An improved instruction allocation calculation method, system, electronic device and medium considering significant changes in wind and light resources during the frequency modulation process

Abstract

The present invention provides an improved instruction allocation calculation method, system, electronic device and medium considering large-scale changes in wind and light resources during frequency modulation, belonging to the technical field of power system frequency stability control, and comprising the following steps: Step S1, establish a control architecture and a classical instruction allocation calculation method applied to a wind-solar-storage new energy power station; Step S2, establish a frequency modulation instruction allocation calculation method considering large-scale changes in wind and light resources during frequency modulation; Step S3, perform dynamic response characteristic modeling on wind power, photovoltaic and energy storage units, and convert them into discretized models in the time domain according to the finite difference method, and combine the frequency modulation instruction allocation calculation method in Step S2 to perform power output on wind power, photovoltaic and energy storage units. The present invention can realize the correct calculation and allocation of frequency modulation instructions under different wind and light resources, and improve the frequency support ability of new energy power stations.

Description

Technical Field

[0001] The present invention relates to the technical field of power system frequency stability control, and in particular to an improved instruction allocation calculation method, system, electronic device and medium that consider significant changes in wind and light resources during the frequency modulation process. Background Art

[0002] New energy power stations have problems such as a large number of control objects, multiple control levels, being greatly affected by wind and light resources, and difficult coordination control. Existing research on new energy power stations can no longer better address the problems and demands faced by significant changes in wind and light during the frequency modulation process. How to better handle the significant changes in wind and light resources and reasonably coordinate various control objects during the frequency modulation process of new energy power stations has become an important research direction.

[0003] However, under the classical instruction allocation calculation method, when there are significant changes in wind and light resources during the frequency modulation process, an instruction reverse problem will occur, and the adjustable resources of each control object cannot be effectively utilized, and the frequency support ability of new energy power stations cannot be fully exerted.

[0004] Therefore, it is necessary to provide an improved instruction allocation calculation method, system, electronic device and medium that consider significant changes in wind and light resources during the frequency modulation process to solve the above problems. Summary of the Invention

[0005] The purpose of the present invention is to provide an improved instruction allocation calculation method, system, electronic device and medium that consider significant changes in wind and light resources during the frequency modulation process, which can better handle the correct allocation calculation of frequency modulation instructions for multiple control objects in the scenario of wind and light resource changes during the frequency modulation process. At the same time, the response characteristics of wind power, photovoltaic and energy storage are modeled, and they are transformed from the frequency domain to the time domain by the finite difference method, which can accurately describe the response of each unit under the improved instruction allocation calculation method, and is beneficial to optimizing the method from the perspective of wind and light resource uncertainty when dealing with more complex and diverse new energy power station control levels and objects in the future, thereby enhancing the frequency support ability of new energy power stations.

[0006] To achieve the above purpose, the present invention provides an improved instruction allocation calculation method that considers significant changes in wind and light resources during the frequency modulation process, including the following steps:

[0007] Step S1, establish a control architecture and a classical instruction allocation calculation method applied to wind-solar-storage new energy power stations;

[0008] Step S2, establish an instruction allocation calculation method for frequency modulation that considers significant changes in wind and light resources during the frequency modulation process;

[0009] Step S3: Model the dynamic response characteristics of the wind power, photovoltaic, and energy storage units, transform them into a discretized model in the time domain according to the finite difference method, and combine with the frequency regulation command allocation calculation method in Step S2 to perform power output for the wind power, photovoltaic, and energy storage units.

[0010] Preferably, in Step S1, the control architecture of the new energy power station integrating wind power, photovoltaic, and energy storage is to calculate the total theoretical power command of the power station based on the measured frequency change at the grid connection point, and allocate it to the wind power, photovoltaic, and energy storage power supplies. Then, the wind power EMS, photovoltaic data acquisition, and energy storage coordination control allocate the power command to the wind power, photovoltaic, and energy storage units.

[0011] Preferably, in Step S1, the classical command allocation calculation method is as follows:

[0012] Calculate the total theoretical power increment of the new energy power station according to the primary frequency regulation droop coefficient of the power station, the frequency change at the grid connection point, and the total adjustable power margin of the new energy power station, and then calculate the total power command of the new energy power station considering the power increment;

[0013]

[0014] Among them, is the total theoretical power increment of the new energy power station; K is the primary frequency regulation droop coefficient of the new energy power station; Δf is the frequency change at the grid connection point of the new energy power station; R∑ is the total adjustable power margin of the new energy power station; is the total power command of the new energy power station considering the power increment; is the total AGC command of the new energy power station at steady state;

[0015] According to the primary frequency regulation command allocation logic of the new energy power station integrating wind power, photovoltaic, and energy storage, the method for allocating the total power command of the new energy power station considering the power increment to the energy storage power supply, photovoltaic power supply, and wind power supply is as follows:

[0016]

[0017] Among them, are the total power commands allocated to the energy storage power supply, photovoltaic power supply, and wind power supply respectively;

[0018] According to the actual output, adjustable reserve, and maximum power generation of each power supply at steady state, further allocate the total power command of each power supply to specific units;

[0019]

[0020] Among them, is the total frequency regulation theoretical increment of the energy storage power supply, wind power supply, and photovoltaic power supply, l = bess / wind / pv, bess represents energy storage, wind represents wind power, and pv represents photovoltaic; are the actual outputs of the energy storage power supply, wind power supply, and photovoltaic power supply at steady state, respectively; are the theoretical power increments allocated to the energy storage power supply, wind power supply, and photovoltaic power supply; are the actual outputs of the energy storage power supply, wind power supply, and photovoltaic power supply at time \(t_n\); is the adjustable reserve of the energy storage unit, wind power unit, and photovoltaic unit \(i\) at time \(t_n\); is the maximum power generation capacity of the energy storage unit, wind power unit, and photovoltaic unit \(i\) at time \(t_n\); is the actual output of the energy storage unit, wind power unit, and photovoltaic unit \(i\) at time \(t_n\); is the distribution coefficient of the total frequency modulation theoretical increment of the energy storage unit, wind power unit, and photovoltaic unit \(i\); is the power command of the energy storage unit, wind power unit, and photovoltaic unit \(i\) at time \(t_{n + 1}\).

[0021] Preferably, in step S2, a frequency modulation command allocation calculation method considering large changes in wind and light resources during the frequency modulation process is established. The specific operation is as follows:

[0022]

[0023] Among them, are the AGC commands of the energy storage unit, wind power unit, and photovoltaic units \(i\) and \(j\) at steady state, respectively; are the maximum power generation capacities of the energy storage unit, wind power unit, and photovoltaic unit \(j\) at time \(t_n\), respectively; is the power command of the energy storage unit, wind power unit, and photovoltaic unit \(j\) at time \(t_{n + 1}\).

[0024] Preferably, dynamic response characteristic modeling is performed on the wind power, photovoltaic, and energy storage units. The specific operation is as follows:

[0025]

[0026]

[0027] Among them, are the response powers of the energy storage unit, photovoltaic unit, and wind power unit \(i\), respectively; \(T\) bess , \(T\) pv , \(T\) wind are the response time constants of the energy storage unit, photovoltaic unit, and wind power unit, respectively; are the power commands of the energy storage unit, photovoltaic unit, and wind power unit \(i\) in the frequency domain, respectively; \(s\) is the complex frequency.

[0028] Preferably, it is transformed into a discretized model in the time domain according to the finite difference method, and combined with the frequency modulation command allocation calculation method in step S2, the power outputs of the wind power, photovoltaic, and energy storage units are performed. The specific operation is as follows:

[0029]

[0030] wherein, are respectively the available power generation of the energy storage unit, photovoltaic unit, and wind power unit i at time tn considering the limitations of wind, light, and storage resources; are respectively the available power generation of the energy storage unit, photovoltaic unit, and wind power unit i at time tn-1 considering the limitations of wind, light, and storage resources; are respectively the power commands of the energy storage unit, photovoltaic unit, and wind power unit i at time tn; are respectively the maximum available power generation of the energy storage unit, photovoltaic unit, and wind power unit i at time tn; are respectively the response power of the energy storage unit, photovoltaic unit, and wind power unit i at time tn; are respectively the response power of the energy storage unit, photovoltaic unit, and wind power unit i at time tn-1; dn is the differential step size.

[0031] The present invention also provides an improved instruction allocation calculation system considering large-scale changes in wind and light resources during frequency modulation, including:

[0032] A total frequency modulation instruction generation and allocation module, configured to generate a total power instruction according to the frequency change and allocate it to the energy storage power supply, wind power supply, and photovoltaic power supply;

[0033] An instruction allocation and calculation module for the energy storage unit, wind power unit, and photovoltaic unit, configured to allocate the total frequency modulation instructions of the energy storage power supply, wind power supply, and photovoltaic power supply to the energy storage unit, wind power unit, and photovoltaic unit, model the classical unit-level instruction allocation calculation method, and establish an improved unit-level instruction allocation calculation method considering large-scale changes in wind and light resources during frequency modulation;

[0034] A power response module, configured to model the dynamic response characteristics of the energy storage unit, wind power unit, and photovoltaic unit, convert them into a discretized model in the time domain according to the finite difference method, and send the calculated unit active power instructions to the energy storage unit, wind power unit, and photovoltaic unit for power output.

[0035] A computer device, including: a memory and a processor; the memory stores a computer program, and when the processor executes the computer program, the steps of the above-mentioned improved instruction allocation calculation method considering large-scale changes in wind and light resources during frequency modulation are implemented.

[0036] A computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above-mentioned improved instruction allocation calculation method considering large-scale changes in wind and light resources during frequency modulation are implemented.

[0037] Therefore, the present invention adopts the above improved instruction allocation calculation method, system, electronic device and medium that consider the significant changes in wind and light resources during the frequency modulation process, and the beneficial technical effects are as follows:

[0038] (1) In the scenario of significant changes in wind and light resources, the problem of reverse frequency modulation instructions is avoided;

[0039] (2) Under the improved instruction allocation logic, the full utilization of wind and light resources can be achieved, and the frequency support ability of new energy power stations is improved. Description of the Drawings

[0040] Figure 1 It is a schematic diagram of the control architecture, instruction allocation and response object of the present invention;

[0041] Figure 2 It is a measured graph of the wind power resources of a certain new energy power station when calculating the instruction allocation of the present invention;

[0042] Figure 3 It is an instruction allocation diagram under the boundary conditions of Example 1;

[0043] Figure 4 It is an instruction allocation comparison diagram under the boundary conditions of Example 1;

[0044] Figure 5 It is a comparison diagram of active power responses under different natural resource scenarios under the boundary conditions of Example 1; among them, Figure 5 in (a) is the comparison diagram of the total wind power response in Scenario a; Figure 5 in (b) is the comparison diagram of the total wind power response in Scenario b; Figure 5 in (c) is the comparison diagram of the total wind power response in Scenario c; Figure 5 in (d) is the comparison diagram of the total wind power response in Scenario d;

[0045] Figure 6 It is a virtual device diagram of the present invention. Detailed Embodiments

[0046] The technical solutions of the present invention will be further described below with reference to the drawings and embodiments.

[0047] Unless otherwise defined, the technical terms or scientific terms used in the present invention shall have the ordinary meanings understood by those of ordinary skill in the field to which the present invention belongs.

[0048] Example 1

[0049] The present invention provides an improved instruction allocation calculation method that considers the significant changes in wind and light resources during the frequency modulation process, including the following steps:

[0050] Step S1, as Figure 1As shown, a control architecture and a classic instruction allocation calculation method applied to a new energy power station integrating wind, light, and energy storage are established;

[0051] The control architecture of the new energy power station integrating wind, light, and energy storage is to calculate the total theoretical power instruction of the power station based on the measured change in the grid connection point frequency, and distribute it to the wind power, photovoltaic, and energy storage power sources. Then, the wind power EMS, photovoltaic data acquisition, and energy storage co - control distribute the power instruction to the wind power, photovoltaic, and energy storage units.

[0052] The classic instruction allocation calculation method is as follows:

[0053] According to the primary frequency regulation droop coefficient of the power station, the change in the grid connection point frequency, and the total adjustable power margin of the new energy power station, calculate the total theoretical power increment of the new energy power station, and then calculate the total power instruction of the new energy power station considering the power increment;

[0054]

[0055] Among them, is the total theoretical power increment of the new energy power station; K is the primary frequency regulation droop coefficient of the new energy power station; Δf is the change in the grid connection point frequency of the new energy power station; R∑ is the total adjustable power margin of the new energy power station; is the total power instruction of the new energy power station considering the power increment; is the total AGC instruction of the new energy power station in the steady state;

[0056] According to the primary frequency regulation instruction allocation logic of the new energy power station integrating wind, light, and energy storage, the method of distributing the total power instruction of the new energy power station considering the power increment to the energy storage power source, photovoltaic power source, and wind power source is:

[0057]

[0058] Among them, are the total power instructions distributed to the energy storage power source, photovoltaic power source, and wind power source respectively;

[0059] According to the actual output, adjustable reserve, and maximum available power of each power source in the steady state, further distribute the total power instruction of each power source to specific units;

[0060]

[0061] Among them, is the total frequency regulation theoretical increment of the energy storage power source, wind power source, and photovoltaic power source, l = bess / wind / pv, bess represents energy storage, wind represents wind power, and pv represents photovoltaic; are the actual outputs of the energy storage power source, wind power source, and photovoltaic power source in the steady state respectively; is the theoretical power increment distributed to the energy storage power source, wind power source, and photovoltaic power source; is the actual output of the energy storage power supply, wind power supply, and photovoltaic power supply at time \(t_n\); is the adjustable reserve of the energy storage unit, wind power unit, and photovoltaic unit \(i\) at time \(t_n\); is the maximum power generation capacity of the energy storage unit, wind power unit, and photovoltaic unit \(i\) at time \(t_n\); is the actual output of the energy storage unit, wind power unit, and photovoltaic unit \(i\) at time \(t_n\); is the distribution coefficient of the total frequency modulation theoretical increment of the energy storage unit, wind power unit, and photovoltaic unit \(i\); is the power command of the energy storage unit, wind power unit, and photovoltaic unit \(i\) at time \(t_{n + 1}\).

[0062] Step S2: Establish a frequency modulation command allocation calculation method considering large changes in wind and light resources during the frequency modulation process. The specific operation is as follows:

[0063]

[0064]

[0065] Among them, are the AGC commands of the energy storage unit, wind power unit, photovoltaic unit \(i\) and \(j\) at steady state, respectively; are the maximum power generation capacities of the energy storage unit, wind power unit, and photovoltaic unit \(j\) at time \(t_n\), respectively; is the power command of the energy storage unit, wind power unit, and photovoltaic unit \(j\) at time \(t_{n + 1}\).

[0066] Step S3: Model the dynamic response characteristics of wind power, photovoltaic, and energy storage units, and convert them into a discretized model in the time domain according to the finite difference method. Combine the frequency modulation command allocation calculation method in Step S2 to perform power output for wind power, photovoltaic, and energy storage units. The specific operation is as follows:

[0067]

[0068] Among them, are the response powers of the energy storage unit, photovoltaic unit, and wind power unit \(i\), respectively; \(T\) bess 、\(T\) pv 、\(T\) wind are the response time constants of the energy storage unit, photovoltaic unit, and wind power unit, respectively; are the power commands of the energy storage unit, photovoltaic unit, and wind power unit \(i\) in the frequency domain, respectively; \(s\) is the complex frequency.

[0069]

[0070]

[0071] Among them, They are the available power of the energy storage unit, photovoltaic unit, and wind power unit i at time \(t_n\) considering the limitations of wind, light, and storage resources, respectively; They are the available power of the energy storage unit, photovoltaic unit, and wind power unit i at time \(t_{n - 1}\) considering the limitations of wind, light, and storage resources, respectively; They are the power commands of the energy storage unit, photovoltaic unit, and wind power unit i at time \(t_n\), respectively; They are the maximum available power of the energy storage unit, photovoltaic unit, and wind power unit i at time \(t_n\), respectively; They are the response powers of the energy storage unit, photovoltaic unit, and wind power unit i at time \(t_n\), respectively; They are the response powers of the energy storage unit, photovoltaic unit, and wind power unit i at time \(t_{n - 1}\), respectively; \(d_n\) is the differential step size.

[0072] The present invention will be further described through simulation experiments below.

[0073] The boundary conditions are set as follows: The total theoretical increment of frequency regulation is responded by wind power. The wind power distributes the total command to two machine groups, with a total installed capacity of 530 MW, a droop coefficient of 33.33, a wind turbine response time constant of 1.2, and the steady-state AGC commands of machine group 1 and machine group 2 are 85 MW and 45 MW, respectively. To illustrate the effectiveness of the improved command distribution calculation method, the following 4 different wind resource scenarios are set, and the command comparison situation is described by scenario c:

[0074] Scenario a: During the frequency regulation process, the wind resources of both machine group 1 and machine group 2 are sufficient, that is, \(P\) maxtn,1 \(>\) \(P\) AGCt0,1 , \(P\) maxtn,2 \(>\) \(P\) AGCt0,2 and where \(P\) maxtn,1 , \(P\) maxtn,2 are the maximum available powers of machine group 1 and machine group 2 at time \(t_n\), respectively, and \(P\) AGCt0,1 , \(P\) AGCt0,1 are the AGC commands of machine group 1 and machine group 2 at steady state, respectively, and \(\Delta P\) is the total theoretical power increment of the station.

[0075] Scenario b: During the frequency regulation process, the wind resources of both machine group 1 and machine group 2 are insufficient, that is, \(P\) maxtn,1 \(<\) \(P\) AGCt0,1 , \(P\) maxtn,2 \(<\) \(P\) AGCt0,2

[0076] Scenario c: During the frequency regulation process, the wind resources of machine group 1 are insufficient, and the wind resources of machine group 2 are sufficient and can compensate for the wind resource shortage of machine group 1, that is, \(P\) maxtn,1 \(<\) \(P\) AGCt0,1 , \(P\) maxtn,2 \(>\) \(P\) AGCt0,2 and

[0077] Scenario d: During the frequency modulation process, the wind resources of Cluster 1 are insufficient, and the wind resources of Cluster 2 are sufficient but not enough to make up for the shortage of wind resources in Cluster 1, that is, P maxtn,1 <P AGCt0,1 , P maxtn,2 >P AGCt0,2 and

[0078] Taking a negative frequency step of 0.1 Hz as the frequency perturbation signal, the theoretical increment of the total power is 35.3 MW, Figure 2 For calculating the distribution instructions, the maximum available power curves of Cluster 1 and Cluster 2 are shown. Figure 3 For the frequency modulation instructions distributed to Cluster 1 and Cluster 2 under the classical instruction distribution calculation method, it can be found that when the wind resources change significantly during the frequency modulation process, the instructions distributed to Cluster 1 are lower than the steady-state operating point, that is, the instructions reverse; at the same time, Cluster 2 with better wind resources cannot compensate for the decrease in the instructions of Cluster 1 in a timely manner, that is, there is an instruction shortage problem. Figure 4 For the frequency modulation instructions distributed to Cluster 1 and Cluster 2 under the improved instruction distribution calculation method, it can be found that when the wind resources change significantly, there are neither instruction reversals nor instruction shortage phenomena for the power instructions of Cluster 1 and Cluster 2.

[0079] Figure 5 For the total response curves of Cluster 1 and Cluster 2 under the classical instruction distribution calculation method and the improved instruction distribution calculation method in different wind resource scenarios, by comparing the response curves, the following conclusions can be obtained:

[0080] Table 1 Response results under classical instruction distribution and improved instruction distribution

[0081]

[0082] Example 2

[0083] As Figure 6 shown, the present invention also provides an improved instruction distribution calculation system considering significant changes in wind and light resources during the frequency modulation process, including:

[0084] A total frequency modulation instruction generation and distribution module for generating a total power instruction according to the frequency change and distributing it to the energy storage power supply, wind power supply, and photovoltaic power supply;

[0085] An energy storage unit, wind power unit, and photovoltaic unit instruction distribution and calculation module for distributing the total frequency modulation instructions of the energy storage power supply, wind power supply, and photovoltaic power supply to the energy storage unit, wind power unit, and photovoltaic unit, modeling the classical unit-level instruction distribution calculation method, and establishing an improved unit-level instruction distribution calculation method considering significant changes in wind and light resources during the frequency modulation process;

[0086] A power response module is used to model the dynamic response characteristics of energy storage units, wind power units, and photovoltaic units, and convert them into a discretized model in the time domain according to the finite difference method. The calculated active power commands of the units are sent to the energy storage units, wind power units, and photovoltaic units for power output.

[0087] 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. 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 discs, etc., which can store program codes.

[0088] 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 and execute instructions from the instruction execution system, apparatus, or device), or 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.

[0089] More specific examples (non-exhaustive list) of computer-readable media include the following: electrical connection parts with one or more wirings (electronic devices), portable computer disk cartridges (magnetic devices), random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memories), fiber optic devices, and portable compact disc read-only memories (CDROM). Additionally, the computer-readable medium can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpretation, or, if necessary, other suitable processing, and then stored in a computer memory.

[0090] 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.

[0091] Therefore, by adopting the above improved instruction allocation calculation method, system, electronic device and medium that consider the large changes in wind and light resources during the frequency modulation process, the present invention can achieve the correct calculation and allocation of frequency modulation instructions under different wind and light resources, and improve the frequency support ability of new energy power stations.

[0092] 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. An improved instruction allocation calculation method considering the large changes in wind and solar resources during frequency modulation, characterized in that: The following steps are involved: Step S1, establishing a control architecture and a classical instruction allocation calculation method applied to wind, solar and storage new energy stations; Step S2, establishing a frequency modulation instruction allocation calculation method that takes into account the significant changes in wind and solar resources during the frequency modulation process; Step S3, modeling the dynamic response characteristics of wind power, photovoltaic and energy storage units, and converting them into discretized models in the time domain according to the finite difference method, and combining the frequency modulation instruction allocation calculation method of step S2 to output power to the wind power, photovoltaic and energy storage units; In step S1, the classical instruction allocation calculation method is as follows: According to the station's primary frequency regulation droop coefficient, the frequency change at the grid connection point and the total power adjustable margin of the new energy station, the total theoretical power increment of the new energy station is calculated, and then the total power instruction of the new energy station taking into account the power increment is calculated; in, is the total theoretical power increment of the new energy station; K is the primary frequency regulation droop coefficient of the new energy station; Δf is the frequency change of the grid connection point of the new energy station; R∑ is the total power adjustable margin of the new energy station; Total power instructions for new energy stations taking into account power increments; It is the total AGC instruction of the new energy station in steady state; According to the primary frequency regulation command allocation logic of wind, solar and energy storage new energy stations, the allocation method of the total power command of the new energy station taking into account the power increment to the energy storage power source, photovoltaic power source and wind power source is as follows: in, They are the total power instructions allocated to the energy storage power source, photovoltaic power source, and wind power source respectively; The total power instructions of each power source are further allocated to specific units according to the actual output, adjustable standby and maximum power of each power source in steady state; in, is the total frequency modulation theoretical increment of energy storage power source, wind power source and photovoltaic power source, l = bess / wind / pv, bess represents energy storage, wind represents wind power, and pv represents photovoltaic; They are the actual outputs of energy storage power source, wind power source and photovoltaic power source in steady state; The theoretical power increment allocated to energy storage power source, wind power source and photovoltaic power source; The actual output of energy storage power source, wind power source and photovoltaic power source at time tn; It is the adjustable reserve of energy storage unit, wind power unit and photovoltaic unit i at time tn; is the maximum power that can be generated by the energy storage unit, wind power unit, and photovoltaic unit i at time tn; is the actual output of the energy storage unit, wind power unit, and photovoltaic unit i at time tn; is the allocation coefficient of the total frequency regulation theoretical increment of energy storage unit, wind power unit and photovoltaic unit i; is the power command of the energy storage unit, wind power unit, and photovoltaic unit i at time tn+1; In step S2, a frequency modulation instruction allocation calculation method is established that takes into account the significant changes in wind and solar resources during the frequency modulation process. The specific operations are: in, are the AGC instructions of the energy storage unit, wind power unit, and photovoltaic unit i and j in steady state respectively; are the maximum power that can be generated by the energy storage unit, wind power unit, and photovoltaic unit j at time tn respectively; is the power instruction of the energy storage unit, wind power unit and photovoltaic unit j at time tn+1.

2. According to claim 1, an improved instruction allocation calculation method considering the large changes in wind and solar resources during frequency modulation is characterized in that: In step S1, the control architecture of the wind, solar and energy storage new energy station is to calculate the total theoretical power command of the station based on the measured frequency change of the grid connection point, and distribute it to the wind power, photovoltaic and energy storage power sources, and then the wind power EMS, photovoltaic data acquisition and energy storage cooperative control will distribute the power command to the wind power, photovoltaic and energy storage units.

3. The improved instruction allocation calculation method according to claim 2, which takes into account the large changes in wind and solar resources during frequency modulation, is characterized in that: Model the dynamic response characteristics of wind power, photovoltaic and energy storage units. The specific operations are as follows: in, are the response powers of energy storage unit, photovoltaic unit and wind power unit i respectively; T bess , T pv , T wind are the response time constants of the energy storage unit, photovoltaic unit, and wind power unit, respectively; are the power instructions of energy storage unit, photovoltaic unit and wind power unit i in the frequency domain; s is the complex frequency.

4. The improved instruction allocation calculation method according to claim 3, which takes into account the large changes in wind and solar resources during frequency modulation, is characterized in that: According to the finite difference method, it is converted into a discretized model in the time domain. Combined with the frequency modulation command allocation calculation method in step S2, the power output of wind power, photovoltaic and energy storage units is performed. The specific operation is as follows: in, are the power that can be generated by energy storage unit, photovoltaic unit, and wind power unit i at time tn considering the limitation of wind, photovoltaic and storage resources; are the power that can be generated by the energy storage unit, photovoltaic unit, and wind power unit i at time tn-1 considering the limitation of wind, photovoltaic, and storage resources; are the power instructions of the energy storage unit, photovoltaic unit, and wind power unit i at time tn respectively; are the maximum power that can be generated by the energy storage unit, photovoltaic unit, and wind power unit i at time tn; are the response powers of the energy storage unit, photovoltaic unit, and wind power unit i at time tn respectively; They are the response powers of energy storage unit, photovoltaic unit and wind power unit i at time tn-1 respectively; dn is the differential step size.

5. An improved instruction allocation calculation system considering the large changes in wind and solar resources during frequency modulation, characterized in that: The improved instruction allocation calculation method considering the large changes of wind and solar resources in the frequency modulation process according to any one of claims 1 to 4 is implemented, comprising: The frequency modulation total instruction generation and distribution module is used to generate the total power instruction according to the frequency change and distribute it to the energy storage power source, wind power source, and photovoltaic power source; The energy storage unit, wind power unit, and photovoltaic unit instruction allocation and calculation module is used to allocate the total frequency modulation instructions of the energy storage power source, wind power source, and photovoltaic power source to the energy storage unit, wind power unit, and photovoltaic unit, model the classic unit-level instruction allocation calculation method, and establish an improved unit-level instruction allocation calculation method that takes into account the significant changes in wind and solar resources during the frequency modulation process; The power response module is used to model the dynamic response characteristics of the energy storage unit, wind power unit, and photovoltaic unit, and convert them into a discrete model in the time domain according to the finite difference method, and transmit the calculated unit active power instructions to the energy storage unit, wind power unit, and photovoltaic unit for power output.

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 improved instruction allocation calculation method considering the significant changes in wind and solar resources during the frequency modulation process described in any one of claims 1-4 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 improved instruction allocation calculation method according to any one of claims 1 to 4 are implemented, which takes into account the significant changes in wind and solar resources during the frequency modulation process.

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