Operation state control method and system of wind turbine generator

Abstract

The invention discloses an operation state control method and system for a wind turbine generator, and the method comprises the steps: determining the time period of future freezing of a wind power plant and the freezing strength of the time period through meteorological freezing early warning data, and considering that different freezing strengths represent different degrees of freezing risks; the operation state of the wind turbine generator is controlled based on the threshold parameter corresponding to the freezing time period, so that the safety risk caused by freezing weather to a wind power plant can be reduced, and the operation safety of the wind turbine generator is improved. In addition, the operation state of the wind turbine generator can be accurately and flexibly adjusted according to the freezing strength, and different threshold parameters can be used for different freezing strength to adapt to different freezing conditions.

Description

Technical Field

[0001] The present application relates to the field of wind power technology, and in particular to a method and system for controlling the operating status of a wind turbine generator set. Background Art

[0002] Icing of wind turbines has a strong adverse effect on the safe operation of wind turbines in winter. When the wind turbine blades are frozen, the aerodynamic configuration of the blades changes, which will lead to a decrease in the operating power of the wind turbine and an increase in the operating load of the wind turbine. As the diameter of the wind turbine impeller gradually increases, the impact of icing on the wind turbine load becomes stronger. At the same time, as the proportion of wind power installed capacity in the total installed capacity gradually increases and electricity trading gradually becomes market-oriented, large-scale wind turbine shutdowns caused by freezing of wind turbines in winter may cause short-term and drastic fluctuations in electricity prices.

[0003] In view of this, further research and discussion is needed on how to control the operation of wind turbines during freezing periods to reduce the safety risks posed by freezing weather to wind farms. Summary of the invention

[0004] The present application provides a method and system for controlling the operating state of a wind turbine generator set, which is helpful to improve the safety of the wind turbine generator set in freezing weather. The technical solution is as follows.

[0005] In a first aspect, a method for controlling an operating state of a wind turbine is provided, the method comprising:

[0006] Acquire meteorological freezing warning data of the wind farm, wherein the meteorological freezing warning data includes a freezing time period and a freezing intensity corresponding to the freezing time period;

[0007] In response to the current time segment entering the freezing time period, the operating state of the wind turbines in the wind farm is controlled based on a threshold parameter corresponding to the freezing intensity.

[0008] In some embodiments, controlling the operating state of the wind turbines in the wind farm based on the threshold parameter corresponding to the freezing intensity includes at least one of the following:

[0009] Controlling the start-up operation of the wind turbines in the wind farm based on the start-up threshold corresponding to the freezing intensity, wherein the start-up threshold includes at least one of a first temperature threshold, a temperature rise threshold, a first impeller speed threshold, or a wind speed-power relationship threshold; or

[0010] Controlling the shutdown of the wind turbines in the wind farm based on the shutdown threshold corresponding to the freezing intensity, wherein the shutdown threshold includes at least one of a second temperature threshold, a temperature drop amplitude threshold, a first impeller speed threshold, or a wind speed power relationship threshold; or,

[0011] adjusting the operating power of the wind turbines in the wind farm based on the power reduction ratio corresponding to the freezing intensity; or,

[0012] The pitch angle of the wind turbine generator set of the wind farm is adjusted based on the pitch angle corresponding to the freezing intensity.

[0013] In some implementations, obtaining meteorological freezing warning data of a wind farm includes:

[0014] Based on weather forecast data, obtaining meteorological freezing warning data of the wind farm; or,

[0015] Based on the environmental parameters of the wind farm, obtaining meteorological freezing warning data of the wind farm, wherein the environmental parameters include at least one of temperature, humidity, wind speed, cloud concentration or environmental visibility; or,

[0016] Based on the weather forecast data and the environmental parameters, meteorological freezing warning data of the wind farm is obtained.

[0017] In some embodiments, obtaining meteorological freezing warning data of the wind farm based on the weather forecast data and the environmental parameters includes:

[0018] Based on the weather forecast data, obtaining a first freezing time period during which freezing occurs in the wind farm;

[0019] Based on the environmental parameters, obtaining a second freezing time period in which freezing of the wind farm occurs;

[0020] The first freezing time period is adjusted based on the second freezing time period to obtain a freezing time period during which freezing occurs in the wind farm.

[0021] In some implementations, obtaining meteorological freezing warning data of a wind farm includes:

[0022] Obtaining the ratio of the number of wind turbines affected by freezing in the wind farm to the total number of wind turbines in the wind farm as the freezing intensity; or,

[0023] Obtaining a ratio of reduction in power generation of wind turbines affected by icing in the wind farm as the icing intensity; or,

[0024] The freezing intensity is obtained by linearly combining the ratio of the number of wind turbines affected by freezing in the wind farm to the total number of turbines in the wind farm and the ratio of the reduction in power generation.

[0025] In some embodiments, the method further comprises:

[0026] Based on the meteorological freezing warning data and the wind power forecast data, the freezing loss power generation of the wind farm in the freezing time period is obtained, wherein the wind power forecast data indicates the estimated power generation generated by the wind farm based on the wind speed corresponding to the freezing time period, and the freezing loss power generation refers to the power generation loss caused by the wind farm during the freezing time period due to shutdown or power reduction;

[0027] Anti-icing control is performed on the wind farm during the freezing period based on the freezing loss power generation.

[0028] In some embodiments, the freezing intensity of the wind farm includes the proportion of wind turbines shut down due to freezing in the wind farm, the freezing loss power generation includes shutdown loss power generation, and obtaining the freezing loss power generation of the wind farm in the freezing time period based on the meteorological freezing warning data and the wind power forecast data includes:

[0029] Based on the duration of the freezing period and the proportion of wind turbines shut down due to freezing in the wind farm, the shutdown loss power generation is obtained, and the shutdown loss power generation refers to the power generation loss caused by shutdown of the wind farm during the freezing period.

[0030] In some embodiments, the freezing intensity of the wind farm includes the proportion of wind turbines in the wind farm that are affected by freezing and have their power reduced, the freezing power generation loss includes the power reduction power generation loss, and obtaining the freezing power generation loss of the wind farm in the freezing time period based on the meteorological freezing warning data and the wind power forecast data includes:

[0031] Based on the wind power prediction data and the duration of the freezing period, obtaining a first estimated power generation of the wind farm, wherein the first estimated power generation refers to the power generation that can be generated by the wind farm at the wind speed when no freezing occurs;

[0032] Based on the duration of the freezing period, the proportion of the wind turbines that are affected by freezing and have their power reduced, and the power reduction ratio, a second estimated power generation is obtained, wherein the second estimated power generation refers to the power generation that can be generated by the wind farm based on the reduced power operation;

[0033] Based on the first estimated power generation and the second estimated power generation, a power reduction loss power generation is acquired, where the power reduction loss power generation refers to a power generation loss caused by power reduction of the wind farm during the freezing period.

[0034] In some embodiments, performing anti-icing control on the wind farm during the freezing period based on the freezing loss power generation includes:

[0035] Determining a time point for starting the deicing operation based on the freezing loss power generation and the cost of the deicing operation;

[0036] The de-icing operation is started at the time point.

[0037] In some embodiments, performing anti-icing control on the wind farm during the freezing period based on the freezing loss power generation includes:

[0038] Based on the historical load data of the wind farm, the freezing time period, the freezing intensity, the freezing loss power generation and the cost of the energy storage device, obtaining the electricity price fluctuation trend during the freezing time period;

[0039] Based on the electricity price fluctuation trend, an electricity trading strategy is output.

[0040] In some embodiments, after obtaining the meteorological freezing warning data of the wind farm, the method further includes:

[0041] An energy storage device is configured based on the meteorological freezing warning data, and the energy storage device is electrically connected to the wind turbines in the wind farm.

[0042] In some embodiments, configuring the energy storage device based on the meteorological freezing warning data includes at least one of the following:

[0043] Controlling the wind turbines in the wind farm to charge the energy storage device before the freezing period;

[0044] Controlling the energy storage device to supply electric energy to the power grid during the freezing period; or,

[0045] The energy storage capacity of the energy storage device is configured based on the length of the freezing period and the freezing intensity.

[0046] In some embodiments, after obtaining the meteorological freezing warning data of the wind farm, the method further includes:

[0047] Based on the meteorological freezing warning data, freezing safety warning information is issued at the wind farm, and the freezing safety warning information includes the freezing time period and the freezing intensity.

[0048] In a second aspect, a wind turbine operation status control system is provided, the system comprising a prediction server, an anti-icing control server, and a wind turbine deployed in the wind farm, the prediction server, the anti-icing control server, and the wind turbine being connected via a communication network;

[0049] The prediction server is used to obtain meteorological freezing warning data of the wind farm, wherein the meteorological freezing warning data includes a freezing time period and a freezing intensity corresponding to the freezing time period;

[0050] The anti-icing control server is used to control the operating state of the wind turbine generator set based on the threshold parameter corresponding to the freezing intensity in response to the current time segment entering the freezing time period.

[0051] In some embodiments, the anti-icing control server is used to send a startup control instruction to the wind turbine generator set based on a startup threshold corresponding to the freezing intensity, or send a shutdown control instruction to the wind turbine generator set based on a shutdown threshold corresponding to the freezing intensity, or send a power reduction instruction to the wind turbine generator set based on a power reduction ratio corresponding to the freezing intensity, or send a pitch angle adjustment instruction to the wind turbine generator set based on a pitch angle corresponding to the freezing intensity;

[0052] The wind turbine generator set is used to control the start-up operation of the wind turbine generator set in response to the start-up control instruction, and the start-up threshold includes at least one of a first temperature threshold, a temperature rise amplitude threshold, a first impeller speed threshold, or a wind speed-power relationship threshold; or, in response to the shutdown control instruction, control the shutdown of the wind turbine generator set, and the shutdown threshold includes at least one of a second temperature threshold, a temperature drop amplitude threshold, a first impeller speed threshold, or a wind speed-power relationship threshold; or, in response to the power reduction instruction, adjust the operating power of the wind turbine generator set of the wind farm; or, in response to the pitch angle adjustment instruction, adjust the pitch angle of the wind turbine generator set.

[0053] In some embodiments, the system further comprises at least one of a meteorological cloud platform or a sensor;

[0054] The meteorological cloud platform is deployed in a cloud environment, and the meteorological cloud platform is used to provide weather forecast data;

[0055] The sensor is deployed in the wind farm, and the sensor is used to collect environmental parameters of the wind farm;

[0056] The prediction server is used to receive weather forecast data from the meteorological cloud platform, and obtain meteorological freezing warning data of the wind farm based on the weather forecast data; or, receive environmental parameters of the wind farm from the sensor, the environmental parameters including at least one of temperature, humidity, wind speed, cloud concentration or environmental visibility, and obtain meteorological freezing warning data of the wind farm based on the environmental parameters; or, obtain meteorological freezing warning data of the wind farm based on the weather forecast data and the environmental parameters.

[0057] In some embodiments, the prediction server is used to obtain a first freezing time period when the wind farm freezes based on the weather forecast data; obtain a second freezing time period when the wind farm freezes based on the environmental parameters; and adjust the first freezing time period based on the second freezing time period to obtain the freezing time period when the wind farm freezes.

[0058] In some embodiments, the prediction server is used to obtain the ratio of the number of wind turbines affected by freezing in the wind farm to the total number of wind turbines in the wind farm as the freezing intensity; or, obtain the ratio of the reduction in power generation of the wind turbines affected by freezing in the wind farm as the freezing intensity; or, linearly combine the ratio of the number of wind turbines affected by freezing in the wind farm to the total number of wind turbines in the wind farm and the ratio of the reduction in power generation to obtain the freezing intensity.

[0059] In some embodiments, the anti-icing control server is used to obtain the freezing loss power generation of the wind farm during the freezing time period based on the meteorological freezing warning data and the wind power forecast data, the wind power forecast data indicates the estimated power generation generated by the wind farm based on the wind speed corresponding to the freezing time period, and the freezing loss power generation refers to the power generation loss caused by shutdown or power reduction of the wind farm during the freezing time period; anti-icing control is performed on the wind farm during the freezing time period based on the freezing loss power generation.

[0060] In some embodiments, the freezing intensity of the wind farm includes the proportion of wind turbines that are shut down due to freezing in the wind farm, and the freezing loss power generation includes the shutdown loss power generation. The anti-icing control server is used to obtain the shutdown loss power generation based on the duration of the freezing time period and the proportion of wind turbines that are shut down due to freezing in the wind farm, and the shutdown loss power generation refers to the power generation loss caused by shutdown of the wind farm during the freezing time period.

[0061] In some embodiments, the freezing intensity of the wind farm includes the proportion of wind turbines in the wind farm that are affected by freezing and have their power reduced, and the freezing loss power generation includes the power reduction loss power generation, and the anti-icing control server is used to obtain a first estimated power generation of the wind farm based on the wind power prediction data and the length of the freezing time period, the first estimated power generation refers to the power generation that the wind farm can generate based on the wind speed operation when no freezing occurs; based on the length of the freezing time period, the proportion of wind turbines that are affected by freezing and have their power reduced, and the power reduction ratio, obtain a second estimated power generation, the second estimated power generation refers to the power generation that the wind farm can generate based on the reduced power operation; based on the first estimated power generation and the second estimated power generation, obtain the power generation loss with reduced power, the power loss with reduced power refers to the power generation loss of the wind farm due to power reduction during the freezing time period.

[0062] In some implementations, the anti-icing control server is used to determine a time point for starting the deicing operation based on the freezing loss power generation and the cost of the deicing operation; and to start executing the deicing operation at the time point.

[0063] In some embodiments, the anti-icing control server is used to obtain the electricity price fluctuation trend during the freezing time period based on the historical load data of the wind farm, the freezing time period, the freezing intensity, the freezing loss power generation, and the overhead of the energy storage device; and output an electricity trading strategy based on the electricity price fluctuation trend.

[0064] In some embodiments, the system further includes an energy storage device, the anti-icing control server is used to configure the energy storage device based on the meteorological ice warning data, and the energy storage device is electrically connected to the wind turbines in the wind farm.

[0065] In some embodiments, the anti-icing control server is used to control the wind turbines in the wind farm to charge the energy storage device before the freezing time period; control the energy storage device to supply electric energy to the power grid during the freezing time period; or configure the energy storage capacity of the energy storage device based on the length of the freezing time period and the freezing intensity.

[0066] In some embodiments, the anti-icing control server is used to issue freezing safety warning information at the wind farm based on the meteorological freezing warning data, and the freezing safety warning information includes the freezing time period and the freezing intensity.

[0067] In a third aspect, a computing device is provided, the computing device comprising a processor, the processor being coupled to a memory, the memory storing at least one computer program instruction, the at least one computer program instruction being loaded and executed by the processor, so that the computing device implements the method provided in the first aspect or any optional manner of the first aspect. The specific details of the computing device provided in the third aspect can be found in the first aspect or any optional manner of the first aspect, and will not be repeated here.

[0068] In a fourth aspect, a computer-readable storage medium is provided, wherein at least one instruction is stored in the storage medium. When the instruction is executed on a computer, the computer executes the method provided by the first aspect or any optional manner of the first aspect.

[0069] In a fifth aspect, a computer program product is provided, which includes one or more computer program instructions. When the computer program instructions are loaded and executed by a computer, the computer executes the method provided by the first aspect or any optional manner of the first aspect.

[0070] It can be seen that the embodiments of the present application have the following beneficial effects:

[0071] The meteorological freezing warning data can be used to identify the time period when freezing will occur in the wind farm in the future and the freezing intensity during that period. Considering that different freezing intensities represent different degrees of freezing risks, the operating status of the wind turbine can be controlled based on the threshold parameters corresponding to the freezing time period, thereby reducing the safety risks caused by freezing weather to the wind farm and improving the safety of wind turbine operation. In addition, it supports accurate and flexible adjustment of the operating status of the wind turbine according to the freezing intensity, and different threshold parameters can be used for different freezing intensities to adapt to different freezing conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] Figure 1 is a flow chart of a method for controlling the operating state of a wind turbine set provided in an embodiment of the present application;

[0073] Figure 2 This is a flow chart of controlling freezing of a wind farm based on meteorological freezing warning data provided by this embodiment;

[0074] Figure 3 is an architecture diagram of a wind farm de-icing control system 300 provided in this embodiment;

[0075] Figure 4 is a software framework diagram of a wind farm control system provided in this embodiment;

[0076] Figure 5This is a framework diagram of a wind farm freezing period power transaction auxiliary management system provided by this embodiment;

[0077] Figure 6 This is a software framework diagram of a wind farm control system provided in this embodiment. DETAILED DESCRIPTION

[0078] In order to make the objectives, technical solutions and advantages of the present application clearer, the implementation methods of the present application will be further described in detail below with reference to the accompanying drawings.

[0079] Attached Figure 1 1 is a flow chart of a method for controlling the operating state of a wind turbine set provided in an embodiment of the present application. Figure 1 The method is applied to an anti-icing control system. The anti-icing control system includes at least one computing device, and the computing device includes a server or a terminal. The method includes:

[0080] S110, obtaining meteorological freezing warning data of the wind farm and wind power forecast data of the wind farm.

[0081] Meteorological freezing warning data includes freezing time period and freezing intensity corresponding to freezing time period. The freezing time period refers to the time period when freezing will occur in the wind farm in the future.

[0082] The following is an explanation of the three methods of obtaining meteorological freezing warning data.

[0083] Method A: Based on weather forecast data, obtain meteorological freezing warning data for wind farms.

[0084] In an exemplary embodiment, method A includes the following steps (1) to (5).

[0085] Step (1) Obtain weather forecast data.

[0086] For example, obtain weather forecast data for the area where the wind farm is located from a reliable meteorological agency or service provider. These data include relevant parameters such as temperature, humidity, precipitation, and wind speed.

[0087] Step (2) analyzes weather forecast data.

[0088] For example, various forecast information such as temperature, humidity, precipitation, freezing rain, visibility, etc. are extracted from the acquired weather forecast data, which can be temperature data per hour, per day, or at specific time intervals.

[0089] Step (3) determines the freezing threshold.

[0090] For example, according to the characteristics of the wind farm and equipment requirements, an appropriate threshold value of various forecast data such as temperature, humidity, precipitation, cloud cover, freezing rain, visibility, etc. is determined to determine whether freezing may occur. The expression of the threshold value is not limited to the forecast value itself, but also includes but is not limited to the threshold value of the duration of a period below a certain temperature and above a certain humidity, the temperature rise rate threshold, the temperature drop rate threshold, and other threshold values ​​obtained by combining multiple forecast values. For the setting of the threshold value, for example, for temperature, generally, a lower temperature threshold value indicates a higher probability of freezing.

[0091] Step (4) analyzes the temperature data and the freezing threshold.

[0092] For example, temperature data is compared to a freezing threshold and time periods where the temperature is below the freezing threshold are identified. These time periods represent time periods when freezing is likely to occur.

[0093] Step (5) determines the freezing time period.

[0094] For example, based on the analysis results, determine the time period in the future when freezing may occur. The freezing time period can be determined based on the continuous low temperature time period or the time period when low temperature occurs frequently.

[0095] Through method A, by using weather forecast data as a basis, meteorological freezing warning data for a period of time in the future can be obtained. Weather forecasts are usually provided by professional meteorological agencies and have high accuracy and credibility. In addition, since weather forecast data is generated based on professional meteorological models and data analysis, it is relatively less affected by environmental parameters, thus reducing the possibility of false alarms.

[0096] Method B: obtaining meteorological freezing warning data of the wind farm based on the environmental parameters of the wind farm, where the environmental parameters include at least one of temperature, humidity, wind speed, cloud concentration or environmental visibility.

[0097] Regarding the method of acquiring environmental parameters, in a possible implementation, the anti-icing control system includes sensors deployed in the wind farm, and the sensors collect temperature, humidity, wind speed, cloud concentration or environmental visibility.

[0098] The temperature in the wind farm can be obtained by, for example, deploying temperature sensors, thermometers, infrared thermometers, etc. in the wind farm. These instruments can measure the temperature in the wind farm and convert it into a digital or analog signal.

[0099] The way to obtain the humidity in the wind farm is, for example, to deploy humidity sensors in the wind farm, such as humidity sensor chips, hygrometers, etc. They can measure the humidity and moisture content in the environment and output corresponding humidity values.

[0100] The wind speed in a wind farm can be obtained by, for example, deploying wind speed sensors or anemometers in the wind farm. These instruments can measure the wind speed in the air and convert it into a digital or analog signal to provide accurate wind speed data.

[0101] The cloud concentration in the wind farm can be obtained by, for example, deploying optical instruments in the wind farm, such as laser radar, light scattering instrument, photodiode, etc. These instruments use optical principles to measure the concentration and distribution of cloud particles.

[0102] The visibility of the environment in the wind farm can be obtained by, for example, deploying instruments such as visible light sensors, light scatterers or laser rangefinders in the wind farm, which can measure the degree of visible light penetration in the environment, thereby estimating the visibility of the environment.

[0103] The method of obtaining the freezing time period based on the environmental parameters is described below with examples in combination with each specific environmental parameter.

[0104] Temperature: Low temperature is one of the main conditions for freezing. When the temperature drops to near or below the freezing point of water (0°C), freezing may occur. Therefore, the temperature change can be collected and a temperature threshold can be set. When the threshold is exceeded, it can be determined as a time period when freezing may occur.

[0105] Humidity: Humidity is one of the important factors that determine the formation of ice. When the humidity in the air is high, water is more likely to condense into ice. Therefore, under high humidity conditions, especially in low temperature environments, ice may occur. By collecting humidity, when the humidity exceeds the set threshold, it can be determined as a time period when ice may occur.

[0106] Wind speed: Wind speed has a certain impact on the occurrence and accumulation of ice. Lower wind speeds will cause cold air to stay on the fan blades, promoting the formation of ice. Therefore, under low wind speed conditions, especially in low temperature environments, ice may occur. By collecting wind speed, when the wind speed is lower than the set threshold, it can be determined as a time period when ice may occur.

[0107] Cloud concentration and environmental visibility: There is a certain relationship between cloud concentration and environmental visibility and freezing time periods. When there is a higher concentration of cloud or visibility in the air, it may mean potential conditions for moisture in the atmosphere to condense into ice. By monitoring the changes in cloud concentration and environmental visibility, when they exceed the set threshold, it can be determined as a time period when freezing may occur.

[0108] By comprehensively utilizing environmental parameters such as temperature, humidity, wind speed, cloud concentration, and environmental visibility, a comprehensive judgment can be made as to whether freezing may occur. According to the set threshold, when multiple parameters simultaneously meet or exceed the set threshold, it can be judged as a time period when freezing may occur. Such a comprehensive judgment can improve the accuracy of freezing warnings and avoid false alarms or missed alarms. At the same time, according to the characteristics and requirements of specific wind farms, the thresholds of various parameters can be adjusted and optimized to adapt to different environmental conditions and freezing risks.

[0109] Through method B, the current meteorological freezing conditions can be obtained more accurately by collecting environmental parameters such as temperature, humidity, wind speed, and cloud concentration inside the wind farm. These parameters directly reflect the actual environmental status of the wind farm and improve the accuracy of the early warning data. In addition, using the environmental parameters collected inside the wind farm as a basis, it is possible to more accurately determine whether there is freezing conditions, reducing the probability of false alarms caused by inaccurate external weather forecasts.

[0110] Method C: obtaining meteorological freezing warning data of the wind farm based on weather forecast data and environmental parameters.

[0111] For example, based on weather forecast data, a first freezing time period during which the wind farm freezes is obtained; based on environmental parameters, a second freezing time period during which the wind farm freezes is obtained; based on the second freezing time period, the first freezing time period is adjusted to obtain a freezing time period during which the wind farm freezes.

[0112] The first freezing time period refers to a time period during which freezing may occur in the wind farm, which is obtained based on weather forecast data. The second freezing time period refers to a time period during which freezing may occur in the wind farm, which is obtained based on internal environmental parameters of the wind farm.

[0113] Regarding the manner of adjusting the first freezing time period based on the second freezing time period, for example, the second freezing time period is compared with the first freezing time period. If the second freezing time period is completely included in the first freezing time period, then the freezing time period does not need to be adjusted. If the second freezing time period overlaps or partially overlaps with the first freezing time period, if the start time of the second freezing time period is earlier than the start time of the first freezing time period, the start time of the first freezing time period can be adjusted to the start time of the second freezing time period. If the end time of the second freezing time period is later than the end time of the first freezing time period, the end time of the first freezing time period can be adjusted to the end time of the second freezing time period.

[0114] By appropriately adjusting the second freezing time period to the first freezing time period, the freezing time period during which freezing occurs in the wind farm can be determined more accurately. Such adjustment can be flexibly performed according to actual conditions to improve the accuracy and reliability of the prediction.

[0115] By combining weather forecast data with environmental parameters within the wind farm, the external weather trends and internal environmental conditions can be comprehensively considered to improve the accuracy of meteorological freezing warning data. In addition, by comprehensively analyzing information from different data sources, the freezing situation can be more comprehensively assessed and the possibility of false alarms can be reduced. At the same time, combining multiple data sources can better identify and exclude abnormal data, further improving the accuracy of judgments.

[0116] Overall, method C has higher accuracy and lower false alarm risk than methods A and B. By comprehensively utilizing weather forecast data and internal environmental parameters of wind farms, meteorological freezing warning data can be obtained more comprehensively and accurately, improving the ability to judge and warn of freezing conditions.

[0117] Ice intensity is an indicator used to measure the degree to which a wind farm is affected by ice. Ice intensity can be determined in any of the following three ways.

[0118] Method 1 for determining the freezing intensity: Determine the freezing intensity based on the proportion of the number of units affected.

[0119] The intensity of freezing can be measured by the ratio of the number of wind turbines affected by freezing to the total number of wind turbines in the wind farm. If the ratio of the number of wind turbines affected by freezing is high, it means that the freezing has a wide range and the freezing intensity is high.

[0120] In a possible implementation, the ratio of the number of wind turbines affected by freezing in the wind farm to the total number of wind turbines in the wind farm is obtained as the freezing intensity. For example, a wind farm has a total of 100 wind turbines, of which 30 are shut down due to freezing. The freezing intensity is determined based on the ratio of the number of affected wind turbines, and the freezing intensity can be determined to be 30%.

[0121] By determining the intensity of ice frost based on the ratio of the number of units affected, a simple and effective indicator can be provided to better evaluate and respond to the impact of ice frost on the operation of wind farms. Specifically, the ratio of the number of units affected can quickly assess the extent of the impact of ice frost on the wind farm without having to analyze the specific situation of each unit in detail. In addition, the ratio can intuitively reflect the proportion of the number of units affected by ice frost in the entire wind farm, helping to better understand the scope of the impact of ice frost. In addition, the ratio of the number of units affected can be used as part of other indicators and comprehensively evaluated with indicators such as the reduction ratio of power generation to provide more comprehensive information on ice frost intensity.

[0122] The second method for determining the freezing intensity is to determine the freezing intensity according to the proportion of the reduction in the power generation of the wind turbines affected by freezing.

[0123] If the power generation capacity is reduced at a high rate, it means that the freezing has had a significant impact on the power generation capacity of the wind farm and the freezing intensity is high.

[0124] In a possible implementation, the proportion of power reduction of wind turbines affected by freezing in a wind farm is obtained as the freezing intensity. For example, a wind farm has a total of 100 wind turbines, of which 20 are affected by freezing, resulting in a 10% reduction in power generation. The freezing intensity is determined according to the proportion of power reduction of the units affected by freezing, and the freezing intensity can be determined to be 2%. By obtaining the power reduction proportion of the units affected by freezing to determine the freezing intensity, the degree of impact of freezing on the operation of the wind farm can be more accurately evaluated, and an important reference can be provided for decision-making. Specifically, by calculating the power reduction proportion of the units affected by freezing, the degree of impact of freezing on the power generation capacity of the wind turbines can be more accurately reflected. In addition, the power reduction proportion directly reflects the degree of loss of power generation capacity of the wind farm due to freezing, thereby more intuitively evaluating the impact of freezing on the operation of the wind farm. In addition, different units may have different responses and degrees of loss when facing freezing. Through the power reduction proportion, the specific conditions of each affected unit can be comprehensively considered to obtain an overall freezing intensity index. In addition, the reduction ratio of power generation can be used as part of other indicators and comprehensively evaluated with indicators such as the ratio of the number of units affected to provide more comprehensive information on freezing intensity.

[0125] Method 3 for determining freezing intensity: linear combination

[0126] The freezing intensity can also be defined by a linear combination of the proportion of units affected by freezing and the proportion of power reduction. In this way, the number of units affected and the degree of power reduction can be comprehensively considered to obtain a comprehensive freezing intensity index.

[0127] In a possible implementation, the freezing intensity is obtained by linearly combining the ratio of the number of wind turbines affected by freezing in the wind farm to the total number of wind turbines in the wind farm and the ratio of power generation reduction.

[0128] For example, a wind farm has a total of 100 wind turbines, of which 30 are shut down due to freezing, and the power generation of the units affected by freezing is reduced by an average of 15%. The proportion of the number of units affected and the proportion of power reduction can be linearly combined to obtain the freezing intensity.

[0129] For example, if the proportion of affected units is 30% and the proportion of power generation reduction is 15%, these two proportions are linearly combined according to certain weights, for example, the weight of the proportion of affected units is set to 0.7 and the weight of power generation reduction is set to 0.3. Then the calculation formula for freezing intensity is:

[0130] Freezing intensity = (0.7*proportion of the number of units affected) + (0.3*proportion of power generation reduction)

[0131] Freezing strength = (0.7*30%) + (0.3*15%)

[0132] Freezing strength = 21% + 4.5%

[0133] Freeze Strength = 25.5%

[0134] Therefore, according to the linear combination calculation, the icing intensity of the wind farm is 25.5%.

[0135] By using the above method to determine the freezing intensity, since the proportion of the number of units affected and the proportion of power generation reduction are linearly combined, the scope and degree of the impact of freezing on the wind farm can be comprehensively considered, and the freezing intensity can be more comprehensively evaluated. In addition, by adjusting the weights, the contribution of the number of units affected and the reduction in power generation to the freezing intensity can be flexibly weighed according to the actual situation, so that the freezing intensity index is more in line with the actual situation. In addition, the freezing intensity obtained by the linear combination is a concise numerical indicator, which can intuitively represent the overall impact of freezing on the wind farm, and is convenient for comparison and analysis. In addition, by linearly combining the proportion of the number of units affected and the proportion of power generation reduction, a more comprehensive and intuitive freezing intensity index can be obtained, which provides a more accurate evaluation basis for wind farm managers and helps them formulate corresponding freezing response strategies.

[0136] Method 4 for determining freezing intensity: machine learning

[0137] For example, meteorological forecast data including temperature, pressure, humidity, wind speed, etc. are collected, and related variables such as accumulated temperature over a period of time are calculated. At the same time, relevant data such as the freezing ratio and power reduction ratio of the wind farm are collected as training samples. Then, feature engineering is performed on the collected meteorological forecast data to extract meaningful features that can reflect the freezing intensity. After that, the freezing intensity is divided into different levels according to the definitions such as the freezing ratio and power reduction ratio of the wind farm, and it is used as the output of the model. After that, a statistical relationship model or a machine learning model is established based on the collected preprocessed data and the freezing intensity label. The statistical relationship model can use methods such as regression analysis, while the machine learning model can use algorithms such as decision trees, support vector machines, and neural networks. After that, the model is trained using the collected data and the performance of the model is evaluated. The evaluation indicators can include accuracy, mean square error, etc. After that, the trained model is applied to the actual situation to predict the freezing intensity by inputting new meteorological forecast data.

[0138] The wind power prediction data indicates the power generated by the wind farm based on the wind speed corresponding to the freezing period. In a possible implementation, the process of obtaining the wind power prediction data includes the following steps 1 to 4.

[0139] Step 1, obtain the power curve of the wind farm: According to the design and equipment parameters of the wind farm, obtain or establish the power curve of the wind farm. This curve represents the theoretical power generation of the wind turbine under different wind speeds. Generally, when the wind speed is lower than the rated wind speed, the power generation is low; when the wind speed reaches the rated wind speed, the power generation reaches the maximum value; when the wind speed exceeds the rated wind speed, the power generation remains at the rated power or gradually decreases.

[0140] Step 2, determining the wind speed during the freezing period: obtaining the predicted wind speed data at each time point during the freezing period from the weather forecast data.

[0141] Step 3, calculating the power generation according to the wind speed and power curve: for the predicted wind speed at each time point in the freezing period, the corresponding power generation is determined according to the power curve of the wind farm.

[0142] Step 4, calculating the total power generation: the power generation at each time point during the freezing period is accumulated to obtain the total power generation of the wind farm during the freezing period.

[0143] S120: Perform anti-icing control on the wind farm based on the meteorological freezing warning data and the wind power forecast data.

[0144] The method provided in this embodiment performs anti-icing control on the wind farm based on meteorological freezing warning data and wind power forecast data. By obtaining meteorological freezing warning data, the wind farm can timely understand the upcoming freezing weather conditions. This enables the wind farm to prepare in advance, take corresponding anti-icing measures, and respond to freezing risks in a timely manner to reduce the impact of freezing on wind turbines.

[0145] In addition, the ice intensity in the meteorological ice warning data provides an assessment of the extent of ice. Combined with wind power forecast data, wind farms can more accurately predict the reduction in power generation capacity during ice events. This helps to determine a reasonable anti-icing strategy and accurately assess the ice intensity: reducing unnecessary shutdowns or power generation capacity losses.

[0146] In addition, through anti-icing control, wind farms can reduce the risk of damage to wind turbines caused by freezing. This helps to ensure the safe operation of wind turbines, extend equipment life, improve safety and reliability, and improve the reliability of the entire wind farm.

[0147] In addition, by responding to freezing risks in a timely manner and performing anti-icing control based on wind power forecast data, wind farms can maximize their power generation capacity. This helps to increase the power generation and revenue of wind farms, optimize power generation capacity, and better meet electricity demand.

[0148] In addition, through effective anti-icing control, wind farms can reduce damage to equipment caused by ice, thereby reducing maintenance and repair costs. In addition, reducing downtime and reduced power generation capacity can also avoid the resulting economic losses.

[0149] In summary, anti-icing control of wind farms based on meteorological ice warning data and wind power forecast data can improve the safety, reliability and power generation capacity of wind farms, reduce maintenance costs, and bring many benefits to the operation and management of wind farms.

[0150] In a possible implementation, the anti-icing control of the wind farm based on the meteorological ice warning data and the wind power forecast data includes wind turbine safety control.

[0151] In a possible implementation of wind turbine safety control, after obtaining meteorological freezing warning data of the wind farm, in response to the current time segment entering the freezing time period, the operating status of the wind turbines in the wind farm is controlled based on threshold parameters corresponding to the freezing intensity.

[0152] The threshold parameter includes at least one of a startup threshold, a shutdown threshold, a power reduction ratio or a pitch angle.

[0153] In a possible implementation, a correspondence between freezing intensity and threshold parameters is established, and the threshold parameters corresponding to the freezing intensity are obtained based on the correspondence between the freezing intensity and the threshold parameters. For example, the freezing intensity includes mild freezing intensity, moderate freezing intensity, and severe freezing intensity. According to these three freezing intensities, the following threshold parameters are set.

[0154] For the startup threshold, for example, the startup threshold is set to 0°C under mild freezing intensity, -5°C under moderate freezing intensity, and -10°C under severe freezing intensity. In this way, the temperature limit for starting the unit can be determined according to the freezing intensity.

[0155] For the shutdown threshold, for example, the shutdown threshold is set to -15°C for mild freezing intensity, -20°C for moderate freezing intensity, and -25°C for severe freezing intensity. In this way, the temperature limit for unit shutdown can be determined according to the freezing intensity.

[0156] For the threshold value of the power reduction ratio, for example, the power reduction ratio threshold value is set to 10% under mild freezing intensity, the power reduction ratio threshold value is set to 20% under moderate freezing intensity, and the power reduction ratio threshold value is set to 30% under severe freezing intensity. In this way, the degree of reduction in the generating capacity of the unit can be determined according to the freezing intensity.

[0157] By setting different threshold parameters according to different freezing intensities, the wind farm can flexibly adjust the operating status of the unit according to the actual freezing conditions to ensure safety and maximize power generation capacity. This can improve the economic benefits and reliability of the wind farm, which is analyzed and explained in detail from several perspectives below.

[0158] From a safety perspective, different freezing intensities represent different degrees of freezing risk. By setting different threshold parameters, the operating state of the wind turbine can be adjusted according to the freezing intensity, so that the wind turbine can operate within a safe range. For example, when the freezing intensity is low, a higher start threshold can be set so that the unit can continue to operate under lighter freezing conditions; when the freezing intensity is high, a lower shutdown threshold can be set to avoid the unit being affected by severe freezing.

[0159] From the perspective of improving power generation capacity, by setting different threshold parameters according to different freezing intensities, the operating state of wind turbines can be controlled more accurately, thereby improving power generation capacity. For example, under lighter freezing conditions, a higher power reduction ratio threshold can be set to allow the unit to continue to operate under a certain degree of freezing, thereby maintaining a higher power generation capacity; while when the freezing intensity is higher, a lower power reduction ratio threshold can be set to reduce the degree of decline in the unit's power generation capacity.

[0160] From the perspective of economic benefits, by reasonably setting the threshold parameters under different freezing intensities, the economic losses caused by unit shutdown or reduced power generation capacity can be minimized while ensuring safety. For example, under lighter freezing conditions, by setting appropriate pitch angle adjustments, unit shutdown can be avoided, thereby saving maintenance costs and increasing power generation.

[0161] Exemplarily, the process of performing safety control of a fan based on a threshold parameter corresponding to freezing intensity includes at least one of the following (1) to (4). In order to distinguish and describe the temperature thresholds used in different control processes, a first temperature threshold and a second temperature threshold are used to describe the temperature threshold used in the startup control process and the temperature threshold used in the shutdown control process, respectively.

[0162] (1) Start control

[0163] The system controls the start-up operation of the wind turbines in the wind farm based on the start-up threshold corresponding to the freezing intensity. The start-up threshold includes at least one of a first temperature threshold, a temperature rise threshold, a first impeller speed threshold, or a wind speed power relationship threshold. The following further illustrates the process of controlling the start-up operation of the wind turbines in combination with (1-1) to (1-4).

[0164] (1-1) Based on the freezing intensity and the corresponding relationship between the freezing intensity and the temperature threshold, a first temperature threshold corresponding to the freezing intensity is determined, and when the ambient temperature is lower than the first temperature threshold, the wind turbine is controlled to start operation.

[0165] Under freezing conditions, by setting appropriate temperature thresholds, the unit can operate within a safe temperature range. By controlling the start-up of the fan according to the temperature threshold corresponding to the freezing intensity, the start-up timing of the unit can be flexibly controlled according to different freezing intensities. Different freezing intensities may require different temperature thresholds to adapt to different freezing conditions. By setting the temperature threshold reasonably, it is possible to avoid starting the unit too early under mild freezing conditions and save energy consumption. At the same time, under severe freezing conditions, starting the unit in time can prevent the unit from overcooling and improve power generation capacity. By setting the appropriate temperature threshold, it is helpful for the unit to start and operate within a safe temperature range and reduce the freezing of the unit or other safety risks due to too low temperature.

[0166] (1-2) Based on the freezing intensity and the corresponding relationship between the freezing intensity and the temperature rise amplitude threshold, the temperature rise amplitude threshold corresponding to the freezing intensity is determined. When the ambient temperature rise rate is lower than the temperature rise amplitude threshold, the wind turbine is controlled to start operation.

[0167] By setting an appropriate temperature rise threshold to control the start-up of the fan, the start-up timing of the unit under freezing conditions can be controlled. By using different temperature rise thresholds according to different freezing intensities, it helps to flexibly adapt to different freezing conditions. A higher temperature rise threshold may be suitable for lighter freezing conditions, while a lower temperature rise threshold may be suitable for more severe freezing conditions. By setting an appropriate temperature rise threshold, it helps to moderate the temperature rise rate of the unit under freezing conditions and reduce the risk of overheating or other safety hazards caused by excessive temperature rise. By reasonably setting the temperature rise threshold, the unit can be prevented from heating up too quickly in a low temperature environment and reduce energy consumption.

[0168] (1-3) Based on the freezing intensity and the corresponding relationship between the freezing intensity and the impeller speed threshold, the impeller speed threshold corresponding to the freezing intensity is determined, and the wind turbine is controlled to start and operate based on the impeller speed threshold corresponding to the freezing intensity.

[0169] For example, when the impeller speed is higher than the impeller speed threshold, the wind turbine can start running. By setting a suitable impeller speed threshold, it helps the unit start running within a safe speed range, avoids excessively high impeller speeds under freezing conditions, and reduces vibration and safety risks of the unit. In addition, starting the unit can generate heat, which helps prevent ice from accumulating on the unit and reduces the impact of freezing on the blades, tower and other components of the unit. In addition, by adjusting the impeller speed threshold according to the freezing intensity, the start-up timing of the unit can be flexibly controlled according to different freezing conditions, thereby improving the reliability and power generation capacity of the wind farm.

[0170] (1-4) The corresponding wind speed-power relationship threshold is determined according to the freezing intensity. When the wind speed reaches the threshold, the wind turbine can start operation.

[0171] For example, by adjusting the wind speed-power relationship threshold according to the freezing intensity, the start-up timing of the unit can be flexibly controlled according to different freezing conditions. Different freezing intensities are adapted to different freezing conditions through different wind speed-power relationship thresholds. In addition, by adjusting the wind speed-power relationship threshold, the power generation capacity of the unit under freezing conditions can be controlled. For example, a higher threshold is used for lighter freezing conditions, and a lower threshold is used for more severe freezing conditions. In addition, the reasonable setting of the wind speed-power relationship threshold helps to reduce the probability of premature start-up of the unit in a low wind speed environment, save energy consumption, and enable the unit to start under higher wind speed conditions to improve power generation capacity.

[0172] (2) Shutdown control

[0173] In a possible implementation, the wind turbines in the wind farm are controlled to shut down based on the shutdown threshold corresponding to the freezing intensity, and the shutdown threshold includes at least one of the second temperature threshold, the temperature drop amplitude threshold, the first impeller speed threshold, or the wind speed power relationship threshold. The following further illustrates the process of controlling the startup of the wind turbines in combination with (2-1) to (2-4).

[0174] (2-1) Based on the freezing intensity and the corresponding relationship between the freezing intensity and the temperature threshold, the second temperature threshold corresponding to the freezing intensity is determined, and when the ambient temperature is lower than the second temperature threshold, the wind turbine is controlled to shut down. By setting an appropriate temperature threshold, the shutdown timing of the unit can be controlled under freezing conditions. By setting the temperature threshold according to the freezing intensity, it is ensured that the unit is shut down within a safe temperature range to avoid failure of the unit due to freezing under extreme low temperature conditions. In addition, by adjusting the temperature threshold according to the freezing intensity, it is possible to flexibly adapt to different freezing conditions and ensure that the unit is safely shut down under various freezing intensities. In addition, by setting the temperature threshold shutdown according to the freezing intensity, it is possible to avoid energy waste caused by the unit continuing to operate in a low temperature environment.

[0175] (2-2) The wind turbine is controlled to shut down based on the temperature rise threshold corresponding to the freezing intensity. For example, the temperature rise threshold of the freezing intensity is determined according to the freezing intensity, and when the ambient temperature rise rate is lower than the temperature rise threshold, the wind turbine is controlled to shut down. By setting an appropriate temperature rise threshold, the shutdown timing of the unit can be controlled under freezing conditions. By setting the temperature rise threshold according to the freezing intensity, it is ensured that the temperature rise rate of the unit under freezing conditions is moderate, and excessive temperature rise that causes overheating or other safety problems of the unit is avoided. In addition, by adjusting the temperature rise threshold according to the freezing intensity, it is possible to adapt to different freezing conditions and ensure that the unit is safely shut down under different freezing intensities. In addition, the reasonable setting of the temperature rise threshold can prevent the unit from heating up too quickly in a low temperature environment and reduce energy consumption.

[0176] (2-3) The wind turbine is shut down based on the impeller speed threshold corresponding to the freezing intensity. For example, the corresponding impeller speed threshold is determined according to the freezing intensity, and when the impeller speed is lower than the threshold, the wind turbine is shut down. For example, the impeller speed threshold is set according to the freezing intensity to ensure that the unit is shut down within a safe speed range, and to avoid the unit losing stability due to an excessively low impeller speed under freezing conditions. For another example, by adjusting the impeller speed threshold according to the freezing intensity, it is possible to adapt to different freezing conditions and ensure that the unit is shut down safely under various freezing intensities. In addition, a reasonable setting of the impeller speed threshold can prevent the unit from continuing to operate in a low wind speed environment, save energy consumption, and reduce possible failures of the unit under adverse freezing conditions.

[0177] (2-4) Controlling the shutdown of wind turbines based on the wind speed-power relationship threshold corresponding to the freezing intensity: Determine the corresponding wind speed-power relationship threshold according to the freezing intensity, and when the wind speed reaches the threshold, the wind turbine is shut down. By setting an appropriate wind speed-power relationship threshold, the shutdown timing of the unit can be controlled under freezing conditions. Set the wind speed-power relationship threshold according to the freezing intensity to ensure that the unit is shut down within a safe wind speed range, avoid generating too low power under freezing conditions, and reduce the risk of the unit being affected by freezing. By adjusting the wind speed-power relationship threshold according to the freezing intensity, it is possible to adapt to different freezing conditions and ensure that the unit is safely shut down under various freezing intensities. Reasonable setting of the wind speed-power relationship threshold can prevent the unit from continuing to operate in a low wind speed environment, save energy consumption, and reduce possible failures of the unit under adverse freezing conditions. By controlling the shutdown of wind turbines based on different threshold parameters corresponding to the freezing intensity, it is helpful to safely shut down the unit under freezing conditions, reduce the impact of freezing on the unit, and adjust the shutdown strategy according to the freezing intensity, thereby improving the safety and reliability of the wind farm and improving the power generation capacity.

[0178] (3) Operation power control

[0179] For example, according to the freezing intensity and the corresponding relationship between the freezing intensity and the power reduction ratio, the power reduction ratio is determined, and the operating power of the wind turbine is reduced to the set ratio. By adjusting the operating power of the wind turbine, the power generation demand under different freezing conditions can be met.

[0180] By reducing the operating power of wind turbines, the load and pressure of the units under freezing conditions can be reduced, the risk of the units being affected by freezing can be reduced, and the service life of the equipment can be extended. By reducing the operating power, the vibration and stress of the units under freezing conditions can be reduced, and the stability and safety of the units can be improved. In addition, adjusting the power reduction ratio according to the freezing intensity can avoid excessive operation of the units in low wind speed environments, save energy consumption, and reduce possible failures of the units under adverse freezing conditions.

[0181] (4) Pitch angle control

[0182] For example, based on the freezing intensity and the corresponding relationship between the freezing intensity and the pitch angle, the pitch angle corresponding to the freezing intensity is obtained, and based on the pitch angle corresponding to the freezing intensity, the pitch angle of the wind turbine in the wind farm is adjusted.

[0183] By adjusting the pitch angle, the wind energy capture efficiency of the wind turbine can be optimized and the power generation capacity can be improved. Under freezing conditions, by reasonably adjusting the pitch angle, the unit can obtain the maximum power output at a specific wind speed. In addition, adjusting the pitch angle according to the freezing intensity can avoid the unit from generating too high a speed under freezing conditions, reduce the risk of the unit being affected by freezing, and improve the stability and safety of the unit. In addition, by adjusting the pitch angle, the unit can operate with the lowest energy consumption under adverse freezing conditions, saving energy and extending the service life of the equipment. In addition, by adjusting the operating power and pitch angle of the wind turbine based on the power reduction ratio and pitch angle corresponding to the freezing intensity, the operating status of the unit can be flexibly adjusted according to different freezing conditions, improving the safety and reliability of the wind farm, and improving the power generation capacity.

[0184] In another possible implementation, in response to the current time period entering a freezing period, the wind turbines in the wind farm are controlled to shut down.

[0185] In a possible implementation, based on meteorological freezing warning data and wind power forecast data, the freezing loss power generation of the wind farm during the freezing period is obtained; and anti-icing control is performed on the wind farm during the freezing period based on the freezing loss power generation.

[0186] Freezing power loss refers to the power loss caused by wind farm shutdown or power reduction during the freezing period. For example, during the freezing period, the wind farm's estimated power generation at the wind speed corresponding to the freezing period is 1000MWh, but due to shutdown or power reduction control, the actual power generation is only 800MWh, so the freezing power loss is 200MWh.

[0187] By obtaining the power generation loss due to freezing, we can understand the actual power generation loss caused by shutdown or power reduction during the freezing period of the wind farm, which helps to evaluate the impact of freezing on the wind farm and provide a basis for formulating anti-icing control strategies. In addition, by performing anti-icing control based on the power generation loss due to freezing, the operating status of the wind turbine can be flexibly adjusted according to the actual power generation loss and freezing warning data, to minimize the power generation loss due to freezing, improve power generation efficiency and stability, protect equipment safety, and save energy consumption.

[0188] In a possible implementation, the freezing intensity of the wind farm includes the proportion of wind turbines shut down due to freezing in the wind farm, the freezing loss power generation includes the shutdown loss power generation, and the shutdown loss power generation is obtained based on the duration of the freezing period and the proportion of wind turbines shut down due to freezing in the wind farm. The shutdown loss power generation refers to the power generation loss caused by shutdown of the wind farm during the freezing period.

[0189] Exemplarily, the start time and the end time of the freezing period are determined, and the time difference between the start time and the end time of the freezing period is calculated to obtain the duration of the freezing period. The number of wind turbines shut down due to freezing during the freezing period is obtained, and compared with the total number of wind turbines to obtain the proportion of wind turbines shut down due to freezing. The duration of the freezing period is multiplied by the proportion of wind turbines shut down due to freezing, and multiplied by the rated power generation of the wind turbines to obtain the power generation loss due to shutdown during the freezing period.

[0190] By calculating the power generation loss due to downtime, first, the economic losses of freezing to wind farms can be quantified, which helps users understand the impact of freezing events on power generation and revenue, and provides a basis for formulating reasonable economic forecasts and operation strategies. Second, by obtaining the power generation loss due to downtime, the actual power generation loss caused by downtime during the freezing period can be understood. This helps to optimize the wind turbine control strategy. For example, according to the prediction of the freezing period and the estimation of the power generation loss due to downtime, the parameters such as the wind turbine operation mode, power output or pitch angle are adjusted to minimize the power generation loss due to downtime and improve power generation efficiency and stability. Third, the reliability of wind farms can be improved: by evaluating the power generation loss due to downtime, the impact of freezing events on the operation of wind turbines can be better understood. This helps to formulate more effective anti-icing measures, improve the reliability and sustainability of wind farms, reduce equipment failures and downtime, and improve the stability and predictability of power generation. Fourth, save energy consumption. By reducing the power generation loss due to downtime, wind farms can make more full use of wind resources and reduce energy waste.

[0191] In one possible implementation, the freezing intensity of a wind farm includes the proportion of wind turbines in the wind farm that have reduced power due to freezing, and the power generation lost due to freezing includes the power generation lost due to reduced power. Based on meteorological freezing warning data and wind power forecast data, a first estimated power generation of the wind farm is obtained based on the wind power forecast data and the duration of the freezing time period; a second estimated power generation is obtained based on the duration of the freezing time period, the proportion of wind turbines that have reduced power due to freezing, and the power reduction ratio; based on the first estimated power generation and the second estimated power generation, the power generation lost due to reduced power is obtained, and the power generation lost due to reduced power refers to the power generation loss caused by power reduction in the wind farm during the freezing time period.

[0192] The first estimated power generation refers to the power generation that the wind farm can generate based on the predicted wind speed when no freezing occurs. The process of obtaining the first estimated power generation includes, for example, calculating the first estimated power generation of the wind farm during the freezing period based on the meteorological freezing warning data and the wind power prediction data and the power curve model of the wind turbine generator set when no freezing occurs.

[0193] The second estimated power generation refers to the power generation that can be generated by the wind farm during the freezing period, taking into account the operation after power reduction. The process of obtaining the second estimated power generation includes, for example, calculating the second estimated power generation of the wind farm based on the length of the freezing period, the proportion of wind turbines that have power reduction due to freezing, and the power reduction ratio.

[0194] The process of obtaining the power loss due to power reduction includes: subtracting the second estimated power generation from the first estimated power generation to obtain the power loss due to power reduction of the wind farm, which is the actual power loss due to power reduction of the wind farm during the freezing period.

[0195] For example, a wind farm includes 10 wind turbines, and during the freezing period, 3 of them are affected by freezing and their power is reduced. The freezing period lasts for 24 hours. According to the meteorological freezing warning data and wind power forecast data, the first estimated power generation of the wind farm is calculated to be 1200MWh. Assuming that the proportion of wind turbines that have reduced power due to freezing is 30%, the power reduction ratio is 20%. According to the calculation, the second estimated power generation of the wind farm is 900MWh. Then the power loss due to power reduction = 1200MWh-900 MWh = 300MWh.

[0196] By calculating the power loss due to power reduction, first, the economic losses of freezing to wind farms can be quantified. This helps wind farm managers understand the impact of freezing events on power generation and revenue, and provides a basis for formulating reasonable economic forecasts and operating strategies. Second, it helps optimize wind turbine control. Specifically, by obtaining the power loss due to power reduction, the actual power generation loss caused by power reduction during the freezing period can be understood. This helps optimize wind turbine control strategies, such as adjusting the operating mode, power output or pitch angle of the wind turbine according to the prediction of the freezing period and the estimation of the power loss due to power reduction, so as to minimize the power loss due to shutdown and improve power generation efficiency and stability. Third, improve the reliability of wind farms: By evaluating the power loss due to power reduction, the impact of freezing events on the operation of wind turbines can be better understood. This helps to formulate more effective anti-icing measures, improve the reliability and sustainability of wind farms, reduce equipment failures and downtime, and improve the stability and predictability of power generation. Fourth, it helps to save energy consumption: by reducing the power loss due to power reduction, wind farms can make more full use of wind resources and reduce energy waste.

[0197] (3) De-icing operation control

[0198] De-icing is the process of dealing with ice on the surface of wind turbines. Icing can cause the performance of wind turbine blades and other components to decline, affecting power generation efficiency and reliability. De-icing is designed to eliminate or reduce the impact of icing on wind turbines and restore their normal operation.

[0199] For example, de-icing can be done in one of the following ways: Mechanical de-icing: Using a specially designed mechanical device, such as a scraper or brush, to remove ice from the wind turbine blades. Thermal de-icing: Applying heat to the surface of the wind turbine blades causes the ice to melt and slide off. Chemical de-icing: Using chemicals sprayed on the wind turbine blades to accelerate the melting and removal of ice.

[0200] In a possible implementation, the time point for starting the deicing operation is determined based on the power generation loss due to freezing and the cost of the deicing operation; and the deicing operation is started at the time point.

[0201] By starting to perform de-icing operations, first, it helps to protect wind turbine equipment: de-icing operations can effectively remove or reduce ice layers on components such as wind turbine blades, towers and nacelles. This helps prevent ice from causing damage to wind turbine equipment or performance degradation, and improves the reliability and life of the equipment. Second, it helps to improve power generation efficiency: ice layers increase the friction resistance and aerodynamic resistance of wind turbine blades and reduce the power generation efficiency of wind turbines. By performing de-icing operations, the smooth surface of wind turbine blades can be restored, resistance can be reduced, and power generation efficiency can be improved, thereby obtaining more electrical energy output. Third, it helps to ensure safe operation: ice layers can cause imbalance of wind turbine blades, increase vibration and noise, and may affect the safe operation of wind turbines. De-icing operations can eliminate or reduce these problems and ensure that wind turbines operate in a stable and safe state. Fourth, it helps to reduce maintenance costs: the presence of ice layers may cause damage or failure of wind turbine equipment and increase the cost of maintenance and repair. By performing de-icing operations in a timely manner, damage to equipment caused by ice layers can be reduced and maintenance costs can be reduced. Fifth, it helps to improve reliability and sustainability: de-icing operations can improve the reliability and sustainability of wind turbine equipment. By removing ice, equipment failures and downtime are reduced, and wind turbine stability and predictability are improved, thereby increasing the stability and reliability of power generation.

[0202] In an exemplary embodiment, the value of the frozen power loss is obtained based on the electricity price corresponding to the freezing period and the frozen power loss; the value of the frozen power loss is compared with the cost of the deicing operation to determine whether it is worthwhile to perform the deicing operation. In response to determining that the difference between the value of the frozen power loss at a first time point in the freezing period and the cost of the deicing operation is greater than a threshold, the deicing operation is started at the first time point. By comprehensively considering the value of the frozen power loss and the cost of the deicing operation, if the value of the frozen power loss exceeds the cost of the deicing operation, then performing the deicing operation can minimize the power loss due to shutdown and increase the power generation income. In addition, the balance between costs and benefits is weighed during the freezing period. By comparing the value of the frozen power loss with the cost of the deicing operation, unnecessary deicing operations can be avoided, thereby reducing costs. In addition, a refined decision-making method is provided, which can more accurately determine whether to perform the deicing operation by quantitatively analyzing the value of the frozen power loss and the cost of the deicing operation. This helps to avoid excessive or insufficient deicing operations and improve the accuracy and effectiveness of decision-making.

[0203] In one possible implementation, based on the historical load data of the wind farm, the freezing time period, the freezing intensity, the power generation lost due to freezing, and the cost of energy storage equipment, the electricity price fluctuation trend during the freezing time period is obtained; based on the electricity price fluctuation trend, the electricity trading strategy is output. For example, based on the electricity price fluctuation trend, the time period with high electricity prices is determined. During the period with higher electricity prices, the real-time market electricity sales are increased to obtain higher profits. For another example, in response to the proportion of wind turbines in the wind farm that have reduced power due to freezing being greater than the proportion threshold, it is determined that freezing is common in the wind farm, and the market electricity sales on the day before are reduced, thereby reducing the trading losses caused by excess electricity sales.

[0204] (4) Configure energy storage

[0205] In a possible implementation, an energy storage device is configured based on meteorological freezing warning data and wind power prediction data, and the energy storage device is electrically connected to a wind turbine in a wind farm.

[0206] By configuring energy storage equipment in combination with meteorological freezing warning data and wind power forecast data, first, it helps to balance the supply and demand of electricity. Specifically, during the freezing period or when the wind is insufficient, the energy storage equipment can release the stored electricity to meet the needs of the power grid and maintain the stability of the power supply. Second, it helps to reduce the loss of power generation due to freezing: by configuring energy storage equipment, wind farms can store excess electricity, reduce the loss of power generation due to shutdown during the freezing period, and improve power generation efficiency and revenue. Third, it improves the operational flexibility of wind farms: the existence of energy storage equipment enables wind farms to adjust power generation more flexibly, and perform reasonable energy scheduling based on meteorological freezing warning data and wind power forecast data to cope with changes in market demand and power systems. Fourth, it helps to optimize power trading strategies: configuring energy storage equipment can purchase and store electricity during periods of low electricity prices, and release electricity for sale during periods of high electricity prices, thereby obtaining higher returns. At the same time, energy storage equipment can also be used to adjust the output of wind farms to adapt to market price fluctuations and changes in electricity demand.

[0207] In one possible implementation, the wind turbines in the wind farm are controlled to charge the energy storage device before the freezing period; because the excess electric energy is stored in the energy storage device, the loss of power generation due to insufficient wind power during the freezing period is avoided. At the same time, by charging in advance, the energy storage device can provide more backup power during the freezing period to meet the needs of the power grid and improve the reliability and stability of the wind farm.

[0208] In one possible implementation, the energy storage device is controlled to supply power to the grid during the freezing period. By controlling the energy storage device to supply power to the grid, the defect of insufficient wind power capacity during the freezing period can be compensated and the needs of the grid can be met. This helps maintain the stability and reliability of the grid and avoid problems such as insufficient power supply or power outages caused by insufficient wind power capacity.

[0209] In one possible implementation, the energy storage capacity of the energy storage device is configured based on the length of the freezing period and the freezing intensity. Reasonable configuration of the energy storage capacity of the energy storage device helps to have sufficient backup power supply during the freezing period to meet the needs of the power grid. At the same time, it avoids over-configuration of energy storage capacity and reduces costs and energy waste.

[0210] In a possible implementation, freezing safety warning information is issued in the wind farm based on meteorological freezing warning data and wind power forecast data, and the freezing safety warning information includes freezing time period and freezing intensity. For example, the safety warning information is displayed on a display screen installed in the control room or other important locations of the wind farm. For another example, a sound player or alarm device deployed in the wind farm plays audio containing freezing safety warning information.

[0211] Optionally, the freezing safety warning information can be updated and adjusted in a timely manner according to the changes in meteorological freezing warning data and wind power forecast data. The accuracy and timeliness of the warning information can be improved. By issuing freezing safety warning information, the wind turbine can be shut down in time during the freezing period and started in time after the freezing period; warnings can be provided to the site during the period from freezing to thawing to prevent personnel from being affected by falling ice and ice throwing.

[0212] Optionally, an anti-icing control dashboard is generated based on wind power forecast data, the time period when freezing occurs, and the freezing intensity, and the anti-icing control dashboard is displayed in the interface.

[0213] In one possible implementation, the anti-icing control dashboard includes the following information:

[0214] (1) Wind power forecast data. For example, the anti-icing control dashboard displays the wind power forecast for a period of time in the future in the form of graphs or numbers to help predict the power generation of wind turbines.

[0215] (2) Freezing period data. For example, the anti-icing control dashboard displays the start and end time of the freezing period in the form of a timeline or calendar, highlighting the occurrence of freezing events.

[0216] (3) Icing intensity data. For example, the anti-icing control board displays different icing intensity levels in the form of charts or indicator lights, and uses colors or symbols to indicate the number or degree of affected units.

[0217] (4) Warning and prompt information. For example, based on wind power forecast, freezing time period and freezing intensity data, warning and prompt information is provided, such as the predicted number of shutdown units and recommended anti-icing measures.

[0218] (5) Real-time monitoring and control: Provides real-time monitoring and control functions, such as real-time wind power monitoring, wind turbine status monitoring and remote control.

[0219] Optionally, the above data and information are visualized in an intuitive and easy-to-understand manner, such as charts, dashboards, maps, etc. Optionally, the system provides users with interactive functions, such as selecting a time range, switching views, viewing detailed information, etc., so as to analyze and understand the anti-icing management situation more deeply.

[0220] Each of the above-listed methods can be implemented independently or in combination. As a combined implementation method, the predicted meteorological freezing warning data and wind power data are used, and the electricity price forecast is referred to to estimate the power generation loss caused by freezing during the future freezing period (hereinafter referred to as freezing loss power generation). Combined with the freezing loss power generation and deicing costs, the deicing operation is intelligently scheduled to improve the accuracy of operation management during the freezing period, thereby improving the overall benefits of the wind farm.

[0221] The following is combined with Figure 2 Embodiment, for the attached Figure 1 How to combine various implementation methods described in the embodiments is illustrated by examples.

[0222] Please refer to the attached Figure 2 , attached Figure 2 This is a flow chart of controlling freezing of a wind farm based on meteorological freezing warning data provided by this embodiment. Figure 2 The method shown includes the following steps.

[0223] S310, reading meteorological freezing warning data.

[0224] Through meteorological ice warning data, we can clearly identify the time periods affected by ice in the future.

[0225] S311, reading wind power prediction data and wind speed prediction data.

[0226] S312, obtaining historical de-icing operation resources, energy storage resources, and power trading resources.

[0227] S320, estimating the power generation loss due to freezing based on the wind power prediction data and the wind speed prediction data.

[0228] If the wind turbine is operated during the freezing period without using meteorological freezing warning, it is impossible to obtain accurate future freezing periods of the wind farm, which makes it difficult to accurately estimate the power generation loss caused by freezing of the wind turbine. Based on this, the above embodiment combines meteorological freezing warning data, wind speed and wind power data as data sources to estimate the freezing loss power generation, so the obtained freezing loss power generation will be more accurate, and the wind turbine can be controlled more accurately based on the freezing loss power generation.

[0229] S330, generating a wind farm freezing response plan.

[0230] S340, performs wind turbine safety control and issues site safety warnings based on meteorological freezing warning data.

[0231] S341, dispatching de-icing operations based on meteorological ice warning data.

[0232] S342, conduct power trading dispatch and energy storage equipment call based on meteorological freezing warning data.

[0233] In one possible implementation, meteorological freezing warning data and wind power forecast data are read. Then, combined with the wind power forecast data, the power generation loss due to freezing of the wind turbine during the freezing shutdown and freezing power reduction operation period is estimated. Then, combined with the power generation loss due to freezing and deicing operation resources, energy storage resources, and power trading resources, the deicing operation, energy storage planning, and power trading planning in the corresponding period are planned. At the same time, freezing safety warning information can also be issued.

[0234] In a possible implementation, de-icing operations, energy storage planning, and power trading planning are performed through the following methods (1) to (4):

[0235] Method (1) is to configure energy storage equipment in time before the freezing period so that the electricity provided by the energy storage equipment can be used during the freezing period when electricity prices are high.

[0236] Method (2) For a freezing process of a shorter duration, the energy storage device is charged in advance so that the energy storage device can be used during the freezing period.

[0237] Method (3) can reduce the day-ahead market electricity sales in the event of widespread regional freezing, thereby reducing the probability of insufficient power supply when the region is generally frozen.

[0238] Method (4) For long-term freezing, the de-icing plan can be reasonably planned based on the resources and expenses of the de-icing operation.

[0239] If necessary, the embodiment of the present application can optionally support a digital wind farm control system, which can completely cover the entire process of safety warnings, wind turbine control, de-icing operations, energy storage scheduling, power trading management, etc. The following example illustrates the architecture of the wind farm control system in conjunction with Example 1 and Example 2.

[0240] Example 1: Wind farm anti-icing digital management system

[0241] Attached Figure 3 is a schematic diagram of a wind farm deicing control system 300 provided in this embodiment. Figure 3As shown, the system includes a meteorological cloud platform 311, a forecast server 312, a regional monitoring system 321, an anti-icing control server 322, an anti-icing control dashboard 323, a Supervisory Control and Data Acquisition (SCADA) system 331, a firewall 332, an anti-icing server 333, a sensor 334 and a wind turbine 340.

[0242] Among them, the meteorological cloud platform 311 and the prediction server 312 are deployed in the cloud environment (cloud). The meteorological cloud platform 311 is connected to the prediction server 312 through a communication network (such as a wide area network or a metropolitan area network). The regional monitoring system 321, the anti-icing control server 322 and the anti-icing control dashboard 323 are deployed in the user network (owner layer). The regional monitoring system 321, the anti-icing control server 322 and the anti-icing control dashboard 323 are connected through a communication network (such as a local area network). The SCADA system 331, the firewall 332, the anti-icing server 333 and the sensor 334 are deployed in the wind farm (wind farm layer). The anti-icing server 333 and the sensor 334 are connected through a communication network or a bus.

[0243] The meteorological cloud platform 311 is used to obtain numerical weather forecasts and send the numerical weather forecasts to the prediction server 312. The prediction server 312 is used to determine the time period, freezing intensity and wind power prediction data of future freezing based on the numerical weather forecast. The meteorological cloud platform 311 sends the freezing time period, freezing intensity and wind power prediction data to the anti-icing control server 322 in the user network.

[0244] In the user network, an anti-icing management dashboard is provided in the anti-icing control server 322. In addition, the anti-icing control server 322 intelligently generates an ice response plan based on on-site feedback information and externally input ice warnings and wind power forecasts. After manual review of the ice response plan, the ice response plan is sent to the wind farm for execution.

[0245] At the wind farm layer, an anti-icing server 333 is set. The anti-icing server 33 is isolated from the SCADA system 331 network of the wind turbine through a firewall 332. The anti-icing server 33 deployed in the wind farm receives instructions, meteorological freezing warning data and wind power prediction information sent by the prediction server 312, and is also connected to the sensor 334 deployed at the wind farm layer. The anti-icing server 333 uses an intelligent algorithm to accurately correct the freezing period and execute relevant anti-icing actions according to the instructions.

[0246] SCADA system refers to a monitoring, control and data acquisition system used to monitor and manage remote equipment, processes and systems in real time. SCADA system is connected to various devices through the network, collects and transmits data, and provides a user interface to monitor and control the operating status of the equipment.

[0247] At the unit level, wind turbine 340 is mainly used to receive instructions sent by the SCADA system and perform unit anti-icing safety control in combination with the wind turbine's own sensors. The unit anti-icing safety control program is used to control the wind turbine to shut down in time during the freezing period and start the wind turbine as early as possible after the freezing state ends.

[0248] Attached Figure 4 is a software framework diagram of a wind farm control system provided in this embodiment, Figure 4 As shown, the software modules of the wind farm control system 400 include a data preprocessing module 410 , a strategy generating module 420 , a monitoring management module 430 and a user interface 440 .

[0249] The data preprocessing module 410 is used to provide a data source for generating a freezing period response plan. The data preprocessing module 410 is used to receive data from different sources, such as weather forecasts, freezing warning data based on weather forecasts, power forecast data, environmental parameters monitored in real time by sensors deployed in wind farms, and information such as electricity price forecasts and energy storage resources. In addition, the data preprocessing module 410 can also be used to receive information related to the cost of deicing operations. The data preprocessing module 410 can be used to integrate and preprocess the received data to form a comprehensive data set for use by the strategy generation module. Optionally, the data preprocessing module 410 can also be used to clean and preprocess the collected data, including removing outliers, filling missing values, data smoothing and standardization, etc. This can improve the quality and availability of the data and improve the accuracy and consistency of the data.

[0250] The strategy generation module 420 is used to calculate the length of the freezing period, the power generation value during the freezing period, the cost of energy storage, and the cost of de-icing operations, so as to accurately evaluate the costs of de-icing operations and energy storage calls. The strategy generation module 420 then performs intelligent planning and automatically proposes an applicable freezing response plan.

[0251] The monitoring management module 430 can optionally be a manual control module. First, the system 400 can manage the progress of related deicing operations and evaluate the value of freezing response operations in combination with the fan operation information. At the same time, for modules such as anti-icing safety management, deicing operations, and energy storage transaction control, relevant applications are formed for personnel scheduling and control.

[0252] The user interface 440 is a user viewing interface, which is convenient for personnel to operate and manage.

[0253] Example 2: Wind farm power trading freezing warning system

[0254] A major feature of this embodiment is its flexible deployment. It can be deployed in accordance with the complete functions, or some functions can be extracted to form an independent system according to the needs of different customers.

[0255] Example 2 provides a wind farm freezing period power transaction auxiliary management system. The system in Example 2 is the part of Example 1 that supports auxiliary support for power transaction. Figure 5 shown.

[0256] In this embodiment, compared with Example 1, the device architecture is greatly simplified and only includes two layers: the cloud layer and the owner layer.

[0257] At the cloud layer, it is the same as Example 1. The system reads the numerical weather forecast results in the cloud, performs meteorological frost warning calculations and wind power forecast calculations in the area. The meteorological frost warning results and wind power forecast results are sent to the owner's anti-icing control server.

[0258] At the owner level, an anti-icing control server is deployed. On the one hand, the anti-icing control server receives freezing warning data and wind power forecast data sent from the cloud; on the other hand, the anti-icing control server obtains wind turbine operation data, wind turbine operation and maintenance plans, and power trading management data in the regional management system. The anti-icing control server combines freezing warning data and power trading conditions to send anti-icing power trading solutions.

[0259] Based on the architecture provided by this embodiment, the privacy of the owner's data is improved. The owner's data is not uploaded to the public cloud, but is calculated in the owner's internal server to improve the security of related production data.

[0260] The software framework diagram of Example 2 is as follows Figure 6 As shown in the figure, since this embodiment only includes the power transaction management function, the software module is greatly simplified compared with Example 1.

[0261] The software architecture of Example 2 includes a data preprocessing module, a strategy generation module, a monitoring management module, and a user interface. The details of each module in the software architecture of Example 2 can refer to the description of Example 1.

[0262] The system provided by this embodiment has more complete functions and can enhance the value in terms of wind turbine safety control, station safety warning, anti-icing operation control, power trading management, and energy storage call management. In addition, since meteorological freezing warning data and wind power forecast data are used as the basis for decision-making, the information considered is more complete. In addition, this embodiment has strong versatility and low cost, and can achieve the effect of enhancing the value of the freezing period without introducing heating and deicing equipment.

[0263] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

[0264] A refers to B, which means that A is the same as B or A is a simple variant of B.

[0265] The terms "first" and "second" in the description and claims of the embodiments of the present application are used to distinguish different objects, rather than to describe the specific order of the objects, and cannot be understood as indicating or implying relative importance. For example, the first freezing time period and the second freezing time period are used to distinguish different freezing time periods, rather than to describe the specific order of the freezing time periods, and cannot be understood as the first freezing time period being more important than the second freezing time period.

[0266] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in accordance with the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from a website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium may be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrated. The available medium may be a magnetic medium, (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state hard disk SolidState Disk (SSD)), etc.

[0267] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for controlling the operating state of a wind turbine generator set, characterized in that: The method comprises: Acquire meteorological freezing warning data of the wind farm, wherein the meteorological freezing warning data includes a freezing time period and a freezing intensity corresponding to the freezing time period; In response to the current time segment entering the freezing time period, the operating state of the wind turbines in the wind farm is controlled based on a threshold parameter corresponding to the freezing intensity.

2. The method according to claim 1, characterized in that The controlling the operating state of the wind turbine generator set in the wind farm based on the threshold parameter corresponding to the freezing intensity includes at least one of the following: Controlling the start-up operation of the wind turbines in the wind farm based on the start-up threshold corresponding to the freezing intensity, wherein the start-up threshold includes at least one of a first temperature threshold, a temperature rise threshold, a first impeller speed threshold, or a wind speed-power relationship threshold; or Controlling the wind turbines in the wind farm to shut down based on a shutdown threshold corresponding to the freezing intensity, wherein the shutdown threshold includes at least one of a second temperature threshold, a temperature drop amplitude threshold, a first impeller speed threshold, or a wind speed-power relationship threshold; or, adjusting the operating power of the wind turbines in the wind farm based on the power reduction ratio corresponding to the freezing intensity; or, The pitch angle of the wind turbine generator set of the wind farm is adjusted based on the pitch angle corresponding to the freezing intensity.

3. The method according to claim 1, characterized in that The obtaining of meteorological freezing warning data of the wind farm includes: Based on weather forecast data, obtaining meteorological freezing warning data of the wind farm; or, Based on the environmental parameters of the wind farm, obtaining meteorological freezing warning data of the wind farm, wherein the environmental parameters include at least one of temperature, humidity, wind speed, cloud concentration or environmental visibility; or, Based on the weather forecast data and the environmental parameters, meteorological freezing warning data of the wind farm is obtained.

4. The method according to claim 3, characterized in that The obtaining of meteorological freezing warning data of the wind farm based on the weather forecast data and the environmental parameters includes: Based on the weather forecast data, obtaining a first freezing time period during which freezing occurs in the wind farm; Based on the environmental parameters, obtaining a second freezing time period in which freezing of the wind farm occurs; The first freezing time period is adjusted based on the second freezing time period to obtain a freezing time period during which freezing occurs in the wind farm.

5. The method according to claim 1, characterized in that The obtaining of meteorological freezing warning data of the wind farm includes: Obtaining the ratio of the number of wind turbines affected by freezing in the wind farm to the total number of wind turbines in the wind farm as the freezing intensity; or, Obtaining a ratio of reduction in power generation of wind turbines affected by icing in the wind farm as the icing intensity; or, The freezing intensity is obtained by linearly combining the ratio of the number of wind turbines affected by freezing in the wind farm to the total number of turbines in the wind farm and the ratio of the reduction in power generation.

6. The method according to claim 1, characterized in that The method further comprises: Based on the meteorological freezing warning data and the wind power forecast data, the freezing loss power generation of the wind farm in the freezing time period is obtained, wherein the wind power forecast data indicates the estimated power generation generated by the wind farm based on the wind speed corresponding to the freezing time period, and the freezing loss power generation refers to the power generation loss caused by the wind farm during the freezing time period due to shutdown or power reduction; Anti-icing control is performed on the wind farm during the freezing period based on the freezing loss power generation.

7. The method according to claim 6, characterized in that The freezing intensity of the wind farm includes the proportion of wind turbines shut down due to freezing in the wind farm, the freezing loss power generation includes the shutdown loss power generation, and obtaining the freezing loss power generation of the wind farm in the freezing time period based on the meteorological freezing warning data and the wind power forecast data includes: Based on the duration of the freezing period and the proportion of wind turbines shut down due to freezing in the wind farm, the shutdown loss power generation is obtained, and the shutdown loss power generation refers to the power generation loss caused by shutdown of the wind farm during the freezing period.

8. The method according to claim 6, characterized in that The freezing intensity of the wind farm includes the proportion of wind turbines in the wind farm that are affected by freezing and have their power reduced, the freezing loss power generation includes the reduced power loss power generation, and obtaining the freezing loss power generation of the wind farm in the freezing time period based on the meteorological freezing warning data and the wind power forecast data includes: Based on the wind power prediction data and the duration of the freezing period, obtaining a first estimated power generation of the wind farm, wherein the first estimated power generation refers to the power generation that can be generated by the wind farm at the wind speed when no freezing occurs; Based on the duration of the freezing period, the proportion of the wind turbines that are affected by freezing and have their power reduced, and the power reduction ratio, a second estimated power generation is obtained, wherein the second estimated power generation refers to the power generation that can be generated by the wind farm based on the reduced power operation; Based on the first estimated power generation and the second estimated power generation, a power reduction loss power generation is acquired, where the power reduction loss power generation refers to a power generation loss caused by power reduction of the wind farm during the freezing period.

9. The method according to claim 6, characterized in that The anti-icing control of the wind farm during the freezing period based on the freezing loss power generation includes: Determining a time point for starting the deicing operation based on the freezing loss power generation and the cost of the deicing operation; The de-icing operation is started at the time point.

10. The method according to claim 6, characterized in that The anti-icing control of the wind farm during the freezing period based on the freezing loss power generation includes: Based on the historical load data of the wind farm, the freezing time period, the freezing intensity, the freezing loss power generation and the cost of the energy storage device, obtaining the electricity price fluctuation trend during the freezing time period; Based on the electricity price fluctuation trend, an electricity trading strategy is output.

11. The method according to claim 1, characterized in that: After obtaining the meteorological freezing warning data of the wind farm, the method further includes: An energy storage device is configured based on the meteorological freezing warning data, and the energy storage device is electrically connected to the wind turbines in the wind farm.

12. The method according to claim 11, characterized in that The configuring of energy storage equipment based on the meteorological freezing warning data includes at least one of the following: Controlling the wind turbines in the wind farm to charge the energy storage device before the freezing period; Controlling the energy storage device to supply electric energy to the power grid during the freezing period; or, The energy storage capacity of the energy storage device is configured based on the length of the freezing period and the freezing intensity.

13. The method according to claim 1, characterized in that After obtaining the meteorological freezing warning data of the wind farm, the method further includes: Based on the meteorological freezing warning data, freezing safety warning information is issued at the wind farm, and the freezing safety warning information includes the freezing time period and the freezing intensity.

14. A wind turbine operating state control system, characterized in that: The system comprises a prediction server, an anti-icing control server and a wind turbine generator set deployed in the wind farm, wherein the prediction server, the anti-icing control server and the wind turbine generator set are connected via a communication network; The prediction server is used to obtain meteorological freezing warning data of the wind farm, wherein the meteorological freezing warning data includes a freezing time period and a freezing intensity corresponding to the freezing time period; The anti-icing control server is used to control the operating state of the wind turbine generator set based on the threshold parameter corresponding to the freezing intensity in response to the current time segment entering the freezing time period.

15. The system according to claim 14, characterized in that The anti-icing control server is used to send a start control instruction to the wind turbine generator set based on a start threshold value corresponding to the freezing intensity, or send a shutdown control instruction to the wind turbine generator set based on a shutdown threshold value corresponding to the freezing intensity, or send a power reduction instruction to the wind turbine generator set based on a power reduction ratio corresponding to the freezing intensity, or send a pitch angle adjustment instruction to the wind turbine generator set based on a pitch angle corresponding to the freezing intensity; The wind turbine generator set is used to control the start-up operation of the wind turbine generator set in response to the start-up control instruction, and the start-up threshold includes at least one of a first temperature threshold, a temperature rise amplitude threshold, a first impeller speed threshold, or a wind speed-power relationship threshold; or, in response to the shutdown control instruction, control the shutdown of the wind turbine generator set, and the shutdown threshold includes at least one of a second temperature threshold, a temperature drop amplitude threshold, a first impeller speed threshold, or a wind speed-power relationship threshold; or, in response to the power reduction instruction, adjust the operating power of the wind turbine generator set of the wind farm; or, in response to the pitch angle adjustment instruction, adjust the pitch angle of the wind turbine generator set.

16. The system according to claim 14, characterized in that The system further includes at least one of a meteorological cloud platform or a sensor; The meteorological cloud platform is deployed in a cloud environment, and the meteorological cloud platform is used to provide weather forecast data; The sensor is deployed in the wind farm, and the sensor is used to collect environmental parameters of the wind farm; The prediction server is used to receive weather forecast data from the meteorological cloud platform, and obtain meteorological freezing warning data of the wind farm based on the weather forecast data; or, receive environmental parameters of the wind farm from the sensor, the environmental parameters including at least one of temperature, humidity, wind speed, cloud concentration or environmental visibility, and obtain meteorological freezing warning data of the wind farm based on the environmental parameters; or, obtain meteorological freezing warning data of the wind farm based on the weather forecast data and the environmental parameters.

17. The system according to claim 16, characterized in that The prediction server is used to obtain a first freezing time period when the wind farm freezes based on the weather forecast data; obtain a second freezing time period when the wind farm freezes based on the environmental parameters; and adjust the first freezing time period based on the second freezing time period to obtain the freezing time period when the wind farm freezes.

18. The system according to claim 14, characterized in that The prediction server is used to obtain the ratio of the number of wind turbines affected by freezing in the wind farm to the total number of wind turbines in the wind farm as the freezing intensity; or, obtain the ratio of the reduction in power generation of the wind turbines affected by freezing in the wind farm as the freezing intensity; or, linearly combine the ratio of the number of wind turbines affected by freezing in the wind farm to the total number of wind turbines in the wind farm and the ratio of the reduction in power generation to obtain the freezing intensity.

19. The system according to claim 14, characterized in that The anti-icing control server is used to obtain the freezing loss power generation of the wind farm in the freezing time period based on the meteorological freezing warning data and the wind power forecast data, the wind power forecast data indicates the estimated power generation generated by the wind farm based on the wind speed corresponding to the freezing time period, and the freezing loss power generation refers to the power generation loss caused by shutdown or power reduction of the wind farm in the freezing time period; anti-icing control is performed on the wind farm in the freezing time period based on the freezing loss power generation.

20. The system according to claim 19, characterized in that The freezing intensity of the wind farm includes the proportion of wind turbines that are shut down due to freezing in the wind farm, and the freezing loss power generation includes the shutdown loss power generation. The anti-icing control server is used to obtain the shutdown loss power generation based on the duration of the freezing time period and the proportion of wind turbines that are shut down due to freezing in the wind farm. The shutdown loss power generation refers to the power generation loss caused by shutdown of the wind farm during the freezing time period.

21. The system according to claim 19, characterized in that The freezing intensity of the wind farm includes the proportion of wind turbines in the wind farm that have reduced power due to freezing, and the freezing loss power generation includes the power generation lost due to reduced power. The anti-icing control server is used to obtain a first estimated power generation of the wind farm based on the wind power prediction data and the length of the freezing time period, and the first estimated power generation refers to the power generation that can be generated by the wind farm based on the wind speed when no freezing occurs; based on the length of the freezing time period, the proportion of wind turbines that have reduced power due to freezing, and the power reduction ratio, obtain a second estimated power generation, and the second estimated power generation refers to the power generation that can be generated by the wind farm based on the reduced power operation; based on the first estimated power generation and the second estimated power generation, obtain the power generation lost due to reduced power, and the power loss loss due to reduced power refers to the power generation loss of the wind farm due to power reduction during the freezing time period.

22. The system according to claim 19, characterized in that The anti-icing control server is used to determine a time point for starting the deicing operation based on the freezing loss power generation and the cost of the deicing operation; and to start executing the deicing operation at the time point.

23. The system according to claim 19, characterized in that The anti-icing control server is used to obtain the electricity price fluctuation trend during the freezing period based on the historical load data of the wind farm, the freezing period, the freezing intensity, the freezing loss power generation and the cost of the energy storage device; Based on the electricity price fluctuation trend, an electricity trading strategy is output.

24. The system according to claim 14, characterized in that The system also includes an energy storage device. The anti-icing control server is used to configure the energy storage device based on the meteorological freezing warning data. The energy storage device is electrically connected to the wind turbines in the wind farm.

25. The system according to claim 24, characterized in that The anti-icing control server is used to control the wind turbines in the wind farm to charge the energy storage device before the freezing time period; control the energy storage device to supply electric energy to the power grid during the freezing time period; or configure the energy storage capacity of the energy storage device based on the length of the freezing time period and the freezing intensity.

26. The system according to claim 14, characterized in that The anti-icing control server is used to issue freezing safety warning information at the wind farm based on the meteorological freezing warning data, and the freezing safety warning information includes the freezing time period and the freezing intensity.

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