Multi-resource layered cooperative frequency support method and system based on node inertia evaluation

Abstract

The invention relates to the technical field of novel power systems, in particular to a multi-resource hierarchical cooperative frequency support method and system based on node inertia assessment, and the method comprises the steps: identifying a low-inertia node or a low-inertia region; the method comprises the following steps: configuring multiple types of adjustable resources in a low-inertia node or region, and configuring a virtual inertia control module and a primary frequency modulation control module for each adjustable resource; the system frequency and the frequency change rate are monitored in real time, and when it is detected that the frequency change rate is negative and exceeds a preset first threshold value, virtual inertia control modules of all adjustable resources in the low-inertia area are synchronously triggered; after triggering, if the mutually monitored frequency deviation exceeds a preset second threshold value, starting primary frequency modulation control of each adjustable resource in a grading manner according to the economy priority; when the frequency meets the recovery criterion, the primary frequency modulation control quits in a grading manner according to the sequence opposite to the starting sequence; and when the frequency change rate is recovered to the safety range, the virtual inertia control module synchronously quits.

Description

Technical Field

[0001] This invention relates to the field of novel power system technology, and in particular to a multi-resource hierarchical collaborative frequency support method and system based on nodal inertia assessment. Background Technology

[0002] With the integration of a high proportion of renewable energy and power electronic equipment into the new power system, traditional synchronous generators are being replaced by a large number of adjustable resources such as wind power and photovoltaics. This has led to a significant reduction in the equivalent inertia of the power system and a significant decrease in primary frequency regulation capacity. When power disturbances occur, the system frequency change rate RoCoF increases sharply, the frequency deviation amplitude rises, and the frequency stability domain narrows, posing a serious threat to the safe and stable operation of the power grid.

[0003] Virtual synchronous control technology offers a potential solution to these problems, enabling flexible resources such as photovoltaics, wind power, energy storage, and flexible DC transmission to simulate the external characteristics of synchronous machines, providing virtual inertial response and primary frequency regulation support. However, current practices in coordinating multiple resources for frequency support present a prominent technical contradiction: the failure to strictly distinguish between the inertial response aimed at "suppressing the rate of frequency change" and the primary frequency regulation aimed at "reducing frequency deviation," two stages with different time scales and control objectives. Existing strategies often employ a single coordination logic. If a sequential evaluation and tiered deployment approach is used in the initial stage where rapid RoCoF suppression is required, unnecessary decision-making delays will be introduced, missing the optimal support opportunity and affecting transient stability. Conversely, if, in the steady-state stage where continuous power support is needed to restore frequency, all resources are required to respond at full capacity simultaneously while ignoring differences in resource regulation costs, it will lead to wasted regulation resources and impair the economic efficiency of system operation.

[0004] Furthermore, the inertia of the power grid exhibits a spatially uneven distribution, making it neither economical nor feasible to precisely reinforce weak points by allocating frequency support resources globally and indiscriminately. Therefore, there is an urgent need for a method that can accurately assess the weak points of system inertia and implement hierarchical and coordinated control of multiple types of resources based on the physical nature of the dynamic process of frequency drops, in order to achieve the economically optimal utilization of regulation resources while ensuring rapid frequency stabilization.

[0005] The information disclosed in this background section is intended only to enhance the understanding of the general background of the invention and should not be construed as an admission or in any way implying that the information constitutes prior art known to those skilled in the art. Summary of the Invention

[0006] This invention provides a multi-resource hierarchical collaborative frequency support method and system based on node inertia assessment, thereby effectively solving the problems in the background technology.

[0007] To achieve the above objectives, the technical solution adopted by this invention is: a multi-resource hierarchical collaborative frequency support method and system based on node inertia assessment, comprising the following steps: Based on the network topology and equipment parameters of the power system, the equivalent inertia distribution map of each node in the power grid is calculated and generated to identify low inertia nodes or low inertia regions. Multiple types of adjustable resources, including photovoltaic power generation systems, wind power generation systems, flexible DC transmission systems, and energy storage systems, are configured in the low inertia node or region, and a virtual inertial control module and a primary frequency regulation control module are configured for each type of adjustable resource. The system frequency and frequency change rate are monitored in real time. When the frequency change rate is detected to be negative and exceeds a preset first threshold, the virtual inertial control module of all adjustable resources in the low inertia region is triggered synchronously to provide instantaneous inertial support. After triggering, if the frequency deviation detected by mutual monitoring exceeds the preset second threshold, the primary frequency regulation control of each adjustable resource will be initiated according to the economic priority level; after each level is initiated, the corresponding evaluation window will be entered and the primary frequency regulation of the next level will be initiated based on the frequency deviation recovery trend within the window. When the frequency meets the recovery criterion, the primary frequency modulation control exits in stages in the reverse order of the startup sequence; when the frequency change rate recovers to a safe range, the virtual inertial control module exits synchronously. A dangerous threshold for the rate of frequency change is set. When the real-time rate of frequency change exceeds this dangerous threshold, an emergency control command is directly issued to all adjustable resources in the low inertia region to bring them into the maximum capacity support state.

[0008] Furthermore, the calculation of the equivalent inertia is based on the synchronous generator inertia parameters, the node-generator correlation matrix, and the network admittance matrix. The theoretical calculation value can be verified by applying a disturbance to the grid node and measuring the frequency response to obtain the measured value of the node inertia, thereby identifying low-inertia nodes or regions.

[0009] Furthermore, the virtual inertial control module enables each adjustable resource in the low inertia region to respond simultaneously according to its own preset virtual inertia coefficient in a synchronous triggering manner, so as to suppress the system frequency change rate.

[0010] Furthermore, the economic priority classification is as follows: first, the primary frequency regulation of the photovoltaic system is used; second, the wind power system is used; third, the flexible DC transmission system is used; and finally, the energy storage system is used.

[0011] Furthermore, the evaluation window is a preset time window, and the trend analysis of frequency deviation is used as the criterion within the window: if the frequency deviation does not show a significant downward trend within the window, it is determined that the current level of support is insufficient and the next level of primary frequency regulation control is triggered.

[0012] Furthermore, the exit criteria for the primary frequency modulation control include the frequency deviation returning to within the preset dead zone threshold or the frequency change rate changing from negative to positive, and the primary frequency modulation control is exited step by step according to the last-in-first-out principle.

[0013] Furthermore, the emergency control command is a highest priority command. Once triggered, it is used to suspend the ongoing regular hierarchical control process and instructs all adjustable resources to provide maximum instantaneous active / reactive support within their physical limits.

[0014] Furthermore, before each adjustable resource performs supporting actions, the resource body or its controller performs capability boundary and security status checks. If the checks do not meet physical or security constraints, the current level call of the resource is skipped and the exception is recorded.

[0015] The present invention also includes a multi-resource hierarchical collaborative frequency support system based on node inertia assessment, comprising: The system includes an inertia assessment unit, a frequency and frequency change rate monitoring unit, a virtual inertial control unit, a primary frequency modulation hierarchical control unit, and an emergency support unit, all of which are interconnected to perform the above-described method steps.

[0016] The present invention also includes a computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the method as described above.

[0017] The present invention also includes a storage medium having a computer program stored thereon, which, when executed by a processor, implements the method as described above.

[0018] The beneficial effects of this invention are as follows: By addressing the speed-priority requirement for suppressing RoCoF and the economically optimal requirement for reducing Δf, the contradiction between speed and economy under a single coordination logic is resolved through hierarchical optimization. Synchronously triggered virtual inertial control ensures rapid initial containment of frequency drops; primary frequency regulation based on economically tiered scheduling optimizes resource utilization costs during steady-state recovery, achieving a balance between safety and economy. This forms a collaborative defense system consisting of a first-layer rapid inertia support, a second-layer tiered frequency deviation adjustment, and a tiered emergency support, significantly enhancing the system's robustness and adaptability to disturbances of different scales. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is a flowchart of the method in Example 1; Figure 2 This is a schematic diagram of the system structure in Example 1; Figure 3 This is a schematic diagram of the overall process of the method in Example 2.

[0021] Figure 4 This is a schematic diagram of the standard test IEEE 24-node in Example 2.

[0022] Figure 5 This is a schematic diagram of nodal inertia assessment and weak area identification in Example 2.

[0023] Figure 6 This is a schematic diagram of multiple types of adjustable resource access in Example 2.

[0024] Figure 7 and Figure 8 This is a schematic diagram of the frequency response of hierarchical regulation of multiple resources at different time scales in Example 2; Figure 9 This is a schematic diagram of the structure of the computer device of the present invention. Detailed Implementation

[0025] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0026] like Figure 1 As shown: A multi-resource hierarchical collaborative frequency support method and system based on node inertia assessment includes the following steps: Based on the network topology and equipment parameters of the power system, the equivalent inertia distribution map of each node in the power grid is calculated and generated to identify low inertia nodes or low inertia regions. Configure various types of adjustable resources, including photovoltaic power generation systems, wind power generation systems, flexible DC transmission systems and energy storage systems, in low inertia nodes or regions, and configure a virtual inertial control module and a primary frequency regulation control module for each type of adjustable resource; The system frequency and frequency change rate are monitored in real time. When the frequency change rate is detected to be negative and exceeds the preset first threshold, the virtual inertial control module of all adjustable resources in the low inertia region is triggered synchronously to provide instantaneous inertial support. After triggering, if the frequency deviation detected by mutual monitoring exceeds the preset second threshold, the primary frequency regulation control of each adjustable resource will be initiated according to the economic priority level; after each level is initiated, the corresponding evaluation window will be entered and the primary frequency regulation of the next level will be initiated based on the frequency deviation recovery trend within the window. When the frequency meets the recovery criterion, the primary frequency control exits in stages in the reverse order of the start-up sequence; when the frequency change rate recovers to the safe range, the virtual inertial control module exits synchronously. Set a dangerous threshold for the rate of frequency change. When the real-time rate of frequency change exceeds this dangerous threshold, issue an emergency control command directly to all adjustable resources in the low inertia region to put them into the maximum capacity support state.

[0027] By addressing both the speed-priority requirement for suppressing RoCoF and the economically optimal requirement for reducing Δf, a hierarchical optimization approach resolves the conflict between speed and economy under a single coordination logic. Synchronously triggered virtual inertial control ensures rapid initial containment of frequency drops; primary frequency regulation based on economically tiered scheduling optimizes resource utilization costs during steady-state recovery, achieving a balance between safety and economy. This forms a collaborative defense system consisting of a first-layer rapid inertia support, a second-layer tiered frequency deviation adjustment, and a tiered emergency support mechanism, significantly enhancing the system's robustness and adaptability to disturbances of varying scales.

[0028] In this embodiment, the calculation of equivalent inertia is based on synchronous generator inertia parameters, node-generator correlation matrix and network admittance matrix. The theoretical calculation value can be verified by applying disturbances to the grid nodes and measuring the frequency response to obtain the measured value of node inertia, thereby identifying low-inertia nodes or regions.

[0029] The virtual inertial control module uses a synchronous triggering method to enable each adjustable resource in the low inertia region to respond simultaneously according to its own preset virtual inertia coefficient, thereby suppressing the system frequency change rate.

[0030] As a preferred embodiment of the above, the economic priority is ranked as follows: first, the primary frequency regulation of the photovoltaic system is used; second, the wind power system is used; third, the flexible DC transmission system is used; and finally, the energy storage system is used.

[0031] In this embodiment, the evaluation window is a preset time window, and the trend analysis of frequency deviation is used as the criterion within the window: if the frequency deviation does not show a significant downward trend within the window, it is determined that the current level of support is insufficient and the next level of primary frequency modulation control is triggered.

[0032] The exit criteria for primary frequency modulation control include the frequency deviation returning to within the preset dead zone threshold or the frequency change rate changing from negative to positive, and the primary frequency modulation control is exited step by step according to the last-in-first-out principle.

[0033] Among them, the emergency control command is the highest priority command. Once triggered, it is used to suspend the ongoing regular hierarchical control process and instruct all adjustable resources to provide maximum instantaneous active / reactive support within their physical limits.

[0034] As a preferred embodiment of the above, each adjustable resource performs capability boundary and security status detection by the resource body or its controller before performing support actions. If the detection does not meet physical or security constraints, the current level call of the resource is skipped and the exception is recorded.

[0035] like Figure 2 As shown, this embodiment also includes a multi-resource hierarchical collaborative frequency support system based on node inertia assessment, comprising: The inertia assessment unit, frequency and frequency change rate monitoring unit, virtual inertial control unit, primary frequency modulation hierarchical control unit, and emergency support unit are interconnected to execute the above-mentioned method steps.

[0036] Example 2: As attached Figure 3 As shown, firstly, based on fundamental data such as synchronous generator parameters, line impedance, transformer parameters, and load power, an analytical model of nodal inertia is constructed. Based on this model, a nodal inertia heatmap is plotted, and weak inertia regions are identified. Next, an initial assessment of the frequency change rate is performed: various resources actively monitor frequency changes, and if the frequency change rate exceeds a limit, their control strategies are adjusted in real time, and virtual inertial control is uniformly adopted. Secondly, the deviation between the measured frequency and the rated frequency is monitored, and segmented response control is adopted for each resource's primary frequency response based on the deviation. Finally, when the system frequency recovers to within the frequency dead zone, all resources exit primary frequency regulation. It is worth noting that virtual inertial control involves simultaneous responses from all resources, while primary frequency regulation control responds in stages based on the frequency deviation. If the limit is not exceeded but the frequency is within the dead zone, the resource exits primary frequency regulation. min ≤df / dt <df max Within the interval, further based on the different intervals of frequency deviation Δf, namely Δf<Δf1, Δf1≤Δf<Δf2, Δf2≤Δf<Δf3, Δf≥Δf3, where df min It is the lower limit of the rate of change of frequency, df max The upper limit of the rate of change of frequency is given by Δf, where Δf is the difference between the measured frequency value f and the rated frequency f. N The deviations between them, Δf1, Δf2, and Δf3, are the threshold values ​​for enabling primary frequency regulation for photovoltaic and wind power, wind power and flexible DC, and flexible DC and energy storage, respectively. Primary frequency regulation of photovoltaic units, wind turbines, flexible DC, and energy storage units in low-inertia zones is enabled and increased respectively; if the rate of frequency change does not exceed the limit value, it is further determined whether it is within the df range. min ≤df / dt <df max If the resource is outside the specified range, the original control strategy is maintained. After a frequency adjustment operation is completed, the control strategies for multiple types of adjustable resources are updated synchronously, and the above steps are polled in the next cycle. Appendix Figure 4The diagram shows the standard test architecture for a 24-node IEEE power system. First, the reactance of each synchronous generator, line impedance, transformer parameters, and load parameters are input into the system's inertial analytical model, and the inertia time constant of each node is calculated. ; Where R ki Let B be the correlation matrix between node k and the i-th generator. ik H represents the admittance between generator i and node k, while H i H represents the inertia of the i-th synchronous generator; ck Let be the inertial time constant of the k-th node.

[0037] appendix Figure 5 This is a thermal distribution diagram of the inertia of the IEEE 24-node system. Based on the above formula, a software program was written to calculate the inertia of each node and plot the results as a system inertia thermal diagram. It can be observed that nodes 8 and 23 have the highest inertia, indicating their strongest disturbance resistance. The local region formed by nodes 1 and 2 has the lowest system inertia and is therefore identified as a weak inertia region. Therefore, as shown in the appendix... Figure 6 As shown, multiple types of adjustable resources, including photovoltaic, wind power, flexible DC and energy storage, can be configured on node 1, and all types of resources are enabled with virtual inertia and primary frequency regulation functions.

[0038] appendix Figure 7 and attached Figure 8 The figure shows the frequency response curves of various types of adjustable resources participating in system frequency support. At simulation time t=50s, a 30MW load power disturbance is applied at node BUS22. The comparison shows that without virtual inertial control and primary frequency regulation control, the frequency response curve is significantly steeper, indicating weak inertial support capability and large frequency deviation at this node, suggesting that conventional control cannot regulate the frequency. With virtual inertial control, the node's frequency change rate is significantly slower, and the final frequency deviation is significantly smaller than with conventional control. Furthermore, the primary frequency regulation follows a tiered adjustment process, with energy storage used only in the final stage, which significantly reduces the harm caused by frequent charging and discharging of the energy storage.

[0039] Please see Figure 9 The diagram shows a structural schematic of a computer device provided in an embodiment of this application. An embodiment of this application provides a computer device 400, including a processor 410 and a memory 420. The memory 420 stores a computer program executable by the processor 410. When the computer program is executed by the processor 410, it performs the method described above.

[0040] This application embodiment also provides a storage medium 430, on which a computer program is stored, and the computer program is executed by a processor 410 to perform the above method.

[0041] The storage medium 430 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read Only Memory (EPROM), Programmable Red-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0042] In the description of this invention, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. "A plurality of" means two or more, unless otherwise explicitly specified.

[0043] In this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0044] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Furthermore, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0045] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing a particular logical function or process, and the scope of the preferred embodiments of the invention includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as will be understood by those skilled in the art to which embodiments of the invention pertain.

[0046] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0047] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0048] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0049] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention.

Claims

1. A multi-resource hierarchical collaborative frequency support method based on node inertia assessment, characterized in that, Includes the following steps: Based on the network topology and equipment parameters of the power system, the equivalent inertia distribution map of each node in the power grid is calculated and generated to identify low inertia nodes or low inertia regions. Multiple types of adjustable resources, including photovoltaic power generation systems, wind power generation systems, flexible DC transmission systems, and energy storage systems, are configured in the low inertia node or region, and a virtual inertial control module and a primary frequency regulation control module are configured for each type of adjustable resource. The system frequency and frequency change rate are monitored in real time. When the frequency change rate is detected to be negative and exceeds a preset first threshold, the virtual inertial control module of all adjustable resources in the low inertia region is triggered synchronously to provide instantaneous inertial support. After triggering, if the frequency deviation detected by mutual monitoring exceeds the preset second threshold, the primary frequency regulation control of each adjustable resource will be initiated according to the economic priority level; after each level is initiated, the corresponding evaluation window will be entered and the primary frequency regulation of the next level will be initiated based on the frequency deviation recovery trend within the window. When the frequency meets the recovery criterion, the primary frequency modulation control exits in stages in the reverse order of the startup sequence; when the frequency change rate recovers to a safe range, the virtual inertial control module exits synchronously. A dangerous threshold for the rate of frequency change is set. When the real-time rate of frequency change exceeds this dangerous threshold, an emergency control command is directly issued to all adjustable resources in the low inertia region to bring them into the maximum capacity support state.

2. The multi-resource hierarchical collaborative frequency support method based on node inertia assessment according to claim 1, characterized in that, The calculation of the equivalent inertia is based on the synchronous generator inertia parameters, the node-generator correlation matrix, and the network admittance matrix. The theoretical calculation value can be verified by applying a disturbance to the grid node and measuring the frequency response to obtain the measured value of the node inertia, thereby identifying low-inertia nodes or regions.

3. The multi-resource hierarchical collaborative frequency support method based on node inertia assessment according to claim 1, characterized in that, The virtual inertial control module uses a synchronous triggering method to enable each adjustable resource in the low inertia region to respond simultaneously according to its own preset virtual inertia coefficient, thereby suppressing the system frequency change rate.

4. The multi-resource hierarchical collaborative frequency support method based on node inertia assessment according to claim 1, characterized in that, The economic priority ranking is as follows: first, the primary frequency regulation of photovoltaic systems is prioritized, followed by wind power systems, then flexible DC transmission systems, and finally energy storage systems.

5. The multi-resource hierarchical collaborative frequency support method based on node inertia assessment according to claim 1, characterized in that, The evaluation window is a preset time window, and the trend analysis of frequency deviation is used as the criterion within the window: if the frequency deviation does not show a significant downward trend within the window, it is determined that the current level of support is insufficient and the next level of primary frequency regulation control is triggered.

6. The multi-resource hierarchical collaborative frequency support method based on node inertia assessment according to claim 1, characterized in that, The exit criteria for primary frequency modulation control include the frequency deviation returning to within the preset dead zone threshold or the frequency change rate changing from negative to positive, and the primary frequency modulation control is exited step by step according to the last-in-first-out principle.

7. The multi-resource hierarchical collaborative frequency support method based on node inertia assessment according to claim 1, characterized in that, The emergency control command is the highest priority command. Once triggered, it is used to suspend the ongoing regular hierarchical control process and instruct all adjustable resources to provide maximum instantaneous active / reactive power support within their physical limits.

8. The multi-resource hierarchical collaborative frequency support method based on node inertia assessment according to claim 1, characterized in that, Before each adjustable resource performs a supporting action, the resource body or its controller performs capability boundary and security status checks. If the checks do not meet physical or security constraints, the current level call for that resource is skipped and the exception is logged.

9. A multi-resource hierarchical collaborative frequency support system based on node inertia assessment, characterized in that, include: The inertia assessment unit, frequency and frequency change rate monitoring unit, virtual inertial control unit, primary frequency modulation hierarchical control unit, and emergency support unit are interconnected to perform the steps of the method according to any one of claims 1 to 8.

10. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method as described in any one of claims 1-8.

11. A storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the method as described in any one of claims 1-8.

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