Improved instruction distribution calculation method and system considering great change of wind and light resources in frequency modulation process, electronic equipment and medium

Abstract

The invention provides an improved instruction distribution calculation method and system considering large change of wind and light resources in a frequency modulation process, electronic equipment and a medium, and belongs to the technical field of power system frequency stability control, and the method comprises the following steps: S1, building a control architecture and a classical instruction distribution calculation method applied to a wind and light storage new energy station; s2, establishing a frequency modulation instruction distribution calculation method considering the great change of wind and light resources in the frequency modulation process; and S3, carrying out dynamic response characteristic modeling on the wind power unit, the photovoltaic unit and the energy storage unit, converting into a discretization model in a time domain according to a finite difference method, and carrying out power output on the wind power unit, the photovoltaic unit and the energy storage unit in combination with the frequency modulation instruction distribution calculation method in the step S2. According to the method, correct calculation and allocation of frequency modulation instructions under different wind and light resources can be realized, and the frequency supporting capability of a new energy station is improved.

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 equipment and medium that take into account the significant changes in wind and solar resources during frequency modulation. Background Art

[0002] New energy stations have many control objects, many control levels, are greatly affected by wind and solar resources, and are difficult to coordinate and control. Existing research on new energy stations can no longer deal with the problems and demands faced by large changes in wind and solar resources during the frequency modulation process. How to better deal with the large changes in wind and solar resources during the frequency modulation process of new energy stations and reasonably coordinate various control objects has become an important research direction.

[0003] However, under the classic command allocation calculation method, when the wind and solar resources change significantly during the frequency modulation process, a command reversal problem will occur, and the adjustable resources of each control object cannot be effectively utilized, and the frequency support capacity of the new energy station cannot be fully utilized.

[0004] Therefore, it is necessary to provide an improved instruction allocation calculation method, system, electronic device and medium that take into account the significant changes in wind and solar 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 take into account the significant changes in wind and solar resources during the frequency modulation process. It can better cope with the correct allocation and calculation of frequency modulation instructions for multiple control objects in the scenario where wind and solar resources change during the frequency modulation process. At the same time, the response characteristics of wind power, photovoltaics and energy storage are modeled, and converted from the frequency domain to the time domain through the finite difference method. It can accurately characterize the response of each unit under the improved instruction allocation calculation method, which is conducive to optimizing the method from the perspective of wind and solar resource uncertainty when controlling more complex and diverse new energy stations in the future, thereby improving the frequency support capacity of new energy stations.

[0006] To achieve the above object, the present invention provides an improved instruction allocation calculation method that takes into account the significant changes in wind and solar resources during frequency modulation, comprising the following steps:

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

[0008] 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;

[0009] Step S3, model the dynamic response characteristics of 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 of step S2 to output power to the wind power, photovoltaic and energy storage units.

[0010] Preferably, 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 distribute the power command to the wind power, photovoltaic and energy storage units.

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

[0012] 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;

[0013]

[0014] 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;

[0015] 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:

[0016]

[0017] in, They are the total power instructions allocated to the energy storage power source, photovoltaic power source, and wind power source respectively;

[0018] 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;

[0019]

[0020] 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 instruction of the energy storage unit, wind power unit and photovoltaic unit i at time tn+1.

[0021] Preferably, 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, and the specific operations are:

[0022]

[0023] 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.

[0024] Preferably, the dynamic response characteristics of wind power, photovoltaic and energy storage units are modeled, and the specific operations are as follows:

[0025]

[0026]

[0027] 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.

[0028] Preferably, the finite difference method is converted into a discretized model in the time domain, and the frequency modulation instruction allocation calculation method of step S2 is combined to output power to the wind power, photovoltaic and energy storage units. The specific operations are:

[0029]

[0030] 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.

[0031] The present invention also provides an improved instruction allocation calculation system that takes into account the significant changes in wind and solar resources during frequency modulation, including:

[0032] 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;

[0033] 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;

[0034] 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.

[0035] A computer device includes: a memory and a processor; the memory stores a computer program, and 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 are implemented.

[0036] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the improved instruction allocation calculation method that takes into account the significant changes in wind and solar resources during the frequency modulation process.

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

[0038] (1) Avoid the problem of frequency modulation command reversal in scenarios where wind and solar resources vary significantly;

[0039] (2) The improved command allocation logic can realize the maximum utilization of wind and solar resources and enhance the frequency support capability of new energy stations. BRIEF 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 map of wind power resources at a new energy station when the present invention calculates the instruction allocation;

[0042] Figure 3 It is the instruction allocation diagram under the boundary conditions of the first embodiment;

[0043] Figure 4 This is a diagram comparing instruction allocation under the boundary conditions of the first embodiment;

[0044] Figure 5 is a comparison diagram of active power response under different natural resource scenarios under the boundary conditions of the first embodiment; wherein, Figure 5 (a) is the comparison diagram of the total wind power response under scenario a; Figure 5 (b) is the comparison diagram of the total wind power response under scenario b; Figure 5 (c) is the comparison diagram of the total wind power response under scenario c; Figure 5 (d) is the comparison diagram of the total wind power response under scenario d;

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

[0046] The technical solution of the present invention is further described below through the accompanying drawings and embodiments.

[0047] Unless otherwise defined, technical or scientific terms used in the present invention shall have the common meanings understood by one having ordinary skills in the field to which the present invention belongs.

[0048] Embodiment 1

[0049] The present invention provides an improved instruction allocation calculation method considering the significant change of wind and solar resources during frequency modulation, comprising the following steps:

[0050] Step S1: Figure 1As shown, a control architecture and a classical instruction allocation calculation method for wind, solar and storage new energy stations are established;

[0051] 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. The wind power EMS, photovoltaic data acquisition and energy storage cooperative control then distribute the power command to the wind power, photovoltaic and energy storage units.

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

[0053] 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;

[0054]

[0055] 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;

[0056] 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:

[0057]

[0058] in, They are the total power instructions allocated to the energy storage power source, photovoltaic power source, and wind power source respectively;

[0059] 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;

[0060]

[0061] 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 instruction of the energy storage unit, wind power unit and photovoltaic unit i at time tn+1.

[0062] Step S2: Establish a frequency modulation instruction allocation calculation method that takes into account the significant changes in wind and solar resources during the frequency modulation process. The specific operations are:

[0063]

[0064]

[0065] 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.

[0066] Step S3: Dynamic response characteristic modeling of wind power, photovoltaic and energy storage units is performed, and the models are converted into discretized models in the time domain according to the finite difference method. Combined with the frequency modulation instruction allocation calculation method of step S2, power output of wind power, photovoltaic and energy storage units is performed. The specific operations are as follows:

[0067]

[0068] 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.

[0069]

[0070]

[0071] 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.

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

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

[0074] Scenario a: During frequency modulation, both cluster 1 and cluster 2 have sufficient wind resources, 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 power that can be generated by cluster 1 and cluster 2 at time tn, P AGCt0,1 , P AGCt0,1 They are the AGC instructions for cluster 1 and cluster 2 in steady state. is the total theoretical power increment of the station.

[0075] Scenario b: During frequency modulation, both cluster 1 and cluster 2 have insufficient wind resources, that is, P maxtn,1 <P AGCt0,1 ,P maxtn,2 <P AGCt0,2

[0076] Scenario c: During the frequency modulation process, the wind resources of group 1 are insufficient, while the wind resources of group 2 are sufficient and can make up for the shortage of wind resources of 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 group 1 are insufficient, and the wind resources of group 2 are sufficient but not enough to make up for the shortage of wind resources of group 1, that is, P maxtn,1 <P AGCt0,1 ,P maxtn,2 >P AGCt0,2 and

[0078] Taking a negative frequency step of 0.1Hz as the frequency disturbance signal, the total power theoretical increment is 35.3MW. Figure 2 The maximum power curves of clusters 1 and 2 when calculating the allocation instructions. Figure 3 The frequency modulation instructions allocated to cluster 1 and cluster 2 under the classic instruction allocation calculation method are shown. It can be found that when the wind resources change significantly during the frequency modulation process, the instructions allocated to cluster 1 are lower than the steady-state operating point, that is, the instructions are reversed; at the same time, cluster 2 with better wind resources cannot compensate for the decrease in the instructions of the cluster in time, that is, there is an instruction shortage problem. Figure 4 The frequency modulation instructions allocated to clusters 1 and 2 under the improved instruction allocation calculation method show that when the wind resources change significantly, the power instructions of clusters 1 and 2 have neither instruction reversal nor instruction shortage.

[0079] Figure 5 The total response curves of cluster 1 and cluster 2 under the classic command allocation calculation method and the improved command allocation calculation method in different wind resource scenarios are shown. By comparing the response curves, the following conclusions can be drawn:

[0080] Table 1 Response results under classic instruction allocation and improved instruction allocation

[0081]

[0082] Embodiment 2

[0083] like Figure 6 As shown, the present invention also provides an improved instruction allocation calculation system that takes into account the significant changes in wind and solar resources during frequency modulation, including:

[0084] 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;

[0085] 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;

[0086] 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.

[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, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program code.

[0088] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0089] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0090] It is worth noting that the contents not elaborated in detail in the present invention are all prior art and are well known to those skilled in the art.

[0091] Therefore, the present invention adopts the above-mentioned improved instruction allocation calculation method, system, electronic device and medium that take into account the significant changes in wind and solar resources during the frequency modulation process, which can realize the correct calculation and allocation of frequency modulation instructions under different wind and solar resources, and improve the frequency support capability of new energy sites.

[0092] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that they can still modify or replace the technical solution of the present invention with equivalents, and these modifications or equivalent replacements cannot cause the modified technical solution to deviate from the spirit and scope of the technical solution 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, model the dynamic response characteristics of 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 of step S2 to output power to the wind power, photovoltaic and energy storage units.

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: 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 instruction of the energy storage unit, wind power unit and photovoltaic unit i at time tn+1.

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: 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.

5. The improved instruction allocation calculation method according to claim 4, 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.

6. The improved instruction allocation calculation method according to claim 5, 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.

7. An improved instruction allocation calculation system considering the large changes in wind and solar resources during frequency modulation, characterized in that: include: 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 supply, wind power supply and photovoltaic power supply; 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.

8. 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 taking into account the significant changes in wind and solar resources during the frequency modulation process as described in any one of claims 1-6 are implemented.

9. 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 for taking into account the significant changes in wind and solar resources during the frequency modulation process as described in any one of claims 1-6 are implemented.

Images