CN116187870A - Method, device, equipment and storage medium for tracing carbon track of electric power system - Google Patents

Abstract

The application relates to the technical field of power systems and carbon emission, in particular to a method, a device, equipment and a storage medium for tracing carbon tracks of a power system. Comprising the following steps: acquiring related data of a power system; carrying out power grid topology decomposition by utilizing the related data of the power grid structure to obtain a node topology model of the power system; the method comprises the steps of obtaining power generation carbon emission intensity data and injection node data of a generator set through power flow analysis by using injection nodes; obtaining the carbon intensity of the network node by using the power grid tide data and the power generation carbon emission intensity data of the generator set; and tracing the carbon track of the power system by utilizing the carbon intensity of the network node and the output node to obtain the carbon emission data of each power load. The method and the device are beneficial to solving the problem that the real-time data reference cannot be provided for the establishment of policies such as energy conservation, carbon reduction and the like due to the fact that the data collection difficulty is high and hysteresis is caused in carbon emission.

Description

Method, device, equipment and storage medium for traceability of power system carbon trajectory

technical field

The present application relates to the technical field of electric power system and carbon emission, and in particular to a method, device, equipment and storage medium for tracing the carbon trajectory of electric power system.

Background technique

In the existing technology, when analyzing the carbon emission intensity and carbon emission associated with the user's electricity consumption behavior through tracking the carbon emission trend in the power network, the regional carbon emission is carried out according to the data such as energy consumption and electricity in each region The calculation of carbon emissions can only be based on months or years, data collection is difficult, and the results of carbon emissions are lagging behind, which cannot provide real-time data reference for the formulation of policies such as energy conservation and carbon reduction.

That is to say, in the existing technology, carbon emissions cannot provide real-time data reference for the formulation of policies such as energy conservation and carbon reduction because of the difficulty and lag of data collection.

Contents of the invention

In order to overcome at least to a certain extent the problem of carbon emissions in related technologies due to the difficulty of data collection and lag, which leads to the inability to provide real-time data reference for the formulation of policies such as energy conservation and carbon reduction, this application provides the traceability of the carbon trajectory of the power system Method, device, equipment and storage medium.

The scheme of this application is as follows:

In the first aspect, the present application provides a method for tracing the carbon trajectory of a power system, and the method includes:

Obtain power system-related data, including: grid structure-related data and grid power flow data;

Using the data related to the grid structure, performing grid topology decomposition to obtain a power system node topology model, the nodes of the power system node topology model include: injection nodes and output nodes;

Wherein, the injection nodes include: generator sets and swing nodes;

Using the injection node, through power flow analysis, the power generation carbon emission intensity data and injection node data of the generating set are obtained;

Obtaining the carbon intensity of the network nodes by using the power flow data, the carbon emission intensity data of the generator set and the injection node data;

The carbon intensity of the network nodes and the output nodes are used to trace the carbon trajectory of the power system to obtain the carbon emission data of each power load.

Further, the power grid structure-related data is used to decompose the grid topology to obtain a power system node topology model, including:

Using the data related to the power grid structure, using a node model, to describe the connection relationship of the power system;

Using the data related to the grid structure and the connection relationship of the power system, a search algorithm is used to generate a bus model and topological island information to obtain a power system node topology model.

Further, the carbon intensity of the network nodes is obtained by using the grid power flow data, the carbon emission intensity data of the generating units and the injection node data, including:

Using the grid power flow data and the power generation carbon emission intensity data of the generating units, through the power flow sharing principle and the complex power tracing method, the carbon trajectory distribution data of all lines in the entire network is calculated to obtain the carbon intensity of the entire network nodes.

In the second aspect, the present application provides a device for tracing the carbon trajectory of a power system, which includes:

The acquisition module is used to acquire power system-related data, and the power system-related data includes: grid structure-related data and grid power flow data;

A network topology analysis module, configured to use the data related to the grid structure to decompose the grid topology to obtain a power system node topology model. The nodes of the power system node topology model include: injection nodes and output nodes;

Wherein, the injection nodes include: generator sets and swing nodes;

The power flow analysis module is used to use the injection node to obtain the power generation carbon emission intensity data and injection node data of the generating set through power flow analysis;

The power flow traceability decomposition module is used to obtain the carbon intensity of network nodes by using the power flow data, the power generation carbon emission intensity data of the generating set and the injection node data;

The carbon emission tracing module is used to trace the carbon trajectory of the power system by using the carbon intensity of the network node and the output node, and obtain the carbon emission data of each electricity load.

In a third aspect, the present application provides a device for tracing the carbon trajectory of a power system, and the device includes: a memory on which an executable program is stored;

A processor, configured to execute the executable program in the memory, so as to implement the steps of any one of the methods described above.

In a fourth aspect, the present application provides a computer-readable storage medium, which is characterized in that the computer-readable storage medium stores computer instructions, and the computer instructions are used to cause a computer to execute the steps of any one of the methods described above.

The technical solution provided by this application may include the following beneficial effects:

This application obtains the relevant data of the power system; uses the relevant data of the power grid structure to decompose the topology of the power grid to obtain the topological model of the power system nodes; uses the injection nodes to analyze the power flow to obtain the carbon emission intensity data of the generator set and the data of the injection nodes; Use the power flow data and the carbon emission intensity data of power generation units to obtain the carbon intensity of network nodes; use the carbon intensity of network nodes and output nodes to trace the carbon trajectory of the power system to obtain the carbon emission data of each power load. This application helps to solve the problem that carbon emissions cannot provide real-time data reference for the formulation of policies such as energy conservation and carbon reduction due to the difficulty and lag of data collection.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.

Description of drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description serve to explain the principles of the application.

Figure 1 is a schematic flow chart of a method for tracing the carbon trajectory of a power system provided by an embodiment of the present application;

Fig. 2 is a schematic diagram of the composition of the device for tracing the carbon trajectory of the power system provided by another embodiment of the present application;

Fig. 3 is a schematic diagram of an equipment group for tracing the carbon trajectory of a power system provided by another embodiment of the present application.

Detailed ways

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.

Embodiment one

Please refer to Fig. 1. Fig. 1 is a schematic flow chart of a method for tracing the carbon trajectory of a power system provided by an embodiment of the present application. The method includes:

S1. Acquire power system related data, power system related data include: grid structure related data and grid power flow data;

S2. Using the data related to the power grid structure, perform power grid topology decomposition to obtain a power system node topology model, the nodes of the power system node topology model include: injection nodes and output nodes;

Wherein, the injection nodes include: generator sets and swing nodes;

S3. Using the injection node, through power flow analysis, the power generation carbon emission intensity data and injection node data of the generating set are obtained;

S4. Obtain the carbon intensity of the network node by using the power flow data, the carbon emission intensity data of the generating set and the injection node data;

S5. Use the carbon intensity of the network node and the output node to trace the carbon trajectory of the power system to obtain the carbon emission data of each power load

In one embodiment, as described in step S2, the grid structure-related data is used to decompose the grid topology to obtain a power system node topology model, including:

Use the relevant data of the power grid structure and adopt the node model to describe the connection relationship of the power system;

Using the data related to the power grid structure and the connection relationship of the power system, the bus model and topological island information are generated through the search algorithm, and the node topology model of the power system is obtained.

In one embodiment, as described in step S3, the carbon emission intensity data of the power generation unit and the data of the injection node are obtained by using the injection node through power flow analysis, including:

Prepare data related to the grid structure and data related to equipment parameters;

Obtain voltage, power, line loss and other grid operating parameters by using the data related to the grid structure and equipment parameters;

By using the injection node, the power flow analysis is performed on the operation parameters of the power grid to obtain the carbon emission intensity data of the generating set and the data of the injection node.

In one embodiment, as described in step S4, the carbon intensity of the network node is obtained by using the grid power flow data and the carbon emission intensity data of the generating set, including:

Using the grid power flow data and the carbon emission intensity data of power generation units, through the power flow sharing principle and the complex power tracing method, the carbon trajectory distribution data of all lines in the entire network is calculated to obtain the carbon intensity of the entire network nodes.

In the specific implementation, the carbon tidal current intensity calculation model is constructed through the power flow sharing principle and the complex power tracing method. By solving the model, the carbon trajectory distribution data of all lines in the entire network is calculated to obtain the carbon intensity of the entire network nodes.

It should be noted that the specific calculation model of carbon tidal current intensity is as follows:

The specific calculation model of carbon tidal current intensity is as follows:

1) The carbon intensity GCI (generation carbon intensity) (gCO ₂ /kWh or tCO ₂ /MWh) of all individual generating sets is determined by its own carbon dioxide emission factor and its coal consumption (or other official standards), GCI describes The relationship between electricity production and injected carbon flows. For a power plant with multiple generating units, its carbon intensity is, as shown in Equation 1:

Among them, K _p is the number of generating units in the power plant, P _Gi and e _Gi are the active output and carbon intensity of unit i, respectively.

2) Calculate the carbon flow of the injection node.

R表示单位时间内的碳潮流，F为碳潮流。Define carbon flow rate

R represents the carbon current per unit time, and F is the carbon current.

其中G和P分别为电量和有功功率。Define Node Carbon Intensity

Among them, G and P are electricity and active power, respectively.

Calculate the carbon flow rate matrix, as shown in Equation 2:

R _G ＝P _G e _g (2)

Among them, R _G and e _g are respectively the carbon flow rate vector and the carbon intensity matrix of the injection node, _{and PG} is the power distribution matrix. _PG is an n×k matrix, which contains the topological position information and power information of the generator set, _PGnk represents the power injected by the k-th unit at the n-th node, R _G is an N-dimensional vector, and E _G is a K-dimensional vector , indicating the carbon flow rate and carbon intensity of the generator set.

3) Calculate the node output carbon intensity, as shown in Equation 3.

The carbon intensity of the i-th node in the system is:

Among them, I ⁺ represents the line that injects power into node i, and ρ _s is the carbon intensity of line s, rewritten into a matrix form, as shown in Equation 4:

是第i个节点的N维行向量；P_N为节点流出有功功率矩阵。P′ _B is an N-order matrix, which represents the power flow distribution matrix of the line; E _N is an N-dimensional row vector, which represents the carbon intensity of the node output;

is the N-dimensional row vector of the i-th node; P _N is the outflow active power matrix of the node.

Arranged, as shown in formula (5)

On this basis, the carbon emission data of all nodes can be calculated by combining the power generation data (power and electricity data).

In the embodiment of this application, the electric energy in the power system is transmitted in the network in the form of electric power flow, and the corresponding carbon emissions of the electric energy also flow in the network along with the electric power flow. Through the tracking of the carbon emission trend in the power network, the carbon emission intensity and carbon emission associated with the user's electricity consumption behavior are analyzed.

It should be noted that, considering the different carbon intensity of different output nodes, in the tracking process, according to the distribution of power flow in the power grid, the proportion of power sources on each branch and each node is tracked, combined with the corresponding carbon intensity, accurate Form the carbon intensity of each node and each branch, and complete the tracking of the carbon trajectory of the entire network.

Embodiment two

Please refer to Figure 2, Figure 2 is a schematic diagram of the composition of the device for tracing the carbon trajectory of the power system provided by another embodiment of the present application, and the device includes:

An acquisition module 101, configured to acquire power system related data, the power system related data includes: grid structure related data and grid power flow data;

The network topology analysis module 102 is configured to use the related data of the grid structure to decompose the grid topology to obtain a power system node topology model, and the nodes of the power system node topology model include: injection nodes and output nodes;

Wherein, the injection nodes include: generator sets and swing nodes;

The power flow analysis module 103 is configured to use the injection node to obtain the power generation carbon emission intensity data and injection node data of the generating set through power flow analysis;

The power flow traceability decomposition module 104 is used to obtain the carbon intensity of network nodes by using the power flow data, the power generation carbon emission intensity data of the generating set and the injection node data;

The carbon emission traceability module 105 is used to trace the carbon trajectory of the power system by using the carbon intensity of the network node and the output node, and obtain the carbon emission data of each electricity load. Embodiment Three

Please refer to Fig. 3, Fig. 3 is a schematic diagram of the equipment set for tracing the carbon trajectory of the power system provided by another embodiment of the present application, and the equipment includes:

Memory 31, on which executable programs are stored;

The processor 32 is configured to execute the executable program in the memory 31, so as to implement the steps of any one of the methods described above.

In addition, the present application provides a computer-readable storage medium, the computer-readable storage medium stores computer instructions, and the computer instructions are used to cause a computer to execute the steps of any one of the methods described above. Wherein, the storage medium can be a magnetic disk, an optical disk, a read-only memory (Read-Only Memory, ROM), a random access memory (Random Access Memory, RAM), a flash memory (Flash Memory), a hard disk (Hard Disk Drive) , abbreviation: HDD) or a solid-state hard drive (Solid-State Drive, SSD), etc.; the storage medium may also include a combination of the above-mentioned types of memory.

It can be understood that, the same or similar parts in the above embodiments can be referred to each other, and the content that is not described in detail in some embodiments can be referred to the same or similar content in other embodiments.

It should be noted that, in the description of the present application, terms such as "first" and "second" are used for description purposes only, and should not be understood as indicating or implying relative importance. In addition, in the description of the present application, unless otherwise specified, the meaning of "plurality" means at least two.

Any process or method descriptions in flowcharts or otherwise described herein may be understood to represent modules, segments or portions of code comprising one or more executable instructions for implementing specific logical functions or steps of the process , and the scope of preferred embodiments of the present application includes additional implementations in which functions may be performed out of the order shown or discussed, including in substantially simultaneous fashion or in reverse order depending on the functions involved, which shall It should be understood by those skilled in the art to which the embodiments of the present application belong.

It should be understood that each part of the present application may be realized by hardware, software, firmware or a combination thereof. In the embodiments described above, various steps or methods may be implemented by software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented by any one or combination of the following techniques known in the art: Discrete logic circuits, ASICs with suitable combinational logic gates, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

Those of ordinary skill in the art can understand that all or part of the steps carried by the methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed , including one or a combination of the steps of the method embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing module, each unit may exist separately physically, or two or more units may be integrated into one module. The above-mentioned integrated modules can be implemented in the form of hardware or in the form of software function modules. If the integrated modules are realized in the form of software function modules and sold or used as independent products, they can also be stored in a computer-readable storage medium.

The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, and the like.

In the description of this specification, descriptions referring to the terms "one embodiment", "some embodiments", "example", "specific examples", or "some examples" mean that specific features described in connection with the embodiment or example , structure, material or characteristic is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limitations on the present application, and those skilled in the art can make the above-mentioned The embodiments are subject to changes, modifications, substitutions and variations.

Claims (6)

1. The method for tracing the carbon track of the electric power system is characterized by comprising the following steps:

acquiring power system related data, the power system related data including: grid structure related data and grid power flow data;

and carrying out power grid topology decomposition by utilizing the related data of the power grid structure to obtain a power system node topology model, wherein nodes of the power system node topology model comprise: injection nodes and output nodes;

wherein the injection node comprises: the generator set and the swing node;

obtaining the generated carbon emission intensity data and the injection node data of the generator set through power flow analysis by utilizing the injection nodes;

obtaining the carbon intensity of a network node by using the power grid tide data, the power generation carbon emission intensity data of the generator set and the injection node data;

and carrying out carbon track tracing on the electric power system by utilizing the carbon intensity of the network node and the output node to obtain carbon emission data of each electric load.

2. The method according to claim 1, wherein said performing a power grid topology decomposition using said power grid structure related data to obtain a power system node topology model comprises:

describing the connection relation of the power system by using the related data of the power grid structure and adopting a node model;

and generating a bus model and topology island information by using the related data of the power grid structure and the connection relation of the power system through a search algorithm to obtain a node topology model of the power system.

3. The method of claim 1, wherein using the grid power flow data and the power generation carbon emission intensity data and injection node data of the generator set to obtain the carbon intensity of the network node comprises:

and calculating carbon track distribution data of all lines of the whole network by using the power flow data of the power grid and the power generation carbon emission intensity data of the generator set through a flow sharing principle and a complex power tracing method to obtain the carbon intensity of nodes of the whole network.

4. Device for tracking carbon track of electric power system, characterized in that, the device includes:

the acquisition module is used for acquiring power system related data, and the power system related data comprises: grid structure related data and grid power flow data;

the network topology analysis module is used for carrying out power grid topology decomposition by utilizing the related data of the power grid structure to obtain a power system node topology model, and the nodes of the power system node topology model comprise: injection nodes and output nodes;

wherein the injection node comprises: the generator set and the swing node;

the power flow analysis module is used for obtaining the power generation carbon emission intensity data and the injection node data of the generator set through power flow analysis by utilizing the injection nodes;

the tide tracing decomposition module is used for obtaining the carbon intensity of the network node by utilizing the power grid tide data, the power generation carbon emission intensity data of the generator set and the injection node data;

and the carbon emission tracing module is used for tracing the carbon track of the power system by utilizing the carbon intensity of the network node and the output node to obtain the carbon emission data of each power load.

5. An apparatus for tracking carbon trajectories in an electrical power system, the apparatus comprising:

a memory having an executable program stored thereon;

a processor for executing the executable program in the memory to implement the steps of the method of any one of claims 1-3.

6. A computer readable storage medium having stored thereon computer instructions for causing a computer to perform the steps of the method according to any of claims 1-3.

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