Network-oriented fault network construction control parameter demand quantification method for network construction type energy storage converter

Abstract

This invention discloses a method for quantifying the control parameter requirements of grid-connected energy storage converters for fault-tolerant grid connection, belonging to the field of new energy power generation and grid connection control technology. This method addresses the design phase of a single grid-connected energy storage converter, solving the problem of how to derive the minimum control parameter requirements from the desired fault-tolerant grid connection capability target. The method includes: determining the short-circuit ratio range of the target grid connection, the desired voltage sag depth, and the fault duration as design inputs; establishing a four-dimensional coupled model including power angle synchronous stability constraints, fault current boundary constraints, system damping coordination constraints, and grid specification response time constraints, with each constraint equation using the grid short-circuit ratio and voltage sag depth as input parameters and control parameters as solution variables; simultaneously solving the four sets of constraints to form a constraint satisfaction problem, obtaining the feasible region of control parameters; and extracting the lower or upper bound of each parameter from the feasible region to output a minimum requirement list.

Description

Technical Field

[0001] This invention relates to the field of new energy power generation and grid connection control technology, and in particular to a method for quantifying the control parameter requirements of grid-connected energy storage converters for fault-based grid connection. Background Technology

[0002] With the high proportion of new energy sources integrated into the new power system, grid-connected energy storage converters have become a core technology for improving the stability of weak power grids due to their autonomous voltage and frequency establishment capabilities and voltage source characteristics. Grid-connected converters employ strategies such as virtual synchronous generator control or power synchronization control. By simulating the rotor motion equations and excitation regulation characteristics of synchronous generators, they operate in voltage source mode, providing inertia support, primary frequency regulation, and dynamic reactive power compensation for weak power grids. When a short-circuit fault or voltage drop occurs in the power grid, the grid-connected converter must maintain voltage and frequency support for the grid while ensuring the safety of power devices. This fault-tolerant grid-connection capability directly depends on the rational design of control parameters, including virtual inertia, virtual damping coefficient, reactive power and voltage droop coefficients, software current limiting thresholds, bandwidth of each control loop, and virtual impedance.

[0003] Currently, the design of control parameters for grid-connected converters in engineering projects mainly relies on three approaches. The empirical tuning method, which involves analogy with typical synchronous generator parameters or repeated trial and error in simulations, lacks a systematic quantitative consideration of fault conditions and cannot answer quantitative questions such as how much virtual inertia is needed to prevent instability under deep voltage drops in the current grid environment. The single-index optimization method uses a single performance index as the objective function to optimize parameters, ignoring the coupling and contradictions between multiple performance requirements such as power angle synchronous stability, damping characteristics, and response time. The standard compliance verification method tests the converter item by item according to grid connection standards to determine if it meets the standards; this is a post-design verification rather than a pre-design approach. A common drawback of these three approaches is the lack of a systematic method for deriving the minimum control parameter requirements from the desired fault-tolerant grid-connected capability objective.

[0004] Existing patents on constructing feasible domains only address two parameters—virtual inertia and damping coefficient—under normal microgrid operation scenarios. Their constraints are frequency stability and dynamic performance constraints, but they do not address the specific constraints of fault conditions, such as power angle synchronization stability boundaries, fault current limiting boundaries, grid strength parameterization constraints, and grid specification response time constraints. Furthermore, there is a strong coupling relationship between the four types of constraints—power angle stability, fault current, damping characteristics, and response speed—of grid-connected converters under fault conditions: virtual inertia simultaneously affects power angle stability margin, transient overcurrent amplitude, system damping ratio, and power synchronization loop response bandwidth requirements. Currently, there is a lack of methods to incorporate these four types of constraints into a unified simultaneous solution framework. Summary of the Invention

[0005] This invention aims to address the shortcomings of existing technologies in the design of control parameters for grid-type converters. These shortcomings include a lack of a systematic method for deriving control requirements from the perspective of fault-based grid construction, and a lack of a quantitative model that unifies and solves four types of constraints: power angle synchronization stability, fault current boundary, damping coordination, and standard response time. The invention provides a method and system for quantifying the control parameter requirements of grid-type energy storage converters designed for fault-based grid construction. The method described in this invention is specifically designed for quantifying the control parameter requirements of a single grid-type energy storage converter.

[0006] To achieve the above objectives, the technical solution adopted by this invention is to propose a method for quantifying the control parameter requirements of grid-type energy storage converters for fault-oriented grid construction, comprising the following steps: Determine the target design inputs, which include the target short-circuit ratio range of the grid to be connected, the expected voltage drop depth to withstand, and the expected fault duration to withstand. A multi-constraint coupling model is established between grid strength, fault severity and control parameters. The multi-constraint coupling model includes four sets of constraint equations: power angle synchronous stability constraint, fault current boundary constraint, system damping coordination constraint and grid standard response time constraint. Each constraint equation takes the grid short-circuit ratio and voltage drop depth as input parameters and the control parameters as solution variables. The four sets of constraint equations are combined to form a constraint satisfaction problem. The feasible region of the control parameters is obtained by using the target short-circuit ratio range and the expected voltage drop depth as boundary conditions. Extract the infimum or supremum of each control parameter from the feasible region and output a list of minimum control parameter requirements.

[0007] Furthermore, the method for quantifying the control parameter requirements of the grid-type energy storage converter is applied to a single grid-type energy storage converter; the control parameters include virtual inertia, virtual damping coefficient, reactive power and voltage droop coefficient, software current limiting threshold, power synchronization loop bandwidth, voltage outer loop bandwidth, current inner loop bandwidth, positive sequence virtual resistance, positive sequence virtual inductance, negative sequence virtual resistance, negative sequence virtual inductance, upper bound of fault detection time, upper bound of reactive current injection response time, and active power recovery rate.

[0008] Furthermore, starting from the dynamic equation of the power angle of the virtual synchronous generator, the power angle synchronization stability constraint condition is:

[0009] in, This represents the residual voltage amplitude of the power grid. The current amplitude, For grid impedance, The power grid impedance angle. The power factor angle.

[0010] Furthermore, the fault current boundary constraints are established as follows:

[0011] Among them, the peak fault current generated by the grid-type converter during the voltage dip is The internal potential amplitude is E, and the grid connection point voltage is The equivalent impedance modulus from the converter to the grid connection point is The equivalent impedance is The line impedance is Virtual impedance is The filter impedance is ; Correction of internal potential along the d-axis and q-axis after introducing virtual impedance and Calculated by the following formula:

[0012] Wherein, the virtual resistance is The d-axis current is angular frequency is Virtual inductance is The q-axis current is .

[0013] Furthermore, the system damping coordination constraints are established as follows:

[0014] in, For the system damping ratio, For synchronization power factor, Let be the steady-state work angle, D be the virtual damping coefficient, and J be the virtual inertia.

[0015] Furthermore, the power grid specification response time constraint is established as follows: The sum of fault detection time, power synchronization loop response time, and current inner loop response time shall not exceed the upper limit of reactive current injection response time specified in the power grid standard. The response time of the power synchronization loop is taken as three to five times the reciprocal of the power synchronization loop bandwidth, and the response time of the current inner loop is taken as three to five times the reciprocal of the current inner loop bandwidth. The power synchronization loop bandwidth, voltage outer loop bandwidth, and current inner loop bandwidth satisfy a cascaded decoupling relationship. The voltage outer loop bandwidth is taken as one-fifth to one-tenth of the current inner loop bandwidth, and the power synchronization loop bandwidth is taken as one-fifth to one-tenth of the voltage outer loop bandwidth.

[0016] Furthermore, the feasible domain of control parameters is obtained using the parameter space grid scanning method or the inverse solution method of constraint boundaries.

[0017] Furthermore, extracting the infimum or supremum of each control parameter includes: For virtual inertia, virtual damping coefficient, reactive power and voltage droop coefficient, bandwidth of each control loop, virtual resistance, virtual inductance and active power recovery rate, the lower bound of the parameters is extracted from the feasible region as the minimum requirement. For software current limiting threshold, fault detection time, and reactive power response time, the upper bound of the parameters is extracted from the feasible region as the minimum requirement. The output list of minimum requirements for control parameters includes the name, symbol, requirement type, and minimum required value under the target design input conditions for each parameter.

[0018] The present invention also proposes a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the above-mentioned method for quantifying the control parameter requirements of a grid-type energy storage converter for fault-oriented grid construction.

[0019] The present invention also proposes a storage medium storing a computer program that, when executed by a processor, implements the above-described method for quantifying the control parameter requirements of a grid-type energy storage converter for fault-oriented grid construction.

[0020] The beneficial effects of this invention are as follows: By establishing a systematic method for quantifying the minimum requirements of control parameters from the desired fault-tolerant network capability target, designers only need to input the target grid short-circuit ratio range and the desired fault tolerance capability to obtain the minimum requirement range of all control parameters. This upgrades the design of grid-connected converter control parameters from qualitative trial-and-error based on personal experience to quantitative derivation based on a multi-constraint coupled model. By establishing a four-dimensional coupled constraint model of power angle synchronous stability, fault current boundary, damping coordination, and grid specification response time and solving it simultaneously, the quantitative constraint relationship between virtual inertia, virtual damping coefficient, current limiting threshold, virtual impedance, and bandwidth of each control loop is revealed through the grid short-circuit ratio and voltage drop depth coupling. The feasible range of virtual inertia is squeezed by the lower limit of the power angle stability constraint and the upper limit of the fault current boundary constraint. The output form is the minimum requirement range of each control parameter rather than a single-point optimal value, giving designers the freedom to flexibly select specific parameters within the feasible range according to engineering realities. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. The drawings described below are only some embodiments recorded in the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1 This is a flowchart illustrating the overall process of the method of the present invention. Figure 2 This is a schematic diagram of the synchronous stability constraint for the power angle. Figure 3 This is a schematic diagram of the fault current boundary constraints. Figure 4 This is a schematic diagram of the system's damping coordination constraints. Figure 5 Timing allocation diagram for response time constraints; Figure 6 The flowchart shows the process of solving for the constraints. Detailed Implementation

[0023] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Example 1

[0024] like Figure 1 The diagram shown is the overall flowchart of the method of the present invention. A method for quantifying the control parameter requirements of a grid-type energy storage converter for fault-oriented grid construction includes the following steps: Determine the target design inputs, which include the target short-circuit ratio range of the grid to be connected, the expected voltage drop depth to withstand, and the expected fault duration to withstand. A multi-constraint coupled model is established between power grid strength, fault severity and control parameters, including four sets of constraint equations: power angle synchronous stability constraint, fault current boundary constraint, system damping coordination constraint and power grid standard response time constraint. The four sets of constraint equations are combined to form a constraint satisfaction problem. The feasible region of the control parameters is obtained by using the target short-circuit ratio range and the expected voltage drop depth as boundary conditions. Extract the infimum or supremum of each control parameter from the feasible region and output a list of minimum control parameter requirements.

[0025] This embodiment takes a grid-type energy storage converter with a rated power of 500kW, a rated voltage of 380V, and a DC bus voltage of 750V as the object. The converter adopts a virtual synchronous generator control strategy, the filter adopts an LCL structure, and the switching frequency is 10kHz.

[0026] In the target design input step, the target grid short-circuit ratio is set between 1.5 and 3.0, covering typical grid connection conditions from extremely weak to medium-strength grids. The short-circuit ratio is defined as follows: , The grid impedance pu is based on the rated capacity of the converter. The target value of the expected withstand voltage drop depth is 0.2pu, which corresponds to the deep voltage drop condition. The expected withstand fault duration is 625ms, which corresponds to the longest withstand time of 0.2pu voltage drop specified in the national standard. The fault types include three-phase symmetrical short circuit and single-phase grounding asymmetrical fault.

[0027] In the multi-constraint coupled modeling step, four sets of constraint equations are established based on a grid short-circuit ratio of 2.0 as the baseline operating condition. Regarding the power angle synchronous stability constraint, such as... Figure 2 The diagram illustrates the synchronous stability constraints of the power angle. With the grid short-circuit ratio on the horizontal axis and the grid residual voltage on the vertical axis, boundary curves for the equilibrium point under different current-limiting thresholds are plotted. Under the condition of voltage drop to 0.2 pu, the current-limiting threshold, derived from the dynamic equation of the virtual synchronous generator's power angle, must not exceed 1.58 pu. When the grid short-circuit ratio decreases to 1.5, this upper limit further shrinks to 1.35 pu, reflecting the more stringent constraints imposed by weak grids on the current-limiting threshold.

[0028] Regarding fault current boundary constraints, such as Figure 3 The diagram shows the boundary constraints for the fault current. With the virtual impedance magnitude on the horizontal axis and the peak fault current on the vertical axis, current-impedance relationship curves are plotted for different voltage drop depths. Under the condition of a voltage drop to 0.2 pu, the peak fault current can reach 8.0 pu without virtual impedance. To limit the current to within 1.5 pu, the virtual impedance magnitude must be no less than 0.433 pu. When the virtual impedance resistance-to-inductance ratio is 1, the virtual resistance and virtual inductance must each be no less than 0.31 pu.

[0029] Regarding system damping coordination constraints, such as Figure 4 The diagram shows the system damping coordination constraints. With virtual inertia on the horizontal axis and virtual damping coefficient on the vertical axis, boundary curves for the lower and upper limits of the damping ratio and feasible value regions under different short-circuit ratios are plotted. The synchronous power coefficient is approximately 0.35 pu, and the damping ratio must be maintained between 0.3 and 0.7. Therefore, the ratio of the virtual damping coefficient to the square root of the virtual inertia must be between 0.355 and 0.828. When the virtual inertia is 3s, the feasible range for the virtual damping coefficient is 0.62 to 1.43; when the virtual inertia increases to 6s, the feasible range shifts to 0.87 to 2.03.

[0030] Regarding response time constraints, such as Figure 5The diagram shows the timing allocation for response time constraints, marking the timing nodes for fault occurrence, fault detection, and reactive power response, as well as the response time allocation relationships for each control loop. The total reactive power response time does not exceed 60ms, fault detection does not exceed 2ms, and the remaining 58ms is allocated to the power synchronization loop and the inner current loop. When the power synchronization loop response time is set to 25ms and the inner current loop response time to 3ms, the power synchronization loop bandwidth is not less than 200rad / s. This indicates that under fault conditions, the power synchronization loop bandwidth needs to be temporarily increased from the normal operating range of 5-20Hz to above 32Hz.

[0031] In the constraint satisfaction solution steps, such as Figure 6 The diagram shows the constraint satisfaction solution process, illustrating the solution procedure using the parameter space grid scanning method. The parameter space is discretized with appropriate step sizes. The constraints are defined as follows: virtual inertia (0.5–10 s), virtual damping coefficient (5–80 p.u.), current limiting threshold (1.0–2.0 p.u.), virtual resistance (0–1.0 p.u.), virtual inductance (0–1.0 p.u.), power synchronization loop bandwidth (31.4–314 rad / s), current inner loop bandwidth (3140–31400 rad / s), and voltage outer loop bandwidth (314–3140 rad / s). The satisfaction of the four sets of constraints is examined for three conditions: grid short-circuit ratios of 1.5, 2.0, and 3.0. The intersection of parameter combinations that satisfy the constraints under all three short-circuit ratio conditions constitutes the feasible region for the entire operating condition.

[0032] In the requirement extraction and output step, the boundary values ​​of each parameter are extracted from the feasible domain, and the minimum requirement list of control parameters is output as shown in Table 1.

[0033] Table 1

[0034] In Table 1, the input condition is: grid short-circuit ratio. Voltage sag depth: Fault duration: .

[0035] The feasible range for the virtual inertia equivalent time constant is 3.0 to 6.0 s, which is derived by the squeeze between the lower limit of the power angle stability constraint and the upper limit of the fault current boundary constraint. The virtual damping coefficient should be no less than 20 p.u. The reactive power and voltage droop coefficients should be no less than 0.08 p.u. The software current limiting threshold should be between 1.2 and 1.5 p.u. The power synchronization loop bandwidth should be no less than 200 rad / s, and temporarily boosted to above 32 Hz during a fault. The inner current loop bandwidth should be no less than 6280 rad / s, and the outer voltage loop bandwidth should be no less than 628 rad / s. The positive-sequence virtual resistance should be no less than 0.31 p.u., and the positive-sequence virtual inductance should be no less than 0.31 p.u. The fault detection time should not exceed 2 ms, the reactive power response time should not exceed 60 ms, and the active power recovery rate should be no less than [missing value]. .

[0036] This embodiment transforms the design of fault network control parameters for grid-connected converters from empirical trial-and-error to on-demand quantification through the above steps: designers only need to input the target grid short-circuit ratio range and the expected fault tolerance capability to obtain the minimum required value range of each control parameter. Example 2

[0037] This embodiment illustrates the implementation process of the inverse solution method for constraint boundaries. Unlike Embodiment 1, which searches for the feasible region in the full parameter space, this embodiment employs the following... Figure 6 The solution process of the parameter space grid scanning method shown in the figure determines the critical value of each key control parameter.

[0038] Taking the feasible range of virtual inertia as an example: With a fixed virtual damping coefficient of 25 p.u., reactive power and voltage droop coefficients of 0.1 pu, current limiting threshold of 1.5 pu, virtual resistance of 0.31 pu, and virtual inductance of 0.31 pu, under the conditions of a grid short-circuit ratio of 2.0 and a voltage drop to 0.2 pu, the virtual inertia is increased in 0.1-second increments starting from the physical lower bound of 0.5 s. When the virtual inertia is less than 3.0 seconds, refer to... Figure 2 The indicated power angle synchronous stability constraint boundary causes the system to lose its equilibrium point, and the lower limit of the recorded virtual inertia is 3.0 seconds; when the virtual inertia exceeds 6.0 seconds, refer to... Figure 3 The fault current boundary constraint shown indicates that the transient overcurrent peak exceeds the 1.5 per-unit current limiting threshold, and the upper limit of the recorded virtual inertia is 6.0s. The feasible range of virtual inertia is 3.0 to 6.0s.

[0039] Taking the feasible range of the software current limiting threshold as an example: With a fixed virtual inertia of 4.0s and a virtual damping coefficient of 25p.u., under the most stringent weak grid condition of a grid short-circuit ratio of 1.5 and a voltage drop to 0.2pu, the current limiting threshold is increased in increments of 0.05pu, starting from 1.0pu. When the current limiting threshold is less than 1.2pu, the response time constraint is not met, and the lower limit is recorded as 1.2pu; when the current limiting threshold is greater than 1.58pu, corresponding to a short-circuit ratio of 1.5, refer to... Figure 2 The power angle synchronous stability constraint boundary shown indicates that the equilibrium point is lost, and the upper limit is set at 1.5 pu. The feasible range for the current limiting threshold is 1.2 to 1.5 pu.

[0040] Taking the minimum requirement for virtual resistance as an example: with a fixed current limiting threshold of 1.5 pu and a voltage drop to 0.2 pu, the virtual resistance is analytically solved using the fault current boundary constraint equation under the typical condition of an inductance-to-resistance ratio of 1, yielding a value of no less than 0.31 pu. This value is inversely proportional to the current limiting threshold: if the current limiting threshold is increased to 1.8 pu, the virtual resistance requirement can be reduced to 0.22 pu.

[0041] This embodiment achieves three substantial technical effects through a complete technical solution encompassing target design input, multi-constraint coupled modeling, constraint satisfaction solution, and demand extraction output. First, designers only need to input the short-circuit ratio range and expected fault tolerance of the target power grid to obtain the minimum required value range for all control parameters, upgrading the design of grid-connected converter control parameters from qualitative trial-and-error based on personal experience to quantitative derivation based on a multi-constraint coupled model. Second, the simultaneous solution of four types of constraints reveals the quantitative constraints between control parameters through deep coupling between the power grid short-circuit ratio and voltage sag, providing clear physical boundaries for parameter collaborative design. Third, the output demand list provides interval solutions rather than single-point optimal values, giving designers the freedom to flexibly select parameters within feasible ranges based on engineering realities.

[0042] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

[0043] The above embodiments are merely illustrative examples and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations. However, obvious variations or modifications derived therefrom are still within the scope of protection of this invention.

Claims

1. A method for quantifying the control parameter requirements of grid-connected energy storage converters for fault-tolerant grid-connected systems, characterized in that, Includes the following steps: Determine the target design inputs, which include the target short-circuit ratio range of the grid to be connected, the expected voltage drop depth to withstand, and the expected fault duration to withstand. A multi-constraint coupling model is established between grid strength, fault severity and control parameters. The multi-constraint coupling model includes four sets of constraint equations: power angle synchronous stability constraint, fault current boundary constraint, system damping coordination constraint and grid standard response time constraint. Each constraint equation takes the grid short-circuit ratio and voltage drop depth as input parameters and the control parameters as solution variables. The four sets of constraint equations are combined to form a constraint satisfaction problem. The feasible region of the control parameters is obtained by using the target short-circuit ratio range and the expected voltage drop depth as boundary conditions. Extract the infimum or supremum of each control parameter from the feasible region and output a list of minimum control parameter requirements.

2. The method for quantifying control parameter requirements of grid-type energy storage converters for fault-oriented grid construction according to claim 1, characterized in that, The method for quantifying the control parameter requirements of the grid-type energy storage converter is applied to a single grid-type energy storage converter. The control parameters include virtual inertia, virtual damping coefficient, reactive power and voltage droop coefficient, software current limiting threshold, power synchronization loop bandwidth, voltage outer loop bandwidth, current inner loop bandwidth, positive sequence virtual resistance, positive sequence virtual inductance, negative sequence virtual resistance, negative sequence virtual inductance, upper bound of fault detection time, upper bound of reactive current injection response time, and active power recovery rate.

3. The method for quantifying control parameter requirements of grid-type energy storage converters for fault-oriented grid construction according to claim 1, characterized in that, Starting from the dynamic equation of the power angle of the virtual synchronous generator, the power angle synchronization stability constraint is as follows: in, This represents the residual voltage amplitude of the power grid. The current amplitude, For grid impedance, The power grid impedance angle. The power factor angle.

4. The method for quantifying control parameter requirements of grid-type energy storage converters for fault-oriented grid construction according to claim 1, characterized in that, The fault current boundary constraints are established in the following manner: Among them, the peak fault current generated by the grid-type converter during the voltage dip is The internal potential amplitude is E, and the grid connection point voltage is The equivalent impedance modulus from the converter to the grid connection point is The equivalent impedance is The line impedance is Virtual impedance is The filter impedance is ; Correction of internal potential along the d-axis and q-axis after introducing virtual impedance and Calculated by the following formula: Wherein, the virtual resistance is The d-axis current is angular frequency is Virtual inductance is The q-axis current is .

5. The method for quantifying control parameter requirements of grid-type energy storage converters for fault-oriented grid construction according to claim 4, characterized in that, The system damping coordination constraints are established in the following manner: in, For the system damping ratio, For synchronization power factor, Let be the steady-state work angle, D be the virtual damping coefficient, and J be the virtual inertia.

6. The method for quantifying control parameter requirements of grid-type energy storage converters for fault-oriented grid construction according to claim 1, characterized in that, The power grid specification response time constraint is established in the following manner: The sum of fault detection time, power synchronization loop response time, and current inner loop response time shall not exceed the upper limit of reactive current injection response time specified in the power grid standard. The response time of the power synchronization loop is taken as three to five times the reciprocal of the power synchronization loop bandwidth, and the response time of the current inner loop is taken as three to five times the reciprocal of the current inner loop bandwidth. The power synchronization loop bandwidth, voltage outer loop bandwidth, and current inner loop bandwidth satisfy a cascaded decoupling relationship. The voltage outer loop bandwidth is taken as one-fifth to one-tenth of the current inner loop bandwidth, and the power synchronization loop bandwidth is taken as one-fifth to one-tenth of the voltage outer loop bandwidth.

7. The method for quantifying control parameter requirements of grid-type energy storage converters for fault-oriented grid construction according to claim 1, characterized in that, The feasible region of control parameters can be obtained by parametric space grid scanning or inverse solution of constraint boundaries.

8. The method for quantifying control parameter requirements of grid-type energy storage converters for fault-oriented grid construction according to claim 1, characterized in that, Extracting the lower or upper bound of each control parameter includes: For virtual inertia, virtual damping coefficient, reactive power and voltage droop coefficient, bandwidth of each control loop, virtual resistance, virtual inductance and active power recovery rate, the lower bound of the parameters is extracted from the feasible region as the minimum requirement. For software current limiting threshold, fault detection time, and reactive power response time, the upper bound of the parameters is extracted from the feasible region as the minimum requirement. The output list of minimum requirements for control parameters includes the name, symbol, requirement type, and minimum required value under the target design input conditions for each parameter.

9. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method for quantifying the control parameter requirements of a grid-type energy storage converter oriented towards fault-based grid construction as described in any one of claims 1-8.

10. A storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the method for quantifying the control parameter requirements of a grid-type energy storage converter for fault-oriented grid construction as described in any one of claims 1-8.

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