CN113595238B - Intelligent power distribution cabinet and distribution box low-carbon polymerization regulation and control system, method and terminal device - Google Patents

Intelligent power distribution cabinet and distribution box low-carbon polymerization regulation and control system, method and terminal device Download PDF

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CN113595238B
CN113595238B CN202110621804.3A CN202110621804A CN113595238B CN 113595238 B CN113595238 B CN 113595238B CN 202110621804 A CN202110621804 A CN 202110621804A CN 113595238 B CN113595238 B CN 113595238B
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power
power distribution
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CN113595238A (en
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马瑞
高伟乘
张霄
颜宏文
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Changsha University of Science and Technology
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Changsha University of Science and Technology
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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
    • H02J13/00001—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 display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
    • 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
    • H02J13/00002—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 monitoring
    • 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
    • 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

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Human Computer Interaction (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)

Abstract

The invention discloses a low-carbon aggregation regulation and control system, method and terminal device for an intelligent power distribution cabinet and a distribution box, which are used for analyzing the operation characteristics of all resources in a regional energy system and forming an optimized management control function suitable for the intelligent power distribution cabinet and the distribution box. The system comprises modules such as non-invasive load identification, low-carbon polymerization regulation and control, new energy power transmission, equipment facility intelligent control, data center station and the like. The invention can accurately identify the load information by a non-invasive identification technology, and can reduce the use of a large number of sensors. The method comprises the steps of constructing a regional multi-resource collaborative optimization model by taking economy and environmental protection as target conditions, and then carrying out online solution based on a predictive control model to realize low-carbon energy-saving utilization of energy. And by utilizing the internet technology, the power distribution cabinet and the power distribution box are hierarchically interacted with the upper-layer power distribution center and the edge server, the energy conservation and carbon reduction of a regional system are promoted, and a brand-new energy conservation and carbon reduction optimization management function is provided for the power distribution cabinet and the power distribution box.

Description

Intelligent power distribution cabinet and distribution box low-carbon polymerization regulation and control system, method and terminal device
Technical Field
The invention relates to energy Internet, in particular to a low-carbon polymerization regulation and control system, method and terminal device for an intelligent power distribution cabinet and a power distribution box, and belongs to the technical field of energy intelligent management control.
Background
Energy is one of important powers for promoting social development and progress, and with the increasing total energy consumption, the environmental problem is increasingly serious, and the problem of energy shortage is increasingly prominent, so that the energy-saving and emission-reducing energy-saving device becomes a global problem. In the beginning of the fourteen-five opening years, the State administration issues guidance opinions on accelerating the establishment of a healthy green low-carbon cycle development economic system and a series of measures, aims to achieve carbon dioxide emission peak reaching in China 2030 and carbon neutralization 2060, and is a key measure for achieving energy conservation and emission reduction in China.
With the continuous development of social economy, the regional power load is continuously increased, equipment is developed towards a large-capacity and large-current direction, the energy consumption is continuously increased, and the stability of a power grid is continuously impacted. In the process of optimizing and controlling the equipment, the intelligent power grid plays an important role. In the development process of recent years, the computer technology, the information collection technology, the sensor technology, the mobile communication technology and the like in China are rapidly pushed forward, and the speed of the construction and development of the smart power grid in China is promoted. In the intelligent arrangement process of the intelligent power grid, the intelligent power distribution cabinet and the power distribution box are one of very important links. The intelligent power distribution cabinet and the power distribution box can comprehensively improve the power supply working quality of the intelligent power grid in normal power supply work, and meanwhile, the good protection effect is achieved on the whole power supply work safety of the distribution network. The intelligent power distribution cabinet and the power distribution box have the advantages that the used equipment has high intelligent control performance, intelligent operation of the power distribution cabinet and the power distribution box is comprehensively improved, the intelligent control effect of the power distribution cabinet and the power distribution box is fully exerted, real-time exchange and transmission of power supply and distribution data parameters are guaranteed, energy consumption of the equipment is reduced, and energy utilization rate is improved.
Currently, researchers are working on research on multifunctional power distribution cabinets and distribution cabinets, wherein a patent document with a research bulletin number of CN112701587A discloses a power distribution cabinet with a temperature monitoring function, but specific regulation and control measures are not made on the power distribution cabinet according to collected temperature information; although patent document with publication number CN112736677A has the function of controlling fan power heat dissipation for temperature rise, there are no various terminals connected with the power distribution cabinet, and it is difficult to satisfy the new requirement of intelligent management interaction. Therefore, under the large background of energy conservation and emission reduction and smart power grids, it is necessary to research the smart power distribution cabinet and the power distribution box with the intelligent control and optimization functions.
In order to solve the problems, the invention provides a low-carbon polymerization regulation and control system, method and terminal device for an intelligent power distribution cabinet and a power distribution box. On the basis of the traditional intelligent power distribution cabinet and distribution box, by constructing and fusing a non-invasive load identification module, various types of load information and power consumption of the load information are accurately identified through analyzing regional power data, so that the use of a large number of sensors can be reduced, and the intelligent power distribution cabinet and distribution box have the characteristics of safety and high efficiency; by constructing a low-carbon aggregation regulation and control module, on the premise of preferentially consuming distribution network distributed energy, the low-carbon and high-efficiency cooperation of regional distributed electric energy and flexible load is promoted, an optimal power transmission plan and a load optimal energy efficiency report are generated, the efficient and energy-saving use of equipment is promoted, and the energy utilization efficiency is improved; the intelligent control module of the equipment facilities is fused for the intelligent integrated control of public power utilization facilities of the distribution network, such as lighting equipment, a central air conditioner, a central hot water system and an intelligent socket, so that the energy conservation and carbon reduction of a regional system are promoted.
Disclosure of Invention
In order to solve the technical problems, the invention provides a low-carbon polymerization regulation and control system, method and terminal device for an intelligent power distribution cabinet and a power distribution box, aiming at the defects of the prior art.
In order to achieve the technical purpose and achieve the technical effect, the invention is realized by the following technical scheme:
a low-carbon polymerization regulation and control system, a low-carbon polymerization regulation and control method and a terminal device for an intelligent power distribution cabinet and a distribution box are disclosed, which are based on the optimization management control function of the intelligent power distribution cabinet and the distribution box, and are used for constructing the low-carbon polymerization regulation and control method capable of being integrated in the intelligent power distribution cabinet and the distribution box by considering the operation characteristics of various distributed power generation devices, electric vehicle charging piles, energy storage devices, adjustable flexible loads and the like in a regional scene.
The utility model provides an intelligent power distribution cabinet and block terminal low carbon polymerization regulation and control system includes: the system comprises a data acquisition module, a data storage module, a non-invasive load identification module, a multi-dimensional feature extraction module, an artificial intelligence classification aggregation module, an intelligent index prediction module, a low-carbon aggregation regulation and control module, a new energy power transfer module, an equipment facility intelligent control module, a data center module and a communication module. The specific functions are as follows:
the data acquisition module is used for carrying out data sensing and transmission on the building multifunctional intelligent electric meters and the intelligent sockets on each layer through an Ethernet TCP/IP communication protocol and a regional temperature sensor, a brightness sensor, a distributed energy monitoring terminal and an energy storage system monitoring terminal, and is used for acquiring regional distributed power generation systems, charging piles, energy storage and load electric power data and acquiring regional scene temperature and brightness environment data.
And the data storage module is used for storing the regional power data and the environmental data and generating a historical data query library.
The non-invasive load identification module is used for processing the original power data of the area, accurately identifying various types of load information and power consumption of the load information, reducing the use of a large number of sensors, and being safe and efficient.
And the multi-dimensional feature extraction module is used for mining the multi-dimensional features of the regional power data and extracting the active power, the running state and the adjustable value of various regional power supplies and loads in multiple periods.
And the artificial intelligence classification and aggregation module is used for realizing the classification and aggregation of the similar characteristics of the regional multi-class power supply and the load by utilizing an artificial intelligence algorithm and comprehensively evaluating the processed data.
The intelligent index prediction module is used for accurately predicting output information data, energy storage state information, charging pile state information, user energy consumption rules, flexible load period information, weather information and energy price information of the distributed power supply in a future period of time in the region.
The low-carbon aggregation regulation and control module is used for promoting low-carbon and high-efficiency coordination of regional distributed electric energy and flexible loads on the premise of preferentially consuming regional distributed energy, obtaining an optimal power transmission plan, generating a regional optimal energy efficiency report based on predicted regional environment data, promoting efficient and energy-saving use of equipment and improving energy utilization efficiency.
And the new energy electric power reverse-transmission module is used for reversely transmitting the surplus new energy generated energy which is not completely consumed in the area to the upper-layer scheduling center so as to realize the bidirectional interaction between the area and the upper layer.
And the equipment facility intelligent control module is used for intelligently and integrally controlling regional electric equipment facilities, performing disaggregation analysis through the edge server based on the optimal energy efficiency report, decomposing and issuing a scheduling instruction to each resource, and intelligently controlling regional public facilities such as lighting equipment, a central air conditioner, a central hot water system and an intelligent socket.
And the data center module is used for realizing the convergence and integration of regional energy efficiency data, the visualization of data and the manifestation of data value.
And the communication module is used for information transmission among the modules, information interaction between the power distribution cabinet and the power distribution box system and between the power distribution dispatching center and the power distribution system and information interaction between the power distribution system and the customer mobile equipment.
A low-carbon polymerization regulation and control method for an intelligent power distribution cabinet and a power distribution box comprises the following steps:
step 1: acquiring power data and environmental data in an area through a data acquisition module, wherein the power data and the environmental data comprise a distributed power supply, a charging pile, energy storage, load power data, environmental temperature and brightness data;
step 2: the non-invasive load identification module is used for accurately identifying various types of load information and power consumption thereof, and the multi-dimensional feature extraction module and the classification and aggregation module are used for performing similar feature classification and aggregation on various types of power supplies and loads in the region;
and step 3: performing ultra-short term prediction on distributed power output information, user energy utilization rules, flexible load period information, weather information and energy price information based on classified and aggregated data information;
and 4, step 4: on the premise of preferential consumption of the distributed power supply, a regional source load storage cooperative optimization model is established, then, through a prediction control model, the real-time data information and the prediction information in the step 3 are obtained through a data acquisition module, the relevant parameters of the system are updated, online solution is carried out, and a control sequence is obtained through solution.
And 5: and repeating the steps at each sampling moment, transmitting the power transmission information to an upper-layer power distribution center and a new energy power transmission module through a communication module, generating an optimal energy efficiency report, and transmitting the optimal energy efficiency report to an equipment facility intelligent control module through the communication module.
Step 6: the optimal power transmission plan is sent to an upper power distribution center and a new energy power transmission module through a communication module, bidirectional interaction between a regional system and the upper power distribution center is promoted, an optimal energy efficiency report is transmitted to an edge server through the communication module, the edge server sends a decomposition instruction through depolymerization, and intelligent regulation and control are carried out on a regional intelligent light modulator, a central air-conditioning controller, a central hot water system intelligent controller and an intelligent socket.
Finally, various data and energy efficiency management information are transmitted to a data center station through a communication module, and data visualization is achieved through a power distribution cabinet and a power distribution cabinet door display unit.
The intelligent power distribution cabinet and distribution box low-carbon polymerization regulation and control terminal device comprises a processor and a storage module for storing programs, wherein the processor is configured to execute the intelligent power distribution cabinet and distribution box low-carbon polymerization regulation and control method.
The invention has the following beneficial effects: on the basis of the traditional intelligent power distribution cabinet and the traditional power distribution box, the non-invasive load identification module is fused, the analysis on the regional power data is carried out, various types of load information and power consumption of the load information are accurately identified, the use of a large number of sensors can be reduced, and the intelligent power distribution cabinet has the characteristics of safety and high efficiency; by constructing a low-carbon aggregation regulation and control module, on the premise of preferentially consuming distribution network distributed energy, the low-carbon and high-efficiency cooperation of regional distributed electric energy and flexible load is promoted, an optimal power transmission plan and a load optimal energy efficiency report are generated, the efficient and energy-saving use of equipment is promoted, and the energy utilization efficiency is improved; the intelligent control module of the integrated equipment facilities is used for intelligently and integrally controlling the public power facilities of the distribution network, such as lighting equipment, a central air conditioner, a central hot water system and an intelligent socket, so that the energy conservation and carbon reduction of the regional system are promoted.
Drawings
Fig. 1 is a structural block diagram of a low-carbon polymerization regulation and control system of an intelligent power distribution cabinet and a power distribution box.
Fig. 2 is a flow chart of a low-carbon polymerization regulation and control method for an intelligent power distribution cabinet and a power distribution box.
Detailed Description
The present invention will be described in further detail by the following specific embodiments, which are illustrative only and not limiting, and the scope of the present invention is not limited thereby. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
The embodiment is an intelligent power distribution cabinet and distribution box low-carbon aggregation regulation and control system, method and terminal device, and combines with fig. 1, and the system comprises a data acquisition module 101, a data storage module 102, a non-invasive load identification module 103, a multi-dimensional feature extraction module 104, an artificial intelligence classification aggregation module 105, an intelligent index prediction module 106, a low-carbon aggregation regulation and control module 107, a new energy power transfer module 108, an equipment facility intelligent control module 109 and a data center platform module 110.
Data acquisition module 101 through Ethernet RCP IP communication protocol, links to each other with multi-functional smart electric meter, smart jack, temperature sensor, luminance sensor, distributed energy monitor terminal, energy storage system monitor terminal for to regional distributed power generation system, fill electric pile, energy storage, load electric power data acquisition, and to regional scene temperature, luminance environmental data acquisition.
And the data storage module 102 is connected with the data acquisition module 101 through the ethernet, and is used for storing the distribution network power data and the regional scene environment data and generating a historical data query library.
The non-invasive load identification module 103 is connected with the data acquisition module 101 through the communication module, and is used for processing the regional original power data, accurately identifying various types of load information and power consumption thereof, reducing the use of a large number of sensors, and being safe and efficient.
And the multidimensional feature extraction module 104 is connected with the non-invasive load identification module 103 through a communication module and is used for mining multidimensional features of electric power data in the region and extracting active power, operating state and adjustable value of various electric power sources and loads in the region in multiple periods.
And the artificial intelligence classification and aggregation module 105 is connected with the multi-dimensional feature extraction module 104 through a communication module, is based on a k-means clustering analysis algorithm, and is used for realizing the classification and aggregation of similar features of regional multi-class power supplies and loads and comprehensively evaluating the processed data.
And the intelligent index prediction module 106 is connected with the classification and aggregation module 105 through a communication module and is used for accurately predicting the distributed power output information data, the user energy consumption rule, the flexible load time period information, the weather information and the energy price information of the region in a future period.
The low-carbon aggregation control module 107 is connected with the intelligent index prediction module 106 through the communication module, and is used for promoting low-carbon and efficient coordination of regional distributed electric energy and load on the premise of preferentially consuming regional distributed energy, obtaining an optimal power transmission plan, and generating a regional flexible load optimal energy efficiency report based on predicted regional environment data.
And the new energy electric power retransfer module 108 is connected with the low-carbon aggregation regulation and control module through the communication module, and is used for retransferring surplus new energy generated energy which is not completely consumed in the area to an upper-layer dispatching center according to an optimized optimal power transmission plan result so as to realize bidirectional interaction between the area and an upper layer.
The equipment facility intelligent control module 109 is connected with the low-carbon aggregation regulation and control module 107 through the communication module and used for intelligently and integrally controlling regional electric equipment facilities, transmitting the optimal energy efficiency report to the edge server through the communication module, and issuing a decomposition instruction through the edge server to perform energy-saving regulation on the building intelligent dimmer, the central air-conditioning intelligent controller, the central hot water system intelligent controller and the intelligent socket.
The data center station module 110 is connected with the low-carbon aggregation control module 107 through the communication module and used for achieving region energy efficiency data aggregation integration, data visualization and data value reappearance, the data center station module 110 is connected to the cabinet door display unit through the communication module, and visualization of a power distribution cabinet and a power distribution box low-carbon aggregation function is achieved through the cabinet door display unit.
As a specific implementation method, a low-carbon polymerization regulation and control method for an intelligent power distribution cabinet and a power distribution box mainly includes the following steps in combination with fig. 2:
step 1: the method comprises the steps that data collection is carried out on a multifunctional intelligent electric meter, an intelligent socket, a distributed energy monitoring terminal, an energy storage system monitoring terminal, a brightness sensor and a temperature sensor, main collected data comprise distributed power supply active power output information, charging pile output power information, energy storage system state information, load equipment power consumption information, environment temperature and brightness information, and the data information is transmitted to a memory;
step 2: aiming at the power consumption information of the load equipment, fitting a daily load curve according to sampling points, identifying various types of load information and power consumption thereof by using a non-invasive load identification method, extracting various types of data multidimensional characteristics based on a target area marking method, and performing similar characteristic classification and aggregation on regional mass data information based on a K-means artificial intelligence algorithm;
and step 3: performing ultra-short term prediction on distributed power output information, user energy utilization rules, flexible load period information, environment information and energy price information based on classified and aggregated data information;
and 4, step 4: considering economy and environmental protection as target conditions, a distributed energy, charging pile, energy storage and load collaborative optimization model is constructed, the model comprises the operation cost, energy consumption cost, electricity purchasing cost and carbon emission penalty cost of equipment, and the model is solved through parallel computation, a dual-quantum differential computation algorithm, Pareto optimal non-inferior ranking and a maximum satisfaction degree decision algorithm to obtain an optimal energy management day-ahead scheduling plan. And then based on the prediction control model, obtaining real-time data information and the prediction information in the step 3 according to the data acquisition module, updating relevant parameters of the system, carrying out online solving, and solving to obtain a control sequence.
And 5: and repeating the steps at each sampling moment to obtain an optimal real-time power transmission plan, sending the optimal power transmission plan to a new energy power transmission module through a communication module, generating an optimal energy efficiency report of the flexible load according to the optimal scheduling plan and the environmental parameters, and sending the optimal energy efficiency report to an intelligent control module of the equipment facility through the communication module.
Step 6: the optimal power transmission plan is sent to an upper power distribution center and a new energy power transmission module through a communication module, bidirectional interaction between a regional system and the upper power distribution center is promoted, an optimal energy efficiency report is transmitted to an edge server through the communication module, the edge server sends a decomposition instruction through depolymerization, energy-saving adjustment is carried out on an intelligent light modulator, a central air-conditioning intelligent controller, a central hot water system intelligent controller and an intelligent socket of a regional scene, and an intelligent energy utilization scheme aiming at energy conservation and carbon reduction is generated.
Finally, various data and energy efficiency management information are transmitted to a data center station through a communication module, and data visualization is achieved through a power distribution cabinet and a power distribution cabinet door display unit.
The embodiment of the disclosure also provides an intelligent power distribution cabinet and distribution box low-carbon polymerization regulation and control terminal device, which includes a processor and a storage module for storing a program, wherein the processor is configured to execute the intelligent power distribution cabinet and distribution box low-carbon polymerization regulation and control method described in any one of the above embodiments, and the storage module can store a computer program so that the processor can execute instructions.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.

Claims (4)

1. The utility model provides an intelligent power distribution cabinet and block terminal low carbon polymerization regulation and control system which characterized in that, the system includes:
the data acquisition module is used for acquiring data of a distributed power generation system, a charging pile, energy storage and load power in a region and acquiring data of the temperature and brightness of the environment in the region;
the data storage module is used for storing regional power data and environmental data and generating a historical data query library;
the non-invasive load identification module is used for processing the original power data collected in the area, fitting a daily load curve according to sampling points aiming at the power consumption information of the load equipment and identifying various types of load information and the power consumption thereof by using the non-invasive load identification module;
the multi-dimensional feature extraction module is used for mining the multi-dimensional features of the regional power data and extracting various power supplies and load active power, running states and adjustable values of regions in multiple periods of time based on a target region marking method;
the artificial intelligence classification and aggregation module is used for realizing the classification and aggregation of similar characteristics of regional multi-type power supplies and loads, performing similar characteristic classification and aggregation on regional mass data information and performing comprehensive evaluation on processed data based on a K-means artificial intelligence algorithm;
the intelligent index prediction module is used for carrying out ultra-short term prediction on distributed power output information, user energy utilization rules, flexible load period information, environment information and energy price information on the basis of classified and aggregated data information;
the low-carbon aggregation control module is used for constructing a distributed energy, charging pile, energy storage and load collaborative optimization model by considering economy and environmental protection as target conditions, wherein the model comprises the operation cost, energy consumption cost, electricity purchasing cost and carbon emission penalty cost of equipment, solving the model through parallel computation, a dual-quantum differential computation algorithm, Pareto optimal non-inferior ranking and a maximum satisfaction degree decision algorithm to obtain an optimal energy management day-ahead scheduling plan, then obtaining real-time data information and prediction information according to the data acquisition module based on a prediction control model, updating relevant parameters of a system, carrying out online solution, and solving to obtain a control sequence;
the new energy electric power retransfer module is used for retransferring the surplus new energy generated energy which is not completely consumed in the area to an upper-layer dispatching center;
the equipment facility intelligent control module is used for intelligently and integrally controlling regional electric equipment facilities;
the data center module is used for realizing the convergence and integration of regional energy efficiency data, the visualization of data and the reappearance of data value;
and the communication module is used for information transmission among the modules, information interaction between the power distribution cabinet and the power distribution box system and between the power distribution dispatching center and the power distribution system and information interaction between the power distribution system and the customer mobile equipment.
2. A low-carbon polymerization regulation and control method for an intelligent power distribution cabinet and a power distribution box is characterized by comprising the following steps:
step 1: carrying out data acquisition;
and 2, step: aiming at the power consumption information of the load equipment, fitting a daily load curve according to sampling points, identifying various types of load information and power consumption thereof by using a non-invasive load identification method, extracting various types of data multidimensional characteristics based on a target area marking method, and performing similar characteristic classification and aggregation on regional mass data information based on a K-means artificial intelligence algorithm;
and step 3: performing ultra-short term prediction on distributed power output information, user energy utilization rules, flexible load period information, environment information and energy price information based on classified and aggregated data information;
and 4, step 4: considering economy and environmental protection as target conditions, constructing a distributed energy, charging pile, energy storage and load collaborative optimization model, wherein the model comprises the operation cost, energy consumption cost, electricity purchasing cost and carbon emission penalty cost of equipment, solving the model through parallel computation, a dual-quantum differential computation algorithm, Pareto optimal non-inferior ranking and a maximum satisfaction degree decision algorithm to obtain an optimal energy management day-ahead scheduling plan, then obtaining real-time data information and the prediction information in the step 3 according to a data acquisition module based on a prediction control model, updating relevant parameters of the system, carrying out online solution, and solving to obtain a control sequence;
and 5: repeating the steps at each sampling moment to obtain an optimal real-time power transmission plan, sending the optimal power transmission plan to a new energy power transmission module through a communication module, generating an optimal energy efficiency report of a flexible load according to the optimal scheduling plan and environmental parameters, and sending the optimal energy efficiency report to an intelligent control module of equipment facilities through the communication module;
step 6: the optimal power transmission plan is sent to an upper power distribution center and a new energy power transmission module through a communication module, bidirectional interaction between a regional system and the upper power distribution center is promoted, an optimal energy efficiency report is transmitted to an edge server through the communication module, the edge server sends a decomposition instruction through depolymerization, energy-saving adjustment is carried out on an intelligent light modulator, a central air-conditioning intelligent controller, a central hot water system intelligent controller and an intelligent socket of a regional scene, and an intelligent energy utilization scheme aiming at energy conservation and carbon reduction is generated.
3. The low-carbon polymerization regulation and control method for the intelligent power distribution cabinet and the distribution box according to claim 2, characterized by comprising the following steps: the method comprises the following steps that 1, distribution network power data and environment data are obtained through a data acquisition module, and data sensing and transmission are carried out through an Ethernet TCP/IP communication protocol, a region temperature sensor, a brightness sensor, a distributed energy monitoring terminal and an energy storage system monitoring terminal, as well as a multifunctional intelligent electric meter and an intelligent socket of each layer of building.
4. An intelligent power distribution cabinet and distribution box low-carbon polymerization regulation and control terminal device, which is characterized in that the terminal device comprises a processor and a storage module for storing a program, wherein the processor is configured to implement the method of any one of claims 2 to 3.
CN202110621804.3A 2021-06-03 2021-06-03 Intelligent power distribution cabinet and distribution box low-carbon polymerization regulation and control system, method and terminal device Active CN113595238B (en)

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