the power generation loss with limited power and the power generation loss not connected to the grid of each wind turbine generator set within a preset time period.

[0193] Further, such as Figure 9 As shown, the system further includes: an equivalent hour determination module 700;

[0194] The equivalent hours determination module 700 is used to:

[0195] The limited power generation loss equivalent hours and the non-grid-connected power generation loss equivalent hours of the wind farm are determined according to the limited power generation loss and non-grid-connected power generation loss of each wind turbine in a preset time period.

[0196] In summary, the system for determining wind farm-level power generation loss values ​​proposed in this embodiment improves the adaptability, speed, and accuracy of wind farm-level power generation loss calculations.

[0197] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.

[0198] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may be performed out of the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present application belong.

[0199] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A method for determining wind farm-level power generation loss value, characterized in that: The method comprises: Obtain wind speed data, power generation data, and reference power data for each wind turbine in the wind farm at each moment within a preset time period; Determining the wind frequency data and actual power data corresponding to each wind turbine generator set within the preset time period according to the wind speed data and power generation data of each wind turbine generator set at each moment within the preset time period; Determining a theoretical power curve of each wind turbine generator set within a preset period of time according to the wind frequency data, actual power data and reference power data corresponding to each wind turbine generator set within a preset period of time; Determining the power generation loss value of each wind turbine generator set within the preset time period according to the theoretical power curve of each wind turbine generator set within the preset time period; The power generation loss value of the wind farm is determined based on the power generation loss value of each wind turbine generator set within a preset time period.

2. The method according to claim 1, wherein The determining of the wind frequency data and actual power data corresponding to each wind turbine generator set within the preset time period according to the wind speed data and power generation data of each wind turbine generator set at each moment within the preset time period includes: Based on the wind speed data of each wind turbine generator set at each moment in the preset time period and using the Bien method, the wind frequency data corresponding to each wind turbine generator set in the preset time period is determined; Determining the corresponding average power generation value of each wind speed interval according to the power generation data of each wind turbine at each moment in a preset time period; The corresponding average value of the generated power in the wind speed interval is used as the corresponding actual power data of each wind speed interval.

3. The method according to claim 2, wherein The determining of the theoretical power curve of each wind turbine generator set within the preset time period according to the wind frequency data, actual power data and reference power data corresponding to each wind turbine generator set within the preset time period includes: Merging the wind frequency data and actual power data corresponding to each wind turbine generator set within a preset time period to obtain a synthetic data of each wind turbine generator set within the preset time period; The primary synthetic data of each wind turbine generator set in a preset period of time is respectively combined with the reference power data corresponding to each wind turbine generator set in the preset period of time to obtain a theoretical power curve of each wind turbine generator set in the preset period of time.

4. The method according to claim 3, wherein Determining the power generation loss value of each wind turbine generator set within the preset time period according to the theoretical power curve of each wind turbine generator set within the preset time period includes: Determine the power limit loss of each wind turbine generator set within the preset time period according to the power limit mark, power generation mark, and theoretical power curve of each wind turbine generator set at each moment within the preset time period; Determine the power generation loss of each wind turbine generator set that is not connected to the grid during the preset time period based on the theoretical power curve of each wind turbine generator set at each moment during the preset time period, the total time corresponding to each wind turbine generator set in each wind speed interval, and the power generation time corresponding to each wind turbine generator set in each wind speed interval; The power generation loss value of each wind turbine generator set within the preset time period is determined based on the power generation loss of each wind turbine generator set within the preset time period and the power generation loss of each wind turbine generator set not connected to the grid.

5. The method according to claim 4, wherein The determining of the non-grid-connected power generation loss of each wind turbine generator set within the preset time period according to the theoretical power curve of each wind turbine generator set at each moment within the preset time period, the total time corresponding to each wind turbine generator set in each wind speed interval, and the power generation time corresponding to each wind turbine generator set in each wind speed interval includes: Determining a second theoretical power generation of each wind turbine generator set within the preset time period according to a theoretical power curve of each wind turbine generator set at each moment within the preset time period and a total time duration corresponding to each wind turbine generator set in each wind speed interval; determining a third theoretical power generation of each wind turbine generator set within the preset time period according to a theoretical power curve of each wind turbine generator set at each moment within the preset time period and a power generation duration corresponding to each wind turbine generator set in each wind speed interval; The non-grid-connected power generation loss of each wind turbine generator set within the preset time period is determined based on the second theoretical power generation and the third theoretical power generation of each wind turbine generator set within the preset time period.

6. The method according to claim 4, wherein The determining of the power generation loss value of the wind farm based on the power generation loss value of each wind turbine generator set within a preset time period includes: Determining the sum of power generation loss values ​​of each wind turbine generator set within a preset time period; The sum of the power generation loss values ​​of the wind turbines within a preset time period is used as the power generation loss value of the wind farm.

7. The method according to claim 6, wherein The method further comprises: Obtaining a first theoretical power generation of each wind turbine generator set within a preset time period; The first statistical deviation value, the second statistical deviation value and the third statistical deviation value are determined according to the first theoretical power generation, the second theoretical power generation, the third theoretical power generation, the power generation loss with limited power and the power generation loss not connected to the grid of each wind turbine generator set within a preset time period.

8. The method according to claim 7, wherein The method further comprises: The limited power generation loss equivalent hours and the non-grid-connected power generation loss equivalent hours of the wind farm are determined according to the limited power generation loss and non-grid-connected power generation loss of each wind turbine in a preset time period.

9. A system for determining wind farm-level power generation loss value, characterized in that: The system comprises: An acquisition module is used to obtain wind speed data, power generation data and reference power data of each wind turbine in the wind farm at each moment within a preset time period; A first determining module is used to determine the wind frequency data and actual power data corresponding to each wind turbine in the preset time period according to the wind speed data and power generation data of each wind turbine at each moment in the preset time period; A second determining module is configured to determine a theoretical power curve of each wind turbine generator set within a preset period of time based on the wind frequency data, actual power data and reference power data corresponding to each wind turbine generator set within a preset period of time; A third determining module is configured to determine a power generation loss value of each wind turbine generator set within a preset period of time based on a theoretical power curve of each wind turbine generator set within a preset period of time; The fourth determining module is configured to determine the power generation loss value of the wind farm based on the power generation loss value of each wind turbine generator set within a preset time period.

10. The system according to claim 9, wherein: The first determining module includes: A first determining unit is configured to determine the wind frequency data corresponding to each wind turbine generator set within the preset time period based on the wind speed data of each wind turbine generator set at each moment within the preset time period and using the Bien method; A second determining unit is configured to determine a corresponding average power generation value for each wind speed interval based on the power generation data of each wind turbine generator set at each moment within a preset time period; The third determining unit is configured to use the average value of the generated power corresponding to the wind speed interval as the actual power data corresponding to each wind speed interval.

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