CN-115587732-B - CPSS system based on cloud edge cooperative control, regulation and control method and application
Abstract
The invention relates to a CPSS system based on cloud-edge cooperative control, a regulation and control method and application, wherein the system comprises a physical layer, an information layer and a social layer, the physical layer is used for collecting electricity utilization information of a user and power generation information of power generation physical equipment, uploading the information to the information layer and executing a scheduling instruction, feeding back an execution result to the information layer, the information layer is used for receiving the electricity utilization information and the power generation information, processing and calculating the electricity utilization information and the power generation information by using a cloud-edge cooperative technology, carrying out decision simulation according to the calculation result, generating the scheduling instruction and a guiding instruction, respectively sending the scheduling instruction and the guiding instruction to the physical layer and the user layer, optimizing simulation decisions according to the execution results fed back by the information layer and the user layer, and the social layer comprises an operator and a user, wherein the operator is used for executing the guiding instruction to regulate the electricity utilization behavior of the user and feeding back the execution result to the information layer. Through cloud edge cooperation technology, cloud computing pressure is reduced, and the supply relation between a user and an operator can be rapidly solved.
Inventors
- XU CHENGUAN
- YU MENG
- ZHU LIANGLIANG
- XIAO CHUPENG
- ZHOU CHAO
- JIANG CHENG
- WANG ZHONGDONG
- WANG ZHENYU
- WANG KUI
- LI YUE
- XU JING
Assignees
- 国网电力科学研究院有限公司
- 国网电力科学研究院武汉能效测评有限公司
- 国网江苏省电力有限公司
- 国家电网有限公司
- 国网江苏省电力有限公司营销服务中心
Dates
- Publication Date
- 20260505
- Application Date
- 20220929
Claims (9)
- 1. The CPSS system based on cloud edge cooperative control is characterized in that an architecture system of the CPSS system comprises a physical layer, an information layer and a social layer; The physical layer is used for collecting the electricity consumption information of the users of the social layer and the electricity generation information of the electricity generation physical equipment of the physical layer, uploading the electricity consumption information and the electricity generation information to the information layer, executing a scheduling instruction issued by the information layer and feeding back an execution result to the information layer; The social layer comprises an operator and a user, wherein the operator is used for carrying out information interaction with the user, executing a guide instruction to adjust the electricity utilization behavior of the user, and feeding back an execution result to the information layer; The information layer is constructed based on a cloud management side architecture system and comprises a cloud control center, a pipeline communication system, an edge server and a virtual artificial system; The pipeline communication system is used for connecting the physical layer, the cloud control center and the edge server, and respectively transmitting electricity utilization information and electricity generation information of the physical layer to the cloud control center and the edge server; the edge server is provided with a plurality of edge computing nodes, is used for receiving electricity utilization information and power generation information, is divided into smaller units which are respectively processed with the units which are easier to manage, performs edge computation on the electricity utilization information and the power generation information based on the plurality of edge computing nodes, establishes an equivalent model of a cluster, and uploads the equivalent model to the cloud control center; The cloud control center is used for receiving user information and power generation information and collecting equivalent models, performing data cleaning, classification, modeling and storage by utilizing cloud computing, big data, artificial intelligence and blockchain to generate a cloud dynamic aggregation model, obtaining data information by the cloud computing, uploading the data information to the virtual artificial system, receiving a simulation decision generated by the virtual artificial system, decomposing the simulation decision into a scheduling instruction and a guiding instruction, transmitting the scheduling instruction and the guiding instruction to the edge server, receiving feedback of an execution result and transmitting the feedback result to the virtual artificial system; The virtual artificial system is used for receiving and sorting the data information uploaded by the cloud control center, extracting characteristics of the data information, modeling, calculating and simulating according to the extracted characteristics, generating a simulation decision, transmitting the simulation decision to the cloud control center, and further optimizing the simulation decision according to feedback of the cloud control center.
- 2. The CPSS system based on cloud edge cooperative control according to claim 1, wherein the edge server is further configured to execute a rule formulated by the cloud control center and feed back a result of the rule execution to the cloud control center, and the cloud control center is further configured to formulate a rule at the edge server and receive feedback of the result of the rule execution.
- 3. The cloud-based cooperative control CPSS system as claimed in claim 1, wherein said cloud control center is further configured to collect user information through the internet.
- 4. The cloud-edge cooperative control based CPSS system as claimed in claim 1, wherein said edge server comprises a task management module, a rule management module and a data management module; the task management module is used for receiving a scheduling instruction and a guiding instruction issued by the cloud control center, controlling the physical layer and the operator to execute and feeding back an execution result to the cloud control center; The data management module is used for receiving the electricity utilization information and the electricity generation information, carrying out summarization and integration and preliminary evaluation analysis on the electricity utilization information and the electricity generation information, establishing an equivalent model of the cluster, and reporting an integration result, an analysis condition and the equivalent model to the cloud control center; the rule management module is used for executing at the side based on rules preset by the cloud control center and feeding back execution results to the cloud control center.
- 5. The cloud-based cooperative control CPSS system according to claim 1, wherein said virtual manual system comprises a database module, a feature extraction module, and a calculation and simulation module; the database module is used for receiving various data information from the cloud control center and classifying and sorting the data information from multiple dimensions of time, space, different physical labels and social labels; the feature extraction module is used for carrying out data processing and data mining on the data in the database through a big data technology, and realizing feature extraction on various data by utilizing a machine learning artificial intelligence technology; The calculation and simulation module is used for modeling the extracted data characteristics, performing calculation experiments, obtaining simulation decisions, transmitting the simulation decisions to the cloud control center, and further optimizing the simulation decisions according to feedback of the cloud control center.
- 6. The CPSS system based on cloud edge cooperative control according to claim 1, wherein the physical layer comprises physical equipment and terminal equipment, the physical equipment comprises power generation physical equipment including photovoltaic power generation, wind power generation, hydroelectric power generation, thermal power generation and energy storage units, and terminal equipment including intelligent ammeter, mobile phone and computer; the power generation physical equipment is used for realizing the collection of real-time power consumption information and power generation information of operation characteristic parameters, output data and load demands through the technology of the terminal equipment, constructing respective regulation and control models through the collected data, transmitting the collected data to the edge server and the cloud control center, and executing a scheduling instruction transmitted by the edge server.
- 7. The cloud-based cooperative control CPSS system as claimed in claim 6, wherein said terminal device technologies include bidirectional metering, meter reading, anomaly monitoring, contact-free interaction.
- 8. The regulation and control method of the CPSS system based on cloud edge cooperative control is characterized by being applied to the CPSS system based on cloud edge cooperative control as claimed in any one of claims 1-7, wherein an architecture system of the CPSS system comprises a physical layer, an information layer and a social layer, and the method comprises the following steps: The physical layer collects the electricity consumption information of users of the social layer and the electricity generation information of electricity generation physical equipment of the physical layer, uploads the electricity consumption information and the electricity generation information to the information layer, executes a scheduling instruction issued by the information layer and feeds back an execution result to the information layer; The information layer receives electricity information and power generation information, processes and calculates the electricity information and the power generation information by using cloud-edge cooperative technology, performs decision simulation according to a calculation result, generates a scheduling instruction and a guiding instruction, sends the scheduling instruction to the information layer, sends the guiding instruction to the user layer, and further optimizes simulation decisions according to execution results fed back by the information layer and the user layer; The social layer comprises an operator and a user, the operator and the user interact with each other, the guiding instruction is executed to adjust the electricity consumption of the user, and the execution result is fed back to the information layer, so that the supply and demand balance between the user and the operator is realized.
- 9. An application of a CPSS system based on cloud edge cooperative control in micro-grid energy management, wherein the application builds a model targeting overall benefit maximization of operators based on the CPSS system based on cloud edge cooperative control as claimed in any one of claims 1 to 7: 1) Where B is the total profit of the microgrid operator, I is the total revenue of the microgrid operator, and C is the total cost of the microgrid operator; total incomes: 2) Introducing the utilization rate of renewable energy sources: 3) Wherein P users,t refers to the electricity quantity sold by the micro-grid operator to the user within 1 hour, M users,t refers to the electricity price sold by the micro-grid operator to the user within 1 hour, P s,g,t refers to the electricity quantity sold by the micro-grid operator to the power grid within 1 hour, M s,g,t refers to the electricity price sold by the micro-grid operator to the power grid within 1 hour, and P res is a consumed renewable energy source; 4) Wherein, the Refers to the initial electricity load of the user; Is the response after the guidance of the guidance information; 5) Wherein, the The preferential proportionality coefficient of the guiding information; The price elasticity of the guiding information power demand refers to the reaction degree of the relative change of the demand to the relative change of the power price, can reflect the sensitivity degree of the user to the change of the power price, is widely applied to the user response power price model, and has the price elasticity coefficient of A representation; total cost of operators: 6) Wherein, the Refers to the amount of electricity that an operator purchases from the grid, Refers to the price of electricity purchased by an operator from the grid, Refers to the real-time electricity price of an operator selling electricity to a user within 1 hour, Refers to the coefficient of the scheduling cost, Refers to the amount of modulation, ΔP t refers to the response after guidance of the guidance information within 1 hour, η t refers to the preferential proportionality coefficient of the guidance information within 1 hour; Setting constraint conditions: During period t, the supply and demand are balanced: 7) the user response is less than the renewable energy power generation: 8) Wherein P e,i refers to the total power generation of the edge server; Refers to the amount of electricity sold by the micro-grid operator to the user, and P s,g refers to the amount of electricity sold by the micro-grid operator to the grid.
Description
CPSS system based on cloud edge cooperative control, regulation and control method and application Technical Field The invention relates to the field of control systems and CPSS (compact disc side), in particular to a CPSS system based on cloud side cooperative control, a regulation and control method and application. Background The Social information physical fusion System (Cyber-physical-Social systems) is a complex System composed of a physical System (PHYSICAL SYSTEM), a Social System (Social System) including a person, and an information System (Cyber System) connecting the two systems. At present, an information physical fusion system (CPS) mainly takes engineering complexity as a main research object, has become one of hot spots of global research, and obtains good research results and application benefits in the application fields of complex systems such as traffic, national defense, energy, medical treatment, large-scale building facilities and the like. CPSS is a system that adds people and social factors of a complex system to the scope of their management and control based on CPS concepts. CPSS expands the research scope to social system, and it realizes the organic combination of personnel organization and physical system through intelligent human-computer interaction mode, is expected to realize the complete management and the control of all kinds of complex systems. In recent years, cloud computing technology featuring high reliability, easy expansion, resource sharing, and the like is being applied in more and more fields. The national grid company power regulation and control center planning builds a regulation and control cloud platform with uniform physical distribution and logic, and aims to realize flexible allocation of resources, efficient integration of services, convenient development of application and intelligent data utilization of the regulation and control cloud platform. However, in the process of regulating and controlling cloud construction, the types and the data volumes of accessed data are in explosive growth, and huge pressure is brought to cloud center data processing. In response to the dilemma faced by the cloud center, edge computing is proposed as a new computing paradigm and is gradually becoming an emerging computing model that adapts to the needs of the internet of things application. The edge equipment in the cloud edge cooperative computing model has computing and analyzing capabilities, and the computing is performed on the edge of the network, so that the occupation of network bandwidth and cloud center computing and storage resources can be effectively reduced while the whole computing capability is expanded. Therefore, more and more scientific researchers begin to research the application of cloud edge cooperative technology in the field of power grids. Before 2012, the automated institute of China academy of sciences groups research an ACP method, a theoretical framework of parallel control and management, overcome part of core technologies, and successfully apply and demonstrate in the fields of urban traffic and petrochemical production. In 2013, under the subsidization of national natural science foundation key projects and major research plans, military science projects, provincial science projects, enterprise projects and the like, national defense science and industry universities and other units continuously participate, and key research and development are performed on ACP methods suitable for modeling, experiment and decision of complex systems, wherein data, knowledge and decision are taken as important points respectively, manual system construction methods based on big data in complex systems such as CPSS (complex systems are researched, scene-coping knowledge base construction methods based on calculation experiments, and control and management methods based on parallel interaction of virtual and real systems. In the aspect of theoretical research, the concept, basic method and application of parallel control are perfected, the difference between a virtual-real interaction parallel expansion mode and a simultaneous calculation parallel division mode is emphasized, the parallel control is a specific application of an ACP method in the control field, and is a data-driven calculation control method, and the core of the method is modeling and representing by using a manual system, analyzing and evaluating by a calculation experiment, and finally realizing control and management of a complex system by means of parallel execution. At present, the CPSS system faces huge cloud computing pressure in the process of energy management, and the problems of real-time changeable user demands and low cooperative efficiency in a complex manufacturing environment are difficult to solve. Disclosure of Invention The invention provides a CPSS system and a regulation method based on cloud-edge cooperative control, which are characterized in that a cloud-edge end ar