Wind power generation control method, device, equipment and computer readable storage medium

Abstract

The application discloses a wind power generation control method and device, equipment and a computer readable storage medium, and relates to the technical field of wind power generation control. The method comprises the following steps: acquiring multi-source data of a wind power generator under a current environment, wherein the multi-source data comprises a real environment temperature, a cabin internal temperature and a unit surface thermal imaging data; determining a temperature attention area of the wind power generator according to the cabin internal temperature and the unit surface thermal imaging data, and determining an adaptive temperature control threshold of the temperature attention area according to the real environment temperature; determining a fan temperature control strategy of the wind power generator according to a component area temperature of the temperature attention area and the adaptive temperature control threshold, and performing temperature control adjustment on the temperature attention area according to the fan temperature control strategy. The application aims to improve the temperature control adaptive capability of the wind power generator under a complex and changeable environment.

Description

Technical Field

[0001] This application relates to the field of wind power generation technology, and in particular to a wind power generation control method, apparatus, equipment and computer-readable storage medium. Background Technology

[0002] With the continuous development of wind power technology, the application scenarios of wind power generation are becoming increasingly complex. Extreme environments have a significant impact on the operation of wind turbines, and users have put forward higher requirements for the environmental adaptability of wind turbines.

[0003] In existing technologies, wind turbines typically employ a fixed-threshold temperature control strategy, relying solely on a single-point temperature sensor inside the nacelle to monitor the nacelle's internal temperature during operation. Cooling or heating devices are triggered based on this nacelle temperature and preset fixed upper and lower temperature limits. Since these fixed temperature limits are preset according to normal operating conditions, and the wind turbine lacks the ability to sense external environmental parameters, when the actual external ambient temperature rises and worsens the nacelle's heat dissipation conditions, the cooling trigger is delayed, failing to increase cooling power in advance, resulting in insufficient cooling at high temperatures. Conversely, when the actual external ambient temperature decreases and natural heat dissipation from the nacelle intensifies, heating is still triggered according to the original settings, and waste heat from the unit cannot be recovered, leading to energy waste at low temperatures. This results in poor temperature control adaptability of the wind turbine under extreme environments.

[0004] Therefore, improving the temperature control adaptability of wind turbines in complex and variable environments is a technical problem that urgently needs to be solved in this field. Summary of the Invention

[0005] The main objective of this application is to provide a wind power generation control method, device, equipment, and computer-readable storage medium, which aims to improve the temperature control adaptive capability of wind turbines in complex and variable environments.

[0006] To achieve the above objectives, this application provides a wind power generation control method, the wind power generation control method comprising: Acquire multi-source data of the wind turbine in the current environment, including real ambient temperature, nacelle internal temperature and thermal imaging data of the turbine surface; The temperature interest area of ​​the wind turbine is determined based on the internal temperature of the nacelle and the thermal imaging data of the turbine surface, and the adaptive temperature control threshold of the temperature interest area is determined based on the actual ambient temperature. The wind turbine temperature control strategy is determined based on the component area temperature of the temperature concern area and the adaptive temperature control threshold, and the temperature of the temperature concern area is adjusted according to the wind turbine temperature control strategy.

[0007] In one embodiment, the step of determining the temperature-required area of ​​the wind turbine based on the internal temperature of the nacelle and the thermal imaging data of the turbine surface includes: The unit structure model of the wind turbine is determined, and the unit structure model is run under multiple preset temperature conditions to obtain temperature field sample data corresponding to each temperature condition. The preset neural network model is trained based on all the temperature field sample data to obtain the temperature simulation model of the wind turbine. The internal temperature of the nacelle and the thermal imaging data of the generator surface are input into the temperature simulation model to obtain the temperature field distribution data of the wind turbine. The temperature focus area of ​​the wind turbine is determined based on the temperature field distribution data.

[0008] In one embodiment, the step of determining the temperature-relevant region of the wind turbine based on the temperature field distribution data includes: Determine the component location regions corresponding to the key components of each unit in the unit structure model; Extract the component area temperature of each component location region from the temperature field distribution data, and determine the temperature gradient between the target area temperature and the adjacent component area temperatures. The target area temperature is any one of all the component area temperatures. The component location areas where the component area temperature is not within the preset temperature threshold range, and / or the component location areas where the temperature gradient exceeds the preset gradient threshold, are designated as the temperature concern areas of the wind turbine.

[0009] In one embodiment, the step of determining the adaptive temperature control threshold of the temperature-concerned region based on the actual ambient temperature includes: The temperature scenario type of the current environment is determined based on the ambient temperature of the wind turbine and the actual ambient temperature, and the environmental condition factor corresponding to the temperature scenario type is obtained. From all the key components of the wind turbine generator, locate the key components of the unit located in the temperature concern area, and determine the key components of the unit located in the temperature concern area as the target unit components; The component aging factor of the temperature concern area is determined based on the cumulative operating time and historical highest operating temperature of the target unit components, and the adaptive temperature control threshold of the temperature concern area is determined based on the temperature control reference threshold of the temperature concern area, the environmental condition factor, and the component aging factor.

[0010] In one embodiment, the step of determining the temperature scenario type of the current environment based on the ambient temperature of the wind turbine and the actual ambient temperature includes: Determine the ambient temperature difference between the normal ambient temperature of the wind turbine generator and the actual ambient temperature, and detect whether the ambient temperature difference is within a preset normal ambient temperature difference range. If the ambient temperature difference is higher than the upper limit of the normal temperature difference range, the temperature scenario type of the current environment is determined to be a high temperature environment type. If the ambient temperature difference is lower than the lower limit of the normal temperature difference range, the temperature scenario type of the current environment is determined to be a low temperature environment type.

[0011] In one embodiment, the step of determining the wind turbine temperature control strategy based on the component area temperature of the temperature concern region and the adaptive temperature control threshold includes: Determine whether the temperature of the component area in the temperature interest region is higher than the adaptive temperature control threshold; If the temperature of the component area is higher than the adaptive temperature control threshold, the wind turbine temperature control strategy of the wind turbine is determined to be a cooling regulation strategy. If the temperature of the component area is lower than the adaptive temperature control threshold, the wind turbine temperature control strategy is determined to be a heating regulation strategy.

[0012] In one embodiment, the fan temperature control strategy is a cooling regulation strategy or a heating regulation strategy, and the step of regulating the temperature of interest area according to the fan temperature control strategy includes: The temperature control actuator for the temperature-concerned area is determined based on the fan temperature control strategy, wherein the temperature control actuator is either the cooling actuator corresponding to the cooling regulation strategy or the heating actuator corresponding to the heating regulation strategy. The current operating parameters of the temperature control actuator are determined based on the temperature difference between the component area temperature and the adaptive temperature control threshold. The temperature control actuator is controlled to adjust the temperature of the temperature-concerned area according to the current operating parameters, so as to obtain the adjusted component area temperature. Determine the allowable fluctuation range of the adaptive temperature control threshold. If the adjusted component area temperature is not within the allowable fluctuation range, return to the step of determining the current operating parameters of the temperature control actuator based on the temperature difference between the component area temperature and the adaptive temperature control threshold, and the subsequent steps, until the adjusted component area temperature is within the allowable fluctuation range.

[0013] To achieve the above objectives, this application provides a wind power generation control device, the wind power generation control device comprising: The acquisition module is used to acquire multi-source data of the wind turbine in the current environment. The multi-source data includes the actual ambient temperature, the internal temperature of the nacelle, and thermal imaging data of the turbine surface. The threshold determination module is used to determine the temperature interest area of ​​the wind turbine based on the internal temperature of the nacelle and the thermal imaging data of the turbine surface, and to determine the adaptive temperature control threshold of the temperature interest area based on the actual ambient temperature. The temperature control module is used to determine the wind turbine temperature control strategy of the wind turbine generator based on the component area temperature of the temperature concern area and the adaptive temperature control threshold, and to adjust the temperature of the temperature concern area according to the wind turbine temperature control strategy.

[0014] To achieve the above objectives, this application provides a wind power generation control device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, it implements the steps of the wind power generation control method described above.

[0015] To achieve the above objectives, this application provides a computer storage medium storing a computer program, which, when executed by a processor, implements the steps of the wind power generation control method described above.

[0016] This application provides a wind power generation control method. First, it acquires multi-source data of the wind turbine under the current environment, including real ambient temperature, nacelle internal temperature, and thermal imaging data of the turbine surface. This provides a data foundation of external environmental parameters and nacelle internal thermal state parameters for subsequent temperature control decisions. Simultaneously, based on the nacelle internal temperature and turbine surface thermal imaging data, it determines the temperature-concerned area of ​​the wind turbine, precisely positioning the temperature control target from the overall nacelle temperature to the temperature-concerned area where temperature anomalies exist, avoiding missed detections of local hotspots due to single-point sensors failing to reflect the temperature field distribution. Then, based on the real ambient temperature, it determines an adaptive temperature control threshold for the temperature-concerned area, enabling dynamic adjustment of the threshold according to changes in the external environment. Finally, based on the component area temperature of the temperature-concerned area and the adaptive temperature control threshold, it determines the wind turbine temperature control strategy and adjusts the temperature-concerned area accordingly, achieving targeted temperature control of the temperature-concerned area and avoiding indiscriminate control of the entire turbine based on the overall nacelle temperature. Therefore, this application overcomes the information limitations of single-point temperature monitoring by using multi-source data sensing, achieves precise spatial positioning of temperature control targets by identifying temperature-concerned areas, realizes dynamic adjustment of temperature control parameters according to the external environment by using adaptive temperature control thresholds, and avoids insufficient cooling at high temperatures and energy waste at low temperatures by generating and executing regionalized temperature control strategies, thereby significantly improving the temperature control adaptive capability of wind turbines in complex and variable environments. Attached Figure Description

[0017] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0018] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a flowchart illustrating the first embodiment of the wind power generation control method of this application; Figure 2 This is another flowchart illustrating the wind power generation control method of this application; Figure 3 This is another flowchart illustrating the wind power generation control method of this application; Figure 4 This is a schematic diagram of the structure of the wind power generation control device involved in the embodiments of this application; Figure 5 This is a schematic diagram of the structure of the wind power generation control equipment involved in the embodiments of this application.

[0020] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0021] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0022] It should be noted that if the embodiments of this application involve directional indicators (such as up, down, left, right, front, back, etc.), the directional indicators are only used to explain the relative positional relationship and movement of each component in a certain specific posture (as shown in the figure). If the specific posture changes, the directional indicators will also change accordingly.

[0023] Furthermore, if the embodiments of this application involve descriptions such as "first" or "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, features defined with "first" or "second" may explicitly or implicitly include at least one of those features. Additionally, the technical solutions of various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. If the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed in this application.

[0024] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application.

[0025] With the continuous development of wind power technology, the application scenarios of wind power generation are becoming increasingly complex. Extreme environments have a significant impact on the operation of wind turbines, and users have put forward higher requirements for the environmental adaptability of wind turbines.

[0026] In existing technologies, wind turbines typically employ a fixed-threshold temperature control strategy, relying solely on a single-point temperature sensor inside the nacelle to monitor the nacelle's internal temperature during operation. Cooling or heating devices are triggered based on this nacelle temperature and preset fixed upper and lower temperature limits. Since these fixed temperature limits are preset according to normal operating conditions, and the wind turbine lacks the ability to sense external environmental parameters, when the actual external ambient temperature rises and worsens the nacelle's heat dissipation conditions, the cooling trigger is delayed, failing to increase cooling power in advance, resulting in insufficient cooling at high temperatures. Conversely, when the actual external ambient temperature decreases and natural heat dissipation from the nacelle intensifies, heating is still triggered according to the original settings, and waste heat from the unit cannot be recovered, leading to energy waste at low temperatures. This results in poor temperature control adaptability of the wind turbine under extreme environments.

[0027] Therefore, improving the temperature control adaptability of wind turbines in complex and variable environments is a technical problem that urgently needs to be solved in this field.

[0028] The solution of this application embodiment is as follows: First, acquire multi-source data of the wind turbine under the current environment. The multi-source data includes the actual ambient temperature, the internal temperature of the nacelle, and thermal imaging data of the turbine surface, providing a data basis for subsequent temperature control decisions based on external environmental parameters and internal thermal state parameters of the nacelle. Simultaneously, determine the temperature concern area of ​​the wind turbine based on the internal temperature of the nacelle and the thermal imaging data of the turbine surface, accurately positioning the temperature control target from the overall temperature of the nacelle to the temperature concern area where temperature anomalies exist, avoiding the missed detection of local hot spots caused by the inability of single-point sensors to reflect the temperature field distribution. Then, determine the adaptive temperature control threshold of the temperature concern area based on the actual ambient temperature, so that the temperature control threshold can be dynamically adjusted with changes in the external environment, replacing the fixed upper and lower temperature limits preset according to conventional operating conditions. Finally, determine the wind turbine temperature control strategy based on the component area temperature of the temperature concern area and the adaptive temperature control threshold, and adjust the temperature of the temperature concern area according to the wind turbine temperature control strategy, realizing targeted temperature control of the temperature concern area, avoiding indiscriminate control of the whole machine based on the overall temperature of the nacelle. Therefore, this application overcomes the information limitations of single-point temperature monitoring by sensing multi-source data, achieves precise spatial positioning of temperature control targets by identifying temperature-concerned areas, realizes dynamic adjustment of temperature control parameters according to the external environment by adaptive temperature control thresholds, and avoids insufficient cooling at high temperatures and energy waste at low temperatures by generating and executing regionalized temperature control strategies, ultimately improving the temperature control adaptive capability of wind turbines in complex and variable environments.

[0029] It should be noted that the executing entity in this embodiment can be a computing service device with data processing, network communication, and program execution functions, such as a tablet computer, personal computer, or mobile phone, or a device capable of performing the above functions, such as a wind power generation control device. The following description uses a wind power generation control device as an example to illustrate this embodiment and the subsequent embodiments.

[0030] Based on this, the embodiments of this application provide a wind power generation control method, referring to... Figure 1 , Figure 1 This is a flowchart illustrating the first embodiment of the wind power generation control method of this application. The wind power generation control method includes: Step S10: Acquire multi-source data of the wind turbine under the current environment. The multi-source data includes the actual ambient temperature, the internal temperature of the nacelle, and thermal imaging data of the turbine surface.

[0031] In this embodiment, a miniature weather station deployed outside the nacelle of the wind turbine collects real-time ambient temperature data. Temperature sensors placed at key components of the turbine, such as the generator set, converter, and gearbox, collect temperature data for each key component. The nacelle's internal temperature is calculated by arithmetic averaging of the temperature data from each key component. Infrared thermal imagers scan the surfaces of each key component to collect corresponding surface thermal imaging data. This provides multi-source data of the wind turbine under the current environment, offering a data foundation for subsequent identification of temperature-related areas and determination of adaptive thresholds. This addresses the problem of limited information sources caused by relying solely on single-point temperature sensors in existing technologies, thereby improving the accuracy of temperature control decisions.

[0032] It should be noted that the actual ambient temperature refers to the external ambient temperature of the wind turbine nacelle, which is measured in real time by a miniature weather station on the top of the nacelle and reflects the external thermal environment of the wind turbine. The internal nacelle temperature refers to the average temperature calculated by averaging temperature data collected by temperature sensors located at key components of the turbine, such as the generator set, converter, and gearbox, and reflects the overall thermal state of these components. The surface thermal imaging data refers to two-dimensional temperature distribution images obtained by scanning the surfaces of key components with an infrared thermal imager, reflecting the spatial temperature distribution characteristics of the turbine surface.

[0033] Step S20: Determine the temperature concern area of ​​the wind turbine generator based on the internal temperature of the nacelle and the thermal imaging data of the generator surface, and determine the adaptive temperature control threshold of the temperature concern area based on the actual ambient temperature.

[0034] In this embodiment, the temperature-sensitive area of ​​the wind turbine can be accurately located based on the internal temperature of the nacelle and thermal imaging data of the turbine surface. Subsequently, the temperature control reference threshold of the temperature-sensitive area is adaptively adjusted according to the actual ambient temperature to obtain the adaptive temperature control threshold of the temperature-sensitive area, thereby realizing the adaptive adjustment of the temperature control reference threshold and significantly improving the temperature control adaptive capability of the wind turbine in complex and variable environments.

[0035] It should be noted that the temperature concern area refers to the area inside the nacelle of the wind turbine where there are components with localized overheating or abnormal temperature gradients. Each component location corresponds to a critical component of the unit. The ambient temperature refers to the standard ambient temperature specified in the wind turbine's design reference.

[0036] Step S30: Determine the wind turbine temperature control strategy for the wind turbine generator based on the component area temperature of the temperature concern area and the adaptive temperature control threshold, and adjust the temperature control of the temperature concern area according to the wind turbine temperature control strategy.

[0037] In this embodiment, the component temperature in the temperature-concerned area is compared with an adaptive temperature control threshold. If the component temperature is higher than the adaptive temperature control threshold, the wind turbine temperature control strategy is determined to be a cooling adjustment strategy; if the component temperature is lower than the adaptive temperature control threshold, the wind turbine temperature control strategy is determined to be a heating adjustment strategy. Based on the determined wind turbine temperature control strategy, the corresponding temperature control actuator is controlled to adjust the temperature in the temperature-concerned area. That is, this application generates a targeted temperature control strategy for the temperature-concerned area by accurately matching the actual temperature of the area with the area's adaptive threshold, replacing the indiscriminate whole-machine control based on the overall nacelle temperature in the prior art. This significantly improves the accuracy and reliability of wind turbine temperature control, avoiding insufficient cooling at high temperatures and energy waste at low temperatures.

[0038] It should be noted that the fan temperature control strategy refers to the temperature control and adjustment strategy determined for the temperature-concerned area, including cooling and heating control strategies. The cooling control strategy refers to a regulation scheme that adjusts the heat dissipation power or releases stored cold energy in the temperature-concerned area through cooling actuators. The heating control strategy refers to a regulation scheme that guides heating startup or waste heat recovery in the temperature-concerned area through heating actuators.

[0039] Furthermore, based on the first embodiment of this application described above, a second embodiment of the wind power generation control method of this application is proposed, referring to... Figure 2 The above step S20: determining the temperature interest area of ​​the wind turbine generator based on the internal temperature of the nacelle and the thermal imaging data of the generator surface may also include the following implementation steps S201 to S204.

[0040] Step S201: Determine the unit structure model of the wind turbine generator, run the unit structure model under multiple preset temperature conditions, and obtain temperature field sample data corresponding to each temperature condition.

[0041] In this embodiment, the CAD model of the wind turbine nacelle is imported into simulation software. The simulation software is used to perform geometric modeling and mesh generation of key components of the wind turbine, such as the generator set, converter, and gearbox, to obtain the turbine structure model. Subsequently, the turbine structure model is run under various preset temperature conditions to accurately obtain temperature field sample data corresponding to each temperature condition, providing rich training data for the subsequent neural network training.

[0042] It should be noted that the unit structure model refers to a geometric simulation model built based on the CAD model of the wind turbine nacelle, including the spatial location and geometric shape information of key components such as the generator set, converter, and gearbox. Temperature conditions refer to the combinations of ambient temperature and operating states that the unit may encounter during operation; different temperature conditions include combinations of different ambient temperatures, different power generation capacities, and different cooling wind speeds. Temperature field sample data refers to the three-dimensional spatial temperature field data of the unit structure model obtained through temperature field simulation calculations under a single temperature condition, including overall temperature distribution data, discrete measurement point temperature data, and surface thermal imaging temperature data.

[0043] Step S202: Train the preset neural network model based on all temperature field sample data to obtain the temperature simulation model of the wind turbine.

[0044] In this embodiment, discrete measurement point temperature data and surface thermal imaging temperature data in the temperature field sample data are used as model input features, and the full-field temperature distribution data in the same temperature field sample data are used as model output labels. Supervised training is performed on the preset neural network model. By minimizing the reconstruction error and optimizing the network parameters, the trained neural network model (i.e., the temperature simulation model) can be accurately obtained.

[0045] Step S203: Input the internal temperature of the nacelle and the thermal imaging data of the generator surface into the temperature simulation model to obtain the temperature field distribution data of the wind turbine.

[0046] In this embodiment, during the actual operation of the wind turbine, the internal temperature of the nacelle and the thermal imaging data of the turbine surface collected in real time by the infrared thermal imager are input into the trained temperature simulation model. The temperature simulation model outputs the full-field temperature distribution inside the nacelle of the wind turbine through the forward inference of the neural network, which serves as the temperature field distribution data.

[0047] It should be noted that the temperature field distribution data refers to the data output by the temperature simulation model that reflects the three-dimensional spatial temperature distribution inside the cabin, including at least the component area temperature of the location of all key components of the unit.

[0048] Step S204: Determine the temperature focus area of ​​the wind turbine based on the temperature field distribution data.

[0049] In this embodiment, the component area temperature of all key components of the unit is extracted from the temperature field distribution data, and it is detected whether the component area temperature of each component area is within its corresponding preset temperature threshold range. And / or, the temperature gradient between each component area temperature and the adjacent component area temperature is calculated, and it is determined whether the temperature gradient exceeds a preset gradient threshold. Subsequently, the component area where the component area temperature is not within the preset temperature threshold range, and / or the component area where the temperature gradient exceeds the preset gradient threshold, is identified as temperature interest area, which significantly improves the accuracy of temperature interest area identification.

[0050] Furthermore, in some other feasible embodiments, step S204 above: determining the temperature-relevant area of ​​the wind turbine generator based on temperature field distribution data, includes: Step S2041: Determine the component location areas corresponding to the key components of each unit in the unit structure model.

[0051] In this embodiment, the generator set area, converter area, gearbox area, etc. are divided into component location areas in the unit structure model according to the geometric boundaries and spatial coordinates of the key components of the unit. This provides an accurate spatial positioning reference for extracting the component location temperature of each component area from the temperature field distribution data.

[0052] It should be noted that key components of the wind turbine refer to the core modules in the wind turbine that require temperature control, including the generator set, converter, and gearbox. The component location area refers to a spatial region defined in the turbine's structural model based on the actual installation location and geometry of the key components. This area is used to extract the component's temperature from the temperature field distribution data.

[0053] Step S2042: Extract the component area temperature of each component location region from the temperature field distribution data, and determine the temperature gradient between the target area temperature and the adjacent component area temperatures. The target area temperature is any one of the component area temperatures.

[0054] In this embodiment, the component area temperature of each component location region is extracted from the temperature field distribution data. Any component area temperature is taken as the target area temperature, and the temperature gradient between the target area temperature and the component area temperatures of adjacent component location regions is calculated, thereby significantly improving the comprehensiveness and accuracy of temperature anomaly detection.

[0055] It should be noted that the formula for calculating the temperature gradient is:

[0056] in, Represents the temperature gradient; Indicates the temperature of the target area; Indicates the temperature of adjacent areas; This indicates the spatial distance between the component location area corresponding to the target temperature area and the component location area corresponding to the adjacent component area.

[0057] Step S2043: Designate the component location areas where the component area temperature is not within the preset temperature threshold range, and / or the component location areas where the temperature gradient exceeds the preset gradient threshold as the temperature concern areas of the wind turbine.

[0058] In this embodiment, component locations where the component temperature is not within a preset temperature threshold range, and / or component locations where the temperature gradient exceeds a preset gradient threshold, are designated as temperature focus areas for the wind turbine. This allows for the accurate capture of two types of thermal anomalies in the wind turbine: local overheating and uneven temperature distribution, thereby improving the reliability of temperature control target identification.

[0059] It should be noted that there are multiple preset gradient thresholds. Each component location area is set with a preset gradient threshold between it and the adjacent component location areas. The preset gradient threshold refers to the maximum allowable temperature difference gradient set according to the thermal stress tolerance and insulation life requirements between the adjacent component location areas.

[0060] Furthermore, in some feasible embodiments, reference is made to Figure 3 The above step S20, determining the adaptive temperature control threshold for the temperature-concerned area based on the actual ambient temperature, also includes: Step A10: Determine the temperature scenario type of the current environment based on the ambient temperature of the wind turbine and the actual ambient temperature, and obtain the environmental condition factor corresponding to the temperature scenario type.

[0061] In this embodiment, the ambient temperature is compared with the actual ambient temperature to calculate the temperature difference. Based on the comparison between the ambient temperature difference and the preset ambient temperature difference range, the temperature scenario type of the current environment is determined to be either a high-temperature environment or a low-temperature environment. The environmental condition factors corresponding to the temperature scenario type are retrieved from the preset environmental condition factor database to provide an environmental correction basis for the subsequent dynamic correction of the adaptive temperature control threshold.

[0062] It should be noted that ambient temperature refers to the standard ambient temperature in the design reference of wind turbines. Temperature scenario type refers to the environmental category classified according to the degree to which the ambient temperature deviates from the ambient temperature, including high-temperature environment type and low-temperature environment type. Environmental condition factor is a quantitative coefficient characterizing the degree of influence of the external environment on the unit's heat dissipation efficiency. Under the high-temperature environment type, it reflects the degree of deterioration of heat dissipation conditions, while under the low-temperature environment type, it reflects the degree of natural heat dissipation gain.

[0063] For example, the ambient temperature is compared with the actual ambient temperature to calculate the temperature difference. This difference is then compared with a preset ambient temperature difference range. If the difference exceeds the upper limit of the range, the temperature scenario is determined to be a high-temperature environment, and the corresponding environmental condition factor is retrieved from a pre-set database. If the difference is below the lower limit, the temperature scenario is determined to be a low-temperature environment, and the corresponding environmental condition factor is retrieved from a pre-set database.

[0064] Step A20: Locate the key components of the wind turbine generator that are in the temperature concern zone from all the key components of the generator, and identify the key components of the generator in the temperature concern zone as the target generator components.

[0065] In this embodiment, the key components of the wind turbine generator that are located in the temperature-concerned area are identified from all the key components of the generator, and the key components located in the temperature-concerned area are identified as target generator components, so as to clarify the specific component objects targeted by the adaptive threshold correction.

[0066] Step A30: Determine the component aging factor of the temperature concern area based on the cumulative running time and historical highest operating temperature of the target unit components, and determine the adaptive temperature control threshold of the temperature concern area based on the temperature control reference threshold, environmental condition factor and component aging factor of the temperature concern area.

[0067] In this embodiment, the component aging factor is calculated based on the cumulative operating time and historical highest operating temperature of the target unit components. A higher component aging factor indicates more severe insulation aging and a greater decline in temperature resistance. Subsequently, the temperature control benchmark threshold for the temperature-concerned area is adaptively adjusted based on the environmental condition factor and the component aging factor to calculate the adaptive temperature control threshold for that area. That is, by introducing two dynamic correction dimensions—component aging state and environmental deviation—the fixed temperature control benchmark threshold is transformed into an adaptive temperature control threshold that changes in real time with component state and environmental conditions.

[0068] It should be noted that cumulative runtime refers to the total number of hours the target unit components have been in operation since commissioning. Historical maximum operating temperature refers to the highest temperature ever recorded by the target unit components during operation. Component aging factor is a quantitative coefficient characterizing the degree of insulation aging of components, obtained through a comprehensive assessment based on cumulative runtime and historical maximum operating temperature; its value ranges from 0 to 1, with higher values ​​indicating more severe aging. Temperature control reference threshold refers to the reference temperature control value set based on the temperature resistance characteristics of the component materials and safe operating specifications of the target unit components.

[0069] The formula for calculating the component aging factor is:

[0070] in, Indicates the component aging factor. This indicates the cumulative operating time of the target unit's components. This indicates the design life hours of the target unit's components. This indicates the highest historical operating temperature of the target unit's components. This indicates the temperature resistance limit of the component material of the target unit. This represents the weighting coefficient for the runtime of the target unit's components. This represents the temperature history weighting coefficient of the target unit components.

[0071] The formula for calculating the adaptive temperature control threshold is:

[0072] in, Indicates the adaptive temperature control threshold. Indicates the temperature control reference threshold. Indicating environmental condition factors, This indicates the component aging factor.

[0073] Furthermore, in some other feasible embodiments, step A10 above, which involves determining the temperature scenario type of the current environment based on the ambient temperature of the wind turbine and the actual ambient temperature, includes: Step A101: Determine the ambient temperature difference between the normal ambient temperature of the wind turbine generator and the actual ambient temperature, and check whether the ambient temperature difference is within the preset normal ambient temperature difference range. Step A102: If the ambient temperature difference is higher than the upper limit of the normal temperature difference range, determine the current environment temperature scenario type as a high temperature environment type; Step A103: If the ambient temperature difference is lower than the lower limit of the normal temperature difference range, determine the current environment temperature scenario type as a low temperature environment type.

[0074] In this embodiment, the ambient temperature difference between the normal ambient temperature of the wind turbine generator and the actual ambient temperature is determined, and it is detected whether the ambient temperature difference is within a preset normal ambient temperature difference range. If the ambient temperature difference is higher than the upper limit of the normal ambient temperature difference range, the temperature scenario type of the current environment is determined to be a high temperature environment type. If the ambient temperature difference is lower than the lower limit of the normal ambient temperature difference range, the temperature scenario type of the current environment is determined to be a low temperature environment type.

[0075] It should be noted that the preset room temperature difference range can be understood as the allowable temperature difference range of the room temperature environment.

[0076] Furthermore, in some feasible embodiments, step S30 above, which involves determining the wind turbine temperature control strategy based on the component area temperature of the temperature-concerned area and the adaptive temperature control threshold, includes: Step S301: Determine whether the temperature of the component area in the temperature interest area is higher than the adaptive temperature control threshold.

[0077] In this embodiment, the component temperature in the temperature-concerned area is compared with the adaptive temperature control threshold to determine whether the component temperature in the temperature-concerned area is higher than the adaptive temperature control threshold. This provides a clear basis for selecting a cooling or heating adjustment strategy, enabling automated decision-making for temperature control strategies and improving temperature control response efficiency.

[0078] Step S302: If the temperature of the component area is higher than the adaptive temperature control threshold, determine that the wind turbine temperature control strategy is the cooling regulation strategy.

[0079] In this embodiment, if the temperature of the component area in the temperature concern region is higher than the adaptive temperature control threshold, it indicates that there is an overheating risk in the temperature concern region and heat dissipation and cooling are required. Therefore, the fan temperature control strategy is determined to be a cooling regulation strategy.

[0080] It should be noted that the cooling regulation strategy refers to a control scheme that uses forced heat dissipation, liquid cooling circulation, or cold storage release to reduce the temperature of components in the temperature-sensitive area by activating or increasing the operating power of the cooling actuator.

[0081] Step S303: If the temperature of the component area is lower than the adaptive temperature control threshold, determine that the wind turbine temperature control strategy is a heating regulation strategy.

[0082] In this embodiment, if the temperature of the component area is lower than the adaptive temperature control threshold, it indicates that there is a risk of overcooling in the temperature-concerned area or that preheating is required. Therefore, the fan temperature control strategy is determined to be a heating regulation strategy.

[0083] It should be noted that the heating regulation strategy refers to the control scheme of implementing electric heating, waste heat recovery guidance, or hot air circulation in the temperature-sensitive area by activating or increasing the operating power of the heating actuator, in order to improve the temperature of the component area in the temperature-sensitive area.

[0084] Furthermore, in some other feasible embodiments, the fan temperature control strategy is a cooling regulation strategy or a heating regulation strategy. Step S30 above: Adjusting the temperature of the area of ​​interest according to the fan temperature control strategy includes: Step B10: Determine the temperature control actuator for the temperature-concerned area based on the fan temperature control strategy, wherein the temperature control actuator is either the cooling actuator corresponding to the cooling regulation strategy or the heating actuator corresponding to the heating regulation strategy.

[0085] In this embodiment, the component temperature in the temperature-concerned area is compared with an adaptive temperature control threshold. If the component temperature in the temperature-concerned area is higher than the adaptive temperature control threshold, the fan temperature control strategy is determined to be a cooling adjustment strategy; if the component temperature in the temperature-concerned area is lower than the adaptive temperature control threshold, the fan temperature control strategy is determined to be a heating adjustment strategy. Based on the determined fan temperature control strategy, the corresponding temperature control actuator is controlled to adjust the temperature in the temperature-concerned area. This replaces the indiscriminate whole-machine control based on the overall nacelle temperature in the prior art, improving the accuracy and reliability of temperature control and avoiding insufficient cooling at high temperatures and energy waste at low temperatures.

[0086] Step B20: Determine the current operating parameters of the temperature control actuator based on the temperature difference between the component area temperature and the adaptive temperature control threshold.

[0087] In this embodiment, the temperature difference between the component area temperature and the adaptive temperature control threshold is calculated, and the current operating parameters of the temperature control actuator are determined based on the magnitude of the temperature difference. The larger the absolute value of the temperature difference, the higher the current operating parameters; the smaller the absolute value of the temperature difference, the lower the current operating parameters. That is, through the quantitative mapping between the temperature difference and the current operating parameters, the operating intensity of the temperature control actuator can be adjusted on demand, avoiding energy waste or insufficient adjustment caused by fixed power operation, and improving the accuracy and energy efficiency of temperature control.

[0088] It should be noted that the current operating parameters refer to the operating power of the temperature control actuator at the current moment, used to quantify the intensity of the actuator's effect on the temperature-sensitive area. The formula for calculating the current operating parameters is:

[0089] in, Indicates the current running parameters. Indicates the rated operating parameters. Indicates basic operating parameters, This represents the proportional adjustment coefficient. Indicates the temperature of the component area. Indicates the adaptive temperature control threshold. This represents the absolute value of the temperature difference.

[0090] Step B30: Control the temperature control actuator to adjust the temperature of the area of ​​interest according to the current operating parameters, and obtain the adjusted component area temperature.

[0091] In this embodiment, a control command for the current operating parameters is sent to the temperature control actuator. After receiving the control command, the temperature control actuator performs physical temperature control operations on the temperature-sensitive area using the current operating parameters. After running for a preset duration, the real-time temperature of the temperature-sensitive area is collected by temperature sensors placed in the temperature-sensitive area. The collected real-time temperature is used as the adjusted component area temperature to provide a data basis for subsequent judgment on whether the steady-state target has been reached, thereby improving the reliability of the temperature control closed-loop control.

[0092] It should be noted that the preset running time refers to the minimum time interval at which the temperature control actuator continuously operates with the current operating parameters, ensuring that the heat exchange process of the temperature control actuator is fully carried out and that a measurable temperature change is achieved. The adjusted component area temperature refers to the actual temperature response value of the temperature-sensitive area under physical temperature control after the temperature control actuator has operated with the current operating parameters for the preset running time.

[0093] Step B40: Determine the allowable fluctuation range of the adaptive temperature control threshold. If the adjusted component area temperature is not within the allowable fluctuation range, return to the step of determining the current operating parameters of the temperature control actuator based on the temperature difference between the component area temperature and the adaptive temperature control threshold, and then proceed with the subsequent steps until the adjusted component area temperature is within the allowable fluctuation range.

[0094] In this embodiment, the allowable fluctuation range of the adaptive temperature control threshold is determined. If the adjusted component area temperature is not within the allowable fluctuation range, the step of determining the current operating parameters of the temperature control actuator based on the temperature difference between the component area temperature and the adaptive temperature control threshold is executed, along with subsequent steps, until the adjusted component area temperature is within the allowable fluctuation range. At this point, the temperature control actuator is stopped to complete the temperature control adjustment of the temperature-sensitive area by the wind turbine temperature control strategy, thereby significantly improving the temperature control adaptive capability of the wind turbine in complex and variable environments.

[0095] In addition, refer to Figure 4 This application also provides a wind power generation control device, the wind power generation control device comprising: The acquisition module H01 is used to acquire multi-source data of the wind turbine in the current environment. The multi-source data includes the actual ambient temperature, the internal temperature of the nacelle, and thermal imaging data of the turbine surface. The threshold determination module H02 is used to determine the temperature interest area of ​​the wind turbine based on the internal temperature of the nacelle and the thermal imaging data of the turbine surface, and to determine the adaptive temperature control threshold of the temperature interest area based on the actual ambient temperature. The temperature control module H03 is used to determine the wind turbine temperature control strategy of the wind turbine generator based on the component area temperature of the temperature concern area and the adaptive temperature control threshold, and to adjust the temperature of the temperature concern area according to the wind turbine temperature control strategy.

[0096] In addition, this application also provides a wind power generation control device. Please refer to... Figure 5 , Figure 5 This is a schematic diagram of the wind power generation control equipment involved in the embodiments of this application. Specifically, the wind power generation control equipment in the embodiments of this application can be a device for locally operating wind power generation control methods.

[0097] The wind power generation control device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, it implements the steps of the wind power generation control method described above.

[0098] like Figure 5 As shown, the wind power generation control device in this embodiment may include: a processor 1001, such as a CPU, a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to enable communication between these components. The user interface 1003 may include a display screen and an input unit, such as a keyboard. Optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface).

[0099] The memory 1005 is disposed on the main body of the wind power generation control equipment. The memory 1005 stores a program that, when executed by the processor 1001, performs corresponding operations. The memory 1005 also stores parameters used by the wind power generation control equipment. The memory 1005 can be a high-speed RAM or a stable, non-volatile memory, such as a disk drive. Optionally, the memory 1005 can also be a storage device independent of the aforementioned processor 1001.

[0100] Those skilled in the art will understand that Figure 5 The wind power generation control equipment structure shown does not constitute a limitation on the wind power generation control equipment, and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0101] like Figure 5 As shown, the memory 1005, which serves as a storage medium, may include an operating system, a network communication module, a user interface module, and a wind power generation control program.

[0102] exist Figure 5 In the wind power generation control device shown, the processor 1001 can be used to call the wind power generation control program stored in the memory 1005 and execute the steps of the wind power generation control program method described above.

[0103] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0104] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0105] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause a wind power generation control device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0106] The above are merely preferred embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

Claims

1. A wind power generation control method, characterized in that, The wind power generation control method includes: Acquire multi-source data of the wind turbine in the current environment, including real ambient temperature, nacelle internal temperature and thermal imaging data of the turbine surface; The temperature interest area of ​​the wind turbine is determined based on the internal temperature of the nacelle and the thermal imaging data of the turbine surface, and the adaptive temperature control threshold of the temperature interest area is determined based on the actual ambient temperature. The wind turbine temperature control strategy is determined based on the component area temperature of the temperature concern area and the adaptive temperature control threshold, and the temperature of the temperature concern area is adjusted according to the wind turbine temperature control strategy.

2. The wind power generation control method as described in claim 1, characterized in that, The step of determining the temperature-required area of ​​the wind turbine based on the internal temperature of the nacelle and the thermal imaging data of the turbine surface includes: The unit structure model of the wind turbine is determined, and the unit structure model is run under multiple preset temperature conditions to obtain temperature field sample data corresponding to each temperature condition. The preset neural network model is trained based on all the temperature field sample data to obtain the temperature simulation model of the wind turbine. The internal temperature of the nacelle and the thermal imaging data of the generator surface are input into the temperature simulation model to obtain the temperature field distribution data of the wind turbine. The temperature focus area of ​​the wind turbine is determined based on the temperature field distribution data.

3. The wind power generation control method as described in claim 2, characterized in that, The step of determining the temperature interest region of the wind turbine based on the temperature field distribution data includes: Determine the component location regions corresponding to the key components of each unit in the unit structure model; Extract the component area temperature of each component location region from the temperature field distribution data, and determine the temperature gradient between the target area temperature and the adjacent component area temperatures. The target area temperature is any one of all the component area temperatures. The component location areas where the component area temperature is not within the preset temperature threshold range, and / or the component location areas where the temperature gradient exceeds the preset gradient threshold, are designated as the temperature concern areas of the wind turbine.

4. The wind power generation control method as described in claim 1, characterized in that, The step of determining the adaptive temperature control threshold of the temperature-concern area based on the actual ambient temperature includes: The temperature scenario type of the current environment is determined based on the ambient temperature of the wind turbine and the actual ambient temperature, and the environmental condition factor corresponding to the temperature scenario type is obtained. From all the key components of the wind turbine generator, locate the key components of the unit located in the temperature concern area, and determine the key components of the unit located in the temperature concern area as the target unit components; The component aging factor of the temperature concern area is determined based on the cumulative operating time and historical highest operating temperature of the target unit components, and the adaptive temperature control threshold of the temperature concern area is determined based on the temperature control reference threshold of the temperature concern area, the environmental condition factor, and the component aging factor.

5. The wind power generation control method as described in claim 4, characterized in that, The step of determining the temperature scenario type of the current environment based on the ambient temperature of the wind turbine and the actual ambient temperature includes: Determine the ambient temperature difference between the normal ambient temperature of the wind turbine generator and the actual ambient temperature, and detect whether the ambient temperature difference is within a preset normal ambient temperature difference range. If the ambient temperature difference is higher than the upper limit of the normal temperature difference range, the temperature scenario type of the current environment is determined to be a high temperature environment type. If the ambient temperature difference is lower than the lower limit of the normal temperature difference range, the temperature scenario type of the current environment is determined to be a low temperature environment type.

6. The wind power generation control method as described in claim 1, characterized in that, The step of determining the wind turbine temperature control strategy based on the component area temperature of the temperature concern area and the adaptive temperature control threshold includes: Determine whether the temperature of the component area in the temperature interest region is higher than the adaptive temperature control threshold; If the temperature of the component area is higher than the adaptive temperature control threshold, the wind turbine temperature control strategy of the wind turbine is determined to be a cooling regulation strategy. If the temperature of the component area is lower than the adaptive temperature control threshold, the wind turbine temperature control strategy is determined to be a heating regulation strategy.

7. The wind power generation control method as described in claim 1, characterized in that, The fan temperature control strategy is either a cooling regulation strategy or a heating regulation strategy. The step of adjusting the temperature of the temperature-concerned area according to the fan temperature control strategy includes: The temperature control actuator for the temperature-concerned area is determined based on the fan temperature control strategy, wherein the temperature control actuator is either the cooling actuator corresponding to the cooling regulation strategy or the heating actuator corresponding to the heating regulation strategy. The current operating parameters of the temperature control actuator are determined based on the temperature difference between the component area temperature and the adaptive temperature control threshold. The temperature control actuator is controlled to adjust the temperature of the temperature-concerned area according to the current operating parameters, so as to obtain the adjusted component area temperature. Determine the allowable fluctuation range of the adaptive temperature control threshold. If the adjusted component area temperature is not within the allowable fluctuation range, return to the step of determining the current operating parameters of the temperature control actuator based on the temperature difference between the component area temperature and the adaptive temperature control threshold, and the subsequent steps, until the adjusted component area temperature is within the allowable fluctuation range.

8. A wind power generation control device, characterized in that, The wind power generation control device includes: The acquisition module is used to acquire multi-source data of the wind turbine in the current environment. The multi-source data includes the actual ambient temperature, the internal temperature of the nacelle, and thermal imaging data of the turbine surface. The threshold determination module is used to determine the temperature interest area of ​​the wind turbine based on the internal temperature of the nacelle and the thermal imaging data of the turbine surface, and to determine the adaptive temperature control threshold of the temperature interest area based on the actual ambient temperature. The temperature control module is used to determine the wind turbine temperature control strategy of the wind turbine generator based on the component area temperature of the temperature concern area and the adaptive temperature control threshold, and to adjust the temperature of the temperature concern area according to the wind turbine temperature control strategy.

9. A wind power generation control device, characterized in that, The wind power generation control device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, it implements the steps of the wind power generation control method as described in any one of claims 1 to 7.

10. A computer storage medium, characterized in that, The computer storage medium stores a computer program, which, when executed by a processor, implements the steps of the wind power generation control method as described in any one of claims 1 to 7.

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