CN112398946A - Source network load storage scheduling control system and configuration method - Google Patents
Source network load storage scheduling control system and configuration method Download PDFInfo
- Publication number
- CN112398946A CN112398946A CN202011287419.1A CN202011287419A CN112398946A CN 112398946 A CN112398946 A CN 112398946A CN 202011287419 A CN202011287419 A CN 202011287419A CN 112398946 A CN112398946 A CN 112398946A
- Authority
- CN
- China
- Prior art keywords
- data
- edge computing
- scheduling
- layer
- service
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y30/00—IoT infrastructure
- G16Y30/10—Security thereof
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/04—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks
- H04L63/0428—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
- H04L9/32—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials
- H04L9/3247—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials involving digital signatures
- H04L9/3252—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials involving digital signatures using DSA or related signature schemes, e.g. elliptic based signatures, ElGamal or Schnorr schemes
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/128—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment involving the use of Internet protocol
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/20—Information technology specific aspects, e.g. CAD, simulation, modelling, system security
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Computer Security & Cryptography (AREA)
- Computing Systems (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Power Engineering (AREA)
- Computer Hardware Design (AREA)
- General Engineering & Computer Science (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses a source network load storage scheduling control system and a configuration method, wherein the source network load storage scheduling control system comprises a terminal equipment layer, an edge computing layer and a scheduling computing layer, the terminal equipment layer and the edge computing layer are in communication connection through a block chain encryption network, and the edge computing layer and the scheduling computing layer are in communication connection through a power transmission network. The configuration method comprises two methods, namely a collaborative business function planning method of an edge calculation layer and a scheduling calculation layer, and specifically, different business function distribution is carried out on the edge calculation layer and the scheduling calculation layer; and secondly, constructing a block method of the power supply index block chain, specifically, collecting information of the terminal equipment, calculating a weight value, scheduling according to the weight value, then issuing a new block to replace the old block and circulating, so that the power utilization terminal can search according to the information in the latest block of the power supply index block chain and search for a proper power supply terminal. The invention is beneficial to the stable scheduling and the safety of the source network load storage.
Description
Technical Field
The invention relates to the field of scheduling control automation and network security protection operation and maintenance, in particular to a source network load storage scheduling control system and a configuration method.
Background
The electric power energy industry is the foundation of national economy and is also an important guarantee for realizing economic sustainable development. Although the development level of the electric power energy industry in China is at the forefront of the world, a series of problems of unreasonable energy structure, low energy utilization efficiency, low development and utilization rate of renewable energy sources and the like still exist. In order to coordinate contradictions between an electric power system and distributed renewable energy sources and deal with a series of problems encountered in the development process of the electric power energy industry, the value and benefit brought to the electric power system and users by the energy Internet of 'new energy + Internet' are fully excavated, and a source network load and storage concept is provided by a plurality of experts at home and abroad. The source network load storage realizes organic integral regulation and control of various types of distributed energy sources and loads through gathering the distributed generator set, the energy storage system and the controllable loads together and through advanced data communication and coordination control technology, is equivalent to a single controllable unit relative to a power grid, can greatly reduce the challenge of randomness and volatility of high-permeability distributed generation on operation and scheduling of a main grid, and can actively participate in scheduling response of the power grid. In addition, the source network load storage integrates wider distributed resources and loads into a whole to participate in power system scheduling, so that the characteristic of stable output of a traditional power plant can be exerted, and better complementarity is achieved due to the fact that various power generation and utilization units are integrated, and the source network load storage can better participate in scheduling, auxiliary service and the like before and in the day of the main network. Therefore, the aggregation distributed power supply based on source network load storage participates in power grid dispatching response, and the method is an effective technical approach for realizing high-permeability distributed energy grid-connected operation and participating in dispatching. In the process of researching a source network load storage system, a plurality of experts propose a plurality of constructive architecture building methods, but the problems of commonalities of source network load storage, real-time performance, expansibility, safety and reliability and the like are still to be improved.
With the application of a large amount of internet of things devices in source network load storage, real-time heterogeneous data generated by the internet of things devices can reach a PB level, so that when communication with a cloud (scheduling end) server is frequent, the problems of response delay, data packet loss and the like caused by network congestion of an internet of things terminal can also affect the real-time performance of source network load storage scheduling control. As a calculation mode suitable for large-scale Internet of things equipment application, edge calculation is preliminarily applied to the fields of city construction, medical health, home trip, industrial manufacturing and the like, and the basic idea is as follows: the application, the service and the data are deployed in the edge nodes of the distributed Internet of things, a large number of calculation tasks are placed on the servers of the edge nodes, so that the requirements of services on high real-time performance and reliability are met, network congestion caused by large-scale and frequent data communication with the dispatching end server is avoided, and the calculation pressure of the dispatching end server is reduced. The block link is a technology capable of effectively solving the problems of information non-tamper property and communication trust, and is applied to the fields of various energy internet of things such as source network charge storage, electricity utilization transaction, energy storage technology, vehicle networking and the like due to the characteristics of decentralization, information interconnection sharing and non-tamper property. In the existing system, the source network load storage realizes the interaction of information and data of each part such as a power generation side, a demand side, a scheduling control application and the like through a bidirectional communication technology, but a special guarantee system aiming at the information security of the source network load storage network is lacked, and the risks of unauthorized acquisition and illegal tampering of key data exist.
Disclosure of Invention
The invention aims to make up for the defects of the prior art and provides a source network load storage scheduling control system and a configuration method.
In order to solve the technical problems, the invention adopts the following technical scheme:
a source network load storage scheduling control system comprises a terminal equipment layer, an edge computing layer and a scheduling computing layer, wherein the terminal equipment layer and the edge computing layer are in communication connection through a block chain encryption network, and the edge computing layer and the scheduling computing layer are in communication connection through a power transmission network;
the terminal equipment layer comprises a plurality of terminal equipment comprising a distributed generator set, an energy storage system and a controllable load, the plurality of terminal equipment are all provided with an Internet of things terminal, and are connected with the edge computing nodes associated with the terminal equipment respectively through different communication interface protocols for communication, and meanwhile, real-time data of the terminal side is uploaded to the edge computing nodes associated with the terminal equipment respectively;
the edge computing layer comprises a plurality of edge computing nodes, and each edge computing node comprises a control unit, an edge computing gateway server and an edge node database; in the same edge computing node, the control unit acquires and uploads associated terminal side real-time data to the edge computing gateway server, the associated terminal side real-time data are processed in the edge computing gateway server through a series of application services, a part of the processed data are uploaded to the scheduling computing layer through a power transmission network, the rest of the processed data are stored in the edge node database for subsequent computing and calling, and meanwhile, the data processed by the edge computing gateway server can provide decision basis for edge computing or scheduling end computing control instructions;
the dispatching calculation layer is provided with a high-performance server and a database device, so that the calculation analysis and the function processing of the source network load storage mass data are realized, and the complementary and complete function support is provided for each edge calculation node.
Further, in the same edge computing node, the control unit and the edge computing gateway server invoke application services of data preprocessing and data computing analysis to process the associated real-time data at the terminal side, wherein the data preprocessing is completed by the control unit, the data computing analysis is completed by the edge computing gateway server, the data preprocessing provides effective multivariate data for the data computing analysis, and the edge node database is used for storing the multivariate data, node information and associated terminal device attribute information.
Further, the scheduling computation layer comprises an operator workstation, a forwarding server, an application server, a data server and a scheduling end database.
Further, the power transmission network comprises a network security protection module, a network transmission module and an interface module which are sequentially and interactively connected, the network security protection module directly encrypts data transmitted between the edge computing layer and the scheduling computing layer, application functions of the two computing layers are safely and reliably developed, the network transmission module forms data link links by using network equipment through different rules, and the interface module forwards the data by establishing an interface protocol.
Further, the block chain encryption network encrypts data based on an elliptic curve digital signature algorithm in cryptography, and is authenticated by all nodes of the whole network together.
A configuration method based on a source network load storage scheduling control system comprises a collaborative service function planning method of an edge computing layer and a scheduling computing layer and a block method for constructing a power supply index block chain.
The edge computing layer and scheduling computing layer collaborative business function planning method comprises the following steps:
the edge computing layer is distributed with three service functions and respectively comprises a power grid operation data access service, an edge computing node internal resource analysis service and an edge computing node internal scheduling service, wherein the power grid operation data access service is used for analyzing the power grid operation condition of the source network charge storage in the edge computing node, the edge computing node internal resource analysis service is used for analyzing the adjustable resources participating in the source network charge storage according to the power grid operation monitoring data and providing an adjustable unit for the edge computing node internal scheduling, and the edge computing node internal scheduling service is used for realizing the cooperative optimization in the node by scheduling the adjustable resources according to the real-time operation state of each terminal device after the operation state of each terminal device is monitored;
the system comprises a scheduling computation layer, a power management layer and a coordination decision analysis layer, wherein the scheduling computation layer is distributed with five service functions, namely a basic data service, a graphical interface service, a right management service, a general alarm service and a coordination decision analysis service, the basic data service is used for providing accurate real-time data processing and historical data storage, the graphical interface service is used for providing a friendly graphical display function, the right management service is used for performing data processing according to hierarchical rights, the general alarm service is used for providing a push function of timely system alarm, equipment operation alarm and manual operation alarm, and the coordination decision analysis.
The block method for constructing the power supply index block chain comprises the following steps:
1) all power supply terminals continuously broadcast power supply information data to the whole network in the edge computing node and attach ID of a sender;
2) all power supply terminals independently monitor and record the whole network data in the edge computing node;
3) after a preset time interval, each power supply terminal sends respective power supply information data to the whole network in the edge computing node, wherein the power supply information data comprises power generation capacity information, information of whether the power supply information data is renewable energy or not and power generation stability degree information;
4) according to power supply information data of the power supply terminals, the edge computing node can calculate an information weight value, fault tolerance can be formulated according to the proportion of the number of the power supply terminals receiving the information to the total number of the power supply terminals in the calculating process, all the power supply terminals in the edge computing node are known together within the allowable range of the fault tolerance, and then scheduling is carried out according to the weight value;
5) and finally, releasing a new block, deleting the old power supply terminal information, and starting a new round of block circulation.
Compared with the prior art, the invention has the beneficial effects that:
1. fast and efficient computing, transmission and storage capacity. The edge calculation process shares part of data processing work of the calculation process of the source network load storage server side, greatly improves data communication performance, reduces data transmission rate, complements the calculation process of the server side, and completes data processing work together with the calculation process of the server side, so that the PB-level mass data in the era of the Internet of things are processed.
2. The diversity of the interaction capacity is improved. Compared with the traditional calculation model, the edge calculation model has the advantages that the bearing capacity of data is greatly enhanced, the processing speed of the overall data is improved, more user interaction information can be processed in a short time, and the single user execution capacity is improved.
3. And a more reliable network security protection system. The server of source network charge storage is deployed at the network side in the power network, and the data transmission of the server uses a special power encryption algorithm and cannot be compatible with the terminal on the Internet. After the edge calculation and the block chain are introduced, the edge nodes can be used as boundary nodes of the power network, and the safety and reliability of the edge nodes and the internet of things terminal can be improved by using the advantages of the block chain.
Drawings
In order that the advantages of the invention will be readily understood, a more particular description of the invention briefly described above will be rendered by reference to specific embodiments that are illustrated in the appended drawings. Understanding that these drawings depict only typical embodiments of the invention and are not therefore to be considered to be limiting of its scope, the invention will be described and explained with additional specificity and detail through the use of the accompanying drawings.
FIG. 1 is a schematic configuration diagram of an edge compute node according to the present invention;
FIG. 2 is a schematic diagram of a source network load-store scheduling control system according to the present invention;
fig. 3 is a schematic diagram of a source network load storage cooperative service function planning in the present invention.
Detailed Description
In the following description, numerous specific details are set forth in order to provide a more thorough understanding of the present invention. It will be apparent, however, to one skilled in the art, that embodiments of the invention may be practiced without one or more of these specific details. In other instances, well-known features have not been described in detail so as not to obscure the embodiments of the invention.
In the following description, a detailed structure will be presented for a thorough understanding of embodiments of the invention. It is apparent that the implementation of the embodiments of the present invention is not limited to the specific details familiar to those skilled in the art. The following detailed description of preferred embodiments of the invention, however, the invention is capable of other embodiments in addition to those detailed.
Embodiments of the invention are described in further detail below with reference to the accompanying drawings:
as shown in fig. 1, the edge computing node is located in the source network load storage and at the edge of the terminal network of the internet of things, or is a distributed network node that integrates the relevant internet of things device nodes and has a certain computing processing capability. The edge computing node comprises a control unit, an edge computing gateway server and an edge node database; the terminal equipment is in communication connection with the edge computing node through the Internet of things terminal, the Internet of things terminal is used for acquiring real-time data of the terminal equipment and transmitting the acquired real-time data of the terminal side to the edge computing node, specifically, the Internet of things terminal is connected to the control unit through the optical fiber communication interface, the real-time data of the terminal equipment is acquired through the control unit and is uploaded to the edge computing gateway server, the real-time data of the terminal side is processed through a series of application services in the edge computing gateway server, a part of the processed data is uploaded to the dispatching end through the power transmission network, and the rest of the processed data in the edge computing node is stored in the edge node database for subsequent computing and calling. Meanwhile, data processed by the edge computing gateway server can provide decision basis for the edge computing or the dispatching end computing control instruction.
On the basis of configuring the edge computing nodes, the architecture of the source network load storage scheduling control system based on the edge computing and the block chain can be established. As shown in fig. 2, the architecture designs a three-layer two-network system, and realizes the working idea of compatible cooperation between the scheduling end and the edge computing node end.
The three layers of the architecture refer to a terminal device layer, an edge calculation layer and a scheduling calculation layer. The bottom layer of the framework is a terminal device layer, and is provided with various distributed generator sets, energy storage systems and load-controllable terminal devices, such as photovoltaic power generation, wind power generation, energy storage power stations, intelligent building air conditioners, intelligent household appliances, automobile charging piles and other terminal devices, various terminal devices are connected and communicated with respective associated edge computing nodes through different communication interface protocols by using respective internet of things terminals, and meanwhile, real-time data of terminal sides are uploaded to the associated edge computing nodes. The middle layer of the framework is an edge computing layer, the edge computing layer comprises a plurality of edge computing nodes, each edge computing node is provided with an independent edge node database and is used for storing multivariate data, node information, associated terminal equipment attribute information and the like, a control unit in the edge computing node and an edge computing gateway server call application services such as data preprocessing and data computing analysis to process real-time data uploaded by the terminal equipment layer, wherein the data preprocessing is generally completed by control unit equipment, the data computing analysis is generally completed by an edge computing gateway server, and the data preprocessing provides effective multivariate data for the data computing analysis. The top layer of the framework is a scheduling calculation layer, and the layer is provided with a high-performance server and a database device, particularly comprises an operator workstation, a forwarding server, an application server, a data server and a scheduling end database, so that the calculation analysis and the function processing of the mass data stored in the source network can be realized, and the complementary and complete function support is provided for the edge calculation node.
The two networks of the architecture are referred to as an internal network (power transmission network) and an external network (block chain encryption network). The internal network is a bridge of an edge computing layer and a dispatching computing layer, is also a foundation of cooperative work of a source network load storage cloud edge, and specifically comprises a network security protection module, a network transmission module and an interface module; the network security protection module directly encrypts data transmitted between the edge computing layer and the scheduling computing layer, so that two layers of application functions can be safely and reliably developed, the network transmission module forms bottom layer data link links through different rules by utilizing network equipment such as a router, a switch and the like, and the interface module plays a role in forwarding data among the equipment through establishing an interface protocol. The outer network encrypts data based on an elliptic curve digital signature algorithm in cryptography, and is authenticated by all nodes of the whole network together, and the characteristic can provide powerful guarantee for the information security of each distributed main body in the source network.
After the concept of the edge computing node is introduced, the collaborative service functions of the source network load storage edge computing layer and the scheduling computing layer need to be re-planned, and the specific service function planning is shown in fig. 3. Three service functions are distributed on the edge calculation layer, wherein the three service functions are that the power grid operates a data access service: analyzing the running condition of the power grid participating in source grid load storage of the edge computing node; secondly, resource analysis service in the edge computing node: analyzing adjustable resources participating in source network load storage according to power grid operation monitoring data, and providing adjustable units for next-step scheduling in edge computing nodes; thirdly, scheduling service in the edge computing node: and after the operation state of each terminal device is monitored, scheduling the adjustable resources according to the real-time operation state of each terminal device to realize cooperative optimization in the nodes. Five service functions are distributed in a scheduling calculation layer, wherein one service function is a basic data service: functions of accurate real-time data processing, historical data storage and the like are provided; secondly, graphical interface service: providing friendly graphic display function; thirdly, the authority management service: processing data according to the layering authority; fourthly, the general alarm service: providing a push function of timely system alarm, equipment operation alarm and manual operation alarm; fifthly, coordinating decision analysis service: and the bidirectional coordination optimization and aggregation control functions among all edge computing nodes are realized.
After the concept of the block chain is introduced, due to the tamper resistance and the traceability of the block chain data, the power utilization terminal can search according to the information in the latest block of the power supply index block chain to find a suitable power supply terminal. When constructing a block of the supply index block chain, the following steps may be followed.
1) All power supply terminals continuously broadcast power supply information data to the whole network in the edge computing node and attach ID of a sender;
2) all power supply terminals independently monitor and record the whole network data in the edge computing node;
3) after a preset time interval, each power supply terminal sends respective power supply information data to the whole network in the edge computing node, wherein the power supply information data comprises power generation capacity information, information of whether the power supply information data is renewable energy or not and power generation stability degree information;
4) according to power supply information data of the power supply terminals, the edge computing node can calculate an information weight value, fault tolerance can be formulated according to the proportion of the number of the power supply terminals receiving the information to the total number of the power supply terminals in the calculating process, all the power supply terminals in the edge computing node are known together within the allowable range of the fault tolerance, and then scheduling is carried out according to the weight value;
5) and finally, releasing a new block, deleting the old power supply terminal information, and starting a new round of block circulation.
In view of the advantages of edge calculation and block chain, the invention has compatibility with the source network load storage service from various aspects, and the packetization characteristic of edge calculation is suitable for a source network load storage wide area coordination system. The edge computing node can optimize functions of different access terminals, so that diversified processing is carried out, and on the basis of wide information interconnection of the block chain, the source network load storage can realize friendly expanded multi-terminal ubiquitous interaction. The source network load storage needs to control and operate the terminal user, so the requirement on safety and reliability is very high. After the edge computing node is introduced, data transmission and storage are marginalized, and the security protection strength in the internet transmission process is enhanced due to the non-tampering and traceability of the block chain.
In summary, the present invention is not limited to the above-mentioned embodiments, and those skilled in the art can propose other embodiments within the technical teaching of the present invention, but these embodiments are included in the scope of the present invention.
Claims (8)
1. A source network load storage scheduling control system is characterized by comprising a terminal equipment layer, an edge computing layer and a scheduling computing layer, wherein the terminal equipment layer and the edge computing layer are in communication connection through a block chain encryption network, and the edge computing layer and the scheduling computing layer are in communication connection through a power transmission network;
the terminal equipment layer comprises a plurality of terminal equipment comprising a distributed generator set, an energy storage system and a controllable load, the plurality of terminal equipment are all provided with an Internet of things terminal, and are connected with the edge computing nodes associated with the terminal equipment respectively through different communication interface protocols for communication, and meanwhile, real-time data of the terminal side is uploaded to the edge computing nodes associated with the terminal equipment respectively;
the edge computing layer comprises a plurality of edge computing nodes, and each edge computing node comprises a control unit, an edge computing gateway server and an edge node database; in the same edge computing node, the control unit acquires and uploads associated terminal side real-time data to the edge computing gateway server, the associated terminal side real-time data are processed in the edge computing gateway server through a series of application services, a part of the processed data are uploaded to the scheduling computing layer through a power transmission network, the rest of the processed data are stored in the edge node database for subsequent computing and calling, and meanwhile, the data processed by the edge computing gateway server can provide decision basis for edge computing or scheduling end computing control instructions;
the dispatching calculation layer is provided with a high-performance server and a database device, so that the calculation analysis and the function processing of the source network load storage mass data are realized, and the complementary and complete function support is provided for each edge calculation node.
2. The source network load storage scheduling control system of claim 1, wherein in the same edge computing node, the control unit and the edge computing gateway server invoke application services of data preprocessing and data computing analysis to process associated terminal-side real-time data, wherein the data preprocessing is completed by the control unit, the data computing analysis is completed by the edge computing gateway server, and the data preprocessing provides effective multivariate data for the data computing analysis, and the edge node database is used for storing multivariate data, node information and associated terminal device attribute information.
3. The source network charge-storage scheduling control system of claim 1, wherein the scheduling computation layer comprises an operator workstation, a forwarding server, an application server, a data server, and a scheduling side database.
4. The source network charge storage scheduling control system of claim 1, wherein the power transmission network comprises a network security protection module, a network transmission module and an interface module, which are sequentially and interactively connected, the network security protection module directly encrypts data transmitted between the edge computing layer and the scheduling computing layer, and enables application functions of the two computing layers to be safely and reliably developed, the network transmission module forms data link links by using network equipment and through different rules, and the interface module forwards the data by establishing an interface protocol.
5. The source network charge-storage scheduling control system of claim 1, wherein the blockchain encryption network encrypts data based on an elliptic curve digital signature algorithm in cryptography and is authenticated by all nodes in the whole network together.
6. A configuration method based on a source network load storage scheduling control system is characterized by comprising a collaborative business function planning method of an edge calculation layer and a scheduling calculation layer and a block method for constructing a power supply index block chain.
7. The configuration method according to claim 6, wherein the edge computing layer and the scheduling computing layer cooperate with a service function planning method, comprising the following steps:
the three service functions are distributed to the edge computing layer and are respectively a power grid operation data access service, an edge computing node internal resource analysis service and an edge computing node internal scheduling service, wherein the power grid operation data access service is used for analyzing the power grid operation condition of the source network charge storage in the edge computing node, the edge computing node internal resource analysis service is used for analyzing the adjustable resources participating in the source network charge storage according to the power grid operation monitoring data and providing an adjustable unit for the edge computing node internal scheduling service, and the edge computing node internal scheduling service is used for realizing the cooperative optimization in the node by scheduling the adjustable resources according to the real-time operation state of each terminal device after the operation state of each terminal device is monitored;
the system comprises a scheduling computation layer, a power management layer and a coordination decision analysis layer, wherein the scheduling computation layer is distributed with five service functions, namely a basic data service, a graphical interface service, a right management service, a general alarm service and a coordination decision analysis service, the basic data service is used for providing accurate real-time data processing and historical data storage, the graphical interface service is used for providing a friendly graphical display function, the right management service is used for performing data processing according to hierarchical rights, the general alarm service is used for providing a push function of timely system alarm, equipment operation alarm and manual operation alarm, and the coordination decision analysis.
8. The allocation method according to claim 6, wherein the block method for constructing the power index block chain comprises the following steps:
1) all power supply terminals continuously broadcast power supply information data to the whole network in the edge computing node and attach ID of a sender;
2) all power supply terminals independently monitor and record the whole network data in the edge computing node;
3) after a preset time interval, each power supply terminal sends respective power supply information data to the whole network in the edge computing node, wherein the power supply information data comprises power generation capacity information, information of whether the power supply information data is renewable energy or not and power generation stability degree information;
4) according to power supply information data of the power supply terminals, the edge computing node can calculate an information weight value, fault tolerance can be formulated according to the proportion of the number of the power supply terminals receiving the information to the total number of the power supply terminals in the calculating process, all the power supply terminals in the edge computing node are known together within the allowable range of the fault tolerance, and then scheduling is carried out according to the weight value;
5) and finally, releasing a new block, deleting the old power supply terminal information, and starting a new round of block circulation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011287419.1A CN112398946A (en) | 2020-11-17 | 2020-11-17 | Source network load storage scheduling control system and configuration method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011287419.1A CN112398946A (en) | 2020-11-17 | 2020-11-17 | Source network load storage scheduling control system and configuration method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112398946A true CN112398946A (en) | 2021-02-23 |
Family
ID=74605852
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011287419.1A Withdrawn CN112398946A (en) | 2020-11-17 | 2020-11-17 | Source network load storage scheduling control system and configuration method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112398946A (en) |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113055456A (en) * | 2021-03-09 | 2021-06-29 | 大连理工大学 | Internet of things data management method based on block chain and edge calculation |
| CN113358154A (en) * | 2021-06-03 | 2021-09-07 | 广东工业大学 | Agricultural machinery equipment fault monitoring and tracing system and method |
| CN113357083A (en) * | 2021-08-09 | 2021-09-07 | 东方电气风电有限公司 | Intelligent control system and method for wind generating set |
| CN113452751A (en) * | 2021-05-20 | 2021-09-28 | 国网江苏省电力有限公司信息通信分公司 | Cloud edge cooperation-based power internet of things task secure migration system and method |
| CN113703363A (en) * | 2021-08-25 | 2021-11-26 | 广东电网有限责任公司 | Plug-and-play method of intelligent edge computing gateway in power dispatching cloud |
| CN113780848A (en) * | 2021-09-16 | 2021-12-10 | 国家电网有限公司西北分部 | Source network load storage intelligent regulation and control platform based on block chain |
| CN114390051A (en) * | 2021-12-29 | 2022-04-22 | 江苏波司登科技有限公司 | Data management equipment based on logistics edge gateway and control method thereof |
| CN115150395A (en) * | 2022-06-08 | 2022-10-04 | 南京大学 | HyperLegger Fabric protection accelerator based on batch scheduling |
| CN115361397A (en) * | 2022-08-05 | 2022-11-18 | 中国南方电网有限责任公司 | Power grid data processing method and system based on cloud edge cooperation and block chain |
| WO2024000498A1 (en) * | 2022-06-30 | 2024-01-04 | 西门子股份公司 | Industrial control system, edge device, cloud server, apparatus, and method |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106849997A (en) * | 2017-02-15 | 2017-06-13 | 国网江苏省电力公司电力科学研究院 | Mixed networking method based on power wire broadband carrier |
| CN107171361A (en) * | 2017-06-13 | 2017-09-15 | 中国能源建设集团江苏省电力设计院有限公司 | Coordinate the intellectual power distributing station and net source lotus storage coordinated control system of control based on net source lotus storage |
| US20190319861A1 (en) * | 2018-04-13 | 2019-10-17 | The Curators Of The University Of Missouri | Method and system for secure resource management utilizing blockchain and smart contracts |
| CN110444001A (en) * | 2019-08-29 | 2019-11-12 | 上海戎磐网络科技有限公司 | A kind of ubiquitous electric power data transmission of internet of things system |
| CN110784779A (en) * | 2019-10-28 | 2020-02-11 | 国网上海市电力公司 | Data acquisition method of electricity consumption information acquisition system |
| CN110933176A (en) * | 2019-12-05 | 2020-03-27 | 国家电网有限公司 | Electric power internet of things management and service platform |
| CN111447234A (en) * | 2020-04-01 | 2020-07-24 | 中科全维科技(苏州)有限公司 | Block chain structure suitable for edge calculation |
| CN111506585A (en) * | 2020-03-27 | 2020-08-07 | 华立科技股份有限公司 | Power distribution network energy metering system based on block chain technology |
| CN111754023A (en) * | 2020-05-22 | 2020-10-09 | 明阳智慧能源集团股份公司 | Edge-cloud-cooperated user load prediction control and transaction system and implementation method thereof |
-
2020
- 2020-11-17 CN CN202011287419.1A patent/CN112398946A/en not_active Withdrawn
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106849997A (en) * | 2017-02-15 | 2017-06-13 | 国网江苏省电力公司电力科学研究院 | Mixed networking method based on power wire broadband carrier |
| CN107171361A (en) * | 2017-06-13 | 2017-09-15 | 中国能源建设集团江苏省电力设计院有限公司 | Coordinate the intellectual power distributing station and net source lotus storage coordinated control system of control based on net source lotus storage |
| US20190319861A1 (en) * | 2018-04-13 | 2019-10-17 | The Curators Of The University Of Missouri | Method and system for secure resource management utilizing blockchain and smart contracts |
| CN110444001A (en) * | 2019-08-29 | 2019-11-12 | 上海戎磐网络科技有限公司 | A kind of ubiquitous electric power data transmission of internet of things system |
| CN110784779A (en) * | 2019-10-28 | 2020-02-11 | 国网上海市电力公司 | Data acquisition method of electricity consumption information acquisition system |
| CN110933176A (en) * | 2019-12-05 | 2020-03-27 | 国家电网有限公司 | Electric power internet of things management and service platform |
| CN111506585A (en) * | 2020-03-27 | 2020-08-07 | 华立科技股份有限公司 | Power distribution network energy metering system based on block chain technology |
| CN111447234A (en) * | 2020-04-01 | 2020-07-24 | 中科全维科技(苏州)有限公司 | Block chain structure suitable for edge calculation |
| CN111754023A (en) * | 2020-05-22 | 2020-10-09 | 明阳智慧能源集团股份公司 | Edge-cloud-cooperated user load prediction control and transaction system and implementation method thereof |
Non-Patent Citations (1)
| Title |
|---|
| 许志成;彭志超;杨怡;于天一;刘星: "基于边缘计算+区块链技术的源网荷储系统架构", 《电力信息与通信技术》 * |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113055456A (en) * | 2021-03-09 | 2021-06-29 | 大连理工大学 | Internet of things data management method based on block chain and edge calculation |
| CN113452751A (en) * | 2021-05-20 | 2021-09-28 | 国网江苏省电力有限公司信息通信分公司 | Cloud edge cooperation-based power internet of things task secure migration system and method |
| CN113358154A (en) * | 2021-06-03 | 2021-09-07 | 广东工业大学 | Agricultural machinery equipment fault monitoring and tracing system and method |
| CN113357083A (en) * | 2021-08-09 | 2021-09-07 | 东方电气风电有限公司 | Intelligent control system and method for wind generating set |
| CN113703363A (en) * | 2021-08-25 | 2021-11-26 | 广东电网有限责任公司 | Plug-and-play method of intelligent edge computing gateway in power dispatching cloud |
| CN113780848B (en) * | 2021-09-16 | 2024-06-07 | 国家电网有限公司西北分部 | Source network lotus storage intelligent regulation and control platform based on block chain |
| CN113780848A (en) * | 2021-09-16 | 2021-12-10 | 国家电网有限公司西北分部 | Source network load storage intelligent regulation and control platform based on block chain |
| CN114390051A (en) * | 2021-12-29 | 2022-04-22 | 江苏波司登科技有限公司 | Data management equipment based on logistics edge gateway and control method thereof |
| CN115150395B (en) * | 2022-06-08 | 2023-08-22 | 南京大学 | Hyperledger Fabric protection accelerator based on batch scheduling |
| CN115150395A (en) * | 2022-06-08 | 2022-10-04 | 南京大学 | HyperLegger Fabric protection accelerator based on batch scheduling |
| WO2024000498A1 (en) * | 2022-06-30 | 2024-01-04 | 西门子股份公司 | Industrial control system, edge device, cloud server, apparatus, and method |
| CN115361397A (en) * | 2022-08-05 | 2022-11-18 | 中国南方电网有限责任公司 | Power grid data processing method and system based on cloud edge cooperation and block chain |
| CN115361397B (en) * | 2022-08-05 | 2023-08-01 | 中国南方电网有限责任公司 | Power grid data processing method and system based on cloud edge cooperation and blockchain |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112398946A (en) | Source network load storage scheduling control system and configuration method | |
| CN111525688A (en) | Electric power Internet of things power distribution network system based on 5G network and interconnection method | |
| CN109327323B (en) | New energy grid-connected power communication network planning and optimizing method and system | |
| CN106372780A (en) | Microgrid-based regional interconnection system and method for electric vehicle charging stations | |
| Wang | The Study of Mine Cyber-Physical Systems | |
| CN112491034B (en) | Electric power information physical system modeling method based on alternating current power flow model | |
| CN107222338A (en) | A kind of Internet of things node information traffic model and communication means | |
| CN112580957A (en) | Smart energy management and control system based on cloud platform | |
| CN113078675A (en) | Self-organizing communication method and device for distributed adjustable resource clusters in power distribution station | |
| Liu | The analysis of innovative design and evaluation of energy storage system based on Internet of Things | |
| CN101729342B (en) | Realization method of real-time memory calculation data structure of mixed mobile power system | |
| CN103715771A (en) | Auto generation coordination control platform | |
| CN204424898U (en) | Novel microgrid system control device | |
| Wang et al. | Application of fog architecture based on multi-agent mechanism in CPPS | |
| CN113037837B (en) | Intelligent terminal facing comprehensive energy system and based on edge calculation and control method thereof | |
| Lloret et al. | A group-based protocol for improving energy distribution in smart grids | |
| CN105305502A (en) | Coordination-consistency based distributed power supply control method and system for power distribution network | |
| CN113472839B (en) | Data cascade acquisition and transmission system suitable for gateway bus balance system | |
| Vu et al. | Coordination of networked microgrids for supporting voltages of bulk power systems | |
| Zeng et al. | Key Technologies of Internet of Things and Smart Grid | |
| CN109861304B (en) | Micro-grid economic dispatching method considering communication time-varying time-lag | |
| Xiao et al. | Research on Smart Energy System Technology Based on Cloud Computing Platform | |
| Zhang et al. | Distribution network distributed resources application framework and key technologies based on cloud-edge-device collaboration | |
| CN212569529U (en) | Distributed energy multi-machine remote centralized control management system | |
| Yang et al. | Evolve from Traditional Power Grid Network to Blockchain and IoT Integrated Network |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20210223 |