New energy system control method and device, electronic equipment and storage medium

Abstract

The invention provides a control method and device of a new energy system, electronic equipment and a storage medium. The control method comprises the following steps that first power generation information of a photovoltaic power generation module in a future preset time period and second power generation information of a wind power generation module in the future preset time period are obtained; a battery model corresponding to the energy storage battery is established, a current converter model corresponding to the current converter is established, an inner loop control unit in the current converter model is used for maintaining the stability of current and voltage, and an outer loop control unit in the current converter model is used for adjusting active power and reactive power so as to cope with fluctuation of power grid frequency and voltage; and based on the first power generation information and the second power generation information, performing simulation processing on the battery model and the current device model, and based on a simulation result, adjusting working states of the energy storage battery and the wind power generation module in a future preset time period. The control method can accurately control the new energy system.

Description

Technical Field

[0001] The present invention relates to the field of photovoltaic technology, and in particular to a control method, device, electronic equipment and storage medium for a new energy system. Background Art

[0002] As renewable energy, especially wind and solar energy, gradually increases in the global energy structure, some new energy systems will include photovoltaic power generation modules, wind power generation modules and energy storage batteries. It is understandable that if there is no wind or the wind is weak, the wind power generation module cannot output electricity or outputs very little electricity; if it is cloudy, overcast, rainy or at night, the photovoltaic power generation module cannot output electricity or outputs very little electricity; that is, the electricity provided by the photovoltaic power generation module and the wind power generation module is intermittent and unstable.

[0003] Therefore, designing a regulation technology that enables the new energy system to provide electricity efficiently and economically has become an urgent problem to be solved. Summary of the invention

[0004] The object of the present invention is to provide a control method, device, electronic equipment and storage medium for a new energy system.

[0005] In order to achieve one of the above-mentioned invention purposes, an embodiment of the present invention provides a control method for a new energy system, wherein the new energy system comprises: a photovoltaic power generation module, a wind power generation module, a power consumption device, an energy storage battery and an inverter, wherein the inverter is used to connect to a power grid; the electric energy generated by the photovoltaic power generation module and the wind power generation module can be provided to the power consumption device and the energy storage battery, and can also be sold to the power grid through the inverter; the electric energy in the energy storage battery can be provided to the power consumption device, and can also be sold to the power grid through the inverter; the inverter can obtain electric energy from the power grid and provide it to the power consumption device and the energy storage battery; comprising the following steps: obtaining first power generation information of the photovoltaic power generation module in a preset time period in the future, and second power generation information of the wind power generation module in the preset time period in the future; establishing a battery model corresponding to the energy storage battery, in which the potential E of the energy storage battery is E0-K E ·(1-SOC)·(Num+θ), where E0 is the open circuit voltage of the energy storage battery in a fully charged state, K E and Num are constants, SOC is the state of charge of the energy storage battery, θ is the temperature of the energy storage battery; the internal resistance of the energy storage battery R = R0 + R1·e -k·SOC, R0 is the basic resistance of the energy storage battery, R1 is the maximum polarization resistance of the energy storage battery, and k is a constant; a converter model corresponding to the converter is established, the inner loop control unit in the converter model is used to maintain the stability of current and voltage, and the outer loop control unit in the converter model is used to adjust active power and reactive power to cope with fluctuations in grid frequency and voltage; based on the first and second power generation information, the battery model and the converter model are simulated, and based on the simulation results, the working states of the energy storage battery and the wind power generation module in a future preset time period are adjusted.

[0006] As a further improvement of an implementation manner of the present invention, Num=273.

[0007] As a further improvement of an embodiment of the present invention, the current control strategy of the inner loop control unit is: Among them, V d,q is the input voltage of the converter, is the reference current, K p is the proportional control gain, K i is the integral control gain, I d,q is the input current of the converter.

[0008] As a further improvement of an embodiment of the present invention, the adjustment strategy of the swimming power of the outer ring control unit is: ref =P0+K f ·(ω ref -ω), where P0 is the base power setting, ω ref is the reference frequency, ω is the actual frequency, K f is the frequency response coefficient.

[0009] The embodiment of the present invention provides a control device for a new energy system, the new energy system comprising: a photovoltaic power generation module, a wind power generation module, a power consumption device, an energy storage battery and an inverter, the inverter being used to connect to a power grid; the electric energy generated by the photovoltaic power generation module and the wind power generation module can be provided to the power consumption device and the energy storage battery, and can also be sold to the power grid through the inverter; the electric energy in the energy storage battery can be provided to the power consumption device, and can also be sold to the power grid through the inverter; the inverter can obtain electric energy from the power grid and provide it to the power consumption device and the energy storage battery; comprising the following modules: an information acquisition module, used to obtain first power generation information of the photovoltaic power generation module in a future preset time period, and second power generation information of the wind power generation module in the future preset time period; establish a battery model corresponding to the energy storage battery, in which the potential E of the energy storage battery is E0-K E ·(1-SOC)·(Num+θ), where E0 is the open circuit voltage of the energy storage battery in a fully charged state, KE and Num are constants, SOC is the state of charge of the energy storage battery, θ is the temperature of the energy storage battery; the internal resistance of the energy storage battery R = R0 + R1·e -k·SOC , R0 is the basic resistance of the energy storage battery, R1 is the maximum polarization resistance of the energy storage battery, and k is a constant; a model creation module is used to establish a converter model corresponding to the converter, the inner loop control unit in the converter model is used to maintain the stability of current and voltage, and the outer loop control unit in the converter model is used to adjust active power and reactive power to cope with fluctuations in grid frequency and voltage; a processing module is used to simulate the battery model and the converter model based on the first and second power generation information, and adjust the working states of the energy storage battery and the wind power generation module in a future preset time period based on the simulation results.

[0010] As a further improvement of an implementation manner of the present invention, Num=273.

[0011] As a further improvement of an embodiment of the present invention, the current control strategy of the inner loop control unit is: Among them, V d,q is the input voltage of the converter, is the reference current, K p is the proportional control gain, K i is the integral control gain, I d,q is the input current of the converter.

[0012] As a further improvement of an embodiment of the present invention, the adjustment strategy of the swimming power of the outer ring control unit is: ref =P0+K f ·(ω rer -ω), where P0 is the base power setting, ω ref is the reference frequency, ω is the actual frequency, K f is the frequency response coefficient.

[0013] An embodiment of the present invention provides an electronic device, comprising: a memory, used to store executable instructions; and a processor, used to implement the above control method when executing the executable instructions stored in the memory.

[0014] An embodiment of the present invention provides a storage medium storing executable instructions for causing a processor to execute the above control method.

[0015] Compared with the prior art, the technical effect of the present invention is that: the present invention provides a control method, device, electronic device and storage medium of a new energy system, the control method includes the following steps: obtaining the first power generation information of the photovoltaic power generation module in the future preset time period, and the second power generation information of the wind power generation module in the future preset time period; establishing a battery model corresponding to the energy storage battery, establishing a converter model corresponding to the converter, the inner loop control unit in the converter model is used to maintain the stability of current and voltage, and the outer loop control unit in the converter model is used to adjust the active power and reactive power to cope with the fluctuation of grid frequency and voltage; based on the first and second power generation information, the battery model and the converter model are simulated, and based on the simulation results, the working states of the energy storage battery and the wind power generation module in the future preset time period are adjusted. The control method can accurately control the new energy system. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a flow chart of a control method of a new energy system in an embodiment of the present invention. DETAILED DESCRIPTION

[0017] The present invention will be described in detail below in conjunction with the various embodiments shown in the accompanying drawings. However, these embodiments do not limit the present invention, and any structural, methodological, or functional changes made by a person skilled in the art based on these embodiments are all within the scope of protection of the present invention.

[0018] As used herein, terms indicating spatial relative positions such as "upper", "above", "lower", "below", etc. are used for the purpose of convenience to describe the relationship of one unit or feature relative to another unit or feature as shown in the accompanying drawings. Terms of spatial relative position may be intended to include different orientations of the device in use or operation other than the orientation shown in the drawings. For example, if the device in the figure is turned over, the unit described as being "below" the inverter or "below" other units or features will be located "above" the other units or features. Therefore, the exemplary term "below" can encompass both the above and below orientations. The device can be oriented in other ways (rotated 90 degrees or other orientations), and the spatially related descriptors used herein are interpreted accordingly.

[0019] Embodiment 1 of the present invention provides a control method for a new energy system, wherein the new energy system comprises: a photovoltaic power generation module, a wind power generation module, a power consumption device, an energy storage battery and an inverter, wherein the inverter is used to connect to a power grid; the electric energy generated by the photovoltaic power generation module and the wind power generation module can be provided to the power consumption device and the energy storage battery, and can also be sold to the power grid through the inverter; the electric energy in the energy storage battery can be provided to the power consumption device, and can also be sold to the power grid through the inverter; the inverter can obtain electric energy from the power grid and provide it to the power consumption device and the energy storage battery; here, the core principle of the photovoltaic power generation module is the photovoltaic effect, that is, when light is irradiated on a semiconductor material, the electrons inside the material are excited, thereby generating current. The material of most photovoltaic power generation modules is silicon, including monocrystalline silicon and polycrystalline silicon. This technology is widely used in power production around the world due to its clean and sustainable characteristics. Power consumption devices are electrical devices, such as air conditioners, washing machines, and rice cookers.

[0020] Wind power generation module is an electric device that converts wind energy into mechanical work, which drives the rotor to rotate and finally outputs AC power. Wind power generation module generally consists of wind rotor, generator (including device), direction regulator (tail), tower, speed limit safety mechanism and energy storage device. The working principle of wind power generation module is relatively simple. The wind rotor rotates under the action of wind force, which converts the kinetic energy of wind into mechanical energy of the wind rotor shaft. The generator rotates and generates electricity under the drive of the wind rotor shaft.

[0021] The energy storage battery is a battery system used to store electrical energy. It can convert electrical energy into chemical energy, store the charge in the battery, and then release it when needed. The energy storage battery can store energy for a long time and charge and discharge it. The inverter is a device composed of a single or multiple inverter bridges that converts AC and DC. Inverters can be divided into two categories: rectifiers and inverters. Rectifiers convert AC to DC, while inverters convert DC to AC.

[0022] like Figure 1 As shown, the following steps are included:

[0023] Step 101: Obtain the first power generation information of the photovoltaic power generation module in the future preset time period, and the second power generation information of the wind power generation module in the future preset time period; establish a battery model corresponding to the energy storage battery, in which the potential E of the energy storage battery is E0-K E ·(1-SOC)·(Num+θ), where E0 is the open circuit voltage of the energy storage battery in a fully charged state, K E and Num are constants, SOC is the state of charge of the energy storage battery, θ is the temperature of the energy storage battery; the internal resistance of the energy storage battery R = R0 + R1·e -k·SOC, R0 is the basic resistance of the energy storage battery, R1 is the maximum polarization resistance of the energy storage battery, and k is a constant; here, based on the local climate and weather forecast information, the first power generation information of the photovoltaic power generation module in the future preset time period and the second power generation information of the wind power generation module in the future preset time period can be estimated, and the future preset time period can be divided into multiple sub-time periods. The first and second power generation information can be specifically: in each sub-time period, the output power of the photovoltaic power generation module and the output power of the wind power generation module.

[0024] The basic resistance of energy storage batteries mainly includes ohmic resistance, electronic resistance, contact resistance between active materials and current collectors, etc. The maximum polarization resistance of energy storage batteries is a key parameter that directly affects the performance and efficiency of the battery. Polarization resistance is part of the internal resistance of the battery and is mainly caused by the polarization phenomenon of the battery. Polarization phenomenon refers to the phenomenon that the electrode potential deviates from the equilibrium electrode potential during the charging and discharging process of the battery, which will lead to an increase in the internal resistance of the battery, thereby affecting the performance of the battery. The polarization resistance of energy storage batteries includes two parts: ohmic internal resistance and polarization resistance. The ohmic internal resistance is mainly composed of the resistance of the conductive material and electrolyte inside the battery, while the polarization resistance is caused by the polarization phenomenon during the electrode reaction. The size of the polarization resistance is related to the material, structure and charging and discharging conditions of the battery.

[0025] Here, k can be considered as a parameter whose resistance changes nonlinearly with SOC. When building a battery model, the key is to accurately describe the behavior of the battery during the charging and discharging process. The main performance indicators of the battery include its potential (E) and internal resistance (R), which directly affect the efficiency and stability of the battery's interaction with the grid. It is understandable that the potential E decreases with the decrease of SOC, while the increase in temperature will further affect the magnitude of the potential. The internal resistance R will decrease with the increase of SOC, reflecting the battery's ability to transfer current more efficiently when the state of charge is higher. The full English spelling of SOC is: State Of Charge.

[0026] Step 102: establishing a converter model corresponding to the converter, wherein the inner loop control unit in the converter model is used to maintain the stability of current and voltage, and the outer loop control unit in the converter model is used to adjust active power and reactive power to cope with fluctuations in grid frequency and voltage;

[0027] There are many types of converter models used for simulation, including average value model, detailed switch model, general converter model and modular multilevel converter model, etc., depending on the specific simulation requirements and the type of converter.

[0028] Step 103: Based on the first and second power generation information, the battery model and the flow device model are simulated, and based on the simulation results, the working states of the energy storage battery and the wind power generation module in the future preset time period are adjusted.

[0029] In practice, it is necessary to establish simulation models corresponding to the battery model and the flowmeter model. For example, the simulation model can create accurate photovoltaic component models, including photovoltaic panels, brackets, inverters, etc., through photovoltaic plug-ins or extensions. These models can accurately represent the actual layout and configuration of the photovoltaic system, thereby helping designers and engineers to better understand and evaluate the performance of the system. In addition, the simulation model can also quickly generate the layout and configuration of the photovoltaic system through automated tools to improve design efficiency. In addition to the modeling function, the simulation function can simulate the dynamic behavior of the system under actual operation, including changes in parameters such as voltage, current, and power.

[0030] In this embodiment, Num=273.

[0031] In this embodiment, the current control strategy of the inner loop control unit is: Among them, V d,q is the input voltage of the converter, is the reference current, K p is the proportional control gain, K i is the integral control gain, I d,q is the input current of the converter.

[0032] Here, the current control strategy ensures that the current output remains stable even when the load changes or the battery performance changes.

[0033] In this embodiment, the adjustment strategy of the swimming power of the outer ring control unit is: ref =P0+K f ·(ω ref -ω), where P0 is the base power setting, ω ref is the reference frequency, ω is the actual frequency, K f is the frequency response coefficient.

[0034] Here, it can be understood that adjusting the active output can respond to frequency changes. The core of the energy storage battery is how to effectively convert the stored electrical energy and use it in the power grid. This process is completed by the converter and its control system, which are directly affected by the output of the battery model. The converter needs to adjust its output according to the voltage E and internal resistance R provided by the battery to match the needs of the power grid.

[0035] For example, a wind-solar hybrid power plant with a total generating capacity of 300MW is connected to a grid with 100MW of battery storage. During the day, fluctuations in wind speed and solar radiation cause the power output to vary from 50MW to 300MW. The task of the battery energy storage system is to smooth out these fluctuations and ensure a stable 150MW of power is provided to the grid.

[0036] Through the established model and control strategy, we can calculate how much energy the energy storage system needs to release or store under different wind and solar conditions to maintain a stable output of 150MW. Through the comprehensive application of the above models and control strategies, we can effectively manage the fluctuations of wind and solar output and optimize the operating efficiency of the power grid.

[0037] Numerical simulation settings

[0038] In order to specifically demonstrate how the battery energy storage system can smooth out wind and solar power fluctuations, we set the following simulation parameters and environment:

[0039] Wind power and photovoltaic power generation fluctuation simulation: simulate the changes in wind speed and solar radiation during the day based on actual meteorological data, and generate power curves for wind power and photovoltaic power generation.

[0040] Battery energy storage capacity: 100MW of battery storage system, sufficient to cope with large power fluctuations in the short term.

[0041] Power demand: Grid demand is stable at 150MW, and the battery energy storage system needs to adjust its charging and discharging behavior according to the actual output of wind and solar power generation to maintain this power level.

[0042] Control strategy implementation: Apply the aforementioned inner and outer loop control strategies, especially for active power control, to respond to instant changes in frequency and power.

[0043] Simulation process and result analysis

[0044] During the simulation, we implement and record the results through the following steps:

[0045] Data input: Input data such as wind speed, solar radiation, and grid demand into the simulation system.

[0046] Model operation: The battery energy storage system model is run according to the input data, and the battery charging and discharging status and grid output power are continuously recorded.

[0047] Result recording and analysis:

[0048] Wind and solar power generation output: records the fluctuation of wind and solar power generation when the energy storage system is not used.

[0049] Total grid output power: Record the total grid output power after using the energy storage system and check its stability.

[0050] Example results:

[0051] Assume that on a simulated day, the output power of wind and solar power generation fluctuates as follows:

[0052] In the morning, solar radiation gradually increases and photovoltaic power generation increases from 0MW to 100MW.

[0053] At the same time, due to changes in wind speed, wind power output fluctuates between 50MW and 150MW.

[0054] Without the intervention of the energy storage system, the power output of the grid will directly reflect these fluctuations, which may cause instability in grid frequency and voltage. After the energy storage system is used, the system automatically adjusts the charging and discharging behavior, smoothes the output power, and ensures that the total output of the grid is stable at 150MW.

[0055] analyze:

[0056] Through this simulation, we can observe:

[0057] Effect of battery energy storage system: When wind and solar power generation fluctuates greatly, the energy storage system can effectively smooth out these fluctuations and compensate for power shortages or surpluses through timely charging and discharging.

[0058] System Response: The response speed and accuracy of the control system are critical to maintaining grid stability. Simulation results show the direct impact of control strategies and parameter settings on system performance.

[0059] Embodiment 2 of the present invention provides a control device for a new energy system, the new energy system comprising: a photovoltaic power generation module, a wind power generation module, a power consumption device, an energy storage battery and an inverter, the inverter being used to connect to a power grid; the electric energy generated by the photovoltaic power generation module and the wind power generation module can be provided to the power consumption device and the energy storage battery, and can also be sold to the power grid through the inverter; the electric energy in the energy storage battery can be provided to the power consumption device, and can also be sold to the power grid through the inverter; the inverter can obtain electric energy from the power grid and provide it to the power consumption device and the energy storage battery; the system comprises the following modules:

[0060] An information acquisition module is used to obtain the first power generation information of the photovoltaic power generation module in a future preset time period, and the second power generation information of the wind power generation module in the future preset time period; establish a battery model corresponding to the energy storage battery, in which the potential E of the energy storage battery is E0-K E ·(1-SOC)·(Num+θ), where E0 is the open circuit voltage of the energy storage battery in a fully charged state, K E and Num are constants, SOC is the state of charge of the energy storage battery, θ is the temperature of the energy storage battery; the internal resistance of the energy storage battery R = R0 + R1·e-k·SOC , R0 is the basic resistance of the energy storage battery, R1 is the maximum polarization resistance of the energy storage battery, and k is a constant;

[0061] A model creation module, used to establish a converter model corresponding to the converter, wherein the inner loop control unit in the converter model is used to maintain the stability of current and voltage, and the outer loop control unit in the converter model is used to adjust active power and reactive power to cope with fluctuations in grid frequency and voltage;

[0062] The processing module is used to simulate the battery model and the flow model based on the first and second power generation information, and adjust the working states of the energy storage battery and the wind power generation module in a future preset time period based on the simulation results.

[0063] In this embodiment, Num=273.

[0064] In this embodiment, the current control strategy of the inner loop control unit is: Among them, V d,q is the input voltage of the converter, is the reference current, K p is the proportional control gain, K i is the integral control gain, I d,q is the input current of the converter.

[0065] In this embodiment, the adjustment strategy of the swimming power of the outer ring control unit is: ref =P0+K f ·(ω ref -ω), where P0 is the base power setting, ω ref is the reference frequency, ω is the actual frequency, K f is the frequency response coefficient.

[0066] A third embodiment of the present invention provides an electronic device, comprising: a memory for storing executable instructions; and a processor for implementing the control method in the first embodiment when executing the executable instructions stored in the memory.

[0067] Embodiment 4 of the present invention provides a storage medium storing executable instructions for causing a processor to execute and implement the control method in embodiment 1.

[0068] It should be understood that although this specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each implementation mode may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

[0069] The series of detailed descriptions listed above are only specific descriptions of feasible implementation methods of the present invention. They are not intended to limit the scope of protection of the present invention. Any equivalent implementation methods or changes that do not deviate from the technical spirit of the present invention should be included in the scope of protection of the present invention.

Claims

1. A control method for a new energy system, the new energy system comprising: Photovoltaic power generation module, wind power generation module, power consumption equipment, energy storage battery and inverter, the inverter is used to connect to the power grid; the electric energy generated by the photovoltaic power generation module and the wind power generation module can be provided to the power consumption equipment and the energy storage battery, and can also be sold to the power grid through the inverter; the electric energy in the energy storage battery can be provided to the power consumption equipment, and can also be sold to the power grid through the inverter; the inverter can obtain electric energy from the power grid and provide it to the power consumption equipment and the energy storage battery; it is characterized in that it includes the following steps: Obtain the first power generation information of the photovoltaic power generation module in the future preset time period, and the second power generation information of the wind power generation module in the future preset time period; establish a battery model corresponding to the energy storage battery, in which the potential E of the energy storage battery is E0-K E ·(1-SOC)·(Num+θ), where E0 is the open circuit voltage of the energy storage battery in a fully charged state, K E and Num are constants, SOC is the state of charge of the energy storage battery, θ is the temperature of the energy storage battery; the internal resistance of the energy storage battery R = R0 + R1·e -k· , R0 is the basic resistance of the energy storage battery, R1 is the maximum polarization resistance of the energy storage battery, and k is a constant; Establishing a converter model corresponding to the converter, wherein the inner loop control unit in the converter model is used to maintain the stability of current and voltage, and the outer loop control unit in the converter model is used to adjust active power and reactive power to cope with fluctuations in grid frequency and voltage; Based on the first and second power generation information, the battery model and the flow device model are simulated, and based on the simulation results, the working states of the energy storage battery and the wind power generation module in the future preset time period are adjusted.

2. The control method according to claim 1, characterized in that: Num=273.

3. The control method according to claim 1, characterized in that: The current control strategy of the inner loop control unit is: Among them, V d, is the input voltage of the converter, is the reference current, K p is the proportional control gain, K i is the integral control gain, I d, is the input current of the converter.

4. The control method according to claim 3, characterized in that: The adjustment strategy of the swimming power of the outer loop control unit is: ref =P0+K f ·(ω ref -ω), where P0 is the base power setting, ω ref is the reference frequency, ω is the actual frequency, K f is the frequency response coefficient.

5. A control device for a new energy system, the new energy system comprising: Photovoltaic power generation module, wind power generation module, power consumption equipment, energy storage battery and inverter, the inverter is used to connect to the power grid; the electric energy generated by the photovoltaic power generation module and the wind power generation module can be provided to the power consumption equipment and the energy storage battery, and can also be sold to the power grid through the inverter; the electric energy in the energy storage battery can be provided to the power consumption equipment, and can also be sold to the power grid through the inverter; the inverter can obtain electric energy from the power grid and provide it to the power consumption equipment and the energy storage battery; it is characterized by comprising the following modules: An information acquisition module is used to obtain the first power generation information of the photovoltaic power generation module in a future preset time period, and the second power generation information of the wind power generation module in the future preset time period; establish a battery model corresponding to the energy storage battery, in which the potential E of the energy storage battery is E0-K E ·(1-SOC)·(273+θ), where E0 is the open circuit voltage of the energy storage battery in a fully charged state, K E is a constant, SOC is the state of charge of the energy storage battery, θ is the temperature of the energy storage battery; the internal resistance of the energy storage battery R = R0 + R1·e -k·C , where R0 is the basic resistance of the energy storage battery, R1 is the maximum polarization resistance of the energy storage battery, and k is a constant; A model creation module, used to establish a converter model corresponding to the converter, wherein the inner loop control unit in the converter model is used to maintain the stability of current and voltage, and the outer loop control unit in the converter model is used to adjust active power and reactive power to cope with fluctuations in grid frequency and voltage; The processing module is used to simulate the battery model and the flow model based on the first and second power generation information, and adjust the working states of the energy storage battery and the wind power generation module in a future preset time period based on the simulation results.

6. The control device according to claim 5, characterized in that: Num=273.

7. The control device according to claim 5, characterized in that: The current control strategy of the inner loop control unit is: Among them, V d, is the input voltage of the converter, is the reference current, K p is the proportional control gain, K i is the integral control gain, I d, is the input current of the converter.

8. The control device according to claim 7, characterized in that: The adjustment strategy of the swimming power of the outer loop control unit is: ref =P0+K f ·(ω ref -ω), where P0 is the base power setting, ω ref is the reference frequency, ω is the actual frequency, K f is the frequency response coefficient.

9. An electronic device, characterized in that: include: A memory for storing executable instructions; A processor, configured to implement the control method according to any one of claims 1 to 4 when executing the executable instructions stored in the memory.

10. A storage medium, characterized in that: Executable instructions are stored, which are used to cause the processor to execute and implement the control method described in any one of claims 1 to 4.

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