Photovoltaic frequency modulation control method and system based on auxiliary frequency controller parameter adjustment

Abstract

The application discloses a photovoltaic frequency modulation control method and system based on auxiliary frequency controller parameter adjustment, which comprises the following steps: based on the inverter and the auxiliary frequency controller of the photovoltaic power station, a first frequency response model of the photovoltaic power station is established; according to the first frequency response model, a power balance equation of power sources, wind power, photovoltaic power stations and loads in a power system is adopted to establish a second frequency response model of the power system; a parameter optimization framework is established according to the auxiliary frequency controller of the photovoltaic power station, a target function of the parameter optimization framework is designed by considering the frequency modulation demand of the system; the target function is used to solve the second frequency response model based on an improved pattern search algorithm, and photovoltaic frequency modulation parameters of the auxiliary frequency controller are obtained. According to the demand of system frequency modulation, the controller parameters are dynamically adjusted, the high controllability and fast frequency response capability of the photovoltaic power station based on the inverter grid connection are exerted, and the dynamic frequency response performance of the system is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of photovoltaic power station frequency modulation control, and in particular relates to a photovoltaic frequency modulation control method and system based on auxiliary frequency controller parameter adjustment. Background Art

[0002] With the large-scale integration of renewable energy into the power system, the power system is gradually transitioning to a new type with a high proportion of renewable energy and power electronics. Photovoltaic power generation, a typical example of renewable energy generation, is connected to the grid through inverters, resulting in the decoupling of its active output from the system frequency. This poses challenges to system frequency control, while its power electronics interface offers high controllability and the ability to provide rapid frequency control.

[0003] Existing research on photovoltaic frequency regulation primarily utilizes virtual inertia, virtual droop, and virtual synchronous machine control. However, all of these frequency regulation methods utilize fixed-parameter controllers for frequency control. These fixed-parameter controllers are unable to adapt frequency control to the system's real-time power requirements and cannot meet the increasingly rapid dynamic changes in the power grid. Therefore, further research is needed to dynamically adjust frequency controller parameters based on the system's frequency regulation requirements and power grid dynamics, thereby leveraging the photovoltaic system's rapid frequency response capabilities and improving system frequency performance. Summary of the Invention

[0004] The present invention provides a photovoltaic frequency modulation control method and system based on auxiliary frequency controller parameter adjustment, which is used to solve the technical problem that the existing photovoltaic power station fixed parameter frequency modulation control scheme cannot meet the real-time frequency modulation power demand of the system frequency modulation and the applicability of the frequency modulation parameters when the power system changes dynamically.

[0005] In a first aspect, the present invention provides a photovoltaic frequency modulation control method based on auxiliary frequency controller parameter adjustment, comprising:

[0006] Based on the inverter and auxiliary frequency controller of the photovoltaic power station, the first frequency response model of the photovoltaic power station is established;

[0007] According to the first frequency response model, a second frequency response model of the power system is established by using the power balance equation of the power source, wind power, photovoltaic power station and load power in the power system;

[0008] Establishing a parameter optimization framework based on the photovoltaic auxiliary frequency controller, considering the frequency regulation requirements of the system, and designing the objective function of the parameter optimization framework, wherein the parameter optimization framework includes observation state information and decision variables;

[0009] Based on the improved mode search algorithm, the objective function is used to solve the second frequency response model to obtain the photovoltaic frequency modulation parameters of the auxiliary frequency controller.

[0010] In a second aspect, the present application provides a photovoltaic frequency modulation control system based on auxiliary frequency controller parameter adjustment, comprising:

[0011] A first construction module configured to establish a first frequency response model of the photovoltaic power station based on the inverter and the auxiliary frequency controller of the photovoltaic power station;

[0012] A second construction module configured to establish a second frequency response model of the power system according to the first frequency response model and using a power balance equation of power sources, wind power, photovoltaic power stations and loads in the power system;

[0013] A design module configured to establish a parameter optimization framework according to the auxiliary frequency controller of the photovoltaic power station, design an objective function of the parameter optimization framework considering the frequency modulation demand of the system, and the parameter optimization framework comprises observation state information and decision variables;

[0014] A solution module configured to solve the second frequency response model based on an improved pattern search algorithm and using the objective function to obtain the photovoltaic frequency modulation parameters of the auxiliary frequency controller.

[0015] In a third aspect, an electronic device is provided, comprising at least one processor and a memory connected with the at least one processor in communication, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the steps of the photovoltaic frequency modulation control method based on auxiliary frequency controller parameter adjustment according to any one of the embodiments of the present application.

[0016] In a fourth aspect, the present application further provides a computer readable storage medium having a computer program stored thereon, and the program instructions are executed by a processor to enable the processor to perform the steps of the photovoltaic frequency modulation control method based on auxiliary frequency controller parameter adjustment according to any one of the embodiments of the present application.

[0017] The photovoltaic frequency modulation control method and system based on auxiliary frequency controller parameter adjustment of the present application, based on the inverter and auxiliary frequency controller of the photovoltaic power station, establishes a first frequency response model of the photovoltaic power station, and further establishes a second frequency response model of the power system. The auxiliary frequency control link avoids the decoupling of the active output of the photovoltaic power station and the system frequency, and realizes the frequency support of photovoltaic power; establishes a parameter optimization model for the photovoltaic auxiliary frequency controller, designs observation state information and decision variables, considers the frequency modulation requirements of the system, designs the objective function of the controller parameter optimization model, uses a pattern search algorithm to solve the frequency response optimization model, and designs the frequency controller of the photovoltaic power station as a frequency controller with adjustable parameters according to the frequency modulation requirements, breaking the limitations of traditional fixed parameter controllers and facilitating the improvement of frequency controller performance. The present invention can dynamically adjust the parameters of the photovoltaic power station frequency controller according to the frequency modulation power requirements of the system, which is conducive to meeting the real-time frequency modulation power requirements of the system frequency modulation and the applicability of the frequency modulation parameters when the power system changes dynamically, thereby improving the frequency response characteristics of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following is a brief introduction to the drawings required for use in the description of the embodiments. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0019] Figure 1 A flowchart of a photovoltaic frequency modulation control method based on auxiliary frequency controller parameter adjustment provided by one embodiment of the present invention;

[0020] Figure 2 A system frequency control framework diagram of photovoltaic frequency regulation control based on auxiliary frequency controller parameter adjustment is provided for one embodiment of the present invention;

[0021] Figure 3 A comparison diagram of frequency modulation effects of photovoltaic frequency modulation control based on auxiliary frequency controller parameter adjustment according to a specific embodiment of the present invention;

[0022] Figure 4 A comparison diagram of frequency modulation output of a photovoltaic power station based on photovoltaic frequency modulation control with auxiliary frequency controller parameter adjustment according to a specific embodiment of the present invention;

[0023] Figure 5 A structural block diagram of a photovoltaic frequency regulation control system based on auxiliary frequency controller parameter adjustment provided by one embodiment of the present invention;

[0024] Figure 6 It is a structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0025] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0026] See also Figure 1 , which shows a flow chart of a photovoltaic frequency modulation control method based on auxiliary frequency controller parameter adjustment of the present application.

[0027] like Figure 1 As shown, the photovoltaic frequency modulation control method based on auxiliary frequency controller parameter adjustment specifically includes the following steps:

[0028] Step S101 : establishing a first frequency response model of the photovoltaic power station based on the inverter and the auxiliary frequency controller of the photovoltaic power station.

[0029] In this step, if Figure 2 As shown, the first frequency response model includes the inverter model and the auxiliary frequency controller model of the photovoltaic power station. The expression of the inverter model is:

[0030] ,

[0031] Where, For photovoltaic power stations, is the time constant of the grid-connected inverter of the photovoltaic power station, is the differential operator;

[0032] The expression of the auxiliary frequency controller model is:

[0033] ,

[0034] Where, is the output power change value of the photovoltaic power station during the frequency regulation stage, 、 are the differential coefficient and droop coefficient of the auxiliary frequency controller, is the frequency deviation of the power system, is the time constant of the auxiliary frequency controller, is the frequency variation of the power system.

[0035] Step S102 : Based on the first frequency response model, a second frequency response model of the power system is established by using the power balance equations of the power sources, wind power, photovoltaic power stations and load power in the power system.

[0036] In this step, when the system is running in a steady state, the power output and load power in the system have a dynamic balance relationship as follows:

[0037] ,

[0038] When there is an imbalance between the power generation and load power of each power source in the system, the system frequency will fluctuate. Based on the relationship between the system frequency deviation and the imbalance between the power generation and load power of the system, the expression of the second frequency response model is:

[0039] ,

[0040] Where, is the output power change value of the photovoltaic power station during the frequency regulation stage, is the frequency variation of the power system, is the frequency deviation of the power system, is the load damping coefficient of the power system, is the inertia time constant of the power system, is the change in active power of thermal power plants in the power system, is the change in active power of wind farm in the power system, is the change in active power of the hydropower station in the power system, is the change in load power in the power system.

[0041] Step S103 : establishing a parameter optimization framework based on the photovoltaic auxiliary frequency controller, considering the frequency regulation requirements of the system, and designing the objective function of the parameter optimization framework, wherein the parameter optimization framework includes observation state information and decision variables.

[0042] In this step, the observed state information is the frequency state of the power system and the output value of each power source, which is expressed as:

[0043] ,

[0044] Where, is the output power change value of the photovoltaic power station during the frequency regulation stage, is the frequency deviation of the power system, is the change in active power of thermal power plants in the power system, is the change in active power of wind farm in the power system, is the change in active power of the hydropower station in the power system;

[0045] The decision variables are the parameters of the auxiliary frequency controller, and the expressions are:

[0046] ,

[0047] Where, 、 are the differential coefficient and droop coefficient of the auxiliary frequency controller, is the time constant of the auxiliary frequency controller.

[0048] It should be noted that the objective function is to minimize the frequency deviation value and photovoltaic frequency regulation output cost during the power system frequency regulation process, and the expression is:

[0049] ,

[0050] ,

[0051] ,

[0052] Where, is the objective function of frequency deviation and photovoltaic frequency regulation output cost, is the target related to the frequency deviation of step i, is the total FM step length, is the frequency deviation of the power system, is the reward function weight factor, is the target related to the photovoltaic frequency regulation cost in step i, The unit cost of photovoltaic frequency regulation output.

[0053] Step S104 : Based on the improved pattern search algorithm, the objective function is used to solve the second frequency response model to obtain photovoltaic frequency modulation parameters of the auxiliary frequency controller.

[0054] In this step, by continuously exploring the positive and negative directions of the coordinate axes of each variable of the reference point, we can find the direction that meets the requirements of solving the objective function and find the optimal solution. n The exploration direction of the pattern search algorithm for the optimization problem of variables at the reference point is:

[0055] ,

[0056] Where, is the pattern search matrix, the number of rows in the matrix represents the number of variables, and the number of columns represents the search direction. For the The exploration step size of each variable;

[0057] Dynamically adjust the direction based on the iteration history, give priority to the successful direction, and meet the following requirements:

[0058] ,

[0059] wherein, is the objective function of the current point of the kth iteration, is the objective function of the current point of the kth iteration, is the current point of the kth iteration, is the search direction of the kth iteration, is the step size, is the gradient of the objective function at ; If the new solution explored is better than the initial reference point, the reference point is updated and the next search is performed; otherwise, the coordinate axis direction of the next variable is searched;

[0060] After searching the coordinate axis direction of each variable, the search step size is changed to

[0061] Continue optimization, and dynamically adjust the step size according to the search success rate; if the detection is successful, the step size is increased; if the detection fails, the step size is reduced; When the exploration step size is less than the convergence limit

[0062] , the optimization is ended, and the optimal solution , that is, the photovoltaic frequency modulation parameter of the auxiliary frequency controller, is output.

[0063] In summary, the method of the present application, based on the inverter model and the auxiliary frequency controller model of the photovoltaic power station, establishes a frequency response model of the photovoltaic power station, and realizes the frequency support of the photovoltaic through the auxiliary frequency control link. A parameter optimization model is established for the auxiliary frequency controller of the photovoltaic, the observation state information and the decision variable are designed, and the frequency modulation demand objective function is designed. The frequency response optimization model is solved by using the pattern search algorithm. The adjustable parameter frequency controller of the photovoltaic power station breaks the limitation of the traditional fixed parameter controller, and is conducive to improving the performance of the frequency controller. The present application can dynamically adjust the parameters of the frequency controller of the photovoltaic power station according to the frequency modulation power demand of the system, and is conducive to improving the frequency support capability of the system.

[0064] The present application is verified in the modified IEEE-39 node test system, as shown in Figure 3 is a frequency modulation effect comparison chart of an embodiment of the present application, as shown in Figure 4 is a photovoltaic power station frequency modulation output comparison chart of an embodiment of the present application. As shown in Figure 3 , Figure 4 It can be known that the photovoltaic frequency modulation control method based on the parameter adjustment of the auxiliary frequency controller proposed in the present application has more photovoltaic frequency modulation output and better system frequency response performance compared with the traditional fixed parameter frequency control method.

[0065] Please refer to Figure 5 ​, which shows a structural block diagram of a photovoltaic frequency regulation control system based on auxiliary frequency controller parameter adjustment.

[0066] like Figure 5 As shown, the photovoltaic frequency modulation control system 200 includes a first construction module 210 , a second construction module 220 , a design module 230 and a solution module 240 .

[0067] Among them, the first construction module 210 is configured to establish a first frequency response model of the photovoltaic power station based on the inverter and auxiliary frequency controller of the photovoltaic power station; the second construction module 220 is configured to establish a second frequency response model of the power system based on the first frequency response model and using the power balance equation of the power source, wind power, photovoltaic power station and load power in the power system; the design module 230 is configured to establish a parameter optimization framework based on the photovoltaic auxiliary frequency controller, consider the frequency regulation requirements of the system, and design the objective function of the parameter optimization framework, wherein the parameter optimization framework includes observation state information and decision variables; the solution module 240 is configured to solve the second frequency response model based on the improved pattern search algorithm and use the objective function to obtain the photovoltaic frequency regulation parameters of the auxiliary frequency controller.

[0068] It should be understood that Figure 5 Modules and references documented in Figure 1 Therefore, the operations and features described above for the method and the corresponding technical effects also apply to Figure 5 The modules in it will not be described in detail here.

[0069] In other embodiments, embodiments of the present invention further provide a computer-readable storage medium having a computer program stored thereon, wherein when the program instructions are executed by a processor, the processor is caused to execute the photovoltaic frequency modulation control method based on auxiliary frequency controller parameter adjustment in any of the above method embodiments;

[0070] As an embodiment, the computer-readable storage medium of the present invention stores computer-executable instructions, and the computer-executable instructions are configured as follows:

[0071] Based on the inverter and auxiliary frequency controller of the photovoltaic power station, the first frequency response model of the photovoltaic power station is established;

[0072] According to the first frequency response model, a second frequency response model of the power system is established by using the power balance equation of the power source, wind power, photovoltaic power station and load power in the power system;

[0073] Establishing a parameter optimization framework based on the photovoltaic auxiliary frequency controller, considering the frequency regulation requirements of the system, and designing the objective function of the parameter optimization framework, wherein the parameter optimization framework includes observation state information and decision variables;

[0074] Based on the improved mode search algorithm, the objective function is used to solve the second frequency response model to obtain the photovoltaic frequency modulation parameters of the auxiliary frequency controller.

[0075] The computer-readable storage medium may include a program storage area and a data storage area. The program storage area may store an operating system and application programs required for at least one function; the data storage area may store data generated based on the use of the photovoltaic frequency regulation control system based on auxiliary frequency controller parameter adjustment, etc. Furthermore, the computer-readable storage medium may include high-speed random access memory and may also include storage, such as at least one disk storage device, flash memory device, or other non-volatile solid-state storage device. In some embodiments, the computer-readable storage medium may optionally include storage remote from the processor. Such remote storage may be connected to the photovoltaic frequency regulation control system based on auxiliary frequency controller parameter adjustment via a network. Examples of such networks include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0076] Figure 6 Schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. Figure 6 As shown, the device includes: a processor 310 and a memory 320. The electronic device may also include: an input device 330 and an output device 340. The processor 310, the memory 320, the input device 330 and the output device 340 may be connected via a bus or other means. Figure 6 The example uses a bus connection. Memory 320 is the aforementioned computer-readable storage medium. Processor 310 executes the various server functional applications and data processing by running the non-volatile software programs, instructions, and modules stored in memory 320, thereby implementing the photovoltaic frequency regulation control method based on auxiliary frequency controller parameter adjustment described in the aforementioned method embodiment. Input device 330 can receive input digital or character information and generate key signal input related to user settings and function control of the photovoltaic frequency regulation control system based on auxiliary frequency controller parameter adjustment. Output device 340 can include a display device such as a display screen.

[0077] The electronic device can execute the method provided by the embodiment of the present invention, and has the functional modules and beneficial effects corresponding to the execution method. For technical details not fully described in this embodiment, please refer to the method provided by the embodiment of the present invention.

[0078] As an embodiment, the electronic device is applied to a photovoltaic frequency regulation control system based on auxiliary frequency controller parameter adjustment, and is used for a client, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to:

[0079] Based on the inverter and auxiliary frequency controller of the photovoltaic power station, a first frequency response model of the photovoltaic power station is established;

[0080] According to the first frequency response model, a second frequency response model of the power system is established by using the power balance equation of the power source, wind power, photovoltaic power station and load power in the power system;

[0081] Establishing a parameter optimization framework based on the photovoltaic auxiliary frequency controller, considering the frequency regulation requirements of the system, and designing the objective function of the parameter optimization framework, wherein the parameter optimization framework includes observation state information and decision variables;

[0082] Based on the improved mode search algorithm, the objective function is used to solve the second frequency response model to obtain the photovoltaic frequency modulation parameters of the auxiliary frequency controller.

[0083] Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented using software plus a necessary general-purpose hardware platform, or of course, hardware. Based on this understanding, the essence of the above technical solution, or the portion that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, or an optical disk, and includes a number of instructions for causing a computer device (such as a personal computer, server, or network device) to execute the methods of each embodiment or certain portions of the embodiments.

[0084] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A photovoltaic frequency modulation control method based on auxiliary frequency controller parameter adjustment, characterized in that: include: Based on the inverter and auxiliary frequency controller of the photovoltaic power station, a first frequency response model of the photovoltaic power station is established; According to the first frequency response model, a second frequency response model of the power system is established by using the power balance equation of the power source, wind power, photovoltaic power station and load power in the power system; Establishing a parameter optimization framework based on the photovoltaic auxiliary frequency controller, considering the frequency regulation requirements of the system, and designing the objective function of the parameter optimization framework, wherein the parameter optimization framework includes observation state information and decision variables; Based on the improved pattern search algorithm, the objective function is used to solve the second frequency response model to obtain the photovoltaic frequency modulation parameters of the auxiliary frequency controller, wherein the improved pattern search algorithm is used to solve the second frequency response model to obtain the photovoltaic frequency modulation parameters of the auxiliary frequency controller includes: By continuously exploring the positive and negative directions of the coordinate axes of the variables at the reference point, we can find the direction that meets the requirements of solving the objective function and find the optimal solution. n The exploration direction of the pattern search algorithm for the optimization problem of variables at the reference point is: ， Where, is the pattern search matrix, the number of rows in the matrix represents the number of variables, and the number of columns represents the search direction. For the The exploration step size of each variable; Dynamically adjust the direction based on the iteration history, give priority to the successful direction, and meet the following requirements: ， Where, For the The objective function of the current point of the iteration, For the The current point of the iteration, is the search direction of the kth iteration, is the step length, The objective function is The gradient at If the new solution explored is better than the initial reference point, the reference point is updated and the next search is carried out; otherwise, the coordinate axis direction of the next variable is searched; After searching the coordinate axis directions of each variable, change the search step size to Continue to search for the optimal solution and dynamically adjust the step size based on the search success rate. If the detection is successful, increase the step size; if it fails, reduce the step size. When the exploration step size is less than the convergence limit , the optimization ends and the optimal solution is output , which is the photovoltaic frequency regulation parameter of the auxiliary frequency controller.

2. A photovoltaic frequency modulation control method based on auxiliary frequency controller parameter adjustment according to claim 1, characterized in that: The first frequency response model includes an inverter model and an auxiliary frequency controller model of the photovoltaic power station. The expression of the inverter model is: ， Where, For photovoltaic power stations, is the time constant of the grid-connected inverter of the photovoltaic power station, is the differential operator; The expression of the auxiliary frequency controller model is: ， Where, is the output power change value of the photovoltaic power station during the frequency regulation stage, 、 are the differential coefficient and droop coefficient of the auxiliary frequency controller, is the frequency deviation of the power system, is the time constant of the auxiliary frequency controller, is the frequency variation of the power system.

3. The photovoltaic frequency modulation control method based on auxiliary frequency controller parameter adjustment according to claim 1, characterized in that: The expression of the second frequency response model is: ， Where, is the output power change value of the photovoltaic power station during the frequency regulation stage, is the frequency variation of the power system, is the frequency deviation of the power system, is the load damping coefficient of the power system, is the inertia time constant of the power system, is the change in active power of thermal power plants in the power system, is the change in active power of wind farm in the power system, is the change in active power of the hydropower station in the power system, is the change in load power in the power system.

4. A photovoltaic frequency modulation control method based on auxiliary frequency controller parameter adjustment according to claim 1, characterized in that: The observed state information is the frequency state of the power system and the output value of each power source, which is expressed as: ， Where, is the output power change value of the photovoltaic power station during the frequency regulation stage, is the frequency deviation of the power system, is the change in active power of thermal power plants in the power system, is the change in active power of wind farm in the power system, is the change in active power of the hydropower station in the power system; The decision variables are the parameters of the auxiliary frequency controller, and the expressions are: ， Where, 、 are the differential coefficient and droop coefficient of the auxiliary frequency controller, is the time constant of the auxiliary frequency controller.

5. The photovoltaic frequency modulation control method based on auxiliary frequency controller parameter adjustment according to claim 1, characterized in that: The objective function is to minimize the frequency deviation value and photovoltaic frequency regulation output cost during the power system frequency regulation process, and the expression is: ， ， ， Where, is the objective function of frequency deviation and photovoltaic frequency regulation output cost, is the target related to the frequency deviation of step i, is the total FM step length, is the frequency deviation of the power system, is the reward function weight factor, is the target related to the photovoltaic frequency regulation cost in step i, The unit cost of photovoltaic frequency regulation output.

6. A photovoltaic frequency modulation control system based on auxiliary frequency controller parameter adjustment, characterized in that: include: A first building module is configured to establish a first frequency response model of the photovoltaic power station based on an inverter and an auxiliary frequency controller of the photovoltaic power station; a second building module configured to establish a second frequency response model of the power system based on the first frequency response model and using a power balance equation of power sources, wind power, photovoltaic power stations, and load power within the power system; A design module is configured to establish a parameter optimization framework based on the photovoltaic auxiliary frequency controller, consider the frequency regulation requirements of the system, and design an objective function of the parameter optimization framework, wherein the parameter optimization framework includes observation state information and decision variables; The solving module is configured to solve the second frequency response model based on the improved pattern search algorithm and the objective function to obtain the photovoltaic frequency modulation parameters of the auxiliary frequency controller, wherein the solving the second frequency response model based on the improved pattern search algorithm and the objective function to obtain the photovoltaic frequency modulation parameters of the auxiliary frequency controller includes: By continuously exploring the positive and negative directions of the coordinate axes of the variables at the reference point, we can find the direction that meets the requirements of solving the objective function and find the optimal solution. n The exploration direction of the pattern search algorithm for the optimization problem of variables at the reference point is: ， Where, is the pattern search matrix, the number of rows in the matrix represents the number of variables, and the number of columns represents the search direction. For the The exploration step size of each variable; Dynamically adjust the direction based on the iteration history, give priority to the successful direction, and meet the following requirements: ， Where, For the The objective function of the current point of the iteration, For the The current point of the iteration, is the search direction of the kth iteration, is the step length, The objective function is The gradient at If the new solution explored is better than the initial reference point, the reference point is updated and the next search is carried out; otherwise, the coordinate axis direction of the next variable is searched; After searching the coordinate axis directions of each variable, change the search step size to Continue to search for the optimal solution and dynamically adjust the step size based on the search success rate. If the detection is successful, increase the step size; if it fails, reduce the step size. When the exploration step size is less than the convergence limit , the optimization ends and the optimal solution is output , which is the photovoltaic frequency regulation parameter of the auxiliary frequency controller.

7. An electronic device, characterized in that: include: At least one processor, and a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.

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