A primary frequency regulation command calculation method, system, electronic device and medium considering the fluctuations of wind and light during the frequency modulation process

Abstract

The present invention provides a primary frequency regulation command calculation method, system, electronic device and medium considering the fluctuations of wind and light during the frequency regulation process, belonging to the technical field of power system frequency stability control, and comprising the following steps: Step S1, establish a control architecture and a primary frequency regulation command calculation method for a new energy power station integrating wind energy storage and photovoltaic energy storage; Step S2, establish a primary frequency regulation command calculation method considering the fluctuations of wind and light during the frequency regulation process; Step S3, perform dynamic response modeling on the wind power, photovoltaic power and energy storage modules, and convert them into a discretized model in the time domain according to the finite difference method. Combining the primary frequency regulation command calculation method in Step S2, obtain the grid-connected point power response considering the fluctuations of wind and light during the frequency regulation process. The present invention can achieve the expected effect of the grid-connected point power response under different wind and light resources, help the new energy power station effectively cope with the power shortage in the power system under various wind and light scenarios, and improve the frequency support ability of the new energy power station.

Description

Technical Field

[0001] The present invention relates to the technical field of power system frequency stability control, and in particular to a primary frequency modulation command calculation method, system, electronic device and medium considering wind-solar fluctuations during the frequency modulation process. Background Art

[0002] For new energy power stations including wind power, photovoltaic power and energy storage, when facing frequency disturbances, the power increment is usually calculated according to the primary frequency modulation method of traditional synchronous units, ignoring the wind-solar fluctuations during the frequency modulation process. As a result, the actual power increment at the grid connection point cannot achieve the expected effect. Therefore, the frequency modulation command generation method considering wind-solar fluctuations during the frequency modulation process is still worthy of research.

[0003] Therefore, it is necessary to provide a primary frequency modulation command calculation method, system, electronic device and medium considering wind-solar fluctuations during the frequency modulation process to solve the above problems. Summary of the Invention

[0004] The purpose of the present invention is to provide a primary frequency modulation command calculation method, system, electronic device and medium considering wind-solar fluctuations during the frequency modulation process, which can achieve the expected effect of the power response at the grid connection point under different wind-solar resources, help new energy power stations effectively cope with the power shortage in the power system under various wind-solar scenarios, and improve the frequency support ability of new energy power stations.

[0005] To achieve the above object, the present invention provides a primary frequency modulation command calculation method considering wind-solar fluctuations during the frequency modulation process, including the following steps:

[0006] Step S1: Establish a control architecture and a primary frequency modulation command calculation method for a wind-solar energy storage new energy power station;

[0007] Step S2: Establish a primary frequency modulation command calculation method considering wind-solar fluctuations during the frequency modulation process;

[0008] Step S3: Perform dynamic response modeling on the wind power, photovoltaic power, and energy storage modules, and convert them into a discretized model in the time domain according to the finite difference method. Combine with the primary frequency modulation command calculation method in Step S2 to obtain the power response at the grid connection point considering wind-solar fluctuations during the frequency modulation process.

[0009] Preferably, in Step S1, the control architecture of the wind-solar energy storage new energy power station is that the wind-solar energy storage new energy power station calculates the total theoretical power increment of the wind-solar energy storage new energy power station according to the measured change in the grid connection point frequency, and combines with the initial AGC command of the wind-solar energy storage new energy power station to send the primary frequency modulation command to the wind power, photovoltaic power, and energy storage modules.

[0010] Preferably, in Step S1, the primary frequency modulation command calculation method is as follows:

[0011]

[0012] Among them, is the total theoretical power increment of the new energy power station integrating wind, light and energy storage; K is the primary frequency regulation droop coefficient of the new energy power station integrating wind, light and energy storage; Δf is the frequency change at the grid connection point of the new energy power station integrating wind, light and energy storage; R ∑ is the total adjustable power margin of the new energy power station integrating wind, light and energy storage; is the total power command of the new energy power station integrating wind, light and energy storage considering the power increment; is the initial AGC command of the new energy power station integrating wind, light and energy storage;

[0013] According to the primary frequency regulation command distribution logic of the new energy power station integrating wind, light and energy storage, the total power command of the new energy power station integrating wind, light and energy storage considering the power increment is distributed to the wind power, photovoltaic and energy storage modules:

[0014]

[0015] Among them, are the total power commands distributed to the energy storage, photovoltaic and wind power modules respectively.

[0016] Preferably, distributing the total power command of the new energy power station integrating wind, light and energy storage considering the power increment to the wind power, photovoltaic and energy storage modules includes three distribution cases:

[0017] Distribution case 1:

[0018] When the adjustable power margin of the energy storage is sufficient, the total theoretical power increment of the new energy power station integrating wind, light and energy storage is fully responded by the energy storage module, and the total power command of the energy storage module is:

[0019]

[0020] Among them, is the initial AGC command of the energy storage module;

[0021] Distribution case 2:

[0022] When the adjustable power margin of the energy storage is insufficient and the adjustable power margin of the photovoltaic is sufficient, the total theoretical power increment of the new energy power station integrating wind, light and energy storage is fully responded by the energy storage module and the photovoltaic module, and the total power commands of the energy storage module and the photovoltaic module are respectively:

[0023]

[0024] Among them, R bess is the adjustable power margin of the energy storage; is the initial AGC command of the photovoltaic module;

[0025] Distribution case 3:

[0026] When the adjustable margins of both the energy storage power and the photovoltaic power are insufficient, the total theoretical power increment of the new energy power station with wind, light, and energy storage is jointly responded to by the energy storage module, the photovoltaic module, and the wind power module. The total power commands of the energy storage module, the photovoltaic module, and the wind power module are respectively:

[0027]

[0028] Among them, R pv is the adjustable margin of the photovoltaic power; is the initial AGC command of the wind power module; P windmax is the maximum power that the wind power can generate.

[0029] Preferably, in step S2, considering the calculation of the primary frequency modulation command for the fluctuations of wind and light during the frequency modulation process, the total power command is completely determined by the frequency change amount and the wind and light power fluctuation amounts:

[0030]

[0031] In the formula, ΔP pv,t , ΔP wind,t are respectively the change amounts of the power of the photovoltaic and the wind power at time t relative to the initial AGC command power;

[0032] When the adjustable margin of the energy storage power responds to the total theoretical power increment but does not fully respond to the wind and light power fluctuation amounts, the total power command of the energy storage module is:

[0033]

[0034] Preferably, in step S3, dynamic response modeling is performed on the wind power, photovoltaic, and energy storage modules. The specific operations are as follows:

[0035]

[0036] Among them, are respectively the response powers of the energy storage, photovoltaic, and wind power modules; T bess , T pv , T wind are respectively the response time constants of the energy storage, photovoltaic, and wind power modules.

[0037] Preferably, in step S3, according to the finite difference method, it is transformed into a discretized model in the time domain, and combined with the primary frequency modulation command method, the grid-connected point power response considering the wind and light fluctuations during the frequency modulation process is obtained. The specific operations are as follows:

[0038]

[0039] Among them, are respectively the response powers of the energy storage, photovoltaic, and wind power modules at time tn; They are the response powers of the energy storage, photovoltaic, and wind power modules at time \(t_{n - 1}\), respectively. They are the primary frequency regulation commands of the energy storage, photovoltaic, and wind power modules considering the fluctuations of wind and light at time \(t_{n - 1}\); \(d_n\) is the differential step size. It is the power response at the grid connection point.

[0040] A primary frequency regulation command calculation system considering the fluctuations of wind and light during the frequency regulation process, comprising:

[0041] A primary frequency regulation total command generation module at the grid connection point, which is used to generate the total theoretical power command increment and the total frequency regulation command at the grid connection point according to the frequency change.

[0042] An energy storage, photovoltaic, and wind power primary frequency regulation command distribution module, which is used to distribute the total frequency regulation command at the grid connection point to the energy storage, photovoltaic, and wind power modules according to the adjustable power margin order of each power source. When the adjustable power margin of the energy storage is sufficient, considering the fluctuations of wind and light, calculate the new primary frequency regulation commands of the energy storage, photovoltaic, and wind power.

[0043] A power response module, which is used to perform dynamic response modeling on the wind power, photovoltaic, and energy storage modules, and transform them into a discretized model in the time domain according to the finite difference method, and perform responses according to the calculated primary frequency regulation commands of each power source to obtain the power response at the grid connection point.

[0044] A computer device, comprising: a memory and a processor; the memory stores a computer program, and when the processor executes the computer program, it implements the steps of the above-mentioned primary frequency regulation command calculation method considering the fluctuations of wind and light during the frequency regulation process.

[0045] A computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the steps of the above-mentioned primary frequency regulation command calculation method considering the fluctuations of wind and light during the frequency regulation process.

[0046] Therefore, the present invention adopts the above-mentioned primary frequency regulation command calculation method, system, electronic device, and medium considering the fluctuations of wind and light during the frequency regulation process, and the beneficial technical effects are as follows:

[0047] (1) It can effectively cope with the uncertainties of wind and light during the frequency regulation process;

[0048] (2) Improve the output stability and accuracy of the new energy power station with wind, light, and energy storage, and enhance the frequency support ability of the new energy power station. Description of the Drawings

[0049] Figure 1 It is a schematic diagram of the control architecture, command distribution, and response object of the present invention;

[0050] Figure 2 It is the measured power diagram of each power source of a new energy power station when the primary frequency regulation command does not consider the fluctuations of wind and light; among them,Figure 2 In (a) is the measured wind power graph during the primary frequency regulation process; Figure 2 In (b) is the measured photovoltaic power graph during the primary frequency regulation process; Figure 2 In (c) is the measured energy storage power graph during the primary frequency regulation process; Figure 2 In (d) is the measured grid connection point power graph during the primary frequency regulation process;

[0051] Figure 3 It is the comparison graph of energy storage power response under the boundary conditions of Embodiment 1;

[0052] Figure 4 It is the comparison graph of grid connection point power response under the boundary conditions of Embodiment 1;

[0053] Figure 5 It is the comparison graph of frequency change amount under the boundary conditions of Embodiment 1;

[0054] Figure 6 It is the comparison graph of energy storage power response under the boundary conditions of Embodiment 1;

[0055] Figure 7 It is the structural schematic diagram of a primary frequency regulation command calculation system of the present invention considering the fluctuations of wind and light during the frequency regulation process. Specific implementation manners

[0056] The technical solutions of the present invention will be further described below through the accompanying drawings and embodiments.

[0057] Unless otherwise defined, the technical terms or scientific terms used in the present invention should have the ordinary meanings understood by those of ordinary skill in the field to which the present invention belongs.

[0058] Embodiment 1

[0059] The present invention provides a primary frequency regulation command calculation method considering the fluctuations of wind and light during the frequency regulation process, including the following steps:

[0060] Step S1, establish a control architecture and a primary frequency regulation command calculation method for a new energy power station with wind, light and energy storage;

[0061] As Figure 1 shown, the control architecture of the new energy power station with wind, light and energy storage is that the new energy power station with wind, light and energy storage calculates the total theoretical power increment of the new energy power station with wind, light and energy storage according to the measured frequency change amount at the grid connection point, and combines the initial AGC command of the new energy power station with wind, light and energy storage to send the primary frequency regulation command to the wind power, photovoltaic and energy storage modules.

[0062] The primary frequency regulation command calculation method is as follows, ignoring the influence of the frequency regulation dead zone on this method:

[0063]

[0064] Among them, is the total theoretical power increment of the new energy power station integrating wind, light and energy storage; K is the primary frequency regulation droop coefficient of the new energy power station integrating wind, light and energy storage; Δf is the frequency change at the grid connection point of the new energy power station integrating wind, light and energy storage; R∑ is the total adjustable power margin of the new energy power station integrating wind, light and energy storage; is the total power command of the new energy power station integrating wind, light and energy storage considering the power increment; is the initial AGC command of the new energy power station integrating wind, light and energy storage;

[0065] According to the primary frequency regulation command distribution logic of the new energy power station integrating wind, light and energy storage, the total power command of the new energy power station integrating wind, light and energy storage considering the power increment is distributed to the wind power, photovoltaic and energy storage modules:

[0066]

[0067] Among them, are the total power commands distributed to the energy storage, photovoltaic and wind power modules respectively.

[0068] Distributing the total power command of the new energy power station integrating wind, light and energy storage considering the power increment to the wind power, photovoltaic and energy storage modules includes three distribution cases:

[0069] Distribution case 1:

[0070] When the adjustable power margin of the energy storage is sufficient, the total theoretical power increment of the new energy power station integrating wind, light and energy storage is fully responded by the energy storage module, and the total power command of the energy storage module is:

[0071]

[0072] Among them, is the initial AGC command of the energy storage module;

[0073] Distribution case 2:

[0074] When the adjustable power margin of the energy storage is insufficient and the adjustable power margin of the photovoltaic is sufficient, the total theoretical power increment of the new energy power station integrating wind, light and energy storage is fully responded by the energy storage module and the photovoltaic module, and the total power commands of the energy storage module and the photovoltaic module are respectively:

[0075]

[0076]

[0077] Among them, R bess is the adjustable power margin of the energy storage; is the initial AGC command of the photovoltaic module;

[0078] Distribution case 3:

[0079] When the adjustable margins of both the energy storage power and the photovoltaic power are insufficient, the total theoretical power increment of the new energy field station with wind, light, and energy storage is jointly responded to by the energy storage module, the photovoltaic module, and the wind power module. The total power commands of the energy storage module, the photovoltaic module, and the wind power module are respectively:

[0080]

[0081] Among them, R pv is the adjustable margin of the photovoltaic power; is the initial AGC command of the wind power module; P windmax is the maximum power that the wind power can generate.

[0082] Step S2: Establish a calculation method for the primary frequency modulation command considering the fluctuations of wind and light during the frequency modulation process;

[0083] The total power command is completely determined by the frequency change amount and the fluctuations of wind and light power:

[0084]

[0085] In the formula, ΔP pv,t and ΔP wind,t are respectively the change amounts of the power of the photovoltaic and the wind power at time t relative to the initial AGC command power;

[0086] When the adjustable margin of the energy storage power responds to the total theoretical power increment but does not fully respond to the fluctuations of wind and light power, the total power command of the energy storage module is:

[0087]

[0088] Step S3: Conduct dynamic response modeling on the wind power, photovoltaic, and energy storage modules, and convert it into a discretized model in the time domain according to the finite difference method. Combining with the primary frequency modulation command calculation method in Step S2, obtain the grid connection point power response considering the fluctuations of wind and light during the frequency modulation process.

[0089] Conduct dynamic response modeling on the wind power, photovoltaic, and energy storage modules. The specific operations are as follows:

[0090]

[0091] Among them, are respectively the response powers of the energy storage, photovoltaic, and wind power modules; T bess 、T pv 、T wind are respectively the response time constants of the energy storage, photovoltaic, and wind power modules.

[0092] Convert it into a discretized model in the time domain according to the finite difference method. Combining with the primary frequency modulation command method, obtain the grid connection point power response considering the fluctuations of wind and light during the frequency modulation process. The specific operations are as follows:

[0093]

[0094] Among them, are the response powers of the energy storage, photovoltaic, and wind power modules at time tn, respectively; are the response powers of the energy storage, photovoltaic, and wind power modules at time tn-1, respectively; are the primary frequency regulation commands considering the fluctuations of wind and light of the energy storage, photovoltaic, and wind power modules at time tn-1, respectively; dn is the differential step size; is the power response at the grid connection point.

[0095] The present invention will be further described below through simulation experiments.

[0096] The boundary conditions are set as follows: the rated capacity of the power station is 605MW, the droop coefficient is 33.33, the response time constant of the energy storage is 0.1s, the steady-state AGC commands of wind power and photovoltaic are 106MW and 64MW respectively when in steady state, and the adjustable power margin of the energy storage is sufficient. Two power deficit scenarios are set:

[0097] Scenario 1: A negative frequency step of 0.1Hz.

[0098] Scenario 2: A power disturbance of -40MW, the external power grid is equivalent to a synchronous machine, and the fluctuations of wind and light power are the same as in Scenario 1.

[0099] In Scenario 1 with a negative frequency step of 0.1Hz, the total theoretical power increment is 40.3MW. Figure 2 are the power change situations of wind power, photovoltaic, energy storage, and the grid connection point without considering the fluctuations of wind and light. It can be seen that the actual power increment at the grid connection point is affected by the fluctuations of wind and light and cannot reach the expected effect. Figure 3 and Figure 4 are the comparison of the power responses of the energy storage and the grid connection point under the calculation method of the primary frequency regulation command considering the fluctuations of wind and light during the frequency regulation process. It can be seen that the energy storage undertakes the fluctuations of wind and light power, and the power increment at the grid connection point can well respond to the frequency change.

[0100] In Scenario 2 with a power disturbance of -40MW, Figure 5 and Figure 6 are the comparison diagram of the frequency change amount and the comparison diagram of the energy storage power response under this disturbance respectively. It can be seen that under the calculation method of the primary frequency regulation command considering the fluctuations of wind and light during the primary frequency regulation process, the extreme frequency point has risen by 0.007Hz, and the steady-state frequency has risen by 0.03Hz, which can better improve the system frequency.

[0101] Embodiment 2

[0102] As Figure 7 shown, a primary frequency regulation command calculation system considering the fluctuations of wind and light during the frequency regulation process includes:

[0103] The primary frequency regulation grid connection point total frequency regulation command generation module is used to generate the total theoretical power command increment and the total frequency regulation command at the grid connection point according to the frequency change;

[0104] The energy storage, photovoltaic, and wind power primary frequency regulation command distribution module is used to distribute the total frequency regulation command at the grid connection point to the energy storage, photovoltaic, and wind power modules according to the adjustable power margin sequence of each power source. When the adjustable power margin of the energy storage is sufficient, considering the fluctuations of wind and light, calculate the new primary frequency regulation commands for energy storage, photovoltaic, and wind power;

[0105] The power response module is used to perform dynamic response modeling on the wind power, photovoltaic, and energy storage modules, and transform it into a discretized model in the time domain according to the finite difference method, and perform responses according to the calculated primary frequency regulation commands of each power source to obtain the power response at the grid connection point.

[0106] If the above functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. And the aforementioned storage medium includes: USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical disks, etc., which can store program codes.

[0107] The logic and / or steps represented in the flowchart or described in other ways herein, for example, can be considered as a definite sequence list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch instructions from the instruction execution system, apparatus, or device and execute the instructions), or used in combination with these instruction execution systems, apparatus, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device.

[0108] More specific examples (nonexhaustive list) of computer-readable media include the following: electrical connections (electronic devices) having one or more wirings, portable computer disk cartridges (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber devices, and portable compact disc read-only memory (CDROM). Additionally, the computer-readable media can even be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpretation, or otherwise processing as appropriate, and then storing it in a computer memory.

[0109] It should be noted that the content not elaborated in detail in the present invention is prior art and well-known to those skilled in the art.

[0110] Therefore, by adopting the above primary frequency modulation command calculation method, system, electronic device, and medium that consider the fluctuations of wind and light during the frequency modulation process, the present invention can achieve the expected power response at the grid connection point under different wind and light resources, help new energy power stations effectively cope with the power shortage in the power system under various wind and light scenarios, and improve the frequency support ability of new energy power stations.

[0111] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that they can still modify or equivalently replace the technical solutions of the present invention, and these modifications or equivalent replacements cannot make the modified technical solutions deviate from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for calculating a frequency modulation instruction taking into account wind and solar fluctuations during frequency modulation, characterized in that: The following steps are involved: Step S1, establishing a control architecture and a primary frequency modulation command calculation method for a wind, solar, energy storage and new energy station; Step S2, establishing a frequency modulation instruction calculation method that takes into account wind and solar fluctuations during the frequency modulation process; Step S3, dynamically modeling the wind power, photovoltaic, and energy storage modules, and converting them into a discretized model in the time domain according to the finite difference method, and combining the primary frequency modulation command calculation method in step S2 to obtain the grid connection point power response taking into account the wind and solar fluctuations during the frequency modulation process; In step S2, a frequency modulation instruction is calculated considering the fluctuation of wind and solar power during the frequency modulation process. The total power instruction is completely determined by the frequency change and the fluctuation of wind and solar power: Where ΔP pv,t , ΔP wind,t are the changes of photovoltaic and wind power relative to the initial AGC command power at time t; Indicates the total power command allocated to the energy storage module; Initial AGC instruction for the energy storage module; The total theoretical power increment of wind, solar and energy storage new energy stations; When the adjustable margin of energy storage power responds to the theoretical increment of total power but does not fully respond to the fluctuation of wind and solar power, the total power instruction of the energy storage module is: Among them, R bess It is the adjustable margin of energy storage power; In step S3, dynamic response modeling is performed on wind power, photovoltaic, and energy storage modules. The specific operations are as follows: in, are the response powers of energy storage, photovoltaic and wind power modules respectively; T bess , T pv , T wind are the response time constants of energy storage, photovoltaic, and wind power modules, respectively; are the total power instructions allocated to the photovoltaic and wind power modules respectively; s is the complex frequency; In step S3, the finite difference method is used to convert the model into a discretized model in the time domain, and the power response of the grid connection point taking into account the wind and solar fluctuations in the frequency modulation process is obtained by combining the primary frequency modulation instruction method. The specific operation is as follows: in, are the response powers of energy storage, photovoltaic and wind power modules at time tn respectively; are the response powers of energy storage, photovoltaic and wind power modules at time tn-1 respectively; are the frequency modulation instructions for energy storage, photovoltaic and wind power modules at time tn-1 considering the wind and solar fluctuations; dn is the differential step size; is the grid-connected point power response.

2. A method for calculating a frequency modulation instruction taking into account wind and solar fluctuations during frequency modulation according to claim 1, characterized in that: In step S1, the control architecture of the wind, solar, energy storage new energy station is that the wind, solar, energy storage new energy station calculates the total theoretical power increment of the wind, solar, energy storage new energy station according to the measured frequency change of the grid connection point, and combines the initial AGC instruction of the wind, solar, energy storage new energy station to issue a frequency modulation instruction to the wind power, photovoltaic and energy storage modules.

3. A method for calculating a frequency modulation instruction taking into account wind and solar fluctuations during frequency modulation according to claim 2, characterized in that: In step S1, the frequency modulation instruction is calculated as follows: in, is the total theoretical power increment of the wind, solar, and storage new energy station; K is the primary frequency regulation droop coefficient of the wind, solar, and storage new energy station; Δf is the frequency change of the wind, solar, and storage new energy station at the grid connection point; R∑ is the total power adjustable margin of the wind, solar, and storage new energy station; The total power command for wind, solar and storage renewable energy stations taking into account the power increment; It is the initial AGC instruction for wind, solar and storage new energy stations; According to the primary frequency regulation command allocation logic of the wind, solar and energy storage new energy station, the total power command of the wind, solar and energy storage new energy station taking into account the power increment is allocated to the wind power, photovoltaic and energy storage modules: in, They are the total power instructions allocated to the energy storage, photovoltaic, and wind power modules respectively.

4. A method for calculating a frequency modulation instruction taking into account wind and solar fluctuations during frequency modulation according to claim 3, characterized in that: There are three allocation scenarios for allocating the total power command of the wind, solar and energy storage new energy station taking into account the power increment to wind power, photovoltaic and energy storage modules: Distribution 1: When the adjustable margin of energy storage power is sufficient, the total theoretical power increment of the wind, solar and energy storage new energy station is fully responded by the energy storage module, and the total power instruction of the energy storage module is: in, Initial AGC instruction for the energy storage module; Allocation situation 2: When the adjustable margin of energy storage power is insufficient and the adjustable margin of photovoltaic power is sufficient, the total theoretical power increment of the wind-solar-storage new energy station is fully responded by the energy storage module and the photovoltaic module. The total power instructions of the energy storage module and the photovoltaic module are: Among them, R bess It is the adjustable margin of energy storage power; It is the initial AGC instruction of the photovoltaic module; Allocation situation three: When the adjustable margin of energy storage power and photovoltaic power is insufficient, the total theoretical power increment of the wind-solar-storage new energy station is jointly responded by the energy storage module, photovoltaic module and wind power module. The total power instructions of the energy storage module, photovoltaic module and wind power module are respectively: Among them, R pv is the photovoltaic power adjustable margin; P is the initial AGC instruction of the wind power module; windmax The maximum wind power that can be generated.

5. A frequency modulation instruction calculation system considering wind and solar fluctuations during frequency modulation, characterized in that: include: A primary frequency modulation grid-connected point frequency modulation total instruction generation module is used to generate a total theoretical power instruction increment and a total frequency modulation instruction of the grid-connected point according to the frequency change; The energy storage, photovoltaic and wind power primary frequency regulation instruction allocation module is used to allocate the total frequency regulation instruction of the grid connection point to the energy storage, photovoltaic and wind power modules according to the adjustable power margin of each power source. When the adjustable power margin of the energy storage is sufficient, the new energy storage, photovoltaic and wind power primary frequency regulation instructions are calculated taking into account the fluctuation of wind and solar power. The power response module is used to model the dynamic response of wind power, photovoltaic and energy storage modules, and convert them into discretized models in the time domain according to the finite difference method. It responds according to the calculated primary frequency modulation instructions of each power source to obtain the power response of the grid connection point. Considering the calculation of the frequency modulation command of the wind and solar power fluctuation during the frequency modulation process, the total power command is completely determined by the frequency change and the wind and solar power fluctuation: Where ΔP pv,t , ΔP wind,t are the changes of photovoltaic and wind power relative to the initial AGC command power at time t; Indicates the total power command allocated to the energy storage module; Initial AGC instruction for the energy storage module; The total theoretical power increment of wind, solar and energy storage new energy stations; When the adjustable margin of energy storage power responds to the theoretical increment of total power but does not fully respond to the fluctuation of wind and solar power, the total power instruction of the energy storage module is: Among them, R bess It is the adjustable margin of energy storage power; Dynamic response modeling of wind power, photovoltaic and energy storage modules is carried out. The specific operations are as follows: in, are the response powers of energy storage, photovoltaic and wind power modules respectively; T bess , T pv , T wind are the response time constants of energy storage, photovoltaic, and wind power modules, respectively; are the total power instructions allocated to the photovoltaic and wind power modules respectively; s is the complex frequency; According to the finite difference method, it is converted into a discretized model in the time domain. Combined with the primary frequency modulation command method, the power response of the grid connection point taking into account the wind and solar fluctuations during the frequency modulation process is obtained. The specific operations are as follows: in, are the response powers of energy storage, photovoltaic and wind power modules at time tn respectively; are the response powers of energy storage, photovoltaic and wind power modules at time tn-1 respectively; are the frequency modulation instructions for energy storage, photovoltaic and wind power modules at time tn-1 considering the wind and solar fluctuations; dn is the differential step size; is the grid-connected point power response.

6. A computer device comprising: Memory and processor; The memory stores a computer program, characterized in that when the processor executes the computer program, the steps of the method for calculating a frequency modulation instruction taking into account wind and solar power fluctuations in the frequency modulation process as described in any one of claims 1 to 4 are implemented.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for calculating a frequency modulation instruction taking into account wind and solar power fluctuations during the frequency modulation process as described in any one of claims 1 to 4 are implemented.

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