Carbon allocation method and system for electricity-carbon cooperation
By abstracting the power grid into a node and branch model and combining power flow calculation and carbon flow tracing technology, the problem of unfair allocation of carbon emissions from grid losses is solved, achieving accurate matching and fair allocation of carbon responsibility, and supporting the application of power grid optimization scheduling and trading platforms.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- WUXI XINENG REAL ESTATE MANAGEMENT CO LTD
- Filing Date
- 2025-12-23
- Publication Date
- 2026-04-10
AI Technical Summary
Existing carbon allocation methods cannot fairly and reasonably allocate the carbon emissions corresponding to transmission network losses (network losses), making it difficult to accurately assign carbon emission responsibilities between the load side and the generation side of the power grid, which affects user incentives and grid optimization scheduling.
The target power grid is abstracted into a network model of nodes and branches. Through power flow calculation and carbon flow tracing technology, the carbon flow intensity and contribution ratio of each node and branch are determined. The carbon emissions from network losses are then proportionally allocated to the generation nodes and load nodes, achieving precise matching of carbon responsibility.
It achieves fair allocation of carbon emissions from network losses, accurately matches responsibility with physical processes, provides more equitable and reasonable carbon emission accounting results, and facilitates integration and application with existing scheduling and trading platforms.
Smart Images
Figure CN121836098A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of electric carbon coordination, in particular to a carbon allocation method and system for electric carbon coordination. BACKGROUND
[0002] In the prior art, there are mainly two types of carbon allocation methods for the power consumption side: one is a method based on average power generation carbon consumption rate, which allocates the total carbon emissions of the whole system to each load according to the proportion of electricity consumption. Its calculation is simple, but it ignores the physical characteristics such as power grid structure, power flow distribution and line loss, resulting in that it is difficult to distinguish between "green electricity" and "gray electricity" users in carbon emission responsibility accounting, and it is unable to encourage users to guide the system to run in a low-carbon direction through electricity consumption behavior; the other is a carbon flow analysis method based on power flow tracking, which tracks the carbon emissions from the power generation side along the power grid branch to the load side, so as to determine the carbon emission responsibility of the load according to the actual "source" of the power consumption. The latter is more in line with the physical reality and is the mainstream direction of current research and application.
[0003] However, the existing carbon flow analysis method based on power flow tracking has a key defect in technology, which has not been fully and reasonably solved, that is, how to fairly allocate the carbon emissions corresponding to the transmission network loss (network loss). In the actual power system, in order to meet the load demand, the total power generated at the power generation side must be greater than the total power consumed at the load side, and the difference is the active power loss in the transmission network. This part of power generated to compensate for the network loss will also produce carbon emissions. The existing mainstream processing method usually adopts the merging or simple proportional allocation method, for example: the network loss carbon emissions are regarded as a whole, and based on the power flow tracking result, they are simply proportionally added to the electricity carbon emissions of each load. This method has obvious shortcomings: the generation of power grid loss is not only caused by the electricity consumption behavior of the load side, but also the result of the combined action of the power generation distribution of the power generation side, the power grid topology structure and the electricity consumption characteristics of the load side. In particular, the power generation side of long-distance and large-capacity power transmission, and the users at the end of the power grid who cause reverse or overload of power flow, have a significant impact on the network loss. It is neither fair nor possible to provide correct guidance signals for the optimal dispatching and layout of the power generation side to attribute the network loss carbon emissions to the load side. SUMMARY
[0004] In view of the deficiencies in the prior art, the purpose of the present application is to provide a carbon allocation method and system for electric carbon coordination to solve the problems in the background art.
[0005] The present application is implemented as follows: a carbon allocation method for electric carbon coordination, the method comprising the following steps: The target power grid is abstracted as a network model composed of nodes and branches, the nodes including power generation nodes and load nodes, active power injection data of each node is obtained, and node carbon flow intensity of each node is calculated according to direct carbon emission of the power generation node; Power flow calculation is performed based on the network model and the active power injection data, contribution proportions of each power generation node to power flow of each branch are determined, and conventional electricity carbon emission of each load node is calculated; Network loss of each branch is regarded as virtual load, total network loss carbon emission of each branch is calculated, for each branch, based on the joint action of the power generation side and the load side on the power flow of the branch, the total network loss carbon emission is proportionally traced back to the power generation node and the load node causing the network loss; For each power generation node, direct carbon emission of the node and network loss carbon emission responsibility of the node on all branches are summarized to obtain total carbon responsibility of the power generation side, and for each load node, conventional electricity carbon emission of the node and network loss carbon emission responsibility of the node on all branches are summarized to obtain total carbon responsibility of the load side.
[0006] As a further scheme of the present application, the step of calculating the node carbon flow intensity of each node according to the direct carbon emission of the power generation node specifically comprises: Direct carbon emission of each power generation node in the same calculation period is obtained, for a fossil energy unit, the direct carbon emission is calculated according to fuel consumption of the unit and a corresponding carbon emission factor, and for a renewable energy unit, the direct carbon emission is zero; Node carbon flow intensity of each node is calculated, for a node i with power generation injection, the node carbon flow intensity NCFIi is equal to the direct carbon emission of the node divided by total active power of the node, and for a node without power generation injection, the initial value of the corresponding node carbon flow intensity is zero.
[0007] As a further scheme of the present application, the step of performing power flow calculation based on the network model and the active power injection data, determining contribution proportions of each power generation node to power flow of each branch, and calculating conventional electricity carbon emission of each load node specifically comprises: Based on network model parameters and net injection power of each node, direct current power flow method is used to perform power flow calculation to obtain active power flow and direction of each branch; Power flow tracking method based on proportional sharing principle is used to perform reverse flow tracking on the whole network: starting from the active power flow of each branch, the reverse tracking is performed to the power generation node to determine contribution proportion αil of the injection power of each power generation node i to the active power flow Pl on each branch l, and for any line l, the sum of contribution proportions of all power generation nodes =1; Based on the carbon flow intensity NCFIi of the power generation node and the contribution ratio αil, the carbon flow intensity carried by the power flow through the branch l is calculated, the branch carbon flow intensity is distributed to the downstream load node through the downstream tracking, the carbon flow intensity of the electricity consumed by each load node j is calculated only considering the electricity transmission, and the conventional electricity carbon flow intensity LCFIj is obtained. The conventional electricity carbon emission of each load node is calculated, and the conventional electricity carbon emission of the load node is equal to LCFIj multiplied by the total active electricity of the node in the calculation period.
[0008] As a further scheme of the present application, the step of calculating the total network loss carbon emission of each branch specifically comprises: determining the carbon intensity CIFl of the power source for compensating the network loss ΔPl of the branch; calculating the total network loss carbon emission Elossl of each branch, Elossl representing the total network loss carbon emission of the branch l.
[0009] As a further scheme of the present application, the step of proportionally tracing back the total network loss carbon emission to the power generation nodes and the load nodes causing the network loss specifically comprises: determining the load-side contribution factor βjl through downstream tracking, βjl representing the power proportion of the active power flow on the branch l absorbed by the load node j, and for any line l, the sum of βjl of all load nodes =1; determining the responsibility Rijl of the total network loss carbon emission Elossl of the branch l to be traced back and borne by the power generation node i and the load node j together, Rijl=(αil×βjl) / )×Elossl, wherein αil represents the power generation-side contribution factor of the power generation node i to the line l; βjl represents the load-side contribution factor of the load node j to the line l; iterating through all power generation nodes i and all load nodes j to complete the total allocation of the total network loss carbon emission Elossl of the branch l.
[0010] As a further scheme of the present application, the total carbon responsibility TRi of the power generation node i is DEi+ , wherein DEi is the direct carbon emission of the power generation node i, is the sum of the traced-back network loss carbon emission responsibilities of the power generation node i on all branches l and all load nodes j; the total carbon responsibility TRj of the load node j is CEj+ , wherein CEj is the conventional electricity carbon emission of the load node j, is the sum of the traced-back network loss carbon emission responsibilities of the load node j on all branches l and all power generation nodes i.
[0011] Another object of the present application is to provide a carbon allocation system for electric-carbon synergy, comprising: A node carbon flow intensity module is configured to abstract a target power grid into a network model composed of nodes and branches, the nodes including power generation nodes and load nodes, obtain active power injection data of each node, and calculate node carbon flow intensity of each node according to direct carbon emissions of the power generation nodes. A conventional electricity carbon emission module is configured to perform power flow calculation based on the network model and the active power injection data, determine contribution proportions of each power generation node to branch power flow, and calculate conventional electricity carbon emissions of each load node. A network loss carbon emission calculation module is configured to regard network loss of each branch as a virtual load, calculate total network loss carbon emissions of each branch, and proportionally trace back the total network loss carbon emissions to power generation nodes and load nodes causing the network loss for each branch based on joint actions of the power generation side and the load side on the branch power flow. A total carbon responsibility determination module is configured to, for each power generation node, aggregate direct carbon emissions of the node and network loss carbon emission responsibilities of the node traced back on all branches to obtain total carbon responsibilities of the power generation side, and for each load node, aggregate conventional electricity carbon emissions of the node and network loss carbon emission responsibilities of the node traced back on all branches to obtain total carbon responsibilities of the load side.
[0012] Compared with the prior art, the present application has the following advantages: By proportionally tracing back the total network loss carbon emissions to power generation nodes and load nodes causing the network loss, the network loss carbon is simultaneously and proportionally distributed to power generation parties and electricity consumption parties based on responsibility allocation, so that responsibility attribution is accurately matched with physical processes, and the allocation result is more fair and reasonable. The present application has step-by-step progress from basic modeling, power flow calculation, conventional carbon flow analysis, to core network loss carbon identification, stripping and two-way allocation, and finally to comprehensive responsibility aggregation, and has rigorous logic. Based on power flow tracking, required data are obtained from conventional power grid energy management systems and power generation environmental protection data, and the present application has strong operability and is easy to integrate and apply on existing dispatching and trading platforms. BRIEF DESCRIPTION OF DRAWINGS
[0013] Figure 1 A flowchart of a carbon allocation method for electric-carbon synergy.
[0014] Figure 2 A flowchart of calculating node carbon flow intensity in a carbon allocation method for electric-carbon synergy.
[0015] Figure 3 A flowchart of performing power flow calculation in a carbon allocation method for electric-carbon synergy.
[0016] Figure 4This is a flowchart for calculating the total carbon emissions from network losses in each branch in a carbon allocation method for electric carbon synergy.
[0017] Figure 5 This is a flowchart illustrating the proportional allocation of total carbon emissions from grid losses in a carbon allocation method for electricity-carbon synergy.
[0018] Figure 6 This is a schematic diagram of a carbon sharing system for electro-carbon synergy. Detailed Implementation
[0019] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.
[0020] The specific implementation of the present invention will be described in detail below with reference to specific embodiments.
[0021] like Figure 1 As shown, this embodiment of the invention provides a carbon allocation method for electro-carbon synergy, the method comprising the following steps: S100 abstracts the target power grid into a network model consisting of nodes and branches. The nodes include generation nodes and load nodes. It obtains the active power injection data of each node and calculates the nodal carbon flow intensity of each node based on the direct carbon emissions of the generation nodes. S200, Based on the network model and active power injection data, perform power flow calculation to determine the contribution ratio of each power generation node to the power flow of each branch, and calculate the carbon emissions of conventional electricity consumption of each load node. S300, treat the network loss of each branch as a virtual load, and calculate the total carbon emissions of the network loss of each branch; for each branch, based on the combined effect of the power generation side and the load side on the power flow of the branch, the total carbon emissions of the network loss are proportionally allocated to the power generation node and load node that caused the network loss. S400: For each power generation node, the total carbon responsibility on the power generation side is obtained by summing the node's direct carbon emissions and the carbon emission responsibility for network losses traced to the node on all branches; for each load node, the total carbon responsibility on the load side is obtained by summing the node's regular electricity consumption carbon emissions and the carbon emission responsibility for network losses traced to the node on all branches.
[0022] In the embodiment of the present application, first, the target power grid is abstracted into a network model composed of nodes and branches (transmission lines), the nodes include power generation nodes and load nodes, the network model retains the physical connection relationship of the power grid, each bus corresponds to a node, and each line or transformer corresponds to a branch. This one-to-one mapping ensures that the basic physical characteristics (such as connectivity and electrical distance) of the power system are not destroyed, providing a basis for subsequent power flow tracking, path and contribution analysis. Then, the active power injection data of each node is obtained from the power grid energy management system, wherein the injection power of the power generation node is positive, and the injection power of the load node is negative. Then, the node carbon flow intensity of each node is calculated according to the direct carbon emission of the power generation node, which represents the carbon concentration of each degree of electricity from the source of the node, similar to the emission source intensity of a carbon pollutant. Then, the power flow is calculated according to the network model and the active power injection data to determine the contribution proportion of each power generation node to the power flow of each branch, and the conventional electricity carbon emission of each load node is calculated. The purpose of this step is to first establish a clear, physical power flow-based, conventional carbon emission flow map from the power generation side to the load side before considering the complex problem of network loss carbon emission, providing the necessary data basis and logical starting point for subsequent network loss carbon stripping and allocation. Then, the network loss of each branch is regarded as a virtual load, and the network loss carbon emission is stripped. The network loss ΔPl of each branch is directly obtained through the power flow calculation result, and the network loss is the difference between the active power flowing into the head of the branch and the active power flowing out of the tail. Then, the total network loss carbon emission of each branch is calculated. For each branch, the total network loss carbon emission is proportionally traced back to the power generation node and the load node that caused the network loss, thereby determining that the network loss is caused by the joint action of the supply and demand sides, so that the responsibility attribution is accurately matched with the physical process, and the allocation result is more fair and reasonable. Finally, for each power generation node, the direct carbon emission of the node and the network loss carbon emission responsibility of the node on all branches are summarized to obtain the total carbon responsibility of the power generation side; for each load node, the conventional electricity carbon emission of the node and the network loss carbon emission responsibility of the node on all branches are summarized to obtain the total carbon responsibility of the load side. The embodiment of the present application has a rigorous logic and strong operability, and is easy to integrate and apply on the existing dispatching and trading platform, from the basic modeling, power flow calculation, conventional carbon flow analysis, to the core network loss carbon identification, stripping and two-way allocation, and finally to the comprehensive responsibility summary.
[0023] As Figure 2 shown, as a preferred embodiment of the present application, the step of calculating the node carbon flow intensity of each node according to the direct carbon emission of the power generation node specifically includes: S101, obtaining the direct carbon emission of each power generation node in the same calculation period; S102, calculating the node carbon flow intensity of each node.
[0024] In the embodiment of the present application, the direct carbon emission of the fossil energy unit is calculated according to the fuel consumption of the unit and the corresponding carbon emission factor, and the direct carbon emission of the renewable energy unit is zero. Then the node carbon flow intensity of each node is calculated. For the node i with power injection, the node carbon flow intensity NCFIi of the node i is equal to the direct carbon emission of the node divided by the total active power of the node. For the node without power injection, the initial value of the corresponding node carbon flow intensity is zero.
[0025] As shown in Figure 3 As a preferred embodiment of the present application, the step of calculating the conventional electricity carbon emission of each load node based on the network model and the active power injection data to determine the contribution proportion of each power generation node to the branch flow, specifically includes: S201, based on the network model parameters and the net injection power of each node, the direct current flow method is used to perform power flow calculation to obtain the active power flow and direction of each branch; S202, the power flow tracking method based on the proportion sharing principle is used to perform reverse flow tracking on the whole network; S203, based on the carbon flow intensity NCFIi of the power generation node and the contribution proportion αil, the carbon flow intensity carried by the flow through the branch l is calculated, and through the forward flow tracking, the branch carbon flow intensity is distributed to the downstream load node, the carbon flow intensity of the electricity consumption of each load node j is calculated only considering the power transmission, and the conventional electricity carbon flow intensity LCFIj is obtained; S204, the conventional electricity carbon emission of each load node is calculated, and the conventional electricity carbon emission of the load node is equal to LCFIj multiplied by the total active power of the node in the calculation period.
[0026] In the embodiment of the present application, the network model parameters and the net injection power of each node are called, the network model parameters include the connection relationship and the physical electrical parameters in the power grid, and the net injection power can be directly obtained from the electric energy metering system. Then the direct current flow method is used to perform power flow calculation to obtain the active power flow and direction of each branch. Then the power flow tracking method based on the proportion sharing principle is used to perform reverse flow tracking on the whole network: starting from the branch flow, the reverse tracing is performed to the power generation node to determine the contribution proportion αil of the injection power of each power generation node i to the active power flow Pl on each branch l, and for any line l, the sum of the contribution proportions of all power generation nodes =1. Then, according to the carbon flow intensity NCFIi of the power generation node and the contribution ratio aii, the carbon flow intensity carried by the power flow flowing through the branch l is calculated, and further, through the downstream tracking, the branch carbon flow intensity is distributed to the downstream load nodes, and the carbon flow intensity of the power consumed by each load node j only considering the power transmission and not specially considering the network loss allocation, i.e. the conventional power carbon flow intensity LCFIj, is calculated. Finally, the conventional power carbon emission of the load node is determined, which is equal to LCFIj multiplied by the total active power consumption of the node in the calculation period.
[0027] As shown in Figure 4 , as a preferred embodiment of the present application, the step of calculating the total network loss carbon emission of each branch specifically comprises: S301, determining the carbon intensity CIFl of the power source for compensating the network loss ΔPl of the branch; S302, calculating the total network loss carbon emission Elossl of each branch, wherein Elossl represents the total network loss carbon emission of the branch l.
[0028] In the embodiment of the present application, the carbon intensity CIFl for compensating the network loss of the branch is first determined, and the carbon intensity CIFl is obtained by weighting and averaging the node carbon flow intensity NCFIi of the related power generation node according to the contribution ratio of the power generation node to the branch power flow. Finally, the total network loss carbon emission of each branch is calculated based on ΔPl and CIFl.
[0029] As shown in Figure 5 , as a preferred embodiment of the present application, the step of proportionally tracing back the total network loss carbon emission to the power generation nodes and load nodes causing the network loss specifically comprises: S303, determining the load-side contribution factor βjl through downstream tracking; S304, determining the responsibility amount Rijl that the total network loss carbon emission Elossl of the branch l should be traced back and allocated to the power generation node i and the load node j to jointly bear; S305, traversing all power generation nodes i and all load nodes j to complete the full allocation of the total network loss carbon emission Elossl of the branch l.
[0030] In the embodiment of the present application, for any branch l, in addition to the power generation-side contribution factor obtained through the upstream tracking, the load-side contribution factor βjl also needs to be determined through the downstream tracking, wherein βjl represents the power proportion of the active power flow on the branch l absorbed by the load node j, and for any line l, the sum of βjl of all load nodes is = 1. Then the total loss carbon emission Elossl of branch l should be traced back to the responsibility Rijl shared by power generation node i and load node j, Rijl = (ailxlxl) / )xlElossl, where the numerator (ailxlxl) represents the degree of joint action of power generation node i and load node j on the loss of the branch, and the denominator ) is the sum of the product of all power generation nodes and all load nodes, for realizing normalized allocation; ail represents the power generation side contribution factor of power generation node i to line l; xl represents the load side contribution factor of load node j to line l. Finally, all power generation nodes i and all load nodes j are traversed to complete the allocation of the total loss carbon emission Elossl of branch l.
[0031] As a preferred embodiment of the present application, the total carbon responsibility TRi of power generation node i on the power generation side = DEi + , where DEi is the direct carbon emission of power generation node i, is the sum of the loss carbon emission responsibility of power generation node i on all branches l and all load nodes j; the total carbon responsibility TRj of load node j on the load side = CEj + , where CEj is the regular electricity carbon emission of load node j, is the sum of the loss carbon emission responsibility of load node j on all branches l and all power generation nodes i.
[0032] As shown in Figure 6 , the present application also provides a carbon allocation system for electric carbon coordination, which comprises: A node carbon flow intensity module 100 is configured to abstract a target power grid into a network model composed of nodes and branches, the nodes including power generation nodes and load nodes, obtain active power injection data of each node, and calculate node carbon flow intensity of each node according to direct carbon emission of power generation nodes; A regular electricity carbon emission module 200 is configured to perform power flow calculation based on the network model and the active power injection data, determine contribution proportion of each power generation node to power flow of each branch, and calculate regular electricity carbon emission of each load node; A loss carbon emission calculation module 300 is configured to regard loss of each branch as virtual load, calculate total loss carbon emission of each branch, and trace back and allocate the total loss carbon emission to power generation nodes and load nodes causing the loss according to joint action of the power generation side and the load side on the power flow of each branch. The total carbon responsibility determination module 400 is configured to: for each power generation node, aggregate the direct carbon emission of the node and the network loss carbon emission responsibility of the node traced on all branches to obtain total carbon responsibility on the power generation side; and for each load node, aggregate the regular electricity consumption carbon emission of the node and the network loss carbon emission responsibility of the node traced on all branches to obtain total carbon responsibility on the load side.
[0033] As a preferred embodiment of the present application, the regular electricity consumption carbon emission module 200 comprises: The active power flow determination unit is configured to perform power flow calculation by using the DC power flow method based on the network model parameters and the net injection power of each node to obtain the active power flow and direction of each branch; The full-network reverse flow tracing unit is configured to perform reverse flow tracing on the full network by using a power flow tracing method based on the proportional sharing principle: starting from the power flow of each branch, the reverse flow tracing is performed to the power generation node to determine the contribution proportion αil of the injection power of each power generation node i to the active power flow Pl of each branch l, and the sum of the contribution proportions of all power generation nodes for any line l is = 1; The regular carbon flow intensity unit is configured to calculate the carbon flow intensity carried by the power flow of each branch l based on the carbon flow intensity NCFIi of the power generation node and the contribution proportion αil, and distribute the branch carbon flow intensity to the downstream load node by forward flow tracing to calculate the carbon flow intensity of the electricity consumption of each load node j only considering the electricity transmission to obtain the regular electricity consumption carbon flow intensity LCFIj. The regular carbon emission unit is configured to calculate the regular electricity consumption carbon emission of each load node, and the regular electricity consumption carbon emission of the load node is equal to LCFIj multiplied by the total active electricity consumption of the node in the calculation period.
[0034] As a preferred embodiment of the present application, the network loss carbon emission calculation module 300 comprises: The compensation carbon intensity unit is configured to determine the carbon intensity CIFl of the power source for compensating the network loss ΔPl of the branch. The network loss carbon emission total amount unit is configured to calculate the network loss carbon emission total amount Elossl = ΔPl × CIFl of each branch, and Elossl represents the network loss carbon emission total amount of the branch l.
[0035] As a preferred embodiment of the present application, the network loss carbon emission calculation module 300 further comprises: The load-side contribution factor unit is configured to determine the load-side contribution factor βjl by forward flow tracing, and βjl represents the power proportion of the active power flow on the branch l absorbed by the load node j, and the sum of βjl of all load nodes for any line l is = 1; A common responsibility quantity unit is used to determine the total network loss carbon emission Elossl of branch l should be allocated to the common responsibility Rijl of generation node i and load node j, Rijl=(αil×βjl) / )×Elossl, where αil represents the generation node i contribution factor on the generation side of line l; βjl represents the load node j contribution factor on the load side of line l; A carbon emission allocation unit is used to traverse all generation nodes i and all load nodes j to complete the total allocation of the total network loss carbon emission Elossl of branch l.
[0036] The above only describes the preferred embodiments of the present application in detail, and does not limit the present application. Any modification, equivalent replacement and improvement within the spirit and principle of the present application should be included in the protection scope of the present application.
[0037] It should be understood that although each step in the flowchart of each embodiment of the present application is displayed in sequence according to the arrow, these steps are not necessarily executed in sequence according to the arrow. Unless explicitly stated herein, the execution of these steps has no strict sequence limitation, and these steps can be executed in other sequences. Moreover, at least a part of the steps in each embodiment can include multiple sub-steps or multiple stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution sequence of these sub-steps or stages is not necessarily sequential, but can be executed in rotation or alternation with at least a part of other steps or sub-steps or stages of other steps.
[0038] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The program can be stored in a non-volatile computer readable storage medium, and when the program is executed, the processes of the above-mentioned embodiments of the methods can be included. Any reference to memory, storage, databases, or other media in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration but not limitation, RAM is available in many forms such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), Rambus DRAM (RDRAM), direct Rambus dynamic RAM (DRDRAM), and Rambus dynamic RAM (RDRAM), etc.
[0039] Other embodiments of the present disclosure will be apparent to those skilled in the art with the disclosure herein. The present application is intended to cover any variations, uses, or adaptations of the present disclosure, including those that are deemed to be equivalents of the generic principles of the present disclosure and including those that are within the known and customary practice of the art. The specification and examples are to be considered exemplary only, with the true scope and spirit of the present disclosure being indicated by the claims.
Claims
1. A method for carbon apportionment for electric carbon synergy, characterized in that, The method comprises the following steps: The target power grid is abstracted into a network model composed of nodes and branches, the nodes include power generation nodes and load nodes, active power injection data of each node is obtained, and node carbon flow intensity of each node is calculated according to direct carbon emissions of the power generation nodes; Based on the network model and the active power injection data, power flow calculation is performed to determine the contribution proportion of each power generation node to the power flow of each branch, and the conventional electricity carbon emission of each load node is calculated; The network loss of each branch is regarded as a virtual load, the total network loss carbon emission of each branch is calculated, for each branch, based on the joint action of the power generation side and the load side on the branch power flow, the total network loss carbon emission is proportionally traced back to the power generation nodes and the load nodes causing the network loss; For each power generation node, the direct carbon emission of the node and the network loss carbon emission responsibility of the node traced back on all branches are summarized to obtain the total carbon responsibility of the power generation side, and for each load node, the conventional electricity carbon emission of the node and the network loss carbon emission responsibility of the node traced back on all branches are summarized to obtain the total carbon responsibility of the load side.
2. The carbon partitioning method for electric-carbon synergy of claim 1, wherein, The step of calculating the node carbon flow intensity of each node according to the direct carbon emission of the power generation node specifically comprises: The direct carbon emission of each power generation node in the same calculation period is obtained, for a fossil energy unit, the direct carbon emission is calculated according to the fuel consumption of the unit and the corresponding carbon emission factor, and for a renewable energy unit, the direct carbon emission is zero; The node carbon flow intensity of each node is calculated, for a node i with power injection, the node carbon flow intensity NCFIi is equal to the direct carbon emission of the node divided by the total active power output of the node, and for a node without power injection, the initial value of the corresponding node carbon flow intensity is zero.
3. The carbon partitioning method for electric-carbon synergy of claim 1, wherein, The step of performing power flow calculation based on the network model and the active power injection data to determine the contribution proportion of each power generation node to the power flow of each branch and calculate the conventional electricity carbon emission of each load node specifically comprises: Based on the network model parameters and the net injection power of each node, the direct current power flow method is used to perform power flow calculation to obtain the active power flow and direction of each branch; The power flow tracing method based on the proportional sharing principle is adopted to trace the reverse flow of the whole network: starting from the branch power flow, the reverse tracing is performed to the power generation node to determine the contribution proportion αil of the injection power of each power generation node i to the active power flow Pl on each branch l, and the sum of the contribution proportions of all power generation nodes for any line l =1. Based on the carbon flow intensity NCFIi of the power generation node and the contribution proportion αil, the carbon flow intensity carried by the power flow through the branch l is calculated, the branch carbon flow intensity is distributed to the downstream load nodes through downstream tracking, the carbon flow intensity of the electricity consumption of each load node j is calculated only considering the electricity transmission, the conventional electricity carbon flow intensity LCFIj is obtained; The conventional electricity carbon emission of each load node is calculated, and the conventional electricity carbon emission of the load node is equal to LCFIj multiplied by the total active electricity consumption of the node in the calculation period.
4. The carbon allocation method for electric-carbon synergy of claim 1, wherein, The step of calculating the total network loss carbon emission of each branch specifically comprises: The carbon intensity CIFl of the power source for compensating the branch network loss ΔPl is determined; The total network loss carbon emission Elossl of each branch is calculated, Elossl represents the total network loss carbon emission of the branch l.
5. The carbon allocation method for electric-carbon synergy of claim 3, wherein, The step of proportionally tracing back and allocating the total network loss carbon emission to the power generation nodes and the load nodes causing the network loss specifically comprises: The load-side contribution factor βjl is determined by forward tracing, which represents the proportion of active power flow on branch l absorbed by load node j, and the sum of βjl for all load nodes is equal to 1 for any line l. =1; The total network loss carbon emission Elossl of the branch l should be traced back to the responsibility Rijl shared by the power generation node i and the load node j, Rijl=(αil×βjl) / )×Elossl, wherein αil represents the power generation side contribution factor of the power generation node i to the line l; βjl represents the load side contribution factor of the load node j to the line l; The total line loss carbon emission Elossl of each branch is calculated by traversing all power generation nodes i and all load nodes j.
6. The carbon allocation method for electric-carbon synergy of claim 5, wherein, Total carbon responsibility on generation side TRi= DEi+ ∑ DEil where DEi is the direct carbon emission of generation node i, is the sum of the network loss carbon emission responsibility of generation node i on all branches l, traced back with all load nodes j; Total carbon responsibility on load side TRj= CEj+ ∑ CEil where CEj is the regular electricity use carbon emission of load node j, is the sum of the network loss carbon emission responsibility of load node j on all branches l, traced back with all generation nodes i.
7. A carbon apportionment system for electric carbon synergy, characterized by, The system comprises: a node carbon flow intensity module configured to abstract a target power grid into a network model composed of nodes and branches, the nodes including power generation nodes and load nodes, obtain active power injection data of each node, and calculate node carbon flow intensity of each node according to direct carbon emission of the power generation nodes; a conventional electricity carbon emission module configured to perform power flow calculation based on the network model and the active power injection data, determine contribution proportions of each power generation node to power flow of each branch, and calculate conventional electricity carbon emission of each load node; a line loss carbon emission calculation module configured to regard line loss of each branch as virtual load, calculate total line loss carbon emission of each branch, and, for each branch, proportionally trace back the total line loss carbon emission to power generation nodes and load nodes causing the line loss based on joint action of the power generation side and the load side on the power flow of the branch; a total carbon responsibility determination module configured to, for each power generation node, aggregate direct carbon emission of the node and line loss carbon emission responsibility of the node traced back on all branches to obtain total carbon responsibility of the power generation side, and, for each load node, aggregate conventional electricity carbon emission of the node and line loss carbon emission responsibility of the node traced back on all branches to obtain total carbon responsibility of the load side.
8. The carbon allocation system for electric carbon synergy of claim 7, wherein, The conventional electricity carbon emission module comprises: an active power flow determination unit configured to perform power flow calculation by using a direct current power flow method based on network model parameters and net injection power of each node to obtain active power flow and direction of each branch; A whole-network reverse flow tracing unit is configured to trace reverse flows of the whole network by using a flow tracing method based on a proportional sharing principle: starting from branch flow, tracing back to power generation nodes to determine a contribution proportion αil of an injection power of each power generation node i to an active power flow Pl on each branch l, and a sum of the contribution proportions of all power generation nodes is equal to 1 for any line l. =1; a conventional carbon flow intensity unit configured to calculate carbon flow intensity carried by the power flow flowing through the branch l based on carbon flow intensity NCFIi of the power generation node and the contribution proportion αil, distribute branch carbon flow intensity to downstream load nodes by downstream tracing, calculate carbon flow intensity of each load node j consumed by electricity consumed by the load node only considering electricity transmission to obtain conventional electricity carbon flow intensity LCFIj, and obtain conventional electricity carbon emission of each load node. The line loss carbon emission calculation module comprises:
9. The carbon allocation system for electric carbon synergy of claim 7, wherein, a compensation carbon intensity unit configured to determine carbon intensity CIFl of a power source used to compensate for line loss ΔPl of the branch; a total line loss carbon emission unit configured to calculate total line loss carbon emission Elossl of each branch, Elossl representing total line loss carbon emission of the branch l. The line loss carbon emission calculation module further comprises:
10. The carbon allocation system for electric carbon synergy of claim 8, wherein, a carbon emission allocation unit configured to traverse all power generation nodes i and all load nodes j to complete allocation of total line loss carbon emission Elossl of each branch. a load-side contribution factor unit for determining load-side contribution factors βjl by forward tracing, βjl representing the proportion of active power flow on branch l absorbed by load node j, and for any line l, the sum of βjl for all load nodes = 1; A common responsibility quantity unit is used to determine that the total network loss carbon emission quantity Elossl of the branch l should be traced back to the responsibility quantity Rijl jointly borne by the power generation node i and the load node j, Rijl=(αil×βjl) / )×Elossl, wherein αil represents a power generation side contribution factor of the power generation node i to the line l; and βjl represents a load side contribution factor of the load node j to the line l.