Method, device and system for detecting icing of blades of wind generating set

By obtaining wind speed, pitch angle and power values ​​in the wind turbine set and selecting the expected power values ​​from the three-dimensional mapping relationship diagram for comparison, the problems of high cost and slow detection of blade icing in the prior art are solved, and a fast and accurate detection effect is achieved.

CN119641576AActive Publication Date: 2025-03-18HUANENG GUANGDONG SHANTOU OFFSHORE WIND POWER CO LTD +2
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Patent Information

Application Number
CN202411954967.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-27
Publication Date
2025-03-18
Estimated Expiration
2044-12-27

AI Technical Summary

Technical Problem

In the prior art, the detection method for blade icing of wind turbine sets has the problems of high cost and slow detection speed. The traditional method requires additional installation of detection devices or requires a large amount of data to generate a wind speed power trend curve.

Method used

By obtaining the current wind speed value, pitch angle and power value in the power generation state of the wind turbine, selecting the expected power value matching the current condition from the preset three-dimensional mapping relationship diagram, and comparing it to determine whether the blade is frozen.

Benefits of technology

It realizes a rapid and accurate judgment of whether the blades of the wind turbine unit are frozen, reducing the detection cost and improving the detection efficiency.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to a method, a device and a system for detecting icing of blades of a wind generating set. The method comprises the steps that in the power generation state of the wind generating set, the current wind speed value and the current pitch angle and the current power value of the wind generating set are obtained; selecting a first expected power value matched with the current pitch angle and the current power value from a preset three-dimensional mapping relation graph; the three-dimensional mapping relation graph comprises a first mapping relation of a pitch angle, a power value and a wind speed value of the wind generating set under the condition that the wind generating set is not frozen; comparing the current power value with a first expected power value to obtain a comparison result; and determining whether the blades of the wind generating set are frozen or not according to the comparison result. According to the scheme, the blade icing detection efficiency is improved.
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Description

Technical Field

[0001] The present disclosure relates to the technical field of wind power generation, and in particular to a method, device and system for detecting ice formation on blades of a wind turbine generator set. Background Art

[0002] In the related art, when ice accumulates on the surface of the wind turbine blades, the unbalanced load of the unit increases due to the different ice loads on each blade, thereby reducing the life of the wind turbine components and causing great harm to the unit; the original aerodynamic shape of the blades will change, reducing the wind energy utilization coefficient of the unit, thereby causing a reduction in power generation, and in severe cases, it may also cause the wind turbine to fail to start normally; if the wind turbine continues to run at this time, the thrown ice fragments or large ice cubes may harm the wind turbine itself and people or objects nearby. One of the traditional ice detection methods is to install additional detection devices, such as optical fiber sensors, ultrasonic detection, and image detection. This data-based method has a high cost; another traditional ice detection method requires first generating a wind speed power trend curve based on the collected data, and then comparing the wind speed power trend curve with the preset wind speed power curve to determine whether it is iced. This method requires a large amount of data, resulting in a slow detection speed. Summary of the invention

[0003] In order to overcome the problems existing in the related art, the present disclosure provides a method, device and system for detecting ice formation on blades of a wind turbine generator set.

[0004] According to a first aspect of an embodiment of the present disclosure, a method for detecting ice formation on blades of a wind turbine generator set is provided, comprising:

[0005] When the wind turbine generator set is in a power generation state, obtaining a current wind speed value and a current pitch angle and a current power value of the wind turbine generator set;

[0006] Selecting a first expected power value matching the current pitch angle and the current power value from a preset three-dimensional mapping relationship diagram; the three-dimensional mapping relationship diagram includes a first mapping relationship between the pitch angle, the power value and the wind speed value of the wind turbine generator set when it is not frozen;

[0007] Comparing the current power value with the first expected power value to obtain a comparison result;

[0008] Whether the blades of the wind turbine generator set are frozen is determined according to the comparison result.

[0009] In some embodiments of the present disclosure, comparing the current power value with the first expected power value to obtain a comparison result includes:

[0010] Acquire a first preset ratio corresponding to the wind turbine generator set according to the current wind speed value and the current pitch angle;

[0011] Determine the product of the first preset ratio and the first expected power value to obtain a first threshold;

[0012] Comparing the current power value with the first threshold value to obtain the comparison result;

[0013] Determining whether the blades of the wind turbine generator set are frozen according to the comparison result includes:

[0014] When the comparison result is that the current power value is less than or equal to the first threshold, it is determined that the blades of the wind turbine generator set are iced.

[0015] In some embodiments of the present disclosure, before acquiring a first preset ratio corresponding to the wind turbine generator set according to the current wind speed value and the current pitch angle, the method may further include:

[0016] Using a wind turbine generator simulation model, according to the mapping relationship between the pitch angle and the wind speed value in the three-dimensional mapping relationship diagram, simulating the process of the wind turbine generator operating at different pitch angles and different wind speed values ​​when the blades are frozen, to obtain a simulated power value and a second mapping relationship between the simulated power value, the pitch angle and the wind speed value;

[0017] For each simulated power value, a second expected power value that matches the pitch angle and wind speed value corresponding to the simulated power value is selected from the three-dimensional mapping relationship diagram, and the proportion of the target simulated power value in the second expected power value is calculated to obtain a first preset ratio corresponding to the simulated power value.

[0018] In some embodiments of the present disclosure, determining whether the blades of the wind turbine generator set are frozen according to the comparison result includes:

[0019] Obtaining the current temperature of the area where the wind turbine generator set is located;

[0020] When the current temperature is less than 4° C. and the comparison result does not meet a preset condition, it is determined that the blades of the wind turbine generator set are frozen.

[0021] In some embodiments of the present disclosure, the method further includes:

[0022] When it is determined that the blades of the wind turbine generator set are in an icing state for a preset period of time, the blades of the wind turbine generator set are controlled to stop running.

[0023] According to a second aspect of an embodiment of the present disclosure, there is provided a wind turbine blade icing detection device, characterized in that it comprises:

[0024] An acquisition unit is used to acquire a current wind speed value and a current pitch angle and a current power value of the wind generator set when the wind generator set is in a power generation state;

[0025] A selection unit is used to select a first expected power value matching the current pitch angle and the current power value from a preset three-dimensional mapping relationship diagram based on the pitch angle and the current wind speed value; the three-dimensional mapping relationship diagram includes a first mapping relationship between the pitch angle, the power value and the wind speed value of the wind turbine generator set when it is not frozen;

[0026] A comparing unit, used for comparing the current power value with the first expected power value to obtain a comparison result;

[0027] A determination unit is used to determine whether the blades of the wind turbine generator set are frozen according to the comparison result.

[0028] In some embodiments of the present disclosure, the comparison unit is specifically used for:

[0029] Acquire a first preset ratio corresponding to the wind turbine generator set according to the current wind speed value and the current pitch angle;

[0030] Determine the product of the first preset ratio and the first expected power value to obtain a first threshold;

[0031] Comparing the current power value with the first threshold value to obtain the comparison result;

[0032] Determining whether the blades of the wind turbine generator set are frozen according to the comparison result includes:

[0033] When the comparison result is that the current power value is less than or equal to the first threshold, it is determined that the blades of the wind turbine generator set are iced.

[0034] According to a third aspect of an embodiment of the present disclosure, an electronic device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method described in any one of the first aspects is implemented.

[0035] According to a fourth aspect of an embodiment of the present disclosure, there is provided a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the method according to any one of the first aspects is implemented.

[0036] According to a fifth aspect of an embodiment of the present disclosure, a computer program product is provided, comprising a computer program, wherein the computer program implements the method as described in any one of the first aspects when executed by a processor.

[0037] The technical solution provided by the embodiments of the present disclosure may include the following beneficial effects: by obtaining the current wind speed value and the current pitch angle and current power value of the wind turbine when the wind turbine is in a power generation state; selecting a first expected power value that matches the current pitch angle and the current power value from a preset three-dimensional mapping relationship diagram for the pitch angle and the current wind speed value; the three-dimensional mapping relationship diagram includes a first mapping relationship between the pitch angle, power value and wind speed value of the wind turbine when it is not frozen; comparing the current power value with the first expected power value to obtain a comparison result; determining whether the blades of the wind turbine are frozen based on the comparison result, thereby being able to use the three-dimensional mapping relationship diagram to quickly and accurately determine whether the blades of the wind turbine are frozen, thereby improving the efficiency of blade ice detection.

[0038] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0040] Figure 1 The present invention is a flow chart of a method for detecting ice formation on blades of a wind turbine generator set according to an exemplary embodiment.

[0041] Figure 2 It is a curve showing the relationship between wind speed and pitch angle at a stable working point according to an embodiment of the present disclosure.

[0042] Figure 3 It is a three-dimensional mapping relationship diagram shown in an embodiment of the present disclosure.

[0043] Figure 4 The present invention is a block diagram of a wind turbine blade icing detection device according to an exemplary embodiment.

[0044] Figure 5 The present invention is a block diagram of a device for detecting ice formation on blades of a wind turbine generator set according to an exemplary embodiment. DETAILED DESCRIPTION

[0045] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Instead, they are merely examples of devices and methods consistent with some aspects of the present invention as detailed in the appended claims.

[0046] The terms used in the disclosed embodiments are only for the purpose of describing specific embodiments, and are not intended to limit the disclosed embodiments. The singular forms "a", "an" and "the" used in the disclosed embodiments and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings.

[0047] It should be understood that although the terms first, second, third, etc. may be used to describe various information in the disclosed embodiments, these information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of the disclosed embodiments, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the words "if" and "if" as used herein may be interpreted as "at" or "when" or "in response to determination".

[0048] In addition, various forms of processes shown in the embodiments of the present disclosure may be used to reorder, add or delete steps. For example, the steps described in the present application may be performed in parallel, sequentially or in different orders, as long as the desired results of the technical solution disclosed in the present disclosure can be achieved, and this document does not limit this.

[0049] In the related art, when ice accumulates on the surface of the wind turbine blades, the unbalanced load of the unit increases due to the different ice loads on each blade, thereby reducing the life of the wind turbine components and causing great harm to the unit; the original aerodynamic shape of the blades will change, reducing the wind energy utilization coefficient of the unit, thereby causing a reduction in power generation, and in severe cases, it may also cause the wind turbine to fail to start normally; if the wind turbine continues to run at this time, the thrown ice fragments or large ice cubes may harm the wind turbine itself and people or objects nearby. One of the traditional ice detection methods is to install additional detection devices, such as optical fiber sensors, ultrasonic detection, and image detection. This data-based method has a high cost; another traditional ice detection method requires first generating a wind speed power trend curve based on the collected data, and then comparing the wind speed power trend curve with the preset wind speed power curve to determine whether it is iced. This method requires a large amount of data, resulting in a slow detection speed.

[0050] In order to solve the above problems, the present disclosure provides a method, device and system for detecting ice on blades of a wind turbine generator set, which obtains the current wind speed value and the current pitch angle and current power value of the wind turbine generator set when the wind turbine generator set is in a power generation state; selects a first expected power value matching the current pitch angle and the current power value from a preset three-dimensional mapping relationship diagram for the pitch angle and the current wind speed value; the three-dimensional mapping relationship diagram includes a first mapping relationship between the pitch angle, power value and wind speed value of the wind turbine generator set when it is not iced; compares the current power value with the first expected power value to obtain a comparison result; determines whether the blades of the wind turbine generator set are iced according to the comparison result, so that the three-dimensional mapping relationship diagram can be used to quickly and accurately judge whether the blades of the wind turbine generator set are iced, thereby improving the efficiency of blade ice detection.

[0051] Figure 1 FIG. 1 is a flow chart of a method for detecting ice formation on blades of a wind turbine generator set according to an exemplary embodiment. Figure 1 As shown, it should be noted that the wind turbine blade icing detection method of the embodiment of the present disclosure is applied to a wind turbine blade icing detection device. Figure 1 As shown, the method may include the following steps:

[0052] Step 101, when the wind turbine generator set is in power generation state, obtain the current wind speed value and the current pitch angle and current power value of the wind turbine generator set.

[0053] It should be noted that according to the basic theory of wind power generation:

[0054]

[0055] Among them, P is the active power of the unit, ρ is the air density, R is the impeller radius, C p is the wind energy utilization rate, λ is the tip speed ratio, G is the gearbox speed ratio, the direct drive unit takes 1, and ω is the generator speed.

[0056] During the period of maximum wind energy capture below rated wind speed, the pitch angle is generally 0°. At this time, the unit operates at the optimal tip speed ratio, and the power is related to the wind speed.

[0057] At the steady-state operating point above the rated wind speed, the input torque of the wind turbine is as follows:

[0058]

[0059] Among them, T r is the input torque of the wind turbine. T 0 At the stable operating point x 0 The wind turbine input torque at , v is the wind speed at the rotor hub, β is the wind turbine pitch angle, Ω rIt is the speed of the wind wheel at the stable operating point.

[0060] make Among them, k v is the sensitivity coefficient of wind speed to torque, k β is the sensitivity coefficient of pitch angle to torque, k Ω is the sensitivity coefficient of speed to torque, then

[0061] ΔT r =k v *Δv+k β *Δβ+k Ω *ΔΩ r

[0062] Because it works at the rated speed stable point Ω r , because at the stable working point, the power remains unchanged, so k v *Δv+k β *Δβ=0.

[0063] The relationship curve between wind speed and blade angle at the stable working point of the wind turbine is as follows: Figure 2 shown.

[0064] It can be seen that when the wind turbine blades are not frozen, there is a mapping relationship between the power value, the pitch angle and the wind speed.

[0065] Therefore, the current wind speed value, the current pitch angle and the current power value of the wind turbine generator set can be collected when the wind turbine generator set is in power generation state, so as to determine whether the blades are frozen. In addition, the present disclosure detects whether the blades are frozen based only on the pitch angle, wind speed and power, without the need to install additional detection devices, thereby reducing the detection cost.

[0066] Step 102: Select a first expected power value that matches the current pitch angle and the current power value from a preset three-dimensional mapping relationship diagram.

[0067] Among them, Figure 3 As shown, the three-dimensional mapping relationship diagram includes a first mapping relationship between the pitch angle, power value and wind speed value of the wind turbine generator set when it is not frozen.

[0068] In one embodiment, the above-mentioned three-dimensional mapping relationship diagram can be generated using historical operating data of the wind turbine generator set under non-icing conditions, and a simulation model can be used to simulate the operating process of the above-mentioned wind turbine generator under non-icing conditions to obtain simulated operating data, and the above-mentioned three-dimensional mapping relationship diagram can be generated using the simulated operating data.

[0069] It can be understood that the first expected power value is a power value when the blades are not frozen, that is, a power value when the wind turbine operates normally.

[0070] Step 103, comparing the current power value with the first expected power value to obtain a comparison result.

[0071] It is understandable that the power value of the wind turbine generator set in the current operating state is compared with the first expected power value corresponding to the wind turbine generator set operating normally at the same wind speed and pitch angle to determine whether there is icing.

[0072] In some embodiments of the present disclosure, step 103 may specifically include the following steps:

[0073] Step a1, acquiring a first preset ratio corresponding to the wind turbine generator set according to the current wind speed value and the current pitch angle;

[0074] Step a2, determining the product of the first preset ratio and the first expected power value to obtain a first threshold;

[0075] Step a3, comparing the current power value with the first threshold value to obtain a comparison result;

[0076] Step 104 may specifically include:

[0077] When the comparison result is that the current power value is less than or equal to the first threshold, it is determined that the blades of the wind turbine generator set are frozen.

[0078] It is understandable that due to measurement errors and some slight differences in operating conditions, even if the wind turbine is not frozen, there will be a certain difference between the current power value and the corresponding first expected power value. Therefore, whether the blades are frozen can be judged based on the difference between the current power value and the corresponding first expected power value.

[0079] In addition, different first preset ratios may be allocated to different wind turbine generator sets according to actual conditions, and the first preset ratio that matches the wind turbine generator set to be detected may be selected.

[0080] In one embodiment, the first preset ratio can be multiplied by the first expected power value to obtain a first threshold value. When the current power value is less than or equal to the first threshold value, it means that the difference between the current power value and the first expected power value is large, and it is determined that the blades of the wind turbine are iced.

[0081] In some embodiments of the present disclosure, before step a1, the method may further include the following steps:

[0082] A wind turbine generator simulation model is used to simulate the operation of the wind turbine generator according to different pitch angles and different wind speed values ​​under a blade icing state according to the mapping relationship between the pitch angle and the wind speed value in the three-dimensional mapping relationship diagram, so as to obtain a simulated power value and a second mapping relationship between the simulated power value, the pitch angle and the wind speed value;

[0083] For each simulated power value, a second expected power value matching the pitch angle and wind speed value corresponding to the simulated power value is selected from the three-dimensional mapping relationship diagram, and the proportion of the target simulated power value in the second expected power value is calculated to obtain a first preset ratio corresponding to the simulated power value.

[0084] In one embodiment, a wind turbine simulation model can be used to simulate the simulated power values ​​corresponding to different wind speeds and different pitch angles of the wind turbine when the blades are frozen, so as to determine the proportion of the simulated power value in the second expected power value, thereby obtaining a first preset ratio, and then determining the degree of difference between the actual power value and the expected power value of the wind turbine when the blades begin to freeze, thereby improving the accuracy of blade ice detection.

[0085] Step 104, determining whether the blades of the wind turbine generator set are frozen based on the comparison result.

[0086] In one embodiment, the degree of difference between the current power value and the first expected power value is determined based on the comparison result. If the degree of difference is large enough, it is determined that the blades of the wind turbine are frozen. If the degree of difference is small, it is determined that the blades of the wind turbine are not frozen.

[0087] It should be noted that the present invention utilizes the real-time collected wind speed value and the current pitch angle and current power value of the wind turbine to directly compare with the three-dimensional mapping relationship diagram to obtain the blade icing detection result. The amount of data required for detection is extremely small, and there is no need to accumulate data, which effectively improves the detection speed, thereby improving the timeliness of identifying icing on the wind turbine blades, and can timely avoid the risks and losses caused by the blades.

[0088] In some embodiments of the present disclosure, step 104 may specifically include the following steps:

[0089] Get the current temperature in the area where the wind turbine is located;

[0090] When the current temperature is less than 4°C and the comparison result does not meet the preset conditions, it is determined that the blades of the wind turbine are frozen.

[0091] It can be understood that in order to more accurately determine whether the large difference between the current power value and the first expected power value is caused by blade icing, it can be determined whether the current temperature is above 4°C. If the current temperature is greater than 4°C, the blades will not freeze, and it may be caused by other reasons.

[0092] Therefore, in one embodiment, when the current temperature is less than 4°C and the comparison result does not meet the preset conditions, it is determined that the blades of the wind turbine are frozen, thereby avoiding the problem of inaccurate icing detection results caused by the current power value being lower than the expected power value due to other reasons, thereby improving the accuracy of the detection results.

[0093] In some embodiments of the present disclosure, the method may further include the following steps:

[0094] When it is determined that the blades of the wind turbine generator set are in an icing state for a preset period of time, the blades of the wind turbine generator set are controlled to stop running.

[0095] It is understandable that in order to ensure the stable and safe operation of the wind turbine, when it is determined that the blades of the wind turbine continue to be in a frozen state for a preset period of time, it is necessary to promptly control the wind turbine blades to stop running, so as to avoid affecting the service life of the wind turbine components, and at the same time avoid ice cubes on the blades falling off and causing damage to the wind turbine itself as well as damage to surrounding personnel and equipment.

[0096] According to the wind turbine blade icing detection method proposed in the embodiment of the present disclosure, the current wind speed value and the current pitch angle and the current power value of the wind turbine are obtained when the wind turbine is in a power generation state; the pitch angle and the current wind speed value are selected from a preset three-dimensional mapping relationship diagram as a first expected power value that matches the current pitch angle and the current power value; the three-dimensional mapping relationship diagram includes a first mapping relationship between the pitch angle, the power value and the wind speed value of the wind turbine when it is not frozen; the current power value is compared with the first expected power value to obtain a comparison result; and whether the wind turbine blade is frozen is determined based on the comparison result, so that the three-dimensional mapping relationship diagram can be used to quickly and accurately judge whether the wind turbine blade is frozen, thereby improving the efficiency of blade icing detection.

[0097] Figure 4 FIG. 1 is a block diagram of a wind turbine blade icing detection device according to an exemplary embodiment. Figure 4 The device includes an acquisition unit 401, a selection unit 402, a comparison unit 403 and a determination unit 404.

[0098] The acquisition unit 401 is used to acquire the current wind speed value, the current pitch angle and the current power value of the wind generator set when the wind generator set is in a power generation state;

[0099] A selection unit 402 is used to select a first expected power value that matches the current pitch angle and the current power value from a preset three-dimensional mapping relationship diagram; the three-dimensional mapping relationship diagram includes a first mapping relationship between the pitch angle, the power value and the wind speed value of the wind turbine generator set when it is not frozen;

[0100] The comparison unit 403 is used to compare the current power value with the first expected power value to obtain a comparison result;

[0101] The determination unit 404 is used to determine whether the blades of the wind turbine generator set are frozen according to the comparison result.

[0102] In some embodiments of the present disclosure, the comparison unit 403 is specifically used to:

[0103] According to the current wind speed value and the current pitch angle, a first preset ratio corresponding to the wind turbine generator set is acquired;

[0104] Determine the product of the first preset ratio and the first expected power value to obtain a first threshold;

[0105] Comparing the current power value with the first threshold value to obtain a comparison result;

[0106] Determine whether the blades of the wind turbine generator set are iced based on the comparison results, including:

[0107] When the comparison result is that the current power value is less than or equal to the first threshold, it is determined that the blades of the wind turbine generator set are frozen.

[0108] In some embodiments of the present disclosure, the device may further include:

[0109] A simulation unit is used to use a wind turbine generator simulation model to simulate the process of the wind turbine generator operating at different pitch angles and different wind speed values ​​under a blade icing state according to the mapping relationship between the pitch angle and the wind speed value in the three-dimensional mapping relationship diagram, so as to obtain a simulated power value and a second mapping relationship between the simulated power value, the pitch angle and the wind speed value;

[0110] The calculation unit is used to select, for each simulated power value, a second expected power value that matches the pitch angle and wind speed value corresponding to the simulated power value from the three-dimensional mapping relationship diagram, calculate the proportion of the target simulated power value in the second expected power value, and obtain a first preset ratio corresponding to the simulated power value.

[0111] In some embodiments of the present disclosure, the determining unit 404 is specifically configured to:

[0112] Get the current temperature in the area where the wind turbine is located;

[0113] When the current temperature is less than 4°C and the comparison result does not meet the preset conditions, it is determined that the blades of the wind turbine are frozen.

[0114] In some embodiments of the present disclosure, the device may further include:

[0115] The control unit is used to control the blades of the wind turbine generator set to stop running when it is determined that the blades of the wind turbine generator set are in an icing state for a preset period of time.

[0116] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0117] According to the wind turbine blade icing detection device proposed in the embodiment of the present disclosure, the current wind speed value and the current pitch angle and current power value of the wind turbine are obtained when the wind turbine is in a power generation state; the pitch angle and the current wind speed value are selected from a preset three-dimensional mapping relationship diagram as a first expected power value that matches the current pitch angle and the current power value; the three-dimensional mapping relationship diagram includes a first mapping relationship between the pitch angle, power value and wind speed value of the wind turbine when it is not frozen; the current power value is compared with the first expected power value to obtain a comparison result; and whether the wind turbine blade is frozen is determined based on the comparison result, so that the three-dimensional mapping relationship diagram can be used to quickly and accurately judge whether the wind turbine blade is frozen, thereby improving the efficiency of blade icing detection.

[0118] Figure 5 The block diagram of a device for detecting ice formation on blades of a wind turbine generator set according to an exemplary embodiment is shown. For example, the device 500 may be an electronic device, such as a programmable logic controller (PLC) or a computer.

[0119] Reference Figure 5 , the apparatus 500 may include one or more of the following components: a processing component 502 , a memory 504 , a power component 506 , a multimedia component 508 , a sensor component 514 , and a communication component 516 .

[0120] The processing component 502 generally controls the overall operation of the device 500, such as communicating with the display and data. The processing component 502 may include one or more processors 520 to execute instructions to complete all or part of the steps of the above method. In addition, the processing component 502 may include one or more modules to facilitate the interaction between the processing component 502 and other components. For example, the processing component 502 may include a multimedia module to facilitate the interaction between the multimedia component 508 and the processing component 502.

[0121] The memory 504 is configured to store various types of data to support operations on the device 500. Examples of such data include instructions for any application or method operating on the device 500. The memory 504 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, or flash memory.

[0122] Power component 506 provides power to various components of device 500. Power component 506 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for device 500.

[0123] The multimedia component 508 includes a screen that provides an output interface between the device 500 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundaries of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation.

[0124] The sensor assembly 514 includes one or more sensors for providing various aspects of status evaluation for the device 500. For example, the sensor assembly 514 may include an absolute encoder for evaluating the impeller position and impeller speed, and may also include an anemometer for evaluating wind speed, etc. In addition, it may also include other sensors for wind turbines, such as: a vibration sensor, an incremental encoder, an anemometer vane, a temperature sensor, and a pressure sensor.

[0125] The communication component 516 is configured to facilitate wired or wireless communication between the apparatus 500 and other devices. For example, an industrial bus such as modbus-tcp, modbus-rtu, canopen, profibus, etc. can be used to implement wind turbine network communication.

[0126] In an exemplary embodiment, the apparatus 500 may be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components to perform the above methods.

[0127] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 504 including instructions, and the instructions can be executed by the processor 520 of the device 500 to perform the above method. For example, the non-transitory computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0128] In an exemplary embodiment, a computer program product is also provided, comprising a computer program, which implements the above method when executed by the processor 520 of the device 500.

[0129] Those skilled in the art will readily appreciate other embodiments of the present invention after considering the specification and practicing the invention disclosed herein. The present disclosure is intended to cover any variations, uses or adaptations of the present invention that follow the general principles of the present invention and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The description and examples are to be considered exemplary only, and the true scope and spirit of the present invention are indicated by the following claims.

[0130] It should be understood that the present invention is not limited to the exact construction that has been described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

Claims

1. A method for detecting ice formation on blades of a wind turbine generator set, characterized in that: include: When the wind turbine generator set is in a power generation state, obtaining a current wind speed value and a current pitch angle and a current power value of the wind turbine generator set; Selecting a first expected power value matching the current pitch angle and the current power value from a preset three-dimensional mapping relationship diagram; the three-dimensional mapping relationship diagram includes a first mapping relationship between the pitch angle, the power value and the wind speed value of the wind turbine generator set when it is not frozen; Comparing the current power value with the first expected power value to obtain a comparison result; Whether the blades of the wind turbine generator set are frozen is determined according to the comparison result.

2. The wind turbine blade icing detection method according to claim 1, characterized in that: The comparing the current power value with the first expected power value to obtain a comparison result includes: Acquire a first preset ratio corresponding to the wind turbine generator set according to the current wind speed value and the current pitch angle; Determine the product of the first preset ratio and the first expected power value to obtain a first threshold; Comparing the current power value with the first threshold value to obtain the comparison result; Determining whether the blades of the wind turbine generator set are frozen according to the comparison result includes: When the comparison result is that the current power value is less than or equal to the first threshold, it is determined that the blades of the wind turbine generator set are iced.

3. The wind turbine blade icing detection method according to claim 2, characterized in that: Before acquiring a first preset ratio corresponding to the wind turbine generator set according to the current wind speed value and the current pitch angle, the method may further include: Using a wind turbine generator simulation model, according to the mapping relationship between the pitch angle and the wind speed value in the three-dimensional mapping relationship diagram, simulating the process of the wind turbine generator operating at different pitch angles and different wind speed values ​​when the blades are frozen, to obtain a simulated power value and a second mapping relationship between the simulated power value, the pitch angle and the wind speed value; For each simulated power value, a second expected power value that matches the pitch angle and wind speed value corresponding to the simulated power value is selected from the three-dimensional mapping relationship diagram, and the proportion of the target simulated power value in the second expected power value is calculated to obtain a first preset ratio corresponding to the simulated power value.

4. The wind turbine blade icing detection method according to claim 1, characterized in that: The step of determining whether the blades of the wind turbine generator set are frozen according to the comparison result includes: Obtaining the current temperature of the area where the wind turbine generator set is located; When the current temperature is less than 4° C. and the comparison result does not meet a preset condition, it is determined that the blades of the wind turbine generator set are frozen.

5. The wind turbine blade icing detection method according to claim 1, characterized in that: The method further comprises: When it is determined that the blades of the wind turbine generator set are in an icing state for a preset period of time, the blades of the wind turbine generator set are controlled to stop running.

6. A wind turbine blade icing detection device, characterized in that: include: An acquisition unit is used to acquire a current wind speed value and a current pitch angle and a current power value of the wind generator set when the wind generator set is in a power generation state; A selection unit, configured to select a first expected power value matching the current pitch angle and the current power value from a preset three-dimensional mapping relationship diagram; The three-dimensional mapping relationship diagram includes a first mapping relationship between a pitch angle, a power value and a wind speed value of the wind turbine generator set when the wind turbine generator set is not iced; A comparing unit, used for comparing the current power value with the first expected power value to obtain a comparison result; A determination unit is used to determine whether the blades of the wind turbine generator set are frozen according to the comparison result.

7. The wind turbine blade icing detection device according to claim 1, characterized in that: The comparison unit is specifically used for: Acquire a first preset ratio corresponding to the wind turbine generator set according to the current wind speed value and the current pitch angle; Determine the product of the first preset ratio and the first expected power value to obtain a first threshold; Comparing the current power value with the first threshold value to obtain the comparison result; Determining whether the blades of the wind turbine generator set are frozen according to the comparison result includes: When the comparison result is that the current power value is less than or equal to the first threshold, it is determined that the blades of the wind turbine generator set are iced.

8. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method according to any one of claims 1 to 5 is implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.

10. A computer program product, comprising a computer program, characterized in that The computer program implements the method according to any one of claims 1 to 5 when executed by a processor.

Citation Information

Patent Citations

  • Method and device for monitoring icing of blades of wind generating set

    CN108167140A

  • Wind turbine icing detection

    EP2112375A2