Method and system for measuring and calculating carbon emission reduction of extra-high voltage alternating current project
By dividing the operation scenarios of UHV AC projects and combining them with time-series production simulation models and actual data, and by adopting a carbon reduction benefit allocation method, the problem of inaccurate carbon emission reduction of UHV AC projects has been solved, realizing scientific carbon emission reduction measurement and supporting the low-carbon development of the power industry.
Patent Information
- Application Number
- CN202610113844.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-01-28
- Publication Date
- 2026-03-06
AI Technical Summary
Existing technologies make it difficult to accurately calculate the carbon emission reduction of ultra-high voltage AC projects in the low-carbon transformation of the power industry, and cannot conduct quantitative assessments and predictions, thus affecting the low-carbon development plan of the power industry.
By dividing the operation scenarios of ultra-high voltage AC projects in the power system, and combining actual operation data of the projects with time-series production simulation models, the carbon emission reduction under each operation scenario is calculated, and the carbon reduction benefit allocation method is used for allocation calculation to achieve scientific measurement of carbon emission reduction.
It enables the scientific calculation of carbon emission reductions in ultra-high voltage AC power transmission projects, making the calculation results more objective and reliable, and supporting the low-carbon development plan of the power industry.
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Figure CN121615949A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of power transmission and transformation technology, and in particular to a method and system for calculating carbon emission reduction in ultra-high voltage AC power transmission projects. Background Technology
[0002] Against the backdrop of new power system construction, energy resources and load demand are inversely distributed across regions in my country, necessitating large-scale inter-regional power transmission to meet these demands. Ultra-high voltage (UHV) power grids have emerged as the optimal solution for large-scale inter-regional power transmission, demonstrating significant advantages in optimizing grid structure, promoting the large-scale optimal allocation of clean energy resources, enhancing clean energy absorption capacity, and driving low-carbon development in load center regions. Furthermore, the low-carbon benefits of UHV AC projects are gradually becoming apparent, and deeply exploring their carbon reduction potential is of great significance for the low-carbon development of the power industry.
[0003] However, current carbon emission measurement studies mostly take a macro perspective from the power system or industry, analyzing the overall carbon reduction potential, with little focus on power grid projects, especially ultra-high voltage AC projects. There is a lack of specific research on their role in the low-carbon transformation of the power industry, making it impossible to accurately calculate the actual carbon emission reductions generated by ultra-high voltage AC projects during operation. It is also difficult to quantitatively assess and predict the potential carbon emission reductions that ultra-high voltage AC projects may bring in the future, which is not conducive to the low-carbon development planning of the power industry. Summary of the Invention
[0004] This invention provides a method and system for calculating carbon emission reductions in ultra-high voltage AC power transmission projects. The method divides the operating scenarios based on the role of the ultra-high voltage AC power transmission project in the power system, and calculates carbon emission reductions by combining actual operating data and time-series production simulation models. This method can quantify the carbon emission reductions of ultra-high voltage AC power transmission projects under different operating periods and functional roles, solving the problem of inaccurate calculation of carbon emission reductions during the operation phase of ultra-high voltage AC power transmission projects.
[0005] To achieve the above objectives, embodiments of the present invention provide a method for calculating carbon emission reduction in ultra-high voltage AC power transmission projects, including: Based on the role of the UHV AC project in the power system, the operation scenarios of the UHV AC project are divided, and basic data under each operation scenario are obtained. Based on the aforementioned basic data, a time-series production simulation model for each operating scenario is constructed to determine the actual operating parameters of the UHV AC project under each operating scenario. The regional carbon emission reduction of the UHV AC project under each operating scenario is calculated based on the actual operating parameters, power generation coal consumption, and coal emission factors. The carbon emission reduction in the region was calculated by using a carbon reduction benefit allocation method, and the carbon emission reduction of the UHV AC project under each operating scenario was obtained.
[0006] As an improvement to the above scheme, if the basic data includes operating scheme parameters and power system operating data, The process of dividing the UHV AC project into operational scenarios based on its role in the power system and obtaining basic data for each operational scenario includes: Based on the role of UHV AC projects in the power system, the operation phases of the UHV AC projects are divided into transmission scenarios and grid interconnection scenarios, and operation scheme parameters are set for each operation scenario. Based on the actual operating conditions of the power system under each operating scenario, determine the power system operating data for each operating scenario.
[0007] As an improvement to the above scheme, the step of constructing a time-series production simulation model for each operating scenario based on the basic data to determine the actual operating parameters of the UHV AC project under each operating scenario includes: Based on the aforementioned basic data, the objective function and constraints for each operating scenario are determined, resulting in a time-series production simulation model for each operating scenario. The time-series production simulation model is iteratively solved to obtain the actual operating parameters of the UHV AC project under each operating scenario.
[0008] As an improvement to the above scheme, the calculation of the regional carbon emission reduction of the UHV AC project under each operating scenario based on the actual operating parameters, power generation coal consumption, and coal emission factor includes: The proportion of clean electricity in the transmission capacity of the UHV AC project under each operating scenario is calculated based on the actual operating parameters. The regional carbon emission reduction of the UHV AC project under each operating scenario is calculated based on the proportion of clean electricity, coal consumption for power generation, and coal emission factor.
[0009] As an improvement to the above scheme, the carbon emission reduction of the region is allocated and calculated using a carbon reduction benefit allocation method to obtain the carbon emission reduction of the UHV AC project under each operating scenario, including: Based on the operational logic of the UHV AC project under each operational scenario, the responsible party for allocating costs under each operational scenario is determined. The carbon emission reduction of the region is calculated by allocating the carbon emission reduction of the UHV AC project under each operating scenario using the Shapley value method based on the allocated entity.
[0010] To achieve the above objectives, embodiments of the present invention provide a carbon emission reduction calculation system for ultra-high voltage AC engineering projects, comprising: The operation scenario division module is used to divide the UHV AC project into operation scenarios based on its role in the power system and to obtain basic data for each operation scenario. The operating parameter acquisition module is used to construct a time-series production simulation model for each operating scenario based on the basic data, so as to determine the actual operating parameters of the UHV AC project under each operating scenario. The carbon emission reduction calculation module is used to calculate the regional carbon emission reduction of the UHV AC project under each operating scenario based on the actual operating parameters, power generation coal consumption and coal emission factor. The carbon emission reduction allocation module is used to calculate the carbon emission reduction of the region by using the carbon reduction benefit allocation method, so as to obtain the carbon emission reduction of the UHV AC project under each operating scenario.
[0011] As an improvement to the above scheme, if the basic data includes operating scheme parameters and power system operating data, The scenario division module is used for: Based on the role of UHV AC projects in the power system, the operation phases of the UHV AC projects are divided into transmission scenarios and grid interconnection scenarios, and operation scheme parameters are set for each operation scenario. Based on the actual operating conditions of the power system under each operating scenario, determine the power system operating data for each operating scenario.
[0012] As an improvement to the above solution, the operating parameter acquisition module is used for: Based on the aforementioned basic data, the objective function and constraints for each operating scenario are determined, resulting in a time-series production simulation model for each operating scenario. The time-series production simulation model is iteratively solved to obtain the actual operating parameters of the UHV AC project under each operating scenario.
[0013] As an improvement to the above solution, the carbon emission reduction calculation module is used for: The proportion of clean electricity in the transmission capacity of the UHV AC project under each operating scenario is calculated based on the actual operating parameters. The regional carbon emission reduction of the UHV AC project under each operating scenario is calculated based on the proportion of clean electricity, coal consumption for power generation, and coal emission factor.
[0014] As an improvement to the above solution, the carbon emission reduction allocation module is used for: Based on the operational logic of the UHV AC project under each operational scenario, the responsible party for allocating costs under each operational scenario is determined. The carbon emission reduction of the region is calculated by allocating the carbon emission reduction of the UHV AC project under each operating scenario using the Shapley value method based on the allocated entity.
[0015] Compared with existing technologies, the present invention discloses a method and system for calculating carbon emission reductions of ultra-high voltage (UHV) AC power projects. This method divides the UHV AC power project into operational scenarios based on its role in the power system and obtains basic data for each scenario. Based on this basic data, a time-series production simulation model is constructed for each operational scenario to determine the actual operating parameters of the UHV AC power project under each scenario. The regional carbon emission reduction of the UHV AC power project under each operational scenario is calculated based on the actual operating parameters, power generation coal consumption, and coal emission factors. Finally, a carbon reduction benefit allocation method is used to allocate the regional carbon emission reduction, resulting in the carbon emission reduction for each operational scenario. This method enables the division of operational scenarios based on the role of the UHV AC power project in the power system, and combines actual operating data and time-series production simulation models to calculate carbon emission reductions. This achieves a scientific calculation of carbon emission reductions for UHV AC power projects, making the calculation results more objective and reliable, and solving the problem of inaccurate calculation of carbon emission reductions during the operation phase of UHV AC power projects. Attached Figure Description
[0016] Figure 1 This is a flowchart illustrating a method for calculating carbon emission reduction in an ultra-high voltage AC power transmission project, as provided in an embodiment of the present invention. Figure 2 This is a schematic diagram of the structure of a carbon emission reduction calculation system for an ultra-high voltage AC power transmission project provided in an embodiment of the present invention. Detailed Implementation
[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0018] It should be noted that the terms "comprising" and "specific" in this invention, and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those steps or units that are explicitly listed, but may include other steps or units that are not explicitly listed or that are inherent to such process, method, product, or device.
[0019] Please see Figure 1 , Figure 1 This is a flowchart illustrating a method for calculating carbon emission reduction in an ultra-high voltage AC power transmission project, provided by an embodiment of the present invention. The method includes: S1. Based on the role of the UHV AC project in the power system, the operation scenarios of the UHV AC project are divided, and the basic data under each operation scenario are obtained. S2, Construct a time-series production simulation model for each operating scenario based on the aforementioned basic data, in order to determine the actual operating parameters of the UHV AC project under each operating scenario; S3, calculate the regional carbon emission reduction of the UHV AC project under each operating scenario based on the actual operating parameters, power generation coal consumption and coal emission factor; S4. The carbon emission reduction in the region is calculated by using the carbon reduction benefit allocation method to obtain the carbon emission reduction of the UHV AC project under each operating scenario.
[0020] For example, the carbon emission reduction calculation method for ultra-high voltage AC projects described in this embodiment of the invention is implemented by a calculation server, which is capable of information interaction with the target user. The calculation server divides the ultra-high voltage AC project into operating scenarios based on its role in the power system and obtains basic data for each operating scenario. The basic data includes operating scheme parameters and power system operating data (operating scheme parameters include, under the transmission scenario, the design transmission capacity of the ultra-high voltage AC project, the proportion of clean energy access, the current output proportion and replacement priority of local fossil fuel power sources in the load area, and under the grid scenario, the interconnection topology between the ultra-high voltage AC grid and the DC project, the maximum transmission power of node sections, the adjustment range of inter-provincial power exchange, and the original proportion of clean energy transmission in the DC project; power system operating data...). The data includes, but is not limited to, the installed capacity of new energy sources, the installed capacity of thermal power units, and interconnection lines. Based on the objective function and constraints of the basic data, a time-series production simulation model is obtained for each operating scenario to determine the actual operating parameters of the UHV AC project under each operating scenario (actual operating parameters include, but are not limited to, power flow distribution, transmitted power, and the proportion of clean energy). Based on the actual operating parameters, power generation coal consumption, and coal emission factors, the regional carbon emission reduction of the UHV AC project under each operating scenario is calculated. The carbon emission reduction benefit allocation method is used to allocate the regional carbon emission reduction, resulting in the carbon emission reduction of the UHV AC project under each operating scenario. This embodiment of the invention divides operating scenarios based on the role of the UHV AC project in the power system, combines actual operating data of the project with the time-series production simulation model to calculate carbon emission reductions, achieving a scientific calculation of the carbon emission reduction of the UHV AC project, making the calculation results more objective and reliable, and solving the problem of inaccurate calculation of carbon emission reductions during the operation phase of the UHV AC project.
[0021] Specifically, if the basic data includes operating scheme parameters and power system operating data, Step S1 includes: S11, Based on the role of the UHV AC project in the power system, the operation phase of the UHV AC project is divided into transmission scenario and grid interconnection scenario, and operation scheme parameters are set for each operation scenario; S12, determine the power system operation data for each operation scenario based on the actual operating status of the power system under each operation scenario.
[0022] It is worth noting that, in the context of power transmission, ultra-high-voltage (UHV) AC projects can leverage their technological advantages of multi-point aggregation and large-scale distribution to transmit clean energy, thereby improving the cleanliness of electricity consumption in load areas. The integration of UHV AC projects will lead to a partial replacement of local fossil fuel power supply with UHV power in the load areas. Since renewable energy accounts for a significant proportion of the transmitted electricity through UHV AC channels, their integration will improve the cleanliness of electricity consumption in load areas, enabling renewable energy to replace thermal power generation in those areas.
[0023] In a grid interconnection scenario, constructing a robust UHV AC grid can effectively alleviate the power transmission burden of UHV DC, enhance inter-provincial power exchange capacity, increase the power transmission capacity of DC projects across regions and provinces, and promote the consumption of renewable energy. On the one hand, it avoids power flow crossing and maintains the stability of voltage and power at the feed-in end. On the other hand, the construction of UHV AC projects will help promote the de-looping and segmented operation of densely populated regional power grids, enhance inter-provincial power exchange, and maintain stable system operation.
[0024] Specifically, step S2 includes: S21, Based on the basic data, determine the objective function and constraints for each operating scenario to obtain the time-series production simulation model for each operating scenario; S22, iteratively solve the actual operating parameters of the UHV AC project under each operating scenario by using the time-series production simulation model.
[0025] For example, taking a power transmission scenario, based on the aforementioned basic data and on the premise of grid security and stability, the objective function is to maximize the absorption of new energy sources. The time-series production simulation aims to maximize the output of new energy sources during the operating time. Therefore, the expression for the objective function is: , In the formula, Represents the total number of optimization periods; Represents wind power output; Represents photovoltaic power generation output; It represents the output of other clean energy units.
[0026] Define the constraints, including power balance constraints, spinning reserve constraints, thermal power unit output constraints, new energy unit output constraints, and cross-sectional constraints.
[0027] Power balance is a crucial calculation in power grid planning and dispatching, aiming to determine how the power output of various types of generating units in the power system meets the overall system load requirements. The power balance constraints are: , In the formula, The number of conventional power supply types, Indicates the number of energy-efficient power plants; Indicates the first Year Unit power; Indicates the first Year Power generation utilization hours of this type of unit; Indicates the first Year Power consumption loss rate of similar generating units. Because energy-efficient power plants are on the demand side, their power savings are the final power consumption, so their losses are not considered. surface Show the first Forecasted annual electricity consumption.
[0028] The rotational spare constraint is: , In the formula, This represents the number of conventional units in the system; For the unit The upper limit of effective output; Reserved for the system's forward rotation; This is a binary variable representing the operating status of the unit at a given time. Hours Time crew It is in operation. Hours Time crew It is currently in a shutdown state.
[0029] The output constraints of thermal power units are: , In the formula, Representative unit The minimum technical output.
[0030] The output constraints of new energy units are: , In the formula, and Wind power and solar power respectively The maximum output of the time theory.
[0031] The cross-sectional constraints are: , In the formula, For nodes Line in cross section The transmission power; For nodes Maximum transmission power of the cross section; This represents the total number of cross-sections. When the power exceeds the limit, the power output of the power supply is adjusted until the cross-section power constraint is met.
[0032] It is worth noting that the objective function in the grid-connected scenario still focuses on maximizing renewable energy output, but the clean energy transmitted by DC projects needs to be included in the optimization scope. Adjustment logic: Renewable energy consumption in the grid-connected scenario includes not only local renewable energy but also renewable energy transmitted by DC projects. The objective function needs to reflect the supporting role of the AC grid in the consumption of DC renewable energy. The grid-connected scenario needs to supplement the constraints of the transmission scenario with DC power dissipation constraints and adjust the parameter range of the cross-sectional constraints. Constraint logic: Ensure that the UHV AC grid can effectively dissipate DC power, so that the transmission power of DC projects does not exceed the original upper limit and the increase in AC support, and avoid power flow crossing. Add cross-sectional parameters for the interconnection nodes between the UHV AC grid and DC projects to adjust the cross-sectional constraint parameters; these parameters are derived from the grid topology data.
[0033] Specifically, step S3 includes: S31, Calculate the proportion of clean electricity in the transmission power of the UHV AC project under each operating scenario based on the actual operating parameters; S32, calculate the regional carbon emission reduction of the UHV AC project under each operating scenario based on the clean electricity ratio, power generation coal consumption and coal emission factor.
[0034] Understandably, the carbon emission reduction calculation approach for UHV AC projects during the operation phase is as follows: First, simulate the power flow distribution at both the sending and receiving ends at different times to study the changing trend of the proportion of power flow in the transmission and receiving sections; second, conduct power balance analysis to assess the region's annual power transmission capacity and calculate the clean power transmitted by the project in conjunction with the region's power supply structure; third, calculate the region's carbon emission reduction effectiveness by combining power generation coal consumption data and carbon emission factors. For UHV AC projects aimed at improving system transmission capacity, the carbon emission reduction calculation boundary is the increase in non-fossil energy consumption in the load area brought about by the UHV AC project's connection. After the UHV AC project is connected, it can effectively replace the output of some high-energy-consuming generator units in the load area, reducing carbon emissions in the load area. For UHV AC projects aimed at enhancing grid interconnection, the carbon emission reduction calculation boundary is the increase in transmission capacity of other DC projects brought about by the UHV AC project's connection to the system.
[0035] For example, taking a power transmission scenario, the difference between the proportion of non-fossil energy power in the transmission volume of an ultra-high-voltage (UHV) AC project and the proportion of non-fossil energy power in the power system of the load area is calculated based on the actual operating parameters in a given year. Combined with the transmission volume of the UHV AC project in that year, the increase in non-fossil energy power consumption in the load area brought about by the UHV connection can be obtained. This increase represents the replaceable fossil energy power generation in the load area. In other words, the UHV AC project achieves large-scale optimal allocation of clean energy resources, effectively reducing coal-fired power generation in the load area. Further combining the coal consumption of various power sources and the emission factor of coal, the regional carbon emission reduction of the UHV AC project can be calculated, as shown in the following formula: , In the formula, Representing the Carbon reduction in areas with ultra-high voltage AC power transmission projects per year and Representing the first The proportion of clean electricity in the annual ultra-high voltage transmission power and the proportion of clean power in the destination area. Representing the The annual electricity transmitted by ultra-high voltage projects.
[0036] Since the goal of the UHV AC power transmission project is to enhance the region's clean energy absorption capacity and promote the optimal allocation of clean energy resources on a larger scale, it is assumed that all local power generation replaced by the UHV AC power project will come from coal-fired power plants. The coal consumption of coal-fired power units is selected as... and coal emission factors Calculate the carbon reduction in the load area.
[0037] In a grid interconnection scenario, UHV AC projects alleviate the power burden of UHV DC transmission by constructing a robust AC grid, enhancing inter-provincial power exchange capabilities, and avoiding power flow crossing. In this scenario, UHV AC projects do not connect to supporting power sources; for the load area, the incremental clean power is the clean energy generated by DC projects connected to the UHV AC grid. Assuming the replacement of load-side power generation, and considering power generation coal consumption and coal emission factors, the regional carbon emission reduction of UHV AC projects can be calculated. , In the formula, Representing the Annual load carbon reduction To account for the increased power transmission from UHVDC projects outside the region received by a certain regional power grid after the connection of UHVAC projects, To represent the first The proportion of clean electricity in the annual electricity transmitted by ultra-high voltage direct current (UHVDC) projects.
[0038] Specifically, step S4 includes: S41, Based on the operational logic of the UHV AC project under each operational scenario, determine the main body responsible for allocating costs under each operational scenario; S42, The carbon emission reduction of the region is allocated and calculated using the Shapley value method according to the allocation subject, so as to obtain the carbon emission reduction of the UHV AC project under each operating scenario.
[0039] It is understandable that regional carbon emission reduction is not solely the result of ultra-high voltage (UHV) AC projects, DC projects, or even the grid side alone, but rather the result of the synergistic effect of power generation, grid, and load. Under the transmission effect of UHV AC projects, the power source, UHV AC transmission channel, and load work as a whole to reduce carbon dioxide emissions in the load area. Under the grid connection effect, the amount of electricity connected by UHV AC projects is relatively small; in this case, the main components are the power source, UHV DC transmission channel, UHV AC transmission channel, and load. In both scenarios, the power source, grid, and load work together. Defining their respective contributions and characterizing the role of each factor in promoting regional carbon emission reduction is fundamental to conducting allocation calculations.
[0040] The Shapley value method is a game theory approach to address income distribution under a combined effect, aiming to match the income of stakeholders with their contributions. It does not consider the income distribution among source-grid-load factors in promoting regional carbon emission reduction, but rather the magnitude of each factor's contribution to carbon emission reduction. The specific expression is: , In the formula, For the first The carbon reduction benefits of individual entities For cooperation alliance The number of participating parties The number of participants in the cooperative alliance; This will bring overall carbon reduction benefits to the alliance. For cooperation alliance remove The carbon reduction benefits afterward.
[0041] The Shapley value satisfies the following three properties: symmetry, efficiency, and additivity. The expressions for these three properties are shown below: , , , In the formula, For the new allocation order, The allocation order of the original participating entities indicates that the allocation result of the alliance is independent of the order.
[0042] The sum of the results allocated to each entity in the alliance should equal the overall allocation result of the alliance. When the alliance allocates according to contribution, the impact of actions outside the alliance on the entity's results is not considered. The alliance exhibits superadditivity; a cooperative alliance is established if and only if the allocated benefits of each participating entity within the alliance are not less than the benefits of independent operation. This project uses the Shapley value method to allocate the regional power grid carbon emission reduction caused before and after the UHV AC connection across the source, grid, and load, thereby objectively quantifying the carbon emission reduction contribution of the UHV AC project during its operation. This embodiment of the invention uses power flow analysis and simulation calculations to obtain the clean energy power generated during the operation of the UHV AC project. After calculating the regional carbon reduction benefits brought by the project by combining carbon emission factors and installed capacity structure, the Shapley value method is used to calculate the emission reduction benefits of the project based on the contribution value, thus achieving a scientific calculation of the carbon emission reduction benefits of the UHV AC project and making the calculation results more objective and reliable.
[0043] This invention discloses a method for calculating carbon emission reductions in ultra-high voltage (UHV) AC power transmission projects. The method involves dividing the UHV AC project into operational scenarios based on its role in the power system and obtaining basic data for each scenario. A time-series production simulation model is constructed for each operational scenario based on the basic data to determine the actual operating parameters of the UHV AC project under each scenario. The regional carbon emission reduction of the UHV AC project under each operational scenario is calculated based on the actual operating parameters, power generation coal consumption, and coal emission factors. Finally, a carbon reduction benefit allocation method is used to allocate the regional carbon emission reduction, resulting in the carbon emission reduction for each operational scenario. This method enables the division of operational scenarios based on the role of the UHV AC project in the power system, combined with actual operating data and time-series production simulation models, to calculate carbon emission reductions. This allows for the scientific calculation of carbon emission reductions in UHV AC projects, making the calculation results more objective and reliable, and solving the problem of inaccurate calculation of carbon emission reductions during the operation phase of UHV AC projects.
[0044] See Figure 2 , Figure 2 This is a schematic diagram of the structure of a carbon emission reduction calculation system 10 for an ultra-high voltage AC power transmission project provided in an embodiment of the present invention. The carbon emission reduction calculation system 10 for the ultra-high voltage AC power transmission project includes: The operation scenario division module 11 is used to divide the UHV AC project into operation scenarios according to the role of the UHV AC project in the power system, and to obtain basic data under each operation scenario. The operating parameter acquisition module 12 is used to construct a time-series production simulation model for each operating scenario based on the basic data, so as to determine the actual operating parameters of the UHV AC project under each operating scenario. The carbon emission reduction calculation module 13 is used to calculate the regional carbon emission reduction of the UHV AC project under each operating scenario based on the actual operating parameters, power generation coal consumption and coal emission factor. The carbon emission reduction allocation module 14 is used to calculate the carbon emission reduction of the region by using the carbon reduction benefit allocation method, so as to obtain the carbon emission reduction of the UHV AC project under each operating scenario.
[0045] Specifically, if the basic data includes operating scheme parameters and power system operating data, The scenario division module 11 is used for: Based on the role of UHV AC projects in the power system, the operation phases of the UHV AC projects are divided into transmission scenarios and grid interconnection scenarios, and operation scheme parameters are set for each operation scenario. Based on the actual operating conditions of the power system under each operating scenario, determine the power system operating data for each operating scenario.
[0046] Specifically, the operating parameter acquisition module 12 is used for: Based on the aforementioned basic data, the objective function and constraints for each operating scenario are determined, resulting in a time-series production simulation model for each operating scenario. The time-series production simulation model is iteratively solved to obtain the actual operating parameters of the UHV AC project under each operating scenario.
[0047] Specifically, the carbon emission reduction calculation module 13 is used for: The proportion of clean electricity in the transmission capacity of the UHV AC project under each operating scenario is calculated based on the actual operating parameters. The regional carbon emission reduction of the UHV AC project under each operating scenario is calculated based on the proportion of clean electricity, coal consumption for power generation, and coal emission factor.
[0048] Specifically, the carbon emission reduction allocation module 14 is used for: Based on the operational logic of the UHV AC project under each operational scenario, the responsible party for allocating costs under each operational scenario is determined. The carbon emission reduction of the region is calculated by allocating the carbon emission reduction of the UHV AC project under each operating scenario using the Shapley value method based on the allocated entity.
[0049] The carbon emission reduction calculation system 10 for ultra-high voltage AC engineering provided in this embodiment of the invention can realize all the processes of the carbon emission reduction calculation method for ultra-high voltage AC engineering in the above embodiment. The functions and technical effects of each module in the system are the same as those of the carbon emission reduction calculation method for ultra-high voltage AC engineering in the above embodiment, and will not be repeated here.
[0050] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications are also considered to be within the scope of protection of the present invention.
Claims
1. A method for measuring and calculating the carbon emission reduction of an extra-high voltage alternating current project, characterized in that, The method comprises the following steps: dividing the UHVAC project into operation scenarios according to the role of the UHVAC project in the power system, and obtaining basic data under each operation scenario; constructing a time-series production simulation model under each operation scenario according to the basic data, so as to determine actual operation parameters of the UHVAC project under each operation scenario; calculating regional carbon emission reduction of the UHVAC project under each operation scenario according to the actual operation parameters, coal consumption of power generation and a coal emission factor; calculating the carbon emission reduction of the UHVAC project under each operation scenario by means of a carbon emission reduction benefit allocation method.
2. The method for calculating the carbon emission reduction of the UHV AC project according to claim 1, characterized in that, If the basic data comprises operation scheme parameters and power system operation data, then the step of dividing the UHVAC project into operation scenarios according to the role of the UHVAC project in the power system, and obtaining basic data under each operation scenario, comprises the following steps: dividing an operation stage of the UHVAC project into a power transmission scenario and a power grid connection scenario according to the role of the UHVAC project in the power system, and setting operation scheme parameters under each operation scenario; determining power system operation data under each operation scenario according to actual operation conditions of the power system under each operation scenario.
3. The method for calculating carbon emission reduction in ultra-high voltage AC projects as described in claim 1, characterized in that, The step of constructing a time-series production simulation model under each operation scenario according to the basic data, so as to determine actual operation parameters of the UHVAC project under each operation scenario, comprises the following steps: determining a target function and a constraint condition under each operation scenario according to the basic data, so as to obtain a time-series production simulation model under each operation scenario; iteratively solving the time-series production simulation model to determine the actual operation parameters of the UHVAC project under each operation scenario.
4. The method for calculating carbon emission reduction in ultra-high voltage AC projects as described in claim 1, characterized in that, The step of calculating regional carbon emission reduction of the UHVAC project under each operation scenario according to the actual operation parameters, coal consumption of power generation and a coal emission factor, comprises the following steps: calculating a clean power proportion of power transmission of the UHVAC project under each operation scenario according to the actual operation parameters; calculating regional carbon emission reduction of the UHVAC project under each operation scenario according to the clean power proportion, coal consumption of power generation and the coal emission factor.
5. The method for calculating carbon emission reduction in ultra-high voltage AC projects as described in claim 1, characterized in that, The step of calculating the carbon emission reduction of the UHVAC project under each operation scenario by means of a carbon emission reduction benefit allocation method, comprises the following steps: determining an allocation subject under each operation scenario according to a role logic of the UHVAC project under each operation scenario; calculating the carbon emission reduction of the UHVAC project under each operation scenario by means of a Shapley value method according to the allocation subject.
6. A system for measuring and calculating the carbon emission reduction of an extra-high voltage alternating current project, characterized in that, The method comprises the following steps: an operation scenario dividing module, configured to divide the UHVAC project into operation scenarios according to the role of the UHVAC project in the power system, and obtain basic data under each operation scenario; an operation parameter obtaining module, configured to construct a time-series production simulation model under each operation scenario according to the basic data, so as to determine actual operation parameters of the UHVAC project under each operation scenario; A carbon emission reduction amount calculation module is configured to calculate regional carbon emission reduction amounts of the UHV AC project in each operation scenario according to the actual operation parameters, power generation coal consumption and coal emission factors; A carbon emission reduction amount allocation module is configured to calculate the regional carbon emission reduction amounts by using a carbon emission reduction benefit allocation method, and obtain carbon emission reduction amounts of the UHV AC project in each operation scenario.
7. The system for measuring and calculating the carbon emission reduction of the UHV AC project according to claim 6, characterized in that, If the basic data includes operation scheme parameters and power system operation data, The operation scenario division module is configured to: divide operation stages of the UHV AC project into power transmission scenarios and power grid connection scenarios according to a role of the UHV AC project in the power system, and set operation scheme parameters in each operation scenario; determine power system operation data in each operation scenario according to actual operation conditions of the power system in each operation scenario.
8. The system for measuring and calculating the carbon emission reduction of the UHV AC project according to claim 6, wherein, The operation parameter acquisition module is configured to: determine objective functions and constraint conditions in each operation scenario according to the basic data, and obtain a time sequence production simulation model in each operation scenario; iteratively solve the time sequence production simulation model to obtain actual operation parameters of the UHV AC project in each operation scenario.
9. The system for measuring and calculating the carbon emission reduction of the UHV AC project according to claim 6, wherein, The carbon emission reduction amount calculation module is configured to: calculate a clean power proportion of power transmission amounts of the UHV AC project in each operation scenario according to the actual operation parameters; calculate regional carbon emission reduction amounts of the UHV AC project in each operation scenario according to the clean power proportion, the power generation coal consumption and the coal emission factors.
10. The system for measuring and calculating the carbon emission reduction of the UHV AC project according to claim 6, characterized in that, The carbon emission reduction amount allocation module is configured to: determine an allocation subject in each operation scenario according to a role logic of the UHV AC project in each operation scenario; calculate the regional carbon emission reduction amounts by using a Shapley value method according to the allocation subject, and obtain carbon emission reduction amounts of the UHV AC project in each operation scenario.
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