Method for Improving Disturbance Rejection Performance of Energy Storage Inverter Based on Parameter Adaptive Control

Abstract

The present invention discloses a method for improving the anti-disturbance performance of a energy storage converter based on parameter adaptive control, belonging to the field of power electronic control technology. The method includes: performing active power control on the energy storage converter, simulating a synchronous generator to obtain the frequency regulation characteristics of a virtual synchronous generator, and realizing primary frequency regulation through droop control; performing reactive power control on the energy storage converter, simulating a synchronous generator to obtain the voltage regulation characteristics of a virtual synchronous generator, and ensuring the stability of the terminal voltage by adjusting the output reactive power; performing virtual impedance control on the energy storage converter, simulating the stator resistance and synchronous reactance of a synchronous generator, and improving the dynamic response of the entire power system; performing double closed-loop control of voltage and current on the energy storage converter, combining the fast response of the inner loop and the steady-state control of the outer loop to maintain the stability of the grid connection point voltage; performing parameter adaptive control on the energy storage converter, and dynamically adjusting the moment of inertia and damping coefficient by using an adaptive algorithm.

Description

Technical Field

[0001] The present invention belongs to the technical field of power electronic control, and particularly relates to a method for improving the anti-disturbance performance of an energy storage converter based on parameter adaptive control. Background Art

[0002] With the strengthening of global energy transformation and environmental protection requirements, the limitations of traditional fossil energy have gradually emerged, promoting the development of microgrids and renewable energy technologies. A microgrid can integrate various distributed energy sources, improve energy utilization efficiency and reduce carbon emissions. In this process, a large number of power electronic devices are used as interfaces to connect distributed power sources in the microgrid and the main grid. Although these devices have a fast response speed, due to their low inertia and small damping, they cannot effectively suppress disturbances and fluctuations in the power grid like traditional synchronous generators, affecting system stability. Traditional synchronous generators have a large mechanical inertia and natural damping, and can provide good frequency and voltage stability during power grid disturbances.

[0003] To make up for the deficiencies of power electronic devices in this regard, the virtual synchronous generator technology has emerged. By simulating the rotational inertia and damping characteristics of traditional synchronous generators, power electronic devices can have similar frequency and power regulation capabilities during grid connection operations, thereby enhancing system stability. The core of optimizing virtual synchronous generator technology lies in how to adjust its rotational inertia J and damping coefficient D to cope with the dynamic changes in the power grid operating environment. Traditional fixed-parameter control cannot adapt to the complex and changeable power grid environment, easily leading to a decline in system performance.

[0004] In summary, when power disturbances, power grid frequency fluctuations, and load mutations occur during grid connection, it is necessary to flexibly adjust the rotational inertia and damping coefficient to improve the dynamic response characteristics and stability of the system. Summary of the Invention

[0005] Aiming at the deficiencies of the prior art, the purpose of the present invention is to provide a method for improving the anti-disturbance performance of an energy storage converter based on parameter adaptive control, which solves the problems in the prior art.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A method for improving the anti-disturbance performance of an energy storage converter based on parameter adaptive control includes the following steps:

[0008] Perform active power control on the energy storage converter, simulate a synchronous generator to obtain the frequency modulation characteristics of a virtual synchronous generator, and achieve primary frequency regulation through droop control;

[0009] Perform reactive power control on the energy storage converter, simulate a synchronous generator to obtain the voltage regulation characteristics of a virtual synchronous generator, and ensure the stability of the terminal voltage by adjusting the output reactive power;

[0010] Based on the active power control and reactive power control of the energy storage converter, virtual impedance control is performed on the energy storage converter to simulate the stator resistance and synchronous reactance of a synchronous generator, improving the dynamic response of the power system composed of the energy storage converter and its connection to the power grid and local load;

[0011] Based on the virtual impedance control of the energy storage converter, voltage-current double closed-loop control is performed on the energy storage converter. Combining the fast response of the inner loop and the steady-state control of the outer loop, the voltage stability at the grid connection point is maintained;

[0012] Based on the active power control of the energy storage converter, parameter adaptive control is performed on the energy storage converter, and an adaptive algorithm is used to dynamically adjust the moment of inertia J and damping coefficient D.

[0013] Furthermore, the energy storage converter includes:

[0014] Three-level inverter: Converts the direct current provided by the energy storage device into alternating current, adopting a three-level topology structure;

[0015] LC filter: Connected to the output end of the three-level inverter, used to filter out high-frequency harmonics and smooth the output current;

[0016] Local load: Connected to the output end of the LC filter, representing the local power load that the energy storage converter needs to supply power to;

[0017] Grid connection point: The energy storage converter is connected to the external power grid through a grid interface. The grid connection point realizes the power exchange between the energy storage system and the external power grid, enabling the energy storage converter to transmit the stored electrical energy to the power grid and also extract electrical energy from the power grid to supplement the storage.

[0018] Furthermore, the frequency modulation characteristics of the virtual synchronous generator are:

[0019]

[0020] In the formula, ω is the mechanical angular velocity of the virtual synchronous generator, ω0 is the rated angular velocity of the virtual synchronous generator, J is the moment of inertia of the virtual synchronous generator, D is the damping coefficient, P ref is the given active power, P e is the electromagnetic power of the virtual synchronous generator, k p is the active-power frequency droop coefficient,;

[0021] The frequency-domain model of active power control is:

[0022]

[0023] In the formula, s is a complex frequency variable, which describes the dynamic behavior of the virtual synchronous generator during the frequency regulation process, including the response to power disturbances and the process of regulating the frequency.

[0024] Furthermore, the voltage regulation characteristic of the virtual synchronous generator is:

[0025] Q - Q ref = k q (U n - U0)

[0026] In the formula, Q is the reactive power of the virtual synchronous generator, Q ref is the reference reactive power, k q is the reactive - voltage droop coefficient, U n is the reference value of the terminal voltage, and U0 is the output voltage of the virtual synchronous generator.

[0027] The frequency - domain model of reactive power control is:

[0028]

[0029] In the formula, * represents the per - unit value, Q e is the electromagnetic reactive power, E0 and E m are respectively the no - load electromotive force and the virtual electromotive force of the virtual synchronous generator, k vp and k vi are respectively the proportional and integral coefficients.

[0030] Furthermore, the voltage - current double - closed - loop control takes the voltage at the grid connection point as the reference value of the voltage outer - loop control, which is responsible for the steady - state control of the system. It processes the long - term voltage deviation through the regulation strategy to keep the voltage within the set range; the output current of the virtual synchronous generator is used as the feed - forward compensation value of the current inner - loop control to provide instant feedback to correct the control response, so as to process the instantaneous change of the current. The current inner - loop is responsible for the fast response, and the voltage outer - loop is responsible for the steady - state control.

[0031] Furthermore, the steps of dynamically adjusting the moment of inertia J and the damping coefficient D by using the adaptive algorithm are as follows:

[0032] S51, collect the grid frequency deviation Δf to obtain the angular velocity deviation Δω = 2πΔf and the angular velocity change rate of the virtual synchronous generator for analyzing the operating state of the grid and the dynamic behavior of the virtual synchronous generator;

[0033] S52, based on the angular velocity deviation and the angular velocity change rate of the virtual synchronous generator, use the preset adaptive algorithm to calculate the moment of inertia J and the damping coefficient D required by the current entire energy storage converter and the power system composed of its connection with the grid and local loads;

[0034] S53, feedback the updated J and D parameters to the active power control loop to ensure that the control system can continuously optimize the response performance and stability of the system according to the latest dynamic parameters.

[0035] Further, the calculation formula for the moment of inertia J is:

[0036]

[0037]

[0038] In the formula, J is the actual moment of inertia of the virtual synchronous generator, J0 is the moment of inertia at steady state under rated power, k J is the adjustment parameter, M is the threshold of, and ΔP is the power disturbance.

[0039] Further, the calculation formula for the damping coefficient D is:

[0040]

[0041] In the formula, D0 is the initial damping coefficient.

[0042] The anti-disturbance performance improvement system of the energy storage converter based on parameter adaptive control includes:

[0043] Active power control module: Perform active power control on the energy storage converter, simulate the frequency modulation characteristics of the synchronous generator to obtain the virtual synchronous generator, and achieve primary frequency regulation through droop control;

[0044] Reactive power control module: Perform reactive power control on the energy storage converter, simulate the voltage regulation characteristics of the synchronous generator to obtain the virtual synchronous generator, and ensure the stability of the terminal voltage by adjusting the output reactive power;

[0045] Virtual impedance control module: Based on the active power control and reactive power control of the energy storage converter, perform virtual impedance control on the energy storage converter, simulate the stator resistance and synchronous reactance of the synchronous generator, and improve the dynamic response of the entire power system composed of the energy storage converter and its connection to the power grid and local load;

[0046] Voltage and current double closed-loop control module: Based on the virtual impedance control of the energy storage converter, perform voltage and current double closed-loop control on the energy storage converter, combine the fast response of the inner loop and the steady-state control of the outer loop to maintain the stability of the grid connection point voltage;

[0047] And, parameter adaptive control module: Based on the active power control of the energy storage converter, perform parameter adaptive control on the energy storage converter, adopt an adaptive algorithm to dynamically adjust the moment of inertia J and the damping coefficient D, and optimize the system performance in real time.

[0048] A computer storage medium stores a readable program, which can execute the above-mentioned method for improving the anti-interference performance of an energy storage converter based on parameter adaptive control when the program runs.

[0049] Advantages of the present invention:

[0050] The present invention introduces the virtual synchronous generator technology and uses adaptive control to dynamically adjust the moment of inertia J and damping coefficient D of the entire power system composed of the energy storage converter and its connections to the power grid and local load, which can significantly improve the anti-interference ability of the system; when the system responds to power disturbances, power grid frequency fluctuations, and load mutations, it can quickly adjust and maintain stability; after adding adaptive control, the dynamic response and stability of the system are enhanced, the reliability of power electronic devices is improved, the grid connection performance is significantly improved, and the stable operation of the power system in a complex power grid environment is ensured. Description of the drawings

[0051] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, other drawings can also be obtained based on these drawings without creative efforts.

[0052] Figure 1 It is the main circuit topology and control structure diagram of the NPC type energy storage converter of the present invention;

[0053] Figure 2 It is the schematic diagram of the parameter adaptive principle of the present invention;

[0054] Figure 3 It is the parameter adaptive control block diagram of the NPC type energy storage converter of the present invention;

[0055] Figure 4 It is the parameter adaptive control flow chart of the present invention;

[0056] Figure 5 It is the simulation result of the present invention under a given power disturbance;

[0057] Figure 6 It is the simulation result of the present invention under power grid frequency fluctuations;

[0058] Figure 7 It is the simulation result of the present invention under local load mutation. Specific implementation manners

[0059] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0060] Embodiment 1

[0061] As Figure 1 shown, the main circuit of the NPC type (neutral point clamped three-level converter) energy storage converter includes: a three-level inverter, an LC filter, a local load, and a grid connection point; among them, the three-level inverter converts the direct current of the energy storage device into alternating current, reduces harmonics and switching losses through the three-level structure, and improves the power quality; the LC filter is connected to the output end of the three-level inverter, used to filter out high-frequency harmonics, smooth the output current, and ensure the quality of the output voltage; the local load is connected to the output end of the LC filter, representing the local power load that the energy storage converter needs to supply power to; the grid connection point connects the energy storage converter to the grid through a grid interface, performs power exchange with the external grid, and ensures stable power supply and grid-connected operation.

[0062] The control system part includes a virtual synchronous generator control algorithm and a voltage-current double closed-loop control, so that the NPC type energy storage converter has a certain anti-interference ability when dealing with power disturbances, grid frequency fluctuations, and load mutations.

[0063] Figure 2 This is a schematic diagram of the parameter self-adaptation principle of the present invention, showing the influence of the changes in the moment of inertia J and the damping coefficient D on the system dynamic response. When the given active power changes from P1 to P2, the stable operating point of the system changes from a to b, and both the power change and the frequency change during the change process are damped oscillations; in process I, since both Δω and are greater than 0, it is necessary to increase J and D to prevent the increase of the angular frequency; in process II, although the generator angular velocity is still greater than the grid angular velocity, it enters the deceleration stage. At this time, the moment of inertia is appropriately reduced to accelerate the process of the angular velocity recovering to the rated value. The change processes of III and IV are similar to those of I and II.

[0064] Embodiment 2

[0065] In this embodiment, a method for improving the anti-interference performance of an energy storage converter based on parameter self-adaptive control is proposed. As Figure 3 shown, it includes the following steps:

[0066] S1, perform active power control on the energy storage converter, simulate the frequency modulation characteristics of the synchronous generator to obtain the virtual synchronous generator, and realize primary frequency regulation through droop control;

[0067] The active power control simulates the inertia response and primary frequency regulation of a real synchronous generator, providing virtual inertia and damping. The rotor mechanical equation and frequency regulation characteristics of the virtual synchronous generator are as follows:

[0068]

[0069] In the formula, ω is the mechanical angular velocity of the virtual synchronous generator, ω0 is the rated angular velocity of the virtual synchronous generator, J is the moment of inertia of the virtual synchronous generator, D is the damping coefficient, P ref is the given active power, P e is the electromagnetic power of the virtual synchronous generator, k p is the active - frequency droop coefficient.

[0070] The frequency - domain model of the active power control is:

[0071]

[0072] In the formula, s is the complex - frequency variable.

[0073] S2, for the reactive - power control of the energy storage converter, simulates the synchronous generator to obtain the voltage - regulation characteristics of the virtual synchronous generator, and ensures the stability of the terminal voltage by adjusting the output reactive power.

[0074] The reactive - power control provides reactive - power compensation to regulate the voltage. The droop characteristic of reactive - power - voltage (voltage - regulation characteristic of the virtual synchronous generator) is:

[0075] Q - Q ref = k q (U n - U0) (3)

[0076] In the formula, Q is the reactive power of the virtual synchronous generator, Q ref is the reference reactive power, k q is the reactive - power - voltage droop coefficient, U n is the reference value of the terminal voltage, and U0 is the output voltage of the virtual synchronous generator.

[0077] The frequency - domain model of the reactive - power control is:

[0078]

[0079] In the formula, * represents the per - unit value, Q e is the electromagnetic reactive power, E0 and E m are the no - load electromotive force and virtual electromotive potential of the virtual synchronous generator respectively, k vp 、k vi are the proportional and integral coefficients respectively.

[0080] S3. Based on the active power control and reactive power control of the energy storage converter, perform virtual impedance control on the energy storage converter to simulate the stator resistance and synchronous reactance of a synchronous generator, improve the dynamic response of the system (the power system composed of the entire energy storage converter and its connections to the power grid and local loads), and reduce the harmonic content of the system;

[0081] The model of the three-level inverter output equation is:

[0082]

[0083] In the formula, R v and L v are the virtual resistance and virtual inductance respectively, e is the output voltage on the three-level inverter side, u is the output voltage of the virtual synchronous generator, and i is the current on the equivalent impedance;

[0084] After dq transformation and Laplace transformation, the frequency-domain model of the virtual impedance control is:

[0085]

[0086] In the formula, s is the complex frequency variable.

[0087] Since i d and i q are constants at steady state and become 0 after differential operation, the frequency-domain model of the virtual impedance control is simplified to:

[0088]

[0089] S4. Based on the virtual impedance control of the energy storage converter, perform voltage-current double closed-loop control on the energy storage converter. Combining the fast response of the inner loop and the steady-state control of the outer loop, maintain the accuracy and stability of the voltage at the grid connection point;

[0090] The voltage-current double closed-loop control takes the voltage at the grid connection point as the reference value for the voltage outer loop control, and the output current of the virtual synchronous generator as the feed-forward compensation value for the current inner loop control. The current inner loop is responsible for fast response, and the voltage outer loop is responsible for steady-state control.

[0091] S5. Based on the active power control of the energy storage converter, perform parameter adaptive control on the energy storage converter. Use an adaptive algorithm to dynamically adjust the moment of inertia J and the damping coefficient D, optimize the dynamic response performance of the system, and suppress the oscillations and frequency fluctuations in the power grid.

[0092] The parameter adaptive control dynamically adjusts the moment of inertia J and the damping coefficient D by using an adaptive algorithm through real-time monitoring of the system operating state and grid parameters, so that the power system composed of the entire energy storage converter and its connections to the power grid and local loads can maintain good dynamic response and stability under different operating conditions, such asFigure 4 As shown, the adaptive algorithm includes the following steps:

[0093] S51. Collect the grid frequency deviation Δf to obtain the angular velocity deviation Δω = 2πΔf and the angular velocity change rate of the virtual synchronous generator

[0094] S52. Calculate the required moment of inertia J and damping coefficient D of the current entire energy storage converter and the power system composed of its connections to the grid and local loads based on the angular velocity deviation and the angular velocity change rate of the virtual synchronous generator;

[0095] The calculation formula for the moment of inertia J is:

[0096]

[0097] In the formula, J is the actual moment of inertia of the virtual synchronous generator, J0 is the moment of inertia at steady state under the rated power, k j is the adjustment parameter, M is the threshold value of, to prevent unnecessary fluctuations caused by frequent changes in the moment of inertia J;

[0098] The calculation formula for the damping coefficient D is:

[0099]

[0100] In the formula, D0 is the initial damping coefficient.

[0101] Among them, the calculation method of the adjustment parameter k j is:

[0102]

[0103] In the formula, ΔP is the power disturbance.

[0104] S53. Feed back the updated J and D parameters to the active power control.

[0105] S6. Real-time monitor the operating state of the entire energy storage converter and the power system composed of its connections to the grid and local loads, record ω, ΔP, and repeat S1 - S6 for each sampling period.

[0106] Embodiment 3

[0107] In this embodiment, a specific example is used to simulate and verify the advantages of the performance improvement method of the present invention;

[0108] Build a power system consisting of the entire energy storage converter and its connections to the power grid and local loads on the MATLAB / Simulink simulation platform, including a three-level inverter and its control system, an LC filter, a local load model, a power grid model, and a load switching switch. The control system part includes active power control, reactive power control, virtual impedance control, voltage and current double closed-loop control, and parameter adaptive control. Use a 1000V DC voltage source to simulate the energy storage power station, a load module to simulate the local load, and an adjustable three-phase voltage source to simulate the AC power grid with a voltage level of 380V and a frequency of 50Hz.

[0109] As Figure 5 shown, it is the simulation result under a given power disturbance in this embodiment; this figure shows the comparison of the system responses before and after adopting the parameter adaptive control method of the present invention when the system is subjected to a given power disturbance, as well as the changes in the moment of inertia and damping coefficient during the transient process. The figure shows the changes in the system frequency and power when the disturbance occurs.

[0110] As Figure 6 shown, it is the simulation result under power grid frequency fluctuations in this embodiment. This figure shows the comparison of the system responses before and after adopting the parameter adaptive control method of the present invention when the power grid frequency of the system fluctuates, as well as the changes in the moment of inertia and damping coefficient during the transient process. The figure shows the changes in the system frequency and power when the disturbance occurs.

[0111] As Figure 7 shown, it is the simulation result under a sudden change in local load in this embodiment. This figure shows the system response when a sudden change in local load occurs and the changes in the moment of inertia and damping coefficient during the transient process after adopting the parameter adaptive control method of the present invention. The figure shows the changes in the system frequency and power when the disturbance occurs.

[0112] The method of the present invention can be implemented in hardware, firmware, or be implemented as software or computer code that can be stored in a recording medium (such as a CDROM, RAM, floppy disk, hard disk, or magneto-optical disk), or be implemented as computer code that is originally stored in a remote recording medium or a non-transitory machine-readable medium and downloaded through a network and will be stored in a local recording medium, so that the method described herein can be stored on such a software process on a recording medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware (such as an ASIC or FPGA). It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component (such as RAM, ROM, flash memory, etc.) that can store or receive software or computer code, and when the software or computer code is accessed and executed by the computer, the processor, or the hardware, the method described herein is implemented. In addition, when a general-purpose computer accesses the code for implementing the method shown herein, the execution of the code converts the general-purpose computer into a dedicated computer for executing the method shown herein.

[0113] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments, and what is described in the above embodiments and the specification is only to illustrate the principle of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed.

Claims

1. A method for improving the anti-interference performance of an energy storage converter based on parameter adaptive control, characterized in that: The following steps are involved: Active power control is performed on the energy storage converter, the frequency regulation characteristics of the virtual synchronous generator are obtained by simulating the synchronous generator, and primary frequency regulation is achieved through droop control; Perform reactive power control on the energy storage converter, simulate the synchronous generator to obtain the voltage regulation characteristics of the virtual synchronous generator, and ensure the stability of the terminal voltage by adjusting the output reactive power; Based on the active and reactive power control of the energy storage converter, the virtual impedance control of the energy storage converter is carried out to simulate the stator resistance and synchronous reactance of the synchronous generator, so as to improve the dynamic response of the power system composed of the energy storage converter and its connection with the power grid and local loads; Based on the virtual impedance control of the energy storage converter, the voltage and current dual closed-loop control of the energy storage converter is carried out, combining the fast response of the inner loop and the steady-state control of the outer loop to maintain the voltage stability at the grid connection point; Based on the active power control of the energy storage converter, the parameters of the energy storage converter are adaptively controlled, and the moment of inertia J and the damping coefficient D are dynamically adjusted using an adaptive algorithm; The steps of dynamically adjusting the moment of inertia J and damping coefficient D using the adaptive algorithm are: S51, collecting the grid frequency deviation Δf to obtain the angular velocity deviation Δω=2πΔf and the angular velocity change rate of the virtual synchronous generator Used to analyze the operating status of the power grid and the dynamic behavior of virtual synchronous generators; S52, based on the angular velocity deviation and the angular velocity change rate of the virtual synchronous generator, using a preset adaptive algorithm to calculate the moment of inertia J and damping coefficient D required for the power system consisting of the entire energy storage converter and its connection with the power grid and the local load; S53, feeds back the updated J and D parameters to the active control loop to ensure that the control system can continuously optimize the system response performance and stability according to the latest dynamic parameters; The calculation formula of the moment of inertia J is: Where J is the actual moment of inertia of the virtual synchronous generator, J0 is the moment of inertia at rated power in steady state, k J is the adjustment parameter, M is The threshold value, ΔP is the power disturbance; The calculation formula of the damping coefficient D is: Where D0 is the initial damping coefficient.

2. The method for improving the anti-interference performance of an energy storage converter based on parameter adaptive control according to claim 1 is characterized in that: The energy storage converter comprises: Three-level inverter: converts the DC power provided by the energy storage device into AC power, using a three-level topology; LC filter: connected to the output end of the three-level inverter to filter out high-frequency harmonics and smooth the output current; Local load: connected to the output end of the LC filter, representing the local power load required to be powered by the energy storage converter; Grid connection point: The energy storage inverter is connected to the external grid through the grid interface. The grid connection point realizes power exchange between the energy storage system and the external grid, allowing the energy storage inverter to transmit stored electrical energy to the grid, and also to extract electrical energy from the grid to supplement storage.

3. The method for improving the anti-interference performance of an energy storage converter based on parameter adaptive control according to claim 2 is characterized in that: The frequency regulation characteristics of the virtual synchronous generator are: Where ω is the mechanical angular velocity of the virtual synchronous generator, ω0 is the rated angular velocity of the virtual synchronous generator, J is the moment of inertia of the virtual synchronous generator, D is the damping coefficient, and P is ref is the given active power, P e is the electromagnetic power of the virtual synchronous generator, k p is the active power-frequency droop coefficient; The frequency domain model of active power control is: Where s is a complex frequency variable, which describes the dynamic behavior of the virtual synchronous generator during the frequency regulation process, including the response to power disturbances and the process of adjusting the frequency.

4. The method for improving the anti-interference performance of an energy storage converter based on parameter adaptive control according to claim 3 is characterized in that: The voltage regulation characteristics of the virtual synchronous generator are: Q-Q ref =k q (U n -U0) Where Q is the reactive power of the virtual synchronous generator, Q ref is the reference reactive power, k q is the reactive power-voltage droop coefficient, U n is the reference value of the terminal voltage, U0 is the output voltage of the virtual synchronous generator; The frequency domain model of reactive power control is: In the formula, * represents the per unit value, Q e is the electromagnetic reactive power, E0 and E m are the no-load electromotive force and virtual electromotive force of the virtual synchronous generator, k vp , k vi are the proportional and integral coefficients respectively.

5. The method for improving the anti-interference performance of an energy storage converter based on parameter adaptive control according to claim 1 is characterized in that: The voltage-current dual closed-loop control uses the voltage at the grid connection point as the reference value for the voltage outer loop control, is responsible for the steady-state control of the system, and handles long-term voltage deviations through adjustment strategies to keep the voltage within a set range; the output current of the virtual synchronous generator is used as the feedforward compensation value for the current inner loop control, providing instant feedback to correct the control response, thereby handling instantaneous changes in current. The current inner loop is responsible for rapid response, and the voltage outer loop is responsible for steady-state control.

6. A system for improving the anti-disturbance performance of energy storage converters based on parameter adaptive control, characterized in that: include: Active power control module: performs active power control on the energy storage converter, simulates the synchronous generator to obtain the frequency modulation characteristics of the virtual synchronous generator, and realizes primary frequency regulation through droop control; Reactive power control module: It performs reactive power control on the energy storage converter, simulates the synchronous generator to obtain the voltage regulation characteristics of the virtual synchronous generator, and ensures the stability of the terminal voltage by adjusting the output reactive power; Virtual impedance control module: Based on the active and reactive power control of the energy storage converter, the virtual impedance control of the energy storage converter is performed to simulate the stator resistance and synchronous reactance of the synchronous generator, so as to improve the dynamic response of the power system composed of the entire energy storage converter and its connection with the power grid and local loads; Voltage and current dual closed-loop control module: Based on the virtual impedance control of the energy storage converter, the voltage and current dual closed-loop control of the energy storage converter is performed, combining the fast response of the inner loop and the steady-state control of the outer loop to maintain the voltage stability at the grid connection point; And, parameter adaptive control module: based on the active power control of the energy storage converter, the parameter adaptive control of the energy storage converter is performed, and the moment of inertia J and damping coefficient D are dynamically adjusted by an adaptive algorithm to optimize the system performance in real time; The steps of dynamically adjusting the moment of inertia J and damping coefficient D using the adaptive algorithm are: S51, collecting the grid frequency deviation Δf to obtain the angular velocity deviation Δω=2πΔf and the angular velocity change rate of the virtual synchronous generator Used to analyze the operating status of the power grid and the dynamic behavior of virtual synchronous generators; S52, based on the angular velocity deviation and the angular velocity change rate of the virtual synchronous generator, using a preset adaptive algorithm to calculate the moment of inertia J and damping coefficient D required for the power system consisting of the entire energy storage converter and its connection with the power grid and the local load; S53, feeds back the updated J and D parameters to the active control loop to ensure that the control system can continuously optimize the system response performance and stability according to the latest dynamic parameters; The calculation formula of the moment of inertia J is: Where J is the actual moment of inertia of the virtual synchronous generator, J0 is the moment of inertia at rated power in steady state, k J is the adjustment parameter, M is The threshold value, ΔP is the power disturbance; The calculation formula of the damping coefficient D is: Where D0 is the initial damping coefficient.

7. A computer storage medium storing a readable program, which, when running, can execute the method for improving the anti-disturbance performance of an energy storage converter based on parameter adaptive control as described in any one of claims 1 to 5.

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