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

Abstract

The application discloses a kind of electrolytic aluminium load low-carbon economic scheduling method, device, medium and electronic equipment, the method includes: based on the actual production operating characteristics of electrolytic aluminium load, production safety adjustment characteristics and yield characteristics, construct the fine adjustment model of electrolytic aluminium load in effective yield interval, fine adjustment model is constraint condition;Based on the yield characteristics of electrolytic aluminium load, construct comprehensive cost model in effective yield interval;Based on the production safety adjustment characteristics and carbon emission characteristics of electrolytic aluminium load, construct dynamic carbon emission model;Based on comprehensive cost model and dynamic carbon emission model and constraint condition, construct low-carbon economic optimization scheduling model, so as to minimize the daily operating cost of electrolytic aluminium load by low-carbon economic optimization scheduling model and reduce carbon emission, realize electrolytic aluminium load low-carbon economic scheduling.The application can realize the low-carbon economic scheduling of electrolytic aluminium high-energy consumption load under time-of-use electricity price, so as to minimize daily operating cost and reduce carbon emission.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of economic scheduling of electrolytic aluminum, and in particular to an electrolytic aluminum load low-carbon economic scheduling method, device, medium and electronic equipment. BACKGROUND

[0002] At present, renewable energy represented by wind power and photovoltaic is developing rapidly, and the demand for carbon reduction in high-energy-consuming industries is also increasing. Among them, relevant documents have clearly stated that the high-energy-consuming industry of electrolytic aluminum will be included in the national carbon trading market in the future. Therefore, based on the production process and regulation characteristics of high-energy-consuming loads, it is very important to study its carbon emission characteristics. Moreover, under the current time-of-use electricity price mechanism, how to optimize the power to minimize the cost and take into account its low carbon is crucial for high-energy-consuming loads. SUMMARY

[0003] The present application aims to at least partially solve the technical problems in the related art. To this end, the first object of the present application is to provide an electrolytic aluminum load low-carbon economic scheduling method, which can realize low-carbon economic scheduling of electrolytic aluminum high-energy-consuming load under time-of-use electricity price, thereby minimizing daily operating cost and reducing carbon emissions.

[0004] The second object of the present application is to provide an electrolytic aluminum load low-carbon economic scheduling device.

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

[0006] The fourth object of the present application is to provide an electronic device.

[0007] To achieve the above-mentioned objects, the present application realizes the following technical solutions:

[0008] An electrolytic aluminum load low-carbon economic scheduling method, comprising:

[0009] Based on the actual production operation characteristics, production safety regulation characteristics and yield characteristics of the electrolytic aluminum load, a fine regulation model of the electrolytic aluminum load within the effective yield interval is constructed, and the fine regulation model is a constraint condition of the low-carbon economic optimization scheduling model;

[0010] Based on the yield characteristics of the electrolytic aluminum load, a comprehensive cost model of the electrolytic aluminum load within the effective yield interval is constructed;

[0011] Based on the production safety regulation characteristics and carbon emission characteristics of the electrolytic aluminum load, a dynamic carbon emission model of the electrolytic aluminum load is constructed;

[0012] The low-carbon economic optimization scheduling model is constructed based on the comprehensive cost model, the dynamic carbon emission model and the constraint condition, so as to minimize the daily operation cost of the electrolytic aluminum load and reduce carbon emission through the low-carbon economic optimization scheduling model, and realize low-carbon economic scheduling of the electrolytic aluminum load.

[0013] Preferably, the comprehensive cost model is constructed, including:

[0014] The power cost, yield loss cost, yield increase benefit and capacity price increment cost of the electrolytic aluminum load are determined.

[0015] The comprehensive cost model is constructed according to the power cost, yield loss cost, yield increase benefit and capacity price increment cost of the electrolytic aluminum load.

[0016] Preferably, the dynamic carbon emission model is constructed, including:

[0017] The carbon emission amount of the carbon anode electrochemical reaction, the industrial process anode effect carbon emission amount and the net purchased power indirect carbon emission amount of the electrolytic aluminum load are determined.

[0018] The dynamic carbon emission model is constructed according to the carbon emission amount of the carbon anode electrochemical reaction, the industrial process anode effect carbon emission amount and the net purchased power indirect carbon emission amount of the electrolytic aluminum load.

[0019] Preferably, the constraint condition at least includes the power, series current, production temperature, power regulation state, power change amount, rated current efficiency and yield constraint condition of the electrolytic aluminum load.

[0020] To achieve the above object, the second aspect of the present application provides an electrolytic aluminum load low-carbon economic scheduling device, including:

[0021] The first construction module is used for constructing a refined regulation model of the electrolytic aluminum load in an effective yield interval based on actual production operation characteristics, production safety regulation characteristics and yield characteristics of the electrolytic aluminum load, and the refined regulation model is a constraint condition of a low-carbon economic optimization scheduling model.

[0022] The second construction module is used for constructing a comprehensive cost model of the electrolytic aluminum load in the effective yield interval based on the yield characteristics of the electrolytic aluminum load.

[0023] The third construction module is used for constructing 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.

[0024] The fourth construction module is configured to construct the low-carbon economy optimization scheduling model based on the comprehensive cost model, the dynamic carbon emission model and the constraint condition, so as to minimize the daily operation cost of the electrolytic aluminum load and reduce carbon emission through the low-carbon economy optimization scheduling model, and realize low-carbon economy scheduling of the electrolytic aluminum load.

[0025] Preferably, the second construction module comprises:

[0026] The first determination unit is configured to determine the electricity cost, the output loss cost, the output increase benefit and the capacity price increment cost of the electrolytic aluminum load.

[0027] The first construction unit is configured to construct the comprehensive cost model according to the electricity cost, the output loss cost, the output increase benefit and the capacity price increment cost of the electrolytic aluminum load.

[0028] Preferably, the third construction module comprises:

[0029] The second determination unit is configured to determine the carbon emission amount of the carbon anode electrochemical reaction, the carbon emission amount of the industrial process anode effect and the indirect carbon emission amount of the net purchased power of the electrolytic aluminum load.

[0030] The second construction unit is configured to construct the dynamic carbon emission model according to the carbon emission amount of the carbon anode electrochemical reaction, the carbon emission amount of the industrial process anode effect and the indirect carbon emission amount of the net purchased power of the electrolytic aluminum load.

[0031] Preferably, the constraint condition constructed by the first construction module at least comprises the power, the series current, the production temperature, the power regulation state, the power variation amount, the rated current efficiency and the output constraint condition of the electrolytic aluminum load.

[0032] To achieve the above object, the third aspect of the present application provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to realize the low-carbon economy scheduling method of the electrolytic aluminum load.

[0033] To achieve the above object, the fourth aspect of the present application provides an electronic device, which comprises a memory, a processor and a computer program stored in the memory and executable on the processor, and the processor executes the computer program to realize the low-carbon economy scheduling method of the electrolytic aluminum load.

[0034] The present application has at least the following technical effects:

[0035] The application synthesizes the actual production operation characteristics, production safety adjustment characteristics, yield characteristics and dynamic carbon emission characteristics of the electrolytic aluminum load, finely depicts the production adjustment characteristics and carbon emission characteristics of the electrolytic aluminum load, and constructs a fine adjustment model, a comprehensive cost model and a dynamic carbon emission model of low-carbon scheduling of the electrolytic aluminum load according to the production adjustment characteristics and carbon emission characteristics of the electrolytic aluminum load, and accordingly constructs a low-carbon economic optimization scheduling model of the electrolytic aluminum load, so as to minimize the daily operation cost of the electrolytic aluminum load and reduce carbon emissions through the low-carbon economic optimization scheduling model. Thus, the application considers the production adjustment characteristics, carbon emission characteristics and comprehensive cost of the high-energy-consumption electrolytic aluminum load, realizes low-carbon economic scheduling operation of the electrolytic aluminum load under time-of-use electricity price, and minimizes the daily operation cost and reduces the load carbon emissions.

[0036] Additional aspects and advantages of the application will be set forth in part in the description which follows, and in part will become apparent to those skilled in the art upon examination of the following and / or can be learned by practice of the application. BRIEF DESCRIPTION OF DRAWINGS

[0037] Figure 1 A flow chart of the low-carbon economic scheduling method of the electrolytic aluminum load of the embodiment of the application.

[0038] Figure 2 A structural block diagram of the low-carbon economic scheduling device of the electrolytic aluminum load of the embodiment of the application.

[0039] Figure 3 A schematic diagram of power adjustment and temperature change of the electrolytic aluminum load in the proposed scheme. DETAILED DESCRIPTION

[0040] The embodiments are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference signs represent the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the drawings are exemplary and are intended to explain the application, and cannot be understood as a limitation of the application.

[0041] The low-carbon economic scheduling method, device, medium and electronic equipment of the electrolytic aluminum load of the embodiment are described below with reference to the accompanying drawings.

[0042] Figure 1 A flow chart of the low-carbon economic scheduling method of the electrolytic aluminum load of the embodiment of the application. As shown in Figure 1 , the method comprises:

[0043] Step S1: constructing a fine adjustment model of the electrolytic aluminum load in the effective yield interval based on the actual production operation characteristics, production safety adjustment characteristics and yield characteristics of the electrolytic aluminum load, and the fine adjustment model is a constraint condition of the low-carbon economic optimization scheduling model.

[0044] In this embodiment, the refined adjustment model, i.e., the constraint conditions, are expressed as follows:

[0045] (1)

[0046] (2)

[0047] (3)

[0048] (4)

[0049] (5)

[0050] (6)

[0051] (7)

[0052] (8)

[0053] (9)

[0054] (10)

[0055] (11)

[0056] (12)

[0057] (13)

[0058] (14)

[0059] (15)

[0060] (16)

[0061] in, , They are respectively Constant Electrolytic Aluminum Load Power and series current; , Electrolytic aluminum load The power inherent upper and lower limits; , Electrolytic aluminum load The series of currents have inherent upper and lower limits; , These are the equivalent resistance and equivalent back electromotive force, respectively, and are generally determined by the specific electrolytic aluminum load. Determined by parameters; For electrolytic aluminum load exist The production temperature at any given moment; , These are the upper and lower temperature limits for the electrolytic aluminum load, typically taken as 970℃ and 950℃ respectively. for -1 hour electrolytic aluminum load The power; The time interval can be 1 hour; is the specific heat capacity coefficient of the electrolyte; The mass of the electrolyte; For electrolytic aluminum load exist The production temperature at time -1; , They are respectively The upper and lower limits of the electrolytic aluminum load power, which are determined by the power-temperature coupling relationship, are adjustable. , These are the upper and lower limits of the production temperature for electrolytic aluminum load, respectively. , , Characterize respectively Constant Electrolytic Aluminum Load Whether it is in power hold, power increase, or power decrease state, 1 indicates yes, 0 indicates no; for Constant Electrolytic Aluminum Load Compared to The change in power at any given time is positive if it represents an upward adjustment of power, and negative if it represents a downward adjustment of power. , These are the adjustment speeds for the electrolytic aluminum load increase and decrease at each time step; The scheduling period; For electrolytic aluminum load In a scheduling cycle The maximum number of adjustments allowed within; , , Characterize respectively -1 hour electrolytic aluminum load Is it in power hold mode, power increase mode, or power decrease mode? For electrolytic aluminum load The minimum duration of power adjustment, i.e., the minimum period of time that the electrolytic aluminum load power must be maintained after adjustment. For electrolytic aluminum load exist Power state hold time at time -1; electrolytic aluminum load at t the moment; rated current efficiency of the electrolytic aluminum load ; rated temperature of the electrolytic aluminum production; electrolytic aluminum load at t the moment; electrolytic aluminum load ; electrochemical equivalent of the electrolytic aluminum, which can generally take a value of 0.3356; , are respectively the minimum and maximum coefficients of the yield range, which are respectively taken as 0.98 and 1.02; rated yield of the electrolytic aluminum load at t the moment; yield of the electrolytic aluminum load at t the moment.

[0062] Step S2: constructing a comprehensive cost model of the electrolytic aluminum load in the effective yield range based on the yield characteristics of the electrolytic aluminum load.

[0063] In this embodiment, the comprehensive cost model is expressed as follows:

[0064] (17)

[0065] (18)

[0066] (19)

[0067] (20)

[0068] (21)

[0069] wherein, electric quantity cost of the electrolytic aluminum load at t the moment; peak-valley time-of-use electricity price of the electrolytic aluminum load purchased from the power grid; yield loss cost of the electrolytic aluminum load at t the moment; aluminum spot market unit price of the season, in $ / ton; electrolytic aluminum load at tthe benefit of the production increase at the moment; the capacity price of the electrolytic aluminum load at t the moment; the capacity price of the electrolytic aluminum load, in units of ¥ / MWh; the rated power of the electrolytic aluminum load ; the rated power of the electrolytic aluminum load at t the moment; the comprehensive cost of the electrolytic aluminum load at the moment. In the above formula, the power interval in which the current intensity is above 90% of the rated value is the effective production interval, and the method is only optimized for the effective production interval.

[0070] Thus, the embodiment can construct a comprehensive cost model according to the electricity cost, the production loss cost, the production increase benefit, and the capacity price increment cost of the electrolytic aluminum load.

[0071] Step S3: constructing a dynamic carbon emission model of the electrolytic aluminum load based on the production safety adjustment characteristics and the carbon emission characteristics of the electrolytic aluminum load.

[0072] In the embodiment, the dynamic carbon emission model is expressed as follows:

[0073] (22)

[0074] (23)

[0075] (24)

[0076] (25)

[0077] (26)

[0078] (27)

[0079] (28)

[0080] wherein, the carbon emission amount of the carbon anode electrochemical reaction of the electrolytic aluminum load at the moment; J the total number of electrolytic aluminum loads; the carbon dioxide emission factor of the carbon anode consumption; the net consumption amount of the ton aluminum carbon anode; the average sulfur content of the carbon anode, which can be taken as 2%; The average ash content of the carbon anode is preferably 0.4%; The rated net consumption of carbon anode per ton of aluminum of the electrolytic aluminum load The rated net consumption of carbon anode per ton of aluminum of the electrolytic aluminum load The rated net consumption of carbon anode per ton of aluminum of the electrolytic aluminum load The industrial process anode effect carbon emission at the moment The industrial process anode effect carbon emission at the moment , The carbon tetrafluoride emission factor and the carbon hexafluoride emission factor of the anode effect are respectively , The global warming potential of the carbon tetrafluoride and the carbon hexafluoride is respectively 6500 and 9200. The rated net consumption of carbon anode per ton of aluminum of the electrolytic aluminum load The rated net consumption of carbon anode per ton of aluminum of the electrolytic aluminum load The indirect carbon emission of net purchased power at the moment The regional power grid emission factor is The directly consumed green power is The dynamic carbon emission of the electrolytic aluminum load is

[0081] Therefore, the embodiment can construct a dynamic carbon emission model according to the carbon emission of the carbon anode electrochemical reaction of the electrolytic aluminum load, the industrial process anode effect carbon emission, and the indirect carbon emission of net purchased power.

[0082] Step S4: constructing a low-carbon economic optimal scheduling model based on the comprehensive cost model, the dynamic carbon emission model, and the constraint condition, so as to minimize the daily operation cost of the electrolytic aluminum load and reduce carbon emission through the low-carbon economic optimal scheduling model, and realize low-carbon economic scheduling of the electrolytic aluminum load.

[0083] In the embodiment, the low-carbon economic optimal scheduling model of the electrolytic aluminum load is constructed by taking into account the time-of-use electricity price and the dynamic carbon emission characteristics, so as to minimize the daily operation cost of the electrolytic aluminum load and reduce carbon emission, and the low-carbon economic optimal scheduling model is expressed as follows:

[0084] (29)

[0085] (30)

[0086] Wherein, The carbon tax penalty coefficient is selected as the current national carbon trading market carbon price.

[0087] In the embodiment, the objective function F in the low-carbon economic optimal scheduling model is solved through the above-mentioned fine adjustment model, i.e., the constraint condition, to obtain the optimal power, series current, and production temperature of the electrolytic aluminum load, wherein the core variable is the optimal power obtained by solving, so as to minimize the daily operation cost of the electrolytic aluminum load and reduce carbon emission.

[0088] Figure 2 A structural block diagram of the low-carbon economic scheduling device for electrolytic aluminum load in an embodiment of the present application.

[0089] As shown in the figure, the low-carbon economic scheduling device 100 for electrolytic aluminum load includes a first construction module 10, a second construction module 20, a third construction module 30 and a fourth construction module 40. Among them, the first construction module 10, the second construction module 20, the third construction module 30 are connected with the fourth construction module 40 respectively. Figure 2 In this embodiment, the first construction module 10 is used to construct a fine adjustment model of the electrolytic aluminum load in the effective yield interval based on the actual production operation characteristics, production safety adjustment characteristics and yield characteristics of the electrolytic aluminum load, and the fine adjustment model is a constraint condition of the low-carbon economic optimization scheduling model. The second construction module 20 is used to construct a comprehensive cost model of the electrolytic aluminum load in the effective yield interval based on the yield characteristics of the electrolytic aluminum load. The third construction module 30 is used to construct a dynamic carbon emission model of 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 and the dynamic carbon emission model and the constraint condition, so as to minimize the daily operation cost of the electrolytic aluminum load and reduce carbon emissions through the low-carbon economic optimization scheduling model, and realize low-carbon economic scheduling of the electrolytic aluminum load.

[0090] In an embodiment of the present application, the second construction module 20 includes a first determination unit and a first construction unit.

[0091] Among them, the first determination unit is used to determine the electricity cost, yield loss cost, yield increase benefit and capacity price increment cost of the electrolytic aluminum load; and the first construction unit is used to construct the comprehensive cost model according to the electricity cost, yield loss cost, yield increase benefit and capacity price increment cost of the electrolytic aluminum load.

[0092] In an embodiment of the present application, the third construction module 30 includes a second determination unit and a second construction unit.

[0093] Among them, the second determination unit is used to determine the carbon emission amount of the carbon anode electrochemical reaction, the industrial process anode effect carbon emission amount and the net purchase power indirect carbon emission amount of the electrolytic aluminum load; and the second construction unit is used to construct the dynamic carbon emission model according to the carbon emission amount of the carbon anode electrochemical reaction, the industrial process anode effect carbon emission amount and the net purchase power indirect carbon emission amount of the electrolytic aluminum load.

[0094] In an embodiment of the present application, the constraint condition constructed by the first construction module 10 at least includes the power, series current, production temperature, power adjustment state, power change amount, rated current efficiency and yield constraint condition of the electrolytic aluminum load.

[0095] In an embodiment of the present application, the constraint condition constructed by the first construction module 10 at least includes the power, series current, production temperature, power adjustment state, power change amount, rated current efficiency and yield constraint condition of the electrolytic aluminum load.

[0096] Further, the application further provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to realize the electrolytic aluminum load low-carbon economic dispatching method.

[0097] Further, the application further provides an electronic device, which comprises a memory, a processor and a computer program stored in the memory and executable on the processor, and the processor executes the computer program to realize the electrolytic aluminum load low-carbon economic dispatching method.

[0098] The application is further described below through specific examples:

[0099] Taking an aluminum plant in Yunnan, China as an example, each production series in the aluminum plant can be regarded as an electrolytic aluminum load. The parameters of the two electrolytic aluminum loads involved in the embodiment are shown in Table 1. The carbon emission factor of the regional power grid is selected as the average carbon emission factor of the national power in 2022, which is 0.5366 kgCO2 / kWh, and the carbon tax price is taken as 100 ￥ / t. In order to guarantee the safety and conservatism in 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. Two comparison schemes are set in this paper. Scheme 1: the electrolytic aluminum load keeps constant power operation, and the cost and carbon emission are calculated; Scheme 2: the electrolytic aluminum load is operated in the low-carbon economic dispatching model, and the maximum power is set to 105% of the rated power. It should be noted that the two electrolytic aluminum loads in Table 1 are involved in the optimization, and the simulation results are the overall results.

[0100] Table 1 Related technical parameters of an aluminum plant

[0101]

[0102] Table 2 is the economic comparison of the electrolytic aluminum load under different schemes. It can be seen that, compared with the constant rated power operation mode, the proposed method reduces the total operation cost of the electrolytic aluminum load by 2.66%, in which the electricity cost is reduced by 4.11% and the carbon tax cost is reduced by 3.56%. After power regulation of the electrolytic aluminum load under the proposed scheme, the regulation cost will be significantly increased, which is composed of yield loss cost, incremental capacity price cost and yield increase benefit; and the regulation cost of the electrolytic aluminum load accounts for only 1.43% of the total operation cost, while the electricity cost and carbon tax cost account for 88.44% and 10.13% respectively, so the regulation cost has little effect on the total operation cost. Under the current peak-valley time-of-use electricity price mechanism, the electrolytic aluminum load can reduce the total operation cost to a certain extent by optimizing the power arrangement, and the saved electricity cost and carbon tax cost are enough to cover the increased regulation cost. Therefore, the total operation cost of the electrolytic aluminum load under the proposed scheme is effectively reduced. Table 3 is the carbon emission of the electrolytic aluminum load under different schemes. Compared with the constant rated power operation mode, the proposed method reduces the total carbon emission by 3.56%. Moreover, most of the carbon emission reduction of the electrolytic aluminum load comes from the indirect carbon emission of net purchased power and the carbon emission of carbon anode electrochemical reaction, and the carbon emission reduction of industrial process anode effect is small. Specifically, the indirect carbon emission from net purchased power has the largest reduction of 3.70%, followed by the carbon emission of carbon anode electrochemical reaction, with a reduction of 3.18%, and the carbon emission of industrial process anode effect has the smallest reduction of 2.00%.

[0103] Table 2 Economic indicators of electrolytic aluminum load under different schemes

[0104]

[0105] Table 3 Carbon emissions of electrolytic aluminum load under different schemes

[0106]

[0107] Figure 3 The power regulation and temperature change of the electrolytic aluminum load in the proposed scheme are shown in the schematic diagram, in which EAL1 and EAL2 are the power regulation of the two electrolytic aluminum load series, and TL1 and TL2 are the temperature change of the two electrolytic aluminum load series. Obviously, the operating power of the electrolytic aluminum load EAL1 and EAL2 does not exceed the rated power, and the corresponding incremental capacity price cost is also zero, so the regulation cost is also small; TL1 and TL2 are also strictly within the range of 950℃~970℃. Therefore, when the electrolytic aluminum load operates under the proposed scheme, it can effectively control the carbon emission, and the power regulation and temperature change strictly meet the safety requirements of the production process, and the regulation range is relatively small, which is easy to practice in the aluminum plant.

[0108] In summary, the present application combines the actual production operation characteristics, production safety regulation characteristics, yield characteristics and dynamic carbon emission characteristics of the electrolytic aluminum load, finely depicts the production regulation characteristics and carbon emission characteristics of the electrolytic aluminum load, and constructs a fine regulation model, a comprehensive cost model and a dynamic carbon emission model of low-carbon scheduling of the electrolytic aluminum load according to the production regulation characteristics and carbon emission characteristics of the electrolytic aluminum load, and accordingly constructs a low-carbon economic optimization scheduling model of the electrolytic aluminum load, so as to minimize the daily operation cost of the electrolytic aluminum load and reduce carbon emissions through the low-carbon economic optimization scheduling model. Thus, the present application considers the production regulation characteristics, carbon emission characteristics and comprehensive cost of the high-energy-consumption electrolytic aluminum load, realizes low-carbon economic scheduling operation of the electrolytic aluminum regulation under time-of-use electricity price, and can minimize the daily operation cost and reduce load carbon emissions.

[0109] It should be noted that, in this document, the terms such as first and second are used merely to distinguish one entity or action from another, and do not necessarily require or imply any such actual relationship or order between such entities or actions. Also, the terms "comprises", "comprising", or any other variations thereof are intended to cover a non-exclusive inclusion, so that a process, method, article, or apparatus that comprises a list of elements does not include only those elements, but can also include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without more limitations, an element defined by the statement "comprises a" does not exclude the existence of additional identical elements in the process, method, article, or apparatus that includes the element.

[0110] Although the content of the present application has been described in detail through the above preferred embodiments, it should be recognized that the above description should not be considered as limiting the present application. After reading the above content, various modifications and alternatives of the present application will be apparent to those skilled in the art. Therefore, the protection scope of the present application should be defined by the appended claims.

Claims

1. A low-carbon economic dispatch method for electrolytic aluminum load, characterized in that, The method comprises the following steps: constructing a fine regulation model of the electrolytic aluminum load in an effective yield interval based on actual production operation characteristics, production safety regulation characteristics and yield characteristics of the electrolytic aluminum load, the fine regulation model being a constraint condition of a low-carbon economic optimization scheduling model; constructing a comprehensive cost model of the electrolytic aluminum load in the effective yield interval based on the yield characteristics of the electrolytic aluminum load; constructing 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; constructing the low-carbon economic optimization scheduling model based on the comprehensive cost model, the dynamic carbon emission model and the constraint condition, so as to minimize daily operation cost of the electrolytic aluminum load and reduce carbon emission through the low-carbon economic optimization scheduling model, and realize low-carbon economic scheduling of the electrolytic aluminum load; wherein the comprehensive cost model is represented as follows: ； ； ； ； ； wherein, is the cost of electricity for the electrolytic aluminum load at t the time of the power purchase; is the time-of-use electricity rate for the electrolytic aluminum load to purchase electricity from the grid; is the cost of electricity for the electrolytic aluminum load at t the time of the production loss; is the spot market price of aluminum for the season; is the production for the electrolytic aluminum load at t the time; is the rated production for the electrolytic aluminum load at t the time; is the benefit of increased production for the electrolytic aluminum load at t the time; is the cost of capacity rate increase for the electrolytic aluminum load at t the time; is the capacity rate standard for the electrolytic aluminum load; is the rated power for the electrolytic aluminum load , is the power for the electrolytic aluminum load at the time; is the total cost for the electrolytic aluminum load at t the time; is the series current rating for the electrolytic aluminum load ; is the series current for the electrolytic aluminum load at the time; is the series current inherent upper limit for the electrolytic aluminum load . the dynamic carbon emission model is represented as follows: ； ； ； ； ； ； ； wherein, is the electrolytic aluminum load at the carbon emissions of the carbon anode electrochemical reaction at the time instant; J is the total number of electrolytic aluminum loads; is the dispatch period; is the carbon dioxide emission factor of the carbon anode consumption; is the net consumption of carbon anode per ton of aluminum; is the average sulfur content of the carbon anode; is the average ash content of the carbon anode; is the electrolytic aluminum load the rated net consumption of carbon anode per ton of aluminum; is the electrolytic aluminum load the production temperature at the time instant; is the rated temperature of the electrolytic aluminum production; is the electrolytic aluminum load the industrial process anode effect carbon emissions at the time instant; , are respectively the carbon tetrafluoride emission factor, the carbon dioxide hexafluoride emission factor of the anode effect; , are respectively the global warming potential of carbon tetrafluoride, carbon dioxide hexafluoride; is the electrolytic aluminum load the net indirect carbon emissions of the electricity purchased at the time instant; is the regional grid emission factor; is the directly consumed green electricity power; is the dynamic carbon emissions of the electrolytic aluminum load; the low-carbon economic optimization scheduling model comprises a target function and the constraint condition, and the target function is represented as follows: ； wherein, is a carbon tax penalty coefficient, F represents solving the objective function of the low-carbon economic optimal scheduling model through the constraint condition.

2. The low-carbon economic dispatch method for electrolytic aluminum load according to claim 1, characterized in that, The comprehensive cost model is constructed, comprising: determining power cost, yield loss cost, yield increase benefit and capacity price increment cost of the electrolytic aluminum load; constructing the comprehensive cost model according to the power cost, yield loss cost, yield increase benefit and capacity price increment cost of the electrolytic aluminum load.

3. The low-carbon economic dispatch method for electrolytic aluminum load according to claim 1, characterized in that, The dynamic carbon emission model is constructed, comprising: determining carbon emission amount of carbon anode electrochemical reaction, industrial process anode effect carbon emission amount and indirect carbon emission amount of net purchased power of the electrolytic aluminum load; constructing the dynamic carbon emission model according to the carbon emission amount of carbon anode electrochemical reaction, the industrial process anode effect carbon emission amount and the indirect carbon emission amount of net purchased power of the electrolytic aluminum load.

4. The low-carbon economic dispatch method of electrolytic aluminum load according to any one of claims 1-3, characterized in that, The constraint condition at least comprises power, series current, production temperature, power regulation state, power change amount, rated current efficiency and yield constraint conditions of the electrolytic aluminum load.

5. A dispatching device based on the low-carbon economic dispatching method of the electrolytic aluminum load according to any one of claims 1-4, characterized in that, The method comprises the following steps: a first construction module is configured to construct a fine regulation model of the electrolytic aluminum load in an effective yield interval based on actual production operation characteristics, production safety regulation characteristics and yield characteristics of the electrolytic aluminum load, the fine regulation model being a constraint condition of a low-carbon economic optimization scheduling model; a second construction module is configured to construct a comprehensive cost model of the electrolytic aluminum load in the effective yield interval based on the yield characteristics of the electrolytic aluminum load; a third construction module is configured to 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; a fourth construction module is configured to construct the low-carbon economic optimization scheduling model based on the comprehensive cost model, the dynamic carbon emission model and the constraint condition, so as to minimize daily operation cost of the electrolytic aluminum load and reduce carbon emission through the low-carbon economic optimization scheduling model, and realize 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 construction module comprises: a first determination unit is configured to determine power cost, yield loss cost, yield increase benefit and capacity price increment cost of the electrolytic aluminum load; a first construction unit is configured to construct the comprehensive cost model according to the power cost, yield loss cost, yield increase benefit and capacity price increment 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 construction module comprises: A second determination unit configured to determine carbon emissions of carbon anode electrochemical reactions of the aluminum electrolysis load, industrial process anode effect carbon emissions, and net purchased power indirect carbon emissions; A second construction unit configured to construct the dynamic carbon emission model according to the carbon emissions of carbon anode electrochemical reactions of the aluminum electrolysis load, the industrial process anode effect carbon emissions, and the net purchased power indirect carbon emissions.

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

9. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program, when executed by a processor, implements the low-carbon economic scheduling method for the aluminum electrolysis load according to any one of claims 1-4.

10. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor, when executing the computer program, implements the low-carbon economic scheduling method for the aluminum electrolysis load according to any one of claims 1-4.

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