Regional energy consumption characteristic perception analysis method and system based on historical data acquisition

Abstract

The invention discloses a regional energy consumption characteristic perception analysis method and system based on historical data acquisition, and the method comprises the steps: obtaining the historical data of a region, determining the components of each link of a source, a network, a load and a storage in each architecture and the connection modes of the components according to the resource characteristics and energy demands under different levels of view angles, and constructing a corresponding typical form architecture of a power distribution network; the method comprises the following steps of: establishing a cross-level longitudinal hierarchical collaboration mechanism and a transverse coupling and mutual aid mechanism between the same levels based on different levels of power distribution network typical form architectures; judging a currently selected level, if the currently selected level is the lowest level, displaying the typical form architecture of the power distribution network of the current level, and providing real-time data display of a transverse coupling and mutual aid mechanism of the current level; if the data is the highest level, providing longitudinal hierarchical collaborative real-time data display; otherwise, simultaneously providing real-time data display of a transverse coupling and mutual aid mechanism and longitudinal hierarchical collaboration. According to the invention, comprehensive perception, analysis and clear display of regional energy consumption characteristics are realized, and quality and efficiency are improved.

Description

Technical Field

[0001] The present invention relates to the field of data processing, and in particular to a method and system for perceiving and analyzing regional energy consumption characteristics based on historical data collection. Background Art

[0002] With the increasing complexity and intelligence of energy systems, accurate perception and analysis of regional energy consumption characteristics have become an important basis for improving energy utilization efficiency, optimizing energy structure, and promoting sustainable development. Traditional energy management methods often rely on single energy data monitoring and simple statistical analysis, which makes it difficult to fully and deeply reveal the dynamic characteristics and potential laws of regional energy use. Especially in the multi-level distribution network architecture, the interactions between the source (energy production), network (transmission and distribution), load (energy consumption), and storage (energy storage) are complex, and there is coordination between different levels and coupling and mutual assistance within the same level, which makes energy management face greater challenges.

[0003] In order to more effectively understand and manage regional energy consumption characteristics, a perception analysis method is needed that can comprehensively consider the multi-level distribution network structure, energy flow characteristics and real-time operating status. Most existing technologies focus on energy data analysis in a certain aspect or at a certain level, and lack comprehensive analysis methods across levels and links. For example, some methods may only focus on a specific level of the distribution network, such as the end of the transmission network or distribution network, while ignoring the hierarchy and correlation of the overall operation of the energy system; or only focus on a single aspect of energy production or consumption, and fail to fully reflect the interaction and dynamic balance between sources, networks, loads and storage.

[0004] In addition, since the relationship between resources and needs is often different in different regions and scenarios, it is usually difficult to achieve the expected results if a single architecture is used for analysis. Therefore, how to use different architectures to conduct comprehensive cross-level and cross-link analysis according to actual conditions to improve the accuracy of information processing is a technical problem that needs to be solved urgently. Summary of the invention

[0005] In view of the problems of single analysis architecture and low information processing accuracy in the prior art, the present invention provides a method and system for perceiving and analyzing regional energy consumption characteristics based on historical data collection. The method aims to realize comprehensive and in-depth perception and analysis of regional energy consumption characteristics and clearly display them by constructing a multi-level and multi-type typical form architecture of distribution networks and establishing a cross-level vertical hierarchical collaboration and a same-level horizontal coupling and mutual assistance mechanism, thereby improving the accuracy of information processing and providing a scientific basis and decision-making support for energy management.

[0006] The following is the technical solution of the present invention.

[0007] The regional energy consumption characteristics perception analysis method based on historical data collection includes the following steps: S1: Obtain historical data of the region, determine the components and connection methods of the source, network, load, and storage in each architecture based on the resource characteristics and energy demand at different levels, and build the corresponding typical form architecture of the distribution network; S2: Based on the typical morphological architecture of distribution networks at different levels, establish a cross-level vertical hierarchical coordination mechanism, as well as a horizontal coupling and mutual assistance mechanism between the same levels; S3: Determine the currently selected level. If it is the lowest level, the typical morphological architecture of the distribution network at the current level is displayed, and real-time data display of the horizontal coupling and mutual assistance mechanism at the current level is provided; if it is the highest level, real-time data display of vertical layered coordination is provided; otherwise, real-time data display of horizontal coupling and mutual assistance mechanism and vertical layered coordination is provided at the same time.

[0008] Preferably, S1: obtaining historical data of the region, determining the components of the source, network, load, and storage in each architecture and their connection methods according to the resource characteristics and energy requirements at different levels, and constructing the corresponding typical form architecture of the distribution network, including: Obtain historical data of the region and determine the elemental composition of the region based on the resource characteristics and energy requirements of the region; Different levels of regions are identified according to their elemental composition as one of the following schemas: Source-load collaborative interaction morphology architecture, source-grid-load collaborative interaction morphology architecture, source-load-storage collaborative interaction morphology architecture, source-grid-storage collaborative interaction morphology architecture, source-grid-load-storage collaborative interaction morphology architecture.

[0009] Preferably, the source-load collaborative interaction architecture is applicable to areas where energy and load are concentrated, including: On the source side, various large-capacity units or centralized power generation forms, including gas turbine units, gas boilers, heat pumps, thermal power, hydropower, wind power, nuclear power, and solar power generation; Load side, including natural gas load, heat load and electricity load that can be adjusted; Among them, the source side and the load side carry out coordinated interactive regulation.

[0010] Preferably, the source-grid-load collaborative interactive architecture is applicable to areas where centralized or distributed energy and loads exist simultaneously, including: On the source side, there are centralized or distributed energy forms including gas turbine units, gas boilers, heat pumps, thermal power, hydropower, wind power, nuclear power, and solar power generation; The grid side includes the transmission grid, natural gas grid and heat grid, which serve as channels for the transmission and distribution of energy; Load side, including natural gas load, heat load and electricity load that can be adjusted; Among them, the source side, load side and grid side are connected, and combined with the energy management system to achieve optimized scheduling of energy demand and supply over a large area.

[0011] As a preference, the source-load-storage synergistic interactive form architecture is applicable to areas where energy and load are misaligned, including: on the source side, centralized or distributed energy forms including gas turbine units, gas boilers, heat pumps, thermal power, hydropower, wind power, nuclear power, and solar power generation; Load side, including natural gas load, heat load and electricity load that can be adjusted; On the storage side, energy storage and dispatching equipment including energy storage batteries, hydrogen storage tanks, and compressed air energy storage equipment; Among them, the source side, load side and storage side are connected, and the storage side is used to reduce the contradiction between supply and demand of energy and load.

[0012] As a preferred embodiment, the source-grid-storage collaborative interactive form architecture is suitable for areas where energy is dispersed but demand is concentrated, including: on the source side, distributed energy forms including gas turbine units, gas boilers, heat pumps, thermal power, hydropower, wind power, nuclear power, and solar power generation; The grid side includes the transmission grid, natural gas grid and heat grid, which serve as channels for the transmission and distribution of energy; On the storage side, energy storage and dispatching equipment including energy storage batteries, hydrogen storage tanks, and compressed air energy storage equipment; Among them, the source side, storage side and grid side are connected, and the storage side and grid side are used to concentrate the dispersed energy to the location of load demand.

[0013] Preferably, the source-grid-load-storage collaborative interactive form architecture is suitable for areas where both energy and load are dispersed, including: on the source side, distributed energy forms including gas turbine units, gas boilers, heat pumps, thermal power, hydropower, wind power, nuclear power, and solar power generation; The grid side includes the transmission grid, natural gas grid and heat grid, which serve as channels for the transmission and distribution of energy; Load side, including natural gas load, heat load and electricity load that can be adjusted; On the storage side, energy storage and dispatching equipment including energy storage batteries, hydrogen storage tanks, and compressed air energy storage equipment; Among them, the source side and the load side transport and complement each other's energy through the grid side and the storage side.

[0014] Preferably, S2: based on the typical form architecture of distribution networks at different levels, a cross-level vertical hierarchical coordination mechanism and a horizontal coupling and mutual assistance mechanism between the same levels are established, including: In the cross-level vertical hierarchical coordination mechanism, when there is a dispatch demand for the typical form architecture of the distribution network at any level, the typical form architecture of the distribution network at the lower level is regarded as a single individual for unified calculation and processing; In the horizontal coupling and mutual assistance mechanism between the same levels, based on the energy complementarity analysis, a mutual assistance strategy between the same levels is formulated, and during energy scheduling and operation, output and load forecast information is shared in real time to carry out horizontal coupling and mutual assistance.

[0015] The present invention also provides a regional energy consumption characteristic perception and analysis system based on historical data collection. When the regional energy consumption characteristic perception and analysis system based on historical data collection is in operation, the above-mentioned regional energy consumption characteristic perception and analysis method based on historical data collection is executed.

[0016] The present invention also provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the processor calls the computer program in the memory, the steps of the above-mentioned method for perceiving and analyzing regional energy consumption characteristics based on historical data collection are implemented.

[0017] The present invention also provides a storage medium, in which computer executable instructions are stored. When the computer executable instructions are loaded and executed by a processor, the steps of the above-mentioned regional energy consumption characteristics perception and analysis method based on historical data collection are implemented.

[0018] The substantial effects of the present invention include: By finely dividing the regional energy system, a variety of collaborative interactive architectures are constructed according to the resource characteristics and energy needs at different levels, such as source-load, source-grid-load, source-load-storage, etc. These architectures can more accurately reflect the complexity and diversity of the actual energy system. At the same time, through the cross-level vertical hierarchical coordination mechanism, the present invention realizes the unified scheduling and optimization of energy systems at different levels, and improves the overall efficiency of the energy system. The horizontal coupling and mutual assistance mechanism between the same levels further promotes the complementarity and coordination within the energy system, and realizes the efficient configuration and utilization of energy by sharing information such as output and load forecast in real time. This mechanism not only helps to reduce energy costs and improve energy utilization, but also helps to improve the stability and reliability of the energy system.

[0019] Moreover, by judging the currently selected level, the energy consumption characteristics under the multi-level distribution network architecture are displayed in real time and visually, improving the accuracy and efficiency of information transmission. This dynamic and intuitive display method not only allows managers to quickly grasp the real-time status of the energy system, but also facilitates them to discover potential problems and explore optimization space. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 is a flow chart of an embodiment of the present invention. DETAILED DESCRIPTION

[0021] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution will be clearly and completely described below in combination with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] It should be understood that in various embodiments of the present invention, the size of the sequence number of each process does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0023] It should be understood that in the present invention, "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or apparatus comprising a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to these processes, methods, products or apparatuses.

[0024] It should be understood that in the present invention, "plurality" refers to two or more than two. "And / or" is merely a description of the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "Contains A, B and C", "Contains A, B, C" means that A, B, and C are all included, "Contains A, B or C" means that one of A, B, and C is included, and "Contains A, B and / or C" means that any one, any two, or any three of A, B, and C are included.

[0025] The technical solution of the present invention is described in detail with specific embodiments below. The embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.

[0026] Example: Regional energy consumption characteristics perception analysis methods based on historical data collection include: Figure 1 The following steps are shown: S1: Obtain historical data of the region, determine the components and connection methods of the source, network, load, and storage in each architecture based on the resource characteristics and energy demand at different levels, and build the corresponding typical form architecture of the distribution network.

[0027] S2: Based on the typical morphological architecture of distribution networks at different levels, establish a cross-level vertical hierarchical coordination mechanism, as well as a horizontal coupling and mutual assistance mechanism among the same levels.

[0028] S3: Determine the currently selected level. If it is the lowest level, the typical morphological architecture of the distribution network at the current level is displayed, and real-time data display of the horizontal coupling and mutual assistance mechanism at the current level is provided; if it is the highest level, real-time data display of vertical layered coordination is provided; otherwise, real-time data display of horizontal coupling and mutual assistance mechanism and vertical layered coordination is provided at the same time.

[0029] Among them, S1: obtains historical data of the region, determines the components of each link of source, network, load and storage in each architecture and their connection methods according to resource characteristics and energy demand at different levels, and constructs the corresponding typical form architecture of the distribution network, including: Obtain historical data of the region and determine the elemental composition of the region based on the resource characteristics and energy requirements of the region; Different levels of regions are identified according to their elemental composition as one of the following schemas: Source-load collaborative interaction morphology architecture, source-grid-load collaborative interaction morphology architecture, source-load-storage collaborative interaction morphology architecture, source-grid-storage collaborative interaction morphology architecture, source-grid-load-storage collaborative interaction morphology architecture.

[0030] Specifically, the source-load collaborative interaction architecture is applicable to areas where energy and load are concentrated, including: On the source side, various large-capacity units or centralized power generation forms, including gas turbine units, gas boilers, heat pumps, thermal power, hydropower, wind power, nuclear power, and solar power generation; Load side, including natural gas load, heat load and electricity load that can be adjusted; Among them, the source side and the load side carry out coordinated interactive regulation.

[0031] In the source-load collaborative interaction architecture, the broad demand response, as the main source-load interaction means, has been extended to adjustable loads in various energy forms in the smart distribution network, including natural gas, gas storage systems, gas-electric coupling equipment, etc. This concept of demand response is no longer limited to electric energy, but has been extended to the adjustment of comprehensive energy consumption patterns. Comprehensive demand response refers to the market participation behavior of energy users to change the normal energy consumption pattern in response to market price signals or incentive mechanisms. On the premise of meeting their own needs, users choose more economical energy types and combinations, which can be other energy sources replacing electric energy, or electric energy replacing other energy sources, to achieve the goals of energy conservation, emission reduction and improving energy utilization. In the smart distribution network, comprehensive demand response can play an important role in helping to achieve efficient energy utilization and low carbon emissions.

[0032] The "source-load" interactive architecture of the distribution network refers to the effective matching of energy supply and demand, and the realization of efficient energy utilization and sustainable development through intelligent management and scheduling. This architecture mainly includes the following features: 1) Multi-source complementarity. The "source" of the smart distribution network is no longer limited to a single form of energy supply, but adopts multiple energy forms to achieve multi-source complementarity.

[0033] 2) Flexible dispatching: The smart distribution network can flexibly dispatch energy through intelligent management and dispatching, and realize efficient use of energy according to different demand and supply conditions.

[0034] 3) Diversified demands. The “load” of the smart distribution network is no longer limited to a single form of energy demand, but a diversified energy demand, including electricity, heat, gas, etc.

[0035] 4) Comprehensive response. Comprehensive demand response under the smart distribution network refers to the market participation behavior of energy users responding to market price signals or incentive mechanisms and changing their normal energy consumption patterns.

[0036] The "source-load" interactive mode of the distribution network is applicable to different energy scenarios and needs, such as efficient energy utilization and management in urban energy systems, flexible control and optimization of industrial energy equipment in industrial parks, and the use of renewable energy in agricultural production for irrigation, greenhouses, and animal husbandry. Under the smart distribution network, load demand is an important driving force for achieving energy transformation and sustainable development. The efficient use of energy through flexible scheduling and intelligent management is the trend of future energy development.

[0037] The source-grid-load collaborative interactive architecture is applicable to areas where centralized or distributed energy and loads exist simultaneously, including: On the source side, there are centralized or distributed energy forms including gas turbine units, gas boilers, heat pumps, thermal power, hydropower, wind power, nuclear power, and solar power generation; The grid side includes the transmission grid, natural gas grid and heat grid, which serve as channels for the transmission and distribution of energy; Load side, including natural gas load, heat load and electricity load that can be adjusted; Among them, the source side, load side and grid side are connected, and combined with the energy management system to achieve optimized scheduling of energy demand and supply over a large area.

[0038] The source-grid-load interactive form architecture is mainly reflected and applied in areas where energy demand and energy resources are dispersed, such as solar and wind power generation. This form is suitable for connecting energy resources with the power grid to achieve effective use of energy. At the same time, this form can also be combined with the energy management system to achieve optimal scheduling of energy demand and supply, so as to achieve more efficient energy utilization. In the coordinated interaction process of source-grid-load, the source side includes heat sources such as gas turbine units, gas boilers, heat pumps, new energy units and conventional generators; the grid side is the transmission grid, natural gas grid and heat grid; the load side is natural gas load, heat load and electricity load. At the same time, at night when the heat demand is large and the electricity demand is relatively small, starting from the source side and the grid side, a heat grid model considering the dynamic characteristics of the water temperature of the heating pipeline is established on the grid side, a heat pump device is added on the source side, and a gas turbine-heat pump interconnection system is established. By optimizing heat loss and introducing heat pumps, the economy of the regional comprehensive energy system is improved and the consumption of new energy is promoted.

[0039] The source-load-storage synergistic interactive architecture is applicable to areas where energy and load are misaligned, including: On the source side, there are centralized or distributed energy forms including gas turbine units, gas boilers, heat pumps, thermal power, hydropower, wind power, nuclear power, and solar power generation; Load side, including natural gas load, heat load and electricity load that can be adjusted; On the storage side, energy storage and dispatching equipment including energy storage batteries, hydrogen storage tanks, and compressed air energy storage equipment; Among them, the source side, load side and storage side are connected, and the storage side is used to reduce the contradiction between supply and demand of energy and load.

[0040] The source-load-storage interactive architecture refers to interconnecting energy resources, energy demand and energy storage, and realizing energy storage and dispatching by building energy storage facilities. This form is suitable for areas where energy demand and energy resources are dispersed and misplaced.

[0041] Specifically, the form of source-load-storage interaction mainly includes three aspects: energy resources, energy storage facilities and energy demand. Energy resources mainly refer to the source of energy, including solar energy, wind energy, hydropower, etc.; energy storage facilities mainly refer to energy storage and dispatching equipment, including energy storage batteries, hydrogen storage tanks, compressed air energy storage equipment, etc.; energy demand refers to the demand for energy use. The characteristics of source-load-storage interaction are different from the source-load interaction form in that the energy storage link is added. The characteristics and advantages are: 1) Energy storage facilities can alleviate the contradiction between energy supply and demand and improve energy utilization and reliability; 2) Energy storage facilities can provide support for future energy transformation, such as storage and dispatch of renewable energy; 3) Energy storage facilities can provide flexibility and adjustability for the power market and increase market competitiveness. The application scenarios of source-load-storage interaction include: 1) areas with distributed energy supply and demand, such as rural areas and islands; 2) areas of development and utilization of renewable energy, such as areas with relatively sufficient resources such as solar energy and wind energy; 3) large-scale energy consumption facilities, such as factories and commercial buildings. In short, source-load-storage interaction is an important form of smart distribution network, which can effectively improve energy utilization efficiency and reliability and is suitable for various energy scenarios.

[0042] The source-grid-storage collaborative interactive architecture is suitable for areas where energy is dispersed but demand is concentrated, including: On the source side, distributed energy forms include gas turbine units, gas boilers, heat pumps, thermal power, hydropower, wind power, nuclear power, and solar power generation; The grid side includes the transmission grid, natural gas grid and heat grid, which serve as channels for the transmission and distribution of energy; On the storage side, energy storage and dispatching equipment including energy storage batteries, hydrogen storage tanks, and compressed air energy storage equipment; Among them, the source side, storage side and grid side are connected, and the storage side and grid side are used to concentrate the dispersed energy to the location of load demand.

[0043] The source-grid-storage interactive architecture refers to interconnecting energy resources, energy networks, and energy storage facilities to achieve distributed management and scheduling of energy by establishing a distributed energy management system. The applicable scenarios of the source-grid-storage interactive architecture are as follows: 1) Areas where energy resources are dispersed but energy demand is relatively concentrated: In such areas, energy demand can be met by establishing a distributed energy management system and a smart grid system to achieve efficient scheduling and management of energy.

[0044] 2) Smart distribution network with multiple energy sources: The interactive form of source, grid and storage can realize the management and dispatch of multiple energy sources, such as solar energy, wind energy, hydropower, etc., thus meeting the needs of multiple smart distribution networks.

[0045] 3) New energy development areas: In new energy development areas, energy supply and demand are relatively dispersed. By establishing distributed energy management systems and smart grid systems, efficient energy scheduling and management can be achieved, thereby promoting the development of new energy.

[0046] The source-grid-storage interactive architecture can achieve efficient utilization and allocation of energy resources, improve energy utilization efficiency, and reduce the operating costs of the energy system. It can also reduce the environmental impact of the energy system and reduce the negative impact of energy consumption on the environment.

[0047] The source-grid-load-storage collaborative interactive architecture is applicable to areas where both energy and load are dispersed, including: On the source side, distributed energy forms include gas turbine units, gas boilers, heat pumps, thermal power, hydropower, wind power, nuclear power, and solar power generation; The grid side includes the transmission grid, natural gas grid and heat grid, which serve as channels for the transmission and distribution of energy; Load side, including natural gas load, heat load and electricity load that can be adjusted; On the storage side, energy storage and dispatching equipment including energy storage batteries, hydrogen storage tanks, and compressed air energy storage equipment; Among them, the source side and the load side transport and complement each other's energy through the grid side and the storage side.

[0048] The source-grid-load-storage interactive architecture interconnects energy resources, energy demand, energy network and energy storage facilities, and realizes efficient scheduling and management of energy by establishing a smart grid system and distributed energy management system.

[0049] The source-grid-load-storage interactive model optimizes and integrates the energy supply equipment on the source side, the power grid, heat grid and natural gas grid on the grid side, the demand for various energy forms on the load side and various energy storage equipment on the storage side, deeply interconnecting the power system, thermal system and natural gas system.

[0050] The source-grid-load-storage synergy model comprehensively considers a variety of different energy systems to achieve clean, efficient and economical energy utilization, and raises the use of energy to a new level. With the increasing energy demand and the increasing proportion of new energy units, deep integration and sharing of energy is the only way. In the interactive process, the source side includes the conversion of energy forms, the storage side is responsible for energy storage, the grid side is responsible for energy transportation, and the load side is responsible for energy consumption. In addition, multiple energy sources can be transformed and integrated horizontally, and can be transmitted bidirectionally vertically, so that each energy in the entire system forms a dynamic balance and achieves the highest efficiency of energy utilization. In addition, through information technology, real-time information is provided to the source side and the load side, and the basic guidance direction for the use and transportation of intermediate energy is improved to avoid the waste of excess energy, and a new energy system is formed as much as possible, which brings great guidance to the construction of smart grids and smart distribution networks, and increases the proportion of new energy in energy consumption.

[0051] Source-grid-load-storage interaction is suitable for areas where energy resources and demand are relatively dispersed. Due to the dispersion of energy resources and demand, the traditional centralized energy supply model is difficult to meet the demand, and the distributed energy management system can achieve efficient energy scheduling and management by connecting dispersed energy resources and demand. At the same time, the construction of energy storage facilities can ensure the reliable supply and economic utilization of energy.

[0052] In addition, S2: Based on the typical form architecture of distribution networks at different levels, a cross-level vertical hierarchical coordination mechanism and a horizontal coupling and mutual assistance mechanism between the same levels are established, including: In the cross-level vertical hierarchical coordination mechanism, when there is a scheduling demand for the typical form architecture of the distribution network at any level, the typical form architecture of the distribution network at the lower level is regarded as a single individual and uniformly calculated and processed.

[0053] Avoid the transmission of supply and demand imbalance to the lower level and the transmission of fluctuations across levels. The key to solving the problem of high pollution and high emissions is to increase the development of renewable energy to replace fossil energy consumption. Large-scale bases and distributed are the main forms of renewable energy development. The former currently has widespread problems with the difficulty of absorbing the generated electricity, and it is urgent to carry out large-scale and wide-ranging supply and demand matching in the main energy grid to avoid the transmission of supply and demand imbalance to the lower level; the latter is connected to the bottom layer of the system, and the number will increase significantly in the future, which will lead to intensified or even reversed tidal fluctuations, which will have a significant impact on the energy network. It is necessary to fully manage at the distribution network layer or the newly built microgrid layer to smooth fluctuations and avoid fluctuations from being transmitted across levels.

[0054] The scale of problems faced by energy networks during operation varies. The hierarchical architecture can identify the subjects responsible for handling problems of different scales, solve the problems in a targeted manner, and avoid the expansion of risks. The smart distribution network adds a microgrid layer on the basis of the original main distribution network, connecting the distribution network above and the users below, and is more closely connected with the users. It provides refined management and becomes a beneficial supplement to the distribution network layer.

[0055] In the horizontal coupling and mutual assistance mechanism between the same levels, based on the energy complementarity analysis, a mutual assistance strategy between the same levels is formulated, and during energy scheduling and operation, output and load forecast information is shared in real time to carry out horizontal coupling and mutual assistance.

[0056] Connect multiple links horizontally to achieve optimal utilization of multiple energy types. One of the main ways to solve the problem of low quality and low efficiency is to carry out multi-energy complementation. On the one hand, multiple energy sources can serve as backup for each other through high-efficiency conversion devices, thereby effectively avoiding energy supply interruptions and improving energy supply quality; on the other hand, different energy sources have different characteristics, and the complementary characteristics can effectively improve the overall energy utilization efficiency. Limited by existing technology, system and economy, multi-energy complementarity is mostly promoted at the microgrid level. It is difficult for the distribution network layer and the main network layer of different energy sources to achieve large-scale interconnection, and they will remain relatively independent for a long time in the future.

[0057] Under this system, the smart distribution network can complete the coordinated management of multiple energy sources. According to the operation of the electricity, gas, and heat network industries, it can coordinate and manage multiple energy transactions and resource allocation from the perspective of maximizing energy value, safe system operation, and multi-energy trading principles and regulations, thereby ensuring efficient and safe energy supply and the healthy development of the smart distribution network. At the same time, users can use the platform to understand the specific situation on the demand side, and use the system control network to match energy reserves and demand. As the main body on the demand side, users can also participate in the supply side links such as power supply and heating, and use the energy trading platform and distributed energy storage system to conduct online energy trading, resale and other businesses.

[0058] As the core and link of the smart distribution network, the "source-grid-load-storage" coordinated optimization model of the power system can be more widely applied to the entire energy industry, combined with the technology and system of the smart distribution network to form a coordinated optimization operation model for the entire energy system.

[0059] In the context of smart distribution networks, the coordinated optimization of "source-grid-load-storage" has a deeper meaning; "source" includes various energy resources such as oil, electricity, and natural gas; "grid" includes various resource networks such as power grids, oil pipelines, and heating networks; "load" includes not only power loads, but also users' various energy needs; and "storage" mainly refers to various storage facilities and storage methods of energy resources. Specifically, it mainly includes the following two aspects.

[0060] 1) Horizontal multi-source complementarity. "Horizontal multi-source complementarity" is derived from the concept of "source-source complementarity" in the power system. "Horizontal multi-source complementarity" in the smart distribution network refers to the complementary coordination between various energy resources such as the power system, oil system, heating system, and natural gas supply system. It emphasizes the "substitutability" between various energy sources. Users can not only choose different energy sources at will, but also freely choose the way to use energy resources.

[0061] 2) Vertical “source-grid-load-storage” coordination. “Vertical source-grid-load-storage coordination” is derived from the concepts of “source-grid coordination” and “grid-load-storage interaction” in the power system. “Vertical source-grid-load-storage coordination” in the smart distribution network mainly refers to two aspects: Through a variety of energy conversion technologies and information flow and energy flow interaction technologies, the development and utilization of energy resources and the coordination between resource transportation networks and energy transmission networks can be achieved; Unifying users' various energy demands into a whole will further expand electricity demand-side management into "comprehensive energy management" in the entire energy field, and further amplify the role of broad demand-side resources in promoting clean energy consumption and ensuring safe and stable operation of the system.

[0062] This embodiment also provides a regional energy consumption characteristic perception and analysis system based on historical data collection. When the system is running, the above-mentioned regional energy consumption characteristic perception and analysis method based on historical data collection is executed.

[0063] This embodiment also provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the processor calls the computer program in the memory, the steps of the above-mentioned method for perceiving and analyzing regional energy consumption characteristics based on historical data collection are implemented.

[0064] This embodiment also provides a storage medium, in which computer executable instructions are stored. When the computer executable instructions are loaded and executed by a processor, the steps of the above-mentioned regional energy consumption characteristics perception and analysis method based on historical data collection are implemented.

[0065] The substantial effects of this embodiment include: By finely dividing the regional energy system, a variety of collaborative interactive architectures are constructed according to the resource characteristics and energy needs at different levels, such as source-load, source-grid-load, source-load-storage, etc. These architectures can more accurately reflect the complexity and diversity of the actual energy system. At the same time, through the cross-level vertical hierarchical coordination mechanism, this embodiment realizes the unified scheduling and optimization of energy systems at different levels, and improves the overall efficiency of the energy system. The horizontal coupling and mutual assistance mechanism between the same levels further promotes the complementarity and coordination within the energy system, and realizes the efficient configuration and utilization of energy by sharing information such as output and load forecast in real time. This mechanism not only helps to reduce energy costs and improve energy utilization, but also helps to improve the stability and reliability of the energy system.

[0066] Moreover, by judging the currently selected level, the energy consumption characteristics under the multi-level distribution network architecture are displayed in real time and visually, improving the accuracy and efficiency of information transmission. This dynamic and intuitive display method not only allows managers to quickly grasp the real-time status of the energy system, but also facilitates them to discover potential problems and explore optimization space.

[0067] Through the description of the above implementation methods, technical personnel in the relevant field can understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the specific device can be divided into different functional modules to complete all or part of the functions described above.

[0068] In the embodiments provided in the present application, it should be understood that the disclosed structures and methods can be implemented in other ways. For example, the embodiments of the structure described above are only schematic. For example, the division of modules or units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another structure, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, structures or units, which can be electrical, mechanical or other forms.

[0069] The units described as separate components may or may not be physically separated, and the components shown as units may be one physical unit or multiple physical units, that is, they may be located in one place or distributed in multiple different places. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0070] In addition, each functional unit in the embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0071] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium, including several instructions to enable a device (which can be a single-chip microcomputer, chip, etc.) or a processor (processor) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program code.

[0072] The above contents are only specific implementation methods of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for perceiving and analyzing regional energy consumption characteristics based on historical data collection, characterized in that: The following steps are involved: S1: Obtain historical data of the region, determine the components and connection methods of the source, network, load, and storage in each architecture based on the resource characteristics and energy demand at different levels, and build the corresponding typical form architecture of the distribution network; S2: Based on the typical morphological architecture of distribution networks at different levels, establish a cross-level vertical hierarchical coordination mechanism, as well as a horizontal coupling and mutual assistance mechanism between the same levels; S3: Determine the currently selected level. If it is the lowest level, display the typical form architecture of the current level of distribution network, and provide real-time data display of the horizontal coupling and mutual assistance mechanism of the current level; If it is the highest level, real-time data display of vertical layered collaboration is provided; otherwise, real-time data display of horizontal coupling and mutual assistance mechanism and vertical layered collaboration is provided at the same time.

2. The method for perceiving and analyzing regional energy consumption characteristics based on historical data collection according to claim 1 is characterized in that: S1: Obtain historical data of the region, determine the components and connection methods of the source, network, load, and storage in each architecture according to the resource characteristics and energy requirements at different levels, and build the corresponding typical form architecture of the distribution network, including: Obtain historical data of the region and determine the elemental composition of the region based on the resource characteristics and energy requirements of the region; Different levels of regions are identified according to their elemental composition as one of the following schemas: Source-load collaborative interaction morphology architecture, source-grid-load collaborative interaction morphology architecture, source-load-storage collaborative interaction morphology architecture, source-grid-storage collaborative interaction morphology architecture, source-grid-load-storage collaborative interaction morphology architecture.

3. The regional energy consumption characteristics perception and analysis method based on historical data collection according to claim 2 is characterized in that: The source-load collaborative interaction architecture is applicable to areas where energy and load are concentrated, including: On the source side, various large-capacity units or centralized power generation forms, including gas turbine units, gas boilers, heat pumps, thermal power, hydropower, wind power, nuclear power, and solar power generation; Load side, including natural gas load, heat load and electricity load that can be adjusted; Among them, the source side and the load side carry out coordinated interactive regulation.

4. The method for perceiving and analyzing regional energy consumption characteristics based on historical data collection according to claim 2 is characterized in that: The source-grid-load collaborative interactive architecture is applicable to areas where centralized or distributed energy and loads exist simultaneously, including: On the source side, there are centralized or distributed energy forms including gas turbine units, gas boilers, heat pumps, thermal power, hydropower, wind power, nuclear power, and solar power generation; The grid side includes the transmission grid, natural gas grid and heat grid, which serve as channels for the transmission and distribution of energy; Load side, including natural gas load, heat load and electricity load that can be adjusted; Among them, the source side, load side and grid side are connected, and combined with the energy management system to achieve optimized scheduling of energy demand and supply over a large area.

5. The method for perceiving and analyzing regional energy consumption characteristics based on historical data collection according to claim 2 is characterized in that: The source-load-storage synergistic interactive architecture is applicable to areas where energy and load are misaligned, including: On the source side, there are centralized or distributed energy forms including gas turbine units, gas boilers, heat pumps, thermal power, hydropower, wind power, nuclear power, and solar power generation; Load side, including natural gas load, heat load and electricity load that can be adjusted; On the storage side, energy storage and dispatching equipment including energy storage batteries, hydrogen storage tanks, and compressed air energy storage equipment; Among them, the source side, load side and storage side are connected, and the storage side is used to reduce the contradiction between supply and demand of energy and load.

6. The method for perceiving and analyzing regional energy consumption characteristics based on historical data collection according to claim 2 is characterized in that: The source-grid-storage collaborative interactive architecture is suitable for areas where energy is dispersed but demand is concentrated, including: On the source side, distributed energy forms include gas turbine units, gas boilers, heat pumps, thermal power, hydropower, wind power, nuclear power, and solar power generation; The grid side includes the transmission grid, natural gas grid and heat grid, which serve as channels for the transmission and distribution of energy; On the storage side, energy storage and dispatching equipment including energy storage batteries, hydrogen storage tanks, and compressed air energy storage equipment; Among them, the source side, storage side and grid side are connected, and the storage side and grid side are used to concentrate the dispersed energy to the location of load demand.

7. The method for perceiving and analyzing regional energy consumption characteristics based on historical data collection according to claim 2 is characterized in that: The source-grid-load-storage collaborative interactive architecture is applicable to areas where both energy and load are dispersed, including: On the source side, distributed energy forms include gas turbine units, gas boilers, heat pumps, thermal power, hydropower, wind power, nuclear power, and solar power generation; The grid side includes the transmission grid, natural gas grid and heat grid, which serve as channels for the transmission and distribution of energy; Load side, including natural gas load, heat load and electricity load that can be adjusted; On the storage side, energy storage and dispatching equipment including energy storage batteries, hydrogen storage tanks, and compressed air energy storage equipment; Among them, the source side and the load side transport and complement each other's energy through the grid side and the storage side.

8. The method for perceiving and analyzing regional energy consumption characteristics based on historical data collection according to claim 1 is characterized in that: S2: Based on the typical form architecture of distribution networks at different levels, a cross-level vertical hierarchical coordination mechanism and a horizontal coupling and mutual assistance mechanism between the same levels are established, including: In the cross-level vertical hierarchical coordination mechanism, when there is a dispatch demand for the typical form architecture of the distribution network at any level, the typical form architecture of the distribution network at the lower level is regarded as a single individual for unified calculation and processing; In the horizontal coupling and mutual assistance mechanism between the same levels, based on the energy complementarity analysis, a mutual assistance strategy between the same levels is formulated, and during energy scheduling and operation, output and load forecast information is shared in real time to carry out horizontal coupling and mutual assistance.

9. Regional energy consumption characteristics perception and analysis system based on historical data collection, characterized by: When the regional energy consumption characteristic perception and analysis system based on historical data collection is in operation, the regional energy consumption characteristic perception and analysis method based on historical data collection as described in any one of claims 1 to 8 is executed.

10. An electronic device, characterized in that: It comprises a memory and a processor, wherein the memory stores a computer program, and when the processor calls the computer program in the memory, it implements the steps of the regional energy consumption characteristic perception and analysis method based on historical data collection as described in any one of claims 1 to 8.

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