Electrolytic aluminum load low-carbon economic dispatching method and device, medium and electronic equipment

Abstract

The invention discloses an electrolytic aluminum load low-carbon economic dispatching method and device, a medium and electronic equipment, and the method comprises the steps: building a refined adjustment model of an electrolytic aluminum load in an effective yield interval based on the actual production operation characteristic, the production safety adjustment characteristic and the yield characteristic of the electrolytic aluminum load, wherein the refined adjustment model is a constraint condition; constructing a comprehensive cost model in the effective yield interval based on the yield characteristics of the electrolytic aluminum load; constructing a dynamic carbon emission model based on the production safety adjustment characteristic and the carbon emission characteristic of the electrolytic aluminum load; and constructing a low-carbon economic optimization scheduling model based on the comprehensive cost model, the dynamic carbon emission model and the constraint conditions, so as to minimize the daily operation cost of the electrolytic aluminum load and reduce the carbon emission through the low-carbon economic optimization scheduling model, thereby realizing the low-carbon economic scheduling of the electrolytic aluminum load. According to the method, the low-carbon economic dispatching of the electrolytic aluminum high-energy-consumption load under the time-of-use electricity price can be realized, so that the daily operation cost is minimized, and the carbon emission is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of electrolytic aluminum economic dispatching, and in particular to a method, device, medium and electronic equipment for low-carbon economic dispatching of electrolytic aluminum load. Background Art

[0002] Currently, renewable energy, represented by wind power and photovoltaics, is rapidly developing, and the demand for carbon reduction in energy-intensive industries is also increasing. Relevant documents have clarified that the energy-intensive electrolytic aluminum industry will be included in the national carbon trading market in the future. Therefore, it is crucial to study the carbon emission characteristics of energy-intensive loads based on their production processes and regulation characteristics. Furthermore, under the current time-of-use electricity pricing mechanism, optimizing power to minimize costs while maintaining low carbon emissions is crucial for energy-intensive loads. Summary of the Invention

[0003] The present invention aims to at least partially address the technical problems in the related art. To this end, a first object of the present invention is to provide a method for low-carbon economic dispatch of electrolytic aluminum loads, which can achieve low-carbon economic dispatch of high-energy-consuming electrolytic aluminum loads under time-of-use electricity prices, thereby minimizing daily operating costs and reducing carbon emissions.

[0004] The second object of the present invention is to provide a low-carbon economic dispatching device for electrolytic aluminum load.

[0005] A third object of the present invention is to provide a computer-readable storage medium.

[0006] A fourth object of the present invention is to provide an electronic device.

[0007] To achieve the above object, the present invention is implemented through the following technical solutions: A low-carbon economic dispatching method for electrolytic aluminum load, comprising: Based on the actual production operation characteristics, production safety regulation characteristics and output characteristics of electrolytic aluminum load, a refined regulation model for electrolytic aluminum load within the effective output range is constructed. The refined regulation model serves as a constraint condition for the low-carbon economic optimization scheduling model. Based on the output characteristics of electrolytic aluminum load, a comprehensive cost model of electrolytic aluminum load within the effective output range is constructed; A dynamic carbon emission model of electrolytic aluminum load is constructed based on the production safety regulation characteristics and carbon emission characteristics of electrolytic aluminum load; The low-carbon economic optimization scheduling model is constructed based on the comprehensive cost model, the dynamic carbon emission model and the constraint conditions, so as to minimize the daily operating cost of the electrolytic aluminum load and reduce carbon emissions through the low-carbon economic optimization scheduling model, thereby realizing low-carbon economic scheduling of the electrolytic aluminum load.

[0008] Preferably, constructing the comprehensive cost model includes: Determine the electricity cost, output loss cost, output increase benefit, and capacity electricity price increment cost of the electrolytic aluminum load; The comprehensive cost model is constructed based on the electricity cost, output loss cost, output increase benefit, and capacity electricity price incremental cost of the electrolytic aluminum load.

[0009] Preferably, constructing the dynamic carbon emission model includes: Determine the carbon emissions from the electrochemical reaction of the carbon anode of the electrolytic aluminum load, the carbon emissions from the anode effect of the industrial process, and the indirect carbon emissions from the net purchased electricity; The dynamic carbon emission model is constructed based on the carbon emissions from the electrochemical reaction of the carbon anode of the electrolytic aluminum load, the carbon emissions from the anode effect of the industrial process, and the indirect carbon emissions from the net purchased electricity.

[0010] Preferably, the constraints include at least the power of the electrolytic aluminum load, series current, production temperature, power regulation state, power change, rated current efficiency and output constraints. To achieve the above-mentioned object, the second aspect of the present invention provides a low-carbon economic dispatching device for electrolytic aluminum load, comprising: The first construction module is used to construct a refined adjustment model of the electrolytic aluminum load within the effective output range based on the actual production operation characteristics, production safety adjustment characteristics and output characteristics of the electrolytic aluminum load. The refined adjustment model is a constraint condition of the low-carbon economic optimization scheduling model; The second building module is used to build a comprehensive cost model of the electrolytic aluminum load within the effective output range based on the output characteristics of the electrolytic aluminum load; The third building module is used to build a dynamic carbon emission model of the electrolytic aluminum load based on the production safety regulation characteristics and carbon emission characteristics of the electrolytic aluminum load; The fourth construction module is used to construct the low-carbon economic optimization scheduling model based on the comprehensive cost model, the dynamic carbon emission model and the constraint conditions, so as to minimize the daily operating cost of the electrolytic aluminum load and reduce carbon emissions through the low-carbon economic optimization scheduling model, thereby realizing low-carbon economic scheduling of the electrolytic aluminum load.

[0011] Preferably, the second building block includes: The first determination unit is used to determine the electricity cost, output loss cost, output increase benefit, and capacity electricity price increment cost of the electrolytic aluminum load; The first construction unit is used to construct the comprehensive cost model based on the electricity cost, output loss cost, output increase benefit, and capacity electricity price incremental cost of the electrolytic aluminum load. Preferably, the third building block includes: The second determination unit is used to determine the carbon emissions from the electrochemical reaction of the carbon anode of the electrolytic aluminum load, the carbon emissions from the anode effect of the industrial process, and the indirect carbon emissions from the net purchased electricity; The second construction unit is used to construct the dynamic carbon emission model based on the carbon emissions of the electrochemical reaction of the carbon anode of the electrolytic aluminum load, the carbon emissions of the anode effect of the industrial process, and the indirect carbon emissions of the net purchased electricity. Preferably, the constraints constructed by the first construction module include at least the power, series current, production temperature, power regulation state, power change, rated current efficiency and output constraints of the electrolytic aluminum load. To achieve the above-mentioned purpose, the third aspect of the present invention provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned low-carbon economic scheduling method for electrolytic aluminum load is implemented.

[0012] To achieve the above-mentioned objectives, the fourth aspect of the present invention provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the above-mentioned low-carbon economic dispatching method for electrolytic aluminum load is implemented.

[0013] The present invention has at least the following technical effects: The present invention integrates the actual production and operation characteristics, production safety regulation characteristics, output characteristics, and dynamic carbon emission characteristics of the electrolytic aluminum load, and finely characterizes the production regulation characteristics and carbon emission characteristics of the electrolytic aluminum load. Based on the production regulation characteristics and carbon emission characteristics of the electrolytic aluminum load, a fine regulation model, a comprehensive cost model, and a dynamic carbon emission model for the low-carbon scheduling of the electrolytic aluminum load are constructed. Based on this, a low-carbon economic optimization scheduling model for the electrolytic aluminum load is constructed, thereby minimizing the daily operating cost of the electrolytic aluminum load and reducing carbon emissions through the low-carbon economic optimization scheduling model. Therefore, the present invention takes into account the production regulation characteristics, carbon emission characteristics, and comprehensive costs of the high-energy-consuming load of electrolytic aluminum, and realizes the low-carbon economic scheduling operation of electrolytic aluminum regulation under time-of-use electricity prices, which can minimize daily operating costs and reduce load carbon emissions.

[0014] Additional aspects and advantages of the present invention will be set forth in part in the description which follows and, in part, will be obvious from the description which follows, or may be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a flow chart of a low-carbon economic dispatching method for electrolytic aluminum load according to an embodiment of the present invention.

[0016] Figure 2 This is a structural block diagram of the low-carbon economic dispatching device for electrolytic aluminum load according to an embodiment of the present invention.

[0017] Figure 3 Schematic diagram of power regulation and temperature change of electrolytic aluminum load in the proposed scheme. DETAILED DESCRIPTION

[0018] The present embodiment is described in detail below. Examples of the embodiment are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to explain the present invention, but are not to be construed as limiting the present invention.

[0019] The following describes the low-carbon economic dispatching method, device, medium and electronic equipment of the electrolytic aluminum load of this embodiment with reference to the accompanying drawings.

[0020] Figure 1 Flowchart of the low-carbon economic dispatching method for electrolytic aluminum load according to an embodiment of the present invention. Figure 1 As shown, the method includes: Step S1: Based on the actual production operation characteristics, production safety regulation characteristics and output characteristics of the electrolytic aluminum load, a refined regulation model of the electrolytic aluminum load within the effective output range is constructed. The refined regulation model is a constraint condition of the low-carbon economic optimization scheduling model.

[0021] In this embodiment, the refined adjustment model, i.e., the constraint conditions, are expressed as follows: (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) in, 、 They are Electrolytic aluminum load at all times Power and series current; 、 Electrolytic aluminum load The inherent upper and lower limits of power; 、 Electrolytic aluminum load The inherent upper and lower limits of the series current; 、 They are equivalent resistance and equivalent back electromotive force, which are generally determined by the specific electrolytic aluminum load Parameter determination; For electrolytic aluminum load exist Production temperature at all times; 、 These are the upper and lower limits of the temperature for electrolytic aluminum load, generally 970°C and 950°C respectively; for -1 moment electrolytic aluminum load Power; is the unit time interval, which can be 1 hour; is the specific heat capacity coefficient of the electrolyte; is the mass of the electrolyte; For electrolytic aluminum load exist -1 moment production temperature; 、 They are The upper and lower limits of the adjustable electrolytic aluminum load power are determined by the power-temperature coupling relationship at all times; 、 They are the upper and lower limits of the production temperature of electrolytic aluminum load respectively; 、 、 Respectively characterize Electrolytic aluminum load at all times Whether it is in power hold state, power increase state, or power decrease state, 1 is yes, 0 is no; for Electrolytic aluminum load at all times Compared to The power change at the moment, a positive value indicates an upward adjustment of the power, and a negative value indicates a downward adjustment of the power; 、 are the upper and lower adjustment speeds of the electrolytic aluminum load at each time step respectively; is the scheduling period; For electrolytic aluminum load In a scheduling cycle The maximum number of adjustments allowed within 、 、 Respectively characterize -1 moment electrolytic aluminum load Whether the system is in power hold, power increase, or power decrease state; For electrolytic aluminum load The minimum power duration, that is, the electrolytic aluminum load power needs to be maintained for a minimum period of time after adjustment; For electrolytic aluminum load exist -1 moment power state holding time; For electrolytic aluminum load exist t Current efficiency at each moment; For electrolytic aluminum load Rated current efficiency; Rated temperature for electrolytic aluminum production; For electrolytic aluminum load exist t Output at a given moment; For electrolytic aluminum load The number of electrolytic cells, the electrolytic aluminum production series consists of dozens or hundreds of electrolytic cells connected in series; is the electrochemical equivalent of electrolytic aluminum, which is generally taken as 0.3356; 、 are the minimum and maximum coefficients of the yield range, which are taken as 0.98 and 1.02 respectively; For electrolytic aluminum load exist t Rated output at the time; For electrolytic aluminum load exist t Production at the moment.

[0022] Step S2: Construct a comprehensive cost model of the electrolytic aluminum load within the effective output range based on the output characteristics of the electrolytic aluminum load.

[0023] In this embodiment, the comprehensive cost model is expressed as follows: (17) (18) (19) (20) (twenty one) in, For electrolytic aluminum load exist t The electricity cost at the time; Peak and valley time-of-use electricity prices for purchasing electricity from the grid for electrolytic aluminum loads; For electrolytic aluminum load exist t The cost of lost output at the time; The unit price of aluminum in the spot market during the quarter, in $ / ton; For electrolytic aluminum load exist t Timely production increase benefits; For electrolytic aluminum load exist t The incremental cost of capacity electricity price at the time; The capacity electricity price standard for electrolytic aluminum load, unit is ¥ / MWh; For electrolytic aluminum load Rated power; For electrolytic aluminum load exist t The overall cost of the moment; For electrolytic aluminum load In the above formula, the power range where the current intensity is above 90% of the rated value is the effective production range. This method only optimizes the effective production range.

[0024] Therefore, this embodiment can construct a comprehensive cost model based on the electricity cost of the electrolytic aluminum load, the production loss cost, the production increase benefit, and the capacity electricity price incremental cost.

[0025] Step S3: Construct a dynamic carbon emission model of the electrolytic aluminum load based on the production safety regulation characteristics and carbon emission characteristics of the electrolytic aluminum load.

[0026] In this embodiment, the dynamic carbon emission model is expressed as follows: (twenty two) (twenty three) (twenty four) (25) (26) (27) (28) in, For electrolytic aluminum load exist Carbon emission from the electrochemical reaction at the carbon anode at the time; J is the total electrolytic aluminum load; is the carbon dioxide emission factor for carbon anode consumption; is the net consumption of aluminum carbon anode per ton; is the average sulfur content of the carbon anode, which can be taken as 2%; is the average ash content of carbon anode, which can be taken as 0.4%; For electrolytic aluminum load Net consumption of rated tons of aluminum carbon anode; For electrolytic aluminum load exist Anode effect carbon emissions from industrial processes at each moment; 、 are the emission factors of carbon tetrafluoride and carbon hexafluoride due to the anode effect, respectively; 、 The global warming potentials of carbon tetrafluoride and carbon hexafluoride can be taken as 6500 and 9200 respectively; For electrolytic aluminum load exist Net indirect carbon emissions from purchased electricity at the time; is the regional power grid emission factor; Green electricity power directly consumed; is the dynamic carbon emissions of electrolytic aluminum load.

[0027] Therefore, this embodiment can construct a dynamic carbon emission model based on the carbon emissions of the electrochemical reaction of the carbon anode of the electrolytic aluminum load, the carbon emissions of the anode effect of the industrial process, and the indirect carbon emissions of the net purchased electricity.

[0028] Step S4: Construct a low-carbon economic optimization scheduling model based on the comprehensive cost model, dynamic carbon emission model and constraint conditions, so as to minimize the daily operating cost of the electrolytic aluminum load and reduce carbon emissions through the low-carbon economic optimization scheduling model, thereby realizing low-carbon economic scheduling of the electrolytic aluminum load.

[0029] In this embodiment, taking into account time-of-use electricity prices and dynamic carbon emission characteristics, a low-carbon economic optimization scheduling model for electrolytic aluminum load is constructed to minimize the daily operating cost of electrolytic aluminum load and reduce carbon emissions. The low-carbon economic optimization scheduling model is expressed as follows: (29) (30) in, is the carbon tax penalty coefficient, and the current carbon price in the national carbon trading market is selected.

[0030] In this embodiment, the objective function F in the low-carbon economic optimization scheduling model is solved through the above-mentioned refined adjustment model, i.e., the constraint conditions, to obtain the optimal power, series current and production temperature of the electrolytic aluminum load, where the core variable is to solve for the optimal power so as to minimize the daily operating cost of the electrolytic aluminum load and reduce carbon emissions.

[0031] Figure 2 This is a structural block diagram of the low-carbon economic dispatching device for electrolytic aluminum load according to an embodiment of the present invention.

[0032] like Figure 2 As shown, the electrolytic aluminum load low-carbon economic dispatching device 100 includes a first building module 10, a second building module 20, a third building module 30 and a fourth building module 40. The first building module 10, the second building module 20, and the third building module 30 are connected to the fourth building module 40 respectively.

[0033] In this embodiment, the first construction module 10 is used to construct a refined adjustment model for the electrolytic aluminum load within the effective production range based on the actual production operation characteristics, production safety adjustment characteristics, and output characteristics of the electrolytic aluminum load. The refined adjustment model is a constraint condition for the low-carbon economic optimization scheduling model. The second construction module 20 is used to construct a comprehensive cost model for the electrolytic aluminum load within the effective production range based on the output characteristics of the electrolytic aluminum load. The third construction module 30 is used to construct a dynamic carbon emission model for the electrolytic aluminum load based on the production safety adjustment characteristics and carbon emission characteristics of the electrolytic aluminum load. The fourth construction module 40 is used to construct a low-carbon economic optimization scheduling model based on the comprehensive cost model, the dynamic carbon emission model, and the constraint conditions, so as to minimize the daily operating cost of the electrolytic aluminum load and reduce carbon emissions through the low-carbon economic optimization scheduling model, thereby realizing low-carbon economic scheduling of the electrolytic aluminum load.

[0034] In one embodiment of the present invention, the second constructing module 20 includes a first determining unit and a first constructing unit.

[0035] Among them, the first determination unit is used to determine the electricity cost, output loss cost, output increase benefit, and capacity electricity price incremental cost of the electrolytic aluminum load; the first construction unit is used to construct a comprehensive cost model based on the electricity cost, output loss cost, output increase benefit, and capacity electricity price incremental cost of the electrolytic aluminum load. In one embodiment of the present invention, the third constructing module 30 includes a second determining unit and a second constructing unit.

[0036] Among them, the second determination unit is used to determine the carbon emissions of the electrochemical reaction of the carbon anode of the electrolytic aluminum load, the carbon emissions of the anode effect of the industrial process, and the indirect carbon emissions of the net purchased electricity; the second construction unit is used to construct a dynamic carbon emission model based on the carbon emissions of the electrochemical reaction of the carbon anode of the electrolytic aluminum load, the carbon emissions of the anode effect of the industrial process, and the indirect carbon emissions of the net purchased electricity. In one embodiment of the present invention, the constraints constructed by the first construction module 10 include at least the power, series current, production temperature, power regulation state, power variation, rated current efficiency and output constraints of the electrolytic aluminum load. Furthermore, the present invention also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned low-carbon economic scheduling method for electrolytic aluminum load is implemented.

[0037] Furthermore, 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. When the processor executes the computer program, the above-mentioned low-carbon economic dispatching method for electrolytic aluminum load is implemented.

[0038] The present invention will be further described below through specific examples: Taking an aluminum plant in Yunnan, China as an example, each production series within the plant can be considered an electrolytic aluminum load. The parameters of the two electrolytic aluminum loads involved in this embodiment are detailed in Table 1. The carbon emission factor of the regional power grid is the national average carbon emission factor for electricity in 2022, which is 0.5366 kgCO2 / kWh, and the carbon tax price is taken as 100 RMB / t. In order to ensure safety and conservatism during the power regulation process of the electrolytic aluminum load, the maximum power of the electrolytic aluminum load is set to 105% of the rated power in the simulation scheme. This paper sets up two comparison schemes. Scheme 1: The electrolytic aluminum load maintains constant power operation, and its cost and carbon emissions are calculated; Scheme 2: The electrolytic aluminum load operates in the proposed low-carbon economic dispatch model, and the maximum power is set to 105% of the rated power. It should be noted that both electrolytic aluminum loads in Table 1 participate in the optimization, and the simulation results are their overall results.

[0039] Table 1 Relevant technical parameters of an aluminum plant

[0040] Table 2 compares the economic performance of electrolytic aluminum load operation under different schemes. It can be seen that, compared with the constant rated power operation mode, the proposed method reduces the total operating cost of the electrolytic aluminum load by 2.66%, with electricity costs reduced by 4.11% and carbon tax costs reduced by 3.56%. Under the proposed scheme, power regulation of the electrolytic aluminum load significantly increases regulation costs, which are composed of production loss costs, incremental capacity price costs, and production benefits. However, the regulation costs of the electrolytic aluminum load account for only 1.43% of the total operating costs, while electricity costs and carbon tax costs account for 88.44% and 10.13%, respectively. Therefore, the regulation costs have a minimal impact on the total operating costs. Under the current peak-valley time-of-use electricity pricing mechanism, the total operating costs of the electrolytic aluminum load can be reduced to a certain extent by optimizing power scheduling. The savings in electricity costs and carbon tax costs are sufficient to offset the increased regulation costs. Therefore, the total operating costs of the electrolytic aluminum load are effectively reduced under the proposed scheme. Table 3 shows the carbon emissions of the electrolytic aluminum load under different schemes. Compared to the constant rated power operation mode, the proposed method reduces total carbon emissions by 3.56%. Furthermore, the vast majority of the carbon reductions in the electrolytic aluminum load come from indirect carbon emissions from net purchased electricity and carbon emissions from the electrochemical reaction at the carbon anode, while carbon emissions from the anode effect of the industrial process have a minimal reduction. Specifically, indirect carbon emissions from net purchased electricity have the largest reduction, at 3.70%, followed by carbon emissions from the electrochemical reaction at the carbon anode, at 3.18%, while carbon emissions from the anode effect of the industrial process have the smallest reduction, at 2.00%.

[0041] Table 2 Economic indicators of electrolytic aluminum load operation under different schemes

[0042] Table 3 Carbon emissions from electrolytic aluminum load operation under different schemes

[0043] Figure 3 The following diagram shows the power regulation and temperature variation of the electrolytic aluminum load in the proposed scheme. EAL1 and EAL2 show the power regulation of the two electrolytic aluminum load series, respectively, while TL1 and TL2 show the temperature variation of the two electrolytic aluminum load series. Clearly, the operating power of electrolytic aluminum loads EAL1 and EAL2 does not exceed the rated power, and the corresponding incremental capacity price cost is zero, resulting in relatively low regulation costs. TL1 and TL2 also strictly fall within the 950°C-970°C range. Therefore, when operating under the proposed scheme, the electrolytic aluminum load can effectively control carbon emissions, while its power regulation and temperature variation strictly meet production process safety requirements. The regulation range is relatively small, making it easy for aluminum smelters to implement.

[0044] In summary, the present invention integrates the actual production and operation characteristics, production safety regulation characteristics, output characteristics, and dynamic carbon emission characteristics of the electrolytic aluminum load, and finely characterizes the production regulation characteristics and carbon emission characteristics of the electrolytic aluminum load. Based on the production regulation characteristics and carbon emission characteristics of the electrolytic aluminum load, a fine regulation model, a comprehensive cost model, and a dynamic carbon emission model for the low-carbon scheduling of the electrolytic aluminum load are constructed, and based on this, a low-carbon economic optimization scheduling model for the electrolytic aluminum load is constructed, thereby minimizing the daily operating cost of the electrolytic aluminum load and reducing carbon emissions through the low-carbon economic optimization scheduling model. Therefore, the present invention takes into account the production regulation characteristics, carbon emission characteristics, and comprehensive costs of the high-energy-consuming load of electrolytic aluminum, and realizes the low-carbon economic scheduling operation of electrolytic aluminum regulation under time-of-use electricity prices, which can minimize daily operating costs and reduce load carbon emissions.

[0045] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply the existence of any such actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or device comprising the element.

[0046] Although the present invention has been described in detail through the above preferred embodiments, it should be understood that the above description is not intended to limit the present invention. After reading the above description, various modifications and substitutions of the present invention will become apparent to those skilled in the art. Therefore, the scope of protection of the present invention should be defined by the appended claims.

Claims

1. A low-carbon economic dispatching method for electrolytic aluminum load, characterized in that: include: Based on the actual production operation characteristics, production safety regulation characteristics and output characteristics of the electrolytic aluminum load, a refined regulation model for the electrolytic aluminum load within the effective output range is constructed. The refined regulation model serves as a constraint condition for the low-carbon economic optimization scheduling model. Based on the output characteristics of electrolytic aluminum load, a comprehensive cost model of electrolytic aluminum load within the effective output range is constructed; A dynamic carbon emission model of electrolytic aluminum load is constructed based on the production safety regulation characteristics and carbon emission characteristics of electrolytic aluminum load; The low-carbon economic optimization scheduling model is constructed based on the comprehensive cost model, the dynamic carbon emission model and the constraint conditions, so as to minimize the daily operating cost of the electrolytic aluminum load and reduce carbon emissions through the low-carbon economic optimization scheduling model, thereby realizing low-carbon economic scheduling of the electrolytic aluminum load.

2. The low-carbon economic dispatching method for electrolytic aluminum load according to claim 1, characterized in that: Constructing the comprehensive cost model includes: Determine the electricity cost, output loss cost, output increase benefit, and capacity electricity price increment cost of the electrolytic aluminum load; The comprehensive cost model is constructed based on the electricity cost, output loss cost, output increase benefit, and capacity electricity price incremental cost of the electrolytic aluminum load.

3. The low-carbon economic dispatching method for electrolytic aluminum load according to claim 1, characterized in that: Constructing the dynamic carbon emission model includes: Determine the carbon emissions from the electrochemical reaction of the carbon anode of the electrolytic aluminum load, the carbon emissions from the anode effect of the industrial process, and the indirect carbon emissions from the net purchased electricity; The dynamic carbon emission model is constructed based on the carbon emissions from the electrochemical reaction of the carbon anode of the electrolytic aluminum load, the carbon emissions from the anode effect of the industrial process, and the indirect carbon emissions from the net purchased electricity.

4. The low-carbon economic dispatching method for electrolytic aluminum load according to any one of claims 1 to 3, characterized in that: The constraints include at least the power, series current, production temperature, power regulation state, power variation, rated current efficiency and output constraints of the electrolytic aluminum load.

5. A low-carbon economic dispatching device for electrolytic aluminum load, characterized in that: include: The first construction module is used to construct a refined adjustment model of the electrolytic aluminum load within the effective output range based on the actual production operation characteristics, production safety adjustment characteristics and output characteristics of the electrolytic aluminum load. The refined adjustment model is a constraint condition of the low-carbon economic optimization scheduling model; The second building module is used to build a comprehensive cost model of the electrolytic aluminum load within the effective output range based on the output characteristics of the electrolytic aluminum load; The third building module is used to build a dynamic carbon emission model of the electrolytic aluminum load based on the production safety regulation characteristics and carbon emission characteristics of the electrolytic aluminum load; The fourth construction module is used to construct the low-carbon economic optimization scheduling model based on the comprehensive cost model, the dynamic carbon emission model and the constraint conditions, so as to minimize the daily operating cost of the electrolytic aluminum load and reduce carbon emissions through the low-carbon economic optimization scheduling model, thereby realizing low-carbon economic scheduling of the electrolytic aluminum load.

6. The low-carbon economic dispatching device for electrolytic aluminum load according to claim 5, characterized in that: The second building block includes: The first determination unit is used to determine the electricity cost, output loss cost, output increase benefit, and capacity electricity price increment cost of the electrolytic aluminum load; The first construction unit is used to construct the comprehensive cost model based on the electricity cost, output loss cost, output increase benefit, and capacity electricity price incremental cost of the electrolytic aluminum load.

7. The low-carbon economic dispatching device for electrolytic aluminum load according to claim 5, characterized in that: The third building block includes: The second determination unit is used to determine the carbon emissions from the electrochemical reaction of the carbon anode of the electrolytic aluminum load, the carbon emissions from the anode effect of the industrial process, and the indirect carbon emissions from the net purchased electricity; The second construction unit is used to construct the dynamic carbon emission model based on the carbon emissions of the electrochemical reaction of the carbon anode of the electrolytic aluminum load, the carbon emissions of the anode effect of the industrial process, and the indirect carbon emissions of the net purchased electricity.

8. The low-carbon economic dispatching device for electrolytic aluminum load according to any one of claims 5 to 7, characterized in that: The constraints constructed by the first construction module include at least the power, series current, production temperature, power regulation state, power change, rated current efficiency and output constraints of the electrolytic aluminum load.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the low-carbon economic dispatching method for electrolytic aluminum load as described in any one of claims 1 to 4 is implemented.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, it implements the low-carbon economic dispatching method for electrolytic aluminum load as described in any one of claims 1 to 4.

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