A virtual power plant rapid ramping scheduling control method and system
By introducing second-order consistency control and a virtual leader model, the virtual power plant achieves power and rate synchronization of resource clusters, solving the problems of slow response speed and poor economy in the rapid ramp-up scheduling of the virtual power plant, and improving the flexibility and reliability of the power grid.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SOUTHEAST UNIV
- Filing Date
- 2026-03-11
- Publication Date
- 2026-07-14
AI Technical Summary
In existing technologies, the fast ramp-up scheduling and control methods for virtual power plants suffer from slow response speed, poor economic efficiency, and heavy communication burden. In particular, traditional first-order consistency control in distributed control methods is difficult to meet the response rate requirements in fast ramp-up scenarios.
A second-order consistency control framework that balances power and rate consistency is adopted. A virtual leader model with cost constraints and a consistency control protocol coupled with cost differences are introduced. Through the communication coupling between the virtual leader and the resource cluster, the coordinated consistency of ramp power and ramp speed is achieved, reducing communication complexity and improving response speed.
It enables fair participation and resource sharing in resource clusters, improves the flexibility and reliability of power grid operation, reduces scheduling complexity and communication burden, and meets the response rate requirements in rapid ramp scenarios.
Smart Images
Figure CN122394073A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of power system dispatching and control technology, specifically a method and system for rapid ramp-up dispatching and control of virtual power plants. Background Technology
[0002] With the increasing severity of environmental problems and the gradual depletion of traditional energy sources, new energy power generation technologies have developed rapidly and been widely adopted. However, new energy power generation is significantly affected by weather changes, and its inherent volatility and uncertainty pose serious challenges to the safe and reliable operation of the power system. At the same time, rapid increases or decreases in power load also place higher demands on the real-time balancing of the power system. Therefore, reserving a certain degree of flexibility and ramp-up capability during grid operation, and ensuring that power supply meets demand and maintains grid stability through rapid ramp-up dispatching, has become an important means of ensuring the safe operation of the power system.
[0003] To effectively address these challenges, virtual power plant technology has emerged. Virtual power plants utilize advanced information and communication technologies and software systems to aggregate and coordinate distributed power sources, energy storage systems, and flexible load resources, participating in the electricity market as a unique market entity. Virtual power plants can provide rapid ramp-up services, effectively improving the flexibility and reliability of grid operation and achieving efficient utilization of regional energy resources.
[0004] Currently, control methods for rapid ramping mainly fall into two categories: centralized control and distributed control. Centralized control methods collect all resource information and issue control commands through a central controller. However, as the system scales up, this method often faces problems such as high communication complexity and response time delays, limiting its adaptability to rapidly changing environments and making it difficult to effectively cope with fluctuations in power load or renewable energy. In contrast, distributed control methods achieve coordinated control through information exchange between adjacent nodes, offering advantages such as lower communication burden and higher reliability.
[0005] In distributed control methods, consensus control theory has been widely applied. Although traditional first-order consensus control can guarantee that the node states eventually converge to consistency, its response speed is relatively slow when dealing with dynamic load changes, and it can only consider the power output changes of the resource cluster, lacking a comprehensive grasp of the dynamic changes in the system state, making it difficult to meet the strict requirements for response speed in rapid ramp-up scenarios. Summary of the Invention
[0006] This invention addresses the problems of existing technologies by providing a virtual power plant rapid ramp-up scheduling and control method and system. By constructing a second-order consistency control framework that balances power and rate consistency, and introducing a virtual leader model with cost constraints and a consistency control protocol coupled with cost differences, it effectively solves the technical problems of slow response speed, poor economy, and heavy communication burden in existing technologies. This method eliminates the need for a centralized controller and complex communication topology, reducing scheduling complexity, enabling fair participation and resource sharing among resource clusters, and improving the flexibility and reliability of power grid operation.
[0007] To address the above technical problems, this invention discloses a rapid ramp-up scheduling and control method for virtual power plants, comprising the following steps:
[0008] Step 1: The dispatch center of the virtual power plant system determines the required ramp-up capacity. Calculate the unit ramp-up cost for each resource cluster. and maximum permissible total ramp cost ;
[0009] Step 2: Determine the ramp power consistency and ramp speed consistency of the virtual power plant system;
[0010] Step 3: The dispatch center of the virtual power plant system determines the virtual leader based on the maximum allowable total ramp cost and designs a leader model with cost constraints.
[0011] Step 4: Based on the leader model, determine a consistency control protocol with cost difference coupling. The virtual leader is coupled with other resource clusters through communication to make the climbing power consistency and climbing speed consistency gradually become consistent.
[0012] Step 5: Through real-time information exchange and state iteration between adjacent nodes, each resource cluster gradually achieves coordinated consistency between ramp power and ramp speed under the drive of the consistency control protocol, and the virtual power plant system completes the control task of rapid ramp.
[0013] Furthermore, the unit ramp-up cost in step 1 above This includes at least one of the following: energy storage charging and discharging loss costs, flexible load adjustment and compensation costs, and distributed power generation start-up and shutdown costs.
[0014] Furthermore, the aforementioned maximum permissible total ramp cost The value is determined by multiplying the market price of the hill-climbing assistance service by the hill-climbing capacity.
[0015] Furthermore, the ramp-up power consistency of the virtual power plant system in step 2 above... for: ,in, Let be the ramp power of the i-th resource cluster; This represents the current maximum ramp rate of the i-th resource cluster.
[0016] Consistency of ramp-up speed in virtual power plant system for: ,in, Let be the ramp rate of the i-th resource cluster.
[0017] This invention introduces both ramp power consistency and ramp speed consistency simultaneously, enabling resource clusters to not only achieve consistency in power output but also maintain synchronization in ramp rate, thus achieving a comprehensive grasp of the dynamic changes in system status.
[0018] Furthermore, in step 3 above, a virtual leader model with cost constraints is determined:
[0019]
[0020] in, The climbing power consistency state quantity of the virtual leader; For the consistent state of the virtual leader's ramp-up speed; initial value ; It is positive feedback gain; This specifies the ramp-up time; n represents the total number of resource clusters participating in this rapid ramp-up task, and its value is a positive integer greater than or equal to 1. Let be the consistency of the ramping speed of the i-th resource cluster at time t; This is the cost deviation adjustment coefficient; hour To suppress the use of high-cost resources, hour .
[0021] Furthermore, the implementation of step 4 above includes: in the virtual power plant system, each resource cluster interacts with its neighboring resource clusters; wherein, the leadership control gain d i Resource clusters with a value greater than 0 directly receive the state information of the virtual leader, and the consistency control protocol with conditional coupling constraints for the i-th resource cluster is as follows:
[0022]
[0023] In the formula, These are coupling parameters; Represents a resource cluster and The coupling relationship, if the first The resource cluster can receive the first Information about each resource cluster, ,otherwise , For cost sensitivity, and These represent the unit ramp-up costs for resource clusters i and k, respectively. and These represent the climbing power consistency quantity and climbing speed consistency quantity of the k-th resource cluster at time t, respectively. Let be the ramp power consistency state quantity of the i-th resource cluster at time t; To control the gain for leadership;
[0024] The conditional coupling constraint is:
[0025] In the formula: ; diagonal matrix positive column vector ; , , ; It contains A directed graph with nodes The Laplace matrix; .
[0026] This invention introduces a maximum allowable total ramp cost constraint and cost sensitivity, enabling the virtual leader to fully consider economic requirements when formulating reference trajectories. At the same time, it achieves the economic scheduling goal of assigning more low-cost resources and less high-cost resources through cost difference coupling terms, effectively controlling scheduling costs while ensuring rapid ramp performance.
[0027] Furthermore, the aforementioned leadership control gain The value can be: ,like This indicates that the first... Consistency control is performed on each resource cluster. This indicates that the i-th resource cluster does not directly receive leader information, but achieves consistency indirectly through neighbor coupling. Represents a resource cluster and The coupling relationship.
[0028] This invention further improves upon configuring the leader control gain. This method distinguishes between resource clusters that can directly receive leader information and resource clusters that achieve consistency indirectly through neighbor coupling, adapting to the differences in communication capabilities and response characteristics of different resource clusters, and improving the universality and engineering applicability of the method.
[0029] Based on the same inventive concept, this invention also discloses a virtual power plant rapid ramp-up scheduling and control system, which executes the above-mentioned method, specifically including:
[0030] Virtual power plant dispatch center, the virtual power plant dispatch center includes:
[0031] The cost calculation unit is used to determine the required ramp capacity and calculate the unit ramp cost and the maximum allowable total ramp cost for each resource cluster.
[0032] A virtual leader unit is used to determine a virtual leader based on the maximum allowable total ramp cost and to design a leader model with cost constraints.
[0033] Multiple distributed control units are set up on each resource cluster side to determine the consistency of ramping power and ramping speed of each cluster.
[0034] A communication network, connecting the scheduling center and the distributed control units of each resource cluster, is used to transmit the coupling information required by the consistency control protocol;
[0035] The consistency control unit is used to run a consistency control protocol coupled with cost differences based on the leader model, and to perform real-time information interaction and state iteration with the consistency control units of adjacent clusters through the communication network, so as to gradually achieve coordinated consistency in the ramping power and ramping speed of each resource cluster under the drive of the protocol.
[0036] The virtual power plant system completes the control task of rapid ramping when the ramping power and ramping speed are synchronized.
[0037] Meanwhile, the present invention also discloses a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of the aforementioned virtual power plant rapid ramp scheduling control method.
[0038] Meanwhile, the present invention also discloses a computer device, including a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor executes the program to implement the steps of the aforementioned virtual power plant rapid ramp scheduling control method.
[0039] Compared with the prior art, the beneficial technical effects of the present invention using the above technical solution are as follows:
[0040] 1) This invention adopts second-order consistency control that takes into account both power and rate consistency, so that each resource cluster can adjust its power output and ramp rate synchronously, which significantly improves the system's responsiveness to rapidly changing environments.
[0041] 2) This invention adopts a distributed consensus protocol, where each resource cluster only needs to interact with neighboring clusters locally, without the need for a central controller to collect global information, thus reducing communication complexity and response latency;
[0042] 3) This invention introduces a virtual leader model with cost constraints and a cost difference coupling term, enabling low-cost resources to undertake more ramping tasks, effectively controlling scheduling costs while meeting the needs of rapid ramping.
[0043] 4) This invention distinguishes the communication capabilities of different resource clusters by using leadership control gain, adapts to the differentiated characteristics of heterogeneous resource clusters, and improves the engineering applicability of the method. Attached Figure Description
[0044] Figure 1 This is a flowchart of the virtual power plant rapid ramp-up scheduling and control method of the present invention. Detailed Implementation
[0045] To better understand the technical content of this invention, further explanation is provided below with reference to the accompanying drawings.
[0046] like Figure 1 As shown, this invention provides a method for rapid ramp-up scheduling and control of a virtual power plant, comprising:
[0047] Step 1: The dispatch center of the virtual power plant system first needs to determine the basic parameters of this rapid ramp-up task, specifically including the required ramp-up capacity. Unit ramp-up cost for each resource cluster And the maximum permissible total ramp cost for this mission. .
[0048] The virtual power plant system's dispatch center determines the required ramp capacity for this rapid ramp task based on ramp-up instructions issued by the power grid dispatching agency, the clearing results of the power ancillary services market, or real-time demand based on grid frequency deviation. Ramp-up capacity. It is usually expressed in (MW), reflecting the total output that needs to be increased or decreased within a specific time range;
[0049] Maximum permissible total ramp cost This is the economic constraint boundary for this ramp-up task, and its determination method can be flexibly set according to the virtual power plant's participation in the market.
[0050] As a preferred implementation, when a virtual power plant participates in the power ancillary services market, the maximum permissible total ramp cost is determined based on the product of the market price of the ramp ancillary services and the required ramp capacity.
[0051] As an alternative implementation, when a market-based mechanism is adopted within the virtual power plant, the maximum allowable total ramp-up cost can be determined by aggregating the total cost of resource clusters that meet the ramp-up capacity requirements, sorting them from lowest to highest based on the unit ramp-up cost declared by each resource cluster. This approach can more accurately reflect the true cost of internal resources and achieve refined scheduling.
[0052] As a third alternative implementation method, the maximum allowable total ramp-up cost can also be determined based on the expected operating revenue target of the virtual power plant, after deducting other fixed costs. This is suitable for scenarios where the virtual power plant makes its own decisions as an independent operator.
[0053] Unit ramp cost This refers to the cost incurred by each resource cluster for increasing its ramp power by one unit, such as 1MW, typically expressed in yuan / (MW·min). Since virtual power plants aggregate various types of distributed resources, the composition of unit ramp costs differs among different resource clusters. In this invention, the unit ramp cost is calculated separately based on the resource type and operating characteristics of each resource cluster, specifically including but not limited to the following types: For energy storage systems, the unit ramp cost mainly includes battery cycle life loss cost and charge / discharge efficiency loss cost. Each time a battery completes a charge / discharge cycle, its lifespan decreases accordingly; this loss can be converted into the cost of each ramp scheduling. Simultaneously, energy losses during charging and discharging also constitute direct economic costs.
[0054] For adjustable flexible loads, such as air conditioning and industrial loads, the unit ramp-up cost mainly includes user compensation costs. When a load participates in ramp-up scheduling, it may have a certain impact on users' production and daily life, requiring economic compensation to obtain users' willingness to respond.
[0055] For distributed generation units, such as diesel generators and gas turbines, the unit ramp-up cost mainly includes fuel costs and equipment start-up and shutdown costs. The start-up and shutdown process consumes additional fuel and accelerates equipment wear; this cost needs to be amortized over each ramp-up scheduling.
[0056] When a resource cluster contains multiple types of resources, its unit ramp-up cost is the weighted average of all components. It should be noted that the above-described composition of the unit ramp-up cost is merely illustrative; in practical applications, the unit ramp-up cost can be determined using one or more combinations of the above cost types, based on the actual resource composition and operational needs of the virtual power plant.
[0057] Step 2: Determine the consistency quantities of the virtual power plant system, namely the ramp power consistency quantity and the ramp speed consistency quantity.
[0058] Ramp-up power consistency in virtual power plant system for: ,in, Let be the ramp power of the i-th resource cluster; This represents the current maximum ramp rate of the i-th resource cluster.
[0059] Consistency of ramp-up speed in virtual power plant system for: ,in, Let be the ramp rate of the i-th resource cluster; This represents the current maximum ramp rate for the i-th resource cluster.
[0060] Step 3: The dispatch center of the virtual power plant system determines the virtual leader and designs a leader model with cost constraints;
[0061] Determine a virtual leader model with cost constraints:
[0062] (1)
[0063] In the formula: The climbing power consistency state quantity of the virtual leader; For the consistent state of the virtual leader's ramp-up speed; initial value ; It is positive feedback gain; This specifies the ramp-up time; n represents the total number of resource clusters participating in this rapid ramp-up task, and its value is a positive integer greater than or equal to 1. Let be the consistency of the ramping speed of the i-th resource cluster at time t; This is the cost deviation adjustment coefficient. hour To suppress the use of high-cost resources, hour .
[0064] Step 4: Based on the aforementioned leader model, determine a consistency control protocol coupled with cost differences. The virtual leader is coupled with other resource clusters through communication, so that the consistency of climbing power and climbing speed gradually become consistent.
[0065] In a virtual power plant system, each resource cluster interacts with its neighboring resource clusters; among them, the leader control gain d i Resource clusters with a value greater than 0 directly receive the state information of the virtual leader, and the consistency control protocol with conditional coupling constraints for the i-th resource cluster is as follows:
[0066] (2)
[0067] The conditional coupling constraint is: (3)
[0068] In the formula: These are coupling parameters; Represents a virtual power plant and The coupling relationship, if the first The virtual power plant can receive the first Information about each resource cluster, ,otherwise , For cost sensitivity, the smaller the cost difference between clusters, the stronger the coupling between them, which promotes priority collaboration between low-cost clusters and reduces the ineffective use of high-cost resources; To control gains for leadership, ; Represents a resource cluster and The coupling relationship, if This indicates that the first... Consistency control is performed on each resource cluster; This indicates that the i-th resource cluster does not directly receive leader information, but achieves consistency indirectly through neighbor coupling.
[0069] In the formula: ; diagonal matrix positive column vector ; , , ; It contains A directed graph with nodes The Laplace matrix; .
[0070] in, , The value of can be obtained through the following steps:
[0071] Construct the error equation: (4)
[0072] In the formula, For the climbing power consistency state quantity of the virtual leader With uniform convergence value difference; Let be the power tracking error of the i-th resource cluster at time t, and let represent the ramp power consistency state variable of that cluster. Consistency state quantity of ramp power with virtual leader difference; Consistency state quantity for the ramp-up speed of the virtual leader With uniform convergence value difference; Let be the speed tracking error of the i-th resource cluster at time t, and let represent the consistency state quantity of the climbing speed of that cluster. Consistency state quantity with the climbing speed of the virtual leader difference;
[0073] Further derivation yields the error system:
[0074] (5)
[0075] In the formula, Let be the power tracking error of the k-th resource cluster at time t, and let represent the ramp power consistency state variable of that cluster. Consistency state quantity of ramp power with virtual leader difference; The speed tracking error of the k-th resource cluster at time t represents the consistency state quantity of the cluster's ramp-up speed. Consistency state quantity with the climbing speed of the virtual leader difference.
[0076] for ;make (6)
[0077] Formula (5) can be further transformed from formula (6) into the following form:
[0078] (7)
[0079] In the formula: , , It contains A directed graph with nodes The Laplace matrix, .
[0080] Define the error state vector :
[0081] Using the error state vector To measure and Inconsistency, and mean and .
[0082] For consistency protocol control, a resource cluster node can access target information. If the dispatch center trajectory is... The dynamic trajectory marked as virtual power plant node 0 results in a new directed graph. The Laplace matrix is:
[0083]
[0084] In the formula:
[0085] Construct the following algorithm:
[0086] (1) Solve the linear matrix equation This results in a positive column vector. ;
[0087] (2) Select the Lyapunov function:
[0088] Differentiating the Lyapunov function, we get: (8)
[0089] In the formula,
[0090] In the formula, , .
[0091] According to Lyapunov stability, if the control system is stable, then , equivalent to .
[0092] Solve linear matrix inequalities We obtain three scalars. , , :
[0093] Equivalent to: (9)
[0094] In the formula, .
[0095] Step 5: Through real-time information exchange and state iteration between adjacent nodes, each resource cluster gradually achieves coordinated consistency between ramp power and ramp speed under the drive of the consistency control protocol, and the virtual power plant system completes the control task of rapid ramp.
[0096] As an optional implementation, the control command may include fields such as: cluster identifier, power target value, execution timestamp, and command validity period. Upon receiving the command, the local controller of each resource cluster parses the above fields and adjusts its own output according to the target value.
[0097] Corresponding to the above method, the present invention also provides a virtual power plant rapid ramp-up scheduling and control system, specifically including:
[0098] Virtual power plant dispatch center, the virtual power plant dispatch center includes:
[0099] The cost calculation unit is used to determine the required ramp capacity and calculate the unit ramp cost and the maximum allowable total ramp cost for each resource cluster.
[0100] A virtual leader unit is used to determine a virtual leader based on the maximum allowable total ramp cost and to design a leader model with cost constraints.
[0101] Multiple distributed control units are set up on each resource cluster side to determine the consistency of ramping power and ramping speed of each cluster.
[0102] A communication network, connecting the scheduling center and the distributed control units of each resource cluster, is used to transmit the coupling information required by the consistency control protocol;
[0103] The consistency control unit is used to run a consistency control protocol coupled with cost differences based on the leader model, and to perform real-time information interaction and state iteration with the consistency control units of adjacent clusters through the communication network, so as to gradually achieve coordinated consistency in the ramping power and ramping speed of each resource cluster under the drive of the protocol.
[0104] The virtual power plant system completes the control task of rapid ramping when the ramping power and ramping speed are synchronized.
[0105] The specific functions and implementation methods of each unit in the above system have been described in detail in the specific implementation process of the method, and will not be repeated here; the above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the protection scope of the present invention.
Claims
1. A method for rapid ramp-up scheduling and control of a virtual power plant, characterized in that, Includes the following steps: Step 1: The dispatch center of the virtual power plant system determines the required ramp-up capacity. Calculate the unit ramp-up cost for each resource cluster. and maximum permissible total ramp cost ; Step 2: Determine the ramp power consistency and ramp speed consistency of the virtual power plant system; Step 3: The dispatch center of the virtual power plant system determines the virtual leader and designs a leader model with cost constraints; wherein, the leader model takes the ramp capacity as the task requirement, the maximum allowable total ramp cost and unit ramp cost as economic constraint boundaries, and the ramp power consistency quantity and ramp speed consistency quantity as control objectives. Step 4: Based on the leader model, determine a consistency control protocol with cost difference coupling. The virtual leader is coupled with other resource clusters through communication to make the climbing power consistency and climbing speed consistency gradually become consistent. Step 5: Through real-time information exchange and state iteration between adjacent nodes, each resource cluster gradually achieves coordinated consistency between ramp power and ramp speed under the drive of the consistency control protocol, and the virtual power plant system completes the control task of rapid ramp.
2. The virtual power plant rapid ramp-up scheduling and control method according to claim 1, characterized in that, Unit climbing cost in step 1 This includes at least one of the following: energy storage charging and discharging loss costs, flexible load adjustment and compensation costs, and distributed power generation start-up and shutdown costs.
3. The virtual power plant rapid ramp-up scheduling and control method according to claim 1, characterized in that, The maximum permissible total ramp cost The value is determined by multiplying the market price of the hill-climbing assistance service by the hill-climbing capacity.
4. The virtual power plant rapid ramp-up scheduling and control method according to claim 1, characterized in that, The ramp-up power consistency of the virtual power plant system in step 2 for: ,in, Let be the ramp power of the i-th resource cluster; This represents the current maximum ramp rate of the i-th resource cluster. Consistency of ramp-up speed in virtual power plant system for: ,in, Let be the ramp rate of the i-th resource cluster.
5. The virtual power plant rapid ramp-up scheduling and control method according to claim 4, characterized in that, In step 3, the virtual leader model representation with cost constraints is determined: ， in, The climbing power consistency state quantity of the virtual leader; For the consistent state of the virtual leader's ramp-up speed; initial value ; It is positive feedback gain; This specifies the ramp-up time; n represents the total number of resource clusters participating in this rapid ramp-up task, and its value is a positive integer greater than or equal to 1. Let be the consistency of the ramping speed of the i-th resource cluster at time t; This is the cost deviation adjustment coefficient; hour To suppress the use of high-cost resources, hour .
6. The virtual power plant rapid ramp-up scheduling and control method according to claim 5, characterized in that, The implementation of step 4 includes: In a virtual power plant system, each resource cluster interacts with its neighboring resource clusters; among them, the leader control gain... The resource cluster directly receives the state information of the virtual leader, and the consistency control protocol with conditional coupling constraints for the i-th resource cluster is as follows: ， In the formula, These are coupling parameters; Represents a resource cluster and The coupling relationship; and These represent the climbing power consistency quantity and climbing speed consistency quantity of the k-th resource cluster at time t, respectively. Let be the ramp power consistency state quantity of the i-th resource cluster at time t; To control the gain for leadership; The conditional coupling constraint is: , In the formula: ; diagonal matrix positive column vector ; , , ; It contains A directed graph with nodes The Laplace matrix; .
7. The virtual power plant rapid ramp-up scheduling and control method according to claim 6, characterized in that, The leadership control gain The value can be: ,like This indicates that the i-th resource cluster directly receives the status information of the virtual leader. This indicates that the i-th resource cluster does not directly receive leader information, but achieves consistency indirectly through neighbor coupling. Represents a resource cluster and The coupling relationship.
8. A virtual power plant rapid ramp-up dispatching and control system, characterized in that, The system performs the method described in any one of claims 1-7, specifically including: Virtual power plant dispatch center, the virtual power plant dispatch center includes: The cost calculation unit is used to determine the required ramp capacity and calculate the unit ramp cost and the maximum allowable total ramp cost for each resource cluster. A virtual leader unit is used to determine a virtual leader based on the maximum allowable total ramp cost and to design a leader model with cost constraints. Multiple distributed control units are set up on each resource cluster side to determine the consistency of ramping power and ramping speed of each cluster. A communication network, connecting the scheduling center and the distributed control units of each resource cluster, is used to transmit the coupling information required by the consistency control protocol; The consistency control unit is used to run a consistency control protocol coupled with cost differences based on the leader model, and to perform real-time information interaction and state iteration with the consistency control units of adjacent clusters through the communication network, so as to gradually achieve coordinated consistency in the ramping power and ramping speed of each resource cluster under the drive of the protocol. The virtual power plant system completes the control task of rapid ramping when the ramping power and ramping speed are synchronized.
9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the steps of the virtual power plant rapid ramp scheduling control method as described in any one of claims 1 to 7.
10. A computer device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the program, it implements the steps of the virtual power plant rapid ramp scheduling control method as described in any one of claims 1 to 7.