CN116542427A - Power grid power supply structure optimization method, system, equipment and medium - Google Patents
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Abstract
The invention belongs to the technical field of carbon asset management, and particularly discloses a power grid power supply structure optimization method, a system, equipment and a medium.
Description
Technical Field
The invention belongs to the technical field of power grid power supply structure optimization, and particularly relates to a power grid power supply structure optimization method, a power grid power supply structure optimization system, power grid power supply structure optimization equipment and a power grid power supply structure optimization medium.
Background
Carbon assets refer to quota emissions, emission reduction credits, and related activities that may directly or indirectly affect the organization of greenhouse gas emissions under a mandatory carbon emissions trading mechanism or a voluntary carbon emissions trading mechanism.
The monthly carbon asset benefit of the power grid refers to the value generated by carbon emission reduced by various means and technologies by a power grid enterprise or a power grid service user (the user carbon asset needs to be checked by the power grid enterprise), the electricity purchasing cost of the power grid is subtracted, the carbon emission cost carried in electricity purchasing of the power grid is subtracted, and statistics is carried out in a monthly period.
At present, the calculation of the carbon asset of the power grid is not perfect, firstly, only the emission reduction caused by the optimization of the power grid structure is considered when the carbon asset is calculated, and the terminal energy structure optimization and the carbon asset calculation related to the carbon sink of the user are not considered; and secondly, when the carbon asset is calculated, only the carbon emission calculation is remained, the influence factors of the electric power market and the carbon market are not considered, and the price influence factors are not fully considered.
In the existing power supply structure adjustment process, the emission reduction effect brought by the power grid structure optimization cannot be specifically analyzed from the carbon asset benefit point of view.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention aims to provide a power grid power supply structure optimization method, a system, equipment and a medium, so as to solve the technical problem that the emission reduction effect brought by the power grid structure optimization cannot be specifically analyzed in the current power supply structure adjustment process.
In order to achieve the above purpose, the invention is realized by adopting the following technical scheme:
the invention provides a power grid power supply structure optimization method, which comprises the following steps:
s1: acquiring terminal energy optimization emission reduction, user distributed photovoltaic emission reduction and user carbon sequestration emission reduction, and calculating regional lunar positive electric carbon assets through the terminal energy optimization emission reduction, the user distributed photovoltaic emission reduction and the user carbon sequestration emission reduction;
s2: acquiring electricity purchasing carbon emission and electricity purchasing cost of a power grid, and calculating regional monthly negative electric power carbon assets through the electricity purchasing carbon emission and the electricity purchasing cost of the power grid;
s3: calculating regional grid monthly carbon asset benefits through regional monthly positive electric power carbon assets and regional monthly negative electric power carbon assets;
s4: and adjusting a power supply structure of the power grid through the monthly carbon asset benefit of the regional power grid, and calculating the emission reduction benefit brought by the optimized power supply structure.
Further, the calculation formula of the terminal energy optimization emission reduction is as follows:
wherein:the emission reduction amount is optimized for the terminal energy, and the unit is tCO 2 ；
And->The unit of the electricity consumption is kWh, which respectively represents the electricity consumption for changing the coal into electricity and the electricity consumption for changing the oil into electricity;
and->Respectively representing the coal-to-electricity and oil-to-electricity emission reduction coefficients, and the unit is tCO 2 /kWh。
Further, the calculation formula of the user distributed photovoltaic emission reduction is as follows:
wherein:for user distributed photovoltaic emission reduction, the unit is tCO 2 ；
The unit of the generated energy which represents the monthly distributed photovoltaic absorption is kWh;
conversion coefficient for local electric power carbon emission +.>In tCO 2 /kWh；
Since the distributed photovoltaic carbon emission is 0, the equivalent is as followsReducing emission;
wherein:for the emission factor of the coal of the local ith power plant, tCO 2 /MWh；/>Is the emission factor of fuel gas, tCO 2 /MWh；/>tCO as an emission factor for outsourcing electricity 2 /MWh；/>Coal-fired power generation capacity and MWh of a local ith power plant; />The method is characterized in that the method is the fuel gas generated energy and MWh of a local jth power plant; />The electricity quantity is purchased outside the g-th pen, and MWh is obtained;to meet the green electricity standard power generation amount, MWh.
Further, the calculation formula of the user carbon sink emission reduction is as follows:
wherein:for monthly user carbon sink emission reduction in tCO 2 ；
gCO for the ith carbon sink parameter of the green land every day 2 /m²·d；
Green land being the ith green landProduct, m;
is a correction coefficient.
Further, the calculation formula of the regional monthly positive power carbon asset is as follows:
wherein:is the average unit price of the current carbon transaction, the unit is the price of carbon dioxide, and the unit is Yuan/tCO 2 。
Further, the specific steps of calculating the regional lunar negative electric power carbon asset through the electric power purchasing carbon emission and the electric power purchasing cost of the power grid include:
calculating the electricity purchasing carbon emission of the power grid:
the electricity purchasing carbon emission of the power grid comprises the carbon emission in a steady-state process and the additional carbon emission in transient power climbing;
the carbon emissions during steady state are:；
wherein:represents->The power grid electric power carbon emission conversion coefficient at moment;
represents->Output of the time unit;
the transient power climb additional carbon emissions are:；
wherein:representing the unit as reaching->Additional carbon emissions generated by the power;
the specific calculation formula of the electricity purchasing carbon emission of the power grid is as follows:
the electricity purchasing cost is calculated by the specific calculation formula:
for the electricity purchasing cost of the power grid,E P (t 1 ) Representative oft 1 The electricity purchasing cost of the power grid at any moment;
calculating the regional monthly negative electric power carbon asset by calculating the sum of the electric power purchasing carbon emission of the power grid and the electric power purchasing cost, wherein the calculation formula is as follows:
wherein:to power the carbon asset.
Further, the specific steps of calculating the regional power grid monthly carbon asset benefit through the regional monthly positive electric power carbon asset and the regional monthly negative electric power carbon asset include:
the calculation formula of the regional power grid monthly carbon asset benefit is as follows:
wherein:the monthly carbon asset benefit of the regional power grid is given in units of yuan.
In a second aspect, the present invention provides a grid power supply structure optimization computing system, including:
the regional moon positive electric power carbon asset calculation module is used for acquiring terminal energy optimization emission reduction, user distributed photovoltaic emission reduction and user carbon sink emission reduction, and calculating regional moon positive electric power carbon assets through the terminal energy optimization emission reduction, the user distributed photovoltaic emission reduction and the user carbon sink emission reduction;
the regional monthly negative electric power carbon asset calculation module is used for acquiring electricity purchasing carbon emission and electricity purchasing cost of the power grid and calculating regional monthly negative electric power carbon assets through the electricity purchasing carbon emission and electricity purchasing cost of the power grid;
the regional power grid monthly carbon asset benefit calculation module is used for calculating regional power grid monthly carbon asset benefits through regional monthly positive power carbon assets and regional monthly negative power carbon assets;
and the power grid power supply structure optimization module is used for adjusting the power grid power supply structure according to the monthly carbon asset benefit of the regional power grid and calculating the emission reduction benefit brought by the optimized power supply structure.
In a third aspect, the present invention provides a computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements a grid power supply structure optimization method according to any one of the preceding claims when executing the computer program.
In a fourth aspect, the present invention provides a computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements a method for optimizing a power grid power supply structure according to any one of the above.
The invention has at least the following beneficial effects:
according to the invention, the regional month positive power carbon asset and the regional month negative power carbon asset are used for calculating the month carbon asset benefit of the power grid, the power supply structure of the power grid is adjusted according to the month carbon asset benefit of the regional power grid, and the emission reduction effect brought by the optimized power supply structure is analyzed, so that the problem that the emission reduction effect brought by the power grid structure optimization cannot be specifically analyzed in the current power supply structure adjustment process from the carbon asset benefit perspective is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention. In the drawings:
FIG. 1 is a schematic flow diagram of a power grid power supply structure optimization method;
fig. 2 is a schematic diagram of a power grid power supply structure optimization system module.
Detailed Description
The invention will be described in detail below with reference to the drawings in connection with embodiments. It should be noted that, without conflict, the embodiments of the present invention and features of the embodiments may be combined with each other.
The following detailed description is exemplary and is intended to provide further details of the invention. Unless defined otherwise, all technical terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments in accordance with the invention.
Example 1
As shown in fig. 1, a power grid power supply structure optimization method includes:
s1: acquiring terminal energy optimization emission reduction, user distributed photovoltaic emission reduction and user carbon sequestration emission reduction, and calculating regional lunar positive electric carbon assets through the terminal energy optimization emission reduction, the user distributed photovoltaic emission reduction and the user carbon sequestration emission reduction; the unit of monthly positive electricity carbon asset is tCO 2 ；
S11: calculating the optimal emission reduction capacity of the terminal energy;
the calculation of the optimal emission reduction of the terminal energy comprises the following steps: calculating the emission reduction amount after the energy utilization structure optimization under two typical application scenes of changing coal into electricity and changing oil into electricity respectively; the calculation formula of the energy optimization and emission reduction of the terminal is as follows:
wherein:the emission reduction amount is optimized for the terminal energy, and the unit is tCO 2 ；
And->The unit of the electricity consumption is kWh, which respectively represents the electricity consumption for changing the coal into electricity and the electricity consumption for changing the oil into electricity;
and->Respectively representing the coal electricity change and oil electricity change emission reduction coefficients of corresponding scenes, and the unit is tCO 2 /kWh; the emission reduction coefficient is calculated according to an energy balance method aiming at different conversion efficiencies of fossil energy and electric energy in specific scenes, and the carbon emission difference of the fossil energy and electric power under the same energy requirement (the conversion efficiency is considered) is obtained. For the invention, the scene of changing coal into electricity is heating by changing coal into electricity, < >>According to 0.000217tCO 2 calculating/kWh; the oil-to-electricity scene is that an electric automobile replaces a fuel automobile, and the fuel automobile is a ∈car>Emission reduction coefficient according to 0.000754tCO 2 and/kWh calculation.
S12: calculating the user distributed photovoltaic emission reduction capacity;
calculating the power consumption of the distributed photovoltaic on-line, thereby calculating the emission reduction capacity of the distributed photovoltaic, wherein the specific calculation formula is as follows:
wherein:for user distributed photovoltaic emission reduction, the unit is tCO 2 ；
The unit of the generated energy which represents the monthly distributed photovoltaic absorption is kWh;
conversion coefficient for local electric power carbon emission +.>In tCO 2 /kWh；
Since the distributed photovoltaic carbon emission is 0, the equivalent is as followsReducing emission;
wherein:for the emission factor of the coal of the local ith power plant, tCO 2 /MWh；/>Is the emission factor of fuel gas, tCO 2 /MWh；/>Is outsourced toElectric emission factor, tCO 2 /MWh；/>Coal-fired power generation capacity and MWh of a local ith power plant; />The method is characterized in that the method is the fuel gas generated energy and MWh of a local jth power plant; />The electricity quantity is purchased outside the g-th pen, and MWh is obtained;MWh for meeting the green electricity standard generating capacity;
s13: calculating the carbon sink emission reduction capacity of the user;
calculating the emission reduction amount of the carbon sink of the user, and simultaneously considering the correction coefficient calculated in the step of daily intensity; the carbon sink emission reduction capacity of the user is determined through green land area calculation and solar super-intensity correction, and a specific calculation formula is as follows:
wherein:for monthly user carbon sink emission reduction in tCO 2 ；
For the ith carbon sink parameter of the green land every day, the greening area of a general user can be according to 9gCO 2 Calculating m·d;
green land area, m, of the ith green land 2 ；
For correcting the coefficient, for calculating sunny days, rainy days, etcGreen land carbon sink efficiency under different climates is generally 1 in clear weather coefficient; 30 is the calculated month value, +.>The carbon sink data is unified to tons of carbon dioxide.
S14: the lunar positive electric power carbon asset of the area is calculated through the terminal energy optimization emission reduction amount obtained in the step S11, the user distributed photovoltaic emission reduction amount obtained in the step S12 and the user carbon sink emission reduction amount obtained in the step S13, and the calculation formula is as follows:
wherein:is the average unit price of the current carbon transaction, the unit is the price of carbon dioxide, and the unit is Yuan/tCO 2 。
S2: acquiring electricity purchasing carbon emission and electricity purchasing cost of a power grid, and calculating regional monthly negative electricity carbon assets through the electricity purchasing carbon emission and electricity purchasing cost of the power grid, wherein the monthly negative electricity carbon assets comprise electricity price yielding cost based on an electricity market/a carbon market; the units of the monthly negative electricity carbon asset are units;
s21: calculating the electricity purchasing carbon emission of the power grid;
the electricity purchasing carbon emission of the power grid comprises the carbon emission in a steady-state process and the additional carbon emission in transient power climbing;
the carbon emissions during steady state are:；
wherein:represents->The power grid electric power carbon emission conversion coefficient at moment;
represents->Output of the time unit;
the transient power climb additional carbon emissions are:；
wherein:representing the unit as reaching->Additional carbon emissions generated by power, +.>The specific functional relationship relates to the course of the unit operation transient, if only the unit operation steady-state course is considered +.>Is 0.
The specific calculation formula of the carbon emission of the power grid is as follows:
s22: the electricity purchasing cost is calculated by the specific calculation formula:
for the electricity purchasing cost of the power grid,E P (t 1 ) Representative oft 1 And the electricity purchasing cost of the power grid at any time.
S23: and calculating the regional month negative electric power carbon asset by the electricity purchasing carbon emission of the power grid obtained in the step S21 and the electricity purchasing cost obtained in the step S22, wherein the calculation formula is as follows:
wherein:for powering carbon assets, monthly electrical carbon assets are calculated and summed by month.
S3: and calculating regional grid monthly carbon asset benefits through regional monthly positive electric carbon assets and regional monthly negative electric carbon assets. The result value of the regional power grid monthly carbon asset benefit reflects the electricity cost of the first regional monthly electricity consumption under the double constraint of the electricity market and the carbon market, the cost of electricity as an energy source and the electricity carbon cost.
The calculation formula of the monthly carbon asset benefit value of the carbon emission power grid is as follows:
wherein:the unit is the unit of the monthly carbon asset benefit of the power grid.
S4: according to the monthly carbon asset benefit of the regional power grid, adjusting a power supply structure of the power grid, and calculating emission reduction benefit brought by the optimized power supply structure;
according to the calculated emission reduction amounts of different electricity utilization scenes, from the perspective of carbon asset benefit, adjusting an electricity utilization structure to reduce carbon emission; and the emission reduction benefit of the region due to the power structure optimization is counted.
Example 2
As shown in fig. 2, the present embodiment provides a power grid power supply structure optimization computing system, including:
the regional moon positive electric power carbon asset calculation module is used for acquiring terminal energy optimization emission reduction, user distributed photovoltaic emission reduction and user carbon sink emission reduction, and calculating regional moon positive electric power carbon assets through the terminal energy optimization emission reduction, the user distributed photovoltaic emission reduction and the user carbon sink emission reduction;
the regional monthly negative electric power carbon asset calculation module is used for acquiring electricity purchasing carbon emission and electricity purchasing cost of the power grid and calculating regional monthly negative electric power carbon assets through the electricity purchasing carbon emission and electricity purchasing cost of the power grid;
the regional power grid monthly carbon asset benefit calculation module is used for calculating regional power grid monthly carbon asset benefits through regional monthly positive power carbon assets and regional monthly negative power carbon assets;
and the power grid power supply structure optimization module is used for adjusting the power grid power supply structure according to the monthly carbon asset benefit of the regional power grid and calculating the emission reduction benefit brought by the optimized power supply structure.
Example 3
The invention provides a computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements a power grid power supply structure optimization method according to embodiment 1 when executing the computer program.
Example 4
The present invention provides a computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements a grid power supply structure optimization method as described in embodiment 1.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present 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 flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may 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, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical aspects of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those of ordinary skill in the art that: modifications and equivalents may be made to the specific embodiments of the invention without departing from the spirit and scope of the invention, which is intended to be covered by the claims.
Claims (10)
1. The utility model provides a power grid power supply structure optimization method which is characterized by comprising the following steps:
s1: acquiring terminal energy optimization emission reduction, user distributed photovoltaic emission reduction and user carbon sequestration emission reduction, and calculating regional lunar positive electric carbon assets through the terminal energy optimization emission reduction, the user distributed photovoltaic emission reduction and the user carbon sequestration emission reduction;
s2: acquiring electricity purchasing carbon emission and electricity purchasing cost of a power grid, and calculating regional monthly negative electric power carbon assets through the electricity purchasing carbon emission and the electricity purchasing cost of the power grid;
s3: calculating regional power grid monthly carbon asset benefits through regional monthly positive electric power carbon assets and regional monthly negative electric power carbon assets;
s4: and adjusting a power supply structure of the power grid according to the monthly carbon asset benefit of the regional power grid, and calculating the emission reduction benefit brought by the optimized power supply structure.
2. The power grid power supply structure optimization method according to claim 1, wherein the calculation formula of the terminal energy optimization and emission reduction is as follows:
wherein:the emission reduction amount is optimized for the terminal energy, and the unit is tCO 2 ；
And->The unit of the electricity consumption is kWh, which respectively represents the electricity consumption for changing the coal into electricity and the electricity consumption for changing the oil into electricity;
and->Respectively representing the coal-to-electricity emission reduction coefficient and the oil-to-electricity emission reduction coefficient, and the unit is tCO 2 /kWh。
3. The power grid power supply structure optimization method according to claim 2, wherein the calculation formula of the user distributed photovoltaic emission reduction is as follows:
wherein:for user distributed photovoltaic emission reduction, the unit is tCO 2 ；
The unit of the generated energy which represents the monthly distributed photovoltaic absorption is kWh;
conversion coefficient for local electric power carbon emission +.>In tCO 2 /kWh；
Since the distributed photovoltaic carbon emission is 0, the equivalent is as followsReducing emission;
wherein:for the emission factor of the coal of the local ith power plant, tCO 2 /MWh；/>Is the emission factor of fuel gas, tCO 2 /MWh；/>tCO as an emission factor for outsourcing electricity 2 /MWh；/>Coal-fired power generation capacity and MWh of a local ith power plant; />The method is characterized in that the method is the fuel gas generated energy and MWh of a local jth power plant; />The electricity quantity is purchased outside the g-th pen, and MWh is obtained; />To meet the green electricity standard power generation amount, MWh.
4. The power grid power supply structure optimization method according to claim 3, wherein the calculation formula of the user carbon sink emission reduction is as follows:
wherein:for monthly user carbon sink emission reduction in tCO 2 ；
gCO for the ith carbon sink parameter of the green land every day 2 /m²·d；
Green land area for the ith green land，m 2 ；
Is a correction coefficient.
5. The method for optimizing a power grid power supply structure according to claim 4, wherein the calculation formula of the regional lunar positive electric power carbon asset is:
wherein:is the average unit price of the current carbon transaction, the unit is the price of carbon dioxide, and the unit is Yuan/tCO 2 。
6. The method for optimizing a power supply structure of a power grid according to claim 5, wherein the specific step of calculating the regional lunar negative electric power carbon asset through the power grid purchase carbon emission and the purchase cost comprises the following steps:
calculating the electricity purchasing carbon emission of the power grid:
the electricity purchasing carbon emission of the power grid comprises the carbon emission in a steady-state process and the additional carbon emission in transient power climbing;
the carbon emissions during steady state are:；
wherein:represents->The power grid electric power carbon emission conversion coefficient at moment;
represents->Output of the time unit;
the transient power climb additional carbon emissions are:；
wherein:representing the unit as reaching->Additional carbon emissions generated by the power;
the specific calculation formula of the electricity purchasing carbon emission of the power grid is as follows:
the electricity purchasing cost is calculated by the specific calculation formula:
for the electricity purchasing cost of the power grid,E P (t 1 ) Representative oft 1 The electricity purchasing cost of the power grid at any moment;
calculating the regional monthly negative electric power carbon asset by calculating the sum of the electric power purchasing carbon emission of the power grid and the electric power purchasing cost, wherein the calculation formula is as follows:
wherein:to power the carbon asset.
7. The method for optimizing a power grid power supply structure according to claim 6, wherein the specific step of calculating the regional power grid monthly carbon asset benefit by using regional monthly positive power carbon assets and regional monthly negative power carbon assets comprises the following steps:
the calculation formula of the regional power grid monthly carbon asset benefit is as follows:
wherein:the monthly carbon asset benefit of the regional power grid is given in units of yuan.
8. A grid power supply structure optimization system, comprising:
the regional moon positive electric power carbon asset calculation module is used for acquiring terminal energy optimization emission reduction, user distributed photovoltaic emission reduction and user carbon sink emission reduction, and calculating regional moon positive electric power carbon assets through the terminal energy optimization emission reduction, the user distributed photovoltaic emission reduction and the user carbon sink emission reduction;
the regional monthly negative electric power carbon asset calculation module is used for acquiring electricity purchasing carbon emission and electricity purchasing cost of the power grid and calculating regional monthly negative electric power carbon assets through the electricity purchasing carbon emission and electricity purchasing cost of the power grid;
the regional power grid monthly carbon asset benefit calculation module is used for calculating regional power grid monthly carbon asset benefits through regional monthly positive power carbon assets and regional monthly negative power carbon assets;
and the power grid power supply structure optimization module is used for adjusting the power grid power supply structure according to the monthly carbon asset benefit of the regional power grid and calculating the emission reduction benefit brought by the optimized power supply structure.
9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements a grid power supply structure optimization method according to any one of claims 1-7 when executing the computer program.
10. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements a grid power supply structure optimization method according to any one of claims 1-7.
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