Carbon emission reduction treatment method and device of power system and electronic equipment

Abstract

The invention discloses a carbon emission reduction treatment method and device for an electric power system and electronic equipment. The method comprises the following steps: acquiring multiple coal-fired units included in a power system in a target area, historical operation data corresponding to the multiple coal-fired units, and equipment data corresponding to the multiple coal-fired units; historical carbon emission reduction strategies corresponding to the multiple coal-fired units are determined, and the historical carbon emission reduction strategies comprise carbon emission reduction technologies adopted by the corresponding coal-fired units and historical carbon emission reduction technology input information; on the basis of the historical operation data, the equipment data and the historical carbon emission reduction strategies corresponding to the multiple coal-fired units, carbon emission reduction evaluation models corresponding to the multiple coal-fired units are obtained; and based on the carbon emission reduction evaluation models corresponding to the various coal-fired units, determining a carbon emission reduction adjustment strategy of the power system in the target area. The technical problem of poor carbon emission reduction strategy applicability caused by inaccurate evaluation of carbon emission reduction of the coal-fired unit in the power system is solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of carbon emission reduction, in particular to a carbon emission reduction processing method and device of a power system and an electronic device. BACKGROUND

[0002] In the operation of the power system, especially in the scenario involving coal-fired units, the accuracy of carbon emission reduction evaluation is crucial for formulating effective emission reduction strategies. However, current evaluation methods are often limited by single dimension of data and isolated analysis of cases, failing to fully explore and quantify the unique potential and cost of different coal-fired units in the application of carbon emission reduction technologies. Traditional carbon emission reduction evaluation may be based only on technical manuals or theoretical models, ignoring the complex interactive effects under actual operating data and equipment-specific conditions, resulting in deviations between evaluation results and reality, thereby affecting the pertinence of carbon emission reduction strategies.

[0003] Due to the diversity of technical parameters, operating states, equipment configurations, etc. of coal-fired units, their carbon emission reduction effects and economic efficiency also show significant differences. For example, the same carbon emission reduction technology may have different unit carbon emission reduction costs when applied to units of different installed capacities; for another example, the operating efficiency and equipment aging degree of the unit also affect the implementation effect and economic feasibility of the emission reduction technology. However, existing evaluation systems often fail to fully consider these differentiated factors, resulting in extensive emission reduction evaluation and limiting the fine formulation of emission reduction strategies.

[0004] Therefore, the carbon emission reduction evaluation of coal-fired units in the power system faces the dual challenges of "data fragmentation" and "case isolation", which further leads to inaccurate carbon emission reduction evaluation of coal-fired units in the power system, and further causes technical problems such as poor applicability and pertinence of carbon emission reduction strategies.

[0005] In view of the above problems, no effective solutions have been proposed so far. SUMMARY

[0006] The embodiments of the present application provide a carbon emission reduction processing method, device and electronic device of a power system, to at least solve the technical problem of poor applicability of carbon emission reduction strategies caused by inaccurate carbon emission reduction evaluation of coal-fired units in the power system.

[0007] According to an aspect of some embodiments of the present application, there is provided a method for carbon emission reduction processing of a power system, comprising: obtaining a plurality of coal-fired units included in a power system in a target region, historical operation data corresponding to each of the plurality of coal-fired units, and equipment data corresponding to each of the plurality of coal-fired units; determining historical carbon emission reduction strategies corresponding to each of the plurality of coal-fired units, wherein the historical carbon emission reduction strategies comprise carbon emission reduction technologies adopted by the corresponding coal-fired units, and historical carbon emission reduction technology investment information; obtaining, based on the historical operation data, the equipment data, and the historical carbon emission reduction strategies corresponding to each of the plurality of coal-fired units, a carbon emission reduction evaluation model corresponding to each of the plurality of coal-fired units, wherein the carbon emission reduction evaluation model is used to indicate a relationship between cumulative carbon emission reduction amount and unit carbon emission reduction cost of the corresponding coal-fired unit after the carbon emission reduction strategy is applied to the corresponding coal-fired unit; and determining, based on the carbon emission reduction evaluation model corresponding to each of the plurality of coal-fired units, a carbon emission reduction adjustment strategy of the power system in the target region.

[0008] According to another aspect of some embodiments of the present application, there is also provided a device for carbon emission reduction processing of a power system, comprising: a data obtaining module configured to obtain a plurality of coal-fired units included in a power system in a target region, historical operation data corresponding to each of the plurality of coal-fired units, and equipment data corresponding to each of the plurality of coal-fired units; a strategy determining module configured to determine historical carbon emission reduction strategies corresponding to each of the plurality of coal-fired units, wherein the historical carbon emission reduction strategies comprise carbon emission reduction technologies adopted by the corresponding coal-fired units, and historical carbon emission reduction technology investment information; a model obtaining module configured to obtain, based on the historical operation data, the equipment data, and the historical carbon emission reduction strategies corresponding to each of the plurality of coal-fired units, a carbon emission reduction evaluation model corresponding to each of the plurality of coal-fired units, wherein the carbon emission reduction evaluation model is used to indicate a relationship between cumulative carbon emission reduction amount and unit carbon emission reduction cost of the corresponding coal-fired unit after the carbon emission reduction strategy is applied to the corresponding coal-fired unit; and a strategy adjustment module configured to determine, based on the carbon emission reduction evaluation model corresponding to each of the plurality of coal-fired units, a carbon emission reduction adjustment strategy of the power system in the target region.

[0009] According to another aspect of some embodiments of the present application, there is also provided a non-transitory storage medium storing a plurality of instructions, the instructions being adapted to be loaded and executed by a processor to implement any of the methods for carbon emission reduction processing of a power system.

[0010] According to another aspect of some embodiments of the present application, there is also provided an electronic device comprising one or more processors and a memory, the memory being configured to store one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to implement any of the methods for carbon emission reduction processing of a power system.

[0011] According to another aspect of the embodiments of the present application, there is also provided a computer program product comprising a computer program which, when executed by a processor, implements the steps of any of the carbon emission reduction processing methods of the power system.

[0012] In the embodiments of the present application, by obtaining a plurality of coal-fired units included in the power system in the target region, historical operation data corresponding to each of the plurality of coal-fired units, and equipment data corresponding to each of the plurality of coal-fired units; determining a historical carbon emission reduction strategy corresponding to each of the plurality of coal-fired units, wherein the historical carbon emission reduction strategy includes a carbon emission reduction technology adopted for the corresponding coal-fired unit, and historical carbon emission reduction technology investment information; based on the historical operation data, the equipment data, and the historical carbon emission reduction strategy corresponding to each of the plurality of coal-fired units, obtaining a carbon emission reduction evaluation model corresponding to each of the plurality of coal-fired units, wherein the carbon emission reduction evaluation model is used to indicate the relationship between the cumulative carbon emission reduction amount and the unit carbon emission reduction cost of the corresponding coal-fired unit after the carbon emission reduction strategy is applied to the corresponding coal-fired unit; based on the carbon emission reduction evaluation model corresponding to each of the plurality of coal-fired units, determining a carbon emission reduction adjustment strategy of the power system in the target region, so as to achieve the purpose of collecting historical operation data, equipment data, and carbon emission reduction case information (i.e. historical carbon emission reduction strategy) of the coal-fired unit, constructing a carbon emission reduction evaluation model corresponding to each of the coal-fired units, and then realizing quantitative analysis of the cumulative carbon emission reduction amount and the unit carbon emission reduction cost of the coal-fired unit after the carbon emission reduction technology is applied, and flexibly adjusting the carbon emission reduction adjustment strategy of the power system in a targeted manner, thereby realizing the technical effect of improving the carbon emission reduction evaluation accuracy of the coal-fired unit in the power system, and implementing more accurate carbon emission reduction measures for the regional power system, and further solving the technical problem of poor applicability of the carbon emission reduction strategy caused by inaccurate carbon emission reduction evaluation of the coal-fired unit in the power system. BRIEF DESCRIPTION OF DRAWINGS

[0013] The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and together with the description serve to explain the application. In the drawings:

[0014] Figure 1 is a flowchart of a carbon emission reduction processing method of a power system according to an embodiment of the present application;

[0015] Figure 2 is a schematic diagram of a carbon emission reduction processing device of a power system according to an embodiment of the present application. DETAILED DESCRIPTION

[0016] In the following, the technical solutions in the embodiments of the present application will be described clearly and completely with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all the other embodiments obtained by a person of ordinary skill in the art without creative effort should belong to the scope of the present application.

[0017] It should be noted that the terms "first", "second" and the like in the description and claims of the present application and the above drawings are used to distinguish similar objects, and do not necessarily indicate a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in other than the order illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device that includes a list of steps or units need not be limited to those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to such processes, methods, products or devices.

[0018] First, for the convenience of understanding the embodiments of the present application, the following will explain some terms or nouns involved in the present application:

[0019] Ultra-supercritical (Ultra-supercritical) is a working state of a thermal power generating unit (especially coal-fired power generation), which is far beyond the conventional subcritical (Subcritical) and supercritical (Supercritical) state in terms of steam temperature and pressure.

[0020] According to the embodiments of the present application, a method embodiment of carbon emission reduction processing of a power system is provided. It should be noted that the steps shown in the flowchart of the drawings can be executed in a computer system such as a set of computer executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described herein can be executed in a different order.

[0021] Figure 1 is a flowchart of a method of carbon emission reduction processing of a power system according to the embodiments of the present application, as Figure 1 shown, the method comprises the following steps:

[0022] Step S102, obtaining a plurality of coal-fired generating units included in a power system in a target area, historical operation data corresponding to each of the plurality of coal-fired generating units, and equipment data corresponding to each of the plurality of coal-fired generating units;

[0023] Optionally, the historical operation data and equipment data of each coal-fired unit can be obtained from a pre-constructed unit-level coal power information database. The database contains a series of data of the coal-fired unit, such as geographic coordinates, nameplate capacity, utilization hours, power supply coal consumption, power generation, auxiliary power consumption rate, commissioning time, and the like. The data can be obtained from, but not limited to, a coal-fired power plant tracking database, a power enterprise association unit energy efficiency benchmarking data, and an annual report of a power plant enterprise and related enterprises. The main elements of the unit-level information database and their data sources are shown in Table 1.

[0024] Table 1 Main elements of the unit-level information database and their data sources

[0025]

[0026] In step S104, a historical carbon emission reduction strategy corresponding to each of the plurality of coal-fired units is determined, wherein the historical carbon emission reduction strategy includes a carbon emission reduction technology adopted by the corresponding coal-fired unit and historical carbon emission reduction technology input information.

[0027] Optionally, the historical carbon emission reduction strategy of each coal-fired unit can be obtained from a pre-constructed coal-fired unit carbon emission reduction technology case database. Each coal-fired unit carbon emission reduction technology case in the database can be regarded as a historical carbon emission reduction strategy. Each coal-fired unit carbon emission reduction technology case (i.e., each historical carbon emission reduction strategy) in the database includes a carbon emission reduction technology adopted by the corresponding coal-fired unit and a series of data of the carbon emission reduction technology, such as the promotion degree of the technology, the unit capacity investment cost of the technology, the unit operation and maintenance cost, and the technical transformation life. The carbon emission reduction technology can be, but is not limited to, low-carbon / zero-carbon fuel blending technology, coal-efficient power generation technology, energy-saving and efficiency-improving technology, and coal power coupled CCS technology. The classification of the coal-fired unit carbon emission reduction technology is shown in Table 2.

[0028] Table 2 Classification table of coal-fired unit carbon emission reduction technology

[0029]

[0030] In step S106, based on the historical operation data, equipment data, and historical carbon emission reduction strategy corresponding to each of the plurality of coal-fired units, a carbon emission reduction evaluation model corresponding to each of the plurality of coal-fired units is obtained, wherein the carbon emission reduction evaluation model is used to indicate the relationship between the cumulative carbon emission reduction amount and the unit carbon emission reduction cost of the corresponding coal-fired unit after the carbon emission reduction strategy is applied to the corresponding coal-fired unit.

[0031] Optionally, first, historical operation data of each coal-fired unit in the target area is collected and analyzed, including but not limited to the utilization hours of the unit, the coal consumption for power supply, the auxiliary power rate, the power generation, etc. The historical operation data can reflect the performance changes and carbon emission characteristics of each unit under actual operating conditions, and provide key empirical evidence for the subsequent construction of the evaluation model. Then, the equipment data of each coal-fired unit is integrated, such as the installed capacity, etc. The equipment data helps to deeply understand the physical characteristics and technical parameters of the unit itself, and provides detailed information for evaluating the technical applicability and transformation cost. The carbon emission reduction technologies implemented in the past by each coal-fired unit and the corresponding investment information are collected and analyzed, including the promotion degree of carbon emission reduction technology, the unit capacity investment cost of carbon emission reduction technology, the unit operation and maintenance cost, the technical transformation life, etc. The data of historical carbon emission reduction strategies can reveal the emission reduction potential of a specific technology in actual application, and provide case support for the construction of the model. Using the integrated data described above, a comprehensive evaluation model is established, which can quantify the relationship between the cumulative carbon emission reduction amount (environmental benefit) of a coal-fired unit and the unit carbon emission reduction cost after the application of a carbon emission reduction strategy (i.e. a specific carbon emission reduction technology) to the unit. The construction of the model can be but not limited to using statistical analysis, machine learning algorithm, etc. to ensure the accuracy and reliability of the evaluation results.

[0032] The construction of the carbon emission reduction evaluation model in this embodiment aims to realize the accurate evaluation of the carbon emission reduction potential and cost of the coal-fired unit by comprehensively analyzing the historical operation data, equipment data and historical carbon emission reduction strategies, and to provide scientific basis for the subsequent carbon emission reduction adjustment strategies. This method overcomes the problems of data fragmentation and case isolation in the previous evaluation methods, and can give customized carbon emission reduction strategy suggestions for different characteristics of coal-fired units, effectively improving the overall carbon emission reduction efficiency of the power system.

[0033] In an optional embodiment, in the case that the historical operation data includes first historical operation data before the corresponding carbon emission reduction strategy is taken and second historical operation data after the corresponding carbon emission reduction strategy is taken, based on the respective historical operation data, equipment data and historical carbon emission reduction strategies of the plurality of coal-fired generating units, a respective carbon emission reduction evaluation model of the plurality of coal-fired generating units is obtained, including: obtaining a plurality of historical carbon emission reduction strategies corresponding to any coal-fired generating unit, and determining second historical operation data corresponding to each of the plurality of historical carbon emission reduction strategies; based on the first historical operation data and the equipment data of any coal-fired generating unit, the second historical operation data and the historical carbon emission reduction technology investment information corresponding to each of the plurality of historical carbon emission reduction strategies, determining the cumulative carbon emission reduction amount corresponding to each of the plurality of historical carbon emission reduction strategies, and the unit carbon emission reduction cost corresponding to each of the plurality of historical carbon emission reduction strategies; based on the cumulative carbon emission reduction amount and the unit carbon emission reduction cost corresponding to each of the plurality of historical carbon emission reduction strategies, obtaining the carbon emission reduction evaluation model corresponding to any coal-fired generating unit; and obtaining the respective carbon emission reduction evaluation model of the plurality of coal-fired generating units in the manner of obtaining the carbon emission reduction evaluation model corresponding to any coal-fired generating unit.

[0034] Optionally, first, for any coal-fired generating unit, a plurality of carbon emission reduction strategy cases implemented in its history are collected, including carbon emission reduction technologies taken by each unit, and technical investment information such as popularization degree of carbon emission reduction technologies, unit capacity investment cost of carbon emission reduction technologies, unit operation and maintenance cost, technical modification life, etc. At the same time, second historical operation data corresponding to these strategies is determined, i.e. operation data of the unit after the strategies are implemented, which reflects actual operation state and carbon emission change after the strategies are implemented. The first historical operation data (i.e. operation data before the carbon emission reduction strategies are taken) and the equipment data are compared and analyzed with the second historical operation data (operation data after the carbon emission reduction strategies are taken), and the cumulative carbon emission reduction amount after each historical carbon emission reduction strategy is implemented on the coal-fired generating unit is calculated. The cumulative carbon emission reduction amount is the carbon emission reduction amount relative to the case where the strategy is not implemented after the strategy is implemented, and is a direct embodiment of environmental benefits. The unit carbon emission reduction cost of each historical carbon emission reduction strategy can be calculated in combination with the technical investment information of the historical carbon emission reduction technologies. The unit carbon emission reduction cost can reflect the economic cost required to reduce each unit of carbon dioxide emission by taking the strategy, and is a key indicator for evaluating economic benefits. The cumulative carbon emission reduction amount and the unit carbon emission reduction cost are combined to construct the carbon emission reduction evaluation model of the coal-fired generating unit. The model is constructed to establish the quantitative relationship between the environmental benefits and economic benefits of the carbon emission reduction strategy, so as to facilitate the subsequent optimization selection of the strategy. The process of constructing the carbon emission reduction evaluation model is applied to all coal-fired generating units in the target region, and finally a set containing the respective carbon emission reduction evaluation models of each coal-fired generating unit is obtained. This set provides a comprehensive analysis perspective and quantitative decision basis for the carbon emission reduction strategy making at the power system level.

[0035] By the above method, the limitations of traditional evaluation methods, which are based on theoretical prediction or single-dimensional data, can be effectively avoided, providing more accurate carbon emission reduction strategy evaluation, supporting comparison and optimization selection among different coal-fired units, and providing scientific guidance for low-carbon transformation of regional power systems.

[0036] In an optional embodiment, in the device data at least includes the installed capacity information of the coal-fired unit, the first historical operation data at least includes the original levelized LCOE of the coal-fired unit, and the original carbon emission of the unit, the second historical operation data at least includes the change value of the coal consumption after the corresponding carbon emission reduction strategy is applied to the coal-fired unit, the unit carbon emission reduction cost and the levelized LCOE, and based on the cumulative carbon emission reduction amount corresponding to each of the plurality of historical carbon emission reduction strategies and the unit carbon emission reduction cost corresponding to each of the plurality of historical carbon emission reduction strategies, a carbon emission reduction evaluation model corresponding to any coal-fired unit is obtained, including: obtaining the cumulative carbon emission reduction amount and the unit carbon emission reduction cost corresponding to any historical carbon emission reduction strategy in the plurality of historical carbon emission reduction strategies by the following method: based on the installed capacity information of any coal-fired unit and the change value of the coal consumption after any historical carbon emission reduction strategy is applied to the coal-fired unit, the historical carbon emission reduction potential corresponding to any historical carbon emission reduction strategy is determined; based on the historical carbon emission reduction technology investment information in any historical carbon emission reduction strategy, the historical carbon emission reduction potential corresponding to any historical carbon emission reduction strategy, and the first historical operation data of any coal-fired unit, the cumulative carbon emission reduction amount and the unit carbon emission reduction cost corresponding to any historical carbon emission reduction strategy are obtained; the cumulative carbon emission reduction amount corresponding to each of the plurality of historical carbon emission reduction strategies and the unit carbon emission reduction cost corresponding to each of the plurality of historical carbon emission reduction strategies are obtained by the method of obtaining the cumulative carbon emission reduction amount and the unit carbon emission reduction cost corresponding to any historical carbon emission reduction strategy.

[0037] Optionally, first, based on the installed capacity information of the coal-fired generating unit (i.e., its power generation capacity) and the change in power supply coal consumption after the application of any historical carbon emission reduction strategy at the coal-fired generating unit (i.e., the change in the amount of coal required per kilowatt-hour), the historical carbon emission reduction potential corresponding to the historical carbon emission reduction strategy is calculated. Here, the historical carbon emission reduction potential refers to the maximum carbon emission reduction effect that can be achieved after implementing a specific carbon emission reduction strategy under a given installed capacity. Then, combined with the investment information of the historical carbon emission reduction technology (i.e., the transformation cost), the historical carbon emission reduction potential (as calculated in the previous step), and the first historical operation data (i.e., the original normalized electricity cost and the original electricity carbon emission before the carbon emission reduction strategy is taken), the cumulative carbon emission reduction amount (i.e., the total carbon dioxide emission reduction amount after the strategy is implemented compared to before the strategy is implemented) and the unit carbon emission reduction cost (i.e., the economic cost required to achieve unit carbon dioxide emission reduction) corresponding to any historical carbon emission reduction strategy are determined through comprehensive analysis and calculation. The cumulative carbon emission reduction amount and the unit carbon emission reduction cost are calculated using the above method, and the cumulative carbon emission reduction amount and the unit carbon emission reduction cost of each strategy are obtained. These data become the basis for building the coal-fired generating unit carbon emission reduction evaluation model, and the model can intuitively show the relationship between the emission reduction effect and the cost of different strategies, providing quantitative decision-making basis for the selection of carbon emission reduction technology and the optimization of strategies for coal-fired generating units.

[0038] Through the above method, it can be ensured that the construction of the carbon emission reduction evaluation model is not only based on the changes in historical operation data, but also fully considers the installed capacity, transformation cost, and actual emission reduction effect of each coal-fired generating unit, making the evaluation results more comprehensive and accurate, and reflecting the actual application effect of carbon emission reduction technology. This detailed evaluation process can improve the scientificity and rationality of decision-making in formulating carbon emission reduction strategies, and help the power system to achieve the maximum carbon emission reduction effect with the minimum cost, accelerating the low-carbon transformation of the power industry.

[0039] Optionally, the comprehensive data provided by the coal-fired generating unit operation information database and the coal-fired generating unit carbon emission reduction technology case database can be used to organize key parameters such as unit capacity (CAP), unit utilization hours (UUH), unit coal consumption rate (γ), and unit auxiliary power consumption rate (Spcr), and to obtain the unit capacity investment cost of any historical carbon emission reduction strategy technology Ti on the unit Uj and the unit operation and maintenance cost change

[0040]

[0041]

[0042] In the formula: Ci,j is the unit capacity investment cost of technology Ti on unit class Uj (i.e. any coal-fired unit), where unit class Uj is any of the multiple coal-fired units; Ci,j is the unit capacity investment cost of technology Ti on unit class Uj (i.e. any coal-fired unit), where unit class Uj is any of the multiple coal-fired units; Ci,j is the unit capacity investment cost of technology Ti on unit class Uj (i.e. any coal-fired unit), where unit class Uj is any of the multiple coal-fired units; Ci,j is the unit capacity investment cost of technology Ti on unit class Uj (i.e. any coal-fired unit), where unit class Uj is any of the multiple coal-fired units; Ci,j is the unit capacity investment cost of technology Ti on unit class Uj (i.e. any coal-fired unit), where unit class Uj is any of the multiple coal-fired units.

[0043] Carbon emission reduction potential Ci,j is the unit capacity investment cost of technology Ti on unit class Uj (i.e. any coal-fired unit), where unit class Uj is any of the multiple coal-fired units;

[0044]

[0045]

[0046] Ci,j is the unit capacity investment cost of technology Ti on unit class Uj (i.e. any coal-fired unit), where unit class Uj is any of the multiple coal-fired units. Ci,j is the unit capacity investment cost of technology Ti on unit class Uj (i.e. any coal-fired unit), where unit class Uj is any of the multiple coal-fired units; Ci,j is the unit capacity investment cost of technology Ti on unit class Uj (i.e. any coal-fired unit), where unit class Uj is any of the multiple coal-fired units; Ci,j is the unit capacity investment cost of technology Ti on unit class Uj (i.e. any coal-fired unit), where unit class Uj is any of the multiple coal-fired units; Ci,j is the unit capacity investment cost of technology Ti on unit class Uj (i.e. any coal-fired unit), where unit class Uj is any of the multiple coal-fired units; Ci,j is the unit capacity investment cost of technology Ti on unit class Uj (i.e. any coal-fired unit), where unit class Uj is any of the multiple coal-fired units; Ci,j is the unit capacity investment cost of technology Ti on unit class Uj (i.e. any coal-fired unit), where unit class Uj is any of the multiple coal-fired units.

[0047] The coal-fired unit that has undergone carbon emission reduction technology modification can be compared with the coal-fired unit that has not undergone carbon emission reduction technology modification, so as to calculate the cost of reducing 1 ton of CO2 emission of the unit (i.e. unit carbon emission reduction cost), which is specifically shown in formula (5). Due to the complexity of unit data, the calculation of carbon emission reduction potential and carbon emission reduction cost of the technology is simplified in this embodiment. The assumptions for calculating the carbon emission reduction potential are as follows: 1) the carbon emission reduction effect of each technology is independent and does not affect each other, and the power supply capacity does not change before and after the unit modification. 2) the basic operation parameters (power supply coal consumption, utilization time, etc.) of each type of unit remain unchanged in a predetermined historical period, and the predetermined historical period is a period of a predetermined length before the current time; and the annual power supply capacity remains unchanged after the unit is modified for energy saving and efficiency improvement. 3) The calculation does not consider the early retirement of the unit or potential technological breakthroughs. 4) It is assumed that all technologies can be applied at a scale of 100%. The specific implementation manner is as follows:

[0048]

[0049]

[0050]

[0051]

[0052]

[0053] In the formula: The unit carbon reduction cost represents the application of technology Ti from any historical carbon reduction strategy to unit type Uj. The levelized cost of electricity (LCOE) after applying any historical carbon reduction strategy to the unit type Uj; The original levelized cost of electricity (LCOE) for unit type Uj; The original carbon emissions per kilowatt-hour of the unit type Uj; The carbon emissions per kilowatt-hour after applying Ti technology to the Uj type of generating unit; The unit capacity investment cost for unit type Uj; The annual unit maintenance cost for unit type Uj; Let r be the annual variable cost of unit type Uj; r is the discount rate (for example, r can be 0.03 to 0.15).

[0054] In one optional embodiment, a carbon emission reduction assessment model for any coal-fired power unit is obtained based on the cumulative carbon emission reduction corresponding to each of multiple historical carbon emission reduction strategies and the unit carbon emission reduction cost corresponding to each of the multiple historical carbon emission reduction strategies. This includes: acquiring multiple preset carbon emission reduction strategies for any coal-fired power unit, wherein the preset carbon emission reduction strategies include the carbon emission reduction technologies adopted by the coal-fired power unit and the preset carbon emission reduction technology input information; determining the cumulative carbon emission reduction corresponding to each of the multiple preset carbon emission reduction strategies and the unit carbon emission reduction cost corresponding to each of the multiple preset carbon emission reduction strategies based on the multiple preset carbon emission reduction strategies and the first historical operating data of the coal-fired power unit; and obtaining a carbon emission reduction assessment model for any coal-fired power unit based on the cumulative carbon emission reduction and unit carbon emission reduction cost corresponding to each of the multiple historical carbon emission reduction strategies and the cumulative carbon emission reduction and unit carbon emission reduction cost corresponding to each of the multiple preset carbon emission reduction strategies.

[0055] Optionally, while collecting data on multiple implemented historical carbon reduction strategies, a "pre-defined carbon reduction strategy" can be further obtained for each coal-fired unit. This pre-defined strategy encompasses planned or considered carbon reduction technologies, along with preliminary investment and cost estimates for these technologies. This step provides an analytical framework for carbon reduction technologies not yet implemented, enabling the assessment model to proactively evaluate future carbon reduction potential and costs. Based on the unit's initial historical operating data (i.e., operating data before adopting carbon reduction strategies), combined with the technical information and cost estimates of the pre-defined carbon reduction strategies, the cumulative carbon reduction and unit carbon reduction cost corresponding to each strategy are calculated. After obtaining the cumulative carbon reduction and unit carbon reduction cost for both historical and pre-defined carbon reduction strategies, this data is integrated into the assessment model. The carbon reduction assessment model not only reflects the analysis of historical data but also considers the potential effects of future technologies, thus providing a more comprehensive and forward-looking decision support tool. Ultimately, the resulting carbon emission reduction assessment model for any coal-fired power unit can not only evaluate the implementation effects of existing carbon emission reduction strategies but also predict the potential impact of future technology applications. The carbon emission reduction assessment model obtained through this method is based on richer data and considers more comprehensive factors, helping to formulate or adjust carbon emission reduction strategies by comprehensively considering the verification of historical data and the expectations of future technologies, thus developing a more reasonable and effective carbon reduction path.

[0056] In one optional embodiment, based on multiple preset carbon emission reduction strategies and first historical operating data of any coal-fired power unit, the cumulative carbon emission reduction corresponding to each of the multiple preset carbon emission reduction strategies is determined, including: based on the multiple preset carbon emission reduction strategies and the first historical operating data of any coal-fired power unit, using a pre-built carbon emission reduction potential prediction model, to obtain the predicted carbon emission reduction potential corresponding to each of the multiple preset carbon emission reduction strategies, wherein the predicted carbon emission reduction potential is used to indicate the carbon emission reduction potential of any coal-fired power unit after adopting the corresponding preset carbon emission reduction strategy; the carbon emission reduction potential prediction model is obtained through machine learning based on the first historical operating data of any coal-fired power unit, the second historical operating data corresponding to each of the multiple historical carbon emission reduction strategies, and the historical carbon emission reduction potential corresponding to each of the multiple historical carbon emission reduction strategies; based on the predicted carbon emission reduction potential corresponding to each of the multiple preset carbon emission reduction strategies, the cumulative carbon emission reduction corresponding to each of the multiple preset carbon emission reduction strategies and the unit carbon emission reduction cost corresponding to each of the multiple preset carbon emission reduction strategies are obtained.

[0057] Optionally, first, based on the first historical operation data of any coal-fired unit (i.e. data before the carbon emission reduction strategy is adopted), the second historical operation data corresponding to each of the plurality of historical carbon emission reduction strategies (i.e. data after the strategy is adopted), and the historical carbon emission reduction potential (i.e. actual emission reduction effect), a carbon emission reduction potential prediction model is constructed through a machine learning algorithm (such as a neural network). This model can predict the potential emission reduction effect after adopting a preset carbon emission reduction strategy in the future according to the operation data of the unit and the effect of the historical carbon emission reduction strategy. The above-mentioned carbon emission reduction potential prediction model is used to predict the plurality of preset carbon emission reduction strategies adopted by any coal-fired unit, and the predicted carbon emission reduction potential of each preset strategy is obtained. The predicted carbon emission reduction potential indicates the carbon emission reduction potential that the coal-fired unit can theoretically achieve if the preset carbon emission reduction strategy is implemented. Based on the predicted carbon emission reduction potential, combined with the input cost information of the preset carbon emission reduction strategy, the cumulative carbon emission reduction amount and the unit carbon emission reduction cost corresponding to each preset strategy are calculated. The specific calculation method of the cumulative carbon emission reduction amount and the unit carbon emission reduction cost corresponding to each preset carbon emission reduction strategy is the same as that of the cumulative carbon emission reduction amount and the unit carbon emission reduction cost corresponding to the historical carbon emission reduction strategy, which will not be described here. The cumulative carbon emission reduction amount reflects the total emission reduction effect after the implementation of the preset strategy, and the unit carbon emission reduction cost measures the cost of achieving each unit of carbon emission reduction.

[0058] The above method uses machine learning technology to predict the carbon emission reduction potential of the preset carbon emission reduction strategy based on historical data, which can provide a scientific basis for the selection of carbon emission reduction strategies for coal-fired units. Compared with relying only on historical data or theoretical models, this method can more accurately predict the environmental and economic benefits of future strategies, helping decision-makers choose the optimal carbon emission reduction path under limited resources to achieve the dual goals of economy and environment for the power system. In addition, this method also provides strong data support and prediction ability for the continuous optimization of carbon emission reduction technologies and the long-term planning of the low-carbon transformation of the power system.

[0059] Step S108, based on the carbon emission reduction evaluation model corresponding to each of the plurality of coal-fired units, determine the carbon emission reduction adjustment strategy of the power system in the target region.

[0060] Optionally, the carbon emission reduction evaluation models of each coal-fired unit are analyzed comprehensively, and the emission reduction effect and cost of different technologies on each unit are compared. This analysis can directly show which technology or carbon emission reduction strategy is more suitable for which type of unit, and which technology or carbon emission reduction strategy has good emission reduction effect but high cost and is not suitable for large-scale promotion, thereby effectively improving the efficiency of carbon emission reduction. The carbon emission reduction strategy is used to adjust the composition of the carbon emission reduction technology of the target region, which can include but is not limited to the investment combination of the carbon emission reduction technology of each coal-fired unit.

[0061] In an optional embodiment, based on the respective carbon emission reduction evaluation models of the plurality of coal-fired units, the carbon emission reduction adjustment strategy of the power system in the target region is determined, including: obtaining the target carbon emission reduction strategy corresponding to any of the plurality of coal-fired units by the following method: determining the minimum unit carbon emission reduction cost and the corresponding cumulative carbon emission from the carbon emission reduction evaluation model corresponding to any of the plurality of coal-fired units; determining the carbon emission reduction strategy adopted when the minimum unit carbon emission reduction cost and the corresponding cumulative carbon emission are achieved as the target carbon emission reduction strategy corresponding to any of the plurality of coal-fired units; obtaining the target carbon emission reduction strategy corresponding to each of the plurality of coal-fired units in the same way as obtaining the target carbon emission reduction strategy corresponding to any of the plurality of coal-fired units; and obtaining the carbon emission reduction adjustment strategy of the power system based on the target carbon emission reduction strategy corresponding to each of the plurality of coal-fired units.

[0062] Optionally, the carbon emission reduction evaluation model can be represented by a relationship curve between the unit carbon emission reduction cost and the cumulative carbon emission of each carbon emission reduction strategy. These curves help identify the carbon emission reduction path with the highest cost-effectiveness, i.e., the combination of technologies (i.e., carbon emission reduction strategies) with the lowest cost while meeting certain emission reduction targets. Subsequently, by comparing the relationship curves of all coal-fired units, the optimal combination of carbon emission reduction technologies and the application sequence are determined. This needs to consider the overall operation efficiency, cost control, technical feasibility, and other dimensions of the power system to ensure that the selected strategy can achieve significant emission reduction effect and has good economic efficiency and operability. Finally, the optimized carbon emission reduction technology path is converted into specific implementation schemes (i.e., carbon emission reduction adjustment strategies), including technical modification plans, investment budgets, execution schedules, etc. Through this process, quantitative decision support can be provided for the low-carbon transformation of regional power systems, realizing seamless connection from local unit-level technology application to global system-level carbon emission reduction strategy, thereby effectively improving the efficiency of carbon emission reduction. This approach can avoid subjective speculation and blind following in traditional strategy formulation, ensuring the pertinence and applicability of carbon emission reduction measures for the power system.

[0063] Through the above steps S102 to S108, the purpose of collecting historical operation data, equipment data, and carbon emission reduction case information (i.e., historical carbon emission reduction strategies) of coal-fired units, constructing carbon emission reduction evaluation models corresponding to each coal-fired unit, and then quantitatively analyzing the cumulative carbon emission reduction amount and unit carbon emission reduction cost after applying carbon emission reduction technologies to coal-fired units, and flexibly adjusting the carbon emission reduction adjustment strategy of the power system, can be achieved, thereby improving the accuracy of carbon emission reduction evaluation of coal-fired units in the power system, implementing more accurate carbon emission reduction measures for the regional power system, and further solving the technical problem of poor applicability of carbon emission reduction strategies caused by inaccurate carbon emission reduction evaluation of coal-fired units in the power system.

[0064] Based on the above embodiments and optional embodiments, an optional implementation is proposed,Figure 2 is a flowchart of an optional carbon emission reduction processing method of a power system according to an embodiment of the present application, as shown in Figure 2 , the method comprises:

[0065] S1, a coal-fired unit level coal power information database is constructed, which includes basic data (i.e. equipment data) and historical operation data of each coal-fired unit. The specific construction process is the same as the foregoing embodiment, which will not be described here.

[0066] S2, a coal-fired unit carbon emission reduction technology case database is constructed, each coal-fired unit carbon emission reduction technology case (i.e. each historical carbon emission reduction strategy) in the coal-fired unit carbon emission reduction technology case database contains the carbon emission reduction technology adopted by the corresponding coal-fired unit, and a series of data of the carbon emission reduction technology such as: the promotion degree of the technology, the unit investment cost of the technology, the unit operation and maintenance cost, the technical reform life, etc. The specific construction process is the same as the foregoing embodiment, which will not be described here.

[0067] S3, data processing.

[0068] Using the comprehensive data provided by the coal-fired unit operation information database and the coal-fired unit carbon emission reduction technology case database, the cumulative carbon emission reduction amount and the unit carbon emission reduction cost of each coal-fired unit after the implementation of the corresponding historical carbon emission reduction strategy are obtained. The specific implementation manner is the same as the foregoing embodiment, which will not be described here.

[0069] S4, the carbon emission reduction cost and potential curve of each coal-fired unit after the implementation of the corresponding carbon emission reduction strategy in the planning period is drawn.

[0070] According to the carbon emission reduction cost of each carbon emission reduction strategy, the carbon emission reduction strategies are sorted from low to high. Then the cumulative carbon emission reduction amount after the implementation of the corresponding carbon emission reduction technology in the carbon emission reduction strategy is taken as the X axis, and the unit carbon emission reduction cost corresponding to the technology is taken as the Y axis to draw a column curve. The width of each column reflects the total carbon emission reduction potential of the technology applied to 100%, the height of each column reflects the carbon emission reduction cost of the carbon emission reduction technology after the application to 100%, and the area of each column chart reflects the total cost required by the technology. The sum of the areas of all column charts is the total cost required by the carbon emission reduction technology portfolio of the coal power industry.

[0071] S5, based on the carbon emission reduction cost and potential curve, the carbon emission reduction strategy adjustment of the power system in the target region is carried out.

[0072] Each coal-fired unit corresponds to a carbon emission reduction cost and potential curve, which can be used to reflect the relationship between the cumulative carbon emission reduction amount and the unit carbon emission reduction cost of the coal-fired unit after each carbon emission reduction strategy is applied to the corresponding coal-fired unit, and thus the carbon emission reduction strategy corresponding to the lowest unit carbon emission reduction cost can be selected from the curve as the adjustment of the carbon emission reduction strategy for the coal-fired unit. In this way, the optimal carbon emission reduction strategy corresponding to each coal-fired unit can be obtained.

[0073] It should be noted that the embodiment integrates the coal-fired unit database and the carbon emission reduction technology case database, breaks through the limitation of traditional single data dimension, provides double data support of "unit characteristics + technical effectiveness" for carbon emission reduction technology evaluation, solves the pain points of "data fragmentation" and "case isolation" in technology evaluation, and innovatively couples the carbon emission reduction potential (environmental index) with the carbon emission reduction cost, the unit net profit (economic index), and constructs an environmental-economic double-index coordinated evaluation system. Compared with the traditional single-dimensional evaluation, the system not only quantifies the emission reduction effectiveness of the technology, but also accurately calculates the economic feasibility, realizes the double evaluation closed loop of "environmental value measurable and economic value calculable". In addition, relying on the refined data of various carbon emission reduction technology schemes, not only single-unit technology transformation evaluation can be realized, but also the deduction model of the macro transformation path of the power system can be supported, breaking the bottleneck of "technology data difficult to support macro decision". Through comprehensive evaluation at the macro level, the cost-benefit curve and path selection suggestion of the low-carbon transformation of the coal-fired industry can be directly output, providing quantitative basis for policy making and enterprise decision making.

[0074] The embodiment can achieve at least one of the following effects:

[0075] 1) The evaluation data foundation is more solid. The existing technology relies on a single database, resulting in a disconnection between unit characteristics and technical effectiveness during technology evaluation. The embodiment realizes the association mapping of "unit parameters-technical characteristics-application effect" through the collaborative construction of the coal-fired unit database and the carbon emission reduction technology case database, solves the pain points of data fragmentation and case isolation, provides "full-chain data support" for evaluation, and makes the evaluation results more suitable for actual application scenarios.

[0076] 2) The decision basis is more scientific and sufficient. The evaluation system of the existing technology often has a bias of "emphasizing environment and ignoring economy" or "emphasizing economy and ignoring environment". The embodiment couples the carbon emission reduction potential (environmental index) with the carbon emission reduction cost, the unit net profit (economic index), quantifies the environmental contribution of the technology, and accurately calculates the economic feasibility, avoiding "technology selection errors" caused by one-sided evaluation.

[0077] 3) Application value is more effective. The existing technology evaluation is mostly at the micro level of "single unit / single technology" (such as evaluating the emission reduction effect of a certain technology applied to a certain unit), which is difficult to support the macro decision of the power system level (such as the cost-benefit and path selection of the low-carbon transformation of the entire industry). The embodiment relies on the refined data of the database to solve the bottleneck that technical data cannot serve system-level decision-making, providing direct landing quantitative basis for policy-making (such as industry transformation planning) and enterprise practice (such as cross-unit technology layout), and significantly improving the practical value of the evaluation results.

[0078] In the embodiment, a carbon emission reduction processing device for a power system is also provided, which is used to implement the above-mentioned embodiments and preferred embodiments, and will not be described again. As used below, the term "module" "device" can be a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware, or a combination of software and hardware is also possible and contemplated.

[0079] According to the embodiment of the present application, a device embodiment for implementing the above-mentioned carbon emission reduction processing method of the power system is also provided, Figure 2 is a structural schematic diagram of a carbon emission reduction processing device for a power system according to an embodiment of the present application, as Figure 2 shown, the carbon emission reduction processing device for a power system includes a data acquisition module 200, a strategy determination module 202, a model acquisition module 204, and a strategy adjustment module 206, wherein:

[0080] The data acquisition module 200 is configured to acquire a plurality of coal-fired units included in a power system in a target area, historical operation data corresponding to each of the plurality of coal-fired units, and equipment data corresponding to each of the plurality of coal-fired units.

[0081] The strategy determination module 202 is connected to the data acquisition module 200 and is configured to determine a historical carbon emission reduction strategy corresponding to each of the plurality of coal-fired units, wherein the historical carbon emission reduction strategy includes a carbon emission reduction technology adopted for the corresponding coal-fired unit and historical carbon emission reduction technology investment information.

[0082] The model acquisition module 204 is connected to the strategy determination module 202 and is configured to obtain a carbon emission reduction evaluation model corresponding to each of the plurality of coal-fired units based on the historical operation data, the equipment data, and the historical carbon emission reduction strategy corresponding to each of the plurality of coal-fired units, wherein the carbon emission reduction evaluation model is used to indicate the relationship between the cumulative carbon emission reduction amount and the unit carbon emission reduction cost of the corresponding coal-fired unit after the carbon emission reduction strategy is applied to the corresponding coal-fired unit.

[0083] The strategy adjustment module 206, connected to the model acquisition module 204, is configured to determine the carbon emission reduction adjustment strategy of the power system in the target region based on the carbon emission reduction evaluation model corresponding to each of the coal-fired units.

[0084] In the embodiment of the present application, the data acquisition module 200 is configured to acquire the historical operation data and equipment data of each of the coal-fired units included in the power system in the target region; the strategy determination module 202, connected to the data acquisition module 200, is configured to determine the historical carbon emission reduction strategy corresponding to each of the coal-fired units, wherein the historical carbon emission reduction strategy includes the carbon emission reduction technology adopted by the corresponding coal-fired unit and the historical carbon emission reduction technology investment information; the model acquisition module 204, connected to the strategy determination module 202, is configured to obtain the carbon emission reduction evaluation model corresponding to each of the coal-fired units based on the historical operation data, equipment data and historical carbon emission reduction strategy of each of the coal-fired units, wherein the carbon emission reduction evaluation model is used to indicate the relationship between the cumulative carbon emission reduction amount and the unit carbon emission reduction cost of the corresponding coal-fired unit after the carbon emission reduction strategy is applied to the corresponding coal-fired unit; and the strategy adjustment module 206, connected to the model acquisition module 204, is configured to determine the carbon emission reduction adjustment strategy of the power system in the target region based on the carbon emission reduction evaluation model corresponding to each of the coal-fired units. Thus, the historical operation data, equipment data and carbon emission reduction case information (i.e. the historical carbon emission reduction strategy) of the coal-fired units are collected to construct the carbon emission reduction evaluation model corresponding to each of the coal-fired units, and then the cumulative carbon emission reduction amount and the unit carbon emission reduction cost of the coal-fired units after the carbon emission reduction technology is applied are quantitatively analyzed, so that the flexible adjustment of the carbon emission reduction adjustment strategy of the power system is realized, thereby improving the carbon emission reduction evaluation accuracy of the coal-fired units in the power system and achieving the technical effect of implementing more accurate carbon emission reduction measures for the regional power system, and further solving the technical problem of poor applicability of the carbon emission reduction strategy caused by the inaccurate carbon emission reduction evaluation of the coal-fired units in the power system.

[0085] It should be noted that each of the above modules can be implemented by software or hardware. For example, for the latter, each of the above modules can be located in the same processor, or each of the above modules can be located in different processors in any combination.

[0086] It should be noted that the data acquisition module 200, the strategy determination module 202, the model acquisition module 204 and the strategy adjustment module 206 correspond to steps S102 to S108 in the embodiment, and the above modules have the same instances and application scenarios as the corresponding steps, but are not limited to the contents disclosed in the above embodiment. It should be noted that the above modules can run in a computer terminal as part of the device.

[0087] It should be noted that the optional or preferred embodiments of the present embodiment can refer to the related description in the embodiments, which will not be repeated here.

[0088] The carbon emission reduction processing device of the power system described above can also include a processor and a memory, and the data acquisition module 200, the strategy determination module 202, the model acquisition module 204, the strategy adjustment module 206, etc. are stored in the memory as program modules, and the processor executes the above-mentioned program modules stored in the memory to realize the corresponding functions.

[0089] The processor contains a core, and the core retrieves the corresponding program module from the memory. The above-mentioned core can be set to one or more. The memory can 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 memory (flash RAM), and the memory includes at least one memory chip.

[0090] According to the embodiments of the present application, an embodiment of a non-volatile storage medium is also provided. Optionally, in the present embodiment, the non-volatile storage medium includes a stored program, wherein the program controls the device in which the non-volatile storage medium is located to execute any of the above-mentioned carbon emission reduction processing methods of the power system when the program is running.

[0091] Optionally, in the present embodiment, the non-volatile storage medium can be located in any one of the computer terminals in the computer terminal group in the computer network, or in any one of the mobile terminals in the mobile terminal group, and the non-volatile storage medium includes a stored program.

[0092] According to the embodiments of the present application, an embodiment of a processor is also provided. Optionally, in the present embodiment, the processor is used to run a program, wherein the program executes any of the above-mentioned carbon emission reduction processing methods of the power system when the program is running.

[0093] According to the embodiments of the present application, an embodiment of a computer program product is also provided, which is adapted to execute the program initialized with the steps of any of the above-mentioned carbon emission reduction processing methods of the power system when executed on a data processing device.

[0094] Optionally, the above-mentioned computer program product is adapted to execute the program initialized with the steps of any of the above-mentioned carbon emission reduction processing methods of the power system when executed on a data processing device.

[0095] The embodiments of the present application provide an electronic device, which includes a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, the steps of any of the above-mentioned carbon emission reduction processing methods of the power system are implemented.

[0096] The sequence of the above embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments.

[0097] In the above embodiments of the present application, the description of each embodiment has its own focus, and the parts not described in detail in a certain embodiment can be referred to the relevant description of other embodiments.

[0098] In several embodiments provided in the present application, it should be understood that the disclosed technical content can be implemented by other ways. Among them, the above-mentioned device embodiments are only schematic, for example, the division of the above-mentioned modules can be a logical function division, and actual implementation can have another division way, for example, a plurality of modules or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the displayed or discussed each other can be through some interface, indirect coupling or communication connection between modules or modules, which can be electrical or other forms.

[0099] The above-mentioned modules described as separate components can be or can not be physically separated, and the components shown as modules can be or can not be physical modules, that is, they can be located in one place, or can be distributed to multiple modules. According to actual needs, part or all of the modules can be selected to achieve the purpose of the embodiment scheme.

[0100] In addition, each functional module in each embodiment of the present application can be integrated in a processing module, or each module can exist physically, or two or more modules can be integrated in one module. The above-mentioned integrated module can be realized in the form of hardware or in the form of software functional module.

[0101] The above-mentioned integrated module, if realized in the form of software functional module and sold or used as an independent product, can be stored in a computer readable non-volatile storage medium. Based on this understanding, the technical solutions of the present application or the whole or part of the technical solutions which essentially contribute to the prior art can be embodied in the form of software product, which is stored in a non-volatile storage medium, including a plurality of instructions for making a computer device (which can be a personal computer, a server or a network device, etc.) execute all or part of the steps of the embodiments of the present application. The above-mentioned non-volatile 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 various program code storage media.

[0102] The above merely is the preferred embodiment of the present application, it should be pointed out that, for ordinary skilled in the art, without departing from the principles of the present application, can also make a number of improvements and refinements, these improvements and refinements should also be considered as the protection scope of the present application.

Claims

1. A carbon emission reduction processing method of a power system, characterized by, The method comprises the following steps: obtaining historical operation data corresponding to each of a plurality of coal-fired units included in a power system in a target region, and equipment data corresponding to each of the plurality of coal-fired units; determining historical carbon emission reduction strategies corresponding to each of the plurality of coal-fired units, wherein the historical carbon emission reduction strategies comprise carbon emission reduction technologies adopted by the corresponding coal-fired units, and historical carbon emission reduction technology input information; based on the historical operation data, the equipment data, and the historical carbon emission reduction strategies corresponding to each of the plurality of coal-fired units, obtaining carbon emission reduction evaluation models corresponding to each of the plurality of coal-fired units, wherein the carbon emission reduction evaluation models are used to indicate the relationship between cumulative carbon emission reduction and unit carbon emission reduction cost of the corresponding coal-fired unit after the carbon emission reduction strategies are applied to the corresponding coal-fired unit; based on the carbon emission reduction evaluation models corresponding to each of the plurality of coal-fired units, determining a carbon emission reduction adjustment strategy of the power system in the target region.

2. The method of claim 1, wherein, In a case where the historical operation data comprises first historical operation data before a corresponding carbon emission reduction strategy is adopted, and second historical operation data after the corresponding carbon emission reduction strategy is adopted, the obtaining of the carbon emission reduction evaluation models corresponding to each of the plurality of coal-fired units based on the historical operation data, the equipment data, and the historical carbon emission reduction strategies corresponding to each of the plurality of coal-fired units comprises: obtaining a plurality of historical carbon emission reduction strategies corresponding to any one of the coal-fired units, and determining second historical operation data corresponding to each of the plurality of historical carbon emission reduction strategies; based on the first historical operation data and the equipment data of the any one of the coal-fired units, the second historical operation data and the historical carbon emission reduction technology input information corresponding to each of the plurality of historical carbon emission reduction strategies, determining cumulative carbon emission reduction corresponding to each of the plurality of historical carbon emission reduction strategies, and unit carbon emission reduction cost corresponding to each of the plurality of historical carbon emission reduction strategies; based on the cumulative carbon emission reduction and the unit carbon emission reduction cost corresponding to each of the plurality of historical carbon emission reduction strategies, obtaining a carbon emission reduction evaluation model corresponding to the any one of the coal-fired units; obtaining the carbon emission reduction evaluation models corresponding to each of the plurality of coal-fired units in the same manner as the carbon emission reduction evaluation model corresponding to the any one of the coal-fired units is obtained.

3. The method of claim 2, wherein, In a case where the equipment data at least comprises installed capacity information of the coal-fired unit, the first historical operation data at least comprises original levelized electricity cost of the coal-fired unit, original electricity carbon emission of the coal-fired unit, the second historical operation data at least comprises power supply coal consumption change value of the corresponding carbon emission reduction strategy after the corresponding carbon emission reduction strategy is applied to the coal-fired unit, unit carbon emission reduction cost, and levelized electricity cost, the obtaining of the carbon emission reduction evaluation model corresponding to the any one of the coal-fired units based on the cumulative carbon emission reduction and the unit carbon emission reduction cost corresponding to each of the plurality of historical carbon emission reduction strategies comprises: the cumulative carbon emission reduction and the unit carbon emission reduction cost corresponding to any one of the plurality of historical carbon emission reduction strategies are obtained in the following manner: determine the historical carbon emission reduction potential corresponding to the any historical carbon emission reduction strategy based on the installed capacity information of the any coal-fired generating unit and the change value of power supply coal consumption after the any historical carbon emission reduction strategy is applied to the coal-fired generating unit; obtain the cumulative carbon emission reduction amount and the unit carbon emission reduction cost corresponding to the any historical carbon emission reduction strategy based on the historical carbon emission reduction technology investment information in the any historical carbon emission reduction strategy, the historical carbon emission reduction potential corresponding to the any historical carbon emission reduction strategy, and the first historical operation data of the any coal-fired generating unit; obtain the cumulative carbon emission reduction amount corresponding to each of the plurality of historical carbon emission reduction strategies and the unit carbon emission reduction cost corresponding to each of the plurality of historical carbon emission reduction strategies in a manner that the cumulative carbon emission reduction amount and the unit carbon emission reduction cost corresponding to the any historical carbon emission reduction strategy are obtained.

4. The method of claim 2, wherein, obtain the carbon emission reduction evaluation model corresponding to the any coal-fired generating unit based on the cumulative carbon emission reduction amount corresponding to each of the plurality of historical carbon emission reduction strategies and the unit carbon emission reduction cost corresponding to each of the plurality of historical carbon emission reduction strategies, including: obtain a plurality of preset carbon emission reduction strategies corresponding to the any coal-fired generating unit, wherein the preset carbon emission reduction strategy includes a carbon emission reduction technology adopted by the any coal-fired generating unit and preset carbon emission reduction technology investment information; determine the cumulative carbon emission reduction amount corresponding to each of the plurality of preset carbon emission reduction strategies and the unit carbon emission reduction cost corresponding to each of the plurality of preset carbon emission reduction strategies based on the plurality of preset carbon emission reduction strategies and the first historical operation data of the any coal-fired generating unit; obtain the carbon emission reduction evaluation model corresponding to the any coal-fired generating unit based on the cumulative carbon emission reduction amount corresponding to each of the plurality of historical carbon emission reduction strategies, the unit carbon emission reduction cost corresponding to each of the plurality of historical carbon emission reduction strategies, the cumulative carbon emission reduction amount corresponding to each of the plurality of preset carbon emission reduction strategies, and the unit carbon emission reduction cost corresponding to each of the plurality of preset carbon emission reduction strategies.

5. The method of claim 4, wherein, determine the cumulative carbon emission reduction amount corresponding to each of the plurality of preset carbon emission reduction strategies based on the plurality of preset carbon emission reduction strategies and the first historical operation data of the any coal-fired generating unit, including: obtain the cumulative carbon emission reduction amount corresponding to each of the plurality of preset carbon emission reduction strategies and the unit carbon emission reduction cost corresponding to each of the plurality of preset carbon emission reduction strategies based on the predicted carbon emission reduction potential corresponding to each of the plurality of preset carbon emission reduction strategies, wherein the predicted carbon emission reduction potential indicates the carbon emission reduction potential of the any coal-fired generating unit after the corresponding preset carbon emission reduction strategy is adopted; the carbon emission reduction potential prediction model is obtained through machine learning based on the first historical operation data of the any coal-fired generating unit, the second historical operation data corresponding to each of the plurality of historical carbon emission reduction strategies, and the historical carbon emission reduction potential corresponding to each of the plurality of historical carbon emission reduction strategies; obtain the cumulative carbon emission reduction amount corresponding to each of the plurality of preset carbon emission reduction strategies and the unit carbon emission reduction cost corresponding to each of the plurality of preset carbon emission reduction strategies based on the predicted carbon emission reduction potential corresponding to each of the plurality of preset carbon emission reduction strategies.

6. The method according to any one of claims 1 to 5, characterized in that, determine the carbon emission reduction adjustment strategy of the power system in the target region based on the carbon emission reduction evaluation model corresponding to each of the plurality of coal-fired generating units, including: The target carbon emission reduction strategy of any coal-fired unit in the plurality of coal-fired units is obtained in the following manner: From the carbon emission reduction evaluation model corresponding to any coal-fired unit, the minimum unit carbon emission reduction cost and the corresponding cumulative carbon emission are determined; The carbon emission reduction strategy adopted when the minimum unit carbon emission reduction cost and the corresponding cumulative carbon emission are reached is determined as the target carbon emission reduction strategy corresponding to the any coal-fired unit; The target carbon emission reduction strategy corresponding to each of the plurality of coal-fired units is obtained in the same manner as obtaining the carbon emission reduction adjustment strategy corresponding to the any coal-fired unit; Based on the target carbon emission reduction strategy corresponding to each of the plurality of coal-fired units, the carbon emission reduction adjustment strategy of the power system is obtained.

7. A carbon emission reduction processing device of a power system, characterized by, It comprises: A data acquisition module for acquiring a plurality of coal-fired units included in a power system in a target area, historical operation data corresponding to each of the plurality of coal-fired units, and equipment data corresponding to each of the plurality of coal-fired units; A strategy determination module for determining historical carbon emission reduction strategies corresponding to each of the plurality of coal-fired units, wherein the historical carbon emission reduction strategies include carbon emission reduction technologies adopted by the corresponding coal-fired units and historical carbon emission reduction technology investment information; A model acquisition module for obtaining carbon emission reduction evaluation models corresponding to each of the plurality of coal-fired units based on the historical operation data, equipment data, and historical carbon emission reduction strategies corresponding to each of the plurality of coal-fired units, wherein the carbon emission reduction evaluation models are used to indicate the relationship between the cumulative carbon emission reduction amount and the unit carbon emission reduction cost of the corresponding coal-fired unit after the carbon emission reduction strategy is applied to the corresponding coal-fired unit; A strategy adjustment module for determining a carbon emission reduction adjustment strategy of the power system in the target area based on the carbon emission reduction evaluation models corresponding to each of the plurality of coal-fired units.

8. A non-volatile storage medium, comprising: The non-volatile storage medium stores a plurality of instructions, which are suitable for being loaded and executed by a processor to implement the carbon emission reduction processing method of the power system according to any one of claims 1 to 6.

9. An electronic device, comprising: It comprises one or more processors and a memory for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the carbon emission reduction processing method of the power system according to any one of claims 1 to 6.

10. A computer program product comprising a computer program, characterized in that, The computer program is executed by the processor to implement the steps of the carbon emission reduction processing method of the power system according to any one of claims 1 to 6.

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