Method, system and equipment for analyzing electrical carbon sensitivity of direct connection unit and storage medium

Abstract

The invention discloses a direct connection unit electricity carbon sensitivity analysis method, system and device and a storage medium, and the method comprises the steps: building a power grid full-amount topological graph model based on a graph database, and carrying out the simplification of the power grid full-amount topological graph model, and obtaining a power grid power supply relation graph model, and calculating the total power supply power of the target station and the dynamic electrical carbon sensitivity of the direct connection unit of the target station based on the power grid power supply relation graph model, and visually displaying the dynamic electrical carbon sensitivity. According to the method, the incidence relation between the topological structure of the power grid and the nodes is considered, and the electric carbon sensitivity of the direct connection unit is defined as the product of the ratio of the power of the direct connection unit to the total power of the target station and the unit carbon emission coefficient dynamically updated through real-time metering. The method can dynamically evaluate the influence degree of the direct-connected unit on the station carbon emission, so that the method can preferentially replace the direct-connected unit to maximize the carbon reduction effect. Compared with a traditional method, the processing speed and efficiency of the graph calculation technology and the power grid power supply relation graph model constructed in a simplified mode are obviously improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of electric carbon analysis, and in particular relates to an analysis method, system, equipment and storage medium for the electric carbon sensitivity of a direct-connected unit. Background Art

[0002] As global climate change intensifies, all countries will set the realization of carbon peak and carbon neutrality as important goals. The power system is an important pillar of the national economy, and its carbon emissions account for a large proportion of the total carbon emissions of the society. Focusing on "green and low-carbon", how can Chinese enterprises actively respond to the new requirements of international green trade rules for product carbon footprint accounting? It is an inevitable choice to achieve accurate traceability of carbon flow in the power system by refining the calculation of electric carbon factors. In the power system, the carbon flow starts from the power plant, enters the power system with the active power of the power plant, flows in the power grid with the active power flow in the system, and finally flows into the consumer terminal on the user side. On the surface, carbon emissions are discharged into the atmosphere through the power plant, but in fact, carbon emissions are consumed by power users through carbon flow. The electric carbon sensitivity of the directly connected units is ranked for the target substation, and the power impact ratio and carbon emission level of different generator sets are considered. Clean energy can be used to replace thermal power units with high electric carbon sensitivity to maximize the carbon reduction effect of the target substation. However, the site load in the power system changes at any time, and the operation mode and carbon emission level of the generator set will also change accordingly. If traditional methods are used to conduct carbon sensitivity analysis of directly connected units in the target substation, it is impossible to dynamically evaluate the impact of directly connected units on the carbon emissions of the station, and it is not applicable to carbon sensitivity analysis of large-scale power systems. Summary of the invention

[0003] To solve the above problems, the present invention provides an analysis method, system, equipment and storage medium for the carbon sensitivity of direct-connected units, so as to solve the problem that traditional methods cannot dynamically evaluate the impact of direct-connected units on site carbon emissions and are not applicable to carbon sensitivity analysis of large-scale power systems.

[0004] A graph-based carbon sensitivity analysis method for direct-connected units includes:

[0005] Create a full-scale topology model of the power grid based on the graph database;

[0006] The full topology graph model of the power grid is simplified to obtain a power supply relationship graph model of the power grid;

[0007] Calculate the total power supply power of the target station based on the power supply relationship diagram model of the power grid;

[0008] The dynamic electric-carbon sensitivity of the target station's directly connected units is calculated based on the total power supply.

[0009] According to a specific embodiment of the present invention, creating a full-scale topology graph model of a power grid based on a graph database includes:

[0010] Obtain full topology model data and measurement data within the power grid area;

[0011] Create a full power grid topology model based on the full topology model data and measurement data.

[0012] According to a specific embodiment of the present invention, the full topology model data includes equipment, lines, organizational levels and measurement points of all stations in the power grid, and the full topology model data is updated as the actual power grid connection relationship changes.

[0013] According to a specific embodiment of the present invention, the measurement data includes voltage, current and power monitored in real time in the power system.

[0014] According to a specific embodiment of the present invention, creating a full-scale topology graph model of a power grid based on full-scale topology model data and measurement data includes:

[0015] Create multiple data nodes based on the full topology model data and measurement data;

[0016] Create edges based on the relationship between the full topology model data and the measurement data;

[0017] Multiple data nodes are associated using edges to obtain a full topology graph model of the power grid.

[0018] According to a specific embodiment of the present invention, the full power grid topology model is simplified to obtain a power grid power supply relationship graph model including:

[0019] The station node, unit node, load node and transmission line node are selected from each data node of the full power grid topology model, and the station node is associated with the unit node, load node and transmission line node respectively to obtain the power grid power supply relationship diagram model.

[0020] According to a specific embodiment of the present invention, calculating the total power supply power of the target station based on the power supply relationship graph model of the power grid includes:

[0021] Determine the target station node and the unit node associated with the target station node, the negative load node and the transmission line node with negative transmission power based on the power grid power supply relationship graph model;

[0022] The input power of the computer group nodes, negative load nodes and transmission line nodes with negative transmission power are calculated respectively, and the input power of each type of node is accumulated to the target station node to obtain the total power supply power of the station. The calculation formula of the total power supply power of the station is:

[0023] P k =∑P U,k,0,α +abs(∑PL,k,0,β )+abs(∑P LT,k,0,γ )

[0024] Where P K is the total power supply of the target station, P U,k,0,α is the input power of the αth unit of the target station, P L,k,0,β is the βth negative load input power of the target station, P LT,k,0,γ is the input power of the γth transmission line node with negative transmission power at the target station.

[0025] According to a specific embodiment of the present invention, calculating the dynamic electric carbon sensitivity of the target station directly connected unit based on the total power supply power includes:

[0026] Determine the directly connected units of the target station based on the power grid power supply relationship diagram model;

[0027] The dynamic electric carbon sensitivity of the direct-connected units at the target station is calculated based on the input power of the direct-connected units and the total power supply power of the target station. The calculation formula is:

[0028] C n =ε n ×ρ n

[0029] ε n =P U,k,0,α / P k

[0030] Among them, C n is the dynamic carbon sensitivity of the target station directly connected unit, ε n The target station S k The sensitivity of the αth directly connected unit, ρ n It is the carbon emission factor benchmark value corresponding to different unit types.

[0031] According to a specific embodiment of the present invention, the method further includes:

[0032] Visualize dynamic electro-carbon sensitivity.

[0033] According to a specific embodiment of the present invention, visually displaying the dynamic electro-carbon sensitivity includes:

[0034] Based on the power grid power supply relationship diagram model, color coding is used to visualize the dynamic electric carbon sensitivity.

[0035] According to a specific embodiment of the present invention, the method further includes:

[0036] A threshold is set for the dynamic carbon sensitivity. When the dynamic carbon sensitivity exceeds the preset threshold, the unit corresponding to the dynamic carbon sensitivity exceeding the threshold is highlighted.

[0037] A graph-based carbon sensitivity analysis system for direct-connected units, comprising:

[0038] A power grid full topology graph model creation module is used to create a power grid full topology graph model based on a graph database;

[0039] A power grid power supply relationship graph model creation module is used to simplify the full power grid topology graph model to obtain a power grid power supply relationship graph model;

[0040] The total power supply calculation module of the station is used to calculate the total power supply power of the target station based on the power supply relationship diagram model of the power grid;

[0041] The electric carbon sensitivity calculation module is used to calculate the dynamic electric carbon sensitivity of the target station's directly connected units based on the total power supply.

[0042] According to a specific embodiment of the present invention, the power grid full topology model creation module further includes:

[0043] Data access module, used to obtain full topology model data and measurement data in the power grid area;

[0044] A data node creation module is used to create multiple data nodes based on the full topology model data and measurement data;

[0045] The edge creation module is used to create edges based on the relationship between the full topology model data and the measurement data;

[0046] The topology graph model generation module is used to associate multiple data nodes using edges to obtain a full topology graph model of the power grid.

[0047] According to a specific embodiment of the present invention, the station total power supply calculation module further includes:

[0048] A node screening module is used to determine the target station node and the unit nodes associated with the target station node, the negative load nodes and the transmission line nodes with negative transmission power based on the power supply relationship diagram model of the power grid;

[0049] The power calculation module is used to calculate the input power of computer group nodes, negative load nodes and transmission line nodes with negative transmission power respectively, and add the input power of each type of node to the target station node to obtain the total power supply power of the station.

[0050] According to a specific embodiment of the present invention, the electric carbon sensitivity calculation module further includes:

[0051] A direct-connected unit search module is used to determine the direct-connected units of the target station based on the power supply relationship diagram model of the power grid;

[0052] The dynamic carbon-to-electricity sensitivity calculation module is used to calculate the dynamic carbon-to-electricity sensitivity of the direct-connected units of the target station according to the input power of the direct-connected units and the total power supply power of the target station.

[0053] According to a specific embodiment of the present invention, the system further includes:

[0054] Visualization module for visualizing dynamic electro-carbon sensitivity.

[0055] According to a specific embodiment of the present invention, the system further includes:

[0056] The threshold setting module is used to set the threshold of dynamic electro-carbon sensitivity.

[0057] A computer device includes a processor and a memory, wherein a computer program is stored in the memory, and the computer program is loaded and executed by the processor to implement the above-mentioned graph-based calculation-based direct-connected unit electric carbon sensitivity analysis method.

[0058] A computer-readable storage medium stores a computer program, which is loaded and executed by a processor to implement the above-mentioned graph-based calculation-based direct-connected unit electric carbon sensitivity analysis method.

[0059] Compared with the prior art, the analysis method, system, device and storage medium of the electric carbon sensitivity of a direct-connected unit provided by the present invention have the following advantages:

[0060] 1. The present invention defines the carbon sensitivity of the direct-connected unit as the ratio of the power of the direct-connected unit to the total power of the target station multiplied by the unit carbon emission coefficient dynamically updated through real-time measurement by considering the topological structure of the power grid and the correlation between nodes. In this way, the impact of the direct-connected unit on the carbon emissions of the station can be dynamically evaluated, so that clean substitution can be prioritized to maximize the carbon reduction effect. The power grid power supply relationship graph model that adopts graph computing technology and simplified construction has significantly improved processing speed and efficiency compared with traditional methods, and is particularly suitable for large-scale power system dynamic analysis systems.

[0061] 2. From the perspective of carbon emissions from electricity, the present invention searches for the power supply path of the target station, determines the directly connected power supply unit of the station, and realizes the visualization of carbon source sensitivity through the power generation type of each unit and the power sensitivity level to the target station. The electric carbon sensitivity can intuitively, in real time and accurately reflect the impact of each unit on the carbon intensity of each node, and provide data support and technical support for the optimization of power grid dispatching trends and power layout optimization of planning schemes. By tracking the power supply path of the power system through the graph database, the source of carbon emissions in different energy sources, power plants and power networks can be clearly identified, which helps to distinguish between high-carbon and low-carbon power generation methods and provide more targeted strategies for emission reduction.

[0062] 3. In terms of carbon emission management, by calculating the carbon sensitivity of directly connected units, the sensitivity of different units to carbon emissions can be evaluated. This helps to formulate carbon emission management strategies, optimize the power generation mix of the power system, reduce the use of high-carbon emission generating units, thereby reducing overall carbon emissions and achieving sustainable use of clean energy.

[0063] 4. In terms of energy management and energy conservation and emission reduction, by analyzing the topology of the power grid and the power of the power supply nodes, it is possible to identify areas with high energy consumption and high load, so as to carry out targeted energy management and energy conservation and emission reduction measures. This helps to improve energy utilization efficiency, reduce energy waste, and promote sustainable development and a low-carbon economy. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0065] Figure 1 The present invention is a flowchart of a method for analyzing the carbon sensitivity of a direct-connected unit provided in accordance with an embodiment of the present invention.

[0066] Figure 2 It is a flow chart of a method for creating a full-scale topology model of a power grid according to an embodiment of the present invention.

[0067] Figure 3 It is a flow chart of a method for creating a full-scale topology model of a power grid according to an embodiment of the present invention.

[0068] Figure 4 It is a flow chart of a method for calculating the total power supply power of a target site provided according to an embodiment of the present invention.

[0069] Figure 5 It is a flow chart of a method for calculating the dynamic electric-carbon sensitivity of a target station directly connected unit provided according to an embodiment of the present invention.

[0070] Figure 6 The present invention is a structural diagram of an analysis system for the electro-carbon sensitivity of a direct-connected unit provided in accordance with an embodiment of the present invention.

[0071] Figure 7 It is a structural diagram of a module for creating a full power grid topology model according to an embodiment of the present invention.

[0072] Figure 8 It is a structural diagram of a station total power supply calculation module provided according to an embodiment of the present invention.

[0073] Fig. 9 4 is a structural diagram of a threshold setting module provided according to an embodiment of the present invention.

[0074] Fig.10 It is a schematic diagram of the structure of a computer device provided according to an embodiment of the present invention.

[0075] Fig.11 It is a schematic diagram of a full-scale topology model of a power grid provided according to an embodiment of the present invention.

[0076] Fig.12 It is a schematic diagram of a simplified power supply relationship diagram model of a first power grid provided according to an embodiment of the present invention.

[0077] Fig.13 It is a schematic diagram of a simplified power supply relationship diagram model of a second power grid provided according to an embodiment of the present invention.

[0078] Fig.14 It is a schematic diagram of calculating the total power supply of a site according to an embodiment of the present invention.

[0079] Reference numerals:

[0080] 1- Grid full topology model creation module; 2- Grid power supply relationship diagram model creation module; 3- Station power supply total power calculation module; 4- Electric carbon sensitivity calculation module; 5- Visualization module; 6- Threshold setting module;

[0081] 11-data access module; 12-data node creation module; 13-edge creation module; 14-topology graph model generation module;

[0082] 31-node screening module; 32-power calculation module;

[0083] 41-directly connected unit search module; 42-dynamic electric carbon sensitivity calculation module. DETAILED DESCRIPTION

[0084] In order to make those skilled in the art understand the concept and thought of the present invention more clearly, the present invention is described in detail below in conjunction with specific embodiment.It should be understood that the embodiment provided herein is only a part of all embodiments that the present invention may have.Those skilled in the art, after reading the specification of the application, have the ability to make improvements, transformations, or replacements to part or the whole of the following embodiments, and these improvements, transformations, or replacements are also included in the scope of the present invention.

[0085] In this article, the terms "first", "second" and other similar words are not intended to imply any order, quantity and importance, but are only used to distinguish different elements. In this article, the terms "one", "an" and other similar words are not intended to indicate that there is only one thing, but to indicate that the relevant description is only for one of the things, and the thing may have one or more. In this article, the terms "comprise", "include" and other similar words are intended to indicate logical mutual relations, and cannot be regarded as indicating spatial structural relations. For example, "A includes B" is intended to indicate that B belongs to A logically, but does not mean that B is located inside A in space. In addition, the meanings of the terms "comprise", "include" and other similar words should be regarded as open, rather than closed. For example, "A includes B" is intended to indicate that B belongs to A, but B does not necessarily constitute the whole of A, and A may also include other elements such as C, D, and E.

[0086] In this document, the terms "embodiment", "this embodiment", "one embodiment", and "an embodiment" do not mean that the relevant description is only applicable to a specific embodiment, but rather that the description may also be applicable to one or more other embodiments. Those skilled in the art should understand that in this document, any description of a certain embodiment can be replaced, combined, or combined in other ways with the relevant descriptions in one or more other embodiments, and the new embodiments generated by the replacement, combination, or combination in other ways are easily conceivable by those skilled in the art and fall within the scope of protection of the present invention.

[0087] Example 1

[0088] Additional aspects and advantages of embodiments of the present invention will be described in part in the following description, and will become apparent from the following description, or will be learned through practice of embodiments of the present invention. Figure 1-Figure 5 The embodiment of the present invention provides a method for analyzing the carbon sensitivity of a direct-connected unit, comprising:

[0089] S1: Create a full-scale topology model of the power grid based on the graph database.

[0090] S2: Simplify the full power grid topology model to obtain a power grid power supply relationship diagram model.

[0091] S3: Calculate the total power supply power of the target site based on the power supply relationship diagram model of the power grid.

[0092] S4: Calculate the dynamic carbon sensitivity of the target station’s directly connected units based on the total power supply.

[0093] S5: Visualization of dynamic electro-carbon sensitivity.

[0094] Specifically, step S1 creates a full-scale topology graph model of the power grid based on the graph database, including:

[0095] S11: Obtain full topology model data and measurement data in the power grid area.

[0096] Among them, the full topology model data includes the equipment of all stations in the power grid (such as generator sets, main transformers, busbars, switch connection equipment, line ends, transmission lines, feeders, loads, distributed power sources, etc.), lines, organizational levels and measurement points, where the equipment contains coordinate information, and the data supports multiple formats, including but not limited to Excel format, XML format, CIM / E format and JSON format. The full topology model data is updated as the actual power grid connection relationship changes. The measurement data includes the voltage, current and power monitored in real time in the power system, and the measurement data can be updated in real time at the minute level. The graph database is a non-relational database used to store and query graph structure data. In the graph database, data is organized in the form of nodes (representing entities) and edges (representing the relationship between entities). The present invention obtains the full topology model data and measurement data in the power grid area from the graph database for creating a full topology graph model of the power grid.

[0097] S12: Create a full-scale topology model of the power grid based on the full-scale topology model data and the measurement data, including:

[0098] S121: Create multiple data nodes based on the full topology model data and measurement data.

[0099] S122: Create edges according to the relationship between the full topology model data and the measurement data.

[0100] S123: Use edges to associate multiple data nodes to obtain a full-scale topology graph model of the power grid.

[0101] The embodiment of the present invention is established as follows Fig.11 The full-scale topology model of the power grid is shown, in which the equipment and measurement data of all power grid stations are set as multiple data nodes, and the data are associated according to the relationship between each data, thereby obtaining the full-scale topology model of the power grid.

[0102] Specifically, step S2 simplifies the full power grid topology model to obtain a power grid power supply relationship diagram model including:

[0103] The station node, unit node, load node and transmission line node are selected from each data node of the full power grid topology model, and the station node is associated with the unit node, load node and transmission line node respectively to obtain the power grid power supply relationship diagram model.

[0104] The embodiment of the present invention screens the data nodes in the model according to the full topology graph model of the power grid established in step S1, and only retains the substation nodes (Substation), unit nodes (Unit), load nodes (Load) and transmission line nodes (Line) in the full topology graph model data. The substation nodes are directly associated with the unit nodes or load nodes through edges, and then the following is obtained: Fig.12 and Fig.13 The power grid power supply relationship diagram model shown is used to simplify the number of search devices and improve efficiency.

[0105] Specifically, step S3 calculates the total power supply power of the target station based on the power supply relationship diagram model of the power grid, including:

[0106] S31: Determine the target station node and the unit nodes associated with the target station node, the negative load nodes and the transmission line nodes with negative transmission power based on the power grid power supply relationship diagram model.

[0107] S32: The input powers of the computer group nodes, the negative load nodes and the transmission line nodes with negative transmission power are calculated respectively, and the input powers of various nodes are accumulated to the target station node to obtain the total power supply power of the station. The calculation formula of the total power supply power of the station is:

[0108] P k =∑P U,k,0,α +abs(∑P L,k,0,β )+abs(∑P LT,k,0,γ ) (1)

[0109] Where P k is the total power supply of the target station, P U,k,0,α is the input power of the αth unit of the target station, P L,k,0,β is the βth negative load input power of the target station, P LT,k,0,γ is the input power of the γth transmission line node with negative transmission power at the target station. abs(x) is usually used to represent the absolute value of variable x in mathematics, for example: x=-3, then abs(-3)=3.

[0110] The embodiment of the present invention determines the directly connected units and the line nodes with negative transmission power through the power supply relationship diagram model structure of "station-unit", "station-load" and "station-line" in the power supply relationship diagram model of the power grid, and then accumulates the various powers into the "total power" attribute of the target station by calculating the input power of the unit node, negative load node and transmission line node with negative transmission power. For example, Fig.14The total power supply calculation diagram of the station is shown in the figure. The unit input power of the target station is 50MW, the negative load input power of the target station is -5MW, and the input power of the transmission line node of the target station is -10MW. According to formula (1), the total power supply power P of the station can be calculated. k For: P k =50+5+10=65MW.

[0111] Specifically, step S4 calculates the dynamic carbon sensitivity of the target station directly connected unit based on the total power supply power, including:

[0112] S41: Determine the directly connected units of the target station based on the power supply relationship diagram model of the power grid.

[0113] S42: Calculate the dynamic electric carbon sensitivity of the direct-connected units at the target station based on the input power of the direct-connected units and the total power supply power of the target station. The calculation formula is:

[0114] C n =ε n ×ρ n (2)

[0115] ε n =P U,k,0,α / P k (3)

[0116] Among them, C n is the dynamic carbon sensitivity of the target station directly connected unit, ε n The target station S k The sensitivity of the αth directly connected unit, ρ n It is the carbon emission factor benchmark value corresponding to different unit types.

[0117] In the embodiment of the present invention, the unit nodes and the negative load nodes that supply power to the station are used as the directly connected power supply nodes. Through the graph topology of "station-unit" and "station-load" in the power grid power supply relationship graph model, the directly connected units can be searched and determined. Then, the target station S is calculated according to the input power of the directly connected unit calculated in step S32 and the total power supply power of the target station. k The sensitivity of the directly connected unit ε n The carbon sensitivity of the unit needs to consider the unit type, so the carbon emission factor baseline value ρ corresponding to different unit types is n Multiplying by the sensitivity of the directly connected unit, the dynamic carbon sensitivity of the directly connected unit at the target station can be obtained, where the carbon emission factor baseline value ρ n You can choose the recommended average value, or dynamically update it based on the carbon emission measurements of different units. The dynamic electric carbon sensitivity of the directly connected units calculated by this model can be updated in real time and accurately, thereby reflecting the impact of each unit on the electric carbon intensity of each node in real time and accurately.

[0118] For example, as shown in Example 12, the structured model connection files of all substations, transmission lines, feeders, loads, and distributed power sources in the power grid area are imported. The format is not limited to Excel format, XML format, CIM / E format, JSON format, etc., and the equipment contains coordinate information. The topological data includes all equipment in the substation, transmission lines, feeders, loads, and distributed power sources, such as main transformers, busbars, switch connection devices, line ends, etc. The structured model connection file is updated as the actual power grid connection relationship changes, and the measurement data needs to collect minute-level section data for real-time update. According to the full topological model data of the power grid, the power supply association graph model is simplified. The power supply association graph model only retains the station nodes, unit nodes, load nodes, and transmission line nodes in the full topological model data. The station node is directly associated with the unit node or load node through an edge. Simplify the number of search devices and improve efficiency.

[0119] Sensitivity calculation of directly connected unit Unit1 ε n =50 / 65=0.77, assuming that the unit is a conventional coal-fired unit of 300MW or below, according to the "Carbon Emission Benchmark Values ​​of Each Category of Units" in the Implementation Plan for the Total Setting and Allocation of National Carbon Emission Trading Quotas in 2021 and 2022, as shown in Table 1, the 2022 benchmark value of 0.8729tCO2 / MWh is selected, C n =0.67.ρ n It can be dynamically updated according to the measured carbon emission values ​​of different units to form an online analysis system for the carbon sensitivity of directly connected units. It can dynamically calculate and visualize the ranking of directly connected units that affect the carbon emission levels of electricity at target substations in the region, and be used to guide substations to accurately reduce carbon emissions.

[0120] Table 1 Carbon emission benchmark values ​​for each type of unit

[0121]

[0122] Specifically, step S5 of visually displaying the dynamic electro-carbon sensitivity includes:

[0123] Based on the power grid power supply relationship diagram model, color coding is used to visualize the dynamic electric carbon sensitivity.

[0124] The embodiment of the present invention uses color coding to intuitively display the carbon sensitivity of its directly connected power supply units based on the power grid power supply relationship diagram model. When the target station is selected, the specific sensitivity value can be viewed by hovering or clicking the mouse.

[0125] In a specific embodiment of the present invention, the method further comprises:

[0126] A threshold is set for the dynamic carbon sensitivity. When the dynamic carbon sensitivity exceeds the preset threshold, the unit corresponding to the dynamic carbon sensitivity exceeding the threshold is highlighted.

[0127] By setting a threshold for dynamic carbon sensitivity and highlighting the units corresponding to the carbon sensitivity exceeding the threshold, the impact of each unit on the power carbon intensity of the node can be intuitively reflected.

[0128] Example 2

[0129] Based on the above method, the embodiment of the present invention also provides Figure 6-Figure 9 The analytical system for the electric carbon sensitivity of a direct-connected unit shown in the figure comprises:

[0130] The power grid full topology graph model creation module 1 is used to create a power grid full topology graph model based on a graph database.

[0131] The power grid power supply relationship diagram model creation module 2 is used to simplify the full power grid topology diagram model to obtain the power grid power supply relationship diagram model.

[0132] The station power supply total power calculation module 3 is used to calculate the total power supply power of the target station based on the power supply relationship diagram model of the power grid.

[0133] The electric carbon sensitivity calculation module 4 is used to calculate the dynamic electric carbon sensitivity of the target station directly connected units based on the total power supply power.

[0134] The visualization module 5 is used for visualizing the dynamic electro-carbon sensitivity.

[0135] The threshold setting module 6 is used to set the threshold of dynamic electro-carbon sensitivity.

[0136] Specifically, the power grid full topology model creation module 1 also includes:

[0137] The data access module 11 is used to obtain the full amount of topological model data and measurement data in the power grid area.

[0138] The full topology model data includes the equipment of all power grid stations (such as generator sets, main transformers, busbars, switch connection equipment, line ends, transmission lines, feeders, loads, distributed power sources, etc.), lines, organizational levels and measurement points, where the equipment contains coordinate information, and the data supports multiple formats, including but not limited to Excel format, XML format, CIM / E format and JSON format. The full topology model data is updated as the actual power grid connection relationship changes. The measurement data includes the voltage, current and power monitored in real time in the power system, and the measurement data can be updated in real time at the minute level. The graph database is a non-relational database used to store and query graph structure data. In the graph database, data is organized in the form of nodes (representing entities) and edges (representing the relationship between entities). The present invention obtains the full topology model data and measurement data in the power grid area from the graph database for creating a full topology graph model of the power grid.

[0139] The data node creation module 12 is used to create multiple data nodes based on the full topology model data and measurement data.

[0140] The edge creation module 13 is used to create edges according to the relationship between the full topology model data and the measurement data.

[0141] The topology graph model generation module 14 is used to associate multiple data nodes using edges to obtain a full-scale topology graph model of the power grid.

[0142] The embodiment of the present invention is established through the above modules. Fig.11 The full-scale topology model of the power grid is shown, in which the equipment and measurement data of all power grid stations are set as multiple data nodes, and the data are associated according to the relationship between each data, thereby obtaining the full-scale topology model of the power grid.

[0143] Specifically, the embodiment of the present invention uses the power grid power supply relationship graph model creation module 2 to filter the data nodes in the established power grid full topology graph model, and only retains the substation nodes (Substation), unit nodes (Unit), load nodes (Load) and transmission line nodes (Line) in the full topology graph model data. The substation nodes are directly associated with the unit nodes or load nodes through edges, and then the following is obtained: Fig.12 The power grid power supply relationship diagram model shown is used to simplify the number of search devices and improve efficiency.

[0144] Specifically, the station total power supply calculation module 3 also includes:

[0145] The node screening module 31 is used to determine the target station node and the unit nodes associated with the target station node, the negative load nodes and the transmission line nodes with negative transmission power based on the power grid power supply relationship diagram model.

[0146] The power calculation module 32 is used to calculate the input power of computer group nodes, negative load nodes and transmission line nodes with negative transmission power respectively, and add the input power of each type of node to the target station node to obtain the total power supply power of the station.

[0147] In an embodiment of the present invention, the node screening module 31 determines the directly connected units and the line nodes with negative transmission power through the power supply relationship model structures of "station-unit", "station-load" and "station-line" in the power supply relationship model of the power grid, and then calculates the input power of the computer group nodes, negative load nodes and transmission line nodes with negative transmission power through the power calculation module 32, and accumulates various types of power to the "total power" attribute of the target station.

[0148] Specifically, the electric carbon sensitivity calculation module 4 also includes:

[0149] The directly connected unit search module 41 is used to determine the directly connected units of the target station based on the power supply relationship diagram model of the power grid.

[0150] The dynamic carbon-to-electricity sensitivity calculation module 42 is used to calculate the dynamic carbon-to-electricity sensitivity of the direct-connected units of the target station according to the input power of the direct-connected units and the total power supply power of the target station.

[0151] In the embodiment of the present invention, the direct-connected unit search module 41 is used to select the unit nodes and negative load nodes that supply power to the station as the direct-connected power supply nodes. Through the graph topology of "station-unit" and "station-load" in the power grid power supply relationship graph model, the direct-connected units can be searched and determined. Then, the input power of the direct-connected unit calculated by the dynamic electric carbon sensitivity calculation module 42 and the total power supply power of the target station are used to calculate the target station S k The sensitivity of the directly connected unit ε n The carbon sensitivity of the unit needs to consider the unit type, so the carbon emission factor baseline value ρ corresponding to different unit types is n Multiplying by the sensitivity of the directly connected unit, the dynamic carbon sensitivity of the directly connected unit at the target station can be obtained, where the carbon emission factor baseline value ρ n You can choose the recommended average value, or dynamically update it based on the carbon emission measurements of different units. The dynamic electric carbon sensitivity of the directly connected units calculated by this model can be updated in real time and accurately, thereby reflecting the impact of each unit on the electric carbon intensity of each node in real time and accurately.

[0152] Specifically, the embodiment of the present invention utilizes the visualization module 5 to display the carbon sensitivity of the directly connected power supply unit. When the target station is selected, the specific sensitivity value can be viewed by hovering or clicking the mouse.

[0153] In a specific embodiment of the present invention, the threshold setting module 6 is used to set the threshold of the dynamic carbon sensitivity. When the dynamic carbon sensitivity exceeds the preset threshold, the unit corresponding to the dynamic carbon sensitivity exceeding the threshold is highlighted. By setting the threshold of the dynamic carbon sensitivity and highlighting the unit corresponding to the carbon sensitivity exceeding the threshold, the influence of each unit on the power carbon intensity of the node can be intuitively reflected.

[0154] Example 3

[0155] like Fig.10 As shown, an embodiment of the present invention further provides a computer device, the computer device includes a processor and a memory, the memory stores a computer program, and the computer program is loaded and executed by the processor to implement the above-mentioned graph-based direct-connected unit electric carbon sensitivity analysis method. The device in the present invention can be a server, a PC, a PAD, a mobile phone, etc.

[0156] Furthermore, an embodiment of the present invention also provides a computer-readable storage medium, in which a computer program is stored, and the computer program is loaded and executed by a processor to implement the above-mentioned graph-based calculation-based direct-connected unit carbon sensitivity analysis method.

[0157] Furthermore, an embodiment of the present invention also provides a computer program product, which, when executed on a data processing device, is suitable for executing a program that initializes the steps of the analysis method for the carbon sensitivity of a direct-connected unit as described above.

[0158] In summary, the present invention provides a method, system, device and storage medium for analyzing the carbon sensitivity of a direct-connected unit, which have the following advantages:

[0159] 1. The present invention defines the carbon sensitivity of the direct-connected unit as the ratio of the power of the direct-connected unit to the total power of the target station multiplied by the unit carbon emission coefficient dynamically updated through real-time measurement by considering the topological structure of the power grid and the correlation between nodes. In this way, the impact of the direct-connected unit on the carbon emissions of the station can be dynamically evaluated, so that clean substitution can be prioritized to maximize the carbon reduction effect. The power grid power supply relationship graph model that adopts graph computing technology and simplified construction has significantly improved processing speed and efficiency compared with traditional methods, and is particularly suitable for large-scale power system dynamic analysis systems.

[0160] 2. From the perspective of carbon emissions from electricity, the present invention searches for the power supply path of the target station, determines the directly connected power supply unit of the station, and realizes the visualization of carbon source sensitivity through the power generation type of each unit and the power sensitivity level to the target station. The electric carbon sensitivity can intuitively, in real time and accurately reflect the impact of each unit on the carbon intensity of each node, and provide data support and technical support for the optimization of power grid dispatching trends and power layout optimization of planning schemes. By tracking the power supply path of the power system through the graph database, the source of carbon emissions in different energy sources, power plants and power networks can be clearly identified, which helps to distinguish between high-carbon and low-carbon power generation methods and provide more targeted strategies for emission reduction.

[0161] 3. In terms of carbon emission management, by calculating the carbon sensitivity of directly connected units, the sensitivity of different units to carbon emissions can be evaluated. This helps to formulate carbon emission management strategies, optimize the power generation mix of the power system, reduce the use of high-carbon emission generating units, thereby reducing overall carbon emissions and achieving sustainable use of clean energy.

[0162] 4. In terms of energy management and energy conservation and emission reduction, by analyzing the topology of the power grid and the power of the power supply nodes, it is possible to identify areas with high energy consumption and high load, so as to carry out targeted energy management and energy conservation and emission reduction measures. This helps to improve energy utilization efficiency, reduce energy waste, and promote sustainable development and a low-carbon economy.

[0163] The above describes in detail the concepts, principles and ideas of the present invention in conjunction with specific implementation methods (including embodiments and examples). Those skilled in the art should understand that the implementation methods of the present invention are not limited to the forms given above. After reading this application document, those skilled in the art can make any possible improvements, substitutions and equivalent forms to the steps, methods, systems and components in the above implementation methods. These improvements, substitutions and equivalent forms should be deemed to fall within the scope of the present invention, and the protection scope of the present invention is subject only to the claims.

Claims

1. A method for analyzing the carbon sensitivity of a direct-connected unit, characterized in that: include: Create a full-scale topology model of the power grid based on the graph database; Simplifying the full power grid topology model to obtain a power grid power supply relationship graph model; Calculating the total power supply power of the target station based on the power grid power supply relationship diagram model; The dynamic electric-carbon sensitivity of the target station directly connected units is calculated based on the total power supply power.

2. The method for analyzing the carbon sensitivity of a direct-connected unit according to claim 1, characterized in that: The creation of a full-scale topology graph model of a power grid based on a graph database includes: Obtain full topology model data and measurement data within the power grid area; A full-scale topology graph model of a power grid is created based on the full-scale topology model data and the measurement data.

3. The method for analyzing the carbon sensitivity of a direct-connected unit according to claim 2, characterized in that: The full topology model data includes equipment, lines, organizational levels and measurement points of all stations in the power grid, and the full topology model data is updated as the actual power grid connection relationship changes.

4. The method for analyzing the carbon sensitivity of a direct-connected unit according to claim 2, characterized in that: The measurement data includes voltage, current and power monitored in real time in the power system.

5. The method for analyzing the carbon sensitivity of a direct-connected unit according to claim 2, characterized in that: The creating a full-scale topology graph model of a power grid based on the full-scale topology model data and the measurement data comprises: Creating a plurality of data nodes based on the full topology model data and the measurement data; Creating an edge according to the relationship between the full topology model data and the measurement data; The edges are used to associate the plurality of data nodes to obtain a full-scale topology graph model of the power grid.

6. The method for analyzing the carbon sensitivity of a direct-connected unit according to claim 1, characterized in that: The simplification of the full power grid topology model to obtain a power grid power supply relationship graph model includes: A station node, a unit node, a load node and a transmission line node are selected from each data node of the full power grid topology model, and the station node is associated with the unit node, the load node and the transmission line node respectively to obtain a power grid power supply relationship diagram model.

7. The method for analyzing the carbon sensitivity of a direct-connected unit according to claim 1, characterized in that: The calculating the total power supply power of the target station based on the power supply relationship diagram model of the power grid includes: Determine a target station node and a unit node associated with the target station node, a negative load node, and a transmission line node with negative transmission power based on the power grid power supply relationship graph model; The input power of the unit node, the negative load node and the transmission line node with negative transmission power is calculated respectively, and the input power of each node is accumulated to the target station node to obtain the total power supply power of the station. The calculation formula of the total power supply power of the station is: P k =∑P U,k,0,α +abs(∑P L,k,0,β )+abs(∑P LT,k,0,γ ) Where P K is the total power supply of the target station, P U,k,0,α is the input power of the αth unit of the target station, P L,k,0,β is the βth negative load input power of the target station, P LT,k,0,γ is the input power of the γth transmission line node with negative transmission power at the target station.

8. The method for analyzing the carbon sensitivity of a direct-connected unit according to claim 7, characterized in that: Calculating the dynamic electric carbon sensitivity of the target station directly connected unit based on the total power supply power includes: Determine the directly connected units of the target station based on the power grid power supply relationship diagram model; The dynamic electric carbon sensitivity of the direct-connected unit of the target station is calculated according to the input power of the direct-connected unit and the total power supply power of the target station, and the calculation formula is: C n =e n ×r n e n =P U,k,0,α / P k Among them, C n is the dynamic carbon sensitivity of the target station directly connected unit, ε n The target station S k The sensitivity of the αth directly connected unit, ρ n It is the carbon emission factor benchmark value corresponding to different unit types.

9. The method for analyzing the carbon sensitivity of a direct-connected unit according to claim 1, characterized in that: The method further comprises: The dynamic electro-carbon sensitivity is visualized.

10. The method for analyzing the carbon sensitivity of a direct-connected unit according to claim 9, characterized in that: The visual display of the dynamic electro-carbon sensitivity comprises: Based on the power grid power supply relationship diagram model, color coding is used to visualize the dynamic electric carbon sensitivity.

11. The method for analyzing the carbon sensitivity of a direct-connected unit according to claim 1, characterized in that: The method further comprises: A threshold value is set for the dynamic carbon sensitivity. When the dynamic carbon sensitivity exceeds a preset threshold value, the unit corresponding to the dynamic carbon sensitivity exceeding the threshold value is highlighted.

12. An analysis system for carbon sensitivity of a direct-connected unit, characterized in that: include: A power grid full topology graph model creation module is used to create a power grid full topology graph model based on a graph database; A power grid power supply relationship graph model creation module is used to simplify the power grid full topology graph model to obtain a power grid power supply relationship graph model; A station power supply total power calculation module, used to calculate the total power supply power of the target station based on the power supply relationship diagram model of the power grid; The electric-carbon sensitivity calculation module is used to calculate the dynamic electric-carbon sensitivity of the target station directly connected unit based on the total power supply power.

13. The analysis system for carbon sensitivity of a direct-connected unit according to claim 12, characterized in that: The power grid full topology model creation module also includes: Data access module, used to obtain full topology model data and measurement data in the power grid area; A data node creation module, used to create multiple data nodes based on the full topology model data and the measurement data; An edge creation module, used for creating edges according to the relationship between the full topology model data and the measurement data; A topology graph model generation module is used to associate the plurality of data nodes using the edges to obtain a full-scale topology graph model of the power grid.

14. The analysis system for carbon sensitivity of a direct-connected unit according to claim 12, characterized in that: The station power supply total power calculation module also includes: A node screening module, used to determine a target station node and a unit node associated with the target station node, a negative load node and a transmission line node with negative transmission power based on the power grid power supply relationship graph model; The power calculation module is used to calculate the input power of the unit node, negative load node and transmission line node with negative transmission power respectively, and add the input power of each type of node to the target station node to obtain the total power supply power of the station.

15. The analysis system for carbon sensitivity of a direct-connected unit according to claim 12, characterized in that: The electric carbon sensitivity calculation module also includes: A directly connected unit search module, used to determine the directly connected units of the target station based on the power supply relationship diagram model of the power grid; The dynamic carbon-to-electricity sensitivity calculation module is used to calculate the dynamic carbon-to-electricity sensitivity of the direct-connected unit of the target station according to the input power of the direct-connected unit and the total power supply power of the target station.

16. The analysis system for electric carbon sensitivity of a direct-connected unit according to claim 12, characterized in that: The system further comprises: A visualization module is used to visualize the dynamic electro-carbon sensitivity.

17. The analysis system for carbon sensitivity of a direct-connected unit according to claim 12, characterized in that: The system further comprises: A threshold setting module is used to set a threshold for the dynamic electro-carbon sensitivity.

18. A computer device, characterized in that: The computer device includes a processor and a memory, wherein a computer program is stored in the memory, and the computer program is loaded and executed by the processor to implement the graph-based calculation-based carbon sensitivity analysis method for direct-connected units as described in any one of claims 1 to 11.

19. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which is loaded and executed by a processor to implement the graph-based calculation-based carbon sensitivity analysis method for direct-connected units as described in any one of claims 1 to 11.

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