Frequency support control method and device for wind farm considering reactive power-frequency coupling under weak grid

Abstract

The application discloses a wind farm frequency support control method and device considering reactive power-frequency coupling under a weak power grid, a storage medium and a computer device. The method comprises the following steps: when the current power grid belongs to a weak power grid, collecting the power grid frequency of a wind farm grid connection point and the operation data of each wind turbine in the wind farm, and obtaining target data of the wind farm; calculating the reactive power-frequency coupling degree according to the target data, and determining whether a coupling type frequency event exists according to the reactive power-frequency coupling degree and the power grid frequency of the wind farm grid connection point; if the coupling type frequency event exists, calculating the modified consistency factor of each wind turbine according to the operation data and the reactive power-frequency coupling degree; for a non-leading wind turbine, calculating the output power according to the first coupling compensation amount and the modified consistency factor of the adjacent non-leading wind turbine of the non-leading wind turbine; for a leading wind turbine, calculating the output power according to the second coupling compensation amount and the modified consistency factor of all non-leading wind turbines in the wind farm; and controlling the output power of each wind turbine to realize frequency support.

Description

Technical Field

[0001] This application relates to the field of wind power generation control technology, and in particular to a wind farm frequency support control method and device, storage medium, and computer equipment that considers reactive power-frequency coupling under weak power grid conditions. Background Technology

[0002] With the deepening of the "dual-carbon" strategy, the scale of new energy power generation, represented by wind power, continues to expand, and the high proportion of new energy connected to the grid has become an inevitable trend. However, areas rich in wind energy resources are often located at the end of the grid, where the grid structure is relatively weak, forming a typical "weak grid" operating environment. In such scenarios, the system has a low short-circuit ratio, high impedance, and insufficient grid strength, leading to increasingly prominent stability problems in wind power grid-connected systems, especially frequency stability issues, which have become key factors restricting the consumption of new energy and the safe operation of the grid.

[0003] Currently, to improve the frequency support capability of wind farms, the industry commonly employs methods such as droop and inertia control based on rotor kinetic energy control. However, existing technologies have two main drawbacks: First, most methods neglect the cross-coupling effect of active and reactive power caused by the dynamic process of the phase-locked loop (PLL) in weak grids. Under weak grid conditions, reactive power fluctuations affect the grid connection point voltage through grid impedance, thereby interfering with the phase tracking accuracy of the PLL, causing frequency measurement deviations and regulation lags, forming a vicious cycle of "reactive power-frequency coupling," which delays or even causes traditional frequency support strategies to fail. Second, existing wind farm collaborative control strategies typically treat the wind turbines within the farm as homogeneous units, ignoring wind speed differences caused by wake effects and geographical distribution, and the resulting differences in frequency regulation capabilities and power coupling degrees among individual turbines. This "one-size-fits-all" control approach easily leads to overload of some turbines and insufficient support for others, failing to maximize the overall frequency support capability and ensure safe operation of the wind farm. Summary of the Invention

[0004] In view of this, this application provides a wind farm frequency support control method, device, storage medium, and computer equipment considering reactive power-frequency coupling under weak power grid conditions. It fully considers the impact of reactive power-frequency coupling on wind farm frequency support under weak power grid conditions, accurately identifies coupled frequency events by calculating the reactive power-frequency coupling degree, and provides precise basis for subsequent control. Different control strategies are formulated for the dominant and non-dominant wind turbines, and the output power is calculated by combining wind speed distribution correction factors and correction consistency factors, enabling each turbine to reasonably adjust its power output according to its own situation and overall demand, thus improving the frequency support capability of the wind farm under weak power grid conditions. Simultaneously, after the grid frequency stabilizes, the power compensation loop is promptly shut down and the turbine speed is restored in stages, ensuring both stable grid operation and protection of the wind turbine equipment, demonstrating high practicality and reliability.

[0005] According to one aspect of this application, a frequency support control method for wind farms considering reactive power-frequency coupling under weak power grid conditions is provided, comprising:

[0006] When the current power grid is detected to be a weak grid, the grid frequency at the wind farm's grid connection point, the operating data of each wind turbine in the wind farm, and the target data of the wind farm are collected.

[0007] Based on the target data of the wind farm, the reactive power-frequency coupling degree of the wind farm is calculated, and based on the reactive power-frequency coupling degree and the grid frequency of the wind farm's grid connection point, it is determined whether there is a coupled frequency event in the current grid.

[0008] If there are coupled frequency events in the current power grid, then the corrected consistency factor for each wind turbine in the wind farm is calculated based on the operating data of each wind turbine in the wind farm and the reactive power-frequency coupling degree.

[0009] For each non-dominant wind turbine in the wind farm, the first coupling compensation amount corresponding to the non-dominant wind turbine is calculated by the wind speed distribution correction factor, and the output power corresponding to the non-dominant wind turbine is calculated according to the correction consistency factor of the adjacent non-dominant wind turbines and the first coupling compensation amount.

[0010] For each dominant wind turbine in the wind farm, the second coupling compensation amount corresponding to the dominant wind turbine is calculated by the wind speed distribution correction factor, and the output power corresponding to the dominant wind turbine is calculated based on the correction consistency factor of all non-dominant wind turbines in the wind farm and the second coupling compensation amount.

[0011] Each non-dominant wind turbine is controlled to operate according to its corresponding output power, and each dominant wind turbine is controlled to operate according to its corresponding output power. The grid frequency at the wind farm's grid connection point is continuously monitored. When the grid frequency at the wind farm's grid connection point reaches an extreme value and the rate of change is 0, the power compensation loops of each non-dominant wind turbine and each dominant wind turbine are shut down, and the speed of each wind turbine in the wind farm is controlled in stages to restore it to the normal operating value.

[0012] According to another aspect of this application, a wind farm frequency support control device considering reactive power-frequency coupling under weak power grid conditions is provided, comprising:

[0013] The monitoring module is used to collect the grid frequency at the wind farm's grid connection point, the operating data of each wind turbine in the wind farm, and obtain the target data of the wind farm when the current grid is detected to be a weak grid.

[0014] The coupling degree calculation module is used to calculate the reactive power-frequency coupling degree of the wind farm based on the target data of the wind farm, and to determine whether there is a coupling-type frequency event in the current power grid based on the reactive power-frequency coupling degree and the grid frequency of the wind farm's grid connection point.

[0015] The factor calculation module is used to calculate the correction consistency factor for each wind turbine in the wind farm based on the operating data of each wind turbine in the wind farm and the reactive power-frequency coupling degree if there is a coupled frequency event in the current power grid.

[0016] The output power calculation module is used to calculate the first coupling compensation amount corresponding to each non-dominant wind turbine in the wind farm by means of a wind speed distribution correction factor, and to calculate the output power corresponding to the non-dominant wind turbine based on the correction consistency factor of the adjacent non-dominant wind turbines and the first coupling compensation amount.

[0017] The output power calculation module is also used to calculate the second coupling compensation amount corresponding to each dominant wind turbine in the wind farm by means of the wind speed distribution correction factor, and to calculate the output power corresponding to the dominant wind turbine based on the correction consistency factor of all non-dominant wind turbines in the wind farm and the second coupling compensation amount.

[0018] The control module is used to control each non-dominant wind turbine to operate according to its corresponding output power, and to control each dominant wind turbine to operate according to its corresponding output power. It also continuously monitors the grid frequency at the wind farm's grid connection point. When the grid frequency at the wind farm's grid connection point reaches an extreme value and the rate of change is 0, it shuts down the power compensation loops of each non-dominant wind turbine and each dominant wind turbine, and controls the speed of each wind turbine in the wind farm to return to normal operating value in stages.

[0019] According to another aspect of this application, a storage medium is provided that stores a computer program thereon, which, when executed by a processor, implements the above-described wind farm frequency support control method considering reactive power-frequency coupling under weak power grid conditions.

[0020] According to another aspect of this application, a computer device is provided, including a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor. When the processor executes the program, it implements the above-described wind farm frequency support control method considering reactive power-frequency coupling under weak power grid conditions.

[0021] By employing the above technical solutions, this application provides a wind farm frequency support control method and device, storage medium, and computer equipment considering reactive power-frequency coupling under weak power grid conditions. This method fully considers the impact of reactive power-frequency coupling on wind farm frequency support under weak power grid conditions. It accurately identifies coupled frequency events by calculating the reactive power-frequency coupling degree, providing precise data for subsequent control. Different control strategies are formulated for the dominant and non-dominant wind turbines, and the output power is calculated by combining wind speed distribution correction factors and consistency correction factors. This allows each turbine to rationally adjust its power output according to its own conditions and overall needs, improving the frequency support capability of the wind farm under weak power grid conditions. Simultaneously, after the grid frequency stabilizes, the power compensation loop is promptly shut down and the turbine speed is restored in stages, ensuring both stable grid operation and protection of the wind turbine equipment, demonstrating high practicality and reliability.

[0022] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0023] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0024] Figure 1 The illustration shows a flowchart of a wind farm frequency support control method considering reactive power-frequency coupling under a weak power grid, according to an embodiment of this application.

[0025] Figure 2 A schematic diagram of a four-unit, two-zone system including a wind farm, provided in an embodiment of this application, is shown.

[0026] Figure 3 The figure shows a fitting curve of the active power coupling rate under different wind speed differences provided in the embodiments of this application when the reactive power changes;

[0027] Figure 4 The diagram shows the changes in active power and frequency of the wind turbine output before and after applying the proposed quantitative active power compensation when the reactive power of the wind turbine changes in the four-machine two-zone system provided in the embodiment of this application.

[0028] Figure 5 The diagram shows the frequency variation of the system under two control strategies when the load suddenly increases by 300MW, as provided in the embodiments of this application.

[0029] Figure 6This illustration shows a structural schematic diagram of a wind farm frequency support control device considering reactive power-frequency coupling under a weak power grid, provided in an embodiment of this application.

[0030] Figure 7 A schematic diagram of the device structure of a computer device provided in an embodiment of this application is shown. Detailed Implementation

[0031] The present application will be described in detail below with reference to the accompanying drawings and embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in the embodiments of the present application can be combined with each other.

[0032] This embodiment provides a frequency support control method for wind farms under weak power grid conditions that considers reactive power-frequency coupling, such as... Figure 1 As shown, the method includes:

[0033] Step 101: If the current power grid is detected to be a weak power grid, collect the grid frequency at the wind farm's grid connection point, the operating data of each wind turbine in the wind farm, and obtain the target data of the wind farm.

[0034] Step 102: Calculate the reactive power-frequency coupling degree of the wind farm based on the target data of the wind farm, and determine whether there is a coupled frequency event in the current power grid based on the reactive power-frequency coupling degree and the grid frequency of the wind farm's grid connection point.

[0035] Step 103: If there is a coupled frequency event in the current power grid, calculate the correction consistency factor for each wind turbine in the wind farm based on the operating data of each wind turbine in the wind farm and the reactive power-frequency coupling degree.

[0036] Step 104: For each non-dominant wind turbine in the wind farm, calculate the first coupling compensation amount corresponding to the non-dominant wind turbine through the wind speed distribution correction factor, and calculate the output power corresponding to the non-dominant wind turbine based on the correction consistency factor of the adjacent non-dominant wind turbines and the first coupling compensation amount.

[0037] Step 105: For each dominant wind turbine in the wind farm, calculate the second coupling compensation amount corresponding to the dominant wind turbine through the wind speed distribution correction factor, and calculate the output power corresponding to the dominant wind turbine based on the correction consistency factor of all non-dominant wind turbines in the wind farm and the second coupling compensation amount.

[0038] Step 106: Control each non-dominant wind turbine to operate according to its corresponding output power, and control each dominant wind turbine to operate according to its corresponding output power. Continuously monitor the grid frequency at the wind farm's grid connection point. When the grid frequency at the wind farm's grid connection point reaches an extreme value and the rate of change is 0, shut down the power compensation loops of each non-dominant wind turbine and each dominant wind turbine, and control the speed of each wind turbine in the wind farm to return to normal operating value in stages.

[0039] This application provides a wind farm frequency support control method considering reactive power-frequency coupling under weak power grid conditions. It is applicable to weak power grid scenarios with high renewable energy penetration and low short-circuit ratio. By analyzing the reactive power-frequency coupling degree and calculating the coupled active power for targeted compensation, and by adaptively adjusting the wind turbine parameters for different wind speeds, it alleviates the problem of frequency support response lag caused by coupling and the problem of poor frequency support consistency among wind turbines caused by uneven wind speed distribution, thus achieving a better limit support effect.

[0040] Specifically, when the current power grid is detected to be weak, the system first collects the grid frequency at the wind farm's grid connection point, the operating data of each wind turbine within the wind farm, and obtains the wind farm's target data. By collecting the grid frequency at the grid connection point, the system can monitor real-time frequency changes in the grid; by acquiring the operating data of each wind turbine, the system can understand the operating status of each turbine, such as its speed and power. This provides a comprehensive understanding of the current operating status of the power grid and the wind farm's own operating conditions, offering fundamental data for subsequent analysis and decision-making.

[0041] Next, based on the acquired target data of the wind farm, the reactive power-frequency coupling degree of the wind farm is calculated. The reactive power-frequency coupling degree reflects the degree of mutual influence between the reactive power of the wind farm and the grid frequency. After calculating the reactive power-frequency coupling degree, the presence of coupled frequency events in the current grid can be determined by combining it with the grid frequency at the wind farm's grid connection point. Coupled frequency events refer to situations where abnormal fluctuations in the grid frequency occur due to the coupling relationship between reactive power and frequency. This judgment can accurately identify whether there are frequency problems in the grid requiring special handling, providing direction for subsequent control strategies.

[0042] If coupled frequency events exist in the current power grid, a corrected consistency factor can be calculated for each wind turbine in the wind farm based on its operating data and reactive power-frequency coupling. The corrected consistency factor measures the degree of adjustment each turbine makes in response to coupled frequency events, comprehensively considering both the turbine's operating status and the reactive power-frequency coupling relationship. By calculating the corrected consistency factor, personalized control strategies can be developed for each turbine, making the entire wind farm more coordinated in responding to frequency events.

[0043] Wind turbines within a wind farm can include non-dominant turbines and dominant turbines. For each non-dominant turbine in the wind farm, the first coupling compensation amount corresponding to the non-dominant turbine can be calculated using a wind speed distribution correction factor. The wind speed distribution correction factor considers the operating characteristics of the turbine under different wind speeds, enabling a more accurate calculation of the coupling compensation amount required by the non-dominant turbine under different wind speed conditions. Then, based on the correction consistency factors of the adjacent non-dominant turbines and the first coupling compensation amount, the output power corresponding to the non-dominant turbine is calculated. This calculation method considers the mutual influence between non-dominant turbines, making the output power adjustment of non-dominant turbines more reasonable and helping to improve the overall frequency support capability of the wind farm.

[0044] For each dominant wind turbine in the wind farm, the second coupling compensation amount is calculated using the wind speed distribution correction factor. The dominant wind turbine plays a crucial role in the wind farm, and adjustments to its output power have a greater impact on the grid frequency. After calculating the second coupling compensation amount, the output power corresponding to the dominant wind turbine is calculated based on the correction consistency factors of all non-dominant wind turbines in the wind farm and the second coupling compensation amount. This calculation method comprehensively considers the interrelationship between the dominant and non-dominant wind turbines, ensuring that the dominant wind turbine provides frequency support while coordinating with the operation of the entire wind farm.

[0045] Furthermore, the system controls each non-dominant wind turbine to operate according to its corresponding output power, and each dominant wind turbine to operate according to its corresponding output power. This precise control ensures that each turbine in the wind farm provides appropriate power output based on its own operating status and the grid's needs, effectively supporting the grid frequency. Simultaneously, the grid frequency at the wind farm's grid connection point is continuously monitored. When the grid frequency at the wind farm's grid connection point reaches its extreme value and its rate of change is zero, it indicates that the grid frequency has reached a stable state. At this point, the power compensation loops for both non-dominant and dominant wind turbines are shut down to avoid over-compensation and adverse effects on the grid. Finally, the speed of each wind turbine in the wind farm is controlled in stages to restore it to its normal operating value. Here, staged control prevents the turbine speed from recovering too quickly, which could impact the turbine equipment and ensure the safe operation of the turbines.

[0046] By applying the technical solution of this embodiment, the impact of reactive power-frequency coupling on the frequency support of wind farms under weak power grid conditions is fully considered. The reactive power-frequency coupling degree is calculated to accurately identify coupled frequency events, providing a precise basis for subsequent control. Different control strategies are formulated for the dominant and non-dominant wind turbines, and the output power is calculated by combining wind speed distribution correction factors and correction consistency factors. This allows each turbine to reasonably adjust its power output according to its own situation and overall needs, improving the frequency support capability of the wind farm under weak power grid conditions. Simultaneously, after the power grid frequency stabilizes, the power compensation loop is promptly shut down and the turbine speed is restored in stages, ensuring both stable grid operation and protection of the wind turbine equipment, demonstrating high practicality and reliability.

[0047] In this embodiment of the application, optionally, the target data includes the frequency deviation caused by reactive power fluctuations in the wind farm, the total reactive power change in the wind farm, the actual grid connection impedance of the wind farm grid connection point, and the reference impedance of the wind farm grid connection point; step 102, "calculating the reactive power-frequency coupling degree of the wind farm based on the target data of the wind farm," includes:

[0048] The reactive-frequency coupling degree of the wind farm is calculated using the following formula:

[0049] ;

[0050] Where C represents the reactive-frequency coupling degree, This indicates the frequency deviation caused by reactive power fluctuations within the wind farm. This represents the total reactive power change within the wind farm. This represents the actual grid connection impedance of the wind farm's grid connection point. This represents the reference impedance at the grid connection point of the wind farm.

[0051] In this embodiment, C intuitively reflects the strength of the coupling relationship between reactive power and frequency. This reflects the actual impact of reactive power changes on frequency. This reflects the overall change in reactive power of the wind farm. and The two approaches combined take into account the impact of the grid connection point's impedance characteristics on reactive power-frequency coupling. By comprehensively considering multiple key parameters, the embodiments of this application can accurately quantify the coupling relationship between reactive power and frequency in wind farms, contributing to a deeper understanding of the operating characteristics of wind farms under weak grid conditions.

[0052] In this embodiment of the application, optionally, step 102, "determining whether there is a coupled frequency event in the current power grid based on the reactive power-frequency coupling degree and the grid frequency of the wind farm grid connection point," includes: if the reactive power-frequency coupling degree is greater than a preset threshold and the grid frequency of the wind farm grid connection point is less than or equal to a first frequency threshold, then it is determined that there is a coupled frequency event in the current power grid; and if the reactive power-frequency coupling degree is greater than a preset threshold and the grid frequency of the wind farm grid connection point is greater than or equal to a second frequency threshold, then it is determined that there is a coupled frequency event in the current power grid.

[0053] In this embodiment, firstly, determining whether a coupled frequency event exists in the current power grid requires two key conditions: reactive power-frequency coupling degree and the grid frequency at the wind farm's grid connection point. The reactive power-frequency coupling degree reflects the correlation between the wind farm's reactive power and frequency, while the grid frequency at the wind farm's grid connection point is an important indicator of the power grid's operating status. When the reactive power-frequency coupling degree exceeds a preset threshold, it indicates that changes in the wind farm's reactive power have a significant impact on the frequency, suggesting a high probability of reactive power-frequency coupling. In this case, further judgment is made based on the grid frequency at the wind farm's grid connection point. In a specific embodiment, C can be set to 0.3.

[0054] (1) If the grid frequency at the wind farm's grid connection point is less than or equal to the first frequency threshold, it indicates that the grid frequency is at a low level. Combined with the previous situation where the reactive power-frequency coupling degree is greater than the preset threshold, it can be determined that there is a coupled frequency event in the current grid. In this case, changes in reactive power may have a further negative impact on the low-frequency grid, threatening the stability of the grid frequency.

[0055] (2) If the grid frequency at the wind farm's grid connection point is greater than or equal to the second frequency threshold, it means the grid frequency is at a high level. Similarly, if the reactive power-frequency coupling is greater than the preset threshold, it can be determined that there is a coupled frequency event in the current grid. At this time, changes in reactive power may be coupled with the high-frequency grid, posing a threat to the stability of the grid frequency. It should be noted that the first and second frequency thresholds here can be determined based on actual needs or based on experience.

[0056] This application embodiment constructs a clear and operable judgment logic by setting a preset threshold for reactive power-frequency coupling and two different frequency thresholds. This judgment method can accurately identify coupled frequency events in the power grid, providing a clear basis for subsequent targeted control measures. This embodiment comprehensively considers two key factors: reactive power-frequency coupling and power grid frequency, avoiding misjudgments that may result from judging a single factor, improving the accuracy and reliability of judging the power grid's operating status, and helping to address frequency issues in the power grid in a timely and effective manner, ensuring the stable operation of the power grid.

[0057] In this embodiment of the application, optionally, the operating data of each wind turbine includes the grid frequency on the grid-connected bus of the wind farm where the wind turbine is located, the initial rotor speed of the wind turbine, and the real-time rotor speed of the wind turbine; step 103, "calculating the correction consistency factor of each wind turbine in the wind farm based on the operating data of each wind turbine in the wind farm and the reactive power-frequency coupling degree", includes:

[0058] The corrected consistency factor for the i-th wind turbine in the wind farm is calculated using the following formula. :

[0059] ;

[0060] in, f 1 indicates the first frequency threshold. f 2 indicates the second frequency threshold. f This represents the grid frequency at the grid connection point of the wind farm where the i-th wind turbine is located. This represents the initial rotor speed of the i-th fan. This represents the real-time rotor speed of the i-th fan. and Let represent the maximum and minimum limits of the rotor speed of the i-th wind turbine in the wind farm, respectively, and let C represent the reactive-frequency coupling degree.

[0061] In this embodiment, 0.2C is a coupling correction term. Strong coupling can reduce the consistency factor weight, preventing turbine overload. This embodiment of the application, by comprehensively considering various aspects of turbine operation data and reactive power-frequency coupling, can accurately calculate the corrected consistency factor for each turbine. This calculation method fully considers the operating characteristics of turbines under different grid frequencies, as well as the impact of reactive power-frequency coupling on turbine operation. This allows each turbine to make reasonable adjustments based on its own operating status and the overall grid situation, helping to improve the operational coordination and stability of wind farms in weak grid environments, better achieve functions such as frequency support, and ensure the reliable operation of the power system.

[0062] In this embodiment of the application, the output power corresponding to the non-dominant fan can optionally be calculated using the following formula:

[0063] ;

[0064] in, Indicates the first l The output power corresponding to each non-dominant fan. This represents the fitting coefficient of the maximum power point tracking curve. Indicates the first l Real-time rotor speed of a non-dominant fan Indicates the first l The first coupling compensation amount corresponding to each non-dominant fan. Indicates the first l Consistency factor of non-dominant wind turbines Indicates the first in the wind farm l Consistency factor of adjacent non-dominant wind turbines of a non-dominant wind turbine. k p Indicates proportional gain. k i Indicates integral gain;

[0065] The output power of the main fan is calculated using the following formula:

[0066] ;

[0067] in, Indicates the first m The output power corresponding to each main blower This represents the fitting coefficient of the maximum power point tracking curve. Indicates the first m Real-time rotor speed of each main blower Indicates the first m The second coupling compensation amount corresponding to each main blower. This represents the consistency control component within the wind farm;

[0068] ;

[0069] Wherein, n-1 represents the total number of non-dominant wind turbines in the wind farm. and This represents the consistency coefficient within the wind farm. This represents the droop coefficient within the wind farm. Indicates the first m Consistency factor of the dominant wind turbine This indicates the grid frequency deviation at the wind farm's grid connection point.

[0070] In this embodiment, the formula for calculating the output power of the non-dominant fan is as follows: As a fitting coefficient for the maximum power point tracking curve, it is used to combine the real-time speed of the wind turbine rotor. To obtain the base power component based on maximum power point tracking; the first coupling compensation is used for initial power compensation adjustment; the proportional gain and integral gain are adjusted in conjunction with the consistency factor. and its reference values The difference is integrated and proportionally calculated to further refine the output power, making the operation of the non-dominant fan more stable and coordinated.

[0071] The formula for calculating the output power of the main fan is as follows: Real-time rotor speed The system combines the provision of base power; the second coupling compensation is specifically compensated for the main wind turbine; the consistency control component takes into account the difference in average consistency factors between the main wind turbine and the non-main wind turbines, as well as the grid frequency deviation, and achieves coordinated operation between the main wind turbine, the entire wind farm, and other non-main wind turbines through proportional integral calculation and adjustment of the droop coefficient.

[0072] This application provides precise output power calculation formulas for different types of wind turbines (dominant and non-dominant turbines) within a wind farm. These formulas not only consider the turbine's own rotational speed and maximum power point tracking characteristics but also fully incorporate factors such as coupling compensation and consistency control components. In this way, each wind turbine within the wind farm can output appropriate power according to its own role and operating state, effectively improving the overall operating efficiency and stability of the wind farm, better realizing the wind farm's frequency support function for the power grid, and adapting to complex power grid operating environments.

[0073] In this embodiment of the application, optionally, either the first coupling compensation amount or the second coupling compensation amount is calculated based on the following formula:

[0074] ;

[0075] in, This represents the coupling compensation amount for the k-th wind turbine. This represents the real-time changing active power of the k-th wind turbine. This represents the real-time changing reactive power of the k-th wind turbine. This represents the wind speed distribution correction factor for the k-th wind turbine. This represents the coefficient relating the reactive power of the k-th fan to the voltage phase angle. This represents the change in reactive power output of the k-th wind turbine. The coefficient representing the relationship between the reactive power and voltage amplitude of the kth wind turbine is denoted by , and C represents the reactive power-frequency coupling degree.

[0076] Wind speed distribution correction factor for the k-th wind turbine Calculated based on the following formula:

[0077] ;

[0078] in, K p Represents the proportionality coefficient. K i Represents the integral coefficient. s Let N represent the Laplace operator, and let N represent the total number of wind turbines in the wind farm. This represents the initial rotor speed of the i-th fan. This represents the initial rotor speed of the k-th fan.

[0079] In this embodiment, It reflects the real-time dynamic changes in wind turbine power. Used to correct the impact of different wind speed distributions on wind turbine power. , These two coefficients reflect the relationship between reactive power and voltage-related factors. This application's embodiments, through precise formula calculations, comprehensively consider various factors such as changes in the active and reactive power of the wind turbine, the relationship between reactive power and voltage, reactive power-frequency coupling, and wind speed distribution. This allows for accurate calculation of the wind turbine's coupling compensation and wind speed distribution correction factor, thereby achieving precise control over the wind turbine's output power. This helps improve the stability and reliability of wind farms in complex operating environments, better coordinates the operation of each wind turbine, optimizes the wind farm's power output to the grid, and enhances the overall operating efficiency and performance of the wind farm.

[0080] Optionally, in this embodiment of the application, the step 106 of "segmentedly controlling the rotational speed of each wind turbine in the wind farm to restore it to its normal operating value" includes:

[0081] For each wind turbine in the wind farm, the turbine's rotational speed is restored to its normal operating value in stages using the following formula:

[0082] ;

[0083] in, This indicates the power recovery at the specified speed, and t1 indicates the moment when the power compensation loop is closed. This represents the output power of the fan at time t1. This indicates the maximum power point tracking power. t rec,1 This represents the recovery time constant. In a specific embodiment,t rec,1 =10~15s.

[0084] In this embodiment, segmented control can be implemented to restore the speed of each wind turbine in the wind farm to its normal operating value, ensuring that the turbines can safely and stably return to normal operation after completing tasks such as frequency support. In the first stage, as time gradually increases from t1, the speed recovery power is adjusted linearly to allow the turbine speed to begin the recovery process smoothly. In the second stage, it is ensured that the turbine speed can recover to the normal operating value corresponding to the maximum power point tracking power. This embodiment, through the design of segmented control formulas, can precisely control the turbine speed recovery process according to different time stages. This control method considers the dynamic changes of the turbine after the power compensation loop is closed, making the turbine speed recovery process more stable and controllable, avoiding damage to the turbine equipment caused by excessively fast or slow speed recovery, and ensuring that the turbines can quickly and accurately return to normal operation, improving the operational reliability and stability of the wind farm and helping to maintain the normal power supply of the power system.

[0085] Furthermore, to verify the technical effectiveness of the wind farm frequency support control method provided in the embodiments of this application, a simulation experiment was conducted using a MATLAB / Simulink platform to build an IEEE standard four-machine two-zone system model containing a wind farm. The model is as follows: Figure 2 As shown, all system parameters are the same as their default parameters and are not modified.

[0086] like Figure 3 As shown, the active power coupling situation under different wind speed variations is presented. Generally speaking, the higher the wind speed of the wind turbine, the higher its coupling degree, and there is an intrinsic relationship between wind speed and coupling degree that is at least quadratic. Since the goodness of fit of the quadratic equation (0.998029) is not significantly improved compared to the goodness of fit of the cubic equation (0.998190), it can be assumed that y = 0.0161x exists. 2 The quadratic relationship is -0.2087x + 0.7221. The greater the difference in wind speed, the flatter the curve, indicating that the interaction between wind turbines at different wind speeds affects the coupling degree. High-wind-speed wind turbines will increase the coupling degree of low-wind-speed wind turbines, and vice versa.

[0087] like Figure 4 As shown, the coupling of active power and frequency during reactive power changes was verified. After compensating the proposed quantified coupled active power, the minimum frequency point increased and the rate of change at the fault time decreased, indicating that the reactive power-frequency coupling was suppressed.

[0088] Comparison of the two control methods:

[0089] Method 1: The wind farm uses only droop control without communication;

[0090] Method 2: The wind farm adopts a consistent and coordinated control system that considers coupling within the site.

[0091] To compare the impact of different strategies on frequency support in wind farms, the simulation was set so that bus 7 experienced a frequency response at 5 seconds. The frequency response results are as follows: Figure 5 As shown, compared with droop control without communication, the proposed method can effectively increase the minimum frequency point, while making the wind turbines in the wind farm use the rotor kinetic energy of the wind farm as much as possible, effectively reducing the maximum frequency deviation after a frequency event occurs.

[0092] In summary, (1) this application addresses the core problem of reactive power and frequency coupling caused by PLL dynamic errors under weak power grids. It constructs a calculation model for active power coupling value when reactive power changes, and solves the shortcomings of existing technologies that ignore the influence of PLL coupling and cannot quantitatively identify the degree of frequency interference caused by coupling by clarifying the judgment criteria for coupled frequency events. This avoids the problem of response lag or wind turbine overload caused by blind response in traditional frequency support. That is, in strong coupling scenarios, the consistency factor weight is actively reduced by the coupling correction term to ensure that the wind turbine is always in a safe operating range when contributing frequency support power. At the same time, according to the wind speed distribution in the wind farm, the wind speed correction factor is calculated to quantify the effect of mutual influence between wind turbines and introduced into the active power coupling value to realize the adaptive change of wind turbines at different wind speeds.

[0093] (2) This application provides a hierarchical collaborative control architecture for dominant and non-dominant wind turbines, enabling refined coordination of power output within the wind farm. For non-dominant wind turbines, their power output is calculated based on the consistency factor and coupling compensation of adjacent non-dominant wind turbines within the farm, ensuring matching of turbine output in local areas. For dominant wind turbines, their power output is globally optimized by integrating the consistency factor and coupling compensation of all non-dominant wind turbines within the farm, avoiding the contradiction of "some turbines being overloaded and some turbines being idle" under the traditional single control mode. While suppressing power coupling, it can achieve coordination of the output of wind turbine units within the farm based on the consistency algorithm.

[0094] (3) This application adopts "piecewise linear function control" in the speed recovery stage to effectively avoid the hidden danger of secondary frequency drop. This application clearly defines the recovery start condition of "frequency reaching extreme value and change rate of 0". After closing all compensation loops, the speed is recovered by piecewise linear function control: the power deficit is avoided by delaying the recovery, the interference to the normal power generation of the wind farm is reduced, and the balance between frequency stability and wind power output continuity is achieved.

[0095] Furthermore, as Figure 1 In its specific implementation, this application provides a frequency support control device for wind farms under weak power grid conditions that considers reactive power-frequency coupling, such as... Figure 6 As shown, the device includes:

[0096] The monitoring module is used to collect the grid frequency at the wind farm's grid connection point, the operating data of each wind turbine in the wind farm, and obtain the target data of the wind farm when the current grid is detected to be a weak grid.

[0097] The coupling degree calculation module is used to calculate the reactive power-frequency coupling degree of the wind farm based on the target data of the wind farm, and to determine whether there is a coupling-type frequency event in the current power grid based on the reactive power-frequency coupling degree and the grid frequency of the wind farm's grid connection point.

[0098] The factor calculation module is used to calculate the correction consistency factor for each wind turbine in the wind farm based on the operating data of each wind turbine in the wind farm and the reactive power-frequency coupling degree if there is a coupled frequency event in the current power grid.

[0099] The output power calculation module is used to calculate the first coupling compensation amount corresponding to each non-dominant wind turbine in the wind farm by means of a wind speed distribution correction factor, and to calculate the output power corresponding to the non-dominant wind turbine based on the correction consistency factor of the adjacent non-dominant wind turbines and the first coupling compensation amount.

[0100] The output power calculation module is also used to calculate the second coupling compensation amount corresponding to each dominant wind turbine in the wind farm by means of the wind speed distribution correction factor, and to calculate the output power corresponding to the dominant wind turbine based on the correction consistency factor of all non-dominant wind turbines in the wind farm and the second coupling compensation amount.

[0101] The control module is used to control each non-dominant wind turbine to operate according to its corresponding output power, and to control each dominant wind turbine to operate according to its corresponding output power. It also continuously monitors the grid frequency at the wind farm's grid connection point. When the grid frequency at the wind farm's grid connection point reaches an extreme value and the rate of change is 0, it shuts down the power compensation loops of each non-dominant wind turbine and each dominant wind turbine, and controls the speed of each wind turbine in the wind farm to return to normal operating value in stages.

[0102] Optionally, the target data includes the frequency deviation caused by reactive power fluctuations within the wind farm, the total reactive power change within the wind farm, the actual grid connection impedance of the wind farm's grid connection point, and the reference impedance of the wind farm's grid connection point; the coupling degree calculation module is used for:

[0103] The reactive-frequency coupling degree of the wind farm is calculated using the following formula:

[0104] ;

[0105] Where C represents the reactive-frequency coupling degree, This indicates the frequency deviation caused by reactive power fluctuations within the wind farm. This represents the total reactive power change within the wind farm. This represents the actual grid connection impedance of the wind farm's grid connection point. This represents the reference impedance at the grid connection point of the wind farm.

[0106] Optionally, the coupling degree calculation module is further configured to:

[0107] If the reactive power-frequency coupling degree is greater than a preset threshold, and the grid frequency at the wind farm's grid connection point is less than or equal to a first frequency threshold, then it is determined that a coupled frequency event exists in the current power grid; and,

[0108] If the reactive power-frequency coupling degree is greater than a preset threshold, and the grid frequency at the wind farm's grid connection point is greater than or equal to a second frequency threshold, then it is determined that a coupled frequency event exists in the current power grid.

[0109] Optionally, the operating data for each wind turbine includes the grid frequency on the grid-connected bus of the wind farm where the wind turbine is located, the initial rotor speed of the wind turbine, and the real-time rotor speed of the wind turbine; the factor calculation module is used for:

[0110] The corrected consistency factor for the i-th wind turbine in the wind farm is calculated using the following formula. :

[0111] ;

[0112] in, f 1 indicates the first frequency threshold. f 2 indicates the second frequency threshold. f This represents the grid frequency at the grid connection point of the wind farm where the i-th wind turbine is located. This represents the initial rotor speed of the i-th fan. This represents the real-time rotor speed of the i-th fan. and Let represent the maximum and minimum limits of the rotor speed of the i-th wind turbine in the wind farm, respectively, and let C represent the reactive-frequency coupling degree.

[0113] Optionally, the output power of the non-dominant fan can be calculated using the following formula:

[0114] ;

[0115] in, Indicates the first l The output power corresponding to each non-dominant fan. This represents the fitting coefficient of the maximum power point tracking curve. Indicates the first lReal-time rotor speed of a non-dominant fan Indicates the first l The first coupling compensation amount corresponding to each non-dominant fan. Indicates the first l Consistency factor of non-dominant wind turbines Indicates the first in the wind farm l Consistency factor of adjacent non-dominant wind turbines of a non-dominant wind turbine. k p Indicates proportional gain. k i Indicates integral gain;

[0116] The output power of the main fan is calculated using the following formula:

[0117] ;

[0118] in, Indicates the first m The output power corresponding to each main blower. This represents the fitting coefficient of the maximum power point tracking curve. Indicates the first m Real-time rotor speed of each main blower Indicates the first m The second coupling compensation amount corresponding to each main blower. This represents the consistency control component within the wind farm;

[0119] ;

[0120] Wherein, n-1 represents the total number of non-dominant wind turbines in the wind farm. and This represents the consistency coefficient within the wind farm. This represents the droop coefficient within the wind farm. Indicates the first m Consistency factor of the dominant wind turbine This indicates the grid frequency deviation at the wind farm's grid connection point.

[0121] Optionally, either the first coupling compensation amount or the second coupling compensation amount is calculated based on the following formula:

[0122] ;

[0123] in, This represents the coupling compensation amount for the k-th wind turbine. This represents the real-time changing active power of the k-th wind turbine. This represents the real-time changing reactive power of the k-th wind turbine. This represents the wind speed distribution correction factor for the k-th wind turbine. This represents the coefficient relating the reactive power of the k-th fan to the voltage phase angle. This represents the change in reactive power output of the k-th wind turbine. The coefficient representing the relationship between the reactive power and voltage amplitude of the kth wind turbine is denoted by , and C represents the reactive power-frequency coupling degree.

[0124] Wind speed distribution correction factor for the k-th wind turbine Calculated based on the following formula:

[0125] ;

[0126] in, K p Represents the proportionality coefficient. K i Represents the integral coefficient. s Let N represent the Laplace operator, and let N represent the total number of wind turbines in the wind farm. This represents the initial rotor speed of the i-th fan. This represents the initial rotor speed of the k-th fan.

[0127] Optionally, the control module is used for:

[0128] For each wind turbine in the wind farm, the turbine's rotational speed is restored to its normal operating value in stages using the following formula:

[0129] ;

[0130] in, This indicates the power recovery at the specified speed, and t1 indicates the moment when the power compensation loop is closed. This represents the output power of the fan at time t1. This indicates the maximum power point tracking power. t rec,1 This represents the recovery time constant.

[0131] It should be noted that other corresponding descriptions of the functional units involved in the wind farm frequency support control device considering reactive power-frequency coupling under a weak power grid provided in the embodiments of this application can be found in the following references. Figures 1 to 5 The corresponding descriptions in the method will not be repeated here.

[0132] This application also provides a computer device, which may specifically be a personal computer, a server, a network device, etc. Figure 7As shown, the computer device includes a bus, a processor, memory, and a communication interface, and may also include an input / output interface and a display device. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database stores location information. The network interface allows communication with external terminals via a network connection. When the computer program is executed by the processor, it implements the steps in the various method embodiments.

[0133] Those skilled in the art will understand that Figure 7 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0134] In one embodiment, a computer-readable storage medium is provided, which may be non-volatile or volatile, having stored thereon a computer program that, when executed by a processor, implements the steps in the above method embodiments.

[0135] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above method embodiments.

[0136] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0137] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0138] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0139] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A frequency support control method for wind farms considering reactive power-frequency coupling under weak power grid conditions, characterized in that, include: When the current power grid is detected to be a weak grid, the grid frequency at the wind farm's grid connection point, the operating data of each wind turbine in the wind farm, and the target data of the wind farm are collected. Based on the target data of the wind farm, the reactive power-frequency coupling degree of the wind farm is calculated, and based on the reactive power-frequency coupling degree and the grid frequency of the wind farm's grid connection point, it is determined whether there is a coupled frequency event in the current grid. If there are coupled frequency events in the current power grid, then the corrected consistency factor for each wind turbine in the wind farm is calculated based on the operating data of each wind turbine in the wind farm and the reactive power-frequency coupling degree. For each non-dominant wind turbine in the wind farm, the first coupling compensation amount corresponding to the non-dominant wind turbine is calculated by the wind speed distribution correction factor, and the output power corresponding to the non-dominant wind turbine is calculated according to the correction consistency factor of the adjacent non-dominant wind turbines and the first coupling compensation amount. For each dominant wind turbine in the wind farm, the second coupling compensation amount corresponding to the dominant wind turbine is calculated by the wind speed distribution correction factor, and the output power corresponding to the dominant wind turbine is calculated based on the correction consistency factor of all non-dominant wind turbines in the wind farm and the second coupling compensation amount. Each non-dominant wind turbine is controlled to operate according to its corresponding output power, and each dominant wind turbine is controlled to operate according to its corresponding output power. The grid frequency at the wind farm's grid connection point is continuously monitored. When the grid frequency at the wind farm's grid connection point reaches an extreme value and the rate of change is 0, the power compensation loops of each non-dominant wind turbine and each dominant wind turbine are shut down, and the speed of each wind turbine in the wind farm is controlled in stages to restore it to the normal operating value.

2. The method according to claim 1, characterized in that, The target data includes the frequency deviation caused by reactive power fluctuations in the wind farm, the total reactive power change in the wind farm, the actual grid connection impedance of the wind farm grid connection point, and the reference impedance of the wind farm grid connection point. The step of calculating the reactive-frequency coupling degree of the wind farm based on the target data of the wind farm includes: The reactive-frequency coupling degree of the wind farm is calculated using the following formula: ； Where C represents the reactive-frequency coupling degree, This indicates the frequency deviation caused by reactive power fluctuations within the wind farm. This represents the total reactive power change within the wind farm. This represents the actual grid connection impedance of the wind farm's grid connection point. This represents the reference impedance at the grid connection point of the wind farm.

3. The method according to claim 1, characterized in that, The step of determining whether a coupled frequency event exists in the current power grid based on the reactive power-frequency coupling degree and the grid frequency at the wind farm's grid connection point includes: If the reactive power-frequency coupling degree is greater than a preset threshold, and the grid frequency at the wind farm's grid connection point is less than or equal to a first frequency threshold, then it is determined that a coupled frequency event exists in the current power grid; and, If the reactive power-frequency coupling degree is greater than a preset threshold, and the grid frequency at the wind farm's grid connection point is greater than or equal to a second frequency threshold, then it is determined that a coupled frequency event exists in the current power grid.

4. The method according to claim 1, characterized in that, The operating data for each wind turbine includes the grid frequency on the grid-connected bus of the wind farm where the wind turbine is located, the initial rotor speed of the wind turbine, and the real-time rotor speed of the wind turbine; the step of calculating the correction consistency factor for each wind turbine in the wind farm based on the operating data of each wind turbine in the wind farm and the reactive power-frequency coupling degree includes: The corrected consistency factor for the i-th wind turbine in the wind farm is calculated using the following formula. : ； in, f 1 indicates the first frequency threshold. f 2 indicates the second frequency threshold. f This represents the grid frequency at the grid connection point of the wind farm where the i-th wind turbine is located. This represents the initial rotor speed of the i-th fan. This represents the real-time rotor speed of the i-th fan. and Let represent the maximum and minimum limits of the rotor speed of the i-th wind turbine in the wind farm, respectively, and let C represent the reactive-frequency coupling degree.

5. The method according to claim 1, characterized in that, The output power of the non-dominant fan is calculated using the following formula: ； in, Indicates the first l The output power corresponding to each non-dominant fan. This represents the fitting coefficient of the maximum power point tracking curve. Indicates the first l Real-time rotor speed of a non-dominant fan Indicates the first l The first coupling compensation amount corresponding to each non-dominant fan. Indicates the first l Consistency factor of non-dominant wind turbines Indicates the first in the wind farm l Consistency factor of adjacent non-dominant wind turbines of a non-dominant wind turbine. k p Indicates proportional gain. k i Indicates integral gain; The output power of the main fan is calculated using the following formula: ； in, Indicates the first m The output power corresponding to each main blower. This represents the fitting coefficient of the maximum power point tracking curve. Indicates the first m Real-time rotor speed of each main blower Indicates the first m The second coupling compensation amount corresponding to each main blower. This represents the consistency control component within the wind farm; ； Wherein, n-1 represents the total number of non-dominant wind turbines in the wind farm. and This represents the consistency coefficient within the wind farm. This represents the droop coefficient within the wind farm. Indicates the first m Consistency factor of the dominant wind turbine This indicates the grid frequency deviation at the wind farm's grid connection point.

6. The method according to claim 5, characterized in that, The first coupling compensation amount and either the second coupling compensation amount are calculated based on the following formula: ； in, This represents the coupling compensation amount for the k-th wind turbine. This represents the real-time changing active power of the k-th wind turbine. This represents the real-time changing reactive power of the k-th wind turbine. This represents the wind speed distribution correction factor for the k-th wind turbine. This represents the coefficient relating the reactive power of the k-th fan to the voltage phase angle. This represents the change in reactive power output of the k-th wind turbine. The coefficient representing the relationship between the reactive power and voltage amplitude of the kth wind turbine is denoted by , and C represents the reactive power-frequency coupling degree. Wind speed distribution correction factor for the k-th wind turbine Calculated based on the following formula: ； in, K p Represents the proportionality coefficient. K i Represents the integral coefficient. s Let N represent the Laplace operator, and let N represent the total number of wind turbines in the wind farm. This represents the initial rotor speed of the i-th fan. This represents the initial rotor speed of the k-th fan.

7. The method according to claim 1, characterized in that, The segmented control of restoring the rotational speed of each wind turbine in the wind farm to its normal operating value includes: For each wind turbine in the wind farm, the turbine's rotational speed is restored to its normal operating value in stages using the following formula: ； in, This indicates the power recovery at the specified speed, and t1 indicates the moment when the power compensation loop is closed. This represents the output power of the fan at time t1. This indicates the maximum power point tracking power. t rec,1 This represents the recovery time constant.

8. A frequency support control device for wind farms considering reactive power-frequency coupling under weak power grid conditions, characterized in that, include: The monitoring module is used to collect the grid frequency at the wind farm's grid connection point, the operating data of each wind turbine in the wind farm, and obtain the target data of the wind farm when the current grid is detected to be a weak grid. The coupling degree calculation module is used to calculate the reactive power-frequency coupling degree of the wind farm based on the target data of the wind farm, and to determine whether there is a coupling-type frequency event in the current power grid based on the reactive power-frequency coupling degree and the grid frequency of the wind farm's grid connection point. The factor calculation module is used to calculate the correction consistency factor for each wind turbine in the wind farm based on the operating data of each wind turbine in the wind farm and the reactive power-frequency coupling degree if there is a coupled frequency event in the current power grid. The output power calculation module is used to calculate the first coupling compensation amount corresponding to each non-dominant wind turbine in the wind farm by means of a wind speed distribution correction factor, and to calculate the output power corresponding to the non-dominant wind turbine based on the correction consistency factor of the adjacent non-dominant wind turbines and the first coupling compensation amount. The output power calculation module is also used to calculate the second coupling compensation amount corresponding to each dominant wind turbine in the wind farm by means of the wind speed distribution correction factor, and to calculate the output power corresponding to the dominant wind turbine based on the correction consistency factor of all non-dominant wind turbines in the wind farm and the second coupling compensation amount. The control module is used to control each non-dominant wind turbine to operate according to its corresponding output power, and to control each dominant wind turbine to operate according to its corresponding output power. It also continuously monitors the grid frequency at the wind farm's grid connection point. When the grid frequency at the wind farm's grid connection point reaches an extreme value and the rate of change is 0, it shuts down the power compensation loops of each non-dominant wind turbine and each dominant wind turbine, and controls the speed of each wind turbine in the wind farm to return to normal operating value in stages.

9. A storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the method of any one of claims 1 to 7.

10. A computer device, comprising a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method of any one of claims 1 to 7.

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