Energy storage converter parameter adaptive adjustment method and system, storage medium and equipment

Abstract

The embodiment of the invention discloses an energy storage converter parameter adaptive adjustment method, and the method comprises the steps: constructing an equivalent circuit of an energy storage converter, and determining an electrical parameter analytical expression of the energy storage converter; processing the electrical parameter analytical expression of the energy storage converter according to a Lyapunov stability criterion, and determining a theoretical power maximum value Pmax; and collecting the output active power P of the energy storage converter in real time, and adjusting the parameters of the energy storage converter according to the comparison relationship between the output active power P and the theoretical power maximum value Pmax. Through accurate modeling, real-time monitoring and self-adaptive adjustment, optimal adjustment of parameters of the energy storage converter is realized, the working efficiency and stability of the energy storage converter are improved, the maintenance cost is reduced, and a powerful guarantee is provided for reliable operation of an energy storage system.

Description

Technical Field

[0001] The present invention relates to the technical field of grid-type energy storage converter control technology, and in particular to a method, system, storage medium and device for adaptively adjusting parameters of an energy storage converter. Background Art

[0002] In the power system, the grid-based control algorithm plays a vital role. It ensures the stable operation of the system by adjusting key parameters such as the virtual inertia time constant and damping. However, the setting of these parameters is not easy, as they are directly related to the dynamic response and stability of the system. In traditional control strategies, the virtual inertia time constant and damping parameters are often set to fixed values, which brings many challenges in practical applications. Due to the complex and changeable operating conditions of the power system, fixed parameter values ​​are difficult to meet the stability and reliability requirements under different conditions.

[0003] To meet this challenge, existing technical solutions attempt to use simplified intelligent algorithms for adaptive adjustment or optimization in the hope of achieving optimal configuration of parameters under different working conditions. However, the reliability of these methods has not been fully verified. In practical applications, once the algorithm deviates or errors occur, it may immediately lead to converter instability and system oscillation, and may even cause more serious chain failures, such as station shutdown, posing a serious threat to the safe and stable operation of the power system.

[0004] In addition, although there are also proposals to make adaptive adjustments based on the strength of the power grid, this approach usually relies on accurate monitoring and assessment of the strength of the power grid, which may be difficult to achieve in some complex or special situations. Summary of the invention

[0005] Based on this, it is necessary to propose a method for adaptively adjusting parameters of energy storage converters to address the above problems.

[0006] A method for adaptively adjusting parameters of an energy storage converter, the method comprising the following steps:

[0007] Constructing an equivalent circuit of an energy storage converter and determining an analytical expression of electrical parameters of the energy storage converter;

[0008] The electrical parameter analytical expressions of the energy storage converter are processed according to the Lyapunov stability criterion to determine the theoretical maximum power P max ;

[0009] The output active power P of the energy storage converter is collected in real time, and the output active power P and the theoretical maximum power P are calculated based on the output active power P and the theoretical maximum power P. max The energy storage converter parameters are adjusted based on the comparison relationship.

[0010] In the above scheme, before constructing the equivalent circuit of the energy storage converter and determining the analytical expression of the electrical parameters of the energy storage converter, the method further includes obtaining the equivalent circuit expression:

[0011]

[0012] Where, P is the calculated value of the converter output active power, P ref is the given value of active power, D p is the damping coefficient, K f is the frequency modulation coefficient, T j is the moment of inertia, V ref is the voltage given value, V m is the voltage measurement value, Q is the reactive power calculation value, Q ref is the reactive power given value, K q is the voltage regulation coefficient.

[0013] In the above scheme, the equivalent circuit of the energy storage converter is constructed and the analytical expression of the electrical parameters of the energy storage converter is determined, which specifically includes:

[0014] Determine the voltage-current relationship of all resistances, inductors and capacitors of the energy storage converter according to the equivalent circuit expression of the equivalent circuit of the energy storage converter;

[0015] The DC side power of the energy storage converter is used as the AC side power, and the relationship between the voltage and the current is determined and converted into a potential function expression;

[0016] The potential function expression is partially differentiated to obtain an analytical expression of the electrical parameters of the energy storage converter.

[0017] In the above scheme, the electrical parameter analytical expression of the energy storage converter is processed according to the Lyapunov stability criterion to determine the theoretical maximum power P max , specifically including:

[0018]

[0019] Among them, P max is the theoretical maximum power, V m is the voltage measurement value.

[0020] In the above scheme, the electrical parameter analytical expression of the energy storage converter is processed according to the Lyapunov stability criterion to determine the theoretical maximum power P max , then, the method further comprises: according to the theoretical maximum power P max Determine the boundary conditions for system stability:

[0021] Obtaining a characteristic equation of the potential function and defining it;

[0022] Partially differentiating the potential function expression to obtain coefficients of the characteristic equation;

[0023] According to the Lyapunov stability criterion and the coefficients of the characteristic equation, the boundary conditions for system stability are determined:

[0024] μ1+μ1>0P u (i,v)→∞|i|+|v|→∞

[0025] Where μ1 and μ2 are the minimum characteristic roots.

[0026] In the above scheme, the real-time acquisition of the output active power P of the energy storage converter is performed according to the output active power P and the theoretical maximum power P. max The energy storage converter parameters are adjusted based on the comparison relationship, including:

[0027] When the output active power P of the energy storage converter meets the following conditions, the current virtual inertia time constant T is maintained. j and the damping coefficient D p :

[0028]

[0029] When the output active power P of the energy storage converter satisfies the following conditions, the virtual inertia time constant T j and the damping coefficient D p Make adjustments:

[0030]

[0031] Where, P is the output active power of the energy storage converter, P max is the theoretical maximum power, V m is the voltage measurement value.

[0032] In the above scheme, the real-time acquisition of the output active power P of the energy storage converter is performed according to the output active power P and the theoretical maximum power P. max The energy storage converter parameters are adjusted based on the comparison relationship, including:

[0033] When the output active power P of the energy storage converter is greater than 0.5, the virtual inertia time constant T is adjusted according to the following formula: j and the damping coefficient D p :

[0034]

[0035]

[0036] Among them, Tj0 is the initial virtual inertia time constant.

[0037] The present application also proposes an energy storage converter parameter adaptive adjustment system, the system comprising: an analytical expression determination unit, a maximum power determination unit and an adjustment unit;

[0038] The analytical expression determination unit is used to construct an equivalent circuit of the energy storage converter and determine an analytical expression of electrical parameters of the energy storage converter;

[0039] The maximum power determination unit is used to process the electrical parameter analytical expression of the energy storage converter according to the Lyapunov stability criterion to determine the theoretical maximum power P max ;

[0040] The adjustment unit is used to collect the output active power P of the energy storage converter in real time, and adjust the output active power P according to the output active power P and the theoretical maximum power P max The energy storage converter parameters are adjusted based on the comparison relationship.

[0041] The present application also proposes a readable storage medium storing a computer program. When the computer program is executed by a processor, the processor executes the following steps:

[0042] Constructing an equivalent circuit of an energy storage converter and determining an analytical expression of electrical parameters of the energy storage converter;

[0043] The electrical parameter analytical expressions of the energy storage converter are processed according to the Lyapunov stability criterion to determine the theoretical maximum power P max ;

[0044] The output active power P of the energy storage converter is collected in real time, and the output active power P and the theoretical maximum power P are calculated based on the output active power P and the theoretical maximum power P. max The energy storage converter parameters are adjusted based on the comparison relationship.

[0045] The present application also proposes a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor executes the following steps of the computer program:

[0046] Constructing an equivalent circuit of an energy storage converter and determining an analytical expression of electrical parameters of the energy storage converter;

[0047] The electrical parameter analytical expressions of the energy storage converter are processed according to the Lyapunov stability criterion to determine the theoretical maximum power P max ;

[0048] The output active power P of the energy storage converter is collected in real time, and the output active power P and the theoretical maximum power P are calculated based on the output active power P and the theoretical maximum power P.max The energy storage converter parameters are adjusted based on the comparison relationship.

[0049] The use of the embodiment of the present invention has the following beneficial effects: first constructing an equivalent circuit of the energy storage converter to determine the analytical expression of the electrical parameters of the energy storage converter; processing the analytical expression of the electrical parameters of the energy storage converter according to the Lyapunov stability criterion to determine the theoretical maximum power Pmax; collecting the output active power P of the energy storage converter in real time, and adjusting the parameters of the energy storage converter according to the comparison relationship between the output active power P and the theoretical maximum power Pmax. This method realizes the adaptive adjustment of the parameters of the energy storage converter by constructing an equivalent circuit, determining the analytical expression of the electrical parameters, using the Lyapunov stability criterion, and collecting the output power and the parameters of the adaptive adjustment in real time, thereby optimizing the operating performance and stability of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0051] in:

[0052] Figure 1 A schematic diagram of a flow chart of a method for adaptively adjusting parameters of an energy storage converter in one embodiment;

[0053] Figure 2 For Figure 1 The corresponding grid-connected converter equivalent circuit structure diagram. DETAILED DESCRIPTION

[0054] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only 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 ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0055] In the following description, a large number of specific details are given in order to provide a more thorough understanding of the present invention; however, it is obvious to those skilled in the art that the present invention can be implemented without one or more of these details; in other examples, in order to avoid confusion with the present invention, some technical features known in the art are not described, and it should be understood that the present invention can be implemented in different forms and should not be interpreted as limited to the embodiments presented here; on the contrary, providing these embodiments will make the disclosure thorough and complete and fully convey the scope of the present invention to those skilled in the art.

[0056] The purpose of the terms used herein is only to describe specific embodiments and is not intended to be limiting of the present invention. When used herein, the singular forms "a", "an" and "said / the" are also intended to include the plural forms, unless the context clearly indicates otherwise, and it should also be understood that the terms "consisting of" and / or "comprising", when used in this specification, determine the presence of the features, integers, steps, operations, elements and / or parts, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, parts and / or groups. When used herein, the term "and / or" includes any and all combinations of the relevant listed items.

[0057] The main problem faced by existing technologies is that fixed parameter configurations cannot meet the stability and reliability requirements under different operating conditions. Although the existing adaptive adjustment methods have improved the adaptability of the system to a certain extent, their reliability still lacks actual engineering verification and poses potential safety risks.

[0058] In view of the above-mentioned defects of the prior art, the present invention proposes a new solution. The present invention aims to establish analytical expressions of resistance, reactance, capacitance, voltage and current in the circuit by deeply analyzing the nonlinear characteristics of the converter equivalent circuit. On this basis, the boundary conditions for the stability of the port voltage and output active power are derived using the Lyapunov stability criterion. Through these theoretical derivations, the present invention can dynamically adjust the virtual inertia time constant and damping coefficient of the grid-type converter according to the actual voltage and active output of the system operation. The core purpose of the present invention is to achieve automatic matching and stable operation of the output characteristics of the grid-type converter in different scenarios, which can effectively solve the system instability problem caused by improper parameter configuration in the prior art and improve the overall stability and reliability of the power system.

[0059] To facilitate understanding, the relevant terms involved in this application are first introduced below.

[0060] (1) Power Conversion System (PCS) is one of the key devices in the energy storage system. It can control the charging and discharging process of the battery, perform AC / DC conversion, and directly supply power to AC loads when there is no power grid.

[0061] (2) Potential function: In power systems, potential functions can be used to analyze the stability and reliability of power systems. For example, by calculating the potential function values ​​at each point in the power system, the voltage stability and power flow of the system can be evaluated;

[0062] (3) Lyapunov stability criterion: For linear systems, the Lyapunov stability criterion can be simplified to solving a linear matrix inequality (LMI) or algebraic equation. This usually involves constructing a positive definite matrix Q and a positive definite matrix P so that the Lyapunov matrix equation (for continuous systems) or the Lyapunov algebraic equation (for discrete systems) holds.

[0063] In order to thoroughly understand the present invention, a detailed structure will be presented in the following description to illustrate the technical solution proposed by the present invention; optional embodiments of the present invention are described in detail as follows, but in addition to these detailed descriptions, the present invention may also have other implementation methods.

[0064] like Figure 1 As shown, in one embodiment, a method for adaptively adjusting parameters of an energy storage converter is provided, and the method for adaptively adjusting parameters of an energy storage converter includes steps S101 to S103, which are described in detail as follows:

[0065] S101, constructing an equivalent circuit of an energy storage converter and determining an analytical expression of electrical parameters of the energy storage converter;

[0066] By constructing an equivalent circuit of the energy storage inverter, its internal electrical connections and signal transmission paths can be clearly displayed. The equivalent circuit helps to understand the working principle of the energy storage inverter and lays the foundation for the subsequent electrical parameter analysis. Specifically, the electrical parameter analysis expression contains the key electrical parameters of the energy storage inverter, such as voltage, current, power, etc. The analytical expression can be used for subsequent theoretical analysis and actual calculations to improve the design accuracy and performance evaluation accuracy of the energy storage inverter.

[0067] like Figure 2 The figure shows the equivalent circuit diagram of the converter. Since it is a nonlinear network, the potential function expression shown in formula (1) can be listed based on the voltage relationship of all resistors, inductors and capacitors in the circuit, where v μ and i μ are the voltage and current of all non-capacitive components, v σ and i σ For the voltage and current in all capacitive elements:

[0068] P p (i,v)=∑∫v μ d μ +∑∫v σ d σ (1)

[0069] In some embodiments, an equivalent circuit of the energy storage converter is constructed and an analytical expression of an electrical parameter of the energy storage converter is determined. Before that, the method further includes obtaining an equivalent circuit expression:

[0070]

[0071] Where, P is the calculated value of the converter output active power, P ref is the given value of active power, D p is the damping coefficient, K f is the frequency modulation coefficient, T j is the moment of inertia, V ref is the voltage given value, V m is the voltage measurement value, Q is the reactive power calculation value, Q ref is the reactive power given value, K q is the voltage regulation coefficient.

[0072] Furthermore, when the loss is ignored, the DC side power is equal to the AC side power, and from (2) we can get:

[0073]

[0074] According to the potential function definition, (3) can be changed to (4):

[0075]

[0076] At this point, the energy balance is analyzed from the nonlinear theory according to the converter equivalent circuit, and the analytical expressions of resistance, reactance, capacitance, voltage and current are established.

[0077] In some embodiments, constructing an equivalent circuit of an energy storage converter and determining an analytical expression of electrical parameters of the energy storage converter specifically includes:

[0078] According to the equivalent circuit expression of the equivalent circuit of the energy storage converter, the voltage and current relationship of all its resistances, inductors and capacitors is determined;

[0079] The DC side power of the energy storage converter is used as the AC side power, and the relationship between voltage and current is determined and converted into a potential function expression;

[0080] The potential function expression is partially differentiated and the analytical expression of the electrical parameters of the energy storage converter is obtained.

[0081] Specifically, the characteristic equation of the potential function is defined as follows:

[0082] P p (i,v)=-A(i)+B(v)+(i,γv-α) (5)

[0083] By taking partial differentials of equation (4), we can obtain:

[0084]

[0085] S102. Process the analytical expression of the electrical parameters of the energy storage converter according to the Lyapunov stability criterion to determine the maximum theoretical power P max ;

[0086] Stability analysis is an important prerequisite for ensuring the stable operation of energy storage converters, which helps to avoid system instability and failures. The stability of the system can be determined by processing the analytical expressions of the electrical parameters of the energy storage converter using the Lyapunov stability criterion.

[0087] Through stability analysis, the theoretical maximum power P of the energy storage converter can be derived. max , P max It is the maximum power output that the energy storage converter can achieve under specific conditions, which is of great significance for evaluating its performance and optimizing system design.

[0088] In some embodiments, the electrical parameter analytical expression of the energy storage converter is processed according to the Lyapunov stability criterion to determine the theoretical maximum power P max , specifically including:

[0089]

[0090] Among them, P max is the theoretical maximum power, V m is the voltage measurement value.

[0091] In some embodiments, the electrical parameter analytical expression of the energy storage converter is processed according to the Lyapunov stability criterion to determine the theoretical maximum power P max , then, the method further comprises: according to the theoretical maximum power P max Determine the boundary conditions for system stability:

[0092] Obtain the characteristic equation of the potential function and define it;

[0093] Partially differentiate the potential function expression to obtain the coefficients of the characteristic equation;

[0094] According to the Lyapunov stability criterion and the coefficients of the characteristic equation, the boundary conditions for system stability are determined:

[0095] μ1+μ1>0P u (i, v)→∞|i|+|v|→∞

[0096] Among them, μ1 and μ2 are the minimum characteristic roots.

[0097] Specifically, the fifth theorem of potential function and Lyapunov stability criterion can be deduced that the system is stable when it meets the following conditions:

[0098] μ1+μ1>0P u (i, v)→∞|i|+|v|→∞ (7)

[0099] Among them, μ1 and μ2 are the matrices L -1 / 2 A ii (i)L -1 / 2 and C -1 / 2 B vv (v)C -1 / 2 The smallest characteristic root, A ii (i) and B vv (v) is the second-order derivative of A(i) and B(v) in equation (5).

[0100] From formula (4), we can get:

[0101]

[0102] From formula (8), we can get:

[0103]

[0104] From this we can get L -1 / 2 A ii (i)L -1 / 2 and C -1 / 2 B vv (v)C -1 / 2 The characteristic roots of:

[0105]

[0106] Substituting formula (10) into formula (7), we get:

[0107]

[0108] Formula (11) is the boundary condition for system stability.

[0109] S103, real-time acquisition of the output active power P of the energy storage converter, and the output active power P and the theoretical maximum power P max The energy storage converter parameters are adjusted based on the comparison relationship.

[0110] By collecting the output active power P of the energy storage converter in real time, its actual operating status can be monitored. Real-time data collection helps to promptly detect system anomalies and faults, providing a basis for subsequent parameter adjustments.

[0111] According to the output active power P and the theoretical maximum power P max The comparison relationship between the energy storage converter and the inverter parameters is adjusted. When P approaches or reaches P max When the system is running, the system performance can be optimized by adjusting the parameters to improve the efficiency and stability of the energy storage converter. The parameter adjustment can also be flexibly adjusted according to the actual application requirements and system changes to meet the needs of different scenarios.

[0112] In some embodiments, the output active power P of the energy storage converter is collected in real time, and the output active power P and the theoretical maximum power P are calculated. max The energy storage converter parameters are adjusted based on the comparison relationship, including:

[0113] When the output active power P of the energy storage converter meets the following conditions, the current virtual inertia time constant T is maintained. j and the damping coefficient D p :

[0114]

[0115] When the output active power P of the energy storage converter meets the following conditions, the virtual inertia time constant T j and the damping coefficient D p Make adjustments:

[0116]

[0117] Where, P is the output active power of the energy storage converter, P max is the theoretical maximum power, V m is the voltage measurement value.

[0118] It can be seen that when the converter output active power P satisfies equation (13), the virtual inertia time constant Tj and the damping coefficient D p When the output power P satisfies equation (14), the virtual inertia time constant Tj and damping coefficient D p Make adjustments.

[0119] Preferably, since the outer loop of the network control is essentially a second-order system, the analytical expression of its performance parameters can be obtained from its small signal model and transfer function. When the damping ratio is 0.707, T j and D p The relationship can be expressed by formula (15):

[0120]

[0121] Among them, X s is the impedance of the converter filter reactance.

[0122] In some embodiments, the output active power P of the energy storage converter is collected in real time, and the output active power P and the theoretical maximum power P are calculated. max The energy storage converter parameters are adjusted based on the comparison relationship, including:

[0123] When the output active power P of the energy storage converter is greater than 0.5, adjust the virtual inertia time constant T according to the following formula: j and the damping coefficient D p :

[0124]

[0125] Among them, T j0 is the initial virtual inertia time constant.

[0126] In summary, the present invention analyzes the energy balance relationship from the nonlinear theory based on the converter equivalent circuit to establish analytical expressions of resistance, reactance and capacitance in the circuit, and then derives the boundary conditions for the stability of the port voltage and output active power according to the Lyapunov stability criterion, so as to dynamically adjust the virtual inertia time constant and damping coefficient of the grid-type converter according to the actual voltage and active output of the system operation, thereby realizing automatic matching of the output characteristics and stable operation of the grid-type converter in different scenarios.

[0127] The present application also proposes an energy storage converter parameter adaptive adjustment system, the system comprising: an analytical expression determination unit, a maximum power determination unit and an adjustment unit;

[0128] An analytical expression determination unit is used to construct an equivalent circuit of the energy storage converter and determine an analytical expression of electrical parameters of the energy storage converter;

[0129] The maximum power determination unit is used to process the analytical expression of the electrical parameters of the energy storage converter according to the Lyapunov stability criterion to determine the maximum theoretical power P. max ;

[0130] The adjustment unit is used to collect the output active power P of the energy storage converter in real time, and adjust the output active power P and the theoretical maximum power P max The energy storage converter parameters are adjusted based on the comparison relationship.

[0131] The present application also proposes a readable storage medium storing a computer program. When the computer program is executed by a processor, the processor executes the following steps:

[0132] Construct the equivalent circuit of the energy storage converter and determine the analytical expressions of the electrical parameters of the energy storage converter;

[0133] According to the Lyapunov stability criterion, the analytical expression of the electrical parameters of the energy storage converter is processed to determine the maximum theoretical power P max ;

[0134] The output active power P of the energy storage converter is collected in real time, and the output active power P and the theoretical maximum power P are calculated. max The energy storage converter parameters are adjusted based on the comparison relationship.

[0135] The present application also proposes a computer device, including a memory and a processor, wherein the memory stores a computer program, and the computer program is executed by the processor to perform the following steps:

[0136] Construct the equivalent circuit of the energy storage converter and determine the analytical expressions of the electrical parameters of the energy storage converter;

[0137] According to the Lyapunov stability criterion, the analytical expression of the electrical parameters of the energy storage converter is processed to determine the maximum theoretical power P max ;

[0138] The output active power P of the energy storage converter is collected in real time, and the output active power P and the theoretical maximum power P are calculated. max The energy storage converter parameters are adjusted based on the comparison relationship.

[0139] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in the present application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0140] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0141] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the patent of the present application. It should be pointed out that, for ordinary technicians in this field, several modifications and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. The above disclosure is only a preferred embodiment of the present invention, and of course it cannot be used to limit the scope of the rights of the present invention. Therefore, equivalent changes made according to the claims of the present invention are still within the scope covered by the present invention.

Claims

1. A method for adaptively adjusting parameters of an energy storage converter, characterized in that: The method comprises: Constructing an equivalent circuit of an energy storage converter and determining an analytical expression of electrical parameters of the energy storage converter; The electrical parameter analytical expressions of the energy storage converter are processed according to the Lyapunov stability criterion to determine the theoretical maximum power P max ; The output active power P of the energy storage converter is collected in real time, and the output active power P and the theoretical maximum power P are calculated based on the output active power P and the theoretical maximum power P. max The energy storage converter parameters are adjusted based on the comparison relationship.

2. The method for adaptively adjusting parameters of an energy storage converter according to claim 1, characterized in that: Before constructing the equivalent circuit of the energy storage converter and determining the analytical expression of the electrical parameters of the energy storage converter, the method further includes obtaining the equivalent circuit expression: Where, P is the calculated value of the converter output active power, P ref is the given value of active power, D p is the damping coefficient, K f is the frequency modulation coefficient, T j is the moment of inertia, V ref is the voltage given value, V m is the voltage measurement value, Q is the reactive power calculation value, Q ref is the reactive power given value, K q is the voltage regulation coefficient.

3. The method for adaptively adjusting parameters of an energy storage converter according to claim 2, characterized in that: The constructing of an equivalent circuit of the energy storage converter and determining an analytical expression of electrical parameters of the energy storage converter specifically includes: Determine the voltage-current relationship of all resistances, inductors and capacitors of the energy storage converter according to the equivalent circuit expression of the equivalent circuit of the energy storage converter; The DC side power of the energy storage converter is used as the AC side power, and the relationship between the voltage and the current is determined and converted into a potential function expression; The potential function expression is partially differentiated to obtain an analytical expression of the electrical parameters of the energy storage converter.

4. The method for adaptively adjusting parameters of an energy storage converter according to claim 3, characterized in that: The electrical parameter analytical expression of the energy storage converter is processed according to the Lyapunov stability criterion to determine the theoretical maximum power P max , specifically including: Among them, P max is the theoretical maximum power, V m is the voltage measurement value.

5. The method for adaptively adjusting parameters of an energy storage converter according to claim 4, characterized in that: The electrical parameter analytical expression of the energy storage converter is processed according to the Lyapunov stability criterion to determine the theoretical maximum power P max , then, the method further comprises: according to the theoretical maximum power P max Determine the boundary conditions for system stability: Obtaining a characteristic equation of the potential function and defining it; Partially differentiating the potential function expression to obtain coefficients of the characteristic equation; According to the Lyapunov stability criterion and the coefficients of the characteristic equation, the boundary conditions for system stability are determined: μ1+μ1>0P u (i,v)→∞|i|+|v|→∞ Where μ1 and μ2 are the minimum characteristic roots.

6. The method for adaptively adjusting parameters of an energy storage converter according to claim 5, characterized in that: The real-time acquisition of the output active power P of the energy storage converter is based on the output active power P and the theoretical maximum power P max The energy storage converter parameters are adjusted based on the comparison relationship, including: When the output active power P of the energy storage converter meets the following conditions, the current virtual inertia time constant T is maintained. j and the damping coefficient D p : When the output active power P of the energy storage converter satisfies the following conditions, the virtual inertia time constant T j and the damping coefficient D p Make adjustments: Where, P is the output active power of the energy storage converter, P max is the theoretical maximum power, V m is the voltage measurement value.

7. The method for adaptively adjusting parameters of an energy storage converter according to claim 6, characterized in that: The real-time acquisition of the output active power P of the energy storage converter is based on the output active power P and the theoretical maximum power P max The energy storage converter parameters are adjusted based on the comparison relationship, including: When the output active power P of the energy storage converter is greater than 0.5, the virtual inertia time constant T is adjusted according to the following formula: j and the damping coefficient D p : Among them, T j0 is the initial virtual inertia time constant.

8. An energy storage converter parameter adaptive adjustment system, characterized in that: The system comprises: an analytical expression determination unit, a maximum power determination unit and an adjustment unit; The analytical expression determination unit is used to construct an equivalent circuit of the energy storage converter and determine an analytical expression of electrical parameters of the energy storage converter; The maximum power determination unit is used to process the electrical parameter analytical expression of the energy storage converter according to the Lyapunov stability criterion to determine the theoretical maximum power P max ; The adjustment unit is used to collect the output active power P of the energy storage converter in real time, and adjust the output active power P according to the output active power P and the theoretical maximum power P max The energy storage converter parameters are adjusted based on the comparison relationship.

9. A readable storage medium storing a computer program, wherein when the computer program is executed by a processor, the processor is caused to execute the steps of the method according to any one of claims 1 to 7.

10. A computer device comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the method according to any one of claims 1 to 7.

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