Method and device for optimizing electrolytic lead load under time-of-use electricity price and medium

Abstract

The invention relates to an electrolytic lead load optimization method and device under time-of-use electricity price and a medium, and belongs to the technical field of electrolytic lead load optimization, and the method comprises the following steps: obtaining the power of an electrolytic lead load, constructing an electricity cost model under the time-of-use electricity price, and calculating the electricity cost of different time periods. Obtaining operation data of the electrolytic cell, calculating the current density to determine the electrolytic efficiency, and constructing an electrochemical loss cost model. And constructing an equipment loss cost model based on the current density. According to the method, load constraints are formulated, an optimization model with the purpose of minimizing the total cost is constructed in combination with the electric charge cost, the electrochemical loss cost and the equipment loss cost, the load power adjustment amount is obtained by solving the model, and then the load power is adjusted. According to the method, the electric charge cost of different time periods is accurately calculated, the adjustment strategy is optimized, the electric charge is effectively reduced, and the economic benefit is improved.

Description

Technical Field

[0001] The present invention relates to a method, device and medium for optimizing the electrolytic lead load under time-of-use electricity price, and belongs to the technical field of optimizing the electrolytic lead load. 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 based on fixed production parameters and simple load adjustment strategies, it is difficult to comprehensively consider the dynamic changes of time-of-use electricity price 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 of "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, although these constraints are important, they 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 non-linear optimization problems, but there are problems such as low solution efficiency or getting stuck in 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 electrolytic lead load under time-of-use electricity price.

[0005] The technical solution of the present invention is as follows: On the one hand, the present invention provides a method for optimizing the electrolytic lead load under time-of-use electricity price, 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 price based on the electrolytic lead load power, and output the electricity cost of the electrolytic lead load under time-of-use electricity price; Obtain the operation data of the electrolytic cell for electrolytic lead load; 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; Construct an electrochemical loss cost model for electrolytic lead load power adjustment based on the electrolysis efficiency of the electrolytic cell, and output the electrochemical loss cost of electrolytic lead load power adjustment; Construct an equipment loss cost model during electrolytic lead load power regulation based on the current density of the electrolytic cell, and output the equipment loss cost during electrolytic lead load power regulation; 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 of electrolytic lead load power adjustment, the equipment loss cost during electrolytic lead load power regulation, 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.

[0006] As a preferred implementation manner, the electricity cost model of the electrolytic lead load under time-of-use electricity price is constructed based on the electrolytic lead load power, and the electricity cost of the electrolytic lead load under time-of-use electricity price is output, which is expressed by the formula: ; ; In the formula, represents the electricity cost of the electrolytic lead load under time-of-use electricity price, represents the total duration of the optimization period of the preset electrolytic lead load power adjustment, represents the time index, represents the electrolytic lead load power at time represents the time-of-use electricity price at time

[0007] As a preferred implementation manner, 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: The operation 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 operation data of the electrolytic cell, which is expressed by the formula: ; ; In the formula, represents the current density of the electrolytic cell at time represents The electrolytic lead load power at a moment, 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 adjusting the preset electrolytic lead load power, represents the time index; 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 moment, , , represents the efficiency decay coefficient.

[0008] As a preferred embodiment, an electrochemical loss cost model for adjusting the electrolytic lead load power is constructed based on the electrolysis efficiency of the electrolytic cell, which is expressed by the formula: ; In the formula, represents the electrochemical loss cost of adjusting the electrolytic lead load power, represents the electrolysis efficiency at the rated current density, represents the lead unit output income, represents the lead production per unit of electric energy.

[0009] As a preferred embodiment, an equipment loss cost model during the adjustment of the electrolytic lead load power is constructed based on the current density of the electrolytic cell, which is expressed by the formula: ; 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 current density of the electrolytic cell with respect to time at a moment, represents the corrosion loss coefficient, represents the electrolyte temperature at a moment.

[0010] As a preferred embodiment, the electrolytic lead load constraints formulated 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 preset minimum electrolyte temperature, represents the electrolyte temperature at a moment, 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 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; The electrolytic lead load power change constraint is expressed by the formula: ; In the formula, represents the preset electrolytic lead load power change amount, represents the electrolytic lead load power at a moment, 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 electrolytic cell current density, represents the electrolytic cell current density at a moment, represents the maximum value of the preset electrolytic cell current density; The electrolytic lead load power balance constraint is expressed by the formula: ; In the formula, represents the grid power at a moment, represents the load shedding amount at a moment, represents the generator output at a moment.

[0011] As a preferred implementation mode, based on the electricity cost of the electrolytic lead load under 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: ; ; In the formula, represents the minimum value function, represents the electricity cost of the electrolytic lead load under time-of-use electricity price, Represents the electrochemical loss cost for adjusting the electrolytic lead load power, Represents the equipment loss cost during the adjustment of the electrolytic lead load power, Represents the total cost for the optimized cycle duration 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.

[0012] As a preferred embodiment, the total cost optimization model is solved through mathematical calculations and the optimization solver in the simulation software Matlab.

[0013] On the other hand, the present invention also 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.

[0014] On the other hand, the present invention also 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.

[0015] The present invention has the following beneficial effects: 1. By constructing an electricity cost model for the electrolytic lead load under time-of-use electricity price, the present invention can accurately calculate the electricity cost in different electricity price periods, optimize the adjustment strategy of the electrolytic lead load power, reduce the electricity cost expenditure, and improve the economic benefits.

[0016] 2. By monitoring the operation data of the electrolytic cell, calculating the current density of the electrolytic cell, and then determining the electrolysis efficiency, and constructing an electrochemical loss cost model, the present invention helps to identify and reduce the electrochemical loss cost caused by the decrease in electrolysis efficiency, and improve the overall production efficiency.

[0017] 3. The present invention also considers the equipment loss cost 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.

[0018] 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. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 Is the flowchart of the method implementation of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0020] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying 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 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.

[0021] It should be understood that the step numbers used herein are only for convenient description and do not limit the order of execution of the steps.

[0022] 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.

[0023] 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.

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

[0025] Embodiment 1: See Figure 1 , the present invention provides an electrolytic lead load optimization method under time-of-use electricity price, 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 price based on the electrolytic lead load power, and output the electricity cost of the electrolytic lead load under time-of-use electricity price; Obtain the operation data of the electrolytic cell of the electrolytic lead load; 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; 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; Construct an equipment loss cost model for adjusting the electrolytic lead load power based on the current density of the electrolytic cell, and output the equipment loss cost for adjusting the electrolytic lead load power; Formulate the electrolytic lead load constraint, and 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, construct a total cost optimization model with the goal of minimizing the total cost; 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.

[0026] Under the time-of-use electricity price mechanism, the electricity bill expenditure is directly related to the electricity consumption period and power level. The power adjustment of the electrolytic lead load at different times 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 costs, 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.

[0027] As a preferred implementation method, 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: ; ; 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 of the preset electrolytic lead load power adjustment, represents the time index, represents the electrolytic lead load power at time represents the time-of-use electricity price at time

[0028] 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 lead load is The current density of the electrolytic cell 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.

[0029] As a preferred implementation method, the current density of the electrolytic cell is calculated based on the operation data of the electrolytic cell, and the electrolysis efficiency of the electrolytic cell is determined according to the current density of the electrolytic cell. The specific steps are as follows: The operation 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 operation data of the electrolytic cell, which is expressed by the formula: ; ; 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; 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 time , , represent the efficiency decay coefficient.

[0030] 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.

[0031] As a preferred implementation, an electrochemical loss cost model for electrolytic lead load power adjustment is constructed based on the electrolysis efficiency of the electrolytic cell, which is expressed by the formula: ; 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 revenue per unit output, represents the lead production per unit electric energy.

[0032] 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.

[0033] As a preferred implementation, an equipment loss cost model for electrolytic lead load power regulation is constructed based on the current density of the electrolytic cell, which is expressed by the formula: ; In the formula, represents the equipment loss cost during electrolytic lead load power regulation, represents the polarization loss coefficient, represents the rate of change of the electrolytic cell current density with respect to time at a certain moment, represents the corrosion loss coefficient, represents the temperature of the electrolyte at a certain moment.

[0034] The temperature of the electrolyte in the electrolytic cell directly affects the rate of the electrochemical reaction, the conductivity of the electrolyte, and the rate of electrode corrosion. 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, violent temperature fluctuations may cause thermal stress deformation of the electrolytic cell, threatening the equipment sealing. Therefore, corresponding electrolytic lead load constraints are formulated.

[0035] As a preferred implementation, 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 temperature of the electrolyte at a certain moment, 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 optimization period of the preset electrolytic lead load power adjustment, represents the total duration of the optimization period of the preset electrolytic lead load power adjustment; The electrolytic lead load power change constraint is expressed by the formula: ; In the formula, represents the preset electrolytic lead load power change amount, represents the electrolytic lead load power at a certain moment, 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 electrolytic cell current density, represents the electrolytic cell current density at a certain moment, Represents the maximum value of the preset electrolytic cell current density; The power balance constraint of the lead electrolysis load is expressed by the formula: ; In the formula, represents the power of the power grid at time represents the amount of load reduction at time represents the output of the generator at time.

[0036] Under the policy of time-of-use electricity price, reducing the electricity cost of the lead electrolysis 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.

[0037] As a preferred implementation mode, based on the electricity cost of the lead electrolysis load under the time-of-use electricity price, the electrochemical loss cost of the lead electrolysis load power adjustment, the equipment loss cost during the lead electrolysis load power regulation, and the lead electrolysis load constraint, a total cost optimization model with the goal of minimizing the total cost is constructed, which is expressed by the formula: ; ; In the formula, represents the minimum value function, represents the electricity cost of the lead electrolysis load under the time-of-use electricity price, represents the electrochemical loss cost of the lead electrolysis load power adjustment, represents the equipment loss cost during the lead electrolysis load power regulation, represents the total cost of the optimization period of the preset lead electrolysis load power adjustment, represents the electricity cost weight, represents the electrochemical loss cost weight, represents the equipment loss cost weight, represents the constraint condition.

[0038] As a preferred implementation mode, the total cost optimization model is solved by mathematical calculation and the optimization solver in the simulation software matlab.

[0039] Using the optimization solver in the mathematical calculation and simulation software matlab for iterative optimization, so as to solve the total cost optimization model. First, it is necessary to discretize time and set the initial value, and calculate costs such as electricity charges and efficiency losses at the electrolytic lead load power at a certain moment, and then adjust the electrolytic lead load power at a certain moment, check whether the electrolytic lead load constraint is violated, and finally select the adjustment direction of the electrolytic lead load power at a certain moment that can reduce the total cost and meet the electrolytic lead load constraint, and repeat until the total cost no longer decreases, and finally complete the solution.

[0040] Embodiment 2: This embodiment provides an electronic device on which a computer program is stored. 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.

[0041] Embodiment 3: This embodiment 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.

[0042] 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 case 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.

[0043] 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. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present application.

[0044] Those skilled in the art can clearly understand that for the convenience and conciseness 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.

[0045] In several embodiments provided by 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 this 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. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can 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 aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks, or optical discs.

[0046] 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 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. A method for optimizing electrolytic lead load under time-of-use electricity prices, characterized in that: The following steps are involved: Obtaining the power of the lead electrolysis load, constructing an electricity cost model of the lead electrolysis load under the time-of-use electricity price based on the lead electrolysis load power, and outputting the electricity cost of the lead electrolysis load under the time-of-use electricity price; obtaining the operation data of the electrolytic cell of the lead electrolysis load, 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; An electrochemical loss cost model for lead electrolysis load power adjustment is constructed based on the electrolysis efficiency of the electrolytic cell, and the electrochemical loss cost of lead electrolysis load power adjustment is output; an equipment loss cost model for lead electrolysis load power adjustment is constructed based on the current density of the electrolytic cell, and the equipment loss cost of lead electrolysis load power adjustment is output; lead electrolysis load constraints are formulated, and a total cost optimization model with the goal of minimizing total cost is constructed based on the electricity cost of the lead electrolysis load under time-of-use electricity prices, the electrochemical loss cost of lead electrolysis load power adjustment, the equipment loss cost of lead electrolysis load power adjustment, and the lead electrolysis load constraints; the total cost optimization model is solved to obtain the adjustment amount of the lead electrolysis load power, and the lead electrolysis load power is adjusted based on the adjustment amount.

2. The method for optimizing lead electrolysis load under time-of-use electricity price according to claim 1, characterized in that: 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 as follows: ； ； In the formula, represents the electricity cost of electrolytic lead load under time-of-use electricity price, Indicates the total duration of the optimization cycle for the preset electrolytic lead load power adjustment. Represents the time index, express The electrolytic lead load power at the moment, express Time-of-use electricity prices at different times.

3. The method for optimizing lead electrolysis load under time-of-use electricity price according to claim 1, characterized in that: The electrolytic cell current density is calculated based on the operation data of the electrolytic cell, and the electrolysis efficiency of the electrolytic cell is determined according to the electrolytic cell current density, and the specific steps are: The operation data of the electrolytic cell include the cell voltage of the electrolytic cell and the electrode area of ​​the electrolytic cell; The electrolytic cell current density is calculated based on the operating data of the electrolytic cell and is expressed as: ； ； In the formula, express The electrolytic cell current density at time express The electrolytic lead load power at the moment, represents the cell voltage of the electrolytic cell, represents the electrode area of ​​the electrolytic cell, Indicates the total duration of the optimization cycle for the preset electrolytic lead load power adjustment. Represents a time index; The electrolysis efficiency of the electrolytic cell is determined according to the electrolytic cell current density, which is expressed as follows: ； In the formula, express The electrolytic efficiency of the electrolytic cell at the time, , , Represents the efficiency reduction coefficient.

4. The method for optimizing lead electrolysis load under time-of-use electricity price according to claim 3, characterized in that: Based on the electrolysis efficiency of the electrolytic cell, an electrochemical loss cost model for load power adjustment of lead electrolysis is constructed, which is expressed as follows: ； In the formula, represents the electrochemical loss cost of load power adjustment for lead electrolysis, It indicates the electrolysis efficiency at rated current density, represents the unit output revenue of lead, Indicates the amount of lead produced per unit of electrical energy.

5. The method for optimizing lead electrolysis load under time-of-use electricity price according to claim 3, characterized in that: The equipment loss cost model for lead electrolysis load power regulation is constructed based on the electrolytic cell current density, and is expressed as follows: ； In the formula, It represents the equipment loss cost when adjusting the load power of electrolytic lead. represents the polarization loss coefficient, express The rate of change of the electrolytic cell current density at the moment represents the corrosion loss coefficient, express The electrolyte temperature at the time.

6. The method for optimizing lead electrolysis load under time-of-use electricity price according to any one of claims 2 to 5, characterized in that: The formulated lead electrolysis load constraints include electrolyte temperature constraints, lead electrolysis load power consumption constraints, lead electrolysis load power change constraints, electrolytic cell current density constraints and lead electrolysis load power balance constraints, among which: The electrolyte temperature constraint is expressed as: ； In the formula, Indicates the preset minimum electrolyte temperature. express The electrolyte temperature at the time, Indicates the preset maximum electrolyte temperature; The power consumption constraint of the lead electrolysis load is expressed as follows: ； In the formula, The total energy consumption represents the total duration of the optimization cycle of the preset electrolytic lead load power adjustment, Indicates the total duration of the optimization cycle of the preset electrolytic lead load power adjustment; The electrolytic lead load power variation constraint is expressed as follows: ； In the formula, Indicates the preset change in electrolytic lead load power. express The electrolytic lead load power at the moment, Indicates taking the absolute value; The electrolytic cell current density constraint is expressed as: ； In the formula, Indicates the preset minimum current density of the electrolytic cell. express The electrolytic cell current density at time Indicates the maximum value of the preset electrolytic cell current density; The electrolytic lead load power balance constraint is expressed as: ； In the formula, express The grid power at the moment, express Reduce the load at any time, express Generator output at each moment.

7. The method for optimizing lead electrolysis load under time-of-use electricity price according to claim 6, characterized in that: 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 adjustment, and the electrolytic lead load constraint, a total cost optimization model with the goal of minimizing the total cost is constructed, which is expressed as follows: ； ； In the formula, represents the minimum function, represents the electricity cost of electrolytic lead load under time-of-use electricity price, represents the electrochemical loss cost of load power adjustment for lead electrolysis, It represents the equipment loss cost when adjusting the load power of electrolytic lead. represents the total cost of the total duration of the optimization cycle 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 a constraint.

8. The method for optimizing lead electrolysis load under time-of-use electricity price according to claim 7, characterized in that: The total cost optimization model is solved by the optimization solver in the mathematical calculation and simulation software MATLAB.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the method for optimizing lead electrolysis load under time-of-use electricity prices as described in any one of claims 1 to 8 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method for optimizing electrolytic lead load under time-of-use electricity prices as described in any one of claims 1 to 8 is implemented.

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