Product production power utilization scheme optimization method and system based on power carbon footprint

Abstract

The invention provides a product production power utilization scheme optimization method and system based on an electric power carbon footprint, and the method comprises the steps: firstly, carrying out the accounting of the carbon footprint factors of a power supply, a transformer substation and a power transmission and distribution line in an area where a power grid node of product production is located; then, carbon footprint factors of a power supply, a transformer substation and a power transmission and distribution line in the region are superposed to power grid node carbon potential distribution through power flow, an electric power carbon footprint flow is formed, and a product power utilization scheme optimization model with the minimum product electric power carbon footprint as the target is constructed based on the electric power carbon footprint flow; and finally, according to the product power utilization scheme optimization model, determining a product production power utilization optimal scheme. According to the invention, accurate accounting of the power carbon footprint of the product is realized, and the accuracy of power utilization scheme optimization of the product is ensured.

Description

Technical Field

[0001] The present invention belongs to the field of electric power technology, and specifically relates to a method and system for optimizing a product production electricity consumption plan based on electric power carbon footprint. Background Art

[0002] With the popularization of ecological and environmental awareness among residents, the concept of green consumption has gradually taken root in people's hearts, and green environmental labels will greatly increase the market competitiveness of products or brands. Calculating the carbon footprint of electricity in the production process of products based on real-time data from the power grid will not only help reduce the carbon footprint of electricity of products and help fine-tune the control of green production of products, but also effectively promote the transformation of corporate production processes towards green and low-carbon.

[0003] Most of the existing power system carbon footprint life cycle accounting methods use years as the accounting unit, which has problems such as large time scale and lack of spatiotemporal dynamics. It is difficult to timely reflect the differences in power carbon emissions caused by changes in system source and load carbon emissions. The power carbon emission accounting method based on carbon emission flow tracking ignores the carbon emissions in the remaining life cycle stages except the operation stage of the power system, resulting in inaccurate power carbon emission accounting results, which is not conducive to the accurate accounting of product power carbon emissions and the refined management and control of carbon footprint levels. Summary of the invention

[0004] The purpose of the present invention is to provide a method and system for optimizing product production electricity consumption plans based on electricity carbon footprint in order to address the above-mentioned problems existing in the prior art.

[0005] To achieve the above objectives, the technical solution of the present invention is as follows:

[0006] In a first aspect, the present invention proposes a method for optimizing a product production electricity consumption plan based on electricity carbon footprint, comprising:

[0007] S1. Calculate the carbon footprint factors of power sources, substations and transmission and distribution lines in the area where the power grid nodes used for product production are located;

[0008] S2. Superimpose the carbon footprint factors of power sources, substations and transmission and distribution lines in the region on the carbon potential distribution of power grid nodes through power flow to form a power carbon footprint flow, wherein the power carbon footprint flow includes the power carbon footprint factors of each power grid node;

[0009] S3. Based on the electricity carbon footprint flow, a product electricity consumption plan optimization model is constructed with the goal of minimizing the product electricity carbon footprint;

[0010] S4. Determine the optimal electricity plan for product production based on the product electricity plan optimization model, including product production power and production time period.

[0011] In S2, the power carbon footprint factor of each grid node is calculated according to the following formula:

[0012]

[0013] In the above formula, C n,t is the carbon footprint factor of the power grid node n in period t, X and Y are the number of injected power branches and the number of generator sets connected to the grid node n in the region, respectively. C x,t are the power and carbon flow density of the xth power injection branch in period t, is the injected power of the yth generator set in period t, C link,x , C sou,y is the carbon footprint factor of the x-th transmission and transformation line and the y-th generator set, C sub,n is the carbon footprint factor of the substation at grid node n.

[0014] In S3, the product power consumption plan optimization model is:

[0015]

[0016] In the above formula, E pro is the product electricity carbon footprint, C m,t is the carbon footprint factor of power grid node m during period t, P m,t is the power consumption of product production in period t, T m is the production period of the product, M is the number of grid nodes connected to the product during production, and A loc A is the set of grid nodes that can be connected to the electricity used for product production. tim A collection of selectable time periods for producing a product.

[0017] In S1, the carbon footprint factor of the power supply in the region is calculated according to the following formula:

[0018]

[0019] Q LCA,i =W RC,i δ i T sou,i

[0020] In the above formula, C sou,i is the carbon footprint factor of the ith power source, E LCA,i is the carbon emission of the entire life cycle of the i-th power source, Q LCA,i is the total power generation of the ith power source in its life cycle, A a,r , g a,r are the energy consumption and carbon emission factor of the ath link of the power plant cycle. The power plant cycle includes five links: equipment production, equipment transportation, power plant construction, power plant operation and power plant retirement. b,s 、fb,s is the consumption and carbon emission factor of energy s in the bth link of the fuel cycle. The fuel cycle includes four links: fuel mining, fuel transportation, power generation and waste treatment. W RC,i ,δ i 、T sou,i are the installed capacity, load factor and operating life of the i-th power source respectively.

[0021] In S1, the carbon footprint factor of the substations and transmission and distribution lines in the region is calculated according to the following formula:

[0022]

[0023] In the above formula, C sub,j , C lin,k are the carbon footprint factors of substation j and transmission and distribution line k, respectively, d,u 、h d,u are the energy consumption and carbon emission factor of the dth link in the whole life cycle of the substation, W sub,j , Q sub,j , H sub,j 、T sub,j are the capacity, average load, annual available hours, and operating life of substation j, respectively. e,v , l e,v are the energy consumption and carbon emission factor of the e-th link in the whole life cycle of the transmission and distribution line, Q link,k 、T lin,k are the average annual power transmission and service life of the transmission and distribution line k respectively.

[0024] In the second aspect, the present invention proposes a product production electricity consumption plan optimization system based on electricity carbon footprint, including a source-grid side carbon footprint factor accounting module, an electricity carbon footprint flow calculation module, an optimization model construction module, and an optimal electricity consumption plan determination module;

[0025] The source-grid side carbon footprint factor calculation module is used to calculate the carbon footprint factors of power sources, substations and transmission and distribution lines in the area where the power grid nodes for product production electricity are located;

[0026] The power carbon footprint flow calculation module is used to superimpose the carbon footprint factors of power sources, substations and transmission and distribution lines in the region to the carbon potential distribution of power grid nodes through power flow to form a power carbon footprint flow, which includes the power carbon footprint factor of each power grid node;

[0027] The optimization model building module is used to build a product power consumption plan optimization model with the goal of minimizing the product power carbon footprint based on the power carbon footprint flow;

[0028] The optimal power consumption plan determination module is used to determine the optimal power consumption plan for product production according to the product power consumption plan optimization model, including the product production power and production time period.

[0029] The power carbon footprint flow calculation module calculates the power carbon footprint factor of each grid node according to the following formula:

[0030]

[0031] In the above formula, C n,t is the carbon footprint factor of the power grid node n in period t, X and Y are the number of injected power branches and the number of generator sets connected to the grid node n in the region, respectively. C x,t are the power and carbon flow density of the xth power injection branch in period t, is the injected power of the yth generator set in period t, C link,x , C sou,y is the carbon footprint factor of the x-th transmission and transformation line and the y-th generator set, C sub,n is the carbon footprint factor of the substation at grid node n.

[0032] The product power consumption optimization model is:

[0033]

[0034] In the above formula, E pro is the product electricity carbon footprint, C m,t is the carbon footprint factor of power grid node m during period t, P m,t is the power consumption of product production in period t, T m is the production period of the product, M is the number of grid nodes connected to the product during production, and A loc A is the set of grid nodes that can be connected to the electricity used for product production. tim A collection of selectable time periods for producing a product.

[0035] The source-grid side carbon footprint factor calculation module calculates the carbon footprint factor of the power supply in the region according to the following formula:

[0036]

[0037] Q LCA,i =W RC,i δ i T sou,i

[0038] In the above formula, C sou,i is the carbon footprint factor of the ith power source, E LCA,i is the carbon emission of the entire life cycle of the i-th power source, Q LCA,iis the total power generation of the ith power source in its life cycle, A a,r , g a,r are the energy consumption and carbon emission factor of the ath link of the power plant cycle. The power plant cycle includes five links: equipment production, equipment transportation, power plant construction, power plant operation and power plant retirement. b,s 、f b,s is the consumption and carbon emission factor of energy s in the bth link of the fuel cycle. The fuel cycle includes four links: fuel mining, fuel transportation, power generation and waste treatment. W RC,i , δ i , T sou,i are the installed capacity, load factor and operating life of the i-th power source respectively.

[0039] The source-grid side carbon footprint factor calculation module calculates the carbon footprint factors of the substations and transmission and distribution lines in the region according to the following formula:

[0040]

[0041] In the above formula, C sub,j , C lin,k are the carbon footprint factors of substation j and transmission and distribution line k, respectively, d,u 、h d,u are the energy consumption and carbon emission factor of the dth link in the whole life cycle of the substation, W sub,j , Q sub,j , H sub,j , T sub,j are the capacity, average load, annual available hours, and operating life of substation j, respectively. e,v , l e,v are the energy consumption and carbon emission factor of the e-th link in the whole life cycle of the transmission and distribution line, Q link,k , T lin,k are the average annual power transmission and service life of the transmission and distribution line k respectively.

[0042] Compared with the prior art, the present invention has the following beneficial effects:

[0043] 1. The present invention provides a method for optimizing the electricity consumption plan for product production based on the electricity carbon footprint. First, the carbon footprint factors of the power sources, substations and transmission and distribution lines in the area where the power grid nodes for product production are located are calculated. Then, the carbon footprint factors of the power sources, substations and transmission and distribution lines in the area are superimposed on the carbon potential distribution of the power grid nodes through the power flow to form an electricity carbon footprint flow. Then, based on the electricity carbon footprint flow, a product electricity consumption plan optimization model with the goal of minimizing the product electricity carbon footprint is constructed. Finally, the optimal electricity consumption plan for product production is determined according to the product electricity consumption plan optimization model. This method proposes an electricity carbon footprint flow by dynamically tracking the regional electricity carbon footprint in time and space, and realizes the accurate calculation of the product electricity carbon footprint based on the electricity carbon footprint flow, thereby ensuring the accuracy of the optimization of the product electricity consumption plan.

[0044] 2. When calculating the carbon footprint factor on the source and network side, the method for optimizing the electricity consumption plan for product production based on the electricity carbon footprint of the present invention takes into account both the carbon emissions of the power plant cycle and the carbon emissions of the fuel cycle for the source side, for non-fossil energy power plants (since non-fossil energy power plants generate carbon emissions during the construction of the power plant cycle, their electricity carbon footprint factor should not be 0); for the network side, the carbon emissions caused by the power transmission and distribution projects in the power grid are taken into account, and they are shared over the entire life cycle of the power transmission and distribution lines. The above design makes the calculation results of the carbon footprint factor on the source and network side more reasonable and scientific. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 This is a flowchart of the method described in Example 1.

[0046] Figure 2 The structure diagram of the system of the present invention is shown in FIG. DETAILED DESCRIPTION

[0047] The present invention is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0048] Embodiment 1:

[0049] A method for optimizing electricity consumption scheme for product production based on electricity carbon footprint, such as Figure 1 As shown, the specific steps are as follows:

[0050] 1. For the area where the power grid node used for product production is located, obtain the power supply information in the area and calculate the carbon footprint factor of each power supply on the source side.

[0051] Considering that when the power source is non-renewable energy, its full life cycle includes the power plant cycle and the fuel cycle; when the power source is renewable energy, its full life cycle only includes the power plant cycle. The power plant cycle includes five links: equipment production, equipment transportation, power plant construction, power plant operation and power plant decommissioning; the fuel cycle includes four links: fuel mining, fuel transportation, power generation operation and waste treatment. There are:

[0052]

[0053] In the above formula, E LCA,i is the carbon emission of the entire life cycle of the i-th power source, A a,r , g a,r are the energy consumption and carbon emission factor of the ath link of the power plant cycle, B b,s 、f b,s is the energy consumption and carbon emission factor of the bth link in the fuel cycle.

[0054] For the total power generation of each power source during its life cycle, we have:

[0055] Q LCA,i =W RC,i δ i T sou,i

[0056] In the above formula, Q LCA,i is the total power generation of the ith power source in its life cycle, W RC,i ,δ i 、T sou,i are the installed capacity, load factor and operating life of the i-th power source respectively.

[0057] Therefore, the carbon footprint factor for each power source is:

[0058]

[0059] In the above formula, C sou,i is the carbon footprint factor of the i-th power source.

[0060] 2. Calculate the carbon footprint factors of grid-side substations and transmission and distribution lines in the region.

[0061] The entire life cycle of a substation includes four links: construction, building materials production and transportation, operation, and recycling; the entire life cycle of a transmission and distribution line includes four links: design planning, construction, operation and maintenance, and scrapping and recycling.

[0062]

[0063] In the above formula, C sub,j , C lin,k are the carbon footprint factors of substation j and transmission and distribution line k, respectively,d,u 、h d,u are the energy consumption and carbon emission factor of the dth link in the whole life cycle of the substation, W sub,j , Q sub,j , H sub,j 、T sub,j are the capacity, average load, annual available hours, and operating life of substation j, respectively. e,v , l e,v are the energy consumption and carbon emission factor of the e-th link in the whole life cycle of the transmission and distribution line, Q link,k 、T lin,k are the average annual power transmission and service life of the transmission and distribution line k respectively.

[0064] 3. The carbon footprint factors of power sources, substations and transmission and distribution lines in the region are superimposed on the carbon potential distribution of the grid nodes through the power flow to form a power carbon footprint flow including the power carbon footprint factors of each grid node. The calculation formula of the power carbon footprint factor of each grid node is as follows:

[0065]

[0066] In the above formula, C n,t is the carbon footprint factor of the power grid node n in period t, X and Y are the number of injected power branches and the number of generator sets (i.e., power sources) connected to the grid node n in the region, respectively. C x,t are the power and carbon flow density of the xth power injection branch in period t, is the injected power of the yth generator set in period t, C link,x , C sou,y is the carbon footprint factor of the x-th transmission and transformation line and the y-th generator set, C sub,n is the carbon footprint factor of the substation at grid node n.

[0067] 4. Based on the electricity carbon footprint and the information flow of product production electricity consumption, the following product electricity consumption optimization model is constructed with the goal of minimizing the product electricity carbon footprint:

[0068]

[0069] In the above formula, E pro is the product electricity carbon footprint, C m,t is the carbon footprint factor of power grid node m during period t, P m,t is the power consumption of product production in period t, T m is the production period of the product, M is the number of grid nodes connected to the product during production, and A loc A is the set of grid nodes that can be connected to the electricity used for product production. timA collection of selectable time periods for producing a product.

[0070] The electricity consumption of product production in this embodiment involves three grid node locations. The electricity carbon footprint factor and electricity consumption information of each grid node are shown in Table 1:

[0071] Table 1 Electricity carbon footprint factors and electricity consumption information of each grid node

[0072]

[0073] 5. Determine the optimal electricity plan for product production based on the product electricity plan optimization model, including product production power and production time period.

[0074] The power consumption arrangement of each scheme in this embodiment is shown in Table 2:

[0075] Table 2 Electricity usage arrangements for each scheme

[0076]

[0077] By comparison, we can see that the product electricity carbon footprint level of Scheme 2 is the lowest, and the production arrangement of the product can be adjusted based on Scheme 2.

[0078] Embodiment 2:

[0079] A product production electricity consumption optimization system based on electricity carbon footprint, such as Figure 2 As shown, it includes a source-grid side carbon footprint factor calculation module, a power carbon footprint flow calculation module, an optimization model construction module, and an optimal power consumption plan determination module.

[0080] The source-grid side carbon footprint factor calculation module is used to calculate the carbon footprint factors of the power supply, substation and transmission and distribution lines in the area where the power grid node for product production electricity is located. The carbon footprint factor of the power supply in the area is calculated according to the following formula:

[0081]

[0082] Q LCA,i =W RC,i δ i T sou,i

[0083] In the above formula, C sou,i is the carbon footprint factor of the ith power source, E LCA,i is the carbon emission of the entire life cycle of the i-th power source, Q LCA,i is the total power generation of the ith power source in its life cycle, A a,r , g a,rare the energy consumption and carbon emission factor of the ath link of the power plant cycle. The power plant cycle includes five links: equipment production, equipment transportation, power plant construction, power plant operation and power plant retirement. b,s 、f b,s is the consumption and carbon emission factor of energy s in the bth link of the fuel cycle. The fuel cycle includes four links: fuel mining, fuel transportation, power generation and waste treatment. W RC,i , δ i , T sou,i are the installed capacity, load factor and operating life of the i-th power source respectively;

[0084] The carbon footprint factor of substations and transmission and distribution lines in the region is calculated according to the following formula:

[0085]

[0086] In the above formula, C sub,j , C lin,k are the carbon footprint factors of substation j and transmission and distribution line k, respectively, d,u 、h d,u are the energy consumption and carbon emission factor of the dth link in the whole life cycle of the substation, W sub,j , Q sub,j , H sub,j , T sub,j are the capacity, average load, annual available hours, and operating life of substation j, respectively. e,v , l e,v are the energy consumption and carbon emission factor of the e-th link in the whole life cycle of the transmission and distribution line, Q link,k , T lin,k are the average annual power transmission and service life of the transmission and distribution line k respectively.

[0087] The power carbon footprint flow calculation module is used to superimpose the carbon footprint factors of power sources, substations and transmission and distribution lines in the region to the carbon potential distribution of grid nodes through power flow to form a power carbon footprint flow. The power carbon footprint flow includes the power carbon footprint factor of each grid node, which is calculated according to the following formula:

[0088]

[0089] In the above formula, C n,t is the carbon footprint factor of the power grid node n in period t, X and Y are the number of injected power branches and the number of generator sets connected to the grid node n in the region, respectively. C x,t are the power and carbon flow density of the xth power injection branch in period t, is the injected power of the yth generator set in period t, C link,x, C sou,y is the carbon footprint factor of the x-th transmission and transformation line and the y-th generator set, C sub,n is the carbon footprint factor of the substation at grid node n.

[0090] The optimization model building module is used to build the following product power consumption plan optimization model with the goal of minimizing the product power carbon footprint based on the power carbon footprint flow:

[0091]

[0092] In the above formula, E pro is the product electricity carbon footprint, C m,t is the carbon footprint factor of power grid node m during period t, P m,t is the power consumption of product production in period t, T m is the production period of the product, M is the number of grid nodes connected to the product during production, and A loc A is the set of grid nodes that can be connected to the electricity used for product production. tim A collection of selectable time periods for producing a product.

[0093] The optimal power consumption plan determination module is used to determine the optimal power consumption plan for product production according to the product power consumption plan optimization model, including the product production power and production time period.

Claims

1. A method for optimizing product production electricity consumption plan based on electricity carbon footprint, characterized in that: The method comprises: S1. Calculate the carbon footprint factors of power sources, substations and transmission and distribution lines in the area where the power grid nodes used for product production are located; S2. Superimpose the carbon footprint factors of power sources, substations and transmission and distribution lines in the region on the carbon potential distribution of power grid nodes through power flow to form a power carbon footprint flow, wherein the power carbon footprint flow includes the power carbon footprint factors of each power grid node; S3. Based on the electricity carbon footprint flow, a product electricity consumption plan optimization model is constructed with the goal of minimizing the product electricity carbon footprint; S4. Determine the optimal electricity plan for product production based on the product electricity plan optimization model, including product production power and production time period.

2. The method for optimizing product production electricity consumption plan based on electricity carbon footprint according to claim 1 is characterized in that: In S2, the power carbon footprint factor of each grid node is calculated according to the following formula: In the above formula, Cn,t is the carbon footprint factor of the power grid node n in period t, X and Y are the number of injected power branches and the number of generator sets connected to the grid node n in the region, respectively. Cx,t is the power and carbon flow density of the xth power injection branch in period t, is the injected power of the y-th generator set in period t, Clink,x, Csou,y are the carbon footprint factors of the x-th transmission and transformation line and the y-th generator set, and Csub,n is the carbon footprint factor of the substation at the grid node n.

3. A method for optimizing product production electricity consumption scheme based on electricity carbon footprint according to claim 1 or 2, characterized in that: In S3, the product power consumption plan optimization model is: In the above formula, Epro is the electricity carbon footprint of the product, Cm,t is the electricity carbon footprint factor of the grid node m in period t, Pm,t is the electricity power used in product production in period t, Tm is the product production period, M is the number of grid nodes connected to the product when it is produced, Aloc is the set of grid nodes that can be connected to the product production, and Atim is the set of optional time periods for product production.

4. A method for optimizing product production electricity consumption scheme based on electricity carbon footprint according to claim 1 or 2, characterized in that: In S1, the carbon footprint factor of the power supply in the region is calculated according to the following formula: Q LCA ,i=W RC ,iδiTsou,i In the above formula, Csou,i is the carbon footprint factor of the i-th power source, E LCA , i is the carbon emission of the entire life cycle of the i-th power source, Q LCA ,i is the total power generation of the ith power source in its life cycle, Aa,r, ga,r are the consumption and carbon emission factor of energy r in the ath link of the power plant cycle, respectively. The power plant cycle includes five links: equipment production, equipment transportation, power plant construction, power plant operation and power plant decommissioning. Bb,s, fb,s are the consumption and carbon emission factor of energy s in the bth link of the fuel cycle, respectively. The fuel cycle includes four links: fuel mining, fuel transportation, power generation operation and waste treatment. W RC,i ,δi,T sou,i are the installed capacity, load factor and operating life of the i-th power source respectively.

5. A method for optimizing product production electricity consumption plan based on electricity carbon footprint according to claim 1 or 2, characterized in that: In S1, the carbon footprint factor of the substations and transmission and distribution lines in the region is calculated according to the following formula: In the above formula, Csub,j and Clin,k are the carbon footprint factors of substation j and transmission and distribution line k respectively, Dd,u and hd,u are the consumption and carbon emission factor of energy u in the dth link of the substation life cycle respectively, Wsub,j, Qsub,j, Hsub,j and Tsub,j are the capacity, average load, annual available hours and operating life of substation j respectively, Ge,v and le,v are the consumption and carbon emission factor of energy v in the eth link of the transmission and distribution line life cycle respectively, Qlink,k and Tlin,k are the average annual power transmission and service life of transmission and distribution line k respectively.

6. A product production electricity consumption plan optimization system based on electricity carbon footprint, characterized in that: The system includes a source-grid side carbon footprint factor calculation module, an electricity carbon footprint flow calculation module, an optimization model construction module, and an optimal electricity consumption plan determination module; The source-grid side carbon footprint factor calculation module is used to calculate the carbon footprint factors of power sources, substations and transmission and distribution lines in the area where the power grid nodes for product production electricity are located; The power carbon footprint flow calculation module is used to superimpose the carbon footprint factors of power sources, substations and transmission and distribution lines in the region to the carbon potential distribution of power grid nodes through power flow to form a power carbon footprint flow, which includes the power carbon footprint factor of each power grid node; The optimization model building module is used to build a product power consumption plan optimization model with the goal of minimizing the product power carbon footprint based on the power carbon footprint flow; The optimal power consumption plan determination module is used to determine the optimal power consumption plan for product production according to the product power consumption plan optimization model, including the product production power and production time period.

7. The product production electricity consumption plan optimization system based on electricity carbon footprint according to claim 6 is characterized in that: The power carbon footprint flow calculation module calculates the power carbon footprint factor of each grid node according to the following formula: In the above formula, Cn,t is the carbon footprint factor of the power grid node n in period t, X and Y are the number of injected power branches and the number of generator sets connected to the grid node n in the region, respectively. Cx,t is the power and carbon flow density of the xth power injection branch in period t, is the injected power of the y-th generator set in period t, Clink,x, Csou,y are the carbon footprint factors of the x-th transmission and transformation line and the y-th generator set, and Csub,n is the carbon footprint factor of the substation at the grid node n.

8. A product production electricity consumption plan optimization system based on electricity carbon footprint according to claim 6 or 7, characterized in that: The product power consumption optimization model is: In the above formula, Epro is the electricity carbon footprint of the product, Cm,t is the electricity carbon footprint factor of the grid node m in period t, Pm,t is the electricity power used in product production in period t, Tm is the product production period, M is the number of grid nodes connected to the product when it is produced, Aloc is the set of grid nodes that can be connected to the product production, and Atim is the set of optional time periods for product production.

9. A product production electricity consumption plan optimization system based on electricity carbon footprint according to claim 6 or 7, characterized in that: The source-grid side carbon footprint factor calculation module calculates the carbon footprint factor of the power supply in the region according to the following formula: Q LCA ,i=W RC ,iδiTsou,i In the above formula, Csou,i is the carbon footprint factor of the i-th power source, E LCA , i is the carbon emission of the entire life cycle of the i-th power source, Q LCA ,i is the total power generation of the ith power source in its life cycle, Aa,r, ga,r are the consumption and carbon emission factor of energy r in the ath link of the power plant cycle, respectively. The power plant cycle includes five links: equipment production, equipment transportation, power plant construction, power plant operation and power plant decommissioning. Bb,s, fb,s are the consumption and carbon emission factor of energy s in the bth link of the fuel cycle, respectively. The fuel cycle includes four links: fuel mining, fuel transportation, power generation operation and waste treatment. W RC,i ,δi,T sou,i are the installed capacity, load factor and operating life of the i-th power source respectively.

10. A product production electricity consumption plan optimization system based on electricity carbon footprint according to claim 6 or 7, characterized in that: The source-grid side carbon footprint factor calculation module calculates the carbon footprint factors of the substations and transmission and distribution lines in the region according to the following formula: In the above formula, Csub,j and Clin,k are the carbon footprint factors of substation j and transmission and distribution line k respectively, Dd,u and hd,u are the consumption and carbon emission factor of energy u in the dth link of the substation life cycle respectively, Wsub,j, Qsub,j, Hsub,j and Tsub,j are the capacity, average load, annual available hours and operating life of substation j respectively, Ge,v and le,v are the consumption and carbon emission factor of energy v in the eth link of the transmission and distribution line life cycle respectively, Qlink,k and Tlin,k are the average annual power transmission and service life of transmission and distribution line k respectively.

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