Inertia damping parameter tuning method and apparatus, and non-volatile storage medium
By determining the active power and frequency modulation power of the virtual synchronizer in the energy storage system, and optimizing the value range of inertia parameters and damping parameters, the problem of low tuning accuracy in the prior art is solved, and higher tuning accuracy and stability are achieved.
Patent Information
- Application Number
- PCT/CN2024/109699
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2023-12-13
- Filing Date
- 2024-08-05
- Publication Date
- 2025-06-19
AI Technical Summary
When setting the inertia damping parameters of energy storage systems, the influence of power and frequency is not fully considered, resulting in a low calibration accuracy.
By determining the target closed-loop transfer function between the active power and inertia parameters and damping parameters of the virtual synchronizer of the energy storage system, combining the change of the working angle frequency and the frequency modulation power, the value range of the inertia parameters and damping parameters is optimized to improve the setting accuracy.
By fully considering the impact of power and frequency on the setting process, the calibration accuracy of inertia damping parameters is significantly improved, and the stability of the energy storage system in the power grid frequency regulation service is enhanced.
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Figure CN2024109699_19062025_PF_FP_ABST
Abstract
Description
Method and device for adjusting inertia damping parameters, and non-volatile storage medium
[0001] This application claims priority to the Chinese patent application filed with the China Patent Office on December 13, 2023, with application number 202311707341.8, the entire contents of which are incorporated by reference into this application. Technical Field
[0002] The present application relates to the field of energy storage control technology, for example, to a method and device for adjusting inertia damping parameters, and a non-volatile storage medium. Background Art
[0003] Against the backdrop of achieving carbon neutrality, ensuring energy security, and accelerating energy transformation, China's renewable energy generation will maintain rapid development, placing significant challenges on the safe and stable operation of the power grid and ensuring power and electricity balance. Therefore, the participation of large-scale energy storage systems in power system frequency regulation services is crucial for studying energy storage system frequency regulation issues and ensuring stable power grid operation. To enable energy storage converters to actively support the power grid and meet the power system's fast frequency response requirements, inertia damping parameters for energy storage systems are introduced into system frequency control. However, the tuning method for these inertia damping parameters does not fully consider the impact of power and frequency on the tuning process, leading to problems such as low tuning accuracy.
[0004] Summary of the Invention
[0005] The present application provides a method and device for adjusting inertia damping parameters, and a non-volatile storage medium, to at least solve the technical problem of low adjustment accuracy caused by the fact that related technologies do not fully consider the influence of power and frequency on the adjustment process.
[0006] An embodiment of the present application provides a method for tuning inertia damping parameters, including: determining a target closed-loop transfer function between the active power of a virtual synchronous machine of an energy storage system and the inertia parameter and damping parameter to be tuned, and determining a first value range corresponding to the inertia parameter and a second value range corresponding to the damping parameter when the root locus corresponding to the target closed-loop transfer function satisfies at least one of a preset shape and a preset range; determining a second target function between the change in the working angular frequency of the virtual synchronous machine, the change in the active power, and the inertia parameter and the damping parameter, and determining, based on the second target function, a third value range corresponding to the inertia parameter and a fourth value range corresponding to the damping parameter under a first preset condition; determining a third target function between the frequency modulation power of the virtual synchronous machine and the inertia parameter and the damping parameter, and determining, based on the third target function, a fifth value range corresponding to the inertia parameter and a sixth value range corresponding to the damping parameter under a second preset condition; determining a first tuning range corresponding to the inertia parameter based on the first value range, the third value range, and the fifth value range, and determining a fourth value range corresponding to the damping parameter based on the second value range, The fourth value range and the sixth value range determine the second setting range corresponding to the damping parameter.
[0007] Optionally, determining a target closed-loop transfer function between the active power of the virtual synchronous machine of the energy storage system and the inertia parameters and damping parameters to be adjusted includes: determining the active power of the virtual synchronous machine based on the grid voltage, the line impedance between the virtual synchronous machine and the grid, the output voltage of the converter in the virtual synchronous machine, and the output voltage phase of the converter; and determining the target closed-loop transfer function between the active power relative to the active reference power and the inertia parameters and the damping parameters based on the output voltage of the converter, the rated angular frequency of the virtual synchronous machine, and Laplace transform parameters.
[0008] Optionally, determining the second objective function between the change in the working angular frequency of the virtual synchronous machine, the change in the active power, the inertia parameter, and the damping parameter includes: determining the second objective function based on the Laplace transform parameter, the rated angular frequency, and the active frequency modulation coefficient of the virtual synchronous machine.
[0009] Optionally, before determining the third objective function between the frequency modulation power of the virtual synchronous machine and the inertia parameter and the damping parameter, the method further includes: determining the frequency modulation power according to the damping parameter, the operating frequency of the power grid and the rated frequency of the virtual synchronous machine.
[0010] Optionally, determining the third objective function between the frequency modulation power of the virtual synchronous machine and the inertia parameter and the damping parameter includes: determining the third objective function based on the equivalent damping parameter, disturbance power, steady-state frequency, the rated frequency, and equivalent inertia parameter of the virtual synchronous machine.
[0011] Optionally, the first preset condition includes at least one of the following: the ratio of the change in the operating angular frequency to the change in the active power does not exceed a first preset threshold, and the second preset condition includes at least one of the following: the frequency modulation power does not exceed a second preset threshold.
[0012] Optionally, determining the first tuning range corresponding to the inertia parameter based on the first value range, the third value range, and the fifth value range, and determining the second tuning range corresponding to the damping parameter based on the second value range, the fourth value range, and the sixth value range, includes: intersecting the first value range with the third value range to obtain a first target range; intersecting the first target range with the fifth value range to obtain a first tuning range; intersecting the second value range with the fourth value range to obtain a second target range; and intersecting the second target range with the sixth value range to obtain a second tuning range.
[0013] The embodiment of the present application also provides an inertia damping parameter setting device, comprising: a first determination module, configured to determine the target closed-loop transfer function between the active power of the virtual synchronous machine of the energy storage system and the inertia parameter and the damping parameter to be set, and determine the first value range corresponding to the inertia parameter and the second value range corresponding to the damping parameter when the root locus corresponding to the target closed-loop transfer function satisfies at least one of a preset shape and a preset range; a second determination module, configured to determine the second objective function between the change in the working angular frequency of the virtual synchronous machine, the change in the active power and the inertia parameter and the damping parameter, and determine, based on the second objective function, under the first preset condition, the a third determining module, configured to determine a third value range corresponding to the inertia parameter and a fourth value range corresponding to the damping parameter; a third determining module, configured to determine a third objective function between the frequency modulation power of the virtual synchronous machine and the inertia parameter and the damping parameter, and to determine, based on the third objective function, a fifth value range corresponding to the inertia parameter and a sixth value range corresponding to the damping parameter under a second preset condition; a fourth determining module, configured to determine a first setting range corresponding to the inertia parameter based on the first value range, the third value range, and the fifth value range, and to determine a second setting range corresponding to the damping parameter based on the second value range, the fourth value range, and the sixth value range.
[0014] An embodiment of the present application further provides a non-volatile storage medium, which includes a stored program. When the program is executed, the device where the storage medium is located is controlled to execute the above-mentioned method for adjusting the inertia damping parameters.
[0015] An embodiment of the present application further provides an electronic device, including: a memory and a processor, wherein the processor is configured to run a program stored in the memory, wherein the above method for adjusting the inertia damping parameters is executed when the program is run. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] FIG1 is a flow chart of a method for adjusting inertia damping parameters according to an embodiment of the present application;
[0017] FIG2 is a grid-connected topology diagram of an energy storage system according to an embodiment of the present application;
[0018] FIG3 is a control block diagram of a converter according to an embodiment of the present application;
[0019] FIG4 is a schematic diagram of a root locus corresponding to a target closed-loop transfer function according to an embodiment of the present application;
[0020] FIG5 is a schematic diagram of a second objective function according to an embodiment of the present application;
[0021] FIG6 is a schematic diagram of a third objective function according to an embodiment of the present application;
[0022] FIG7 is a structural diagram of a device for adjusting inertia damping parameters according to an embodiment of the present application;
[0023] FIG8 is a hardware structure block diagram of a computer terminal according to a method for adjusting inertia damping parameters according to an embodiment of the present application. DETAILED DESCRIPTION
[0024] The following will describe the technical solutions in the embodiments of this application in conjunction with the drawings in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of this application.
[0025] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequential order. It should be understood that the order used in this way can be interchanged where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.
[0026] According to an embodiment of the present application, a method embodiment of a method for adjusting inertia damping parameters is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.
[0027] FIG1 is a flow chart of a method for adjusting inertia damping parameters according to an embodiment of the present application. As shown in FIG1 , the method includes the following steps.
[0028] Step S102: Determine a target closed-loop transfer function between the active power of the virtual synchronous machine of the energy storage system and the inertia parameter and damping parameter to be adjusted, and determine a first value range corresponding to the inertia parameter and a second value range corresponding to the damping parameter when a root locus corresponding to the target closed-loop transfer function satisfies a preset shape and / or range.
[0029] Optionally, the energy storage system includes a voltage source converter (VSC). This is an active support energy storage system, which has the ability to support grid stability while also combining the same functions as conventional energy storage, reactive power compensation, and other devices. This is key to ensuring the stable operation of systems with a high proportion of renewable energy. Furthermore, a battery energy storage power control strategy based on virtual synchronous generators (SGs) can significantly improve the inertia of battery energy storage and the responsiveness of the speed regulator.
[0030] In order to make the energy storage system have the same support capability as the traditional synchronous generator, the control strategy of the energy storage VSC adopts the virtual synchronous machine control technology. Figure 2 is a grid-connected topology diagram of an energy storage system according to an embodiment of the present application. As shown in Figure 2, L, R L , C are the filter inductance, resistance and capacitance of the inverter respectively; L g and Rg are line inductance and resistance respectively. DC side V dc is the voltage of the energy storage system. ck (k=a,b,c) is the capacitor voltage of the AC filter equal to the AC output voltage of the energy storage VSC, e cdref 、e cqref It is the corresponding dq axis component after coordinate transformation. Lk and i k (k=a,b,c) are the inductor current of the AC filter and the AC output current of the energy storage VSC, i Ld 、i Lq and i d 、i q is i LK and i K The dq axis components of u k (k=a,b,c) is the grid voltage at the connection point, u od and u oq are the dq axis components of the VSC control voltage respectively.
[0031] FIG3 is a control block diagram of a converter according to an embodiment of the present application. As shown in FIG3 , the energy storage active support control mainly includes two parts: active power-frequency (P-ω) control, and reactive power-voltage (QE) control, wherein:
[0032] Active power-frequency control is to introduce the rotor mechanical equation in the synchronous machine mathematical model to simulate the inertia damping characteristics of the synchronous machine, which can be expressed by the following formula:
[0033] Where J and D are the inertia parameter and damping parameter respectively, ω, ω0 and Δω are the output angular frequency, rated angular frequency and the difference between them respectively, P ref is the reference active power, P m and P0 are the mechanical power and output active power of VSC respectively, K ω is the active frequency modulation coefficient, and δ is the output voltage phase of the converter (i.e., the reference phase).
[0034] Reactive-voltage control simulates the excitation characteristics of synchronous machines, giving the energy storage system voltage regulation capabilities, which can be expressed by the following formula:
[0035] E=K q (Q ref -Q0)+U ref
[0036] Among them, Q ref is the reference reactive power, Q0 is the output reactive power of VSC, K q is the reactive power droop coefficient, U refis the voltage amplitude reference value, and E is the output voltage amplitude.
[0037] According to some optional embodiments of the present application, determining the target closed-loop transfer function between the active power of the virtual synchronous machine of the energy storage system and the inertia parameters and damping parameters to be adjusted can be achieved by the following method.
[0038] Step S1021 : determining the active power of the virtual synchronous machine according to the grid voltage, the line impedance between the virtual synchronous machine and the grid, the output voltage of the converter in the virtual synchronous machine, and the output voltage phase of the converter.
[0039] The active power of the above virtual synchronous machine is determined by the following formula:
[0040] Among them, P0 is the active power of the virtual synchronous machine, u is the grid voltage, Z g is the line impedance between the virtual synchronous machine and the grid, e c is the output voltage of the converter in the virtual synchronous machine, and δ is the output voltage phase of the converter.
[0041] Step S1022: Determine a target closed-loop transfer function between active power relative to active reference power, inertia parameters, and damping parameters based on the output voltage of the converter, the rated angular frequency of the virtual synchronous machine, and Laplace transform parameters.
[0042] The above target closed-loop transfer function is determined by the following formula:
[0043] Among them, J is the inertia parameter, D is the damping parameter, P0 is the active power of the virtual synchronous machine, P ref is the active reference power, u is the grid voltage, Z g is the line impedance between the virtual synchronous machine and the grid, e c is the output voltage of the converter in the virtual synchronous machine, s is the Laplace transform parameter, and ω0 is the rated angular frequency of the virtual synchronous machine.
[0044] Figure 4 is a schematic diagram of the root locus corresponding to a target closed-loop transfer function according to an embodiment of the present application. As shown in Figure 4, as J decreases and D increases, the pole moves away from the imaginary axis, and system stability improves. As D continues to increase, the system enters an underdamped and overdamped state, respectively. When the system is in an overdamped state, one of the characteristic roots approaches the imaginary axis, reducing the system's stability margin and deteriorating its dynamic performance and stability.
[0045] Step S104: Determine a second objective function between the change in the operating angular frequency of the virtual synchronous machine, the change in the active power, and the inertia parameter and the damping parameter, and determine, based on the second objective function, a third value range corresponding to the inertia parameter and a fourth value range corresponding to the damping parameter under the first preset condition.
[0046] Optionally, the first preset condition includes at least one of the following: a ratio of a change in the operating angular frequency to a change in the active power does not exceed a first preset threshold.
[0047] According to other optional embodiments of the present application, a second objective function between the change in the operating angular frequency of the virtual synchronous machine, the change in active power, and the inertia parameters and damping parameters is determined by the following method: the second objective function is determined based on the Laplace transform parameters, the rated angular frequency, and the active frequency modulation coefficient of the virtual synchronous machine.
[0048] The second objective function is determined by the following formula:
[0049] s is the Laplace transform parameter, ω0 is the rated angular frequency, K ω is the active frequency modulation coefficient of the virtual synchronous machine.
[0050] The above formula is determined by the following method. First, the virtual speed regulator and rotor motion equation of the energy storage VSC are simulated as follows:
[0051] According to the above formula, the active power-frequency transfer function is:
[0052] By rearranging the above formula, we can obtain the coupling relationship between the system frequency change and the active power value, which is the second objective function.
[0053] Figure 5 is a schematic diagram of a second objective function according to an embodiment of the present application, wherein (a) represents the influence of the damping parameter on the frequency change trend under power disturbance, and (b) represents the influence of the damping inertia parameter on the frequency change trend under power disturbance. As shown in Figure 5, both the damping parameter and the inertia parameter have an inhibitory effect on the output frequency change of the energy storage VSC.
[0054] Step S106: determining a third objective function between the frequency modulation power of the virtual synchronous machine and the inertia parameter and the damping parameter, and determining, based on the third objective function, a fifth value range corresponding to the inertia parameter and a sixth value range corresponding to the damping parameter under the second preset condition.
[0055] Optionally, the second preset condition includes at least one of the following: the frequency modulation power does not exceed a second preset threshold.
[0056] In some optional embodiments, before determining the third objective function between the frequency modulation power of the virtual synchronous machine and the inertia parameter and the damping parameter, it is also necessary to: determine the frequency modulation power according to the damping parameter, the operating frequency of the power grid and the rated frequency of the virtual synchronous machine.
[0057] The above FM power is determined by the following formula:
[0058] Where D is the damping parameter, f is the operating frequency of the power grid, and f N is the rated frequency of the virtual synchronous machine, P R is the FM power.
[0059] In some optional embodiments of the present application, a third objective function between the frequency modulation power of the virtual synchronous machine and the inertia parameter and damping parameter is determined by the following method: the third objective function is determined based on the equivalent damping parameter, disturbance power, steady-state frequency, rated frequency, and equivalent inertia parameter of the virtual synchronous machine.
[0060] The third objective function is determined by the following formula:
[0061] Where J0+J=J sum , D0+D=D sum , D0 is the equivalent damping parameter of the virtual synchronous machine, J0 is the equivalent inertia parameter of the virtual synchronous machine, P R is the frequency modulation power, ΔP g is the disturbance power, f0 is the steady-state frequency, f N is the rated frequency.
[0062] FIG6 is a schematic diagram of a third objective function according to an embodiment of the present application. As shown in FIG6 , the energy storage system increases the inertia and damping of the power system, and its frequency modulation power participating in the system frequency modulation will also increase.
[0063] Step S108: Determine a first setting range corresponding to the inertia parameter based on the first value range, the third value range, and the fifth value range; and determine a second setting range corresponding to the damping parameter based on the second value range, the fourth value range, and the sixth value range.
[0064] As some optional embodiments of the present application, determining a first setting range corresponding to the inertia parameter based on the first value range, the third value range, and the fifth value range, and determining a second setting range corresponding to the damping parameter based on the second value range, the fourth value range, and the sixth value range, includes the following steps:
[0065] Step S1081: Intersect the first value range and the third value range to obtain a first target range;
[0066] Step S1082, intersecting the first target range with the fifth value range to obtain a first setting range;
[0067] Step S1083, intersecting the second value range and the fourth value range to obtain a second target range;
[0068] Step S1084: Intersect the second target range with the sixth value range to obtain a second setting range.
[0069] The above steps use formulas to calculate the impact of inertia parameters and damping parameters on the frequency regulation power output and frequency response of the energy storage system. This can further refine the value range of the inertia parameters and damping parameters, enhance the stability of the energy storage system when participating in frequency regulation services, and optimize the frequency regulation characteristics of the energy storage system in the power system.
[0070] According to the above steps, a target closed-loop transfer function is determined between the active power of the virtual synchronous machine of the energy storage system and the inertia parameter and the damping parameter to be adjusted, and a first value range corresponding to the inertia parameter and a second value range corresponding to the damping parameter are determined when the root locus corresponding to the target closed-loop transfer function satisfies a preset shape and / or range; a second target function is determined between the change in the working angular frequency of the virtual synchronous machine, the change in the active power and the inertia parameter and the damping parameter, and according to the second target function, a third value range corresponding to the inertia parameter and a fourth value range corresponding to the damping parameter under the first preset condition are determined; the frequency modulation power of the virtual synchronous machine and the inertia parameter and the damping parameter are determined. The third objective function between the two numbers is used, and according to the third objective function, the fifth value range corresponding to the inertia parameter and the sixth value range corresponding to the damping parameter under the second preset condition are determined; according to the first value range, the third value range and the fifth value range, the first tuning range corresponding to the inertia parameter is determined, and according to the second value range, the fourth value range and the sixth value range, the second tuning range corresponding to the damping parameter is determined. This achieves the purpose of fully considering the influence of power and frequency on the tuning process, thereby realizing the technical effect of improving the tuning accuracy, and further solves the technical problem of low tuning accuracy caused by the fact that the relevant technology does not fully consider the influence of power and frequency on the tuning process.
[0071] FIG7 is a structural diagram of an inertia damping parameter tuning device according to an embodiment of the present application. As shown in FIG7 , the device includes: a first determination module 70, configured to determine a target closed-loop transfer function between the active power of the virtual synchronous machine of the energy storage system and the inertia parameter and damping parameter to be tuned, and to determine a first value range corresponding to the inertia parameter and a second value range corresponding to the damping parameter when the root locus corresponding to the target closed-loop transfer function satisfies a preset shape and / or range; a second determination module 72, configured to determine a second target function between the change in the operating angular frequency and the change in the active power of the virtual synchronous machine and the inertia parameter and damping parameter, and to determine, based on the second target function, a third value range corresponding to the inertia parameter and a fourth value range corresponding to the damping parameter under a first preset condition; and a third determination module 74, The fourth determining module 76 is configured to determine a third objective function between the frequency modulation power of the virtual synchronous machine and the inertia parameter and the damping parameter, and to determine, based on the third objective function, a fifth value range corresponding to the inertia parameter and a sixth value range corresponding to the damping parameter under the second preset condition; the fourth determining module 76 is configured to determine a first setting range corresponding to the inertia parameter based on the first value range, the third value range, and the fifth value range, and to determine a second setting range corresponding to the damping parameter based on the second value range, the fourth value range, and the sixth value range.
[0072] The multiple modules in Figure 7 above can be program modules (for example, a set of program instructions that implement a specific function) or hardware modules. For the latter, they can be expressed in the following forms, but are not limited to this: the expression form of the above multiple modules is a processor, or the functions of the above multiple modules are implemented by a processor.
[0073] For optional implementations of the embodiment shown in FIG. 7 , reference may be made to the relevant descriptions of the embodiment shown in FIG. 1 , which will not be repeated here.
[0074] Figure 8 shows a hardware block diagram of a computer terminal for implementing a method for tuning inertia damping parameters. As shown in Figure 8 , the computer terminal 80 may include one or more processors 802 (illustrated in the figure as 802a, 802b, ..., 802n) (processor 802 may include, but is not limited to, a microcontroller unit (MCU) or a field programmable gate array (FPGA) processing device), a memory 804 configured to store data, and a transmission module 806 for communication functions. Furthermore, the computer terminal 80 may include a display, an input / output (I / O) interface, a universal serial bus (USB) port (which may be included as one of the ports of a BUS), a network interface, a power supply, and / or a camera. Those skilled in the art will appreciate that the structure shown in Figure 8 is merely illustrative and does not limit the structure of the electronic device described above. For example, the computer terminal 80 may include more or fewer components than shown in Figure 8 , or have a configuration different from that shown in Figure 8 .
[0075] The one or more processors 802 and / or other data processing circuits described above may generally be referred to herein as "data processing circuitry." The data processing circuitry may be embodied in whole or in part as software, hardware, firmware, or any other combination thereof. Furthermore, the data processing circuitry may be a single, independent processing module, or may be incorporated in whole or in part into any of the other components of the computer terminal 80. As described in the embodiments of the present application, the data processing circuitry functions as a processor control (e.g., selection of a variable resistor terminal path connected to an interface).
[0076] The memory 804 can be configured to store software programs and modules of application software, such as the program instructions / data storage device corresponding to the method for adjusting the inertia damping parameters in the embodiment of the present application. The processor 802 executes various functional applications and data processing by running the software programs and modules stored in the memory 804, that is, to implement the above-mentioned method for adjusting the inertia damping parameters. The memory 804 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 804 may also include a memory remotely located relative to the processor 802, and these remote memories may be connected to the computer terminal 80 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.
[0077] The transmission module 806 is configured to receive or transmit data via a network. A specific example of the aforementioned network may include a wireless network provided by the communications provider of the computer terminal 80. In one embodiment, the transmission module 806 includes a network interface controller (NIC), which can be connected to other network devices via a base station to enable communication with the Internet. In another embodiment, the transmission module 806 may be a radio frequency (RF) module configured to communicate with the Internet wirelessly.
[0078] The display may be, for example, a touch screen liquid crystal display (LCD), which enables a user to interact with a user interface of the computer terminal 80 .
[0079] In some optional embodiments, the computer terminal shown in FIG8 above may include hardware elements (including circuits), software elements (including computer code stored on a computer-readable medium), or a combination of hardware elements and software elements. It should be noted that FIG8 is only an example of a specific embodiment and is intended to illustrate the types of components that may be present in the above-mentioned computer terminal.
[0080] It should be noted that the computer terminal shown in FIG8 is used to execute the method for adjusting the inertia damping parameters shown in FIG1 , so the relevant explanations in the execution method of the above command are also applicable to the electronic device and will not be repeated here.
[0081] An embodiment of the present application further provides a non-volatile storage medium, which includes a stored program. When the program runs, the device where the storage medium is located is controlled to execute the above-mentioned method for adjusting the inertia damping parameters.
[0082] The non-volatile storage medium performs the following functions: determining a target closed-loop transfer function between the active power of a virtual synchronous machine of an energy storage system and an inertia parameter and a damping parameter to be adjusted, and determining a first value range corresponding to the inertia parameter and a second value range corresponding to the damping parameter when a root locus corresponding to the target closed-loop transfer function satisfies a preset shape and / or range; determining a second target function between a change in the operating angular frequency and the active power of the virtual synchronous machine and the inertia parameter and the damping parameter, and determining, based on the second target function, a third value range corresponding to the inertia parameter and a fourth value range corresponding to the damping parameter under a first preset condition; determining a third target function between the frequency modulation power of the virtual synchronous machine and the inertia parameter and the damping parameter, and determining, based on the third target function, a fifth value range corresponding to the inertia parameter and a sixth value range corresponding to the damping parameter under a second preset condition; determining a first tuning range corresponding to the inertia parameter based on the first value range, the third value range, and the fifth value range, and determining a second tuning range corresponding to the damping parameter based on the second value range, the fourth value range, and the sixth value range.
[0083] An embodiment of the present application further provides an electronic device, including: a memory and a processor, wherein the processor is configured to run a program stored in the memory, wherein the above method for adjusting the inertia damping parameters is executed when the program is run.
[0084] The processor is configured to run a program that performs the following functions: determining a target closed-loop transfer function between the active power of the virtual synchronous machine of the energy storage system and the inertia parameter and the damping parameter to be adjusted, and determining a first value range corresponding to the inertia parameter and a second value range corresponding to the damping parameter when a root locus corresponding to the target closed-loop transfer function satisfies a preset shape and / or range; determining a second target function between a change in the operating angular frequency and the active power of the virtual synchronous machine and the inertia parameter and the damping parameter, and determining, based on the second target function, a third value range corresponding to the inertia parameter and a fourth value range corresponding to the damping parameter under a first preset condition; determining a third target function between the frequency modulation power of the virtual synchronous machine and the inertia parameter and the damping parameter, and determining, based on the third target function, a fifth value range corresponding to the inertia parameter and a sixth value range corresponding to the damping parameter under a second preset condition; determining a first tuning range corresponding to the inertia parameter based on the first value range, the third value range, and the fifth value range, and determining a second tuning range corresponding to the damping parameter based on the second value range, the fourth value range, and the sixth value range.
[0085] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units can be a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.
[0086] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.
[0087] In addition, multiple functional units in various embodiments of the present application may be integrated into one processing unit, or multiple units may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated units may be implemented in the form of hardware or software functional units.
[0088] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the relevant technology or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including multiple instructions for enabling a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the method described in multiple embodiments of the present application. The aforementioned storage medium includes: a variety of media that can store program codes, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk.
Claims
1. A method for setting inertia damping parameters, comprising: Determine a target closed-loop transfer function between the active power of the virtual synchronous machine of the energy storage system and the inertia parameter and the damping parameter to be adjusted, and determine a first value range corresponding to the inertia parameter and a second value range corresponding to the damping parameter when a root locus corresponding to the target closed-loop transfer function satisfies at least one of a preset shape and a preset range; Determine a second objective function between the change in the working angular frequency of the virtual synchronous machine, the change in the active power, the inertia parameter, and the damping parameter, and determine, according to the second objective function, a third value range corresponding to the inertia parameter and a fourth value range corresponding to the damping parameter under a first preset condition; Determine a third objective function between the frequency modulation power of the virtual synchronous machine and the inertia parameter and the damping parameter, and determine, according to the third objective function, a fifth value range corresponding to the inertia parameter and a sixth value range corresponding to the damping parameter under a second preset condition; According to the first value range, the third value range and the fifth value range, a first setting range corresponding to the inertia parameter is determined, and according to the second value range, the fourth value range and the sixth value range, a second setting range corresponding to the damping parameter is determined.
2. The method according to claim 1, wherein: The step of determining the target closed-loop transfer function between the active power of the virtual synchronous machine of the energy storage system and the inertia parameter and damping parameter to be adjusted includes: Determining the active power of the virtual synchronous machine according to the grid voltage, the line impedance between the virtual synchronous machine and the grid, the output voltage of the converter in the virtual synchronous machine, and the output voltage phase of the converter; The target closed-loop transfer function between the active power relative to the active reference power, the inertia parameter and the damping parameter is determined according to the output voltage of the converter, the rated angular frequency of the virtual synchronous machine and the Laplace transform parameter.
3. The method according to claim 2, wherein: The second objective function between the change in the working angular frequency of the virtual synchronous machine, the change in the active power, the inertia parameter, and the damping parameter is determined, including: The second objective function is determined according to the Laplace transform parameter, the rated angular frequency, and the active frequency modulation coefficient of the virtual synchronous machine.
4. The method according to claim 1, before determining the third objective function between the frequency modulation power of the virtual synchronous machine and the inertia parameter and the damping parameter, the method further comprises: The frequency modulation power is determined according to the damping parameter, the operating frequency of the power grid and the rated frequency of the virtual synchronous machine.
5. The method according to claim 4, wherein: The determining of the third objective function between the frequency modulation power of the virtual synchronous machine and the inertia parameter and the damping parameter comprises: The third objective function is determined according to the equivalent damping parameter, disturbance power, steady-state frequency, the rated frequency, and equivalent inertia parameter of the virtual synchronous machine.
6. The method according to claim 1, wherein: The first preset condition includes at least one of the following: the ratio of the change in the operating angular frequency to the change in the active power does not exceed a first preset threshold value; the second preset condition includes at least one of the following: the frequency modulation power does not exceed a second preset threshold value.
7. The method according to claim 1, wherein: The determining, according to the first value range, the third value range, and the fifth value range, of a first setting range corresponding to the inertia parameter, and according to the second value range, the fourth value range, and the sixth value range, of a second setting range corresponding to the damping parameter, comprises: Taking the intersection of the first value range and the third value range to obtain a first target range; Intersecting the first target range with the fifth value range to obtain the first setting range; Take the intersection of the second value range and the fourth value range to obtain a second target range; The second target range is intersected with the sixth value range to obtain the second setting range.
8. A device for setting inertia damping parameters, comprising: A first determination module is configured to determine a target closed-loop transfer function between the active power of the virtual synchronous machine of the energy storage system and the inertia parameter and the damping parameter to be adjusted, and determine a first value range corresponding to the inertia parameter and a second value range corresponding to the damping parameter when a root locus corresponding to the target closed-loop transfer function satisfies at least one of a preset shape and a preset range; a second determination module, configured to determine a second objective function between a change in the working angular frequency of the virtual synchronous machine, a change in the active power, an inertia parameter, and a damping parameter, and determine, according to the second objective function, a third value range corresponding to the inertia parameter and a fourth value range corresponding to the damping parameter under a first preset condition; a third determination module, configured to determine a third objective function between the frequency modulation power of the virtual synchronous machine and the inertia parameter and the damping parameter, and determine, according to the third objective function, a fifth value range corresponding to the inertia parameter and a sixth value range corresponding to the damping parameter under a second preset condition; The fourth determination module is configured to determine the first setting range corresponding to the inertia parameter according to the first value range, the third value range and the fifth value range, and determine the second setting range corresponding to the damping parameter according to the second value range, the fourth value range and the sixth value range.
9. A non-volatile storage medium comprising a stored program, wherein: When the program is running, the device where the non-volatile storage medium is located is controlled to execute the method for adjusting the inertia damping parameters as described in any one of claims 1 to 7.
10. An electronic device comprising: A memory and a processor, wherein the processor is configured to run a program stored in the memory, wherein the program, when running, executes the method for setting the inertia damping parameters according to any one of claims 1 to 7.
Citation Information
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