Combined cycle unit selection method and system based on two-part electricity price and carbon emission

Abstract

This application relates to a method and system for selecting combined cycle power units based on two-part tariffs and carbon emissions, belonging to the field of equipment selection technology. The method includes obtaining the annual dispatch curves of combined cycle power units under peak-shaving mode and two-part tariffs; determining the capacity range of candidate units based on the dispatch curves; calculating the real-time gas consumption rate of each candidate unit under the corresponding operating conditions of the dispatch curves based on a thermodynamic model; calculating the annual gas consumption and power supply of each candidate unit based on the real-time gas consumption rate and the dispatch curves; calculating the incremental engineering investment of the remaining candidate units relative to the benchmark unit, using one candidate unit as a benchmark; calculating the annual incremental engineering revenue, annual cost, and annual profit of each non-benchmark candidate unit; calculating the dynamic investment payback period based on the annual profit and comparing it with a preset threshold to determine the optimal selection scheme. By incorporating capacity tariff compensation and carbon emission costs into the selection evaluation system, this solves the technical problem that traditional selection methods cannot adapt to two-part tariffs and carbon emission policies.

Description

Technical Field

[0001] This application relates to the field of equipment selection technology, and more specifically, to a method and system for selecting combined cycle power units based on two-part electricity pricing and carbon emissions. Background Technology

[0002] Gas-fired combined cycle (Gas-Steam) units are widely used in peak-shaving operations of power systems due to their flexible start-up and shutdown capabilities and rapid load regulation. With the deepening of power market reforms, the two-part tariff policy has gradually become the main pricing mechanism for peak-shaving units, meaning that the unit's revenue consists of both electricity revenue and capacity revenue. Under this policy background, the selection decision for combined cycle units faces new technical challenges: if the selected capacity is too large, although higher capacity tariff compensation can be obtained, the incremental investment cost increases significantly, and the gas consumption rate is high during low-load operation, resulting in decreased operational economics; if the selected capacity is too small, the capacity tariff compensation is insufficient to cover the fixed investment cost.

[0003] Traditional combined cycle power unit selection methods primarily compare power generation efficiency and unit investment cost under rated operating conditions. They fail to adequately consider the frequent fluctuations in actual unit output under peak-shaving operation modes caused by scheduling curves, and also neglect to incorporate the capacity pricing compensation mechanism in two-part tariffs into the selection decision model. Furthermore, carbon emission trading costs are an indispensable part of calculating the operating costs of combined cycle power units. Therefore, existing selection methods struggle to quantitatively assess the comprehensive economic viability of different capacity options under peak-shaving modes, easily leading to biased selection decisions and resulting in wasted investment or lost revenue. Summary of the Invention

[0004] To address the aforementioned technical problems, this invention proposes a method and system for selecting combined cycle power units based on two-part tariffs and carbon emissions.

[0005] The technical solution of this invention is as follows: This invention proposes a method for selecting combined cycle power units based on two-part tariffs and carbon emissions, comprising the following steps: Obtain the annual dispatch curve of the combined cycle unit under peak shaving mode, as well as the electricity price and capacity price in the two-part tariff; The capacity range of candidate units is determined based on the scheduling curve, and the candidate units are determined based on the capacity range. The real-time gas consumption rate of each candidate unit under the corresponding operating condition of the scheduling curve is calculated based on the thermodynamic model. Based on the real-time gas consumption rate and dispatch curve, calculate the total gas consumption and total power supply of each candidate unit during the annual peak-shaving operation. Using one candidate unit as a benchmark, calculate the incremental engineering investment of the remaining candidate units relative to the benchmark unit; The incremental annual revenue of each non-benchmark candidate unit is calculated based on the two-part electricity price, total gas consumption, and total power supply. The annual cost of incremental engineering for each non-benchmark candidate unit is calculated based on incremental engineering investment, average annual long-term contract price deviation, and carbon emission costs. Calculate the annual profit of the incremental project based on the annual revenue and annual cost of the incremental project. The dynamic payback period for the incremental project investment is calculated based on the annual profit of the incremental project, and this period is compared with a preset threshold to determine the optimal solution.

[0006] Preferably, the annual scheduling curve is expressed as a peak-shaving depth function with an hourly time step: ; In the formula: h is the hour number; For scheduling curve functions; The peak-shaving depth of the combined cycle unit is calculated using the following function: ; In the formula: For the actual output of the unit; This is the rated output of the unit.

[0007] Preferably, the thermodynamic model is implemented using gas turbine performance simulation software. By inputting the natural gas composition, the different dispatch power of each candidate unit, and the ambient temperature and atmospheric pressure parameters at the corresponding time, the model outputs the hourly gas consumption, power generation, and plant power consumption rate under each operating condition, and then calculates the real-time gas consumption rate.

[0008] Preferably, the incremental engineering investment includes the cost deviation of the main unit, the cost deviation of the main system, and the cost deviation of the main plant.

[0009] Preferably, the incremental project annual revenue calculation function is: ; In the formula: Let i be the annual revenue of candidate unit i relative to the benchmark unit D; , These represent the total annual power supply of candidate unit i and benchmark unit D, respectively. , These are the rated generating capacities of candidate unit i and reference unit D, respectively; , These represent the total annual gas consumption of candidate unit i and benchmark unit D, respectively. Electricity price based on electricity volume; It is a capacity-based electricity price; This refers to the price of natural gas delivered to the plant.

[0010] Preferably, the incremental project annual cost calculation function is: ; In the formula: The incremental annual engineering cost of candidate unit i relative to the baseline unit D; The incremental engineering investment for candidate unit i relative to the baseline unit D; Annual repair cost rate; The average annual long-term contract price deviation of candidate unit i relative to the benchmark unit D; The annual carbon emission cost deviation of candidate unit i relative to the benchmark unit D is calculated using the following function: ; In the formula: The carbon content of natural gas; The oxidation rate of natural gas; , They are respectively And the relative molecular mass of C; This refers to the carbon market price.

[0011] Preferably, the dynamic investment payback period is determined by setting a discount rate, calculating the present value of the profit generated by the incremental project investment each year, and the year corresponding to when the cumulative present value turns from negative to positive is the dynamic investment payback period.

[0012] On the other hand, the present invention also provides a combined cycle unit selection system based on two-part electricity pricing and carbon emissions, including: The data acquisition module acquires the annual dispatch curve of the combined cycle unit under peak shaving mode, as well as the electricity price and capacity price in the two-part electricity price system. The gas consumption rate calculation module determines the capacity range of candidate units based on the scheduling curve, determines the candidate units based on the capacity range, and calculates the real-time gas consumption rate of each candidate unit under the corresponding operating conditions of the scheduling curve based on the thermodynamic model. The total gas consumption and total power supply calculation module calculates the total gas consumption and total power supply of each candidate unit during the year-round peak shaving operation based on the real-time gas consumption rate and scheduling curve. The incremental investment calculation module uses a candidate unit as a benchmark to calculate the incremental engineering investment of the remaining candidate units relative to the benchmark unit. The incremental annual revenue calculation module calculates the incremental project annual revenue of each non-benchmark candidate unit based on the two-part electricity price, total gas consumption, and total power supply. The incremental annual cost calculation module calculates the incremental annual cost of each non-benchmark candidate unit based on incremental project investment, average annual long-term contract price deviation, and carbon emission costs. The incremental annual profit calculation module calculates the annual profit of the incremental project based on the annual revenue and annual cost of the incremental project. The selection module calculates the dynamic payback period of the incremental project investment based on the annual profit of the incremental project, and compares the payback period with a preset threshold to determine the optimal solution.

[0013] In another aspect, the present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the combined cycle unit selection method based on two-part electricity pricing and carbon emissions as described in any embodiment of the present invention.

[0014] In another aspect, the present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the combined cycle unit selection method based on two-part electricity pricing and carbon emissions as described in any embodiment of the present invention.

[0015] The present invention has the following beneficial effects: 1. This invention is the first to quantitatively compare the capacity price compensation and incremental project investment cost in the two-part electricity pricing system, solving the technical problem that traditional selection methods cannot adapt to the two-part electricity pricing policy and filling a gap in this field.

[0016] 2. Based on the annual scheduling curve and thermodynamic model, the real-time gas consumption rate of the computer unit under different peak shaving depths and meteorological conditions truly reflects the energy consumption characteristics of the unit in actual peak shaving operation, avoiding the deviation caused by the traditional method that only uses rated operating parameters.

[0017] 3. In the economic evaluation system for the selection of combined cycle units, the quantitative calculation dimension of carbon emission costs is innovatively introduced, which breaks through the limitations of traditional selection that only considers direct energy consumption and equipment costs, and makes the evaluation results more consistent with the comprehensive benefits of the unit's actual long-term operation.

[0018] 4. Using the dynamic investment payback period as a selection criterion provides clear and quantifiable boundary conditions for investment decisions, effectively avoiding the risks of blindly pursuing large or small capacity. Attached Figure Description

[0019] Figure 1 This is a flowchart of the method of the present invention. Detailed Implementation

[0020] 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.

[0021] It should be understood that the step numbers used in the text are for ease of description only and are not intended to limit the order in which the steps are performed.

[0022] It should be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0023] The terms “comprising” and “including” indicate the presence of the described feature, whole, step, operation, element and / or component, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or collections thereof.

[0024] The term “and / or” refers to any combination of one or more of the associated listed items, as well as all possible combinations, and includes these combinations.

[0025] Example 1: To make the objectives, technical solutions, and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with specific embodiments of the present application and with reference to the accompanying drawings.

[0026] To address the problems in existing technologies, this embodiment provides a method for selecting combined cycle power units based on two-part tariffs and carbon emissions, including the following steps: Obtain the annual dispatch curve of the combined cycle unit under peak shaving mode, as well as the electricity price and capacity price in the two-part tariff; Specifically, the annual dispatch curve for the combined cycle unit of a certain regional power system was obtained from the power grid dispatching department. This dispatch curve has a time step of 1 hour and a total of 8760 data points. The dispatch curve is represented as a peak-shaving depth function. ; In the formula: h is the hour number, with a value range of 1 to 8760; For scheduling curve functions; The peak-shaving depth of the combined cycle unit is calculated using the following function: ; In the formula: For the actual output of the unit; This is the rated output of the unit.

[0027] Simultaneously obtain two sets of electricity pricing documents, including electricity volume and price. The price is 0.49 yuan / kWh, which is the capacity electricity price. The price is 395 yuan / kW·year.

[0028] In addition, annual hydrological and meteorological data for the region were obtained, with a time step of one day, including daily temperature (T), atmospheric pressure (Pa), and relative humidity (RH), expressed as follows: ; ; ; In the formula: d is the date serial number, ranging from 1 to 365; , , These are the diurnal variation functions of air temperature, atmospheric pressure, and relative humidity, respectively.

[0029] The capacity range of candidate units is determined based on the scheduling curve, and the candidate units are determined based on the capacity range. The real-time gas consumption rate of each candidate unit under the corresponding operating condition of the scheduling curve is calculated based on the thermodynamic model. Based on the power output demand corresponding to the maximum peak shaving depth in the dispatch curve, the capacity range of the candidate units has been preliminarily determined to be 480MW~530MW. All candidate units are configured as a one-to-one system, namely one gas turbine, one waste heat boiler, and one steam turbine.

[0030] GT PRO gas turbine performance simulation software was used as the thermodynamic model. For each candidate unit, its corresponding dispatch power was input hourly. The simulation outputs the hourly gas consumption under the given date and temperature (T), air pressure (Pa), humidity (RH), natural gas composition, and calorific value. and plant power consumption rate Among them, real-time gas consumption rate The calculation formula is: ; The formula for calculating power supply is: ; In this embodiment, the calculation is performed once per hour, resulting in 8760 sets of gas consumption rate data.

[0031] Based on the real-time gas consumption rate and dispatch curve, calculate the total gas consumption and total power supply of each candidate unit during the annual peak-shaving operation. The total annual gas consumption of each candidate unit is obtained by summing up the 8760 sets of gas consumption rate data for the entire year: ; The total annual power supply data of all 8760 candidate generating units are summed to obtain the total annual power supply of each candidate generating unit. ; In the formula: The total annual gas consumption of candidate unit i; The total annual power supply of candidate unit i is given. The final technical parameters of candidate unit AD are shown in Table 1. Table 1 Technical parameters of candidate generator units (AD)

[0032] Using one candidate unit as a benchmark, calculate the incremental engineering investment of the remaining candidate units relative to the benchmark unit; In this embodiment, candidate unit D is selected as the benchmark unit. The incremental engineering investment of candidate unit AC relative to benchmark unit D is calculated.

[0033] Incremental engineering investment includes the following components: Main equipment cost discrepancies: Differences in the purchase prices of main equipment such as gas turbines, steam turbines, and waste heat boilers due to changes in capacity; Cost deviations of major systems: including cost differences in auxiliary systems such as thermal systems, cooling water systems, electrical systems, and control systems; Main plant cost deviation: Differences in civil engineering costs caused by changes in unit size and layout.

[0034] The formula for calculating incremental project investment is: ; In the formula: , and These are the deviations in main unit cost, main plant cost, and main system cost.

[0035] The incremental annual revenue of each non-benchmark candidate unit is calculated based on the two-part electricity price, total gas consumption, and total power supply. In this embodiment, the annual utilization hours of the generator set is 1796.9 hours. Based on the dispatch curve, the actual annual power generation hours (i.e., The price of natural gas delivered to the plant is derived from the number of hours (in hours). Yuan / Nm³.

[0036] The formula for calculating the incremental annual revenue of each non-benchmark candidate unit is as follows: ; In the formula: Let i be the annual revenue of candidate unit i relative to the benchmark unit D; , These represent the total annual power supply of candidate unit i and benchmark unit D, respectively. , These are the rated generating capacities of candidate unit i and reference unit D, respectively; , These represent the total annual gas consumption of candidate unit i and benchmark unit D, respectively.

[0037] The annual cost of incremental engineering for each non-benchmark candidate unit is calculated based on incremental engineering investment, average annual long-term contract price deviation, and carbon emission costs. In this embodiment, the formula for calculating the annual cost of incremental engineering is as follows: ; In the formula: The incremental annual engineering cost of candidate unit i relative to the baseline unit D; The incremental engineering investment for candidate unit i relative to the baseline unit D; The annual repair cost rate is 3.5% in this example; The average annual long-term contract price deviation of candidate unit i relative to the benchmark unit D is the difference in the long-term maintenance agreement price spread over each year. The annual carbon emission cost deviation of candidate unit i relative to the benchmark unit D is calculated using the following function: ; The carbon content of natural gas; The oxidation rate of natural gas is taken as 99%. , They are respectively And the relative molecular mass of C, in this embodiment , ; This refers to the carbon market price. The carbon content of natural gas can be calculated as follows: ; In the formula: LHV is the lower heating value of natural gas. The carbon content per unit calorific value of natural gas is taken as 15.32 t / TJ.

[0038] Calculate the annual profit of the incremental project based on the annual revenue and annual cost of the incremental project. In this embodiment, the annual profit of the incremental project is calculated as follows: ; In the formula: This represents the annual cost of incremental engineering projects.

[0039] The dynamic payback period for the incremental project investment is calculated based on the annual profit of the incremental project, and this period is compared with a preset threshold to determine the optimal solution.

[0040] In this embodiment, the discount rate is set to 8%, the preset payback period is y = 15 years, and the dynamic payback period is... The calculation method is as follows: Calculate the present value of the incremental project in year k: ; In the formula: k is the year sequence number; The cumulative discounted value of the k-th incremental project is: ; When the cumulative discounted value of incremental projects The year that turns from negative to positive is denoted as The dynamic payback period is calculated as follows: ; Determining the dynamic investment payback period of incremental projects Compared with the preset investment payback period By comparison, if the dynamic payback period of the incremental project is greater than the preset payback period, the scheme is not feasible, and the benchmark combined cycle unit is selected as the optimal scheme; if the dynamic payback period of the incremental project is less than the preset payback period, the combined cycle unit corresponding to the minimum dynamic payback period of the incremental project is selected as the optimal scheme.

[0041] In this embodiment, the final calculation results are shown in Table 2: Table 2 Calculation Results

[0042] According to Table 2, the dynamic payback period of Model A, Model B, and Model C is greater than the preset payback period of 15 years. Therefore, Model D gas turbine is selected as the optimal solution.

[0043] Example 2: This embodiment provides a combined cycle power unit selection system based on two-part tariffs and carbon emissions, including: The data acquisition module acquires the annual dispatch curve of the combined cycle unit under peak shaving mode, as well as the electricity price and capacity price in the two-part electricity price system. The gas consumption rate calculation module determines the capacity range of candidate units based on the scheduling curve, determines the candidate units based on the capacity range, and calculates the real-time gas consumption rate of each candidate unit under the corresponding operating conditions of the scheduling curve based on the thermodynamic model. The total gas consumption and total power supply calculation module calculates the total gas consumption and total power supply of each candidate unit during the year-round peak shaving operation based on the real-time gas consumption rate and scheduling curve. The incremental investment calculation module uses a candidate unit as a benchmark to calculate the incremental engineering investment of the remaining candidate units relative to the benchmark unit. The incremental annual revenue calculation module calculates the incremental project annual revenue of each non-benchmark candidate unit based on the two-part electricity price, total gas consumption, and total power supply. The incremental annual cost calculation module calculates the incremental annual cost of each non-benchmark candidate unit based on incremental project investment, average annual long-term contract price deviation, and carbon emission costs. The incremental annual profit calculation module calculates the annual profit of the incremental project based on the annual revenue and annual cost of the incremental project. The selection module calculates the dynamic payback period of the incremental project investment based on the annual profit of the incremental project, and compares the payback period with a preset threshold to determine the optimal solution.

[0044] Example 3: This embodiment proposes an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the combined cycle unit selection method based on two-part electricity pricing and carbon emissions as described in any embodiment of the present invention.

[0045] Example 4: This embodiment proposes a computer-readable storage medium storing a computer program that, when executed by a processor, implements the combined cycle unit selection method based on two-part electricity pricing and carbon emissions as described in any embodiment of the present invention.

[0046] In this application embodiment, "at least one" refers to one or more, and "more than one" refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent the existence of A alone, A and B simultaneously, or B alone. A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one of the following" and similar expressions refer to any combination of these items, including any combination of singular or plural items. For example, at least one of a, b, and c can represent: a, b, c, a and b, a and c, b and c, or a and b and c, where a, b, and c can be single or multiple.

[0047] Those skilled in the art will recognize that the units and algorithm steps described in the embodiments disclosed herein can be implemented using electronic hardware, computer software, or a combination of electronic hardware and software. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0048] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0049] In the several embodiments provided in this application, any function, if implemented as a software functional unit and sold or used as an independent product, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0050] The above description is merely an embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the content of the present invention's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A method for selecting combined cycle power units based on two-part tariffs and carbon emissions, characterized in that, Includes the following steps: Obtain the annual dispatch curve of the combined cycle unit under peak shaving mode, as well as the electricity price and capacity price in the two-part tariff; The capacity range of candidate units is determined based on the scheduling curve, and the candidate units are determined based on the capacity range. The real-time gas consumption rate of each candidate unit under the corresponding operating condition of the scheduling curve is calculated based on the thermodynamic model. Based on the real-time gas consumption rate and dispatch curve, calculate the total gas consumption and total power supply of each candidate unit during the annual peak-shaving operation. Using one candidate unit as a benchmark, calculate the incremental engineering investment of the remaining candidate units relative to the benchmark unit; The incremental annual revenue of each non-benchmark candidate unit is calculated based on the two-part electricity price, total gas consumption, and total power supply. The annual cost of incremental engineering for each non-benchmark candidate unit is calculated based on incremental engineering investment, average annual long-term contract price deviation, and carbon emission costs. Calculate the annual profit of the incremental project based on the annual revenue and annual cost of the incremental project. The dynamic payback period for the incremental project investment is calculated based on the annual profit of the incremental project, and this period is compared with a preset threshold to determine the optimal solution.

2. The method for selecting combined cycle power units based on two-part tariffs and carbon emissions according to claim 1, characterized in that: The annual scheduling curve, with an hourly time step, is represented as a peak-shaving depth function: ； In the formula: h is the hour number; For scheduling curve functions; The peak-shaving depth of the combined cycle unit is calculated using the following function: ； In the formula: For the actual output of the unit; This is the rated output of the unit.

3. The method for selecting combined cycle power units based on two-part tariffs and carbon emissions according to claim 1, characterized in that: The thermodynamic model is implemented using gas turbine performance simulation software. By inputting natural gas composition, the ambient temperature and atmospheric pressure parameters of each candidate unit at different dispatch power and corresponding times, the model outputs hourly gas consumption, power generation and plant power consumption rate under each operating condition, and then calculates the real-time gas consumption rate.

4. The method for selecting combined cycle power units based on two-part tariffs and carbon emissions according to claim 1, characterized in that: The incremental engineering investment includes deviations in the cost of the main equipment, the cost of the main systems, and the cost of the main plant.

5. The method for selecting combined cycle power units based on two-part tariffs and carbon emissions according to claim 1, characterized in that: The function for calculating the annual revenue of the incremental project is as follows: ； In the formula: Let i be the annual revenue of candidate unit i relative to the benchmark unit D; , These represent the total annual power supply of candidate unit i and benchmark unit D, respectively. , These are the rated generating capacities of candidate unit i and reference unit D, respectively; , These represent the total annual gas consumption of candidate unit i and benchmark unit D, respectively. Electricity price based on electricity volume; It is a capacity-based electricity price; This refers to the price of natural gas delivered to the plant.

6. The method for selecting combined cycle power units based on two-part tariffs and carbon emissions according to claim 5, characterized in that: The function for calculating the annual cost of the incremental project is: ； In the formula: The incremental annual engineering cost of candidate unit i relative to the baseline unit D; The incremental engineering investment for candidate unit i relative to the baseline unit D; Annual repair cost rate; The average annual long-term contract price deviation of candidate unit i relative to the benchmark unit D; The annual carbon emission cost deviation of candidate unit i relative to the benchmark unit D is calculated using the following function: ； In the formula: The carbon content of natural gas; The oxidation rate of natural gas; , They are respectively And the relative molecular mass of C; For carbon market prices.

7. The method for selecting combined cycle power units based on two-part tariffs and carbon emissions according to claim 1, characterized in that: The method for determining the dynamic investment payback period is as follows: set a discount rate, calculate the present value of the profit generated by the incremental project investment each year, and the year corresponding to when the cumulative present value turns from negative to positive is the dynamic investment payback period.

8. A combined cycle power unit selection system based on two-part tariffs and carbon emissions, characterized in that, include: The data acquisition module acquires the annual dispatch curve of the combined cycle unit under peak shaving mode, as well as the electricity price and capacity price in the two-part electricity price system. The gas consumption rate calculation module determines the capacity range of candidate units based on the scheduling curve, determines the candidate units based on the capacity range, and calculates the real-time gas consumption rate of each candidate unit under the corresponding operating conditions of the scheduling curve based on the thermodynamic model. The total gas consumption and total power supply calculation module calculates the total gas consumption and total power supply of each candidate unit during the year-round peak shaving operation based on the real-time gas consumption rate and scheduling curve. The incremental investment calculation module uses a candidate unit as a benchmark to calculate the incremental engineering investment of the remaining candidate units relative to the benchmark unit. The incremental annual revenue calculation module calculates the incremental project annual revenue of each non-benchmark candidate unit based on the two-part electricity price, total gas consumption, and total power supply. The incremental annual cost calculation module calculates the incremental annual cost of each non-benchmark candidate unit based on incremental project investment, average annual long-term contract price deviation, and carbon emission costs. The incremental annual profit calculation module calculates the annual profit of the incremental project based on the annual revenue and annual cost of the incremental project. The selection module calculates the dynamic payback period of the incremental project investment based on the annual profit of the incremental project, and compares the payback period with a preset threshold to determine the optimal solution.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the combined cycle unit selection method based on two-part electricity pricing and carbon emissions as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the combined cycle unit selection method based on two-part electricity pricing and carbon emissions as described in any one of claims 1 to 7.

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