A collaborative control method and platform based on virtual power plant resources

Abstract

This invention relates to the field of power grid resource regulation technology, and particularly to a collaborative regulation method and platform based on virtual power plant resources. The method constructs a comprehensive transient power support index to accurately quantify the reactive power support and voltage stabilization capabilities, active power ramp-up voltage reduction impact, and capacity decay effect of a single node. This fundamentally resolves the coupling contradiction between active power ramp-up and voltage stability at a single node, achieving precise adaptation between the active power ramp-up rate and voltage safety. This ensures the local operational stability of the distribution network while fully leveraging the power regulation potential of a single node. A pure node-level decoupled control architecture is adopted, with all regulation calculations based on locally collected electrical quantities, inherent node parameters, and platform preset parameters. This eliminates the need for inter-node communication and collaboration, and avoids reliance on global cluster data. It features low computational complexity, fast response speed, and adaptability to the rapid control requirements of voltage transient fluctuations in the distribution network, while also avoiding the communication costs and data dependencies associated with inter-node collaboration.

Description

Technical Field

[0001] This invention relates to the field of power grid resource regulation technology, and in particular to a collaborative regulation method and platform based on virtual power plant resources. Background Technology

[0002] Under the dual-carbon goals, distributed adjustable resources such as distributed photovoltaics, electrochemical energy storage, and controllable loads are being connected to the distribution network on a large scale. Virtual power plants, as the core carrier for aggregating and managing distributed resources, have become a key support for power regulation and operational stability on the distribution network side. Individual distributed resource nodes within a virtual power plant need to respond to regulation and perform active power ramping operations. Rapid changes in active power will cause voltage drops through the line impedance from the node to the grid connection point, which can easily lead to transient voltage overruns at the node itself and at the grid connection point, affecting the local operational safety of the distribution network. However, if the active power ramping rate of a single node is excessively restricted to ensure voltage stability, it will weaken the overall power regulation capability of the virtual power plant and fail to meet the power regulation needs of the distribution network side.

[0003] Existing technologies have the following drawbacks: Current control schemes for virtual power plants mostly focus on global cluster optimization, without designing precise active power ramping and voltage stability coordinated control strategies for individual resource nodes. Existing single-node control methods either decouple active and reactive power control independently without considering their coupling effect on voltage, or adopt a linear adjustment method with a fixed threshold, which is prone to control jitter and overshoot problems under voltage critical conditions. At the same time, they do not consider the decay of reactive power support capacity when the node capacity is close to the limit, and cannot avoid the risk of voltage instability caused by capacity depletion, making it difficult to achieve precise matching of active power ramping and voltage stability for single nodes. Summary of the Invention

[0004] The main objective of this invention is to provide a collaborative control method based on virtual power plant resources, and further to provide a collaborative control platform based on virtual power plant resources that can run and implement the above method, effectively solving the problems mentioned in the background art.

[0005] The technical solution of the present invention is as follows:

[0006] Firstly, a collaborative control method based on virtual power plant resources is proposed, which includes the following steps:

[0007] S1. Synchronously acquire the effective value of the instantaneous voltage at the grid connection point, the effective value of the node output current, and the voltage-current phase difference, perform basic transient power calculation, and obtain the node transient active power and transient reactive power;

[0008] S2. Based on transient active power and transient reactive power, feature extraction is performed, and combined with the apparent power capacity upper limit, the transient active power ramp rate and reactive power support margin are obtained.

[0009] S3. Based on transient active power, transient active ramp rate and reactive power support margin, further obtain equivalent line resistance, equivalent line reactance and platform preset parameters, and calculate transient power support degree.

[0010] S4. Preset sensitivity factor and safety threshold, input transient power support, sensitivity factor and safety threshold into S-shaped adaptive gain function to obtain ramp correction coefficient;

[0011] S5. Based on the ramp correction coefficient, the original active power ramp demand is corrected to obtain the corrected active power ramp rate; based on the original active power ramp demand and the corrected active power ramp rate, the total power deviation is calculated, and the total power deviation is secondary distributed to the strong nodes to complete the cluster coordinated control.

[0012] A further improvement of the present invention is that step S1 includes the following specific steps:

[0013] S11. Obtain the effective value of the instantaneous voltage at the grid connection point from the voltage transformer installed at the grid connection point of the distribution network. The effective value of the node output current is obtained by the Hall current sensor installed at the i-th resource node. The voltage and current phase difference is obtained from the phase-locked loop at the node. Where i is the index of the resource node, and t is the time index;

[0014] S12. Based on instantaneous power theory, perform trigonometric function product operations to obtain the transient active power of the i-th resource node. With transient reactive power ,in, .

[0015] A further improvement of the present invention is that the following specific steps are included in step S2:

[0016] S21. Transient active power based on the i-th resource node The transient active ramp rate of the i-th resource node is obtained by performing time-domain operations. The time-domain operation employs first-order forward difference operation, and the expression for the transient active ramp rate of the i-th resource node is: ;

[0017] S22, Transient active power based on the i-th resource node With transient reactive power Combined with the apparent power capacity limit of the i-th resource node The reactive power support margin of the i-th resource node is obtained. .

[0018] A further improvement of the present invention is that step S3 includes the following specific steps:

[0019] S31. Extract the transient active power of the i-th resource node. Transient active ramp rate and reactive power support margin Further obtain the equivalent line resistance of the i-th resource node. Equivalent line reactance and platform preset parameters, including the maximum voltage deviation threshold. Minimum power factor and the time step of the scheduling instructions ;

[0020] S32. Calculate the transient power support of the i-th resource node. The calculation formula is: .

[0021] A further improvement of this invention is that the calculation formula for the slope correction coefficient in S4 is as follows:

[0022] ;

[0023] in, Let be the ramp correction coefficient for the i-th resource node, and k be a preset sensitivity factor. This is the safety threshold.

[0024] A further improvement of the present invention is that step S5 includes the following specific steps:

[0025] S51, adjust the ramp correction coefficient for the i-th resource node. Compared with the original active climbing demand Multiply to obtain the corrected active ramp rate ;

[0026] S52. Calculate the total power deviation. Where N is the total number of resource nodes;

[0027] S53. Select all resource nodes in the cluster whose transient power support is greater than the safety threshold and mark them as strong resource nodes, thus obtaining the set of strong resource nodes, Strong. Then, redistribute the total power deviation to the strong resource nodes to obtain the redistributed power of strong resource node j. k is the index of a resource node within the set of strong resource nodes.

[0028] Secondly, a collaborative control platform based on virtual power plant resources is proposed, which includes: a basic transient power calculation module, a feature extraction module, a feature interaction calculation module, a ramp correction coefficient calculation module, and a collaborative control module.

[0029] The basic transient power calculation module is used to synchronously acquire the effective value of the instantaneous voltage at the grid connection point, the effective value of the node output current, and the voltage-current phase difference, and to perform basic transient power calculation to obtain the node transient active power and transient reactive power.

[0030] The feature extraction module is used to extract features based on transient active power and transient reactive power, and combine them with the apparent power capacity limit to obtain the transient active power ramp rate and reactive power support margin.

[0031] The feature interaction calculation module is used to further obtain the equivalent line resistance, equivalent line reactance, and platform preset parameters based on transient active power, transient active ramp rate, and reactive power support margin, and to calculate transient power support degree.

[0032] The ramp correction coefficient calculation module is used to preset the sensitivity factor and safety threshold, and input the transient power support, sensitivity factor and safety threshold into the S-shaped adaptive gain function to obtain the ramp correction coefficient;

[0033] The coordinated control module is used to correct the original active power ramping demand based on the ramping correction coefficient to obtain the corrected active power ramping rate; calculate the total power deviation based on the original active power ramping demand and the corrected active power ramping rate, and then redistribute the total power deviation to the strong nodes to complete the cluster coordinated control.

[0034] The technical effects of this invention are as follows:

[0035] A collaborative control method based on virtual power plant resources was constructed. This method accurately quantifies the reactive power support and voltage stabilization capabilities, active power ramp-up voltage reduction impact, and capacity decay effect of a single node by constructing a comprehensive transient power support index. It fundamentally resolves the coupling contradiction between active power ramp-up and voltage stability of a single node, achieving precise adaptation between the active power ramp-up rate and voltage safety. This ensures the local operational stability of the distribution network while fully leveraging the power regulation potential of a single node. A pure node-level decoupled control architecture is adopted, with all control calculations based on locally collected electrical quantities, inherent node parameters, and platform preset parameters. It eliminates the need for inter-node communication and collaboration, and does not rely on global cluster data. This results in low computational complexity and fast response speed, adapting to the rapid control requirements of voltage transient fluctuations in the distribution network, while avoiding the communication costs and data dependencies associated with inter-node collaboration. A sigmoid adaptive gain function is used to nonlinearly map transient power support to a ramp correction coefficient ranging from 0 to 1, achieving smooth adaptive adjustment of the active power ramp rate of a single node. This completely avoids the control jitter and overshoot problems caused by existing fixed threshold and linear adjustment methods. Furthermore, the sensitivity factor can be adjusted to flexibly adapt to the control requirements of different types of distributed resource nodes, significantly improving control stability and adaptability. During the construction of transient power support, a capacity depletion penalty factor is introduced, which accurately reflects the voltage support capacity decay characteristics when the active power output of a single node approaches the hardware capacity limit. This allows for targeted adaptive correction of the active power ramp rate of high-load nodes, effectively avoiding the risk of voltage instability caused by insufficient reactive power support margin when the node capacity approaches its limit, and significantly improving the operational safety and reliability of single-node control. All control steps are based on the voltage transformers, current sensors, phase-locked loops, and other acquisition equipment already configured in a single resource node within the virtual power plant, requiring no additional hardware investment. This makes the system highly feasible for engineering implementation and has a wide range of applications. Attached Figure Description

[0036] Other features, objects, and advantages of the invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0037] Figure 1 This is a flowchart illustrating a collaborative control method based on virtual power plant resources according to Embodiment 1 of the present invention.

[0038] Figure 2 This is a schematic diagram of the structure of a collaborative control platform based on virtual power plant resources according to Embodiment 2 of the present invention. Detailed Implementation

[0039] Example 1: This example constructs a collaborative control method based on virtual power plant resources. This method accurately quantifies the reactive power support and voltage stabilization capabilities, active power ramp-up voltage reduction impact, and capacity decay effect of a single node by constructing a comprehensive transient power support index. It fundamentally resolves the coupling contradiction between active power ramp-up and voltage stability of a single node, achieving precise adaptation between the active power ramp-up rate and voltage safety. This ensures the local operational stability of the distribution network while fully leveraging the power regulation potential of a single node. A pure node-level decoupled control architecture is adopted. All control calculations are based on locally collected electrical quantities, inherent node parameters, and platform preset parameters. No inter-node communication or reliance on global cluster data is required, resulting in low computational complexity and fast response speed. This adapts to the rapid control requirements of voltage transient fluctuations in the distribution network while avoiding the communication costs and data dependencies associated with inter-node collaboration. A sigmoid adaptive gain function is used to nonlinearly map transient power support to a ramp correction coefficient ranging from 0 to 1, achieving smooth adaptive adjustment of the active power ramp rate of a single node. This completely avoids the control jitter and overshoot problems caused by existing fixed threshold and linear adjustment methods. Furthermore, the sensitivity factor can be adjusted to flexibly adapt to the control requirements of different types of distributed resource nodes, significantly improving control stability and adaptability. During the construction of transient power support, a capacity depletion penalty factor is introduced, which accurately reflects the voltage support capacity decay characteristics when the active power output of a single node approaches the hardware capacity limit. This allows for targeted adaptive correction of the active power ramp rate of high-load nodes, effectively avoiding the risk of voltage instability caused by insufficient reactive power support margin when the node capacity approaches its limit, and significantly improving the operational safety and reliability of single-node control. All control steps are based on the voltage transformers, current sensors, phase-locked loops, and other acquisition equipment already configured in a single resource node within the virtual power plant, requiring no additional hardware investment. This makes the system highly feasible for engineering implementation and has a wide range of applications.

[0040] A collaborative control method based on virtual power plant resources, such as Figure 1 As shown, the specific steps include the following:

[0041] S1. Synchronously acquire the effective value of the instantaneous voltage at the grid connection point, the effective value of the node output current, and the voltage-current phase difference, perform basic transient power calculation, and obtain the node transient active power and transient reactive power;

[0042] S2. Based on transient active power and transient reactive power, feature extraction is performed, and combined with the apparent power capacity upper limit, the transient active power ramp rate and reactive power support margin are obtained.

[0043] S3. Based on transient active power, transient active ramp rate and reactive power support margin, further obtain equivalent line resistance, equivalent line reactance and platform preset parameters, and calculate transient power support degree.

[0044] S4. Preset sensitivity factor and safety threshold, input transient power support, sensitivity factor and safety threshold into S-shaped adaptive gain function to obtain ramp correction coefficient;

[0045] S5. Based on the ramp correction coefficient, the original active power ramp demand is corrected to obtain the corrected active power ramp rate; based on the original active power ramp demand and the corrected active power ramp rate, the total power deviation is calculated, and the total power deviation is secondary distributed to the strong nodes to complete the cluster coordinated control.

[0046] In this embodiment, step S1 includes the following specific steps:

[0047] S11. Obtain the effective value of the instantaneous voltage at the grid connection point from the voltage transformer installed at the grid connection point of the distribution network. The effective value of the node output current is obtained by the Hall current sensor installed at the i-th resource node. The voltage and current phase difference is obtained from the phase-locked loop at the node. Where i is the index of the resource node, and t is the time index;

[0048] S12. Based on instantaneous power theory, perform trigonometric function product operations to obtain the transient active power of the i-th resource node. With transient reactive power ,in, Transient active power The unit is kW, transient reactive power. The unit is kvar.

[0049] In this embodiment, the effective value of the instantaneous voltage at the grid connection point The unit is V, and it is collected in real time by voltage transformers installed at the grid connection point of the distribution network at a sampling frequency of 1kHz. It is used to reflect the voltage transient fluctuation state on the distribution network side at the time of collection; the effective value of the output current of the i-th resource node. The unit is A, which is collected in real time by a Hall current sensor installed at the i-th resource node at a sampling frequency of 1kHz, and is used to characterize the magnitude of the actual current injected into the grid at that node; the voltage-current phase difference of the i-th resource node The unit is rad, and it is reported in real time by the phase-locked loop at the node. The reporting period is consistent with the voltage and current acquisition frequency, and it is used to reflect the phase offset between the output current of the node and the grid connection point voltage.

[0050] In this embodiment, step S2 specifically includes the following steps:

[0051] S21. Transient active power based on the i-th resource node The transient active ramp rate of the i-th resource node is obtained by performing time-domain operations. The time-domain operation employs first-order forward difference operation, and the expression for the transient active ramp rate of the i-th resource node is: ;

[0052] S22, Transient active power based on the i-th resource node With transient reactive power Combined with the apparent power capacity limit of the i-th resource node The reactive power support margin of the i-th resource node is obtained. .

[0053] In this embodiment, the transient active ramp rate The unit is kW / s, which represents the upper limit of apparent power capacity. The unit is kVA, taken from the hardware nameplate parameters of the node or the reading value of the battery management system, and represents the maximum apparent power that the node's hardware can output; reactive power support margin. The unit is kvar, and during the calculation... As a boundary constraint for apparent power, ensure This represents the maximum reactive power that can be output under the current active power conditions.

[0054] In this embodiment, step S3 includes the following specific steps:

[0055] S31. Extract the transient active power of the i-th resource node. Transient active ramp rate and reactive power support margin Further obtain the equivalent line resistance of the i-th resource node. Equivalent line reactance and platform preset parameters, including the maximum voltage deviation threshold. Minimum power factor and the time step of the scheduling instructions ;

[0056] S32. Calculate the transient power support of the i-th resource node. The calculation formula is: .

[0057] In this embodiment, the equivalent line resistance from the i-th resource node to the grid connection point is... Equivalent line reactance The units are all ohms, obtained through offline calibration or online parameter identification, used to characterize the resistance and reactance parameters of the transmission line between the node and the grid connection point; maximum voltage deviation threshold. The unit is V. According to the power grid safety regulations, the preferred value is ±5% of the rated voltage at the grid connection point, which is the allowable voltage fluctuation limit for the distribution network; minimum power factor. This is a dimensionless number, and based on the inverter hardware technical manual, a preferred value of 0.8 is selected, representing the minimum power factor limit for operation at the inverter hardware level; the scheduling command time step... The unit is seconds (s), determined by the discretization calculation period, with a preferred value of 0.1 seconds, representing the minimum time interval for issuing scheduling commands; transient power support degree. Since it is a dimensionless number, the calculation process first calculates the difference between the reactive power support margin of the numerator through the voltage stabilization capability of the line reactance and the voltage drop effect of the active power ramping through the line resistance within a time step. Then, it is normalized by dividing by the product of the effective value of the instantaneous voltage at the grid connection point and the maximum voltage deviation threshold. Finally, it is multiplied by the capacity depletion penalty factor. The penalty factor ranges from 0 to 1 and is used to reflect the attenuation of the support capacity when the active power output of a resource node approaches the hardware limit.

[0058] In this embodiment, the formula for calculating the slope correction coefficient in S4 is:

[0059] ;

[0060] in, Let be the ramp correction coefficient for the i-th resource node, and k be a preset sensitivity factor. The safety threshold is defined as follows. The sensitivity factor k is a dimensionless parameter, preferably 10. This value is determined based on the nonlinear mapping effect of the sigmoid adaptive gain function in engineering practice, enabling rapid nonlinear transition within the 0 to 1 range. This is a dimensionless parameter, preferably 0.5. This value is determined based on empirical values ​​for stable grid voltage operation and represents the critical value for transient power support. (Climbing correction factor) It is a dimensionless parameter, with a value range from 0 to 1. Greater than hour, A value approaching 1 indicates a low voltage risk at the resource node, allowing for active power ramping based on original demand; when Less than hour, A value close to 0 indicates a high voltage risk at the resource node, necessitating a reduction in the active power ramp rate.

[0061] In this embodiment, step S5 includes the following specific steps:

[0062] S51, adjust the ramp correction coefficient for the i-th resource node. Compared with the original active climbing demand Multiply to obtain the corrected active ramp rate ;

[0063] S52. Calculate the total power deviation. Where N is the total number of resource nodes;

[0064] S53. Select all resource nodes in the cluster whose transient power support is greater than the safety threshold and mark them as strong resource nodes, thus obtaining the set of strong resource nodes, Strong. Then, redistribute the total power deviation to the strong resource nodes to obtain the redistributed power of strong resource node j. k is the index of a resource node within the set of strong resource nodes.

[0065] In this embodiment, the original active power ramping requirement of the i-th resource node The unit is kW / s, and it is issued to this node by the distribution network dispatch center according to the grid load adjustment needs. It is the initial active power change rate target value for this node; total power deviation. The unit is kW. This parameter represents the total active power deficit caused by the reduction of active power ramp-up rate across all resource nodes in the cluster; the secondary allocation power of strong resource node j. The unit is kW, j is the index of the strong resource node, and k is the index of the resource node in the set of strong resource nodes. During the calculation, the sum of the weights is ensured to be 1, so as to realize the reasonable distribution of the total power deviation among the strong resource nodes and complete the cluster-level active power closed-loop collaborative control.

[0066] Example 2: This example proposes a collaborative control platform based on virtual power plant resources, such as... Figure 2 As shown, it includes: a basic transient power calculation module, a feature extraction module, a feature interaction calculation module, a ramp correction coefficient calculation module, and a collaborative control module;

[0067] The basic transient power calculation module is used to synchronously acquire the effective value of the instantaneous voltage at the grid connection point, the effective value of the node output current, and the voltage-current phase difference, and to perform basic transient power calculation to obtain the node transient active power and transient reactive power.

[0068] The feature extraction module is used to extract features based on transient active power and transient reactive power, and combine them with the apparent power capacity limit to obtain the transient active power ramp rate and reactive power support margin.

[0069] The feature interaction calculation module is used to further obtain the equivalent line resistance, equivalent line reactance, and platform preset parameters based on transient active power, transient active ramp rate, and reactive power support margin, and to calculate transient power support degree.

[0070] The ramp correction coefficient calculation module is used to preset the sensitivity factor and safety threshold, and input the transient power support, sensitivity factor and safety threshold into the S-shaped adaptive gain function to obtain the ramp correction coefficient;

[0071] The coordinated control module is used to correct the original active power ramping demand based on the ramping correction coefficient to obtain the corrected active power ramping rate; calculate the total power deviation based on the original active power ramping demand and the corrected active power ramping rate, and then redistribute the total power deviation to the strong nodes to complete the cluster coordinated control.

[0072] The steps for implementing the corresponding functions of each parameter and each unit module in the collaborative control platform based on virtual power plant resources of the present invention can be referred to the parameters and steps in the embodiment of the collaborative control method based on virtual power plant resources in Embodiment 1 above.

[0073] Example 3: This example provides an electronic device, including a processor and a memory, wherein the memory stores a computer program that can be called by the processor; the processor executes the above-described collaborative control method based on virtual power plant resources by calling the computer program stored in the memory.

[0074] The electronic device can vary considerably depending on its configuration or performance. It may include one or more Central Processing Units (CPUs) and one or more memories, wherein the memory stores at least one computer program, which is loaded and executed by the processor to implement the collaborative control method based on virtual power plant resources provided in the above-described embodiment. The electronic device may also include other components for implementing its functions; for example, it may have wired or wireless network interfaces and input / output interfaces for data input and output. Further details are omitted in this embodiment.

[0075] Those skilled in the art will recognize that this invention can be implemented as a system, method, or computer program product. Therefore, this invention can be implemented in the following forms: it can be entirely hardware, entirely software (including firmware, resident software, microcode, etc.), or a combination of hardware and software, generally referred to herein as a "circuit," "module," or "system." Furthermore, in some embodiments, this invention can also be implemented as a computer program product contained in one or more computer-readable media, which includes computer-readable program code.

[0076] Any combination of one or more computer-readable media may be used. A computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0077] This invention is described with reference to flowchart illustrations and block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and block diagrams, as well as combinations of blocks in the flowchart illustrations and block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart. Figure 1 One or more processes and boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0078] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and boxes Figure 1 The steps of the function specified in one or more boxes.

[0079] The embodiments of the present invention have been described above with reference to the accompanying drawings. However, the present invention is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of the present invention without departing from the spirit and scope of the claims. All of these forms are within the protection scope of the present invention.

Claims

1. A collaborative control method based on virtual power plant resources, characterized in that: The specific steps include the following: S1. Synchronously acquire the effective value of the instantaneous voltage at the grid connection point, the effective value of the node output current, and the voltage-current phase difference, perform basic transient power calculation, and obtain the node transient active power and transient reactive power; S2. Based on transient active power and transient reactive power, feature extraction is performed, and combined with the apparent power capacity upper limit, the transient active power ramp rate and reactive power support margin are obtained. S3. Based on transient active power, transient active ramp rate and reactive power support margin, further obtain equivalent line resistance, equivalent line reactance and platform preset parameters, and calculate transient power support degree. S4. Preset sensitivity factor and safety threshold, input transient power support, sensitivity factor and safety threshold into S-shaped adaptive gain function to obtain ramp correction coefficient; S5. Based on the ramp correction coefficient, the original active ramp demand is corrected to obtain the corrected active ramp rate. The total power deviation is calculated based on the original active power ramping demand and the corrected active power ramping rate, and the total power deviation is then redistributed to the strong nodes to complete the cluster coordinated control. S3 includes the following specific steps: S31. Extract the transient active power of the i-th resource node. Transient active ramp rate and reactive power support margin Further obtain the equivalent line resistance of the i-th resource node. Equivalent line reactance and platform preset parameters, including the maximum voltage deviation threshold. Lowest power factor and the time step of the scheduling instructions ; S32. Calculate the transient power support of the i-th resource node. The calculation formula is: ; The formula for calculating the slope correction factor in S4 is as follows: ； in, Let be the ramp correction coefficient for the i-th resource node, and k be a preset sensitivity factor. This is a safety threshold; S5 includes the following specific steps: S51, adjust the ramp correction coefficient for the i-th resource node. Compared with the original active climbing demand Multiply to obtain the corrected active ramp rate ; S52. Calculate the total power deviation. Where N is the total number of resource nodes; S53. Select all resource nodes in the cluster whose transient power support is greater than the safety threshold and mark them as strong resource nodes, thus obtaining the set of strong resource nodes, Strong. Then, redistribute the total power deviation to the strong resource nodes to obtain the redistributed power of strong resource node j. k is the index of a resource node within the set of strong resource nodes.

2. The collaborative control method based on virtual power plant resources according to claim 1, characterized in that: S1 includes the following specific steps: S11. Obtain the effective value of the instantaneous voltage at the grid connection point from the voltage transformer installed at the grid connection point of the distribution network. The effective value of the node output current is obtained by the Hall current sensor installed at the i-th resource node. The voltage and current phase difference is obtained from the phase-locked loop at the node. Where i is the index of the resource node, and t is the time index; S12. Based on instantaneous power theory, perform trigonometric function product operations to obtain the transient active power of the i-th resource node. With transient reactive power ,in, .

3. The collaborative control method based on virtual power plant resources according to claim 2, characterized in that: The specific steps of S2 are as follows: S21. Transient active power based on the i-th resource node The transient active ramp rate of the i-th resource node is obtained by performing time-domain operations. The time-domain operation employs first-order forward difference operation, and the expression for the transient active ramp rate of the i-th resource node is: ; S22, Transient active power based on the i-th resource node With transient reactive power Combined with the apparent power capacity limit of the i-th resource node The reactive power support margin of the i-th resource node is obtained. .

4. A collaborative control platform based on virtual power plant resources, implemented based on the collaborative control method based on virtual power plant resources according to any one of claims 1-3, characterized in that, The platform includes: a basic transient power calculation module, a feature extraction module, a feature interaction calculation module, a ramp correction coefficient calculation module, and a collaborative control module; The basic transient power calculation module is used to synchronously acquire the effective value of the instantaneous voltage at the grid connection point, the effective value of the node output current, and the voltage-current phase difference, and to perform basic transient power calculation to obtain the node transient active power and transient reactive power. The feature extraction module is used to extract features based on transient active power and transient reactive power, and combine them with the apparent power capacity limit to obtain the transient active power ramp rate and reactive power support margin. The feature interaction calculation module is used to further obtain the equivalent line resistance, equivalent line reactance, and platform preset parameters based on transient active power, transient active ramp rate, and reactive power support margin, and to calculate transient power support degree. The ramp correction coefficient calculation module is used to preset the sensitivity factor and safety threshold, and input the transient power support, sensitivity factor and safety threshold into the S-shaped adaptive gain function to obtain the ramp correction coefficient; The coordinated control module is used to correct the original active power ramping demand based on the ramping correction coefficient to obtain the corrected active power ramping rate; calculate the total power deviation based on the original active power ramping demand and the corrected active power ramping rate, and then redistribute the total power deviation to the strong nodes to complete the cluster coordinated control.

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