Method and device for optimizing carbon emission reduction input cost, electronic device and storage medium

Abstract

The present invention discloses a method and device for optimizing the input cost of carbon emission reduction, an electronic device and a storage medium. The optimization method comprises: obtaining constraint data, and based on the constraint data, using a pre-built optimization model to calculate the input cost data of each pre-selected emission reduction strategy, obtaining multiple optimization result data, and taking the pre-selected emission reduction strategy indicated by the minimum carbon emission reduction input cost as the target emission reduction strategy, wherein the target emission reduction strategy is used to perform carbon emission reduction operations on the target power industry. The present invention solves the technical problem in the related art that the selected emission reduction strategy has a poor impact on the carbon emission reduction operation.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a method and device for optimizing carbon emission reduction input costs, an electronic device and a storage medium. Background Art

[0002] In the relevant technologies, the cost of reducing carbon dioxide emissions is relatively high, the promotion rate of existing emission reduction schemes in the industry is not high, the awareness of emission reduction costs is insufficient, and different industry players are constantly engaged in bargaining and conflicts in the process of sharing carbon dioxide emissions. Therefore, in order to achieve the emission reduction target with the most economical solution while considering the fairness and rationality of the emission reduction responsibilities of each emission reduction subject, it is necessary to optimize the emission reduction strategy.

[0003] As an industry with high energy consumption and high emissions, the power industry is the top priority for power companies to achieve energy conservation and emission reduction in response to climate change and environmental pollution. In related technologies, emission reduction strategies for energy conservation and emission reduction in the power industry include the following two categories: (1) Analyzing the energy conservation and emission reduction potential of each region through macro data of the power industry in each region. However, these emission reduction strategies can often only provide simple solutions for energy conservation and emission reduction in the power industry, and provide energy conservation and emission reduction suggestions at the regional level, but cannot provide in-depth adoption and application of various emission reduction strategies; (2) Analyze the energy conservation and emission reduction potential and cost of individual energy conservation and emission reduction technologies in the power industry. However, most of these micro studies analyze the return on investment of energy conservation and emission reduction technologies per unit installed capacity or a single power plant, and do not provide the total energy conservation and emission reduction potential of each emission reduction strategy at the regional level.

[0004] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0005] Embodiments of the present invention provide a method and device for optimizing carbon emission reduction input costs, an electronic device, and a storage medium, so as to at least solve the technical problem that the emission reduction strategy selected in the related art has a poor impact on carbon emission reduction operations.

[0006] According to one aspect of an embodiment of the present invention, there is provided a method for optimizing the input cost of carbon emission reduction, comprising: obtaining constraint data, wherein the constraint data comprises at least: total budget data, operating cost data, carbon emission reduction target data, and industry promotion rate data of each pre-selected emission reduction strategy; based on the constraint data, using a pre-built optimization model, calculating the input cost data of each pre-selected emission reduction strategy to obtain a plurality of optimization result data, wherein each of the optimization result data comprises the carbon emission reduction input cost; taking the pre-selected emission reduction strategy indicated by the minimum carbon emission reduction input cost as the target emission reduction strategy, wherein the target emission reduction strategy is used to perform carbon emission reduction operations on the target power industry.

[0007] Optionally, before obtaining the constraint data, the optimization method also includes: obtaining parameter data of each initial emission reduction strategy in the initial emission reduction strategy set in the historical process, wherein the initial emission reduction strategy set includes: multiple initial emission reduction strategies, and the parameter data includes at least: the name of the initial emission reduction strategy, the initial investment cost, the annual emission reduction capacity, the operation and maintenance cost, and the life cycle; based on the parameter data, calculating the total emission reduction cost of each of the initial emission reduction strategies within a life cycle, wherein the total emission reduction cost includes at least: the initial investment amount and the operating cost; calculating the ratio of the total emission reduction cost to the total emission reduction amount within a life cycle to obtain the unit emission reduction cost of each of the initial emission reduction strategies.

[0008] Optionally, after calculating the ratio of the total emission reduction cost to the total emission reduction amount within a life cycle to obtain the unit emission reduction cost of each of the initial emission reduction strategies, the optimization method further includes: sorting the unit emission reduction cost of each of the initial emission reduction strategies to obtain a sorting result; based on the sorting result, selecting an initial emission reduction strategy whose unit emission reduction cost is less than a preset value, and using the selected initial emission reduction strategy as the pre-selected emission reduction strategy.

[0009] Optionally, based on the constraint data, a pre-built optimization model is used to calculate the input cost data of each of the pre-selected emission reduction strategies, including: determining the decision variables of the optimization model, wherein the decision variables include the input cost of each of the pre-selected emission reduction strategies; determining the objective function of the optimization model, wherein the objective function is to minimize the carbon emission reduction input cost, and the carbon emission reduction input cost includes at least: initial investment cost and operating cost; determining the constraints of the optimization model, wherein the constraints include at least: the total budget constraint of the pre-selected emission reduction strategy, the operating cost constraint, the carbon emission reduction target constraint, and the expected industry promotion rate constraint; based on the constraint data, the decision variables, the objective function and the constraints, the input cost data of each of the pre-selected emission reduction strategies is calculated.

[0010] Optionally, the step of determining the objective function of the optimization model includes: obtaining the initial investment amount of each of the preselected emission reduction strategies, the unit emission reduction operating cost of each of the preselected emission reduction strategies, and the carbon emission reduction of each of the preselected emission reduction strategies within a first preset time period; and determining the objective function of the optimization model based on the initial investment amount, the unit emission reduction operating cost, and the carbon emission reduction.

[0011] Optionally, the step of determining the constraints of the optimization model includes: obtaining the total investment budget value of the pre-selected emission reduction strategy, the total operating cost value of the pre-selected emission reduction strategy within a second preset time period, a preset total carbon emission reduction amount, and a preset promotion rate; and obtaining the constraints based on the total investment budget value of the pre-selected emission reduction strategy, the total operating cost value, the preset total carbon emission reduction amount, and the preset promotion rate.

[0012] According to another aspect of an embodiment of the present invention, there is also provided a device for optimizing the input cost of carbon emission reduction, including: a first acquisition unit, used to acquire constraint data, wherein the constraint data includes at least: total budget data, operating cost data, carbon emission reduction target data, and industry promotion rate data of each pre-selected emission reduction strategy; a first calculation unit, used to calculate the input cost data of each pre-selected emission reduction strategy based on the constraint data and using a pre-built optimization model to obtain a plurality of optimization result data, wherein each of the optimization result data contains the carbon emission reduction input cost; an output unit, used to use the pre-selected emission reduction strategy indicated by the minimum carbon emission reduction input cost as a target emission reduction strategy, wherein the target emission reduction strategy is used to perform carbon emission reduction operations on the target power industry.

[0013] Optionally, before obtaining the constraint data, the optimization device also includes: a second acquisition unit, used to obtain parameter data of each initial emission reduction strategy in the initial emission reduction strategy set in the historical process, wherein the initial emission reduction strategy set includes: multiple initial emission reduction strategies, and the parameter data at least include: the name of the initial emission reduction strategy, the initial investment cost, the annual emission reduction capacity, the operation and maintenance cost, and the life cycle; a second calculation unit, used to calculate the total emission reduction cost of each of the initial emission reduction strategies within a life cycle based on the parameter data, wherein the total emission reduction cost includes at least: the initial investment amount and the operating cost; a third calculation unit, used to calculate the ratio of the total emission reduction cost to the total emission reduction amount within a life cycle to obtain the unit emission reduction cost of each of the initial emission reduction strategies.

[0014] Optionally, the optimization device also includes: a first sorting module, which is used to calculate the ratio of the total emission reduction cost to the total emission reduction amount within a life cycle to obtain the unit emission reduction cost of each of the initial emission reduction strategies, and then sort the unit emission reduction cost of each of the initial emission reduction strategies to obtain a sorting result; a first selection module, which is used to select an initial emission reduction strategy whose unit emission reduction cost is less than a preset value based on the sorting result, and use the selected initial emission reduction strategy as the pre-selected emission reduction strategy.

[0015] Optionally, the first calculation unit includes: a first determination module, used to determine the decision variables of the optimization model, wherein the decision variables include the input cost of each of the pre-selected emission reduction strategies; a second determination module, used to determine the objective function of the optimization model, wherein the objective function is to minimize the carbon emission reduction input cost, and the carbon emission reduction input cost includes at least: initial investment cost and operating cost; a third determination module, used to determine the constraints of the optimization model, wherein the constraints include at least: the total budget constraint of the pre-selected emission reduction strategy, the operating cost constraint, the carbon emission reduction target constraint, and the expected industry promotion rate constraint; the first calculation module, used to calculate the input cost data of each of the pre-selected emission reduction strategies based on the constraint data, the decision variables, the objective function and the constraints.

[0016] Optionally, the second determination module includes: a first acquisition submodule, used to obtain the initial investment amount of each of the preselected emission reduction strategies, the unit emission reduction operating cost of each of the preselected emission reduction strategies, and the carbon emission reduction amount of each of the preselected emission reduction strategies within a first preset time period; a first determination submodule, used to determine the objective function of the optimization model based on the initial investment amount, the unit emission reduction operating cost and the carbon emission reduction amount.

[0017] Optionally, the third determination module includes: a second acquisition sub-module, used to obtain the total investment budget value of the pre-selected emission reduction strategy, the total operating cost value of the pre-selected emission reduction strategy within a second preset time period, the preset total carbon emission reduction amount, and the preset promotion rate; a first output sub-module, used to obtain the constraint conditions based on the total investment budget value of the pre-selected emission reduction strategy, the total operating cost value, the preset total carbon emission reduction amount and the preset promotion rate.

[0018] According to another aspect of an embodiment of the present invention, a processor is provided; and a memory for storing executable instructions of the processor; wherein the processor is configured to execute any one of the above-mentioned methods for optimizing carbon emission reduction input costs by executing the executable instructions.

[0019] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is also provided, wherein the computer-readable storage medium includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute any one of the above-mentioned methods for optimizing the carbon emission reduction input cost.

[0020] In the present disclosure, constraint data can be obtained, and based on the constraint data, a pre-constructed optimization model is used to calculate the input cost data of each pre-selected emission reduction strategy, and multiple optimization result data are obtained, and the pre-selected emission reduction strategy indicated by the minimum carbon emission reduction input cost is used as the target emission reduction strategy, wherein the target emission reduction strategy is used to perform carbon emission reduction operations on the target power industry. In the present application, through the optimization model constructed with the goal of minimizing the carbon emission reduction input cost, the optimal emission reduction strategy for the power industry under the emission reduction target can be obtained. The use of this optimal emission reduction strategy can not only achieve the emission reduction target at the lowest cost, but also formulate a detailed and reliable emission reduction plan for the power industry, and further implement the emission reduction work, thereby solving the technical problem that the emission reduction strategy selected in the related technology has a poor impact on the carbon emission reduction operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0022] Figure 1 is a flow chart of an optional method for optimizing carbon emission reduction input costs according to an embodiment of the present invention;

[0023] Figure 2 is a schematic diagram of an optional method for selecting an industry emission reduction strategy according to an embodiment of the present invention;

[0024] Figure 3 is a schematic diagram of a device for optimizing carbon emission reduction input costs according to an embodiment of the present invention. DETAILED DESCRIPTION

[0025] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0026] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, 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 clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0027] To facilitate those skilled in the art to understand the present invention, some terms or nouns involved in the embodiments of the present invention are explained below:

[0028] Energy conservation and emission reduction refers to the calculation of the total amount of greenhouse gas emissions directly or indirectly generated by enterprises, groups or individuals within a certain period of time, and the offsetting of their own carbon dioxide emissions through afforestation, energy conservation and emission reduction, etc.

[0029] The following embodiments of the present invention can be applied to various scenarios where emission reduction strategies need to be selected. The optimal emission reduction strategy for the power industry to achieve emission reduction targets can be obtained through the methods of the embodiments of the present invention.

[0030] The embodiment of the present invention can first perform a cost-benefit analysis on each emission reduction strategy, and then screen out multiple emission reduction strategies with smaller unit emission reduction costs in the power industry, with the goal of minimizing the total emission reduction cost under the emission reduction target, and establish a strategy optimization model for achieving the emission reduction target. In addition, the model can be solved using preset software (for example, Matlab software) to obtain the optimal emission reduction strategy for the power industry under the emission reduction target. Not only can the emission reduction target be achieved at the lowest cost, but a detailed and reliable emission reduction plan can also be formulated for the power industry to further implement the emission reduction work. In addition, in the model, on the basis of considering the constraints of the emission reduction target, the impact of emission reduction on the economy and employment is also considered, so that the obtained emission reduction strategy is more realistic.

[0031] Embodiment 1

[0032] According to an embodiment of the present invention, an embodiment of a method for optimizing carbon emission reduction input costs is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0033] Figure 1is a flow chart of an optional method for optimizing carbon emission reduction input costs according to an embodiment of the present invention, such as Figure 1 As shown, the method comprises the following steps:

[0034] Step S102, obtaining constraint data, wherein the constraint data at least includes: total budget data, operating cost data, carbon emission reduction target data, and industry promotion rate data of each pre-selected emission reduction strategy.

[0035] Step S104, based on the constraint data, using a pre-built optimization model, calculates the input cost data of each pre-selected emission reduction strategy to obtain a plurality of optimization result data, wherein each optimization result data includes the carbon emission reduction input cost.

[0036] Step S106: taking the pre-selected emission reduction strategy indicated by the minimum carbon emission reduction investment cost as the target emission reduction strategy, wherein the target emission reduction strategy is used to perform carbon emission reduction operations on the target power industry.

[0037] Through the above steps, constraint data can be obtained. Based on the constraint data, a pre-constructed optimization model is used to calculate the input cost data of each pre-selected emission reduction strategy, and multiple optimization result data are obtained. The pre-selected emission reduction strategy indicated by the minimum carbon emission reduction input cost is used as the target emission reduction strategy, wherein the target emission reduction strategy is used to perform carbon emission reduction operations on the target power industry. In an embodiment of the present invention, an optimization model constructed with the goal of minimizing the carbon emission reduction input cost can be used to obtain the optimal emission reduction strategy for the power industry under the emission reduction target. The use of this optimal emission reduction strategy can not only achieve the emission reduction target at the lowest cost, but also formulate a detailed and reliable emission reduction plan for the power industry, further implement the emission reduction work, and thus solve the technical problem that the emission reduction strategy selected in the related technology has a poor impact on the carbon emission reduction operation.

[0038] The embodiment of the present invention is described in detail below in combination with the above steps.

[0039] In an embodiment of the present invention, before obtaining constraint data, the optimization method also includes: obtaining parameter data of each initial emission reduction strategy in the initial emission reduction strategy set in the historical process, wherein the initial emission reduction strategy set includes: multiple initial emission reduction strategies, and the parameter data includes at least: the name of the initial emission reduction strategy, the initial investment cost, the annual emission reduction capacity, the operation and maintenance cost, and the life cycle; based on the parameter data, calculating the total emission reduction cost of each initial emission reduction strategy within a life cycle, wherein the total emission reduction cost includes at least: the initial investment amount and the operating cost; calculating the ratio of the total emission reduction cost to the total emission reduction amount within a life cycle to obtain the unit emission reduction cost of each initial emission reduction strategy.

[0040] In an embodiment of the present invention, the unit emission reduction cost of each emission reduction strategy is calculated based on various parameters of the emission reduction strategies that have been promoted in recent years (i.e., the parameter data of each initial emission reduction strategy in the initial emission reduction strategy set in the historical process). The collection and organization of emission reduction strategies and their related parameters (i.e., the initial emission reduction strategies and their parameter data) are the basis of the entire optimization model, wherein the parameter data include but are not limited to: the name of the emission reduction strategy (i.e., the name of the initial emission reduction strategy) and its scope of application, initial investment cost, annual emission reduction capacity, future industry promotion rate, operation and maintenance costs, life cycle, etc. Based on these data information (i.e., parameter data), further cost-benefit analysis of the emission reduction strategy is performed, and the specific process is as follows:

[0041] The emission reduction strategies of the power industry that have been promoted in recent years are sorted out, and the main contents include but are not limited to: initial investment amount, annual emission reduction capacity, operation and maintenance costs, technology life cycle, etc., for example, combined heat and power (CHP) technology, supercritical generator set (USC) technology.

[0042] After obtaining these parameter data, the unit emission reduction cost can be calculated based on the investment amount, operation and maintenance cost, annual emission reduction capacity and life cycle of each emission reduction technology in the power industry. The calculation process is as follows:

[0043] (1) First, calculate the total emission reduction cost of each emission reduction strategy within a life cycle (i.e., based on the parameter data, calculate the total emission reduction cost of each initial emission reduction strategy within a life cycle). The total emission reduction cost includes: initial investment amount and operating cost, etc.:

[0044]

[0045] Among them, TC i,t represents the total cost of emission reduction technology i over the entire technology life cycle; IC i,t represents the initial investment amount of emission reduction technology i in the initial investment year t; OM i represents the annual operating cost of emission reduction technology i; R represents the discount rate; T i represents the life cycle of emission reduction technology i.

[0046] (2) Divide the total emission reduction cost by the total emission reduction amount within a life cycle to obtain the unit emission reduction cost of each emission reduction strategy (i.e., calculate the ratio of the total emission reduction cost to the total emission reduction amount within a life cycle to obtain the unit emission reduction cost of each initial emission reduction strategy):

[0047]

[0048] Among them, UC i,t represents the unit emission reduction cost of emission reduction technology i in the entire technology life cycle in year t, E irepresents the emission reduction of emission reduction technology i in one year, T i represents the life cycle of emission reduction technology i, TC i It represents the total cost of emission reduction technology i in the entire technology life cycle in year t.

[0049] Optionally, after calculating the ratio of the total emission reduction cost to the total emission reduction amount within a life cycle to obtain the unit emission reduction cost of each initial emission reduction strategy, the optimization method further includes: sorting the unit emission reduction cost of each initial emission reduction strategy to obtain a sorting result; based on the sorting result, selecting an initial emission reduction strategy whose unit emission reduction cost is less than a preset value, and using the selected initial emission reduction strategy as a pre-selected emission reduction strategy.

[0050] In an embodiment of the present invention, all emission reduction technologies (i.e., initial emission reduction strategies) in the power industry can be sorted according to the unit emission reduction cost, and multiple (e.g., 20 to 30) emission reduction strategies with smaller unit emission reduction costs are selected (i.e., an initial emission reduction strategy with a unit emission reduction cost less than a preset value (which can be set according to actual conditions) is selected), and the selected initial emission reduction strategy is used as the pre-selected emission reduction strategy.

[0051] Step S102, obtaining constraint data, wherein the constraint data at least includes: total budget data, operating cost data, carbon emission reduction target data, and industry promotion rate data of each pre-selected emission reduction strategy.

[0052] In the embodiment of the present invention, some constraint data may be obtained and used to input the constraint data into the optimization model, and the input cost data of each pre-selected emission reduction strategy may be obtained by calculation, so that the optimal emission reduction strategy may be selected for implementation.

[0053] Step S104, based on the constraint data, using a pre-built optimization model, calculates the input cost data of each pre-selected emission reduction strategy to obtain a plurality of optimization result data, wherein each optimization result data includes the carbon emission reduction input cost.

[0054] Optionally, based on the constraint data, a pre-built optimization model is used to calculate the input cost data of each pre-selected emission reduction strategy, including: determining the decision variables of the optimization model, wherein the decision variables include the input cost of each pre-selected emission reduction strategy; determining the objective function of the optimization model, wherein the objective function is to minimize the carbon emission reduction input cost, and the carbon emission reduction input cost includes at least: initial investment cost and operating cost; determining the constraints of the optimization model, wherein the constraints include at least: total budget constraints of the pre-selected emission reduction strategies, operating cost constraints, carbon emission reduction target constraints, and expected industry promotion rate constraints; based on the constraint data, decision variables, objective function and constraints, the input cost data of each pre-selected emission reduction strategy is calculated.

[0055] In the embodiment of the present invention, the optimization model for achieving the emission reduction target can be established with the goal of minimizing the total emission reduction cost under the emission reduction target (i.e., minimizing the carbon emission reduction input cost). The specific process is as follows:

[0056] The decision variables of the optimization model can be determined first, and the decision variables can include the annual investment of the power industry in various emission reduction technologies (that is, the input cost of each pre-selected emission reduction strategy); determine the objective function of the optimization model, which can be the minimization of the total emission reduction cost (that is, the minimization of the carbon emission reduction input cost, including: initial investment cost and operating cost, etc.); determine the constraints, and consider the constraints involving the three major aspects of economy, environment, and society, such as: the total budget constraint of the pre-selected emission reduction strategy, operating cost constraint, carbon emission reduction target constraint, expected industry promotion rate constraint, etc. After that, the input cost data of each pre-selected emission reduction strategy can be calculated through constraint data, decision variables, objective function and constraints.

[0057] In the embodiment of the present invention, the decision variables of the optimization model can be determined as the investment x of the power industry in each emission reduction strategy. i,t , where x i,t It represents the initial investment amount of the power industry in emission reduction technology i in year t.

[0058] Optionally, the step of determining the objective function of the optimization model includes: obtaining the initial investment amount of each pre-selected emission reduction strategy, the unit emission reduction operating cost of each pre-selected emission reduction strategy, and the carbon emission reduction of each pre-selected emission reduction strategy within a first preset time period; and determining the objective function of the optimization model based on the initial investment amount, the unit emission reduction operating cost, and the carbon emission reduction.

[0059] In an embodiment of the present invention, the objective function of the optimization model is determined, i.e., minimizing the total emission reduction cost, wherein the emission reduction cost includes: the initial investment cost and the operating cost of the emission reduction technology, etc. In this embodiment, the initial investment amount of each pre-selected emission reduction strategy (e.g., the initial investment amount of the power industry in emission reduction strategy i in the tth year), the unit emission reduction operating cost of each pre-selected emission reduction strategy (e.g., the unit emission reduction operating cost of emission reduction strategy i in the tth year) and the carbon emission reduction amount of each pre-selected emission reduction strategy (e.g., the carbon dioxide emission reduction amount of emission reduction strategy i in the tth year) can be obtained within a first preset time period (e.g., a certain year), and the total emission reduction cost within the study period is calculated by formula (1) (i.e., the objective function of the optimization model).

[0060]

[0061] Where c represents the total cost of emission reduction during the study period, R represents the discount rate, and x i,t represents the initial investment of the power industry in emission reduction strategy i in year t, year represents the current year; OM i,trepresents the unit emission reduction operating cost of emission reduction strategy i in year t; e i,t represents the carbon dioxide emission reduction of emission reduction strategy i in year t.

[0062] The annual carbon dioxide emission reduction of each technology is positively correlated with the initial investment scale of the technology. The specific relationship is shown in formula (2):

[0063]

[0064] Among them, x i,t In year t, the initial investment x in emission reduction technology i by the power industry is IC i,t represents the initial investment amount IC of emission reduction strategy i in the power industry in year t, E i,t It represents the carbon dioxide emission reduction in the power industry in the tth year when the initial investment amount is IC, and both IC and E are known. Therefore, when the initial investment amount is x, the carbon dioxide emission reduction in the power industry in the tth year when the emission reduction strategy i is x can be obtained. The carbon dioxide emission reduction is related to the decision variable.

[0065] Optionally, the step of determining the constraints of the optimization model includes: obtaining the total investment budget value of the pre-selected emission reduction strategy, the total operating cost value of the pre-selected emission reduction strategy within a second preset time period, a preset total carbon emission reduction amount, and a preset promotion rate; and obtaining the constraints based on the total investment budget value, total operating cost value, preset total carbon emission reduction amount, and preset promotion rate of the pre-selected emission reduction strategy.

[0066] In the embodiment of the present invention, when determining the constraint conditions, the constraint conditions involving the three aspects of economy, environment and society may be considered. Under the current environment, economy and society background, the following six types of constraint conditions may be considered:

[0067] (1) The total budget constraint of the emission reduction strategy (i.e., the total budget constraint of the pre-selected emission reduction strategy). Since the cost of investing in emission reduction technology will have a significant impact on the revenue of the power industry, the total investment cost of emission reduction technology in the power industry is limited in order to ensure positive revenue. The constraints are as follows:

[0068]

[0069] Among them, year represents the current year, and I represents the total investment budget value of the emission reduction strategy of the power industry (that is, the total investment budget value of the pre-selected emission reduction strategy).

[0070] (2) Operating cost constraints. Since the operating cost of some emission reduction strategies is a significant expenditure, high operating costs will have an adverse impact on the liquidity and stability of investors' cash flow. Therefore, an upper limit on the total operating cost of the investment portfolio is set, and the constraints are as follows:

[0071]

[0072] Among them, B represents the upper limit of the total operating cost of emission reduction technologies in the power industry within a certain preset time period (that is, the total operating cost value of the pre-selected emission reduction strategy within the second preset time period (that is, the entire period to be studied)).

[0073] (3) CO2 emission reduction target constraint (carbon emission reduction target constraint). In order to achieve the emission reduction target, the annual CO2 emissions of the power industry are strictly limited. Based on the emission reduction path and the actual carbon emission forecast value of a certain region, as well as the carbon emission proportion of the power industry in historical years, the amount of CO2 that the power industry in the region should reduce each year can be obtained. The annual CO2 emission reduction of the power industry shall not be less than the amount that the power industry must reduce. The constraints are as follows:

[0074]

[0075] Among them, E t In order to achieve emission reduction, the power industry must achieve carbon dioxide emission reduction in year t (i.e. the preset total carbon emission reduction).

[0076] (4) Constraints on employment security. The power industry belongs to the energy supply industry. This industry has the characteristics of high emissions and low output. The implementation of energy conservation and emission reduction policies will affect its production capacity adjustment, thus leading to a reduction in employment. In order to ensure the stability of the number of employed people during the emission reduction process, while achieving the annual emission reduction target, it is necessary to control the number of people who lose their jobs due to emission reduction within a certain range. The constraints are as follows:

[0077]

[0078] Among them, P represents the number of employees per unit of carbon emissions, TP t Indicates the maximum allowable reduction in employment per year.

[0079] (5) Expected industry promotion rate constraints of emission reduction strategies (expected industry promotion rate constraints). Although many carbon emission reduction strategies have been developed, the actual feasibility of different emission reduction strategies varies due to the limitations of their implementation conditions. For example, strategies with small investments but high carbon dioxide emission reduction rates have very high construction conditions or operation requirements, which may not be met by all companies in the power industry. In this embodiment, the industry promotion rate can be converted into an investment ratio, and it is assumed that the industry promotion rate of each emission reduction strategy is equal to the investment of the corresponding emission reduction strategy divided by the annual total emission reduction investment budget. The constraints are as follows:

[0080]

[0081] in, represents the maximum promotion rate of emission reduction strategy i in the power industry (i.e., the preset promotion rate), I represents the total investment budget of emission reduction technology, and T s and T e represent the starting year and ending year of the study period, respectively.

[0082] (6) The decision variable is subject to non-negative constraints. The amount of investment in emission reduction technology by the power industry is a natural number and is non-negative. The constraints are as follows:

[0083] x i,t ≥0;

[0084] Step S106: taking the pre-selected emission reduction strategy indicated by the minimum carbon emission reduction investment cost as the target emission reduction strategy, wherein the target emission reduction strategy is used to perform carbon emission reduction operations on the target power industry.

[0085] In an embodiment of the present invention, after obtaining the input cost data of each pre-selected emission reduction strategy, the pre-selected emission reduction strategy indicated by the small carbon emission reduction input cost can be used as the target emission reduction strategy, and the target emission reduction strategy can be used to perform carbon emission reduction operations on the target power industry, so as to achieve the purpose of achieving the emission reduction target in the power industry at the lowest cost.

[0086] The embodiment of the present invention can use linear programming to obtain the optimal emission reduction strategy for the power industry to achieve the emission reduction target. First, a cost-benefit analysis is performed on each emission reduction technology, and then multiple emission reduction technologies with smaller unit emission reduction costs in the power industry are screened out. Finally, a strategy optimization model for achieving the emission reduction target is established with the goal of minimizing the total emission reduction cost under the emission reduction target. The model can be solved using preset software to obtain the optimal emission reduction strategy for the power industry under the emission reduction target. Not only can the emission reduction target be achieved at the lowest cost, but a detailed and reliable emission reduction plan can also be formulated for the power industry to further implement the emission reduction work. Moreover, in the model, on the basis of considering the constraints of the emission reduction target, the impact of emission reduction on the economy and employment is also considered, so that the obtained results are more realistic.

[0087] Embodiment 2

[0088] Figure 2 is a schematic diagram of an optional method for selecting an industry emission reduction strategy according to an embodiment of the present invention, such as Figure 2 As shown, it includes: cost-benefit analysis of emission reduction technology, screening of emission reduction technology, optimization of emission reduction strategy, and model results. The specific process is as follows:

[0089] (1) Cost-benefit analysis of emission reduction strategies: By collecting and organizing emission reduction technology data in the power industry, we can obtain various parameters of each emission reduction strategy and calculate the unit emission reduction cost of each technology.

[0090] The collection and organization of emission reduction technologies and their related parameters is the basis of the entire optimization model. By organizing the obtained data, various parameters of each emission reduction strategy can be obtained, including the name and scope of application of the emission reduction strategy, initial investment cost, annual emission reduction capacity, future industry promotion rate, etc. Based on these parameter information, further cost-benefit analysis of the emission reduction strategy can be carried out.

[0091] The steps for calculating the unit emission reduction cost of each technology in this embodiment are as follows:

[0092] 1) To organize the emission reduction strategies of the power industry that are promoted in a certain period of time, including but not limited to: initial investment amount, annual emission reduction capacity, operation and maintenance costs, technology life cycle, etc., for example, combined heat and power (CHP) technology, supercritical generator (USC) technology.

[0093] 2) After obtaining these parameter data, the unit emission reduction cost can be calculated based on the investment amount, operation and maintenance cost, annual emission reduction capacity and strategy life cycle of each emission reduction strategy in the power industry. The calculation process is as follows:

[0094] First, calculate the total emission reduction cost of each emission reduction strategy within a life cycle, where the total emission reduction cost includes: initial investment amount and operating cost, etc.:

[0095]

[0096] Among them, TC i,t represents the total cost of emission reduction strategy i over the entire technology life cycle; IC i,t represents the initial investment amount of emission reduction strategy i in the initial investment year t; OM i represents the annual operating cost of emission reduction strategy i; R represents the discount rate; T i represents the life cycle of emission reduction technology i.

[0097] Then, the total emission reduction cost is divided by the total emission reduction amount in a life cycle to obtain the unit emission reduction cost of each technology:

[0098]

[0099] Among them, UC i,t represents the unit emission reduction cost of emission reduction technology i in the entire technology life cycle in year t, E i represents the emission reduction of emission reduction technology i in one year, T i represents the life cycle of emission reduction technology i, TC i It represents the total cost of emission reduction technology i in the entire technology life cycle in year t.

[0100] (2) Screening of emission reduction strategies: Sort the emission reduction strategies according to the unit emission reduction cost, and screen the relatively economical emission reduction technologies in the power industry (i.e., select emission reduction technologies whose unit emission reduction cost is less than the preset value (which can be set according to the actual situation)).

[0101] (3) Optimization of emission reduction strategies: With the goal of minimizing the total emission reduction cost under the emission reduction target, a strategy selection optimization model for achieving the emission reduction target is established, and the model can be solved using preset software. The specific process is as follows:

[0102] 1) Determine the decision variables of the optimization model, namely, the power industry’s investment in various emission reduction strategies x i,t , represents the initial investment amount of the power industry in emission reduction strategy i in year t;

[0103] 2) Determine the objective function of the optimization model, that is, minimize the total cost of emission reduction. The emission reduction cost includes the initial investment cost and operating cost of the emission reduction strategy. The formula of the objective function is as follows:

[0104]

[0105] Where c represents the total cost of emission reduction during the study period, R represents the discount rate, and x i,t represents the initial investment of the power industry in emission reduction strategy i in year t; OM i,t represents the unit emission reduction operating cost of emission reduction strategy i in year t; e i,t represents the carbon dioxide emission reduction of emission reduction strategy i in year t.

[0106] The annual carbon dioxide emission reduction of each technology is positively correlated with the initial investment scale of the technology. The specific relationship is as follows:

[0107]

[0108] Among them, x i,t In year t, the initial investment x of the power industry in emission reduction strategy i, IC i,t represents the initial investment amount IC of emission reduction strategy i in the power industry in year t, E i,t It represents the carbon dioxide emission reduction in the power industry in the tth year when the initial investment amount is IC, and both IC and E are known. Therefore, when the initial investment amount is x, the carbon dioxide emission reduction in the power industry in the tth year when the emission reduction strategy i is x can be obtained. The carbon dioxide emission reduction is related to the decision variable.

[0109] 3) Determine the constraints. You can consider the constraints related to the economy, environment, and society. Under the current environmental, economic, and social background, you can consider the following six types of constraints:

[0110] A) Constraints on the total budget of emission reduction strategies: Since the cost of investing in emission reduction strategies will have a significant impact on the revenue of the power industry, in order to ensure positive returns, the total investment cost of emission reduction strategies is limited. The constraints are as follows:

[0111]

[0112] Where I represents the total budget value of investment in emission reduction technologies in the power industry.

[0113] B) Operating cost constraints: Since the operating cost of some emission reduction technologies is a significant expenditure, high operating costs will have an adverse impact on the liquidity and stability of investors' cash flow. Therefore, an upper limit on the total operating cost of the portfolio is set, and the constraints are as follows:

[0114]

[0115] Among them, B represents the upper limit of the total operating cost of emission reduction technologies in the power industry during the entire study period.

[0116] C) CO2 emission reduction target constraint: In order to achieve the emission reduction target, the annual CO2 emissions of the power industry are strictly limited. According to the emission reduction path and the actual carbon emission forecast value of a region, as well as the carbon emission proportion of the power industry in historical years, the amount of CO2 that the power industry in the region should reduce each year can be obtained. The annual CO2 emission reduction of the power industry shall not be less than the amount that the power industry must reduce. The constraints are as follows:

[0117]

[0118] Among them, E t In order to achieve emission reduction, the power industry must achieve carbon dioxide emission reduction in year t.

[0119] D) Constraints on employment security: The power industry belongs to the energy supply industry. This industry has the characteristics of high emissions and low output. The implementation of energy conservation and emission reduction policies will affect its production capacity adjustment, resulting in a reduction in employment. In order to ensure the stability of the number of employed people during the emission reduction process, while achieving the annual emission reduction target, it is necessary to control the number of unemployed people due to emission reduction within a certain range. The constraints are as follows:

[0120]

[0121] Where P represents the number of employees per unit of carbon emissions, TP t Indicates the maximum allowable reduction in employment per year.

[0122] E) Expected industry promotion rate of emission reduction technology: Although many carbon emission reduction technologies have been developed, the actual feasibility of different emission reduction strategies varies due to the limitations of their implementation conditions. For example, technologies with low investment but high carbon dioxide emission reduction rate have very high construction conditions or operation requirements, which may not be met by all companies in the power industry. In this embodiment, the industry promotion rate can be converted into an investment ratio, and it is assumed that the industry promotion rate of each emission reduction strategy is equal to the investment of the corresponding emission reduction strategy divided by the annual total emission reduction investment budget. The constraints are as follows:

[0123]

[0124] in, represents the maximum promotion rate of emission reduction strategy i in the power industry, I represents the total investment budget of emission reduction strategy, T s and T e represent the starting year and ending year of the study period, respectively.

[0125] F), non-negative constraint of decision variables: The investment amount of the power industry in emission reduction strategy is a natural number and is non-negative. The constraints are as follows:

[0126] x i,t ≥0;

[0127] (4) Model results: The model can be solved using preset software to obtain the optimal emission reduction strategy for the power industry to achieve the emission reduction target, as well as the minimum total emission reduction cost of the power industry under the emission reduction path during the study period.

[0128] The embodiment of the present invention can first conduct a cost-benefit analysis on each emission reduction strategy, and then screen out multiple emission reduction technologies with lower unit emission reduction costs in the power industry. Finally, with the goal of minimizing the total emission reduction cost under the emission reduction target, a strategy optimization model for achieving the emission reduction target is established, and the model can be solved using preset software to obtain the optimal emission reduction strategy for the power industry under the emission reduction target. Not only can the emission reduction target be achieved at the lowest cost, but a detailed and reliable emission reduction plan can also be formulated for the power industry to further implement the emission reduction work. Moreover, in the model, on the basis of considering the constraints of the emission reduction target, the impact of emission reduction on the economy and employment is also considered, so that the obtained results are more realistic.

[0129] Embodiment 3

[0130] A device for optimizing carbon emission reduction input costs provided in this embodiment includes multiple implementation units, each of which corresponds to each implementation step in the above-mentioned embodiment 1.

[0131] Figure 3 is a schematic diagram of a device for optimizing carbon emission reduction input costs according to an embodiment of the present invention, such as Figure 3 As shown, the optimization device may include: a first acquisition unit 30, a first calculation unit 32, and an output unit 34, wherein:

[0132] A first acquisition unit 30 is used to acquire constraint data, wherein the constraint data at least includes: total budget data, operating cost data, carbon emission reduction target data, and industry promotion rate data of each pre-selected emission reduction strategy;

[0133] The first calculation unit 32 is used to calculate the input cost data of each pre-selected emission reduction strategy based on the constraint data and using a pre-built optimization model to obtain a plurality of optimization result data, wherein each optimization result data includes the carbon emission reduction input cost;

[0134] The output unit 34 is used to use the pre-selected emission reduction strategy indicated by the minimum carbon emission reduction investment cost as the target emission reduction strategy, wherein the target emission reduction strategy is used to perform carbon emission reduction operations on the target power industry.

[0135] The above-mentioned optimization unit can obtain constraint data through the first acquisition unit 30, and calculate the input cost data of each pre-selected emission reduction strategy based on the constraint data through the first calculation unit 32 using a pre-built optimization model to obtain multiple optimization result data, and use the pre-selected emission reduction strategy indicated by the minimum carbon emission reduction input cost as the target emission reduction strategy through the output unit 34, wherein the target emission reduction strategy is used to perform carbon emission reduction operations on the target power industry. In an embodiment of the present invention, by constructing an optimization model with the goal of minimizing the carbon emission reduction input cost, the optimal emission reduction strategy for the power industry under the realization of the emission reduction target can be obtained. The use of this optimal emission reduction strategy can not only achieve the emission reduction target at the lowest cost, but also formulate a detailed and reliable emission reduction plan for the power industry, further implement the emission reduction work, and thus solve the technical problem that the emission reduction strategy selected in the related technology has a poor impact on the carbon emission reduction operation.

[0136] Optionally, before obtaining the constraint data, the optimization device also includes: a second acquisition unit, used to obtain parameter data of each initial emission reduction strategy in the initial emission reduction strategy set in the historical process, wherein the initial emission reduction strategy set includes: multiple initial emission reduction strategies, and the parameter data includes at least: the name of the initial emission reduction strategy, the initial investment cost, the annual emission reduction capacity, the operation and maintenance cost, and the life cycle; a second calculation unit, used to calculate the total emission reduction cost of each initial emission reduction strategy within a life cycle based on the parameter data, wherein the total emission reduction cost includes at least: the initial investment amount and the operating cost; a third calculation unit, used to calculate the ratio of the total emission reduction cost to the total emission reduction amount within a life cycle to obtain the unit emission reduction cost of each initial emission reduction strategy.

[0137] Optionally, the optimization device also includes: a first sorting module, which is used to calculate the ratio of the total emission reduction cost to the total emission reduction amount within a life cycle to obtain the unit emission reduction cost of each initial emission reduction strategy, and then sort the unit emission reduction cost of each initial emission reduction strategy to obtain a sorting result; a first selection module, which is used to select an initial emission reduction strategy whose unit emission reduction cost is less than a preset value based on the sorting result, and use the selected initial emission reduction strategy as a pre-selected emission reduction strategy.

[0138] Optionally, the first calculation unit includes: a first determination module, used to determine the decision variables of the optimization model, wherein the decision variables include the input cost of each pre-selected emission reduction strategy; a second determination module, used to determine the objective function of the optimization model, wherein the objective function is to minimize the carbon emission reduction input cost, and the carbon emission reduction input cost includes at least: initial investment cost and operating cost; a third determination module, used to determine the constraints of the optimization model, wherein the constraints include at least: the total budget constraint of the pre-selected emission reduction strategy, the operating cost constraint, the carbon emission reduction target constraint, and the expected industry promotion rate constraint; the first calculation module, used to calculate the input cost data of each pre-selected emission reduction strategy based on the constraint data, decision variables, objective function and constraints.

[0139] Optionally, the second determination module includes: a first acquisition submodule, used to obtain the initial investment amount of each preselected emission reduction strategy, the unit emission reduction operating cost of each preselected emission reduction strategy and the carbon emission reduction amount of each preselected emission reduction strategy within a first preset time period; a first determination submodule, used to determine the objective function of the optimization model based on the initial investment amount, the unit emission reduction operating cost and the carbon emission reduction amount.

[0140] Optionally, the third determination module includes: a second acquisition sub-module, used to obtain the total investment budget value of the pre-selected emission reduction strategy, the total operating cost value of the pre-selected emission reduction strategy within a second preset time period, the preset total carbon emission reduction amount, and the preset promotion rate; a first output sub-module, used to obtain the constraint conditions based on the total investment budget value, the total operating cost value, the preset total carbon emission reduction amount and the preset promotion rate of the pre-selected emission reduction strategy.

[0141] The above-mentioned optimization device may also include a processor and a memory. The above-mentioned first acquisition unit 30, first calculation unit 32, output unit 34, etc. are all stored in the memory as program units, and the processor executes the above-mentioned program units stored in the memory to realize corresponding functions.

[0142] The processor includes a kernel, which retrieves the corresponding program unit from the memory. The kernel can be set to one or more, and the pre-selected emission reduction strategy indicated by the minimum carbon emission reduction input cost is used as the target emission reduction strategy by adjusting the kernel parameters.

[0143] The above-mentioned memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one storage chip.

[0144] The present application also provides a computer program product, which, when executed on a data processing device, is suitable for executing a program that initializes the following method steps: obtaining constraint data, and based on the constraint data, using a pre-built optimization model to calculate the input cost data of each pre-selected emission reduction strategy, to obtain multiple optimization result data, and using the pre-selected emission reduction strategy indicated by the minimum carbon emission reduction input cost as the target emission reduction strategy, wherein the target emission reduction strategy is used to perform carbon emission reduction operations on the target power industry.

[0145] According to another aspect of an embodiment of the present invention, a processor is provided; and a memory for storing executable instructions of the processor; wherein the processor is configured to execute any of the above-mentioned methods for optimizing carbon emission reduction input costs by executing the executable instructions.

[0146] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute any one of the above-mentioned methods for optimizing the carbon emission reduction input cost.

[0147] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0148] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0149] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0150] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0151] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0152] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0153] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for optimizing carbon emission reduction input costs, characterized in that: include: Obtain constraint data, wherein the constraint data includes at least: total budget data, operating cost data, carbon emission reduction target data, and industry promotion rate data of each pre-selected emission reduction strategy; Based on the constraint data, using a pre-built optimization model, the input cost data of each of the pre-selected emission reduction strategies is calculated to obtain a plurality of optimization result data, wherein each of the optimization result data includes the carbon emission reduction input cost; Based on the constraint data, using a pre-built optimization model, the step of calculating the input cost data of each of the pre-selected emission reduction strategies comprises: determining the decision variables of the optimization model, wherein the decision variables include the input cost of each of the pre-selected emission reduction strategies; determining the objective function of the optimization model, wherein the objective function is to minimize the carbon emission reduction input cost, and the carbon emission reduction input cost includes at least: initial investment cost and operating cost; determining the constraint conditions of the optimization model, wherein the constraint conditions include at least: total budget constraint of the pre-selected emission reduction strategy, operating cost constraint, carbon emission reduction target constraint, and expected industry promotion rate constraint; based on the constraint data, the decision variables, the objective function and the constraint conditions, calculating the input cost data of each of the pre-selected emission reduction strategies; Using the pre-selected emission reduction strategy indicated by the minimum carbon emission reduction input cost as the target emission reduction strategy, wherein the target emission reduction strategy is used to perform carbon emission reduction operations on the target power industry; The step of obtaining the pre-selected emission reduction strategy includes: before obtaining the constraint data, obtaining the parameter data of each initial emission reduction strategy in the initial emission reduction strategy set in the historical process, wherein the initial emission reduction strategy set includes: multiple initial emission reduction strategies, and the parameter data includes at least: the name of the initial emission reduction strategy, the initial investment cost, the annual emission reduction capacity, the operation and maintenance cost, and the life cycle; based on the parameter data, calculating the total emission reduction cost of each initial emission reduction strategy in a life cycle, wherein the total emission reduction cost includes at least: the initial investment amount and the operation cost; calculating the ratio of the total emission reduction cost to the total emission reduction amount in a life cycle to obtain the unit emission reduction cost of each initial emission reduction strategy; sorting the unit emission reduction cost of each initial emission reduction strategy to obtain the sorting result; based on the sorting result, selecting the initial emission reduction strategy whose unit emission reduction cost is less than a preset value, and using the selected initial emission reduction strategy as the pre-selected emission reduction strategy.

2. The optimization method according to claim 1, characterized in that: The step of determining the objective function of the optimization model comprises: Obtaining an initial investment amount of each of the preselected emission reduction strategies, a unit emission reduction operating cost of each of the preselected emission reduction strategies, and a carbon emission reduction amount of each of the preselected emission reduction strategies within a first preset time period; The objective function of the optimization model is determined based on the initial investment amount, the unit emission reduction operating cost and the carbon emission reduction amount.

3. The optimization method according to claim 1, characterized in that: The step of determining the constraint conditions of the optimization model comprises: Obtaining a total investment budget value of the preselected emission reduction strategy, a total operating cost value of the preselected emission reduction strategy within a second preset time period, a preset total carbon emission reduction amount, and a preset promotion rate; Based on the total investment budget value of the pre-selected emission reduction strategy, the total operating cost value, the preset total carbon emission reduction amount and the preset promotion rate, constraint conditions are obtained.

4. A device for optimizing carbon emission reduction input costs, characterized in that: include: A first acquisition unit is used to acquire constraint data, wherein the constraint data at least includes: total budget data, operating cost data, carbon emission reduction target data, and industry promotion rate data of each pre-selected emission reduction strategy; A first calculation unit is used to calculate the input cost data of each of the pre-selected emission reduction strategies based on the constraint data and using a pre-built optimization model to obtain a plurality of optimization result data, wherein each of the optimization result data includes the carbon emission reduction input cost; The first calculation unit includes: a first determination module for determining the decision variables of the optimization model, wherein the decision variables include the input cost of each of the pre-selected emission reduction strategies; a second determination module for determining the objective function of the optimization model, wherein the objective function is to minimize the carbon emission reduction input cost, and the carbon emission reduction input cost includes at least: initial investment cost and operating cost; a third determination module for determining the constraints of the optimization model, wherein the constraints include at least: total budget constraints of the pre-selected emission reduction strategies, operating cost constraints, carbon emission reduction target constraints, and expected industry promotion rate constraints; the first calculation module is used to calculate the input cost data of each of the pre-selected emission reduction strategies based on the constraint data, the decision variables, the objective function, and the constraints; An output unit, used to use the pre-selected emission reduction strategy indicated by the minimum carbon emission reduction input cost as a target emission reduction strategy, wherein the target emission reduction strategy is used to perform carbon emission reduction operations on a target power industry; Before obtaining the constraint data, the optimization device further includes: a second acquisition unit, which is used to obtain parameter data of each initial emission reduction strategy in the initial emission reduction strategy set in the historical process, wherein the initial emission reduction strategy set includes: multiple initial emission reduction strategies, and the parameter data at least includes: the name of the initial emission reduction strategy, the initial investment cost, the annual emission reduction capacity, the operation and maintenance cost, and the life cycle; a second calculation unit, which is used to calculate the total emission reduction cost of each of the initial emission reduction strategies within a life cycle based on the parameter data, wherein the total emission reduction cost at least includes: the initial investment amount and the operating cost; a third calculation unit, which is used to calculate the ratio of the total emission reduction cost to the total emission reduction amount within a life cycle to obtain the unit emission reduction cost of each of the initial emission reduction strategies; The first sorting module is used to calculate the ratio of the total emission reduction cost to the total emission reduction amount within a life cycle to obtain the unit emission reduction cost of each of the initial emission reduction strategies, and then sort the unit emission reduction cost of each of the initial emission reduction strategies to obtain a sorting result; the first selection module is used to select an initial emission reduction strategy with a unit emission reduction cost less than a preset value based on the sorting result, and use the selected initial emission reduction strategy as the pre-selected emission reduction strategy.

5. An electronic device, characterized in that: include: processor; as well as A memory, configured to store executable instructions of the processor; The processor is configured to execute the method for optimizing carbon emission reduction input costs as described in any one of claims 1 to 3 by executing the executable instructions.

6. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the method for optimizing the carbon emission reduction input cost according to any one of claims 1 to 3.

Images