Micro-energy management system and method convenient for resource scheduling
By adopting cloud-edge collaborative technology and decentralized decision-making mechanism in the micro-energy management system, the shortcomings of existing systems in intelligence and resource scheduling are solved, efficient energy management and on-site consumption are achieved, and the stability of the system is improved. Sex and robustness.
Patent Information
- Application Number
- CN202411497895.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-25
- Publication Date
- 2025-02-18
AI Technical Summary
The existing micro-energy management system has shortcomings in realizing intelligence, cloud-edge collaboration and distributed new energy in-place consumption, and it is difficult to effectively dispatch resources, resulting in unstable grid operation and waste of energy.
Using interoperable unified interface technology, edge intelligent perception technology, integrated control technology, communication technology and edge computing technology, combined with multi-level optimization management mechanism, networking characteristics and communication protocols, certification management mechanisms, and typical scenario selection and application in rural areas, to build The cloud-edge collaborative micro-energy management system realizes the system's independent collaboration and decentralized decision-making.
The intelligence level of micro-energy management system has been improved, the independent collaboration and robustness of the system have been enhanced, and the efficient management of energy and on-site consumption have been achieved, reducing the instability of power grid operation and energy waste.
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Figure CN119482381A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of micro energy management systems, and in particular to a micro energy management system and method for facilitating resource scheduling. Background Art
[0002] With the rapid development of new energy vehicle technology, and the government's vigorous promotion of new energy vehicles in rural areas, the demand for charging new energy vehicles in rural areas has increased, and the random impact load has brought severe pressure on the stable operation of rural distribution stations. At the same time, the promotion of new energy policies has gradually expanded the scale of distributed photovoltaic power generation in rural areas, and there is a lack of effective regulation and control measures. At present, there is a problem that photovoltaic power generation is difficult to consume locally, which may not only cause periodic overload of the power grid, but also cause instability of the power system, increase the loss of power equipment and the demand for maintenance costs, and cause waste of electricity and energy imbalance in the substation area. Substation micro-energy grid is a small A large-scale energy system is a micro-energy system established within a substation in the power distribution system. It aims to generate, store and distribute energy in a local area to meet local energy needs. This system usually integrates renewable energy, energy storage technology and smart grid management systems to achieve efficient management and maximum utilization of energy. The substation micro-energy network can be operated independently or connected to the main power grid to achieve two-way flow of energy. The substation micro-energy network has significant advantages in solving the problem of rural power grid balance. By introducing distributed photovoltaic and energy storage technologies, it can flexibly adjust the supply and demand balance of local electricity to meet the agricultural and domestic electricity needs in rural areas.
[0003] However, it still has some shortcomings, such as: 1. How to realize micro-energy network state perception, data analysis and prediction technology at the edge, and analyze and predict the perception data of edge devices in real time, so as to improve the accuracy and response speed of energy regulation and make the micro-energy network more intelligent; 2. How to build a cloud-edge collaborative micro-energy network architecture based on edge computing devices, which can automatically adjust the system topology according to the real-time energy production and demand situation so that the entire system can automatically adjust and coordinate each component without the need for central control, and distribute the control of the system to each node or component to avoid single point failure; 3. How to formulate a strategy to promote the local consumption of distributed new energy, and how to control the coordinated operation of multiple types of systems on the distribution network side, load side, and energy storage side in the rural micro-energy network system to meet the needs of multiple types of rural micro-energy network systems to support electric vehicle charging and local consumption of distributed new energy.
[0004] To solve the above problems, the present application proposes a micro energy management system and method for facilitating resource scheduling. Summary of the invention
[0005] The purpose of the present invention is to provide a micro-energy management system and method that is convenient for scheduling resources, so as to solve the problems in the prior art proposed in the above background technology, such as how to make the micro-energy network more intelligent, how to build a cloud-edge collaborative micro-energy network architecture based on edge computing devices, how to formulate strategies to promote the local consumption of distributed new energy according to real-time energy production and demand conditions, and how to control the coordinated operation of multiple types of systems on the distribution network side, load side, and energy storage side in the rural micro-energy network system to meet the needs of multiple types of rural micro-energy network systems to support electric vehicle charging and local consumption of distributed new energy.
[0006] To achieve the above-mentioned objectives, the present invention provides the following technical solutions: a micro-energy management system and method that is convenient for scheduling resources, wherein the electric vehicle is electrically connected to the charging and discharging pile, the charging and discharging pile is electrically connected to the substation, the substation is electrically connected to the power grid, and the power grid is electrically connected to the thermal power plant and the wind power plant. The micro-energy management solution includes interoperable unified interface technology, edge intelligent perception technology, integrated control technology, communication technology and edge computing technology, safety protection technology, multi-level optimization management mechanism, networking characteristics and communication protocols, authentication management mechanism and selection and application of typical scenarios in rural areas.
[0007] Preferably, all interoperability, communication protocols, and data format interfaces are consistent, and real-time data transmission and interoperability methods between the cloud and edge devices are used to quickly transmit data.
[0008] Preferably, the edge intelligent sensing technology has a micro-energy network intelligent control module with intelligent sensing capabilities, including sensors, actuators, and data processing and decision-making modules.
[0009] Preferably, the integrated control technology has a set of integrated control algorithms for the integration of source, grid, load, storage and charging, which realizes the effective dispatch and optimization control of electricity by integrating renewable energy sources such as wind and light, energy storage systems and charging equipment, and realizes the integration of integrated control algorithms and micro-energy network intelligent control terminals, so as to realize the monitoring, control and real-time adjustment of integrated control by the terminals.
[0010] Preferably, the communication technology and edge computing technology study the communication technology and edge computing technology, conduct communication technology research, and select efficient communication solutions suitable for multi-level integrated access principle prototypes, such as 5G, Internet of Things communication protocols, etc.
[0011] Preferably, the security protection technology studies and implements the security protection technology of the prototype, including data privacy protection, firewall settings, intrusion detection, etc., and establishes a security assessment model to conduct a comprehensive risk assessment of the system and research on countermeasures.
[0012] Preferably, the multi-level optimization management mechanism optimizes the collaborative work between the various levels of the multi-level integrated access principle prototype through reasonable resource allocation and task scheduling, and the intelligent management system is designed to achieve automatic adjustment and optimization.
[0013] Preferably, the source-grid-load-storage-charging networking characteristics and communication protocols are studied by analyzing the characteristics of large-scale distributed power source access and electric vehicles going to the countryside, and the networking characteristics of each link such as source, grid, load, storage and charging are studied, and the communication protocol suitable for the scenario is selected, taking into account communication efficiency, security and applicability.
[0014] Preferably, the authentication management mechanism ensures the secure access of the hierarchical integrated access principle prototype and the legitimacy and security of each node in the electric vehicle going to the countryside scenario by researching and designing the authentication management mechanism, and formulates authentication strategies, including identity authentication, data integrity verification, etc.
[0015] Preferably, the selection and application of typical application scenarios in rural areas are carried out by selecting Jiulong District of Benxi County as a pilot for demonstration application. According to the natural resources, electricity load and other conditions of the pilot, an implementation plan is formulated, including the installation of hardware equipment, system debugging and operation monitoring, pilot application effect monitoring and data analysis, building a multi-level integrated access principle prototype in the pilot area, and conducting pilot applications. The effects of the pilot applications are monitored in real time, and data are collected, including indicators such as energy utilization efficiency, system stability, and user satisfaction.
[0016] Compared with the prior art, the present invention has the following beneficial effects:
[0017] The present invention sets up communication and self-organizing algorithms and protocols between edge computing devices for cloud-edge collaboration. These algorithms and protocols should enable nodes to collaborate autonomously according to real-time energy conditions and demand conditions and adjust the network topology. Common self-organizing algorithms include genetic algorithms, ant colony algorithms, fuzzy logic, etc., to achieve real-time perception of energy production and demand by nodes. Nodes should be able to monitor their own energy generation and understand the energy conditions of surrounding nodes at the same time. This can be achieved through sensor measurement, energy metering and communication. A decentralized decision-making mechanism is implemented on each node, enabling it to make local decisions based on real-time information, including energy management, communication decisions, topology adjustment and other aspects. Decentralized decision-making helps reduce dependence on central control and improve the robustness of the system.
[0018] The present invention determines the controllable characteristics of energy of various types of rural micro-energy grid systems by analyzing various forms of energy flows such as new energy, energy storage, and adjustable loads input and output by different systems. Based on the controllable characteristics, the energy supply and consumption of various energy sources and loads are analyzed, and each energy supply and consumption curve is quickly analyzed and calculated. An equivalent model of a multi-type rural micro-energy grid system is built based on the idea of coherent equivalence. Based on the construction of equivalent models of various systems, the energy interaction relationship between various systems and distribution networks is studied, and a collaborative control model of a multi-type rural micro-energy grid system is built. The operating status data of the rural distribution network is screened and read, and a joint operation response mechanism of the collaborative control of the grid, load, and storage is studied and determined. In view of the existing problems existing in the area of multi-type rural micro-energy grid systems, specific feasible solutions such as regulating the output of controllable power sources in the substation and adjusting the controllable loads in the substation are studied. With the maximization of local consumption of new energy and the guarantee of normal energy consumption of rural residents as the main optimization goals, a strategy for promoting local consumption of distributed new energy by collaborative control of the grid, load, and storage is formulated.
[0019] The present invention studies the cloud-edge interoperability unified interface technology within the distribution area of the rural micro-energy network, designs and develops a set of standard cloud-edge interoperability interfaces, including communication protocols, data formats and interface specifications, explores real-time data transmission and interoperability methods between cloud and edge devices, uses machine learning and deep learning algorithms to perform real-time analysis and prediction of the perceived data of edge devices, performs preliminary data processing on edge devices, reduces dependence on central servers, improves response speed, and ensures efficient and accurate data transmission. It studies integrated control technology for the integration of source, grid, load, storage and charging, develops a set of integrated control algorithms for the integration of source, grid, load, storage and charging, integrates renewable energy such as wind and light, energy storage systems and charging equipment, realizes effective dispatch and optimization control of electricity, designs and implements the integration of integrated control algorithms and micro-energy network intelligent control terminals, realizes terminal monitoring, control and real-time adjustment of integrated control, designs an integrated control device that integrates perception, analysis and prediction functions, can respond to state changes of the micro-energy network in real time, and perform intelligent energy regulation. BRIEF DESCRIPTION OF THE DRAWINGS
[0020] Figure 1 A schematic diagram of the structure of a micro-energy management system and method for facilitating resource scheduling according to the present invention;
[0021] Figure 2 A structural diagram of a micro-energy network control for source-grid-load-storage-charging integration in a micro-energy management system and method for facilitating resource scheduling according to the present invention;
[0022] Figure 3 It is a schematic diagram of a research on a prototype of a highly efficient and economical multi-level integrated access principle in a micro-energy management system and method for facilitating resource scheduling in the present invention;
[0023] Figure 4It is a schematic diagram of a typical demonstration application study based on an integrated access prototype in a micro-energy management system and method for facilitating resource scheduling of the present invention;
[0024] Figure 5 A schematic diagram of materials, specifications and models of a communication module and a terminal module in a micro-energy management system and method for facilitating resource scheduling according to the present invention;
[0025] Figure 6 A schematic diagram of materials, specifications and models of a collection module in a micro-energy management system and method for facilitating resource scheduling according to the present invention;
[0026] Figure 7 It is a schematic diagram of materials, specifications and models of distributed sensor modules and other modules in a micro-energy management system and method for facilitating resource scheduling of the present invention. DETAILED DESCRIPTION
[0027] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.
[0028] See also Figure 1-Figure 2 The present invention provides a technical solution: a micro-energy management system and method for facilitating resource scheduling, including electric vehicles, electrical connections between electric vehicles and charging and discharging piles, electrical connections between charging and discharging piles and substations, electrical connections between substations and power grids, and electrical connections between power grids and thermal power plants and wind power plants. The micro-energy management solution includes interoperable unified interface technology, edge intelligent perception technology, integrated control technology, communication technology and edge computing technology, safety protection technology, multi-level optimization management mechanism, networking characteristics and communication protocols, authentication management mechanism, and selection and application of typical scenarios in rural areas.
[0029] In this embodiment, Figure 2 As shown, all interoperability, communication protocols, data format interfaces, are consistent, and real-time data transmission and interoperability methods between cloud and edge devices are used to quickly transmit data to ensure efficient and accurate data transmission. Edge intelligent perception technology has a micro-energy network intelligent control module with intelligent perception capabilities, including sensors, actuators, and data processing and decision-making modules. The integrated control technology has a set of integrated control algorithms for source-grid-load-storage-charging integration. By integrating renewable energy sources such as wind and light, energy storage systems, and charging equipment, it can achieve effective scheduling and optimal control of electricity, and realize the integration of integrated control algorithms with micro-energy network intelligent control terminals, so as to realize terminal monitoring, control, and real-time adjustment of integrated control.
[0030] In this embodiment, Figure 3As shown, communication technology and edge computing technology conduct communication technology research by studying communication technology and edge computing technology, select efficient communication solutions suitable for multi-level integrated access principle prototypes, such as 5G, Internet of Things communication protocols, etc., and study edge computing technology to explore how to make full use of edge computing in the multi-level integrated access principle to improve data processing speed and reduce latency. Security protection technology studies and implements the security protection technology of the prototype, including data privacy protection, firewall settings, intrusion detection, etc., and establishes a security assessment model to conduct a comprehensive risk assessment and response measures for the system. The multi-level optimization management mechanism optimizes the collaborative work between the various levels of the multi-level integrated access principle prototype through reasonable resource allocation and task scheduling, and designs an intelligent management system to achieve automatic adjustment and optimization, thereby improving the efficiency and performance of the entire system.
[0031] In this embodiment, Figure 4 As shown in the figure, the networking characteristics and communication protocols of source-grid-load-storage-charging are studied by analyzing the characteristics of large-scale distributed power access and electric vehicles going to the countryside, studying the networking characteristics of each link such as source, grid, load, storage and charging, and selecting the communication protocol suitable for the scenario, considering the communication efficiency, security and applicability, ensuring that the system can operate stably and reliably, authentication management mechanism, through the research and design of authentication management mechanism, ensuring the safe access of the hierarchical integrated access principle prototype and the legitimacy and security of each node in the electric vehicle going to the countryside scenario, formulating authentication strategies, including identity authentication, data integrity verification, etc., to ensure that each component in the system is credible, selection and application of typical application scenarios in rural areas, by selecting Jiulong District of Benxi County as a pilot to carry out demonstration application, according to the natural resources, power load and other conditions of the pilot, formulating an implementation plan, including the installation of hardware equipment, system debugging and operation monitoring, conducting pilot application effect monitoring and data analysis, building a multi-level integrated access principle prototype in the pilot area, and conducting pilot application, monitoring the effect of the pilot application in real time, collecting data, including indicators such as energy utilization efficiency, system stability, and user satisfaction, analyzing pilot data, summarizing lessons learned, and providing reference for subsequent promotion and application.
[0032] Working principle:
[0033] A micro-energy management system and method that facilitates resource scheduling. First, by setting up a study on the cloud-edge interoperability unified interface technology within the distribution area of the rural micro-energy network, a set of standard cloud-edge interoperability interfaces are designed and developed, including communication protocols, data formats and interface specifications, and real-time data transmission and interoperability methods between cloud and edge devices are explored. Machine learning and deep learning algorithms are used to perform real-time analysis and prediction of the perceived data of edge devices, and preliminary data processing is performed on edge devices to reduce dependence on central servers, improve response speed, and ensure efficient and accurate data transmission. Integrated control technology for source-grid-load-storage-charging integration is studied, and a set of integrated control technology for source-grid-load-storage-charging integration is developed. Control algorithm, by integrating renewable energy sources such as wind and light, energy storage systems and charging equipment, to achieve effective dispatch and optimal control of electricity, design and implement the integration of integrated control algorithms and micro-energy network intelligent control terminals, realize the monitoring, control and real-time adjustment of integrated control by terminals, design an integrated control device, integrate perception, analysis and prediction functions, be able to respond to the state changes of micro-energy networks in real time, and perform intelligent energy regulation, through the design of cloud-edge collaborative edge computing devices and self-organizing algorithms and protocols, these algorithms and protocols should enable nodes to autonomously collaborate according to real-time energy conditions and demand conditions, and adjust the network topology. Common self-organizing algorithms include genetic algorithms, ant colony algorithms, fuzzy logic, etc. , realize the real-time perception of energy production and demand by nodes. Nodes should be able to monitor their own energy generation and understand the energy status of surrounding nodes at the same time. This can be achieved through sensor measurement, energy metering and communication. A decentralized decision-making mechanism is implemented on each node, enabling it to make local decisions based on real-time information, including energy management, communication decisions, topology adjustment and other aspects. Decentralized decision-making helps to reduce dependence on central control and improve the robustness of the system. By analyzing the various forms of energy flow such as new energy, energy storage, and adjustable loads input and output by different systems, the adjustable characteristics of energy of various types of rural micro-energy grid systems are determined. Based on the adjustable characteristics, the energy supply and use of various energy sources and loads are analyzed, and the supply and demand of each supply are optimized. The energy consumption curve is quickly analyzed and calculated, and an equivalent model of various types of rural micro-energy grid systems is built based on the idea of homogeneous equivalence. Based on the construction of equivalent models of various systems, the energy interaction relationship between various systems and distribution networks is studied, and a collaborative control model of various types of rural micro-energy grid systems is built. The operating status data of the rural distribution network is screened and read, and the joint operation response mechanism of the grid-load-storage collaborative control is determined. In response to the existing problems in the regions of various types of rural micro-energy grid systems, specific and feasible solutions such as regulating the output of controllable power sources in the substation and adjusting the controllable loads in the substation are studied. With the maximization of local consumption of new energy and the guarantee of normal energy consumption of rural residents as the main optimization goals, a strategy for promoting local consumption of distributed new energy through grid-load-storage collaborative control is formulated.
[0034] Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in the field without making any creative work shall fall within the scope of protection of the present invention.
Claims
1. A micro-energy management system and method for facilitating resource scheduling, including an electric vehicle, characterized in that: The electric vehicle is electrically connected to the charging and discharging pile, the charging and discharging pile is electrically connected to the substation, the substation is electrically connected to the power grid, the power grid is electrically connected to the thermal power plant and the wind power plant. The micro energy management solution includes interoperable unified interface technology, edge intelligent perception technology, integrated control technology, communication technology and edge computing technology, safety protection technology, multi-level optimization management mechanism, networking characteristics and communication protocols, authentication management mechanism and selection and application of typical scenarios in rural areas.
2. A micro-energy management system and method for facilitating resource scheduling according to claim 1, characterized in that: All of the interoperability, communication protocols, and data format interfaces are consistent, and data is quickly transmitted through real-time data transmission and interoperability methods between the cloud and edge devices.
3. A micro-energy management system and method for facilitating resource scheduling according to claim 1, characterized in that: The edge intelligent sensing technology has a micro-energy network intelligent control module with intelligent sensing capabilities, including sensors, actuators, and data processing and decision-making modules.
4. A micro-energy management system and method for facilitating resource scheduling according to claim 1, characterized in that: The integrated control technology has a set of integrated control algorithms for the integration of source, grid, load, storage and charging. By integrating renewable energy sources such as wind and light, energy storage systems and charging equipment, it can achieve effective scheduling and optimal control of electricity, and integrate the integrated control algorithm with the micro-energy network intelligent control terminal to enable the terminal to monitor, control and adjust the integrated control in real time.
5. A micro-energy management system and method for facilitating resource scheduling according to claim 1, characterized in that: The communication technology and edge computing technology study the communication technology and edge computing technology, conduct communication technology research, and select efficient communication solutions suitable for multi-level integrated access principle prototypes, such as 5G and Internet of Things communication protocols.
6. A micro-energy management system and method for facilitating resource scheduling according to claim 1, characterized in that: The security protection technology studies and implements the security protection technology of the prototype, including data privacy protection, firewall settings, intrusion detection, etc., and establishes a security assessment model to conduct a comprehensive risk assessment of the system and research on countermeasures.
7. A micro-energy management system and method for facilitating resource scheduling according to claim 1, characterized in that: The multi-level optimization management mechanism optimizes the collaborative work between the various levels of the multi-level integrated access principle prototype through reasonable resource allocation and task scheduling, and the intelligently designed management system realizes automatic adjustment and optimization.
8. The micro energy management system and method for facilitating resource scheduling according to claim 1, characterized in that: The source-grid-load-storage-charging networking characteristics and communication protocols analyze the characteristics of large-scale distributed power source access and electric vehicles going to the countryside, study the networking characteristics of each link such as source, grid, load, storage, and charging, and select the communication protocol suitable for the scenario, considering communication efficiency, security and applicability.
9. A micro-energy management system and method for facilitating resource scheduling according to claim 1, characterized in that: The authentication management mechanism, through research and design of the authentication management mechanism, ensures the secure access of the hierarchical integrated access principle prototype and the legitimacy and security of each node in the electric vehicle going to the countryside scenario, and formulates authentication strategies, including identity authentication, data integrity verification, etc.
10. A micro energy management system and method for facilitating resource scheduling according to claim 1, characterized in that: The selection and application of typical application scenarios in rural areas are carried out by selecting Jiulong District of Benxi County as a pilot for demonstration application. According to the natural resources, electricity load and other conditions of the pilot, an implementation plan is formulated, including the installation of hardware equipment, system debugging and operation monitoring, pilot application effect monitoring and data analysis, and a multi-level integrated access principle prototype is built in the pilot area, and a pilot application is carried out. The effect of the pilot application is monitored in real time, and data is collected, including indicators such as energy utilization efficiency, system stability, and user satisfaction.
Citation Information
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