Inertia response-based new energy grid-connected frequency modulation method and related device

Abstract

The invention discloses a new energy grid-connected frequency modulation method based on inertia response and a related device, and belongs to the technical field of frequency modulation control. According to the method, system power changes in a disturbance process are collected, and an energy conversion mechanism in which inertia participates in the disturbance process is analyzed; establishing a grid-connected frequency modulation model based on inertia response based on an energy conversion mechanism participated by inertia; collecting the frequency deviation of each subsystem in the grid-connected operation process in real time, and when the frequency deviation of each subsystem is input into the grid-connected frequency modulation model based on inertia response and the model is solved, obtaining a grid-connected frequency modulation scheme; and performing frequency modulation on each subsystem through a grid-connected frequency modulation scheme. The method can adapt to different power grid operation conditions and new energy power generation scenes, and stable operation of the power grid can be maintained by adjusting the frequency modulation strategy no matter the power grid with high-proportion new energy access or the condition that the new energy power generation power fluctuation is large.

Description

Technical Field

[0001] The present invention belongs to the technical field of frequency modulation control, and relates to a new energy grid-connected frequency modulation method based on inertia response and a related device. Background Art

[0002] Against the backdrop of energy transformation, renewable energy generation, particularly wind and photovoltaic power generation, is becoming a crucial component of the global energy mix. However, the inherent volatility and intermittency of wind and photovoltaic power generation pose unprecedented challenges to the stable operation of power systems.

[0003] For wind power generation, the output power of wind turbines is closely related to wind speed. The physical property of wind energy being proportional to the cube of wind speed makes wind power generation extremely sensitive to variations in wind speed. Natural wind speed is extremely unstable, influenced by a variety of factors, including geography, climate, and seasons, and exhibits randomness and intermittent characteristics. Artificially controlling wind speed is nearly impossible, resulting in significant variability in wind turbine output power. At high wind speeds, a wind turbine may operate at full capacity, achieving its rated output power. However, at lower or calm wind speeds, the output power of a wind turbine will drop significantly, or even reach zero. This significant fluctuation in output power makes it difficult for wind power generation to provide the stable and reliable power supply that traditional fossil fuel generation can.

[0004] Photovoltaic power generation also faces the problem of volatility. The output power of a photovoltaic array is closely related to the intensity of sunlight and is therefore significantly affected by weather and temperature. On sunny days with ample sunlight, the output power of the photovoltaic array is high; however, on cloudy days, rainy days, or at night, when the intensity of sunlight is reduced, the output power of the photovoltaic array decreases significantly. Furthermore, temperature fluctuations can affect the performance of photovoltaic cells, and thus the output power of photovoltaic power generation. Like wind power generation, the output power of photovoltaic power generation is prone to fluctuations and difficult to maintain stability.

[0005] When large amounts of volatile wind and photovoltaic power generation are integrated into traditional power grids, they introduce significant current surges. These surges can cause grid frequency deviations, impacting the stable operation of the power system. Frequency is a critical parameter for power system operation, and its stability is directly related to the proper functioning of power equipment and the quality of electricity consumed by users. Excessive grid frequency deviations can reduce the efficiency of power equipment and even damage it, impacting user electricity usage.

[0006] Traditional power grid design and operation are primarily based on the stability and predictability of fossil fuel generation. Traditional fossil fuel generation can adapt to load fluctuations by adjusting generator output power, thereby maintaining stable grid operation. However, faced with the volatility and intermittent nature of renewable energy generation, traditional grids are struggling to cope. Therefore, there is an urgent need to develop a frequency regulation method for renewable energy grid integration to meet frequency regulation needs. Summary of the Invention

[0007] The purpose of the present invention is to provide a frequency modulation method and related devices for renewable energy grid connection based on inertia response, so as to solve the technical problems that the frequency modulation schemes in the prior art are difficult to adapt to the complex situation of renewable energy grid connection and the frequency modulation results are not ideal.

[0008] In order to achieve the above object, the present invention adopts the following technical solutions:

[0009] In a first aspect, the present invention provides a new energy grid-connected frequency regulation method based on inertia response, comprising the following steps:

[0010] Collect system power changes during the disturbance process and analyze the energy conversion mechanism involving inertia in the disturbance process;

[0011] Based on the energy conversion mechanism involving inertia, a grid-connected frequency regulation model based on inertia response is established;

[0012] Real-time acquisition of frequency deviations of each subsystem during grid-connected operation; inputting the frequency deviations of each subsystem into a grid-connected frequency regulation model based on inertia response and solving the model to obtain a grid-connected frequency regulation solution;

[0013] The frequency of each subsystem is regulated through the grid-connected frequency regulation scheme.

[0014] Furthermore, the step of collecting system power changes during the disturbance process and analyzing the energy conversion mechanism involving inertia during the disturbance process specifically includes:

[0015] The system power changes during the disturbance process are collected, and the active power change curve, inertia support power change curve, and frequency deviation change curve are drawn respectively.

[0016] The energy conversion process in the active power change curve, inertia support power change curve and frequency deviation change curve is analyzed collaboratively to obtain the energy conversion mechanism involving inertia.

[0017] Furthermore, the energy conversion mechanism involving inertia specifically includes:

[0018] When the disturbance begins, the electromagnetic power increases suddenly to balance the disturbance power, and the energy source is the electromagnetic energy of the generator;

[0019] During the inertia response phase, electromagnetic power increases suddenly, while mechanical power remains unchanged. All forms of inertia provide inertia support power to maintain the balance between active power supply and demand in the system.

[0020] The inertia response and primary frequency modulation work together to provide power to the system. The speed regulator increases mechanical power to reduce the unbalanced power. The inertia support power and the rotor deceleration rate gradually decrease until the mechanical power is balanced with the electromagnetic power and the system frequency reaches the lowest point.

[0021] Furthermore, the energy conversion mechanism based on inertia participation and the step of establishing a grid-connected frequency regulation model based on inertia response specifically include:

[0022] Taking minimizing frequency deviation, maximizing inertia support power and minimizing frequency regulation cost as the objective functions, the model constraints are established and a grid-connected frequency regulation model based on inertia response is constructed.

[0023] The expression of the objective function is:

[0024] f=ω1f1+ω2f2+ω3f3

[0025] Where f is the objective function; f1 represents minimizing the frequency deviation; f2 represents maximizing the inertia support power; f3 represents minimizing the frequency regulation cost; ω1, ω2, and ω3 are all weight coefficients.

[0026] Furthermore, the model constraints include: system power balance constraints, frequency variation range constraints, output constraints of new energy power generation equipment, and inertia response time and capacity constraints.

[0027] Furthermore, the step of collecting frequency deviations of each subsystem in real time during grid-connected operation, inputting the frequency deviations of each subsystem into a grid-connected frequency regulation model based on inertia response and solving the model to obtain a grid-connected frequency regulation solution specifically includes:

[0028] The frequency deviation of the photovoltaic power generation system and the wind power generation system during the grid-connected operation is collected in real time. The frequency deviation is calculated as follows:

[0029] Δf=f re -f N

[0030] Where Δf represents the frequency deviation; f re Indicates the actual measured system frequency; f N Indicates the nominal frequency of the system;

[0031] When the frequency deviation exceeds a preset threshold, grid-connected frequency regulation is triggered;

[0032] The frequency deviation of each subsystem is input into the grid-connected frequency regulation model based on inertia response and the model is solved to obtain the grid-connected frequency regulation scheme.

[0033] Furthermore, after the frequency of each subsystem is modulated through the grid-connected frequency modulation scheme, the frequency modulation results are evaluated by comparing the actual frequency response curve with the expected frequency response curve, and the effectiveness and shortcomings of the grid-connected frequency modulation scheme are analyzed; the grid-connected frequency modulation scheme is adjusted and optimized according to the evaluation results.

[0034] In a second aspect, the present invention provides a new energy grid-connected frequency regulation system based on inertia response, comprising:

[0035] The analysis module is used to collect system power changes during the disturbance process and analyze the energy conversion mechanism involving inertia in the disturbance process;

[0036] Modeling module, used to establish a grid-connected frequency regulation model based on inertia response and energy conversion mechanism based on inertia participation;

[0037] A solution module is used to collect frequency deviations of each subsystem in real time during grid-connected operation, input the frequency deviations of each subsystem into a grid-connected frequency regulation model based on inertia response, solve the model, and obtain a grid-connected frequency regulation solution;

[0038] The frequency modulation module is used to modulate the frequency of each subsystem through the grid-connected frequency modulation scheme.

[0039] In a third aspect, the present invention provides a computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program.

[0040] In a fourth aspect, the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and is characterized in that when the computer program is executed by a processor, the steps of the above method are implemented.

[0041] Compared with the prior art, the present invention has the following beneficial effects:

[0042] The present invention discloses a method and related device for grid-connected frequency regulation of renewable energy based on inertia response. By collecting system power changes during disturbance processes and deeply analyzing the energy conversion mechanism involving inertia, the method can accurately grasp the influence of fluctuations in renewable energy power generation power on grid frequency. The grid-connected frequency regulation model established based on this method can adjust the frequency regulation strategy in real time according to system power changes, effectively suppressing grid frequency fluctuations and keeping the grid frequency within a stable range. By establishing a grid-connected frequency regulation model based on inertia response and collecting and solving the frequency deviations of each subsystem in real time, a reasonable grid-connected frequency regulation scheme is obtained. This scheme can accurately allocate frequency regulation power based on the operating status and frequency deviation of each subsystem, enabling renewable energy power generation equipment to better adapt to the operating requirements of the grid and improve the stability and predictability of its output power. By analyzing and calculating the frequency deviations of each subsystem, the method rationally allocates frequency regulation power, avoiding the waste of frequency regulation resources. At the same time, it fully utilizes the frequency regulation capabilities of the renewable energy power generation equipment itself, reduces dependence on traditional frequency regulation power sources, and reduces frequency regulation costs. The present invention can adapt to different grid operating conditions and renewable energy power generation scenarios. Whether it is a grid with a high proportion of renewable energy access or a situation where the renewable energy power generation power fluctuates greatly, the stable operation of the grid can be maintained by adjusting the frequency regulation strategy. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without paying any creative work.

[0044] Figure 1 is a flow chart of the method of the present invention;

[0045] Figure 2 is a schematic diagram of the system of the present invention;

[0046] Figure 3 Schematic diagram of the power response and energy conversion mechanism of the system of the present invention;

[0047] Figure 4 It is a schematic diagram of the computer device structure of the present invention. DETAILED DESCRIPTION

[0048] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that, unless there is a conflict, the embodiments and features in the embodiments of the present application can be combined with each other.

[0049] The following detailed description is an exemplary description, which is intended to provide further detailed description of the present invention. Unless otherwise indicated, all technical terms used in the present invention have the same meaning as those generally understood by those skilled in the art. The terms used in the present invention are only for describing specific embodiments, and are not intended to limit the exemplary embodiments according to the present invention.

[0050] See also Figure 1 The embodiment of the present invention discloses a new energy grid-connected frequency modulation method based on inertia response, comprising the following steps:

[0051] S1, collects the system power changes during the disturbance process and analyzes the energy conversion mechanism involved in the inertia of the disturbance process;

[0052] Collect the system power changes during the disturbance process and draw the active power change curve, inertia support power change curve and frequency deviation change curve respectively. Take the power shortage disturbance caused by load step increase as an example to illustrate the power response and energy conversion mechanism of the disturbance process. Figure 3 shown.

[0053] Figure 3 In the figure, t0 is the disturbance moment; t1 is the speed regulator action moment; t2 is the frequency minimum point moment. Figure 3 (a) The blue line is the electromagnetic power, and the red line is the mechanical power. Usually, the power change during the speed regulation stage t1 to t2 is approximately linearized. Figure 3 (b) The black solid line is the inertia support power, and the shaded area is the inertia support energy; Figure 3 (c) is the frequency curve of the disturbance process.

[0054] The disturbance process is as follows: At t0+, the synchronous machine with voltage source characteristics and the virtual synchronous machine immediately share the disturbance power, and the electromagnetic power increases suddenly to balance the disturbance power, such as Figure 3 As shown in (a), its energy source is the electromagnetic energy of the generator. During the inertia response phase from t0 to t1, the electromagnetic power increases suddenly, while the mechanical power remains unchanged. All forms of inertia provide inertia support power to maintain the balance between active power supply and demand of the system. In this phase, the RoCoF value is large, and the total inertia support energy is the shaded area E1, as shown in Figure 1. Figure 3 As shown in (b). In the stage t1 to t2, the inertia response and the primary frequency modulation work together to provide power to the system. At t1, the speed regulator acts to increase the mechanical power to reduce the unbalanced power, and the inertia support power and the rotor deceleration rate gradually decrease until the mechanical power and the electromagnetic power are balanced at t2, and the system frequency reaches the lowest point. In this stage, the inertia support energy is the shaded area E2, the energy provided by the primary frequency modulation is the shaded area E3, and the electromagnetic energy that needs to be balanced is E4. In fact, the inertia support energy and the energy provided by the primary frequency modulation together constitute the rectangular area surrounded by the disturbance power in the stage t1 to t2. According to the law of conservation of energy, formula (1) can be obtained:

[0055] E4=E2+E3(1)

[0056] From formula (1), it can be seen that the unbalanced power in the stage t1 to t2 is offset by the inertia support power and the mechanical power generated by the prime mover. The reduction of the RoCoF value in this stage is due to the coordinated frequency modulation of the system inertia response and the primary frequency modulation. When the disturbance occurs to the lowest frequency point, RoCoF is 0, the inertia support power is positive, and energy is released to the system. The total inertia support energy is E1+E2. After time t2, the prime mover continues to generate mechanical power, and the rotor speed returns to near the rated value. During this period, the inertia support power is negative, that is, energy is absorbed from the system, as shown in Figure 3 (b) shown.

[0057] In summary, inertia provides power support for the system during the inertia response stage, buffering the unbalanced power of disturbances. The functional positioning of the system inertia response is to slow down the frequency change speed and buy time for the primary frequency modulation to take effect.

[0058] S2, based on the energy conversion mechanism involving inertia, establishes a grid-connected frequency regulation model based on inertia response;

[0059] With minimizing frequency deviation, maximizing inertia support power, and minimizing frequency regulation cost as the objective functions, and system power balance constraints, frequency variation range constraints, output constraints of renewable energy power generation equipment, and inertia response time and capacity constraints as constraints, a grid-connected frequency regulation model based on inertia response was constructed.

[0060] The expression of the objective function is:

[0061] f=ω1f1+ω2f2+ω3f3

[0062] Where f is the objective function; f1 represents minimizing the frequency deviation; f2 represents maximizing the inertia support power; f3 represents minimizing the frequency regulation cost; ω1, ω2, and ω3 are all weight coefficients.

[0063] The objective function specifically includes the following aspects:

[0064] 1) Minimize frequency deviation: Ensure that the system frequency can quickly and smoothly return to the rated value after a disturbance, thereby maintaining stable operation of the power system. This can be achieved by calculating the sum of squares or absolute values ​​of the system frequency deviations.

[0065] 2) Maximizing inertia support power: During disturbances, fully utilize the system's inertia resources to provide sufficient inertia support power to slow frequency changes and buy time for a frequency adjustment. This can be achieved by optimizing the virtual inertia settings of renewable energy power generation equipment and adjusting the charging and discharging strategies of energy storage systems.

[0066] 3) Minimize FM costs: While ensuring frequency stability, minimize the economic cost of FM operations. This can be achieved by optimizing the allocation of FM power and selecting lower-cost FM resources.

[0067] The constraints specifically include the following aspects:

[0068] 1) System power balance constraint: At any time, the system's generation power and load power must be balanced to ensure stable operation of the power system. This can be achieved by setting a power balance equation.

[0069] 2) Frequency variation range constraint: The system frequency variation must be within the permitted range to avoid damage to power equipment and users. This can be achieved by setting upper and lower frequency limits.

[0070] 3) Output Constraints for New Energy Power Generation Equipment: The output power of new energy power generation equipment is limited by various factors, such as weather conditions and equipment operating status. Therefore, it is necessary to set upper and lower limits for the output power of new energy power generation equipment in the model.

[0071] 4) Inertia response time and capacity constraints: The speed and capacity of inertia response are limited and are affected by factors such as the type of power generation equipment and its operating status. Constraints on inertia response time and capacity need to be set in the model.

[0072] S3, collecting frequency deviations of each subsystem during grid-connected operation in real time, inputting the frequency deviations of each subsystem into a grid-connected frequency regulation model based on inertia response, solving the model, and obtaining a grid-connected frequency regulation solution;

[0073] S301, collecting frequency deviations of the photovoltaic power generation system and the wind power generation system in real time during grid-connected operation. The frequency deviation is calculated as follows:

[0074] Δf=f re -f N

[0075] Where Δf represents the frequency deviation; f re Indicates the actual measured system frequency; f N Indicates the nominal frequency of the system;

[0076] S302, when the frequency deviation exceeds a preset threshold, triggering grid-connected frequency regulation;

[0077] S303 , inputting the frequency deviation of each subsystem into a grid-connected frequency regulation model based on inertia response and solving the model to obtain a grid-connected frequency regulation solution.

[0078] S4, frequency regulation of each subsystem is performed through the grid-connected frequency regulation scheme.

[0079] After frequency regulation of each subsystem through the grid-connected frequency regulation scheme, the frequency regulation results are evaluated by comparing the actual frequency response curve with the expected frequency response curve, and the effectiveness and shortcomings of the grid-connected frequency regulation scheme are analyzed; the grid-connected frequency regulation scheme is adjusted and optimized based on the evaluation results.

[0080] See also Figure 2 The embodiment of the present invention discloses a new energy grid-connected frequency regulation system based on inertia response, including an analysis module, a modeling module, a solution module and a frequency regulation module.

[0081] Among them, the analysis module is used to collect system power changes during the disturbance process and analyze the energy conversion mechanism involving inertia in the disturbance process; the modeling module is used to establish a grid-connected frequency regulation model based on inertia response based on the energy conversion mechanism involving inertia; the solution module is used to collect frequency deviations of each subsystem during the grid-connected operation process in real time, input the frequency deviations of each subsystem into the grid-connected frequency regulation model based on inertia response and solve the model to obtain a grid-connected frequency regulation plan; and the frequency regulation module is used to regulate the frequency of each subsystem according to the grid-connected frequency regulation plan.

[0082] In one embodiment of the present invention, Figure 4 , provides a computer device, which includes a processor and a memory, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or may be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in the computer storage medium to implement the corresponding method flow or corresponding function; the processor described in the embodiment of the present invention can be used for the operation of the new energy grid-connected frequency modulation method based on inertia response.

[0083] The present invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device for storing programs and data. It is understandable that the computer-readable storage medium here can include both built-in storage media in the computer device and, of course, extended storage media supported by the computer device. The computer-readable storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by the processor are also stored in the storage space. These instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory (non-volatile memory), such as at least one disk memory. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the corresponding steps of the new energy grid-connected frequency modulation method based on inertia response in the above embodiment.

[0084] It will be understood by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0085] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0086] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1The function specified in one or more boxes.

[0087] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0088] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered by the scope of protection of the claims of the present invention.

Claims

1. A new energy grid-connected frequency modulation method based on inertia response, characterized in that: The following steps are involved: Collect system power changes during the disturbance process and analyze the energy conversion mechanism involving inertia in the disturbance process; Based on the energy conversion mechanism involving inertia, a grid-connected frequency regulation model based on inertia response is established; Real-time acquisition of frequency deviations of each subsystem during grid-connected operation; inputting the frequency deviations of each subsystem into a grid-connected frequency regulation model based on inertia response and solving the model to obtain a grid-connected frequency regulation solution; The frequency of each subsystem is regulated through the grid-connected frequency regulation scheme.

2. The method for frequency modulation of new energy grid connection based on inertia response according to claim 1, characterized in that: The step of collecting the system power change during the disturbance process and analyzing the energy conversion mechanism involving inertia during the disturbance process specifically includes: The system power changes during the disturbance process are collected, and the active power change curve, inertia support power change curve, and frequency deviation change curve are drawn respectively. The energy conversion process in the active power change curve, inertia support power change curve and frequency deviation change curve is analyzed collaboratively to obtain the energy conversion mechanism involving inertia.

3. The method for frequency modulation of new energy grid connection based on inertia response according to claim 2, characterized in that: The energy conversion mechanism involving inertia specifically includes: When the disturbance begins, the electromagnetic power increases suddenly to balance the disturbance power, and the energy source is the electromagnetic energy of the generator; During the inertia response phase, electromagnetic power increases suddenly, while mechanical power remains unchanged. All forms of inertia provide inertia support power to maintain the balance between active power supply and demand in the system. The inertia response and primary frequency modulation work together to provide power to the system. The speed regulator increases mechanical power to reduce the unbalanced power. The inertia support power and the rotor deceleration rate gradually decrease until the mechanical power is balanced with the electromagnetic power and the system frequency reaches the lowest point.

4. The method for frequency modulation of new energy grid connection based on inertia response according to claim 1, characterized in that: The energy conversion mechanism based on inertia participation and the step of establishing a grid-connected frequency regulation model based on inertia response specifically include: Taking minimizing frequency deviation, maximizing inertia support power and minimizing frequency regulation cost as the objective functions, the model constraints are established and a grid-connected frequency regulation model based on inertia response is constructed. The expression of the objective function is: f=ω1f1+ω2f2+ω3f3 Where f is the objective function; f1 represents minimizing the frequency deviation; f2 represents maximizing the inertia support power; f3 represents minimizing the frequency regulation cost; ω1, ω2, and ω3 are all weight coefficients.

5. The method for frequency modulation of new energy grid connection based on inertia response according to claim 4 is characterized in that: The model constraints include: system power balance constraints, frequency variation range constraints, output constraints of new energy power generation equipment, and inertia response time and capacity constraints.

6. The method for frequency modulation of new energy grid connection based on inertia response according to claim 1, characterized in that: The step of collecting frequency deviations of each subsystem in real time during grid-connected operation, inputting the frequency deviations of each subsystem into a grid-connected frequency regulation model based on inertia response, solving the model, and obtaining a grid-connected frequency regulation solution specifically includes: The frequency deviation of the photovoltaic power generation system and the wind power generation system during the grid-connected operation is collected in real time. The frequency deviation is calculated as follows: Δf=f re -f N Where Δf represents the frequency deviation; f re Indicates the actual measured system frequency; f N Indicates the nominal frequency of the system; When the frequency deviation exceeds a preset threshold, grid-connected frequency regulation is triggered; The frequency deviation of each subsystem is input into the grid-connected frequency regulation model based on inertia response and the model is solved to obtain the grid-connected frequency regulation scheme.

7. The method for frequency modulation of new energy grid connection based on inertia response according to claim 1, characterized in that: After the frequency of each subsystem is modulated through the grid-connected frequency modulation scheme, the frequency modulation results are evaluated by comparing the actual frequency response curve with the expected frequency response curve, and the effectiveness and shortcomings of the grid-connected frequency modulation scheme are analyzed; the grid-connected frequency modulation scheme is adjusted and optimized according to the evaluation results.

8. A new energy grid-connected frequency modulation system based on inertia response, characterized in that: include: The analysis module is used to collect system power changes during the disturbance process and analyze the energy conversion mechanism involving inertia in the disturbance process; Modeling module, used to establish a grid-connected frequency regulation model based on inertia response and energy conversion mechanism based on inertia participation; A solution module is used to collect frequency deviations of each subsystem in real time during grid-connected operation, input the frequency deviations of each subsystem into a grid-connected frequency regulation model based on inertia response, solve the model, and obtain a grid-connected frequency regulation solution; The frequency modulation module is used to modulate the frequency of each subsystem through the grid-connected frequency modulation scheme.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

Images