A wind turbine wind energy utilization efficiency evaluation method, device and equipment
Patent Information
- Application Number
- CN202410316207.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-03-19
- Publication Date
- 2026-10-16
- Estimated Expiration
- 2044-03-19
AI Technical Summary
[0004]本说明书实施例的目的是提供一种风电机组风能利用效率评估方法及装置,以解决如何准确有效地针对风电机组的风能利用效率进行评估的问题
[0016] As can be seen from the technical solutions provided in the embodiments of this specification above, these embodiments obtain the operating data and design parameters of the target wind turbine, and then calculate the measured wind energy utilization efficiency and the design wind energy utilization efficiency for different wind speed ranges. The wind energy utilization efficiency is then fitted to obtain corresponding fitting results. By comparing the fitting results for the measured range and the fitting results for the design range, the efficiency of the wind turbine can be effectively evaluated. This method not only quantitatively and effectively calculates the wind energy utilization efficiency of the wind turbine, but also evaluates the efficiency of the wind turbine by comparing the fitting results of the measured and design utilization efficiencies and combining them with relevant evaluation standards. This allows for the determination of whether the generator set needs adjustment based on the evaluated efficiency, demonstrating good practical application value.
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Abstract
Description
Technical Field
[0001] The embodiments in this specification relate to the field of wind power generation technology, and in particular to a method and apparatus for evaluating the wind energy utilization efficiency of wind turbine units. Background Technology
[0002] Driven by the needs of environmental protection and sustainable development, the development and utilization of green energy is gradually increasing. For example, in areas with abundant wind energy resources, wind power generation is achieved by building wind turbine generators, which not only enables efficient power generation but also ensures that the power generation process is environmentally friendly and pollution-free, resulting in significant environmental benefits.
[0003] In the process of generating electricity using wind turbines, it is generally necessary to assess the power generation capacity of the wind turbines in order to effectively determine parameters such as power generation. Currently, the assessment of wind turbine power generation capacity is typically based on analysis of the turbine's power characteristic curve. However, the power characteristic curve only reflects the overall output characteristics of the turbine and cannot analyze and evaluate the wind turbine's efficiency in utilizing wind energy. Furthermore, there is a lack of effective methods and standards for evaluating the quality of wind energy utilization efficiency. Therefore, there is an urgent need for a method that can accurately and effectively assess the wind energy utilization efficiency of wind turbines. Summary of the Invention
[0004] The purpose of the embodiments in this specification is to provide a method and apparatus for evaluating the wind energy utilization efficiency of wind turbine units, so as to solve the problem of how to accurately and effectively evaluate the wind energy utilization efficiency of wind turbine units.
[0005] To address the aforementioned technical problems, this specification proposes a method for evaluating the wind energy utilization efficiency of wind turbine generators, comprising: acquiring generator data corresponding to a target wind turbine generator; the generator data including operating data and design parameters; calculating the measured wind energy utilization efficiency corresponding to different wind speed ranges based on the operating data; calculating the design wind energy utilization efficiency corresponding to different wind speed ranges based on the design parameters; fitting the measured wind energy utilization efficiency and the design wind energy utilization efficiency to obtain a measured range fitting result and a design range fitting result, respectively; and determining the efficiency evaluation result of the target wind turbine generator based on the comparison result between the measured range fitting result and the design range fitting result.
[0006] In some implementations, the operating data includes operating time, unit active power, and wind speed; the design parameters include generator design efficiency, design efficiency of other transmission equipment, and design power characteristic curve.
[0007] Based on the above implementation method, the step of calculating the measured wind energy utilization efficiency corresponding to different wind speed ranges based on the operating data includes: using the formula Calculate the measured wind energy utilization efficiency for each wind speed range, where CP,i Let P be the measured wind energy utilization efficiency for the i-th wind speed range. i Let be the normalized output power of the wind turbine in the i-th interval, where P i ′ represents the active power output of the wind turbine in the i-th interval, h f For generator design efficiency, h c For the design efficiency of other transmission equipment, r0 is the reference air density, A is the swept area of the impeller, and V i Let be the normalized average wind speed of the i-th interval; the step of calculating the design wind energy utilization efficiency corresponding to different wind speed intervals based on the design parameters includes: extracting the design power and design wind speed from the design power characteristic curve; and using the formula... Calculate the design wind energy utilization efficiency for each wind speed range, where, Let be the design wind energy utilization efficiency for the i-th wind speed range. Let be the normalized design output power of the wind turbine in the i-th interval, where P is the design power, h f For generator design efficiency, h c For the design efficiency of other transmission equipment, r0 is the reference air density, A is the swept area of the impeller, and V i Let be the normalized average wind speed of the i-th interval.
[0008] In some embodiments, the step of fitting the measured wind energy utilization efficiency and the design wind energy utilization efficiency to obtain the measured interval fitting result and the design interval fitting result respectively includes: combining the measured wind energy utilization efficiency and the design wind energy utilization efficiency of each wind speed interval, and fitting the measured power coefficient curve and the design power coefficient curve respectively; the measured power coefficient curve is a fitting formula corresponding to the measured wind energy utilization efficiency; the design power coefficient curve is a fitting formula corresponding to the design wind energy utilization efficiency.
[0009] In some implementations, determining the efficiency evaluation result of the target wind turbine based on the comparison result of the measured interval fitting result and the design interval fitting result includes: comparing the measured interval fitting result and the design interval fitting result for each wind speed interval respectively, and determining the interval score corresponding to each wind speed interval based on the comparison result; determining the evaluation score corresponding to the target wind turbine based on the interval scores; and determining the efficiency evaluation result of the target wind turbine based on the evaluation score and evaluation conditions.
[0010] Based on the above implementation method, the measured interval fitting result includes the measured power coefficient curve; the design interval fitting result includes the fitted power coefficient curve; the step of comparing the measured interval fitting result and the design interval fitting result for each wind speed interval, and determining the interval score corresponding to each wind speed interval based on the comparison result, includes: using the formula Calculate the measured interval integral result for the i-th wind speed interval, where, The measured power coefficient curve, V i Let be the starting wind speed of the i-th wind speed interval; using the formula Calculate the design interval integral result for the i-th wind speed interval, where, To design the power factor curve; using the formula Calculate the interval score for the i-th wind speed interval, where Y i Let i be the interval score for the i-th wind speed interval.
[0011] Based on the above implementation method, determining the evaluation score corresponding to the target wind turbine by comprehensively considering the interval scores includes: using the formula Calculate the maximum power tracking score below the rated wind speed, where Y1 is the maximum power tracking score. The integral result of the design power coefficient curve for the wind speed range below the rated wind speed is given, where... V w Where M is the rated wind speed, and M is the number of wind speed ranges below the rated wind speed; using the formula Calculate the score for the constant power zone above the rated wind speed, where Y2 is the score for the constant power zone. The integral result of the design power coefficient curve for the wind speed range above the rated wind speed is given, where... V max denoted as the maximum wind speed, and n represents the total number of wind speed intervals.
[0012] Based on the above implementation, the evaluation conditions include a first evaluation standard value corresponding to the wind speed range above the rated wind speed and a second evaluation standard value corresponding to the wind speed range below the rated wind speed; the step of determining the efficiency evaluation result of the target wind turbine based on the evaluation score and evaluation conditions includes: determining the efficiency evaluation result of the target wind turbine based on the comparison results of the constant power zone score and the first evaluation standard value, and the comparison results of the maximum power tracking zone score and the second evaluation standard value, respectively.
[0013] Based on the aforementioned implementation method, the step of determining the evaluation score corresponding to the target wind turbine by comprehensively considering the interval scores includes: determining the influence weight values of different wind speed intervals; and calculating the evaluation score by comprehensively considering the influence weight values and the interval scores.
[0014] This specification also proposes a wind turbine wind energy utilization efficiency evaluation device, comprising: a turbine data acquisition module for acquiring turbine data corresponding to a target wind turbine; the turbine data including operating data and design parameters; a measured wind energy utilization efficiency calculation module for calculating the measured wind energy utilization efficiency corresponding to different wind speed ranges based on the operating data; a design wind energy utilization efficiency calculation module for calculating the design wind energy utilization efficiency corresponding to different wind speed ranges based on the design parameters; a fitting module for fitting the measured wind energy utilization efficiency and the design wind energy utilization efficiency to obtain a measured range fitting result and a design range fitting result, respectively; and an efficiency evaluation result determination module for determining the efficiency evaluation result of the target wind turbine based on the comparison result of the measured range fitting result and the design range fitting result.
[0015] This specification also proposes a wind turbine wind energy utilization efficiency evaluation device, the device including a memory and a processor; the memory is used to store computer programs / instructions; the processor is used to execute the computer programs / instructions to implement the steps of the above-described wind turbine wind energy utilization efficiency evaluation method.
[0016] As can be seen from the technical solutions provided in the embodiments of this specification above, these embodiments obtain the operating data and design parameters of the target wind turbine, and then calculate the measured wind energy utilization efficiency and the design wind energy utilization efficiency for different wind speed ranges. The wind energy utilization efficiency is then fitted to obtain corresponding fitting results. By comparing the fitting results for the measured range and the fitting results for the design range, the efficiency of the wind turbine can be effectively evaluated. This method not only quantitatively and effectively calculates the wind energy utilization efficiency of the wind turbine, but also evaluates the efficiency of the wind turbine by comparing the fitting results of the measured and design utilization efficiencies and combining them with relevant evaluation standards. This allows for the determination of whether the generator set needs adjustment based on the evaluated efficiency, demonstrating good practical application value. Attached Figure Description
[0017] To more clearly illustrate the technical solutions in the embodiments or prior art of this specification, the drawings used in the description of the embodiments or prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this specification. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0018] Figure 1 This is a flowchart illustrating a method for evaluating the wind energy utilization efficiency of a wind turbine generator set, as described in this specification.
[0019] Figure 2 This is a schematic diagram of the power curve of a wind turbine generator as an embodiment of this specification;
[0020] Figure 3 This is a block diagram of a wind turbine wind energy utilization efficiency evaluation device according to an embodiment of this specification. Detailed Implementation
[0021] The technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this specification, and not all embodiments. Based on the embodiments in this specification, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this specification.
[0022] To address the aforementioned technical problems, this specification proposes a method for evaluating the wind energy utilization efficiency of wind turbine generators. The executing entity of this method is a corresponding wind energy utilization efficiency evaluation device, which specifically includes, but is not limited to, servers, industrial control computers, and PCs. Figure 1 As shown, the wind power utilization efficiency evaluation method for wind turbine units specifically includes the following execution steps.
[0023] S110: Obtain the turbine data corresponding to the target wind turbine; the turbine data includes operating data and design parameters.
[0024] A wind turbine is a system that converts wind energy into electrical energy, typically consisting of a wind turbine and a generator. The blades of the wind turbine rotate under the influence of wind, which in turn drives the generator to produce electricity. Because wind turbines cannot completely convert the wind energy they receive into electrical energy, they suffer from wind energy utilization efficiency issues. To ensure the effective application of wind turbines, it is necessary to evaluate their wind energy utilization efficiency to determine whether it meets the standards, and to inspect and correct any turbines that fail to meet the standards.
[0025] The target wind turbine is the unit whose wind energy utilization efficiency needs to be evaluated. To perform the subsequent evaluation, it is first necessary to obtain relevant unit data for the target wind turbine. This unit data primarily defines the specifications and operating status of the target wind turbine. Specifically, the unit data may include operating data and design parameters.
[0026] Operational data refers to the specific parameters exhibited by the wind turbine during actual operation. Because operational data is correlated with the actual operating status, it can effectively enable the calculation of actual wind energy utilization efficiency. Specifically, the operational data includes operating time, turbine active power, and wind speed.
[0027] The design parameters are the relevant parameters corresponding to the design specifications of wind turbine generators. These parameters are related to the actual state of the wind turbine generators, thus effectively determining the relevant standards for the design of the wind turbine generators, and consequently enabling the calculation of the design wind energy utilization efficiency. Specifically, the design parameters include the generator design efficiency, the design efficiency of other transmission equipment, and the design power characteristic curve.
[0028] In practical applications, specific parameter types can be extended according to requirements, and are not limited to the above examples, which will not be elaborated here.
[0029] S120: Calculate the measured wind energy utilization efficiency corresponding to different wind speed ranges based on the operating data.
[0030] Since operational data effectively reflects the actual operating status of wind turbines, the measured wind energy utilization efficiency can be calculated based on this data. The measured wind energy utilization efficiency is the operating efficiency of the wind turbine during actual operation, and its efficiency is quantitatively evaluated through quantitative calculation.
[0031] Meanwhile, since the actual operating conditions of wind turbines vary across different wind speed ranges, it is necessary to divide wind speeds into corresponding ranges and calculate the measured wind energy utilization efficiency for each range separately to ensure the accuracy of subsequent comprehensive evaluations. The specific size of the wind speed range can be determined based on actual needs.
[0032] Specifically, formulas can be used. Calculate the measured wind energy utilization efficiency for each wind speed range, where C P,i Let P be the measured wind energy utilization efficiency for the i-th wind speed range. i Let be the normalized output power of the wind turbine in the i-th interval, where P i ' represents the active power output of the wind turbine in the i-th interval, h f For generator design efficiency, h c For the design efficiency of other transmission equipment, r0 is the reference air density, A is the swept area of the impeller, and V i Let be the normalized average wind speed of the i-th interval.
[0033] By calculating the measured wind energy utilization efficiency in different wind speed ranges, the actual operating efficiency of wind turbine units was quantitatively evaluated, which enabled the effective completion of the specific evaluation process in subsequent steps.
[0034] S130: Calculate the design wind energy utilization efficiency corresponding to different wind speed ranges based on the design parameters.
[0035] Accordingly, the design wind energy utilization efficiency also needs to be calculated based on the design parameters. Since the design wind energy utilization efficiency is related to the design specifications of the wind turbine, it can be calculated directly based on the corresponding specification parameters.
[0036] In some implementations, the design power and design wind speed can be extracted from the design power characteristic curve first. The design power and design wind speed are parameters that can be determined during the design and assembly stage of the wind turbine and can be directly extracted from the design parameters.
[0037] like Figure 2 The figure shows a schematic diagram of a power characteristic curve. The horizontal axis represents wind speed, and the vertical axis represents power. The power characteristic curve effectively demonstrates the correspondence between wind speed and power curves. From the power characteristic curve, combined with the wind speed range, the corresponding design power and design wind speed can be conveniently and effectively determined.
[0038] Based on the obtained design power and design wind speed, and referring to the aforementioned calculation process, the design wind energy utilization efficiency can be calculated. Specifically, the formula can be used... Calculate the design wind energy utilization efficiency for each wind speed range, where, Let be the design wind energy utilization efficiency for the i-th wind speed range. Let be the normalized design output power of the wind turbine in the i-th interval, where P is the design power, h f For generator design efficiency, h c For the design efficiency of other transmission equipment, r0 is the reference air density, A is the swept area of the impeller, and V i Let be the normalized average wind speed of the i-th interval.
[0039] By calculating the wind energy utilization efficiency and combining it with the specifications of the wind turbine, the evaluation criteria for the current wind turbine were effectively determined, ensuring the implementation of the subsequent specific evaluation process. The targeted evaluation also ensured the accuracy of the evaluation results.
[0040] S140: Fit the measured wind energy utilization efficiency and the design wind energy utilization efficiency to obtain the measured interval fitting results and the design interval fitting results, respectively.
[0041] Based on the aforementioned calculation results, a further fitting process is performed. The purpose of the fitting is to determine the fitting formula corresponding to the measured wind energy utilization efficiency and the design wind energy utilization efficiency, thereby facilitating calculations in subsequent processes.
[0042] Specifically, based on the measured wind energy utilization efficiency and the design wind energy utilization efficiency calculated in steps S120 and S130, the measured power coefficient curve and the design power coefficient curve can be fitted. The measured power coefficient curve is a fitting formula corresponding to the measured wind energy utilization efficiency. The design power factor curve is a fitting formula corresponding to the design wind energy utilization efficiency. The specific fitting process can be set according to the actual application situation, and will not be elaborated here.
[0043] Based on the determined fitting formula, the fitting results for the measured interval and the design interval corresponding to different wind speed ranges can be determined. Fitting facilitates subsequent calculations, thereby enabling the final evaluation.
[0044] S150: Determine the efficiency evaluation result of the target wind turbine based on the comparison between the measured interval fitting result and the design interval fitting result.
[0045] After obtaining the measured interval fitting results and the design interval fitting results, these two results can be compared. Since the design interval fitting results reflect the wind energy utilization efficiency of the unit under normal conditions, the comparison can determine whether the unit is currently operating normally.
[0046] In some implementations, the fitting results for the measured interval and the fitting results for the designed interval can be integrated separately, and the integration results can be compared. Since the fitting formula has been determined in the aforementioned process, the integration process can be directly completed using the fitting formula.
[0047] The process of integration comparison is relatively intuitive and convenient. For example, when the area of the measured interval fitting result is greater than the area of the design interval fitting result, it can be considered that the actual efficiency is greater than the design efficiency, so 100 points, or 1, is awarded in this small interval. When the area of the measured interval fitting result is less than the area of the design interval fitting result, the actual operating state is poor, and a score is awarded based on the relative deviation between the area of the measured interval fitting result and the area of the design interval fitting result.
[0048] In addition, the integration can be performed separately for different wind speed ranges to ensure the accuracy of the results and the validity of the comparison results.
[0049] After determining the comparison results for different intervals, the evaluation score corresponding to the target wind turbine can be determined by combining the interval scores of different wind speed intervals. For example, the evaluation score can be determined directly by addition, or a comprehensive evaluation result can be obtained through other types of calculations.
[0050] In some implementations, influence weight values can be set for different wind speed ranges. Since different wind speed ranges have different reference value for efficiency evaluation, for example, although the efficiency of wind turbines is lower when the wind speed is too high or too low, it is not suitable as the main reference for evaluating the efficiency of wind turbines. Therefore, a lower influence weight value can be set; a higher influence weight value can be set for the wind speed range in which some wind turbines mainly operate.
[0051] By combining the influence weight values of different wind speed ranges and the range scores, the final evaluation score is calculated through a weighted calculation method, thereby ensuring the accuracy of the evaluation results.
[0052] In the specific comparison process, the rated wind speed can also be used for separate comparisons. Since the criteria for judging wind speeds above and below the rated wind speed may differ, a comprehensive judgment interval can be defined using the rated wind speed. Accordingly, separate comprehensive calculations are performed for the intervals above and below the rated wind speed to ensure the applicability of the final calculation results.
[0053] Specifically, formulas can be used. Calculate the measured interval integral result for the i-th wind speed interval, where, The measured power coefficient curve, V i Let be the starting wind speed of the i-th wind speed interval. Simultaneously, using the formula... Calculate the design interval integral result for the i-th wind speed interval, where, To design the power factor curve, the final formula is used. Calculate the interval score for the i-th wind speed interval, where Y i Let i be the interval score for the i-th wind speed interval.
[0054] Correspondingly, formulas can be used Calculate the maximum power tracking score below the rated wind speed, where Y1 is the maximum power tracking score. The integral result of the design power coefficient curve for the wind speed range below the rated wind speed is given, where... V w Let M be the rated wind speed, and i = 1, 2, 3...M, where M is the number of wind speed ranges below the rated wind speed. Simultaneously, use the formula... Calculate the score for the constant power zone above the rated wind speed, where Y2 is the score for the constant power zone. The integral result of the design power coefficient curve for the wind speed range above the rated wind speed is given, where... V max Let n be the maximum wind speed, and n be the total number of wind speed intervals, i = M+1, M+2, ..., n.
[0055] After determining the final evaluation score, the efficiency evaluation result of the target wind turbine can be determined based on the evaluation score and evaluation conditions. Evaluation conditions are used to define specific evaluation criteria; by comparing the evaluation score with the evaluation conditions, the final operating status of the wind turbine can be easily and intuitively determined. Evaluation conditions can be determined based on the calculated parameters of the wind turbine under normal and abnormal conditions in actual applications. Specific setting rules can be adjusted according to actual circumstances and are not restricted.
[0056] The evaluation conditions may include a first evaluation standard value corresponding to the wind speed range above the rated wind speed and a second evaluation standard value corresponding to the wind speed range below the rated wind speed. Accordingly, the efficiency evaluation result of the target wind turbine can be determined based on the comparison results between the constant power zone score and the first evaluation standard value, and the comparison results between the maximum power tracking zone score and the second evaluation standard value, respectively. The first and second evaluation standard values correspond to the evaluation standard thresholds when the wind turbine is operating normally. These standard values can be set based on practical application experience, or by comparing the evaluation results reflected in the data of different samples of turbines in practical applications; there are no restrictions on this.
[0057] Specifically, the first and second evaluation standard values can be set to 80. When Y1 ≥ 80, it indicates a high wind energy utilization efficiency score within the wind speed range below the rated wind speed, and the wind turbine torque control characteristics meet the design requirements. When Y1 < 80, it indicates a low wind energy utilization efficiency score within the wind speed range below the rated wind speed, and the wind turbine torque control characteristics do not meet the design requirements. It is necessary to check whether the torque gain coefficient setting in the generator torque controller is consistent with the design value provided by the manufacturer. When Y2 ≥ 80, it indicates a high wind energy utilization efficiency score within the wind speed range above the rated wind speed, and the wind turbine pitch control characteristics meet the design requirements. When Y2 < 80, it indicates a low wind energy utilization efficiency score within the wind speed range above the rated wind speed, and the wind turbine pitch control characteristics do not meet the design requirements. It is necessary to check whether the pitch curve setting in the blade pitch controller is consistent with the curve provided by the manufacturer. In practical applications, the specific values of the evaluation standard values can be adjusted according to needs, and there are no restrictions on this.
[0058] Through the above-described embodiments and scenario examples of the wind turbine control method, the method acquires the operating data and design parameters of the target wind turbine, and then calculates the measured wind energy utilization efficiency and the designed wind energy utilization efficiency for different wind speed ranges. The method then performs fitting on the wind energy utilization efficiency to obtain corresponding fitting results, and by comparing the fitting results for the measured range and the design range, the efficiency of the wind turbine can be effectively evaluated. This method not only quantitatively and effectively calculates the wind energy utilization efficiency of the wind turbine, but also evaluates the efficiency of the wind turbine by comparing the fitting results of the measured and designed utilization efficiencies and combining them with relevant evaluation standards. Based on the evaluated efficiency, it can determine whether the generator set needs adjustment, thus possessing significant practical application value.
[0059] Based on the above-described method for evaluating the wind energy utilization efficiency of wind turbine generators, this specification also proposes a device for evaluating the wind energy utilization efficiency of wind turbine generators. For example... Figure 3 As shown, the wind turbine wind energy utilization efficiency evaluation device may include the following modules.
[0060] The unit data acquisition module 310 is used to acquire unit data corresponding to the target wind turbine unit; the unit data includes operating data and design parameters.
[0061] The measured wind energy utilization efficiency calculation module 320 is used to calculate the measured wind energy utilization efficiency corresponding to different wind speed ranges based on the operating data.
[0062] The design wind energy utilization efficiency calculation module 330 is used to calculate the design wind energy utilization efficiency corresponding to different wind speed ranges based on the design parameters.
[0063] The fitting module 340 is used to fit the measured wind energy utilization efficiency and the design wind energy utilization efficiency to obtain the measured interval fitting result and the design interval fitting result, respectively.
[0064] The efficiency evaluation result determination module 350 is used to determine the efficiency evaluation result of the target wind turbine based on the comparison result of the measured interval fitting result and the design interval fitting result.
[0065] based on Figure 1 The corresponding wind turbine wind energy utilization efficiency evaluation method, and the embodiments of this specification provide a wind turbine wind energy utilization efficiency evaluation device. The wind turbine wind energy utilization efficiency evaluation device may include a memory and a processor.
[0066] In this embodiment, the memory can be implemented in any suitable manner. For example, the memory can be a read-only memory, a hard disk drive, a solid-state drive, or a USB flash drive, etc. The memory can be used to store computer program instructions.
[0067] In this embodiment, the processor can be implemented in any suitable manner. For example, the processor can take the form of a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro)processor, logic gates, switches, application-specific integrated circuits (ASICs), programmable logic controllers, and embedded microcontrollers, etc. The processor can execute the computer program instructions to implement... Figure 1 The wind energy utilization efficiency evaluation method of the wind turbine in the corresponding embodiment.
[0068] It should be noted that the above-mentioned wind turbine wind energy utilization efficiency assessment methods, devices and equipment can be applied to the field of wind power generation technology, and can also be applied to other technical fields based on demand, without any restrictions.
[0069] Although the process described above includes multiple operations that occur in a specific order, it should be clearly understood that these processes may include more or fewer operations, which may be executed sequentially or in parallel (e.g., using parallel processors or a multithreaded environment).
[0070] 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 specification. 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.
[0071] 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.
[0072] 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.
[0073] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.
[0074] Memory may include non-persistent storage in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.
[0075] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.
[0076] Those skilled in the art will understand that the embodiments of this specification can be provided as methods, systems, or computer program products. Therefore, the embodiments of this specification can take the form of entirely hardware embodiments, entirely software embodiments, or embodiments combining software and hardware aspects. Furthermore, the embodiments of this specification can take the form of computer program products 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.
[0077] The embodiments described in this specification can be described in the general context of computer-executable instructions, such as program modules, that are executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc., that perform a specific task or implement a specific abstract data type. The embodiments of this specification can also be practiced in distributed computing environments where tasks are performed by remote processing devices connected via a communication network. In distributed computing environments, program modules can reside in local and remote computer storage media, including storage devices.
[0078] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, system embodiments are basically similar to method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions in the method embodiments. In the description of this specification, the terms "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the embodiments in this specification. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described can be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification and the features of different embodiments or examples.
[0079] The above description is merely an embodiment of this application and is not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.
Claims
1. A method for evaluating the wind energy utilization efficiency of wind turbine generators, characterized in that, include: Obtain the turbine data corresponding to the target wind turbine; the turbine data includes operating data and design parameters; The measured wind energy utilization efficiency corresponding to different wind speed ranges is calculated based on the operational data. Calculate the design wind energy utilization efficiency corresponding to different wind speed ranges based on the design parameters; The measured wind energy utilization efficiency and the design wind energy utilization efficiency were fitted to obtain the measured interval fitting results and the design interval fitting results, respectively. The efficiency evaluation result of the target wind turbine is determined based on the comparison between the measured interval fitting results and the designed interval fitting results. The step of determining the efficiency evaluation result of the target wind turbine based on the comparison between the measured interval fitting result and the design interval fitting result includes: Compare the measured interval fitting results and the design interval fitting results for each wind speed interval, and determine the interval score corresponding to each wind speed interval based on the comparison results. The evaluation score corresponding to the target wind turbine is determined by combining the interval scores. The efficiency evaluation result of the target wind turbine is determined based on the evaluation score and evaluation conditions. The measured interval fitting result includes the measured power coefficient curve; the design interval fitting result includes the fitted power coefficient curve; the step of comparing the measured interval fitting result and the design interval fitting result for each wind speed interval, and determining the interval score corresponding to each wind speed interval based on the comparison result, includes: Using formula Calculate the first i The integral result of the measured interval for each wind speed interval, where, This is the measured power coefficient curve. For the first i The initial wind speed of each wind speed range; Using formula Calculate the first i The design interval integral result for each wind speed interval is given by the formula, where... To design the power coefficient curve; Using formula Calculate the first i The interval score for each wind speed range is given by the formula. For the first i Zone score for each wind speed range; The determination of the evaluation score corresponding to the target wind turbine by comprehensively considering the interval scores includes: Using formula Calculate the maximum power tracking zone score below the rated wind speed, where, Scoring for the maximum power tracking region, The integral result of the design power coefficient curve for the wind speed range below the rated wind speed is given, where... , Rated wind speed, M The number of wind speed ranges below the rated wind speed; Using formula Calculate the constant power zone score above the rated wind speed, where, Scoring for the constant power region, The integral result of the design power coefficient curve for the wind speed range above the rated wind speed is given, where... , At maximum wind speed, n This represents the total number of wind speed ranges.
2. The method as described in claim 1, characterized in that, The operating data includes operating time, unit active power, and wind speed; the design parameters include generator design efficiency, design efficiency of other transmission equipment, and design power characteristic curve.
3. The method as described in claim 2, characterized in that, The calculation of the measured wind energy utilization efficiency corresponding to different wind speed ranges based on the operational data includes: Using formula Calculate the measured wind energy utilization efficiency for each wind speed range, where, Let be the measured wind energy utilization efficiency for the i-th wind speed range. For the first i The output power of the wind turbine after range normalization, where... , For the first i The active power output of the wind turbine units in the interval. Design efficiency for generators, To improve the efficiency of other transmission equipment. For reference air density, To sweep the area of the wind turbine, For the first i The normalized average wind speed within the interval; The calculation of the design wind energy utilization efficiency corresponding to different wind speed ranges based on the design parameters includes: Extract the design power and design wind speed from the design power characteristic curve; Using formula Calculate the design wind energy utilization efficiency for each wind speed range, where, Let be the design wind energy utilization efficiency for the i-th wind speed range. For the first i The output power of the wind turbine after standardization of the interval, where... , For design power, Design efficiency for generators, To improve the efficiency of other transmission equipment. For reference air density, To sweep the area of the wind turbine, For the first i The average wind speed after interval normalization.
4. The method as described in claim 1, characterized in that, The process of fitting the measured wind energy utilization efficiency and the design wind energy utilization efficiency to obtain the measured interval fitting results and the design interval fitting results, respectively, includes: By combining the measured wind energy utilization efficiency and the design wind energy utilization efficiency for various wind speed ranges, the measured power coefficient curve and the design power coefficient curve are respectively fitted. The measured power coefficient curve is a fitting formula corresponding to the measured wind energy utilization efficiency, and the design power coefficient curve is a fitting formula corresponding to the design wind energy utilization efficiency.
5. The method as described in claim 1, characterized in that, The evaluation criteria include a first evaluation standard value corresponding to the wind speed range above the rated wind speed and a second evaluation standard value corresponding to the wind speed range below the rated wind speed; the determination of the efficiency evaluation result of the target wind turbine based on the evaluation score and evaluation criteria includes: The efficiency evaluation results of the target wind turbine are determined based on the comparison results between the constant power zone score and the first evaluation standard value, and the comparison results between the maximum power tracking zone score and the second evaluation standard value.
6. The method as described in claim 1, characterized in that, The determination of the evaluation score corresponding to the target wind turbine by comprehensively considering the interval scores includes: Determine the influence weight values for different wind speed ranges; The evaluation score is calculated by combining the aforementioned influence weight values and interval scores.
7. A wind turbine wind energy utilization efficiency evaluation device, characterized in that, include: The unit data acquisition module is used to acquire unit data corresponding to the target wind turbine unit; the unit data includes operating data and design parameters. The measured wind energy utilization efficiency calculation module is used to calculate the measured wind energy utilization efficiency corresponding to different wind speed ranges based on the operating data. The design wind energy utilization efficiency calculation module is used to calculate the design wind energy utilization efficiency corresponding to different wind speed ranges based on the design parameters. The fitting module is used to fit the measured wind energy utilization efficiency and the design wind energy utilization efficiency to obtain the measured interval fitting result and the design interval fitting result, respectively. The efficiency evaluation result determination module is used to determine the efficiency evaluation result of the target wind turbine based on the comparison result between the measured interval fitting result and the design interval fitting result; Specifically, the efficiency evaluation result determination module is used to: compare the measured interval fitting results and the design interval fitting results for each wind speed interval, and determine the interval score corresponding to each wind speed interval based on the comparison results; determine the evaluation score corresponding to the target wind turbine based on the interval scores; and determine the efficiency evaluation result of the target wind turbine based on the evaluation score and evaluation conditions. The measured interval fitting results include the measured power coefficient curve; the design interval fitting results include the fitted power coefficient curve; the step of comparing the measured interval fitting results and the design interval fitting results for each wind speed interval, and determining the interval score corresponding to each wind speed interval based on the comparison results, includes: using the formula Calculate the first i The integral result of the measured interval for each wind speed interval, where, This is the measured power coefficient curve. For the first i The initial wind speed of each wind speed range; using the formula Calculate the first i The design interval integral result for each wind speed interval is given by the formula, where... To design the power factor curve; using the formula Calculate the first i The interval score for each wind speed range is given by the formula. For the first i Zone score for each wind speed range; The determination of the evaluation score corresponding to the target wind turbine by comprehensively considering the interval scores includes: using the formula Calculate the maximum power tracking zone score below the rated wind speed, where, Scoring for the maximum power tracking region, The integral result of the design power coefficient curve for the wind speed range below the rated wind speed is given, where... , Rated wind speed, M This refers to the number of wind speed ranges below the rated wind speed; using the formula... Calculate the constant power zone score above the rated wind speed, where, Scoring for the constant power region, The integral result of the design power coefficient curve for the wind speed range above the rated wind speed is given, where... , At maximum wind speed, n This represents the total number of wind speed ranges.
8. A wind turbine generator set wind energy utilization efficiency evaluation device, characterized in that, The device includes a memory and a processor; the memory is used to store computer programs / instructions; the processor is used to execute the computer programs / instructions to implement the steps of the method according to any one of claims 1-6.
Citation Information
Patent Citations
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