Method and device for operating a wind turbine

Abstract

Disclosed are a method and device for controlling operation of a wind turbine generator system, the method comprising: obtaining meteorological forecast data of an environment in which the wind turbine generator system is located; predicting icing conditions of the wind turbine generator system based on the meteorological forecast data; and controlling operation of the wind turbine generator system based on the icing conditions.

Description

Technical Field

[0001] This disclosure generally relates to the field of wind power generation technology, and more specifically, to methods and devices for the operation control of wind turbine generator sets. Background Technology

[0002] Currently, the industry's monitoring capabilities for the icing condition of wind turbine generators are relatively limited. Generally, the extent to which power generation deviates from the wind speed-power curve can be used to indirectly analyze the icing accumulation on wind turbine generators. This indicates that current capabilities for assessing icing conditions on wind turbine generators are only reactive, not predictive. Consequently, current countermeasures for wind turbine icing are always delayed; action can only be taken after a certain thickness of ice has accumulated, limiting both safety and economic efficiency. Summary of the Invention

[0003] The embodiments of this disclosure provide a method and apparatus for controlling the operation of a wind turbine generator set, which can effectively solve the problem that the existing measures for dealing with icing of wind turbine generator sets are all delayed.

[0004] In one general aspect, a method for operating and controlling a wind turbine generator set is provided, comprising: acquiring meteorological forecast data of the environment in which the wind turbine generator set is located; predicting the icing condition of the wind turbine generator set based on the meteorological forecast data; and controlling the operation of the wind turbine generator set based on the icing condition.

[0005] Optionally, based on meteorological forecast data, the icing situation of wind turbine generators can be predicted, including: obtaining the atmospheric liquid water content and the average radius of atmospheric liquid water based on meteorological forecast data; and predicting the icing situation of wind turbine generators based on the atmospheric liquid water content and the average radius of atmospheric liquid water.

[0006] Optionally, the icing condition includes the icing accumulation rate, wherein controlling the operation of the wind turbine based on the icing condition includes: determining the speed range in which the icing accumulation rate is located; adjusting the power of the heating device of the wind turbine to the power corresponding to the speed range; and / or determining the speed range in which the icing accumulation rate is located and the probability of the wind turbine experiencing an icing event corresponding to the speed range; and reducing the pitch angle of the wind turbine in response to the probability being greater than a preset threshold.

[0007] Optionally, the icing condition includes an icing configuration, wherein controlling the operation of the wind turbine based on the icing condition includes: determining the area on the blades of the wind turbine where the icing thickness exceeds a predetermined thickness value based on the icing configuration; and adjusting the power of the heating device of the wind turbine to the power corresponding to the predetermined area range in response to the area being within a preset area range.

[0008] Optionally, the icing condition includes icing accumulation rate and icing configuration. Controlling the operation of the wind turbine based on the icing condition includes: determining the speed range where the icing accumulation rate is located, and determining a first power of the wind turbine's heating device corresponding to the speed range; determining the area on the wind turbine blades where the icing thickness exceeds a predetermined thickness value based on the icing configuration, and increasing a preset power based on the first power to obtain a second power in response to the area being within a preset area range; and adjusting the power of the wind turbine's heating device to the second power.

[0009] Optionally, the icing condition includes icing accumulation rate and icing configuration. Controlling the operation of the wind turbine based on the icing condition includes: determining the speed range where the icing accumulation rate is located, and determining a first probability that the wind turbine will experience an icing event within that speed range; determining the area on the wind turbine blades where the icing thickness exceeds a predetermined thickness value based on the icing configuration, and increasing a preset probability by a second probability based on the first probability if the area falls within a preset area range; and reducing the pitch angle of the wind turbine if the second probability is greater than a preset threshold.

[0010] Optionally, the icing situation includes the wind turbine generator set freezing shutdown situation, wherein controlling the operation of the wind turbine generator set based on the icing situation includes: determining the wind turbine generator set freezing shutdown; determining the freezing end time based on meteorological forecast data; shutting down the wind turbine generator set start-up and shutdown procedures before the freezing end time; and starting the wind turbine generator set start-up and shutdown procedures at the freezing end time.

[0011] Optionally, the above method further includes: starting the heating device of the wind turbine generator at a preset power during a predetermined time period before the end of the freezing period.

[0012] Optionally, based on meteorological forecast data, the icing situation of the wind turbine generator is predicted, including: acquiring meteorological observation data of the environment where the wind turbine generator is located; and predicting the icing situation of the wind turbine generator based on the meteorological forecast data and the meteorological observation data.

[0013] In another general aspect, an operation control device for a wind turbine generator set is provided, comprising: an acquisition unit configured to acquire meteorological forecast data of the environment in which the wind turbine generator set is located; a prediction unit configured to predict the icing condition of the wind turbine generator set based on the meteorological forecast data; and a control unit configured to control the operation of the wind turbine generator set based on the icing condition.

[0014] Optionally, the control unit is also configured to acquire the atmospheric liquid water content and the average radius of atmospheric liquid water based on meteorological forecast data; and to predict the icing situation of the wind turbine based on the atmospheric liquid water content and the average radius of atmospheric liquid water.

[0015] Optionally, the icing condition includes icing accumulation speed, wherein the control unit is further configured to determine the speed range in which the icing accumulation speed is located; adjust the power of the heating device of the wind turbine to the power corresponding to the speed range; and / or determine the speed range in which the icing accumulation speed is located and the probability of the wind turbine experiencing an icing event corresponding to the speed range; and reduce the pitch angle of the wind turbine in response to the probability being greater than a preset threshold.

[0016] Optionally, the icing condition includes an icing configuration, wherein the control unit is further configured to determine the area on the wind turbine blades where the icing thickness exceeds a predetermined thickness value based on the icing configuration; and in response to the area being within a preset area range, to adjust the power of the wind turbine's heating device to the power corresponding to the preset area range.

[0017] Optionally, the icing condition includes icing accumulation speed and icing configuration. The control unit is further configured to determine the speed range in which the icing accumulation speed is located, and to determine a first power of the wind turbine's heating device corresponding to the speed range; to determine the area on the wind turbine blades where the icing thickness exceeds a predetermined thickness value based on the icing configuration, and to increase a preset power by a preset power based on the first power in response to the area being within a preset area range, thereby obtaining a second power; and to adjust the power of the wind turbine's heating device to the second power.

[0018] Optionally, the icing condition includes icing accumulation speed and icing configuration. The control unit is further configured to determine the speed range in which the icing accumulation speed is located, and to determine a first probability that the wind turbine will experience an icing event within the speed range; to determine the area on the blades of the wind turbine that has an icing thickness exceeding a predetermined thickness value based on the icing configuration, and to increase a preset probability based on the first probability in response to the area being within a preset area range, thereby obtaining a second probability; and to reduce the pitch angle of the wind turbine in response to the second probability being greater than a preset threshold.

[0019] Optionally, the icing situation includes the wind turbine generator set freezing shutdown situation, wherein the control unit is further configured to: determine the wind turbine generator set freezing shutdown; determine the freezing end time based on meteorological forecast data; shut down the wind turbine generator set start-up and shutdown process before the freezing end time; and start the wind turbine generator set start-up and shutdown process at the freezing end time.

[0020] Optionally, the control unit is also configured to start the heating device of the wind turbine at a preset power during a predetermined period of time before the end of the freezing period.

[0021] Optionally, the prediction unit is also configured to acquire meteorological observation data of the environment in which the wind turbine is located; and to predict the icing situation of the wind turbine based on the meteorological forecast data and the meteorological observation data.

[0022] In another general aspect, a computer-readable storage medium is provided for storing instructions, wherein when the instructions are executed by at least one computing device, they cause the at least one computing device to perform an operation control method for any of the wind turbine generators described above.

[0023] In another general aspect, a system is provided that includes at least one computing device and at least one storage device for storing instructions, wherein the instructions, when executed by the at least one computing device, cause the at least one computing device to perform an operation control method for any of the wind turbine generators described above.

[0024] In another general aspect, a wind turbine generator set is provided, including the wind turbine generator set operation control device as described above.

[0025] The wind turbine generator operation control method and apparatus according to embodiments of this disclosure incorporates meteorological forecast data, enabling the prediction of icing conditions on the wind turbine generator. Based on the predicted icing conditions, the operation of the wind turbine generator is controlled, thereby accurately predicting the icing situation and providing corresponding operation control strategies in advance. This shortens the icing duration of the wind turbine generator and reduces the impact of freezing on the economic benefits of the wind turbine generator site. Therefore, this disclosure solves the problem of delayed responses to icing conditions in related technologies, improving the safety and economic benefits of wind turbine generators.

[0026] Further aspects and / or advantages of the general concept of this disclosure will be set forth in part in the description which follows, and in part will be clear from the description or may be learned by practice of the general concept of this disclosure. Attached Figure Description

[0027] The above and other objects and features of the embodiments of this disclosure will become clearer from the following description taken in conjunction with the accompanying drawings illustrating the embodiments, wherein:

[0028] Figure 1 This is a flowchart illustrating an operation control method for a wind turbine generator set according to an embodiment of the present disclosure;

[0029] Figure 2 This is a flowchart illustrating the operation control method of the wind turbine generator set disclosed herein;

[0030] Figure 3 This is a block diagram illustrating the operation control device of the wind turbine generator set disclosed herein. Detailed Implementation

[0031] The following detailed embodiments are provided to aid the reader in gaining a comprehensive understanding of the methods, apparatus, and / or systems described herein. However, various changes, modifications, and equivalents of the methods, apparatus, and / or systems described herein will become apparent upon understanding this disclosure. For example, the order of operations described herein is merely illustrative and is not limited to those orders set forth herein, but may be changed as will become clear upon understanding this disclosure, except for operations that must occur in a specific order. Furthermore, for clarity and conciseness, descriptions of features known in the art may be omitted.

[0032] The features described herein may be implemented in different forms and should not be construed as limited to the examples described herein. Rather, the examples described herein are provided only to illustrate some of the many feasible ways of implementing the methods, apparatus, and / or systems described herein, which will become clear upon understanding the disclosure of this application.

[0033] As used herein, the term “and / or” includes any one of the associated listed items and any combination of any two or more.

[0034] Although terms such as “first,” “second,” and “third” may be used herein to describe various components, assemblies, regions, layers, or parts, these components, assemblies, regions, layers, or parts should not be limited by these terms. Rather, these terms are used only to distinguish one component, assembly, region, layer, or part from another. Thus, without departing from the teaching of the examples described herein, the first component, first assembly, first region, first layer, or first part referred to as the first component, first assembly, first region, first layer, or first part may also be referred to as the second component, second assembly, second region, second layer, or second part.

[0035] In the specification, when an element (such as a layer, region, or substrate) is described as being "on" another element, "connected to," or "bonded to" another element, the element may be directly "on" another element, directly "connected to," or "bonded to" the other element, or one or more other elements may be present in between. Conversely, when an element is described as being "directly on" another element, "directly connected to," or "directly bonded to" another element, no other elements may be present in between.

[0036] The terminology used herein is for the purpose of describing various examples only and is not intended to limit disclosure. Unless the context clearly indicates otherwise, the singular form is intended to include the plural form as well. The terms “comprising,” “including,” and “having” indicate the presence of the described features, quantities, operations, components, elements, and / or combinations thereof, but do not preclude the presence or addition of one or more other features, quantities, operations, components, elements, and / or combinations thereof.

[0037] Unless otherwise defined, all terms used herein (including technical and scientific terms) shall have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure pertains upon understanding this disclosure. Unless expressly defined herein, terms (such as those defined in a general dictionary) shall be interpreted as having a meaning consistent with their meaning in the context of the relevant field and in this disclosure, and shall not be interpreted in an idealized or overly formalistic manner.

[0038] Furthermore, in the description of the examples, detailed descriptions of well-known related structures or functions will be omitted when it is believed that such detailed descriptions would lead to a vague interpretation of this disclosure.

[0039] This disclosure provides a method and apparatus for operating and controlling a wind turbine generator set, which can solve the aforementioned problems. The method can be applied to a server, a single wind turbine generator controller, or a wind farm's central controller; this disclosure does not limit its application. The server and wind turbine generator set can be connected wirelessly or via a wired connection; this is not a limitation. The server can be a single server, a server cluster consisting of several servers, a cloud computing platform, or a virtualization center. The following explanation uses a server as an example.

[0040] The server acquires weather forecast data of the environment where the wind turbine is located, and then predicts the icing situation of the wind turbine based on the weather forecast data. Based on the icing situation, the server controls the operation of the wind turbine, thereby accurately predicting the icing situation of the wind turbine and providing corresponding operation control strategies in advance, shortening the icing time of the wind turbine and reducing the impact of freezing on the economic benefits of the site.

[0041] The operation control method and device of the wind turbine generator set disclosed herein will be described in detail below with reference to the accompanying drawings.

[0042] This disclosure proposes an operation control method for wind turbine generator sets. Figure 1 This is a flowchart illustrating an operation control method for a wind turbine generator set according to an embodiment of the present disclosure. (Refer to...) Figure 1 The operation control method for the wind turbine generator set includes the following steps:

[0043] In step S101, meteorological forecast data of the environment where the wind turbine generator is located is obtained. The meteorological forecast data in this step may include temperature, air pressure, humidity, wind speed, precipitation, etc., of the wind turbine generator or its vicinity for the next few hours to days. It may include the meteorological forecast data itself or variables processed from the forecast data; this disclosure does not limit its scope. The meteorological forecast data may be obtained by viewing a weather forecast; this disclosure does not limit its scope either.

[0044] In step S102, the icing situation of the wind turbine generator is predicted based on meteorological forecast data. This step predicts the icing situation of the wind turbine generator using meteorological forecast data, allowing for advance awareness of icing potential and enabling proactive control of the wind turbine generator's operation to reduce the impact of freezing. The icing situation can be the icing accumulation rate, the icing configuration, or other icing conditions; this disclosure does not limit these possibilities. The process of predicting the icing situation will be discussed in detail later and will not be elaborated upon here.

[0045] According to embodiments of this disclosure, predicting the icing condition of wind turbine generators based on meteorological forecast data may include: obtaining the atmospheric liquid water content and the average radius of atmospheric liquid water based on the meteorological forecast data; and predicting the icing condition of wind turbine generators based on the atmospheric liquid water content and the average radius of atmospheric liquid water. In this embodiment, the atmospheric liquid water content refers to the total amount of water droplets existing in liquid form in the atmosphere, and the average radius of atmospheric liquid water refers to the average radius of liquid water droplets in the atmosphere. According to this embodiment, since the atmospheric liquid water content and the average radius of atmospheric liquid water are closely related to the icing condition, a relatively accurate icing condition can be determined based on the atmospheric liquid water content and the average radius of atmospheric liquid water, thereby obtaining a more accurate operation control strategy.

[0046] For example, taking icing accumulation rate as an example, the relationship between icing accumulation rate and wind speed, atmospheric liquid water content, and the average radius of atmospheric liquid water is as follows:

[0047] M″=E·LWC·U

[0048] Here, M″ represents the icing accumulation rate, LWC represents the atmospheric liquid water content, U represents the wind speed, and E represents the liquid water collection efficiency.

[0049]

[0050]

[0051] Here, St is the Stokes coefficient, MVD is the average diameter of atmospheric liquid water, and ρ w d is the density of water. c Let μ be the diameter of the model cylinder.a This refers to atmospheric dynamic viscosity.

[0052] Therefore, LWC, MVD, and U have a significant impact on the icing accumulation rate. In this embodiment, after obtaining the relevant meteorological forecast data, the atmospheric liquid water content and the average radius of atmospheric liquid water can be estimated using the forecast quantities such as temperature, pressure, humidity, wind speed, precipitation, and visibility in the meteorological forecast data, and then the icing accumulation rate can be estimated as the icing situation.

[0053] The atmospheric liquid water content is directly proportional to the atmospheric extinction coefficient, i.e., the atmospheric extinction coefficient k. ext ∝LWC, and atmospheric visibility is inversely proportional to the atmospheric extinction coefficient. Therefore, under ideal conditions, for a near-saturated atmosphere, atmospheric visibility can be used to estimate the atmospheric liquid water content. Furthermore, atmospheric liquid water content can also be observed using forecast data and / or observation data, combined with methods such as holographic imaging; this disclosure does not impose limitations on this. Moreover, atmospheric liquid water content over a certain period can be continuous or discrete data; this disclosure does not impose limitations on this either.

[0054] The mean radius of atmospheric liquid water can also be observed using forecast data and / or observation data, combined with methods such as holographic imaging, and this disclosure does not impose any limitations on this. Furthermore, the mean radius of atmospheric liquid water over a certain period of time can be continuous data or discrete data, and this disclosure does not impose any limitations on this.

[0055] It should be noted that the aforementioned icing conditions are not limited to icing accumulation rate, but can also refer to icing configuration, i.e., the icing thickness in different regions of the wind turbine blades. When the icing condition is an icing configuration, it can be achieved through numerical simulation, by inputting atmospheric liquid water content, the average radius of atmospheric liquid water, etc., into the model to obtain the icing configuration. Of course, the aforementioned icing accumulation rate can also be obtained based on a corresponding model, and this disclosure does not limit this. Thus, obtaining the icing accumulation rate and icing configuration can guide subsequent wind turbine operation strategies during freezing periods.

[0056] According to embodiments of this disclosure, predicting the icing condition of a wind turbine generator based on weather forecast data may include: acquiring weather observation data of the environment where the wind turbine generator is located; and predicting the icing condition of the wind turbine generator based on the weather forecast data and the weather observation data. According to this embodiment, adding real-time observed data, i.e., weather observation data, together with the weather forecast data to predict the icing condition can increase the accuracy of the icing condition prediction.

[0057] For example, during the operation of the wind farm anti-icing procedure, on-site observation data can be acquired simultaneously, namely the meteorological observation data in the above embodiments. The meteorological observation data may include traditional meteorological observation data such as temperature, air pressure, humidity, and wind speed, as well as radar data, cloud and fog liquid water content, and atmospheric liquid water average diameter observation data. This disclosure does not limit the scope of the data.

[0058] Taking icing accumulation rate as an example, this embodiment, after obtaining relevant meteorological forecast and observation data, can estimate the atmospheric liquid water content and average radius corresponding to the forecast and observation quantities using forecast and observation quantities such as temperature, pressure, humidity, wind speed, precipitation, and visibility. Then, the average value of the atmospheric liquid water content and average radius corresponding to the observation and forecast quantities is taken, or the atmospheric liquid water content and average radius corresponding to the forecast or observation quantities can be used as the standard according to user needs. Based on the final atmospheric liquid water content and average radius obtained, the icing accumulation rate is estimated as the icing situation. Of course, the icing situation can also be directly estimated using forecast and observation quantities such as temperature, pressure, humidity, wind speed, precipitation, and visibility, and this disclosure does not limit this.

[0059] In step S103, the operation of the wind turbine generator is controlled based on the icing situation. In this step, controlling the operation of the wind turbine generator can be controlling the operation of its heating device, controlling its blade pitch angle, or controlling its start-up and shutdown procedures to achieve a strategy for controlling the power output of the wind turbine generator. Of course, other possible control strategies for wind turbine generator operation during freezing periods are also possible, and this disclosure does not limit these strategies.

[0060] Icing conditions can include various factors, such as icing accumulation rate and icing configuration. The following explains how to control the operation of wind turbine generators based on different types of icing conditions:

[0061] According to embodiments of this disclosure, the icing condition includes the icing accumulation rate. Controlling the operation of the wind turbine generator based on the icing condition may include: determining the speed range where the icing accumulation rate is located; adjusting the power of the wind turbine generator's heating device to the power corresponding to the speed range; and / or determining the speed range where the icing accumulation rate is located and the probability of an icing event occurring on the wind turbine generator corresponding to that speed range; and reducing the pitch angle of the wind turbine generator in response to a probability greater than a preset threshold. According to this embodiment, by using a corresponding heating power within the speed range where the icing accumulation rate is located, the time for maintaining an ice-free state on the blade surface can be extended as much as possible with minimal energy consumption. Furthermore, by adjusting the pitch angle according to the probability of icing occurring within the speed range where the icing accumulation rate is located to control the power of the wind turbine generator, the load on the wind turbine generator can be reduced.

[0062] For example, in the early stages of icing, the heating start-up time of the heating device can be adjusted in a timely manner. This embodiment describes a scheme for controlling the heating power of the heating device after it is started. Specifically, multiple speed ranges for the icing accumulation rate can be set, with each speed range corresponding to its own heating power. When the icing accumulation rate is within a certain speed range, the heating power of the heating device will be the heating power corresponding to that speed range. Of course, the heating power of the electric heating device can also be adjusted appropriately using forecasts and / or observations of temperature, humidity, and wind speed. It is not necessary to estimate the icing accumulation rate, atmospheric liquid water content, or the average radius of atmospheric liquid water; this disclosure does not limit this. It should be noted that the above-mentioned heating device can be installed on the blades of a wind turbine, especially the leading edge of the blade, to melt the water layer on the blade surface and form a liquid water layer on the blade surface, thereby preventing ice from adhering to the blade surface and accelerating the peeling of the ice layer on the blade surface.

[0063] For example, not all wind turbines are equipped with heating devices. When wind turbines operate in low-temperature environments without heating, they often require Supervisory Control and Data Acquisition (SCADA) system data to analyze power status. Upon identifying a power reduction event (such as an icing event), the wind turbine will enter a power reduction or shutdown protection procedure. However, current control systems rely solely on SCADA system data and do not incorporate weather forecasts. This embodiment utilizes icing accumulation speed determined by weather forecast data to control the wind turbine's power. Specifically, for older, faulty wind turbines, when the probability corresponding to the icing accumulation speed range exceeds a preset threshold—that is, when the feedback information indicates a high probability of an icing event—the pitch angle of the wind turbine should be promptly reduced to decrease its power and reduce the load on the wind turbine. Of course, the probability of freezing time can also be determined by directly using forecasts and / or observations of temperature, humidity, and wind speed, without necessarily estimating the icing accumulation rate or atmospheric liquid water content and average radius of atmospheric liquid water. This disclosure does not impose any limitations on this.

[0064] It should be noted that the power adjustment and pitch angle control of the above-mentioned heating device can be performed simultaneously or separately, depending on the user's needs. This disclosure does not impose any limitations on these settings.

[0065] According to embodiments of this disclosure, the icing condition includes an icing configuration. Controlling the operation of a wind turbine based on the icing condition may include: determining the area on the wind turbine blades where the ice thickness exceeds a predetermined thickness value based on the icing configuration; and adjusting the power of the wind turbine's heating device to the power corresponding to the preset area range in response to the area being within a preset area range. According to this embodiment, by determining the area on the wind turbine blades where the ice thickness exceeds a predetermined thickness value based on the icing configuration, and using the heating power corresponding to the area range, the time for maintaining an ice-free state on the blade surface can be extended as much as possible with minimal energy consumption.

[0066] For example, in the early stages of icing, the heating start-up time of the heating device can be adjusted in a timely manner. This embodiment describes a scheme for controlling the heating power of the heating device after it is started. Specifically, multiple area intervals can be set for the area on the wind turbine blades where the ice thickness exceeds a predetermined thickness value. Each area interval corresponds to its own heating power. When the area on the wind turbine blades where the ice thickness exceeds the predetermined thickness value is within an area interval, the heating power of the heating device will be the heating power corresponding to that area interval. Of course, the heating power of the electric heating device can also be adjusted appropriately using forecasts and / or observations of temperature, humidity, and wind speed. It is not necessary to estimate the icing configuration, atmospheric liquid water content, or the average radius of atmospheric liquid water. This disclosure does not limit this. It should be noted that the above-mentioned heating device can be installed on the blades of the wind turbine, especially the leading edge of the blades, to melt the water layer on the blade surface and form a liquid water layer on the blade surface, thereby preventing ice from adhering to the blade surface and accelerating the peeling of the ice layer on the blade surface.

[0067] According to embodiments of this disclosure, the icing condition includes icing accumulation rate and icing configuration. Controlling the operation of a wind turbine based on the icing condition may include: determining the speed range where the icing accumulation rate falls, and determining a first power for the wind turbine's heating device corresponding to the speed range; determining the area on the wind turbine blades where the icing thickness exceeds a predetermined thickness value based on the icing configuration, and increasing a preset power based on the first power to obtain a second power in response to the area being within a preset area range; and adjusting the power of the wind turbine's heating device to the second power. According to this embodiment, by using a corresponding first power within the speed range where the icing accumulation rate falls, and simultaneously determining the area on the wind turbine blades where the icing thickness exceeds a predetermined thickness value based on the icing configuration, and increasing the preset power corresponding to the preset area range where the area falls, the time for maintaining an ice-free state on the blade surface can be extended as much as possible with minimal energy consumption.

[0068] For example, multiple speed ranges for icing accumulation speed can be set, each speed range corresponding to its own heating power. When the icing accumulation speed falls within a certain speed range, the heating power of the heating device is the heating power corresponding to that speed range. Multiple preset area ranges can also be set for the area on the wind turbine blades where the icing thickness exceeds a predetermined thickness value. Each preset area range corresponds to an increase in heating power, i.e., a preset power. Specifically, once the first power corresponding to the speed range where the icing accumulation speed is located is determined, the preset power corresponding to the preset area range where the icing thickness on the wind turbine blades exceeds the predetermined thickness value is further determined. At this time, the heating power of the heating device is adjusted to the sum of the first power and the preset power.

[0069] According to embodiments of this disclosure, icing conditions include icing accumulation speed and icing configuration. Controlling the operation of a wind turbine based on icing conditions may include: determining the speed range where the icing accumulation speed is located, and determining a first probability of an icing event occurring within that speed range; determining the area on the wind turbine blades where the icing thickness exceeds a predetermined thickness value based on the icing configuration, and, in response to the area being within a preset area range, increasing a preset probability based on the first probability to obtain a second probability; and, in response to the second probability being greater than a preset threshold, reducing the pitch angle of the wind turbine. According to this embodiment, by using the first probability of icing corresponding to the speed range where the icing accumulation speed is located, and simultaneously determining the area on the wind turbine blades where the icing thickness exceeds a predetermined thickness value based on the icing configuration, and increasing a preset probability corresponding to the preset area range where the area is located, if the increased first probability exceeds a preset threshold, it indicates a high probability of an icing event. In this case, the pitch angle can be adjusted to control the power of the wind turbine, thereby reducing the load on the wind turbine.

[0070] For example, multiple speed ranges for icing accumulation speed can be set, each speed range corresponding to its own probability of an icing event. Multiple preset area ranges can also be set for the area on the wind turbine blades where the ice thickness exceeds a predetermined value, each preset area range corresponding to its own probability of an icing event, i.e., a preset power. Specifically, after determining the first probability corresponding to the speed range where the icing accumulation speed falls, the preset power corresponding to the preset area range where the ice thickness on the wind turbine blades exceeds the predetermined thickness value is further determined. When the sum of the first probability and the preset probability exceeds a preset threshold, it indicates a high probability of an icing event. At this point, the blade pitch angle of the wind turbine can be reduced to control the power of the wind turbine, thereby reducing the load on the wind turbine.

[0071] Currently, there is a high probability that starting a wind turbine during an ice-covered period will fail. Even if it does start successfully, it will affect the safety of the wind turbine. Therefore, after a wind turbine is shut down due to freezing, it is not necessary to frequently attempt to start and stop the turbine.

[0072] According to embodiments of this disclosure, icing conditions include wind turbine generator shutdown due to icing. Controlling the operation of the wind turbine generator based on icing conditions may include: determining that the wind turbine generator will shut down due to icing; determining the end time of the icing period based on weather forecast data; shutting down the start-stop procedure of the wind turbine generator before the end time of the icing period; and restarting the start-stop procedure of the wind turbine generator after the end time of the icing period. According to this embodiment, the automatic execution of the start-stop procedure can be stopped during the predicted icing period to avoid frequent attempts at starting and stopping the procedure. Start-stop attempts are only resumed after the predicted icing period ends, thereby helping the wind turbine generator smoothly and safely navigate the icing period.

[0073] For example, after a wind turbine generator shuts down due to icing, weather forecast data can be used to determine when the wind turbine will no longer have the conditions for ice layer accumulation and thickening, i.e., to determine the end of the icing period. After the icing ends, the restart process can be attempted to avoid the power consumption caused by frequent restarts during the icing period. It should be noted that when the weather forecast data predicts that the icing condition of the wind turbine generator will not meet the icing conditions, it is equivalent to the end of the icing period. The conditions for not meeting the icing conditions can be that the icing accumulation rate is less than a certain value or that the area of ​​the wind turbine generator blades with an ice thickness exceeding a predetermined thickness is less than a certain value; this disclosure does not limit these possibilities.

[0074] According to embodiments of this disclosure, the heating device of the wind turbine generator is activated at a preset power during a predetermined period before the end of the freezing period. According to this embodiment, as the freezing event is about to end, the heating device on the blades is activated at an appropriate power to accelerate the shedding of ice from the blade surface, enabling the generator to resume normal operation as soon as possible.

[0075] For example, when an icing event is detected to be nearing its end, the blade heating device can be activated at an appropriate power to accelerate the shedding of ice from the blade surface, allowing the unit to resume normal operation as soon as possible. The aforementioned appropriate power can be preset, and this disclosure does not limit its specific application.

[0076] To facilitate understanding of the above embodiments, the following is in conjunction with... Figure 2 Provide a systematic explanation. Figure 2 This is a flowchart illustrating the operation control method of the wind turbine generator set disclosed herein, such as... Figure 2As shown in this embodiment, a method for controlling the operation of a wind farm under freezing conditions using meteorological data is presented. Specifically, the operation control strategy of the wind turbine generator is adjusted in real time using meteorological data to optimize the operation of the wind turbine generator's anti-icing system. Specifically, meteorological forecast data and meteorological observation data can be acquired. The meteorological forecast data includes conventional forecast quantities such as temperature, pressure, humidity, and wind speed, as well as diagnostic forecast quantities such as atmospheric liquid water characteristics. The meteorological observation data includes conventional observation quantities such as temperature, pressure, humidity, and wind speed, and may also include diagnostic observation quantities such as atmospheric visibility and atmospheric liquid water characteristics. The meteorological forecast data and meteorological observation data are input into the wind farm operation control system. Based on the meteorological forecast data and meteorological observation data, the wind farm operation control system determines the icing situation of the wind turbine generator and controls the blade heating and de-icing system (such as the heating device in the above embodiment) and the blade pitch angle of the wind turbine generator based on the icing situation. In addition, the power status of wind turbine generators can be analyzed through a Supervisory Control and Data Acquisition (SCADA) system. The analyzed power status is then input into the station's operation control system. When the station's operation control system detects a power reduction event, it can control the start-up and shutdown of the wind turbine generators based on the power reduction event. For example, if the power reduction event is an ice event, the start-up and shutdown process can be stopped before the ice ends and restarted after the ice ends.

[0077] In summary, this disclosure incorporates meteorological forecast data and meteorological observation data into the icing control program for wind turbine generators, thereby optimizing the operating status of wind turbine generators during freezing periods. Since icing conditions (such as cumulative icing velocity and icing configuration) are related to atmospheric liquid water content, the average radius of atmospheric liquid water, and wind speed, this disclosure establishes a link between icing-related environmental information such as atmospheric liquid water content, the average radius of atmospheric liquid water, and wind speed, and the operating control strategy of the wind turbine generators. That is, based on icing-related environmental information such as atmospheric liquid water content, the average radius of atmospheric liquid water, and wind speed, the icing condition of the wind turbine generators can be determined, and the operating strategies of the wind turbine generators themselves and the de-icing auxiliary devices can be adjusted accordingly.

[0078] Figure 3 This is a block diagram illustrating the operation control device of the wind turbine generator set disclosed herein, such as... Figure 3 As shown, the device includes an acquisition unit 30, a prediction unit 32, and a control unit 34.

[0079] The acquisition unit 30 is configured to acquire meteorological forecast data of the environment in which the wind turbine is located; the prediction unit 32 is configured to predict the icing situation of the wind turbine based on the meteorological forecast data; and the control unit 34 is configured to control the operation of the wind turbine based on the icing situation.

[0080] According to embodiments of this disclosure, the control unit 34 is further configured to acquire atmospheric liquid water content and average radius of atmospheric liquid water based on weather forecast data; and to predict the icing situation of the wind turbine based on atmospheric liquid water content and average radius of atmospheric liquid water.

[0081] According to embodiments of this disclosure, the icing condition includes icing accumulation speed, wherein the control unit 34 is further configured to determine the speed range in which the icing accumulation speed is located; adjust the power of the heating device of the wind turbine generator to the power corresponding to the speed range; and / or determine the speed range in which the icing accumulation speed is located and the probability of the wind turbine generator corresponding to the speed range experiencing an icing event; and reduce the pitch angle of the wind turbine generator in response to the probability being greater than a preset threshold.

[0082] According to embodiments of this disclosure, the icing condition includes an icing configuration, wherein the control unit 34 is further configured to determine, based on the icing configuration, the area on the blades of the wind turbine generator where the icing thickness exceeds a predetermined thickness value; and in response to the area being within a preset area range, to adjust the power of the heating device of the wind turbine generator to the power corresponding to the preset area range.

[0083] According to embodiments of this disclosure, the icing condition includes icing accumulation speed and icing configuration. The control unit 34 is further configured to determine the speed range in which the icing accumulation speed is located, and to determine a first power of the heating device of the wind turbine generator corresponding to the speed range; to determine the area on the blades of the wind turbine generator where the icing thickness exceeds a predetermined thickness value based on the icing configuration, and to increase a preset power by a preset power in response to the area being within a preset area range, thereby obtaining a second power; and to adjust the power of the heating device of the wind turbine generator to the second power.

[0084] According to embodiments of this disclosure, the icing situation includes icing accumulation speed and icing configuration. The control unit 34 is further configured to determine the speed range in which the icing accumulation speed is located, and to determine a first probability that the wind turbine generator set will experience an icing event within the speed range; to determine the area on the blades of the wind turbine generator set where the icing thickness exceeds a predetermined thickness value based on the icing configuration, and to increase a preset probability based on the first probability in response to the area being within a preset area range, thereby obtaining a second probability; and to reduce the pitch angle of the wind turbine generator set in response to the second probability being greater than a preset threshold.

[0085] According to embodiments of this disclosure, the icing situation includes a wind turbine generator set freezing shutdown situation, wherein the control unit 34 is further configured to: determine the wind turbine generator set freezing shutdown; determine the freezing end time based on weather forecast data; shut down the wind turbine generator set start-up and shutdown process before the freezing end time; and start the wind turbine generator set start-up and shutdown process at the freezing end time.

[0086] According to an embodiment of this disclosure, the control unit 34 is also configured to start the heating device of the wind turbine generator at a preset power during a predetermined time period before the end of the freezing period.

[0087] According to embodiments of this disclosure, the prediction unit 32 is further configured to acquire meteorological observation data of the environment in which the wind turbine is located; and to predict the icing situation of the wind turbine based on the meteorological forecast data and the meteorological observation data.

[0088] According to embodiments of the present disclosure, a computer-readable storage medium for storing instructions is provided, wherein when the instructions are executed by at least one computing device, they cause at least one computing device to perform the wind turbine generator operation control method as described in any of the above embodiments.

[0089] According to embodiments of the present disclosure, a system is provided that includes at least one computing device and at least one storage device storing instructions, wherein the instructions, when executed by at least one computing device, cause at least one computing device to perform the operation control method of a wind turbine generator as described in any of the above embodiments.

[0090] According to embodiments of this disclosure, a wind turbine generator set is also provided, including the wind turbine generator set operation control device as described above.

[0091] While some embodiments of this disclosure have been shown and described, those skilled in the art will understand that modifications may be made to these embodiments without departing from the principles and spirit of this disclosure, which are defined by the claims and their equivalents.

Claims

1. A method for operating and controlling a wind turbine generator set, characterized in that, include: Obtain meteorological forecast data for the environment where the wind turbine generator is located; Based on the meteorological forecast data, the icing situation of the wind turbine generator set is predicted; Based on the icing situation, control the operation of the wind turbine generator set; The icing conditions include icing accumulation rate and icing configuration. Controlling the operation of the wind turbine generator based on the icing conditions includes: Determine the speed range in which the icing accumulation rate is located, and determine the first probability of the wind turbine generator set experiencing an icing event within the speed range; Based on the icing configuration, the area on the blades of the wind turbine generator that has an icing thickness exceeding a predetermined thickness value is determined, and in response to the area being within a preset area range, a preset probability is added to the first probability to obtain a second probability. In response to the second probability being greater than a preset threshold, the pitch angle of the wind turbine generator is reduced.

2. The operation control method as described in claim 1, characterized in that, The prediction of icing conditions for wind turbine generators based on the aforementioned meteorological forecast data includes: Based on the aforementioned meteorological forecast data, the atmospheric liquid water content and the average radius of atmospheric liquid water are obtained; Based on the atmospheric liquid water content and the average radius of the atmospheric liquid water, the icing situation of the wind turbine generator is predicted.

3. The operation control method as described in claim 1, characterized in that, The icing conditions include the rate of icing accumulation. The step of controlling the operation of the wind turbine generator based on the icing situation includes: Determine the speed range in which the icing accumulation rate falls; The power of the heating device of the wind turbine generator set is adjusted to correspond to the speed range; And / or, Determine the speed range in which the icing accumulation rate falls and the probability of an icing event occurring in the wind turbine generator corresponding to the speed range; In response to the probability being greater than a preset threshold, the pitch angle of the wind turbine generator is reduced.

4. The operation control method as described in claim 1, characterized in that, The icing conditions include icing configurations. The step of controlling the operation of the wind turbine generator based on the icing situation includes: Based on the icing configuration, determine the area on the blades of the wind turbine generator where the icing thickness exceeds a predetermined thickness value; In response to the area being within a preset area range, the power of the heating device of the wind turbine generator is adjusted to the power corresponding to the preset area range.

5. The operation control method as described in claim 1, characterized in that, The icing conditions include the icing accumulation rate and the icing configuration. The step of controlling the operation of the wind turbine generator based on the icing situation includes: Determine the speed range in which the icing accumulation rate falls, and determine the first power of the heating device of the wind turbine generator corresponding to the speed range; Based on the icing configuration, the area on the blades of the wind turbine generator set where the icing thickness exceeds a predetermined thickness value is determined, and in response to the area being within a preset area range, a preset power is added to the first power to obtain a second power. The power of the heating device of the wind turbine generator set is adjusted to the second power.

6. The operation control method as described in claim 1, characterized in that, The icing situation includes the wind turbine generator set freezing and shutting down. The step of controlling the operation of the wind turbine generator based on the icing situation includes: The wind turbine generator set was determined to be shut down due to freezing. Based on the aforementioned meteorological forecast data, the end time of the freezing period is determined; Before the end of the freezing period, shut down the start-up and shutdown procedures of the wind turbine generator set. At the end of the freezing period, the start-up and shutdown process of the wind turbine generator set is initiated.

7. The operation control method as described in claim 6, characterized in that, Also includes: The heating device of the wind turbine is started at a preset power during a predetermined time period before the end of the freezing period.

8. The operation control method as described in claim 1, characterized in that, The prediction of icing conditions for the wind turbine generator based on the meteorological forecast data includes: Obtain meteorological observation data of the environment where the wind turbine generator is located; Based on the meteorological forecast data and the meteorological observation data, the icing situation of the wind turbine generator is predicted.

9. An operation control device for a wind turbine generator set, characterized in that, include: The acquisition unit is configured to acquire meteorological forecast data of the environment in which the wind turbine is located; The prediction unit is configured to predict the icing situation of the wind turbine based on the weather forecast data. The control unit is configured to control the operation of the wind turbine generator set based on the icing conditions. The icing condition includes icing accumulation rate and icing configuration. The control unit is further configured to determine the speed range in which the icing accumulation rate is located, and to determine a first probability that the wind turbine will experience an icing event within the speed range; to determine the area on the blades of the wind turbine that has an icing thickness exceeding a predetermined thickness value based on the icing configuration, and to increase a preset probability by a second probability based on the first probability in response to the area being within a preset area range; and to decrease the pitch angle of the wind turbine in response to the second probability being greater than a preset threshold.

10. A computer-readable storage medium for storing instructions, characterized in that, When the instruction is executed by at least one computing device, it causes the at least one computing device to perform the wind turbine generator operation control method as described in any one of claims 1 to 8.

11. A system comprising at least one computing device and at least one storage device for storing instructions, characterized in that, When the instruction is executed by the at least one computing device, it causes the at least one computing device to perform the wind turbine generator operation control method as described in any one of claims 1 to 8.

12. A wind turbine generator set, characterized in that, It includes the operation control device for the wind turbine generator set as described in claim 9.

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