Method and device for identifying inertia and damping parameters of net-forming type energy storage converter

Abstract

The invention relates to the technical field of new energy grid-connected control, and particularly provides a method and a device for identifying inertia and damping parameters of a network construction type energy storage converter, and the method comprises the steps: collecting the actual output power variation of the network construction type energy storage converter; the inertia and damping parameters of the net-building type energy storage converter are used as design variables, the actual output power variation of the net-building type energy storage converter is substituted into a pre-built target model and solved, and an inertia and damping parameter identification result of the net-building type energy storage converter is obtained; wherein the pre-constructed target model is a target function taking the minimum difference between the actual output power variable quantity of the network construction type energy storage converter and the theoretical output power variable quantity of the network construction type energy storage converter as a target. According to the technical scheme provided by the invention, the problem that inertia and damping control parameters cannot be accurately and synchronously identified by a current test method can be solved.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy grid-connected control, and in particular to a method and device for identifying inertia and damping parameters of a grid-connected energy storage converter. Background Art

[0002] With the access of a high proportion of renewable energy and the application of a high proportion of power electronic equipment in the power system, the broadband coupling of the power grid has been strengthened, and the power grid spectrum information has exceeded the grid-following phase-locked bandwidth. These problems have led to multiple risks for grid-following inverters, such as control instability and wide-band oscillation. Grid-connected energy storage, by simulating the inertia and damping control of synchronous generators, is regarded as a feasible solution to improve the strength of weak power grids and support the access of a high proportion of new energy.

[0003] According to the requirements of DL / T 2246.7-2021 "Technical Specifications for Grid-connected Operation and Control of Electrochemical Energy Storage Power Stations Part 7: Inertia Support and Damping Control", the current grid-connected energy storage power station has different dead zone ranges for inertia and damping. This difference can be used in combination with its response characteristics to set different test signals for sub-item testing and identify control parameters step by step. However, for grid-connected energy storage power stations, this method causes the inertia and damping control to respond synchronously, so the existing parameter identification method is no longer applicable. Summary of the invention

[0004] In order to overcome the above-mentioned defects, the present invention proposes a method and device for identifying inertia and damping parameters of a grid-type energy storage converter.

[0005] In a first aspect, a method for identifying inertia and damping parameters of a grid-type energy storage converter is provided, and the method for identifying inertia and damping parameters of a grid-type energy storage converter comprises:

[0006] Collect the actual output power change of the grid-type energy storage converter;

[0007] Taking the inertia and damping parameters of the grid-type energy storage converter as design variables, the actual output power change of the grid-type energy storage converter is substituted into the pre-built target model and solved to obtain the identification results of the inertia and damping parameters of the grid-type energy storage converter.

[0008] The pre-constructed target model is an objective function that takes minimizing the difference between the actual output power change of the grid-type energy storage converter and the theoretical output power change of the grid-type energy storage converter as its goal.

[0009] Preferably, the inertia and damping parameters of the grid-type energy storage converter include: inertia control parameters, damping control parameters and reactance damping control parameters.

[0010] Preferably, the pre-built target model is:

[0011]

[0012] In the above formula, E is the difference between the actual output power change of the grid-type energy storage converter and the theoretical output power change of the grid-type energy storage converter, △P e is the theoretical output power change of the grid-type energy storage converter, is the actual output power change of the grid-type energy storage converter.

[0013] Preferably, the theoretical output power variation of the grid-type energy storage converter is obtained by calculation based on the design variables.

[0014] Furthermore, the calculation formula for the theoretical output power change of the grid-type energy storage converter is as follows:

[0015]

[0016] In the above formula, A1 is the amplitude of sin(ωt+φ1) in the above formula, ω is the frequency of the grid-side frequency oscillation of the converter, t is the current time, φ1 is the phase of sin(ωt+φ1) in the above formula, and A2 is The amplitude of , e is a natural constant, ξ is the oscillation damping of the small signal frequency domain model of the grid-type energy storage converter, ω n is the natural angular frequency of the small signal frequency domain model of the grid-type energy storage converter, φ2 is phase.

[0017] Furthermore, the oscillation damping and natural angular frequency of the small signal frequency domain model of the grid-type energy storage converter are as follows:

[0018]

[0019] In the above formula, J, D, K p are respectively the inertia control parameter, damping control parameter and reactance damping control parameter in the design variables, and ω0 is the standard value of the converter frequency.

[0020] Furthermore, the phase and The phase is as follows:

[0021]

[0022] Furthermore, the small signal frequency domain model of the grid-type energy storage converter is as follows:

[0023]

[0024] In the above formula, △P e (s) is the small signal frequency domain value of the grid-type energy storage converter, s is the complex frequency, △Peref is the reference value change of the converter output active power, △θ g is the phase change of the converter grid side.

[0025] Furthermore, the frequency domain expression corresponding to the phase change amount of the converter grid side is as follows:

[0026]

[0027] In the above formula, △θ g (s) is the frequency domain value corresponding to the phase change on the grid side of the converter, and A is the amplitude of the frequency oscillation on the grid side of the converter.

[0028] In a second aspect, a network-type energy storage converter inertia and damping parameter identification device is provided, and the network-type energy storage converter inertia and damping parameter identification device comprises:

[0029] A collection module is used to collect actual output power changes of the grid-type energy storage converter;

[0030] An acquisition module is used to use the inertia and damping parameters of the grid-type energy storage converter as design variables, substitute the actual output power change of the grid-type energy storage converter into a pre-built target model and solve it, so as to obtain the identification results of the inertia and damping parameters of the grid-type energy storage converter;

[0031] The pre-constructed target model is an objective function that takes minimizing the difference between the actual output power change of the grid-type energy storage converter and the theoretical output power change of the grid-type energy storage converter as its goal.

[0032] Preferably, the inertia and damping parameters of the grid-type energy storage converter include: inertia control parameters, damping control parameters and reactance damping control parameters.

[0033] Preferably, the pre-built target model is:

[0034]

[0035] In the above formula, E is the difference between the actual output power change of the grid-type energy storage converter and the theoretical output power change of the grid-type energy storage converter, △P e is the theoretical output power change of the grid-type energy storage converter, is the actual output power change of the grid-type energy storage converter.

[0036] Preferably, the theoretical output power variation of the grid-type energy storage converter is obtained by calculation based on the design variables.

[0037] Furthermore, the calculation formula for the theoretical output power change of the grid-type energy storage converter is as follows:

[0038]

[0039] In the above formula, A1 is the amplitude of sin(ωt+φ1) in the above formula, ω is the frequency of the grid-side frequency oscillation of the converter, t is the current time, φ1 is the phase of sin(ωt+φ1) in the above formula, and A2 is The amplitude of , e is a natural constant, ξ is the oscillation damping of the small signal frequency domain model of the grid-type energy storage converter, ω n is the natural angular frequency of the small signal frequency domain model of the grid-type energy storage converter, φ2 is phase.

[0040] Furthermore, the oscillation damping and natural angular frequency of the small signal frequency domain model of the grid-type energy storage converter are as follows:

[0041]

[0042] In the above formula, J, D, K p are respectively the inertia control parameter, damping control parameter and reactance damping control parameter in the design variables, and ω0 is the standard value of the converter frequency.

[0043] Furthermore, the phase and The phase is as follows:

[0044]

[0045] Furthermore, the small signal frequency domain model of the grid-type energy storage converter is as follows:

[0046]

[0047] In the above formula, △P e (s) is the small signal frequency domain value of the grid-type energy storage converter, s is the complex frequency, △P eref is the reference value change of the converter output active power, △θ g is the phase change of the converter grid side.

[0048] Furthermore, the frequency domain expression corresponding to the phase change amount of the converter grid side is as follows:

[0049]

[0050] In the above formula, △θ g (s) is the frequency domain value corresponding to the phase change on the grid side of the converter, and A is the amplitude of the frequency oscillation on the grid side of the converter.

[0051] In a third aspect, a computer device is provided, comprising: one or more processors;

[0052] The processor is used to store one or more programs;

[0053] When the one or more programs are executed by the one or more processors, the inertia and damping parameter identification method of the grid-type energy storage converter is implemented.

[0054] In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed, the inertia and damping parameter identification method of the grid-type energy storage converter is implemented.

[0055] The above one or more technical solutions of the present invention have at least one or more of the following beneficial effects:

[0056] The present invention provides a method and device for identifying inertia and damping parameters of a grid-type energy storage inverter, including: collecting the actual output power change of the grid-type energy storage inverter; taking the inertia and damping parameters of the grid-type energy storage inverter as design variables, substituting the actual output power change of the grid-type energy storage inverter into a pre-constructed target model and solving it to obtain the identification result of the inertia and damping parameters of the grid-type energy storage inverter; wherein the pre-constructed target model is an objective function with the goal of minimizing the difference between the actual output power change of the grid-type energy storage inverter and the theoretical output power change of the grid-type energy storage inverter. The technical solution provided by the present invention is based on the established universal grid-type inverter inertia and damping synchronous identification objective function, and the output power ΔP collected during the oscillation of the input inverter is used. e , the oscillation frequency ω of the output frequency can identify the inertia J, damping D and reactance damping K p , which can solve the problem that the current testing method cannot accurately and synchronously identify inertia and damping control parameters. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 It is a schematic flow chart of the main steps of the method for identifying inertia and damping parameters of a grid-type energy storage converter according to an embodiment of the present invention;

[0058] Figure 2 is a block diagram of inertia and damping control of a grid-type energy storage converter according to an embodiment of the present invention;

[0059] Figure 3 This is a topological structure diagram of a grid-type energy storage power station test verification according to an embodiment of the present invention;

[0060] Figure 4 1 is a diagram of inertia and damping identification results of a grid-type energy storage converter according to an embodiment of the present invention;

[0061] Figure 5 It is a main structural block diagram of the inertia and damping parameter identification device of a grid-type energy storage converter according to an embodiment of the present invention. DETAILED DESCRIPTION

[0062] The specific implementation modes of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0063] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution 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 part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0064] As disclosed in the background technology, with the access of a high proportion of renewable energy and the application of a high proportion of power electronic equipment in the power system, the broadband coupling of the power grid is strengthened, and the power grid spectrum information exceeds the grid-following phase-locked bandwidth. These problems lead to the grid-following inverter having multiple risks such as control instability and wide-band oscillation. Grid-connected energy storage, by simulating the inertia and damping control of synchronous generators, is regarded as a feasible solution to improve the strength of weak power grids and support the access of a high proportion of new energy.

[0065] According to the requirements of DL / T 2246.7-2021 "Technical Specifications for Grid-connected Operation and Control of Electrochemical Energy Storage Power Stations Part 7: Inertia Support and Damping Control", the current grid-connected energy storage power station has different dead zone ranges for inertia and damping. This difference can be used in combination with its response characteristics to set different test signals for sub-item testing and identify control parameters step by step. However, for grid-connected energy storage power stations, this method causes the inertia and damping control to respond synchronously, so the existing parameter identification method is no longer applicable.

[0066] In order to improve the above-mentioned problems, the present invention provides a method and device for identifying the inertia and damping parameters of a grid-type energy storage converter, including: collecting the actual output power change of the grid-type energy storage converter; taking the inertia and damping parameters of the grid-type energy storage converter as design variables, substituting the actual output power change of the grid-type energy storage converter into a pre-constructed target model and solving it to obtain the identification result of the inertia and damping parameters of the grid-type energy storage converter; wherein the pre-constructed target model is an objective function with the goal of minimizing the difference between the actual output power change of the grid-type energy storage converter and the theoretical output power change of the grid-type energy storage converter. The technical solution provided by the present invention is based on the established universal grid-type converter inertia and damping synchronous identification objective function, and the output power ΔP collected during the oscillation of the input converter is input. e , the oscillation frequency ω of the output frequency can identify the inertia J, damping D and reactance damping K p , which can solve the problem that the current testing method cannot accurately and synchronously identify inertia and damping control parameters.

[0067] The above scheme is described in detail below.

[0068] Example 1

[0069] See attached Figure 1 , Figure 1 FIG. 1 is a flow chart of the main steps of a method for identifying inertia and damping parameters of a grid-type energy storage converter according to an embodiment of the present invention. Figure 1 As shown, the method for identifying inertia and damping parameters of a grid-type energy storage converter in an embodiment of the present invention mainly includes the following steps:

[0070] Step S101: collecting actual output power changes of the grid-type energy storage converter;

[0071] Step S101: Taking the inertia and damping parameters of the grid-type energy storage converter as design variables, substituting the actual output power variation of the grid-type energy storage converter into a pre-built target model and solving it to obtain the inertia and damping parameter identification results of the grid-type energy storage converter;

[0072] The pre-built target model is an objective function that aims to minimize the difference between the actual output power change of the grid-type energy storage converter and the theoretical output power change of the grid-type energy storage converter. The inertia and damping parameters of the grid-type energy storage converter include: inertia control parameters, damping control parameters and reactance damping control parameters.

[0073] In this embodiment, the pre-built target model is:

[0074]

[0075] In the above formula, E is the difference between the actual output power change of the grid-type energy storage converter and the theoretical output power change of the grid-type energy storage converter, △P e is the theoretical output power change of the grid-type energy storage converter, is the actual output power change of the grid-type energy storage converter.

[0076] In this embodiment, the pre-built target model can be solved by using the improved particle swarm algorithm based on the grey wolf.

[0077] The theoretical output power variation of the grid-type energy storage converter is obtained by calculation based on the design variables.

[0078] In one embodiment, the calculation formula for the theoretical output power change of the grid-type energy storage converter is as follows:

[0079]

[0080] In the above formula, A1 is the amplitude of sin(ωt+φ1) in the above formula, ω is the frequency of the grid-side frequency oscillation of the converter, t is the current time, φ1 is the phase of sin(ωt+φ1) in the above formula, and A2 is The amplitude of , e is a natural constant, ξ is the oscillation damping of the small signal frequency domain model of the grid-type energy storage converter, ω n is the natural angular frequency of the small signal frequency domain model of the grid-type energy storage converter, φ2 is The derivation process is as follows:

[0081] 1) According to the inertia and damping control block diagram of the grid-type energy storage converter, the small signal frequency domain model of the inertia and damping control of the grid-type energy storage converter is derived.

[0082] The control block diagram is as attached Figure 2 As shown in the figure, P eref , P e are the reference value and actual value of the converter output active power respectively; ω0 is the standard value of the converter frequency; J, D, K p are the control parameters of the inertia, damping and reactance damping of the converter respectively; θ g With Δθ g Indicates the grid-side phase and phase change value of the converter; s represents the complex frequency.

[0083] The small signal frequency domain model of the grid-type energy storage converter is as follows:

[0084]

[0085] In the above formula, △P e (s) is the small signal frequency domain value of the grid-type energy storage converter, s is the complex frequency, △P eref is the reference value change of the converter output active power, △θ g is the phase change of the converter grid side.

[0086] The oscillation damping and natural angular frequency of the small signal frequency domain model of the grid-type energy storage converter can be obtained as follows:

[0087]

[0088] In the above formula, J, D, K p are respectively the inertia control parameter, damping control parameter and reactance damping control parameter in the design variables, and ω0 is the standard value of the converter frequency.

[0089] 2) According to the characteristics of frequency disturbance, the time domain model of grid inertia and damping control during frequency disturbance is derived.

[0090] Considering that the role of damping in network control is to suppress frequency oscillation, and the role of inertia is to suppress the speed of frequency change, for this reason, a frequency sinusoidal disturbance signal Δω is often injected into the converter during field testing. g , time domain △ω g (t) and frequency domain △ω g (s) can be expressed as:

[0091]

[0092] The frequency domain expression corresponding to the phase change of the grid side of the converter can be further derived as follows:

[0093]

[0094] In the above formula, △θ g (s) is the frequency domain value corresponding to the phase change on the grid side of the converter, and A is the amplitude of the frequency oscillation on the grid side of the converter.

[0095] When the grid-side phase of the grid-type converter oscillates, the small signal frequency domain model of the grid-type energy storage converter is converted into:

[0096]

[0097] After Laplace inverse transform, the time domain model of grid-type inertia and damping control during frequency disturbance can be obtained:

[0098]

[0099] Among them, the phase and The phase is as follows:

[0100]

[0101] Considering that in the field test or online monitoring scenario, the output power of the converter collected may have two possibilities: the per-unit value and the nominal value. In order to make the established parameter identification objective function universal, the above formula is converted into:

[0102]

[0103] According to the steps of the present invention, based on Figure 3 The data of inertia and damping field test of the grid-type energy storage power station shown in the figure are used to identify the inertia and damping parameters in the grid-type control. Among them, the energy storage system capacity is 2MWh / 1MW, the energy storage converter PCS overload capacity is 3MVA, the test condition is 20% of the rated output condition; the amplitude of the injected sinusoidal test signal is 0.05Hz and the frequency is 0.4Hz.

[0104] Test results such as Figure 4 As shown, the identified output power waveform is well consistent with the original waveform, with a relative error of 1.6%.

[0105] Example 2

[0106] Based on the same inventive concept, the present invention also provides a device for identifying inertia and damping parameters of a grid-type energy storage converter, such as Figure 5 As shown, the inertia and damping parameter identification device of the grid-type energy storage converter includes:

[0107] A collection module is used to collect actual output power changes of the grid-type energy storage converter;

[0108] An acquisition module is used to use the inertia and damping parameters of the grid-type energy storage converter as design variables, substitute the actual output power change of the grid-type energy storage converter into a pre-built target model and solve it, so as to obtain the identification results of the inertia and damping parameters of the grid-type energy storage converter;

[0109] The pre-constructed target model is an objective function that takes minimizing the difference between the actual output power change of the grid-type energy storage converter and the theoretical output power change of the grid-type energy storage converter as its goal.

[0110] Preferably, the inertia and damping parameters of the grid-type energy storage converter include: inertia control parameters, damping control parameters and reactance damping control parameters.

[0111] Preferably, the pre-built target model is:

[0112]

[0113] In the above formula, E is the difference between the actual output power change of the grid-type energy storage converter and the theoretical output power change of the grid-type energy storage converter, △P e is the theoretical output power change of the grid-type energy storage converter, is the actual output power change of the grid-type energy storage converter.

[0114] Preferably, the theoretical output power variation of the grid-type energy storage converter is obtained by calculation based on the design variables.

[0115] Furthermore, the calculation formula for the theoretical output power change of the grid-type energy storage converter is as follows:

[0116]

[0117] In the above formula, A1 is the amplitude of sin(ωt+φ1) in the above formula, ω is the frequency of the grid-side frequency oscillation of the converter, t is the current time, φ1 is the phase of sin(ωt+φ1) in the above formula, and A2 is The amplitude of , e is a natural constant, ξ is the oscillation damping of the small signal frequency domain model of the grid-type energy storage converter, ω n is the natural angular frequency of the small signal frequency domain model of the grid-type energy storage converter, φ2 is phase.

[0118] Furthermore, the oscillation damping and natural angular frequency of the small signal frequency domain model of the grid-type energy storage converter are as follows:

[0119]

[0120] In the above formula, J, D, K p are respectively the inertia control parameter, damping control parameter and reactance damping control parameter in the design variables, and ω0 is the standard value of the converter frequency.

[0121] Furthermore, the phase and The phase is as follows:

[0122]

[0123] Furthermore, the small signal frequency domain model of the grid-type energy storage converter is as follows:

[0124]

[0125] In the above formula, △P e (s) is the small signal frequency domain value of the grid-type energy storage converter, s is the complex frequency, △P eref is the reference value change of the converter output active power, △θ g is the phase change of the converter grid side.

[0126] Furthermore, the frequency domain expression corresponding to the phase change amount of the converter grid side is as follows:

[0127]

[0128] In the above formula, △θ g (s) is the frequency domain value corresponding to the phase change on the grid side of the converter, and A is the amplitude of the frequency oscillation on the grid side of the converter.

[0129] Example 3

[0130] Based on the same inventive concept, the present invention also provides a computer device, which includes a processor and a memory, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, and is specifically suitable for loading and executing one or more instructions in the computer storage medium to implement the corresponding method flow or corresponding function, so as to implement the steps of the inertia and damping parameter identification method of a grid-type energy storage converter in the above embodiment.

[0131] Example 4

[0132] Based on the same inventive concept, the present invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device for storing programs and data. It can be understood that the computer-readable storage medium here can include both built-in storage media in a computer device and, of course, extended storage media supported by the computer device. The computer-readable storage medium provides a storage space that stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by a processor are also stored in the storage space, and these instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the steps of a method for identifying inertia and damping parameters of a grid-type energy storage converter in the above embodiment.

[0133] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0134] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0135] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0136] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0137] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for identifying inertia and damping parameters of a grid-type energy storage converter, characterized in that: The method comprises: Collect the actual output power change of the grid-type energy storage converter; Taking the inertia and damping parameters of the grid-type energy storage converter as design variables, the actual output power change of the grid-type energy storage converter is substituted into the pre-built target model and solved to obtain the identification results of the inertia and damping parameters of the grid-type energy storage converter. The pre-constructed target model is an objective function that takes minimizing the difference between the actual output power change of the grid-type energy storage converter and the theoretical output power change of the grid-type energy storage converter as its goal.

2. The method according to claim 1, characterized in that The inertia and damping parameters of the grid-type energy storage converter include: inertia control parameters, damping control parameters and reactance damping control parameters.

3. The method according to claim 1, characterized in that The pre-built target model is: In the above formula, E is the difference between the actual output power change of the grid-type energy storage converter and the theoretical output power change of the grid-type energy storage converter, △P e is the theoretical output power change of the grid-type energy storage converter, is the actual output power change of the grid-type energy storage converter.

4. The method according to claim 1, characterized in that The theoretical output power variation of the grid-type energy storage converter is obtained by calculation based on the design variables.

5. The method according to claim 4, characterized in that The calculation formula for the theoretical output power change of the grid-type energy storage converter is as follows: In the above formula, A1 is the amplitude of sin(ωt+φ1) in the above formula, ω is the frequency of the grid-side frequency oscillation of the converter, t is the current time, φ1 is the phase of sin(ωt+φ1) in the above formula, and A2 is The amplitude of , e is a natural constant, ξ is the oscillation damping of the small signal frequency domain model of the grid-type energy storage converter, ω n is the natural angular frequency of the small signal frequency domain model of the grid-type energy storage converter, φ2 is phase.

6. The method according to claim 5, characterized in that The oscillation damping and natural angular frequency of the small signal frequency domain model of the grid-type energy storage converter are as follows: In the above formula, J, D, K p are respectively the inertia control parameter, damping control parameter and reactance damping control parameter in the design variables, and ω0 is the standard value of the converter frequency.

7. The method according to claim 6, characterized in that The phase and The phase is as follows:

8. The method according to claim 7, characterized in that The small signal frequency domain model of the grid-type energy storage converter is as follows: In the above formula, △P e (s) is the small signal frequency domain value of the grid-type energy storage converter, s is the complex frequency, △P eref is the reference value change of the converter output active power, △θ g is the phase change of the converter grid side.

9. The method according to claim 8, characterized in that The frequency domain expression corresponding to the phase change of the converter grid side is as follows: In the above formula, △θ g (s) is the frequency domain value corresponding to the phase change on the grid side of the converter, and A is the amplitude of the frequency oscillation on the grid side of the converter.

10. A device for identifying inertia and damping parameters of a grid-type energy storage converter, characterized in that: The device comprises: A collection module is used to collect actual output power changes of the grid-type energy storage converter; An acquisition module is used to use the inertia and damping parameters of the grid-type energy storage converter as design variables, substitute the actual output power change of the grid-type energy storage converter into a pre-built target model and solve it, so as to obtain the identification results of the inertia and damping parameters of the grid-type energy storage converter; The pre-constructed target model is an objective function that takes minimizing the difference between the actual output power change of the grid-type energy storage converter and the theoretical output power change of the grid-type energy storage converter as its goal.

11. The device according to claim 10, characterized in that The inertia and damping parameters of the grid-type energy storage converter include: inertia control parameters, damping control parameters and reactance damping control parameters.

12. The device according to claim 10, characterized in that The pre-built target model is: In the above formula, E is the difference between the actual output power change of the grid-type energy storage converter and the theoretical output power change of the grid-type energy storage converter, △P e is the theoretical output power change of the grid-type energy storage converter, is the actual output power change of the grid-type energy storage converter.

13. The device according to claim 10, characterized in that The theoretical output power variation of the grid-type energy storage converter is obtained by calculation based on the design variables.

14. The device according to claim 13, characterized in that The calculation formula for the theoretical output power change of the grid-type energy storage converter is as follows: In the above formula, A1 is the amplitude of sin(ωt+φ1) in the above formula, ω is the frequency of the grid-side frequency oscillation of the converter, t is the current time, φ1 is the phase of sin(ωt+φ1) in the above formula, and A2 is The amplitude of , e is a natural constant, ξ is the oscillation damping of the small signal frequency domain model of the grid-type energy storage converter, ω n is the natural angular frequency of the small signal frequency domain model of the grid-type energy storage converter, φ2 is phase.

15. The device according to claim 14, characterized in that The oscillation damping and natural angular frequency of the small signal frequency domain model of the grid-type energy storage converter are as follows: In the above formula, J, D, K p are respectively the inertia control parameter, damping control parameter and reactance damping control parameter in the design variables, and ω0 is the standard value of the converter frequency.

16. The device according to claim 15, characterized in that The phase and The phase is as follows:

17. The device according to claim 16, characterized in that The small signal frequency domain model of the grid-type energy storage converter is as follows: In the above formula, △P e (s) is the small signal frequency domain value of the grid-type energy storage converter, s is the complex frequency, △P eref is the reference value change of the converter output active power, △θ g is the phase change of the converter grid side.

18. The device according to claim 17, characterized in that The frequency domain expression corresponding to the phase change of the converter grid side is as follows: In the above formula, △θ g (s) is the frequency domain value corresponding to the phase change on the grid side of the converter, and A is the amplitude of the frequency oscillation on the grid side of the converter.

19. A computer device, characterized in that: include: one or more processors; The processor is used to store one or more programs; When the one or more programs are executed by the one or more processors, the method for identifying inertia and damping parameters of a grid-type energy storage converter as described in any one of claims 1 to 9 is implemented.

20. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed, the method for identifying inertia and damping parameters of a grid-type energy storage converter as described in any one of claims 1 to 9 is implemented.

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