Submerged arc furnace energy conservation and emission reduction method and system based on source network load storage integration

Abstract

The embodiment of the invention provides a submerged arc furnace energy conservation and emission reduction method and system based on source network load storage integration, and belongs to the technical field of submerged arc furnace energy conservation and emission reduction. The method comprises the following steps: constructing a target function by taking full life cycle economy and carbon emission reduction benefit maximization as a target; based on the objective function, constructing a submerged arc furnace smelting power supply system source network load storage integrated model; and based on the objective function, solving an optimal solution of the submerged arc furnace smelting power supply system source network load storage integrated model through a parameter scanning algorithm to obtain an energy conservation and emission reduction scheme. According to the method, a submerged arc furnace smelting power supply system source network load storage integrated model is constructed, a load dynamic response mechanism is established based on a smelting physicochemical principle, wind power, photovoltaic, energy storage and residual gas power generation system capacity configuration and scheduling strategies are cooperatively optimized, and through source network load storage integrated optimization, on the premise that reliable operation of smelting production is ensured, the power supply efficiency is improved. And the economic benefit and the greening level are obviously improved.

Description

Technical Field

[0001] This invention relates to the field of energy conservation and emission reduction technology for submerged arc furnaces, specifically to a method and system for energy conservation and emission reduction of submerged arc furnaces based on the integration of source, grid, load and storage. Background Technology

[0002] In the ferroalloy smelting industry, submerged arc furnaces, as core production equipment, account for 30%-60% of the overall production cost. This high energy consumption makes energy efficiency optimization a key issue for the industry's sustainable development. Traditional power supply models rely heavily on grid power purchases, facing not only rising electricity costs but also severe carbon emission challenges. While the industry recognizes the importance of clean energy integration with the rapid development of new energy technologies, many technical bottlenecks remain to be addressed in practical applications. Regarding load regulation, existing technologies for submerged arc furnace operation control are largely based on experience. This experience-driven control often leads to a disconnect between load regulation and actual response processes. Specifically, on the one hand, to ensure product quality, operators often adopt conservative operating strategies, limiting the load regulation range and failing to fully utilize its regulation potential; on the other hand, when rapid response to grid regulation demands is required, experience-based regulation may disrupt the thermal balance of the smelting process, affecting product qualification rates and potentially increasing energy consumption per unit of product. This technical deficiency makes it difficult for submerged arc furnaces, a crucial industrial load, to effectively participate in power system peak shaving, limiting the space for new energy consumption and impacting enterprises' opportunities to profit through demand-side response. Furthermore, existing emission reduction methods often focus on optimizing a single objective, making it difficult to balance economic and environmental benefits while ensuring power supply reliability. Most existing studies either simply pursue the lowest cost or unilaterally emphasize the penetration rate of new energy sources. This single-objective-oriented planning approach is difficult to adapt to the diversified development needs under the new circumstances and cannot provide enterprises with truly feasible transformation and upgrading solutions. Summary of the Invention

[0003] The purpose of this invention is to provide a planning and design method for energy-saving and emission-reduction systems of ferroelectric furnaces based on the integrated design of power generation, grid, load and storage. This method is used to coordinate the planning of wind power, photovoltaic power, energy storage and waste gas power generation in the power supply system of ferroelectric furnaces, increase the proportion of green electricity in the power supply and reduce energy costs, while supporting grid peak shaving and carbon emission reduction.

[0004] To achieve the above objectives, this invention provides an energy-saving and emission-reduction method for ferroelectric furnaces based on integrated power generation, grid, load, and storage, comprising: constructing an objective function with the goals of optimizing the economic efficiency throughout the entire life cycle and maximizing carbon emission reduction benefits; constructing an integrated power generation, grid, load, and storage model for the ferroelectric furnace smelting power supply system based on the objective function; constructing the integrated power generation, grid, load, and storage model for the ferroelectric furnace smelting power supply system includes constructing a ferroelectric furnace smelting energy consumption model, a waste gas power generation flexible peak-shaving model, a transformer substation model, a new energy output model, and an energy storage model; and solving for the optimal solution of the integrated power generation, grid, load, and storage model for the ferroelectric furnace smelting power supply system based on the objective function using a parameter scanning algorithm to obtain an energy-saving and emission-reduction scheme.

[0005] Optionally, the objective function is constructed by: calculating the energy supply cost throughout the entire life cycle of smelting based on the configured capacity of photovoltaic equipment, wind power equipment, energy storage equipment, power supply transformer capacity, gas holder capacity, and waste gas generator set capacity, as well as the unit cost of the photovoltaic equipment, wind power equipment, energy storage equipment, power supply transformer, gas holder, and waste gas generator set; and constructing the objective function based on the energy supply cost, the sales revenue of smelting products throughout the entire life cycle, and the incentive economic income obtained from the adoption of green electricity.

[0006] Optionally, constructing the energy consumption model for the submerged arc furnace smelting includes: defining the main smelting reaction equation and determining the heat required for the reaction based on thermodynamic principles; establishing a heat balance equation to correlate the load power and the temperature inside the submerged arc furnace; quantifying the main smelting reaction rate using the Arrhenius formula and establishing a dynamic response mechanism for the reaction progress as temperature and power change; and establishing an energy consumption model for load power and reaction progress based on the basic physicochemical principles of smelting.

[0007] Optionally, constructing the flexible peak-shaving model for waste gas power generation includes: acquiring data on the relationship between alloy smelting rate and waste gas production rate and establishing corresponding functional relationships; based on the gas holder storage principle, establishing time-series equations for gas holder capacity, gas storage volume, and gas inlet and outlet rates, and setting constraints on maximum gas inlet and maximum gas outlet rates; establishing a corresponding relationship between waste gas power generation and outlet rate, so as to achieve time-series adjustment of waste gas power generation by adjusting the gas holder outlet volume.

[0008] Optionally, constructing the energy storage model includes: establishing a recursive relationship between the remaining energy storage capacity and time based on the electrochemical energy storage charging and discharging principle, and setting constraints on energy storage capacity, charging and discharging power, and charging and discharging efficiency.

[0009] Optionally, constructing the transformer model of the distribution area includes: establishing a constraint relationship between the power supplied to the grid and the transformer capacity based on the rated capacity of the transformer.

[0010] Optionally, constructing the new energy output model includes: establishing the constraint relationship between the actual output of new energy, the ideal output, and the configured capacity, and considering the time-series boundary constraints of the volatility of new energy output and capacity utilization.

[0011] Optionally, the construction of the integrated source-grid-load-storage model of the power supply system for smelting of electric arc furnaces further includes: setting operational constraints for the operation of the electric arc furnace; the operational constraints include the minimum allowable load power constraint and the maximum allowable load power constraint of the electric arc furnace, the upper limit constraint of the duration of the load within the allowable fluctuation range, the lower limit constraint of the minimum power required to maintain the main reaction, the safe operating rate constraint of the gas holder and the waste gas generator set, and the lower limit constraint of the gas storage capacity of the gas holder.

[0012] Optionally, the step of solving the optimal solution of the integrated source-grid-load-storage model of the ferroelectric furnace smelting power supply system using the parameter scanning algorithm includes: scanning the capacity of photovoltaic equipment, wind power equipment, energy storage equipment, power supply transformer, gas holder, and waste gas generator set equipment one by one or layer by layer within a preset search space to obtain several candidate configurations that include the above-mentioned equipment capacities; performing a full-year production operation simulation for each candidate configuration, calculating its corresponding full life cycle energy supply cost, product sales revenue, and incentive economic income obtained from the adoption of green electricity, and verifying whether it meets all constraints; based on the objective function, selecting the configuration with the optimal objective function value from the candidate configurations that meet all constraints, and outputting the optimal configuration as an energy-saving and emission-reduction scheme.

[0013] On the other hand, the present invention provides an energy-saving and emission-reduction system for an integrated electric arc furnace based on source-grid-load-storage, used to realize an energy-saving and emission-reduction method for an integrated electric arc furnace based on source-grid-load-storage. The system includes a control module, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor. The processor executes the computer program to realize an energy-saving and emission-reduction method for an integrated electric arc furnace based on source-grid-load-storage.

[0014] The above technical solution, by constructing an integrated model of power supply system for blast furnace smelting, grid, load and storage, establishes a dynamic load response mechanism based on the physicochemical principles of smelting, and optimizes the capacity configuration and scheduling strategies of wind power, photovoltaic, energy storage and waste gas power generation systems in an integrated and coordinated manner, significantly improves economic efficiency and green level while ensuring reliable operation of smelting production.

[0015] Other features and advantages of the present invention will be described in detail in the following detailed description section. Attached Figure Description

[0016] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used together with the following detailed description to explain the invention, but do not constitute a limitation thereof. In the drawings: Figure 1 This is a flowchart of an energy-saving and emission-reduction method for ferroelectric furnaces based on the integration of source, grid, load, and storage.

[0017] Figure 2 This is a diagram showing the production operation under normal power supply mode.

[0018] Figure 3 This is a diagram showing the load operation under normal power supply conditions.

[0019] Figure 4 This is a diagram showing the operation of the power grid, load, and storage system using energy-saving and emission-reduction methods for electric arc furnaces.

[0020] Figure 5 This is a diagram showing the load operation of a submerged arc furnace using energy-saving and emission-reduction methods. Detailed Implementation

[0021] The following is in conjunction with the appendix Figure 1 - Appendix Figure 5 The specific implementation methods of the embodiments of the present invention will be described in detail below. It should be understood that the specific implementation methods described herein are only for illustrating and explaining the embodiments of the present invention, and are not intended to limit the embodiments of the present invention.

[0022] It should be noted that the acquisition, transmission, storage, use, and processing of data in the technical solution of this application all comply with the relevant provisions of national laws and regulations. In the embodiments of this application, certain existing industry solutions such as software, components, and models may be mentioned. These should be considered exemplary, intended only to illustrate the feasibility of implementing the technical solution of this application, and do not imply that the applicant has already used or necessarily used such solutions.

[0023] In the process of realizing this invention, the inventors of this application discovered that the existing technology has the following defects: load regulation relies on experience setting and does not combine the smelting reaction mechanism, resulting in blind regulation and affecting production quality; insufficient coordination of the power system, single optimization goal, lack of multi-objective optimization of economy and environmental protection, resulting in low new energy consumption rate and high energy cost.

[0024] Example 1 Reference Figure 1 This is the first embodiment of the present invention, which provides an energy-saving and emission-reduction method for an integrated source-grid-load-storage submerged arc furnace, comprising: S100: Construct an objective function with the goal of maximizing economic efficiency throughout the entire life cycle and carbon emission reduction benefits.

[0025] In this embodiment of the application, the objective function is constructed by calculating the energy supply cost throughout the entire life cycle of the smelting process based on the configured capacity of photovoltaic equipment, wind power equipment, energy storage equipment, power supply transformer, gas holder, and waste gas generator set, as well as the unit cost of the photovoltaic equipment, wind power equipment, energy storage equipment, power supply transformer, gas holder, and waste gas generator set. The objective function is then constructed based on the energy supply cost, the sales revenue of the smelting products throughout the entire life cycle, and the incentive economic income obtained from the adoption of green electricity.

[0026] In a preferred embodiment of this application, the power supply mode is selected as wind power, photovoltaic power, and energy storage connected to the smelting system via dedicated lines, with grid power purchase as a supplementary backup to provide peak-shaving support. By leveraging the regulating potential of load, energy storage, gas holders, and other regulating resources, energy costs are reduced, the greenness of smelting is improved, and the demand on grid capacity is reduced. Therefore, the objective function of the smelting power supply system is set as follows: Where m represents the objective function. This indicates the sales revenue generated from smelting products throughout their entire lifecycle. This represents the total cost of energy supply for smelting over its entire lifecycle. This refers to the carbon emission rights obtained by the smelting system through the use of green electricity supply, and the incentive economic income generated through carbon trading.

[0027] in, , , , , , These represent the capacity of the configured photovoltaic equipment, wind power equipment, energy storage equipment, power supply transformer, gas holder, and waste gas generator set (internal combustion engine set), respectively. , , , , , These represent the unit cost of photovoltaic equipment, wind power equipment, energy storage equipment, power supply transformers, gas holders, and waste gas generator sets (internal combustion engine sets), respectively. and These represent the electricity and electricity price that the smelting system needs to purchase from the grid in addition to electricity generated from new energy sources and waste gas throughout its entire life cycle. This indicates the cost required for the flexibility modification of the smelting system.

[0028] S200: Based on the objective function, an integrated power supply model for the electric arc furnace smelting power supply system is constructed, which integrates the power source, grid, load, and storage.

[0029] In this embodiment of the application, the construction of the integrated source-grid-load-storage model of the power supply system for blast furnace smelting includes the construction of a blast furnace smelting energy consumption model, a waste gas power generation flexible peak-shaving model, a transformer substation model, a new energy output model, and an energy storage model.

[0030] In this embodiment of the application, the construction of the integrated source-grid-load-storage model of the power supply system for smelting of electric arc furnaces also includes: setting operational constraints for the operation of the electric arc furnace; the operational constraints include the minimum allowable load power constraint and the maximum allowable load power constraint of the electric arc furnace, the upper limit constraint of the duration of the load within the allowable fluctuation range, the lower limit constraint of the minimum power required to maintain the main reaction, the safe operating rate constraint of the gas holder and the waste gas generator set, and the lower limit constraint of the gas storage capacity of the gas holder.

[0031] It should be noted that the main electrical equipment used in ferroalloy smelting can be divided into submerged arc furnace load and auxiliary power equipment load. The submerged arc furnace load accounts for over 90% of the total load. The submerged arc furnace load primarily involves the heating of the energized electrode rods, providing heat for the smelting reaction, while the auxiliary power equipment load mainly provides power for the normal operation of the system. Taking ferrosilicon manganese alloy as an example, the principle of the submerged arc furnace itself is relatively simple: electrodes (most furnaces are three-phase AC) are inserted into the charge and heat is generated by resistance (resistance furnace) or by an electric arc generated near the charge (electric arc furnace). By controlling the voltage through transformer settings and adjusting the resistance by moving the electrodes up and down, the smelting power can be adjusted. Theoretically, the adjustment range is very wide, but the actual situation is much more complex because adjusting the smelting power can affect production. Surveys have found that most ferroalloy company employees operate by setting a constant power and observing when the accumulated power of a furnace reaches a certain empirical value before unloading. This empirical value is derived through experimentation; too low a value results in substandard quality, while too high a value wastes energy and may even burn out the furnace. If the smelting power is adjusted during a furnace run, the operator will find it difficult to determine the appropriate time to unload. Because it is necessary to model the load of the submerged arc furnace based on the smelting physicochemical properties, grasp the core indicators affecting the reaction progress, and rely on sensors to monitor the furnace status in real time to determine the timing of tapping, so as to make real-time and flexible adjustments.

[0032] In a preferred embodiment of this application, constructing an energy consumption model for smelting in an electric arc furnace includes: defining the main smelting reaction equation and determining the heat required for the reaction based on thermodynamic principles; establishing a heat balance equation that correlates the load power and the temperature inside the electric arc furnace; quantifying the main smelting reaction rate using the Arrhenius formula and establishing a dynamic response mechanism for the reaction progress as temperature and power change; and establishing an energy consumption model for load power and reaction progress based on the basic physicochemical principles of smelting.

[0033] In a preferred embodiment of this application, the ferroalloy smelting involves multiple steps, with different main reactions corresponding to different reaction temperatures. The main reaction for smelting a certain ferroalloy Y₂O₃ is as follows, and the reaction formula for producing metallic Y and carbon monoxide (as a residual gas for recovery) is as follows: The energy consumption model for smelting in an electric arc furnace is as follows: in, The heat generated by the electric arc is approximately the active load of the electric arc furnace.

[0034] Where P represents smelting power.

[0035] For the heat dissipation of the electric arc furnace, The calculation formula is as follows: in, The convective heat transfer coefficient (W / ( ·K), which is related to surface roughness and airflow velocity; A is the heat dissipation surface area ( ); The surface emissivity of the furnace body is (0.8–0.95). For Stefan-Boltzmann constant (5.67 × W / ( · T is the furnace temperature (K); The ambient temperature (K) is the ambient temperature.

[0036] When the furnace temperature T > 500℃, radiative heat dissipation accounts for over 70%. The calculation formula can be simplified to: Where k is the equivalent heat dissipation coefficient, which is set by considering material properties and structural parameters; n is the nonlinear exponent (usually taken as 1.2 to 1.5).

[0037] To heat up the ore and absorb heat, The calculation formula is as follows: in, For material hot melting, To raise the temperature of the material.

[0038] Since the reaction is endothermic, the calculation formula is as follows: Where x is the proportion of the amount that reacts. The heat of reaction required for a specified reaction.

[0039] Where k is the reaction rate, derived from the Arrhenius equation, and the formula for calculating k is as follows: Where k is the reaction rate constant, and A represents the pre-factor (or frequency factor), which is related to the collision frequency and orientation of the reactants; is the activation energy (unit: J / mol), representing the minimum energy required for the reaction to occur; R is the ideal gas constant.

[0040] It should be noted that when the reaction temperature is below the main reaction temperature, the main reaction hardly occurs, and the minimum power required to maintain this temperature is approximately the rated power P0. According to the Arrhenius equation, when the smelting power is higher than this minimum power, the material reaction rate increases significantly. The reaction exhibits a negative feedback regulation effect; the higher the smelting power, the greater the reaction rate, resulting in a large amount of heat absorption and causing a temperature "plateau" phenomenon. The material temperature will only continue to rise rapidly after the main reaction has ended.

[0041] Since ferroalloy smelting relies primarily on electrode heat generation and is highly temperature-sensitive, and the temperature within an electric arc furnace exhibits strong inertia, the ferroalloy smelting load possesses a degree of flexibility. Experience with electric arc furnace operation indicates that when the furnace load is at... ~ Within the specified range, the quality requirements for smelting products can be met if the duration does not exceed 4 hours.

[0042] Based on the aforementioned fundamental physicochemical principles of smelting, and according to the maximum and minimum load limits, an energy consumption model for the relationship between ferroalloy smelting load and reaction process is established, expressed as follows: Where x represents the progress of the smelting reaction. The expression represents the reaction progress as a function of smelting power, where P represents smelting power. The rated power of the electric arc furnace can be adjusted by regulating the electrode depth and transformer speed. This indicates the lower limit of smelting power. This indicates the upper limit of smelting power as a percentage.

[0043] It should be noted that the gas holder can be seen as the interface between the gas pretreatment system for power generation and the standard emission system of the submerged arc furnace. Because the ferroalloy production process involves intermittent furnace output and occasional maintenance, power outages, power rationing, and electrode malfunctions can occur, causing unstable furnace pressure and frequent fluctuations in the emitted flue gas. To ensure the stable and normal operation of subsequent power generation facilities, a gas holder is necessary. In traditional gas (residual gas) utilization processes, the gas holder is primarily designed to stabilize the pressure of all discharged gas and store a suitable amount. The gas holder has a small capacity, stores a limited amount of residual gas, and can only support power generation for a short period.

[0044] With the large-scale entry of renewable energy into the power system, the peak-shaving resources supporting renewable energy consumption are becoming increasingly strained, creating a need for gas holders to participate in peak shaving. Under safe conditions, by coordinating with waste gas power generation equipment and appropriately increasing the volume of the gas holder, the waste gas power generation can better fulfill its peak-shaving role. Specifically, during periods of high renewable energy output, the gas holder's output can be reduced, lowering the waste gas power generation capacity and leaving more space for the smelting system to absorb renewable energy; during periods of low renewable energy output, the gas holder's output can be increased, improving waste gas power generation capacity and reducing the consumption of non-green electricity in smelting, thereby promoting greener and more economical energy use in the smelting system. Simultaneously, the newly emerging double-membrane gas holder structure significantly reduces costs and effectively shortens the construction period compared to traditional metal gas holders, facilitating gas holder capacity expansion. Gas holders are necessary in the process of generating and utilizing renewable gas. The gas holder primarily serves to stabilize gas pressure; essentially, it is a gas storage device. The capacity and exhaust rate of the gas holder can be changed to regulate the waste gas power generation capacity. Under the new circumstances of renewable energy consumption, it is necessary to explore how to leverage its peak-shaving function, similar to energy storage.

[0045] In a preferred embodiment of this application, constructing a flexible peak-shaving model for waste gas power generation includes: acquiring data on the relationship between alloy smelting rate and waste gas production rate and establishing a corresponding functional relationship; based on the gas holder storage principle, establishing time-series equations for gas holder capacity, gas storage volume, gas inlet rate, and gas outlet rate, and setting constraints on maximum gas inlet rate and maximum gas outlet rate; and establishing a corresponding relationship between waste gas power generation and gas outlet rate to achieve time-series adjustment of waste gas power generation by adjusting the gas outlet volume of the gas holder.

[0046] In a preferred embodiment of this application, based on the gas holder storage principle, a time-series equation is established for the gas holder capacity, gas storage volume, and gas inlet and outlet rates, and the constraint equations for the maximum gas inlet rate and the maximum gas outlet rate are set as follows: in, This represents the maximum gas storage capacity of the gas holder under standard gas pressure. Let i be the volume of gas in the gas holder at standard atmospheric pressure. and These are the inlet and outlet rates of the gas holder, respectively. and These are the gas holder inlet rate and gas outlet rate, respectively. These represent the maximum inlet and maximum outlet rates of the gas holder.

[0047] The relationship between power generation and gas output rate is as follows: in, Let i be the residual gas power generation capacity. This refers to the electricity consumption per kilowatt-hour for generating electricity from waste gas.

[0048] In a preferred embodiment of this application, constructing the transformer substation model includes: establishing a constraint relationship between the transformer's grid-connected power and its capacity based on the transformer's rated capacity. The transformer substation model is as follows: in, This refers to the power output of the transformer. This refers to the rated capacity of the transformer.

[0049] In a preferred embodiment of this application, constructing the renewable energy output model includes: establishing the constraint relationship between the actual renewable energy output, the ideal renewable energy output, and the configured capacity, and considering the time-series boundary constraints of renewable energy output volatility and capacity utilization. The renewable energy output model is as follows: in, For the power output of new energy sources, For planned new energy capacity.

[0050] In a preferred embodiment of this application, constructing the energy storage model includes: establishing a recursive relationship between the remaining energy storage capacity and time based on the electrochemical energy storage charge-discharge principle, and setting constraints on energy storage capacity, charge-discharge power, and charge-discharge efficiency. The energy storage model is as follows: in, Let i be the capacity of the energy storage at time i. The capacity planned for energy storage; and These are the energy storage charging and discharging power, respectively; This refers to the maximum charging or discharging power.

[0051] S300: Based on the objective function, the optimal solution of the integrated source-grid-load-storage model of the power supply system for blast furnace smelting is obtained through the parameter scanning algorithm, thus yielding an energy-saving and emission-reduction scheme.

[0052] In this embodiment, the capacity of photovoltaic equipment, wind power equipment, energy storage equipment, power supply transformer, gas holder, and waste gas generator set are scanned one by one or layer by layer within a preset search space to obtain several candidate configurations that include the above-mentioned equipment capacities. For each candidate configuration, a full-year production and operation simulation is performed to calculate its corresponding full life cycle energy supply cost, product sales revenue, and incentive economic income obtained from the adoption of green electricity, and to verify whether it meets all constraints. Based on the objective function, the optimal configuration with the optimal objective function value is selected from the candidate configurations that meet all constraints, and this optimal configuration is output as an energy-saving and emission-reduction scheme.

[0053] Example 2 Reference Figures 2-5 This is the second embodiment of the present invention, which provides an energy-saving and emission-reduction method for an integrated electric arc furnace based on source-grid-load-storage. To verify the beneficial effects of the present invention, scientific demonstration is carried out through experiments.

[0054] In this embodiment, one 48000kVA submerged arc furnace for producing high-carbon ferrochrome and one 48000kVA submerged arc furnace for producing ferrosilicon manganese alloy are selected as load-side equipment. According to conventional design, a 20000 kVA gas holder is selected. The waste gas power generation equipment consists of 15 1000kW internal combustion engines. During smelting, the system prioritizes using waste gas for power generation, with any shortfall being purchased from the grid. The average grid purchase price is approximately RMB 0.40 / kWh.

[0055] In this embodiment, the current conventional power supply mode for smelting is selected, and a production simulation analysis of 8760 hours per year is conducted. A typical production curve is shown below. Figure 2 and Figure 3 As shown, under conventional power supply mode, all the electricity required for ferroalloy smelting comes from grid power purchases and waste gas power generation. The entire production process has a constant rhythm, and the required grid power is 85,000 kW.

[0056] In this embodiment of the application, the power supply mode based on this scheme is selected. It is assumed that the power grid system has sufficient peak-shaving resources and its peak-shaving limitations are not considered for the time being. The relevant system cost parameters are shown in Table 1.

[0057] Table 1 System-related cost parameters Considering a system operating period of 20 years, the integrated source-grid-load-storage model of the power supply system for blast furnace smelting proposed in this scheme is used to solve the problem, and the optimal power supply system configuration results are shown in Table 2.

[0058] Table 2 Optimal Power Supply System Configuration Results The corresponding production simulation results are shown below. Figure 4 and Figure 5 .according to Figure 4 and Figure 5 It can be seen that when wind and solar power output is high, the two ferroelectric furnaces increase their load power, accelerating the production process. If there is spare capacity in the energy storage, it will be charged. The gas holder reduces its gas output power, decreasing the power generation capacity of the surplus gas. The power grid reduces its downstream power supply. This maximizes the absorption of new energy sources. Conversely, when wind and solar power output is relatively low, the two ferroelectric furnaces reduce their production power, slowing down production, staggering peak hours, discharging energy storage, and increasing the gas holder's gas output power, increasing the power generation capacity of the surplus gas. The power grid increases its downstream power supply to support the ferroelectric furnace production. Through the coordinated interaction of load, energy storage, gas holder, surplus gas power generation equipment, and the large power grid, the absorption of new energy sources is increased, while the capacity demand on the power grid is reduced.

[0059] Furthermore, the production conditions under different power supply production modes are compared, including the following four scenarios: (1) The load does not participate in regulation and uses conventional waste gas system for power generation.

[0060] (2) The load participates in regulation and uses conventional waste gas to generate electricity, but no new energy source is connected.

[0061] (3) The load participates in regulation and is connected to a new energy power generation system of reasonable scale, and uses conventional waste gas to generate electricity.

[0062] (4) Adopt integrated planning, that is, load participates in regulation, connects to a new energy power generation system of reasonable scale, and uses an optimized waste gas power generation system.

[0063] The results of the production simulation are shown in Tables 3 and 4.

[0064] Table 3. Results of Production Simulation Operation of Multi-Scenario Solution Table 4. Economic Analysis of Multi-Scenario Solutions As shown in Tables 3 and 4 of this application embodiment, the energy-saving and emission-reduction method of the blast furnace based on the integration of source, grid, load and storage, which introduces new energy sources and considers the participation of load and waste gas power generation system in regulation, can increase the green electricity ratio of the power supply system to 60%, significantly improve the greenness of energy use, and reduce the energy cost of the smelting system, thereby increasing profits by 30%, with obvious improvement effects.

[0065] The present invention also provides an energy-saving and emission-reduction system for an integrated electric arc furnace based on source, grid, load and storage, for realizing an energy-saving and emission-reduction method for an integrated electric arc furnace based on source, grid, load and storage. The system includes a control module, which includes a memory, a processor and a computer program stored in the memory and executable on the processor. The processor executes the computer program to realize an energy-saving and emission-reduction method for an integrated electric arc furnace based on source, grid, load and storage.

[0066] This invention provides a storage medium storing a program that, when executed by a processor, implements an energy-saving and emission-reduction method for an integrated source-grid-load-storage submerged arc furnace.

[0067] This invention provides a processor for running a program, wherein the program executes an energy-saving and emission-reduction method for an integrated source-grid-load-storage submerged arc furnace.

[0068] This invention provides a device including a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, it implements an energy-saving and emission-reduction method for an integrated energy-grid-load-storage submerged arc furnace. The device described herein can be a server, PC, tablet, mobile phone, etc.

[0069] This application also provides a computer program product that, when executed on a data processing device, is suitable for implementing an energy-saving and emission-reduction method for an integrated source-grid-load-storage submerged arc furnace.

[0070] Those skilled in the art will understand that embodiments of this application can provide methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0071] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0072] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0073] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0074] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0075] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0076] Computer-readable media include both permanent and non-permanent, removable and non-removable media that can store information by any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0077] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0078] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A method for energy conservation and emission reduction in a submerged arc furnace based on integrated source-grid-load-storage system, characterized in that, include: With the goal of maximizing the economic benefits and carbon emission reduction benefits throughout the entire life cycle, an objective function is constructed. Based on the objective function, an integrated power supply model for the electric arc furnace smelting power supply system is constructed. The construction of the integrated source-grid-load-storage model of the power supply system for the electric arc furnace smelting includes the construction of an energy consumption model for electric arc furnace smelting, a flexible peak-shaving model for waste gas power generation, a transformer substation model, a new energy output model, and an energy storage model. Based on the objective function, the optimal solution of the integrated source-grid-load-storage model of the power supply system for blast furnace smelting is obtained by using a parameter scanning algorithm, thus yielding an energy-saving and emission-reduction scheme.

2. The energy-saving and emission-reduction method for a submerged arc furnace based on integrated source-grid-load-storage system according to claim 1, characterized in that, The objective function for construction includes: Based on the configured capacity of photovoltaic equipment, wind power equipment, energy storage equipment, power supply transformer capacity, gas holder capacity, and waste gas generator set capacity, as well as the unit cost of photovoltaic equipment, wind power equipment, energy storage equipment, power supply transformer, gas holder, and waste gas generator set, calculate the energy supply cost throughout the entire life cycle of smelting. An objective function is constructed based on the energy supply cost, the sales revenue of smelting products over the entire life cycle, and the incentive economic income obtained from adopting green electricity.

3. The energy-saving and emission-reduction method for a submerged arc furnace based on integrated source-grid-load-storage system according to claim 1, characterized in that, The energy consumption model for the smelting of the electric arc furnace includes: Based on thermodynamic principles, the main reaction equation for smelting is defined and the heat required for the reaction is determined. Establish a heat balance equation that correlates load power and furnace temperature in the submerged arc furnace; The main reaction rate of smelting was quantified using the Arrhenius formula, and a dynamic response mechanism for the reaction progress as a function of temperature and power was established. Based on the basic physical and chemical principles of smelting, a load power and reaction progress energy consumption model is established.

4. The energy-saving and emission-reduction method for a submerged arc furnace based on integrated source-grid-load-storage system according to claim 1, characterized in that, The construction of the flexible peak-shaving model for waste gas power generation includes: Obtain the relationship data between alloy smelting rate and residual gas production rate and establish the corresponding functional relationship; Based on the gas storage principle of the gas holder, a time series equation is established for the gas holder capacity, gas storage volume, gas inlet rate, and gas outlet rate, and constraints are set for the maximum gas inlet rate and the maximum gas outlet rate. Establish a corresponding relationship between the power generation capacity of the residual gas and the gas output rate, so as to realize the time-series regulation of the power generation capacity of the residual gas by adjusting the gas output of the gas holder.

5. The energy-saving and emission-reduction method for an integrated source-grid-load-storage submerged arc furnace according to claim 1, characterized in that, The construction of the energy storage model includes: establishing a recursive relationship between the remaining energy storage capacity and time based on the electrochemical energy storage charging and discharging principle, and setting constraints on energy storage capacity, charging and discharging power and charging and discharging efficiency.

6. The energy-saving and emission-reduction method for an integrated source-grid-load-storage submerged arc furnace according to claim 1, characterized in that, The construction of the transformer model for the distribution area includes: establishing a constraint relationship between the transformer's grid-connected power and its capacity based on the transformer's rated capacity.

7. The energy-saving and emission-reduction method for an integrated source-grid-load-storage submerged arc furnace according to claim 1, characterized in that, The construction of the new energy output model includes: establishing the constraint relationship between the actual output and ideal output of new energy and the configured capacity, and considering the time-series boundary constraints of the volatility of new energy output and capacity utilization.

8. The energy-saving and emission-reduction method for an integrated source-grid-load-storage submerged arc furnace according to claim 1, characterized in that, The integrated power supply system model for submerged arc furnace smelting also includes: Set operational constraints for the operation of the electric arc furnace; The operational constraints include the minimum and maximum allowable load power constraints of the electric arc furnace, the upper limit constraint on the duration of the load within the allowable fluctuation range, the lower limit constraint on the minimum power required to maintain the main reaction, the safe operating rate constraint of the gas holder and the waste gas generator set, and the lower limit constraint on the gas storage capacity of the gas holder.

9. The energy-saving and emission-reduction method for an integrated source-grid-load-storage submerged arc furnace according to claim 1, characterized in that, The optimal solution for solving the integrated power supply, grid, load, and storage model of the electric arc furnace smelting power supply system using the parameter scanning algorithm includes: Within a preset search space, the capacity of photovoltaic equipment, wind power equipment, energy storage equipment, power supply transformer, gas holder, and waste gas generator set are scanned one by one or layer by layer to obtain several candidate configurations that include the above-mentioned equipment capacities. For each candidate configuration, perform a full-year production operation simulation to calculate its corresponding life-cycle energy supply cost, product sales revenue, and incentive economic income obtained from the adoption of green electricity, and verify whether it meets all constraints. Based on the objective function, the optimal configuration with the objective function value is selected from the candidate configurations that satisfy all constraints, and this optimal configuration is output as an energy-saving and emission-reduction scheme.

10. An energy-saving and emission-reduction system for an integrated electric arc furnace based on source-grid-load-storage, characterized in that, The system includes a control module, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor. The processor executes the computer program to implement the energy-saving and emission-reduction method for an integrated electric arc furnace based on source-grid-load-storage as described in any one of claims 1-9.

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