Calculation method for carbon flow analysis traceability based on source-network-load-storage integration

Abstract

The invention provides a carbon flow analysis traceability calculation method based on source network load storage integration, and relates to the technical field of data processing, and the method comprises the steps: obtaining the carbon emission data of various types of energy from a power supply side at a power grid side, and calculating the carbon emission in a power grid transmission process according to a carbon loss factor in the power grid transmission process; on the load side, carbon emission in the power grid transmission process is obtained, and the carbon emission on the load side is calculated according to the carbon consumption factors of the loads; and at the energy storage side, obtaining the carbon emission in the power grid transmission process and the carbon emission at the load side, and calculating the carbon emission at the energy storage side according to the charging and discharging efficiency of the energy storage equipment and the corresponding carbon emission factor. According to the method, the data processing efficiency is improved, errors caused by manual operation are reduced, and the data accuracy is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a calculation method based on carbon flow analysis and tracing based on source-grid-load-storage integration. Background Art

[0002] As a comprehensive energy system that integrates power supply, power grid, load and energy storage, the source-grid-load-storage integrated system has significant advantages in improving energy efficiency and optimizing energy structure. However, the carbon emissions of this system are complex, involving multiple links and multiple energy types. Therefore, accurate carbon flow analysis and traceability are crucial.

[0003] However, the traditional technical solutions have the following defects in data processing, which are mainly reflected in the following aspects: For example, traditional carbon emission data collection and processing methods may still be scattered, and data from various links have not been effectively integrated, which can easily lead to an inability to fully and accurately understand the carbon emissions of the entire system. In addition, due to the lack of unified calculation standards and refined data processing methods, traditional solutions may have large errors when calculating carbon emissions and cannot provide a reliable basis for decision-making. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a calculation method for carbon flow analysis and tracing based on integrated source-grid-load-storage, which improves the efficiency of data processing, reduces the errors caused by human operations, and improves the accuracy of data.

[0005] In order to solve the above technical problems, the technical solution of the present invention is as follows: In a first aspect, a calculation method based on carbon flow analysis and tracing based on source-grid-load-storage integration is provided, the method comprising: On the power supply side, the carbon emission data of various energy sources are calculated through the carbon emission factors of fossil energy, renewable energy and distributed energy, and the carbon emission data of various energy sources are transmitted to the grid side; On the grid side, obtain the carbon emission data of various energy sources from the power supply side, and calculate the carbon emission during the grid transmission process based on the carbon loss factor during the grid transmission process; On the load side, obtain the carbon emissions during the transmission process of the power grid, and calculate the carbon emissions on the load side based on the carbon consumption factors of various loads; On the energy storage side, the carbon emissions during grid transmission and the carbon emissions on the load side are obtained, and the carbon emissions on the energy storage side are calculated based on the charging and discharging efficiency of the energy storage equipment and the corresponding carbon emission factor; Based on the carbon emissions from the power supply side, grid side, load side and energy storage side, carbon flow analysis and tracing are carried out to obtain the carbon emissions of the entire integrated source-grid-load-storage system.

[0006] Furthermore, the carbon emission data of various energy sources are calculated through the carbon emission factors of fossil energy, renewable energy and distributed energy, including: Obtain consumption data of fossil energy, renewable energy and distributed energy; According to the fossil energy consumption data, Calculate carbon emissions from fossil energy, where: represents the total carbon dioxide emissions, represents the consumption of the i-th fuel; represents the carbon content per unit mass of the i-th fuel; represents the carbon oxidation rate of the i-th fuel; represents the combustion efficiency factor of the i-th fuel; represents the environmental correction factor; represents the carbon emissions from fuel extraction; Indicates the carbon emissions during fuel processing; represents the carbon emissions during fuel transportation, i is an index variable; n is the upper limit of the summation, indicating the number of elements in the set; i changes from 1 to n during the summation process, increasing by 1 each time until n is reached.

[0007] Furthermore, the carbon emission data of various energy sources are calculated through the carbon emission factors of fossil energy, renewable energy and distributed energy, including: According to the renewable energy consumption and the carbon emission factor of renewable energy, Calculating Carbon Emissions from Renewable Energy ,in, represents the renewable energy consumption; represents the renewable energy base carbon emission factor; Indicates the weight of the equipment; represents the manufacturing carbon emission factor; Indicates the transport distance; represents the transport carbon emission factor; Indicates the number of maintenance times; represents the maintenance carbon emission factor; According to the distributed energy consumption and the carbon emission factor of distributed energy, Calculating Carbon Emissions from Distributed Energy ,in, Indicates fuel consumption; represents the fuel carbon emission factor; Indicates operating efficiency; Indicates the running time; Represents the carbon emission factor per unit time.

[0008] Furthermore, the carbon emission data of various energy sources are transmitted to the grid side, including: The carbon emissions of renewable energy and distributed energy are divided according to time, energy type and geographical location attributes to form multiple data blocks, each of which contains data with similar attributes; Determine the number of clusters K, and randomly determine K data points as the initial cluster centers; For each data point in the data block, calculate the distance between it and each cluster center, and assign the data point to the cluster represented by the corresponding cluster center; for each cluster, calculate the average value of all data points within it, and use the average value as the new cluster center; Repeat the steps until the preset number of iterations is reached. In each iteration, the cluster affiliation and cluster center of the data points are updated to make the data points within each cluster similar and the data points between different clusters different. After the iteration is completed, the final clustering result is obtained. According to the final clustering results, encapsulate the data of each category into a standard format and mark its attributes; The encapsulated and marked data is transmitted to the power grid side in real time.

[0009] Furthermore, for each data point in the data block, the distance between it and each cluster center is calculated, including: For each data point in the data block, Calculate the distance between it and each cluster center, where and are the coordinates of the data point P, and are the coordinates of the cluster center C, and as a parameter.

[0010] Furthermore, the carbon emission data of various energy sources from the power supply side is obtained, and the carbon emission during the power grid transmission process is calculated based on the carbon loss factor during the power grid transmission process, including: The received carbon emission data is integrated with the relevant information on the power supply side to obtain integrated data; Analyze the fused data to obtain the carbon emissions on the power supply side, including the carbon emissions of different power generation types and the time distribution of carbon emissions; According to the carbon emission data and carbon loss factor on the power supply side, Calculate the carbon emissions during power grid transmission, where: Indicates the carbon emissions during power grid transmission; Indicates the original carbon emissions on the power supply side; represents the segment transmission loss factor, Indicates The power loss of the segment, is the total power generation of the power plant; represents the transformer efficiency product, Indicates The efficiency of each transformer; represents the voltage conversion and receiving efficiency correction factor, is the amount of electricity received by the user, is the amount of electricity transmitted by the power plant, is the voltage conversion efficiency, is a counter used to sum the symbols Mark a specific item in the total number of items currently being added; Indicates the total number of power loss segments during transmission; Change from 1 to , to traverse the power loss segment during the transmission process; is a counter used to calculate the Mark the specific item in the total number of items currently being multiplied below, m represents the total number of transformers in the power grid, Change from 1 to m to traverse all transformers in the power grid.

[0011] Furthermore, based on the carbon emissions on the power supply side, grid side, load side and energy storage side, carbon flow analysis and tracing are carried out to obtain the carbon emissions of the entire source-grid-load-storage integrated system, including: According to the carbon emissions of the power supply side, grid side, load side and energy storage side, Calculate the carbon emissions of the entire integrated source-grid-load-storage system; in, Represents the total carbon emissions of the entire system; , , , , , and is the adjustment factor; Indicates the carbon emissions on the grid side; Indicates the carbon emissions on the load side; Indicates the carbon emission efficiency of the load, which indicates the load power generated per unit carbon emission; Indicates the running time of the load; Indicates the power factor of the load; Represents the carbon emissions of the energy storage system; Indicates the charging and discharging efficiency of the energy storage system; Indicates the capacity of the energy storage system; Indicates the service life of the energy storage system.

[0012] In the second aspect, a computing system based on source-grid-load-storage integrated carbon flow analysis and traceability includes: The acquisition module is used to calculate the carbon emission data of various energy sources on the power supply side through the carbon emission factors of fossil energy, renewable energy and distributed energy, and transmit the carbon emission data of various energy sources to the power grid side; on the power grid side, the carbon emission data of various energy sources from the power supply side is obtained, and the carbon emission in the power grid transmission process is calculated according to the carbon loss factor in the power grid transmission process; The processing module is used to obtain the carbon emissions in the grid transmission process on the load side, and calculate the carbon emissions on the load side according to the carbon consumption factors of various loads; on the energy storage side, the carbon emissions in the grid transmission process and the carbon emissions on the load side are obtained, and the carbon emissions on the energy storage side are calculated according to the charging and discharging efficiency of the energy storage equipment and the corresponding carbon emission factors; based on the carbon emissions on the power supply side, grid side, load side and energy storage side, carbon flow analysis and tracing are carried out to obtain the carbon emissions of the entire source-grid-load-storage integrated system.

[0013] According to a third aspect, a computing device includes: one or more processors; The storage device is used to store one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the method described.

[0014] In a fourth aspect, a computer-readable storage medium stores a program, and when the program is executed by a processor, the method described is implemented.

[0015] The above scheme of the present invention includes at least the following beneficial effects.

[0016] This method divides the power system into the power supply side, grid side, load side and energy storage side, and calculates and analyzes carbon emissions for each link, which helps companies to more accurately identify the main sources and key links of carbon emissions, thereby formulating more effective carbon emission reduction strategies.

[0017] The present invention realizes the automatic integration and processing of carbon emission data in each link, which not only improves the efficiency of data processing, but also reduces the errors caused by human operation and improves the accuracy of data. By real-time monitoring and recording of carbon emission data, and conducting carbon flow analysis and tracing, this method enables enterprises to intuitively see their own carbon emissions and their impact on the environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1It is a flow chart of a calculation method for carbon flow analysis and tracing based on source-grid-load-storage integration provided by an embodiment of the present invention.

[0019] Figure 2 It is a schematic diagram of a computing system based on source-grid-load-storage integrated carbon flow analysis and tracing provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0020] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0021] like Figure 1 As shown, an embodiment of the present invention proposes a calculation method based on source-grid-load-storage integrated carbon flow analysis and tracing, and the method includes the following steps: Step 11: On the power supply side, the carbon emission data of each energy source is calculated through the carbon emission factors of fossil energy, renewable energy and distributed energy, and the carbon emission data of each energy source is transmitted to the power grid side; Step 12: on the grid side, obtain the carbon emission data of various energy sources from the power supply side, and calculate the carbon emission during the grid transmission process according to the carbon loss factor during the grid transmission process; Step 13, on the load side, obtain the carbon emissions during the transmission process of the power grid, and calculate the carbon emissions on the load side according to the carbon consumption factors of various loads; Step 14: on the energy storage side, obtain the carbon emissions during the transmission process of the power grid and the carbon emissions on the load side, and calculate the carbon emissions on the energy storage side according to the charging and discharging efficiency of the energy storage equipment and the corresponding carbon emission factor; Step 15, based on the carbon emissions on the power supply side, grid side, load side and energy storage side, conduct carbon flow analysis and traceability to obtain the carbon emissions of the entire source-grid-load-storage integrated system.

[0022] In the embodiment of the present invention, step 11, by considering the carbon emission factors of fossil energy, renewable energy and distributed energy, the carbon emissions of various energy sources can be accurately calculated; the carbon emission data of various energy sources are transmitted to the grid side, which is helpful to realize data integration and analysis in a wider system. Step 12, by considering the carbon loss factor in the grid transmission process, the environmental impact of the power transmission process can be more comprehensively evaluated, thereby optimizing the grid operation strategy, reducing unnecessary carbon emissions, and analyzing carbon emissions from the perspective of the grid side, which is helpful to understand the carbon footprint of the entire power system. Step 13, by calculating the carbon emissions on the load side, the environmental impact of the power consumption end can be deeply understood; the accurate calculation of the carbon emissions on the load side is helpful to implement more effective demand side management strategies. Step 14, by considering the charging and discharging efficiency of the energy storage equipment and the corresponding carbon emission factors, the impact of the energy storage link on the environment can be more accurately evaluated; including the energy storage side in the calculation range of carbon emissions is helpful to analyze the carbon emissions of the power system from the perspective of the whole chain. Step 15, by integrating the carbon emission data of the power supply side, the grid side, the load side and the energy storage side, the carbon emissions of the entire source-grid-load-storage integrated system can be comprehensively analyzed.

[0023] In a preferred embodiment of the present invention, the above step 11 may include: Obtain consumption data of fossil energy, renewable energy and distributed energy; According to the fossil energy consumption data, Calculate carbon emissions from fossil energy, where: represents the total carbon dioxide emissions, represents the consumption of the i-th fuel; represents the carbon content per unit mass of the i-th fuel; represents the carbon oxidation rate of the i-th fuel; represents the combustion efficiency factor of the i-th fuel; represents the environmental correction factor; represents the carbon emissions from fuel extraction; Indicates the carbon emissions during fuel processing; represents the carbon emissions during fuel transportation, i is an index variable; n is the upper limit of the summation, indicating the number of elements in the set; i changes from 1 to n during the summation process, increasing by 1 each time until n is reached.

[0024] In the embodiment of the present invention, a variety of factors are comprehensively considered, such as fuel consumption, carbon content per unit mass, carbon oxidation rate, combustion efficiency factor and environmental correction factor, etc., so that the carbon emissions of fossil energy can be calculated more accurately, which helps enterprises or institutions to understand their carbon emissions more accurately and formulate more effective emission reduction strategies. The formula not only considers carbon emissions during fuel combustion, but also carbon emissions during fuel mining, processing and transportation. This comprehensive consideration makes the calculation of carbon emissions more complete and helps to discover potential emission reduction links.

[0025] In a preferred embodiment of the present invention, the above step 11 may further include: According to the renewable energy consumption and the carbon emission factor of renewable energy, Calculating Carbon Emissions from Renewable Energy ,in, represents the renewable energy consumption; represents the renewable energy base carbon emission factor; Indicates the weight of the equipment; represents the manufacturing carbon emission factor; Indicates the transport distance; represents the transport carbon emission factor; Indicates the number of maintenance times; represents the maintenance carbon emission factor; According to the distributed energy consumption and the carbon emission factor of distributed energy, Calculating Carbon Emissions from Distributed Energy ,in, Indicates fuel consumption; represents the fuel carbon emission factor; Indicates operating efficiency; Indicates the running time; Represents the carbon emission factor per unit time.

[0026] In the embodiment of the present invention, the calculation of renewable energy carbon emissions not only considers the direct carbon emissions in the process of renewable energy consumption, but also comprehensively considers the carbon emissions in the whole life cycle of equipment manufacturing, transportation and maintenance, so as to more comprehensively evaluate the environmental impact of renewable energy. By introducing specific carbon emission factors, such as basic carbon emission factor, manufacturing carbon emission factor, transportation carbon emission factor and maintenance carbon emission factor, the carbon emissions of renewable energy can be calculated more accurately.

[0027] The calculation of carbon emissions from distributed energy introduces the parameter of operating efficiency, which can reflect the impact of the actual operating efficiency of the distributed energy system on carbon emissions, and help motivate system optimization and improve energy efficiency. By recording data such as fuel consumption, operating time, and carbon emission factors per unit time in detail, the distributed energy system can be managed in a refined manner, thereby reducing carbon emissions. Through a unified calculation method, the carbon emissions of different distributed energy systems can be made comparable, which is convenient for evaluation and optimization.

[0028] In a preferred embodiment of the present invention, the above step 11 may further include: The carbon emissions of renewable energy and distributed energy are divided according to time, energy type and geographical location attributes to form multiple data blocks, each of which contains data with similar attributes; Determine the number of clusters K, and randomly determine K data points as the initial cluster centers; For each data point in the data block, calculate the distance between it and each cluster center, and assign the data point to the cluster represented by the corresponding cluster center; for each cluster, calculate the average value of all data points within it, and use the average value as the new cluster center; Repeat the steps until the preset number of iterations is reached. In each iteration, the cluster affiliation and cluster center of the data points are updated to make the data points within each cluster similar and the data points between different clusters different. After the iteration is completed, the final clustering result is obtained. According to the final clustering results, encapsulate the data of each category into a standard format and mark its attributes; The encapsulated and marked data is transmitted to the power grid side in real time.

[0029] In an embodiment of the present invention, the carbon emission data of renewable energy and distributed energy are segmented according to time (such as day, month, year), energy type (such as solar energy, wind energy, etc.) and geographical location attributes (such as different power stations or facility locations); the segmented data forms multiple data blocks, each of which contains data points with similar attributes; the number of clusters K is determined by the silhouette coefficient method, and K data points are randomly selected as initial cluster centers; for the data points in each data block, the distances between them and each cluster center are calculated, and the data points are assigned to the corresponding clusters according to the closest distance; for each cluster, the average value of all data points within it is recalculated, and this average value is set as the new cluster center, and the above steps are repeated until a preset number of iterations is reached; each iteration will update the cluster affiliation and cluster center of the data point to ensure that the data points in the same cluster are as similar as possible, and the data points between different clusters are as different as possible; according to the final clustering result, the data of each category is encapsulated into a standard format, which is conducive to the unified processing and storage of data, and the encapsulated data is marked with attributes, such as timestamp, energy type, geographical location, etc., for subsequent data retrieval and analysis. The encapsulated and marked data is transmitted to the power grid side in real time.

[0030] In an embodiment of the present invention, through cluster analysis, a large amount of carbon emission data can be effectively classified and organized, which is convenient for data storage, retrieval and management; the clustered data is more structured, which can significantly improve the efficiency of data analysis, making the analysis of carbon emissions in a specific time period, energy type or geographical location more convenient, and the real-time transmitted data can be used to build a real-time monitoring system for carbon emissions, so as to promptly detect abnormal or unexpected carbon emissions, thereby triggering an early warning mechanism.

[0031] In a preferred embodiment of the present invention, for each data point in the data block, the distance between it and each cluster center is calculated, including: For each data point in the data block, Calculate the distance between it and each cluster center, where and are the coordinates of the data point P, and are the coordinates of the cluster center C, and as a parameter.

[0032] In the embodiment of the present invention, by adjusting the parameters α and β, the characteristics of different data sets can be more flexibly adapted. For example, in some cases, some dimensions of the data may be more important than other dimensions. By adjusting these parameters, different weights can be given to different dimensions, thereby better capturing the true structure of the data. and It can reduce the impact of outliers on distance calculation to a certain extent, thereby improving the robustness of the clustering algorithm. This formula introduces adjustable parameters to make the distance metric better adaptable to different types of data sets, thereby improving the accuracy of clustering. Using this improved distance metric for clustering can more effectively assign data points to the correct clusters, because the distance formula can better reflect the actual similarity between data points, thereby helping the clustering algorithm to more accurately identify the intrinsic structure of the data. In a preferred embodiment of the present invention, the above step 12 may include: Step 121, the received carbon emission data is integrated with the relevant information on the power supply side to obtain integrated data, specifically: using common key fields (such as timestamp, power plant ID, etc.) to match the carbon emission data with other information on the power supply side to ensure the consistency of the data in time, so as to accurately reflect the carbon emissions and other relevant indicators at the same time point; integrating the matched data to form a comprehensive data set containing multiple fields such as carbon emissions, power generation, and power generation type; Step 122, analyze the fused data to obtain the carbon emissions on the power supply side, including the carbon emissions of different power generation types and the time distribution of carbon emissions, for example, import the fused data into a data analysis tool or programming language. In Python, you can use the pandas library to read data files in CSV, Excel, or other formats; use visualization tools (such as matplotlib, seaborn in Python, or ggplot2 in R) to draw charts, such as scatter plots, histograms, box plots, etc., to intuitively display data features; calculate basic statistics, such as mean, median, standard deviation, quartiles, etc., to describe the central tendency and dispersion of data. In Python, you can use pandas or numpy libraries to perform these calculations; analyze the correlation between different features, such as the correlation between carbon emissions and factors such as power generation and power generation type. In Python, you can use pandas's corr() function to calculate the correlation coefficient between features; group data according to specific features (such as power generation type, time period, etc.) and calculate statistical information for each group. In Python, you can use pandas's groupby() function to group and aggregate data; if the data contains time series information (such as date, time, etc.), you can perform time series analysis to understand the trend of carbon emissions over time; Step 123, based on the carbon emission data and carbon loss factor on the power supply side, Calculate the carbon emissions during power grid transmission, where: Indicates the carbon emissions during power grid transmission; Indicates the original carbon emissions on the power supply side; represents the segment transmission loss factor, Indicates The power loss of the segment, is the total power generation of the power plant; represents the transformer efficiency product, Indicates The efficiency of each transformer; represents the voltage conversion and receiving efficiency correction factor, is the amount of electricity received by the user, is the amount of electricity transmitted by the power plant, is the voltage conversion efficiency, is a counter used to sum the symbols Mark a specific item in the total number of items currently being added; Indicates the total number of power loss segments during transmission; Change from 1 to , to traverse the power loss segment during the transmission process; is a counter used to calculate the Mark the specific item in the total number of items currently being multiplied below, m represents the total number of transformers in the power grid, Change from 1 to m to traverse all transformers in the power grid.

[0033] In an embodiment of the present invention, through the data fusion process of step 121, the carbon emission data is matched and integrated with other information on the power supply side using common key fields, thereby ensuring the temporal consistency of the data. This integration not only improves the availability of the data, but also makes the analysis results more accurate, and can truly reflect the carbon emissions and other relevant indicators at the same time point. Step 122 conducts an in-depth analysis of the fused data, including the carbon emissions of different types of power generation and the time distribution of carbon emissions. Step 123 introduces a complex calculation formula to estimate the carbon emissions during the transmission process of the power grid. The formula takes into account a variety of factors, such as segmented transmission loss, transformer efficiency, voltage conversion and receiving efficiency, so that the carbon emissions transmitted by the power grid can be calculated more accurately.

[0034] In a preferred embodiment of the present invention, the above step 13 may include: First, the calculated carbon emissions during the transmission process of the power grid are obtained from step 123; detailed data of various types of loads (such as residential electricity, commercial electricity, industrial electricity, etc.) are collected, including load type, power consumption, etc.; for different types of loads, the corresponding carbon consumption factors are determined, and the carbon consumption factors reflect the carbon emission intensity generated by different types of loads in the process of consuming electricity; based on the collected load data and the corresponding carbon consumption factors, combined with the carbon emissions during the transmission process of the power grid, the carbon emissions on the load side are calculated using the formula. For example, for a certain type of load, its carbon emissions can be calculated by multiplying its power consumption by the corresponding carbon consumption factor.

[0035] The above step 14 may include: Obtain the carbon emissions during the transmission process of the power grid and the carbon emissions on the load side from the previous steps. At the same time, collect the charging and discharging data of the energy storage device, including the charging and discharging time, power, etc. According to the type of energy storage device (such as battery, supercapacitor, etc.), determine the carbon emission factor during its charging and discharging process. This factor reflects the carbon emission intensity generated by the energy storage device during the charging and discharging process. Combined with the charging and discharging efficiency, charging and discharging power of the energy storage device and the corresponding carbon emission factor, use the formula to calculate the carbon emissions on the energy storage side. For example, for a certain charging process, its carbon emissions can be calculated by multiplying the charging power, charging efficiency and carbon emission factor.

[0036] Through detailed data collection and precise calculation methods, the carbon emissions on the load side and the energy storage side can be calculated more accurately; through detailed analysis of the carbon emissions of different types of loads and energy storage equipment, the links and equipment with higher carbon emissions can be found; through real-time monitoring and analysis of carbon emissions on the load side and the energy storage side, waste and irrationality in energy use can be discovered in a timely manner, thereby improving energy management efficiency and reducing operating costs. In a preferred embodiment of the present invention, the above step 15 may include: Step 151, according to the carbon emissions of the power supply side, the grid side, the load side and the energy storage side, Calculate the carbon emissions of the entire integrated source-grid-load-storage system; in, Represents the total carbon emissions of the entire system; , , , , , and is the adjustment factor; Indicates the carbon emissions on the grid side; Indicates the carbon emissions on the load side; Indicates the carbon emission efficiency of the load, which indicates the load power generated per unit carbon emission; Indicates the running time of the load; Indicates the power factor of the load; Represents the carbon emissions of the energy storage system; Indicates the charging and discharging efficiency of the energy storage system; Indicates the capacity of the energy storage system; Indicates the service life of the energy storage system.

[0037] In an embodiment of the present invention, step 151 can comprehensively consider the carbon emissions of each component (power side, grid side, load side, and energy storage side) in the source-grid-load-storage integrated system. Multiple adjustment coefficients are introduced in the formula, which can be adjusted according to actual conditions to reflect the importance or weight of carbon emissions of different parts. This flexibility makes the evaluation more practical and facilitates customized carbon emission management. The formula not only takes into account the carbon emissions on each side, but also introduces factors such as the carbon emission efficiency, operating time, and power factor of the load, as well as the charging and discharging efficiency, capacity, and service life of the energy storage system. This refined management helps to more accurately evaluate the contribution of each link to carbon emissions, thereby formulating more accurate emission reduction strategies.

[0038] Figure 2 As shown, an embodiment of the present invention further provides a computing system 20 based on source-grid-load-storage integrated carbon flow analysis and tracing, comprising: The acquisition module 21 is used to calculate the carbon emission data of various energy sources on the power supply side through the carbon emission factors of fossil energy, renewable energy and distributed energy, and transmit the carbon emission data of various energy sources to the power grid side; on the power grid side, obtain the carbon emission data of various energy sources from the power supply side, and calculate the carbon emission in the power grid transmission process according to the carbon loss factor in the power grid transmission process; The processing module 22 is used to obtain the carbon emissions in the grid transmission process on the load side, and calculate the carbon emissions on the load side according to the carbon consumption factors of various loads; on the energy storage side, obtain the carbon emissions in the grid transmission process and the carbon emissions on the load side, and calculate the carbon emissions on the energy storage side according to the charging and discharging efficiency of the energy storage equipment and the corresponding carbon emission factors; perform carbon flow analysis and tracing based on the carbon emissions on the power supply side, grid side, load side and energy storage side, and obtain the carbon emissions of the entire source-grid-load-storage integrated system.

[0039] It should be noted that the system is a system corresponding to the above method, and all implementation methods in the above method embodiment are applicable to this embodiment and can achieve the same technical effect.

[0040] The embodiment of the present invention further provides a computing device, comprising: a processor, a memory storing a computer program, wherein when the computer program is executed by the processor, the method described above is executed. All implementations in the above method embodiment are applicable to this embodiment and can achieve the same technical effect.

[0041] The embodiment of the present invention also provides a computer-readable storage medium storing instructions, which, when executed on a computer, enable the computer to execute the method described above. All implementations in the above method embodiment are applicable to this embodiment and can achieve the same technical effect.

[0042] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0043] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0044] In the embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, 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 through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0045] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0046] In addition, each functional unit in each embodiment of the present invention 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.

[0047] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, ROM, RAM, disk or optical disk, etc., various media that can store program codes.

[0048] In addition, it should be pointed out that in the apparatus and method of the present invention, it is obvious that each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent schemes of the present invention. Moreover, the steps of performing the above series of processing can naturally be performed in chronological order according to the order of description, but it is not necessary to perform them in chronological order, and some steps can be performed in parallel or independently of each other. For those of ordinary skill in the art, it can be understood that all or any steps or components of the method and apparatus of the present invention can be implemented in hardware, firmware, software or a combination thereof in any computing device (including processors, storage media, etc.) or a network of computing devices, which can be achieved by those of ordinary skill in the art using basic programming skills after reading the description of the present invention.

[0049] Therefore, the purpose of the present invention can also be achieved by running a program or a group of programs on any computing device. The computing device can be a well-known general device. Therefore, the purpose of the present invention can also be achieved by simply providing a program product containing a program code that implements the method or device. That is to say, such a program product also constitutes the present invention, and the storage medium storing such a program product also constitutes the present invention. Obviously, the storage medium can be any well-known storage medium or any storage medium developed in the future. It should also be pointed out that in the device and method of the present invention, it is obvious that each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent schemes of the present invention. In addition, the steps of performing the above-mentioned series of processing can naturally be performed in chronological order according to the order of description, but it is not necessary to perform them in chronological order. Some steps can be performed in parallel or independently of each other.

[0050] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A calculation method based on source-grid-load-storage integrated carbon flow analysis and traceability, characterized in that: The method comprises: On the power supply side, the carbon emission data of various energy sources are calculated through the carbon emission factors of fossil energy, renewable energy and distributed energy, and the carbon emission data of various energy sources are transmitted to the grid side; On the grid side, obtain the carbon emission data of various energy sources from the power supply side, and calculate the carbon emission during the grid transmission process based on the carbon loss factor during the grid transmission process; On the load side, obtain the carbon emissions during the transmission process of the power grid, and calculate the carbon emissions on the load side based on the carbon consumption factors of various loads; On the energy storage side, the carbon emissions during grid transmission and the carbon emissions on the load side are obtained, and the carbon emissions on the energy storage side are calculated based on the charging and discharging efficiency of the energy storage equipment and the corresponding carbon emission factor; Based on the carbon emissions from the power supply side, grid side, load side and energy storage side, carbon flow analysis and tracing are carried out to obtain the carbon emissions of the entire integrated source-grid-load-storage system.

2. The calculation method based on source-grid-load-storage integrated carbon flow analysis and traceability according to claim 1 is characterized in that: Carbon emission data of various energy sources are calculated through carbon emission factors of fossil energy, renewable energy and distributed energy, including: Obtain consumption data of fossil energy, renewable energy and distributed energy; According to the fossil energy consumption data, Calculate carbon emissions from fossil energy, where: represents the total carbon dioxide emissions, represents the consumption of the i-th fuel; represents the carbon content per unit mass of the i-th fuel; represents the carbon oxidation rate of the i-th fuel; represents the combustion efficiency factor of the i-th fuel; represents the environmental correction factor; represents the carbon emissions from fuel extraction; Indicates the carbon emissions during fuel processing; represents the carbon emissions during fuel transportation, i is an index variable; n is the upper limit of the summation, indicating the number of elements in the set; i changes from 1 to n during the summation process, increasing by 1 each time until n is reached.

3. The calculation method based on source-grid-load-storage integrated carbon flow analysis and tracing according to claim 2 is characterized in that: Carbon emission data of various energy sources are calculated through carbon emission factors of fossil energy, renewable energy and distributed energy, including: According to the renewable energy consumption and the carbon emission factor of renewable energy, Calculating Carbon Emissions from Renewable Energy ,in, represents the renewable energy consumption; represents the renewable energy base carbon emission factor; Indicates the weight of the equipment; represents the manufacturing carbon emission factor; Indicates the transport distance; represents the transport carbon emission factor; Indicates the number of maintenance times; represents the maintenance carbon emission factor; According to the distributed energy consumption and the carbon emission factor of distributed energy, Calculating Carbon Emissions from Distributed Energy ,in, Indicates fuel consumption; represents the fuel carbon emission factor; Indicates operating efficiency; Indicates the running time; Represents the carbon emission factor per unit time.

4. The calculation method based on source-grid-load-storage integrated carbon flow analysis and traceability according to claim 3 is characterized in that: Transmit carbon emission data of various energy sources to the grid, including: The carbon emissions of renewable energy and distributed energy are divided according to time, energy type and geographical location attributes to form multiple data blocks, each of which contains data with similar attributes; Determine the number of clusters K, and randomly determine K data points as the initial cluster centers; For each data point in the data block, calculate the distance between it and each cluster center, and assign the data point to the cluster represented by the corresponding cluster center; for each cluster, calculate the average value of all data points within it, and use the average value as the new cluster center; Repeat the steps until the preset number of iterations is reached. In each iteration, the cluster affiliation and cluster center of the data points are updated to make the data points within each cluster similar and the data points between different clusters different. After the iteration is completed, the final clustering result is obtained. According to the final clustering results, encapsulate the data of each category into a standard format and mark its attributes; The encapsulated and marked data is transmitted to the power grid side in real time.

5. The calculation method based on source-grid-load-storage integrated carbon flow analysis and traceability according to claim 4 is characterized in that: For each data point in the data block, calculate the distance between it and each cluster center, including: For each data point in the data block, Calculate the distance between it and each cluster center, where and are the coordinates of the data point P, and are the coordinates of the cluster center C, and as a parameter.

6. The calculation method based on source-grid-load-storage integrated carbon flow analysis and traceability according to claim 5 is characterized in that: Obtain carbon emission data of various energy sources from the power supply side, and calculate carbon emissions during power grid transmission based on the carbon loss factor during power grid transmission, including: The received carbon emission data is integrated with the relevant information on the power supply side to obtain integrated data; Analyze the fused data to obtain the carbon emissions on the power supply side, including the carbon emissions of different power generation types and the time distribution of carbon emissions; According to the carbon emission data and carbon loss factor on the power supply side, Calculate the carbon emissions during power grid transmission, where: Indicates the carbon emissions during power grid transmission; Indicates the original carbon emissions on the power supply side; represents the segment transmission loss factor, Indicates The power loss of the segment, is the total power generation of the power plant; represents the transformer efficiency product, Indicates The efficiency of each transformer; represents the voltage conversion and receiving efficiency correction factor, is the amount of electricity received by the user, is the amount of electricity transmitted by the power plant, is the voltage conversion efficiency, is a counter used to sum the symbols Mark a specific item in the total number of items currently being added; Indicates the total number of power loss segments during transmission; Change from 1 to , to traverse the power loss segment during the transmission process; is a counter used to calculate the Mark the specific item in the total number of items currently being multiplied below, m represents the total number of transformers in the power grid, Change from 1 to m to traverse all transformers in the power grid.

7. The calculation method based on source-grid-load-storage integrated carbon flow analysis and traceability according to claim 6 is characterized in that: According to the carbon emissions from the power supply side, grid side, load side and energy storage side, carbon flow analysis and tracing are carried out to obtain the carbon emissions of the entire source-grid-load-storage integrated system, including: According to the carbon emissions of the power supply side, grid side, load side and energy storage side, Calculate the carbon emissions of the entire integrated source-grid-load-storage system; in, Represents the total carbon emissions of the entire system; , , , , , and is the adjustment factor; Indicates the carbon emissions on the grid side; Indicates the carbon emissions on the load side; Indicates the carbon emission efficiency of the load, which indicates the load power generated per unit carbon emission; Indicates the running time of the load; Indicates the power factor of the load; Represents the carbon emissions of the energy storage system; Indicates the charging and discharging efficiency of the energy storage system; Indicates the capacity of the energy storage system; Indicates the service life of the energy storage system.

8. A computing system based on source-grid-load-storage integrated carbon flow analysis and traceability, characterized in that: include: The acquisition module is used to calculate the carbon emission data of various energy sources on the power supply side through the carbon emission factors of fossil energy, renewable energy and distributed energy, and transmit the carbon emission data of various energy sources to the power grid side; on the power grid side, the carbon emission data of various energy sources from the power supply side is obtained, and the carbon emission in the power grid transmission process is calculated according to the carbon loss factor in the power grid transmission process; The processing module is used to obtain the carbon emissions during the transmission process of the power grid on the load side, and calculate the carbon emissions on the load side according to the carbon consumption factors of various loads; On the energy storage side, the carbon emissions during grid transmission and the carbon emissions on the load side are obtained, and the carbon emissions on the energy storage side are calculated based on the charging and discharging efficiency of the energy storage equipment and the corresponding carbon emission factor. Based on the carbon emissions on the power supply side, grid side, load side and energy storage side, carbon flow analysis and tracing are carried out to obtain the carbon emissions of the entire source-grid-load-storage integrated system.

9. A computing device, characterized in that include: one or more processors; A storage device for storing one or more programs, when the one or more programs are executed by the one or more processors, the one or more processors implement the method as claimed in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a program, which, when executed by a processor, implements the method according to any one of claims 1 to 7.

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