CN113507141B - Virtual power plant equivalent closed-loop control method, system, electronic device and storage medium - Google Patents

Abstract

The present invention relates to the field of power system operation and control, and discloses a virtual power plant equivalent closed-loop control method, system, electronic device and storage medium, the method comprising: receiving a power grid regulation instruction; judging whether the regulation instruction is within the control capability of the virtual power plant and allocating controllable resources to form control instructions for each controllable resource; in each sampling period of the virtual power plant, the controllable resources operate according to the allocated control instructions, monitor and calculate the response power of each controllable resource; judge whether the response power of each controllable resource is sufficient; when there is insufficient response power of the controllable resource, calculate the potential response shortfall and regularly use it as a new control instruction; otherwise, end this control. The present invention takes into account the uncertainty of load-side resource response, makes full use of the historical response data of the controllable resources, performs cyclic iterative correction on the response deviation of the controllable resources, and gradually approaches the control target of the virtual power plant, thereby achieving equivalent closed-loop precise control.

Description

Virtual power plant equivalent closed-loop control method, system, electronic device and storage medium

Technical Field

The present invention relates to the field of power system operation and control, and in particular to a virtual power plant equivalent closed-loop control method, system, electronic equipment and storage medium taking into account the uncertainty of load-side resource response.

Background technique

Controllable load: refers to the load of specific users whose electricity consumption can be restricted for a period of time according to the contract at the request of the power supply department.

Virtual power plant: a power coordination management system that uses advanced information and communication technologies and software systems to aggregate and coordinate distributed power sources, energy storage systems, controllable loads, electric vehicles and other resources to participate in the spot market and power grid operations as a special power plant.

Load-side resources such as electric vehicles, energy storage, air conditioners, and smart buildings are the control objects of virtual power plants. They can receive and execute power regulation instructions, providing virtual power plants with rich power regulation potential. However, a large number of load-side resources are constrained by users' production and living electricity needs, and their response power has obvious autonomy and uncertainty. Moreover, when overregulation or underregulation occurs, the virtual power plant cannot provide feedback and correction to the control instructions. Therefore, it is difficult for the virtual power plant to achieve traditional closed-loop control of its internal load-side controllable resources. How to improve control accuracy has become an urgent problem to be solved in the control of virtual power plants.

Summary of the invention

The purpose of the present invention is to provide a virtual power plant equivalent closed-loop control method, system, electronic device and storage medium, taking into account the uncertainty of load-side resource response, making full use of the historical response data of controllable resources, performing cyclic iterative correction on the response deviation of controllable resources, and gradually approaching the control target of the virtual power plant, thereby achieving equivalent closed-loop precise control.

In order to achieve the above object, the present invention adopts the following technical solution:

In a first aspect, the present invention provides a virtual power plant equivalent closed-loop control method, comprising the following steps:

Receive grid regulation instructions;

Determine whether the adjustment instruction is within the control capability of the virtual power plant; when the adjustment instruction exceeds the maximum adjustment capability of the virtual power plant, the virtual power plant controls according to the maximum adjustment capability, fully allocates the controllable resources under its jurisdiction to form the first control instruction for each controllable resource, and feedbacks the control instruction shortage that has not been responded to; when the adjustment instruction does not exceed the maximum adjustment capability of the virtual power plant, the adjustment instruction is allocated among the internal controllable resources to form the second control instruction for each controllable resource;

The controllable resources operate according to the allocated first control instruction or the second control instruction, and the response power of each controllable resource is monitored and calculated in each sampling period of the virtual power plant;

Determine whether the response power of each controllable resource is sufficient; when the response power of a controllable resource is insufficient, calculate the potential response shortfall and use it as a new control instruction regularly; otherwise, end this control.

A further improvement of the present invention is that in the step of determining whether the adjustment instruction is within the control capability range of the virtual power plant, the determination basis is as shown in formula (1):

Where, P _obj is the grid regulation command; P _VPPmax represents the maximum regulation capacity of the virtual power plant; P _imax represents the maximum regulation capacity of the controllable resource i in the virtual power plant; N represents the number of controllable resources in the virtual power plant; S _i represents the response reliability of the controllable resource i, which is statistically calculated by formula (2);

s _i ＝Pr{P _iact |P _iact ≥P _iiss } (2)

_Piact is the actual response power of controllable resource i, and _Piiss is the control instruction of controllable resource i.

A further improvement of the present invention is that: when the regulation instruction exceeds the maximum regulation capacity of the virtual power plant, the virtual power plant controls according to the maximum regulation capacity, fully allocates the controllable resources under its jurisdiction to form the first control instruction of each controllable resource, and feeds back the control instruction shortfall that cannot be responded to, the control instruction shortfall △P that cannot be responded to is calculated by formula (3);

A further improvement of the present invention is that: when the regulation instruction exceeds the maximum regulation capacity of the virtual power plant, the virtual power plant controls according to the maximum regulation capacity, fully allocates the controllable resources under its jurisdiction to form the first control instruction of each controllable resource, and feeds back the control instruction shortage that cannot be responded to, the first control instruction of each controllable resource under the full allocation of the controllable resources under its jurisdiction is calculated by formula (4):

P _iiss =P _imax (4).

A further improvement of the present invention is that when the regulation instruction does not exceed the maximum regulation capacity of the virtual power plant, the step of allocating the regulation instruction among the internal controllable resources to form the second control instruction of each controllable resource specifically includes:

The grid regulation instructions are allocated among the internal controllable resources according to the following allocation principle: sort the resources in descending order of priority according to their response reliability, and first select the controllable resources with high response reliability to allocate control instructions until formula (5) is satisfied; the second control instruction of each controllable resource is calculated according to formula (6);

P _iiss ＝P _imax ·s _i (6)

Where ε is the allowable control deviation of the virtual power plant; _αi is the per-unit value of the historical maximum positive response deviation of controllable resource i.

A further improvement of the present invention is that the step of determining whether the response power of each controllable resource is sufficient specifically includes:

The controllable resources are divided into two categories: one is the continuous adjustment type, which is judged based on the historical response speed and the current response power, as shown in formula (9); the other is the discrete adjustment type, which is judged based on the comparison between the historical response power and the current response power, as shown in formula (10);

v _i kT _sca -P _iact (t _k )≤ε _i (9)

P _{iact_his} (t _k )-P _iact (t _k )≤ε _i (10)

Wherein, _Piact (t _k ) is the response power of controllable resource i in the kth sampling period; _vi is the historical statistical response speed of controllable resource i, T _sca is the sampling period of virtual power plant for controllable resources, and _{Piact_his} (t _k ) is the historical response power of controllable resource i.

A further improvement of the present invention is that when there is insufficient controllable resource response power, the step of calculating the potential response shortfall and periodically using it as a new control instruction specifically includes:

The potential response deficit P _vac that may be generated is calculated according to formula (11) and is periodically used as a new control instruction;

Where Φ _vac is the set of controllable resources with insufficient response; _Pivac (t _k ) is the potential response shortfall generated by controllable resource i; the potential response shortfall of continuously adjustable controllable resources is calculated by formula (12), and the potential response shortfall of discrete adjustable controllable resources is calculated by formula (13):

P _ivac (t _k ) = P _iiss · [ v _i k T _sca - _{P iact} (t _k )] / v _i k T _sca (12)

_Pivac ( _tk ) = _Piiss · [ _{Piactu_his} ( _tk ) - _Piact ( _tk )] / _{Piact_his} ( _tk ) (13).

In a second aspect, the present invention provides a virtual power plant equivalent closed-loop control device, comprising:

A receiving module, used for receiving power grid regulation instructions;

The first judgment module is used to judge whether the adjustment instruction is within the control capability of the virtual power plant; when the adjustment instruction exceeds the maximum adjustment capability of the virtual power plant, the virtual power plant controls according to the maximum adjustment capability, fully allocates the controllable resources under its jurisdiction to form control instructions for each controllable resource, and feedbacks the control instruction shortage that has not been responded to; when the adjustment instruction does not exceed the maximum adjustment capability of the virtual power plant, the adjustment instruction is allocated among the internal controllable resources to form control instructions for each controllable resource;

A monitoring module is used to monitor and calculate the response power of each controllable resource in each sampling period of the virtual power plant, when the controllable resources operate according to the assigned control instructions;

The second judgment module is used to judge whether the response power of each controllable resource is sufficient; when the response power of a controllable resource is insufficient, the potential response shortage is calculated and regularly used as a new control instruction; otherwise, the current control is terminated.

In a third aspect, the present invention provides an electronic device, comprising a processor and a memory, wherein the processor is used to execute a computer program stored in the memory to implement the virtual power plant equivalent closed-loop control method.

In a fourth aspect, the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores at least one instruction, and when the at least one instruction is executed by a processor, the virtual power plant equivalent closed-loop control method is implemented.

Compared with the prior art, the present invention has the following beneficial effects:

The present invention provides a virtual power plant equivalent closed-loop control method, system, electronic device and storage medium. First, the control instructions of the controllable resources under its jurisdiction are decomposed by considering the historical maximum positive response deviation. Then, within the control cycle of the virtual power plant, the historical response statistical data of each controllable resource are used to monitor and predict the response of each controllable resource, calculate the potential power shortage within this control cycle, and use it as a new control target to perform cyclic iterative control on the controllable resources that have not participated in the adjustment, gradually approaching the control target of the virtual power plant, thereby achieving equivalent closed-loop precise control; the power control accuracy of the virtual power plant can be improved on the basis of meeting the user's electricity demand constraints.

BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying drawings constituting a part of the present invention are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the accompanying drawings:

FIG1 is a flow chart of a virtual power plant equivalent closed-loop control method according to the present invention;

FIG2 is a structural block diagram of a virtual power plant equivalent closed-loop control device according to the present invention;

FIG3 is a structural block diagram of an electronic device according to the present invention.

Detailed ways

The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that the embodiments and features in the embodiments of the present invention can be combined with each other without conflict.

The following detailed description is an exemplary description, which is intended to provide further detailed description of the present invention. Unless otherwise specified, all technical terms used in the present invention have the same meaning as those generally understood by those skilled in the art to which the present invention belongs. The terms used in the present invention are only for describing specific embodiments, and are not intended to limit the exemplary embodiments according to the present invention.

Example 1

Referring to FIG. 1 , the present invention provides a virtual power plant equivalent closed-loop control method, comprising the following steps:

S1: The virtual power plant receives the control instruction issued by the power grid and starts to coordinate internal resources to respond to the power grid control instruction; the power grid control instruction is P _obj .

S2: Determine whether the grid regulation instruction is within the control capability of the virtual power plant. The judgment basis is shown in formula (1). When formula (1) is established, it means that the regulation instruction is within the control capability of the virtual power plant, and go to step S4; when formula (1) is not established, it means that the regulation instruction is not within the control capability of the virtual power plant, and go to step S3;

Where P _VPPmax represents the maximum regulation capacity of the virtual power plant; P _imax represents the maximum regulation capacity of controllable resource i in the virtual power plant; N represents the number of controllable resources in the virtual power plant; S _i represents the response reliability of controllable resource i, that is, the probability that the actual response power in the historical response sample meets the control instruction, which is statistically calculated by formula (2).

s _i ＝Pr{P _iact |P _iact ≥P _iiss } (2)

Where _Piact is the actual response power of controllable resource i, and _Piiss is the control instruction of controllable resource i.

S3: When the regulation command exceeds the maximum regulation capacity of the virtual power plant, the virtual power plant controls according to the maximum regulation capacity, fully allocates the controllable resources under its jurisdiction to form control commands for each controllable resource, and feeds back the control command shortfall that cannot be responded to the power grid control center. The control command shortfall that cannot be responded to is calculated by formula (3). In this case, the control command for each controllable resource is calculated by formula (4).

P _iiss ＝P _imax (4)

S4: When the grid regulation command does not exceed the maximum regulation capacity of the virtual power plant, the grid regulation command is distributed among the internal controllable resources to form the control command of each controllable resource. The distribution principle is as follows: sort the resources in reverse order of priority according to their response reliability, and give priority to the controllable resources with high response reliability to allocate control commands until formula (5) is satisfied. The control command of each resource is calculated according to formula (6). Go to S5. Note that when distributing power commands, control commands will no longer be distributed to controllable resources that have participated in regulation in this control cycle.

P _iiss ＝P _imax ·s _i (6)

Where ε is the allowable control deviation of the virtual power plant, which is 0.01MW by default and can also be adjusted according to the grid demand and the control conditions of the virtual power plant itself; _αi is the per-unit value of the historical maximum positive response deviation of controllable resource i, calculated by formula (7).

α _i =(P _i0act -P _i0iss )/P _i0iss (7)

Where P _i0act is the actual response power under the scenario of the maximum positive response deviation in history of controllable resource i, and P _i0iss is the control instruction under the scenario of the maximum positive response deviation in history of controllable resource i.

S5: In each sampling period of the virtual power plant, the controllable resources operate according to the assigned control instructions, and the response power _Piact ( _tk ) of each controllable resource is monitored and calculated. The calculation formula is referred to formula (8). Go to S6.

_Piact ( _tk )＝ _Pi ( _tk ) _-PiBase (8)

Where _tk is the kth sampling period in the current control period of the virtual power plant, _Pi ( _tk ) is the active power of the controllable resource i in the kth sampling period, and _PiBase is the baseline power of the controllable resource i.

S6: Determine whether the response power of each controllable resource is sufficient. The controllable resources are divided into two categories: one is the continuous adjustment type, which is judged based on the historical response speed and the current response power, as shown in formula (9); the other is the discrete adjustment type, which is judged based on the comparison of the historical response power and the current response power, as shown in formula (10). When there is an insufficient response of the adjustment resource, turn to S7; when all the adjustment resources respond sufficiently, turn to S8;

v _i kT _sca -P _iact (t _k )≤ε _i (9)

P _{iact_his} (t _k )-P _iact (t _k )≤ε _i (10)

Wherein, _vi is the historical statistical response speed of controllable resource i, _Tsca is the sampling period of the virtual power plant to the controllable resource, _{Piact_his} ( _tk ) is the historical response power of controllable resource i, and is the allowable deviation of the virtual power plant to controllable resource i, which can be 1%-5% of its maximum response capacity.

S7: When there is insufficient regulation of controllable resources, the potential response shortfall P _vac that may be generated is calculated according to formula (11) and is periodically used as a new control instruction, turning to S4.

Where Φ _vac is the set of controllable resources with insufficient response; _Pivac (t _k ) is the potential response shortfall generated by controllable resource i. Depending on the load type, the potential response shortfall of continuously regulated controllable resources is calculated by formula (12), and the potential response shortfall of discrete regulated controllable resources is calculated by formula (13):

P _ivac (t _k ) = P _iiss · [ v _i k T _sca - _{P iact} (t _k )] / v _i k T _sca (12)

_Pivac (t _k ) = _Piiss · [P _{iact _ his} (t _k ) - _Piact (t _k )] / _{Piact _ his} (t _k ) (13)

S8: Determine whether the total amount of virtual power plant regulation reaches the control target. If not, go to step S5 and continue to monitor the response of each controllable resource. If the control target is reached, end this control process.

Example 2

Referring to FIG. 2 , the present invention provides a virtual power plant equivalent closed-loop control device, comprising:

A receiving module, used for receiving power grid regulation instructions;

The first judgment module is used to judge whether the adjustment instruction is within the control capability of the virtual power plant; when the adjustment instruction exceeds the maximum adjustment capability of the virtual power plant, the virtual power plant controls according to the maximum adjustment capability, fully allocates the controllable resources under its jurisdiction to form control instructions for each controllable resource, and feedbacks the control instruction shortage that has not been responded to; when the adjustment instruction does not exceed the maximum adjustment capability of the virtual power plant, the adjustment instruction is allocated among the internal controllable resources to form control instructions for each controllable resource;

A monitoring module is used to monitor and calculate the response power of each controllable resource in each sampling period of the virtual power plant, when the controllable resources operate according to the assigned control instructions;

The second judgment module is used to judge whether the response power of each controllable resource is sufficient; when the response power of a controllable resource is insufficient, the potential response shortage is calculated and regularly used as a new control instruction; otherwise, the current control is terminated.

In the step of determining whether the adjustment instruction is within the control capability range of the virtual power plant, the determination basis is as shown in formula (1):

Where, P _obj is the power grid control command; P _VPPmax represents the maximum regulation capacity of the virtual power plant; P _imax represents the maximum regulation capacity of the controllable resource i in the virtual power plant; N represents the number of controllable resources in the virtual power plant; S _i represents the response reliability of the controllable resource i, which is statistically calculated by formula (2);

s _i ＝Pr{P _iact |P _iact ≥P _iiss } (2)

_Piact is the actual response power of controllable resource i, and _Piiss is the control instruction of controllable resource i.

When the regulation instruction exceeds the maximum regulation capacity of the virtual power plant, the virtual power plant controls according to the maximum regulation capacity, fully allocates the controllable resources under its jurisdiction to form control instructions for each controllable resource, and feeds back the control instruction shortfall that cannot be responded to, the control instruction shortfall △P that cannot be responded to is calculated by formula (3);

When the regulation instruction exceeds the maximum regulation capacity of the virtual power plant, the virtual power plant controls according to the maximum regulation capacity, fully allocates the controllable resources under its jurisdiction to form control instructions for each controllable resource, and feeds back the control instruction shortage that has not been responded to. The control instructions for each controllable resource under the full allocation of the controllable resources under its jurisdiction are calculated by formula (4):

P _iiss =P _imax (4).

When the control instruction does not exceed the maximum regulation capability of the virtual power plant, the step of allocating the regulation instruction among the internal controllable resources specifically includes:

The grid regulation instructions are allocated among the internal controllable resources. The allocation principle is as follows: sort the resources in descending order of priority according to their response reliability, and first select the controllable resources with high response reliability to allocate control instructions until formula (5) is satisfied; the control instructions of each controllable resource are calculated according to formula (6);

P _iiss ＝P _imax ·s _i (6)

Where ε is the allowable control deviation of the virtual power plant; _αi is the per-unit value of the historical maximum positive response deviation of controllable resource i.

The step of determining whether the response power of each controllable resource is sufficient specifically includes:

The controllable resources are divided into two categories: one is the continuous adjustment type, which is judged based on the historical response speed and the current response power, as shown in formula (9); the other is the discrete adjustment type, which is judged based on the comparison between the historical response power and the current response power, as shown in formula (10);

v _i kT _sca -P _iact (t _k )≤ε _i (9)

P _{iact_his} (t _k )-P _iact (t _k )≤ε _i (10)

Wherein, _Piact (t _k ) is the response power of controllable resource i in the kth sampling period; _vi is the historical statistical response speed of controllable resource i, T _sca is the sampling period of virtual power plant for controllable resources, and _{Piact_his} (t _k ) is the historical response power of controllable resource i.

When there is insufficient response power of controllable resources, the step of calculating the potential response shortfall and periodically using it as a new control instruction specifically includes:

The potential response deficit P _vac that may be generated is calculated according to formula (11) and is periodically used as a new control instruction;

Where Φ _vac is the set of controllable resources with insufficient response; _Pivac (t _k ) is the potential response shortfall generated by controllable resource i; the potential response shortfall of continuously adjustable controllable resources is calculated by formula (12), and the potential response shortfall of discrete adjustable controllable resources is calculated by formula (13):

P _ivac (t _k ) = P _iiss · [ v _i k T _sca - _{P iact} (t _k )] / v _i k T _sca (12)

_Pivac ( _tk ) = _Piiss · [ _{Piactu_his} ( _tk ) - _Piact ( _tk )] / _{Piact_his} ( _tk ) (13).

Example 3

Please refer to Figure 3, the present invention also provides an electronic device 100 for an equivalent closed-loop control method of a virtual power plant; the electronic device 100 includes a memory 101, at least one processor 102, a computer program 103 stored in the memory 101 and executable on the at least one processor 102, and at least one communication bus 104.

The memory 101 can be used to store the computer program 103, and the processor 102 implements the method steps of the virtual power plant equivalent closed-loop control method described in Example 1 by running or executing the computer program stored in the memory 101 and calling the data stored in the memory 101. The memory 101 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area can store data (such as audio data) created according to the use of the electronic device 100, etc. In addition, the memory 101 can include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (FlashCard), at least one disk storage device, a flash memory device, or other non-volatile solid-state storage devices.

The at least one processor 102 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The processor 102 may be a microprocessor or any conventional processor, etc. The processor 102 is the control center of the electronic device 100, and uses various interfaces and lines to connect various parts of the entire electronic device 100.

The memory 101 in the electronic device 100 stores a plurality of instructions to implement a virtual power plant equivalent closed-loop control, and the processor 102 can execute the plurality of instructions to implement:

Receive grid regulation instructions;

Determine whether the regulation instruction is within the control capability of the virtual power plant; when the regulation instruction exceeds the maximum regulation capability of the virtual power plant, the virtual power plant controls according to the maximum regulation capability, fully allocates the controllable resources under its jurisdiction to form control instructions for each controllable resource, and feedbacks the control instruction shortage that has not been responded to; when the regulation instruction does not exceed the maximum regulation capability of the virtual power plant, the regulation instruction is allocated among the internal controllable resources to form control instructions for each controllable resource;

The controllable resources operate according to the assigned control instructions, and the response power of each controllable resource is monitored and calculated in each sampling period of the virtual power plant;

Determine whether the response power of each controllable resource is sufficient; when the response power of a controllable resource is insufficient, calculate the potential response shortfall and use it as a new control instruction regularly; otherwise, end this control.

Specifically, the specific implementation method of the processor 102 for the above instructions can refer to the description of the relevant steps in Example 1, which will not be repeated here.

Example 4

If the module/unit integrated in the electronic device 100 is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the process in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device that can carry the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory and read-only memory (ROM, Read-Only Memory).

Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented 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.

The present invention is described with reference to the flowchart and/or block diagram of the method, device (system), and computer program product according to the embodiment of the present invention. It should be understood that each process and/or box in the flowchart and/or block diagram, as well as the combination of the process and/or box in the flowchart and/or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce a device for implementing the functions specified in one or more processes in the flowchart and/or one or more boxes in the block diagram.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction device that implements the functions specified in one or more processes in the flowchart and/or one or more boxes in the block diagram.

These computer program instructions may also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more processes in the flowchart and/or one or more boxes in the block diagram.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements 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 (8)

1. A virtual power plant equivalent closed-loop control method, characterized in that it comprises the following steps: Receive grid regulation instructions; Determine whether the adjustment instruction is within the control capability of the virtual power plant; when the adjustment instruction exceeds the maximum adjustment capability of the virtual power plant, the virtual power plant controls according to the maximum adjustment capability, fully allocates the controllable resources under its jurisdiction to form the first control instruction for each controllable resource, and feedbacks the control instruction shortage that has not been responded to; when the adjustment instruction does not exceed the maximum adjustment capability of the virtual power plant, the adjustment instruction is allocated among the internal controllable resources to form the second control instruction for each controllable resource; The controllable resources operate according to the allocated first control instruction or the second control instruction, and the response power of each controllable resource is monitored and calculated in each sampling period of the virtual power plant; Determine whether the response power of each controllable resource is sufficient; when the response power of a controllable resource is insufficient, calculate the potential response shortfall and use it as a new control instruction regularly; otherwise, end this control; The step of distributing the adjustment instruction among the internal controllable resources to form the second control instruction of each controllable resource when the adjustment instruction does not exceed the maximum adjustment capacity of the virtual power plant specifically includes: The grid regulation instructions are allocated among the internal controllable resources according to the following allocation principle: sort the resources in descending order of priority according to their response reliability, and first select the controllable resources with high response reliability to allocate control instructions until formula (5) is satisfied; the second control instruction of each controllable resource is calculated according to formula (6); P _iiss ＝P _imax ·s _i (6) Where, P _obj is the grid regulation instruction; N is the number of controllable resources in the virtual power plant; α _i is the per-unit value of the historical maximum positive response deviation of controllable resource i; ε is the allowable control deviation of the virtual power plant; P _imax is the maximum regulation capacity of controllable resource i in the virtual power plant; S _i is the response reliability of controllable resource i; P _iiss is the control instruction of controllable resource i; The step of determining whether the response power of each controllable resource is sufficient specifically includes: The controllable resources are divided into two categories: one is the continuous adjustment type, which is judged based on the historical response speed and the current response power, as shown in formula (9); the other is the discrete adjustment type, which is judged based on the comparison between the historical response power and the current response power, as shown in formula (10); v _i kT _sca -P _iact (t _k )≤ε _i (9) P _{iact_his} (t _k )-P _iact (t _k )≤ε _i (10) Wherein, _Piact (t _k ) is the response power of controllable resource i in the kth sampling period; _vi is the historical statistical response speed of controllable resource i, T _sca is the sampling period of virtual power plant for controllable resources, and _{Piact_his} (t _k ) is the historical response power of controllable resource i. 2. The virtual power plant equivalent closed-loop control method according to claim 1 is characterized in that, in the step of determining whether the adjustment instruction is within the control capability range of the virtual power plant, the determination basis is as shown in formula (1): Where P _VPPmax represents the maximum regulation capacity of the virtual power plant; S _i is statistically calculated by formula (2); s _i ＝Pr{P _iact |P _iact ≥P _iiss } (2) _Piact is the actual response power of controllable resource i. 3. The virtual power plant equivalent closed-loop control method according to claim 2 is characterized in that when the regulation instruction exceeds the maximum regulation capacity of the virtual power plant, the virtual power plant is controlled according to the maximum regulation capacity, the first control instruction of each controllable resource is fully allocated to the controllable resources under its jurisdiction, and in the step of feeding back the control instruction shortfall that cannot be responded to, the control instruction shortfall ΔP that cannot be responded to is calculated by formula (3); 4. The virtual power plant equivalent closed-loop control method according to claim 3 is characterized in that when the adjustment instruction exceeds the maximum adjustment capacity of the virtual power plant, the virtual power plant is controlled according to the maximum adjustment capacity, the first control instruction of each controllable resource is fully allocated to the controllable resources under its jurisdiction, and the shortfall of the control instruction that cannot be responded is fed back. The first control instruction of each controllable resource under the full allocation of the controllable resources under its jurisdiction is calculated by formula (4): P _iiss =P _imax (4). 5. The virtual power plant equivalent closed-loop control method according to claim 1 is characterized in that when there is insufficient controllable resource response power, the step of calculating the potential response shortfall and periodically using it as a new control instruction specifically includes: The potential response deficit P _vac that may be generated is calculated according to formula (11) and is periodically used as a new control instruction; Where Φ _vac is the set of controllable resources with insufficient response; _Pivac (t _k ) is the potential response shortfall generated by controllable resource i; the potential response shortfall of continuously adjustable controllable resources is calculated by formula (12), and the potential response shortfall of discrete adjustable controllable resources is calculated by formula (13): P _ivac (t _k ) = P _iiss · [ v _i k T _sca - _{P iact} (t _k )] / v _i k T _sca (12) _Pivac ( _tk ) = _Piiss · [ _{Piactu_his} ( _tk ) - _Piact ( _tk )] / _{Piact_his} ( _tk ) (13). 6. A virtual power plant equivalent closed-loop control device, characterized in that it includes: A receiving module, used for receiving power grid regulation instructions; The first judgment module is used to judge whether the adjustment instruction is within the control capability of the virtual power plant; when the adjustment instruction exceeds the maximum adjustment capability of the virtual power plant, the virtual power plant controls according to the maximum adjustment capability, fully allocates the controllable resources under its jurisdiction to form the first control instruction of each controllable resource, and feedbacks the control instruction shortage that cannot be responded; when the adjustment instruction does not exceed the maximum adjustment capability of the virtual power plant, the adjustment instruction is allocated among the internal controllable resources to form the second control instruction of each controllable resource; A monitoring module, used for monitoring and calculating the response power of each controllable resource in each sampling period of the virtual power plant, when the controllable resource operates according to the allocated first control instruction or second control instruction; The second judgment module is used to judge whether the response power of each controllable resource is sufficient; when the response power of a controllable resource is insufficient, the potential response shortage is calculated and used as a new control instruction regularly; otherwise, the current control is terminated; The step of distributing the adjustment instruction among the internal controllable resources to form the second control instruction for each controllable resource when the adjustment instruction does not exceed the maximum adjustment capacity of the virtual power plant specifically includes: The grid regulation instructions are allocated among the internal controllable resources according to the following allocation principle: sort the resources in descending order of priority according to their response reliability, and first select the controllable resources with high response reliability to allocate control instructions until formula (5) is satisfied; the second control instruction of each controllable resource is calculated according to formula (6); P _iiss ＝P _imax ·s _i (6) Where, P _obj is the grid regulation instruction; N is the number of controllable resources in the virtual power plant; α _i is the per-unit value of the historical maximum positive response deviation of controllable resource i; ε is the allowable control deviation of the virtual power plant; P _imax is the maximum regulation capacity of controllable resource i in the virtual power plant; S _i is the response reliability of controllable resource i; P _iiss is the control instruction of controllable resource i; The step of determining whether the response power of each controllable resource is sufficient specifically includes: The controllable resources are divided into two categories: one is the continuous adjustment type, which is judged based on the historical response speed and the current response power, as shown in formula (9); the other is the discrete adjustment type, which is judged based on the comparison between the historical response power and the current response power, as shown in formula (10); v _i kT _sca -P _iact (t _k )≤ε _i (9) P _{iact_his} (t _k )-P _iact (t _k )≤ε _i (10) Wherein, _Piact (t _k ) is the response power of controllable resource i in the kth sampling period; _vi is the historical statistical response speed of controllable resource i, T _sca is the sampling period of virtual power plant for controllable resources, and _{Piact_his} (t _k ) is the historical response power of controllable resource i. 7. An electronic device, characterized in that the electronic device comprises a processor and a memory, and the processor is used to execute a computer program stored in the memory to implement the virtual power plant equivalent closed-loop control method as described in any one of claims 1 to 5. 8. A computer-readable storage medium, characterized in that the computer-readable storage medium stores at least one instruction, and when the at least one instruction is executed by a processor, it implements the virtual power plant equivalent closed-loop control method as described in any one of claims 1 to 5.