Method, device and equipment for acquiring power generation loss of fan

Abstract

The embodiment of the invention provides a fan power generation loss obtaining method, device and equipment. The method comprises the following steps: monitoring current operation data of the fan; judging whether a gust state exists or not according to the current operation data; if the gust state exists, extracting target operation data related to the gust state from the current operation data; and according to the target operation data, power generation loss caused by the gust state is acquired. In this way, the wind turbine generating capacity loss caused by the gust can be accurately evaluated according to the target operation data related to the gust state.

Description

Technical Field

[0001] This disclosure relates to the field of wind power generation, and in particular to the technical field of obtaining wind turbine power generation loss. Background Technology

[0002] Wind turbines are affected by meteorological factors such as sudden changes in wind speed during operation, especially gusts that cause sudden increases or decreases in wind speed, which can lead to instability in turbine operation and even damage. Due to the suddenness, duration, and frequency of gusts, the power generation performance of wind turbines may fluctuate significantly, and even temporary shutdowns may occur. Therefore, accurately and effectively assessing the power generation loss caused by gusts has become an urgent problem to be solved. Summary of the Invention

[0003] This disclosure provides a method, apparatus, equipment, and storage medium for obtaining wind turbine power generation losses.

[0004] According to a first aspect of this disclosure, a method for obtaining wind turbine power generation losses is provided. The method includes:

[0005] Monitor the current operating data of the wind turbine;

[0006] Based on the current operating data, determine whether there is a gust of wind;

[0007] If a gust of wind is present, target operational data related to the gust of wind is extracted from the current operational data;

[0008] Based on the target operating data, the amount of power generation loss caused by the gust of wind is obtained.

[0009] As described above and in any possible implementation, a further implementation is provided, wherein determining whether a gust of wind exists based on the current operating data includes:

[0010] Extract the current wind speed from the current operating data;

[0011] Determine whether the current wind speed is greater than the first preset wind speed;

[0012] If the current wind speed is greater than the first preset wind speed and the duration of the wind speed being greater than the first preset wind speed is greater than the first preset duration, then the duration of the current wind speed being greater than the first preset wind speed is determined to be the gust state.

[0013] As described above and in any possible implementation, a further implementation is provided, wherein determining whether a gust of wind exists based on the current operating data includes:

[0014] Extract the current wind speed from the current operating data;

[0015] If the current wind speed is greater than the second preset wind speed within the second preset time period and the current wind speed continues to increase, then the moment when the wind speed is greater than the second preset wind speed is determined as the start moment of the gust state.

[0016] If the current wind speed continues to increase and then decreases within the second preset time period, and is less than the third preset wind speed, then the moment when it is less than the third preset wind speed is determined as the end time of the gust state; wherein, the second preset wind speed is greater than the third preset wind speed;

[0017] Determine whether the time difference between the end time and the start time is greater than a preset time threshold;

[0018] If the current wind speed exceeds the preset time threshold, then the current wind speed from the start time to the end time is determined to be a gust state.

[0019] In addition to the aspects and any possible implementations described above, a further implementation is provided, wherein extracting target operational data related to the gust state from the current operational data includes:

[0020] Extract the gust time, gust speed, and generator power related to the gust state from the current operating data;

[0021] The step of obtaining the power generation loss caused by the gust of wind based on the target operating data includes:

[0022] Based on the target operating data, determine the gust power generation curve of the wind turbine under gust conditions;

[0023] Obtain the standard power generation curve of the wind turbine;

[0024] The power generation loss caused by the gust is obtained based on the gust power generation curve and the standard power generation curve.

[0025] In addition to the aspects and any possible implementations described above, a further implementation is provided, wherein obtaining the power generation loss caused by the gust state based on the gust power generation curve and the standard power generation curve includes:

[0026] Based on the gust power generation curve, the actual power generation of the wind turbine at each moment under the gust condition is obtained;

[0027] Based on the standard power generation curve, the standard power generation of the wind turbine at each moment under the gust wind condition is obtained;

[0028] The difference between the actual power generation of the wind turbine at each moment under the gust of wind and the standard power generation is statistically analyzed.

[0029] The power generation loss caused by the gust is calculated based on the power difference at each moment under the gust conditions.

[0030] In addition to the aspects described above and any possible implementations, a further implementation is provided in which the target operating data further includes: pitch angle;

[0031] The step of obtaining the power generation loss caused by the gust state based on the gust power generation curve and the standard power generation curve includes:

[0032] Determine whether the pitch angle of the wind turbine under the gust wind condition is greater than a preset pitch angle threshold.

[0033] If the pitch angle is greater than the preset pitch angle threshold, the power generation loss caused by the gust is obtained based on the gust power generation curve and the standard power generation curve.

[0034] In addition to the aspects and any possible implementations described above, a further implementation is provided, wherein the method further includes:

[0035] Based on the target operating data, determine the gust power generation curve under gust conditions;

[0036] Based on the gust power generation curve, the actual power generation under the gust condition is obtained;

[0037] The power generation loss ratio is calculated based on the power generation loss caused by the gust and the actual power generation under the gust.

[0038] According to a second aspect of this disclosure, a device for obtaining wind turbine power generation losses is provided. The device includes:

[0039] A monitoring module is used to monitor the current operating data of the wind turbine;

[0040] The judgment module is used to determine whether there is a gust of wind based on the current operating data;

[0041] An extraction module is used to extract target operating data related to the gust state from the current operating data if a gust state exists.

[0042] The acquisition module is used to acquire the power generation loss caused by the gust of wind based on the target operating data.

[0043] According to a third aspect of this disclosure, an electronic device is provided. The electronic device includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the program to implement the method described above.

[0044] According to a fourth aspect of this disclosure, a computer-readable storage medium is provided having a computer program stored thereon that, when executed by a processor, implements the method according to a first aspect of this disclosure.

[0045] In this disclosure, by monitoring the current operating data of the wind turbine, it is possible to determine whether there is a gust of wind. If there is a gust of wind, target operating data related to the gust of wind is extracted from the current operating data. Then, based on the target operating data, the amount of power generation loss caused by the gust of wind is obtained. In this way, the power generation loss of the wind turbine caused by the gust of wind can be accurately assessed based on the target operating data related to the gust of wind.

[0046] It should be understood that the description in the Summary of the Invention is not intended to limit the key or essential features of the embodiments of this disclosure, nor is it intended to restrict the scope of this disclosure. Other features of this disclosure will become readily apparent from the following description. Attached Figure Description

[0047] The above and other features, advantages, and aspects of the embodiments of this disclosure will become more apparent from the accompanying drawings and the following detailed description. The drawings are provided for a better understanding of the invention and are not intended to limit the scope of this disclosure. In the drawings, the same or similar reference numerals denote the same or similar elements, wherein:

[0048] Figure 1 A flowchart of a method for obtaining wind turbine power generation losses according to an embodiment of the present disclosure is shown;

[0049] Figure 2 A flowchart of a gust state identification method according to an embodiment of the present disclosure is shown;

[0050] Figure 3 A flowchart is shown for another method for obtaining wind turbine power generation losses according to an embodiment of the present disclosure;

[0051] Figure 4 A block diagram of a wind turbine power generation loss acquisition device according to an embodiment of the present disclosure is shown;

[0052] Figure 5 A block diagram of an exemplary electronic device capable of implementing embodiments of the present disclosure is shown. Detailed Implementation

[0053] To make the objectives, technical solutions, and advantages of the embodiments of this disclosure clearer, the technical solutions of the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this disclosure, and not all embodiments. Based on the embodiments of this disclosure, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this disclosure.

[0054] Furthermore, the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0055] Figure 1 A flowchart of a wind turbine power generation loss acquisition method 100 according to an embodiment of the present disclosure is shown. Method 100 may include:

[0056] Step 110: Monitor the current operating data of the wind turbine;

[0057] Current operating data includes, but is not limited to: current wind speed, current pitch angle, current power generation, current time, and other parameters.

[0058] Step 120: Based on the current operating data, determine whether there is a gust of wind.

[0059] Step 130: If there is a gust of wind, extract the target operating data related to the gust of wind from the current operating data;

[0060] The target operating data includes the wind speed measured by the wind turbine under gust conditions, the pitch angle of the wind turbine under gust conditions, the power generation of the wind turbine under gust conditions, and the duration of the gust.

[0061] Step 140: Based on the target operating data, obtain the power generation loss caused by the gust of wind.

[0062] By monitoring the current operating data of the wind turbine, it is possible to determine whether there is a gust of wind. If there is a gust of wind, target operating data related to the gust of wind is extracted from the current operating data. Then, based on the target operating data, the amount of power generation loss caused by the gust of wind is obtained. In this way, the power generation loss of the wind turbine caused by the gust of wind can be accurately assessed based on the target operating data related to the gust of wind.

[0063] In some embodiments, determining whether a gust of wind exists based on the current operating data includes:

[0064] Extract the current wind speed from the current operating data;

[0065] Determine whether the current wind speed is greater than the first preset wind speed;

[0066] If the current wind speed is greater than the first preset wind speed and the duration of the wind speed being greater than the first preset wind speed is greater than the first preset duration, then the duration of the current wind speed being greater than the first preset wind speed is determined to be the gust state.

[0067] By determining whether the current wind speed is greater than the first preset wind speed, if the wind speed is greater than the first preset wind speed and the duration of the wind speed is greater than the first preset duration, it can be determined that the wind suddenly increases during this period. Therefore, the duration of the current wind speed being greater than the first preset wind speed can be determined as the gust state, thus improving the accuracy of gust state identification.

[0068] In some embodiments, determining whether a gust of wind exists based on the current operating data includes:

[0069] Extract the current wind speed from the current operating data;

[0070] If the current wind speed is greater than the second preset wind speed within the second preset time period and the current wind speed continues to increase, then the moment when the wind speed is greater than the second preset wind speed is determined as the start moment of the gust state.

[0071] If the current wind speed continues to increase and then decreases within the second preset time period, and is less than the third preset wind speed, then the moment when it is less than the third preset wind speed is determined as the end time of the gust state; wherein, the second preset wind speed is greater than the third preset wind speed;

[0072] The magnitude of the first preset wind speed and the second preset wind speed are not limited in this application.

[0073] Determine whether the time difference between the end time and the start time is greater than a preset time threshold;

[0074] If the current wind speed exceeds the preset time threshold, then the current wind speed from the start time to the end time is determined to be a gust state.

[0075] After extracting the current wind speed from the current operating data, a wind speed determination is performed. If the current wind speed is greater than the first preset wind speed within a second preset time period, it indicates a sudden increase in wind speed, which meets the preliminary conditions for a gust. Therefore, the moment when the wind speed is greater than the second preset wind speed can be accurately determined as the start time of the gust state. If the current wind speed increases and then decreases within the second preset time period, and is less than the third preset wind speed, it indicates that the wind speed has decreased and continues to decrease, suggesting that the wind is about to weaken or even stop. This initially meets the end conditions for a gust. Therefore, the moment when the wind speed is less than the third preset wind speed can be determined as the end time of the gust state. However, gusts also have the characteristic of persistence. Therefore, to determine whether it is a gust, it is necessary to determine whether the time difference between the end time and the start time is greater than a preset time threshold. If it is greater than the preset time threshold, it indicates that this period was indeed a gust, thus accurately determining the gust state.

[0076] In some embodiments, extracting target operational data related to the gust state from the current operational data includes:

[0077] Extract the gust time, gust speed, and generator power related to the gust state from the current operating data;

[0078] The step of obtaining the power generation loss caused by the gust of wind based on the target operating data includes:

[0079] Based on the target operating data, determine the gust power generation curve of the wind turbine under gust conditions;

[0080] Obtain the standard power generation curve of the wind turbine;

[0081] The standard power generation curve is the power generation curve that comes with the wind turbine after it leaves the factory.

[0082] The power generation loss caused by the gust is obtained based on the gust power generation curve and the standard power generation curve.

[0083] After extracting the target operating data, a correspondence can be established between the wind speed and the generator power in the target operating data, and then fitting can be performed to obtain the gust power generation curve. Then, the standard power generation curve of the wind turbine can be obtained. Based on the gust power generation curve and the standard power generation curve, the power generation loss caused by the gust can be accurately obtained.

[0084] In some embodiments, obtaining the power generation loss caused by the gust state based on the gust power generation curve and the standard power generation curve includes:

[0085] Based on the gust power generation curve, the actual power generation of the wind turbine at each moment under the gust condition is obtained;

[0086] Based on the standard power generation curve, the standard power generation of the wind turbine at each moment under the gust wind condition is obtained;

[0087] The difference between the actual power generation of the wind turbine at each moment under the gust of wind and the standard power generation is statistically analyzed.

[0088] The power generation loss caused by the gust is calculated based on the power difference at each moment under the gust conditions.

[0089] Based on the gust power generation curve, the actual power generation of the wind turbine at each moment under the gust condition can be obtained. Based on the standard power generation curve, the standard power generation of the wind turbine at each moment under the gust condition can be obtained. Then, the power difference between the actual power generation of the wind turbine at each moment under the gust condition and the standard power generation is calculated and integrated over time, so that the power generation loss caused by the gust condition can be accurately calculated.

[0090] In some embodiments, the target operating data further includes: pitch angle;

[0091] The step of obtaining the power generation loss caused by the gust state based on the gust power generation curve and the standard power generation curve includes:

[0092] Determine whether the pitch angle of the wind turbine under the gust wind condition is greater than a preset pitch angle threshold.

[0093] If the pitch angle is greater than the preset pitch angle threshold, the power generation loss caused by the gust is obtained based on the gust power generation curve and the standard power generation curve.

[0094] Since power generation loss is not only caused by gusts, but also by factors such as clearance, and gusts also affect the pitch angle, when gusts are confirmed, it can be determined whether the pitch angle of the wind turbine under gust conditions is greater than a preset pitch angle threshold. If it is greater than the preset pitch angle threshold, it means that the gusts have indeed affected power generation. Therefore, the power generation loss caused by the gust conditions can be accurately obtained based on the gust power generation curve and the standard power generation curve.

[0095] In some embodiments, the method further includes:

[0096] Based on the target operating data, determine the gust power generation curve under gust conditions;

[0097] Based on the gust power generation curve, the actual power generation under the gust condition is obtained;

[0098] The power generation loss ratio is calculated based on the power generation loss caused by the gust and the actual power generation under the gust.

[0099] After determining the power generation curve under gust conditions, the actual power generation under gust conditions can be obtained by integrating with time. Then, the power generation loss caused by gust conditions and the actual power generation under gust conditions are calculated to obtain the power generation loss ratio. That is, the power generation loss ratio is the quotient of the power generation loss caused by gust conditions and the actual power generation under gust conditions.

[0100] like Figure 2 As shown, the gust state identification method of the present invention includes:

[0101] Data acquisition: Meteorological and operational data within the wind farm are obtained by real-time monitoring of parameters such as wind speed, pitch angle, and power.

[0102] Gust detection: Signal processing algorithms (such as Fast Fourier Transform, Moving Average, etc.) are used to analyze wind speed fluctuations and detect abrupt changes in wind speed and the occurrence of gusts. A gust is defined as a wind speed greater than a wind speed threshold 1 for a duration exceeding a duration threshold 1. Alternatively, a gust is defined as the start of a gust when the wind speed exceeds a wind speed threshold 1 within a duration threshold 2, and the end of a gust is defined as the average wind speed within a duration threshold 2 being lower than a wind speed threshold 2. The period from the start to the end of a gust is considered the gust state.

[0103] Gust feature extraction: The duration, wind speed, and wind speed fluctuation range of gusts are extracted as the basis for subsequent power generation loss calculation. The frequency of gust occurrence, duration, and pitch angle are recorded.

[0104] like Figure 3 As shown, the present invention provides a method for obtaining wind turbine power generation losses, the method comprising:

[0105] Obtain the standard power curve of the wind turbine: Based on the technical parameters of the wind turbine, obtain the guaranteed power curve of the wind turbine, which includes the power generation capacity of the wind turbine at different wind speeds.

[0106] The power curve of a wind turbine under gust conditions is called the gust power curve: the gust power curve is obtained based on the wind speed and power generation under gust conditions.

[0107] Power generation loss calculation: Using second-level data to filter the time that meets the gust condition judgment and the pitch angle is greater than the set threshold, the power difference between the actual power under the influence of the gust at the current time and the standard power at the current time is accumulated and integrated over the same time to calculate the power generation loss of the wind turbine.

[0108] Calculation of overall power generation loss of wind farm: Taking into account the gust loss of each wind turbine, the power generation loss of the entire wind farm is calculated. Based on the ratio of the power generation lost by each wind turbine to the total power generation, the overall power generation loss of the wind farm under gusty weather is estimated, as shown in Table 1.

[0109] Table 1 Wind Turbine Gust Identification and Power Generation Loss Table

[0110]

[0111] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this disclosure is not limited to the described order of actions, because according to this disclosure, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily essential to this disclosure.

[0112] The above is an introduction to the method embodiments. The following describes the solution described in this disclosure further through device embodiments.

[0113] Figure 4 A block diagram of a wind turbine power generation loss acquisition device 400 according to an embodiment of the present disclosure is shown. Figure 4 As shown, the device 400 includes:

[0114] Monitoring module 410 is used to monitor the current operating data of the wind turbine;

[0115] The judgment module 420 is used to determine whether there is a gust of wind based on the current operating data;

[0116] Extraction module 430 is used to extract target operating data related to the gust state from the current operating data if a gust state exists;

[0117] The acquisition module 440 is used to acquire the power generation loss caused by the gust of wind based on the target operating data.

[0118] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working process of the described module can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0119] According to embodiments of the present disclosure, the present disclosure also provides an electronic device and a non-transitory computer-readable storage medium storing computer instructions.

[0120] Figure 5A schematic block diagram of an electronic device 800 that can be used to implement embodiments of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0121] Device 800 includes a computing unit 801, which can perform various appropriate actions and processes based on a computer program stored in read-only memory (ROM) 802 or a computer program loaded from storage unit 808 into random access memory (RAM) 803. RAM 803 may also store various programs and data required for the operation of device 800. The computing unit 801, ROM 802, and RAM 803 are interconnected via bus 804. Input / output (I / O) interface 805 is also connected to bus 804.

[0122] Multiple components in device 800 are connected to I / O interface 805, including: input unit 806, such as keyboard, mouse, etc.; output unit 807, such as various types of monitors, speakers, etc.; storage unit 808, such as disk, optical disk, etc.; and communication unit 809, such as network card, modem, wireless transceiver, etc. Communication unit 809 allows device 800 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0123] The computing unit 801 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 801 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 801 performs the various methods and processes described above, such as method 100. For example, in some embodiments, method 100 may be implemented as a computer software program tangibly contained in a machine-readable medium, such as storage unit 808. In some embodiments, part or all of the computer program may be loaded and / or installed on device 800 via ROM 802 and / or communication unit 809. When the computer program is loaded into RAM 803 and executed by the computing unit 801, one or more steps of method 100 described above may be performed. Alternatively, in other embodiments, the computing unit 801 may be configured to perform method 100 by any other suitable means (e.g., by means of firmware).

[0124] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0125] The program code used to implement the methods of this disclosure may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0126] In the context of this disclosure, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0127] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0128] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as a data server), or computing systems that include middleware components (e.g., an application server), or computing systems that include frontend components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with embodiments of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., a communication network). Examples of communication networks include local area networks (LANs), wide area networks (WANs), and the Internet.

[0129] Computing systems can include clients and servers. Clients and servers are generally located far apart and typically interact via communication networks. Client-server relationships are created by computer programs running on the respective computers and having a client-server relationship with each other. Servers can be cloud servers, servers in distributed systems, or servers incorporating blockchain technology.

[0130] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this disclosure can be achieved, and this is not limited herein.

[0131] The specific embodiments described above do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure should be included within the scope of protection of this disclosure.

Claims

1. A method for obtaining wind turbine power generation losses, characterized in that, include: Monitor the current operating data of the wind turbine; Based on the current operating data, determine whether there is a gust of wind; If a gust of wind is present, target operational data related to the gust of wind is extracted from the current operational data; Based on the target operating data, the amount of power generation loss caused by the gust of wind is obtained.

2. The method as described in claim 1, characterized in that, The step of determining whether there is a gust of wind based on the current operating data includes: Extract the current wind speed from the current operating data; Determine whether the current wind speed is greater than the first preset wind speed; If the current wind speed is greater than the first preset wind speed and the duration of the wind speed being greater than the first preset wind speed is greater than the first preset duration, then the duration of the current wind speed being greater than the first preset wind speed is determined to be the gust state.

3. The method as described in claim 1, characterized in that, The step of determining whether there is a gust of wind based on the current operating data includes: Extract the current wind speed from the current operating data; If the current wind speed is greater than the second preset wind speed within the second preset time period and the current wind speed continues to increase, then the moment when the wind speed is greater than the second preset wind speed is determined as the start moment of the gust state. If the current wind speed continues to increase and then decreases within the second preset time period, and is less than the third preset wind speed, then the moment when it is less than the third preset wind speed is determined as the end time of the gust state; wherein, the second preset wind speed is greater than the third preset wind speed; Determine whether the time difference between the end time and the start time is greater than a preset time threshold; If the current wind speed exceeds the preset time threshold, then the current wind speed from the start time to the end time is determined to be a gust state.

4. The method as described in claim 1, characterized in that, The step of extracting target operational data related to the gust state from the current operational data includes: Extract the gust time, gust speed, and generator power related to the gust state from the current operating data; The step of obtaining the power generation loss caused by the gust of wind based on the target operating data includes: Based on the target operating data, determine the gust power generation curve of the wind turbine under gust conditions; Obtain the standard power generation curve of the wind turbine; The power generation loss caused by the gust is obtained based on the gust power generation curve and the standard power generation curve.

5. The method as described in claim 4, characterized in that, The step of obtaining the power generation loss caused by the gust state based on the gust power generation curve and the standard power generation curve includes: Based on the gust power generation curve, the actual power generation of the wind turbine at each moment under the gust condition is obtained; Based on the standard power generation curve, the standard power generation of the wind turbine at each moment under the gust wind condition is obtained; The difference between the actual power generation of the wind turbine at each moment under the gust of wind and the standard power generation is statistically analyzed. The power generation loss caused by the gust is calculated based on the power difference at each moment under the gust conditions.

6. The method as described in claim 4, characterized in that, The target operational data also includes: propeller pitch angle; The step of obtaining the power generation loss caused by the gust state based on the gust power generation curve and the standard power generation curve includes: Determine whether the pitch angle of the wind turbine under the gust wind condition is greater than a preset pitch angle threshold. If the pitch angle is greater than the preset pitch angle threshold, the power generation loss caused by the gust is obtained based on the gust power generation curve and the standard power generation curve.

7. The method according to any one of claims 1 to 6, characterized in that, The method further includes: Based on the target operating data, determine the gust power generation curve under gust conditions; Based on the gust power generation curve, the actual power generation under the gust condition is obtained; The power generation loss ratio is calculated based on the power generation loss caused by the gust and the actual power generation under the gust.

8. A device for obtaining wind turbine power generation losses, characterized in that, include: A monitoring module is used to monitor the current operating data of the wind turbine; The judgment module is used to determine whether there is a gust of wind based on the current operating data; An extraction module is used to extract target operating data related to the gust state from the current operating data if a gust state exists. The acquisition module is used to acquire the power generation loss caused by the gust of wind based on the target operating data.

9. An electronic device, characterized in that, include: Memory and processor The memory stores a computer program, and when the processor executes the program, it implements the method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, When the instructions in the storage medium are executed by the processor corresponding to the electronic device, the electronic device is able to implement the wind turbine power generation loss acquisition method as described in any one of claims 1-7.

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