Method and device for determining theoretical electric quantity of wind power plant, electronic equipment and medium
By obtaining and adjusting the target operating parameters of the wind turbine and reconstructing the data, the problem of large errors in the calculation of the theoretical power of the wind farm is solved, and the calculation accuracy is improved. It is suitable for scenarios where the wind farm is large and large-scale.
Patent Information
- Application Number
- CN202411878338.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-19
- Publication Date
- 2025-03-28
AI Technical Summary
The theoretical power calculation methods of existing wind farms, such as the model machine method and the power curve method, have problems with large errors, especially after the wind turbine is large and large-scale, the wind speed measurement is greatly affected, resulting in low calculation results or failure.
By obtaining the target operating parameters of each wind turbine in the wind farm, determining its operating mode, adjusting the target operating parameters based on the wind speed optimization strategy, data reconstruction is carried out, and the theoretical power of the wind farm is finally calculated based on the preset power generation formula.
The calculation accuracy of the wind farm theoretical power generation is improved, and the impact of the wind wheel state and blade attitude on wind speed measurement during shutdown is reduced, thereby avoiding errors caused by wind speed distortion under extreme operating conditions.
Smart Images
Figure CN119720581A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of wind turbines, and in particular to a method, device, electronic equipment and medium for determining theoretical power of a wind farm. Background Art
[0002] As a sustainable natural resource, wind energy has become one of the main ways of generating electricity. Wind farms consisting of multiple wind turbines have become equipment for converting wind energy into electrical energy.
[0003] At present, the calculation methods of theoretical power generation of wind farms mainly adopt the model machine method and the power curve method. Among them, the model machine method selects a representative single-unit device with good performance, stable operation and relatively few failures as a model machine, and the power generation of the model machine during the evaluation period is the theoretical power generation of each target unit in the wind farm. This method can quickly evaluate the theoretical power generation of the unit, but does not consider the uncertainty caused by the individual differences between the model machine and the non-model machine caused by factors such as geographical location, arrangement mode, and differences in unit process manufacturing. As a result, the theoretical power calculated by the model machine method will have a large error, and once the model machine stops due to a major component failure or a long shutdown such as a collector line maintenance, the method will fail. The power curve method can solve the problems of the model unit method very well. It relies on the actual power curve of each unit and the actual wind conditions at the location of each unit to calculate the theoretical power generation. However, with the large-scale and large-scale bases of wind turbines, the wind speed measured by the nacelle anemometer is greatly affected by the rotating wind wheel of the unit and the wake of the surrounding units. Especially when the unit is degraded or shut down quickly, the wind speed of the nacelle anemometer will be obviously distorted, resulting in the theoretical power generation calculated by this method to be low, which makes the final calculation result have a large deviation from the previous design and post-evaluation analysis.
[0004] In view of the above technologies, seeking a method for determining the theoretical power of a wind farm is an urgent problem to be solved by those skilled in the art. Summary of the invention
[0005] The purpose of this application is to provide a method, device, electronic device and medium for determining theoretical power of a wind farm, which can solve the problems of failure or large deviation of the model machine method and power curve method in the prior art, and effectively improve the calculation accuracy of the theoretical power generation of a wind farm.
[0006] In order to solve the above technical problems, on the one hand, the present application provides a method for determining theoretical power of a wind farm, comprising:
[0007] Obtain target operating parameters of each wind turbine in the wind farm;
[0008] Determine the operation mode of the corresponding wind turbine generator set according to the target operation parameters;
[0009] Based on the wind speed optimization strategy, effective target operating parameters corresponding to target operating parameters in different operating modes are determined respectively;
[0010] Reconstruct data of effective target operating parameters corresponding to different operating modes;
[0011] The theoretical power of the wind turbine and wind farm corresponding to the wind speed reconstruction data after data reconstruction is determined based on a preset power generation formula.
[0012] Preferably, obtaining target operating parameters of each wind turbine in the wind farm includes:
[0013] Sampling the operating parameters of each wind turbine in each wind farm based on the parameter sampling format to obtain initial operating parameters;
[0014] The initial operating parameters are resampled and preprocessed within a preset time to obtain the target operating parameters.
[0015] Preferably, determining the operation mode of the corresponding wind turbine generator set according to the target operation parameter includes:
[0016] Performing data quality detection on the target operating parameter to obtain a first detection result;
[0017] Performing objective factor detection on the target operating parameter to obtain a second detection result;
[0018] Performing unit performance testing on target operating parameters to obtain a third testing result;
[0019] The operation mode of the wind turbine generator set is determined according to the first detection result, the second detection result and the third detection result.
[0020] Preferably, the effective target operating parameters corresponding to the target operating parameters in different operating modes are determined based on the wind speed optimization strategy, including:
[0021] When the operation mode is the fully effective mode, all target operation parameters in the current fully effective mode are obtained, and the fully effective average value of all target operation parameters is used as the first effective target operation parameter;
[0022] When the operation mode is the degraded effective mode, all target operation parameters in the current degraded effective mode are obtained, and the degraded effective average value of all target operation parameters is used as the second effective target operation parameter.
[0023] Preferably, determining effective target operating parameters corresponding to target operating parameters in different operating modes respectively based on the wind speed optimization strategy also includes:
[0024] When the operation mode is an invalid mode, all target operation parameters in the current invalid mode are obtained, and an invalid average value is determined according to each target operation parameter, and the maximum value between the invalid average value and the effective operation parameter value of the wind turbine generator set is used as the third effective target operation parameter;
[0025] When the operation mode is an unavailable mode, the operation mode at a previous moment before the current unavailable mode is determined, and the valid target operation parameters corresponding to the operation mode at the previous moment are used as fourth valid target operation parameters.
[0026] Preferably, determining the theoretical power of the wind farm corresponding to the wind speed reconstruction data after data reconstruction based on a preset power generation formula includes:
[0027] Determine the wind frequency distribution of the wind speed time series based on the wind speed reconstruction data after data reconstruction;
[0028] Obtain the unit power curve corresponding to the wind turbine unit;
[0029] Determine the theoretical power of the wind turbine corresponding to the wind frequency distribution and the unit power curve based on the preset power generation formula;
[0030] The sum of the theoretical power of each wind turbine is taken as the theoretical power of the wind farm.
[0031] Preferably, the expression of the preset power generation formula is:
[0032] ;
[0033] Where, T is the preset time; freq vi is the probability distribution of wind speed vi in wind frequency distribution; V in is the cut-in wind speed; V out is the cut-out wind speed; P th,vi is the theoretical power value corresponding to the wind speed vi in the unit power curve; E por is the theoretical power of the wind turbine.
[0034] On the other hand, the present application also provides a device for determining theoretical power of a wind farm, comprising:
[0035] An acquisition module is used to acquire target operating parameters of each wind turbine in the wind farm;
[0036] A first determination module, used to determine the operation mode of the corresponding wind turbine generator set according to the target operation parameters;
[0037] The second determination module is used to determine the effective target operating parameters corresponding to the target operating parameters in different operating modes respectively based on the wind speed optimization strategy;
[0038] A data reconstruction module is used to reconstruct data of effective target operating parameters corresponding to different operating modes;
[0039] The third determination module is used to determine the theoretical power of the wind turbine and the wind farm corresponding to the wind speed reconstruction data after the data reconstruction based on a preset power generation formula.
[0040] On the other hand, the present application also provides an electronic device, comprising a memory for storing a computer program;
[0041] The processor is used to implement the steps of the above-mentioned method for determining the theoretical power of a wind farm when executing a computer program.
[0042] On the other hand, the present application further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above-mentioned method for determining theoretical power of a wind farm are implemented.
[0043] The present application provides a method for determining the theoretical power of a wind farm, including: obtaining target operating parameters of each wind turbine in the wind farm; determining the operating mode of the corresponding wind turbine according to the target operating parameters; determining the effective target operating parameters corresponding to the target operating parameters under different operating modes based on the wind speed optimization strategy; reconstructing the effective target operating parameters corresponding to the different operating modes; and determining the theoretical power of the wind turbine and the wind farm corresponding to the wind speed reconstruction data after the data reconstruction based on the preset power generation formula. It can be seen that the method for determining the theoretical power of a wind farm provided by the present application takes into account the operating modes of different wind turbines in the wind farm under different environments and the target operating parameters under different operating modes. At the same time, the present application uses the wind speed reconstruction data after the effective target operating parameters under different operating modes are used to reconstruct the data to calculate the theoretical power, which avoids the influence of the state of the wind rotor of the wind turbine itself and the blade posture when shutting down on the wake of the wind speed measured by the anemometer in the nacelle of the unit after the large-scale wind farm, and also avoids the influence of wind speed distortion under extreme working conditions, resulting in a large error between the theoretical power and the actual power. BRIEF DESCRIPTION OF THE DRAWINGS
[0044] In order to more clearly illustrate the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.
[0045] Figure 1 A flow chart of a method for determining theoretical power of a wind farm provided in an embodiment of the present application;
[0046] Figure 2A module diagram of a device for determining theoretical power of a wind farm provided in another embodiment of the present application;
[0047] Figure 3 A structural diagram of an electronic device provided in another embodiment of the present application. DETAILED DESCRIPTION
[0048] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.
[0049] The core of this application is to provide a method, device, electronic equipment and medium for determining theoretical power of a wind farm.
[0050] In order to enable those skilled in the art to better understand the present application, the present application is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.
[0051] Figure 1 A flow chart of a method for determining theoretical power of a wind farm provided in an embodiment of the present application, such as Figure 1 As shown, the following steps are included:
[0052] S10: Obtain target operating parameters of each wind turbine in the wind farm.
[0053] S11: Determine the operation mode of the corresponding wind turbine generator set according to the target operation parameters.
[0054] S12: Determine effective target operating parameters corresponding to target operating parameters in different operating modes based on the wind speed optimization strategy.
[0055] S13: Reconstructing data of effective target operating parameters corresponding to different operating modes.
[0056] S14: Determine theoretical power of the wind turbine and wind farm corresponding to the wind speed reconstruction data after data reconstruction based on a preset power generation formula.
[0057] In a specific embodiment, a wind farm is composed of multiple wind turbines, but the specific state of the wind turbines is affected by the use environment, geographical environment, equipment quality, etc., and it is impossible to ensure that all wind turbines in the wind farm are in the same operating mode at the same time. Therefore, under the premise of determining the theoretical power of the wind farm, this application needs to classify the wind turbines in different operating modes and then calculate them. The specific steps are: the control equipment in the wind farm first obtains the target operating parameters of all wind turbines in the wind farm, and then analyzes and detects each target operating parameter, determines the current operating mode of the wind turbine corresponding to each target operating parameter, and then classifies the wind turbines according to different operating modes, and then determines the effective target operating parameters corresponding to the target operating parameters under different operating modes based on the wind speed optimization strategy, and then reconstructs the effective target operating parameters corresponding to different operating modes to ensure that the current reconstructed data can represent the operating parameters of the entire wind farm at the current moment, and then determines the theoretical power of the wind turbines and the wind farm according to the wind speed reconstruction data after data reconstruction.
[0058] In the embodiment, in the step of reconstructing the data of the target operating parameters under different operating modes based on the wind speed optimization strategy, the main principle is: the values for realizing the specific theoretical power calculation under different operating modes are different, so it is necessary to adopt the wind speed optimization strategy to perform preliminary calculation and screening of the target operating parameters under different operating modes, and then reconstruct the data of the preliminary calculated or screened values to obtain wind speed reconstruction data.
[0059] It should be noted that using a single numerical value to determine the operating mode of a wind turbine is highly random, so the target operating parameter in this application does not refer to a single numerical value, but a group of numerical values. Using a group of numerical values to determine the operating mode of a wind turbine can improve the accuracy of the operating mode.
[0060] Among them, the operating modes are specifically divided into four categories. The first category is: fully effective mode; the second category is: degraded effective mode; the third category is: unavailable mode; and the fourth category is: unavailable mode.
[0061] Its fully effective mode means that the wind turbine operates at 100% full capacity, and there is no situation where the output does not meet expectations due to factors such as control strategies.
[0062] The degraded effective mode refers to the mode in which the output of the wind turbine is lower than expected due to limitations of its own components, over-temperature safety protection, external power grid dispatch instructions, etc.
[0063] Invalid mode refers to the unavailable state of the unit due to its own or external reasons, generally referring to the unit being in a shutdown state in the current state.
[0064] The unavailable mode refers to the situation where no data is available due to communication interruption or failure, data packet loss, etc.
[0065] The present application provides a method for determining the theoretical power of a wind farm, including: obtaining target operating parameters of each wind turbine in the wind farm; determining the operating mode of the corresponding wind turbine according to the target operating parameters; determining the effective target operating parameters corresponding to the target operating parameters under different operating modes based on the wind speed optimization strategy; reconstructing the effective target operating parameters corresponding to the different operating modes; and determining the theoretical power of the wind turbine and the wind farm corresponding to the wind speed reconstruction data after the data reconstruction based on the preset power generation formula. It can be seen that the method for determining the theoretical power of a wind farm provided by the present application takes into account the operating modes of different wind turbines in the wind farm under different environments and the target operating parameters under different operating modes. At the same time, the present application uses the wind speed reconstruction data after the effective target operating parameters under different operating modes are used to reconstruct the data to calculate the theoretical power, which avoids the influence of the state of the wind rotor of the wind turbine itself and the blade posture when shutting down on the wake of the wind speed measured by the anemometer in the nacelle of the unit after the large-scale wind farm, and also avoids the influence of wind speed distortion under extreme working conditions, resulting in a large error between the theoretical power and the actual power.
[0066] On the basis of the above embodiment, as a preferred embodiment, the above step S10: obtaining the target operating parameters of each wind turbine in the wind farm is specifically implemented as follows: sampling the operating parameters of each wind turbine in each wind farm based on the parameter sampling format to obtain initial operating parameters; resampling and preprocessing the initial operating parameters within a preset time to obtain target operating parameters.
[0067] In a specific embodiment, since the components in different wind turbines may not be from the same manufacturer, problems such as data incompatibility may occur during the data transmission process. Therefore, the present application limits the universal format as the parameter sampling format to sample the operating parameters of all wind turbines in the current wind farm. The data obtained at this time are the initial operating parameters; however, since the wind turbines are generally running all the time, the current initial operating parameters are too large to be convenient for subsequent calculations. Therefore, the initial operating parameters are resampled and preprocessed within a preset time to obtain the target operating parameters.
[0068] For example, based on the huge initial operating parameters, a data sampling is performed every 30 seconds for 5 minutes, that is, 10 values under resampling preprocessing are used as target operating parameters.
[0069] On the basis of the above embodiments, as a preferred embodiment, the above step S11: determining the operating mode of the corresponding wind turbine according to the target operating parameters is specifically implemented as follows: performing a data quality test on the target operating parameters to obtain a first test result; performing an objective factor test on the target operating parameters to obtain a second test result; performing a unit performance test on the target operating parameters to obtain a third test result; and determining the operating mode of the wind turbine according to the first test result, the second test result and the third test result.
[0070] In a specific embodiment, the target operating parameter is a standard for judging the operating mode of the wind turbine generator set, so it is necessary to judge it from multiple aspects. The first aspect is data quality, that is, the data quality of the target operating parameter is tested to obtain a first test result. The judgment standard of the data quality is mainly the completeness of the target operating parameter.
[0071] The second aspect is the judgment of objective factors, that is, to detect the objective factors of the target operating parameters to obtain the second detection result. The evaluation criteria of the objective factors are mainly whether there are grid dispatching instructions, regular inspection and maintenance instructions, substation planned instructions and substation unplanned instructions.
[0072] The third aspect is the determination of the unit performance, that is, to detect the unit performance against the target operating parameters to obtain the third detection result. The evaluation criteria for the unit performance are mainly whether the current wind turbine unit has a hardware failure.
[0073] For example: when the target operating parameters meet the data integrity (first test result), there are no objective factors (second test result), and there is no data that exceeds the valid data principle (third test result), the wind turbine corresponding to the current target operating parameters is in a fully effective mode.
[0074] When the target operating parameters do not fully meet the data integrity (first detection result), that is, there are defects, the wind turbine generator set corresponding to the current target operating parameters is in a degraded effective mode.
[0075] When the target operating parameter is empty (first detection result), or the target operating parameter does not meet the data integrity (first detection result), or the target operating parameter is zero (first detection result), the wind turbine corresponding to the current target operating parameter is in an unavailable mode.
[0076] When the target operating parameters do not meet the requirements of the above-mentioned fully effective mode, degraded effective mode and unavailable mode, the wind turbine group corresponding to the current target operating parameters is in an invalid mode.
[0077] It should be noted that the embodiment provided in the present application is only one possible implementation method, but is not limited to only this implementation method and can be set according to the needs of the user.
[0078] The present application provides a specific implementation method for obtaining the target operating parameters of each wind turbine in a wind farm and a specific implementation method for determining the operating mode of the corresponding wind turbine according to the target operating parameters. Under these two methods, relatively accurate target operating parameters and operating modes of wind turbines can be obtained, laying the foundation for the subsequent calculation of relatively accurate theoretical power.
[0079] On the basis of the above embodiments, as a preferred embodiment, after the operation mode of the corresponding wind turbine is determined according to the target operation parameters, the target operation parameters need to be reconstructed. In the process of data reconstruction, in addition, it is assumed that the target operation parameters of the wind turbine are reliable only in the fully effective mode. When the wind turbine is in the non-fully effective mode, the wind speed at the wind turbine position is affected by the wake of the surrounding units and the rotating wind rotor, resulting in distortion of the acquired wind speed, which cannot represent the target operation parameters at the wind turbine position. In order to restore the influence of the rotating wind rotor of the unit on the wind speed of the nacelle anemometer, the entire data reconstruction process is based on the actual operation mode of each wind turbine to construct a fully effective data mode of the wind farm, and then combined with the target operation parameters of each wind turbine, the target operation parameters in the non-fully effective mode are corrected according to the priority order of the four modes of fully effective, degraded effective, invalid and unavailable (that is, data reconstruction is achieved). Its data reconstruction strategy priority is as follows:
[0080] 1. When the operation mode is the fully effective mode, the wind speed data of each sampling period is the collected wind speed data. Obtain all target operation parameters in the current fully effective mode, and take the average value of all target operation parameters (fully effective average value) as the first effective target operation parameter.
[0081] Second: when the operation mode is the downgraded effective mode, all target operation parameters in the current downgraded effective mode are obtained, and the average value of all target operation parameters (downgraded effective average value) is taken as the second effective target operation parameter.
[0082] 3: When the operating mode is an invalid mode, all target operating parameters in the current invalid mode are obtained, and the average value at this time (invalid average value) is determined according to each target operating parameter, and the maximum value between the invalid average value and the effective operating parameter of the wind turbine (which can be a completely effective average value) is used as the third effective target operating parameter.
[0083] Fourth: when the operation mode is an unavailable mode, determine the operation mode at a previous moment before the current unavailable mode, and use the valid target operation parameters corresponding to the operation mode at the previous moment as the fourth valid target operation parameters.
[0084] After obtaining the first effective target operating parameter, the second effective target operating parameter, the third effective target operating parameter and the fourth effective target operating parameter, data is reconstructed for the first effective target operating parameter, the second effective target operating parameter, the third effective target operating parameter and the fourth effective target operating parameter to obtain operating parameters that can characterize the wind farm at the current moment, namely, wind speed reconstruction data.
[0085] In the specific reconstruction process, four groups of valid target operating parameters (first valid target operating parameters, second valid target operating parameters, third valid target operating parameters and fourth valid target operating parameters) are reconstructed into a group of data, and the specific method is as follows:
[0086] The first method is to preset different weights, multiply different effective target operating parameters by the corresponding weights, and then add the four sets of multiplied parameters to obtain the final operating parameters that can characterize the wind farm at the current moment;
[0087] The second method is to add the four groups of effective target operating parameters to obtain a group of parameters after addition, and then take the average value of this group of parameters as the operating parameters that can characterize the wind farm at the current moment.
[0088] Among them, in the current data reconstruction strategy, the identification of unobtainable mode, invalid mode and degraded valid mode is as follows:
[0089] (1) The parameters of the unobtainable mode need to satisfy the following formula:
[0090] ;
[0091] Since wind speed (a type of target operating parameter) is unpredictable and has strong random fluctuations, during the entire acquisition process, the target operating parameter acquisition cycle is in seconds, and the sampling cycle for data resampling preprocessing is 5 minutes. The DI in the formula represents the integrity of the data; v i,dif 、v i and v i-1 Represents the wind speed at different times.
[0092] (2) The parameters of the invalid mode must satisfy the following formula:
[0093] ;
[0094] Among them, power i is power (a type of target operating parameter).
[0095] (3) The parameters of the downgraded effective mode satisfy the following formula:
[0096] ;
[0097] Among them, power i and power i,dif Represents the power at different times.
[0098] After data reconstruction of the effective target operating parameters corresponding to the different operating modes, it is necessary to calculate the theoretical power of the current wind turbine and wind farm. The specific steps are: first determine the wind frequency distribution of the wind speed time series based on the wind speed reconstruction data after data reconstruction; then obtain the conventional unit power curve in the wind turbine; finally, determine the theoretical power of the wind turbine corresponding to the wind frequency distribution and the unit power curve based on the preset power generation formula, and then use the sum of the theoretical power of each wind turbine as the theoretical power of the wind farm.
[0099] The expression of the preset power generation formula is:
[0100] ;
[0101] Where, T is the preset time; freq vi is the probability distribution of wind speed vi in wind frequency distribution; V in is the cut-in wind speed; V out is the cut-out wind speed; P th,vi is the theoretical power value corresponding to the wind speed vi in the unit power curve; E por is the theoretical power of the wind turbine.
[0102] It should be noted that the embodiment provided in the present application is only one possible implementation method, but is not limited to only this implementation method and can be set according to the needs of the user.
[0103] It can be seen that the method for determining the theoretical power of a wind farm provided by the present application takes into account the operating modes of different wind turbines in the wind farm under different environments, as well as the target operating parameters under different operating modes. At the same time, the present application uses the target operating parameters under different operating modes to reconstruct the wind speed reconstruction data to calculate the theoretical power, which avoids the influence of the state of the wind turbine's own wind rotor and the blade posture during shutdown on the wind speed measured by the anemometer in the unit cabin after the wind farm is large-scaled, and also avoids the influence of wind speed distortion under extreme working conditions, resulting in a large error between the theoretical power and the actual power. And because the currently determined theoretical power of the wind farm is relatively accurate, it can improve product competitiveness and promote the safe and stable operation of the power system.
[0104] In the above embodiments, the method for determining the theoretical power of a wind farm is described in detail, and the present application also provides an embodiment corresponding to the device for determining the theoretical power of a wind farm. It should be noted that the present application describes the embodiments of the device part from two perspectives, one is based on the perspective of functional modules, and the other is based on the perspective of hardware.
[0105] Figure 2 This is a module diagram of a device for determining theoretical power of a wind farm provided in another embodiment of the present application, such as Figure 2 As shown, including:
[0106] An acquisition module 11 is used to acquire target operating parameters of each wind turbine in the wind farm;
[0107] A first determination module 12, used to determine the operation mode of the corresponding wind turbine generator set according to the target operation parameters;
[0108] The second determination module 13 is used to determine the effective target operating parameters corresponding to the target operating parameters in different operating modes respectively based on the wind speed optimization strategy;
[0109] A data reconstruction module 14 is used to reconstruct data of effective target operating parameters corresponding to different operating modes;
[0110] The third determination module 15 is used to determine the theoretical power of the wind turbine and the wind farm corresponding to the wind speed reconstruction data after data reconstruction based on a preset power generation formula.
[0111] Since the embodiments of the apparatus part correspond to the embodiments of the method part, please refer to the description of the embodiments of the method part for the embodiments of the apparatus part, which will not be repeated here.
[0112] Figure 3 A structural diagram of an electronic device provided in another embodiment of the present application, such as Figure 3 As shown, the electronic device includes: a memory 20 for storing a computer program;
[0113] The processor 21 is used to implement the steps of the method for determining the theoretical power of a wind farm mentioned in the above embodiment when executing a computer program.
[0114] The electronic device provided in this embodiment may include but is not limited to a smart phone, a tablet computer, a laptop computer or a desktop computer.
[0115] Among them, the processor 21 may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 21 can be implemented in at least one hardware form of a digital signal processor (DSP), a field-programmable gate array (FPGA), and a programmable logic array (PLA). The processor 21 may also include a main processor and a coprocessor. The main processor is a processor for processing data in the awake state, also known as a central processing unit (CPU); the coprocessor is a low-power processor for processing data in the standby state. In some embodiments, the processor 21 may be integrated with a graphics processing unit (GPU), which is responsible for rendering and drawing the content to be displayed on the display screen. In some embodiments, the processor 21 may also include an artificial intelligence (AI) processor, which is used to process computing operations related to machine learning.
[0116] The memory 20 may include one or more computer-readable storage media, which may be non-transitory. The memory 20 may also include a high-speed random access memory, and a non-volatile memory, such as one or more disk storage devices, flash memory storage devices. In this embodiment, the memory 20 is at least used to store the following computer program 201, wherein, after the computer program is loaded and executed by the processor 21, it can implement the relevant steps of the method for determining the theoretical power of a wind farm disclosed in any of the aforementioned embodiments. In addition, the resources stored in the memory 20 may also include an operating system 202 and data 203, etc., and the storage method may be temporary storage or permanent storage. Among them, the operating system 202 may include Windows, Unix, Linux, etc.
[0117] In some embodiments, the electronic device may further include a display screen 22 , an input / output interface 23 , a communication interface 24 , a power source 25 , and a communication bus 26 .
[0118] Those skilled in the art will understand that Figure 3 The structure shown in the figure does not constitute a limitation on the electronic device, and may include more or fewer components than shown in the figure.
[0119] The electronic device provided in the embodiment of the present application includes a memory and a processor. When the processor executes the program stored in the memory, it can implement the above-mentioned method for determining the theoretical power of a wind farm and has the same beneficial effects.
[0120] Finally, the present application also provides an embodiment corresponding to a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps recorded in the above method embodiment are implemented.
[0121] It is understandable that if the method in the above embodiment is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program code.
[0122] The above is a detailed introduction to a method, device, electronic device and medium for determining theoretical power of a wind farm provided by the present application. The various embodiments in the specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same and similar parts between the embodiments can refer to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can refer to the method part description. It should be pointed out that for ordinary technicians in this technical field, without departing from the principles of the present application, several improvements and modifications can be made to the present application, and these improvements and modifications also fall within the scope of protection of the claims of the present application.
[0123] It should also be noted that, in this specification, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the statement "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or device including the element.
Claims
1. A method for determining theoretical power of a wind farm, characterized in that: include: Obtain target operating parameters of each wind turbine in the wind farm; Determining the corresponding operation mode of the wind turbine generator set according to the target operation parameter; Determine respectively the effective target operating parameters corresponding to the target operating parameters in different operating modes based on the wind speed optimization strategy; Reconstructing data of the effective target operating parameters corresponding to the different operating modes; The theoretical power of the wind turbine and the wind farm corresponding to the wind speed reconstruction data after the data reconstruction is determined based on a preset power generation formula.
2. The method for determining theoretical power of a wind farm according to claim 1, characterized in that: The obtaining of target operating parameters of each wind turbine generator set in the wind farm includes: Sampling the operating parameters of each wind turbine in each wind farm based on a parameter sampling format to obtain initial operating parameters; The initial operating parameters are subjected to resampling preprocessing within a preset time to obtain the target operating parameters.
3. The method for determining theoretical power of a wind farm according to claim 1, characterized in that: Determining the corresponding operation mode of the wind turbine generator set according to the target operation parameter includes: Performing a data quality test on the target operating parameter to obtain a first test result; Performing objective factor detection on the target operating parameter to obtain a second detection result; Performing unit performance detection on the target operating parameters to obtain a third detection result; The operation mode of the wind turbine generator set is determined according to the first detection result, the second detection result and the third detection result.
4. The method for determining theoretical power of a wind farm according to claim 1, characterized in that: The wind speed optimization strategy is based on respectively determining the effective target operating parameters corresponding to the target operating parameters in different operating modes, including: When the operation mode is a fully effective mode, all the target operation parameters in the current fully effective mode are obtained, and the fully effective average value of all the target operation parameters is used as the first effective target operation parameter; When the operation mode is the degraded effective mode, all the target operation parameters in the current degraded effective mode are acquired, and the degraded effective average value of all the target operation parameters is used as the second effective target operation parameter.
5. The method for determining theoretical power of a wind farm according to claim 4, characterized in that: The effective target operating parameters corresponding to the target operating parameters in different operating modes are determined based on the wind speed optimization strategy, and further include: When the operation mode is an invalid mode, all the target operation parameters in the current invalid mode are obtained, and an invalid average value is determined according to each of the target operation parameters, and the maximum value between the invalid average value and the valid operation parameter value of the wind turbine generator set is used as the third valid target operation parameter; When the operating mode is an unavailable mode, the operating mode at a previous moment before the current unavailable mode is determined, and the valid target operating parameters corresponding to the operating mode at the previous moment are used as fourth valid target operating parameters.
6. The method for determining theoretical power of a wind farm according to any one of claims 1 to 5, characterized in that: The determining, based on a preset power generation formula, the theoretical power of the wind turbine generator set and the wind farm corresponding to the wind speed reconstruction data after the data reconstruction, comprises: Determine the wind frequency distribution of the wind speed time series based on the wind speed reconstruction data after the data reconstruction; Obtaining a wind turbine power curve corresponding to the wind turbine; Determine the theoretical power of the wind turbine generator set corresponding to the wind frequency distribution and the turbine power curve based on the preset power generation formula; The sum of the theoretical electric quantities of the wind turbines is taken as the theoretical electric quantity of the wind farm.
7. The method for determining theoretical power of a wind farm according to claim 6, characterized in that: The expression of the preset power generation formula is: ； Where, T is the preset time; freq vi is the probability distribution of wind speed vi in the wind frequency distribution; V in is the cut-in wind speed; V out is the cut-out wind speed; P th,vi is the theoretical power value corresponding to the wind speed vi in the power curve of the unit; E por is the theoretical power of the wind turbine.
8. A device for determining theoretical power of a wind farm, characterized in that: include: An acquisition module is used to acquire target operating parameters of each wind turbine in the wind farm; A first determination module, configured to determine the corresponding operation mode of the wind turbine generator set according to the target operation parameter; A second determination module is used to determine effective target operating parameters corresponding to the target operating parameters in different operating modes based on a wind speed optimization strategy; A data reconstruction module, used for reconstructing data of the effective target operating parameters corresponding to the different operating modes; The third determination module is used to determine the theoretical power of the wind turbine group and the wind farm corresponding to the wind speed reconstruction data after the data reconstruction based on a preset power generation formula.
9. An electronic device, characterized in that: comprising a memory for storing a computer program; A processor is used to implement the steps of the method for determining theoretical power of a wind farm as claimed in any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for determining theoretical power of a wind farm according to any one of claims 1 to 7 are implemented.