Virtual power plant control method and system based on edge calculation

Abstract

The embodiment of the invention discloses a virtual power plant control method and system based on edge calculation. The method comprises the steps that operation data and power plant supply and demand of a virtual power plant are acquired; calculating side end control parameters according to power plant supply and demand; calculating a virtual power plant operation scheme according to the operation data and the side end control parameters of the virtual power plant; and sending the operation scheme of the virtual power plant to a cloud server, wherein the cloud server controls the operation of the virtual power plant according to the operation scheme of the virtual power plant. By implementing the embodiment of the invention, the efficiency and flexibility of processing the data of the virtual power plant can be improved, so that the efficiency of calculating the operation scheme of the virtual power plant is improved.

Description

Technical Field

[0001] The present application relates to the technical field of power generation, and specifically relates to a virtual power plant control method and system based on edge computing. Background Art

[0002] The proposal of virtual power plant technology provides a solution for the operation of the power system after large-scale new energy power generation systems are connected to the grid. As a bridge connecting the power system and distributed energy, the virtual power plant can ultimately achieve resource integration and peak shaving and valley filling of the power system by controlling flexible resources, electric vehicle loads, controllable loads, energy storage devices, etc. in the power system, thereby ensuring the stable and reliable operation of the power system. Compared with the existing virtual power plant architecture, the virtual power plant scheduling system based on edge computing has intelligent terminals with a large number and various types. The virtual power plant scheduling system can perform data processing at the edge side, and disperse some operations of high-level control to each edge node through small high-performance computing units. In this way, not only the overall data computing and storage capabilities of the network are comprehensively expanded, but also the real-time performance and accuracy of the operations are improved. Summary of the Invention

[0003] Embodiments of the present application disclose a virtual power plant control method and system based on edge computing, which can improve the efficiency and flexibility of processing data of the virtual power plant, thereby improving the efficiency of calculating the operation plan of the virtual power plant.

[0004] Embodiments of the present application disclose a virtual power plant control method based on edge computing, including:

[0005] Obtaining the operation data of the virtual power plant and the power supply and demand of the power plant;

[0006] Calculating the control parameters of the edge side according to the power supply and demand of the power plant;

[0007] Calculating the operation plan of the virtual power plant according to the operation data of the virtual power plant and the edge side control parameters;

[0008] Sending the operation plan of the virtual power plant to the cloud server, and the cloud server controls the operation of the virtual power plant according to the operation plan of the virtual power plant.

[0009] As an optional implementation manner, obtaining the operation data of the virtual power plant and the power supply and demand of the power plant includes:

[0010] Downloading the operation data of the virtual power plant and the power supply and demand of the power plant in the cloud;

[0011] The operation data of the virtual power plant includes: power generation, power supply, energy storage device status, average load, distributed power source status, system maintenance record.

[0012] As an alternative implementation, calculating an operation plan for the virtual power plant based on the operation data of the virtual power plant and edge control parameters, including:

[0013] Constructing a virtual power plant operation planning model on the edge server;

[0014] Inputting the operation data of the virtual power plant and the edge control parameters into the virtual power plant operation planning model;

[0015] The virtual power plant operation planning model outputs the operation plan of the virtual power plant.

[0016] As an alternative implementation, after constructing the virtual power plant operation planning model on the edge server, the method further includes:

[0017] Processing the operation data of the virtual power plant through the edge server to obtain the processed operation data of the virtual power plant;

[0018] Inputting the operation data of the virtual power plant and the edge control parameters into the virtual power plant operation planning model, including:

[0019] Inputting the processed operation data of the virtual power plant and the edge control parameters into the virtual power plant operation planning model.

[0020] As an alternative implementation, after downloading the operation data of the virtual power plant and the power plant supply and demand in the cloud, the method further includes:

[0021] Encrypting the operation data of the virtual power plant and the power plant supply and demand to obtain the encrypted operation data and power plant supply and demand.

[0022] As an alternative implementation, after the cloud server controls the operation of the virtual power plant according to the operation plan of the virtual power plant, the method further includes:

[0023] Collecting the operation status information of the virtual power plant through the edge server;

[0024] Monitoring the operation of the virtual power plant according to the operation status information of the virtual power plant.

[0025] As an alternative implementation, monitoring the operation of the virtual power plant according to the operation status information of the virtual power plant, including:

[0026] If it is detected that the operation status information of the virtual power plant indicates that the current operation is abnormal, generating an exception report according to the operation status information and feeding back the exception report to the cloud server.

[0027] An embodiment of the present application discloses a virtual power plant control system based on edge computing, including:

[0028] A data acquisition module for acquiring the operation data and power plant supply and demand of a virtual power plant;

[0029] A first calculation module for calculating the control parameters of the edge end according to the power plant supply and demand;

[0030] A second calculation module for calculating the operation plan of the virtual power plant according to the operation data of the virtual power plant and the edge end control parameters;

[0031] A plan sending module for sending the operation plan of the virtual power plant to the cloud server, and the cloud server controls the operation of the virtual power plant according to the operation plan of the virtual power plant.

[0032] An embodiment of the present application discloses an electronic device, including a memory and a processor. A computer program is stored in the memory. When the computer program is executed by the processor, the processor implements any one of the virtual power plant control methods based on edge computing disclosed in the embodiments of the present application.

[0033] An embodiment of the present application discloses a computer-readable storage medium that stores a computer program. When the computer program is executed by a processor, any one of the virtual power plant control methods based on edge computing disclosed in the embodiments of the present application is implemented.

[0034] Compared with the related art, the embodiments of the present application have the following beneficial effects:

[0035] The embodiments of the present application provide a virtual power plant control method and system based on edge computing, which acquire the operation data and power plant supply and demand of the virtual power plant; calculate the control parameters of the edge end according to the power plant supply and demand; calculate the operation plan of the virtual power plant according to the operation data of the virtual power plant and the edge end control parameters; send the operation plan of the virtual power plant to the cloud server, and the cloud server controls the operation of the virtual power plant according to the operation plan of the virtual power plant. Implementing the embodiments of the present application, according to the acquired operation data of the virtual power plant and the control parameters of the edge calculated according to the power plant supply and demand, calculate the operation plan of the virtual power plant, and send the operation plan of the virtual power plant to the cloud server. The cloud server controls the operation of the virtual power plant according to the operation plan of the virtual power plant, which can improve the efficiency and flexibility of processing the data of the virtual power plant, thereby improving the efficiency of calculating the operation plan of the virtual power plant. Description of the Drawings

[0036] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained according to these drawings.

[0037] Figure 1It is a schematic flowchart of a virtual power plant control method based on edge computing disclosed in an embodiment of the present application;

[0038] Figure 2 It is a schematic flowchart of another virtual power plant control method based on edge computing disclosed in an embodiment of the present application;

[0039] Figure 3 It is a schematic structural diagram of a virtual power plant control system based on edge computing disclosed in an embodiment of the present application;

[0040] Figure 4 It is a schematic structural diagram of an electronic device disclosed in an embodiment of the present application. Detailed implementation manners

[0041] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0042] It should be noted that the terms "including" and "having" and any variations thereof in the embodiments of the present application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but optionally further includes steps or units not listed, or optionally further includes other steps or units inherent to these processes, methods, products, or devices.

[0043] It can be understood that the terms "first", "second", etc. used in the present application can be used herein to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish one element from another. For example, without departing from the scope of the present application, the first original sequence can be called the second original sequence, and similarly, the second original sequence can be called the first original sequence. Both the first original sequence and the second original sequence are original sequences, but they are not the same original sequence.

[0044] The embodiments of the present application disclose a virtual power plant control method and system based on edge computing, which can efficiently schedule power resources, thereby ensuring the stable operation of the power system. The following will be described in detail respectively.

[0045] Figure 1 It is a schematic flowchart of a virtual power plant control method based on edge computing disclosed in an embodiment of the present application. Among them, Figure 1 The described virtual power plant control method based on edge computing is applicable to an edge server. AsFigure 1 As shown in Figure 1 , the edge computing-based virtual power plant control method may include the following steps:

[0046] Step S101, obtaining the operation data and power supply and demand of the virtual power plant.

[0047] Currently, the mainstream method for power system data processing is cloud computing. Cloud computing integrates computing devices through a cloud platform to form a cloud computing resource pool. Users upload data to the cloud, and after the cloud completes the calculation, the data is returned to the user side. With the continuous increase of terminal devices, the data scale and complexity have been rising continuously, and the data processing ability and decision-making ability of cloud computing have faced huge challenges. In order to ensure that the supply-demand interaction can play an effective role in the power Internet of Things with multi-terminal access, a new data processing method is urgently needed to share the pressure of cloud computing.

[0048] As an emerging computing paradigm, edge computing has been increasingly applied to the field of power system data processing in recent years. Different from the way of cloud computing that centralizes data to the cloud platform for unified processing, edge computing processes data through devices with certain computing capabilities at the network edge, realizing in-situ processing of data near the data source, meeting the low-latency requirements of some computing tasks, alleviating the computing burden of the cloud computing platform, thereby improving the data processing efficiency and reducing the transmission of data in the communication network, enhancing the data security.

[0049] In some embodiments, the edge computing system is divided into four layers: cloud, pipe, edge, and terminal. "Cloud" represents the cloud server, that is, the cloud platform deployed in the power system, including the cloud computing center, cloud data center, and resource pool. The cloud server manages global information. As the upper layer of edge computing, it has the advantages of strong computing power, large storage space, and wide control range, and is responsible for allocating resources for edge computing terminals and collaborating with edge computing terminals to solve some complex data processing problems. Among them, the cloud computing center aggregates computing resources. "Pipe" represents the network layer, that is, the overall management system of the power system information network, responsible for providing data communication between "cloud-edge" and "edge-edge". "Edge" represents the edge layer, which is the core of the edge computing system. It usually refers to edge devices located on the edge side of the information network, including devices such as smart meters and drones, which act as edge computing terminals, edge gateways, edge servers, etc., integrating a series of data processing applications and communication functions, and being able to provide various computing services for data locally. "Terminal" represents the terminal layer, including various power system energy supply and demand terminals, such as photovoltaic power plants, buildings, electric vehicles, etc. The terminal device layer is the source of data generation, with limited data processing ability, and is usually responsible for data perception, uploading, and executing commands issued by the edge device layer or cloud service layer.

[0050] As an alternative implementation, the operation data of the virtual power plant and the power plant supply and demand are downloaded in the cloud; the operation data of the virtual power plant includes: power generation, power supply, energy storage device status, average load, distributed power source status, and system maintenance records. Among them, the power plant supply and demand can be used to describe the power supply situation of the power plant and the power consumption required by users. Downloading the operation data of the virtual power plant and the power plant supply and demand in the cloud can improve the efficiency of data acquisition, thereby providing a basis for calculating the operation plan of the virtual power plant.

[0051] After downloading the operation data of the virtual power plant and the power plant supply and demand in the cloud, the operation data of the virtual power plant and the power plant supply and demand can be stored in the edge server. The data generated by edge computing and the data to be calculated collected are generally stored through three technologies: First, for data that the user side does not need to access in real time or has low requirements for real-time performance, such as system upgrade files, historical data that has been calculated, etc., the edge computing terminal usually selects the cloud-edge collaborative storage technology for storage. That is, all these data are uploaded to the cloud for storage, and at the same time, the latest several versions of backups are retained on the edge side. This method not only saves the precious storage resources of the edge storage system but also does not cause losses due to slow data reading. Second, for the data to be calculated and the calculated data with high requirements for real-time performance, the edge side first reduces the data scale through technologies such as model compression and model lightweighting, and then stores it in the edge storage system, realizing the sharing of key data on the edge side. Compared with cloud storage, the edge storage system has better real-time performance and convenience. Third, for some data with extremely high real-time requirements for data processing, edge computing adopts stream computing technology to achieve edge stream processing of data, that is, generating, storing, and calculating immediately. Stream computing provides continuous and dynamic analysis of a large amount of data streams and does not require pre-storing the data.

[0052] Step S102, calculate the control parameters of the edge end according to the power plant supply and demand.

[0053] Step S103, calculate the operation plan of the virtual power plant according to the operation data of the virtual power plant and the edge end control parameters.

[0054] In some embodiments, a virtual power plant operation planning model is constructed in the edge server; the operation data of the virtual power plant and the edge end control parameters are input into the virtual power plant operation planning model; the virtual power plant operation planning model outputs the operation plan of the virtual power plant. Among them, the operation plan of the virtual power plant can be used to indicate the overall operation situation of the virtual power plant, including the allocation of power resources and the solution to the problem of power resource storage.

[0055] As an alternative implementation, the edge server processes the operation data of the virtual power plant to obtain the processed operation data of the virtual power plant; the processed operation data of the virtual power plant and the edge control parameters are input into the virtual power plant operation planning model. Among them, processing the operation data of the virtual power plant may include one or more of data cleaning methods such as deduplication and deletion of error data, which is not limited here. By processing the operation data of the virtual power plant to obtain the processed operation data of the virtual power plant, the accuracy of the calculated operation plan can be improved.

[0056] As an alternative implementation, after downloading the operation data of the virtual power plant and the power plant supply and demand in the cloud, the operation data of the virtual power plant and the power plant supply and demand can be encrypted to obtain the encrypted operation data and power plant supply and demand. When processing data at the supply and demand terminal, the privacy and security of information need to be emphasized. Because the data received by the edge computing terminal contains a large amount of privacy and confidential data of generator sets, key equipment, and users, the leakage of this data will pose a huge security threat. The edge server does not have the information protection ability of the cloud server. Therefore, the edge server is currently a key target of information attacks, which brings a huge challenge to the information protection ability of edge computing. For this reason, edge computing can use one or more of data encryption technology, blockchain technology, or dynamic control technology after supply and demand terminal attacks to encrypt the operation data of the virtual power plant and the power plant supply and demand, and obtain the encrypted operation data and power plant supply and demand.

[0057] Data encryption technology is the most direct method to protect data security. Edge computing terminals usually use digital encryption methods such as digital signatures and homomorphic cryptography to encrypt the data immediately after receiving it, and transmit this data through data aggregation communication technology. In addition, some innovative data encryption methods have also been proposed in related research. For example, an edge information encryption system based on double-door traps can improve the privacy, confidentiality, and integrity of data.

[0058] Blockchain is a distributed technology with the characteristics of security, trust, and anti-tampering. As a distributed system, edge computing provides support for the successful deployment of blockchain. Using the consensus mechanism, identity isolation algorithm, zero-knowledge proof, etc. of blockchain can effectively protect the data generated by the supply and demand terminal. At present, some research has contributed to the aspect of edge computing supporting blockchain technology to protect data privacy.

[0059] After the supply-demand terminal is attacked, the dynamic control technology is to face network attacks. In addition to protecting data, corresponding methods after being attacked also need to be considered. The dynamic control technology first identifies network events on the edge side. When detecting network attack behaviors, the edge computing terminal will issue corresponding security response control instructions and modify the response strategy according to the development of the event, so as to reduce the losses caused by network attacks and reduce their harm.

[0060] Step S104: Send the virtual power plant operation plan to the cloud server, and the cloud server controls the operation of the virtual power plant according to the operation plan of the virtual power plant.

[0061] The cloud server is the control center of the virtual power plant. The formulation of various strategies for the supply-demand interaction of the virtual power plant is completed by the cloud server, and the operation plan is also generated by the cloud platform and sent to each node. In some embodiments, the virtual power plant operation plan is sent to the cloud server, and the cloud server can control the operation of the virtual power plant according to the operation plan of the virtual power plant and send the operation plan to each node controlled by the cloud server.

[0062] In the embodiment of the present application, the operation data of the virtual power plant and the power plant supply-demand are obtained; the control parameters of the edge side are calculated according to the power plant supply-demand; the operation plan of the virtual power plant is calculated according to the operation data of the virtual power plant and the edge side control parameters; the virtual power plant operation plan is sent to the cloud server, and the cloud server controls the operation of the virtual power plant according to the operation plan of the virtual power plant. According to the obtained operation data of the virtual power plant and the control parameters of the edge calculated according to the power plant supply-demand, the operation plan of the virtual power plant is calculated and the virtual power plant operation plan is sent to the cloud server, and the cloud server controls the operation of the virtual power plant according to the operation plan of the virtual power plant, which can improve the efficiency and flexibility of processing the data of the virtual power plant, thereby improving the efficiency of calculating the operation plan of the virtual power plant.

[0063] Figure 2 It is a schematic flowchart of another virtual power plant control method based on edge computing disclosed in the embodiment of the present application. In one embodiment, as Figure 2 shown, the method further includes the following steps:

[0064] Step S201: Obtain the operation data of the virtual power plant and the power plant supply-demand.

[0065] Step S202: Calculate the control parameters of the edge side according to the power plant supply-demand.

[0066] Step S203: Calculate the operation plan of the virtual power plant according to the operation data of the virtual power plant and the edge side control parameters.

[0067] Step S204: Send the virtual power plant operation plan to the cloud server, and the cloud server controls the operation of the virtual power plant according to the operation plan of the virtual power plant.

[0068] For the descriptions of Steps S201 - S204, reference can be made to the descriptions of Steps S101 - S104, which will not be elaborated here.

[0069] Step S205: Collect the operation status information of the virtual power plant through the edge server.

[0070] Step S206: Monitor the operation of the virtual power plant according to the operation status information of the virtual power plant.

[0071] In some embodiments, the operation status information of the virtual power plant may include the operation status information of the power transmission side and the operation status information of the power transformation side of the virtual power plant. Among them, the operation status information of the power transmission side may include current data, voltage data, temperature parameters, etc. on the power transmission side. The operation status information of the power transformation side includes transformation voltage data, frequency conversion data, etc. for high - voltage power transformation.

[0072] Furthermore, if it is detected that the operation status information of the virtual power plant indicates that the current operation is abnormal, an exception report is generated according to the operation status information and the exception report is fed back to the cloud server.

[0073] The edge server can collect the operation status information of the virtual power plant in real time and monitor this operation status information. Once an abnormality occurs, the edge node can issue an alarm in a timely manner to notify the operation and maintenance personnel for repair. The combination of real - time fault monitoring and rapid response helps to reduce the power outage time and improve the reliability and security of the supply - demand interaction. In addition, the edge server can also be used for power transmission line inspection. The specific implementation method is to conduct automated inspection of the power transmission line through edge - computing devices such as drones and helicopters equipped with functions such as intelligent recognition to maintain the stable power transmission of the power transmission line and thus ensure the implementation of the supply - demand interaction strategy.

[0074] The power transformation side is responsible for transforming and frequency - converting the electric energy transmitted by the high - voltage power transmission line to meet the power consumption requirements of different voltage levels. The operation status of the substation directly affects the stability of the supply - demand interaction. Only when parameters such as voltage and frequency in the power system are stable within a certain range can the relevant strategies of the supply - demand interaction be implemented. Edge computing can deploy small computing devices inside the substation to process sensor data locally in real time, reducing data transmission latency. The edge - computing terminal can analyze data through processing methods such as data fusion and dynamic deduction, which helps to detect potential problems, such as current overload and voltage abnormality, more quickly. Edge computing can also analyze historical data and apply machine - learning algorithms to predict the possibility of equipment failure. This helps to formulate more effective maintenance plans, reduce downtime, and improve the reliability of equipment.

[0075] Please refer to Figure 3 , Figure 3 which is a schematic structural diagram of a virtual power plant control system based on edge computing disclosed in an embodiment of the present application. As Figure 3 shown, the virtual power plant control system 300 based on edge computing may include: a data acquisition module 301, a first calculation module 302, a second calculation module 303, and a scheme sending module 304.

[0076] The data acquisition module 301 is used to acquire the operation data of the virtual power plant and the power supply and demand of the power plant;

[0077] The first calculation module 302 is used to calculate the control parameters of the edge side according to the power supply and demand of the power plant;

[0078] The second calculation module 303 is used to calculate the operation scheme of the virtual power plant according to the operation data of the virtual power plant and the edge side control parameters;

[0079] The scheme sending module 304 is used to send the operation scheme of the virtual power plant to the cloud server, and the cloud server controls the operation of the virtual power plant according to the operation scheme of the virtual power plant.

[0080] In one embodiment, the data acquisition module 301 is further used to download the operation data of the virtual power plant and the power supply and demand of the power plant in the cloud; the operation data of the virtual power plant includes: power generation, power supply, energy storage device status, average load, distributed power source status, system maintenance record.

[0081] In one embodiment, the second calculation module 303 further includes a model construction unit, a parameter input unit, and a scheme output unit:

[0082] The model construction unit is used to construct a virtual power plant operation planning model on the edge server;

[0083] The parameter input unit is used to input the operation data of the virtual power plant and the edge side control parameters into the virtual power plant operation planning model;

[0084] The scheme output unit is used to output the operation scheme of the virtual power plant by the virtual power plant operation planning model.

[0085] In one embodiment, the virtual power plant control system 300 based on edge computing further includes a data processing module:

[0086] The data processing module is used to process the operation data of the virtual power plant through the edge server to obtain the processed operation data of the virtual power plant;

[0087] The parameter input unit is further used to input the processed operation data of the virtual power plant and the edge control parameters into the virtual power plant operation planning model.

[0088] In one embodiment, the virtual power plant control system 300 based on edge computing further includes a data encryption module:

[0089] The data encryption module is used to encrypt the operation data of the virtual power plant and the power supply and demand of the power plant to obtain the encrypted operation data and power supply and demand of the power plant.

[0090] In one embodiment, the virtual power plant control system 300 based on edge computing further includes an information collection module and an operation monitoring module:

[0091] The information collection module is used to collect the operation status information of the virtual power plant through an edge server;

[0092] The operation monitoring module is used to monitor the operation of the virtual power plant according to the operation status information of the virtual power plant.

[0093] In one embodiment, the operation monitoring module is further used to generate an exception report according to the operation status information and feedback the exception report to the cloud server if it detects that the operation status information of the virtual power plant indicates that the current operation is abnormal.

[0094] Please refer to Figure 4 , Figure 4 which is a schematic structural diagram of an electronic device disclosed in an embodiment of the present application. As Figure 4 shown, the electronic device 400 may include:

[0095] A memory 401 storing executable program code;

[0096] A processor 402 coupled to the memory 401;

[0097] Among them, the processor 402 calls the executable program code stored in the memory 401 to execute any one of the virtual power plant control methods disclosed in the embodiments of the present application.

[0098] An embodiment of the present application discloses a computer-readable storage medium storing a computer program, wherein when the computer program is executed by a processor, the processor implements any one of the virtual power plant control methods disclosed in the embodiments of the present application.

[0099] An embodiment of the present application discloses a computer program product, including a computer program, and when the computer program is executable by a processor, it implements the methods described in the above embodiments.

[0100] It should be understood that the "one embodiment" or "an embodiment" mentioned throughout the specification means that the specific features, structures or characteristics related to the embodiment are included in at least one embodiment of the present application. Therefore, the appearances of "in one embodiment" or "in an embodiment" throughout the specification do not necessarily refer to the same embodiment. In addition, these specific features, structures or characteristics can be combined in one or more embodiments in any suitable manner. Those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily essential to the present application.

[0101] In various embodiments of the present application, it should be understood that the magnitudes of the serial numbers of the above processes do not necessarily mean the inevitable sequence of execution. The execution sequence of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0102] The units described as separate components above may or may not be physically separated. The components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0103] In addition, in each embodiment of the present application, each functional unit can be integrated into a processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

[0104] If the above integrated unit 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-accessible memory. Based on this understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions for causing a computer device (which can be a personal computer, a server or a network device, etc., specifically, the processor in the computer device) to execute some or all of the steps of the above methods in each embodiment of the present application.

[0105] Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing relevant hardware through a program, and this program can be stored in a computer-readable storage medium. The storage medium includes read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc memories, magnetic disc memories, magnetic tape memories, or any other medium that can be used to carry or store data and is computer-readable.

[0106] The above has introduced in detail a virtual power plant control method and system based on edge computing disclosed in the embodiments of the present application. Specific examples are used in this article to elaborate on the principle and implementation manner of the present application. The description of the above embodiments is only used to help understand the method and its core idea of the present application. At the same time, for those of ordinary skill in the art, according to the idea of the present application, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation to the present application.

Claims

1. A virtual power plant control method based on edge computing, characterized in that: include: Obtaining virtual power plant operation data and power plant supply and demand; Calculate control parameters of the edge based on the supply and demand of the power plant; Calculating an operation plan of the virtual power plant according to the operation data of the virtual power plant and the edge control parameters; The operation plan of the virtual power plant is sent to a cloud server, and the cloud server controls the operation of the virtual power plant according to the operation plan of the virtual power plant.

2. A virtual power plant control method based on edge computing according to claim 1, characterized in that: The obtaining of the operation data of the virtual power plant and the supply and demand of the power plant includes: Downloading virtual power plant operation data and power plant supply and demand in the cloud; The operating data of the virtual power plant includes: power generation, power supply, energy storage equipment status, average load, distributed power supply status, and system maintenance records.

3. A virtual power plant control method based on edge computing according to claim 2, characterized in that: The calculating the operation plan of the virtual power plant according to the operation data of the virtual power plant and the edge control parameters includes: Build a virtual power plant operation planning model on the edge server; Inputting the operation data and edge control parameters of the virtual power plant into the virtual power plant operation planning model; The virtual power plant operation planning model outputs an operation plan of the virtual power plant.

4. A virtual power plant control method based on edge computing according to claim 3, characterized in that: After the virtual power plant operation planning model is constructed on the edge server, the method further includes: Processing the operating data of the virtual power plant through the edge server to obtain processed operating data of the virtual power plant; The step of inputting the operation data and edge control parameters of the virtual power plant into the virtual power plant operation planning model includes: The processed operation data and edge control parameters of the virtual power plant are input into the virtual power plant operation planning model.

5. The virtual power plant control method based on edge computing according to claim 2 is characterized in that: After downloading the operation data of the virtual power plant and the supply and demand of the power plant in the cloud, the method further includes: The operation data and the supply and demand of the virtual power plant are encrypted to obtain the encrypted operation data and the supply and demand of the power plant.

6. A virtual power plant control method based on edge computing according to claim 1, characterized in that: After the cloud server controls the operation of the virtual power plant according to the operation plan of the virtual power plant, the method further includes: Collect the operating status information of the virtual power plant through the edge server; The operation status of the virtual power plant is monitored according to the operation status information of the virtual power plant.

7. A virtual power plant control method based on edge computing according to claim 6, characterized in that: The monitoring of the operation of the virtual power plant according to the operation status information of the virtual power plant includes: If it is detected that the operating status information of the virtual power plant indicates that there is an abnormality in the current operation, an abnormality report is generated based on the operating status information, and the abnormality report is fed back to the cloud server.

8. A virtual power plant control system based on edge computing, characterized in that: include: Data acquisition module, used to obtain the operation data of the virtual power plant and the supply and demand of the power plant; A first calculation module, used to calculate the control parameters of the edge according to the supply and demand of the power plant; A second calculation module, used to calculate an operation plan of the virtual power plant according to the operation data of the virtual power plant and the edge control parameters; The plan sending module is used to send the virtual power plant operation plan to the cloud server, and the cloud server controls the operation of the virtual power plant according to the operation plan of the virtual power plant.

9. An electronic device, characterized in that: It includes a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the processor implements a virtual power plant control method based on edge computing as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, a virtual power plant control method based on edge computing is implemented as described in any one of claims 1 to 7.

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