An Optimization Method, Device and Medium for Electrolytic Lead Load under Time-of-Use Electricity Price

Abstract

The present invention relates to a method, device and medium for optimizing the electrolytic lead load under time-of-use electricity prices, belonging to the technical field of electrolytic lead load optimization. The method includes the following steps: obtaining the electrolytic lead load power and constructing an electricity cost model under time-of-use electricity prices to calculate the electricity costs at different times. Obtaining the operating data of the electrolytic cell, calculating the current density to determine the electrolytic efficiency, and constructing an electrochemical loss cost model. Constructing a device loss cost model based on the current density. Formulating load constraints, combining the electricity cost, electrochemical loss cost and device loss cost, constructing an optimization model with the goal of minimizing the total cost, and obtaining the load power adjustment amount by solving the model, and then adjusting the load power. The present invention effectively reduces the electricity cost and improves the economic benefit by accurately calculating the electricity costs at different times and optimizing the adjustment strategy.

Description

Technical Field

[0001] The present invention relates to a method, device and medium for optimizing the load of electrolytic lead under time-of-use electricity price, and belongs to the technical field of optimizing the load of electrolytic lead. Background Art

[0002] In modern industrial production, electrolytic lead, as an important metal smelting process, is widely used in fields such as lead-acid batteries and lead alloy products. Since the electrolytic lead production process requires a large amount of power support, the power cost occupies an important proportion in the production cost. With the reform of the power market and the implementation of the time-of-use electricity price policy, the electricity price shows significant differences in different time periods. The time-of-use electricity price policy aims to guide users to adjust their electricity consumption behaviors through price signals, optimize the allocation of power resources, and thus improve the operating efficiency and economy of the power system. However, in the traditional electrolytic lead production process, the application of power load optimization technology lags behind. The existing optimization methods usually rely on fixed production parameters and simple load adjustment strategies, and it is difficult to comprehensively consider the dynamic changes of time-of-use electricity prices and the complex constraint conditions during the operation of electrolytic cells.

[0003] The prior art, such as the Chinese patent application with the publication number "CN1467310A", discloses a time-of-use power supply optimization scheduling technology for zinc electrolysis process, including the following steps: establishing a fuzzy neural network model between current density, power consumption and current efficiency, and online automatically correcting the model parameters according to the changing production conditions; establishing an optimization control model with the power consumption cost of the zinc electrolysis process as the objective and the output and production process as the constraint conditions; using the penalty function method and the heuristic simulated annealing method with mutation operation and variable search space to solve the time-of-use power supply optimization scheduling problem of zinc electrolysis and providing the optimal time-of-use power supply scheduling scheme in real time. However, the above patent mainly considers the constraints of output and process conditions, which, although important, may not be sufficient to comprehensively reflect various limiting factors in the actual production process. And the above patent uses the penalty function method and the heuristic simulated annealing method with mutation operation and variable search space to solve the optimization problem. This method has certain effectiveness in dealing with complex nonlinear optimization problems, but there are problems such as low solution efficiency or falling into local optimal solutions. Summary of the Invention

[0004] In order to solve the problems existing in the above prior art, the present invention proposes a method, device and medium for optimizing the load of electrolytic lead under time-of-use electricity price.

[0005] The technical solution of the present invention is as follows:

[0006] On the one hand, the present invention provides a method for optimizing the load of electrolytic lead under time-of-use electricity price, including the following steps:

[0007] Obtain the electrolytic lead load power, construct a electricity cost model of the electrolytic lead load under the time-of-use electricity price based on the electrolytic lead load power, and output the electricity cost of the electrolytic lead load under the time-of-use electricity price;

[0008] Obtain the operation data of the electrolytic cell of the electrolytic lead load;

[0009] Calculate the current density of the electrolytic cell based on the operation data of the electrolytic cell, and determine the electrolysis efficiency of the electrolytic cell according to the current density of the electrolytic cell;

[0010] Construct an electrochemical loss cost model for adjusting the electrolytic lead load power based on the electrolysis efficiency of the electrolytic cell, and output the electrochemical loss cost for adjusting the electrolytic lead load power;

[0011] Construct an equipment loss cost model when adjusting the electrolytic lead load power based on the current density of the electrolytic cell, and output the equipment loss cost when adjusting the electrolytic lead load power;

[0012] Formulate the electrolytic lead load constraint, and construct a total cost optimization model with the goal of minimizing the total cost based on the electricity cost of the electrolytic lead load under the time-of-use electricity price, the electrochemical loss cost of adjusting the electrolytic lead load power, the equipment loss cost when adjusting the electrolytic lead load power, and the electrolytic lead load constraint;

[0013] Solve the total cost optimization model to obtain the adjustment amount of the electrolytic lead load power, and adjust the electrolytic lead load power based on the adjustment amount.

[0014] As a preferred embodiment, the electricity cost model of the electrolytic lead load under the time-of-use electricity price is constructed based on the electrolytic lead load power, and the electricity cost of the electrolytic lead load under the time-of-use electricity price is output, which is expressed by the formula:

[0015] ;

[0016] ;

[0017] In the formula, represents the electricity cost of the electrolytic lead load under the time-of-use electricity price, represents the total duration of the optimization period for presetting the adjustment of the electrolytic lead load power, represents the time index, represents the electrolytic lead load power at time represents the time-of-use electricity price at time

[0018] As a preferred embodiment, the specific steps for calculating the current density of the electrolytic cell based on the operation data of the electrolytic cell and determining the electrolysis efficiency of the electrolytic cell according to the current density of the electrolytic cell are as follows:

[0019] The operating data of the electrolytic cell include the cell voltage of the electrolytic cell and the electrode area of the electrolytic cell;

[0020] Calculate the current density of the electrolytic cell based on the operating data of the electrolytic cell, which is expressed by the formula:

[0021] ;

[0022] ;

[0023] In the formula, represents the current density of the electrolytic cell at time represents the electrolytic lead load power at time represents the cell voltage of the electrolytic cell, represents the electrode area of the electrolytic cell, represents the total duration of the optimization period for preset electrolytic lead load power adjustment, represents the time index;

[0024] Determine the electrolysis efficiency of the electrolytic cell according to the current density of the electrolytic cell, which is expressed by the formula:

[0025] ;

[0026] In the formula, represents the electrolysis efficiency of the electrolytic cell at time , , represent the efficiency decay coefficients.

[0027] As a preferred embodiment, construct an electrochemical loss cost model for electrolytic lead load power adjustment based on the electrolysis efficiency of the electrolytic cell, which is expressed by the formula:

[0028] ;

[0029] In the formula, represents the electrochemical loss cost of electrolytic lead load power adjustment, represents the electrolysis efficiency under the rated current density, represents the lead unit output revenue, represents the lead production per unit of electric energy.

[0030] As a preferred embodiment, construct an equipment loss cost model for electrolytic lead load power regulation based on the current density of the electrolytic cell, which is expressed by the formula:

[0031] ;

[0032] In the formula, Represents the equipment loss cost during the adjustment of the electrolytic lead load power, Represents the polarization loss coefficient, Represents The rate of change of the electrolytic cell current density with respect to time at time Represents the corrosion loss coefficient, Represents The electrolyte temperature at time

[0033] As a preferred embodiment, the formulated electrolytic lead load constraints include electrolyte temperature constraints, electrolytic lead load power energy consumption constraints, electrolytic lead load power change constraints, electrolytic cell current density constraints, and electrolytic lead load power balance constraints, where:

[0034] The electrolyte temperature constraint is expressed by the formula:

[0035] ;

[0036] In the formula, Represents the minimum preset electrolyte temperature, Represents The electrolyte temperature at time Represents the maximum preset electrolyte temperature;

[0037] The electrolytic lead load power energy consumption constraint is expressed by the formula:

[0038] ;

[0039] In the formula, Represents the total energy consumption during the total duration of the optimization period for the preset electrolytic lead load power adjustment, Represents the total duration of the optimization period for the preset electrolytic lead load power adjustment;

[0040] The electrolytic lead load power change constraint is expressed by the formula:

[0041] ;

[0042] In the formula, Represents the preset electrolytic lead load power change amount, Represents The electrolytic lead load power at time Represents taking the absolute value;

[0043] The electrolytic cell current density constraint is expressed by the formula:

[0044] ;

[0045] In the formula, Represents the minimum preset electrolytic cell current density, Represents The electrolytic cell current density at a moment represents the maximum value of the preset electrolytic cell current density;

[0046] The electrolytic lead load power balance constraint is expressed by the formula as:

[0047] ;

[0048] In the formula, represents the power of the power grid at a moment represents the amount of load reduction at a moment represents the output of the generator at a moment

[0049] As a preferred embodiment, based on the electricity cost of the electrolytic lead load under the time-of-use electricity price, the electrochemical loss cost of the electrolytic lead load power adjustment, the equipment loss cost during the electrolytic lead load power regulation, and the electrolytic lead load constraint, a total cost optimization model with the goal of minimizing the total cost is constructed, and is expressed by the formula as:

[0050] ;

[0051] ;

[0052] In the formula, represents the minimum value function represents the electricity cost of the electrolytic lead load under the time-of-use electricity price represents the electrochemical loss cost of the electrolytic lead load power adjustment represents the equipment loss cost during the electrolytic lead load power regulation represents the total cost of the optimization period of the preset electrolytic lead load power adjustment represents the electricity cost weight represents the electrochemical loss cost weight represents the equipment loss cost weight represents the constraint condition

[0053] As a preferred embodiment, the total cost optimization model is solved by mathematical calculation and the optimization solver in the simulation software matlab

[0054] On the other hand, the present invention also provides an electronic device, on which a computer program is stored, and when the computer program is executed by a processor, it implements the electrolytic lead load optimization method under the time-of-use electricity price as described in any embodiment of the present invention

[0055] On the other hand, the present invention also provides a computer-readable storage medium for storing one or more programs, which, when executed by the one or more processors, cause the one or more processors to implement the electrolytic lead load optimization method under time-of-use electricity price as described in any embodiment of the present invention.

[0056] The present invention has the following beneficial effects:

[0057] 1. By constructing an electricity cost model of the electrolytic lead load under time-of-use electricity price, the present invention can accurately calculate the electricity costs in different electricity price periods, optimize the adjustment strategy of the electrolytic lead load power, reduce the electricity expenditure, and improve the economic benefits.

[0058] 2. By monitoring the operation data of the electrolytic cell, calculating the current density of the electrolytic cell, determining the electrolysis efficiency, and constructing an electrochemical loss cost model, the present invention helps to identify and reduce the electrochemical loss costs caused by the decrease in electrolysis efficiency, and improve the overall production efficiency.

[0059] 3. The present invention also considers the equipment loss costs during the adjustment of the electrolytic lead load power, including polarization loss and corrosion loss, etc. By optimizing the adjustment strategy of the electrolytic lead load power, the equipment loss can be reduced, the service life of the equipment can be extended, and the maintenance cost can be lowered.

[0060] 4. By formulating the constraints on the change of the electrolytic lead load power, the present invention can ensure the smooth change of the load, and avoid damage to the production equipment caused by excessive fluctuations. Description of the Drawings

[0061] Figure 1 It is a flowchart of the method implementation of the present invention. Detailed Embodiments

[0062] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0063] It should be understood that the step numbers used in the text are only for convenience of description and do not limit the execution order of the steps.

[0064] It should be understood that the terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the specification of the present invention and the appended claims, unless otherwise clearly specified in the context, the singular forms "a", "an" and "the" are intended to include the plural forms.

[0065] The terms "comprising" and "including" indicate the presence of the described features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or their combinations.

[0066] The term "and / or" refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0067] Example 1:

[0068] See Figure 1 , the present invention provides an electrolytic lead load optimization method under time-of-use electricity price, including the following steps:

[0069] Obtain the electrolytic lead load power, construct an electricity cost model of the electrolytic lead load under time-of-use electricity price based on the electrolytic lead load power, and output the electricity cost of the electrolytic lead load under time-of-use electricity price;

[0070] Obtain the operating data of the electrolytic cells of the electrolytic lead load;

[0071] Calculate the electrolytic cell current density based on the operating data of the electrolytic cells, and determine the electrolytic efficiency of the electrolytic cells according to the electrolytic cell current density;

[0072] Construct an electrochemical loss cost model for adjusting the electrolytic lead load power based on the electrolytic efficiency of the electrolytic cells, and output the electrochemical loss cost for adjusting the electrolytic lead load power;

[0073] Construct an equipment loss cost model for adjusting the electrolytic lead load power based on the electrolytic cell current density, and output the equipment loss cost for adjusting the electrolytic lead load power;

[0074] Formulate electrolytic lead load constraints, and construct a total cost optimization model with the goal of minimizing the total cost based on the electricity cost of the electrolytic lead load under time-of-use electricity price, the electrochemical loss cost for adjusting the electrolytic lead load power, the equipment loss cost for adjusting the electrolytic lead load power, and the electrolytic lead load constraints;

[0075] Solve the total cost optimization model to obtain the adjustment amount of the electrolytic lead load power, and adjust the electrolytic lead load power based on the adjustment amount.

[0076] Under the time-of-use electricity price mechanism, the electricity cost expenditure is directly related to the electricity consumption period and power level. The power adjustment of the electrolytic lead load in different periods will change the total electricity consumption, and the electricity price is differentially priced according to peak, flat, and valley periods. To accurately reflect the impact of electricity price fluctuations on the cost, it is necessary to match the power curve with the real-time electricity price, and calculate the total electricity cost of the optimization period of the preset electrolytic lead load power adjustment through integration.

[0077] As a preferred embodiment, the electricity cost model of the electrolytic lead load under the time-of-use electricity price is constructed based on the electrolytic lead load power, and the electricity cost of the electrolytic lead load under the time-of-use electricity price is output, which is expressed by the formula:

[0078] ;

[0079] ;

[0080] In the formula, represents the electricity cost of the electrolytic lead load under the time-of-use electricity price, represents the total duration of the optimization period for the preset adjustment of the electrolytic lead load power, represents the time index, represents the electrolytic lead load power at time represents the time-of-use electricity price at time

[0081] The electrolytic cell is the core production equipment of the electrolytic lead load, and a large current of several hundred or even several thousand amperes needs to be passed through it for electrolysis reaction and production of the final product. The electrolytic cell current density at time has a non-linear relationship with the electrolysis efficiency η(t), and the influence of the current density is fitted by a quadratic function.

[0082] As a preferred embodiment, the electrolytic cell current density is calculated based on the operating data of the electrolytic cell, and the electrolysis efficiency of the electrolytic cell is determined according to the electrolytic cell current density. The specific steps are as follows:

[0083] The operating data of the electrolytic cell includes the cell voltage of the electrolytic cell and the electrode area of the electrolytic cell;

[0084] The electrolytic cell current density is calculated based on the operating data of the electrolytic cell, which is expressed by the formula:

[0085] ;

[0086] ;

[0087] In the formula, represents the electrolytic cell current density at time represents the electrolytic lead load power at time represents the cell voltage of the electrolytic cell, represents the electrode area of the electrolytic cell, represents the total duration of the optimization period for the preset adjustment of the electrolytic lead load power, represents the time index;

[0088] Determine the electrolysis efficiency of the electrolytic cell according to the current density of the electrolytic cell, which is expressed by the formula:

[0089] ;

[0090] In the formula, represents the electrolysis efficiency of the electrolytic cell at time , , represent the efficiency decay coefficient.

[0091] When the power adjustment causes the current density to deviate from the optimal value, the electrolysis efficiency drops significantly. For example, too high a current density causes concentration polarization, and too low a current density results in insufficient reaction rate. The efficiency decay will directly increase the power consumption per unit output, and it is necessary to quantify the additional impact of the efficiency loss on the cost.

[0092] As a preferred embodiment, an electrochemical loss cost model for adjusting the load power of electrolytic lead is constructed based on the electrolysis efficiency of the electrolytic cell, which is expressed by the formula:

[0093] ;

[0094] In the formula, represents the electrochemical loss cost of adjusting the load power of electrolytic lead, represents the electrolysis efficiency under the rated current density, represents the income per unit output of lead, represents the lead production per unit electric energy.

[0095] Frequent power adjustment will accelerate the polarization loss and corrosion rate of the electrode. The polarization loss is proportional to the square of the change amplitude of the current density and the duration, while the corrosion rate is related to the current density and the electrolyte temperature. It is necessary to establish a dynamic loss model to quantify the long-term impact of power adjustment on the equipment life.

[0096] As a preferred embodiment, an equipment loss cost model for adjusting the load power of electrolytic lead is constructed based on the current density of the electrolytic cell, which is expressed by the formula:

[0097] ;

[0098] In the formula, represents the equipment loss cost when adjusting the load power of electrolytic lead, represents the polarization loss coefficient, represents the change rate of the current density of the electrolytic cell at time represents the corrosion loss coefficient, represents the electrolyte temperature at time

[0099] The temperature of the electrolyte in the electrolytic cell directly affects the rate of the electrochemical reaction, the conductivity of the electrolyte, and the corrosion rate of the electrodes. Excessive temperature will accelerate side reactions such as oxygen evolution and hydrogen evolution, resulting in a decrease in electrolysis efficiency and oxidation of the electrode material; too low temperature will increase the solution resistance and increase the ineffective power consumption. In addition, drastic temperature fluctuations may cause thermal stress deformation of the electrolytic cell, threatening the equipment's sealing performance. Therefore, corresponding constraints on the lead electrolysis load are formulated.

[0100] As a preferred implementation, the formulated constraints on the lead electrolysis load include electrolyte temperature constraints, lead electrolysis load power energy consumption constraints, lead electrolysis load power change constraints, electrolytic cell current density constraints, and lead electrolysis load power balance constraints, where:

[0101] The electrolyte temperature constraint is expressed by the formula:

[0102] ;

[0103] In the formula, represents the minimum value of the preset electrolyte temperature, represents the electrolyte temperature at time represents the maximum value of the preset electrolyte temperature;

[0104] The lead electrolysis load power energy consumption constraint is expressed by the formula:

[0105] ;

[0106] In the formula, represents the total energy consumption of the optimization period for the preset adjustment of the lead electrolysis load power, represents the total duration of the optimization period for the preset adjustment of the lead electrolysis load power;

[0107] The lead electrolysis load power change constraint is expressed by the formula:

[0108] ;

[0109] In the formula, represents the preset change amount of the lead electrolysis load power, represents the lead electrolysis load power at time represents taking the absolute value;

[0110] The electrolytic cell current density constraint is expressed by the formula:

[0111] ;

[0112] In the formula, represents the minimum value of the preset electrolytic cell current density, represents The electrolytic cell current density at a moment represents the maximum value of the preset electrolytic cell current density;

[0113] The electrolytic lead load power balance constraint is expressed by the formula:

[0114] ;

[0115] In the formula, represents the grid power at a moment, represents the load reduction amount at a moment, represents the generator output at a moment.

[0116] Under the time-of-use electricity price policy, reducing the electricity cost of the electrolytic lead load may require increasing the power, but it will lead to a decrease in efficiency and equipment loss; maintaining stable production can reduce penalties, but may miss the low-price electricity period. Therefore, it is necessary to find the power curve with the lowest total cost through mathematical optimization. Considering the electricity cost, efficiency decay and equipment loss cost, a weight coefficient is introduced to balance the conflict between short-term electricity cost savings and long-term equipment maintenance.

[0117] As a preferred implementation manner, based on the electricity cost of the electrolytic lead load under the time-of-use electricity price, the electrochemical loss cost of the electrolytic lead load power adjustment, the equipment loss cost during the electrolytic lead load power regulation, and the electrolytic lead load constraint, a total cost optimization model with the goal of minimizing the total cost is constructed, which is expressed by the formula:

[0118] ;

[0119] ;

[0120] In the formula, represents the minimum value function, represents the electricity cost of the electrolytic lead load under the time-of-use electricity price, represents the electrochemical loss cost of the electrolytic lead load power adjustment, represents the equipment loss cost during the electrolytic lead load power regulation, represents the total cost of the optimization period of the preset electrolytic lead load power adjustment, represents the electricity cost weight, represents the electrochemical loss cost weight, represents the equipment loss cost weight, represents the constraint condition.

[0121] As a preferred implementation manner, the total cost optimization model is solved through mathematical calculation and the optimization solver in the simulation software matlab.

[0122] Iterative optimization is carried out using mathematical calculations and the optimization solver in the simulation software Matlab to solve the total cost optimization model. First, it is necessary to discretize time and set initial values, and calculate the costs such as electricity charges and efficiency losses at the electrolytic lead load power at time , then adjust the electrolytic lead load power at time , check whether the electrolytic lead load constraint is violated, and finally select the adjustment direction of the electrolytic lead load power at time

[0123] Example 2:

[0124] This example provides an electronic device with a computer program stored thereon. When the computer program is executed by a processor, it implements the electrolytic lead load optimization method under time-of-use electricity price as described in any embodiment of the present invention.

[0125] Example 3:

[0126] This example provides a computer-readable storage medium for storing one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the electrolytic lead load optimization method under time-of-use electricity price as described in any embodiment of the present invention.

[0127] In the embodiments of the present application, "at least one" means one or more, and "a plurality" means two or more. "And / or" describes the association relationship of associated objects and indicates that three relationships may exist. For example, A and / or B may represent the situation where A exists alone, A and B exist simultaneously, or B exists alone. Where A and B may be singular or plural. The character " / " generally represents an "or" relationship between the associated objects before and after. "At least one of the following" and its similar expressions refer to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b, and c may represent: a, b, c, a and b, a and c, b and c, or a and b and c, where a, b, and c may be single or multiple.

[0128] Those of ordinary skill in the art can realize that the units and algorithm steps described in the embodiments disclosed herein can be implemented by a combination of electronic hardware, computer software, and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professionals can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of the present application.

[0129] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0130] In several embodiments provided in the present application, if any function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art or a part of this technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present application. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM for short), random access memories (RAM for short), magnetic disks, or optical discs that can store program codes.

[0131] The above are only the embodiments of the present invention, and thus do not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the content of the specification and drawings of the present invention, or directly or indirectly applied in other related technical fields, shall be equally included in the patent protection scope of the present invention.

Claims

1. An electrolytic lead load optimization method under time-of-use electricity price, characterized in that, Including the following steps: Obtain the electrolytic lead load power, construct an electricity cost model of the electrolytic lead load under time-of-use electricity prices based on the electrolytic lead load power, and output the electricity cost of the electrolytic lead load under time-of-use electricity prices, which is expressed by the formula: ； ； Wherein, represents the electricity cost of the electrolytic lead load under the time-of-use electricity price, represents the total duration of the optimization period for the preset adjustment of the electrolytic lead load power, represents the time index, represents the electrolytic lead load power at the represents time-of-use electricity price at the Obtain the operating data of the electrolytic cell of the electrolytic lead load, calculate the current density of the electrolytic cell based on the operating data of the electrolytic cell, and determine the electrolysis efficiency of the electrolytic cell according to the current density of the electrolytic cell. The specific steps are as follows: The operating data of the electrolytic cell includes the cell voltage of the electrolytic cell and the electrode area of the electrolytic cell; Calculate the current density of the electrolytic cell based on the operating data of the electrolytic cell, which is expressed by the formula: ； In the formula, represents the current density of the electrolytic cell at a certain moment, represents the cell voltage of the electrolytic cell, represents the electrode area of the electrolytic cell; Determine the electrolysis efficiency of the electrolytic cell according to the current density of the electrolytic cell, which is expressed by the formula: ； In the formula, represents the electrolysis efficiency of the electrolytic cell at a certain moment, , , represent the efficiency decay coefficient; Construct an electrochemical loss cost model for the adjustment of the electrolytic lead load power based on the electrolysis efficiency of the electrolytic cell, and output the electrochemical loss cost for the adjustment of the electrolytic lead load power; Construct an equipment loss cost model during the adjustment of the electrolytic lead load power based on the current density of the electrolytic cell, and output the equipment loss cost during the adjustment of the electrolytic lead load power, which is expressed by the formula: ； In the formula, represents the equipment loss cost during the regulation of the electrolytic lead load power, represents the polarization loss coefficient, represents the rate of change of the electrolytic cell current density with respect to time at time represents the corrosion loss coefficient, represents the temperature of the electrolyte at time Formulate electrolytic lead load constraints, and construct a total cost optimization model with the goal of minimizing the total cost based on the electricity cost of the electrolytic lead load under time-of-use electricity prices, the electrochemical loss cost for the adjustment of the electrolytic lead load power, the equipment loss cost during the adjustment of the electrolytic lead load power, and the electrolytic lead load constraints; Solve the total cost optimization model to obtain the adjustment amount of the electrolytic lead load power, and adjust the electrolytic lead load power based on the adjustment amount.

2. The electrolytic lead load optimization method under time-of-use electricity price according to claim 1, wherein Construct an electrochemical loss cost model for the adjustment of the electrolytic lead load power based on the electrolysis efficiency of the electrolytic cell, which is expressed by the formula: ； In the formula, represents the electrochemical loss cost for adjusting the electrolytic lead load power, represents the electrolysis efficiency at the rated current density, represents the profit per unit output of lead, represents the lead production per unit electric energy.

3. The electrolytic lead load optimization method under time-of-use electricity price according to claim 2, characterized in that The formulated electrolytic lead load constraints include electrolyte temperature constraints, electrolytic lead load power energy consumption constraints, electrolytic lead load power change constraints, electrolytic cell current density constraints, and electrolytic lead load power balance constraints, where: The electrolyte temperature constraint is expressed by the formula: ； In the formula, represents the minimum value of the preset electrolyte temperature, represents the maximum value of the preset electrolyte temperature; The electrolytic lead load power energy consumption constraint is expressed by the formula: ； In the formula, represents the total energy consumption of the total duration of the optimization period for presetting the electrolytic lead load power adjustment; The electrolytic lead load power change constraint is expressed by the formula: ； In the formula, represents the preset change amount of the electrolytic lead load power, represents the electrolytic lead load power at time represents taking the absolute value; The electrolytic cell current density constraint is expressed by the formula: ； In the formula, represents the minimum value of the preset electrolyzer current density, represents the maximum value of the preset electrolyzer current density; The electrolytic lead load power balance constraint is expressed by the formula: ； In the formula, represents the grid power at time represents the load shedding amount at time represents the generator output at time 4. The electrolytic lead load optimization method under time-of-use electricity price according to claim 3, wherein Construct a total cost optimization model with the goal of minimizing the total cost based on the electricity cost of the electrolytic lead load under time-of-use electricity prices, the electrochemical loss cost for the adjustment of the electrolytic lead load power, the equipment loss cost during the adjustment of the electrolytic lead load power, and the electrolytic lead load constraints, which is expressed by the formula: ； ； In the formula, represents the minimum value function, represents the total cost of the optimization period for presetting the electrolytic lead load power adjustment, represents the electricity cost weight, represents the electrochemical loss cost weight, represents the equipment loss cost weight, represents the constraint condition.

5. The electrolytic lead load optimization method under time-of-use electricity price according to claim 1, characterized in that The total cost optimization model is solved through mathematical calculations and an optimization solver in the simulation software Matlab.

6. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the electrolytic lead load optimization method under time-of-use electricity prices as described in any one of claims 1 to 5.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the electrolytic lead load optimization method under time-of-use electricity prices as described in any one of claims 1 to 5.

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