Enhanced micro-energy grid integrated energy system carbon emission level evaluation method and device

Abstract

The present invention relates to an enhanced micro-energy grid integrated energy system carbon emission level evaluation method and device, the method comprising: constructing a single heterogeneous load carbon potential index calculation model based on the capacity side equivalent carbon emission value related to the energy supply required by a single heterogeneous load, and calculating the single heterogeneous load carbon potential index according to the single heterogeneous load carbon potential index calculation model; constructing a multi-energy coupling comprehensive carbon potential index calculation model for heterogeneous loads based on the single heterogeneous load carbon potential index, and calculating the multi-energy coupling comprehensive carbon potential index of heterogeneous loads according to the multi-energy coupling comprehensive carbon potential index calculation model for heterogeneous loads; and evaluating the overall carbon emission level of the integrated energy system over different time spans according to the single heterogeneous load carbon potential index and the multi-energy coupling comprehensive carbon potential index of the heterogeneous loads. The present invention can quantify the carbon emission responsibilities of different energy systems or regions.

Description

Technical Field

[0001] The present invention relates to the technical field of integrated energy carbon flow analysis, and in particular to a method and device for evaluating carbon emission levels of an enhanced micro-energy grid integrated energy system. Background Art

[0002] The carbon emission flow related indicators in the energy flow network of the integrated energy system are called carbon flow indicators. Currently, the commonly used carbon flow indicators include carbon flow, carbon flow rate, carbon flow density, etc. Among them, carbon flow is the cumulative amount of carbon emissions corresponding to the carbon flow that follows the energy flow through a branch or node over a period of time, which can characterize the size of the carbon emission flow on the branch or node. In terms of numerical values, the carbon emission flow of a branch or node should be the total amount of carbon dioxide emitted by the production side to maintain a given energy flow of the branch or node, including the actual carbon emissions generated by a certain production node in the system and the carbon emissions from the production side of the system or external sources related to the consumption of various energy sources by the node. The unit is kgCO 2 The carbon flow rate is the carbon emission flow rate of a branch or node passing through the energy flow in unit time, referred to as the carbon flow rate, and the unit is kgCO 2 / h. Carbon flow density is also called carbon intensity, which indicates the carbon emission on the production side corresponding to the energy generated by each node or flowing through each branch. It is the ratio of the carbon emission flow rate of the node or branch to the active power, and the unit is kgCO 2 / (kW·h). In the power system, node carbon potential generally refers to the carbon emissions on the power generation side caused by the generation or transmission of unit electric energy at the node.

[0003] The existing public patent document CN116526488A discloses a carbon flow analysis method for a power system with distributed power generation access. The carbon flow analysis model in this method belongs to a static carbon emission accounting model for the power grid. It averages the carbon emissions in a certain period of time according to the power at each node to obtain a node carbon emission intensity index, also known as node carbon potential. This method, combined with the carbon flow analysis method, can calculate the carbon emission intensity per kilowatt-hour at different times, different nodes and branches of the power grid. It can be applied to the fields of carbon emission responsibility sharing, carbon emission reduction operation, and low-carbon planning of power systems. However, this method cannot make an overall evaluation of the overall level of carbon emissions of the multi-energy coupled integrated energy system, nor can it reflect the overall level of equivalent carbon emissions on the production capacity side related to the comprehensive energy supply required by the various heterogeneous loads of each user on the load side. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a method and device for evaluating the carbon emission level of an enhanced micro-energy grid integrated energy system, which can quantify the carbon emission responsibilities of different energy systems or regions.

[0005] The technical solution adopted by the present invention to solve the technical problem is: to provide an enhanced micro-energy grid integrated energy system carbon emission level evaluation method, comprising the following steps:

[0006] Building a single heterogeneous load carbon potential index calculation model based on the capacity-side equivalent carbon emission value related to the energy supply required by the single heterogeneous load, and calculating the single heterogeneous load carbon potential index according to the single heterogeneous load carbon potential index calculation model;

[0007] Building a multi-energy coupling comprehensive carbon potential index calculation model for heterogeneous loads based on the single heterogeneous load carbon potential index, and calculating the multi-energy coupling comprehensive carbon potential index of the heterogeneous load according to the multi-energy coupling comprehensive carbon potential index calculation model for the heterogeneous load;

[0008] The overall level of carbon emissions of the integrated energy system over different time spans is evaluated based on the single heterogeneous load carbon potential index and the multi-energy coupling comprehensive carbon potential index of the heterogeneous load.

[0009] The single heterogeneous load carbon potential index calculation model includes a single heterogeneous load daily average carbon potential calculation model, a single heterogeneous load seasonal average carbon potential calculation model and a single heterogeneous load annual average carbon potential calculation model.

[0010] The daily average carbon potential calculation model of a single heterogeneous load is: ; The seasonal average carbon potential calculation model of the single heterogeneous load is: ; The annual average carbon potential calculation model of the single heterogeneous load is: ,in, For energy season scenarios Single heterogeneous load On a typical day The daily average carbon potential, For energy supply season scene Single heterogeneous load The seasonal average carbon potential, Single heterogeneous load The annual average carbon potential of For energy supply season scene Single heterogeneous load On a typical day Mid-session The carbon potential of For energy season scenarios Single heterogeneous load On a typical day Mid-session The energy value, For energy supply season scene A typical day The number of days, For the period A collection of For energy season scenarios A typical day A collection of For energy season scenarios A collection of .

[0011] The multi-energy coupling comprehensive carbon potential index calculation model of the heterogeneous load includes a multi-energy coupling energy quality weighted average comprehensive carbon potential calculation model and a multi-energy coupling root mean square comprehensive carbon potential calculation model.

[0012] The multi-energy coupling energy quality weighted average comprehensive carbon potential calculation model includes a multi-energy coupling energy quality weighted daily average carbon potential calculation model, a multi-energy coupling energy quality weighted seasonal average carbon potential calculation model and a multi-energy coupling energy quality weighted annual average carbon potential calculation model.

[0013] The multi-energy coupling energy quality weighted daily average carbon potential calculation model is: ; The multi-energy coupling energy quality weighted seasonal average carbon potential calculation model is: ; The multi-energy coupling energy quality weighted annual average carbon potential calculation model is: ;in, is the daily average carbon potential weighted by multi-energy coupling energy quality, is the seasonal average carbon potential weighted by multi-energy coupling energy quality, is the annual average carbon potential weighted by multi-energy coupling energy quality, For energy season scenarios Single heterogeneous load On a typical day The daily average carbon potential, For energy season scenarios Single heterogeneous load The seasonal average carbon potential, Single heterogeneous load The annual average carbon potential of Single heterogeneous load The normalized energy quality coefficient, For energy season scenarios Single heterogeneous load On a typical day Mid-session The energy value, For energy season scenarios A typical day The number of days, Single heterogeneous load A collection of For the period A collection of For energy season scenarios A typical day A collection of For energy season scenarios A collection of .

[0014] The multi-energy coupling root mean square comprehensive carbon potential calculation model includes a multi-energy coupling typical daily root mean square carbon potential calculation model, a multi-energy coupling energy supply quarterly root mean square carbon potential calculation model and a multi-energy coupling annual root mean square carbon potential calculation model.

[0015] The typical daily root mean square carbon potential calculation model of multi-energy coupling is: ; The calculation model of the root mean square carbon potential of the multi-energy coupling energy supply is: ; The multi-energy coupling annual root mean square carbon potential calculation model is: ;in, is the typical daily RMS carbon potential of multi-energy coupling, is the seasonal root mean square carbon potential of multi-energy coupling energy supply, is the multi-energy coupled annual root mean square carbon potential, For energy season scenarios Single heterogeneous load On a typical day The daily average carbon potential, For energy season scenarios Single heterogeneous load The seasonal average carbon potential, Single heterogeneous load The annual average carbon potential of For energy season scenarios Single heterogeneous load On a typical day Mid-session The energy value, For energy season scenarios A typical day The number of days, Single heterogeneous load A collection of For the period A collection of For energy season scenarios A typical day A collection of For energy supply season scene A collection of .

[0016] The technical solution adopted by the present invention to solve the technical problem is: to provide an enhanced carbon emission level evaluation device for a micro-energy grid integrated energy system, comprising:

[0017] The first calculation module is used to construct a single heterogeneous load carbon potential index calculation model based on the capacity-side equivalent carbon emission value related to the energy supply required by the single heterogeneous load, and calculate the single heterogeneous load carbon potential index according to the single heterogeneous load carbon potential index calculation model;

[0018] A second calculation module is used to construct a multi-energy coupling comprehensive carbon potential index calculation model of a heterogeneous load based on the single heterogeneous load carbon potential index, and calculate the multi-energy coupling comprehensive carbon potential index of the heterogeneous load according to the multi-energy coupling comprehensive carbon potential index calculation model of the heterogeneous load;

[0019] An evaluation module is used to evaluate the overall level of carbon emissions of the integrated energy system over different time spans based on the single heterogeneous load carbon potential index and the multi-energy coupling comprehensive carbon potential index of the heterogeneous load.

[0020] The technical solution adopted by the present invention to solve its technical problem is: to provide an electronic device, including a memory, a processor and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the above-mentioned enhanced micro-energy grid integrated energy system carbon emission level evaluation method when executing the computer program.

[0021] The technical solution adopted by the present invention to solve its technical problem is: providing a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above-mentioned enhanced micro-energy grid integrated energy system carbon emission level evaluation method are implemented.

[0022] Beneficial Effects

[0023] Due to the adoption of the above-mentioned technical scheme, compared with the prior art, the present invention has the following advantages and positive effects: the present invention can analyze and calculate the carbon emission levels on the energy consumption side in different time spans respectively for the single heterogeneous load index and the multi-energy coupling comprehensive carbon potential index of the heterogeneous load through the constructed single heterogeneous load index calculation model and the multi-energy coupling comprehensive carbon potential index of the heterogeneous load, so as to make an overall evaluation of the overall carbon emission level of the integrated energy system in different time spans, and at the same time, it can also meet the overall level of equivalent carbon emissions on the production capacity side related to the comprehensive energy supply required by various heterogeneous loads of each user on the load side, realize the complete "carbon footprint" tracking of energy consumption, evaluate the carbon emission level that the actual energy consumption behavior of the energy consumption unit should bear, and improve the rationality of the division of carbon emission rights and responsibilities in the multi-energy coupled integrated energy system. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a flow chart of the carbon emission level evaluation method of the enhanced micro-energy grid integrated energy system according to the first embodiment of the present invention. DETAILED DESCRIPTION

[0025] The present invention will be further described below in conjunction with specific embodiments. It should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the content taught by the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms fall within the scope limited by the appended claims of the application equally.

[0026] The first embodiment of the present invention relates to a method for evaluating the carbon emission level of an enhanced micro-energy grid integrated energy system. This embodiment is aimed at an enhanced micro-energy grid with electricity as the core, and defines carbon potential as the carbon intensity corresponding to the energy flowing into or out of a node per unit time, that is, the carbon potential is used to represent the carbon emissions on the production capacity side related to the consumption, output, charging, or release of unit energy at a certain node. Among them, the enhanced micro-energy grid is a new type of micro-energy grid that has the ability to efficiently gather and control comprehensive energy internally, has the ability to interact efficiently with the power grid, and has the ability to interconnect and radiate with a radius of tens of kilometers in the surrounding area. The total carbon potential of a certain type of energy flow input by its node is numerically equal to the weighted average of the carbon flow density of all similar energy flow branches flowing into the node with respect to the functional flow, which can be expressed as:

[0027] ;

[0028] In the formula, For branch The functional flow, For branch The carbon flow density, For Node The nodal carbon potential of For branch A collection of .

[0029] According to the above carbon flow analysis method, the carbon potential of the node output energy flow is determined according to the carbon diversion principle, among which the carbon potential of the node output homogeneous energy flow is equal, and the carbon potential of the output heterogeneous energy flow is related to the heterogeneous energy flow diversion ratio, which is the ratio of the carbon emissions related to the node output of a single heterogeneous functional energy flow to the output energy per unit time.

[0030] The definition of carbon potential can make the upstream carbon emissions caused by the conversion or transfer of energy at each downstream node in the system equivalent to the capacity side, that is, the carbon potential is used to represent the equivalent carbon emission value on the capacity side related to the node's consumption, output, charging, or release of unit energy. For a capacity node, its carbon potential is equivalent to the carbon emission intensity of the capacity equipment at the node.

[0031] like Figure 1 As shown, the enhanced micro-energy grid integrated energy system carbon emission level evaluation method of this embodiment includes the following steps:

[0032] Step 1: construct a single heterogeneous load carbon potential index calculation model based on the production capacity side equivalent carbon emission value related to the energy supply required by the single heterogeneous load, and calculate the single heterogeneous load carbon potential index according to the single heterogeneous load carbon potential index calculation model.

[0033] In order to independently evaluate the equivalent carbon emission level on the production capacity side related to the energy supply required for the single heterogeneous load of each user on the load side, the single heterogeneous load carbon potential index calculation model constructed in this step includes the single heterogeneous load daily average carbon potential calculation model, the single heterogeneous load seasonal average carbon potential calculation model and the single heterogeneous load annual average carbon potential calculation model.

[0034] Among them, the calculation model of daily average carbon potential of single heterogeneous load is:

[0035] ;

[0036] in, For energy supply season scene Single heterogeneous load On a typical day The daily average carbon potential of For energy supply season scene Single heterogeneous load On a typical day Mid-session The carbon potential represents the equivalent carbon emissions on the capacity side caused by each unit of heterogeneous energy such as electricity, heat, and cooling consumed by the load side of the integrated energy system during the minimum control period, in kgCO 2 / kWh; For energy supply season scene Single heterogeneous load On a typical day Mid-session The energy value, For the period A typical day refers to a day with the most representative power load characteristic curve or load level in a specific time period (such as a whole year or a quarter).

[0037] The daily average carbon potential of a single heterogeneous load can be calculated through the calculation model of the daily average carbon potential of a single heterogeneous load. This indicator is used to describe the comprehensive level of carbon emissions on the upstream energy supply side caused by the consumption of various heterogeneous loads on the demand side in a typical day. Its value is the time-weighted average carbon potential of the heterogeneous loads such as cold, heat, and electricity in each control period in a typical day.

[0038] The calculation model of seasonal average carbon potential of single heterogeneous load is:

[0039] ;

[0040] in, For energy supply season scene Single heterogeneous load The seasonal average carbon potential, For energy supply season scene A typical day The number of days, For energy supply season scene A typical day A collection of .

[0041] The seasonal average carbon potential of a single heterogeneous load can be calculated through the calculation model of the seasonal average carbon potential of a single heterogeneous load. This indicator is used to describe the comprehensive level of carbon emissions on the upstream energy supply side caused by the consumption of various heterogeneous loads on the demand side in a typical energy supply season scenario. Its value is the seasonal average carbon potential of the three loads of cold, heat and electricity in each energy supply season scenario, weighted by the proportion of typical days in the season.

[0042] The calculation model of annual average carbon potential of single heterogeneous load is:

[0043] ;

[0044] in, Single heterogeneous load The annual average carbon potential of For energy supply season scene A collection of .

[0045] The annual average carbon potential of a single heterogeneous load can be calculated through the annual average carbon potential calculation model. This indicator is used to describe the comprehensive level of carbon emissions on the upstream energy supply side caused by the consumption of various heterogeneous loads on the demand side over an inter-annual time span. Its value is the annual average of the typical daily average carbon potential of the three loads of cold, heat and electricity, weighted by the proportion of typical days in the whole year.

[0046] Step 2: construct a multi-energy coupling comprehensive carbon potential index calculation model for heterogeneous loads based on the single heterogeneous load carbon potential index, and calculate the multi-energy coupling comprehensive carbon potential index of the heterogeneous load according to the multi-energy coupling comprehensive carbon potential index calculation model for the heterogeneous load.

[0047] In order to comprehensively evaluate the overall level of equivalent carbon emissions on the production capacity side related to the comprehensive energy supply required to simultaneously meet the various heterogeneous loads of various users on the load side, the multi-energy coupling comprehensive carbon potential index calculation model for heterogeneous loads constructed in this step includes the multi-energy coupling energy quality weighted average comprehensive carbon potential calculation model and the multi-energy coupling root mean square comprehensive carbon potential calculation model.

[0048] The multi-energy coupling energy quality weighted average comprehensive carbon potential calculation model in this step takes into account the differences in energy quality of heterogeneous loads such as grade and energy supply cost, and weights the energy of heterogeneous loads at different time scales according to the energy quality coefficient and takes the average value. It includes a multi-energy coupling energy quality weighted daily average carbon potential calculation model, a multi-energy coupling energy quality weighted seasonal average carbon potential calculation model and a multi-energy coupling energy quality weighted annual average carbon potential calculation model.

[0049] The multi-energy coupling energy quality weighted daily average carbon potential calculation model is:

[0050] ;

[0051] in, is the daily average carbon potential weighted by multi-energy coupling energy quality, Single heterogeneous load The normalized energy quality coefficient of electricity, heat and cooling loads can be verified based on the energy efficiency of standard energy supply technology; Single heterogeneous load A collection of .

[0052] The calculation model of multi-energy coupling energy quality weighted seasonal average carbon potential is:

[0053] ;

[0054] in, is the seasonal average carbon potential weighted by multi-energy coupling energy quality.

[0055] The multi-energy coupling energy quality weighted annual average carbon potential calculation model is:

[0056] ;

[0057] in, is the annual average carbon potential weighted by multi-energy coupling energy quality.

[0058] The multi-energy coupling root mean square comprehensive carbon potential calculation model in this step regards the heterogeneous load carbon potential under different time scales as different dimensional indicators and performs root mean square calculation weighted by energy proportion to obtain the comprehensive carbon potential level, that is, the carbon potential indicator of each heterogeneous load is squared and then the average is taken according to the energy proportion and then the square root is calculated. It includes the multi-energy coupling typical daily root mean square carbon potential calculation model, the multi-energy coupling energy supply quarterly root mean square carbon potential calculation model and the multi-energy coupling annual root mean square carbon potential calculation model.

[0059] Among them, the typical daily root mean square carbon potential calculation model of multi-energy coupling is:

[0060] ;

[0061] in, is the typical daily root mean square carbon potential of multi-energy coupling.

[0062] The calculation model of seasonal root mean square carbon potential of multi-energy coupling energy supply is:

[0063] ;

[0064] in, is the root mean square carbon potential of multi-energy coupling energy supply.

[0065] The multi-energy coupling annual root mean square carbon potential calculation model is:

[0066] ;

[0067] in, Multi-energy coupled annual root mean square carbon potential.

[0068] Through the multi-energy coupling energy quality weighted average comprehensive carbon potential calculation model and the multi-energy coupling root mean square comprehensive carbon potential calculation model in this step, the multi-energy coupling energy quality weighted daily average carbon potential, seasonal average carbon potential and annual average carbon potential, the multi-energy coupling typical daily root mean square carbon potential, energy supply seasonal root mean square carbon potential and annual root mean square carbon potential can be obtained.

[0069] Step 3, based on the carbon potential index of the single heterogeneous load and the comprehensive carbon potential index of the multi-energy coupling of the heterogeneous load, the overall level of carbon emissions of the integrated energy system at different time spans is evaluated. This step can evaluate the overall level of carbon emissions of the integrated energy system at different time spans based on the daily average carbon potential, seasonal average carbon potential and annual average carbon potential of the single heterogeneous load calculated in step 1, the daily average carbon potential, seasonal average carbon potential and annual average carbon potential of the multi-energy coupling energy quality weighted calculated in step 2, the typical daily root mean square carbon potential of multi-energy coupling, the seasonal root mean square carbon potential of energy supply and the annual root mean square carbon potential.

[0070] It is not difficult to find that the single heterogeneous load index calculation model and the multi-energy coupling comprehensive carbon potential index model of heterogeneous loads constructed by the present invention can analyze and calculate the carbon emission levels on the energy consumption side in different time spans respectively for the single heterogeneous load index and the multi-energy coupling comprehensive carbon potential index of heterogeneous loads, thereby making an overall evaluation of the overall carbon emission level of the integrated energy system in different time spans, and at the same time, it can also meet the overall level of equivalent carbon emissions on the production capacity side related to the comprehensive energy supply required by various heterogeneous loads of each user on the load side, realize the complete "carbon footprint" tracking of energy consumption, evaluate the carbon emission level that the actual energy consumption behavior of energy consumption units should bear, and improve the rationality of the division of carbon emission rights and responsibilities in the multi-energy coupled integrated energy system.

[0071] The second embodiment of the present invention relates to an enhanced micro-energy grid integrated energy system carbon emission level evaluation device, comprising:

[0072] The first calculation module is used to construct a single heterogeneous load carbon potential index calculation model based on the capacity-side equivalent carbon emission value related to the energy supply required by the single heterogeneous load, and calculate the single heterogeneous load carbon potential index according to the single heterogeneous load carbon potential index calculation model;

[0073] A second calculation module is used to construct a multi-energy coupling comprehensive carbon potential index calculation model of a heterogeneous load based on the single heterogeneous load carbon potential index, and calculate the multi-energy coupling comprehensive carbon potential index of the heterogeneous load according to the multi-energy coupling comprehensive carbon potential index calculation model of the heterogeneous load;

[0074] An evaluation module is used to evaluate the overall level of carbon emissions of the integrated energy system over different time spans based on the single heterogeneous load carbon potential index and the multi-energy coupling comprehensive carbon potential index of the heterogeneous load.

[0075] The single heterogeneous load carbon potential index calculation model constructed by the first construction calculation module includes a single heterogeneous load daily average carbon potential calculation model, a single heterogeneous load seasonal average carbon potential calculation model and a single heterogeneous load annual average carbon potential calculation model.

[0076] The daily average carbon potential calculation model of a single heterogeneous load is: ; The seasonal average carbon potential calculation model of the single heterogeneous load is: ; The annual average carbon potential calculation model of the single heterogeneous load is: ,in, For energy season scenarios Single heterogeneous load On a typical day The daily average carbon potential, For energy season scenarios Single heterogeneous load The seasonal average carbon potential, Single heterogeneous load The annual average carbon potential of For energy season scenarios Single heterogeneous load On a typical day Mid-session The carbon potential of For energy season scenarios Single heterogeneous load On a typical day Mid-session The energy value, For energy season scenarios A typical day The number of days, For the period A collection of For energy season scenarios A typical day A collection of For energy season scenarios A collection of .

[0077] The multi-energy coupling comprehensive carbon potential index calculation model of the heterogeneous load constructed by the second construction calculation module includes a multi-energy coupling energy quality weighted average comprehensive carbon potential calculation model and a multi-energy coupling root mean square comprehensive carbon potential calculation model.

[0078] The multi-energy coupling energy quality weighted average comprehensive carbon potential calculation model includes a multi-energy coupling energy quality weighted daily average carbon potential calculation model, a multi-energy coupling energy quality weighted seasonal average carbon potential calculation model and a multi-energy coupling energy quality weighted annual average carbon potential calculation model.

[0079] The multi-energy coupling energy quality weighted daily average carbon potential calculation model is: ; The multi-energy coupling energy quality weighted seasonal average carbon potential calculation model is: ; The multi-energy coupling energy quality weighted annual average carbon potential calculation model is: ;in, is the daily average carbon potential weighted by multi-energy coupling energy quality, is the seasonal average carbon potential weighted by multi-energy coupling energy quality, is the annual average carbon potential weighted by multi-energy coupling energy quality, For energy season scenarios Single heterogeneous load On a typical day The daily average carbon potential, For energy season scenarios Single heterogeneous load The seasonal average carbon potential, Single heterogeneous load The annual average carbon potential of Single heterogeneous load The normalized energy quality coefficient, For energy season scenarios Single heterogeneous load On a typical day Mid-session The energy value, For energy season scenarios A typical day The number of days, Single heterogeneous load A collection of For the period A collection of For energy season scenarios A typical day A collection of For energy supply season scene A collection of .

[0080] The multi-energy coupling root mean square comprehensive carbon potential calculation model includes a multi-energy coupling typical daily root mean square carbon potential calculation model, a multi-energy coupling energy supply quarterly root mean square carbon potential calculation model and a multi-energy coupling annual root mean square carbon potential calculation model.

[0081] The typical daily root mean square carbon potential calculation model of multi-energy coupling is: ; The calculation model of the root mean square carbon potential of the multi-energy coupling energy supply is: ; The multi-energy coupling annual root mean square carbon potential calculation model is: ;in, is the typical daily RMS carbon potential of multi-energy coupling, is the seasonal root mean square carbon potential of multi-energy coupling energy supply, is the multi-energy coupled annual root mean square carbon potential, For energy supply season scene Single heterogeneous load On a typical day The daily average carbon potential, For energy supply season scene Single heterogeneous load The seasonal average carbon potential, Single heterogeneous load The annual average carbon potential of For energy supply season scene Single heterogeneous load On a typical day Mid-session The energy value, For energy supply season scene A typical day The number of days, Single heterogeneous load A collection of For the period A collection of For energy supply season scene A typical day A collection of For energy supply season scene A collection of .

[0082] The third embodiment of the present invention relates to an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the enhanced micro-energy grid integrated energy system carbon emission level evaluation method of the first embodiment when executing the computer program.

[0083] The fourth embodiment of the present invention relates to a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the enhanced micro-energy grid integrated energy system carbon emission level evaluation method of the first embodiment.

[0084] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application 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 and optical storage, etc.) containing computer-usable program codes.

[0085] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes 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 generate 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.

[0086] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction method, which is implemented in the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0087] 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. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0088] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for evaluating carbon emission levels of an enhanced micro-energy grid integrated energy system, characterized in that: The following steps are involved: A single heterogeneous load carbon potential index calculation model is constructed based on the capacity-side equivalent carbon emission value related to the energy supply required by the single heterogeneous load, and the single heterogeneous load carbon potential index is calculated according to the single heterogeneous load carbon potential index calculation model; the single heterogeneous load carbon potential index calculation model includes a single heterogeneous load daily average carbon potential calculation model, a single heterogeneous load seasonal average carbon potential calculation model and a single heterogeneous load annual average carbon potential calculation model; The single heterogeneous load daily average carbon potential calculation model is used to calculate the single heterogeneous load daily average carbon potential; The single heterogeneous load seasonal average carbon potential calculation model is used to calculate the single heterogeneous load seasonal average carbon potential; The single heterogeneous load annual average carbon potential calculation model is used to calculate the single heterogeneous load annual average carbon potential; Based on the single heterogeneous load carbon potential index, a multi-energy coupling comprehensive carbon potential index calculation model for heterogeneous loads is constructed, and the multi-energy coupling comprehensive carbon potential index calculation model for heterogeneous loads is used to calculate the multi-energy coupling comprehensive carbon potential index of heterogeneous loads; the multi-energy coupling comprehensive carbon potential index calculation model for heterogeneous loads includes a multi-energy coupling energy quality weighted average comprehensive carbon potential calculation model and a multi-energy coupling root mean square comprehensive carbon potential calculation model; wherein, the multi-energy coupling energy quality weighted average comprehensive carbon potential calculation model is used to take the average value of the energy of heterogeneous loads at different time scales after weighting according to the energy quality coefficient while considering the energy quality difference of heterogeneous loads; the multi-energy coupling root mean square comprehensive carbon potential calculation model regards the carbon potential of heterogeneous loads at different time scales as different dimensional indicators and performs root mean square calculation weighted by energy proportion to obtain the comprehensive carbon potential level; The overall level of carbon emissions of the integrated energy system over different time spans is evaluated based on the single heterogeneous load carbon potential index and the multi-energy coupling comprehensive carbon potential index of the heterogeneous load.

2. The method for evaluating carbon emission levels of an enhanced micro-energy grid integrated energy system according to claim 1 is characterized in that: The daily average carbon potential calculation model of a single heterogeneous load is: The seasonal average carbon potential calculation model for a single heterogeneous load is: The annual average carbon potential calculation model of the single heterogeneous load is: in, is the daily average carbon potential of a single heterogeneous load e on a typical day d under energy supply season scenario s, is the seasonal average carbon potential of a single heterogeneous load e under energy supply season scenario s, is the annual average carbon potential of a single heterogeneous load e; is the carbon potential of a single heterogeneous load e in a typical day d during period h under energy supply season scenario s, Num is the energy value of a single heterogeneous load e in a typical day d during period h under energy supply season scenario s. s,d is the number of days occupied by typical days d in energy supply season scenario s, Ω h is the set of time periods h, Ω s d is the set of typical days d under energy supply season scenario s, Ω s A collection of energy supply season scenarios.

3. The method for evaluating carbon emission levels of an enhanced micro-energy grid integrated energy system according to claim 1 is characterized in that: The multi-energy coupling energy quality weighted average comprehensive carbon potential calculation model includes a multi-energy coupling energy quality weighted daily average carbon potential calculation model, a multi-energy coupling energy quality weighted seasonal average carbon potential calculation model and a multi-energy coupling energy quality weighted annual average carbon potential calculation model.

4. The method for evaluating carbon emission levels of an enhanced micro-energy grid integrated energy system according to claim 3 is characterized in that: The multi-energy coupling energy quality weighted daily average carbon potential calculation model is: The multi-energy coupling energy quality weighted seasonal average carbon potential calculation model is: The multi-energy coupling energy quality weighted annual average carbon potential calculation model is: in, is the daily average carbon potential weighted by multi-energy coupling energy quality, is the seasonal average carbon potential weighted by multi-energy coupling energy quality, ACP QAML is the annual average carbon potential weighted by multi-energy coupling energy quality, is the daily average carbon potential of a single heterogeneous load e on a typical day d under energy supply season scenario s, is the seasonal average carbon potential of a single heterogeneous load e under energy supply season scenario s, is the annual average carbon potential of a single heterogeneous load e, is the normalized energy quality coefficient of a single heterogeneous load e, Num is the energy value of a single heterogeneous load e in a typical day d during period h under energy supply season scenario s. s,d is the number of days occupied by typical days d in energy supply season scenario s, Ω e is a collection of single heterogeneous loads e, Ω h is the set of time periods h, Ω s d is the set of typical days d under energy supply season scenario s, Ω s A collection of energy supply season scenarios.

5. The method for evaluating carbon emission levels of an enhanced micro-energy grid integrated energy system according to claim 1 is characterized in that: The multi-energy coupling root mean square comprehensive carbon potential calculation model includes a multi-energy coupling typical daily root mean square carbon potential calculation model, a multi-energy coupling energy supply quarterly root mean square carbon potential calculation model and a multi-energy coupling annual root mean square carbon potential calculation model.

6. The method for evaluating carbon emission levels of an enhanced micro-energy grid integrated energy system according to claim 5 is characterized in that: The typical daily root mean square carbon potential calculation model of multi-energy coupling is: The calculation model of the root mean square carbon potential of the multi-energy coupling energy supply is: The multi-energy coupling annual root mean square carbon potential calculation model is: in, is the typical daily RMS carbon potential of multi-energy coupling, is the seasonal root mean square carbon potential of multi-energy coupling energy supply, ACP ERML is the multi-energy coupled annual root mean square carbon potential, is the daily average carbon potential of a single heterogeneous load e on a typical day d under energy supply season scenario s, is the seasonal average carbon potential of a single heterogeneous load e under energy supply season scenario s, is the annual average carbon potential of a single heterogeneous load e, Num is the energy value of a single heterogeneous load e in a typical day d during period h under energy supply season scenario s. s,d is the number of days occupied by typical days d in energy supply season scenario s, Ω e is a collection of single heterogeneous loads e, Ω h is the set of time periods h, is the set of typical days d under energy supply season scenario s, Ω s A collection of energy supply season scenarios.

7. An enhanced micro-energy grid integrated energy system carbon emission level evaluation device, characterized in that: include: The first calculation module is used to construct a single heterogeneous load carbon potential index calculation model based on the production capacity side equivalent carbon emission value related to the energy supply required by the single heterogeneous load, and calculate the single heterogeneous load carbon potential index according to the single heterogeneous load carbon potential index calculation model; the single heterogeneous load carbon potential index calculation model includes a single heterogeneous load daily average carbon potential calculation model, a single heterogeneous load seasonal average carbon potential calculation model and a single heterogeneous load annual average carbon potential calculation model; The single heterogeneous load daily average carbon potential calculation model is used to calculate the single heterogeneous load daily average carbon potential; The single heterogeneous load seasonal average carbon potential calculation model is used to calculate the single heterogeneous load seasonal average carbon potential; The single heterogeneous load annual average carbon potential calculation model is used to calculate the single heterogeneous load annual average carbon potential; The second construction calculation module is used to construct a multi-energy coupling comprehensive carbon potential index calculation model of heterogeneous load based on the single heterogeneous load carbon potential index, and calculate the multi-energy coupling comprehensive carbon potential index of the heterogeneous load according to the multi-energy coupling comprehensive carbon potential index calculation model of the heterogeneous load; the multi-energy coupling comprehensive carbon potential index calculation model of the heterogeneous load includes a multi-energy coupling energy quality weighted average comprehensive carbon potential calculation model and a multi-energy coupling root mean square comprehensive carbon potential calculation model; wherein, the multi-energy coupling energy quality weighted average comprehensive carbon potential calculation model is used to take the average value of the energy of the heterogeneous load at different time scales after weighting according to the energy quality coefficient while considering the energy quality difference of the heterogeneous load; the multi-energy coupling root mean square comprehensive carbon potential calculation model regards the carbon potential of the heterogeneous load at different time scales as different dimensional indicators and performs root mean square calculation weighted by energy proportion to obtain the comprehensive carbon potential level; An evaluation module is used to evaluate the overall level of carbon emissions of the integrated energy system over different time spans based on the single heterogeneous load carbon potential index and the multi-energy coupling comprehensive carbon potential index of the heterogeneous load.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the enhanced micro-energy grid integrated energy system carbon emission level evaluation method as described in any one of claims 1-6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the enhanced micro-energy grid integrated energy system carbon emission level evaluation method as described in any one of claims 1-6 are implemented.

Images