A dynamic calculation method for regional power grid carbon emission factors

By calculating the initial carbon emission factor in the regional power grid and using the correction coefficient to correct it, the problem of large deviations from the actual results of the carbon emission factor calculation in the traditional method is solved, and the dynamic calculation and accuracy of the carbon emission factor are achieved.

CN120317538BActive Publication Date: 2025-08-26JIANGYIN CHANGYI GRP CO LTD
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Patent Information

Application Number
CN202510806708.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-06-17
Publication Date
2025-08-26
Estimated Expiration
2045-06-17

AI Technical Summary

Technical Problem

The traditional regional power grid carbon emission factor calculation method cannot track dynamic changes in power generation in real time, ignore the impact of load fluctuations on carbon emissions, and fail to make full use of the real-time data resources of the smart grid, resulting in a large deviation from the actual situation.

Method used

By obtaining the history and current power generation and carbon emissions of the regional power grid, the initial carbon emission factor is calculated, and the correction coefficient is used to correct it, taking into account the power generation changes and transmission losses, a hyperbolic tangent function and polynomial fitting process are introduced to obtain more accurate carbon emission factors.

Benefits of technology

Dynamic calculation of carbon emission factors is realized, reflecting changes in the operating status of the power grid and energy structure, improving calculation accuracy, and meeting the refined management needs of the smart grid.

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Abstract

The present invention relates to the field of data processing, and more specifically, to a method for dynamically calculating a regional power grid's carbon emission factor. The method comprises: obtaining the overall power generation of the regional power grid at each historical moment, as well as the power generation and carbon emissions of each power generation device at the current moment; calculating an initial carbon emission factor at the current moment; calculating a first correction coefficient; correcting the initial carbon emission factor using the first correction coefficient, calculating a second correction coefficient, and further correcting the corrected initial carbon emission factor using the second correction coefficient to accurately calculate the carbon emission factor. This improves the accuracy of carbon emission factor calculation.
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Description

Technical Field

[0001] The present invention relates to the field of data processing, and more specifically, to a method for dynamically calculating a carbon emission factor of a regional power grid. Background Art

[0002] As a key sector for carbon emissions, the power industry is crucial for accurately calculating the carbon emission factor of regional power grids. This factor reflects the carbon emissions per unit of electricity generated and transmitted by the regional power grid.

[0003] Traditional methods for calculating regional power grid carbon emission factors have significant flaws. First, they rely heavily on static data. When calculating carbon emissions from power generation sources, fixed carbon emission coefficients and historical average power generation data are often used. For example, for thermal power, these methods rely solely on the average carbon emission coefficient of coal measured over a fixed period, failing to account for the impact of technological advancements, equipment upgrades, improved coal combustion efficiency, or changes in fuel mix on carbon emissions. This makes the calculations unable to track the dynamic changes in carbon emissions during the power generation process in real time. Second, traditional methods inadequately consider the operational state of the power grid. When calculating the impact of transmission losses on carbon emission factors, empirical fixed loss rates are often used, failing to monitor the difference in power across the transmission line in real time to accurately determine the amount of power lost. Furthermore, they completely ignore the impact of load fluctuations on the operating efficiency and carbon emissions of power generation equipment. In actual power grid operation, load can fluctuate significantly throughout the day, even over short periods of time. For example, during peak hours in the morning and evening, load increases sharply, requiring some power generation equipment to increase output. This alters combustion conditions, reduces power generation efficiency, and increases carbon emissions per unit of power generated. Traditional calculation methods cannot reflect the changes in carbon emissions caused by load fluctuations, resulting in a large deviation between the calculated carbon emission factors and the actual situation.

[0004] With the accelerated progress of energy transition, the energy mix of regional power grids is becoming increasingly complex and undergoing significant dynamic changes. The proportion of clean energy sources such as hydropower, wind power, and photovoltaic power generation in the power grid continues to increase. The generation of these energy sources is intermittent and fluctuating. Hydropower is affected by season and precipitation, while wind and photovoltaic power are affected by sunlight and wind speed. For example, during the rainy season, hydropower generation increases significantly, while thermal power generation decreases accordingly. During cloudy or windless periods, wind and photovoltaic power generation output decreases sharply, requiring thermal power generation to supplement. This rapid shift in the energy mix renders traditional carbon emission factor calculation methods based on the assumption of a fixed energy mix inapplicable. Continuing to calculate the carbon emission contributions of different energy sources based on fixed proportions will inevitably lead to significant discrepancies between the calculated results and actual carbon emissions.

[0005] Furthermore, the development of smart grids places higher demands on the accuracy of carbon emission factor calculations. Smart grids deploy a large number of sensors and monitoring devices, which can collect a wealth of grid operation data in real time, including power generation, transmission losses, and load changes. This data enables more accurate calculation of carbon emission factors. However, existing carbon emission factor calculation methods fail to fully utilize these real-time data resources, resulting in data waste and failing to meet the requirements of refined smart grid management, optimized operation, and accurate carbon emission accounting. Therefore, it is urgent to develop a dynamic calculation method for regional power grid carbon emission factors that can reflect the grid's operating status in real time and adapt to dynamic changes in the energy structure. Summary of the Invention

[0006] To solve the problem of how to calculate an accurate carbon emission factor, the present invention proposes a dynamic calculation method for a regional power grid carbon emission factor, which includes the following steps:

[0007] Obtain the overall power generation of the regional power grid at each historical moment and the power generation and carbon emissions of each power generation device at the current moment;

[0008] Calculate the initial carbon emission factor at the current moment;

[0009] Calculate the first correction factor: , obtain the corresponding moment of the current moment from all historical moments of the previous days and record it as the reference moment. Calculate the difference in the degree of change in power generation at the current moment based on the overall power generation change at the reference moment and the previous and next moments; calculate the degree of impact of the power generation change on carbon emissions of each power generation equipment based on the impact of the power generation change on carbon emissions of each power generation equipment. Indicates the The impact of power generation changes on carbon emissions of various power generation equipment, Indicates the difference in the degree of power generation fluctuation at the current moment, represents the power generation of the i-th power generation equipment at the current moment, Indicates the number of types of power generation equipment, represents the first correction coefficient, represents the hyperbolic tangent function;

[0010] The initial carbon emission factor is corrected using the first correction coefficient to achieve dynamic calculation of the carbon emission factor.

[0011] The present invention corrects the initial carbon emission factor by a correction coefficient to obtain a more accurate carbon emission factor. Furthermore, when calculating the correction coefficient, considering that the carbon emission factor calculated using the carbon emissions and power generation at discrete moments cannot represent the continuous dynamic information of the carbon emission factor, the difference in carbon emission factors between the current moment and the previous and next collection moments is used to calculate the correction coefficient, so that the carbon emission factor corrected by the correction factor includes the carbon emission factor information in the interval time period between the current moment and the previous and next moments, so that the calculated carbon emission factor has continuous dynamic information. Furthermore, considering that the difference in power generation variation is the main factor causing the difference in carbon emission factor, the difference in the degree of variation in the interval time period between the previous and next moments and the degree of variation at the current moment are taken into account, thereby providing a basis for accurately calculating the difference information between the carbon emission factor in the interval time period and the carbon emission factor at the current moment. Furthermore, in order to obtain the difference information between the carbon emission factor in the interval time period and the carbon emission factor at the current moment, the degree of influence of the carbon emission amount change of the electricity quantity is introduced to reflect the influence of the change in the carbon emission factor of the electricity quantity, thereby providing a basis for the subsequent accurate calculation of the difference in carbon emission factor caused by the difference in power generation variation between the interval time period and the current moment.

[0012] Preferably, the calculation of the initial carbon emission factor at the current moment includes:

[0013] The current moment's total power generation is obtained by adding up the power generation of all power generation equipment, and the current moment's carbon emissions are divided by the total power generation to obtain the current moment's initial carbon emission factor.

[0014] The present invention reflects the initial carbon emission factor through the carbon emission per unit power generation at the current moment, and its calculation method is relatively simple and has high implementation efficiency.

[0015] Preferably, the calculation of the difference in the degree of change in power generation at the current moment based on the change between the reference moment and the previous and next moments includes:

[0016] The overall power generation of all historical moments before the pre-point moment is fitted with a polynomial to obtain the power generation change relationship formula, the mean of the derivatives of all data between the reference moment and the previous moment is obtained and recorded as the local pre-change degree mean of the reference moment, the mean of the derivatives of all data between the reference moment and the subsequent moment is obtained and recorded as the local post-change degree mean of the reference moment, the mean of the local pre-change degree means of all reference moments is calculated and processed to obtain the reference pre-change degree, the mean of the local post-change degree means of all reference moments is calculated and averaged to obtain the reference post-change degree, the mean of the reference pre-change degree and the reference post-change degree is averaged with the pre-change degree of the current moment to obtain the surrounding change degree of the current moment, the derivative of the power generation change relationship formula at the current moment is used as the change degree of the current moment; the difference between the change degree of the current moment and the surrounding change degree is recorded as the power generation change degree difference of the current moment.

[0017] When calculating the difference in the degree of change in power generation, the present invention not only takes into account the change law information before the current moment, but also reflects the change law after the current moment by introducing the change law information after the reference moment with similar change information, thereby comprehensively and accurately reflecting the difference between the degree of change at the current moment and the degree of change in the previous and next interval periods.

[0018] Preferably, the step of calculating the impact of power generation changes on carbon emissions of each power generation device based on the impact of power generation changes on carbon emissions of each power generation device includes:

[0019] Obtain the power generation and carbon emissions of each power generation device at each historical moment;

[0020] Obtain other historical moments of the power generation equipment whose power generation value difference from that of any power generation equipment at any historical moment is less than a preset threshold and record them as study moments, obtain the carbon emissions per unit power generation of the power generation equipment at the historical moment and the carbon emissions per unit power generation at the study moment, obtain the degree of change of the power generation equipment at the historical moment and the degree of change at the study moment, divide the difference between the carbon emissions per unit power generation of the power generation equipment at the historical moment and the carbon emissions per unit power generation at the study moment by the difference between the degree of change at the historical moment and the degree of change at the study moment to obtain the degree of influence of carbon emissions of electricity changes of the power generation equipment at the historical moment; record the average degree of influence of carbon emissions of electricity changes of this type of power generation equipment at all historical moments as the degree of influence of carbon emissions of electricity changes of this type of power generation equipment.

[0021] The present invention eliminates interference from other variables by comparing the carbon emissions per unit of power generation at historical moments with that at the research moment, and more accurately reflects the impact of changes in power generation on carbon emissions.

[0022] Preferably, the use of the first correction coefficient to correct the initial carbon emission factor includes:

[0023] The first carbon emission factor is obtained by multiplying the first correction coefficient by the initial carbon emission factor.

[0024] Preferably, after the initial carbon emission factor is corrected using the first correction coefficient, a second correction coefficient is calculated, and the corrected initial carbon emission factor obtained by the first correction coefficient is further corrected using the second correction coefficient.

[0025] Preferably, the method for obtaining the second correction coefficient includes:

[0026] Obtain the transmission loss of the overall power generation at the current moment;

[0027] Obtaining the carbon emission impact of each power generation device, where the carbon emission impact is positively correlated with the power generation of each power generation device at a current moment and the carbon emissions per unit power generation of each power generation device;

[0028] A second correction coefficient is calculated, where the second correction coefficient is positively correlated with the degree of impact of carbon emissions of each power generation equipment and the transmission loss.

[0029] The present invention reflects the carbon emission factor error caused by the transmission power loss through the second correction coefficient, thereby performing correction based on the second correction coefficient to obtain a more accurate carbon emission factor.

[0030] Preferably, obtaining the carbon emission impact of each power generation equipment includes:

[0031] Divide the power generation of each power generation equipment at the current moment by the overall power generation at the current moment to obtain the power generation proportion of each power generation equipment at the current moment; divide the carbon emissions of each power generation equipment at the current moment by the power generation to obtain the carbon emissions per unit power generation of each power generation equipment; multiply the power generation proportion of each power generation equipment at the current moment by the carbon emissions per unit power generation to obtain the impact degree of carbon emissions of each power generation equipment.

[0032] Preferably, the calculating of the second correction coefficient includes:

[0033] The second correction coefficient is obtained by adding 1 to the normalized value of the product of the cumulative sum of the carbon emission impact levels of all types of power generation equipment and the transmission loss.

[0034] Preferably, further correcting the corrected initial carbon emission factor obtained by using the second correction coefficient to correct the first correction coefficient includes:

[0035] The initial carbon emission factor corrected by the first correction coefficient is recorded as the first carbon emission factor, and the second carbon emission factor is obtained by multiplying the first carbon emission factor by the second correction coefficient.

[0036] The present invention has the following beneficial effects:

[0037] The present invention corrects the initial carbon emission factor by using a correction coefficient to obtain a more accurate carbon emission factor;

[0038] Furthermore, when calculating the correction coefficient, taking into account that the carbon emission factor calculated using the carbon emissions and power generation at discrete moments cannot represent the continuous dynamic information of the carbon emission factor, the correction coefficient is calculated using the difference in carbon emission factors between the current moment and the previous and next collection moments, so that the carbon emission factor corrected by the correction factor contains the carbon emission factor information in the interval between the current moment and the previous and next moments, thereby making the calculated carbon emission factor have continuous dynamic information;

[0039] Furthermore, considering that the difference in power generation fluctuation is the main factor causing the difference in carbon emission factors, the difference in the degree of fluctuation in the interval between the previous and next moments and the degree of fluctuation at the current moment is taken into account, thereby providing a basis for accurately calculating the difference information between the carbon emission factors in the interval and the carbon emission factors at the current moment;

[0040] Furthermore, in order to obtain the difference information between the carbon emission factor in the interval period and the carbon emission factor at the current moment, the degree of impact of electricity quantity change on carbon emissions is introduced to reflect the impact of electricity quantity change on the carbon emission factor, thereby providing a basis for the subsequent accurate calculation of the carbon emission factor difference caused by the difference in power generation change between the interval period and the current moment. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 This is a flowchart of the steps of a method for dynamically calculating a regional power grid carbon emission factor according to an embodiment of the present invention. DETAILED DESCRIPTION

[0042] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work shall fall within the scope of protection of the present invention.

[0043] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0044] See also Figure 1, which shows a flowchart of a method for dynamically calculating a regional power grid carbon emission factor according to an embodiment of the present invention, the method comprising the following steps:

[0045] S1: Obtain the overall power generation of the regional power grid at each historical moment and the power generation and carbon emissions of each power generation device at the current moment.

[0046] Specifically, the total power generation of the regional power grid at each historical moment is collected at a preset interval, and recorded as the overall power generation. This embodiment uses a preset interval of 15 minutes as an example. Other embodiments may use other values, and this embodiment does not specifically limit this.

[0047] Get the power generation of each power generation equipment at the current moment.

[0048] It should be noted that the overall power generation is the sum of the power generation of all types of power generation equipment at a moment.

[0049] S2: Calculate the initial carbon emission factor at the current moment.

[0050] Preferably, as an example, calculating the initial carbon emission factor at the current moment includes:

[0051] The current moment's total power generation is obtained by adding up the power generation of all power generation equipment, and the current moment's carbon emissions are divided by the total power generation to obtain the current moment's initial carbon emission factor.

[0052] It is understandable that the initial carbon emission factor is reflected by the carbon emissions per unit of electricity generation. The larger the value, the greater the carbon emissions per unit of electricity generation.

[0053] S3: Calculate the first correction coefficient.

[0054] It should be noted that the initial carbon emission factor only reflects the carbon emission factor at the time of collection. Because collection times are discrete, using carbon emissions at discrete sampling times cannot represent the continuous dynamics of the emission factor. For example, the carbon emission factor may change between one collection time and the previous, and may also change between one collection time and the next. Using only the carbon emission factor at a particular collection time cannot reflect the continuous dynamics. To reflect the continuous dynamics of the carbon emission factor, it is necessary to consider the carbon emission factor changes between collection times.

[0055] It should be further clarified that the carbon emission factor represents the carbon emissions per unit of electricity generated. Fluctuations in the power generation of power generation equipment will cause fluctuations in the carbon emissions per unit of electricity generated. Because the degree of fluctuation in power generation at the time of collection differs from the degree of fluctuation between collection times, the carbon emissions per unit of electricity generated between collection times differ from the carbon emissions per unit of electricity generated at the time of collection. To describe the continuous dynamics of carbon emissions, it is necessary to consider the difference between the carbon emission factor under the degree of fluctuation in power generation between collection times and the carbon emission factor under the degree of fluctuation in current power generation. For example, during peak hours in the morning and evening, the degree of fluctuation in power generation between collection times differs from the degree of fluctuation at the time of collection. This difference in fluctuation leads to different power generation efficiencies between collection times, so the carbon emission factor at the time of collection cannot reflect the carbon emission factor between collection times. Therefore, to understand the continuous dynamics of the carbon emission factor, it is necessary to study the difference between the carbon emission factor under the degree of fluctuation in power generation between collection times and the carbon emission factor under the degree of fluctuation in power generation at the current time, and then correct the carbon emission factor obtained at the time of collection.

[0056] Preferably, as an example, calculating the first correction coefficient includes:

[0057] , obtain the corresponding moment of the current moment from all historical moments of the previous days and record it as the reference moment. Calculate the difference in power generation change based on the overall power generation change between the reference moment and the moments before and after. Calculate the impact of power generation change on carbon emissions of each power generation equipment based on the impact of power generation change on carbon emissions of each power generation equipment. Indicates the The impact of power generation changes on carbon emissions of various power generation equipment, Indicates the difference in the degree of power generation fluctuation at the current moment, represents the power generation of the i-th power generation equipment at the current moment, Indicates the number of types of power generation equipment, represents the first correction coefficient, represents the hyperbolic tangent function.

[0058] It is understandable that It reflects the change in carbon emission factor under the change of unit power generation. The larger the value, the greater the impact of power generation change on the carbon emission factor. Therefore, if the power generation change at the surrounding moments of the current moment is significantly different from the power generation change at the current moment, the greater the correction to the initial emission factor calculated at the current moment. It reflects the difference between the power generation change of the power generation equipment at the current moment and the power generation change at the surrounding moments. The larger the value, the greater the difference between the power generation change of the power generation equipment at the current moment and the power generation change at the surrounding moments. Therefore, in order to obtain the continuous dynamic situation of the power generation factor, more corrections need to be made to the power generation factor at the current moment.

[0059] The above embodiments involve the difference in the degree of change in power generation between the reference moment and the current moment, and the degree of impact of power change on carbon emissions. The following describes a method for determining the difference in the degree of change in power generation between the reference moment and the current moment, and the degree of impact of power change on carbon emissions.

[0060] First, the method of obtaining the reference time is introduced.

[0061] Preferably, as an example, the method for obtaining the reference time includes:

[0062] The historical moment with the same time point as the current moment is obtained from all the historical moments of the previous days and recorded as the reference moment of the current moment.

[0063] For example, if the current time is 12 noon, then the historical moments with a time point of 12 noon in all the historical moments of the previous days are obtained as the reference time of the current time.

[0064] It should be noted that since only electricity consumption data for the current moment and before is collected, and electricity consumption data for the current moment and after has not yet been collected, similar data from previous days can be used for analysis. Since electricity consumption at the same time point on different days is similar, historical moments corresponding to the current moment can be used to obtain the difference in electricity consumption between the current moment and the collection time.

[0065] Then the method of obtaining the difference in the degree of power generation fluctuation is introduced.

[0066] Optionally, as an example, a method for obtaining the difference in power generation variation degree includes:

[0067] The overall power generation of all historical moments before the current moment is fitted with a polynomial to obtain the power generation change relationship formula. The mean of the derivatives of all data between the current moment and the previous moment is recorded as the previous change degree mean. The derivative of the power generation change relationship formula at the current moment is recorded as the change degree at the current moment. The difference between the change degree at the current moment and the mean of the previous change degree is recorded as the power generation change degree difference at the current moment.

[0068] It should be noted that the above method of obtaining the difference in the degree of change in power generation only considers the change information before the current moment, and does not consider the change information after the current moment. This method cannot fully and accurately reflect the change information between the collection moments corresponding to the current moment.

[0069] Preferably, as an example, the method for obtaining the difference in the degree of power generation variation includes:

[0070] The power generation variation equation is obtained by fitting a polynomial to the overall power generation at all historical moments before the point before the point. The mean of the derivatives of the power generation variation equation for all data between the reference moment and the previous moment is recorded as the local pre-variation mean at the reference moment. The mean of the derivatives of the power generation variation equation for all data between the reference moment and the next moment is recorded as the local post-variation mean at the reference moment. The mean of the local pre-variation means at all reference moments is calculated to obtain the reference pre-variation. The mean of the local post-variation means at all reference moments is calculated to obtain the reference post-variation. The mean of the reference pre-variation and reference post-variation means is then added to the pre-variation mean at the current moment to obtain the surrounding variation. The derivative of the power generation variation equation at the current moment is used as the variation at the current moment. The difference between the variation at the current moment and the surrounding variation is recorded as the power generation variation difference at the current moment.

[0071] Finally, the method of obtaining the impact of electricity changes on carbon emissions is introduced.

[0072] Optionally, as an example, a method for obtaining the impact of electricity consumption changes on carbon emissions includes:

[0073] The carbon emissions of this type of power generation equipment at the current moment are divided by the power generation to obtain the initial carbon emission factor of this type of power generation equipment at the current moment, and the carbon emissions per unit power generation of this type of power generation equipment at the moment before the current moment are obtained. The carbon emissions per unit power generation of this type of power generation equipment at the current moment are subtracted from the carbon emissions per unit power generation of this type of power generation equipment at the previous moment, and then divided by the difference between the degree of change at the current moment and the degree of change at the previous moment to obtain the impact degree of carbon emissions of electricity changes at the current moment.

[0074] It's important to note that the above method for calculating the impact of electricity fluctuations on carbon emissions doesn't account for the impact of differences in power generation load on the carbon emission factor. In other words, if the current power generation load is 10 and the previous load was 5, not only will the degree of fluctuation differ, but the power generation load will also differ. If power generation load also affects the carbon emission factor, then failing to control for this variable will result in inaccurate calculations of the impact of electricity fluctuations on carbon emissions.

[0075] Preferably, as an example, a method for obtaining the impact degree of carbon emissions due to electricity consumption changes includes:

[0076] Obtain the power generation and carbon emissions of each power generation device at each historical moment;

[0077] Obtain other historical moments of the power generation equipment whose power generation value difference from that of any historical moment is less than a preset threshold and record them as study moments, obtain the carbon emissions per unit power generation of the power generation equipment at the historical moment and the carbon emissions per unit power generation at the study moment, obtain the degree of change of the power generation equipment at the historical moment and the degree of change at the study moment, divide the difference between the carbon emissions per unit power generation of the power generation equipment at the historical moment and the carbon emissions per unit power generation at the study moment by the difference between the degree of change at the historical moment and the degree of change at the study moment to obtain the degree of influence of carbon emissions of electricity changes of the power generation equipment at the historical moment; record the average degree of influence of carbon emissions of electricity changes of this type of power generation equipment at all historical moments as the degree of influence of carbon emissions of electricity changes of this type of power generation equipment.

[0078] It can be understood that the difference in power generation between the historical moment and the research moment is small, so the main factor causing the difference in carbon emission factors between the historical moment and the research moment is the change difference. Therefore, by controlling the variables in this way, the accurate impact of electricity change on carbon emissions can be obtained.

[0079] S4: Use the first correction coefficient to correct the initial carbon emission factor to achieve dynamic calculation of the carbon emission factor.

[0080] S40: Correct the initial carbon emission factor using the first correction coefficient.

[0081] Preferably, as an example, the initial carbon emission factor is corrected using the first correction coefficient, including:

[0082] The first correction coefficient is multiplied by the initial carbon emission factor at the current moment to obtain the first carbon emission factor at the current moment.

[0083] S41: After correcting the initial carbon emission factor using the first correction coefficient, a second correction coefficient is calculated, and the corrected initial carbon emission factor obtained by the first correction coefficient is further corrected using the second correction coefficient.

[0084] It should be noted that because the power grid incurs some power losses during transmission, these losses reduce the effective power consumption. Therefore, the first carbon emission factor is calculated based on overall power generation data, not effective power consumption. Therefore, the carbon emission factor calculated this way is slightly lower. To obtain the carbon emission factor based on effective power consumption, the impact of power losses caused by transmission on the carbon emission factor must be considered.

[0085] S410: Calculate a second correction coefficient.

[0086] It's important to note that different types of power generation equipment produce different amounts of carbon emissions per unit of power generation. For example, hydropower and wind power produce virtually no carbon emissions, while thermal power produces a higher carbon emission. Therefore, if hydropower or wind power accounts for a larger proportion of overall power generation, the impact of power losses on the carbon emission factor will be smaller. However, if thermal power accounts for a larger proportion of overall power generation, power losses will have a greater impact on the carbon emission factor. Therefore, when adjusting the carbon emission factor to account for power losses, the power generation mix of different types of power generation equipment must be considered.

[0087] Preferably, as an example, calculating the second correction coefficient includes:

[0088] Obtain the transmission loss of the overall power generation at the current moment;

[0089] Divide the power generation of each power generation equipment at the current moment by the overall power generation at the current moment to obtain the power generation proportion of each power generation equipment at the current moment; divide the carbon emissions of each power generation equipment at the current moment by the power generation to obtain the carbon emissions per unit power generation of each power generation equipment; multiply the power generation proportion of each power generation equipment at the current moment by the carbon emissions per unit power generation to obtain the impact degree of carbon emissions of each power generation equipment.

[0090] The second correction coefficient is obtained by adding 1 to the normalized value of the product of the cumulative sum of the carbon emission impact levels of all types of power generation equipment and the transmission loss.

[0091] It is understandable that the carbon emissions impact reflects the carbon emissions of each type of power generation equipment. A larger value indicates a greater carbon emissions impact for that type of power generation equipment. The second correction factor reflects the change in the carbon emissions factor caused by transmission losses.

[0092] S411: Further correct the corrected initial carbon emission factor obtained by the first correction coefficient using the second correction coefficient.

[0093] Preferably, as an example, further correcting the corrected initial carbon emission factor obtained by the first correction coefficient using the second correction coefficient includes:

[0094] The second carbon emission factor is obtained by multiplying the first carbon emission factor by the second correction factor.

[0095] At this point, this embodiment is completed.

[0096] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A dynamic calculation method for regional power grid carbon emission factors, characterized in that: include: Obtain the overall power generation of the regional power grid at each historical moment and the power generation and carbon emissions of each power generation device at the current moment; Calculate the initial carbon emission factor at the current moment, including: The current moment's total power generation is obtained by summing up the power generation of all power generation equipment, and the current moment's carbon emissions are divided by the total power generation to obtain the current moment's initial carbon emission factor; The difference in power generation variation at the current moment is calculated based on the overall power generation variation at the reference moment and the moments before and after, including: The overall power generation of all historical moments before the pre-point moment is fitted with a polynomial to obtain a power generation variation relationship, the mean of the derivatives of the power generation variation relationship between the reference moment and the previous moment is obtained and recorded as the local pre-variation degree mean of the reference moment, the mean of the derivatives of the power generation variation relationship between the reference moment and the subsequent moment is obtained and recorded as the local post-variation degree mean of the reference moment, the mean of the local pre-variation degree means of all reference moments is calculated and processed to obtain the reference pre-variation degree, the mean of the local post-variation degree means of all reference moments is calculated and averaged to obtain the reference post-variation degree, the mean of the reference pre-variation degree and the reference post-variation degree is then averaged with the pre-variation degree of the current moment to obtain the surrounding variation degree of the current moment, the derivative of the power generation variation relationship at the current moment is used as the variation degree of the current moment, and the difference between the variation degree of the current moment and the surrounding variation degree is recorded as the power generation variation degree difference of the current moment; The impact of each power generation equipment's power generation change on carbon emissions is calculated based on the impact of each power generation equipment's power generation change on carbon emissions, including: Obtain the power generation and carbon emissions of each power generation device at each historical moment; Obtain other historical moments of the power generation equipment at which the difference between the power generation value of any power generation equipment and that of any historical moment is less than a preset threshold and record them as research moments, obtain the carbon emissions per unit power generation of the power generation equipment at the historical moment and the carbon emissions per unit power generation at the research moment, obtain the degree of change of the power generation equipment at the historical moment and the degree of change at the research moment, divide the difference between the carbon emissions per unit power generation of the power generation equipment at the historical moment and the carbon emissions per unit power generation at the research moment by the difference between the degree of change at the historical moment and the degree of change at the research moment to obtain the degree of influence of carbon emissions of electricity change of the power generation equipment at the historical moment; record the average degree of influence of carbon emissions of electricity change of this type of power generation equipment at all historical moments as the degree of influence of carbon emissions of electricity change of this type of power generation equipment; Calculate the first correction factor: , obtain the corresponding moment of the current moment from all historical moments of the previous days and record it as the reference moment. Calculate the difference in the degree of change in power generation at the current moment based on the overall power generation change at the reference moment and the previous and next moments; calculate the degree of impact of the power generation change on carbon emissions of each power generation equipment based on the impact of the power generation change on carbon emissions of each power generation equipment. Indicates the The impact of power generation changes on carbon emissions of various power generation equipment, Indicates the difference in the degree of change in power generation at the current moment, represents the power generation of the i-th power generation equipment at the current moment, Indicates the number of types of power generation equipment, represents the first correction coefficient, represents the hyperbolic tangent function; The initial carbon emission factor is corrected using the first correction coefficient to achieve dynamic calculation of the carbon emission factor.

2. The method for dynamically calculating the carbon emission factor of a regional power grid according to claim 1, characterized in that: The correcting the initial carbon emission factor using the first correction coefficient includes: The first carbon emission factor is obtained by multiplying the first correction coefficient by the initial carbon emission factor.

3. The method for dynamically calculating the carbon emission factor of a regional power grid according to claim 1, characterized in that: After the initial carbon emission factor is corrected using the first correction coefficient, a second correction coefficient is calculated, and the corrected initial carbon emission factor obtained by the first correction coefficient is further corrected using the second correction coefficient.

4. The method for dynamically calculating the carbon emission factor of a regional power grid according to claim 3, characterized in that: The method for obtaining the second correction coefficient includes: Obtain the transmission loss of the overall power generation at the current moment; Obtaining the carbon emission impact of each power generation device, where the carbon emission impact is positively correlated with the power generation of each power generation device at a current moment and the carbon emissions per unit power generation of each power generation device; A second correction coefficient is calculated, where the second correction coefficient is positively correlated with the degree of impact of carbon emissions of each power generation equipment and the transmission loss.

5. The method for dynamically calculating the carbon emission factor of a regional power grid according to claim 4, characterized in that: Obtaining the carbon emission impact of each power generation equipment includes: Divide the power generation of each power generation equipment at the current moment by the overall power generation at the current moment to obtain the power generation proportion of each power generation equipment at the current moment; divide the carbon emissions of each power generation equipment at the current moment by the power generation to obtain the carbon emissions per unit power generation of each power generation equipment; multiply the power generation proportion of each power generation equipment at the current moment by the carbon emissions per unit power generation to obtain the impact degree of carbon emissions of each power generation equipment.

6. The method for dynamically calculating the carbon emission factor of a regional power grid according to claim 3, characterized in that: The calculating of the second correction coefficient includes: The second correction coefficient is obtained by adding 1 to the normalized value of the product of the cumulative sum of the carbon emission impact levels of all types of power generation equipment and the transmission loss.

7. The method for dynamically calculating the carbon emission factor of a regional power grid according to claim 3, characterized in that: The further correction of the corrected initial carbon emission factor obtained by the first correction coefficient using the second correction coefficient includes: The initial carbon emission factor corrected by the first correction coefficient is recorded as the first carbon emission factor, and the second carbon emission factor is obtained by multiplying the first carbon emission factor by the second correction coefficient.

Citation Information

Patent Citations

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