A method and system for optimizing the rotational inertia of new energy power plants
By assessing the inertia and power exchange of new energy systems, energy storage systems, and AC systems, the rotational inertia coefficient of new energy power plants is calculated, solving the problem of insufficient assessment of inertia support capacity and realizing rapid response and improved stability of the power grid.
Patent Information
- Application Number
- CN202411828655.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-12
- Publication Date
- 2025-11-14
- Estimated Expiration
- 2044-12-12
AI Technical Summary
Existing technologies cannot effectively assess the inertia support capabilities of new energy power plants, resulting in a lack of basis for inertia support calculation and control, poor inertia implementation effect, inability to effectively cooperate with AC systems, and reduced system stability.
By conducting inertia assessments on the new energy system, energy storage system, and AC system respectively, and using a preset algorithm to calculate the rotational inertia coefficient of the new energy power plant, including the assessment of the total inertia support capacity of the new energy system and energy storage system, the inertia assessment and inertia coefficient calculation of the AC system, and combining the power exchange between the energy storage inverter and the new energy inverter at the common coupling point.
The implementation of inertia has been improved, with increased accuracy, ensuring that the power grid can quickly recover stability in the face of load fluctuations and faults, reducing the risk of system oscillations and power outages, and improving the adaptability and stability of inertia support.
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Figure CN119853143B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of new energy technology, specifically to a method and system for optimizing the rotational inertia of new energy power plants. Background Technology
[0002] With the introduction of dual-carbon targets, the development of large-scale new energy bases has accelerated, and countries around the world are committed to developing new energy sources represented by wind and solar power. However, the output of wind turbines and photovoltaic units is greatly affected by weather, and their power generation is subject to significant random fluctuations, often resulting in phenomena such as "wind curtailment" and "solar curtailment" on the power generation side. Therefore, to avoid this phenomenon, it is necessary to conduct research on these resources to make them high-quality frequency regulation resources, alleviate the frequency regulation pressure on traditional hydropower and thermal power plants, and accelerate the dynamic response performance of system frequency regulation.
[0003] In recent years, to enable new energy systems to possess the characteristics of inertia and damping, scholars have discovered that virtual synchronous machine (VSG) control can simulate the advantages of inertia and damping in traditional power systems. It can also achieve multiple functions such as frequency and voltage regulation and power distribution, greatly improving system stability. Currently, microgrid systems generally use multiple units connected in parallel. However, if the connection impedance and equivalent output impedance values between each VSG are different, reactive power will circulate, and it will be difficult to distribute reactive power evenly, leading to reduced system stability and damage to power electronic devices.
[0004] The biggest problem with inertia support for new energy power plants is the inability to effectively assess their inertia support capabilities and the inability to effectively coordinate with AC systems. This results in a lack of basis for inertia support calculation and control, leading to poor inertia implementation. Summary of the Invention
[0005] (I) Purpose of the Invention
[0006] The purpose of this invention is to provide a method and system for optimizing the rotational inertia of new energy power plants, which improves the implementation effect of inertia and the accuracy of the rotational inertia coefficient.
[0007] (II) Technical Solution
[0008] To address the above problems, this invention provides a method for optimizing the rotational inertia of a new energy power plant, wherein the new energy power plant includes a new energy system, an energy storage system, and an AC system, and the method includes:
[0009] Using a preset first algorithm, the total inertia support capability of the new energy system and the energy storage system is evaluated to obtain the range of total output active power of the new energy system and the energy storage system.
[0010] The inertia of the AC system is evaluated using a pre-defined second algorithm to obtain the evaluated inertia of the AC system.
[0011] Using a pre-defined third algorithm, the rotational inertia coefficient of the new energy power plant is obtained based on the range of total output active power and the evaluation inertia of the AC system.
[0012] In another aspect of the present invention, preferably,
[0013] The new energy system includes several energy storage inverters;
[0014] The energy storage system includes several new energy inverters;
[0015] The energy storage inverter, the new energy inverter, and the AC system exchange power at a common coupling point.
[0016] In another aspect of the present invention, preferably, the preset first algorithm calculates the range of total active power that can be output using the following formula:
[0017] ΔP=P so +P o
[0018] Where ΔP represents the range of total output active power, P so P represents the output power range of all energy storage inverters at the point of common coupling. o This indicates the output power range of all new energy inverters at the common coupling point.
[0019] In another aspect of the invention, preferably, the output power range of all energy storage inverters at the common coupling point is calculated using the following formula:
[0020]
[0021] Among them, P so This represents the output power range of all energy storage inverters at the point of common coupling, where n represents the inverter number, and P... sn Let S represent the output power range of the nth energy storage inverter, x represent the number of branches from the nth energy storage inverter to the common coupling point, i represent the branch number from the nth energy storage inverter to the common coupling point, and S represent the output power range of the nth energy storage inverter. i X represents the capacity of the i-th branch. i R represents the impedance of the i-th branch. i U represents the resistance of the i-th branch. s The nominal voltage for AC systems.
[0022] In another aspect of the present invention, preferably, the output power range of all the new energy inverters at the common coupling point is calculated using the following formula:
[0023]
[0024] Among them, P o This represents the output power range of all new energy inverters at the point of common coupling, where m represents the inverter number and P represents the output power range of all new energy inverters at the point of common coupling. m Let S represent the output power range of the m-th renewable energy inverter, y represent the number of branches from the m-th renewable energy inverter to the common coupling point, j represent the branch number from the m-th renewable energy inverter to the common coupling point, and S represent the branch number from the m-th renewable energy inverter to the common coupling point. j Y represents the capacity of the j-th branch. j R represents the impedance of the j-th branch. j U represents the resistance of the j-th branch. s This refers to the nominal voltage of the AC system.
[0025] In another aspect of the present invention, preferably, the output power range of the nth energy storage inverter is expressed by the following formula:
[0026] P sn =[-P smaxn +P sqn ,P smaxn -P sqn ]
[0027] Among them, P sn P represents the output power range of the nth energy storage inverter. smaxn P represents the maximum active power output of the nth energy storage inverter. sqn This represents the active power output of the nth energy storage inverter at the moment when inertia support is required.
[0028] In another aspect of the present invention, preferably, the output power range of the m-th new energy inverter is expressed by the following formula:
[0029] P m =[0,P maxm -P qm ]
[0030] Among them, P m P represents the output power range of the m-th renewable energy inverter. maxm P represents the maximum active power output of the m-th renewable energy inverter. qm This represents the active power output of the m-th renewable energy inverter at the moment when inertia support is required.
[0031] In another aspect of the present invention, preferably, the preset second algorithm calculates the evaluation inertia of the AC system using the following formula:
[0032]
[0033] Where J represents the assessed inertia of the AC system, P represents the total active power of the AC system, f represents the operating frequency of the AC system, and Δf represents the frequency change rate of the AC system.
[0034] In another aspect of the present invention, preferably, the preset third algorithm calculates the rotational inertia coefficient of the new energy power plant using the following formula:
[0035]
[0036] Among them, J s ΔP represents the rotational inertia coefficient of the new energy power plant, J represents the estimated inertia of the AC system, ΔP represents the output active power range of the new energy system, P represents the total active power of the AC system, Δf represents the frequency change rate of the AC system, and Δf0 is the target frequency change rate.
[0037] In another aspect, preferably, is a rotational inertia optimization system based on a new energy power plant, wherein the new energy power plant includes a new energy system, an energy storage system, and an AC system;
[0038] The optimization system includes:
[0039] New energy system inertia support capability assessment module: Using a preset first algorithm, the total inertia support capability of the new energy system and the energy storage system is assessed to obtain the range of total output active power of the new energy system and the energy storage system.
[0040] The inertia assessment module of the AC system: uses a preset second algorithm to assess the inertia of the AC system and obtain the assessed inertia of the AC system;
[0041] Inertia coefficient calculation module: Using a preset third algorithm, the rotational inertia coefficient of the new energy power plant is obtained based on the range of output total active power and the evaluation inertia of the AC system.
[0042] (III) Beneficial Effects
[0043] The above-described technical solution of the present invention has the following beneficial technical effects:
[0044] This invention calculates the rotational inertia coefficient of new energy power plants by separately evaluating the inertia of the new energy system, energy storage system, and AC system, and comprehensively considering the evaluation results of both. This more accurately reflects the dynamic response capability and stability of the entire system. This is of great significance for ensuring that the power grid can quickly restore stability in the face of sudden situations such as load fluctuations and faults, and reducing the risk of system oscillations and power outages. This invention fully considers the actual power capabilities of each new energy inverter and energy storage inverter, determines the actual output power range of the PCC point, and can accurately determine the inertia support capability of new energy power plants. Based on the AC system network conditions and the active power range output by the new energy system and energy storage system, the determined inertia parameters can adapt to various operating modes, efficiently and accurately outputting inertia support, and improving the adaptability of inertia support. Attached Figure Description
[0045] Figure 1 An overall flowchart of one embodiment of the present invention is shown;
[0046] Figure 2 A schematic diagram of a new energy power plant configuration according to an embodiment of the present invention is shown;
[0047] Figure 3 A schematic diagram of the connection structure of an energy storage inverter according to an embodiment of the present invention is shown. Detailed Implementation
[0048] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to specific embodiments and the accompanying drawings. It should be understood that these descriptions are merely exemplary and not intended to limit the scope of the invention. Furthermore, descriptions of well-known structures and techniques are omitted in the following description to avoid unnecessarily obscuring the concept of the invention.
[0049] Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.
[0050] Furthermore, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.
[0051] The invention will now be described in more detail with reference to the accompanying drawings. In the various drawings, the same elements are indicated by similar reference numerals. For clarity, the various parts in the drawings are not drawn to scale.
[0052] Example 1
[0053] A method for optimizing the rotational inertia of new energy power plants. Figure 1 An overall flowchart of one embodiment of the present invention is shown, as follows: Figure 1 As shown, it includes:
[0054] Figure 2 A schematic diagram of a new energy power plant configuration according to an embodiment of the present invention is shown, as follows: Figure 2 As shown, the new energy power plant includes a new energy system, an energy storage system, and an AC system. The type and number of new energy systems are not limited here; a new energy system refers to a system that generates electricity using renewable energy sources (such as solar and wind power). The new energy system is connected to the power grid via a new energy inverter. The energy storage system is used to store and release electrical energy to balance supply and demand differences in the power grid. In the new energy power plant, the energy storage system includes battery energy storage systems, supercapacitors, etc. The AC system refers to the traditional power grid portion connected to the new energy system and the energy storage system.
[0055] Using a pre-set first algorithm, the total inertia support capability of the new energy system and energy storage system is evaluated to obtain the range of total output active power of the new energy system and energy storage system. First, using the pre-set first algorithm, the inertia support capability of new energy systems, such as wind power and photovoltaics, and energy storage systems, such as battery energy storage and pumped hydro storage, is evaluated. The range of total output active power of the new energy system and energy storage system can be obtained through a comprehensive analysis of the physical characteristics, control strategies, and operating states of each device in the system. This range reflects the inertia support capability that the system can provide under different operating conditions, that is, the system's ability to respond to changes in grid frequency and output or absorb active power.
[0056] The inertia of the AC system is evaluated using a pre-defined second algorithm to obtain the evaluated inertia of the AC system. This evaluation may include analyzing the inertia characteristics of components such as generators and loads in the AC power grid, and considering the influence of factors such as power grid structure and operating mode on the inertia. The evaluated inertia of the AC system is obtained; this inertia value reflects the stability and regulation capability of the AC system in response to changes in power grid frequency.
[0057] Using a pre-defined third algorithm, the rotational inertia coefficient of the renewable energy power plant is obtained based on the output total active power range and the assessed inertia of the AC system. This coefficient is a crucial indicator of the renewable energy power plant's ability to provide inertia support within the power grid, ensuring that it can provide appropriate inertia support under various operating conditions.
[0058] Furthermore, in this embodiment, the new energy system includes several energy storage inverters; the energy storage system includes several new energy inverters; the energy storage inverters, new energy inverters, and the AC system exchange power at a common coupling point. The energy storage inverters are primarily responsible for converting the DC power stored in the energy storage system (such as battery packs, supercapacitors, etc.) into AC power for energy exchange with the grid or other AC loads. They also have the function of controlling the charging and discharging of energy storage devices, and can adjust the output power according to the grid demand and the state of the energy storage system. In new energy power plants, energy storage inverters can not only provide emergency backup power, but also respond quickly to grid frequency fluctuations, stabilizing the grid frequency through charging and discharging. The new energy inverters are primarily responsible for converting the DC power generated by the new energy system (such as photovoltaic panels, wind turbines) into AC power and connecting it to the grid. These inverters also have maximum power point tracking (MPPT) functionality, which can automatically adjust the operating point to maximize the power extracted from the new energy system. In addition, the new energy inverters also participate in grid inertia support and frequency regulation, responding to grid demand by controlling the output power. In renewable energy power plants, energy storage inverters, renewable energy inverters, and AC systems exchange power at the point of common coupling (PCC). The PCC serves as the interface between the renewable energy plant and the grid, allowing electricity generated by renewable energy sources and storage systems to be injected into the grid, and also allowing grid power to flow back to the renewable energy plant when needed. At the PCC, inverters need to precisely control their output power and current to ensure synchronized operation with the grid and stable power exchange. During power exchange, energy storage inverters and renewable energy inverters respond to grid demands by adjusting their output power. When the grid frequency decreases, they can increase output power to provide additional inertia support; when the grid frequency increases, they can reduce output power or absorb excess energy from the grid. This rapid response capability is crucial for maintaining grid stability and reliability.
[0059] Furthermore, in this embodiment, the preset first algorithm calculates the range of total output active power using the following formula:
[0060] ΔP=P so +P o
[0061] Where ΔP represents the range of total output active power, P so P represents the output power range of all energy storage inverters at the point of common coupling. o This represents the output power range of all renewable energy inverters at the point of common coupling. The total output active power range is the sum of the output power ranges of the energy storage inverters and the renewable energy inverters. This is because both can provide active power support when the grid needs it.
[0062] Figure 3A schematic diagram of the connection structure of an energy storage inverter according to an embodiment of the present invention is shown, as follows: Figure 3 As shown, the output power range of all energy storage inverters at the point of common coupling is calculated using the following formula:
[0063]
[0064] Among them, P so This represents the output power range of all energy storage inverters at the point of common coupling, where n represents the inverter number, and P... sn Let S represent the output power range of the nth energy storage inverter, x represent the number of branches from the nth energy storage inverter to the common coupling point, i represent the branch number from the nth energy storage inverter to the common coupling point, and S represent the output power range of the nth energy storage inverter. i X represents the capacity of the i-th branch. i R represents the impedance of the i-th branch. i U represents the resistance of the i-th branch. s This refers to the nominal voltage of the AC system. The output power range of an energy storage inverter is influenced by several factors, including the number of energy storage inverters, the output power range of each inverter, and the characteristics of the branches leading to the PCC. Specifically, each energy storage inverter may have multiple branches leading to the PCC, and each branch has its own capacity, impedance, and resistance. These factors collectively determine the actual power range that the energy storage inverter can output to the PCC.
[0065] The output power range of all new energy inverters at the point of common coupling is calculated using the following formula:
[0066]
[0067] Among them, P o This represents the output power range of all new energy inverters at the point of common coupling, where m represents the inverter number and P represents the output power range of all new energy inverters at the point of common coupling. m Let S represent the output power range of the m-th renewable energy inverter, y represent the number of branches from the m-th renewable energy inverter to the common coupling point, j represent the branch number from the m-th renewable energy inverter to the common coupling point, and S represent the branch number from the m-th renewable energy inverter to the common coupling point. j Y represents the capacity of the j-th branch. j R represents the impedance of the j-th branch. j U represents the resistance of the j-th branch. s The nominal voltage for AC systems.
[0068] Furthermore, in this embodiment, the output power range of the nth energy storage inverter is expressed using the following formula:
[0069] P sn =[-P smaxn +P sqn ,Psmaxn -P sqn ]
[0070] Among them, P sn P represents the output power range of the nth energy storage inverter. smaxn P represents the maximum active power output of the nth energy storage inverter. sqn This represents the active power output of the nth energy storage inverter at the moment when inertia support is required.
[0071] Furthermore, in this embodiment, the output power range of the m-th new energy inverter is expressed using the following formula:
[0072] P m =[0,P maxm -P qm ]
[0073] Among them, P m P represents the output power range of the m-th renewable energy inverter. maxm P represents the maximum active power output of the m-th renewable energy inverter. qm This represents the active power output of the m-th renewable energy inverter at the moment when inertia support is required.
[0074] Furthermore, in this embodiment, the preset second algorithm calculates the evaluation inertia of the AC system using the following formula:
[0075]
[0076] Where J represents the assessed inertia of the AC system, P represents the total active power of the AC system, f represents the operating frequency of the AC system, and Δf represents the rate of frequency change of the AC system. When a system fault occurs, the frequency begins to change. By detecting the change in frequency, the total inertia of the AC system can be determined in real time.
[0077] Furthermore, in this embodiment, the preset third algorithm calculates the rotational inertia coefficient of the new energy power plant using the following formula:
[0078]
[0079] Among them, J s The rotational inertia coefficient of the new energy power plant is represented by J, the estimated inertia of the AC system is represented by J, ΔP represents the output active power range of the new energy system, P represents the total active power of the AC system, Δf represents the frequency change rate of the AC system, and Δf0 is the target frequency change rate. Δf0 can be set according to system requirements, with a typical value such as 1Hz / min.
[0080] This invention calculates the rotational inertia coefficient of new energy power plants by separately evaluating the inertia of the new energy system, energy storage system, and AC system, and comprehensively considering the evaluation results of both. This more accurately reflects the dynamic response capability and stability of the entire system. This is of great significance for ensuring that the power grid can quickly restore stability in the face of sudden situations such as load fluctuations and faults, and reducing the risk of system oscillations and power outages. This invention fully considers the actual power capabilities of each new energy inverter and energy storage inverter, determines the actual output power range of the PCC point, and can accurately determine the inertia support capability of new energy power plants. Based on the AC system network conditions and the active power range output by the new energy system and energy storage system, the determined inertia parameters can adapt to various operating modes, efficiently and accurately outputting inertia support, and improving the adaptability of inertia support.
[0081] Example 2
[0082] A rotational inertia optimization system based on new energy power plants.
[0083] The new energy power station includes a new energy system, an energy storage system, and an AC system;
[0084] The optimization system includes:
[0085] New energy system inertia support capability assessment module: Using a preset first algorithm, the total inertia support capability of the new energy system and the energy storage system is assessed to obtain the range of total output active power of the new energy system and the energy storage system.
[0086] The inertia assessment module of the AC system: uses a preset second algorithm to assess the inertia of the AC system and obtain the assessed inertia of the AC system;
[0087] Inertia coefficient calculation module: Using a preset third algorithm, the rotational inertia coefficient of the new energy power plant is obtained based on the range of output total active power and the evaluation inertia of the AC system.
[0088] It should be understood that the specific embodiments described above are merely illustrative or explanatory of the principles of the invention and do not constitute a limitation thereof. Therefore, any modifications, equivalent substitutions, improvements, etc., made without departing from the spirit and scope of the invention should be included within the protection scope of the invention. Furthermore, the appended claims are intended to cover all variations and modifications falling within the scope and boundaries of the appended claims, or equivalent forms of such scope and boundaries.
[0089] The present invention has been described above with reference to embodiments thereof. However, these embodiments are merely illustrative and not intended to limit the scope of the invention. The scope of the invention is defined by the appended claims and their equivalents. Various substitutions and modifications can be made by those skilled in the art without departing from the scope of the invention, and all such substitutions and modifications should fall within the scope of the invention.
[0090] Although embodiments of the present invention have been described in detail, it should be understood that various changes, substitutions, and modifications can be made to the embodiments of the present invention without departing from the spirit and scope of the invention.
[0091] Obviously, the above embodiments are merely illustrative examples for clear explanation and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations here. However, obvious variations or modifications derived therefrom are still within the scope of protection of this invention.
Claims
1. A method for optimizing the rotational inertia of new energy power plants, characterized in that, The new energy power plant includes a new energy system, an energy storage system, and an AC system; the method includes: Using a preset first algorithm, the total inertia support capability of the new energy system and the energy storage system is evaluated to obtain the range of total output active power of the new energy system and the energy storage system. The inertia of the AC system is evaluated using a pre-defined second algorithm to obtain the evaluated inertia of the AC system. Using a pre-defined third algorithm, the rotational inertia coefficient of the new energy power plant is obtained based on the range of total output active power and the evaluation inertia of the AC system. The preset first algorithm calculates the range of total active power output using the following formula: ΔP=P so +P o Where ΔP represents the range of total output active power, P so P represents the output power range of all energy storage inverters at the point of common coupling. o This indicates the output power range of all new energy inverters at the point of common coupling; The preset second algorithm calculates the evaluation inertia of the AC system using the following formula: Where J represents the evaluation inertia of the AC system, P represents the total active power of the AC system, f represents the operating frequency of the AC system, and Δf represents the frequency change rate of the AC system. The preset third algorithm calculates the rotational inertia coefficient of the new energy power plant using the following formula: Among them, J s ΔP represents the rotational inertia coefficient of the new energy power plant, J represents the estimated inertia of the AC system, ΔP represents the output active power range of the new energy system, P represents the total active power of the AC system, Δf represents the frequency change rate of the AC system, and Δf0 is the target frequency change rate.
2. The method according to claim 1, characterized in that: The new energy system includes several energy storage inverters; The energy storage system includes several new energy inverters; The energy storage inverter, the new energy inverter, and the AC system exchange power at a common coupling point.
3. The method according to claim 1, characterized in that, The output power range of all energy storage inverters at the point of common coupling is calculated using the following formula: Among them, P so This represents the output power range of all energy storage inverters at the point of common coupling, where n represents the inverter number, and P... sn Let S represent the output power range of the nth energy storage inverter, x represent the number of branches from the nth energy storage inverter to the common coupling point, i represent the branch number from the nth energy storage inverter to the common coupling point, and S represent the output power range of the nth energy storage inverter. i X represents the capacity of the i-th branch. i R represents the impedance of the i-th branch. i U represents the resistance of the i-th branch. s The nominal voltage for AC systems.
4. The method according to claim 1, characterized in that, The output power range of all new energy inverters at the point of common coupling is calculated using the following formula: Among them, P o This represents the output power range of all new energy inverters at the point of common coupling, where m represents the inverter number and P represents the output power range of all new energy inverters at the point of common coupling. m Let S represent the output power range of the m-th renewable energy inverter, y represent the number of branches from the m-th renewable energy inverter to the common coupling point, j represent the branch number from the m-th renewable energy inverter to the common coupling point, and S represent the branch number from the m-th renewable energy inverter to the common coupling point. j Y represents the capacity of the j-th branch. j R represents the impedance of the j-th branch. j U represents the resistance of the j-th branch. s This refers to the nominal voltage of the AC system.
5. The method according to claim 3, characterized in that, The output power range of the nth energy storage inverter is expressed by the following formula: P sn =[-P smaxn +P sqn ,P smaxn -P sqn ] Among them, P sn P represents the output power range of the nth energy storage inverter. smaxn P represents the maximum active power output of the nth energy storage inverter. sqn This represents the active power output of the nth energy storage inverter at the moment when inertia support is required.
6. The method according to claim 4, characterized in that, The output power range of the m-th renewable energy inverter is expressed by the following formula: P m =[0,P maxm -P qm ] Among them, P m P represents the output power range of the m-th renewable energy inverter. maxm P represents the maximum active power output of the m-th renewable energy inverter. qm This represents the active power output of the m-th renewable energy inverter at the moment when inertia support is required.
7. A rotational inertia optimization system based on new energy power plants, characterized in that, The new energy power station includes a new energy system, an energy storage system, and an AC system; The optimization system includes: New energy system inertia support capability assessment module: Using a preset first algorithm, the total inertia support capability of the new energy system and the energy storage system is assessed to obtain the range of total output active power of the new energy system and the energy storage system. The inertia assessment module of the AC system: uses a preset second algorithm to assess the inertia of the AC system and obtain the assessed inertia of the AC system; Inertia coefficient calculation module: Using a preset third algorithm, the rotational inertia coefficient of the new energy power plant is obtained based on the range of output total active power and the evaluation inertia of the AC system. The preset first algorithm calculates the range of total active power output using the following formula: ΔP=P so +P o Where ΔP represents the range of total output active power, P so P represents the output power range of all energy storage inverters at the point of common coupling. o This indicates the output power range of all new energy inverters at the point of common coupling; The preset second algorithm calculates the evaluation inertia of the AC system using the following formula: Where J represents the evaluation inertia of the AC system, P represents the total active power of the AC system, f represents the operating frequency of the AC system, and Δf represents the frequency change rate of the AC system. The preset third algorithm calculates the rotational inertia coefficient of the new energy power plant using the following formula: Among them, J s ΔP represents the rotational inertia coefficient of the new energy power plant, J represents the estimated inertia of the AC system, ΔP represents the output active power range of the new energy system, P represents the total active power of the AC system, Δf represents the frequency change rate of the AC system, and Δf0 is the target frequency change rate.
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