Transformer operation stage carbon emission quantitative evaluation method and system

Abstract

The invention discloses a transformer operation stage carbon emission quantitative evaluation method and system, and belongs to the technical field of equipment carbon emission evaluation. The method comprises the steps that carbon emission sources of the transformer are determined, and the carbon emission sources comprise direct carbon emission and indirect carbon emission; aiming at indirect carbon emission, determining an electric energy loss value of the transformer within appointed time, and determining a carbon dioxide equivalent of electric power loss based on an electric power carbon dioxide emission factor; aiming at the direct carbon emission, determining the fault gas production rate of the transformer within the appointed time, and determining the carbon dioxide equivalent of the fault gas production based on the global warming potential value; and based on the power loss and the carbon dioxide equivalent of the fault produced gas, quantizing the carbon emission in the operation stage of the transformer within the specified time. According to the method, direct and indirect carbon emission of the transformer in the operation stage can be accurately quantified, and low-carbon transformation and green development of the power industry can be promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment carbon emission assessment, and more specifically, to a method and system for quantitatively assessing carbon emissions during a transformer operation phase. Background Art

[0002] Carbon emissions in the power industry mainly refer to greenhouse gas emissions generated by the entire power industry during power generation, transmission, and distribution. As equipment used to produce, transform, transmit, distribute, and consume electric energy in the power system, power main equipment will generate a large amount of carbon emissions during operation, especially transformers, which are an important part of carbon emissions in the power industry. In order to reduce carbon emissions in the power industry, it is necessary to pay attention to the carbon emissions of transformers, monitor transformer carbon emissions in the future, and take corresponding measures to reduce emissions, including improving the energy efficiency of power main equipment, promoting the use of clean energy, and optimizing the operation mode of power main equipment.

[0003] However, there are two challenges in the quantification and evaluation of carbon emissions from main power equipment based on life cycle assessment. First, transformers exhibit complex working conditions during operation, which increases the difficulty of accurately capturing and understanding the temporal variation characteristics of carbon emissions under these complex operating conditions; second, given that transformers usually have a long service life, it is very challenging to accurately calculate and predict the direct or indirect carbon emissions that may be generated during their long-term operation cycle in combination with the actual operating status of the equipment. After reviewing a large number of research papers, it is found that there are currently few studies on the quantification and evaluation of carbon emissions from transformer equipment based on life cycle assessment. Most of them focus on making rough estimates of carbon emissions during the operation phase based on empirical data, and lack of accurate calculation and prediction of direct and indirect carbon emissions from main power equipment under long-term operation.

[0004] Therefore, it is particularly important to develop the characteristic state parameters of the main power equipment and build 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 the regional power system, thereby promoting the low-carbon transformation of the energy and power industry. Summary of the invention

[0005] In view of the above problems, the present invention proposes a method for quantitatively evaluating carbon emissions during transformer operation, comprising:

[0006] Determine the carbon emission sources of the transformer, the carbon emission sources include: direct carbon emission and indirect carbon emission;

[0007] For indirect carbon emissions, determine the power loss value of the transformer within a specified time, and determine the CO2 equivalent of the power loss based on the power CO2 emission factor;

[0008] For direct carbon emissions, determine the amount of fault gas produced by the transformer within the specified time, and determine the carbon dioxide equivalent of the fault gas based on the global warming potential value;

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

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

[0011] For indirect carbon emissions, determine the no-load loss and load loss of the transformer, and determine the power loss based on the no-load loss and load loss;

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

[0013] The load loss is the loss.

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

[0015] P t =P0×T+P T ×T×K 2 ×λ 2

[0016] Among them, P t is the power loss, P0 is the rated iron loss, P T is the rated copper loss, T is the operating time, K is the RMS current coefficient, and λ is the load rate.

[0017] Optionally, for direct carbon emissions, the fault gas production of the transformer within the specified time is determined, including:

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

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

[0020] Based on the electricity CO2 emission factor, the CO2 equivalent of transformer power loss is determined using the following calculation formula:

[0021] GHG 电力损耗 =P t ×EF 排放因子

[0022] Based on the global warming potential value, the carbon dioxide equivalent of the gas produced by the transformer fault is determined, and the calculation formula is as follows:

[0023]

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

[0025] On the other hand, the present invention also proposes a transformer operation phase carbon emission quantitative assessment system, comprising:

[0026] An initial unit, used to determine the carbon emission sources of the transformer, wherein the carbon emission sources include: direct carbon emission and indirect carbon emission;

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

[0028] A second calculation unit is used to determine the fault gas production of the transformer within the specified time for direct carbon emissions, and determine the carbon dioxide equivalent of the fault gas production based on the global warming potential value;

[0029] The evaluation and quantification unit is used to quantify the carbon emissions of the transformer operation stage within the specified time based on the carbon dioxide equivalent of the power loss and fault gas generation.

[0030] Optionally, for indirect carbon emissions, determine the transformer power loss value within a specified time, including:

[0031] For indirect carbon emissions, determine the no-load loss and load loss of the transformer, and determine the power loss based on the no-load loss and load loss;

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

[0033] The load loss is the loss.

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

[0035] P t =P0×T+P T ×T×K 2 ×λ 2

[0036] Among them, P t is the power loss, P0 is the rated iron loss, P T is the rated copper loss, T is the operating time, K is the RMS current coefficient, and λ is the load rate.

[0037] Optionally, for direct carbon emissions, the fault gas production of the transformer within the specified time is determined, including:

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

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

[0040] Based on the electricity CO2 emission factor, the CO2 equivalent of transformer power loss is determined using the following calculation formula:

[0041] GHG 电力损耗 =P t ×EF 排放因子

[0042] Based on the global warming potential value, the carbon dioxide equivalent of the gas produced by the transformer fault is determined, and the calculation formula is as follows:

[0043]

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

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

[0046] a processor for executing one or more programs;

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

[0048] In yet another aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed, the method described above is implemented.

[0049] Compared with the prior art, the present invention has the following beneficial effects:

[0050] The present invention provides a method for quantitatively evaluating carbon emissions during the operation phase of a transformer, including: determining the source of carbon emissions of the transformer, the source of carbon emissions including: direct carbon emissions and indirect carbon emissions; for indirect carbon emissions, determining the power loss value of the transformer within a specified time, 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 production of the transformer within the specified time, and determining the carbon dioxide equivalent of the fault gas production based on the global warming potential; based on the power loss and the carbon dioxide equivalent of the fault gas production, quantifying the carbon emissions of the transformer during the operation phase within the specified time. The present invention can accurately quantify the direct and indirect carbon emissions of the transformer during the operation phase, and comprehensively evaluate the carbon emissions of the transformer by constructing a transformer multivariate linear regression gas production model and a power loss model. This method can not only capture the carbon emission characteristics of the transformer under different working conditions, but also combine historical operation data to make long-term carbon emission predictions, help 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. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 is a flow chart of the method of the present invention;

[0052] Figure 2 is a flow chart of an embodiment of the method of the present invention;

[0053] Figure 3 This is a carbon emission source analysis diagram for the transformer operation stage of the method embodiment of the present invention;

[0054] Figure 4 A forecast diagram of annual production of greenhouse gases dissolved in transformer oil according to an embodiment of the method of the present invention;

[0055] Figure 5 A diagram showing a calculation process of carbon dioxide equivalent of carbon emissions during the transformer operation phase according to an embodiment of the method of the present invention;

[0056] Figure 6 It is a structural diagram of the system of the present invention. DETAILED DESCRIPTION

[0057] Now, exemplary embodiments of the present invention are described with reference to the accompanying drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. These embodiments are provided to disclose the present invention in detail and completely and to fully convey the scope of the present invention to those skilled in the art. The terms used in the exemplary embodiments shown in the accompanying drawings are not intended to limit the present invention. In the accompanying drawings, the same units / elements are marked with the same reference numerals.

[0058] Unless otherwise specified, the terms (including technical terms) used herein have the commonly understood meanings to those skilled in the art. In addition, it is understood that the terms defined in commonly used dictionaries should be understood to have the same meanings as those in the context of the relevant fields, and should not be understood as idealized or overly formal meanings.

[0059] Embodiment 1:

[0060] The present invention proposes a method for quantitatively evaluating carbon emissions during transformer operation. Figure 1 As shown, including:

[0061] Step 1: Determine the carbon emission sources of the transformer, the carbon emission sources include: direct carbon emissions and indirect carbon emissions;

[0062] Step 2: For indirect carbon emissions, determine the power loss value of the transformer within a specified time, 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 fault gas produced by the transformer within the specified time, and determine the carbon dioxide equivalent of the fault gas based on the global warming potential value;

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

[0065] Among them, for indirect carbon emissions, the power loss of the transformer within a specified time is determined, including:

[0066] For indirect carbon emissions, determine the no-load loss and load loss of the transformer, and determine the power loss based on the no-load loss and load loss;

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

[0068] The load loss is the loss.

[0069] Among them, the calculation formula for determining the power loss is as follows:

[0070] P t =P0×T+P T ×T×K 2 ×λ 2

[0071] Among them, P t is the power loss, P0 is the rated iron loss, P T is the rated copper loss, T is the operating time, K is the RMS current coefficient, and λ is the load rate.

[0072] Among them, for direct carbon emissions, the fault gas production of the transformer within the specified time is determined, including:

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

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

[0075] Based on the electricity CO2 emission factor, the CO2 equivalent of transformer power loss is determined using the following calculation formula:

[0076] GHG 电力损耗 =P t ×EF 排放因子

[0077] Based on the global warming potential value, the carbon dioxide equivalent of the gas produced by the transformer fault is determined, and the calculation formula is as follows:

[0078]

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

[0080] The present invention is further described below with reference to specific cases:

[0081] Process such as Figure 2 As shown, including:

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

[0083] Step 1: Analysis of transformer carbon emission sources:

[0084] The carbon footprint of the transformer operation phase includes greenhouse gas emissions (GHG emissions) generated directly or indirectly during operation. The specific emission sources are as follows: Figure 3 The classification of greenhouse gases refers to the IPCC Guidelines for National Greenhouse Gas Inventories.

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

[0086] GHG M =GHG 间接排放 +GHG直接排放 (1)

[0087] Where GHG M is the total greenhouse gas emissions of the transformer (kgCO2e); GHG 间接排放 is the total indirect greenhouse gas emissions from transformers (kgCO2e); GHG 直接排放 is the total direct greenhouse gas emissions from the transformer (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 input and output lines.

[0090] GHG 间接排放 =GHG 电力损耗 (2)

[0091] Where GHG 电力损耗 It is the greenhouse gas emissions caused by power loss between the transformer input and output lines.

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

[0093] Transformer direct greenhouse gas emissions refer to the greenhouse gases produced by the transformer during partial discharge or overheating failure, including CO2 and CH4. They gradually increase with the extension of transformer operation time. The content of dissolved gas in the oil can be obtained through transformer oil chromatography analysis.

[0094]

[0095] In the formula, and They are the greenhouse gas emissions of CO2 and CH4 produced when the transformer fails due to partial discharge or overheating.

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

[0097] The specific calculation method is as follows:

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

[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 calculated based on 8760 hours per year. It can be seen that the annual loss value is related to the transformer operation time, rated capacity, power factor and load rate. The coefficient is substituted into the root mean square load calculation formula:

[0103]

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

[0105] After calculation and analysis, the operating energy consumption formula of the transformer can be simplified as follows:

[0106] P t =P0×T+P T ×T×K 2 ×λ 2 (8)

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

[0108] Table 1

[0109] Load factor 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 emissions in transformer oil is related to the rated capacity, operating time, operating temperature and load rate of the transformer. The present invention adopts a multivariate linear regression model to fit the relationship between them. The model construction process is as follows: Figure 4 shown.

[0112] 1. Model representation:

[0113] Assume that there are n observations, the dependent variable is the dissolved gas emission in transformer oil Y, and the independent variables are the rated capacity of the transformer X1, operating time X2, operating temperature X3 and load rate X4. The multivariate 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 is the regression coefficient of the jth independent variable;

[0118] -ε i is a random error term, which satisfies independent and identical distribution, has an expected value of 0 and a variance of σ 2 .

[0119] 2. Matrix form To simplify the representation, you can use the matrix form:

[0120] Y=Xβ+ε (10)

[0121] in:

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

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

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

[0125] -ε is the n×1 error vector.

[0126] Specifically expressed as:

[0127]

[0128] 3. Least squares estimation:

[0129] The goal is to find the regression coefficient β so that the residual sum of squares is minimized:

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

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

[0132]

[0133] Solve for estimates of the regression coefficients:

[0134]

[0135] 4. Prediction:

[0136] Using the estimated regression coefficients, we can new Make predictions:

[0137]

[0138] This can be used 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 to the greenhouse effect of the earth to different degrees. The fourth assessment report of the Intergovernmental Panel on Climate Change (IPCC) of the United Nations pointed out that in the total warming effect of greenhouse gases, carbon dioxide (CO2) contributes about 63%, methane (CH4) contributes about 18%, nitrous oxide (N2O) contributes about 6%, and other contributions account for about 13%. In order to unify the results of measuring the overall greenhouse effect, a measurement unit that can compare the emissions of different greenhouse gases is needed. Since CO2 contributes the most to the warming benefit, carbon dioxide equivalent (CO2 equivalent) is specified as the basic unit for measuring the greenhouse effect. The calculation process of carbon dioxide equivalent of carbon emissions during the operation stage of the transformer is as follows: Figure 5 shown.

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

[0142] GHG 输电损耗 =P t ×EF 排放因子 (16)

[0143] Where, EF 排放因子 It is the electricity emission factor, which is a coefficient used to correspond energy and material consumption to carbon dioxide emissions. Using the updated data of the "2021 Electricity Carbon Dioxide Emission Factor" issued by the Ministry of Ecology and Environment, the national average carbon dioxide emission factor for electricity in 2021 is 0.5568 (kgCO2 / kWh). The 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 fault gas production:

[0147] Since the greenhouse gases produced by 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) is a coefficient used to relate the impact of radiative forcing of a unit mass of a greenhouse gas in a given time period to the impact of the radiative intensity of an equivalent amount of carbon dioxide. The data published in the General Guide for Accounting and Reporting of Greenhouse Gas Emissions from Industrial Enterprises (GB / T32150-2015) are used. Table 3 shows the global warming potential (GWP) of CH4 in different time spans.

[0150] Table 3

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

[0152] The present invention provides an innovative solution for carbon emission assessment of power equipment by accurately quantifying the direct and indirect carbon emissions of the transformer during the operation stage, taking into full account the complex operating characteristics of the transformer under different working conditions, and combining the multiple linear regression model and the power loss model. Through the multiple linear regression model, the present invention can accurately capture the direct carbon emission characteristics of the transformer under different operating conditions, including but not limited to the transformer commissioning time, voltage level, rated capacity, etc., thereby providing a scientific basis for the construction of the carbon emission accounting model. The power loss model can accurately quantify its indirect carbon emissions by analyzing the power loss of the transformer under no-load and load conditions, thereby improving the accuracy and comprehensiveness of the assessment. Through this method, the present invention can more effectively capture the carbon emission characteristics during the operation of the transformer, thereby providing accurate assessment and prediction for the equipment carbon emission monitoring and low-carbon management of power companies.

[0153] Compared with the traditional carbon emission assessment method in the power industry, the present invention focuses on the transformer equipment itself and can finely process the quantitative assessment of carbon emissions of substation equipment, thereby providing more reliable and detailed decision support for the green management and low-carbon transformation of power companies. In addition, through the combination of multivariate linear regression model and power loss model, the present invention improves the accuracy and adaptability of the carbon emission assessment model, enabling power companies to obtain more valuable carbon emission data at a given confidence level, thereby better responding to the carbon emission reduction challenges of the power industry.

[0154] Embodiment 2:

[0155] The present invention also proposes a transformer operation phase carbon emission quantitative assessment system 200, such as Figure 6 As shown, including:

[0156] Initial unit 201 is used to determine the carbon emission sources of the transformer, the carbon emission sources include: direct carbon emission and indirect carbon emission;

[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 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 fault gas production of the transformer within the specified time for direct carbon emissions, and determine the carbon dioxide equivalent of the fault gas production based on the global warming potential value;

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

[0160] Among them, for indirect carbon emissions, the power loss value of the transformer within a specified time is determined, including:

[0161] For indirect carbon emissions, determine the no-load loss and load loss of the transformer, and determine the power loss based on the no-load loss and load loss;

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

[0163] The load loss is the loss.

[0164] Among them, the calculation formula for determining the power loss is as follows:

[0165] P t =P0×T+P T ×T×K 2 ×λ 2

[0166] Among them, P t is the power loss, P0 is the rated iron loss, P T is the rated copper loss, T is the operating time, K is the RMS current coefficient, and λ is the load rate.

[0167] Among them, for direct carbon emissions, the fault gas production of the transformer within the specified time is determined, including:

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

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

[0170] Based on the electricity CO2 emission factor, the CO2 equivalent of transformer power loss is determined using the following calculation formula:

[0171] GHG 电力损耗 =P t ×EF 排放因子

[0172] Based on the global warming potential value, the carbon dioxide equivalent of the gas produced by the transformer fault is determined, and the calculation formula is as follows:

[0173]

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

[0175] The present invention can accurately quantify the direct and indirect carbon emissions of transformers during the operation phase, and comprehensively evaluate the carbon emissions of transformers by constructing a transformer multivariate linear regression gas production model and an energy loss model. This method can not only capture the carbon emission characteristics of transformers under different operating conditions, but also combine historical operating data to make long-term carbon emission forecasts, helping power companies to accurately monitor equipment carbon emissions and optimize equipment operation strategies, thereby effectively reducing carbon emissions and promoting the low-carbon transformation and green development of the power industry.

[0176] Embodiment 3:

[0177] Based on the same inventive concept, the present invention also provides a computer device, which includes a processor and a memory, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute 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 (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, and is specifically suitable for loading and executing one or more instructions in the computer storage medium to implement the corresponding method flow or corresponding functions, so as to implement the steps of the method in the above embodiment.

[0178] Embodiment 4:

[0179] Based on the same inventive concept, the present invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device for storing programs and data. It is understandable that the computer-readable storage medium here can include both a built-in storage medium in a computer device and an extended storage medium supported by the computer device. The computer-readable storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by a processor are also stored in the storage space, and these instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. 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 embodiment.

[0180] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may 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 codes. The schemes in the embodiments of the present invention may be implemented in various computer languages, for example, object-oriented programming language Java and literal scripting language JavaScript, etc.

[0181] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0182] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0183] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0184] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0185] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for quantitatively evaluating carbon emissions during transformer operation, characterized in that: include: Determine the carbon emission sources of the transformer, the carbon emission sources include: direct carbon emission and indirect carbon emission; For indirect carbon emissions, determine the power loss value of the transformer within a specified time, and determine the CO2 equivalent of the power loss based on the power CO2 emission factor; For direct carbon emissions, determine the amount of fault gas produced by the transformer within the specified time, and determine the carbon dioxide equivalent of the fault gas based on the global warming potential value; Based on the carbon dioxide equivalent of the power loss and fault gas generation, the carbon emissions during the transformer operation phase within the specified time are quantified.

2. The method for quantitatively evaluating carbon emissions during transformer operation according to claim 1 is characterized in that: For indirect carbon emissions, the power loss of the transformer within a specified time is determined, including: For indirect carbon emissions, determine the no-load loss and load loss of the transformer, and determine the power loss based on the no-load loss and load loss; The no-load loss is the iron loss; The load loss is the loss.

3. The method for quantitatively evaluating carbon emissions during transformer operation according to claim 2 is characterized in that: The calculation formula for determining the power loss is as follows: P t =P0×T+P T ×T×K 2 ×λ 2 Among them, P t is the power loss, P0 is the rated iron loss, P T is the rated copper loss, T is the operating time, K is the RMS current coefficient, and λ is the load rate.

4. The method for quantitatively evaluating carbon emissions during transformer operation according to claim 1 is characterized in that: The method of determining the fault gas production of the transformer within the specified time with respect to direct carbon emissions includes: For direct carbon emissions, a multivariate linear regression model is established and simplified. The simplified multivariate linear regression model is estimated using the least squares method to predict the emissions of CO2 and CH4 from the transformer within a specified time.

5. The method for quantitatively evaluating carbon emissions during transformer operation according to claim 1 is characterized in that: The carbon emissions of the transformer during the operation phase within the specified time are quantified based on the power carbon dioxide emission factor and the global warming potential value, including: Based on the electricity CO2 emission factor, the CO2 equivalent of transformer power loss is determined using the following calculation formula: GHG 电力损耗 =P t ×EF 排放因子 Based on the global warming potential value, the carbon dioxide equivalent of the gas produced by the transformer fault is determined, and the calculation formula is as follows: The carbon dioxide equivalent of the transformer power loss and the carbon dioxide equivalent of the transformer fault gas production are summed to obtain the carbon emissions of the transformer during the operation stage.

6. A transformer operation phase carbon emission quantitative assessment system, characterized in that: include: An initial unit, used to determine the carbon emission sources of the transformer, wherein the carbon emission sources include: direct carbon emission and indirect carbon emission; A first calculation unit is used to determine the power loss value of the transformer within a specified time for indirect carbon emissions, and determine the carbon dioxide equivalent of the power loss based on the power carbon dioxide emission factor; A second calculation unit is used to determine the fault gas production of the transformer within the specified time for direct carbon emissions, and determine the carbon dioxide equivalent of the fault gas production based on the global warming potential value; The evaluation and quantification unit is used to quantify the carbon emissions of the transformer operation stage within the specified time based on the carbon dioxide equivalent of the power loss and fault gas generation.

7. The transformer operation phase carbon emission quantitative assessment system according to claim 6 is characterized in that: The method for determining the power loss value of the transformer within a specified time for indirect carbon emissions includes: For indirect carbon emissions, determine the no-load loss and load loss of the transformer, and determine the power loss based on the no-load loss and load loss; The no-load loss is the iron loss; The load loss is the loss.

8. The transformer operation phase carbon emission quantitative assessment system according to claim 7 is characterized in that: The calculation formula for determining the power loss is as follows: P t =P0×T+P T ×T×K 2 ×λ 2 Among them, P t is the power loss, P0 is the rated iron loss, P T is the rated copper loss, T is the operating time, K is the RMS current coefficient, and λ is the load rate.

9. The transformer operation phase carbon emission quantitative assessment system according to claim 6 is characterized in that: The method of determining the fault gas production of the transformer within the specified time with respect to direct carbon emissions includes: For direct carbon emissions, a multivariate linear regression model is established and simplified. The simplified multivariate linear regression model is estimated using the least squares method to predict the emissions of CO2 and CH4 from the transformer within a specified time.

10. The transformer operation phase carbon emission quantitative assessment system according to claim 6, characterized in that: The carbon dioxide equivalent based on the power loss and fault gas generation quantifies the carbon emissions of the transformer during the operation phase within the specified time. , including: Based on the electricity CO2 emission factor, the CO2 equivalent of transformer power loss is determined using the following calculation formula: GHG 电力损耗 =P t ×EF 排放因子 Based on the global warming potential value, the carbon dioxide equivalent of the gas produced by the transformer fault is determined, and the calculation formula is as follows: The carbon dioxide equivalent of the transformer power loss and the carbon dioxide equivalent of the transformer fault gas production are summed to obtain the carbon emissions of the transformer during the operation stage.

11. A computer device, characterized in that: include: one or more processors; a processor for executing one or more programs; When the one or more programs are executed by the one or more processors, the method according to any one of claims 1 to 5 is implemented.

12. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed, the method according to any one of claims 1 to 5 is implemented.

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