CN113872323A - A cloud-side collaborative control system for microgrid based on edge intelligence - Google Patents
A cloud-side collaborative control system for microgrid based on edge intelligenceDownload PDFInfo
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- CN113872323A CN113872323ACN202111037148.9ACN202111037148ACN113872323ACN 113872323 ACN113872323 ACN 113872323ACN 202111037148 ACN202111037148 ACN 202111037148ACN 113872323 ACN113872323 ACN 113872323A
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- 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
- H02J13/00004—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 the power network being locally controlled
- 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
- H02J13/00022—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 using wireless data transmission
- 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
- H02J3/00—Circuit arrangements for AC mains or AC distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- 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
- H02J3/00—Circuit arrangements for AC mains or AC distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/48—Controlling the sharing of the in-phase component
- 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
- H02J3/00—Circuit arrangements for AC mains or AC distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/50—Controlling the sharing of the out-of-phase component
- 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
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
- 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
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
- 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
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/28—The renewable source being wind energy
- 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
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
- 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
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/76—Power conversion electric or electronic aspects
- 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
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
- 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
- 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
- Y02E70/00—Other energy conversion or management systems reducing GHG emissions
- Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin
- 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
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/12—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation
- Y04S10/123—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation the energy generation units being or involving renewable energy sources
- 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
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/14—Energy storage units
- 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
- Y04S40/126—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 using wireless data transmission
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Abstract
Translated fromChinese
Description
Technical Field
The invention relates to the field of power grid networking control, in particular to a micro-power grid cloud-side cooperative control system based on edge intelligence.
Background
With the continuous improvement of the permeability of renewable energy sources, the micro-grid system has a large and wide trend in construction time and regional space, the contradiction between intelligent centralized operation and maintenance and long-distance scattered geographic positions of a plurality of isolated micro-grids is prominent, the grid connection of a large number of micro-grids puts higher requirements on coordination control and unified scheduling, and meanwhile, the need of the evolution of a used prediction and optimization intelligent algorithm for massive multi-dimensional data is urgent. In the aspect of control system construction, an existing microgrid engineering project generally adopts a two-layer control structure of an in-situ unit layer and a monitoring layer, wherein the monitoring layer is a decision layer for monitoring control and safe and economic operation of the microgrid system, and a decision is made according to operation information uploaded by each unit of a stratum and is issued to a corresponding physical element of the stratum for execution, so that scheduling control of each power generation unit, energy storage unit and load unit in the microgrid is realized, and the problems of limited storage and calculation capacity, independent dispersion of each unit, incapability of sharing data, incapability of mining, analyzing and utilizing historical data and the like exist.
Disclosure of Invention
In order to solve the problems, the invention provides a microgrid cloud-side cooperative control system based on edge intelligence. The microgrid distributed controller collects microgrid operation state data through the distributed sensing units, uploads the data to the cloud layer for storage and microgrid coordination control strategy and energy scheduling strategy formulation, the microgrid distributed controller identifies and calls the coordination control strategy and the energy scheduling strategy formulated by the cloud layer and issues the strategy to the distributed sensing units for execution, connection and data sharing of each single microgrid on the cloud layer are achieved, and microgrid data storage calculation and historical data mining, analysis and utilization capacity are improved.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
a micro-grid distributed controller comprises an acquisition control container, a data storage container, a management container, a communication container and an artificial intelligence decision container; and the communication container is respectively connected with the acquisition control container, the data storage container, the management container and the artificial intelligence decision container so as to make a coordination control strategy and an energy scheduling strategy according to the operation state data of the microgrid.
Further, be equipped with wind-powered electricity generation collection control APP, photovoltaic collection control APP, energy storage collection control APP, load collection control APP and controllable little power collection control APP in the collection control container, have to little power grid running state data acquisition and calculation control function.
Furthermore, be equipped with data reading and writing APP, data unloading APP and data management APP in the data storage container, it is right to have the function that the little electric wire netting running state data that collection control container gathered carry out unified management.
Furthermore, a container state monitoring APP and a container management APP are arranged in the management container and are used for being responsible for management and deployment of the acquisition control container, the data storage container, the communication container and the artificial intelligence decision container.
Furthermore, an energy scheduling decision APP, a coordination control decision APP, a reactive power control decision APP and an energy storage APP are arranged in the artificial intelligent decision container, so that the online operation decision and the real-time response control of the micro-grid are realized.
Furthermore, a communication management APP is arranged in the communication container and used for achieving the function of information interaction among the containers.
A microgrid cloud-side cooperative control system based on edge intelligence comprises the microgrid distributed controller.
Furthermore, the micro-grid cloud-side cooperative control system based on the edge intelligence further comprises a cloud layer and a plurality of distributed sensing units; and the micro-grid distributed controller is respectively connected with the cloud layer and the distributed sensing unit.
Furthermore, an application container management module, a data resource management module and an artificial intelligence model are arranged in the cloud layer; the application container management module is connected with the management container to manage various containers; the data resource management module is connected with the data storage container to receive and manage the micro-grid operation state data; and the artificial intelligence model is connected with the artificial intelligence decision container to make and send a coordination control strategy and an energy scheduling strategy.
Furthermore, the distributed sensing unit comprises a wind power generation group, a distributed photovoltaic, a load unit, an energy storage unit and a controllable micro power supply, and has the functions of data acquisition, transmission and decision instruction execution of the wind power generation group, the distributed photovoltaic, the load unit, the energy storage unit and the controllable micro power supply.
The invention provides a micro-grid cloud-side cooperative control system based on edge intelligence. The micro-grid distributed controller collects the running state data of the micro-grid wind power generation group, the distributed photovoltaic, the load unit, the energy storage unit and the controllable micro-power source through the distributed sensing unit, uploads the running state data to the cloud layer for storage and micro-grid coordination control strategy and energy scheduling strategy formulation, identifies and calls the coordination control strategy and the energy scheduling strategy formulated by the cloud layer according to the running state data, and issues the coordination control strategy and the energy scheduling strategy to the distributed sensing unit for execution, so that connection and data sharing of each single micro-power grid on the cloud layer are realized, and the micro-grid data storage calculation and historical data mining, analysis and utilization capacity are improved.
Drawings
Fig. 1 is a schematic structural diagram of a microgrid cloud-side cooperative control system based on edge intelligence.
Detailed Description
The embodiments of the present disclosure are described in detail below with reference to the accompanying drawings.
The embodiments of the present disclosure are described below with specific examples, and other advantages and effects of the present disclosure will be readily apparent to those skilled in the art from the disclosure in the specification. It is to be understood that the described embodiments are merely illustrative of some, and not restrictive, of the embodiments of the disclosure. The disclosure may be embodied or carried out in various other specific embodiments, and various modifications and changes may be made in the details within the description without departing from the spirit of the disclosure. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
Example one
Fig. 1 is a schematic diagram of a composition structure of a microgrid cloud-side cooperative control system based on edge intelligence, where the system includes a plurality of distributed sensing units, a plurality of microgrid distributed controllers and a cloud layer, and the microgrid distributed controllers are located in an intermediate layer of the whole system and connected to the distributed sensing units and the cloud layer, respectively.
The distributed sensing unit comprises a wind power generation group, a distributed photovoltaic, a load unit, an energy storage unit, a controllable micro power supply and the like, is a local acquisition and transmission layer of operation data of each source/storage/load distributed unit of the micro grid, is also a decision instruction execution layer of the micro grid distributed controller, and is connected with the micro grid distributed controller through interfaces such as UART, USB, RJ11 and LCD.
The cloud layer is wirelessly connected with each micro-grid distributed controller through an MQTT communication protocol and is a micro-grid operation data collaborative sharing, deep mining and artificial intelligence model training layer; an application container management module, a data resource management module and an artificial intelligence model are arranged in the cloud layer; the application container management module is connected with a management container in the microgrid distributed controller to manage various application containers; the data resource management module is connected with a data storage container in the microgrid distributed controller so as to receive and manage various data which are uploaded by the data storage container and related to the operation state of the microgrid; the artificial intelligence model is used for formulating a micro-grid coordination control strategy and an energy scheduling strategy according to the running state data uploaded by the micro-grid distributed controller and issuing the micro-grid coordination control strategy and the energy scheduling strategy to the micro-grid distributed controller.
The microgrid distributed controller forms an edge layer for local acquisition and intelligent control of the microgrid, and a coordination control strategy and an energy scheduling strategy of the microgrid are established on line according to an artificial intelligence model of the cloud layer so as to meet the real-time requirement of the local control response speed of the microgrid. The microgrid distributed controller adopts a container architecture and comprises an acquisition control container, a data storage container, a management container (based on a Dockers container), a communication container and an artificial intelligence decision container, wherein the communication container is respectively connected with the acquisition control container, the data storage container, the management container (based on the Dockers container) and the artificial intelligence decision container.
In specific implementation, be equipped with wind-powered electricity generation acquisition control APP, photovoltaic acquisition control APP, energy storage acquisition control APP, load acquisition control APP and controllable little power supply acquisition control APP in the acquisition control container for accomplish and to distributing type perception unit operation data acquisition and calculation control function. The wind power acquisition control APP is used for completing acquisition of primary equipment operation data of the wind power generation group, completing autonomous control of an inverter of the power generation equipment, performing remote active power output limiting control through an inverter protocol, and analyzing an operation control decision instruction and issuing the operation control decision instruction to the wind power generation group for execution. The photovoltaic collection control APP is used for completing collection of operation data of distributed photovoltaic primary equipment, completing autonomous control of an inverter of the power generation equipment, performing remote active power output limiting control through an inverter protocol, analyzing an operation control decision instruction and issuing the operation control decision instruction to the distributed photovoltaic to be executed. The energy storage acquisition control APP is used for completing acquisition of primary equipment operation data of the energy storage unit, analyzing the operation control decision instruction and issuing the operation control decision instruction to the energy storage unit to execute. The load collection control APP is used for completing collection of primary equipment operation data of the load unit, analyzing the operation control decision instruction and issuing the operation control decision instruction to the load unit to be executed. The controllable micro power supply acquisition control APP is used for completing acquisition of operation data of the controllable micro power supply primary equipment, and meanwhile, the operation control decision instruction is analyzed and issued to the controllable micro power supply to be executed.
In specific implementation, the data storage container is responsible for uniformly managing the micro-grid operation state data acquired by the acquisition control container, and is connected with the data resource management module of the cloud layer to upload the micro-grid operation state data, so that the micro-grid operation state data are centralized and shared in the cloud layer; be equipped with data reading and writing APP, data unloading APP and data management APP etc. among the data storage container, wherein, data reading and writing APP is used for realizing real-time data reading and writing function, data unloading APP is used for generating historical data and keeps and the function of unloading, data management APP is used for realizing the function of the access agent of data, maintenance and management.
In specific implementation, the management container (based on the Dockers container) is responsible for deployment of each service container in the microgrid distributed controller, and comprises management of APP deployment and installation in each service container, and is connected with an application container management module in a cloud layer to sense application information of edge equipment in real time, so that the latest version of the application is quickly obtained, and functions of service cloud-side collaborative deployment, remote management and the like are realized; the management container comprises a container state monitoring APP and a container management APP, the container state monitoring APP is used for monitoring application information, version information and the like of each service container in the microgrid distributed controller, and the container management APP is used for managing deployment and installation of each service container and an internal APP in the microgrid distributed controller.
In specific implementation, the communication container comprises communication management APPs, and the communication container is mainly used as a message bus to realize the information interaction function among the containers and among the APPs through an MQTT protocol; the deployment principle comprises: the MQTT Broker (storing and forwarding messages) is deployed at a host, and an IP address of the Broker is configured at a client as an IP address of a virtual gateway; the eSDK is deployed on a host machine and used as an MQTT client to be connected with an MQTT Broker in the same container so as to provide a high-level application open interface for APP in the container; the APP is deployed in a container as an MQTT client communicating with the eSDK through an MQTT Broker.
In specific implementation, the artificial intelligence decision container is a high-level application part for providing edge intelligent services, integrally realizes the online operation control decision of the microgrid and meets the real-time requirement of the local control response speed of the microgrid. An energy scheduling decision APP, a coordination control decision APP, a reactive power control decision APP and an energy storage APP are arranged in the artificial intelligent decision container; the coordination control decision APP and the energy scheduling decision APP are respectively responsible for identifying the running state of the local microgrid on line and intelligently making a corresponding coordination control strategy and an energy scheduling strategy for controlling the microgrid according to the artificial intelligence model parameters and the decision identification parameters trained by the cloud layer; the reactive power control decision APP is used for calculating reactive power output of the energy storage inverter and the wind and light equipment according to the microgrid voltage and the branch load; the energy storage APP has the functions of self-diagnosis of the running state of the energy storage unit and self-setting of the working mode, and the setting of the energy storage working mode can be automatically completed through the proximity load and the current state of the energy storage unit.
The invention provides a micro-grid cloud-side cooperative control system based on edge intelligence. The micro-grid distributed controller collects the running state data of the micro-grid wind power generation group, the distributed photovoltaic, the load unit, the energy storage unit and the controllable micro-power source through the distributed sensing unit, uploads the running state data to the cloud layer for storage and micro-grid coordination control strategy and energy scheduling strategy formulation, identifies and calls the coordination control strategy and the energy scheduling strategy formulated by the cloud layer according to the running state data, and issues the coordination control strategy and the energy scheduling strategy to the distributed sensing unit for execution, so that connection and data sharing of each single micro-power grid on the cloud layer are realized, and the micro-grid data storage calculation and historical data mining, analysis and utilization capacity are improved.
In the present invention, unless otherwise expressly stated or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can, for example, be fixedly connected, detachably connected, or integrally formed; may be mechanically coupled, may be electrically coupled or may be in communication with each other; they may be directly connected or indirectly connected through intervening media, or they may be connected internally or in any other suitable relationship, unless expressly stated otherwise. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
The above description is for the purpose of illustrating embodiments of the invention and is not intended to limit the invention, and it will be apparent to those skilled in the art that any modification, equivalent replacement, or improvement made without departing from the spirit and principle of the invention shall fall within the protection scope of the invention.
Claims (10)
Translated fromChinesePriority Applications (1)
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115102953A (en)* | 2022-04-13 | 2022-09-23 | 北京智芯微电子科技有限公司 | Power distribution network cloud edge terminal cooperative control system and method |
| CN115586800A (en)* | 2022-12-09 | 2023-01-10 | 北京和利时系统工程有限公司 | Comprehensive energy management and control system |
| CN116264570A (en)* | 2022-10-28 | 2023-06-16 | 中移(苏州)软件技术有限公司 | Decentralized network forum communication method and system based on MQTT protocol |
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