Electrolytic aluminum load regulation boundary and demand side response control cost calculation method

Abstract

The embodiment of the invention discloses an electrolytic aluminum load regulation boundary and demand side response control cost calculation method, which comprises the following steps of: analyzing the influence of an anode effect on an electrolytic aluminum production process, and determining an anode effect influence factor; based on the anode effect influence factors, an electrolytic aluminum load production safety boundary considering a voltage regulation margin is established; based on the anode effect influence factors, electrolytic aluminum load control cost caused by the anode effect is quantified; based on the electrolytic aluminum load production safety boundary and the electrolytic aluminum load control cost, the control cost calculation in the electrolytic aluminum load demand side response process is further refined in combination with the dynamic relation between the saturable reactor voltage regulation quantity and the anode effect occurrence probability, and a control cost model comprehensively considering the dynamic anode effect is obtained; the control cost caused by the anode effect can be quantified, and the adjustment strategy of the electrolytic aluminum load is optimized, so that the control cost is reduced, and the economical efficiency and feasibility of power grid demand response are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electrolytic aluminum, and in particular to a method for calculating an electrolytic aluminum load regulation boundary and a demand-side response control cost. Background Art

[0002] The rapid growth in the proportion of renewable energy in the power grid and the continuous influx of industrial loads have posed significant challenges to the safe and stable operation of power systems in some regions. High-energy-consuming industrial enterprises are facing increasing demands for greater capacity and flexibility in demand regulation. Furthermore, the production processes in these industries often involve high-risk processes such as high temperatures, high pressures, and high speeds. Accidents can not only cause casualties and damage to production facilities, but can also have serious impacts on the surrounding environment and public safety. The impact of demand-side response on production safety cannot be underestimated. Production safety in high-energy-consuming industries not only affects the stable production and economic profitability of enterprises but also carries the heavy responsibility of protecting the lives, property, and public safety of the people, carrying significant social significance and responsibility. Therefore, how can we fully leverage the regulation potential of high-energy-consuming industrial enterprises while ensuring production safety, achieve precise control between these enterprises and the power grid, and achieve mutual benefit and win-win outcomes for both?

[0003] For industrial loads such as electrolytic aluminum, ensuring that they meet key process constraints during the control process is the primary prerequisite for their deep participation in grid interactive control. It is very necessary to conduct detailed modeling of the impact of power regulation on core production parameters to ensure that the power support process of electrolytic aluminum has minimal impact on its production.

[0004] The anode effect during electrolytic aluminum production impacts both production safety and costs. Therefore, fully leveraging the load regulation potential of electrolytic aluminum and achieving precise control with the power grid while ensuring production safety is a pressing issue. Summary of the Invention

[0005] The main purpose of the present invention is to provide a method for calculating the electrolytic aluminum load regulation boundary and demand-side response control cost, establish an electrolytic aluminum load control cost model and a regulation boundary model considering the dynamic anode effect, and ensure the production safety of the electrolytic aluminum load.

[0006] To achieve the above objectives, the present application provides, in a first aspect, a method for calculating the electrolytic aluminum load regulation boundary and demand-side response control cost, the method comprising:

[0007] Analyze the impact of anode effect on the electrolytic aluminum production process and determine the factors affecting anode effect;

[0008] Based on the anode effect influencing factors, a safety boundary of electrolytic aluminum load production considering voltage regulation margin is established;

[0009] Based on the anode effect influencing factors, quantify the electrolytic aluminum load control cost caused by the anode effect;

[0010] Based on the electrolytic aluminum load production safety boundary and the electrolytic aluminum load control cost, combined with the dynamic relationship between the saturated reactor voltage regulation amount and the probability of the anode effect, the control cost calculation in the electrolytic aluminum load demand side response process is further refined to obtain a control cost model that comprehensively considers the dynamic anode effect.

[0011] Optionally, the anode effect influencing factors include the advantages and hazards of the anode effect:

[0012] The advantages of the anode effect include being used to determine the sensitivity of the electrolytic cell, reducing electrolyte resistance and energy consumption, and increasing the temperature in the electrolytic cell;

[0013] The hazards of the anode effect include increased cell voltage, decreased current efficiency, increased raw material loss, increased risk of production safety accidents, reduced raw aluminum quality, and environmental pollution.

[0014] Optionally, establishing a safety boundary for electrolytic aluminum load production taking into account a voltage regulation margin based on the anode effect influencing factors includes:

[0015] Determine the voltage regulation margin change based on the remaining regulation capacity of the electrolytic aluminum load and the current stabilization capability of the saturated reactor;

[0016] Based on the change in the voltage regulation margin, the adjustable range of the DC side voltage of the electrolytic aluminum load is determined, and then the adjustable range of the electrolytic aluminum load is determined.

[0017] Optionally, quantifying the electrolytic aluminum load control cost caused by the anode effect based on the anode effect influencing factors includes:

[0018] Based on the anode effect influencing factors, the loss caused by the anode effect is decomposed into four parts: power loss cost, raw material loss cost, air pollution loss cost and anode effect extinction cost, and the cost of each part is calculated separately.

[0019] Optionally, based on the electrolytic aluminum load production safety boundary and the electrolytic aluminum load control cost, and in combination with the dynamic relationship between the anode effect occurrence probability and the saturated reactor voltage adjustment amount, the control cost calculation in the electrolytic aluminum load demand side response process is further refined to obtain a control cost model that comprehensively considers the dynamic anode effect, including:

[0020] Establish the dynamic relationship expression between the probability of anode effect occurrence and the voltage regulation of saturated reactor;

[0021] Based on the dynamic relationship expression between the probability of occurrence of the anode effect and the saturated reactor voltage adjustment amount, combined with the coupling relationship between the saturated reactor voltage adjustment amount and the power adjustment amount, the electrolytic aluminum load control cost is further constructed to obtain the control cost model.

[0022] Optionally, the dynamic relationship between the anode effect occurrence probability and the saturated reactor voltage adjustment amount is expressed as follows:

[0023] ε=b1(ΔU SR ) 2 +b2(ΔU SR +U SR0 -U SRN ) 2 ,

[0024] Among them, ε is the probability of anode effect, ΔU SR is the voltage regulation value of the saturated reactor, b1 and b2 are correlation coefficients, measured by statistical laws; U SR0 is the initial voltage of the saturated reactor, U SRN is the rated voltage of the saturated reactor.

[0025] Optionally, the electrolytic aluminum load control cost expression is:

[0026] F SR =p SR (ΔP AL ) 2 +q SR (ΔP AL )+h SR ,

[0027] Where ΔP AL Indicates the power adjustment amount, p SR ,q SR 、h SR is the cost coefficient considering the regulation effect of saturated reactor.

[0028] A second aspect of the present application provides a device for calculating an electrolytic aluminum load regulation boundary and a demand-side response control cost, comprising:

[0029] Analysis module, used to analyze the impact of anode effect on the electrolytic aluminum production process and determine the factors affecting the anode effect;

[0030] A boundary establishment module, configured to establish a safety boundary for electrolytic aluminum load production taking into account a voltage regulation margin based on the anode effect influencing factors;

[0031] A cost control module, configured to quantify the electrolytic aluminum load control cost caused by the anode effect based on the anode effect influencing factors;

[0032] A model calculation module is used to further refine the control cost calculation in the electrolytic aluminum load demand side response process based on the electrolytic aluminum load production safety boundary and the electrolytic aluminum load control cost, combined with the dynamic relationship between the saturated inductor voltage adjustment amount and the probability of the anode effect, to obtain a control cost model that comprehensively considers the dynamic anode effect.

[0033] A third aspect of the present application provides an electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor performs the steps of the first aspect and any possible implementation thereof.

[0034] A fourth aspect of the present application provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, the processor executes the steps of the method described in the first aspect.

[0035] The present application provides a method for calculating the control cost of electrolytic aluminum load regulation boundary and demand-side response, which analyzes the influence of anode effect on the electrolytic aluminum production process and determines the influencing factors of anode effect; based on the influencing factors of anode effect, establishes a safety boundary of electrolytic aluminum load production taking into account voltage regulation margin; based on the influencing factors of anode effect, quantifies the control cost of electrolytic aluminum load caused by the anode effect; based on the safety boundary of electrolytic aluminum load production and the electrolytic aluminum load control cost, combined with the dynamic relationship between the voltage regulation amount of a saturated reactor and the probability of occurrence of anode effect, further refines the control cost calculation in the demand-side response process of electrolytic aluminum load, and obtains a control cost model that comprehensively considers the dynamic anode effect. This method considers the control cost generated by the anode effect in the control process of the saturated reactor to constrain the regulation amount of the saturated reactor, establishes a safety boundary of electrolytic aluminum load production taking into account voltage regulation margin, analyzes the hazards of the anode effect, quantifies the control cost generated by the anode effect, optimizes the regulation strategy of the electrolytic aluminum load, reduces the control cost, and improves the economy and feasibility of power grid demand response. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0037] in:

[0038] Figure 1 A flow chart of a method for calculating the electrolytic aluminum load regulation boundary and demand-side response control cost provided in an embodiment of the present application;

[0039] Figure 2 A schematic diagram of the coupling relationship between the voltage regulation amount and the power regulation amount of a saturated reactor provided in an embodiment of the present application;

[0040] Figure 3 A schematic diagram of the structure of a device for calculating the electrolytic aluminum load regulation boundary and demand-side response control cost provided in an embodiment of the present application;

[0041] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0042] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of this application.

[0043] The terms "first," "second," and the like in the specification and claims of this application and the accompanying drawings are used to distinguish between different objects, not to describe a particular order. Furthermore, the terms "including," "having," and any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or elements is not limited to the listed steps or elements but may optionally include steps or elements not listed, or may optionally include other steps or elements inherent to the process, method, product, or apparatus.

[0044] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute an independent or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0045] The present application mainly provides a method for calculating the control cost of electrolytic aluminum load regulation boundary and demand-side response. This calculation method focuses on the control cost caused by the anode effect during the control of saturated reactors. By constraining the regulation amount of saturated reactors, a production safety boundary system for electrolytic aluminum loads that integrates voltage regulation margin considerations is constructed. The potential hazards of the anode effect are deeply analyzed, and the control cost caused by the anode effect is quantified in all aspects. This method mainly targets the regulation cost and regulation boundary when the electrolytic aluminum load participates in the grid demand response.

[0046] The embodiments of the present application are described below in conjunction with the drawings in the embodiments of the present application.

[0047] See also Figure 1 , is a flow chart of a method for calculating the electrolytic aluminum load regulation boundary and demand-side response control cost provided in an embodiment of the present application, such as Figure 1 As shown, the method includes:

[0048] 101. Analyze the impact of anode effect on the electrolytic aluminum production process and determine the factors affecting the anode effect.

[0049] The executor of the method in the embodiment of the present application may be a device for calculating the electrolytic aluminum load regulation boundary and demand-side response control cost. In practical applications, it may be implemented on an electronic device, which may be a terminal device such as a computer.

[0050] The anode effect mentioned in the embodiments of the present application is a blockage phenomenon caused by a change in current density between the anode and the electrolyte of the electrolytic cell, which is manifested as a sharp increase in the cell voltage. Under different current densities, its value increases to 15V or even 130V. At the same time, in addition to CO2 and CO, the gas discharged by the electrochemical reaction also includes carbon fluorides such as CF4 and C2F6.

[0051] In an optional embodiment, the above-mentioned factors affecting the anode effect include the advantages and disadvantages of the anode effect:

[0052] The advantages of the anode effect mentioned above include its use in determining the sensitivity of the electrolytic cell, reducing electrolyte resistance and energy consumption, and increasing the temperature in the electrolytic cell;

[0053] The hazards of the above-mentioned anode effect include increased cell voltage, decreased current efficiency, increased raw material loss, increased risk of production safety accidents, reduced quality of raw aluminum, and environmental pollution.

[0054] Specifically, the advantages of the anode effect include:

[0055] Use the anode effect to judge the sensitivity of the electrolytic cell and determine whether the electrolytic cell is working well;

[0056] During the anode effect, carbon fluoride decomposes and precipitates a small amount of carbon particles, which reduces electrolyte resistance and energy consumption;

[0057] For some electrolytic cell loads with lower temperatures, the anode effect temperature rise is used to increase the temperature inside the cell, even to normal conditions.

[0058] The hazards of anode effect include:

[0059] The anode effect causes the cell voltage to increase by 10-20V, the current efficiency to decrease, and the power consumption per ton of aluminum to increase;

[0060] During the anode effect, the volatilization of fluoride salts in the electrolytic cell is accelerated, and the loss of raw materials increases;

[0061] During the anode effect, the electrolyte temperature rises sharply, the furnace side melts and becomes thinner, and the possibility of the anode carbon block being corroded by the electrolyte increases, which can easily lead to production safety accidents;

[0062] The series current fluctuation during the anode effect reduces the quality of the original aluminum;

[0063] The anode effect will be accompanied by the production of carbon fluorides, such as CF4 and C2F6, which seriously pollute the environment.

[0064] Overall, the disadvantages of the anode effect far outweigh its advantages. In industrial production, it is generally adopted to install a saturated inductor in the rectifier transformer bridge arm to suppress the occurrence of the anode effect. The smoothing ability of the saturated inductor is closely related to the number of times the anode effect occurs. It is necessary to conduct in-depth research on the impact of load power regulation on the anode effect.

[0065] 102. Based on the above-mentioned factors affecting the anode effect, a safety boundary for electrolytic aluminum load production is established taking into account the voltage regulation margin.

[0066] Through the above analysis, it can be seen that the saturated reactor is of great significance for suppressing the anode effect of the electrolytic cell. Under normal circumstances, the adjustment depth of the saturated reactor of the electrolytic aluminum load is [U SRmin ,U SRmax ], generally taken as 0-70V. During the demand-side response process, in order to meet production requirements and reduce the impact of electrolytic aluminum load demand-side response on production, it is necessary to reduce and adjust the regulation voltage of the saturated reactor.

[0067] In an optional implementation, the above step 102 includes:

[0068] Determine the voltage regulation margin change based on the remaining regulation capacity of the electrolytic aluminum load and the current stabilization capability of the saturated reactor;

[0069] Based on the above voltage regulation margin change, the adjustable range of the DC side voltage of the electrolytic aluminum load is determined, and then the adjustable range of the electrolytic aluminum load is determined.

[0070] Regarding the voltage regulation boundary of the electrolytic aluminum load, the voltage regulation boundary of the present application is temporarily selected as [U SRmin +ΔU,U SRmax-ΔU], where ΔU is the voltage regulation margin variation. This can be adjusted based on the specific electrolytic aluminum load conditions, but two key factors must be considered: the remaining regulation capacity of the electrolytic aluminum load and the current-stabilizing capability of the saturated reactor. If ΔU is too small, the saturated reactor loses its current-stabilizing function, which is detrimental to safe industrial production. If ΔU is too large, the adjustable capacity of the electrolytic aluminum load is small, failing to fully realize its regulation potential and making it difficult to meet grid regulation requirements.

[0071] In one implementation, ΔU may be selected to be 5V.

[0072] Furthermore, the adjustable range of the DC side voltage of the electrolytic aluminum load is:

[0073] U dmin =1.35(U AHmin -k AL (U SRmin +ΔU)) / k AL

[0074] U dmax =1.35(U AHmax -k AL (U SRmax -ΔU)) / k AL (1)

[0075] Where U dmin 、U dmax They are the minimum and maximum adjustable values ​​of the DC side voltage, U AHmin 、U AHmax are the minimum and maximum values ​​of the bus voltage respectively; k AL It is a coefficient related to the electrolytic aluminum load and is related to the characteristics or adjustment ability of the load.

[0076] At this time, the adjustable range of electrolytic aluminum load is:

[0077]

[0078] in, and They represent the minimum and maximum adjustable power of the electrolytic aluminum load within a given voltage regulation range; E AL is the rated voltage of the electrolytic aluminum load; R AL It is the equivalent resistance of the electrolytic aluminum load.

[0079] In grid demand-side response, these formulas can help grid operators determine the adjustable power range of electrolytic aluminum loads under different voltage regulation strategies, thereby optimizing the peak and frequency regulation capabilities of the grid.

[0080] By precisely controlling the output power of the electrolytic aluminum load, the stability and reliability of the power grid can be improved, while reducing the control costs in the electrolytic aluminum production process.

[0081] 103. Based on the above-mentioned factors affecting the anode effect, quantify the electrolytic aluminum load control cost caused by the above-mentioned anode effect.

[0082] Saturable reactors can be used to adjust the current and voltage waveforms, thereby reducing the occurrence of the anode effect. Their core control lies in controlling the output current of the silicon rectifier. During the demand-side response process, due to the voltage control of the saturated reactor, the current and voltage of the electrolyzer fluctuate frequently, which can easily trigger the formation and accumulation of anode reactant gas bubbles, leading to the anode effect. As can be seen from the analysis in step 101, the anode effect is extremely harmful. Therefore, the control cost of the anode effect must be considered during the saturated reactor control process to constrain the saturated reactor adjustment and ensure production safety.

[0083] In an optional implementation, the above step 103 includes:

[0084] Based on the above-mentioned factors affecting the anode effect, the losses caused by the anode effect are decomposed into four parts: electricity loss cost, raw material loss cost, atmospheric pollution loss cost and anode effect extinction cost, and the cost of each part is calculated separately.

[0085] According to the analysis of step 101, the losses caused by the anode effect can be mainly divided into four aspects: power loss, raw material loss, air pollution loss, and anode effect extinction cost. The details are as follows:

[0086] ①Power loss cost: The power loss of a single anode effect is:

[0087] F1=ΔU d I d t an δ (3)

[0088] Among them, ΔU d is the voltage variation of the DC side of the electrolytic aluminum load, which is generally taken as 5~20V; t an is the anode effect time, generally taken as 5 minutes; δ is the electricity price; I d It is the direct current, which indicates the current flowing through the electrolytic cell.

[0089] ② Raw material loss cost: The power loss caused by voltage increase is generally converted into heat energy during the production process, causing a sudden increase in the temperature between the electrodes of the electrolytic cell. This heat then spreads around the anode, causing the cell temperature to rise and a large amount of aluminum fluoride to volatilize. At this time, the raw material loss caused by a single anode effect is:

[0090] F2=c1m (4)

[0091] Where m is the mass of aluminum fluoride lost by a single anode effect, which is generally taken as a constant value of about 10 to 20 kg per time; c1 is the unit price of aluminum fluoride. The current domestic unit price of aluminum fluoride is 12,200 yuan per ton.

[0092] ③ Atmospheric pollution loss cost: At the same time, the anode effect process is also accompanied by the production of gases such as CF4 and C2F6 that are destructive to the atmospheric ozone layer. Since atmospheric pollution is a long-term process, this paper takes the atmospheric pollution loss during a single anode effect process as a certain value F3.

[0093] ④ Anode effect extinguishing cost: There are three main methods to extinguish the anode effect in the electrolytic aluminum production process: extinguishing the anode effect with a leaky shovel; extinguishing the anode effect with a large cake; and extinguishing the anode effect with an effect rod (wooden stick). At present, most domestic electrolytic cells have been transformed into pre-baked cells for intermediate unloading of multiple anode groups. The leaky shovel and large cake extinguishing methods are no longer effective in multiple anode group production. The effect rod extinguishing method has become the only method to extinguish the anode effect. It takes about 2 to 3 effect rods to eliminate one effect on a daily basis. Therefore, the extinguishing cost of a single anode effect is:

[0094] F4=μc2 (5)

[0095] Where μ is the number of anode effect rods consumed by a single anode effect extinguishing; c2 is the unit price of the anode effect rod.

[0096] Therefore, the electrolytic cell anode effect loss (hereinafter also expressed as C an )for:

[0097] F an =(F1+F2+F3+F4) (6)

[0098] 104. Based on the above-mentioned electrolytic aluminum load production safety boundary and the above-mentioned electrolytic aluminum load control cost, combined with the dynamic relationship between the probability of occurrence of the anode effect and the voltage adjustment amount of the saturated reactor, the control cost calculation in the electrolytic aluminum load demand side response process is further refined to obtain a control cost model that comprehensively considers the dynamic anode effect.

[0099] When the electrolytic aluminum load is operating normally, the anode effect coefficient λ (the average number of times the anode effect occurs in the electrolytic cell per day) is usually used to characterize the probability of the electrolytic aluminum load having an anode effect, which is generally taken as a constant value. During the regulation process, on the one hand, the greater the voltage regulation amount, the greater the change in electrolysis current, the easier it is to cause the accumulation of anode gas bubbles, thereby triggering the generation of the anode effect; on the other hand, the greater the deviation of the saturated reactor voltage from the rated value, the worse the current stabilization ability of the saturated reactor, resulting in a change in the reaction environment of the anode electrolytic cell, which is easy to trigger the anode effect. At this time, it is obviously no longer meaningful to use the anode effect coefficient in the static state to represent the probability of the anode effect. Therefore, this application uses a quadratic function to describe the coupling relationship between the probability of the anode effect occurring in the dynamic process and the saturated reactor voltage regulation amount.

[0100] In an optional implementation, the above step 104 includes:

[0101] Establish the dynamic relationship expression between the probability of anode effect occurrence and the voltage regulation of saturated reactor;

[0102] Based on the above-mentioned dynamic relationship expression between the probability of occurrence of the anode effect and the voltage regulation amount of the saturated reactor, combined with the coupling relationship between the voltage regulation amount of the saturated reactor and the power regulation amount, the electrolytic aluminum load control cost is further constructed to obtain the above-mentioned control cost model.

[0103] Further optionally, the dynamic relationship between the anode effect occurrence probability and the saturated reactor voltage adjustment amount is expressed as follows:

[0104] ε=b1(ΔU SR ) 2 +b2(ΔU SR +U SR0 -U SRN ) 2 (7)

[0105] Among them, ε is the probability of anode effect, ΔU SR is the voltage regulation value of the saturated reactor, b1 and b2 are correlation coefficients, measured by statistical laws; U SR0 is the initial voltage of the saturated reactor, U SRN is the rated voltage of the saturated reactor.

[0106] Therefore, the control cost caused by the saturated reactor current stabilization system control during the electrolytic aluminum load demand side response process can be described as:

[0107] C SR =εC an (8)

[0108] And the saturated reactor voltage adjustment value ΔU SR With power regulation ΔPAL The coupling relationship between them is:

[0109]

[0110] Figure 2 A schematic diagram of the coupling relationship between the voltage regulation amount and the power regulation amount of a saturated reactor provided in an embodiment of the present application.

[0111] And ΔU d =-ΔU SR , ΔU SR < d , so the electrolytic aluminum load power change ΔP AL and the voltage change of the saturated reactor ΔU SR The coupling relationship between them can be approximated as:

[0112] ΔP AL ≈1.35ΔU SR (E AL -2U d ) / R AL (10)

[0113] Combining equations (8) to (9) and (10), the electrolytic aluminum load control cost F considering the dynamic anode effect is SR for:

[0114] F SR =p SR (ΔP AL ) 2 +q SR (ΔP AL )+h SR (11)

[0115] Where p SR ,q SR 、h SR Cost coefficient to consider the regulation effect of saturated reactor:

[0116]

[0117] The control cost model in this application embodiment, which comprehensively considers the dynamic anode effect, can help power grid operators more effectively manage grid loads and ensure the production safety of electrolytic aluminum loads. In an optional embodiment, after obtaining the control cost model, the control cost model can be used to perform corresponding calculations, and this information can be used to formulate more effective grid regulation strategies, thereby improving the overall operational efficiency of the grid.

[0118] ​The method in the embodiment of the present application mainly focuses on the control cost generated by the anode effect in the process of saturated reactor control to constrain the adjustment amount of the saturated reactor, establishes the electrolytic aluminum load production safety boundary considering the voltage regulation margin, and analyzes the hazards of the anode effect. It also quantifies the control cost generated by the anode effect from four aspects: electricity loss cost, raw material loss cost, atmospheric pollution cost, and anode effect extinction cost.

[0119] In the current scheme, there is a way to calculate the load control cost in segments according to the different directions of the park load participating in the upward / downward power regulation. However, for the electrolytic aluminum load, the saturated reactor can be used to adjust the waveform of the current and voltage, thereby reducing the occurrence of the anode effect. Its control core is the control of the output current of the silicon rectifier. During the demand-side response process, due to the voltage control of the saturated reactor, the current and voltage of the electrolytic cell fluctuate frequently, which can easily cause the generation and aggregation of anode reaction gas bubbles, thereby leading to the occurrence of the anode effect. The anode effect is extremely harmful. Therefore, the control cost generated by the anode effect must be considered during the control process of the saturated reactor to constrain the adjustment amount of the saturated reactor and ensure production safety. The effect of the method in this application is further explained as follows:

[0120] ① Ensuring production safety: This application focuses on the control costs of the anode effect during the saturated reactor control process. By quantifying the costs of the anode effect, including power loss, raw material loss, air pollution, and anode effect extinction, the saturated reactor adjustment amount is precisely constrained. This helps avoid the anode effect caused by improper saturated reactor voltage regulation when the electrolytic aluminum load participates in grid demand response, thereby reducing the risk of production safety accidents caused by frequent fluctuations in electrolytic cell current and voltage, ensuring the stability and safety of the electrolytic aluminum production process, protecting the company's production facilities and personnel, and reducing potential serious threats to the surrounding environment and public safety.

[0121] Optimizing Control Costs: This application establishes a safe production boundary for electrolytic aluminum loads that takes voltage regulation margin into account. Incorporating the probability of the dynamic anode effect, it refines the calculation method for the control costs of electrolytic aluminum loads caused by the anode effect. By accurately calculating control costs, it can provide electrolytic aluminum companies with more scientific and economical control strategies, enabling them to rationally arrange production load adjustments during grid interactive control, reducing unnecessary costs and improving the company's economic benefits. This also enhances the economic and feasibility of grid demand response.

[0122] ③ Improved Regulation Flexibility: By deeply analyzing the core production constraints of the electrolytic aluminum load production process, the electrolytic aluminum load regulation boundary model established in this application fully considers the balance between the production characteristics of the electrolytic aluminum load and the grid's regulation needs. While ensuring production safety, this model can more reasonably determine the adjustable range of the electrolytic aluminum load, enabling it to more flexibly respond to the grid's peak and frequency regulation needs, fully leveraging the regulation potential of high-energy-consuming industrial enterprises, enhancing the grid's flexibility and stability, and promoting a mutually beneficial relationship between high-energy-consuming industrial enterprises and the grid.

[0123] Based on the description of the aforementioned method embodiment, the embodiment of the present application also provides a device for calculating the electrolytic aluminum load regulation boundary and demand-side response control cost.

[0124] Figure 3 This is a schematic diagram of a device for calculating the load adjustment boundary and demand-side response control cost of electrolytic aluminum provided in an embodiment of the present application. Figure 3 As shown, the electrolytic aluminum load regulation boundary and demand side response control cost calculation device 300 includes:

[0125] Analysis module 310, for analyzing the influence of anode effect on the electrolytic aluminum production process and determining the factors affecting the anode effect;

[0126] Boundary establishment module 320, for establishing a safety boundary for electrolytic aluminum load production taking into account voltage regulation margin based on the above-mentioned anode effect influencing factors;

[0127] A cost control module 330 is configured to quantify the electrolytic aluminum load control cost caused by the anode effect based on the anode effect influencing factors;

[0128] The model calculation module 340 is used to further refine the control cost calculation in the electrolytic aluminum load demand side response process based on the above-mentioned electrolytic aluminum load production safety boundary and the above-mentioned electrolytic aluminum load control cost, combined with the dynamic relationship between the saturated inductor voltage adjustment amount and the probability of the anode effect, to obtain a control cost model that comprehensively considers the dynamic anode effect.

[0129] Understandably, Figure 3 The relevant contents of each module in the above method embodiment have been described in detail, and the details can be referred to the contents of the method embodiment; Figure 3 The provided electrolytic aluminum load regulation boundary and demand side response control cost calculation device 300 can be executed as follows: Figure 1 Any step in the illustrated embodiment; in one embodiment, the finally obtained control cost model may also be stored, and the model may be called to perform corresponding calculation processing, which will not be elaborated here.

[0130] In one embodiment of the present application, an electronic device is also provided. Figure 4 , Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 4 As shown, the electronic device 400 includes a processor 401 and a memory 402. The memory 402 stores a computer program. When the computer program is executed by the processor 401, the following operations are performed: Figure 1 The electronic device 400 may further include an input / output device, etc. In a specific embodiment, the electronic device may be a terminal device, etc.

[0131] In one embodiment, a computer-readable storage medium is further provided. The computer-readable storage medium stores a computer program. When the computer program is executed by a processor, the processor is caused to perform any step in the above method embodiment.

[0132] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0133] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0134] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be determined by the appended claims.

Claims

1. A method for calculating the load regulation boundary and demand-side response control cost of electrolytic aluminum, characterized in that: The method comprises: Analyze the impact of anode effect on the electrolytic aluminum production process and determine the factors affecting anode effect; Based on the anode effect influencing factors, a safety boundary of electrolytic aluminum load production considering voltage regulation margin is established; Based on the anode effect influencing factors, quantify the electrolytic aluminum load control cost caused by the anode effect; Based on the electrolytic aluminum load production safety boundary and the electrolytic aluminum load control cost, combined with the dynamic relationship between the saturated reactor voltage regulation amount and the probability of the anode effect, the control cost calculation in the electrolytic aluminum load demand side response process is further refined to obtain a control cost model that comprehensively considers the dynamic anode effect.

2. The method for calculating the electrolytic aluminum load regulation boundary and demand-side response control cost according to claim 1 is characterized in that: The factors affecting the anode effect include the advantages and disadvantages of the anode effect: The advantages of the anode effect include being used to determine the sensitivity of the electrolytic cell, reducing electrolyte resistance and energy consumption, and increasing the temperature in the electrolytic cell; The hazards of the anode effect include increased cell voltage, decreased current efficiency, increased raw material loss, increased risk of production safety accidents, reduced raw aluminum quality, and environmental pollution.

3. The method for calculating the electrolytic aluminum load regulation boundary and demand-side response control cost according to claim 1 is characterized in that: The establishment of a safety boundary for electrolytic aluminum load production taking into account voltage regulation margin based on the anode effect influencing factors includes: Determine the voltage regulation margin change based on the remaining regulation capacity of the electrolytic aluminum load and the current stabilization capability of the saturated reactor; Based on the change in the voltage regulation margin, the adjustable range of the DC side voltage of the electrolytic aluminum load is determined, and then the adjustable range of the electrolytic aluminum load is determined.

4. The method for calculating the electrolytic aluminum load regulation boundary and demand-side response control cost according to claim 1 is characterized in that: The quantification of the electrolytic aluminum load control cost caused by the anode effect based on the anode effect influencing factors includes: Based on the anode effect influencing factors, the loss caused by the anode effect is decomposed into four parts: power loss cost, raw material loss cost, air pollution loss cost and anode effect extinction cost, and the cost of each part is calculated separately.

5. The method for calculating the electrolytic aluminum load regulation boundary and demand-side response control cost according to claim 4 is characterized in that: Based on the electrolytic aluminum load production safety boundary and the electrolytic aluminum load control cost, combined with the dynamic relationship between the anode effect occurrence probability and the saturated reactor voltage adjustment amount, the control cost calculation in the electrolytic aluminum load demand side response process is further refined to obtain a control cost model that comprehensively considers the dynamic anode effect, including: Establish the dynamic relationship expression between the probability of anode effect occurrence and the voltage regulation of saturated reactor; Based on the dynamic relationship expression between the probability of occurrence of the anode effect and the saturated reactor voltage adjustment amount, combined with the coupling relationship between the saturated reactor voltage adjustment amount and the power adjustment amount, the electrolytic aluminum load control cost is further constructed to obtain the control cost model.

6. The method for calculating the electrolytic aluminum load regulation boundary and demand-side response control cost according to claim 5 is characterized in that: The dynamic relationship between the anode effect occurrence probability and the saturated reactor voltage adjustment amount is expressed as follows: ε=b1(ΔU SR ) 2 +b2(ΔU SR +U SR0 -U SRN ) 2 , Among them, ε is the probability of anode effect, ΔU SR is the voltage regulation value of the saturated reactor, b1 and b2 are correlation coefficients, measured by statistical laws; U SR0 is the initial voltage of the saturated reactor, U SRN is the rated voltage of the saturated reactor.

7. The method for calculating the electrolytic aluminum load regulation boundary and demand-side response control cost according to claim 6, characterized in that: The electrolytic aluminum load control cost expression is: F SR =p SR (ΔP AL ) 2 +q SR (ΔP AL )+h SR , Where ΔP AL Indicates the power adjustment amount, p SR ,q SR 、h SR is the cost coefficient considering the regulation effect of saturated reactor.

8. A device for calculating the load regulation boundary and demand-side response control cost of electrolytic aluminum, characterized in that: include: Analysis module, used to analyze the impact of anode effect on the electrolytic aluminum production process and determine the factors affecting the anode effect; A boundary establishment module, configured to establish a safety boundary for electrolytic aluminum load production taking into account a voltage regulation margin based on the anode effect influencing factors; A cost control module, configured to quantify the electrolytic aluminum load control cost caused by the anode effect based on the anode effect influencing factors; A model calculation module is used to further refine the control cost calculation in the electrolytic aluminum load demand side response process based on the electrolytic aluminum load production safety boundary and the electrolytic aluminum load control cost, combined with the dynamic relationship between the saturated inductor voltage adjustment amount and the probability of the anode effect, to obtain a control cost model that comprehensively considers the dynamic anode effect.

9. An electronic device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the processor is caused to perform the steps of the method according to any one of claims 1 to 7.

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