Method for evaluating output characteristics of wind turbine generator system
Patent Information
- Application Number
- CN202310465939.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-04-26
- Publication Date
- 2026-09-08
- Estimated Expiration
- 2043-04-26
AI Technical Summary
[0003]而出力特性的相关标准众多,各种指标计算方法较为复杂,目前的监控系统至少在不同的界面零散地呈现各机组功率曲线、发电量等指标信息,并没有直观地体现机组出力特性供运维人员进行分析
[0009]The technical solution provided in this application acquires the operating sequence data, design power curve, and measured power curve of each wind turbine generator set in a wind farm; determines the output characteristic indicators of each wind turbine generator set based on the operating sequence data, design power curve, and measured power curve; calculates the evaluation score of each wind turbine generator set based on the output characteristic indicators, and evaluates the output performance of the wind turbine generator sets based on the evaluation scores. The solution determines which turbine generator set needs priority maintenance based on the evaluation scores of each unit in the wind farm, thus achieving high accuracy.
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Figure CN116335876B_ABST
Abstract
Description
Technical Field
[0001] This application relates to wind turbine generator monitoring technology, and more particularly to a method for evaluating the output characteristics of wind turbine generators. Background Technology
[0002] Wind turbines are devices that convert wind energy into electrical energy and need to be built in areas where wind power meets the requirements for power generation. A wind farm typically has dozens of wind turbines, which are often spaced far apart. Furthermore, the environment at wind farms is often harsh, making it difficult for operators to conduct comprehensive inspections of each turbine. Therefore, regular inspections and scheduled maintenance are generally used to ensure the safe and efficient operation of the turbines. The output characteristics of each turbine are key indicators for scheduling inspections and routine maintenance.
[0003] There are numerous standards related to power output characteristics, and the calculation methods for various indicators are quite complex. Current monitoring systems present power curves and power generation information of each unit in a fragmented manner on different interfaces, without intuitively demonstrating the unit's power output characteristics for operation and maintenance personnel to analyze. In addition, due to the differences and uncertainties in wind resources at different wind farms and turbine locations, the amount of power generation alone cannot fully characterize the operating status of the units, resulting in poor accuracy in the performance analysis of units in each wind farm. Summary of the Invention
[0004] To address one of the aforementioned technical deficiencies, this application provides a method for evaluating the output characteristics of a wind turbine generator set.
[0005] According to a first aspect of the embodiments of this application, a method for evaluating the output characteristics of a wind turbine generator set is provided, comprising:
[0006] Acquire the operating sequence data, design power curves, and measured power curves of each wind turbine generator unit in the wind farm;
[0007] The output characteristic indicators of each wind turbine generator set are determined based on the runtime sequence data, the unit design power curve, and the measured power curve.
[0008] The evaluation score of each wind turbine is calculated based on its output characteristic index, and the output performance of the wind turbine is evaluated based on the evaluation score.
[0009] The technical solution provided in this application acquires the operating sequence data, design power curve, and measured power curve of each wind turbine generator set in a wind farm; determines the output characteristic indicators of each wind turbine generator set based on the operating sequence data, design power curve, and measured power curve; calculates the evaluation score of each wind turbine generator set based on the output characteristic indicators, and evaluates the output performance of the wind turbine generator sets based on the evaluation scores. The solution determines which turbine generator set needs priority maintenance based on the evaluation scores of each unit in the wind farm, thus achieving high accuracy. Attached Figure Description
[0010] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:
[0011] Figure 1 A flowchart of the wind turbine generator output characteristic evaluation method provided in the embodiments of this application;
[0012] Figure 2 A flowchart for determining the output characteristic index of each wind turbine generator set in the wind turbine generator set output characteristic evaluation method provided in the embodiments of this application;
[0013] Figure 3 A flowchart illustrating the calculation of the design power output in the wind turbine generator output characteristic evaluation method provided in this application embodiment;
[0014] Figure 4 This is a flowchart illustrating the calculation of the actual expected power output in the wind turbine generator output characteristic evaluation method provided in this application embodiment. Detailed Implementation
[0015] To make the technical solutions and advantages of the embodiments of this application clearer, the exemplary embodiments of this application will be described in further detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not an exhaustive list of all embodiments. It should be noted that, unless otherwise specified, the embodiments and features in the embodiments of this application can be combined with each other.
[0016] This embodiment provides a method for evaluating the output characteristics of wind turbine generator sets, which can analyze and statistically analyze the output performance of each wind turbine generator set in a wind farm, thereby determining the priority of each unit requiring operation and maintenance. Limited operation and maintenance can be carried out on the top-ranked units, reducing the unit failure rate and improving the reliability of the wind farm.
[0017] In practical applications, this method for evaluating the output characteristics of wind turbine generators can be implemented through computer programs, such as application software; or, the method can also be implemented as a medium storing relevant computer programs, such as a USB flash drive or cloud drive; or, the method can also be implemented through a physical device that integrates or installs relevant computer programs, such as a chip or a portable smart device.
[0018] like Figure 1 As shown, the wind turbine generator output characteristic evaluation method provided in this embodiment includes the following steps:
[0019] Step 10: Obtain the operating sequence data, design power curve, and measured power curve of each wind turbine generator set in the wind farm.
[0020] Operational sequence data can include wind speed, ambient temperature, blade pitch angle, generator speed, generator power, etc., which can be detected by devices such as wind speed sensors and temperature sensors installed on the generator nacelle. The power curve can be calculated and determined based on the preset power and the measured power.
[0021] Step 20: Determine the output characteristic indicators of each wind turbine generator set based on the running sequence data, the unit design power curve, and the measured power curve.
[0022] Step 30: Calculate the evaluation score of each wind turbine generator set based on the output characteristic index of each wind turbine generator set, and evaluate the output performance of the wind turbine generator sets based on the evaluation score.
[0023] Output characteristic indicators can include actual power generation, full power generation, etc. Evaluation scores are calculated based on these performance indicators. The evaluation scores of each unit in the wind farm determine which unit needs priority for operation and maintenance, which has a high degree of accuracy.
[0024] Based on the above technical solutions, this embodiment provides a specific implementation method:
[0025] The runtime sequence data includes at least one of the following: wind speed, ambient temperature, ambient humidity, air pressure, blade pitch angle, generator speed, generator power, and grid-connected power.
[0026] like Figure 2 As shown, in step 20 above, the output characteristic indicators of each wind turbine are determined based on the operating sequence data, the unit design power curve, and the measured power curve. This specifically includes the following steps:
[0027] Step 201: Determine the wind speed under standard air density based on wind speed, ambient temperature, ambient humidity, and air pressure.
[0028] Wind speed at standard air density is calculated using the following formula:
[0029]
[0030] Where U′ is the average wind speed within a preset period under standard air density, ρ is the average air density within a preset period, U is the wind speed within a preset period, and ρ0 is the standard air density of 1.225 kg / m³. 3 The preset cycle can be 5 minutes.
[0031] ρ is calculated using the following formula:
[0032]
[0033] Where T is the measured ambient temperature within the preset period, B is the average air pressure (Pa) corrected to the unit hub height within the preset period, R0 is the gas constant of dry air, 287.05 (J / (Kg·K)), Φ is the ambient humidity (range 0%-100%), and R W The gas constant of water vapor is 4615 (J / (Kg·K)), P W The steam pressure is equal to 0.0000205e. 0.0631846T .
[0034] The unit's design power curve is given at the time of manufacturing, while the measured power curve is obtained by a certification body; both are known curves. The curve data is pre-stored in memory and can be read from memory by the processor when needed.
[0035] Step 202: Determine the unit's shutdown status, full-load status, and power-limited power generation status based on the pitch angle, generator speed, generator power, and grid-connected power.
[0036] Determining the unit's shutdown status includes: judging whether the unit meets the following conditions within a preset period (5 minutes). If at least one of the following conditions is met, the unit is determined to be in a shutdown state:
[0037] (1) The average power of the Internet is less than the first power threshold, which can be 0.0.
[0038] (2) The average generator speed is less than the first speed threshold, which can be 30% of the rated speed.
[0039] (3) The minimum generator speed is less than the second speed threshold, which is 5% of the rated speed.
[0040] (4) The maximum pitch angle is greater than the first pitch angle threshold, which is 80°.
[0041] (5) The average pitch angle is greater than the second pitch angle threshold, which is 50°.
[0042] Determining the generator set's full-capacity status includes: checking whether the generator set meets the following conditions within a preset period (5 minutes); if so, the generator set is determined to be in a full-capacity status:
[0043] The average power output is greater than the second power threshold, and the average pitch angle is greater than the third pitch angle threshold. The second power threshold is 0.95 times the full power output, and the third pitch angle threshold is 1.5°.
[0044] Determining the power-limited generation status of the generating unit includes: judging whether the generating unit meets the following conditions within a preset period (5 minutes). If at least one of the following conditions is met, the generating unit is determined to be in a power-limited generation status:
[0045] (1) The average power of the power supply is less than the third power threshold and the average pitch angle is greater than the fourth pitch angle threshold. The third power threshold is 0.9 * full power and the fourth pitch angle threshold is 3°.
[0046] (2) The ratio of Internet power to theoretical power is less than the fourth power threshold, which is 0.6.
[0047] (3) The standard deviation of generator power is less than the fifth power threshold and the standard deviation of wind speed is greater than the first wind speed threshold. The fifth power threshold is 15 and the first wind speed threshold is 0.3.
[0048] (4) The standard deviation of generator speed is less than the third speed threshold and the standard deviation of wind speed is greater than the second wind speed threshold. The third speed threshold is 15 and the second wind speed threshold is 0.3.
[0049] Step 203: Determine the output characteristic indicators of each wind turbine based on the wind speed under standard air density, the unit shutdown state, the full-power state, and the power-limited power generation state.
[0050] Specifically, the output characteristic indicators of wind turbine generators include: daily full-hour actual power generation G1, daily full-hour designed power generation G2, daily full-hour actual power generation G3, daily power generation during power generation G4, daily power generation during power generation designed power generation G5, daily power generation during power generation actual power generation G6, average power output after normal full-load operation G7, opportunity loss power G8, shutdown loss power G9, and power limitation loss power G 10 The unit's performance loss of electricity G 11 .
[0051] The daily full-hour actual power generation G1 of a generating unit is calculated using the following formula:
[0052]
[0053] The daily full-hour design power generation G2 of a single generating unit is calculated using the following formula:
[0054]
[0055] The above p(U) i The calculation method for ') can be found by referring to Figure 3 First determine U i Is it between j*0.5 and (j+i)*0.5? If so, calculate p(U′). i )=(U′ i -j*0.5) / 0.5*(Pc(j+1,2)-Pc(j,2))+Pc(j,2);
[0056] If not, then check if j is less than 50. If it is greater than or equal to 50, end the calculation; if it is less than 50, then j = j + 1, and then calculate p(U′). i )=(U′ i -j*0.5) / 0.5*(Pc(j+1,2)-Pc(j,2))+Pc(j,2).
[0057] The above Pc is a two-dimensional table of the unit's design power curve. The first column Pc(m,1) is the wind speed column, and the second column Pc(m,2) is the power column.
[0058] The actual daily full-hour power generation G3 of a generating unit is calculated using the following formula:
[0059]
[0060] The above p'(U i The calculation method for ') can be found by referring to Figure 4 First determine U i Is it between j*0.5 and (j+i)*0.5? If so, calculate p′(U′) i )=(U′ i -j*0.5) / 0.5*(Pd(j+1,2)-Pd(j,2))+Pd(j,2);
[0061] If not, then check if j is less than 50. If it is greater than or equal to 50, end the calculation; if it is less than 50, then j = j + 1, and then calculate p′(U′). i )=(U′ i -j*0.5) / 0.5*(Pd(j+1,2)-Pd(j,2))+Pd(j,2).
[0062] The above Pd is a two-dimensional table of the measured power curve of the unit. The first column Pd(m,1) is the wind speed column, and the second column Pd(m,2) is the power column.
[0063] The daily actual power generation G4 of a generating unit is calculated using the following formula:
[0064]
[0065] The designed daily power generation capacity G5 of a single generating unit is calculated using the following formula:
[0066]
[0067] The actual daily power generation G6 of a generating unit is calculated using the following formula:
[0068]
[0069] The average power output G7 of a generating unit at full capacity under normal operation is calculated using the following formula:
[0070]
[0071] The opportunity loss power G8 of a single generating unit is calculated using the following formula:
[0072] G8 = G3 - G1.
[0073] The power loss G9 due to the shutdown of a single generating unit is calculated using the following formula:
[0074]
[0075] Power loss G of a single generating unit 10 It is calculated using the following formula:
[0076]
[0077] The power loss of a single generator unit is G. 11 It is calculated using the following formula:
[0078] G 11 =G5-G4.
[0079] Among them, P i Let p(U') be the average on-grid power of the generating units in the i-th preset period. i ) for the unit in U' i Design power output calculated at wind speed, p'(U') i ) for the unit in U' i Actual power output calculated at wind speed, St i Sm represents the unit shutdown status determined within the i-th preset period. i Sl represents the normal full-load operation status of the unit determined within the i-th preset period. iLet be the unit's power-limited generation state determined within the i-th preset period, where is , is , is , and A is the number of preset periods. The preset period is 5 minutes.
[0080] In step 30 above, the evaluation score of each wind turbine is calculated based on its output characteristic indicators, specifically including:
[0081] Extract the following data for each generating unit: daily full-time actual power generation G1, daily full-time designed power generation G2, daily full-time actual power generation G3, daily power generation during power generation G4, daily power generation during power generation designed power generation G5, daily power generation during power generation actual power generation G6, average power output after normal full-capacity operation G7, opportunity loss power of the unit G8, shutdown loss power of the unit G9, and power limitation loss power of the unit G 10 The unit's performance loss of electricity G 11 and daily average wind speed G 12 Daily downtime G 13 Daily power generation time G 14 This forms an n x m matrix A, where n is the number of wind turbines in the wind farm, and m = 14. An example of matrix A is shown in the table below:
[0082]
[0083]
[0084] Then, for G1 to G7 and G... 12 To G 14 Perform positive normalization on G8 to G 11 Perform negative normalization to form a positive normalized matrix X.
[0085] The forward normalization formula is as follows:
[0086] x ij These are the elements of matrix A;
[0087] The negative normalization formula is as follows:
[0088]
[0089] Next, standardize matrix X to obtain matrix Z; the standardization formula is as follows:
[0090]
[0091] Then, the evaluation score for each unit is calculated based on matrix Z, as follows:
[0092] The maximum value of the index Z is determined using the following formula. + :
[0093]
[0094] The minimum value Z of the index is determined using the following formula. - :
[0095]
[0096] The distance between the i-th unit to be evaluated and the maximum value of the index is determined using the following formula:
[0097]
[0098] The distance between the i-th unit to be evaluated and the minimum index value is determined using the following formula:
[0099]
[0100] The unnormalized score S of the i-th unit to be evaluated is determined according to the following formula. i :
[0101]
[0102] The output performance of the wind turbine generator is evaluated based on the evaluation score calculated above, including:
[0103] Obtain the daily score S for each turbine in the wind farm. i Then, box plot statistics are performed to determine the score S for each unit. i The median h and the lower limit of abnormality q;
[0104] When the unit's score S i When h is greater than or equal to h, the operation and maintenance index F i =1; otherwise when S i When q < , the operation and maintenance index F i =n, other cases F i = n / 2;
[0105] Calculate the operation and maintenance index F for each unit within a statistical period. i The mean of the operation and maintenance index F i The higher the average value, the higher the priority of maintenance required for the unit.
[0106] Based on the above method, this embodiment also provides a wind turbine generator output characteristic evaluation system, including data acquisition and processing, fault monitoring and protection, data storage, and communication functions, ensuring secure and reliable data transmission to the host computer system. It can synchronously collect information such as wind speed, wind direction, wind farm meteorological data, generator output power, and generator speed, with a power error requirement of no more than 0.5%; meteorological data should at least include temperature, humidity, and maximum pressure. The system has a hardware clock circuit; in the event of power failure, the hardware clock should function normally, with an accuracy of no more than 5 seconds error within 24 hours, and supports clock synchronization with a network clock source. The system has storage space management functions to prevent the processor from accessing data in unexpected or prohibited storage spaces, which could cause processor crashes. In addition, the system has data storage functions, allowing for continuous rolling over storage of required data, supporting at least 30 days of data storage, with a resolution accuracy of at least 1 second. It supports real-time information transmission and exchange with the wind farm's intelligent data system via MODBUS TCP and other methods, and has a breakpoint resume function to ensure data integrity and accuracy. It also features local configuration and management capabilities, and supports remote software upgrades.
[0107] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The solutions in the embodiments of this application can be implemented in various computer languages, such as C, VHDL, Verilog, the object-oriented programming language Java, and the interpreted scripting language JavaScript.
[0108] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0109] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0110] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0111] In the description of this application, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this application.
[0112] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.
[0113] In this application, unless otherwise expressly specified and limited, the terms "installation," "connection," "linking," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection, an electrical connection, or a connection that allows communication between them; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication between two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this application according to the specific circumstances.
[0114] Although preferred embodiments of this application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this application.
[0115] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.
Claims
1. A method for evaluating the output characteristics of a wind turbine generator set, characterized in that, include: Acquire the operating sequence data, design power curves, and measured power curves of each wind turbine generator unit in the wind farm; The runtime sequence data includes at least one of the following: wind speed, ambient temperature, ambient humidity, air pressure, blade pitch angle, generator speed, generator power, and grid-connected power. The output characteristic indicators of each wind turbine are determined based on runtime sequence data, the unit's design power curve, and the measured power curve. This includes: determining the wind speed at standard air density based on wind speed, ambient temperature, ambient humidity, and air pressure; determining the unit's shutdown state, full-load operation state, and power-limited operation state based on pitch angle, generator speed, generator power, and grid-connected power; and determining the output characteristic indicators of each wind turbine based on wind speed at standard air density, unit shutdown state, full-load operation state, and power-limited operation state. The output characteristic indicators of the wind turbine include: daily full-hourly actual power generation. Daily full-time design power generation Daily full-hour actual power generation Daily actual power generation Designed power generation per day Actual daily power generation Average power output of the unit after normal full-capacity operation Opportunistic power loss of the unit Power loss due to unit shutdown Power loss due to unit power limitation The unit's performance loss of electricity ; The evaluation score of each wind turbine is calculated based on its output characteristic index, and the output performance of the wind turbine is evaluated based on the evaluation score. The evaluation score for each wind turbine is calculated based on its output characteristic indicators, including: Extract the daily full-hour actual power generation of each unit. Daily full-time design power generation Daily full-hour actual power generation Daily actual power generation Designed power generation per day Actual daily power generation Average power output of the unit after normal full-capacity operation Opportunistic power loss of the unit Power loss due to unit shutdown Power loss due to unit power limitation Power loss due to unit performance and daily average wind speed Daily downtime Daily power generation time This forms an n-row, m-column matrix A, where n is the number of wind turbines in the wind farm and m = 14. right to and to Perform positive normalization, for to Perform negative normalization to form a normalized matrix X; the positive normalization formula is as follows: ; These are the elements of matrix A; The negative normalization formula is as follows: ; Standardizing matrix X yields matrix Z; the standardization formula is as follows: ; The evaluation score for each unit is calculated based on matrix Z, including: The maximum value of the indicator is determined using the following formula. : , , ; The minimum value of the indicator is determined using the following formula. : , , ; The distance between the i-th unit to be evaluated and the maximum value of the index is determined using the following formula: ; The distance between the i-th unit to be evaluated and the minimum index value is determined using the following formula: ; The unnormalized score of the i-th unit to be evaluated is determined according to the following formula. : ; The output performance of the wind turbine generator is evaluated based on the evaluation score, including: Obtain the daily scores of each turbine in the wind farm. ; Determine the score for each unit The median h and the lower limit of abnormality q; When the unit scores At that time, operation and maintenance indicators Otherwise when At that time, operation and maintenance indicators Other situations / 2; Calculate the operation and maintenance indicators for each unit within a statistical period. The average value of operation and maintenance indicators The higher the average value, the higher the priority of maintenance required for the unit.
2. The method according to claim 1, characterized in that, The wind speed at standard air density is determined based on wind speed, ambient temperature, and ambient humidity, including: Wind speed at standard air density is calculated using the following formula: , in, Here, is the wind speed within a preset period under standard air density, and is the average air density within the preset period. The wind speed within the preset cycle, The standard air density is 1.225 kg / m³. ; R is calculated using the following formula: , Where T is the ambient temperature within the preset cycle, and B is the average air pressure (Pa) within the preset cycle, corrected to the hub height of the generator unit. It is the gas constant of dry air, 287.05 (J / (Kg·K)). It is ambient humidity. It is the gas constant of water vapor, 4615 (J / (Kg·K)). The steam pressure is equal to 0.0000205. .
3. The method according to claim 1, characterized in that: Determining the unit's shutdown status includes: judging whether the unit meets the following conditions within a preset period; if at least one of the following conditions is met, the unit is determined to be in a shutdown state: The average power output is less than the first power threshold; the average generator speed is less than the first speed threshold; the minimum generator speed is less than the second speed threshold; the maximum pitch angle is greater than the first pitch angle threshold; and the average pitch angle is greater than the second pitch angle threshold. Determining the unit's full-capacity operating status includes: judging whether the unit meets the following conditions within a preset period; if so, the unit is determined to be in the full-capacity operating status: The average power of the network connection is greater than the second power threshold, and the average pitch angle is greater than the third pitch angle threshold; Determining the power-limited generation status of the generating unit includes: judging whether the generating unit meets the following conditions within a preset period; if at least one of the following conditions is met, the generating unit is determined to be in a power-limited generation status: The average power output is less than the third power threshold and the average pitch angle is greater than the fourth pitch angle threshold; the ratio of power output to theoretical power is less than the fourth power threshold; the standard deviation of generator power is less than the fifth power threshold and the standard deviation of wind speed is greater than the first wind speed threshold; the standard deviation of generator speed is less than the third speed threshold and the standard deviation of wind speed is greater than the second wind speed threshold.
4. The method according to claim 3, characterized in that, The first power threshold is 0, the first speed threshold is 30% of the rated speed, the second speed threshold is 5% of the rated speed, the first pitch angle threshold is 80°, the second pitch angle threshold is 50°, the second power threshold is 0.95 * full power, the third pitch angle threshold is 1.5°, the third power threshold is 0.9 * full power, the fourth pitch angle threshold is 3°, the fourth power threshold is 0.6, the fifth power threshold is 15, the first wind speed threshold is 0.3, the third speed threshold is 15, and the second wind speed threshold is 0.
3.
5. The method according to claim 1, characterized in that, Daily full-hour actual power generation of a unit It is calculated using the following formula: ; The daily full-hour design power generation of a unit It is calculated using the following formula: , Daily full-hour actual power generation of a unit It is calculated using the following formula: , Daily power generation of a single generating unit It is calculated using the following formula: , The designed power generation capacity of a single generating unit per day It is calculated using the following formula: , The actual power generation of a unit per day It is calculated using the following formula: , Average power output of a generator unit at full capacity It is calculated using the following formula: , Opportunity power loss of a generator unit It is calculated using the following formula: , Power loss due to the shutdown of one unit It is calculated using the following formula: , Power loss due to power limitation of a single unit It is calculated using the following formula: , The power loss of a single generator unit It is calculated using the following formula: , in, Let be the average on-grid power of the generating units in the i-th preset period. For the unit in The design power output calculated at the given wind speed For the unit in The actual power output calculated at the wind speed is This refers to the unit shutdown status determined within the i-th preset period. When the unit is in a shutdown state... A value of "1" indicates that the unit is in a non-shutdown state. =0; This refers to the normal full-load operation status of the generating unit as determined within the i-th preset period. When the generating unit is in the normal full-load operation status... A value of "1" indicates that the generator unit is operating at abnormal full capacity. =0; This refers to the power-limited generation state of the unit determined within the i-th preset period. If the unit is in a power-limited generation state... If the value is "1", it means the unit is in an unrestricted power generation state. =0; The number of preset cycles.
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