A method and system for quantitative assessment of carbon emissions during transformer operation.

Abstract

This invention discloses a method and system for quantitatively assessing carbon emissions during transformer operation, belonging to the technical field of equipment carbon emission assessment. The method includes: determining the sources of carbon emissions from the transformer, including direct and indirect carbon emissions; for indirect carbon emissions, determining the transformer's power loss value within a specified time period, and determining the carbon dioxide equivalent of the power loss based on the power carbon dioxide emission factor; for direct carbon emissions, determining the transformer's fault gas generation within the specified time period, and determining the carbon dioxide equivalent of the fault gas generation based on the global warming potential; and quantifying the carbon emissions during the transformer operation phase within the specified time period based on the power loss and the carbon dioxide equivalent of the fault gas generation. This invention can accurately quantify the direct and indirect carbon emissions of transformers during operation, and can promote the low-carbon transformation and green development of the power industry.

Description

Technical Field

[0001] This invention relates to the field of equipment carbon emission assessment technology, and more specifically, to a method and system for quantitative assessment of carbon emissions during transformer operation. Background Technology

[0002] Carbon emissions from the power industry primarily refer to greenhouse gas emissions generated during the entire power sector's processes of power generation, transmission, and distribution. Power equipment, as devices used in the power system to produce, transform, transmit, distribute, and consume electrical energy, generates significant carbon emissions during operation, especially transformers, which are a major component of the power industry's carbon emissions. To reduce carbon emissions in the power industry, it is necessary to monitor transformer carbon emissions to facilitate subsequent monitoring and implementation of corresponding emission reduction measures. These measures include improving the energy efficiency of power equipment, promoting the use of clean energy, and optimizing the operation of power equipment.

[0003] However, conducting carbon emission quantification and evaluation of main power equipment based on life cycle assessment faces a dual challenge. First, transformers exhibit complex operating conditions, increasing the difficulty of accurately capturing and understanding the temporal variations in carbon emissions under these complex operating states. Second, given the typically long service life of transformers, accurately calculating and predicting their potential direct or indirect carbon emissions over their long-term operating cycle, combined with their actual operating conditions, presents a significant challenge. A review of extensive research literature reveals a lack of current studies on the quantification and evaluation of transformer equipment's own carbon emissions based on life cycle assessment. Most studies focus on rough estimates of carbon emissions during the operational phase based on empirical data, lacking research on accurately calculating and predicting the direct and indirect carbon emissions of main power equipment under long-term operating conditions.

[0004] Therefore, it is particularly important to conduct characteristic state parameters of main power equipment and construct an accurate carbon emission accounting model based on the complex operating conditions of power equipment. This can further optimize the low-carbon design concept of power equipment and guide the low-carbon operation mode of regional power systems, thereby promoting the low-carbon transformation of the energy and power industry. Summary of the Invention

[0005] To address the above problems, this invention proposes a method for quantitatively assessing carbon emissions during transformer operation, comprising:

[0006] Identify the sources of carbon emissions from the transformer, including both direct and indirect carbon emissions;

[0007] For indirect carbon emissions, determine the power loss value of the transformer within a specified time period, and determine the carbon dioxide equivalent of the power loss based on the power carbon dioxide emission factor.

[0008] For direct carbon emissions, the amount of gas generated by transformer faults within the specified time period is determined, and the carbon dioxide equivalent of the gas generated by faults is determined based on the global warming potential.

[0009] Based on the power loss and the carbon dioxide equivalent of fault-generated gas, the carbon emissions during the transformer operation phase within the specified time period are quantified.

[0010] Optionally, for indirect carbon emissions, the power loss of the transformer over a specified period of time is determined, including:

[0011] To address indirect carbon emissions, the no-load loss and load loss of the transformer are determined, and based on these losses, the power loss is determined.

[0012] The no-load loss is the iron loss;

[0013] The load loss is the loss.

[0014] Optionally, the formula for calculating power loss is as follows:

[0015] P t =P0×T+P T ×T×K 2 ×λ 2

[0016] Among them, P t P0 is the rated iron loss, and P is the electrical energy loss. T Where λ is the rated copper loss, T is the operating time, K is the root mean square current coefficient, and λ is the load factor.

[0017] Optionally, for direct carbon emissions, the amount of fault-generated gas from the transformer within the specified time period is determined, including:

[0018] For direct carbon emissions, a multiple linear regression model is established and simplified. The simplified multiple linear regression model is then estimated using the least squares method to predict the CO2 and CH4 emissions of the transformer over a specified time period.

[0019] Optionally, based on the electricity carbon dioxide emission factor and the global warming potential, the carbon emissions during the transformer operation phase within the specified time period are quantified, including:

[0020] Based on the aforementioned electricity carbon dioxide emission factor, the carbon dioxide equivalent of transformer power loss is determined using the following formula:

[0021] GHG 电力损耗 =P t ×EF 排放因子

[0022] Based on the aforementioned global warming potential, the carbon dioxide equivalent of gas generated during transformer faults is determined using the following formula:

[0023]

[0024] The carbon dioxide equivalent of transformer power loss and the carbon dioxide equivalent of gas generated during transformer faults are summed to obtain the carbon emissions during transformer operation.

[0025] Furthermore, this invention also proposes a system for quantitatively assessing carbon emissions during transformer operation, comprising:

[0026] An initial unit is used to determine the carbon emission sources of the transformer, including direct carbon emissions and indirect carbon emissions;

[0027] The first calculation unit is used to determine the power loss value of the transformer within a specified time for indirect carbon emissions, and to determine the carbon dioxide equivalent of the power loss based on the power carbon dioxide emission factor.

[0028] The second calculation unit is used to determine the amount of gas generated by the transformer during the specified time period for direct carbon emissions, and to determine the carbon dioxide equivalent of the gas generated during the fault based on the global warming potential.

[0029] An evaluation quantification unit is used to quantify the carbon emissions during the transformer operation phase within the specified time period, based on the power loss and the carbon dioxide equivalent of fault-generated gas.

[0030] Optionally, for indirect carbon emissions, determine the transformer's energy loss over a specified time period, including:

[0031] To address indirect carbon emissions, the no-load loss and load loss of the transformer are determined, and based on these losses, the power loss is determined.

[0032] The no-load loss is the iron loss;

[0033] The load loss is the loss.

[0034] Optionally, the formula for calculating power loss is as follows:

[0035] P t =P0×T+P T ×T×K 2 ×λ 2

[0036] Among them, P t P0 is the rated iron loss, and P is the electrical energy loss. T Where λ is the rated copper loss, T is the operating time, K is the root mean square current coefficient, and λ is the load factor.

[0037] Optionally, for direct carbon emissions, the amount of fault-generated gas from the transformer within the specified time period is determined, including:

[0038] For direct carbon emissions, a multiple linear regression model is established and simplified. The simplified multiple linear regression model is then estimated using the least squares method to predict the CO2 and CH4 emissions of the transformer over a specified time period.

[0039] Optionally, based on the power loss and the carbon dioxide equivalent of fault-generated gas, the carbon emissions during the transformer operation phase within the specified time period are quantified, including:

[0040] Based on the aforementioned electricity carbon dioxide emission factor, the carbon dioxide equivalent of transformer power loss is determined using the following formula:

[0041] GHG 电力损耗 =P t ×EF 排放因子

[0042] Based on the aforementioned global warming potential, the carbon dioxide equivalent of gas generated during transformer faults is determined using the following formula:

[0043]

[0044] The carbon dioxide equivalent of transformer power loss and the carbon dioxide equivalent of gas generated during transformer faults are summed to obtain the carbon emissions during transformer operation.

[0045] In another aspect, the present invention also provides a computing device, comprising: one or more processors;

[0046] A processor is used to execute one or more programs;

[0047] When the one or more programs are executed by the one or more processors, the method described above is implemented.

[0048] In another aspect, the present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed, implements the method described above.

[0049] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0050] This invention provides a method for quantitatively assessing carbon emissions during transformer operation, comprising: determining the sources of carbon emissions from the transformer, including direct and indirect carbon emissions; for indirect carbon emissions, determining the power loss value of the transformer within a specified time period, and determining the carbon dioxide equivalent of the power loss based on the power carbon dioxide emission factor; for direct carbon emissions, determining the fault gas generation of the transformer within the specified time period, and determining the carbon dioxide equivalent of the fault gas generation based on the global warming potential; and quantifying the carbon emissions during the transformer operation phase within the specified time period based on the power loss and the carbon dioxide equivalent of the fault gas generation. This invention can accurately quantify the direct and indirect carbon emissions of transformers during operation by constructing a transformer multiple linear regression gas generation model and a power loss model to comprehensively assess the carbon emissions of transformers. This method can not only capture the carbon emission characteristics of transformers under different operating conditions, but also combine historical operating data for long-term carbon emission prediction, helping power companies accurately monitor equipment carbon emissions, optimize equipment operation strategies, thereby effectively reducing carbon emissions and promoting the low-carbon transformation and green development of the power industry. Attached Figure Description

[0051] Figure 1 This is a flowchart of the method of the present invention;

[0052] Figure 2 This is a flowchart of an embodiment of the method of the present invention;

[0053] Figure 3 This is a diagram illustrating the carbon emission sources during the transformer operation phase in an embodiment of the method of the present invention.

[0054] Figure 4 This is a graph showing the predicted annual production of dissolved greenhouse gases in transformer oil according to an embodiment of the method of the present invention.

[0055] Figure 5 This is a diagram illustrating the calculation process of carbon dioxide equivalent emissions during the operation phase of a transformer, as described in an embodiment of the method of the present invention.

[0056] Figure 6 This is a structural diagram of the system of the present invention. Detailed Implementation

[0057] Exemplary embodiments of the invention will now be described with reference to the accompanying drawings. However, the invention may be embodied in many different forms and is not limited to the embodiments described herein. These embodiments are provided to fully and completely disclose the invention and to fully convey its scope to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the drawings is not intended to limit the invention. In the drawings, the same units / elements are referred to by the same reference numerals.

[0058] Unless otherwise stated, the terms used herein (including technical terms) have their common meaning as understood by one of ordinary skill in the art. Furthermore, it is understood that terms defined in commonly used dictionaries should be understood to have a meaning consistent with the context of their relevant field, and not to be interpreted as having an idealized or overly formal meaning.

[0059] Example 1:

[0060] This invention proposes a method for quantitatively assessing carbon emissions during transformer operation, such as... Figure 1 As shown, it includes:

[0061] Step 1: Determine the sources of carbon emissions from the transformer, including both direct and indirect carbon emissions.

[0062] Step 2: For indirect carbon emissions, determine the power loss value of the transformer within a specified time period, and determine the carbon dioxide equivalent of the power loss based on the power carbon dioxide emission factor.

[0063] Step 3: For direct carbon emissions, determine the amount of gas generated by the transformer during the specified time period, and determine the carbon dioxide equivalent of the gas generated during the fault based on the global warming potential.

[0064] Step 4: Based on the power loss and the carbon dioxide equivalent of fault gas generation, quantify the carbon emissions during the transformer operation phase within the specified time period.

[0065] Specifically, regarding indirect carbon emissions, the energy loss of the transformer over a specified period of time is determined, including:

[0066] To address indirect carbon emissions, the no-load loss and load loss of the transformer are determined, and based on these losses, the power loss is determined.

[0067] The no-load loss is the iron loss;

[0068] The load loss is the loss.

[0069] The formula for calculating power loss is as follows:

[0070] P t =P0×T+P T ×T×K 2 ×λ 2

[0071] Among them, P t P0 is the rated iron loss, and P is the electrical energy loss. T Where λ is the rated copper loss, T is the operating time, K is the root mean square current coefficient, and λ is the load factor.

[0072] Specifically, regarding direct carbon emissions, determining the amount of fault-generated gas from the transformer within the specified time period includes:

[0073] For direct carbon emissions, a multiple linear regression model is established and simplified. The simplified multiple linear regression model is then estimated using the least squares method to predict the CO2 and CH4 emissions of the transformer over a specified time period.

[0074] Specifically, based on the aforementioned electricity carbon dioxide emission factor and global warming potential, the carbon emissions during the transformer operation phase within the specified time period are quantified, including:

[0075] Based on the aforementioned electricity carbon dioxide emission factor, the carbon dioxide equivalent of transformer power loss is determined using the following formula:

[0076] GHG 电力损耗 =P t ×EF 排放因子

[0077] Based on the aforementioned global warming potential, the carbon dioxide equivalent of gas generated during transformer faults is determined using the following formula:

[0078]

[0079] The carbon dioxide equivalent of transformer power loss and the carbon dioxide equivalent of gas generated during transformer faults are summed to obtain the carbon emissions during transformer operation.

[0080] The invention will be further illustrated below with specific examples:

[0081] The process is as follows Figure 2 As shown, it includes:

[0082] The main steps can be described as follows: analysis of transformer carbon emission sources, calculation of annual power loss, prediction of annual gas production, and calculation of CO2 equivalent. The specific steps are as follows:

[0083] Step 1: Analysis of Carbon Emission Sources from Transformers

[0084] The carbon footprint of a transformer during operation includes greenhouse gas emissions (GHG emissions) generated directly or indirectly during operation. Specific emission sources include... Figure 3 As shown. Greenhouse gas classification is based on the IPCC National Greenhouse Gas Inventory Guidelines.

[0085] 1. Total greenhouse gas emissions from transformers:

[0086] GHG M =GHG 间接排放 +GHG直接排放 (1)

[0087] In the formula, GHG M It is the total greenhouse gas emissions (kgCO2e) from transformers; GHG 间接排放 It is the total indirect greenhouse gas emissions from transformers (kgCO2e); GHG 直接排放 It is the total direct greenhouse gas emissions from transformers (kgCO2e).

[0088] 2. Indirect greenhouse gas emissions from transformers:

[0089] Indirect greenhouse gas emissions from transformers refer to emissions from power losses between the transformer's incoming and outgoing lines.

[0090] GHG 间接排放 =GHG 电力损耗 (2)

[0091] In the formula, GHG 电力损耗 These are greenhouse gas emissions resulting from power losses between the transformer's incoming and outgoing lines.

[0092] 3. Direct greenhouse gas emissions from transformers:

[0093] Direct greenhouse gas emissions from transformers refer to greenhouse gases, including CO2 and CH4, generated during partial discharge or overheating faults in transformers. These emissions gradually increase with the extension of transformer operating time. The content of dissolved gases in the oil can be obtained through transformer oil chromatography analysis.

[0094]

[0095] In the formula, and These are CO2 and CH4 greenhouse gas emissions generated when a transformer experiences partial discharge or overheating faults.

[0096] Step 2: Calculation of annual energy loss:

[0097] The specific calculation method is as follows:

[0098] According to the "Power Factor Adjustment Electricity Fee Method" and the "Guangdong Province Transformer Loss and Power Factor Calculation Method and Lookup Table" commonly used by power grid companies when calculating transformer losses, the formula for transformer losses is as follows:

[0099] Transformer power loss (kWh) = No-load loss (kWh) + Load loss (kWh) (4)

[0100] No-load loss (kWh) = Rated iron loss (kW) × Time (h) (5)

[0101]

[0102] The transformer loss calculation time is based on 8760 hours per year. It can be seen that the annual loss value is related to the transformer's operating time, rated capacity, power factor, and load rate. Substituting these coefficients into the root mean square load calculation formula yields:

[0103]

[0104] In the formula: K is the root mean square current coefficient; P t P0 is the total power loss, kWh; P0 is the rated iron loss, kW. T Rated copper consumption, kW; T is annual operating time, taken as 8760h; S N The rated capacity of the transformer is kVA; λ is the power factor; λ is the load factor.

[0105] After calculation and analysis, the energy consumption formula for transformer operation can be simplified to:

[0106] P t =P0×T+P T ×T×K 2 ×λ 2 (8)

[0107] Since the electricity consumption calculated in the "Calculation Method and Lookup Table of Transformer Losses and Power Factor in Guangdong Province" is calculated in segments based on the user equipment utilization rate (i.e., load rate) of 0.3, 0.5, 0.7, and 1.0, the root mean square current coefficient K is initially estimated after integration using the corresponding typical load rate curve. The obtained root mean square current coefficient is shown in Table 1.

[0108] Table 1

[0109] load rate K 0.1 2.06 0.3 1.50 0.5 1.20 0.7 1.07 1.0 1.00

[0110] Step 3: Annual Gas Production Forecast:

[0111] The amount of dissolved gas emitted from transformer oil is related to the transformer's rated capacity, operating time, operating temperature, and load rate. This invention uses a multiple linear regression model to fit the relationship between them. The model construction process is as follows: Figure 4 As shown.

[0112] 1. Model Representation:

[0113] Assuming there are n observations, the dependent variable is the dissolved gas emission Y from transformer oil, and the independent variables are the transformer's rated capacity X1, operating time X2, operating temperature X3, and load rate X4. The multiple linear regression model can be expressed as:

[0114] Y i =β0+β1X i1 +β2Xi2 +β3X i3 +β4X i4 +ε i , i = 1, 2, ..., n (9)

[0115] in:

[0116] -β0 is the intercept term;

[0117] -β j Let be the regression coefficient of the j-th independent variable;

[0118] -ε i Let be a random error term, satisfying independent and identically distributed conditions, with an expected value of 0 and a variance of σ. 2 .

[0119] 2. Matrix Form: To simplify the representation, matrix form can be used:

[0120] Y=Xβ+ε (10)

[0121] in:

[0122] -Y is an n×1 dependent variable vector;

[0123] -X is an n×5 design matrix, with the first column being all 1s (corresponding to the intercept term) and the remaining columns being the independent variables;

[0124] -β is a 5×1 regression coefficient vector;

[0125] -ε is an n×1 error vector.

[0126] Specifically, it is expressed as follows:

[0127]

[0128] 3. Least squares estimation:

[0129] The goal is to find the regression coefficient β that minimizes the sum of squared residuals:

[0130] min β S(β)=(Y-Xβ) T (Y-Xβ) (12)

[0131] Take the derivative with respect to β and set the derivative to zero:

[0132]

[0133] The estimated values ​​of the regression coefficients are obtained:

[0134]

[0135] 4. Prediction:

[0136] Using the estimated regression coefficients, we can analyze the new independent variable data X. new Make a prediction:

[0137]

[0138] This allows us to obtain the CO2 and CH4 emissions of the transformer within a specified time range.

[0139] Step 4: CO2 equivalent calculation:

[0140] Different greenhouse gases contribute differently to the global warming effect. The Fourth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) indicates that carbon dioxide (CO2) contributes approximately 63% to the total warming effect, methane (CH4) approximately 18%, nitrous oxide (N2O) approximately 6%, and other gases approximately 13%. To standardize the measurement of the overall greenhouse effect, a unit of measurement is needed to compare the emissions of different greenhouse gases. Since CO2 contributes the most to the warming effect, carbon dioxide equivalent (CO2 equivalent) is designated as the basic unit for measuring the greenhouse effect. The calculation process for carbon dioxide equivalent emissions during transformer operation is as follows: Figure 5 As shown.

[0141] 1. Carbon dioxide equivalent of power loss:

[0142] GHG 输电损耗 =P t ×EF 排放因子 (16)

[0143] In the formula, EF 排放因子 This is the electricity emission factor, a coefficient used to correlate energy and material consumption with carbon dioxide emissions. Using updated data from the Ministry of Ecology and Environment's "2021 Electricity Carbon Dioxide Emission Factor," the national average electricity carbon dioxide emission factor in 2021 was 0.5568 (kgCO2 / kWh). Specific data by region are shown in Table 2.

[0144] Table 2

[0145] area <![CDATA[Factor (kgCO2 / kWh)]]> North China 0.7120 northeast 0.6012 East China 0.5992 Central China 0.5354 northwest 0.5951 south 0.4326 southwest 0.2113

[0146] 2. Carbon dioxide equivalent of the gas produced during the malfunction:

[0147] Since the greenhouse gases produced during transformer failure are only CO2 and CH4, it is only necessary to calculate the carbon dioxide equivalent of CH4.

[0148]

[0149] The global warming potential (GWP) in the formula is a coefficient used to correlate the effect of radiative forcing of a unit mass of a certain greenhouse gas over a given time period with the effect of the intensity of an equivalent amount of carbon dioxide radiation. The data published in the "General Rules for Accounting and Reporting of Greenhouse Gas Emissions from Industrial Enterprises (GB / T32150-2015)" are used. Table 3 shows the global warming potential (GWP) values ​​of CH4 over different time spans.

[0150] Table 3

[0151] 20 years 100 years 500 years <![CDATA[Methane (CH4)]]> 72 25 7.6

[0152] This invention provides an innovative solution for assessing carbon emissions from power equipment by precisely quantifying the direct and indirect carbon emissions of transformers during operation. It fully considers the complex operating characteristics of transformers under different conditions and combines a multiple linear regression model and an energy loss model. The multiple linear regression model accurately captures the direct carbon emission characteristics of transformers under different operating states, including but not limited to transformer commissioning time, voltage level, and rated capacity, thus providing a scientific basis for constructing carbon emission accounting models. The energy loss model, by analyzing the energy losses of transformers under no-load and load conditions, accurately quantifies their indirect carbon emissions, improving the accuracy and comprehensiveness of the assessment. Through this method, this invention can more effectively capture the carbon emission characteristics during transformer operation, thereby providing accurate assessment and prediction for power companies' equipment carbon emission monitoring and low-carbon management.

[0153] Compared to traditional carbon emission assessment methods in the power industry, this invention focuses on the transformer equipment itself, enabling precise quantitative assessment of carbon emissions from power equipment. This provides more reliable and detailed decision support for power companies' green management and low-carbon transformation. Furthermore, by combining a multiple linear regression model and an energy loss model, this invention improves the accuracy and adaptability of the carbon emission assessment model, allowing power companies to obtain more valuable carbon emission data at a given confidence level, thus better addressing the carbon reduction challenges in the power industry.

[0154] Example 2:

[0155] This invention also proposes a quantitative assessment system 200 for carbon emissions during transformer operation, such as... Figure 6 As shown, it includes:

[0156] The initial unit 201 is used to determine the carbon emission sources of the transformer, including direct carbon emissions and indirect carbon emissions.

[0157] The first calculation unit 202 is used to determine the power loss value of the transformer within a specified time for indirect carbon emissions, and to determine the carbon dioxide equivalent of the power loss based on the power carbon dioxide emission factor.

[0158] The second calculation unit 203 is used to determine the amount of gas generated by the transformer during the specified time period for direct carbon emissions, and to determine the carbon dioxide equivalent of the gas generated during the fault based on the global warming potential.

[0159] The evaluation quantification unit 204 is used to quantify the carbon emissions during the transformer operation phase within the specified time period based on the power loss and the carbon dioxide equivalent of fault gas generation.

[0160] Specifically, regarding indirect carbon emissions, the energy loss value of the transformer within a specified time period is determined, including:

[0161] To address indirect carbon emissions, the no-load loss and load loss of the transformer are determined, and based on these losses, the power loss is determined.

[0162] The no-load loss is the iron loss;

[0163] The load loss is the loss.

[0164] The formula for calculating power loss is as follows:

[0165] P t =P0×T+P T ×T×K 2 ×λ 2

[0166] Among them, P t P0 is the rated iron loss, and P is the electrical energy loss. T Where λ is the rated copper loss, T is the operating time, K is the root mean square current coefficient, and λ is the load factor.

[0167] Specifically, regarding direct carbon emissions, determining the amount of fault-generated gas from the transformer within the specified time period includes:

[0168] For direct carbon emissions, a multiple linear regression model is established and simplified. The simplified multiple linear regression model is then estimated using the least squares method to predict the CO2 and CH4 emissions of the transformer over a specified time period.

[0169] Among them, based on the carbon dioxide equivalent of the power loss and fault-generated gas, the carbon emissions during the transformer operation phase within the specified time period are quantified, including:

[0170] Based on the aforementioned electricity carbon dioxide emission factor, the carbon dioxide equivalent of transformer power loss is determined using the following formula:

[0171] GHG 电力损耗 =P t ×EF 排放因子

[0172] Based on the aforementioned global warming potential, the carbon dioxide equivalent of gas generated during transformer faults is determined using the following formula:

[0173]

[0174] The carbon dioxide equivalent of transformer power loss and the carbon dioxide equivalent of gas generated during transformer faults are summed to obtain the carbon emissions during transformer operation.

[0175] This invention can accurately quantify the direct and indirect carbon emissions of transformers during operation. By constructing a multiple linear regression gas generation model and an energy loss model for transformers, a comprehensive assessment of transformer carbon emissions is achieved. This method not only captures the carbon emission characteristics of transformers under different operating conditions but also combines historical operating data to predict long-term carbon emissions. This helps power companies accurately monitor equipment carbon emissions, optimize equipment operation strategies, and effectively reduce carbon emissions, thereby promoting the low-carbon transformation and green development of the power industry.

[0176] Example 3:

[0177] Based on the same inventive concept, this invention also provides a computer device, which includes a processor and a memory. The memory stores a computer program, which includes program instructions. The processor executes the program instructions stored in the computer storage medium. The processor may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing and control core of the terminal, suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in the computer storage medium to implement corresponding method flows or corresponding functions, thereby implementing the steps of the methods in the above embodiments.

[0178] Example 4:

[0179] Based on the same inventive concept, this invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device used to store programs and data. It is understood that the computer-readable storage medium here can include both the built-in storage medium in the computer device and extended storage media supported by the computer device. The computer-readable storage medium provides storage space that stores the terminal's operating system. Furthermore, this storage space also stores one or more instructions suitable for loading and execution by a processor. These instructions can be one or more computer programs (including program code). It should be noted that the computer-readable storage medium here can be high-speed RAM or non-volatile memory, such as at least one disk storage device. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the steps of the method in the above embodiments.

[0180] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The solutions in the embodiments of the present invention can be implemented using various computer languages, such as the object-oriented programming language Java and the interpreted scripting language JavaScript.

[0181] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0182] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0183] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0184] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0185] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for quantitatively assessing carbon emissions during transformer operation, characterized in that, include: Identify the sources of carbon emissions from the transformer, including both direct and indirect carbon emissions; For indirect carbon emissions, determine the power loss value of the transformer within a specified time period, and determine the carbon dioxide equivalent of the power loss based on the power carbon dioxide emission factor. For direct carbon emissions, the amount of gas generated by transformer faults within the specified time period is determined, and the carbon dioxide equivalent of the gas generated by faults is determined based on the global warming potential. Based on the power loss and the carbon dioxide equivalent of fault gas generation, the carbon emissions during the transformer operation phase within the specified time period are quantified. The determination of the transformer fault gas generation within the specified time period, in relation to direct carbon emissions, includes: For direct carbon emissions, a multiple linear regression model is established and simplified. The simplified multiple linear regression model is estimated using the least squares method to predict the CO2 and CH4 emissions of the transformer within a specified time period. The quantification of carbon emissions during the transformer operation phase within the specified time period, based on the electricity carbon dioxide emission factor and global warming potential, includes: Based on the aforementioned electricity carbon dioxide emission factor, the carbon dioxide equivalent of transformer power loss is determined using the following formula: GHG 电力损耗 =P t ×EF 排放因子 Where: P t For power loss; Based on the aforementioned global warming potential, the carbon dioxide equivalent of gas generated during transformer faults is determined using the following formula: in: The carbon dioxide equivalent of transformer power loss and the carbon dioxide equivalent of gas generated during transformer faults are summed to obtain the carbon emissions during transformer operation.

2. The method for quantitatively assessing carbon emissions during transformer operation as described in claim 1, characterized in that, The determination of transformer power loss over a specified time period, in relation to indirect carbon emissions, includes: To address indirect carbon emissions, the no-load loss and load loss of the transformer are determined, and based on these losses, the power loss is determined. The no-load loss is the iron loss; The load loss is the copper loss.

3. The method for quantitatively assessing carbon emissions during transformer operation as described in claim 2, characterized in that, The formula for calculating power loss is as follows: P t =P0×T+P T ×T×K 2 ×λ 2 Among them, P t P0 is the rated iron loss, and P is the electrical energy loss. T Where λ is the rated copper loss, T is the operating time, K is the root mean square current coefficient, and λ is the load factor.

4. A system for quantitatively assessing carbon emissions during transformer operation, characterized in that, include: An initial unit is used to determine the carbon emission sources of the transformer, including direct carbon emissions and indirect carbon emissions; The first calculation unit is used to determine the power loss value of the transformer within a specified time for indirect carbon emissions, and to determine the carbon dioxide equivalent of the power loss based on the power carbon dioxide emission factor. The second calculation unit is used to determine the amount of gas generated by the transformer during the specified time period for direct carbon emissions, and to determine the carbon dioxide equivalent of the gas generated during the fault based on the global warming potential. An evaluation quantification unit is used to quantify the carbon emissions during the transformer operation phase within the specified time period based on the power loss and the carbon dioxide equivalent of fault gas generation. The determination of the transformer fault gas generation within the specified time period, in relation to direct carbon emissions, includes: For direct carbon emissions, a multiple linear regression model is established and simplified. The simplified multiple linear regression model is estimated using the least squares method to predict the CO2 and CH4 emissions of the transformer within a specified time period. The quantification of carbon emissions during the transformer operation phase within the specified time period, based on the electricity carbon dioxide emission factor and global warming potential, includes: Based on the aforementioned electricity carbon dioxide emission factor, the carbon dioxide equivalent of transformer power loss is determined using the following formula: GHG 电力损耗 =P t ×EF 排放因子 Where: P t For power loss; Based on the aforementioned global warming potential, the carbon dioxide equivalent of gas generated during transformer faults is determined using the following formula: in: The carbon dioxide equivalent of transformer power loss and the carbon dioxide equivalent of gas generated during transformer faults are summed to obtain the carbon emissions during transformer operation.

5. The transformer operation phase carbon emission quantitative assessment system according to claim 4, characterized in that, The determination of transformer power loss values ​​over a specified time period for indirect carbon emissions includes: To address indirect carbon emissions, the no-load loss and load loss of the transformer are determined, and based on these losses, the power loss is determined. The no-load loss is the iron loss; The load loss is the copper loss.

6. The transformer operation phase carbon emission quantitative assessment system according to claim 4, characterized in that, The formula for calculating power loss is as follows: P t =P0×T+P T ×T×K 2 ×λ 2 Among them, P t P0 is the rated iron loss, and P is the electrical energy loss. T Where λ is the rated copper loss, T is the operating time, K is the root mean square current coefficient, and λ is the load factor.

7. A computer device, characterized in that, include: One or more processors; A processor is used to execute one or more programs; When the one or more programs are executed by the one or more processors, the method described in any one of claims 1-3 is implemented.

8. A computer-readable storage medium, characterized in that, It contains a computer program, which, when executed, implements the method as described in any one of claims 1-3.

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