Wind turbine adaptive rotor kinetic energy control method, device, equipment and medium

Abstract

This invention provides a method, apparatus, device, and medium for adaptive rotor kinetic energy control of a wind turbine. The method includes: acquiring the initial rotational speed, real-time rotational speed, lower limit of rotational speed of the wind turbine rotor, and real-time frequency of the power grid when the real-time frequency of the power grid does not meet the rated frequency; determining the adaptive coefficient of the kinetic energy factor of the wind turbine rotor based on the initial rotational speed, real-time rotational speed, and lower limit of rotational speed; controlling the kinetic energy of the wind turbine rotor based on the adaptive coefficient of the kinetic energy factor and the real-time frequency of the power grid; and using the kinetic energy of the wind turbine rotor to adjust the real-time frequency of the power grid, so that the real-time frequency of the power grid meets the rated frequency after adjustment. This invention achieves dynamic adjustment of the adaptive coefficient of the kinetic energy factor and real-time quantification of the rotor kinetic energy release, improving the flexibility of control parameters and the utilization rate of the wind turbine rotor kinetic energy.

Description

Technical Field

[0001] This invention relates to the field of frequency control technology for new energy power systems, and in particular to a method, device, equipment and medium for adaptive rotor kinetic energy control of wind turbines. Background Technology

[0002] Currently, in new energy power systems, in order to solve the problem of decoupling between rotational speed and system frequency in traditional power systems, which leads to a significant reduction in system inertia and primary frequency regulation capability, rotor kinetic energy control strategies such as virtual inertia control, droop control, and integrated inertia control are often used.

[0003] However, the aforementioned rotor kinetic energy control strategy uses fixed coefficients, making it difficult to flexibly adjust control parameters according to the actual operating conditions of the wind turbine, resulting in low rotor kinetic energy utilization. Summary of the Invention

[0004] This invention provides a method, device, equipment, and medium for adaptive rotor kinetic energy control of wind turbines. It addresses the shortcomings of existing technologies where rotor kinetic energy control strategies use fixed coefficients, making it difficult to flexibly adjust control parameters according to the actual operating conditions of the wind turbine, resulting in low rotor kinetic energy utilization. The invention achieves real-time determination of the adaptive coefficient of the wind turbine rotor's kinetic energy factor during the frequency support stage, based on the real-time rotational speed, initial rotational speed, and lower speed limit of the wind turbine rotor. By controlling the kinetic energy of the wind turbine rotor according to the adaptive coefficient, it realizes dynamic adjustment of the adaptive coefficient of the kinetic energy factor and real-time quantification of the rotor kinetic energy release degree, improving the flexibility of control parameters and the utilization rate of the wind turbine rotor's kinetic energy.

[0005] This invention provides an adaptive rotor kinetic energy control method for wind turbines, comprising: When the real-time frequency of the power grid does not meet the rated frequency, the initial speed of the wind turbine rotor, the real-time speed of the wind turbine rotor, the lower limit of the speed of the wind turbine rotor, and the real-time frequency of the power grid are obtained. Based on the initial rotational speed, the real-time rotational speed, and the lower limit of the rotational speed, the adaptive coefficient of the kinetic energy factor of the wind turbine rotor is determined; Based on the adaptive coefficient of the kinetic energy factor and the real-time frequency of the power grid, the kinetic energy of the wind turbine rotor is controlled; the kinetic energy of the wind turbine rotor is used to adjust the real-time frequency of the power grid, and after adjustment, the real-time frequency of the power grid meets the rated frequency.

[0006] According to the present invention, an adaptive rotor kinetic energy control method for a wind turbine is provided. The step of determining the adaptive coefficient of the kinetic energy factor of the wind turbine rotor based on the initial rotational speed, the real-time rotational speed, and the lower limit of the rotational speed includes: determining a first result based on the initial rotational speed and the real-time rotational speed; the first result being used to characterize the deviation between the initial rotational speed and the real-time rotational speed; determining a second result based on the initial rotational speed and the lower limit of the rotational speed; the second result being used to characterize the deviation between the initial rotational speed and the lower limit of the rotational speed; and determining the adaptive coefficient of the kinetic energy factor based on the first result and the second result.

[0007] According to the present invention, an adaptive rotor kinetic energy control method for a wind turbine is provided. The step of determining the adaptive coefficient of the kinetic energy factor of the wind turbine rotor based on the initial rotational speed, the real-time rotational speed, and the lower limit of the rotational speed includes: acquiring the electromagnetic power and input mechanical power of the wind turbine; determining a first rotor kinetic energy based on the electromagnetic power and the input mechanical power; determining a second rotor kinetic energy based on the first rotor kinetic energy, the initial rotational speed, the real-time rotational speed, and the lower limit of the rotational speed; and determining the adaptive coefficient of the kinetic energy factor based on the first rotor kinetic energy and the second rotor kinetic energy.

[0008] According to the adaptive rotor kinetic energy control method for a wind turbine provided by the present invention, the step of determining a second rotor kinetic energy based on a first rotor kinetic energy, an initial rotational speed, a real-time rotational speed, and a lower limit of rotational speed includes: determining the mechanical inertia of the wind turbine based on the first rotor kinetic energy, the initial rotational speed, and the real-time rotational speed; and determining the second rotor kinetic energy based on the mechanical inertia, the initial rotational speed, and the lower limit of rotational speed.

[0009] According to the present invention, an adaptive rotor kinetic energy control method for a wind turbine is provided, wherein controlling the kinetic energy of the wind turbine rotor based on the adaptive coefficient of the kinetic energy factor and the real-time frequency of the power grid includes: determining a first adaptive power increment corresponding to the wind turbine rotor based on the adaptive coefficient of the kinetic energy factor and the real-time frequency of the power grid; and controlling the kinetic energy of the wind turbine rotor based on the first adaptive power increment.

[0010] According to a wind turbine adaptive rotor kinetic energy control method provided by the present invention, the step of determining the first adaptive power increment corresponding to the wind turbine rotor based on the kinetic energy factor adaptive coefficient and the real-time frequency of the power grid includes: determining a virtual inertia control coefficient based on the virtual inertia control sub-coefficient and the kinetic energy factor adaptive coefficient; determining a droop control coefficient based on the droop control sub-coefficient and the kinetic energy factor adaptive coefficient; and determining the first adaptive power increment based on the virtual inertia control coefficient, the droop control coefficient, and the real-time frequency of the power grid.

[0011] According to a wind turbine adaptive rotor kinetic energy control method provided by the present invention, determining the first adaptive power increment based on the virtual inertia control coefficient, the droop control coefficient, and the real-time frequency of the power grid includes: determining the frequency deviation change rate and the frequency change amount based on the real-time frequency of the power grid; determining the first sub-power increment based on the virtual inertia control coefficient and the frequency deviation change rate; determining the second sub-power increment based on the droop control coefficient and the frequency change amount; and determining the first adaptive power increment based on the first sub-power increment and the second sub-power increment.

[0012] According to the wind turbine adaptive rotor kinetic energy control method provided by the present invention, after controlling the kinetic energy of the wind turbine rotor based on the adaptive coefficient of the kinetic energy factor and the real-time frequency of the power grid, the method further includes: real-time acquisition of the electromagnetic power of the wind turbine; when the electromagnetic power of the wind turbine is equal to the initial electromagnetic power, determining the second adaptive power increment corresponding to the wind turbine based on the current duration, the ideal duration, and the first adaptive power increment; the initial electromagnetic power is the electromagnetic power of the wind turbine when the real-time frequency of the power grid meets the rated frequency; the current duration is the duration from the start time when the electromagnetic power of the wind turbine is equal to the initial electromagnetic power to the current time, and the ideal duration is the duration from the start time when the electromagnetic power of the wind turbine is equal to the initial electromagnetic power under ideal conditions to the end time.

[0013] The present invention also provides a wind turbine adaptive rotor kinetic energy control device, comprising the following modules: The acquisition module is used to acquire the initial speed of the wind turbine rotor, the real-time speed of the wind turbine rotor, the lower limit of the speed of the wind turbine rotor, and the real-time frequency of the power grid when the real-time frequency of the power grid does not meet the rated frequency. The determination module is used to determine the adaptive coefficient of the kinetic energy factor of the wind turbine rotor based on the initial rotational speed, the real-time rotational speed, and the lower limit of the rotational speed; The control module is used to control the kinetic energy of the wind turbine rotor based on the adaptive coefficient of the kinetic energy factor and the real-time frequency of the power grid; the kinetic energy of the wind turbine rotor is used to adjust the real-time frequency of the power grid, and the real-time frequency of the power grid after adjustment meets the rated frequency.

[0014] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the wind turbine adaptive rotor kinetic energy control method as described above.

[0015] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the wind turbine adaptive rotor kinetic energy control method as described above.

[0016] The present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the wind turbine adaptive rotor kinetic energy control method as described above.

[0017] The wind turbine adaptive rotor kinetic energy control method, device, equipment, and medium provided by this invention, when the wind turbine is in the frequency support phase, acquires the initial rotational speed, real-time rotational speed, lower limit of rotational speed of the wind turbine rotor, and real-time frequency of the power grid. The initial rotational speed is the rotational speed corresponding to the beginning of the frequency support phase. The frequency support phase is used to characterize the real-time frequency of the power grid not meeting the rated frequency. Based on the initial rotational speed, real-time rotational speed, and lower limit of rotational speed, the adaptive coefficient of the kinetic energy factor of the wind turbine rotor is determined. Based on the adaptive coefficient of the kinetic energy factor and the real-time frequency of the power grid, the kinetic energy of the wind turbine rotor is controlled. The kinetic energy of the wind turbine rotor is used to adjust the real-time frequency of the power grid to the rated frequency during the frequency support phase. Thus, during the frequency support phase, the adaptive coefficient of the kinetic energy factor of the wind turbine rotor is determined in real time according to the real-time rotational speed, initial rotational speed, and lower limit of rotational speed of the wind turbine rotor. The kinetic energy of the wind turbine rotor is controlled according to the adaptive coefficient, realizing dynamic adjustment of the adaptive coefficient of the kinetic energy factor and real-time quantification of the rotor kinetic energy release degree, improving the flexibility of control parameters and the utilization rate of wind turbine rotor kinetic energy. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0019] Figure 1 This is a flowchart illustrating the adaptive rotor kinetic energy control method for wind turbines provided by the present invention.

[0020] Figure 2 This is a schematic diagram of the structure of the WSCC three-machine nine-node simulation system provided by the present invention.

[0021] Figure 3 This is a schematic diagram of the adaptive rotor kinetic energy control system provided by the present invention.

[0022] Figure 4 This is a schematic diagram of the system frequency curves under different rotor kinetic energy control strategies provided by the present invention.

[0023] Figure 5 This is a schematic diagram of the power curves of a wind turbine under different rotor kinetic energy control strategies provided by the present invention.

[0024] Figure 6 These are schematic diagrams of the system frequency curves under two control conditions provided by this invention.

[0025] Figure 7 This is a schematic diagram of the electromagnetic power output curves of the wind turbine under two control conditions provided by the present invention.

[0026] Figure 8 This is a schematic diagram of the rotor kinetic energy factor curves of a wind turbine under two control conditions provided by the present invention.

[0027] Figure 9 This is a schematic diagram of the system frequency curves under different speed recovery strategies provided by the present invention.

[0028] Figure 10 This is a schematic diagram of the power curves of wind turbines under different speed recovery strategies provided by the present invention.

[0029] Figure 11 This is a schematic diagram of the structure of the wind turbine adaptive rotor kinetic energy control device provided by the present invention.

[0030] Figure 12 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0031] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0032] In traditional power systems, synchronous generator sets, with their primary frequency regulation capability, can effectively cope with system frequency fluctuations. However, wind power uses power electronic devices connected to the grid, decoupling its rotational speed from the system frequency, resulting in a significant reduction in system inertia and primary frequency regulation capability. Wind turbine primary frequency regulation rotor kinetic energy control technology, by controlling the release of the wind turbine rotor's kinetic energy, enables it to actively participate in grid frequency regulation, thus solving the problems inherent in traditional power systems.

[0033] Currently, common rotor kinetic energy control strategies include virtual inertia control, droop control, and integrated inertia control. Virtual inertia control adjusts the active power output of the wind turbine according to the frequency change rate by simulating the inertial characteristics of a synchronous generator; droop control generates additional active power commands by introducing frequency deviations to simulate the static frequency characteristics of a synchronous generator; integrated inertia control combines the two, possessing the advantages of fast response speed and long active power support time.

[0034] However, traditional rotor kinetic energy control strategies still have some limitations. On the one hand, traditional rotor kinetic energy control strategies use fixed coefficients, making it difficult to flexibly adjust control parameters according to the actual operating conditions of the wind turbine, resulting in low rotor kinetic energy utilization. On the other hand, if the wind turbine directly switches back to maximum power point tracking mode when exiting frequency regulation, it is prone to problems such as secondary frequency drops in the system.

[0035] Based on the above problems, this invention proposes an adaptive rotor kinetic energy control method for wind turbines. During the frequency support stage, the adaptive coefficient of the kinetic energy factor of the wind turbine rotor is determined in real time according to the real-time speed, initial speed and lower speed limit of the wind turbine rotor. The kinetic energy of the wind turbine rotor is controlled according to the adaptive coefficient, realizing dynamic adjustment of the adaptive coefficient of the kinetic energy factor and real-time quantification of the rotor kinetic energy release degree, improving the flexibility of control parameters and the utilization rate of wind turbine rotor kinetic energy.

[0036] The following is combined Figures 1-10 The present invention describes a wind turbine adaptive rotor kinetic energy control method, which is applicable to frequency support for any power grid. The execution subject of this method can be an electronic device or a wind turbine adaptive rotor kinetic energy control device installed in the electronic device. The wind turbine adaptive rotor kinetic energy control device can be implemented by software, hardware or a combination of both.

[0037] Figure 1 This is a flowchart illustrating the adaptive rotor kinetic energy control method for wind turbines provided by the present invention, as shown below. Figure 1 As shown, the method includes the following: Step 101: When the real-time frequency of the power grid does not meet the rated frequency, obtain the initial speed of the wind turbine rotor, the real-time speed of the wind turbine rotor, the lower limit of the speed of the wind turbine rotor, and the real-time frequency of the power grid.

[0038] Here, when the real-time frequency of the power grid does not meet the rated frequency, the wind turbine needs to enter the frequency support phase to adjust the frequency of the power grid.

[0039] Wherein, the initial rotational speed is the rotational speed of the wind turbine rotor at the beginning of the frequency support phase; the frequency support phase is used to characterize that the real-time frequency of the power grid does not meet the rated frequency.

[0040] Here, real-time rotational speed refers to the rotational speed of the wind turbine rotor at any given moment, and the unit of time can be hour, minute, or second.

[0041] Here, the lower limit of speed refers to the minimum speed of the wind turbine, which is generally around 0.7 per unit (pu). Here, 0.7 pu means that the actual speed is 70% of the rated speed.

[0042] Here, the real-time frequency of the power grid can also be referred to as the system frequency.

[0043] It should be noted that when the real-time frequency of the power grid does not meet the rated frequency, the wind turbine needs to release rotor kinetic energy or absorb excess kinetic energy in the power grid to exchange for electromagnetic frequency in order to support the power grid frequency to meet the rated frequency.

[0044] It should be noted that wind power grid connection models can be used to obtain data such as initial rotational speed, real-time rotational speed, lower limit of rotational speed, and real-time grid frequency. The wind power grid connection model can be based on the Western System Coordinating Council (WSCC) three-turbine nine-node system.

[0045] Figure 2 This is a schematic diagram of the WSCC three-machine nine-node simulation system provided by the present invention, as shown below. Figure 2 As shown, the WSCC three-machine nine-node simulation system 200 includes a hydroelectric generator set 201 (i.e. Figure 2 G1 in the middle), thermal power generating unit 202 (i.e. Figure 2 G2 in the middle), equivalent wind turbine 203 (i.e. Figure 2 The system consists of G3, bus 204, reactors 205 connecting different bus nodes, and transformer 206. In the simulation, the capacity of G1 and G2 is 100 MVA. G3 is equivalent to 35 identical wind turbines with a rated active power of 1.5 MW, operating at a rated wind speed of 10 m / s and a rated power factor of 0.9. The wind power penetration rate of the entire system is approximately 20%, and the load during steady-state operation is 255 MW. To enable the wind turbines to participate in frequency regulation more quickly, the dead zone of the droop control loop is set to 0. The disturbance, i.e., the start time of the frequency support node, is designed to be: 60 seconds after the start of the simulation, the load at node 5 suddenly increases by 20 MW.

[0046] Step 102: Based on the initial rotational speed, the real-time rotational speed, and the lower limit of the rotational speed, determine the adaptive coefficient of the kinetic energy factor of the wind turbine rotor.

[0047] Here, the kinetic energy factor is used to describe the ability of a wind turbine to store and release kinetic energy. Generally, the larger the kinetic energy factor, the better the ability to store or release energy.

[0048] The adaptive coefficient of the kinetic energy factor can be the kinetic energy factor itself, or it can be the sum of the kinetic energy factor and a constant.

[0049] It should be noted that the adaptive coefficient of the kinetic energy factor can be adjusted according to the real-time rotational speed.

[0050] Optionally, the adaptive coefficient of the kinetic energy factor can be obtained from the calculation formula or from the network model.

[0051] Optionally, the kinetic energy factor adaptive coefficient can be calculated based solely on the initial speed, real-time speed, and lower speed limit, or it can be calculated based on the initial speed, real-time speed, lower speed limit, and other parameters (such as the electromagnetic power and input mechanical power of the wind turbine).

[0052] Example 1: Determining the adaptive coefficient of the kinetic energy factor of the wind turbine rotor based on the initial rotational speed, the real-time rotational speed, and the lower limit of the rotational speed includes: determining a first result based on the initial rotational speed and the real-time rotational speed; the first result is used to characterize the deviation between the initial rotational speed and the real-time rotational speed; determining a second result based on the initial rotational speed and the lower limit of the rotational speed; the second result is used to characterize the deviation between the initial rotational speed and the lower limit of the rotational speed; and determining the adaptive coefficient of the kinetic energy factor based on the first result and the second result.

[0053] Optionally, the first result can be the difference between the power of the initial speed and the power of the real-time speed, or it can be the weighted difference between the power of the initial speed and the power of the real-time speed.

[0054] Optionally, the second result can be the difference between the power of the initial speed and the power of the lower limit of speed, or it can be the weighted difference between the power of the initial speed and the power of the lower limit of speed.

[0055] Optionally, the adaptive coefficient of the kinetic energy factor can be the ratio of the first result to the second result, or it can be obtained by inputting the first result and the second structure into the network model.

[0056] For example, the kinetic energy factor is calculated using the following formula (1): (1) in, Indicates the kinetic energy factor. Indicates the initial time. The initial rotational speed, Indicates the current time Real-time rotational speed, This indicates the lower limit of the rotational speed. Furthermore, the adaptive coefficient of the kinetic energy factor is... .

[0057] In this embodiment of the invention, a first result is determined based on the initial rotational speed and the real-time rotational speed, and a second result is determined based on the initial rotational speed and the lower limit of the rotational speed. In this way, the real-time performance of the first result is guaranteed by the real-time rotational speed, and the adaptive coefficient of the kinetic energy factor is further dynamically adjusted based on the real-time first result and the second result, thereby improving the flexibility of the control parameters.

[0058] Example 2: Determining the adaptive coefficient of the kinetic energy factor of the wind turbine rotor based on the initial rotational speed, the real-time rotational speed, and the lower limit of the rotational speed includes: acquiring the electromagnetic power and input mechanical power of the wind turbine; determining the first rotor kinetic energy based on the electromagnetic power and the input mechanical power; determining the second rotor kinetic energy based on the first rotor kinetic energy, the initial rotational speed, the real-time rotational speed, and the lower limit of the rotational speed; and determining the adaptive coefficient of the kinetic energy factor based on the first rotor kinetic energy and the second rotor kinetic energy.

[0059] Here, the electromagnetic power of the wind turbine is the electrical energy converted from mechanical energy by the wind turbine, and the input mechanical power is the mechanical energy converted from wind energy captured by the wind turbine. The electromagnetic power and input mechanical power can be obtained by using a wind power grid connection model.

[0060] Here, the first rotor kinetic energy is the rotor kinetic energy released from the initial moment to the current moment.

[0061] Here, the first rotor kinetic energy can be determined based on the difference between the input mechanical power and electromagnetic power during the time interval from the initial moment to the current moment.

[0062] For example, the kinetic energy of the first rotor is calculated using the following formula (2): (2) in, This represents the first rotor kinetic energy. Indicates the input mechanical power. Indicates electromagnetic power. Indicates the initial time. Indicates the current moment. express The integral of the difference between the input mechanical power and electromagnetic power up to time t.

[0063] Optionally, the second rotor kinetic energy can be calculated by substituting the first rotor kinetic energy, initial speed, real-time speed, and lower speed limit into the formula, or it can be obtained by directly outputting the first rotor kinetic energy, initial speed, real-time speed, and lower speed limit into the network model.

[0064] For example, determining the second rotor kinetic energy based on the first rotor kinetic energy, the initial rotational speed, the real-time rotational speed, and the lower limit of the rotational speed includes: determining the mechanical inertia of the wind turbine based on the first rotor kinetic energy, the initial rotational speed, and the real-time rotational speed; and determining the second rotor kinetic energy based on the mechanical inertia, the initial rotational speed, and the lower limit of the rotational speed.

[0065] Here, mechanical inertia is the measure of a rotor's (including wind turbines, transmission chains, and generator rotors) inertia in resisting changes in rotational speed and maintaining its original state of motion. Generally, the greater the mechanical inertia of a rotor, the more difficult it is to change its rotational speed.

[0066] Optionally, the mechanical inertia can be calculated by substituting the first rotor kinetic energy, initial speed, and real-time speed into the formula, or it can be obtained by inputting the first rotor kinetic energy, initial speed, and real-time speed into the network model.

[0067] For example, mechanical inertia can be calculated using the following formula (3): (3) in, Indicates mechanical inertia. This represents the kinetic energy of the first rotor.

[0068] Furthermore, formula (3) can be obtained by integrating both sides of the following formula (4): (4) in, This indicates the real-time rate of change of the wind turbine's rotational speed.

[0069] Here, the second rotor kinetic energy can be the maximum rotor kinetic energy. Specifically, the second rotor kinetic energy can be obtained by substituting the mechanical inertia, initial speed, and lower speed limit into the calculation formula; or it can be obtained by inputting the mechanical inertia, initial speed, and lower speed limit into the network model.

[0070] For example, the kinetic energy of the second rotor is calculated using the following formula (5): (5) in, This represents the second rotor kinetic energy, which is also the maximum rotor kinetic energy.

[0071] In this embodiment of the invention, the mechanical inertia of the wind turbine is determined based on the first rotor kinetic energy, the initial speed, and the real-time speed, ensuring the real-time nature and flexibility of the mechanical inertia, and further improving the accuracy and flexibility of the second rotor kinetic energy.

[0072] Optionally, the adaptive coefficient of the kinetic energy factor can be the ratio of the kinetic energy of the first rotor to that of the second rotor, or it can be obtained by inputting the kinetic energy of the first rotor and the kinetic energy of the second rotor into the network model.

[0073] In this embodiment of the invention, the flexibility of the control parameters is improved by dynamically adjusting the adaptive coefficient of the kinetic energy factor based on real-time data.

[0074] Step 103: Based on the adaptive coefficient of the kinetic energy factor and the real-time frequency of the power grid, control the kinetic energy of the wind turbine rotor.

[0075] The kinetic energy of the wind turbine rotor is used to adjust the real-time frequency of the power grid, and the adjusted real-time frequency of the power grid meets the rated frequency.

[0076] Optionally, the kinetic energy of the wind turbine rotor can be controlled directly based on the adaptive coefficient of the kinetic energy factor and the real-time frequency of the power grid; alternatively, an intermediate value can be determined based on the adaptive coefficient of the kinetic energy factor and the real-time frequency of the power grid, and the kinetic energy of the wind turbine rotor can be controlled based on the intermediate value.

[0077] For example, controlling the kinetic energy of the wind turbine rotor based on the adaptive coefficient of the kinetic energy factor and the real-time frequency of the power grid includes: determining a first adaptive power increment corresponding to the wind turbine rotor based on the adaptive coefficient of the kinetic energy factor and the real-time frequency of the power grid; and controlling the kinetic energy of the wind turbine rotor based on the first adaptive power increment.

[0078] Here, the first adaptive power increment is the core output of rotor kinetic energy control, which determines how much power the wind turbine generates during frequency regulation, and directly reflects the frequency regulation capability of the rotor kinetic energy control strategy.

[0079] Optionally, the first adaptive power can be calculated by substituting the adaptive coefficient of the kinetic energy factor and the real-time frequency of the power grid into the formula; or it can be determined based on the network model.

[0080] For example, determining the first adaptive power increment corresponding to the wind turbine rotor based on the kinetic factor adaptive coefficient and the real-time frequency of the power grid includes: determining a virtual inertia control coefficient based on the virtual inertia control sub-coefficient and the kinetic factor adaptive coefficient; determining a droop control coefficient based on the droop control sub-coefficient and the kinetic factor adaptive coefficient; and determining the first adaptive power increment based on the virtual inertia control coefficient, the droop control coefficient, and the real-time frequency of the power grid.

[0081] Here, the virtual inertia control coefficient is a control parameter that simulates the rotational inertia of a traditional synchronous wind turbine. When the system frequency changes abruptly, it can quickly respond by releasing or absorbing virtual kinetic energy, suppressing the frequency fluctuation amplitude and improving the grid's anti-disturbance capability.

[0082] Here, the droop control coefficient is used to describe the proportional coefficient of power-frequency or power-voltage droop characteristics, and is used to realize the automatic balance of active / reactive power among multiple distributed power sources, while maintaining the system frequency and voltage within the allowable operating range.

[0083] It should be noted that the coefficients of the virtual inertia control subsystem and the droop control subsystem are fixed parts, which can be set according to the magnitude of the disturbance, the operating conditions of the wind turbine, and the frequency regulation requirements of the system. The adaptive coefficient of the kinetic energy factor is the adaptive part.

[0084] Optionally, the virtual inertia control coefficient can be the sum of the virtual inertia control coefficient and the kinetic energy factor adaptive coefficient, or it can be a weighted sum of the virtual inertia control coefficient and the kinetic energy factor adaptive coefficient.

[0085] Optionally, the droop control coefficient can be the sum of the droop control coefficient and the kinetic factor adaptive coefficient, or it can be a weighted sum of the droop control coefficient and the kinetic factor adaptive coefficient.

[0086] For example, the virtual inertia control coefficient is calculated using the following formula (6): (6) in, This represents the virtual inertia control coefficient. This indicates that the virtual inertia control coefficients are a fixed part. The coefficients represent the adaptive part of the virtual inertia control coefficients. This is the adaptive coefficient of the kinetic energy factor.

[0087] For example, the droop control coefficient is calculated using the following formula (7): (7) in, This represents the droop control coefficient. This indicates that the droop control coefficient is a fixed part. This represents the coefficient of the adaptive part of the droop control coefficient.

[0088] Optionally, the first adaptive power increment can be calculated by a formula or obtained from a pre-trained network model.

[0089] In this embodiment of the invention, the virtual inertia control coefficient and droop control coefficient are dynamically adjusted by the kinetic energy factor adaptive coefficient. Then, based on the adjusted virtual inertia control coefficient, droop control coefficient and the real-time frequency of the power grid, the first adaptive power increment is dynamically adjusted, which improves the flexibility and real-time performance of the first adaptive power increment. Furthermore, the rotor kinetic energy release degree is quantified in real time based on the first adaptive power increment, which improves the flexibility of the control parameters and the utilization rate of the wind turbine rotor kinetic energy.

[0090] For example, determining the first adaptive power increment based on the virtual inertia control coefficient, the droop control coefficient, and the real-time frequency of the power grid includes: determining the frequency deviation change rate and the frequency change amount based on the real-time frequency of the power grid; determining a first sub-power increment based on the virtual inertia control coefficient and the frequency deviation change rate; determining a second sub-power increment based on the droop control coefficient and the frequency change amount; and determining the first adaptive power increment based on the first sub-power increment and the second sub-power increment.

[0091] Here, the rate of change of frequency deviation can be obtained from the real-time frequency and time difference at different times, and the frequency change is the frequency difference between adjacent times.

[0092] Here, the first sub-power increment and the second sub-power increment can be obtained through a function of the power increment controlled by the combined inertia.

[0093] Optionally, the first sub-power increment can be the product or a weighted product of the virtual inertia control coefficient and the frequency deviation rate of change. The second sub-power increment can be the product or a weighted product of the droop control coefficient and the frequency change. The first adaptive power increment can be the sum of the first sub-power increment and the second self-power increment, or a weighted sum of the two.

[0094] For example, the first adaptive power increment is calculated as follows: (8) (8) in, This represents the first adaptive power increment. Indicates the first sub-power increment. Indicates the second sub-power increment. This represents the rate of change of frequency deviation. It represents the change in frequency.

[0095] Figure 3 This is a schematic diagram of the adaptive rotor kinetic energy control system provided by the present invention, as shown below. Figure 3 As shown, the adaptive rotor kinetic energy control system 300 includes a Maximum Power Point Tracking (MPPT) control module 310, an adaptive control module 320, a multiplier 330, and a converter control system 340. The MPPT control module 310 includes a mapping diagram 311, and the adaptive control module 320 includes a low-pass filter 321, a high-pass filter 322, a virtual inertia control coefficient determination unit 323, and a droop control coefficient determination unit 324. The specific implementation process includes... (The sentence is incomplete and requires further context to be translated accurately.) Inputting the low-pass filter 321, the target deviation change rate is obtained, and the frequency change is... Inputting the target frequency change to the high-pass filter 322, the target deviation change rate and real-time rotational speed are input to the virtual inertia control coefficient determination unit 323 to obtain the first sub-power increment. The target frequency change rate and real-time rotational speed (i.e., ...) are then input to the virtual inertia control coefficient determination unit 323. Figure 3 In Input the droop control coefficient determination unit 324 to obtain the second sub-power increment, and obtain the first adaptive power increment (i.e., based on the first and second sub-power increments) Figure 3 In ); Real-time rotation speed In the input mapping diagram 311, the output power when not participating in frequency modulation and using MPPT control is obtained (i.e. Figure 3 In ), through the multiplier and Multiplying yields the target power increment (i.e. Figure 3 In The target power increment is input into the converter control system.

[0096] In this embodiment of the invention, the first sub-power increment and the second self-power increment are dynamically adjusted according to the adaptive control coefficient, the frequency deviation change rate and the frequency change amount. Then, the first adaptive power increment is determined according to the dynamically adjusted first sub-power increment and the second self-power increment, which improves the flexibility and real-time performance of the first adaptive power increment. Furthermore, the rotor kinetic energy release degree is quantified in real time according to the first adaptive power increment, which improves the flexibility of the control parameters and the utilization rate of the wind turbine rotor kinetic energy.

[0097] Furthermore, after controlling the kinetic energy of the wind turbine rotor based on the adaptive coefficient of the kinetic energy factor and the real-time frequency of the power grid, the method further includes: The electromagnetic power of the wind turbine is collected in real time; When the electromagnetic power of the wind turbine is equal to the initial electromagnetic power, a second adaptive power increment corresponding to the wind turbine is determined based on the current duration, the ideal duration, and the first adaptive power increment; the initial electromagnetic power is the electromagnetic power of the wind turbine when the real-time frequency of the power grid meets the rated frequency; the current duration is the duration from the start time when the electromagnetic power of the wind turbine is equal to the initial electromagnetic power to the current time; and the ideal duration is the duration from the start time when the electromagnetic power of the wind turbine is equal to the initial electromagnetic power to the end time under ideal conditions.

[0098] Here, after the wind turbine provides frequency support through rotor kinetic energy, the electromagnetic power of the rotor is collected in real time. When the electromagnetic power of the wind turbine is equal to the initial electromagnetic power, it indicates that the grid frequency has recovered to the rated frequency and the speed recovery stage needs to be entered.

[0099] In order to avoid the problem of a power step drop and a second drop in system frequency caused by directly exiting frequency regulation during the speed recovery phase, this invention flexibly determines the second adaptive power increment of the wind turbine during the speed recovery phase based on the current duration of the speed recovery phase, the ideal duration, and the first adaptive power increment.

[0100] Here, the ideal duration is the preset duration of the speed recovery phase.

[0101] Optionally, the second adaptive power increment can be calculated directly based on the current duration, the ideal duration, and the first adaptive power increment, or it can be determined based on the current duration, the ideal duration, and the first adaptive power increment, and the new adaptive power increment is compared with 0, and the larger value is selected as the second adaptive power increment.

[0102] For example, the second adaptive power increment is calculated as follows: (9) (9) in, This represents the second adaptive power increment. The function that calculates the first adaptive power increment is given by formula (8). Indicates the start time of the speed recovery phase. This indicates the current duration of the speed recovery phase. This indicates the ideal duration of the speed recovery phase.

[0103] In this embodiment of the invention, by sampling the current duration of the speed recovery phase, the ideal duration of the speed recovery phase, and the first adaptive power increment, a flexible exit strategy for the second adaptive power increment in the speed recovery phase is determined, which avoids the problem that a power step drop would be caused by directly exiting frequency modulation, resulting in a second drop in system frequency.

[0104] Figure 4 This is a schematic diagram of the system frequency curves under different rotor kinetic energy control strategies provided by the present invention, such as... Figure 4As shown, the horizontal axis represents time in seconds (s), and the vertical axis represents system frequency in Hertz (Hz). The solid blue line represents the time-frequency curve of the Maximum Power Point Tracking (MPPT) control method, the dashed red line represents the time-frequency curve of the virtual inertia control method, the dashed yellow line represents the time-frequency curve of the droop control method, and the dashed purple line represents the time-frequency curve of the integrated inertia control method. Figure 4 It can be seen that, after implementing virtual inertia control alone, the system's inertia response is enhanced. Compared with MPPT, virtual inertia control delays the occurrence time of the frequency minimum by approximately 0.2s, raising the frequency minimum to 49.84Hz. After implementing droop control alone, the system's primary frequency modulation capability is enhanced, delaying the occurrence time of the system's frequency minimum by approximately 1.1s, raising the frequency minimum to 49.87Hz. In this example, droop control has a better frequency modulation effect than virtual inertia control. After implementing integrated inertia control, the occurrence time of the frequency minimum is delayed by approximately 2.7s, raising the frequency minimum to 49.88Hz. The primary frequency modulation effect is better than both virtual inertia and droop control.

[0105] Figure 5 This is a schematic diagram of the wind turbine power curves under different rotor kinetic energy control strategies provided by the present invention, such as... Figure 5 As shown, the horizontal axis represents time in seconds (s), and the vertical axis represents power in units of units (pu). The solid blue line represents the time-power curve of the MPPT method, the dashed red line represents the time-power curve of the virtual inertia control method, the dashed yellow line represents the time-power curve of the droop control method, and the dashed purple line represents the time-power curve of the integrated inertia control method. Figure 5 It can be seen that, compared with MPPT control and the other two controls alone, the maximum power of the integrated inertia control is increased to 0.55 pu. The steady-state value of the integrated inertia control compared with MPPT without frequency modulation is... Figure 4 The maximum power was increased by 0.18 pu, releasing more rotor kinetic energy to participate in frequency modulation before the frequency reached its lowest point.

[0106] Figure 6 These are schematic diagrams of the system frequency curves under two control conditions provided by this invention, such as... Figure 6 As shown, the horizontal axis represents time (in seconds), and the vertical axis represents frequency (in Hz). The solid blue line represents the time-frequency curve of the constant-coefficient control method, and the dashed red line represents the time-frequency curve of the adaptive rotor kinetic energy control method. Figure 6It can be seen that, at a wind speed of 10 m / s, the adaptive control, compared with the fixed coefficient control, generates more power during the frequency support phase, raising the lowest frequency point from 49.67 Hz to 49.73 Hz and delaying the occurrence time of the lowest frequency point by 0.7 s, effectively improving the system's inertial response capability and primary frequency regulation capability.

[0107] Figure 7 These are schematic diagrams of the electromagnetic power output curves of wind turbines under two control methods provided by this invention, as shown below. Figure 7 As shown, the horizontal axis represents time (in seconds), and the vertical axis represents power (in pu). The solid blue line represents the time-power curve of the constant-coefficient control method, and the dashed red line represents the time-power curve of the adaptive rotor kinetic energy control method. Figure 7 It can be seen that the adaptive rotor kinetic energy control method improves the maximum power generation by 0.1 pu compared with the constant coefficient control method during the frequency descent phase.

[0108] Figure 8 This is a schematic diagram of the rotor kinetic energy factor curves of a wind turbine under two control conditions provided by the present invention, as shown below. Figure 8 As shown, the horizontal axis represents time (in seconds), and the vertical axis represents the rotor kinetic energy factor. The solid blue line represents the time-rotor kinetic energy factor curve for the constant coefficient control method, and the dashed red line represents the time-rotor kinetic energy factor curve for the adaptive rotor kinetic energy control method. Figure 8 It can be seen that the constant coefficient control utilizes about 37% of the wind turbine rotor kinetic energy to the maximum extent, while the adaptive control can utilize 51% of the wind turbine rotor kinetic energy to the maximum extent, thus improving the rotor kinetic energy utilization rate by more than one-third.

[0109] Figure 9 This is a schematic diagram of the system frequency curves under different speed recovery strategies provided by the present invention, such as... Figure 9 As shown, the horizontal axis represents time in seconds (S), and the vertical axis represents frequency in Hz. The solid blue line represents the time-frequency curve of the direct exit strategy, and the dashed red line represents the time-frequency curve of the flexible exit strategy.

[0110] Figure 10 This is a schematic diagram of the wind turbine power curves under different speed recovery strategies provided by the present invention, such as... Figure 10 As shown, the horizontal axis represents time in seconds (s), and the vertical axis represents power in power units (pu). The solid blue line represents the time-power curve for the direct exit strategy, and the dashed red line represents the time-power curve for the flexible exit strategy. (Combined with...) Figure 9 and Figure 10It can be seen that after the wind turbine meets the speed recovery criterion at 69 seconds, it enters the speed recovery phase. Under the flexible shutdown strategy, the electromagnetic power of the wind turbine slowly decreases, and by 79 seconds, the additional power output drops to 0. At this point, the active power of the wind turbine begins to recover according to the MPPT curve. Reflected in the frequency and speed curves, the flexible shutdown strategy, compared to the direct shutdown strategy, sacrifices the speed recovery speed of the wind turbine to some extent, but it smooths the frequency curve and effectively avoids the phenomenon of secondary frequency drops.

[0111] The wind turbine adaptive rotor kinetic energy control device provided by the present invention is described below. The wind turbine adaptive rotor kinetic energy control device described below and the wind turbine adaptive rotor kinetic energy control method described above can be referred to in correspondence.

[0112] Figure 11 This is a schematic diagram of the structure of the wind turbine adaptive rotor kinetic energy control device provided by the present invention, as shown below. Figure 11 As shown, the wind turbine adaptive rotor kinetic energy control device 1100 includes the following: The acquisition module 1110 is used to acquire the initial speed of the wind turbine rotor, the real-time speed of the wind turbine rotor, the lower limit of the speed of the wind turbine rotor, and the real-time frequency of the power grid when the real-time frequency of the power grid does not meet the rated frequency. The determination module 1120 is used to determine the adaptive coefficient of the kinetic energy factor of the wind turbine rotor based on the initial rotational speed, the real-time rotational speed, and the lower limit of the rotational speed. The control module 1130 is used to control the kinetic energy of the wind turbine rotor based on the adaptive coefficient of the kinetic energy factor and the real-time frequency of the power grid; the kinetic energy of the wind turbine rotor is used to adjust the real-time frequency of the power grid, and the real-time frequency of the power grid after adjustment meets the rated frequency.

[0113] In this embodiment of the invention, the determining module 1120 is specifically used to: determine a first result based on the initial rotational speed and the real-time rotational speed; the first result is used to characterize the deviation between the initial rotational speed and the real-time rotational speed; determine a second result based on the initial rotational speed and the lower limit of rotational speed; the second result is used to characterize the deviation between the initial rotational speed and the lower limit of rotational speed; and determine the adaptive coefficient of the kinetic energy factor based on the first result and the second result.

[0114] In this embodiment of the invention, the determining module 1120 is further specifically used for: acquiring the electromagnetic power and input mechanical power of the wind turbine; determining the first rotor kinetic energy based on the electromagnetic power and the input mechanical power; determining the second rotor kinetic energy based on the first rotor kinetic energy, the initial speed, the real-time speed and the lower limit of the speed; and determining the adaptive coefficient of the kinetic energy factor based on the first rotor kinetic energy and the second rotor kinetic energy.

[0115] In this embodiment of the invention, the determining module 1120 is further specifically used to: determine the mechanical inertia of the wind turbine based on the first rotor kinetic energy, the initial rotational speed and the real-time rotational speed; and determine the second rotor kinetic energy based on the mechanical inertia, the initial rotational speed and the lower limit of the rotational speed.

[0116] In this embodiment of the invention, the control module 1130 is specifically used to: determine the first adaptive power increment corresponding to the wind turbine rotor based on the adaptive coefficient of the kinetic energy factor and the real-time frequency of the power grid; and control the kinetic energy of the wind turbine rotor based on the first adaptive power increment.

[0117] In this embodiment of the invention, the control module 1130 is further specifically configured to: determine the virtual inertia control coefficient based on the virtual inertia control sub-coefficient and the kinetic energy factor adaptive coefficient; determine the droop control coefficient based on the droop control sub-coefficient and the kinetic energy factor adaptive coefficient; and determine the first adaptive power increment based on the virtual inertia control coefficient, the droop control coefficient, and the real-time frequency of the power grid.

[0118] In this embodiment of the invention, the control module 1130 is further specifically configured to: determine the frequency deviation change rate and the frequency change amount based on the real-time frequency of the power grid; determine the first sub-power increment based on the virtual inertia control coefficient and the frequency deviation change rate; determine the second sub-power increment based on the droop control coefficient and the frequency change amount; and determine the first adaptive power increment based on the first sub-power increment and the second sub-power increment.

[0119] In this embodiment of the invention, after controlling the kinetic energy of the wind turbine rotor based on the adaptive coefficient of the kinetic energy factor and the real-time frequency of the power grid, the wind turbine adaptive rotor kinetic energy control device 1100 further includes a second adaptive power increment determination module, specifically used for: real-time acquisition of the electromagnetic power of the wind turbine; when the electromagnetic power of the wind turbine is equal to the initial electromagnetic power, determining the second adaptive power increment corresponding to the wind turbine based on the current duration, the ideal duration, and the first adaptive power increment; the initial electromagnetic power is the electromagnetic power of the wind turbine when the real-time frequency of the power grid meets the rated frequency; the current duration is the duration from the start time when the electromagnetic power of the wind turbine is equal to the initial electromagnetic power to the current time, and the ideal duration is the duration from the start time when the electromagnetic power of the wind turbine is equal to the initial electromagnetic power under ideal conditions to the end time.

[0120] Figure 12 This is a schematic diagram of the structure of the electronic device provided by the present invention, such as... Figure 12As shown, the electronic device may include: a processor 1210, a communications interface 1220, a memory 1230, and a communication bus 1240, wherein the processor 1210, the communications interface 1220, and the memory 1230 communicate with each other through the communication bus 1240. The processor 1210 can call logic instructions in the memory 1230 to execute a wind turbine adaptive rotor kinetic energy control method. This method includes: when the real-time frequency of the power grid does not meet the rated frequency, acquiring the initial speed of the wind turbine rotor, the real-time speed of the wind turbine rotor, the lower limit of the speed of the wind turbine rotor, and the real-time frequency of the power grid; determining the adaptive coefficient of the kinetic energy factor of the wind turbine rotor based on the initial speed, the real-time speed, and the lower limit of the speed; controlling the kinetic energy of the wind turbine rotor based on the adaptive coefficient of the kinetic energy factor and the real-time frequency of the power grid; the kinetic energy of the wind turbine rotor is used to adjust the real-time frequency of the power grid, and after adjustment, the real-time frequency of the power grid meets the rated frequency.

[0121] Furthermore, the logical instructions in the aforementioned memory 1230 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, essentially, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0122] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the wind turbine adaptive rotor kinetic energy control method provided by the above methods. The method includes: when the real-time frequency of the power grid does not meet the rated frequency, acquiring the initial rotational speed of the wind turbine rotor, the real-time rotational speed of the wind turbine rotor, the lower limit of the rotational speed of the wind turbine rotor, and the real-time frequency of the power grid; determining the adaptive coefficient of the kinetic energy factor of the wind turbine rotor based on the initial rotational speed, the real-time rotational speed, and the lower limit of the rotational speed; controlling the kinetic energy of the wind turbine rotor based on the adaptive coefficient of the kinetic energy factor and the real-time frequency of the power grid; the kinetic energy of the wind turbine rotor is used to adjust the real-time frequency of the power grid, and after adjustment, the real-time frequency of the power grid meets the rated frequency.

[0123] In another aspect, the present invention also provides a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the wind turbine adaptive rotor kinetic energy control method provided by the methods described above. The method includes: when the real-time frequency of the power grid does not meet the rated frequency, acquiring the initial rotational speed of the wind turbine rotor, the real-time rotational speed of the wind turbine rotor, a lower limit of the rotational speed of the wind turbine rotor, and the real-time frequency of the power grid; determining an adaptive coefficient of kinetic energy factor for the wind turbine rotor based on the initial rotational speed, the real-time rotational speed, and the lower limit of the rotational speed; controlling the kinetic energy of the wind turbine rotor based on the adaptive coefficient of kinetic energy factor and the real-time frequency of the power grid; the kinetic energy of the wind turbine rotor is used to adjust the real-time frequency of the power grid, and after adjustment, the real-time frequency of the power grid meets the rated frequency.

[0124] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0125] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0126] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for adaptive rotor kinetic energy control of a wind turbine, characterized in that, include: When the real-time frequency of the power grid does not meet the rated frequency, the initial speed of the wind turbine rotor, the real-time speed of the wind turbine rotor, the lower limit of the speed of the wind turbine rotor, and the real-time frequency of the power grid are obtained. Based on the initial rotational speed, the real-time rotational speed, and the lower limit of the rotational speed, the adaptive coefficient of the kinetic energy factor of the wind turbine rotor is determined; Based on the adaptive coefficient of the kinetic energy factor and the real-time frequency of the power grid, the kinetic energy of the wind turbine rotor is controlled; the kinetic energy of the wind turbine rotor is used to adjust the real-time frequency of the power grid, and the real-time frequency of the power grid after adjustment meets the rated frequency.

2. The wind turbine adaptive rotor kinetic energy control method according to claim 1, characterized in that, The step of determining the adaptive coefficient of the kinetic energy factor of the wind turbine rotor based on the initial rotational speed, the real-time rotational speed, and the lower limit of the rotational speed includes: Based on the initial rotational speed and the real-time rotational speed, a first result is determined; the first result is used to characterize the deviation between the initial rotational speed and the real-time rotational speed. Based on the initial rotational speed and the lower limit of rotational speed, a second result is determined; the second result is used to characterize the deviation between the initial rotational speed and the lower limit of rotational speed. Based on the first result and the second result, the adaptive coefficient of the kinetic energy factor is determined.

3. The wind turbine adaptive rotor kinetic energy control method according to claim 1, characterized in that, The step of determining the adaptive coefficient of the kinetic energy factor of the wind turbine rotor based on the initial rotational speed, the real-time rotational speed, and the lower limit of the rotational speed includes: Obtain the electromagnetic power and input mechanical power of the wind turbine; The first rotor kinetic energy is determined based on the electromagnetic power and the input mechanical power; The second rotor kinetic energy is determined based on the first rotor kinetic energy, the initial rotational speed, the real-time rotational speed, and the lower limit of the rotational speed; The adaptive coefficient of the kinetic energy factor is determined based on the first rotor kinetic energy and the second rotor kinetic energy.

4. The wind turbine adaptive rotor kinetic energy control method according to claim 3, characterized in that, Determining the second rotor kinetic energy based on the first rotor kinetic energy, the initial rotational speed, the real-time rotational speed, and the lower limit of the rotational speed includes: The mechanical inertia of the wind turbine is determined based on the first rotor kinetic energy, the initial rotational speed, and the real-time rotational speed. The second rotor kinetic energy is determined based on the mechanical inertia, the initial rotational speed, and the lower limit of the rotational speed.

5. The wind turbine adaptive rotor kinetic energy control method according to any one of claims 1 to 4, characterized in that, The method of controlling the kinetic energy of the wind turbine rotor based on the adaptive coefficient of the kinetic energy factor and the real-time frequency of the power grid includes: Based on the adaptive coefficient of the kinetic energy factor and the real-time frequency of the power grid, the first adaptive power increment corresponding to the wind turbine rotor is determined. The kinetic energy of the wind turbine rotor is controlled based on the first adaptive power increment.

6. The wind turbine adaptive rotor kinetic energy control method according to claim 5, characterized in that, The step of determining the first adaptive power increment corresponding to the wind turbine rotor based on the adaptive coefficient of the kinetic energy factor and the real-time frequency of the power grid includes: The virtual inertia control coefficients are determined based on the virtual inertia control coefficients and the kinetic energy factor adaptive coefficients. The droop control coefficient is determined based on the droop control coefficient and the kinetic energy factor adaptive coefficient. The first adaptive power increment is determined based on the virtual inertia control coefficient, the droop control coefficient, and the real-time frequency of the power grid.

7. The wind turbine adaptive rotor kinetic energy control method according to claim 6, characterized in that, Determining the first adaptive power increment based on the virtual inertia control coefficient, the droop control coefficient, and the real-time frequency of the power grid includes: Based on the real-time frequency of the power grid, determine the frequency deviation change rate and the frequency change amount; The first sub-power increment is determined based on the virtual inertia control coefficient and the frequency deviation change rate; The second sub-power increment is determined based on the droop control coefficient and the frequency change. The first adaptive power increment is determined based on the first sub-power increment and the second sub-power increment.

8. The wind turbine adaptive rotor kinetic energy control method according to claim 5, characterized in that, After controlling the kinetic energy of the wind turbine rotor based on the adaptive coefficient of the kinetic energy factor and the real-time frequency of the power grid, the method further includes: The electromagnetic power of the wind turbine is collected in real time; When the electromagnetic power of the wind turbine is equal to the initial electromagnetic power, a second adaptive power increment corresponding to the wind turbine is determined based on the current duration, the ideal duration, and the first adaptive power increment; the initial electromagnetic power is the electromagnetic power of the wind turbine when the real-time frequency of the power grid meets the rated frequency; the current duration is the duration from the start time when the electromagnetic power of the wind turbine is equal to the initial electromagnetic power to the current time; and the ideal duration is the duration from the start time when the electromagnetic power of the wind turbine is equal to the initial electromagnetic power to the end time under ideal conditions.

9. A wind turbine adaptive rotor kinetic energy control device, characterized in that, include: The acquisition module is used to acquire the initial speed of the wind turbine rotor, the real-time speed of the wind turbine rotor, the lower limit of the speed of the wind turbine rotor, and the real-time frequency of the power grid when the real-time frequency of the power grid does not meet the rated frequency. The determination module is used to determine the adaptive coefficient of the kinetic energy factor of the wind turbine rotor based on the initial rotational speed, the real-time rotational speed, and the lower limit of the rotational speed; The control module is used to control the kinetic energy of the wind turbine rotor based on the adaptive coefficient of the kinetic energy factor and the real-time frequency of the power grid; the kinetic energy of the wind turbine rotor is used to adjust the real-time frequency of the power grid, and the real-time frequency of the power grid after adjustment meets the rated frequency.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements the wind turbine adaptive rotor kinetic energy control method as described in any one of claims 1 to 8.

11. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the wind turbine adaptive rotor kinetic energy control method as described in any one of claims 1 to 8.

12. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the wind turbine adaptive rotor kinetic energy control method as described in any one of claims 1 to 8.

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