Wind turbine generator energy storage grid-connected control method and device and terminal equipment

Abstract

The invention provides a wind turbine generator system energy storage grid-connected control method and device and terminal equipment, and relates to the technical field of wind turbine generator system grid-connected control, and the method comprises the steps: obtaining the generator rotating speed of a target wind turbine generator system and the active power output by the target wind turbine generator system under the condition that the current wind speed reaches the power generation wind speed of the wind turbine generator system; determining a first comparison result of the generator speed of the target wind turbine generator and the grid-connected speed critical value and a second comparison result of the active power output by the target wind turbine generator and the active power threshold value, and controlling the grid-connected operation mode of the target wind turbine generator according to the first comparison result and the second comparison result; and when the target wind turbine generator is in any grid-connected operation state, determining the generator torque of the target wind turbine generator according to the current wind speed change frequency or the current active power change frequency of the target wind turbine generator. The output electric energy of the wind turbine generator is stabilized, and the power grid stability and the energy utilization rate are improved.

Description

Technical Field

[0001] The present application relates to the technical field of wind turbine grid-connected control, and specifically to a wind turbine energy storage grid-connected control method, a wind turbine energy storage grid-connected control device and a terminal device. Background Art

[0002] At present, the terrain where wind turbines are located is complex and has relatively high turbulence intensity. The presence of turbulence will have a significant impact on the wind field structure in mountainous and hilly areas. For example, vortices and disturbances in turbulence will constantly change the speed and direction of the fluid, making the changes in wind speed and direction more frequent and drastic. When the wind turbine is in the grid-connected operation stage and encounters a sudden change in wind direction and a sudden change in low wind speed, the yaw speed of the unit cannot keep up with the change in wind direction, resulting in the generator speed being lower than the grid-connected speed in a short period of time and shutting down. After the sudden change in wind direction and wind speed ends, although the wind speed is greater than the unit's cut-in wind speed, the unit can only start to connect to the grid after it has completed the system's status self-check and the automatic test of safety items from shutdown, which leads to a decrease in wind energy utilization and affects the stability of the power grid.

[0003] At present, the main improvements to this phenomenon are reflected in increasing the height of the tower, lengthening the blades, and optimizing the measurement accuracy of wind speed and direction sensors. The former two are subject to modification restrictions and serious safety hazards. Although the latter can improve the measurement accuracy of wind speed and direction, the response speed of the yaw system of the wind turbine is fixed and cannot change suddenly like the wind speed and direction. Therefore, the improvement effect is not obvious. Summary of the invention

[0004] The purpose of the embodiments of the present application is to provide a wind turbine energy storage grid-connected control method, a wind turbine energy storage grid-connected control device and a terminal device to solve the above-mentioned problems.

[0005] In order to achieve the above-mentioned object, the first aspect of the present application provides a wind turbine energy storage grid-connected control method, comprising:

[0006] When the current wind speed reaches the power generation wind speed of the wind turbine generator set, the generator speed of the target wind turbine generator set and the active power output by the target wind turbine generator set are obtained;

[0007] Determine a first comparison result between the generator speed of the target wind turbine generator set and a critical value of the grid-connected speed and a second comparison result between the active power output by the target wind turbine generator set and an active power threshold, and control the grid-connected operation mode of the target wind turbine generator set according to the first comparison result and the second comparison result;

[0008] When the target wind turbine set is in any grid-connected operation state, the generator torque of the target wind turbine set is determined according to the current wind speed change frequency or the current active power change frequency of the target wind turbine set, and the generator of the target wind turbine set is controlled to operate at the determined generator torque.

[0009] Optionally, the first comparison result includes:

[0010] The generator speed of the target wind turbine generator set is greater than the grid-connected speed critical value, or the generator speed of the target wind turbine generator set is less than the grid-connected speed critical value;

[0011] The second comparison result includes:

[0012] The active power output by the target wind turbine generator set is greater than the active power threshold, or the active power output by the target wind turbine generator set is less than the active power threshold.

[0013] Optionally, the grid-connected operation mode includes a generator mode and a motor mode; and controlling the grid-connected operation state of the target wind turbine generator set according to the first comparison result and the second comparison result includes:

[0014] If the generator speed of the target wind turbine generator set is greater than the grid-connected speed critical value, and the active power output by the target wind turbine generator set is greater than the active power threshold, control the target wind turbine generator set to operate in a generator mode, so that the target wind turbine generator set outputs electric energy to the battery energy storage system;

[0015] If the generator speed of the target wind turbine set is less than the grid-connected speed critical value, and the active power output by the target wind turbine set is less than the active power threshold, the target wind turbine set is controlled to operate in motor mode so that the battery energy storage system releases electrical energy to the target wind turbine set.

[0016] Optionally, when the target wind turbine group operates in a motor mode, the method further includes:

[0017] The electric energy release power of the battery energy storage system is continuously obtained, and if the duration for which the electric energy release power of the battery energy storage system is greater than the electric energy release power threshold reaches a preset duration, the target wind turbine group is controlled to stop operating.

[0018] Optionally, before determining the generator torque of the target wind turbine generator set according to the current wind speed change frequency or the current active power change frequency of the target wind turbine generator set, the method further includes:

[0019] Continuously obtain the ambient wind speed, determine the wind speed change rate of the current wind speed of each sampling point relative to the historical wind speed of the previous sampling point adjacent to the current sampling point within a preset period, and take the average of all wind speed change rates within the preset period as the current wind speed change frequency; or

[0020] The active power output by the target wind turbine is continuously acquired, and the active power change rate of the current active power of each sampling point relative to the historical active power of the previous sampling point adjacent to the current sampling point within the preset time period is determined, and the average of all active power change rates within the preset time period is used as the current active power change frequency of the target wind turbine.

[0021] Optionally, determining the generator torque of the target wind turbine generator set according to the current wind speed change frequency or the current active power change frequency of the target wind turbine generator set includes:

[0022] If the current wind speed change frequency is lower than the wind speed change frequency threshold, or the current active power change frequency is lower than the active power change frequency threshold, calling the first control model to determine the generator torque of the target wind turbine generator set;

[0023] If the current wind speed change frequency is not lower than the wind speed change frequency threshold, or the current active power change frequency is not lower than the active power change frequency threshold, the second control model is called to determine the generator torque of the target wind turbine.

[0024] Optionally, the first control model is a PID fuzzy control model, and the PID fuzzy control model includes:

[0025] A pre-established input variable fuzzy set, a fuzzy rule base and a PID controller, wherein the input variables include wind speed and wind speed change frequency, or active power and active power change frequency, the input variable fuzzy set includes different variable states corresponding to different values ​​of each input variable, the fuzzy rule base includes adjustment rules for PID controller parameters corresponding to different input variables, and the PID controller is:

[0026]

[0027] Where u is the generator torque, K p , K i , K d is the PID controller parameter, e is the error between the reference value and the actual value of the generator torque, and t is the current moment;

[0028] Calling the first control model to determine the generator torque of the target wind turbine generator set includes:

[0029] In the case where the generator torque of the target wind turbine is determined according to the current wind speed change frequency, the current wind speed and the wind speed change frequency are used as inputs, and a first variable state corresponding to the current wind speed and a second variable state corresponding to the wind speed change frequency within the preset time period are determined according to the input variable fuzzy set; or

[0030] In the case of determining the generator torque of the target wind turbine group according to the current active power change frequency of the target wind turbine group, taking the current active power output by the target wind turbine group and the current active power change frequency of the target wind turbine group as input, determining the third variable state corresponding to the current active power and the fourth variable state corresponding to the current active power change frequency according to the input variable fuzzy set;

[0031] Determine a first target adjustment rule for a PID controller parameter under the first variable state and the second variable state by using the fuzzy rule base, or determine a second target adjustment rule for a PID controller parameter under the third variable state and the fourth variable state by using the fuzzy rule base;

[0032] After adjusting the PID controller parameters of the PID controller based on the first target adjustment rule or the second target adjustment rule, the generator torque of the target wind turbine set is outputted through the PID controller.

[0033] Optionally, the second control model is obtained by training a neural network with historical data of generator torque corresponding to the target wind turbine at different wind speeds, or the second control model is obtained by training a neural network with historical data of generator torque corresponding to different active powers output by the target wind turbine;

[0034] Calling the second control model to determine the generator torque of the target wind turbine generator set includes:

[0035] In the case where the generator torque of the target wind turbine set is determined according to the current wind speed variation frequency, the current wind speed is used as input and the generator torque of the target wind turbine set is output through the second control model; or

[0036] When the generator torque of the target wind turbine is determined according to the current active power change frequency of the target wind turbine, the generator torque of the target wind turbine is outputted through the second control model with the current active power outputted by the target wind turbine as input.

[0037] In a second aspect of the present application, a wind turbine energy storage grid-connected control device is provided, comprising:

[0038] A data acquisition module is configured to acquire the generator speed of the target wind turbine and the active power output by the target wind turbine when the current wind speed reaches the wind speed of the wind turbine;

[0039] a grid-connected mode matching module, configured to determine a first comparison result between the generator speed of the target wind turbine and a grid-connected speed critical value and a second comparison result between the active power output by the target wind turbine and an active power threshold, and control the grid-connected operation mode of the target wind turbine according to the first comparison result and the second comparison result;

[0040] The wind turbine control module is configured to determine the generator torque of the target wind turbine according to the current wind speed change frequency or the current active power change frequency of the target wind turbine when the target wind turbine is in any grid-connected operation state, and control the generator of the target wind turbine to operate at the determined generator torque.

[0041] In a third aspect of the present application, a terminal device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned wind turbine energy storage grid-connected control method when executing the computer program.

[0042] The embodiments provided in this application have the following beneficial effects:

[0043] The present application monitors the generator speed and output active power of the wind turbine set in real time during the operation of the wind turbine set, compares the generator speed and output active power with corresponding thresholds respectively and switches the grid-connected operation mode of the wind turbine set according to the comparison results, and controls the generator torque of the wind turbine set in real time based on the changing frequency of wind speed or the changing frequency of active power output by the wind turbine set during the grid-connected operation of the wind turbine set, thereby ensuring that the wind turbine set can continuously operate in grid connection without being disconnected from the grid when the operating environment changes, thereby achieving stabilization of the output power of the wind turbine set and improving grid stability and energy utilization.

[0044] Other features and advantages of the embodiments or implementations of the present application will be described in detail in the subsequent specific implementation section. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The accompanying drawings are used to provide a further understanding of the embodiments of the present application and constitute a part of the specification. Together with the following specific implementations, they are used to explain the embodiments of the present application, but do not constitute a limitation on the embodiments of the present application. In the accompanying drawings:

[0046] Figure 1 A method flow chart schematically shows a method for controlling wind turbine energy storage and grid connection according to an embodiment of the present application;

[0047] Figure 2 The schematic diagram of the structure of the grid-connected control system of the embodiment of the present application is shown schematically;

[0048] Figure 3 The schematic diagram of the structure of the wind turbine converter and the battery energy storage system according to the embodiment of the present application is shown;

[0049] Figure 4 A schematic diagram of a wind turbine grid-connected operation state control flow chart according to an embodiment of the present application is shown;

[0050] Figure 5 The schematic diagram of the connection structure between the wind turbine converter and the battery energy storage system according to the embodiment of the present application is shown;

[0051] Figure 6 A schematic block diagram of a wind turbine energy storage grid-connected control device according to an embodiment of the present application is schematically shown;

[0052] Figure 7 A schematic diagram of the structure of a terminal device according to an embodiment of the present application is shown schematically.

[0053] Description of Reference Numerals

[0054] 10-terminal device, 100-processor, 101-memory, 102-computer program. DETAILED DESCRIPTION

[0055] The specific implementation of the embodiment of the present application is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the embodiment of the present application, and is not used to limit the embodiment of the present application.

[0056] In order to solve the above problems, Figure 1 As shown, the first aspect of the present application provides a wind turbine energy storage grid-connected control method, characterized by comprising:

[0057] S100, when the current wind speed reaches the power generation wind speed of the wind turbine generator set, obtaining the generator speed of the target wind turbine generator set and the active power output by the target wind turbine generator set;

[0058] S200, determining a first comparison result between the generator speed of the target wind turbine generator set and the grid-connected speed critical value and a second comparison result between the active power output by the target wind turbine generator set and the active power threshold, and controlling the grid-connected operation mode of the target wind turbine generator set according to the first comparison result and the second comparison result;

[0059] S300, when the target wind turbine is in any grid-connected operation state, determining the generator torque of the target wind turbine according to the current wind speed change frequency or the current active power change frequency of the target wind turbine, and controlling the generator of the target wind turbine to operate at the determined generator torque.

[0060] In this way, the present application monitors the generator speed and the output active power of the wind turbine set in real time during the operation of the wind turbine set, compares the generator speed and the output active power with the corresponding thresholds respectively and switches the grid-connected operation mode of the wind turbine set according to the comparison results, and controls the generator torque of the wind turbine set in real time based on the changing frequency of the wind speed or the changing frequency of the active power output by the wind turbine set during the grid-connected operation of the wind turbine set, thereby ensuring that the wind turbine set can continuously operate in grid connection without being disconnected from the grid when the operating environment changes.

[0061] It can be understood that the method of the present application is applied to a grid-connected control system, wherein, for example Figure 2 As shown, the grid-connected control system of the present application includes a wind turbine sensor system, an intelligent control system, a wind turbine converter and a battery energy storage system. Among them, the wind turbine sensor system includes an anemometer, a speed sensor, an angle sensor and a power quality monitoring module, etc., which are used to collect key status information such as ambient wind speed, wind direction, generator speed and blade angle, among which the power quality monitoring module includes a current sensor, a voltage sensor, etc., which are used to monitor the stator voltage and current, rotor voltage and current, grid voltage and current and active power of the generator in real time. The intelligent control system monitors the collected key status information in real time to control the unit to switch the grid-connected operation mode under the condition of sudden changes in wind speed and direction, so as to ensure the continuous grid-connected operation of the unit. In the present application, the grid-connected operation mode includes a generator mode and a motor mode. As Figure 3 As shown in the figure, the wind turbine converter and the battery energy storage system adopt the common DC bus technology, which significantly improves the integration of the wind turbine converter and the energy storage system, and enhances the ability of the energy storage system to participate in the unit regulation.

[0062] In step S100, when the wind speed reaches the normal power generation wind speed for starting the wind turbine, the target wind turbine enters the normal generator state, and the generator speed and the active power output of the wind turbine generator are monitored in real time during the operation of the target wind turbine.

[0063] In step S200, the real-time speed of the target wind turbine is compared with the preset grid-connected speed critical value to obtain a first comparison result, wherein the first comparison result includes: the generator speed of the target wind turbine is greater than the grid-connected speed critical value, or the generator speed of the target wind turbine is less than the grid-connected speed critical value. At the same time, the real-time active power output of the target wind turbine is compared with the preset active power threshold to obtain a second comparison result, wherein the active power threshold can be set to 0. The second comparison result includes: the active power output of the target wind turbine is greater than the active power threshold, or the active power output of the target wind turbine is less than the active power threshold.

[0064] like Figure 4 As shown, in the present application, the grid-connected operation state of the target wind turbine group is controlled according to the first comparison result and the second comparison result, including: if the generator speed of the target wind turbine group is greater than the grid-connected speed critical value, and the active power output by the target wind turbine group is greater than the active power threshold, the target wind turbine group is controlled to operate in the generator mode through the wind turbine group converter, so that the target wind turbine group outputs electric energy to the battery energy storage system, and the battery energy storage system absorbs energy from the wind turbine group; if the generator speed of the target wind turbine group is less than the grid-connected speed critical value, and the active power output by the target wind turbine group is less than the active power threshold, the target wind turbine group is controlled to operate in the motor mode through the wind turbine group converter, so that the battery energy storage system releases electric energy to the target wind turbine group. It can be understood that when the grid-connected operation mode of the wind turbine group is switched, the corresponding control instruction can be sent to the converter to trigger the converter to change the direction of the generator stator current, thereby realizing the switching control of the generator group grid-connected mode.

[0065] It can be understood that the wind turbine converter can control the generator to absorb electric energy from the grid or output electric energy to the grid by changing the direction of the stator current. For example, when in motor mode, the wind turbine converter controls the generator to absorb electric energy from the grid by changing the direction of the stator current to provide the necessary electric energy to drive the generator to operate as a motor, and adjusts the amplitude of the rotor current according to the system requirements and wind speed conditions to control the electromagnetic torque and speed, thereby ensuring that the output voltage, frequency and phase of the generator are consistent with the grid. When in generator mode, the wind turbine converter adjusts the amplitude of the generator rotor current according to the system requirements and wind speed conditions, controls the active power output of the generator, adjusts the phase of the rotor current, realizes the reactive power exchange between the generator and the grid, maintains the voltage stability of the grid, ensures that the output voltage, frequency and phase of the generator are consistent with the grid, and realizes stable grid-connected operation. The converter controls the generator to output electric energy to the grid by adjusting the direction of the generator stator current.

[0066] In the present application, when the target wind turbine is running in the motor mode, the method further includes: continuously obtaining the electric energy release power of the battery energy storage system, and if the duration of the electric energy release power of the battery energy storage system being greater than the electric energy release power threshold reaches a preset duration, the target wind turbine is controlled to stop running. For example, the electric energy release power threshold may be 100kw, and the preset duration may be set to 1 minute. If it is monitored that the battery energy storage system continues to release the electric energy for 1 minute when the electric energy release power reaches 100kw, the unit is shut down and disconnected from the grid through the converter control.

[0067] In step S300, before determining the generator torque of the target wind turbine according to the current wind speed change frequency or the current active power change frequency of the target wind turbine, the method further includes: continuously acquiring the ambient wind speed, determining the wind speed change rate of the current wind speed of each sampling point relative to the historical wind speed of the previous sampling point adjacent to the current sampling point within a preset period, and taking the average of all wind speed change rates within the preset period as the current wind speed change frequency. For example, the wind speed collected at the current moment is V t , then the wind speed collected during the preset period includes V t 、V t-1 、V t-2 , ..., V t-n , where V t-1 、V t-2 , ..., V t-n are the historical wind speeds of the current wind speed in the preset period. Calculate the wind speed change rate of each adjacent wind speed, that is, calculate (V t-1 -V t ) / (t-(t-1))、(V t-2 -V t-1 ) / ((t-1)-(t-2)),...,(V t-n -V t-(n-1) ) / ((tn)-(t-(n-1))), and the average of all wind speed change rates is calculated, and the average is used as the current wind speed change frequency. In this way, the present application can effectively avoid too frequent adjustment and control of the generator torque by using the average of the historical wind speed change rate in a preset period as the current wind speed change frequency, thereby ensuring the stability of the power grid and improving the equipment life.

[0068] Alternatively, before determining the generator torque of the target wind turbine according to the current wind speed change frequency or the current active power change frequency of the target wind turbine, the active power output by the target wind turbine is continuously acquired to determine the active power change rate of the current active power of each sampling point relative to the historical active power of the previous sampling point adjacent to the current sampling point within a preset period, and the average of all active power change rates within the preset period is taken as the current active power change frequency of the target wind turbine. Similarly, if the active power collected at the current moment is W t , then, the active power collected during the preset period includes W t , W t-1 , W t-2 , ..., W t-n , where W t-1 , W t-2 , ..., W t-n are the historical active powers at each sampling time within the preset period. The active power change rate of each adjacent active power is calculated respectively, that is, (W t-1 -W t ) / (t-(t-1)),(W t-2 -W t-1 ) / ((t-1)-(t-2)),...,(W t-n -W t-(n-1) ) / ((tn)-(t-(n-1))), and calculate the average of all active power change rates, and use the average as the current active power change frequency.

[0069] In step S300, the generator torque of the target wind turbine is determined according to the current wind speed change frequency or the current active power change frequency of the target wind turbine, including: if the current wind speed change frequency is lower than the wind speed change frequency threshold, or the current active power change frequency is lower than the active power change frequency threshold, calling the first control model to determine the generator torque of the target wind turbine; if the current wind speed change frequency is not lower than the wind speed change frequency threshold, or the current active power change frequency is not lower than the active power change frequency threshold, calling the second control model to determine the generator torque of the target wind turbine. For example, in the case where the wind speed change frequency is used as the generator torque control parameter, if the current wind speed change frequency is lower than the wind speed change frequency threshold, it means that the current wind speed changes relatively slowly, and a more stable control method such as PID control can be adopted; if the current wind speed change frequency is not lower than the wind speed change frequency threshold, it means that the current wind speed changes violently and the change frequency is high, then a more flexible and adaptive control method needs to be adopted, such as adaptive control, so that the control parameters can be automatically adjusted according to the real-time changes of the wind speed to cope with the rapidly changing wind conditions. Similarly, when the active power change frequency is used as the generator torque control parameter, if the current active power change frequency is lower than the active power change frequency threshold, it means that the current active power change is relatively gentle and the wind turbine is currently in a relatively stable working state. At this time, the current control method can continue to be used, such as PID control; if the current active power change frequency is not lower than the active power change frequency threshold, that is, the active power output fluctuates frequently and the change frequency is high, it may mean that the wind turbine is facing complex wind conditions or mechanical failures. In this case, a more flexible and adaptive control method, such as adaptive control, is needed to quickly respond to power changes and maintain stable output.

[0070] In the present application, the first control model is a PID fuzzy control model, which includes: a pre-established input variable fuzzy set, a fuzzy rule base and a PID controller, wherein the input variables include but are not limited to wind speed and wind speed change frequency, or active power and active power change frequency, and the input variable fuzzy set includes different variable states corresponding to different values ​​of each input variable. For example, the input variable fuzzy set may include a fuzzy set of wind speed V, such as {Small (S), Medium (M), Large (Large), and the fuzzy set of wind speed change frequency may be {Negative Large (NL), Negative Medium (NM), Zero (Zero, Z), Positive Medium (PM), Positive Large (PL)}, which is not limited here. It can be understood that the variable state can be predetermined according to the range of the variable value.

[0071] In this application, the PID controller can be expressed as:

[0072]

[0073] Where u is the generator torque, K p , K i , K d is the PID controller parameter, where K p is the proportional gain, K i Integral gain, K d is the differential gain, e is the error between the reference value and the actual value of the generator torque, and t is the current moment.

[0074] The fuzzy rule base includes adjustment rules for PID controller parameters corresponding to different input variables. For example, the fuzzy rule base can be a table consisting of three columns of parameters including wind speed, wind speed change frequency and PID parameter adjustment rules. For example, each row can be: {(wind speed: S), (wind speed change frequency: Z), (PID parameter adjustment rule: increase K p , reduce K i )}、(wind speed: L),(wind speed change frequency: PL),(PID parameter adjustment rule: increase K p , K i , K d )}wait.

[0075] In step S300, the first control model is called to determine the generator torque of the target wind turbine set, including: in the case of determining the generator torque of the target wind turbine set according to the current wind speed change frequency, taking the current wind speed and the wind speed change frequency as input, and determining the first variable state corresponding to the current wind speed and the second variable state corresponding to the wind speed change frequency within a preset time period according to the input variable fuzzy set; or, in the case of determining the generator torque of the target wind turbine set according to the current active power change frequency of the target wind turbine set, taking the current active power output by the target wind turbine set and the current active power change frequency of the target wind turbine set as input, and determining the third variable state corresponding to the current active power and the fourth variable state corresponding to the current active power change frequency according to the input variable fuzzy set; determining the first target adjustment rule of the PID controller parameters under the first variable state and the second variable state through the fuzzy rule base, or determining the second target adjustment rule of the PID controller parameters under the third variable state and the fourth variable state through the fuzzy rule base; after adjusting the PID controller parameters of the PID controller based on the first target adjustment rule or the second target adjustment rule, the generator torque of the target wind turbine set is output through the PID controller.

[0076] That is, if the generator torque of the target wind turbine is determined based on the current wind speed change frequency, the current wind speed and wind speed change frequency are used as model inputs, and the variable state corresponding to the current wind speed and wind speed change frequency is obtained by matching the current wind speed and wind speed change frequency with the variable fuzzy set, and then based on the variable state corresponding to the current wind speed and wind speed change frequency, the adjustment rule of the PID control parameter is determined by matching the variable state with the fuzzy rule base, and the PID control parameter is adjusted according to the obtained adjustment rule, and the generator torque of the target wind turbine is output through the PID controller, and the generator is controlled by the converter to operate according to the output generator torque, and the PID controller also adjusts the PID parameters according to the system response such as power output to form a closed-loop control. It can be understood that the converter can achieve precise control of the electromagnetic torque by adjusting the amplitude and phase of the rotor current, wherein the increase of the electromagnetic torque will drive the generator rotor to accelerate, and the decrease of the torque will cause the speed to decrease. Among them, while controlling the electromagnetic torque, the speed of the generator is further adjusted by comparing the speed feedback with the speed command using the speed regulator of the converter. When the actual speed is higher or lower than the expected speed, the regulator will output the corresponding torque adjustment command to maintain the speed within the set range. Similarly, if the generator torque of the target wind turbine is determined based on the current active power change frequency, the current active power and the current active power change frequency of the target wind turbine are used as model inputs, and the control process is the same as above, which will not be repeated here.

[0077] In the present application, the second control model is obtained by training the neural network with the historical data of the generator torque corresponding to the target wind turbine at different wind speeds, or the second control model is obtained by training the neural network with the historical data of the generator torque corresponding to the different active powers output by the target wind turbine. Among them, the neural network can be a BP neural network, a CNN neural network or an LSTM neural network, etc., which is not limited here. The training sample of the neural network can be obtained by collecting the actual operation data of the wind turbine, or by simulating and simulating through simulation software, which is not limited here. For example, the historical data of the generator torque of the wind turbine at different wind speeds in a preset historical period is collected, and the neural network is trained with the wind speed as input and the predicted generator torque as output, and the neural network parameters are adjusted according to the difference between the actual generator torque corresponding to the wind speed and the predicted generator torque until the convergence condition is met, and a trained neural network model is obtained, that is, the second control model. Similarly, the historical data of the generator torque of the wind turbine at different active powers in a preset historical period is collected as a training sample, and the second control model can be obtained after the neural network is trained.

[0078] Then, calling the second control model to determine the generator torque of the target wind turbine group includes: in the case of determining the generator torque of the target wind turbine group according to the current wind speed change frequency, taking the current wind speed as input, and outputting the generator torque of the target wind turbine group through the second control model; or, in the case of determining the generator torque of the target wind turbine group according to the current active power change frequency of the target wind turbine group, taking the current active power output by the target wind turbine group as input, and outputting the generator torque of the target wind turbine group through the second control model. It can be understood that, in the case of determining the generator torque of the target wind turbine group according to the current wind speed change frequency, the second control model called is a model trained with the historical data of the generator torque of the wind turbine group under different wind speeds and stable operation as training samples; in the case of determining the generator torque of the target wind turbine group according to the current active power change frequency of the target wind turbine group, the second control model called is a model trained with the historical data of the generator torque of the wind turbine group under different active powers and stable operation as training samples.

[0079] like Figure 5 As shown, in this application, the wind turbine and the battery energy storage system share the AC and DC bus control, the DC bus of the wind turbine converter is connected in parallel with the DC side of the battery energy storage system, and the AC side of the battery energy storage system is connected to the grid connection point of the wind turbine. When the wind turbine is in the grid-connected power generation state, the DC voltage of the battery energy storage system is established by the wind turbine converter. After the wind turbine converter is started, the DC converter of the battery energy storage system works in the current control operation mode, and completes the storage and release of the energy of the energy storage system battery through the positive and negative current instructions given by the intelligent control system, participates in the frequency modulation of the wind turbine, and realizes the energy exchange between the wind power converter and the energy storage battery; when the wind turbine is not in the grid-connected power generation state, the DC converter of the energy storage system works in the voltage control operation mode after startup, and provides the DC operating voltage for the AC inverter, and the AC inverter accepts the reactive power dispatch of the wind farm or provides backup power.

[0080] When the wind turbine is in motor mode, the control process of the battery energy storage system is as follows:

[0081] When the wind turbine is in the motor operation mode and connected to the grid, the intelligent control system accurately controls the absorbed power by real-time monitoring the changes in the generator stator voltage and current and the rotor voltage and current, including:

[0082] 1. Set the charge and discharge parameters

[0083] The battery management system (BMS) sets the charging or discharging parameters, including current, voltage, temperature, etc. In special climatic conditions, such as extremely high or low temperatures, the charging and discharging parameters need to be adjusted according to the ambient temperature to ensure the safety performance and charging and discharging efficiency of the battery.

[0084] 2. Start the charging and discharging process

[0085] According to the set parameters, the charging or discharging process is started. The power conversion system (PCS) is responsible for controlling the battery charging and discharging process and adjusting the charging and discharging according to the instructions of the BMS. During the charging and discharging process, the PCS will monitor the status of the battery components in real time, including voltage, current, temperature, etc., to ensure the safety and stability of the charging and discharging process.

[0086] 3. Precisely control the charging and discharging process

[0087] By controlling the charging current, we can avoid charging the battery too quickly or overcharging it, so as to reduce the battery loss and shortened life. We can ensure that the charging voltage is within the appropriate range to avoid damage to the battery caused by excessively high or low charging voltage. By controlling the discharge current, we can avoid discharging the battery too quickly or over-discharging it, so as to reduce the battery loss and shortened life. We can ensure that the discharge voltage is within the appropriate range to avoid damage to the battery caused by excessively high or low discharge voltage. We can monitor the battery temperature through devices such as temperature sensors, and take measures when the temperature exceeds the safe range, such as reducing the charge and discharge rate or stopping the charge and discharge.

[0088] 4. Charge and discharge cut-off and balance

[0089] When the battery reaches the set SOC (state of charge) or SOE (remaining capacity), stop charging or discharging to avoid damage to the battery due to excessive charging and discharging; balance the battery charging and discharging through BMS to prevent performance loss caused by imbalance between battery components. Balanced charging and discharging can ensure that the charging and discharging state of each single cell in the battery pack remains consistent, thereby improving the performance and life of the entire battery pack.

[0090] 5. Intelligent algorithms and optimization

[0091] BMS can control the charging and discharging process according to preset algorithms. These algorithms can be intelligently controlled according to the battery's SOC, SOE, SOH (health status) and other parameters to maximize the protection of the battery and optimize the performance of the energy storage system. By recording and analyzing the charging and discharging results, the operation strategy of the energy storage system can be optimized to improve the efficiency and performance of the system. For example, it can be charged when the grid load is low and discharged when the grid load is high to balance the grid load and achieve efficient use of electric energy. The AC side of the battery energy storage system is controlled to output power to the generator stator through the grid connection point, and the DC side of the battery energy storage system is controlled to output power to the wind turbine converter through the common DC bus. When the output power of the battery energy storage system is greater than 100kw and lasts for 1min, the wind turbine is shut down and disconnected from the grid.

[0092] When the wind turbine is in generator mode, the control process of the battery energy storage system is as follows:

[0093] When the wind turbine is in the generator operation mode and connected to the grid, the intelligent control system monitors the output power changes of the turbine in real time. When the output power of the wind turbine is greater than the grid demand value, the energy storage system battery is controlled to absorb electric energy according to the set power target value; when the output power of the wind turbine is less than the grid demand value, the energy storage system battery is controlled to release electric energy to the grid according to the preset power target value. The specific process includes:

[0094] 1. Real-time monitoring of wind farm output power

[0095] Through sensors and monitoring equipment, the output power data of each wind turbine in the wind farm is collected in real time; the collected data is processed and analyzed to understand the current power generation capacity of the wind farm and the fluctuation of output power.

[0096] 2. Predicting wind farm output power

[0097] According to the power prediction system of the wind farm, combined with historical data and real-time meteorological information, short-term and long-term predictions of the output power of the wind farm are made.

[0098] 3. Energy Storage System Capacity and Status Management

[0099] The capacity of the energy storage system should be reasonably configured according to the scale and power generation capacity of the wind farm. The capacity of the energy storage system should be able to meet the energy storage and release needs of the wind farm in a specific time period (such as low wind period or power grid failure); real-time monitoring of the state of charge of the energy storage system, that is, the proportion of remaining power in the energy storage device. Through SOC management, ensure that the energy storage system can release enough power when needed, and absorb excess power for storage when the power is sufficient.

[0100] 4. Determine the amount of electricity absorbed and released

[0101] Compare the actual output power of the wind farm with the predicted power. When the actual output power is greater than the predicted power and the power grid cannot fully absorb it, the energy storage system will absorb the excess power for storage; when the actual output power is less than the predicted power or the power grid needs additional power support, the energy storage system will release the stored power for supplementation; when determining the value of the absorbed and released power, the energy storage system formulates a reasonable charge and discharge rate, charge and discharge depth, and charge and discharge times to ensure the charge and discharge efficiency and service life of the energy storage system. ); When the output power of the wind turbine fluctuates greatly, the intelligent control system starts the energy storage system to work in coordination with the wind turbine converter to achieve smooth control of the output power of the wind turbine.

[0102] Among them, the judgment conditions for the fluctuation of wind turbine output power include:

[0103] 1. Wind speed instability: Wind speed is the main factor affecting the volatility of wind farm power output. Frequent changes in wind speed will directly lead to fluctuations in the power generation of wind turbines. Especially when the wind speed changes greatly, even a small change in wind speed will cause large fluctuations in wind farm output power due to the nonlinear relationship between power generation and wind speed (usually a cubic relationship).

[0104] 2. Grid connection and load changes: Load changes in the power system and the operating conditions of other power generation facilities will affect the load of the grid, which in turn affects the power output of the wind farm. When the grid load is light, the power output of the wind farm may exceed the load demand, and when the grid load is heavy, the power output of the wind farm may not meet the demand. This imbalance between supply and demand will also cause fluctuations in the output power of the wind farm.

[0105] 3. Equipment health: Aging and failure of wind turbine equipment can also lead to unstable power output. For example, blade wear, generator, gearbox, and main shaft failures may affect the power generation efficiency of wind turbines, leading to fluctuations in output power.

[0106] When the output power of a wind farm fluctuates greatly, the energy storage system and the converter will work together to smoothly control the output power of the wind turbine. The specific control process is as follows:

[0107] 1. Energy storage systems (such as battery energy storage systems) can store excess electricity from wind farms during peak power generation periods and release this electricity during low power generation periods or when grid demand peaks, thereby smoothing out fluctuations in wind farm output power. At the same time, the energy storage system quickly responds to changes in grid power demand and adjusts the output power of the wind farm in real time to ensure stable operation of the grid.

[0108] 2. The inverter is a key device for energy conversion in the energy storage system. It is responsible for converting the AC power of the power grid into DC power to charge the energy storage battery, or converting the DC power in the energy storage battery into AC power to supply the power grid or load. At the same time, the inverter adjusts the amplitude and phase of its output current and voltage to achieve precise control of the output power of the wind farm. When the output power of the wind farm fluctuates greatly, the inverter can adjust its output power according to the instructions of the energy storage system to compensate for the power fluctuations of the wind farm.

[0109] 3. Through wind speed prediction, grid load prediction and monitoring of real-time operation data of wind farms, the intelligent monitoring system can predict the fluctuation of wind farm output power, and generate control instructions to the energy storage system and converter according to the prediction results and the actual needs of the grid; the energy storage system performs charging or discharging operations according to the instructions to adjust the power balance in the grid, and the converter adjusts its output power according to the instructions to smooth the output power fluctuation of the wind farm; by real-time monitoring of the power demand of the grid and the actual output power of the wind farm, the system makes feedback adjustments to the control instructions to ensure the smooth and stable output power of the wind farm. The intelligent control system monitors the changes in grid frequency in real time. When the grid frequency fluctuation exceeds the set value, the intelligent control system starts the wind turbine and the battery energy storage system to respond quickly, controls the wind turbine converter to adjust its output power, and controls the battery energy storage system to balance the load changes of the grid through charging and discharging. Among them, the intelligent control system can monitor the reactive power demand of the power grid in real time. When the reactive power of the power grid is insufficient, it controls the wind turbine converter to output reactive power and controls the energy storage system to provide reactive power. When the reactive power of the power grid is excessive, it controls the wind turbine converter to absorb reactive power and controls the energy storage system to absorb reactive power.

[0110] It can be understood that the methods for wind farm energy storage systems to detect grid reactive power include:

[0111] Real-time monitoring of power system status: The energy storage system monitors key parameters of the power system such as voltage, current, power factor, etc. in real time; Calculate reactive power demand: According to the real-time status of the power system, the energy storage system performs data analysis and calculates the total amount of reactive power required by the current power grid; Formulate control strategies: Based on the calculated reactive power demand, the energy storage system formulates corresponding control strategies, including determining the charging and discharging mode, charging and discharging rate, and charging and discharging time of the energy storage system, to ensure that the corresponding reactive power can be output or absorbed as required.

[0112] Among them, the reactive power output by the energy storage system is mainly used to compensate for the reactive power shortage in the power grid, improve the power factor of the power grid, and reduce the transmission loss of reactive power in the power grid, thereby improving the overall operation efficiency and stability of the power grid; for wind turbines and other equipment inside the wind farm, the reactive power output by the energy storage system can also be used to improve their operating status and improve the overall power generation efficiency and stability of the wind farm. For example, when the reactive power regulation capacity of the wind turbine is insufficient, the energy storage system can provide additional reactive power support to meet the operation needs of the wind farm.

[0113] When the wind turbine is not connected to the grid, the battery energy storage system is controlled as follows:

[0114] When the wind turbine is off-grid, the intelligent control system controls the DC converter in the energy storage system to start up, providing a DC operating voltage for the AC inverter, so that the AC inverter can accept reactive power dispatching of the wind farm or provide backup power.

[0115] like Figure 6 As shown, in a second aspect of the present application, a wind turbine energy storage grid-connected control device is provided, comprising:

[0116] The data acquisition module is configured to acquire the generator speed of the target wind turbine and the active power output by the target wind turbine when the current wind speed reaches the wind speed of the wind turbine;

[0117] A grid-connected mode matching module is configured to determine a first comparison result between a generator speed of a target wind turbine and a grid-connected speed critical value and a second comparison result between an active power output by the target wind turbine and an active power threshold value, and control a grid-connected operation mode of the target wind turbine according to the first comparison result and the second comparison result;

[0118] The wind turbine control module is configured to determine the generator torque of the target wind turbine according to the current wind speed change frequency or the current active power change frequency of the target wind turbine when the target wind turbine is in any grid-connected operation state, and control the generator of the target wind turbine to operate at the determined generator torque.

[0119] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0120] In a third aspect of the present application, a terminal device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned wind turbine energy storage grid-connected control method when executing the computer program.

[0121] like Figure 7 FIG. 1 is a schematic diagram of a terminal device provided in an embodiment of the present application. Figure 7 As shown, the terminal device 10 of this embodiment includes: a processor 100, a memory 101, and a computer program 102 stored in the memory 101 and executable on the processor 100. When the processor 100 executes the computer program 102, the steps in the above method embodiment are implemented. Alternatively, when the processor 100 executes the computer program 102, the functions of each module / unit in the above device embodiments are implemented.

[0122] Exemplarily, the computer program 102 may be divided into one or more modules / units, one or more modules / units are stored in the memory 101, and are executed by the processor 100 to complete the present application. One or more modules / units may be a series of computer program instruction segments capable of completing specific functions, and the instruction segments are used to describe the execution process of the computer program 102 in the terminal device 10.

[0123] The terminal device 10 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The terminal device 10 may include, but is not limited to, a processor 100 and a memory 101. Those skilled in the art will appreciate that Figure 7 It is only an example of the terminal device 10 and does not constitute a limitation of the terminal device 10. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the terminal device may also include input and output devices, network access devices, buses, etc.

[0124] The processor 100 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc.

[0125] The memory 101 may be an internal storage unit of the terminal device 10, such as a hard disk or memory of the terminal device 10. The memory 101 may also be an external storage device of the terminal device 10, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the terminal device 10. Further, the memory 101 may also include both an internal storage unit of the terminal device 10 and an external storage device. The memory 101 is used to store computer programs and other programs and data required by the terminal device 10. The memory 101 may also be used to temporarily store data that has been output or is to be output.

[0126] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0127] In summary, the present application uses a dual-mode control method for grid-connected operation of wind turbine energy storage to enable the wind turbine to switch from generator mode to motor mode when the generator speed is less than the critical value of the grid-connected speed, and to continuously connect to the grid; and when the generator speed is higher than the critical value of the grid-connected speed, the motor mode is switched to generator mode to connect to the grid for power generation, thereby more effectively utilizing wind energy and improving the operating efficiency of the entire wind power generation system. The present application significantly improves the integration of the wind turbine and the energy storage system by connecting the DC conversion side of the energy storage system in parallel with the DC bus of the wind turbine converter, and connecting the AC side of the energy storage system to the grid-connected point of the wind turbine. The ability of the energy storage system to participate in the regulation of the unit is improved, and the storage and release of electric energy by the energy storage system is realized through the precise control of the battery energy storage system by the intelligent control system, further improving the stability and reliability of the wind turbine and the power grid. At the same time, the present application has good continuous grid-connected operation characteristics under the conditions of large turbulence and sudden changes in wind speed and direction, which can effectively improve the wind energy utilization rate of the unit, reduce the number of frequent starts and stops, and provide guarantees for the safe and stable operation of the unit.

[0128] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0129] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A wind turbine energy storage grid-connected control method, characterized in that: include: When the current wind speed reaches the power generation wind speed of the wind turbine generator set, the generator speed of the target wind turbine generator set and the active power output by the target wind turbine generator set are obtained; Determine a first comparison result between the generator speed of the target wind turbine generator set and a critical value of the grid-connected speed and a second comparison result between the active power output by the target wind turbine generator set and an active power threshold, and control the grid-connected operation mode of the target wind turbine generator set according to the first comparison result and the second comparison result; When the target wind turbine set is in any grid-connected operation state, the generator torque of the target wind turbine set is determined according to the current wind speed change frequency or the current active power change frequency of the target wind turbine set, and the generator of the target wind turbine set is controlled to operate at the determined generator torque.

2. The wind turbine energy storage grid-connected control method according to claim 1, characterized in that: The first comparison result includes: The generator speed of the target wind turbine generator set is greater than the grid-connected speed critical value, or the generator speed of the target wind turbine generator set is less than the grid-connected speed critical value; The second comparison result includes: The active power output by the target wind turbine generator set is greater than the active power threshold, or the active power output by the target wind turbine generator set is less than the active power threshold.

3. The wind turbine energy storage grid-connected control method according to claim 2, characterized in that: The grid-connected operation mode includes a generator mode and a motor mode; and controlling the grid-connected operation state of the target wind turbine generator set according to the first comparison result and the second comparison result includes: If the generator speed of the target wind turbine generator set is greater than the grid-connected speed critical value, and the active power output by the target wind turbine generator set is greater than the active power threshold, control the target wind turbine generator set to operate in a generator mode, so that the target wind turbine generator set outputs electric energy to the battery energy storage system; If the generator speed of the target wind turbine set is less than the grid-connected speed critical value, and the active power output by the target wind turbine set is less than the active power threshold, the target wind turbine set is controlled to operate in motor mode so that the battery energy storage system releases electrical energy to the target wind turbine set.

4. The wind turbine energy storage grid-connected control method according to claim 3, characterized in that: In the case where the target wind turbine group operates in a motor mode, the method further includes: The electric energy release power of the battery energy storage system is continuously obtained, and if the duration for which the electric energy release power of the battery energy storage system is greater than the electric energy release power threshold reaches a preset duration, the target wind turbine group is controlled to stop operating.

5. The wind turbine energy storage grid-connected control method according to claim 1, characterized in that: Before determining the generator torque of the target wind turbine generator set according to the current wind speed change frequency or the current active power change frequency of the target wind turbine generator set, the method further includes: Continuously obtain the ambient wind speed, determine the wind speed change rate of the current wind speed of each sampling point relative to the historical wind speed of the previous sampling point adjacent to the current sampling point within a preset period, and take the average of all wind speed change rates within the preset period as the current wind speed change frequency; or The active power output by the target wind turbine is continuously acquired, and the active power change rate of the current active power of each sampling point relative to the historical active power of the previous sampling point adjacent to the current sampling point within the preset time period is determined, and the average of all active power change rates within the preset time period is used as the current active power change frequency of the target wind turbine.

6. The wind turbine energy storage grid-connected control method according to claim 5, characterized in that: Determining the generator torque of the target wind turbine generator set according to the current wind speed change frequency or the current active power change frequency of the target wind turbine generator set includes: If the current wind speed change frequency is lower than the wind speed change frequency threshold, or the current active power change frequency is lower than the active power change frequency threshold, calling the first control model to determine the generator torque of the target wind turbine generator set; If the current wind speed change frequency is not lower than the wind speed change frequency threshold, or the current active power change frequency is not lower than the active power change frequency threshold, the second control model is called to determine the generator torque of the target wind turbine.

7. The wind turbine energy storage grid-connected control method according to claim 6, characterized in that: The first control model is a PID fuzzy control model, and the PID fuzzy control model includes: A pre-established input variable fuzzy set, a fuzzy rule base and a PID controller, wherein the input variables include wind speed and wind speed change frequency, or active power and active power change frequency, the input variable fuzzy set includes different variable states corresponding to different values ​​of each input variable, the fuzzy rule base includes adjustment rules for PID controller parameters corresponding to different input variables, and the PID controller is: Where u is the generator torque, K p , K i , K d is the PID controller parameter, e is the error between the reference value and the actual value of the generator torque, and t is the current moment; Calling the first control model to determine the generator torque of the target wind turbine generator set includes: In the case where the generator torque of the target wind turbine is determined according to the current wind speed change frequency, the current wind speed and the wind speed change frequency are used as inputs, and a first variable state corresponding to the current wind speed and a second variable state corresponding to the wind speed change frequency within the preset time period are determined according to the input variable fuzzy set; or In the case of determining the generator torque of the target wind turbine group according to the current active power change frequency of the target wind turbine group, taking the current active power output by the target wind turbine group and the current active power change frequency of the target wind turbine group as input, determining the third variable state corresponding to the current active power and the fourth variable state corresponding to the current active power change frequency according to the input variable fuzzy set; Determine a first target adjustment rule for a PID controller parameter under the first variable state and the second variable state by using the fuzzy rule base, or determine a second target adjustment rule for a PID controller parameter under the third variable state and the fourth variable state by using the fuzzy rule base; After adjusting the PID controller parameters of the PID controller based on the first target adjustment rule or the second target adjustment rule, the generator torque of the target wind turbine set is outputted through the PID controller.

8. The wind turbine energy storage grid-connected control method according to claim 6, characterized in that: The second control model is obtained by training a neural network with historical data of generator torque corresponding to the target wind turbine at different wind speeds, or the second control model is obtained by training a neural network with historical data of generator torque corresponding to different active powers output by the target wind turbine; Calling the second control model to determine the generator torque of the target wind turbine generator set includes: In the case where the generator torque of the target wind turbine set is determined according to the current wind speed variation frequency, the current wind speed is used as input, and the generator torque of the target wind turbine set is output through the second control model; or When the generator torque of the target wind turbine is determined according to the current active power change frequency of the target wind turbine, the generator torque of the target wind turbine is outputted through the second control model with the current active power outputted by the target wind turbine as input.

9. A wind turbine energy storage grid-connected control device, characterized in that: include: A data acquisition module is configured to acquire the generator speed of the target wind turbine and the active power output by the target wind turbine when the current wind speed reaches the wind speed of the wind turbine; a grid-connected mode matching module, configured to determine a first comparison result between the generator speed of the target wind turbine and a grid-connected speed critical value and a second comparison result between the active power output by the target wind turbine and an active power threshold, and control the grid-connected operation mode of the target wind turbine according to the first comparison result and the second comparison result; The wind turbine control module is configured to determine the generator torque of the target wind turbine according to the current wind speed change frequency or the current active power change frequency of the target wind turbine when the target wind turbine is in any grid-connected operation state, and control the generator of the target wind turbine to operate at the determined generator torque.

10. Provided is a terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the above-mentioned wind turbine energy storage grid-connected control method is implemented.

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