Methods, devices and computer equipment for de-icing wind turbine blades

Abstract

This application relates to a method, apparatus, and computer equipment for de-icing wind turbine blades. The method includes: acquiring a temperature change curve of the wind turbine blades under a heat pulse; determining the icing type of the blades based on the temperature change curve; the icing type includes either frost-like ice or open ice; and performing de-icing treatment on the blades according to a de-icing scheme corresponding to the icing type; the de-icing scheme includes a first synergistic scheme corresponding to the frost-like ice type, or a second synergistic scheme corresponding to the open ice type. This method can avoid energy waste and secondary freezing of water accumulated from melting open ice.

Description

Technical Field

[0001] This application relates to the field of power technology, and in particular to a method, apparatus and computer equipment for de-icing wind turbine blades. Background Technology

[0002] Ice buildup on wind turbine blades reduces the unit's power generation efficiency and can trigger equipment shutdowns. It is a common problem that restricts the stable operation of the wind power industry, causing not only power generation losses but also threatening the structural safety of the blades and the stable operation of the power grid.

[0003] Currently, the mainstream de-icing methods for wind turbine blades include ultrasonic and electrothermal methods. Ultrasonic methods de-icing achieves de-icing by breaking the ice layer structure through stress waves, but the overall energy consumption is relatively high, and the effect on breaking thick ice and strongly adhesive ice layers is limited. Traditional electrothermal methods mostly adopt a continuous heating mode with full coverage at all times. When dealing with loose frost and ice, the energy consumption is seriously wasted. When dealing with dense open ice, the melting rate is slow and the de-icing efficiency is low. Moreover, in low temperature and high humidity environments, the water accumulated from the melting of open ice is very easy to refreeze.

[0004] Therefore, current de-icing technology for wind turbine blades suffers from energy waste and secondary freezing issues. Summary of the Invention

[0005] Therefore, it is necessary to provide a method, apparatus, computer equipment, computer-readable storage medium, and computer program product for de-icing wind turbine blades that can avoid energy waste and secondary freezing, in order to address the above-mentioned technical problems.

[0006] In a first aspect, this application provides a method for de-icing wind turbine blades, comprising:

[0007] Obtain the temperature change curve of the blades of a wind turbine generator under thermal pulse.

[0008] The icing type of the blade is determined based on the temperature change curve; the icing type includes frost ice or clear ice.

[0009] According to the de-icing scheme corresponding to the icing type, the blade is de-iced; the de-icing scheme includes a first synergistic scheme corresponding to the frost ice type, or a second synergistic scheme corresponding to the open ice type.

[0010] In one embodiment, the step of de-icing the blades according to the de-icing scheme corresponding to the icing type includes:

[0011] According to the first coordination scheme, the blades are controlled to perform aeroelastic flutter, and periodically on-off pulsed currents are applied to the blades; or,

[0012] According to the second collaborative scheme, the heating power of the blade is controlled, and the ultrasonic transducer attached to the blade is turned on; the heating power of the blade includes the leading edge heating power and the trailing edge heating power, and the leading edge heating power is higher than the trailing edge heating power, and the ultrasonic transducer is attached to the leading edge of the blade.

[0013] In one embodiment, determining the icing type of the blade based on the temperature change curve includes:

[0014] Determine the slope and thermal equilibrium time of the temperature change curve;

[0015] If the slope is greater than a preset slope and the thermal equilibrium time is less than a preset time, the icing type is determined to be the open ice type.

[0016] If the slope is less than or equal to the preset slope and the thermal equilibrium time is greater than or equal to the preset time, the icing type is determined to be the frost type.

[0017] In one embodiment, before de-icing the blades according to the de-icing scheme corresponding to the icing type, the method further includes:

[0018] The ice layer thickness of the blade is determined based on a pre-set icing growth model;

[0019] If the ice layer thickness is greater than a preset thickness, the ice type is determined to be the open ice type;

[0020] If the ice layer thickness is less than or equal to the preset thickness, the ice type is determined to be the frost ice type.

[0021] In one embodiment, before obtaining the temperature change curve of the wind turbine blades under thermal pulse, the method further includes:

[0022] If it is determined that there are supercooled water droplet adhesion conditions based on the ambient temperature and humidity of the blade, and the ambient temperature meets the preset temperature, the system switches to the preset working state and applies the heat pulse to the blade.

[0023] In one embodiment, after de-icing the blades according to the de-icing scheme corresponding to the icing type, the method further includes:

[0024] Obtain the output power and generator speed of the wind turbine generator set;

[0025] If the de-icing termination conditions are met based on the output power and the generator speed, the de-icing process is stopped.

[0026] Secondly, this application also provides a de-icing device for wind turbine blades, comprising:

[0027] The acquisition module is used to acquire the temperature change curve of the blades of the wind turbine generator under the action of thermal pulse;

[0028] The identification module is used to determine the icing type of the blade based on the temperature change curve; the icing type includes frost ice or clear ice.

[0029] The processing module is used to perform de-icing treatment on the blades according to the de-icing scheme corresponding to the icing type; the de-icing scheme includes a first synergistic scheme corresponding to the frost ice type, or a second synergistic scheme corresponding to the open ice type.

[0030] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0031] Obtain the temperature change curve of the blades of a wind turbine generator under thermal pulse.

[0032] The icing type of the blade is determined based on the temperature change curve; the icing type includes frost ice or clear ice.

[0033] According to the de-icing scheme corresponding to the icing type, the blade is de-iced; the de-icing scheme includes a first synergistic scheme corresponding to the frost ice type, or a second synergistic scheme corresponding to the open ice type.

[0034] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the following steps:

[0035] Obtain the temperature change curve of the blades of a wind turbine generator under thermal pulse.

[0036] The icing type of the blade is determined based on the temperature change curve; the icing type includes frost ice or clear ice.

[0037] According to the de-icing scheme corresponding to the icing type, the blade is de-iced; the de-icing scheme includes a first synergistic scheme corresponding to the frost ice type, or a second synergistic scheme corresponding to the open ice type.

[0038] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, performs the following steps:

[0039] Obtain the temperature change curve of the blades of a wind turbine generator under thermal pulse.

[0040] The icing type of the blade is determined based on the temperature change curve; the icing type includes frost ice or clear ice.

[0041] According to the de-icing scheme corresponding to the icing type, the blade is de-iced; the de-icing scheme includes a first synergistic scheme corresponding to the frost ice type, or a second synergistic scheme corresponding to the open ice type.

[0042] The aforementioned wind turbine blade de-icing method, device, computer equipment, computer-readable storage medium, and computer program product acquire the temperature change curve of the wind turbine blade under heat pulse action. Based on the temperature change curve, the icing type of the blade is determined, including frost ice or open ice. De-icing is then performed on the blade according to the de-icing scheme corresponding to the icing type. The de-icing scheme includes a first synergistic scheme for frost ice or a second synergistic scheme for open ice. This allows for accurate identification of the icing type and implementation of differentiated de-icing strategies for different icing types. For loose frost ice, a low-energy de-icing strategy is used; for dense open ice, a de-icing strategy that avoids secondary freezing is adopted, thereby avoiding energy waste and secondary freezing of water accumulated from melting open ice. Attached Figure Description

[0043] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0044] Figure 1 This is a flowchart illustrating a wind turbine blade de-icing method in one embodiment.

[0045] Figure 2 This is a schematic diagram of a wind turbine blade de-icing system in one embodiment.

[0046] Figure 3 This is a schematic diagram illustrating the conservation of mass and energy of the control volume on the surface of a component in one embodiment;

[0047] Figure 4 This is a schematic diagram of zoned de-icing in one embodiment;

[0048] Figure 5 This is a flowchart illustrating a wind turbine blade de-icing method in another embodiment;

[0049] Figure 6 This is a structural block diagram of a wind turbine blade de-icing device in one embodiment.

[0050] Figure 7 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0051] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0052] It should be noted that the terms "first," "second," etc., used in this application can be used to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish the first element from the second element. The terms "comprising" and "having," and any variations thereof, used in this application, are intended to cover non-exclusive inclusion. The term "multiple" used in this application refers to two or more. The term "and / or" used in this application refers to one of the embodiments, or any combination of multiple embodiments.

[0053] In one exemplary embodiment, such as Figure 1 As shown, a method for de-icing wind turbine blades is provided. This embodiment illustrates the application of this method to a terminal. It is understood that this method can also be applied to a server, or to a system including both a terminal and a server, and implemented through interaction between the terminal and the server. The terminal can be, but is not limited to, the central control unit in the wind turbine. In this embodiment, the method includes the following steps:

[0054] Step S102: Obtain the temperature change curve of the wind turbine blades under the action of thermal pulse.

[0055] A wind turbine generator set refers to a complete set of equipment that converts wind energy into mechanical energy and then electrical energy to generate wind power. It may consist of, but is not limited to, a wind turbine, nacelle, generator, tower, and control system (central control unit). Blades can be irregularly shaped structural components on the wind turbine, used to capture wind energy and convert airflow kinetic energy into the rotational mechanical energy of the turbine. A thermal pulse refers to the instantaneous thermal excitation signal formed by applying a fixed amount and duration of heating energy to a heater for a short, quantitative, and instantaneous time. A temperature change curve can be a characteristic curve representing the continuous evolution of the surface temperature of the area where the heater is located over time, plotted with time on the x-axis and temperature on the y-axis, using real-time temperature sensor data.

[0056] Optionally, heaters and temperature sensors can be installed on the wind turbine blades. The terminal can send a heating pulse command to the heater, which receives and responds to the heat pulse excitation, heating a localized area of ​​the blade. The temperature sensors can collect real-time temperature data of the blade surface in the area where the heater is installed and upload the collected temperature data to the terminal. The terminal generates a temperature change curve of the blade surface based on the real-time temperature data returned by the temperature sensors. In practical applications, miniature heating film elements can be used as heaters. These elements are placed in the leading edge region of the blade where icing is more severe, and distributed temperature sensors are deployed on the blade. The central control unit of the wind turbine can send a pulse with an amplitude of [missing value] to the miniature heating film element in the leading edge region of the blade. Duration is A short-time pulse heating command is received, and a distributed temperature sensor array is used to record the surface temperature change curve of the blade leading edge region over time, thus obtaining the temperature change curve. ,in For time.

[0057] Step S104: Determine the icing type of the leaves based on the temperature change curve; the icing type includes frost ice type or clear ice type.

[0058] Among them, icing types refer to various icing forms formed on the surface of wind turbine blades in low-temperature and humid environments due to the accumulation of supercooled water droplets and water vapor sublimation. Frosty ice type refers to a loose texture, fine grains, weak adhesion, and a white frosty appearance. Clear ice type refers to a dense texture, transparent or semi-transparent, hard ice layer, strong adhesion, and a smooth, raised solid icing surface.

[0059] Optionally, the terminal can identify the slope and thermal equilibrium time of the temperature change curve, and determine the icing type of the wind turbine blades based on the slope and thermal equilibrium time, including determining whether the icing type is frost icing or open icing. The slope refers to the change in blade surface temperature per unit time in the temperature change curve, characterizing the rate of temperature rise and fall of the blade surface. The thermal equilibrium time refers to the length of time it takes for the surface temperature of the heated area of ​​the blade to gradually stabilize after the application of a heat pulse, until a dynamic thermal equilibrium is reached with the surrounding environment. For example, the central control unit of a wind turbine generator can calculate the temperature change curve. slope and thermal equilibrium time ,like Greater than the preset threshold ,and Less than the preset threshold This indicates that heat transfer is extremely rapid, suggesting that the current ice layer is open ice with good thermal conductivity; if Less than or equal to the preset threshold ,and Greater than or equal to the preset threshold This indicates that heat transfer is obstructed, and the current ice layer is determined to be frost ice with poor thermal conductivity.

[0060] Step S106: De-icing the blades according to the de-icing scheme corresponding to the icing type; the de-icing scheme includes a first synergistic scheme corresponding to the frost ice type, or a second synergistic scheme corresponding to the open ice type.

[0061] The first synergistic solution can be a fracturing strategy combining aeroelastic flutter with thermal shock, targeting the weak adhesion and loose structure of frost and ice. The second synergistic solution can be a melting strategy combining regional heating with ultrasonic high-frequency micro-vibration, targeting the significant damage to the aerodynamic shape of open ice and the tendency for water film backflow and recrystallization when simply heated.

[0062] Optionally, the terminal can pre-set different de-icing schemes for different icing types, including but not limited to a first collaborative scheme and a second collaborative scheme. If the icing type is frost ice, the first collaborative scheme is used for de-icing; if the icing type is clear ice, the second collaborative scheme is used for de-icing.

[0063] In practical applications, the blades can be divided into multiple independent de-icing control zones along the spanwise and tangential directions, including but not limited to the leading-edge impact zone, the central suction zone, and the central pressure zone. Each zone is independently equipped with a heating power controller and a corresponding ultrasonic vibrator to generate vibration. The central control unit can retrieve de-icing strategies from a preset de-icing strategy library based on the ice type identification results. These strategies include:

[0064] Strategy A: Based on the characteristics of frost and ice having weak adhesion and loose structure, a "thermal shock + aerodynamic vibration" breaking strategy is adopted. This strategy is a low-energy consumption mode and includes the following steps:

[0065] Step 1, Vibration Induction: The central control unit does not activate high-power heating, but instead fine-tunes the pitch system to adjust the blade angle of attack. Small-amplitude high-frequency fluctuations (e.g., frequencies close to the first natural frequency of the blade) are introduced within a certain range to induce aeroelastic flutter in the blade.

[0066] Step 2, thermal shock coordination: Simultaneously, a periodic "on-off" pulse current (duty cycle of about 30%) is applied to the heating film at the front edge, generating shear force through this uneven thermal expansion and contraction effect;

[0067] Step 3, Synergistic effect: The shear force generated by aerodynamic flutter and the internal stress generated by thermal shock are superimposed in the loose and porous frost ice structure, causing the ice layer to fracture and fall off before it is completely melted.

[0068] Strategy B: Considering the significant damage that clear ice causes to aerodynamic shape and the tendency for water film backflow and recrystallization when simply heated, a "gradient heating + ultrasonic assistance" melting strategy is adopted for clear ice. This strategy is a high-efficiency mode and includes the following steps:

[0069] Step 1, Gradient heating: The central control unit sets the heating power of the leading edge area (main icing area). Significantly higher heating power than the trailing edge region This creates a temperature gradient along the chord. This move aims to quickly break the adhesion (shear strength) between the ice layer and the leading edge surface, while using the temperature difference to drive the melted water film to flow towards the trailing edge.

[0070] Step 2, Ultrasonic Assistance: Turn on the ultrasonic transducer attached to the leading edge surface to generate high-frequency micro-amplitude vibration. The ultrasonic cavitation effect can effectively break the bonding bonds inside the dense clear ice, accelerate the melting process, and destroy the surface tension of the water film, preventing water from refreezing at the trailing edge of the suction surface to form a secondary ice corner.

[0071] The aforementioned wind turbine blade de-icing method acquires the temperature change curve of the wind turbine blade under heat pulse action. Based on the temperature change curve, it determines the icing type of the blade, which includes frost ice or open ice. The method then performs de-icing treatment on the blade according to the corresponding de-icing scheme. The de-icing scheme includes a first synergistic scheme for frost ice or a second synergistic scheme for open ice. This method can accurately identify the icing type and implement differentiated de-icing strategies for different icing types. For loose frost ice, a low-energy de-icing strategy is used; for dense open ice, a de-icing strategy that avoids secondary freezing is adopted, thereby avoiding energy waste and secondary freezing of water accumulated from melting open ice.

[0072] In an exemplary embodiment, step S106 may specifically include: according to the first coordination scheme, controlling the blade to perform aeroelastic flutter and applying a periodically switching pulse current to the blade; or, according to the second coordination scheme, controlling the heating power of the blade and turning on the ultrasonic transducer attached to the blade; the heating power of the blade includes leading edge heating power and trailing edge heating power, and the leading edge heating power is higher than the trailing edge heating power, and the ultrasonic transducer is attached to the leading edge of the blade.

[0073] Aeroelastic flutter refers to the self-excited, periodic vibration of wind turbine blades caused by the coupling of aerodynamic forces, structural elastic forces, and inertial forces under the influence of airflow. Leading-edge heating power refers to the heating power of the leading-edge region of the blade. Trailing-edge heating power refers to the heating power of the trailing-edge region of the blade.

[0074] Optionally, if the icing type is frost-ice, the terminal can select the first cooperative scheme and adjust the blade angle of attack by fine-tuning the pitch system. Micro-amplitude high-frequency fluctuations are generated within a certain range to induce aeroelastic flutter in the blades. At the same time, periodically switching pulse currents can be applied to the heaters at the leading edge of the blades to form thermal shock. The shear force generated by aerodynamic flutter and the internal stress generated by thermal shock are superimposed in the loose and porous frost ice structure, which can cause the ice layer to fracture and fall off brittlely before it is completely melted.

[0075] If the icing type is open ice, the terminal can select the second cooperative scheme and set the heating power of the leading edge region of the blade (the main icing area). Significantly higher heating power than the trailing edge region This creates a temperature gradient along the chord. This allows for the rapid disruption of the adhesion between the ice layer and the leading edge surface, while the temperature difference drives the melted water film to flow towards the trailing edge. The terminal can also activate the ultrasonic transducer attached to the leading edge surface of the blade to generate high-frequency micro-amplitude vibrations. Through ultrasonic cavitation, the bonding bonds inside the dense clear ice are effectively broken, accelerating the melting process and disrupting the surface tension of the water film, preventing the water from refreezing at the trailing edge of the suction surface to form a secondary ice corner.

[0076] In this embodiment, by controlling the blades to perform aeroelastic flutter according to the first collaborative scheme and applying periodically on-off pulsed current to the blades, or by controlling the heating power of the blades and activating the ultrasonic transducers attached to the blades according to the second collaborative scheme, differentiated control can be achieved. By accurately identifying the ice shape, the energy waste caused by completely melting frost and ice is avoided. At the same time, for open ice, a gradient heating and ultrasonic-assisted ice-breaking strategy is adopted to shorten the de-icing time and effectively improve the de-icing efficiency.

[0077] In an exemplary embodiment, step S104 may specifically include: determining the slope and thermal equilibrium time of the temperature change curve; determining the icing type as open ice when the slope is greater than a preset slope and the thermal equilibrium time is less than a preset time; and determining the icing type as frost ice when the slope is less than or equal to a preset slope and the thermal equilibrium time is greater than or equal to a preset time.

[0078] Here, the preset slope refers to the pre-set threshold for the slope of the temperature change curve. The preset time refers to the pre-set threshold for the thermal equilibrium time of the temperature change curve.

[0079] Optionally, the terminal can calculate the temperature change curve. slope and thermal equilibrium time ,like greater than the preset slope ,and Less than the preset time This indicates that heat transfer is extremely rapid, determining that the current ice layer is open ice with good thermal conductivity, i.e., the icing type is open ice; if Less than or equal to the preset slope ,and Greater than or equal to the preset time This indicates that heat transfer is obstructed, and the current ice layer is determined to be frost ice with poor thermal conductivity, that is, the ice type is frost ice.

[0080] In this embodiment, by determining the slope and thermal equilibrium time of the temperature change curve, if the slope is greater than a preset slope and the thermal equilibrium time is less than a preset time, the icing type is determined to be open ice. If the slope is less than or equal to the preset slope and the thermal equilibrium time is greater than or equal to the preset time, the icing type is determined to be frost ice. The ice layer can be identified based on the physical properties of the thermal pulse response, switching from the passive and blind heating of traditional technology to active and accurate identification and on-demand de-icing, thereby improving the safety and stability of wind turbine operation.

[0081] In an exemplary embodiment, prior to step S106, the method may further include: determining the ice thickness of the leaf according to a pre-set icing growth model; determining the icing type as open ice if the ice thickness is greater than a preset thickness; and determining the icing type as frost ice if the ice thickness is less than or equal to the preset thickness.

[0082] The icing growth model is a mathematical and physical model that quantitatively describes the dynamic evolution of icing morphology, ice thickness, and icing extent on wind turbine blades over time, based on meteorological parameters, blade structural parameters, airflow characteristics, and supercooled water droplet impact characteristics. Ice thickness refers to the thickness of the ice covering the blade. Preset thickness refers to a pre-defined ice thickness threshold.

[0083] Optionally, the terminal can predict the ice thickness on the wind turbine blades based on a pre-set icing growth model. If the ice thickness is greater than the preset thickness, the blade is determined to be covered with open ice, i.e., the icing type is open ice. If the ice thickness is less than or equal to the preset thickness, the blade is determined to be covered with frost ice, i.e., the icing type is frost ice.

[0084] In this embodiment, the ice thickness of the blade is determined according to a pre-set icing growth model. If the ice thickness is greater than the preset thickness, the icing type is determined to be open ice. If the ice thickness is less than or equal to the preset thickness, the icing type is determined to be frost ice. The icing type can be determined by estimating the ice thickness. When devices such as heaters and temperature sensors on the blades malfunction, the icing type can be directly predicted and then de-iced according to the icing type. This avoids de-icing interruptions caused by the inability to generate temperature change curves and ensures reliable de-icing of wind turbine blades.

[0085] In an exemplary embodiment, prior to step S102, the process may further include: when it is determined that there are supercooled water droplet adhesion conditions based on the ambient temperature and humidity of the blade, and the ambient temperature meets the preset temperature, switching to a preset working state and applying a heat pulse to the blade.

[0086] Here, ambient temperature refers to the real-time atmospheric temperature of the external atmosphere surrounding the wind turbine blades. Ambient humidity is a quantitative parameter representing the water vapor content in the atmosphere surrounding the blades. Supercooled water droplet adhesion conditions can be defined as the comprehensive operating conditions required for supercooled water droplets to impact and stably adhere to the surface of the wind turbine blades. Preset temperature can be a pre-set ambient temperature range. Preset operating state refers to the operating state for de-icing the wind turbine blades.

[0087] Optionally, the terminal can determine whether supercooled water droplet adhesion conditions exist based on ambient temperature and humidity. For example, when the ambient temperature is... to Between these values, when the ambient humidity exceeds 85%, conditions for supercooled water droplet adhesion can be considered present; otherwise, conditions for supercooled water droplet adhesion can be considered absent. When conditions for supercooled water droplet adhesion exist, and the ambient temperature meets a preset temperature, for example, when the ambient temperature is between these values... to If there is a risk of icing, the terminal can determine that there is no risk of icing. At this time, the terminal can switch to the working state of de-icing the wind turbine blades and execute the above-mentioned wind turbine blade de-icing method. In this working state, the terminal can send a heating pulse command to the heaters installed on the blades.

[0088] In this embodiment, by determining the presence of supercooled water droplet adhesion conditions based on the ambient temperature and humidity of the blades, and when the ambient temperature meets the preset temperature, switching to the preset working state and applying a heat pulse to the blades, the de-icing process can be initiated only when the risk of icing is detected, thereby achieving intelligent and precise de-icing and reducing the energy consumption of the de-icing process.

[0089] In an exemplary embodiment, after step S106 above, the method may further include: obtaining the output power and generator speed of the wind turbine generator set; and stopping the de-icing process if the de-icing termination conditions are met based on the output power and generator speed.

[0090] Output power refers to the active power that a wind turbine generator outputs to the external power grid or load after wind energy capture, mechanical energy conversion, and power generation inversion. Generator speed refers to the number of revolutions the generator rotor makes per unit time in a wind turbine generator set.

[0091] Optionally, the terminal can monitor the output power and generator speed of the wind turbine generator in real time, and determine whether the de-icing termination conditions are met based on the output power and generator speed. If the conditions are met, the de-icing process is stopped; otherwise, the de-icing process continues. For example, during the execution of the de-icing strategy, the central control unit can monitor the output power of the wind turbine generator in real time. and generator speed The de-icing termination condition can be set to: real-time power Restored to theoretical power More than 95% of the power fluctuation standard deviation. The temperature is below the preset threshold, and the duration exceeds 60 seconds. In practical applications, once the termination condition is met, all heating and vibration modules will be immediately stopped, and the unit will resume normal operation.

[0092] In this embodiment, by acquiring the output power and generator speed of the wind turbine generator set, and determining that the de-icing termination conditions are met based on the output power and generator speed, the de-icing process is stopped. This allows for precise identification of when to terminate de-icing, achieving intelligent and accurate identification and on-demand de-icing, thereby reducing the energy consumption of the de-icing process.

[0093] To facilitate a deeper understanding of the embodiments of this application by those skilled in the art, a specific example will be used for illustration below.

[0094] Active de-icing technologies include electrothermal and ultrasonic methods. The ultrasonic method mainly utilizes the velocity difference between horizontal shear waves and Lamb waves at the interface between the ice and the blade surface to create shear stress greater than the ice adhesion force, weakening the bonding force between the ice and the blade and destroying the internal structure of the ice layer, thereby achieving the peeling and removal of the ice layer. The electrothermal de-icing method uses electric heating elements to heat the blade, causing the ice layer in contact with the blade surface to melt and create gaps. Then, centrifugal force is used to detach the ice layer from the blade.

[0095] The main drawback of electric heating for de-icing is its "all-time, all-coverage" heating mode. This results in excessive energy consumption for loose frost and ice, and for dense, open ice, simple heating leads to slow melting and low efficiency. Furthermore, the system's reliability is low, and the risk of lightning strikes must be avoided. Therefore, it is necessary to select suitable heating elements, optimize their arrangement on the blade surface, and employ intelligent control strategies to improve de-icing efficiency.

[0096] The main drawbacks of the ultrasonic method are its high energy consumption and limited efficiency in breaking thick ice or strongly adhesive ice layers. At the same time, the technology suffers from large energy transfer attenuation and high coupling requirements on complex composite materials, and the transducer arrangement and system integration are relatively complex. In addition, its performance is easily affected by low temperature and other environmental factors, and the reliability and maintenance difficulty of long-term operation are also challenges that cannot be ignored.

[0097] Compared to the currently prevalent "all-time, all-coverage" heating mode, this application constructs an adaptive de-icing architecture based on the perception of thermal response physical properties, which is "identified first, then attacked." Utilizing the thermodynamic difference between dense, high-conductivity open ice and loose, slow-conductivity frost ice, it uses a micro-pulse heat source to invert the ice layer type and thickness in real time online. Then, it implements differentiated strategies for different ice types: for loose frost ice, a low-energy "aerodynamic vibration + pulsed thermal shock" breaking mechanism is used to avoid the high energy consumption caused by complete melting; for dense open ice, a "leading-edge high-power gradient heating + ultrasonic assistance" mechanism is used to break the adhesion while using vibration to prevent secondary crystallization of meltwater. This achieves a leap from passive, blind heating to active, precise de-icing, significantly improving de-icing efficiency and aerodynamic recovery speed while effectively solving the problems of high energy consumption and secondary freezing of open ice by traditional methods.

[0098] Figure 2 A schematic diagram of a wind turbine blade de-icing system is provided. Figure 2 The wind turbine blade de-icing system provided in this application includes: a data monitoring and preprocessing module 202, an online ice type identification module 204, a zoned de-icing execution module 206, and a central control unit 208. Among them:

[0099] The data monitoring and preprocessing module 202 is used to collect the operating environment parameters and status parameters of the wind turbine. Specifically, it acquires the external ambient temperature of the nacelle through the Supervisory Control and Data Acquisition (SCADA) system. Wind speed Generator speed and active power Data such as [other data points] are also collected. Simultaneously, a distributed temperature sensor array pre-embedded inside the blade (arranged at different spanwise positions on the leading edge, suction surface, and pressure surface) is used to acquire the surface temperature distribution. .

[0100] The preprocessing logic in this module can be: first, based on the ambient temperature... With wind speed A preliminary risk assessment was conducted using the Messier icing growth model and icing type calculation method. This was done when the ambient temperature met... Furthermore, if supercooled water droplets are present, the system is deemed to have a risk of freezing and enters a "pre-operation" state.

[0101] Figure 3 A schematic diagram illustrating the conservation of mass and energy on the surface of a component (blade) is provided. (Reference) Figure 3 According to the principle of conservation of mass, we can obtain:

[0102] ;

[0103] ;

[0104] ;

[0105] in, The mass flow rate of water vapor condensing into liquid water on the surface of a component during pneumatic heating is defined as the mass flow rate of water vapor condensing into liquid water during airflow. The total liquid water mass flow rate entering the control volume represents the sum of all water flowing into the control volume, consisting of multiple streams. ~ The mass flow rate of liquid water from each incoming stream includes the inflow of water from upstream of the control body, adjacent areas, or different sources (such as the impact of supercooled water droplets); The mass flow rate of water evaporated / sublimated represents the mass loss of liquid water evaporating or ice directly sublimating into water vapor within the body. The mass flow rate of freezing into ice characterizes the mass of liquid water in the body that is frozen into ice and is the core quantity for ice growth. The total mass flow rate of liquid water flowing out of the control volume represents the portion of unfrozen water flowing along the surface water film and flowing out of the control volume. and The mass flow rate of liquid water flowing out in each direction represents the amount of water film flowing out to different adjacent control volumes (such as directions 1 to 3, 2 to 4), and the absolute values ​​are summed.

[0106] According to the principle of conservation of energy, we can obtain:

[0107] ;

[0108] ;

[0109] in, The heat released during the condensation process, representing the latent heat released when water vapor condenses into liquid water, and used to heat the surface; The total energy flow entering the control volume represents the sum of energy carried by all water / airflow flowing into the control volume. ~ The energy flow rate carried by each incoming stream represents the energy input brought by the enthalpy (temperature, latent heat of phase change) of each incoming water / air stream; The heat removed by evaporation / sublimation represents the latent heat of vaporization absorbed from the control volume during the evaporation of liquid water or the sublimation of ice, resulting in cooling. The latent heat released when water freezes into ice is the latent heat of phase change released when liquid water solidifies into ice, and it is one of the main heat sources of the surface. The heat lost through convective heat transfer is characterized by the convective heat transfer between the surface of the control volume and the airflow, which transfers heat to the external airflow. The energy flow rate carried by the liquid water flowing out of the control volume represents the energy (enthalpy of water) carried away by the unfrozen water as it flows out.

[0110] By solving the above governing equations, the freezing mass within the control volume is obtained and converted into ice layer thickness.

[0111] It should be noted that estimating the ice thickness during the pretreatment stage can firstly avoid ineffective "micro-thermal pulse" energy consumption, thus preventing misjudgment. If the ambient temperature happens to be within... Furthermore, the humidity is high, but the wind speed is extremely low (e.g., only 2 m / s). According to aerodynamics, water droplets have almost no kinetic energy to impact the blades, and the actual ice thickness may be 0 mm. If the thickness is not estimated, the system will blindly trigger "micro-thermal pulses" to detect the ice shape, resulting in wasted energy. Only when the estimated thickness reaches a certain threshold is it worthwhile to initiate the subsequent energy consumption identification process.

[0112] Secondly, it can provide energy input prediction for subsequent de-icing strategies, enabling strategy pre-scheduling. The core of this application lies in "zonal thermal shock." For thin ice of 2mm, the required pulse energy and vibration time are very short; for thick ice of 15mm (heavily iced), the system needs to increase the duty cycle of the heating element or extend the ultrasonic vibration time in advance. Knowing the thickness allows the central control unit to calculate the energy budget required for de-icing in advance.

[0113] Understandably, wind speed and temperature do not directly participate in the icing growth model, but are two underlying parameters of icing and determine other parameters after icing. Wind speed determines "how much water is hit"; the stronger the wind, the more supercooled water droplets are thrown onto the blades, which affects the water droplet collection coefficient and liquid water content (LWC). Temperature determines "what kind of ice forms"; when the temperature is close to zero, water droplets will flow and form clear ice, and when the temperature is extremely low, water droplets will freeze instantly into loose frost ice.

[0114] In addition, the conditions for determining supercooled water are: as long as the temperature is below 0 degrees Celsius (there is a possibility of freezing) and the air humidity is particularly high (for example, greater than 85%, indicating that the air is full of water mist), the system can determine that supercooled water droplets exist at this time.

[0115] The ice type online identification module 204 is used for online identification based on the significant differences in the thermophysical properties of glaze ice and frost ice. According to the characteristics of leaf icing and frost covering, glaze ice is denser and has a lower thermal conductivity. The thermal conductivity is relatively high, while frost ice has a loose and porous structure containing a large number of voids. The specific implementation steps for online ice type identification, which is relatively low, include:

[0116] Step 1, Micro-thermal Pulse Injection: When the system is in the "pre-operation" state, the central control unit sends a pulse with an amplitude of [missing value] to the micro-heating film element located in the leading edge region of the blade (the area with the most severe icing). Duration is Short-time pulse heating command;

[0117] Step 2, Thermal Response Acquisition: Record the surface temperature change curve of this area over time using a distributed temperature sensor array. In order to prevent misjudgment caused by a single sensor, multiple temperature sensors can be deployed at different positions in the leading edge region of the blade.

[0118] Step 3, Feature Extraction and Discrimination: Calculate the temperature rise curve slope and thermal equilibrium time ,like Greater than the preset threshold and The short length indicates extremely rapid heat transfer, suggesting that the current ice layer is open ice with good thermal conductivity; if Less than the preset threshold and The length indicates that heat transfer is obstructed, and the current ice layer is determined to be frost ice with poor thermal conductivity.

[0119] In this way, the false alarm problem of traditional single temperature sensors being unable to distinguish between "low output due to low temperature" and "low output due to icing" can be effectively solved.

[0120] Partition de-icing execution module 206, such as Figure 4 As shown, the module divides the blade into multiple independent de-icing control zones along the spanwise and tangential directions, including: the leading edge impact zone, the central suction zone, and the central pressure zone. Each zone is independently equipped with a heating power controller and an ultrasonic vibrator for generating vibration.

[0121] Control strategy selection: The central control unit calls the preset de-icing strategy library based on the ice type identification result.

[0122] Strategy A: A "thermal shock + aerodynamic vibration" fragmentation strategy for frost and ice. This is a low-energy consumption mode. Based on the characteristics of frost and ice—weak adhesion and loose structure—the following steps are executed:

[0123] Step 1, Vibration Induction: The control unit does not activate high-power heating, but instead fine-tunes the pitch system to maintain the blade angle of attack at... Small-amplitude high-frequency fluctuations (e.g., frequencies close to the first natural frequency of the blade) are introduced within a certain range to induce aeroelastic flutter in the blade.

[0124] Step 2, thermal shock coordination: Simultaneously, a periodic "on-off" pulse current (duty cycle of about 30%) is applied to the heating film at the front edge. This uneven thermal expansion and contraction effect will generate shear force.

[0125] Step 3, Synergistic Effect: The shear force generated by aerodynamic flutter and the internal stress generated by thermal shock are superimposed in the loose and porous frost structure, causing the ice layer to fracture and detach before it is completely melted. Compared with traditional ice melting methods, this strategy can save a significant amount of energy.

[0126] Strategy B: The "gradient heating + ultrasonic assistance" melting strategy for clear ice is a high-efficiency mode. Based on the characteristics of clear ice, which causes significant damage to its aerodynamic shape and is prone to water film backflow and recrystallization when simply heated, the following steps are performed:

[0127] Step 1, Gradient heating: The control unit sets the heating power of the leading edge region (main icing area). Significantly higher than the trailing edge region (heating power is) This creates a temperature gradient along the chord. This technique aims to quickly break the adhesion (shear strength) between the ice layer and the leading edge surface, while simultaneously using the temperature difference to drive the melted water film to flow towards the trailing edge;

[0128] Step 2, Ultrasonic Assistance: Turn on the ultrasonic transducer attached to the leading edge surface to generate high-frequency micro-amplitude vibrations. Ultrasonic cavitation can effectively break the bonding bonds inside dense, clear ice, accelerate the melting process, and disrupt the surface tension of the water film, preventing water from refreezing at the trailing edge of the suction surface to form secondary ice corners.

[0129] The central control unit 208 has a built-in de-icing effect evaluation model based on aerodynamic characteristic data. During the execution of the de-icing strategy, the system monitors the output power of the wind turbine in real time. and generator speed The de-icing termination condition can be set to: real-time power. Restored to theoretical power More than 95% of the power fluctuation standard deviation. If the temperature is below the threshold and the duration exceeds 60 seconds, all heating and vibration modules must be stopped immediately upon implementation of the termination condition, and the unit must be restored to normal operation.

[0130] In practical applications, real-time monitoring of wind turbine output power is crucial. It can be identified as real-time power The standard deviation of power fluctuations can be obtained by calculating the standard deviation from the power curve data acquired over a period of time. The specific calculation method is as follows:

[0131] Step 1: Calculate the average value;

[0132] Step 2: Calculate the difference between each data point and the mean, and square it.

[0133] Step 3: Add the data obtained in Step 2 and divide by n-1;

[0134] Step 4: Take the square root of the data obtained in Step 3.

[0135] The aforementioned wind turbine blade de-icing method and system can achieve differentiated energy-saving control. By accurately identifying ice shapes, it avoids the energy waste caused by completely melting frost and ice. At the same time, it significantly improves de-icing efficiency. For open ice, it adopts a gradient heating and ultrasonic-assisted ice-breaking strategy, which shortens the de-icing time and accelerates the aerodynamic performance recovery time. In addition, it can effectively prevent secondary freezing. By using ultrasonic vibration to block the flow of meltwater from open ice to the trailing edge, it solves the problem of meltwater recrystallizing and forming "ice corners" during the de-icing process. Finally, it can achieve intelligent and precise de-icing. Based on the thermal response physical properties, it identifies ice layers, realizing a leap from passive and blind heating to active, precise identification and on-demand de-icing, improving the safety and stability of unit operation.

[0136] In one exemplary embodiment, such as Figure 5 As shown, a method for de-icing wind turbine blades is provided, which includes the following steps:

[0137] Step S301: If it is determined that there are supercooled water droplet adhesion conditions based on the ambient temperature and humidity of the blade, and the ambient temperature meets the preset temperature, switch to the preset working state and apply a heat pulse to the blade.

[0138] Step S302: Obtain the temperature change curve of the wind turbine blades under the action of thermal pulse;

[0139] Step S303: Determine the slope and thermal equilibrium time of the temperature change curve. If the slope is greater than the preset slope and the thermal equilibrium time is less than the preset time, determine the icing type as open ice. If the slope is less than or equal to the preset slope and the thermal equilibrium time is greater than or equal to the preset time, determine the icing type as frost ice.

[0140] Step S304: According to the first coordination scheme, control the blade to perform aeroelastic flutter and apply a periodically on-off pulsed current to the blade; or, according to the second coordination scheme, control the heating power of the blade and turn on the ultrasonic transducer attached to the blade; the heating power of the blade includes the leading edge heating power and the trailing edge heating power, and the leading edge heating power is higher than the trailing edge heating power, and the ultrasonic transducer is attached to the leading edge of the blade.

[0141] Step S305: Obtain the output power and generator speed of the wind turbine generator set. If the de-icing termination conditions are met based on the output power and generator speed, stop the de-icing process.

[0142] Optionally, the terminal can determine the presence of supercooled water droplet adhesion conditions based on ambient temperature and humidity. When supercooled water droplet adhesion conditions exist, and the ambient temperature meets the preset temperature, the terminal can determine that there is a risk of icing and switch to de-icing mode. At this time, the terminal can send a heating pulse command to the heaters deployed on the blade. The heaters receive and respond to the heat pulse excitation, heating a local area of ​​the blade. The temperature sensor can collect the blade surface temperature data of the heater deployment area in real time and upload the collected temperature data to the terminal. Based on the real-time temperature data returned by the temperature sensor, the terminal generates a temperature change curve of the blade surface. Based on the slope of the temperature change curve and the thermal equilibrium time, it determines whether the icing type is open ice or frost ice. If it is frost ice, the first cooperative scheme is adopted, and the blade angle of attack is adjusted by fine-tuning the pitch system. Within a certain range, small-amplitude high-frequency fluctuations are applied to induce aeroelastic flutter in the blades. Simultaneously, periodically switching pulsed currents are applied to the heaters at the leading edge of the blades to generate thermal shock. If it is an open-icing type, a second synergistic scheme is adopted, setting the heating power of the leading edge region of the blades. Significantly higher heating power than the trailing edge region This creates a temperature gradient along the chord. Simultaneously, the ultrasonic transducer attached to the leading edge of the blade can be activated to generate high-frequency micro-amplitude vibrations. Through ultrasonic cavitation, the bonding bonds within the dense, open ice are effectively broken, accelerating the melting process and disrupting the surface tension of the water film, preventing water from refreezing at the trailing edge of the suction surface to form secondary ice corners. The terminal can monitor the wind turbine's output power and generator speed in real time and determine whether the de-icing termination conditions are met based on these parameters. If the conditions are met, the de-icing process is stopped.

[0143] The aforementioned de-icing method for wind turbine blades can accurately identify the type of icing and implement differentiated de-icing strategies for different types of icing. For loose frost ice, a low-energy de-icing strategy is adopted, while for dense open ice, a de-icing strategy that avoids secondary freezing is adopted, thereby avoiding energy waste and secondary freezing of water accumulated from the melting of open ice.

[0144] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages in other steps. It is understood that the steps in different embodiments can be freely combined as needed, and all non-contradictory solutions formed by such combinations are within the scope of protection of this application.

[0145] Based on the same inventive concept, this application also provides a wind turbine blade de-icing device for implementing the wind turbine blade de-icing method described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations of one or more wind turbine blade de-icing device embodiments provided below can be found in the limitations of the wind turbine blade de-icing method described above, and will not be repeated here.

[0146] In one exemplary embodiment, such as Figure 6 As shown, a de-icing device for wind turbine blades is provided, comprising: an acquisition module 402, an identification module 404, and a processing module 406, wherein:

[0147] The acquisition module 402 is used to acquire the temperature change curve of the blades of the wind turbine generator under the action of a heat pulse;

[0148] The identification module 404 is used to determine the icing type of the blade based on the temperature change curve; the icing type includes frost ice or clear ice.

[0149] The processing module 406 is used to perform de-icing treatment on the blades according to the de-icing scheme corresponding to the icing type; the de-icing scheme includes a first synergistic scheme corresponding to the frost ice type, or a second synergistic scheme corresponding to the open ice type.

[0150] In an exemplary embodiment, the processing module 406 is further configured to control the blade to perform aeroelastic flutter according to the first coordination scheme and apply a periodically on-off pulsed current to the blade; or, according to the second coordination scheme, control the heating power of the blade and turn on the ultrasonic transducer attached to the blade; the heating power of the blade includes leading edge heating power and trailing edge heating power, and the leading edge heating power is higher than the trailing edge heating power, and the ultrasonic transducer is attached to the leading edge of the blade.

[0151] In an exemplary embodiment, the identification module 404 is further configured to determine the slope and thermal equilibrium time of the temperature change curve; if the slope is greater than a preset slope and the thermal equilibrium time is less than a preset time, determine that the icing type is the open ice type; if the slope is less than or equal to the preset slope and the thermal equilibrium time is greater than or equal to the preset time, determine that the icing type is the frost ice type.

[0152] In an exemplary embodiment, the wind turbine blade de-icing device further includes an identification module, used to determine the ice thickness of the blade according to a pre-set icing growth model; if the ice thickness is greater than a preset thickness, determine that the icing type is the open ice type; if the ice thickness is less than or equal to the preset thickness, determine that the icing type is the frost ice type.

[0153] In an exemplary embodiment, the wind turbine blade de-icing device further includes a trigger module, which is used to switch to a preset working state and apply the heat pulse to the blade when it is determined that there are supercooled water droplet adhesion conditions based on the ambient temperature and humidity of the blade, and the ambient temperature meets the preset temperature.

[0154] In an exemplary embodiment, the wind turbine blade de-icing device further includes a termination module for acquiring the output power and generator speed of the wind turbine; and stopping the de-icing process when the de-icing termination conditions are met based on the output power and generator speed.

[0155] Each module in the aforementioned wind turbine blade de-icing device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the computer device's memory as software, so that the processor can call and execute the corresponding operations of each module.

[0156] In one exemplary embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 7 As shown, the computer device includes a processor, memory, input / output interface, communication interface, display unit, and input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interface. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input / output interface is used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, Near Field Communication (NFC), or other technologies. When the computer program is executed by the processor, it implements a method for de-icing wind turbine blades. The display unit is used to form a visually visible image and can be a display screen, projection device, or virtual reality imaging device. The display screen can be an LCD screen or an e-ink screen. The input device of the computer device can be a touch layer covering the display screen, or buttons, trackballs, or touchpads set on the casing of the computer device, or external keyboards, touchpads, or mice, etc.

[0157] Those skilled in the art will understand that Figure 7 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0158] In one exemplary embodiment, a computer device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above-described method embodiments.

[0159] In one exemplary embodiment, a computer-readable storage medium is provided having a computer program stored thereon that, when executed by a processor, implements the steps in the above-described method embodiments.

[0160] In one exemplary embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above-described method embodiments.

[0161] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0162] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0163] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0164] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for de-icing wind turbine blades, characterized in that, The method includes: Obtain the temperature change curve of the blades of a wind turbine generator under thermal pulse. The icing type of the blade is determined based on the temperature change curve; the icing type includes frost ice or clear ice. According to the de-icing scheme corresponding to the icing type, the blade is de-iced; the de-icing scheme includes a first synergistic scheme corresponding to the frost ice type, or a second synergistic scheme corresponding to the open ice type.

2. The method according to claim 1, characterized in that, The step of de-icing the blades according to the de-icing scheme corresponding to the icing type includes: According to the first coordination scheme, the blades are controlled to perform aeroelastic flutter, and periodically on-off pulsed currents are applied to the blades; or, According to the second collaborative scheme, the heating power of the blade is controlled, and the ultrasonic transducer attached to the blade is turned on; the heating power of the blade includes the leading edge heating power and the trailing edge heating power, and the leading edge heating power is higher than the trailing edge heating power, and the ultrasonic transducer is attached to the leading edge of the blade.

3. The method according to claim 1, characterized in that, Determining the icing type of the blade based on the temperature change curve includes: Determine the slope and thermal equilibrium time of the temperature change curve; If the slope is greater than a preset slope and the thermal equilibrium time is less than a preset time, the icing type is determined to be the open ice type. If the slope is less than or equal to the preset slope and the thermal equilibrium time is greater than or equal to the preset time, the icing type is determined to be the frost type.

4. The method according to claim 1, characterized in that, Before performing de-icing treatment on the blades according to the de-icing scheme corresponding to the icing type, the method further includes: The ice layer thickness of the blade is determined based on a pre-set icing growth model; If the ice layer thickness is greater than a preset thickness, the ice type is determined to be the open ice type; If the ice layer thickness is less than or equal to the preset thickness, the ice type is determined to be the frost ice type.

5. The method according to claim 1, characterized in that, Before obtaining the temperature change curve of the wind turbine blades under thermal pulse, the method further includes: If it is determined that there are supercooled water droplet adhesion conditions based on the ambient temperature and humidity of the blade, and the ambient temperature meets the preset temperature, the system switches to the preset working state and applies the heat pulse to the blade.

6. The method according to claim 1, characterized in that, After de-icing the blades according to the de-icing scheme corresponding to the icing type, the method further includes: Obtain the output power and generator speed of the wind turbine generator set; If the de-icing termination conditions are met based on the output power and the generator speed, the de-icing process is stopped.

7. A de-icing device for wind turbine blades, characterized in that, The device includes: The acquisition module is used to acquire the temperature change curve of the blades of the wind turbine generator under the action of thermal pulse; The identification module is used to determine the icing type of the blade based on the temperature change curve; the icing type includes frost ice or clear ice. The processing module is used to perform de-icing treatment on the blades according to the de-icing scheme corresponding to the icing type; the de-icing scheme includes a first synergistic scheme corresponding to the frost ice type, or a second synergistic scheme corresponding to the open ice type.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

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