A method, system, and medium for evaluating the effectiveness of an anti-icing retrofit for a fan

Abstract

The application discloses a kind of fan anti-ice reform efficiency evaluation method, system and medium, the method of the present application includes determining target fan set in wind farm;Whether the target fan in target fan set is in shutdown state is judged respectively and the target fan that non-icing blade icing causes shutdown is eliminated;For target fan set, the reference ratio of non-icing fan in blade icing causes shutdown is counted, the target ratio of anti-icing fan in blade icing causes shutdown, if reference ratio is greater than first set value, and target ratio is greater than second set value, second set value is less than first set value, then determine that fan anti-ice reform efficiency qualitative evaluation does not pass, otherwise determine that fan anti-ice reform efficiency qualitative evaluation passes.The present application can realize the qualitative evaluation of fan anti-ice reform efficiency according to the operation mechanism of fan blade icing shutdown, and can be used for the fan anti-ice reform efficiency evaluation of wind farm.

Description

Technical Field

[0001] This invention relates to the field of wind turbine anti-icing technology in power systems, specifically to a method, system, and medium for evaluating the effectiveness of wind turbine anti-icing retrofits. Background Technology

[0002] With the construction of new power systems and the increasing proportion of new energy sources, the reliability requirements for new energy power generation have significantly increased. In southern regions like Hunan and Guizhou, where wind power is primarily based in mountainous areas, frequent shutdowns due to icing of wind turbine blades occur in winter. Under a high proportion of new energy installed capacity, large-scale wind power de-icing and reserve withdrawal will further exacerbate the tight power supply balance across the province, placing enormous pressure on power supply security. Currently, air-thermal or electric-thermal de-icing methods are generally used to prevent or delay icing of wind turbine blades, thereby increasing the power generation time and output of the turbines. The research focus of various power generation groups is mainly on the development of air-thermal or electric-thermal de-icing devices; however, an effective method for evaluating the effectiveness of wind turbine anti-icing modifications is still lacking. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide a method, system and medium for evaluating the effectiveness of wind turbine anti-icing retrofit, which addresses the above-mentioned problems in the prior art. Based on the operating mechanism of wind turbine blade icing shutdown, the present invention can achieve a qualitative evaluation of the effectiveness of wind turbine anti-icing retrofit and can be used for evaluating the effectiveness of wind turbine anti-icing retrofit in wind farms.

[0004] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is as follows:

[0005] A method for evaluating the effectiveness of wind turbine anti-icing retrofitting includes:

[0006] S101, determine the target set of wind turbines in the wind farm, the target set of wind turbines includes anti-icing wind turbines after anti-icing modification and non-anti-icing wind turbines that have not undergone anti-icing modification;

[0007] S102, determine whether the target wind turbines in the target wind turbine set are in a shutdown state, and determine whether the shutdown of the shutdown target wind turbine is caused by blade icing, and remove the target wind turbines whose shutdown is not caused by blade icing.

[0008] S103. For the target set of wind turbines, calculate the reference percentage of non-anti-icing wind turbines that are shut down due to blade icing and the target percentage of anti-icing wind turbines that are shut down due to blade icing. If the reference percentage is greater than a first set value and the target percentage is greater than a second set value, and the second set value is less than the first set value, then the qualitative assessment of the effectiveness of the wind turbine anti-icing modification is deemed unsuccessful; otherwise, the qualitative assessment of the effectiveness of the wind turbine anti-icing modification is deemed successful.

[0009] Optionally, when determining the target set of wind turbines in the wind farm in step S101, it includes determining whether the preset exemption conditions are met. If the preset exemption conditions are met, the process ends and exits; otherwise, it jumps to step S102.

[0010] Optionally, the preset exemption conditions include: the wind farm's grid-connected overhead lines are in the de-icing period, the wind farm's grid-connected overhead lines have completed de-icing, and the wind speed around the wind farm has not reached the cut-in wind speed.

[0011] Optionally, in step S102, when determining whether the shutdown is caused by blade icing, the criteria used include: Criterion 1, before shutdown, the ambient temperature of the fan is lower than the set temperature; Criterion 2, before shutdown, the average wind speed of the fan in three specified time windows of different sizes is not less than a times the cut-in wind speed, where a is a set parameter greater than 1; Criterion 3, before shutdown, the fan is not in a power-limited operation state; Criterion 4, before shutdown, the average actual active power of the fan in three specified time windows of different sizes is less than b times the average theoretical power corresponding to the wind speed, where b is a set parameter less than 1; if the operating state of the fan before shutdown simultaneously meets the above criteria 1 to 4 and continues for the specified duration, then the fan is determined to be shut down due to blade icing.

[0012] Optionally, in step S103, the first setting value is 50%; the second setting value is 0.

[0013] Optionally, after step S103, the method further includes quantitatively evaluating the anti-icing capability of the anti-icing wind turbine according to the following formula, calculating some or all of the following three values: anti-icing capability value δ, increased power generation value ΔE1, and increased power generation value ΔE2:

[0014] δ=(t P / t L )×100%,

[0015]

[0016]

[0017] In the above formula, t P To extend the effective duration of anti-icing fan icing prevention, t P The timing starts at time t1, when the first non-icing-resistant wind turbine in the wind farm shuts down due to icing, and ends at time t2, when an icing-resistant wind turbine shuts down due to icing, or at time t3, when the first non-icing-resistant wind turbine restarts power generation after shutting down due to icing. L The duration of icing on the wind turbine blades, t L Let t1 be the start time when the first non-icing wind turbine in the wind farm shuts down due to icing, and t3 be the end time when the first wind turbine restarts power generation after shutting down due to icing. (t)The active power of the anti-icing wind turbine at the grid connection point at time t.

[0018] Optionally, after step S103, a qualitative assessment of the ice-melting capacity of the anti-icing wind turbines is further included: when a specified proportion c of the non-anti-icing wind turbines in the target wind turbine set restart power generation after being shut down due to icing, the operating status of the anti-icing wind turbines is statistically analyzed; if the anti-icing wind turbine is still in a shutdown state and the wind speed is greater than d times the cut-in wind speed, then the qualitative assessment of the ice-melting capacity of the anti-icing wind turbine is deemed to have failed; otherwise, if the anti-icing wind turbine can restart power generation, then the qualitative assessment of the ice-melting capacity of the anti-icing wind turbine is deemed to have passed; where c is a set parameter less than 1 and d is a set parameter greater than 1.

[0019] Optionally, the qualitative assessment of the ice-melting capacity of the anti-icing wind turbine may further include a quantitative assessment of the ice-melting capacity of the anti-icing wind turbine according to the following formula to calculate one or both of the ice-melting capacity value ε and the increased power generation value ΔE3 under the climatic conditions:

[0020] ε=t N -t M ,

[0021]

[0022] In the above formula, t M To determine the restart time of wind turbines after shutdown due to icing, t N P represents the time when a specified proportion of non-icing-resistant wind turbines restart power generation after being shut down due to icing. (t) The active power of the anti-icing wind turbine at the grid connection point at time t.

[0023] In addition, the present invention also provides a wind turbine anti-icing retrofit effectiveness evaluation system, including a microprocessor and a memory interconnected, wherein the microprocessor is programmed or configured to execute the wind turbine anti-icing retrofit effectiveness evaluation method.

[0024] In addition, the present invention provides a computer-readable storage medium storing a computer program that is programmed or configured by a microprocessor to perform the wind turbine anti-icing retrofit effectiveness evaluation method.

[0025] Compared with existing technologies, the present invention has the following main advantages: The method of the present invention includes determining a set of target wind turbines in a wind farm; determining whether each target wind turbine in the set is in a shutdown state and excluding target wind turbines whose shutdown is not caused by blade icing; for the set of target wind turbines, calculating the reference percentage of non-anti-icing wind turbines whose shutdown is caused by blade icing, and the target percentage of anti-icing wind turbines whose shutdown is caused by blade icing; if the reference percentage is greater than a first set value and the target percentage is greater than a second set value, and the second set value is less than the first set value, then the qualitative assessment of the effectiveness of wind turbine anti-icing modification is deemed unsuccessful; otherwise, the qualitative assessment of the effectiveness of wind turbine anti-icing modification is deemed successful. Based on the operating mechanism of wind turbine blade icing shutdown, the present invention can achieve a qualitative assessment of the effectiveness of wind turbine anti-icing modification and can be used for the assessment of the effectiveness of wind turbine anti-icing modification in wind farms. Attached Figure Description

[0026] Figure 1 This is a schematic diagram of the basic process of the method in an embodiment of the present invention. Detailed Implementation

[0027] Climate factors (temperature, humidity, rain, fog, etc.) can cause wind turbine blades to become icy, leading to grid disconnection and shutdown, which directly affects the turbine's power generation duration. While de-icing methods such as electrothermal or gas-thermal heating can prevent or delay blade icing, thus increasing power generation duration and output, the increase in power generation also depends on another crucial factor: wind speed. This wind speed is dependent on climate conditions and is not directly related to the wind turbine blades' anti-icing capability. For example, at wind speeds of 0 or very low levels, even if an anti-icing wind turbine is highly effective and can keep its blades free of ice, it will be difficult to achieve a significant increase in power generation. In other words, improving the anti-icing capability of wind turbine blades directly increases the turbine's power generation duration, thereby increasing electricity generation, but the amount of increased power generation does not negate the wind turbine blades' anti-icing capability. Therefore, the direct manifestation of the anti-icing ability of wind turbine blades is the wind turbine's sustainable power generation capacity or power generation duration. That is, the longer an anti-icing wind turbine can maintain its power generation capacity under severe weather conditions, the stronger its anti-icing ability is, and correspondingly, the more outstanding the effect of its anti-icing retrofit is.

[0028] Based on the above principles, such as Figure 1 As shown in the figure, this embodiment provides a method for evaluating the effectiveness of wind turbine anti-icing retrofit, including:

[0029] S101, determine the target set of wind turbines in the wind farm, the target set of wind turbines includes anti-icing wind turbines after anti-icing modification and non-anti-icing wind turbines that have not undergone anti-icing modification;

[0030] S102, determine whether the target wind turbines in the target wind turbine set are in a shutdown state, and determine whether the shutdown of the shutdown target wind turbine is caused by blade icing, and remove the target wind turbines whose shutdown is not caused by blade icing.

[0031] S103. For the target set of wind turbines, calculate the reference percentage of non-anti-icing wind turbines that are shut down due to blade icing and the target percentage of anti-icing wind turbines that are shut down due to blade icing. If the reference percentage is greater than a first set value and the target percentage is greater than a second set value, and the second set value is less than the first set value, then the qualitative assessment of the effectiveness of the wind turbine anti-icing modification is deemed unsuccessful; otherwise, the qualitative assessment of the effectiveness of the wind turbine anti-icing modification is deemed successful.

[0032] In this embodiment, when determining the target set of wind turbines in the wind farm in step S101, it includes determining whether the preset exemption conditions are met. If the preset exemption conditions are met, the process ends and exits; otherwise, it jumps to step S102.

[0033] In this embodiment, the preset exemption conditions include: the wind farm's grid-connected overhead lines are in the de-icing period, the wind farm's grid-connected overhead lines have completed de-icing, and the wind speed around the wind farm has not reached the cut-in wind speed. During the de-icing period of the wind farm's grid-connected overhead lines, anti-icing wind turbines may not participate in the assessment of anti-icing capability and de-icing capability; (Note: Anti-icing capability refers to the ability of anti-icing wind turbines to prevent or slow down blade icing during the transition of wind turbine blades from a non-iced power generation state to a severely iced shutdown state; de-icing capability refers to the ability of anti-icing wind turbines to melt the ice layer on wind turbine blades during the transition of wind turbine blades from a severely iced shutdown state to a non-iced power generation state.) After the wind farm's grid-connected overhead lines have de-iced, anti-icing wind turbines may not participate in the anti-icing capability assessment; during the period when the wind speed around the wind farm is low and has not reached the cut-in wind speed, and the anti-icing wind turbines are continuously in standby mode, they may not participate in the anti-icing capability assessment.

[0034] The duration of wind turbine blade icing shutdown is fundamental to the subsequent assessment of the wind turbine's anti-icing capability and will directly impact the evaluation results of the wind turbine's anti-icing retrofit. To determine the shutdown time due to blade icing, it is first necessary to confirm that the wind turbine's shutdown was indeed caused by blade icing. Currently, this is mainly determined by the wind turbine's operating status and relevant data before shutdown. In this embodiment, the criteria used in step S102 to determine whether the shutdown is caused by blade icing include: Criterion 1, before shutdown, the ambient temperature of the fan is lower than the set temperature; Criterion 2, before shutdown, the average wind speed of the fan in three specified time windows of different sizes is not less than a times the cut-in wind speed, where a is a set parameter greater than 1; Criterion 3, before shutdown, the fan is not in a power-limited operation state; Criterion 4, before shutdown, the average actual active power of the fan in three specified time windows of different sizes is less than b times the average theoretical power corresponding to the wind speed, where b is a set parameter less than 1; if the operating state of the fan before shutdown simultaneously meets the above criteria 1 to 4 and continues for a specified duration, then it is determined that the shutdown of the fan is caused by blade icing. Specifically, the criteria used in this embodiment include:

[0035] Criterion 1: Before shutdown, the ambient temperature of the fan was below 5°C.

[0036] Criterion 2: Before shutdown, the average wind speed of the fan over 10 minutes, 1 minute, and 5 seconds shall not be less than 1.5 times the cut-in wind speed;

[0037] Criterion 3: Before shutdown, the fan was not operating under power-limited conditions;

[0038] Criterion 4: Before shutdown, the average actual active power of the fan at 10 min, 1 min, and 5 s is less than 50% of the average theoretical power corresponding to the wind speed (Note: For anti-icing fans, the active power consumed by air heat and electric heat must be considered simultaneously).

[0039] If the operating status of the wind turbine before shutdown meets the above conditions and continues for 5 minutes, it can be determined that the wind turbine shutdown was indeed caused by blade icing.

[0040] It should be noted that the first and second set values ​​in step S103 can be selected as needed. For example, in this embodiment, the first set value in step S103 is 50% and the second set value is 0. If the reference percentage is greater than 50% and the target percentage is greater than 0, the qualitative assessment of the wind turbine's anti-icing retrofit effectiveness is deemed unsuccessful; otherwise, the qualitative assessment of the wind turbine's anti-icing retrofit effectiveness is deemed successful. When 50% of the non-anti-icing wind turbines in the wind farm are shut down due to icing, the operating status of the anti-icing wind turbines is statistically analyzed. If the anti-icing wind turbine is shut down due to icing, it indicates that the anti-icing retrofit effectiveness of the wind turbine is poor. If the anti-icing wind turbine can still maintain power generation operation, it indicates that the anti-icing retrofit effectiveness of the wind turbine is acceptable, and subsequent quantitative assessment of anti-icing capability will continue.

[0041] For anti-icing wind turbines, their anti-icing capability in cold climates can be accurately assessed by statistically analyzing indicators such as anti-icing duration and blade icing duration. As an optional implementation, this embodiment, after step S103, further includes calculating some or all of the following three values—anti-icing capability value δ, increased power generation value ΔE1, and increased power generation value ΔE2—based on the following formula for quantitative assessment of the anti-icing capability of the wind turbine:

[0042] δ=(t P / t L )×100%,

[0043]

[0044]

[0045] In the above formula, t P To extend the effective duration of anti-icing fan icing prevention, t P The timing starts at time t1, when the first non-icing-resistant wind turbine in the wind farm shuts down due to icing, and ends at time t2, when the icing-resistant wind turbine shuts down due to icing, or at time t3, when the first non-icing-resistant wind turbine restarts power generation after shutting down due to icing (assuming the icing-resistant wind turbine can maintain power generation operation throughout the entire time period); t L The duration of icing on the wind turbine blades, t L Let t1 be the start time when the first non-icing wind turbine in the wind farm shuts down due to icing, and t3 be the end time when the first wind turbine restarts power generation after shutting down due to icing. (t) The active power of the anti-icing wind turbine at the grid connection point at time t.

[0046] As an optional implementation, this embodiment further includes a qualitative assessment of the ice-melting capacity of the anti-icing wind turbines after step S103: when a specified proportion c of the non-anti-icing wind turbines in the target wind turbine set restart power generation after being shut down due to icing, the operating status of the anti-icing wind turbines is statistically analyzed; if the anti-icing wind turbine is still in a shutdown state and the wind speed is greater than d times the cut-in wind speed, then the qualitative assessment of the ice-melting capacity of the anti-icing wind turbine is determined to be unsuccessful; otherwise, if the anti-icing wind turbine can restart power generation, then the qualitative assessment of the ice-melting capacity of the anti-icing wind turbine is determined to be successful; where c is a set parameter less than 1 and d is a set parameter greater than 1. The parameters can be set according to actual needs. Specifically, in this embodiment, when 10% of the non-anti-icing wind turbines in the wind farm are restarted after being shut down due to icing, the operating status of the anti-icing wind turbines is statistically analyzed. If the anti-icing wind turbine is still shut down and the wind speed is greater than 1.5 times the cut-in wind speed, it indicates that the anti-icing modification of the wind turbine is not effective. If the anti-icing wind turbine can restart and generate electricity, it indicates that the anti-icing modification of the wind turbine is acceptable, and subsequent quantitative assessment of the ice melting capacity will continue.

[0047] By statistically analyzing the restart times of anti-icing wind turbines and non-anti-icing wind turbines after shutdown due to icing, the de-icing capacity of anti-icing wind turbines can be assessed relatively accurately. As an optional implementation, considering that theoretically anti-icing wind turbines have a stronger de-icing capacity than non-anti-icing wind turbines, this embodiment also includes a qualitative assessment of the de-icing capacity of anti-icing wind turbines using the following formula to quantitatively assess the de-icing capacity of the anti-icing wind turbine under this climatic condition, calculating either or both of the following: ε (de-icing capacity value) and ΔE3 (increased power generation value).

[0048] ε=t N -t M ,

[0049]

[0050] In the above formula, t M To determine the restart time of wind turbines after shutdown due to icing, t N P represents the restart time of a specified percentage of non-icing-resistant wind turbines after shutdown due to icing (this specified percentage is less than 1 and can be determined according to actual needs; for example, it is 50% in this embodiment). (t) The active power of the anti-icing wind turbine at the grid connection point at time t.

[0051] In summary, the method of this embodiment first clarifies that the key influencing factor for evaluating the effectiveness of anti-icing retrofitting is sustainable power generation capacity or power generation duration. Based on this, by comparing the operating status of anti-icing wind turbines and non-anti-icing wind turbines in the same wind farm, the anti-icing capability of the anti-icing wind turbine can be preliminarily qualitatively assessed. By statistically analyzing indicators such as anti-icing duration, blade icing duration, and active power of the wind turbine, the anti-icing capability and power generation increase level of the anti-icing wind turbine under cold climate conditions can be quantitatively assessed more accurately. By comparing the restart time of anti-icing wind turbines and non-anti-icing wind turbines after shutdown due to icing, the de-icing capability of the anti-icing wind turbine can be preliminarily qualitatively assessed. By statistically analyzing the restart time of anti-icing wind turbines and non-anti-icing wind turbines after shutdown due to icing and the active power of the wind turbine, the de-icing capability and power generation increase level of the anti-icing wind turbine can be quantitatively assessed more accurately.

[0052] Furthermore, this embodiment also provides a wind turbine anti-icing retrofit effectiveness evaluation system, including a microprocessor and a memory interconnected, wherein the microprocessor is programmed or configured to execute the wind turbine anti-icing retrofit effectiveness evaluation method. Additionally, this embodiment provides a computer-readable storage medium storing a computer program for being programmed or configured by the microprocessor to execute the wind turbine anti-icing retrofit effectiveness evaluation method.

[0053] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-readable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a machine for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The functions specified in one or more boxes. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable apparatus for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0054] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A method for evaluating the effectiveness of wind turbine anti-icing retrofit, characterized in that, include: S101, determine the target set of wind turbines in the wind farm, the target set of wind turbines includes anti-icing wind turbines after anti-icing modification and non-anti-icing wind turbines that have not undergone anti-icing modification; S102, determine whether the target wind turbines in the target wind turbine set are in a shutdown state, and determine whether the shutdown of the shutdown target wind turbine is caused by blade icing, and remove the target wind turbines whose shutdown is not caused by blade icing. S103, For the target set of wind turbines, the reference percentage of non-anti-icing wind turbines that are shut down due to blade icing and the target percentage of anti-icing wind turbines that are shut down due to blade icing are calculated. If the reference percentage is greater than a first set value and the target percentage is greater than a second set value, and the second set value is less than the first set value, then the qualitative assessment of the effectiveness of the wind turbine anti-icing modification is deemed to have failed; otherwise, the qualitative assessment of the effectiveness of the wind turbine anti-icing modification is deemed to have passed. In step S102, when determining whether the shutdown was caused by blade icing, the criteria used include: Criterion 1, before the shutdown, the ambient temperature of the fan was lower than the set temperature. Criterion 2: Before shutdown, the average wind speed of the fan within three specified time windows of different sizes is not less than a times the cut-in wind speed, where a is a set parameter greater than 1; Criterion 3: Before shutdown, the fan is not in a power-limited operation state; Criterion 4: Before shutdown, the average actual active power of the fan within three specified time windows of different sizes is less than b times the average theoretical power corresponding to the wind speed, where b is a set parameter less than 1; If the operating state of the fan before shutdown simultaneously meets the above criteria 1 to 4 and continues for the specified duration, then the shutdown is determined to be caused by blade icing.

2. The method for evaluating the effectiveness of wind turbine anti-icing retrofit according to claim 1, characterized in that, When determining the target set of wind turbines in the wind farm in step S101, it includes determining whether the preset exemption conditions are met. If the preset exemption conditions are met, the process ends and exits; otherwise, it jumps to step S102.

3. The method for evaluating the effectiveness of wind turbine anti-icing retrofit according to claim 2, characterized in that, The preset conditions for exemption from evaluation include: the wind farm's grid-connected overhead lines are in the de-icing period, the wind farm's grid-connected overhead lines have completed de-icing, and the wind speed around the wind farm has not reached the cut-in wind speed.

4. The method for evaluating the effectiveness of wind turbine anti-icing retrofit according to claim 1, characterized in that, In step S103, the first setting value is 50%; the second setting value is 0.

5. The method for evaluating the effectiveness of wind turbine anti-icing retrofit according to claim 1, characterized in that, Step S103 includes a quantitative assessment of the anti-icing capability of the anti-icing wind turbine using the following formula, calculating the anti-icing capability value δ and the increased power generation value. E1, Increased power generation value E2 includes some or all of the three: δ = (t P / t L ) ×100%, ， ， In the above formula, t P To extend the effective duration of anti-icing fan icing prevention, t P The timing starts at time t1, when the first non-icing-resistant wind turbine in the wind farm shuts down due to icing, and ends at time t2, when an icing-resistant wind turbine shuts down due to icing, or at time t3, when the first non-icing-resistant wind turbine restarts power generation after shutting down due to icing. L The duration of icing on the wind turbine blades, t L The timing starts at time t1, when the first non-icing-resistant wind turbine in the wind farm shuts down due to icing, and ends at time t3, when the first wind turbine restarts generating electricity after shutting down due to icing. P (t) The active power of the anti-icing wind turbine at the grid connection point at time t.

6. The method for evaluating the effectiveness of wind turbine anti-icing retrofit according to claim 1, characterized in that, Step S103 is followed by a qualitative assessment of the ice-melting capacity of the anti-icing wind turbines: when a specified proportion c of the non-anti-icing wind turbines in the target wind turbine set restart power generation after being shut down due to icing, the operating status of the anti-icing wind turbines is statistically analyzed; if the anti-icing wind turbine is still in a shutdown state and the wind speed is greater than d times the cut-in wind speed, the qualitative assessment of the ice-melting capacity of the anti-icing wind turbine is deemed to have failed; otherwise, if the anti-icing wind turbine can restart power generation, the qualitative assessment of the ice-melting capacity of the anti-icing wind turbine is deemed to have passed; where c is a set parameter less than 1 and d is a set parameter greater than 1.

7. The method for evaluating the effectiveness of wind turbine anti-icing retrofit according to claim 6, characterized in that, When the qualitative assessment of the ice-melting capacity of the anti-icing wind turbine is passed, the assessment also includes a quantitative assessment of the ice-melting capacity of the anti-icing wind turbine according to the following formula to calculate the ice-melting capacity value ε and the increased power generation value of the anti-icing wind turbine under the corresponding climate conditions. E3 One or both: ε = t N - t M , ， In the above formula, t M To determine the restart time of wind turbines after shutdown due to icing, t N The time when a specified proportion of non-icing-resistant wind turbines restart power generation after being shut down due to icing. P (t) The active power of the anti-icing wind turbine at the grid connection point at time t.

8. A wind turbine anti-icing retrofit effectiveness evaluation system, comprising a microprocessor and a memory interconnected, characterized in that, The microprocessor is programmed or configured to execute the wind turbine anti-icing retrofit effectiveness evaluation method according to any one of claims 1 to 7.

9. A computer-readable storage medium storing a computer program, characterized in that, The computer program is used to be programmed or configured by a microprocessor to execute the wind turbine anti-icing retrofit effectiveness evaluation method according to any one of claims 1 to 7.

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