A carbon emission factor correction method and system for intelligent converged terminals

Abstract

The present application relates to the technical field of power grid carbon emission factor, and more particularly to a carbon emission factor correction method and system for intelligent fusion terminal, which comprises: collecting operation parameters of each branch in the power grid, the operation parameters including current instantaneous value, current harmonic distortion rate, power factor, rated current and DC resistance value of the wire where the current is located, and transmission power of each branch and total transmission power of the power grid; correcting the obtained reference carbon emission factor of each branch based on the operation parameters to obtain a corrected carbon emission factor; and performing power supply scheduling optimization or power consumption behavior intervention for each branch based on the corrected carbon emission factor. The present application realizes fair attribution and dynamic correction of carbon responsibility by collecting real-time power consumption behavior data of each branch, dynamically quantifying the actual contribution of current fluctuation, power factor imbalance and harmonic distortion to power grid loss, and adding personalized carbon cost to the reference carbon emission factor.

Description

Technical Field

[0001] This invention relates to the field of carbon emission factor technology for power grids. In particular, it relates to a method and system for correcting carbon emission factors for smart converged terminals. Background Technology

[0002] The carbon emission factor refers to the amount of carbon dioxide emissions indirectly caused by consuming a unit of electricity. It transforms intangible electricity consumption behavior into a measurable and comparable carbon footprint, serving as a fundamental parameter for quantitatively assessing the environmental costs of economic activities. Currently, the power sector typically uses the regional power grid average carbon emission factor as the accounting basis to reflect the overall carbon emission level of the region.

[0003] However, in micro-application scenarios targeting specific branches, the traditional regional power grid average carbon emission factor has the following drawbacks: it treats the carbon emissions generated by grid losses as a whole, implicitly including them in the total emissions on the generation side, and assumes that all users share the carbon emissions from losses in proportion to their electricity consumption. This approach ignores the actual differences in the contribution of different users' electricity consumption behaviors to grid losses, resulting in users with better electricity quality subsidizing users with poorer electricity consumption behaviors, causing carbon responsibility mismatch and unfair distribution, and lacking effective incentive signals to guide users to improve their electricity consumption behaviors and reduce system carbon emissions.

[0004] Therefore, there is a need in this field for a carbon emission factor correction method and system for smart converged terminals to address the problem that the carbon emission factors of the above methods cause unfair allocation of carbon responsibility and fail to guide users to improve their electricity consumption behavior and reduce system carbon emissions. Summary of the Invention

[0005] To address the technical problem that the carbon emission factors of the above methods lead to unfair allocation of carbon responsibility and fail to guide users to improve their electricity consumption behavior and reduce system carbon emissions, this invention provides solutions in the following aspects.

[0006] In the first aspect, a carbon emission factor correction method for a smart fusion terminal includes: The operating parameters of each branch in the power grid are collected. The operating parameters include the instantaneous current value of each phase in each branch, the current harmonic distortion rate, the power factor, the rated current and DC resistance value of the conductor where the current is located, as well as the transmission power of each branch and the total transmission power of the power grid. The baseline carbon emission factors of each branch are corrected based on the operating parameters to obtain the corrected carbon emission factors. Based on the modified carbon emission factor, power supply scheduling optimization or electricity consumption behavior intervention is carried out for each branch. The calculation method for the corrected carbon emission factor includes: taking any branch as the target branch, taking any phase of the target branch as the target phase, dividing the collection period evenly into multiple time windows, taking any time window as the target window, calculating the current correction coefficient based on the instantaneous current value and power factor of the target phase current within the target window; calculating the effective value of each phase current based on the instantaneous current value of each phase current within the target window, and calculating the influence degree of the target branch by combining the rated current of each phase current, the current correction coefficient in the target window, the transmission power of the target branch, and the total transmission power of the power grid; calculating the self-loss power of the target branch based on the current correction coefficient, effective current value, DC resistance value, current harmonic distortion rate, and preset skin effect coefficient of each phase current in the target window; obtaining the transmission power of the target branch, and correcting the baseline carbon emission factor of the target branch by combining the influence degree of the target branch in each time window and its self-loss power.

[0007] Preferably, the calculation method for the current correction coefficient includes: calculating the average current and the current standard deviation based on the instantaneous current value of the target phase current within the target window; calculating the ratio of the current standard deviation to the average current; normalizing the ratio to obtain the coefficient of variation; calculating the average power factor of all phases in the target branch; calculating the absolute difference between the power factor of the target phase and the average value; normalizing the absolute difference; calculating the sum of the square of the coefficient of variation, the square of the normalized absolute difference, and a preset correction reference value; and using the square root of the sum as the current correction coefficient.

[0008] Preferably, when the average current of the instantaneous current of the target phase current within the target window is less than or equal to a preset threshold, the current correction coefficient of the target phase current within the target window is set as the correction reference value.

[0009] Preferably, the preset threshold is 5% of the rated current of the conductor in which the target phase current is located.

[0010] Preferably, the method for calculating the degree of influence of the target branch includes: calculating the ratio of the effective value of the target phase current to its rated current, multiplying the ratio by the current correction coefficient of the target phase current in the target window to obtain a first product; calculating the first sum of the first products corresponding to the phase currents of the target branch; calculating the ratio of the transmission power of the target branch to the total transmission power of the power grid, and normalizing the product of the ratio and the first sum to obtain the degree of influence.

[0011] Preferably, the method for calculating the self-loss power of the target branch includes: calculating the square of the product of the current correction coefficient and the effective value of the current of the target phase current in the target window, and multiplying the square of the product by the DC resistance value of the target phase current to obtain a second product; calculating the square of the current harmonic distortion rate of the target phase current in the target window by the skin effect coefficient, and adding the product to 1 to obtain a second sum; multiplying the second product and the second sum to obtain a third product; and adding the third products corresponding to all phase currents of the target branch to obtain the self-loss power of the target branch.

[0012] Preferably, the method for correcting the baseline carbon emission factor of the target branch includes: for each time window, calculating the product of the influence degree of the target branch in that time window and its own power loss to obtain a fourth product; adding the fourth products corresponding to each time window to obtain a third sum; calculating the ratio of the third sum to the power transmitted by the target branch during the collection period; multiplying the sum of this ratio and 1 with the baseline carbon emission factor to obtain the corrected carbon emission factor of the target branch.

[0013] Secondly, a carbon emission factor correction system for a smart converged terminal includes a processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, the above-mentioned carbon emission factor correction method for a smart converged terminal is implemented.

[0014] The present invention has the following effects: 1. This invention dynamically allocates the carbon emissions from power grid losses based on a benchmark carbon emission factor, enabling the corrected carbon emission factor to truly reflect the actual impact of electricity consumption behavior of each branch on power grid efficiency and carbon emissions, thus overcoming the shortcomings of traditional methods that only use electricity consumption as a single input and ignore differences in electricity consumption behavior.

[0015] 2. This invention dynamically allocates carbon emissions from grid losses according to the actual impact and loss contribution of each branch. It adds personalized carbon costs due to the branch's own electricity consumption behavior to the average carbon intensity on the power generation side. Compared with the traditional method of allocating carbon emissions from losses to all users proportionally based on electricity consumption, which leads to the unfair phenomenon of high-quality electricity consumption subsidizing low-quality electricity consumption, this invention establishes a direct link between carbon responsibility and the root causes of physical losses at the theoretical level, making the allocation of carbon responsibility more scientific, fair, and reasonable.

[0016] 3. The modified carbon emission factor generated by this invention can be used as a quantitative indicator for power grid dispatch, guide the implementation of differentiated power supply strategies, guide the improvement of electricity consumption behavior at the system level, effectively reduce the overall carbon emission intensity of the entire grid, and provide technical support for the low-carbon operation of the power grid. Attached Figure Description

[0017] Figure 1 This is a flowchart of steps S1-S3 in a carbon emission factor correction method for a smart fusion terminal according to an embodiment of the present invention.

[0018] Figure 2 This is a schematic diagram of steps S20-S23 in a carbon emission factor correction method for a smart fusion terminal according to an embodiment of the present invention. Detailed Implementation

[0019] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are some embodiments of the present invention, but not all embodiments.

[0020] The specific embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0021] Reference Figure 1 A method for correcting carbon emission factors for intelligent fusion terminals includes steps S1-S3, as detailed below: S1: Collect the operating parameters of each branch in the power grid. The operating parameters include the instantaneous current value of each phase in each branch, the current harmonic distortion rate, the power factor, the rated current and DC resistance value of the conductor where the current is located, as well as the transmission power of each branch and the total transmission power of the power grid.

[0022] Using a smart fusion terminal, instantaneous values ​​of phase currents in each branch of the power grid are collected at 1-second sampling intervals to form current sequences for each phase. The smart fusion terminal calculates the power factor of each phase current in real time and the harmonic distortion rate of each phase current in real time using Fourier transform. Parameters of the conductors containing the current are obtained, including the conductor's rated current and DC resistance. The transmission power of each branch and the total transmission power of the power grid are also obtained.

[0023] Obtain a unified average carbon emission factor for the regional power grid and use the average carbon emission factor as a common benchmark carbon emission factor for all branches.

[0024] S2: Based on the operating parameters, the baseline carbon emission factors of each branch are corrected to obtain the corrected carbon emission factors.

[0025] Reference Figure 2 Step S2 includes steps S20-S23, as detailed below: S20: Take any branch as the target branch, take any phase of the target branch as the target phase, divide the collected time period evenly into multiple time windows, take any time window as the target window, and calculate the current correction coefficient based on the instantaneous current value and power factor of the target phase current within the target window.

[0026] The calculation method for the current correction coefficient includes: calculating the average current and current standard deviation based on the instantaneous current value of the target phase current within the target window; calculating the ratio of the current standard deviation to the average current; normalizing this ratio to obtain the coefficient of variation; calculating the average power factor of all phases in the target branch; calculating the absolute difference between the power factor of the target phase and this average value; normalizing the absolute difference; and calculating the sum of the square of the coefficient of variation, the square of the normalized absolute difference, and a preset correction reference value. The square root of this sum is used as the current correction coefficient. The specific formula is as follows: In the formula, The first branch of the target path The phase current correction factor within the target window; The first branch of the target path The correction reference value of the phase current in the target window corresponds to the ideal state where the current has no fluctuation and the power factor is balanced. At this time, the correction reference value is set to 1, and the effective value of the current is not amplified. The first branch of the target path The coefficient of variation of the phase current within the target window; The first branch of the target path The normalized absolute difference between the phase power factor and the average power factor of all phases.

[0027] The larger the value, the more drastic the relative fluctuation over time. Dramatic fluctuations in current can exacerbate thermal cycling effects and significantly enhance peak heating, resulting in a greater additional heating effect compared to a stable current. Therefore, the current correction factor needs to be increased accordingly to accurately reflect the actual contribution of fluctuating current to line losses. The larger the value, the greater the deviation of the power factor of the phase current from the average value of the three-phase current power factor. The imbalance of the power factor between phases will lead to abnormal current phase relationship, which in turn will cause additional line losses. In order to quantify the additional impact of this power factor imbalance on system losses and thermal effects, the current correction coefficient also needs to be increased accordingly.

[0028] It should be noted that, considering that when the average current of a phase current within a time window is less than 5% of its rated current, the self-loss generated by that phase current accounts for a very small proportion of the total power grid loss, the engineering significance of fine-tuning it is limited, and the cost-effectiveness of the computational resources invested is low compared to the correction effect obtained. Therefore, when the average current of the instantaneous current of the target phase current within the target window is less than or equal to a preset threshold (5% of the rated current of the conductor where the target phase current is located; this value is a result of balancing engineering practicality and technical rationality), the current correction coefficient of the target phase current within the target window is set to the correction reference value of 1.

[0029] Traditional methods for calculating line heat loss typically use the RMS value of the current directly. This approach smooths out the time-varying characteristics and phase-to-phase asymmetry of the current. In reality, even with the same RMS current, drastically fluctuating currents, due to their higher peak values ​​and more frequent thermal cycling, generate significantly greater additional losses than steady-state currents. Similarly, three-phase unbalanced currents, compared to balanced currents, also lead to additional line losses, causing the actual heat generation to far exceed estimates based on RMS values.

[0030] This step constructs a current correction coefficient from the perspectives of current fluctuation and power factor imbalance, thereby accurately characterizing the fluctuation characteristics of the current and the degree of phase imbalance. The corrected heat loss calculation model can more realistically reflect the heat generation of the line under actual operating conditions, effectively making up for the shortcomings of traditional methods.

[0031] This gives us the current correction coefficient for each phase current in each branch at each time window.

[0032] S21: Calculate the effective value of each phase current based on the instantaneous current value of each phase current in the target window, and calculate the degree of influence of the target branch by combining the rated current of each phase current, the current correction coefficient of each phase current in the target window, the transmission power of the target branch and the total transmission power of the power grid.

[0033] The calculation method for the impact degree of the target branch includes: calculating the ratio of the effective value of the target phase current to its rated current, multiplying this ratio by the current correction coefficient of the target phase current in the target window to obtain the first product; calculating the first sum of the first products corresponding to the phase currents of the target branch; calculating the ratio of the transmission power of the target branch to the total transmission power of the power grid, and normalizing the product of this ratio and the first sum to obtain the impact degree. The specific formula is as follows: In the formula, Indicates the degree of influence of the target branch within the target window; This indicates the transmission power of the target branch within the target window; This represents the total transmission power of the power grid; Indicates the total number of phases contained in the target branch; The first branch of the target path The phase current correction factor within the target window; The first branch of the target path The effective value of the phase current and the calculation method of the effective value of the current are existing technologies and will not be described in detail here; The first branch of the target path The rated current of the phase current. Normalization yields the first The degree of influence of each branch in the target window .

[0034] The larger the value, the more critical the branch is in the power transmission of the power grid. As an important channel for maintaining the power balance and power supply reliability of the power grid, its influence on the overall operation of the power grid is correspondingly greater.

[0035] The larger the value, the more severe the current fluctuation or the abnormal load characteristics of that phase. Such electricity consumption behavior will cause additional losses to the system, which need to be made up by additional power generation, thereby increasing the overall carbon emissions. Therefore, a higher impact level needs to be assigned to highlight its negative contribution.

[0036] The larger the value, the closer the phase current is to its safe current carrying limit, and the less elastic the system is to load fluctuations. When the load rate is too high, it may cause direct safety risks such as overload tripping and equipment overheating damage. In order to maintain stable operation, the system may need to call up generator sets with higher carbon emissions. Therefore, the impact of this branch also needs to be increased accordingly.

[0037] By using three dimensions—transmission power ratio, current correction factor, and load factor—this step comprehensively characterizes the criticality of the branch in the power grid, the contribution of electricity consumption behavior to system losses, and the risks to safe operation, thereby constructing a quantitative indicator that can truly reflect the comprehensive impact of the branch on the power grid's operating status.

[0038] This gives us the extent of influence of each branch in each time window.

[0039] S22: Calculate the self-loss power of the target branch based on the current correction coefficient, effective value of the current, DC resistance value, current harmonic distortion rate and preset skin effect coefficient of each phase current in the target window.

[0040] The method for calculating the self-loss power of the target branch includes: calculating the square of the product of the current correction coefficient and the effective value of the current in the target window of the target phase current, and multiplying the square of this product by the DC resistance value of the target phase current to obtain a second product; calculating the square of the current harmonic distortion rate in the target window of the target phase current and the skin effect coefficient, and adding this product to 1 to obtain a second sum; multiplying the second product and the second sum to obtain a third product; and summing the third products corresponding to all phase currents of the target branch to obtain the self-loss power of the target branch. The specific formula is as follows: In the formula, This represents the power loss of the target branch within the target window. Indicates the total number of phases contained in the branch; The first branch of the target path The phase current correction factor within the target window; The first branch of the target path The effective value of the phase current; The first branch of the target path The DC resistance value of the phase current; 1 represents the reference loss coefficient without considering harmonics; This represents the skin effect coefficient, typically ranging from 0.5 to 2.0. The first branch of the target path The harmonic distortion rate of the phase current within the target window.

[0041] This represents the base loss power calculated based on the corrected current value, reflecting the heat loss generated by the corrected current across the wire resistance. The larger the value, the higher the harmonic content, resulting in a more significant skin effect, which increases the AC resistance of the conductor and causes more severe heat generation. This can be addressed by introducing a harmonic correction factor. This can more accurately reflect the additional contribution of harmonics to losses.

[0042] Since each branch operates for the same duration within the same time window, the difference between heat loss and power loss is only a fixed time constant. Therefore, this step directly uses the power loss of each branch as an equivalent representation of its heat loss for subsequent carbon emission allocation calculations.

[0043] Traditional methods for calculating line heat loss typically rely solely on DC resistance and RMS current, failing to adequately account for the skin effect caused by harmonics, which increases AC resistance, and the increase in RMS current due to three-phase current imbalance. Both of these factors can cause the actual heat generation of the conductor to far exceed the estimate based on DC resistance, resulting in a significant discrepancy between the calculation results of traditional methods and the actual heat loss.

[0044] This step precisely quantifies the loss contribution of each phase, taking into account the fluctuations, imbalances, and additional effects of harmonic distortion on the losses of each phase current. This makes the calculation results closer to the actual heat generation of the conductor, thus providing a more accurate basis for subsequent carbon emission allocation.

[0045] S23: Obtain the transmitted power of the target branch, and correct the baseline carbon emission factor of the target branch by combining the influence of the target branch in each time window and its own power loss.

[0046] The method for correcting the baseline carbon emission factor of the target branch includes: for each time window, calculating the product of the target branch's influence in that time window and its own power loss, obtaining a fourth product; summing the fourth products for each time window to obtain a third sum; calculating the ratio of the third sum to the power transmitted by the target branch during the data collection period; multiplying the sum of this ratio and 1 by the baseline carbon emission factor to obtain the corrected carbon emission factor of the target branch. The specific formula is as follows: In the formula, Indicates the corrected carbon emission factor for the target branch; The baseline carbon emission factor representing the target branch; The base coefficient representing the baseline carbon emission factor is used to correct the carbon emission factor to equal the baseline carbon emission factor when there are no additional losses. This indicates the number of all time windows included in the time period being collected; Indicates the target branch is in the th order. The degree of impact of each time window; Indicates the target branch is in the th order. The self-loss power of each time window; This indicates the amount of electricity transmitted by the target branch during the data collection period, which is obtained directly from the intelligent fusion terminal.

[0047] The larger the value, the greater the operational pressure the branch has placed on the power grid due to its poor current quality (such as severe fluctuations or unbalanced power factor). The branch needs to bear more carbon costs for the additional losses incurred by the power grid, thereby increasing its corrected carbon emission factor accordingly.

[0048] The larger the value, the greater the heat loss generated by the branch itself. Power loss is used as an equivalent representation of heat loss for carbon cost allocation.

[0049] The larger the value, the more electricity the branch consumes. With a fixed total additional carbon cost, the larger the electricity consumption, the lower the carbon cost per kilowatt-hour, and therefore the smaller the corrected carbon emission factor.

[0050] This step enables the dynamic allocation of the carbon cost of additional grid losses according to the actual impact and loss contribution of the branches, and normalizes it at the unit electricity level, ultimately obtaining a modified carbon emission factor that is directly linked to users' electricity consumption behavior.

[0051] Traditional methods typically treat carbon emissions from grid losses as a whole, implicitly including them in the total emissions from the power generation side, and assume that all users share these emissions proportionally based on their electricity consumption. This approach ignores the actual differences in the contribution of different users' electricity consumption behaviors to grid losses, leading to users with better electricity quality subsidizing those with poorer electricity consumption, resulting in a misallocation and unfair distribution of carbon responsibility.

[0052] This step quantifies the impact of factors such as branch current quality, load characteristics, and harmonic distortion on grid efficiency, and dynamically allocates the carbon emissions from grid losses according to the actual contribution of the branches. This establishes a direct link between carbon responsibility and the root causes of physical losses at the theoretical level, providing a scientific basis for the fair allocation of carbon reduction responsibilities.

[0053] S3: Based on the modified carbon emission factor, optimize power supply scheduling or intervene in electricity consumption behavior for each branch.

[0054] In the dispatching phase, a differentiated power supply strategy is implemented based on the modified carbon emission factor: priority is given to powering branches with lower modified carbon emission factors to incentivize high-quality electricity consumption; simultaneously, when conditions permit, electricity consumption behavior interventions are implemented for branches with extremely high modified carbon emission factors, such as issuing warnings or suggesting that they optimize equipment operation modes and install harmonic mitigation devices. Through these dispatching optimization and intervention measures, electricity consumption behavior is guided to improve at the system level, effectively reducing the overall carbon emission intensity of the entire network.

[0055] This application also discloses a carbon emission factor correction system for a smart converged terminal. The system includes a processor and a memory. The memory stores computer program instructions. When the computer program instructions are executed by the processor, the carbon emission factor correction method for a smart converged terminal according to the above embodiments of the present invention is implemented.

[0056] The system also includes other components well known to those skilled in the art, such as communication buses and communication interfaces, the settings and functions of which are known in the art and will not be described in detail here.

[0057] It should be noted that those skilled in the art can make various modifications and improvements without departing from the inventive concept, and these all fall within the scope of protection of this invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

Claims

1. A method for correcting carbon emission factors for intelligent converged terminals, characterized by, include: The operating parameters of each branch in the power grid are collected. The operating parameters include the instantaneous current value of each phase in each branch, the current harmonic distortion rate, the power factor, the rated current and DC resistance value of the conductor where the current is located, as well as the transmission power of each branch and the total transmission power of the power grid. The baseline carbon emission factors of each branch are corrected based on the operating parameters to obtain the corrected carbon emission factors. Based on the modified carbon emission factor, power supply scheduling optimization or electricity consumption behavior intervention is carried out for each branch. The calculation method for the corrected carbon emission factor includes: taking any branch as the target branch, taking any phase of the target branch as the target phase, dividing the collection period evenly into multiple time windows, taking any time window as the target window, calculating the current correction coefficient based on the instantaneous current value and power factor of the target phase current within the target window; calculating the effective value of each phase current based on the instantaneous current value of each phase current within the target window, and calculating the influence degree of the target branch by combining the rated current of each phase current, the current correction coefficient in the target window, the transmission power of the target branch, and the total transmission power of the power grid; calculating the self-loss power of the target branch based on the current correction coefficient, effective current value, DC resistance value, current harmonic distortion rate, and preset skin effect coefficient of each phase current in the target window; obtaining the transmission power of the target branch, and correcting the baseline carbon emission factor of the target branch by combining the influence degree of the target branch in each time window and its self-loss power.

2. The method for correcting carbon emission factors for intelligent converged terminals according to claim 1, wherein, The calculation method for the current correction coefficient includes: calculating the average current and current standard deviation based on the instantaneous current value of the target phase current within the target window; calculating the ratio of the current standard deviation to the average current; normalizing the ratio to obtain the coefficient of variation; calculating the average power factor of all phases in the target branch; calculating the absolute difference between the power factor of the target phase and the average value; normalizing the absolute difference; calculating the sum of the square of the coefficient of variation, the square of the normalized absolute difference, and the preset correction reference value; and using the square root of the sum as the current correction coefficient.

3. The method for carbon emission factor correction for intelligent converged terminals according to claim 2, characterized in that, When the average current of the instantaneous current of the target phase current within the target window is less than or equal to a preset threshold, the current correction coefficient of the target phase current within the target window is set to the correction reference value.

4. The method for correcting carbon emission factors for intelligent converged terminals according to claim 3, characterized in that, The preset threshold is 5% of the rated current of the conductor in which the target phase current is located.

5. The carbon emission factor correction method for a smart fusion terminal according to claim 1, characterized in that, The method for calculating the impact of the target branch includes: calculating the ratio of the effective value of the target phase current to its rated current, multiplying the ratio by the current correction coefficient of the target phase current in the target window to obtain the first product; calculating the first sum of the first products corresponding to the phase currents of the target branch; calculating the ratio of the transmission power of the target branch to the total transmission power of the power grid, and normalizing the product of the ratio and the first sum to obtain the impact.

6. The method for carbon emission factor correction for intelligent converged terminals according to claim 1, characterized in that, The method for calculating the self-loss power of the target branch includes: calculating the square of the product of the current correction coefficient and the effective value of the current of the target phase current in the target window, and multiplying the square of the product by the DC resistance value of the target phase current to obtain a second product; calculating the square of the current harmonic distortion rate of the target phase current in the target window by the skin effect coefficient, and adding the product to 1 to obtain a second sum; multiplying the second product and the second sum to obtain a third product; and adding the third products corresponding to all phase currents of the target branch to obtain the self-loss power of the target branch.

7. The method for carbon emission factor correction for intelligent converged terminal according to claim 1, characterized in that, The method for correcting the baseline carbon emission factor of the target branch includes: for each time window, calculating the product of the impact degree of the target branch in that time window and its own power loss, obtaining a fourth product; adding the fourth products corresponding to each time window to obtain a third sum; calculating the ratio of the third sum to the power transmitted by the target branch during the collection period; multiplying the sum of this ratio and 1 with the baseline carbon emission factor to obtain the corrected carbon emission factor of the target branch.

8. A carbon emission factor correction system for a smart converged terminal, characterized by, include: A processor and a memory, the memory storing computer program instructions that, when executed by the processor, implement the carbon emission factor correction method for a smart fusion terminal according to any one of claims 1-7.

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