New energy station primary frequency modulation cooperative control method and device

Abstract

The invention relates to the technical field of demand response control, and particularly provides a primary frequency modulation cooperative control method and device for a new energy station, and the method comprises the steps: substituting a power grid frequency prediction variable quantity of a future regulation and control time period into a pre-constructed frequency modulation response control model, and carrying out the solving, and obtaining a scheduling proportion coefficient of each response unit; generating a frequency modulation instruction of each response unit based on the scheduling proportionality coefficient of each response unit; and controlling each response unit to perform primary frequency modulation response by using the frequency modulation instruction of each response unit. According to the technical scheme provided by the invention, the frequency regulation and control capability and the new energy consumption level of the weak inertia power grid can be improved, and rapid, accurate and layered active frequency modulation control is realized.

Description

Technical Field

[0001] This invention relates to the field of demand response control technology, specifically to a method and device for primary frequency regulation coordinated control of a new energy power station. Background Technology

[0002] In recent years, with the rapid increase in installed capacity of renewable energy sources such as wind power and photovoltaics, traditional large-scale thermal power units have been gradually decommissioned, leading to a continuous decline in the overall inertia level of the power system and a significant weakening of frequency stability. Under the background of a high proportion of new energy integration, the demand for frequency regulation is becoming increasingly severe, manifested in the following ways:

[0003] (1) Increased frequency fluctuation amplitude: When there is a sudden change in load or rapid change in new energy, the system frequency change rate intensifies, and frequency extreme values ​​are more likely to trigger the trip protection mechanism.

[0004] (2) Lack of inertia support: Wind power and photovoltaic power are connected to the grid through power electronic equipment, and naturally do not have rotational inertia, making it difficult to respond quickly to frequency disturbances;

[0005] (3) Traditional primary frequency regulation has poor adaptability: Current primary frequency regulation still relies on conventional unit regulation, which has a slow response speed, high regulation cost, and is gradually becoming ineffective in scenarios with a high proportion of new energy.

[0006] (4) Fragmented response of energy storage resources: Some existing frequency regulation systems adopt the "energy storage + main control" strategy, but fail to achieve coordinated response between multiple types of energy storage and new energy units, resulting in problems such as response overlap and control conflict;

[0007] Therefore, there is an urgent need for a new primary frequency regulation support method based on dynamic optimization of control strategies to achieve rapid, hierarchical, and orderly response to frequency disturbances, improve the frequency security margin of the power grid, and unleash the supporting potential of new energy power plants. Summary of the Invention

[0008] To overcome the above-mentioned defects, this invention proposes a method and device for primary frequency regulation coordinated control of new energy power plants.

[0009] Firstly, a method for coordinated primary frequency regulation control of a new energy power station is provided, the method comprising:

[0010] Substitute the predicted changes in power grid frequency during future regulation periods into the pre-built frequency regulation response control model and solve it to obtain the scheduling ratio coefficient of each response unit.

[0011] Frequency modulation commands for each response unit are generated based on the scheduling ratio coefficient of each response unit.

[0012] The frequency modulation command of each response unit is used to control each response unit to perform a frequency modulation response.

[0013] Preferably, the response unit includes at least one of the following: a wind turbine generator set, a photovoltaic generator set, and an energy storage system.

[0014] Preferably, the pre-built frequency response control model includes: an objective function aimed at minimizing frequency deviation and resource cost, and its corresponding constraints.

[0015] Furthermore, the objective function is as follows:

[0016]

[0017] In the above formula, Δf(t) represents the predicted change in grid frequency at time t, and λ i Let α be the unit response cost factor for response unit i. i Let T be the scheduling ratio coefficient for response unit i, and T be the future control period.

[0018] Furthermore, the constraints are as follows:

[0019] ∑α i ·P eff,i ≥P req

[0020] 0≤α i ≤1

[0021] In the above formula, P eff,i P is the effective response power of response unit i. req This represents the total frequency modulation power required by the system during frequency disturbances.

[0022] Preferably, the frequency modulation commands of each base response unit are as follows:

[0023] R i ={α i P eff,i ,τ i ,T i}

[0024] Among them, R i In response to the frequency modulation command of unit i, P eff,i τ represents the effective response power of response unit i. i T is the response delay of response unit i. i α is the effective support time of response unit i. i The scheduling ratio coefficient for response unit i.

[0025] Furthermore, when the response unit is a wind turbine or a photovoltaic generator, the effective response power of the response unit i is equal to P. res,i ;

[0026] When the response unit is a wind turbine or a photovoltaic generator, the effective response power of the response unit i is equal to γ. i ·P res,i ;

[0027] Among them, P res,i γ is the maximum frequency modulation available power of response unit i. i This is the health weighting factor for unit i.

[0028] Furthermore, the maximum available power for frequency modulation of the response unit i is as follows:

[0029]

[0030] In the above formula, E usable,i For the energy capacity available for frequency modulation of response unit i, T resp In response to the duration window, P max,i The maximum regulating power of response unit i.

[0031] Secondly, a primary frequency regulation coordinated control device for a new energy power station is provided, the new energy power station primary frequency regulation coordinated control device comprising:

[0032] The analysis module is used to substitute the predicted changes in the power grid frequency during future control periods into the pre-built frequency regulation response control model and solve it to obtain the scheduling ratio coefficient of each response unit.

[0033] The generation module is used to generate frequency modulation instructions for each response unit based on the scheduling ratio coefficient of each response unit.

[0034] The response module is used to control each response unit to perform a frequency modulation response using the frequency modulation command of each response unit.

[0035] Preferably, the response unit includes at least one of the following: a wind turbine generator set, a photovoltaic generator set, and an energy storage system.

[0036] Preferably, the pre-built frequency response control model includes: an objective function aimed at minimizing frequency deviation and resource cost, and its corresponding constraints.

[0037] Furthermore, the objective function is as follows:

[0038]

[0039] In the above formula, Δf(t) represents the predicted change in grid frequency at time t, and λ i Let α be the unit response cost factor for response unit i. i Let T be the scheduling ratio coefficient for response unit i, and T be the future control period.

[0040] Furthermore, the constraints are as follows:

[0041] ∑α i ·P eff,i ≥P req

[0042] 0≤α i ≤1

[0043] In the above formula, P eff,i P is the effective response power of response unit i. req This represents the total frequency modulation power required by the system during frequency disturbances.

[0044] Preferably, the frequency modulation commands of each base response unit are as follows:

[0045] R i ={α i P eff,i ,τ i ,T i}

[0046] Among them, R i In response to the frequency modulation command of unit i, P eff,i τ represents the effective response power of response unit i. i T is the response delay of response unit i. i α is the effective support time of response unit i. i The scheduling ratio coefficient for response unit i.

[0047] Furthermore, when the response unit is a wind turbine or a photovoltaic generator, the effective response power of the response unit i is equal to P. res,i ;

[0048] When the response unit is a wind turbine or a photovoltaic generator, the effective response power of the response unit i is equal to γ. i ·P res,i ;

[0049] Among them, P res,i γ is the maximum frequency modulation available power of response unit i. i This is the health weighting factor for unit i.

[0050] Furthermore, the maximum available power for frequency modulation of the response unit i is as follows:

[0051]

[0052] In the above formula, E usable,i For the energy capacity available for frequency modulation of response unit i, T resp In response to the duration window, P max,i The maximum regulating power of response unit i.

[0053] Thirdly, a computer device is provided, comprising: one or more processors;

[0054] The processor is used to execute one or more programs;

[0055] When the one or more programs are executed by the one or more processors, the primary frequency regulation coordinated control method for new energy power plants is implemented.

[0056] Fourthly, a computer-readable storage medium is provided, on which a computer program is stored, wherein when the computer program is executed, the primary frequency regulation coordinated control method for new energy power stations is implemented.

[0057] The above-described technical solutions of the present invention have at least one or more of the following beneficial effects:

[0058] This invention provides a method and apparatus for primary frequency regulation coordinated control of new energy power plants, comprising: substituting the predicted change in grid frequency during future regulation periods into a pre-constructed frequency regulation response control model and solving it to obtain the scheduling proportional coefficient of each response unit; generating frequency regulation commands for each response unit based on the scheduling proportional coefficients of each response unit; and controlling each response unit to perform primary frequency regulation response using the frequency regulation commands of each response unit. The technical solution provided by this invention converts the demand response factors of the response units into scheduling proportional coefficients, realizing intelligent loss-avoidance scheduling of energy storage and wind power resources. This mechanism avoids the accelerated aging of equipment caused by high-frequency repeated adjustments, extends system life, and reduces energy losses caused by mis-adjustments and re-adjustments. Furthermore, this solution has high adaptability and engineering implementation capability, facilitating rapid deployment and promotion in existing power dispatching systems. Attached Figure Description

[0059] Figure 1 This is a schematic diagram of the main steps of the primary frequency regulation and coordinated control method for new energy power plants according to an embodiment of the present invention. Detailed Implementation

[0060] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0061] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0062] As disclosed in the background section, in recent years, with the rapid increase in installed capacity of renewable energy sources such as wind power and photovoltaics, and the gradual retirement of traditional large-scale thermal power units, the overall inertia level of the power system has continued to decline, and frequency stability has been significantly weakened. Under the background of a high proportion of new energy integration, the demand for frequency regulation is becoming increasingly severe, manifested in:

[0063] (1) Increased frequency fluctuation amplitude: When there is a sudden change in load or rapid change in new energy, the system frequency change rate intensifies, and frequency extreme values ​​are more likely to trigger the trip protection mechanism.

[0064] (2) Lack of inertia support: Wind power and photovoltaic power are connected to the grid through power electronic equipment, and naturally do not have rotational inertia, making it difficult to respond quickly to frequency disturbances;

[0065] (3) Traditional primary frequency regulation has poor adaptability: Current primary frequency regulation still relies on conventional unit regulation, which has a slow response speed, high regulation cost, and is gradually becoming ineffective in scenarios with a high proportion of new energy.

[0066] (4) Fragmented response of energy storage resources: Some existing frequency regulation systems adopt the "energy storage + main control" strategy, but fail to achieve coordinated response between multiple types of energy storage and new energy units, resulting in problems such as response overlap and control conflict;

[0067] Therefore, there is an urgent need for a new primary frequency regulation support method based on dynamic optimization of control strategies to achieve rapid, hierarchical, and orderly response to frequency disturbances, improve the frequency security margin of the power grid, and unleash the supporting potential of new energy power plants.

[0068] To address the aforementioned issues, this invention provides a method and apparatus for primary frequency regulation coordinated control of new energy power plants. The method includes: substituting the predicted changes in grid frequency during future regulation periods into a pre-constructed frequency regulation response control model and solving it to obtain the scheduling proportional coefficients of each response unit; generating frequency regulation commands for each response unit based on these proportional coefficients; and controlling each response unit to perform primary frequency regulation response using these commands. The technical solution provided by this invention converts the demand response factors of the response units into scheduling proportional coefficients, enabling intelligent loss-avoidance scheduling of energy storage and wind power resources. This mechanism avoids accelerated equipment aging caused by high-frequency repetitive adjustments, extends system lifespan, and reduces energy losses caused by mis-adjustments and re-adjustments. Furthermore, this solution possesses high adaptability and engineering implementation capabilities, facilitating rapid deployment and promotion within existing power dispatching systems.

[0069] The above plan will be explained in detail below.

[0070] Example 1

[0071] See appendix Figure 1 , Figure 1This is a schematic flowchart illustrating the main steps of a primary frequency regulation coordinated control method for a new energy power station according to an embodiment of the present invention. Figure 1 As shown, the primary frequency regulation coordinated control method for new energy power plants in this embodiment of the invention mainly includes the following steps:

[0072] Step S101: Substitute the predicted change in power grid frequency during the future control period into the pre-built frequency regulation response control model and solve it to obtain the scheduling ratio coefficient of each response unit.

[0073] Step S102: Generate frequency modulation commands for each response unit based on the scheduling ratio coefficient of each response unit;

[0074] Step S103: Use the frequency modulation command of each response unit to control each response unit to perform a frequency modulation response.

[0075] The response unit includes at least one of the following: a wind turbine generator set, a photovoltaic generator set, and an energy storage system.

[0076] In this embodiment, the pre-built frequency modulation response control model includes: an objective function aimed at minimizing frequency deviation and resource cost, and its corresponding constraints.

[0077] In one implementation, the objective function is as follows:

[0078]

[0079] In the above formula, Δf(t) represents the predicted change in grid frequency at time t, and λ i Let α be the unit response cost factor for response unit i. i Let T be the scheduling ratio coefficient for response unit i, and T be the future control period.

[0080] In one implementation, the constraints are as follows:

[0081] ∑α i ·P eff,i ≥P req

[0082] 0≤α i ≤1

[0083] In the above formula, P eff,i P is the effective response power of response unit i. req This represents the total frequency modulation power required by the system during frequency disturbances.

[0084] In this embodiment, the frequency modulation commands for each response unit are as follows:

[0085] R i ={α i Peff,i ,τ i ,T i}

[0086] Among them, R i In response to the frequency modulation command of unit i, P eff,i τ represents the effective response power of response unit i. i The response delay of response unit i is T, which is the delay time from receiving the frequency modulation command to starting to output power. i α represents the effective support time of response unit i, i.e., the longest duration for which the device can stably maintain frequency modulation output in the current state. i The scheduling ratio coefficient for response unit i.

[0087] In one embodiment, when the response unit is a wind turbine or a photovoltaic generator, the effective response power of the response unit i is equal to P. res,i ;

[0088] When the response unit is a wind turbine or a photovoltaic generator, the effective response power of the response unit i is equal to γ. i ·P res,i ;

[0089] Among them, P res,i γ is the maximum frequency modulation available power of response unit i. i The health weighting factor for unit i is in the range of [0,1], representing the degree of performance degradation caused by equipment aging, excessive temperature, or failure.

[0090] In one implementation, the maximum available frequency modulation power of the response unit i is as follows:

[0091]

[0092] In the above formula, E usable,i For the energy capacity available for frequency modulation of response unit i, T resp In response to the duration window, P max,i The maximum regulating power of response unit i.

[0093] In one specific implementation, the MPC algorithm can be used to implement the present invention. The invention also provides a primary frequency regulation coordinated control method for new energy power plants, which predicts future frequency change trends and dynamically solves α based on equipment status. i Output R i .

[0094] That is, each control cycle predicts the frequency offset within the next T seconds; based on the prediction results and equipment status, the optimal scheduling proportional coefficient α is calculated. i Prioritize the use of resources that offer fast response, low cost, and are in good condition.

[0095] The final generated frequency modulation control commands need to be issued through a standard protocol, and the response effect needs to be monitored in real time to ensure that the system performance meets expectations. Specifically:

[0096] Communication interface establishment

[0097] Supports industrial protocols such as IEC 61850 and OPC UA to ensure cross-platform device communication consistency and latency control.

[0098] Control command issuance

[0099] Generate including R i Control commands such as execution flags and timing numbers are issued through standard protocols.

[0100] Safety redundancy and fault tolerance strategies

[0101] Establish a redundant resource pool, a communication heartbeat mechanism, and policy version management to ensure reliable system operation.

[0102] Example 2

[0103] Based on the same inventive concept, the present invention also provides a primary frequency regulation coordinated control device for new energy power stations, the primary frequency regulation coordinated control device for new energy power stations comprising:

[0104] The analysis module is used to substitute the predicted changes in the power grid frequency during future control periods into the pre-built frequency regulation response control model and solve it to obtain the scheduling ratio coefficient of each response unit.

[0105] The generation module is used to generate frequency modulation instructions for each response unit based on the scheduling ratio coefficient of each response unit.

[0106] The response module is used to control each response unit to perform a frequency modulation response using the frequency modulation command of each response unit.

[0107] Preferably, the response unit includes at least one of the following: a wind turbine generator set, a photovoltaic generator set, and an energy storage system.

[0108] Preferably, the pre-built frequency response control model includes: an objective function aimed at minimizing frequency deviation and resource cost, and its corresponding constraints.

[0109] Furthermore, the objective function is as follows:

[0110]

[0111] In the above formula, Δf(t) represents the predicted change in grid frequency at time t, and λ i Let α be the unit response cost factor for response unit i. iLet T be the scheduling ratio coefficient for response unit i, and T be the future control period.

[0112] Furthermore, the constraints are as follows:

[0113] ∑α i ·P eff,i ≥P req

[0114] 0≤α i ≤1

[0115] In the above formula, P eff,i P is the effective response power of response unit i. req This represents the total frequency modulation power required by the system during frequency disturbances.

[0116] Preferably, the frequency modulation commands of each base response unit are as follows:

[0117] R i ={α i P eff,i ,τ i ,T i}

[0118] Among them, R i In response to the frequency modulation command of unit i, P eff,i τ represents the effective response power of response unit i. i T is the response delay of response unit i. i α is the effective support time of response unit i. i The scheduling ratio coefficient for response unit i.

[0119] Furthermore, when the response unit is a wind turbine or a photovoltaic generator, the effective response power of the response unit i is equal to P. res,i ;

[0120] When the response unit is a wind turbine or a photovoltaic generator, the effective response power of the response unit i is equal to γ. i ·P res,i ;

[0121] Among them, P res,i γ is the maximum frequency modulation available power of response unit i. i This is the health weighting factor for unit i.

[0122] Furthermore, the maximum available power for frequency modulation of the response unit i is as follows:

[0123]

[0124] In the above formula, E usable,i For the energy capacity available for frequency modulation of response unit i, T respIn response to the duration window, P max,i The maximum regulating power of response unit i.

[0125] Example 3

[0126] Based on the same inventive concept, this invention also provides a computer device, which includes a processor and a memory. The memory stores a computer program, which includes program instructions. The processor executes the program instructions stored in the computer storage medium. The processor may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing and control core of the terminal, and is suitable for implementing one or more instructions. Specifically, it is suitable for loading and executing one or more instructions in the computer storage medium to realize the corresponding method flow or corresponding function, so as to realize the steps of the primary frequency regulation coordinated control method for a new energy power station in the above embodiments.

[0127] Example 4

[0128] Based on the same inventive concept, this invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device used to store programs and data. It is understood that the computer-readable storage medium here can include both the built-in storage medium in the computer device and extended storage media supported by the computer device. The computer-readable storage medium provides storage space that stores the terminal's operating system. Furthermore, this storage space also stores one or more instructions suitable for loading and execution by a processor. These instructions can be one or more computer programs (including program code). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk storage device. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the steps of the primary frequency regulation coordinated control method for a new energy power station in the above embodiments.

[0129] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0130] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations 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, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0131] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0132] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0133] 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, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A primary frequency regulation coordinated control method for a new energy power station, characterized in that, The method includes: Substitute the predicted changes in power grid frequency during future regulation periods into the pre-built frequency regulation response control model and solve it to obtain the scheduling ratio coefficient of each response unit. Frequency modulation commands for each response unit are generated based on the scheduling ratio coefficient of each response unit. The frequency modulation command of each response unit is used to control each response unit to perform a frequency modulation response.

2. The method as described in claim 1, characterized in that, The response unit includes at least one of the following: wind turbine, photovoltaic generator, and energy storage system.

3. The method as described in claim 1, characterized in that, The pre-built frequency response control model includes: an objective function aimed at minimizing frequency deviation and resource cost, and its corresponding constraints.

4. The method as described in claim 3, characterized in that, The objective function is as follows: In the above formula, Δf(t) represents the predicted change in grid frequency at time t, and λ i Let α be the unit response cost factor for response unit i. i Let T be the scheduling ratio coefficient for response unit i, and T be the future control period.

5. The method as described in claim 4, characterized in that, The constraints are as follows: ∑α i ·P eff,i ≥P req 0≤α i ≤1 In the above formula, P eff,i P is the effective response power of response unit i. req This represents the total frequency modulation power required by the system during frequency disturbances.

6. The method as described in claim 1, characterized in that, The frequency modulation commands for each response unit of the base are as follows: R i ={a i P eff,i ,t i ,T i } Among them, R i In response to the frequency modulation command of unit i, P eff,i τ represents the effective response power of response unit i. i For the response delay of response unit i, T i α is the effective support time of response unit i. i The scheduling ratio coefficient for response unit i.

7. The method as described in claim 5 or 6, characterized in that, When the response unit is a wind turbine or a photovoltaic generator, the effective response power of the response unit i is equal to P. res,i ; When the response unit is a wind turbine or a photovoltaic generator, the effective response power of the response unit i is equal to γ. i ·P res,i ; Among them, P res,i γ is the maximum frequency modulation available power of response unit i. i This is the health weighting factor for unit i.

8. The method as described in claim 7, characterized in that, The maximum available frequency modulation power of the response unit i is as follows: In the above formula, E usable,i For the energy capacity available for frequency modulation of response unit i, T resp In response to the duration window, P max,i The maximum regulating power of response unit i.

9. A primary frequency regulation coordinated control device for a new energy power station, characterized in that, The device includes: The analysis module is used to substitute the predicted changes in power grid frequency during future control periods into the pre-built frequency regulation response control model and solve it to obtain the scheduling ratio coefficient of each response unit. The generation module is used to generate frequency modulation instructions for each response unit based on the scheduling ratio coefficient of each response unit. The response module is used to control each response unit to perform a frequency modulation response using the frequency modulation command of each response unit.

10. The apparatus as claimed in claim 9, characterized in that, The response unit includes at least one of the following: wind turbine, photovoltaic generator, and energy storage system.

11. The apparatus as claimed in claim 9, characterized in that, The pre-built frequency response control model includes: an objective function aimed at minimizing frequency deviation and resource cost, and its corresponding constraints.

12. The apparatus as claimed in claim 11, characterized in that, The objective function is as follows: In the above formula, Δf(t) represents the predicted change in grid frequency at time t, and λ i Let α be the unit response cost factor for response unit i. i Let T be the scheduling ratio coefficient for response unit i, and T be the future control period.

13. The apparatus as claimed in claim 12, characterized in that, The constraints are as follows: ∑α i ·P eff,i ≥P req 0≤α i ≤1 In the above formula, P eff,i P is the effective response power of response unit i. req This represents the total frequency modulation power required by the system during frequency disturbances.

14. The apparatus as claimed in claim 9, characterized in that, The frequency modulation commands for each response unit of the base are as follows: R i ={a i P eff,i ,t i ,T i } Among them, R i In response to the frequency modulation command of unit i, P eff,i τ represents the effective response power of response unit i. i For the response delay of response unit i, T i α is the effective support time of response unit i. i The scheduling ratio coefficient for response unit i.

15. The apparatus as claimed in claim 13 or 14, characterized in that, When the response unit is a wind turbine or a photovoltaic generator, the effective response power of the response unit i is equal to P. res,i ; When the response unit is a wind turbine or a photovoltaic generator, the effective response power of the response unit i is equal to γ. i ·P res,i ; Among them, P res,i γ is the maximum frequency modulation available power of response unit i. i This is the health weighting factor for unit i.

16. The apparatus as claimed in claim 15, characterized in that, The maximum available frequency modulation power of the response unit i is as follows: In the above formula, E usable,i For the energy capacity available for frequency modulation of response unit i, T resp In response to the duration window, P max,i The maximum regulating power of response unit i.

17. A computer device, characterized in that, include: One or more processors; The processor is used to execute one or more programs; When the one or more programs are executed by the one or more processors, the primary frequency regulation coordinated control method for new energy power stations as described in any one of claims 1 to 8 is implemented.

18. A computer-readable storage medium, characterized in that, It contains a computer program, which, when executed, implements the primary frequency regulation coordinated control method for new energy power stations as described in any one of claims 1 to 8.

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