Regional power system carbon emission accounting method and system

Abstract

The invention discloses a regional electric power system carbon emission accounting method and system, and belongs to the technical field of electric power carbon emission accounting, and the method comprises the steps: S1, constructing an accounting system comprising a geographic boundary, a time period and multi-dimensional data; s2, determining the power generation amount, power generation direct carbon emission and power net flow direction relation of the regional power system, and calculating a carbon emission factor of the regional power system; s3, according to the carbon emission factors, executing full-link hierarchical carbon emission accounting of local power generation, power transmission and distribution, power interaction and green power transaction; s4, implementing a dynamic factor updating and three-level error checking mechanism; s5, outputting an intensity index, a structure index and a visual report; according to the regional electric power system carbon emission accounting method and system provided by the invention, through a closed loop of'accurate accounting-dynamic updating-multi-dimensional application ', full-process management and control of regional electric power carbon emission are realized, the extensive problem of traditional accounting is solved, and quantitative support is provided for energy transformation and carbon market transaction.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power carbon emission accounting, in particular to a regional power system carbon emission accounting method and system. BACKGROUND

[0002] With the promotion of the "double carbon" goal, the power industry, as a key field of carbon emissions, has an increasingly urgent need for accurate accounting. The existing regional power carbon emission accounting has the following shortcomings:

[0003] Data lag: the regional power grid carbon emission factor published by the official is updated for a long period (such as the regional power grid factor is only updated to 2012), which cannot reflect the changes in power supply structure.

[0004] Coarse accounting: using average carbon emission factor, without considering the influence of regional power interaction, network loss and green electricity trading, leading to unreasonable indirect carbon emission accounting between users.

[0005] Poor dynamic adaptability: without considering dynamic parameters such as real-time load rate of thermal power units and full life cycle emissions of renewable energy, the accounting precision is insufficient. SUMMARY

[0006] The purpose of the present application is to provide a regional power system carbon emission accounting method and system to solve the problems of data lag, coarse accounting and poor dynamic adaptability in the background technology.

[0007] To achieve the above purpose, the present application provides a regional power system carbon emission accounting method, comprising the following steps:

[0008] S1, constructing an accounting system containing geographical boundaries, time period and multi-dimensional data;

[0009] S2, defining the power generation, direct carbon emission of power generation and net power flow relationship of regional power system, and calculating the carbon emission factor of regional power system;

[0010] S3, according to the carbon emission factor of step S2, performing full-linkage hierarchical carbon emission accounting of local power generation, power transmission and distribution, power interaction and green electricity trading;

[0011] S4, implementing dynamic factor updating and three-level error checking mechanism;

[0012] S5, outputting intensity index, structure index and visual report.

[0013] Preferably, the multi-dimensional data in step S1 includes fossil energy power generation, fuel consumption and renewable energy output data on the power supply side; power transmission and distribution loss rate, inter-regional power trading volume on the power grid side; industry electricity consumption and green electricity trading contract data on the load side.

[0014] The calculation formula of the carbon emission factor in step S2 is preferably:

[0015]

[0016] C grid,i is the direct carbon emission of power generation; is the carbon emission factor of the local power supply in region i; E loss,i is the loss of power transmission and distribution in region i; E imp,j,i is the power transferred from region j to region i, and j≠i; F grid,j is the carbon emission factor of the power grid in region j; E cxp,k,i is the power transferred from region i to region k, and k≠i; F green,i is the green power trading amount in region i; F ref,i is the average carbon emission factor of thermal power in region i; EF green,i is the carbon emission factor of the whole life cycle of green power.

[0017] The calculation formula of the direct carbon emission of local power generation in step S3 is preferably:

[0018] C grid,i =∑ m (F m ×D m,i );

[0019] wherein m is the mth energy; D m,i is the energy data used for power generation in region i; F m is the carbon emission coefficient of the mth energy;

[0020] The carbon emission coefficient is composed of average low heat value, carbon content, and oxidation rate, and the formula is:

[0021]

[0022] wherein N is the average low heat value; C is the carbon content; and O is the oxidation rate; is the conversion coefficient used when converting carbon elements into CO2.

[0023] The calculation formula of the carbon emission of power transmission and distribution in step S3 is preferably:

[0024]

[0025]

[0026] wherein, and E loss are the carbon emission and the grid loss carbon emission of SF6, respectively; E SF,t is the amount of SF6 gas retained by the equipment in the tth year; ra is the gas recovery rate of the a-th emission path of SF6; d t,a is the retirement rate of the a-th emission path of SF6 in the t-th year; G is the power at the load end; δ L is the comprehensive network loss rate.

[0027] Preferably, the calculation formula of the carbon emission of power interaction in step S3 is:

[0028] E interact,i = E imp,i -E exp,i ;

[0029] wherein, E interact,i is the net carbon emission of the power interaction link in region i; E imp,i is the total carbon emission of the power imported by region i; E exp,i is the total carbon emission of the power exported by region i;

[0030] When region i imports power from other region j, the total carbon emission of the imported power is calculated according to the source factor of the imported power, specifically:

[0031] E imp,i =∑ j (E imp,j,i ×F grid,j );

[0032] If the grid factor of the specific source is known, F grid,j is used for calculation;

[0033] If the grid factor of the specific source is unknown, the weighted average method is used to update F grid,j for calculation:

[0034]

[0035] wherein, E imp,k,j is the power imported from region k to region j; F grid,k is the grid carbon emission factor of region k;

[0036] When region i exports power from other region k, the calculation formula of the total carbon emission of the exported power is:

[0037] E exp,i =∑ k (E exp,i,k ×F grid,i );

[0038] wherein, E exp,i,k is the power exported from region i to region k.

[0039] Preferably, the calculation of the carbon emission of the green electricity transaction in step S3 is specifically: according to the processing of the green electricity transaction and the load splitting, the original green electricity unit W output P j is divided into a green electricity virtual unit W G , an output P j,xn and an equivalent non-green unit W N output P j,dz , and has:

[0040] P j = P j,xn + P j,dz ;

[0041] The original load power P1, the green electricity transaction virtual load power P 1,xn and the equivalent load power P 1,dz have the following relationship:

[0042] P1 = P 1,xn + P 1,dz ;

[0043] The carbon emission of the virtual unit and the virtual load is:

[0044] F j,xn = P j,xn × EF green,i = E 1,xn ;

[0045] The carbon emission of the non-green electricity transaction part is:

[0046] E 1,dz = P 1,dz × F grid,i ;

[0047] The total carbon emission is:

[0048] E L = E 1,xn + E 1,dz .

[0049] Preferably, the dynamic factor updating in step S4 is based on the annual energy statistical yearbook and the power grid dispatching data, and the electric-carbon model is used to update the factor, and the expression of the electric-carbon model is:

[0050] F grid,t+1 = F grid,t × (1-α× R green );

[0051] Wherein, F grid,t is the regional power grid carbon emission factor in the t year; α is the green electricity emission reduction coefficient; R green is the proportion of green electricity;

[0052] The three-level verification mechanism includes:

[0053] Data consistency check: check the matching degree of fuel consumption and power generation;

[0054] Benchmark calibration: compare with the average factor of national power grid;

[0055] Uncertainty analysis: quantify the influence of fuel heat value fluctuation and external power structure change on the results.

[0056] The application also provides a regional power system carbon emission accounting system, comprising:

[0057] A data acquisition module is configured to acquire power enterprise production data, power grid dispatching data, energy statistical yearbook and structured / unstructured data, and simultaneously pre-process the data;

[0058] A carbon emission factor calculation module is internally provided with a dynamic carbon emission factor library, and is configured to calculate the carbon emission factor of the regional power grid according to real-time data collected by the data acquisition module;

[0059] A full-link accounting module comprises a power generation accounting unit, a power grid accounting unit and a green electricity transaction accounting unit; the power generation accounting unit is configured to call the factor library according to the power source type to calculate the local power generation carbon emission, the power grid accounting unit is configured to calculate the power transmission and distribution carbon emission and the power interaction carbon emission, respectively, and the green electricity transaction accounting unit is configured to calculate the carbon emission of the green electricity transaction;

[0060] A dynamic checking and updating module is configured to realize dynamic updating of the carbon emission factor of the regional power grid;

[0061] A result output module is configured to output the intensity index, the structure index and the visual report.

[0062] Therefore, the regional power system carbon emission accounting method and system have the following beneficial effects:

[0063] (1) The local power generation, power transmission and distribution, power interaction and green electricity transaction are distinguished, and the problem of the traditional “average factor method” rough accounting is solved;

[0064] (2) The dynamic factor updating and checking mechanism ensures that the results meet the latest policy and energy structure change.

[0065] The technical solutions of the application will be further described in detail below with reference to the accompanying drawings and embodiments. BRIEF DESCRIPTION OF DRAWINGS

[0066] Fig. 1 FIG. 1 is a flowchart of the regional power system carbon emission accounting method of the application;

[0067] Fig. 2 FIG. 2 is a schematic diagram of the relationship between the regional power grid carbon emission factor and the full-link accounting of the embodiment of the application;

[0068] Fig. 3 A schematic diagram of unit output and load splitting for participating in green electricity transactions by embodiments of the present application. DETAILED DESCRIPTION

[0069] The following detailed description of embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the application as claimed, but merely represents selected embodiments of the application. All other embodiments obtained by persons of ordinary skill in the art based on embodiments in the present application without creative work are within the scope of protection of the present application.

[0070] Referring to Figs. 1-3 A regional power system carbon emission accounting method, comprising the following steps:

[0071] S1, constructing an accounting system containing geographical boundaries, time periods and multi-dimensional data; taking provincial / economic regions as geographical units, delimiting physical boundaries containing local power sources, power transmission and distribution networks and inter-regional power interfaces, setting annual / quarterly accounting periods; multi-dimensional data includes fossil energy power generation, fuel consumption and renewable energy output data on the power source side; power transmission and distribution loss rate, inter-regional power trading volume on the power grid side; industry electricity consumption and green electricity transaction contract data on the load side.

[0072] S2, determining the relationship between power generation, direct carbon emission of power generation and net power flow of the regional power system, and calculating the carbon emission factor of the regional power system; the calculation formula is:

[0073]

[0074] Among them, C grid,i is the direct carbon emission of power generation; is the carbon emission factor of the local power source in region i; E loss,i is the loss of power transmission and distribution in region i; E imp,j,i is the power imported from region j to region i, and j≠i; F grid,j is the carbon emission factor of the power grid in region j; E cxp,k,i is the power exported from region i to region k, and k≠i; F green,i is the power of green electricity transaction in region i; F ref,i is the average carbon emission factor of thermal power in region i; EF green,i is the carbon emission factor of the whole life cycle of green electricity.

[0075] S3, according to the carbon emission factor of step S2, performing whole-linkage hierarchical carbon emission accounting of local power generation, power transmission and distribution, power interaction and green electricity transaction;

[0076] The calculation formula of direct carbon emission of local power generation is:

[0077] C grid,i=∑ m (F m ×D m,i );

[0078] where m is the mth energy source; D m,i is the energy data of region i for power generation; F m is the carbon emission coefficient of the mth energy source;

[0079] The carbon emission coefficient is composed of average low heat value, carbon content, and oxidation rate, and the formula is:

[0080]

[0081] where N is the average low heat value; C is the carbon content; and O is the oxidation rate. is the conversion coefficient used when converting carbon elements into CO2.

[0082] The calculation formula of carbon emission in the power transmission and distribution link is:

[0083]

[0084] where, and E loss are the carbon emissions of SF6 and the carbon emissions of network loss, respectively; E SF,t is the amount of SF6 gas retained by the equipment in the tth year; r a is the gas recovery rate of the ath emission path of SF6; d t,a is the scrap rate of the ath emission path of SF6 in the tth year; G is the power at the load end; and δ L is the comprehensive network loss rate.

[0085] The calculation formula of carbon emission in the power exchange is:

[0086] E interact,i = E imp,i -E exp,i ;

[0087] where E interact,i is the net carbon emission in the power exchange link of region i; E imp,i is the total carbon emission of the power exchanged into region i; and E exp,i is the total carbon emission of the power exchanged out of region i.

[0088] When region i exchanges power from other region j, the total carbon emission of the exchanged power is calculated according to the source factor of the exchanged power, and the specific calculation is:

[0089] E imp,i =∑ j (E imp,j,i ×F grid,j );

[0090] If the grid factor of the specific source is known, then F grid,j is calculated;

[0091] If the grid factor of the specific source is unknown, then the weighted average method is used to update F grid,j is calculated:

[0092]

[0093] where E imp,k,j is the amount of electricity transferred from region k to region j; F grid,k is the grid carbon emission factor of region k;

[0094] When region i exports electricity to other regions k, the total carbon emission calculation formula of the exported electricity is:

[0095] E exp,i =∑ k (E exp,i,k ×F grid,i );

[0096] where E exp,i,k is the amount of electricity transferred from region i to region k.

[0097] Green electricity trading is a green electricity purchase bilateral contract directly signed by power users and new energy enterprises. New energy enterprises obtain the opportunity of priority grid access for the contracted electricity, and users should obtain the corresponding indirect carbon emission reduction and exemption of green electricity. The calculation of carbon emission of green electricity trading is as follows: according to the processing and load splitting of green electricity trading, the original green electricity unit W output P j is divided into green electricity virtual unit W G , output P j,xn and equivalent non-green unit W N output P j,dz , wherein the virtual unit output is the green electricity trading part, and the equivalent non-green electricity unit output is the non-green electricity trading part, and

[0098] P j =P j,xn +P j,dz ;

[0099] Similarly, it can be obtained that the original load power P1, the green electricity trading virtual load power P 1,xn and the equivalent load power P 1,dz have the following relationship:

[0100] P1=P 1,xn +P 1,dz ;

[0101] If the original unit output P j or the original load power P1 all participate in green electricity trading, then the equivalent output P j,dzOr equivalent load power P 1,dz = 0.

[0102] Virtual machine group and virtual load carbon emissions (green electricity transaction direct emissions) are:

[0103] E j,xn = P j,xn × EF green,i = E 1,xn ;

[0104] Non-green electricity transaction part of carbon emissions (indirect emissions) is:

[0105] E 1,dz = P 1,dz × F grid,i ;

[0106] Total carbon emissions are:

[0107] E L = E 1,xn + E 1,dz .

[0108] S4, implement dynamic factor update and three-level error checking mechanism; based on the annual energy statistics yearbook, power grid dispatching data, use Python electricity-carbon model to update the factor, the expression of electricity-carbon model is:

[0109] F grid,t+1 = F grid,t × (1-α× R green );

[0110] Where, F grid,t is the carbon emission factor of regional power grid in the t year; α is the green electricity emission reduction coefficient, which is determined by historical data regression analysis according to the difference between the carbon emission factors of regional thermal power and green electricity, and is fine-tuned combined with the actual emission reduction effect; R green is the proportion of green electricity, which is calculated from the green electricity generation and total power generation data obtained from the data collection module; set the trigger condition, when the green electricity proportion fluctuates more than 5%, automatically start the factor update process, recalculate and iterate the regional power grid carbon emission factor.

[0111] Three-level checking mechanism includes:

[0112] Data consistency check: use SQL statement to query fuel consumption and power generation data, calculate the matching degree (matching degree = (1- | fuel consumption calculated power generation- actual power generation | / actual power generation) × 100%), when the matching degree is less than 5%, trigger data traceability warning, remind manual data collection link checking;

[0113] Calibration: Periodically obtain average factor data from the State Grid carbon emission factor release platform, compare with the locally calculated regional power grid carbon emission factor, when the deviation exceeds 10%, automatically start the early warning mechanism, through system pop-up window, email notification and other ways, remind the operation and maintenance personnel to check the factor calculation model, data source;

[0114] Uncertainty analysis: Using the Monte Carlo simulation method, in Python, using the SciPy library, setting reasonable fluctuation range for fuel heat value, external regulation power structure and other parameters (such as fuel heat value fluctuation ± 3%, external regulation power structure fluctuation ± 5%), 1000 times of simulation calculation, quantifying the influence of these fluctuations on carbon emission accounting results, output uncertainty analysis report.

[0115] S5, output intensity index, structure index and visual report; Intensity index: unit GDP electric carbon intensity, unit power carbon intensity. Structure index: fossil power emission proportion, renewable energy carbon reduction contribution. Multi-dimensional report generation: form a visual report containing spatial distribution (such as northeast high-southwest low), time trend (annual decline rate) and emission reduction potential analysis, support regional carbon policy making.

[0116] A regional power system carbon emission accounting system based on the above method, comprising:

[0117] Data acquisition module, including data access and data preprocessing:

[0118] Data access: Through the deployment of intelligent acquisition terminals in power plants and power grid enterprises, obtain production data such as coal-fired power generation and natural gas consumption per hour; rely on power grid dispatching system, real-time acquisition of network loss rate, cross-regional power transmission power and other dispatching data; from provincial energy statistics platform, green electricity trading platform, quarterly synchronization of energy statistics yearbook, green electricity trading contract and other data. Use Modbus protocol to interface with power plant DCS system to collect production data, and use OPC UA protocol to obtain power grid dispatching data;

[0119] Data preprocessing: Use Pandas library of Python to clean the data, for example, when there are negative values in coal-fired power generation data, automatically identify as outliers and exclude; for missing network loss rate data, use the average of the past 7 days for interpolation. Convert electric quantity data of different units to MWh, and match power plant name with provincial / economic region code through geocoding technology, establish multi-source data association.

[0120] The carbon emission factor calculation module is internally provided with a dynamic carbon emission factor library, in the factor library management function, the latest fossil fuel carbon emission factor and green electricity full life cycle factor are obtained from the official website of the National Development and Reform Commission, the built-in dynamic factor library is automatically updated, and the factor data in special scenarios (such as regional characteristic biomass power generation factor) can also be manually entered by the user; the calculation engine is developed based on Java, the real-time data preprocessed by the data acquisition module is called, and the regional power grid carbon emission factor calculation formula is substituted to calculate. For the imported power with unknown source, when the "power source area" field in the data is empty, the weighted average method is automatically triggered to calculate the equivalent factor, the related regional power grid carbon emission factor is called from the historical factor library, and the equivalent factor calculation is completed combined with the proportion of imported power;

[0121] The full-link accounting module includes a power generation accounting unit, a power grid accounting unit and a green electricity transaction accounting unit; the power generation accounting unit calls the factor library according to the power source type to calculate the local power generation carbon emission, the power grid accounting unit calculates the power transmission and distribution carbon emission and the power interaction carbon emission respectively, and the green electricity transaction accounting unit is used to calculate the carbon emission of green electricity transaction;

[0122] The dynamic verification and update module realizes dynamic updating of the regional power grid carbon emission factor;

[0123] The result output module outputs the intensity index, the structure index and the visual report.

[0124] Therefore, the regional power system carbon emission accounting method and system are adopted, a multi-dimensional data system is constructed, the "source-grid-load" full-link hierarchical accounting is performed, the green electricity transaction carbon deduction and dynamic factor updating mechanism are integrated, the problems of data lag and rough accounting in the prior art are solved, the accounting precision is improved and the dynamic adaptability is enhanced, and scientific support is provided for regional carbon policy making

[0125] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application and not to limit them, although the present application has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present application can still be modified or replaced by equivalents, and these modifications or equivalent replacements cannot make the modified technical solutions deviate from the spirit and scope of the technical solutions of the present application.

Claims

1. A method for calculating carbon emissions from a regional power system, characterized in that: The following steps are involved: S1. Build an accounting system that includes geographical boundaries, time periods, and multi-dimensional data; S2. Clarify the relationship between the power generation, direct carbon emissions from power generation, and net power flows of the regional power system, and calculate the carbon emission factor of the regional power system; S3. Based on the carbon emission factors in step S2, perform tiered carbon emission accounting for all aspects of local power generation, transmission and distribution, power interaction, and green power trading; S4, implement dynamic factor update and three-level error checking mechanism; S5. Output strength index, structural index and visualization report.

2. A method for calculating carbon emissions from a regional power system according to claim 1, characterized in that: The multidimensional data in step S1 includes fossil energy power generation, fuel consumption and renewable energy output data on the power supply side; transmission and distribution loss rate and inter-regional power trading volume on the grid side; and industry power consumption and green power trading contract data on the load side.

3. A method for calculating carbon emissions from a regional power system according to claim 1, characterized in that: The calculation formula for the carbon emission factor in step S2 is: Among them, C grid,i Direct carbon emissions for power generation; is the carbon emission factor of local power supply in region i; E loss,i is the power loss in the transmission and distribution link of region i; E imp,j,i is the amount of electricity transferred from area j to area i, and j≠i; F grid,j is the carbon emission factor of the power grid in region j; E cxp,k,i is the amount of electricity transferred from area i to area k, and k≠i; F green,i is the amount of green electricity traded in region i; F ref,i is the average carbon emission factor of thermal power in region i; EF green,i It is the carbon emission factor of green electricity throughout its life cycle.

4. A method for calculating carbon emissions from a regional power system according to claim 3, characterized in that: The calculation formula for direct carbon emissions from local power generation in step S3 is: C grid,i =∑ m (F m ×D m,i ); Where m is the mth energy; D m,i F is the energy data used for power generation in region i; m is the carbon emission coefficient of the mth energy; The carbon emission coefficient is composed of the average low calorific value, carbon content, and oxidation rate. The formula is: Among them, N is the average low calorific value; C is the carbon content; O is the oxidation rate; It is the conversion factor used when converting carbon to CO2.

5. A method for calculating carbon emissions from a regional power system according to claim 3, characterized in that: The calculation formula for carbon emissions in the power transmission and distribution link in step S3 is: in, and E loss are the carbon emissions of SF6 and network loss respectively; E SF,t is the amount of SF6 gas retained by the equipment in year t; r a is the gas recovery rate of SF6 emission pathway a; d t,a is the scrap rate of the a-th SF6 emission pathway in year t; G is the load-side electricity; δ L is the comprehensive network loss rate.

6. A method for calculating carbon emissions from a regional power system according to claim 3, characterized in that: The calculation formula for electricity interaction carbon emissions in step S3 is: AND interact,i =And imp,i -AND exp,i ; Among them, E interact,i is the net carbon emissions of the power interaction link in region i; E imp,i is the total carbon emissions of electricity transferred into region i; E exp,i is the total carbon emissions of electricity transferred out of region i; When region i imports electricity from other region j, the total carbon emissions of the imported electricity are calculated based on the source factor of the imported electricity, specifically: AND imp,i =∑ j (AND imp,j,i ×F grid,j ); If the grid factor of a specific source is known, use F grid,j Perform calculations; If the grid factor of a specific source is unknown, the weighted average method is used to update F grid,j Perform the calculation: Among them, E imp,k,j is the amount of electricity transferred from area k to area j; F grid,k is the carbon emission factor of the power grid in region k; When region i transfers electricity from other regions k, the total carbon emissions of the transferred electricity are calculated as follows: AND exp,i =∑ k (AND exp,i,k ×F grid,i ); Among them, E exp,i,k is the amount of electricity transferred from area i to area k.

7. A method for calculating carbon emissions from a regional power system according to claim 3, characterized in that: The calculation of carbon emissions from green electricity trading in step S3 is as follows: according to the processing and load splitting of green electricity trading, the original green power unit W output P j Divided into green power virtual machine group W G , output P j,xn and equivalent non-green unit W N Output P j,dz ,have: P j =P j,xn +P j,dz ; Original load power P1, green power transaction virtual load power P 1,xn and equivalent load power P 1,dz There are the following relationships: P1=P 1,xn +P 1,dz ; The carbon emissions of virtual machine groups and virtual loads are: AND j,xn =P j,xn ×EF green,i =And 1,xn ; Carbon emissions from non-green electricity trading are: AND 1,dz =P 1,dz ×F grid,i ; The total carbon emissions are: AND L =And 1,xn +E 1,dz 。 8. A method for calculating carbon emissions from a regional power system according to claim 1, characterized in that: The dynamic factor update in step S4 is based on the annual energy statistical yearbook and power grid dispatch data, and the electricity-carbon model is used to update the factor. The electricity-carbon model expression is: F grid,t+1 =F grid,t ×(1-α×R green ); Among them, F grid,t is the regional power grid carbon emission factor in year t; α is the green electricity emission reduction coefficient; R green is the proportion of green electricity; The three-level verification mechanism includes: Data consistency check: check the matching degree between fuel consumption and power generation; Benchmarking: Comparison with the national grid average factor; Uncertainty analysis: Quantify the impact of fluctuations in fuel calorific value and changes in the structure of external power supply on the results.

9. A regional power system carbon emission accounting system, applied to a regional power system carbon emission accounting method according to any one of claims 1 to 8, characterized in that: include: The data acquisition module is used to obtain power company production data, grid dispatch data, energy statistical yearbooks, and structured / unstructured data, and pre-process the data; Carbon emission factor calculation module, with a built-in dynamic carbon emission factor library, calculates the regional power grid carbon emission factor based on the real-time data collected by the data acquisition module; The full-link accounting module includes power generation accounting, power grid accounting, and green electricity trading accounting. The power generation accounting unit uses a factor library based on power source type to calculate local power generation carbon emissions. The power grid accounting unit calculates transmission and distribution carbon emissions and electricity interaction carbon emissions separately. The green electricity trading accounting unit is used to calculate carbon emissions from green electricity trading. Dynamic verification and update module to achieve dynamic update of regional power grid carbon emission factors; The result output module outputs strength indicators, structural indicators and visual reports.

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