Real-time electric power flexibility potential quantification and scheduling strategy optimization method for iron and steel enterprises

Abstract

The invention relates to the technical field of power dispatching, in particular to a real-time power flexibility potential quantification and dispatching strategy optimization method for iron and steel enterprises, which comprises the following steps: collecting historical power data of the iron and steel enterprises, and preprocessing the historical power data; dividing the steel production process into regions according to the quantitative flexibility potential based on the coupling relationship between the equipment; in the quantification process of the flexibility potential, extra energy consumption and extra carbon emission participating in power flexibility adjustment in each process are quantified; according to the method, peak and valley electricity prices and renewable energy source volatility of an external electricity market are considered, a multi-target optimization algorithm is used for optimization, an optimization scheduling strategy is formulated, and the strategy is dynamically adjusted according to real-time production data. According to the method, the electric power flexibility potential of the iron and steel enterprise is systematically quantified in real time on the basis of actual production data, and on the basis of considering the electric power cost and load balance, additional energy consumption, carbon emission and dynamic change of an external electric power market are taken into an optimization target to perform comprehensive optimization scheduling.

Description

Technical Field

[0001] This invention relates to the field of power dispatching technology, and in particular to a method for quantifying the real-time power flexibility potential and optimizing dispatching strategies for steel enterprises. Background Technology

[0002] With the large-scale integration of renewable energy into the power grid, the pressure on grid dispatch is increasing. At the same time, steel companies are facing the dual challenges of rising energy costs and carbon emission restrictions. As a high-energy-consuming industry, steel production has high individual capacity and strong controllability, possessing significant flexibility potential. It can improve grid stability and alleviate its own energy and environmental pressures by participating in power load regulation.

[0003] However, the production processes of steel enterprises are highly coupled and continuous, and the regulation of power load is strictly limited by production processes and equipment operating conditions. Traditional power dispatching methods are difficult to meet the requirements of real-time performance and flexibility. Therefore, how to quantify the power flexibility potential of steel enterprises and formulate optimized dispatching strategies has become an urgent technical challenge. Summary of the Invention

[0004] To address the aforementioned technical problems, this invention provides a method for quantifying the real-time power flexibility potential and optimizing scheduling strategies for steel enterprises. This invention fully considers the coupling relationships between equipment in the production process and the limitations of the process safety domain, and systematically quantifies the power flexibility potential of steel enterprises in real time based on actual production data. Simultaneously, considering power costs and load balance, it incorporates additional energy consumption, carbon emissions, and dynamic changes in the external electricity market into the optimization objectives for comprehensive and optimized scheduling.

[0005] The technical means employed in this invention are as follows: A method for quantifying the real-time power flexibility potential and optimizing the scheduling strategy of steel enterprises includes: collecting historical power data of steel enterprises and preprocessing the historical power data; dividing the steel production process into regions based on the quantified flexibility potential according to the coupling relationship between equipment; quantifying the additional energy consumption and additional carbon emissions of each process participating in power flexibility regulation during the quantification process of the flexibility potential; based on the quantification results of the additional energy consumption and additional carbon emissions, considering the peak and valley electricity prices of the external power market and the volatility of renewable energy, using a multi-objective optimization algorithm to find the optimal solution, formulating an optimized scheduling strategy for participating in the real-time demand response market, and dynamically adjusting the strategy according to real-time production data.

[0006] Furthermore, the historical electricity data includes electricity consumption data, production data, carbon emission data, and external electricity market data; The electricity consumption data includes real-time load curves and electricity consumption data of the steel enterprise's electrical equipment; the production data includes production plans, output, and equipment operating status for each process; the carbon emission data includes direct and indirect carbon emissions and carbon offset data for each process; and the external electricity market data includes real-time electricity prices and renewable energy generation forecasts.

[0007] Furthermore, the preprocessing refers to processing and analyzing the historical power data to obtain the load type, load characteristics, energy consumption characteristics, and process safety domain of the steel enterprise's electrical equipment. The load types include loads that can be reduced, loads that can be interrupted, and loads that can be transferred; the load characteristics include load volatility and adjustability; the energy consumption characteristics include the energy consumption patterns under different production conditions, different equipment operating states, and different production strategies; the process safety domain represents the parameter range within which equipment can ensure safe and stable operation during the steel production process.

[0008] Furthermore, the steel production process is divided into a coking and sintering area, a steelmaking-refining-continuous casting area, and a steel rolling area; The coking and sintering area includes equipment for producing coke and sinter; the steelmaking-refining-continuous casting area includes converters, refining furnaces, and continuous casting machines; and the rolling mill area includes heating furnaces, flying shears, and rolling mills.

[0009] Furthermore, the flexibility potential of the coking and sintering zones specifically includes: When the inventory of sinter and coke meets the needs of blast furnace production, the flexibility potential is expressed as:

[0010] in, The flexibility potential of the coking and sintering areas; This refers to the production capacity of the coking and sintering areas; When the inventory of sinter and coke is insufficient to meet blast furnace production, the flexibility potential can be expressed as:

[0011] in, For production equipment The power; Indicates production equipment The running status, when This indicates that the production equipment is operating normally. When this occurs, it indicates that the production equipment participates in flexibility adjustment as an interruptible load; The product inventory of each piece of equipment must meet downstream demand to ensure continuous production.

[0012] in, For production equipment Product inventory; For equipment Minimum product inventory requirements Indicates the production time.

[0013] Product inventory for each device Affected by operating status and upstream and downstream equipment:

[0014] in, This refers to the processing capacity of the equipment per unit of time. This refers to the consumption of downstream equipment; If a machine has sufficient product inventory, it can participate in flexibility adjustments:

[0015] in, I This is an indicator function; it returns 1 when the condition is met and 0 otherwise. Both inventory and power are non-negative numbers: .

[0016] Furthermore, the flexibility potential of the steelmaking-refining-continuous casting zone specifically includes: The real-time electrical activity of the steelmaking-refining-continuous casting zone is:

[0017] in, Real-time flexibility potential for the steelmaking-refining-continuous casting zone; For equipment During the period The power output; K A collection of devices; For steel furnace secondary collection; For the task equipment Processing time; ∈{0,1}, representing the task Is it in the device? time period Start processing; Baseline load; Production process constraints include:

[0018] in, For the task In the equipment Start time; The temperature constraint of molten steel is:

[0019]

[0020] in, For molten steel to enter the equipment Temperature; For molten steel to enter the equipment Minimum temperature limit; Indicates task Molten steel from the equipment j The previous step was transferred to the equipment. j The rate of temperature decrease per unit time during the process; Equipment uniqueness constraint, that is, the same equipment At any time period At most one task can be processed:

[0021] in, Indicates task i In the equipment j The execution status of the task i By equipment j Execution Otherwise, it is 0.

[0022] Furthermore, the flexibility potential of the rolling mill area specifically includes: The flexibility potential of the rolling mill area stems from the rolling mill itself, whose power is related to the steel billet to be rolled; the rolling force on the steel billet is:

[0023] in, For rolling force; The average width of the steel billet; The length of the deformation zone; The coefficient of friction; The thickness of the steel billet before rolling; The thickness of the steel billet after rolling; This represents the change in billet thickness. Resistance to planar deformation; The viscosity coefficient; Poisson's coefficient; The radius of the roll; resistance to planar deformation K Represented as:

[0024] in, Carbon content; Manganese content; Chromium content; This refers to the billet rolling temperature. The equivalent rolling torque of the rolling mill is:

[0025] in, For the first The equivalent torque of the rolling mill; For the first The torque applied during rolling on a rolling mill; For the first The idle torque of the rolling mill; For the first Rolling time of the rolling mill; This refers to the idling time of the rolling mill. Under normal production conditions, the power of each rolling mill is:

[0026] in, For the first The power of the motor; This refers to the motor's rotational speed; For motor transmission efficiency; Demand response potential is expressed as:

[0027] in, P Z Potential for responding to rolling mill demand; Flexibility potential of the rolling mill area Represented as:

[0028] in, It refers to the power of auxiliary equipment in the hot rolling process.

[0029] Furthermore, the additional energy consumption includes: energy consumption for materials to recover to their original state after changes in temperature and pressure, energy consumption caused by increased equipment operating time, energy consumption caused by changes in the operating state of related equipment due to equipment participating in regulation, and energy consumption caused by reduced energy utilization or unused energy due to participation in regulation. The additional energy consumption Represented as:

[0030] in, This represents the energy consumption required for a material to return to its original state after changes in temperature and pressure. This indicates the energy consumption caused by increased equipment operating time. This refers to the energy consumption caused by changes in the operating status of related equipment due to the device's participation in regulation. This refers to energy consumption resulting from reduced energy utilization or unused energy due to participation in regulation. This indicates the additional energy consumed during recovery; Energy consumption for restoring the material to its original state after changes in temperature and pressure. Represented as:

[0031] in, For the first The quality of the materials; For the first Specific heat of the material; For the first Temperature changes of the material; For the first The volume of the material; For the first Pressure changes of various materials; The energy consumption resulting from the increased operating time of the device is expressed as:

[0032] in, For the first The power of the equipment; For the first Increase in the working time of the equipment; The energy consumption caused by the change in the operating state of related equipment due to the device's participation in regulation is expressed as:

[0033] in, For the first Energy consumption caused by the start-up and shutdown of related equipment in Taiwan; For the first Energy consumption caused by changes in the load of related equipment; The energy consumption caused by the reduction in energy utilization or the failure to utilize energy due to the participation of regulation is expressed as:

[0034] in, Energy consumption after participating in flexibility adjustment; This represents energy consumption during normal production. The additional energy consumption for energy recovery is expressed as:

[0035] in, This refers to the various types of energy that have been recycled.

[0036] Furthermore, the additional carbon emissions include both direct and indirect carbon emissions from the flexibility adjustment of various devices. The direct carbon emissions include carbon emissions from additional energy consumption, and the indirect carbon emissions include carbon emissions from additional electricity consumption. The carbon offset is the additional carbon emissions recovered and offset during the adjustment process. The additional carbon emissions are offset by the grid providing a high proportion of green electricity through participation in flexibility adjustment, resulting in offset carbon emissions. The direct carbon emissions Represented as:

[0037] in, The carbon content per unit volume of fuel; For carbon oxidation rate, This indicates the additional gas consumption generated from participating in the demand response process.

[0038] The indirect carbon emissions Represented as:

[0039] in, For the first The consumption of this type of energy; For the first Carbon emission factors of various energy sources; The carbon offset Represented as:

[0040] in, This refers to the amount of by-products generated during the hot rolling process. Carbon emission factors as byproducts; The additional carbon emissions for:

[0041] After participating in demand response, the green electricity content is [missing information]. The electricity will be provided by the grid after production resumes. The duration of green electricity use will offset the carbon emissions. Represented as:

[0042] in, The carbon emission factor of electricity; The duration of green electricity supply from the power grid after production resumes; The carbon benefits of participating in demand response regulation are:

[0043] In the formula, C This refers to the CO2 emission reductions made when participating in demand response.

[0044] Furthermore, considering peak-valley electricity prices in the external electricity market and the volatility of renewable energy, a multi-objective optimization algorithm is used to find the optimal scheduling strategy for participating in the real-time demand response market, specifically including: The peak-valley electricity price and renewable energy volatility in the external electricity market are considered through real-time electricity price forecasting and renewable energy generation forecasting models. The objective function of the multi-objective optimization algorithm includes minimizing additional energy consumption, minimizing carbon emissions, and maximizing the benefits of electricity flexibility adjustment. The objective function of the multi-objective optimization algorithm is expressed as:

[0045] in, For scheduling benefits; To participate in the benefits of real-time flexible electricity pricing, Incentives for participating in real-time flexibility; Provides real-time flexibility for each region; This represents the total additional energy consumption resulting from participating in flexible interactions; This indicates the additional total carbon emissions generated by participating in flexible interactions; Energy consumption for each region to participate in real-time flexibility potential. Carbon emissions when participating in real-time flexibility potential in various regions, The cost coefficient for energy consumption. The cost coefficient for carbon emissions; The flexibility potential offered by each region should meet the following requirements:

[0046]

[0047] in, This provides the flexibility that needs to be provided in real time.

[0048] Furthermore, the dynamic adjustment of the strategy based on real-time production data specifically includes: Real-time monitoring and assessment of the power flexibility potential of steel enterprises; dynamic adjustment of dispatching strategies based on real-time data; long-term quantification and planning of the power flexibility potential of steel enterprises; and quantification and planning of future flexibility potential based on historical data and market trends.

[0049] Compared with the prior art, the present invention has the following advantages: This invention provides a method for quantifying the real-time power flexibility potential and optimizing dispatch strategies for steel enterprises. First, it collects and analyzes data on power consumption, production, carbon emissions, and the external power market to clarify equipment load characteristics and process safety domains. Second, based on equipment coupling relationships, the production process is divided into three regions: coking and sintering, steelmaking-refining-continuous casting, and hot rolling, quantifying the power flexibility potential of each region. Next, combining electricity / gas / heat consumption characteristics and carbon emission intensity, additional energy consumption and carbon emissions are quantified. Finally, based on a multi-objective optimization algorithm, considering peak-valley electricity prices and the volatility of renewable energy, an optimized dispatch strategy is formulated and dynamically adjusted. This method systematically quantifies power flexibility, achieves multi-objective optimization, and supports energy conservation and emission reduction in steel enterprises as well as stable grid operation. Attached Figure Description

[0050] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0051] Figure 1 This is a flowchart of the method for quantifying the real-time power flexibility potential and optimizing the scheduling strategy of steel enterprises in this invention.

[0052] Figure 2 This is a quantitative result of the flexibility potential of the steelmaking-refining-continuous casting zone in the embodiments of the present invention.

[0053] Figure 3 This is a quantitative result of the flexibility potential of the rolling zone in the embodiments of the present invention. Detailed Implementation

[0054] It should be noted that, unless otherwise specified, the embodiments and features described in the present invention can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0055] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit the present invention or its application or use. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0056] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0057] Unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps described in these embodiments do not limit the scope of the invention. It should also be understood that, for ease of description, the dimensions of the various parts shown in the drawings are not drawn to actual scale. Techniques, methods, and devices known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and devices should be considered part of the specification. In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limitations. Therefore, other examples of exemplary embodiments may have different values. It should be noted that similar reference numerals and letters in the following figures denote similar items; therefore, once an item is defined in one figure, it need not be further discussed in subsequent figures.

[0058] like Figure 1 As shown, the present invention provides a method for quantifying the real-time power flexibility potential and optimizing the scheduling strategy of steel enterprises, including: collecting historical power data of steel enterprises and preprocessing the historical power data; in a preferred embodiment of the present invention, the historical power data includes power consumption data, production data, carbon emission data and external power market data.

[0059] Electricity consumption data includes real-time load curves and electricity consumption data of steel enterprises' electrical equipment; production data includes production plans, output, and equipment operating status for each process; carbon emission data includes direct and indirect carbon emissions and carbon offset data for each process; external electricity market data includes real-time electricity prices and renewable energy generation forecasts.

[0060] In specific implementation, as a preferred embodiment of the present invention, preprocessing refers to processing and analyzing historical power data to obtain the load type, load characteristics, and energy consumption characteristics of the electrical equipment in the steel enterprise, as well as the process safety domain of each piece of equipment. Load types include loads that can be reduced, interruptible, and transferable; load characteristics include load volatility and adjustability; energy consumption characteristics include the consumption patterns of energy sources such as coal gas, natural gas, steam, and electricity under different production conditions, different equipment operating states, and different production strategies; the process safety domain represents the parameter range within which equipment can ensure safe and stable operation during steel production. This parameter range typically includes the upper and lower limits of variables such as temperature, pressure, flow rate, and concentration. When process conditions are within these predetermined ranges, the system is in a safe state. The process safety domain, in addition to referring to the safe operating parameter range of individual equipment, also includes the operating parameter ranges of all other equipment interacting with and coupled with the regulating equipment, which are within safe zones under different regulation strategies.

[0061] Based on the coupling relationships between equipment, the steel production process is divided into regions according to quantified flexibility potential. Specifically, as a preferred embodiment of this invention, the steel production process is divided into a coking and sintering region, a steelmaking-refining-continuous casting region, and a rolling mill region. The coking and sintering region includes equipment for producing coke and sintered ore (pelletized ore); the steelmaking-refining-continuous casting region includes converters, refining furnaces, and continuous casting machines; and the rolling mill region includes heating furnaces, flying shears, and rolling mills. For the steel production process, a method and scheduling strategy for quantifying the power flexibility between regions, based on the premise of stable blast furnace production, are developed. Based on the quantified real-time power flexibility potential of the three regions, combined with the process characteristics and equipment operating status of each region, the overall real-time power flexibility adjustment potential of the steel enterprise is calculated. For each region, the stable production or reasonable scheduling of the main equipment in each region should be ensured.

[0062] For each piece of equipment in the coking and sintering areas, the power flexibility potential of each piece of equipment is determined based on the inventory of sinter (pellets) and coke, and the blast furnace production plan. The equipment involved in coking includes: coal mills, batching machines, blowers, coal charging cars, coke pushers, coke quenching cars, and coke quenching cars; the equipment involved in sintering (pellets) includes: batching machines, mixers, crushers, ball mills, blowers, pelletizers, and grate conveyors. In a preferred embodiment of this invention, the flexibility potential of each piece of equipment in the coking and sintering areas can be quantified based on the inventory of each raw material.

[0063] The equipment in the coking and sintering areas is highly adjustable. Adjustable equipment such as batching machines, mixers, and crushers can participate in power flexibility regulation as interruptible loads. Specifically, by monitoring the inventory of sinter (pellets) and coke in real time, and considering the blast furnace ironmaking production plan to assess the time that sinter (pellets) and coke can support production, the operation and start-up / shutdown of sintering (pellets), coking, and other related equipment can be adjusted by setting upper and lower limits for inventory. In this process, the start-up and shutdown of corresponding production equipment can be determined based on the inventory of each raw material. For example, the start-up and shutdown of equipment such as crushers and coal mills can be adjusted based on the inventory of ore powder and coal powder. The difference in load before and after adjustment represents the flexibility potential of the coking and sintering areas.

[0064] When the inventory of sinter and coke meets the needs of blast furnace production, the flexibility potential is expressed as:

[0065] in, The flexibility potential of the coking and sintering areas; This refers to the production capacity of the coking and sintering areas; When the inventory of sinter and coke is insufficient to meet blast furnace production, the flexibility potential can be expressed as:

[0066] in, For production equipment The power; Indicates production equipment The running status, when This indicates that the production equipment is operating normally. When this occurs, it indicates that the production equipment participates in flexibility adjustment as an interruptible load; The product inventory of each piece of equipment must meet downstream demand to ensure continuous production.

[0067] in, For production equipment Product inventory; For equipment Minimum product inventory requirements Indicates the production time.

[0068] Product inventory for each device Affected by operating status and upstream and downstream equipment:

[0069] in, This refers to the processing capacity of the equipment per unit of time. This refers to the consumption of downstream equipment; If a machine has sufficient product inventory, it can participate in flexibility adjustments:

[0070] in, I This is an indicator function; it returns 1 when the condition is met and 0 otherwise. Both inventory and power are non-negative numbers: .

[0071] For the steelmaking-refining-continuous casting area, the power flexibility potential of each piece of equipment is determined based on factors such as blast furnace production plans, molten iron output, temperature drop during molten iron (steel) transfer, and inventory. The equipment involved in the steelmaking-refining-continuous casting area includes oxygen generators, oxygen compressors, fans, refining furnaces, and continuous casting machines. In a preferred embodiment of this invention, due to factors such as molten iron (steel) temperature drop, the equipment in the steelmaking-refining-continuous casting area exhibits strong inter-equipment relationships; therefore, a unified quantification of flexibility potential is performed based on these inter-equipment coupling relationships.

[0072] Each piece of equipment in the steelmaking-refining-continuous casting area needs to operate according to the blast furnace production plan and molten iron output, while also considering the constraints of processing sequence and time during the production process, and coordinating and scheduling production to provide flexibility. Specifically, based on molten iron output, resource scheduling algorithms, task allocation algorithms, and process optimization algorithms are used to reduce load and provide power flexibility while ensuring constraints such as molten iron (steel) transfer, equipment production, and material supply.

[0073] The real-time electrical activity of the steelmaking-refining-continuous casting zone is:

[0074] in, Real-time flexibility potential for the steelmaking-refining-continuous casting zone; For equipment During the period The power output; K A collection of devices; For steel furnace secondary collection; For the task equipment Processing time; ∈{0,1}, representing the task Is it in the device? time period Start processing; Baseline load; Production process constraints include:

[0075] in, For the task In the equipment Start time; The temperature constraint of molten steel is:

[0076]

[0077] in, For molten steel to enter the equipment Temperature; For molten steel to enter the equipment Minimum temperature limit; Indicates task Molten steel from the equipment j The previous step was transferred to the equipment. j The rate of temperature decrease per unit time during the process.

[0078] Equipment uniqueness constraint, that is, the same equipment At any time period At most one task can be processed:

[0079] in, Indicates task i In the equipment j The execution status of the task i By equipment j Execution Otherwise, it is 0.

[0080] For each piece of equipment in the rolling mill area, the load on the rolling mill is determined based on factors such as the order of billets in the heating furnace, thereby determining the flexibility potential of each piece of equipment. The equipment involved in the rolling mill area includes heating furnaces, flying shears, roughing mills, finishing mills, and coilers. In a preferred embodiment of this invention, the main source of flexibility in the rolling mill area is the rolling mill, and the flexibility potential of the rolling mill can be quantified based on the type of steel being rolled.

[0081] Based on the heating sequence of steel billets in the heating furnace and the production plan, and based on the type of steel billet and the furnace exit temperature, the load curve of the rolling mill when rolling the corresponding steel billet is determined, and the flexibility potential when the rolling mill participates in regulation as an interruptible load is determined.

[0082] The flexibility potential of the rolling mill area stems from the mill's power, which is related to the steel billet being rolled; the rolling force on the steel billet is:

[0083] in, For rolling force; The average width of the steel billet; The length of the deformation zone; The coefficient of friction; The thickness of the steel billet before rolling; The thickness of the steel billet after rolling; This represents the change in billet thickness. Resistance to planar deformation; The viscosity coefficient; Poisson's coefficient; The radius of the roll; resistance to planar deformation K Represented as:

[0084] in, Carbon content; Manganese content; Chromium content; This refers to the billet rolling temperature. The equivalent rolling torque of the rolling mill is:

[0085] in, For the first The equivalent torque of the rolling mill; For the first The torque applied during rolling on a rolling mill; For the first The idle torque of the rolling mill; For the first Rolling time of the rolling mill; This refers to the idling time of the rolling mill. Under normal production conditions, the power of each rolling mill is:

[0086] in, For the first The power of the motor; This refers to the motor's rotational speed; For motor transmission efficiency; Demand response potential is expressed as:

[0087] in, P Z Potential for responding to rolling mill demand; Flexibility potential of the rolling mill area Represented as:

[0088] in, It refers to the power of auxiliary equipment in the hot rolling process.

[0089] In the process of quantifying flexibility potential, based on the characteristics of electricity / gas / heat consumption in different production stages, the carbon emission intensity of each stage, and the start-up and shutdown characteristics of production equipment, the additional energy consumption and additional carbon emissions of each process participating in power flexibility adjustment are quantified. In specific implementation, as a preferred embodiment of the present invention, the additional energy consumption includes: the energy consumption of materials returning to their original state after changes in temperature and pressure, the energy consumption caused by the increase in equipment working time, the energy consumption caused by changes in the working state of related equipment due to equipment participating in adjustment, and the energy consumption caused by the reduction in energy utilization rate or the failure to utilize energy due to participation in adjustment.

[0090] Additional energy consumption Represented as:

[0091] in, This represents the energy consumption required for a material to return to its original state after changes in temperature and pressure. This indicates the energy consumption caused by increased equipment operating time. This refers to the energy consumption caused by changes in the operating status of related equipment due to the device's participation in regulation. This refers to energy consumption resulting from reduced energy utilization or unused energy due to participation in regulation. This indicates the additional energy consumed during recovery; Energy consumption for restoring materials to their original state after changes in temperature and pressure. Represented as:

[0092] in, For the first The quality of the materials; For the first Specific heat of the material; For the first Temperature changes of the material; For the first The volume of the material; For the first Pressure changes of the material; The energy consumption resulting from increased equipment operating time is expressed as:

[0093] in, For the first The power of the equipment; For the first Increase in the working time of the equipment; The energy consumption caused by changes in the operating status of related equipment due to the participation of equipment in regulation is expressed as:

[0094] in, For the first Energy consumption caused by the start-up and shutdown of related equipment in Taiwan; For the first Energy consumption caused by changes in the load of related equipment; Energy consumption resulting from reduced energy utilization or unused energy due to regulation is expressed as:

[0095] in, Energy consumption after participating in flexibility adjustment; This represents energy consumption during normal production. The additional energy recovery cost is expressed as:

[0096] in, This refers to the various types of energy that have been recycled.

[0097] In specific implementation, as a preferred embodiment of the present invention, additional carbon emissions include direct carbon emissions and indirect carbon emissions from the participation of various devices in flexibility regulation. Direct carbon emissions include carbon emissions from additional energy consumption, and indirect carbon emissions include carbon emissions caused by additional electricity consumption. Carbon offset is the additional carbon emissions recovered and offset during the regulation process. Additional carbon emissions are offset by the grid providing a high proportion of green electricity through participation in flexibility regulation, resulting in offset carbon emissions.

[0098] Direct carbon emissions Represented as:

[0099] in, The carbon content per unit volume of fuel; For carbon oxidation rate, This indicates the additional gas consumption generated from participating in the demand response process.

[0100] Indirect carbon emissions Represented as:

[0101] in, For the first The consumption of this type of energy; For the first Carbon emission factors of various energy sources; carbon credit Represented as:

[0102] in, This refers to the amount of by-products generated during the hot rolling process. Carbon emission factors as byproducts; Additional carbon emissions for:

[0103] After participating in demand response, the green electricity content is [missing information]. The electricity will be provided by the grid after production resumes. The duration of green electricity use will offset carbon emissions. Represented as:

[0104] in, The carbon emission factor of electricity; The duration of green electricity supply from the power grid after production resumes; The carbon benefits of participating in demand response regulation are:

[0105] In the formula, C This refers to the CO2 emission reductions when participating in demand response.

[0106] Based on the quantitative results of additional energy consumption and additional carbon emissions, and considering the peak-valley electricity prices in the external electricity market and the volatility of renewable energy, a multi-objective optimization algorithm is used to find the optimal scheduling strategy for participating in the real-time demand response market, and the strategy is dynamically adjusted according to real-time production data. In a preferred embodiment of this invention, the peak-valley electricity prices in the external electricity market and the volatility of renewable energy are considered through real-time electricity price forecasting and renewable energy generation forecasting models. The objective function of the multi-objective optimization algorithm includes minimizing additional energy consumption, minimizing carbon emissions, and maximizing the benefits of electricity flexibility adjustment. The objective function of the multi-objective optimization algorithm is expressed as:

[0107] in, For scheduling benefits; To participate in the benefits of real-time flexible electricity pricing, Incentives for participating in real-time flexibility; Provides real-time flexibility for each region; This represents the total additional energy consumption resulting from participating in flexible interactions; This indicates the additional total carbon emissions generated by participating in flexible interactions; Energy consumption for each region to participate in real-time flexibility potential. Carbon emissions when participating in real-time flexibility potential in various regions, The cost coefficient for energy consumption. The cost coefficient for carbon emissions; The flexibility potential offered by each region should meet the following requirements:

[0108]

[0109] in, This provides the flexibility that needs to be provided in real time.

[0110] Real-time monitoring and assessment of the power flexibility adjustment potential of steel enterprises are conducted, and dispatch strategies are dynamically adjusted based on real-time data. Long-term quantification and planning of the power flexibility adjustment potential of steel enterprises are also carried out, quantifying and planning future flexibility adjustment potential based on historical data and market trends.

[0111] Example Based on the method for quantifying the real-time power flexibility potential and optimizing the scheduling strategy of steel enterprises in this invention, this invention also provides a system for quantifying the real-time power flexibility potential and optimizing the scheduling strategy of steel enterprises, including: a data acquisition module, a data processing module, a flexibility potential calculation module, a scheduling strategy optimization module, and an output module.

[0112] The data acquisition module is used to acquire real-time power load data, production plan data, and equipment operating status data of steel enterprises; the data processing module is used to preprocess and extract features from the acquired data; the flexibility potential calculation module is used to calculate the power flexibility potential based on the processed data; the dispatch strategy optimization module is used to generate the optimal dispatch strategy based on the flexibility potential; and the output module is used to output the dispatch strategy to the power dispatch system. In addition, the system also includes a communication interface module for data interaction with external power dispatch systems, enterprise production management systems, and energy management systems to ensure real-time data synchronization and the execution of dispatch strategies.

[0113] Figure 2 This demonstrates the specific application of quantifying the power flexibility potential and optimizing dispatch strategies in the steelmaking-refining-continuous casting region. Figure 3 This study presents the quantitative results of the flexibility potential of the steel rolling area. Through scientific quantitative methods and optimization strategies, enterprises can achieve power flexibility management, reduce energy costs, and decrease carbon emissions, resulting in significant economic and social benefits.

[0114] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for quantifying the real-time power flexibility potential and optimizing dispatch strategies in steel enterprises, characterized in that, include: Collect historical power data from steel enterprises and preprocess the historical power data; The steel production process is divided into zones based on the quantified flexibility potential, according to the coupling relationships between equipment. In the process of quantifying the flexibility potential, the additional energy consumption and additional carbon emissions of each process involved in power flexibility regulation are quantified. Based on the quantitative results of the additional energy consumption and additional carbon emissions, and considering the peak and off-peak electricity prices in the external electricity market and the volatility of renewable energy, a multi-objective optimization algorithm is used to find the best option, formulate an optimized scheduling strategy to participate in the real-time demand response market, and dynamically adjust the strategy according to real-time production data.

2. The method for quantifying the real-time power flexibility potential and optimizing the dispatch strategy of steel enterprises according to claim 1, characterized in that, The historical electricity data includes electricity consumption data, production data, carbon emission data, and external electricity market data; The electricity consumption data includes real-time load curves and electricity consumption data of the steel enterprise's electrical equipment; the production data includes production plans, output, and equipment operating status for each process; the carbon emission data includes direct and indirect carbon emissions and carbon offset data for each process; and the external electricity market data includes real-time electricity prices and renewable energy generation forecasts.

3. The method for quantifying the real-time power flexibility potential and optimizing the dispatch strategy of steel enterprises according to claim 1, characterized in that, The preprocessing refers to processing and analyzing the historical power data to obtain the load type, load characteristics, energy consumption characteristics, and process safety domain of the steel enterprise's electrical equipment. The load types include loads that can be reduced, loads that can be interrupted, and loads that can be transferred; the load characteristics include load volatility and adjustability; the energy consumption characteristics include the energy consumption patterns under different production conditions, different equipment operating states, and different production strategies; the process safety domain represents the parameter range within which equipment can ensure safe and stable operation during the steel production process.

4. The method for quantifying the real-time power flexibility potential and optimizing the dispatch strategy of steel enterprises according to claim 1, characterized in that, The steel production process is divided into a coking and sintering area, a steelmaking-refining-continuous casting area, and a steel rolling area. The coking and sintering area includes equipment for producing coke and sinter; the steelmaking-refining-continuous casting area includes converters, refining furnaces, and continuous casting machines; and the rolling mill area includes heating furnaces, flying shears, and rolling mills.

5. The method for quantifying the real-time power flexibility potential and optimizing the dispatching strategy of steel enterprises according to claim 4, characterized in that, The flexibility potential of the coking and sintering zones specifically includes: When the inventory of sinter and coke meets the needs of blast furnace production, the flexibility potential is expressed as: in, The flexibility potential of the coking and sintering areas; This refers to the production capacity of the coking and sintering areas; When the inventory of sinter and coke is insufficient to meet blast furnace production, the flexibility potential can be expressed as: in, For production equipment The power; Indicates production equipment The running status, when This indicates that the production equipment is operating normally. When this occurs, it indicates that the production equipment participates in flexibility adjustment as an interruptible load; The product inventory of each piece of equipment must meet downstream demand to ensure continuous production. in, For production equipment Product inventory; For equipment Minimum product inventory requirements For production time; Product inventory for each device Affected by operating status and upstream and downstream equipment: in, This refers to the processing capacity of the equipment per unit of time. This refers to the consumption of downstream equipment; If a machine has sufficient product inventory, it can participate in flexibility adjustments: in, I This is an indicator function; it returns 1 when the condition is met and 0 otherwise. Both inventory and power are non-negative numbers: 。 6. The method for quantifying the real-time power flexibility potential and optimizing the dispatching strategy of steel enterprises according to claim 4, characterized in that, The flexibility potential of the steelmaking-refining-continuous casting zone specifically includes: The real-time electrical activity of the steelmaking-refining-continuous casting zone is: in, Real-time flexibility potential for the steelmaking-refining-continuous casting zone; For equipment During the period The power output; K A collection of devices; For steel furnace secondary collection; For the task equipment Processing time; ∈{0,1}, representing the task Is it in the device? time period Start processing; Baseline load; Production process constraints include: in, For the task In the equipment Start time; The temperature constraint of molten steel is: in, For molten steel to enter the equipment Temperature; For molten steel to enter the equipment Minimum temperature limit; Indicates task Molten steel from the equipment j The previous step was transferred to the equipment. j The rate of temperature decrease per unit time during the process; Equipment uniqueness constraint, that is, the same equipment At any time period At most one task can be processed: in, Indicates task i In the equipment j The execution status of the task i By equipment j Execution Otherwise, it is 0.

7. The method for quantifying the real-time power flexibility potential and optimizing the dispatching strategy of steel enterprises according to claim 4, characterized in that, The flexibility potential of the steel rolling area specifically includes: The flexibility potential of the rolling mill area stems from the rolling mill itself, whose power is related to the steel billet to be rolled; the rolling force on the steel billet is: in, For rolling force; The average width of the steel billet; The length of the deformation zone; The coefficient of friction; The thickness of the steel billet before rolling; The thickness of the steel billet after rolling; This represents the change in billet thickness. Resistance to planar deformation; The viscosity coefficient; Poisson's coefficient; The radius of the roll; resistance to planar deformation K Represented as: in, Carbon content; Manganese content; Chromium content; This refers to the billet rolling temperature. The equivalent rolling torque of the rolling mill is: in, For the first The equivalent torque of the rolling mill; For the first The torque applied during rolling on a rolling mill; For the first The idle torque of the rolling mill; For the first Rolling time of the rolling mill; This refers to the idling time of the rolling mill. Under normal production conditions, the power of each rolling mill is: in, For the first The power of the motor; This refers to the motor's rotational speed; For motor transmission efficiency; Demand response potential is expressed as: in, P Z Potential for responding to rolling mill demand; Flexibility potential of the rolling mill area Represented as: in, It refers to the power of auxiliary equipment in the hot rolling process.

8. The method for quantifying the real-time power flexibility potential and optimizing the dispatch strategy of steel enterprises according to claim 1, characterized in that, The additional energy consumption includes: energy consumption for materials to recover to their original state after changes in temperature and pressure, energy consumption caused by increased equipment operating time, energy consumption caused by changes in the operating state of related equipment due to equipment participating in regulation, and energy consumption caused by reduced energy utilization or unused energy due to participation in regulation. The additional energy consumption Represented as: in, This represents the energy consumption required for a material to return to its original state after changes in temperature and pressure. This indicates the energy consumption caused by increased equipment operating time. This refers to the energy consumption caused by changes in the operating status of related equipment due to the device's participation in regulation. This refers to energy consumption resulting from reduced energy utilization or unused energy due to participation in regulation. This indicates the additional energy consumed during recovery; Energy consumption for restoring the material to its original state after changes in temperature and pressure. Represented as: in, For the first The quality of the materials; For the first Specific heat of the material; For the first Temperature changes of the material; For the first The volume of the material; For the first Pressure changes of various materials; The energy consumption resulting from the increased operating time of the device is expressed as: in, For the first The power of the equipment; For the first Increase in the working time of the equipment; The energy consumption caused by the change in the operating state of related equipment due to the device's participation in regulation is expressed as: in, For the first Energy consumption caused by the start-up and shutdown of related equipment in Taiwan; For the first Energy consumption caused by changes in the load of related equipment; The energy consumption caused by the reduction in energy utilization or the failure to utilize energy due to the participation of regulation is expressed as: in, Energy consumption after participating in flexibility adjustment; This represents energy consumption during normal production. The additional energy consumption for energy recovery is expressed as: in, This refers to the various types of energy that have been recycled.

9. The method for quantifying the real-time power flexibility potential and optimizing the dispatch strategy of steel enterprises according to claim 1, characterized in that, The additional carbon emissions include direct and indirect carbon emissions from the flexibility adjustment of various devices. The direct carbon emissions include carbon emissions from additional energy consumption, and the indirect carbon emissions include carbon emissions from additional electricity consumption. The carbon offset is the additional carbon emissions recovered and offset during the adjustment process. The additional carbon emissions are offset by the grid providing a high proportion of green electricity through participation in flexibility adjustment, resulting in offset carbon emissions. The direct carbon emissions Represented as: in, The carbon content per unit volume of fuel; For carbon oxidation rate, This indicates the additional gas consumption generated during the demand response process; The indirect carbon emissions Represented as: in, For the first The consumption of this type of energy; For the first Carbon emission factors of various energy sources; The carbon offset Represented as: in, This refers to the amount of by-products generated during the hot rolling process. Carbon emission factors as byproducts; The additional carbon emissions for: After participating in demand response, the green electricity content is [missing information]. The electricity will be provided by the grid after production resumes. The duration of green electricity use will offset the carbon emissions. Represented as: in, The carbon emission factor of electricity; The duration of green electricity supply from the power grid after production resumes; The carbon benefits of participating in demand response regulation are: In the formula, C This refers to the CO2 emission reductions when participating in demand response.

10. The method for quantifying the real-time power flexibility potential and optimizing the dispatching strategy of steel enterprises according to claim 1, characterized in that, The process considers peak-valley electricity prices in the external electricity market and the volatility of renewable energy, and utilizes a multi-objective optimization algorithm to formulate an optimized scheduling strategy for participating in the real-time demand response market. Specifically, this includes: The peak-valley electricity price and renewable energy volatility in the external electricity market are considered through real-time electricity price forecasting and renewable energy generation forecasting models. The objective function of the multi-objective optimization algorithm includes minimizing additional energy consumption, minimizing carbon emissions, and maximizing the benefits of electricity flexibility adjustment. The objective function of the multi-objective optimization algorithm is expressed as: in, For scheduling benefits; To participate in the benefits of real-time flexible electricity pricing, Incentives for participating in real-time flexibility; Provides real-time flexibility for each region; This represents the total additional energy consumption resulting from participating in flexible interactions; This indicates the additional total carbon emissions generated by participating in flexible interactions; Energy consumption for each region to participate in real-time flexibility potential. Carbon emissions when participating in real-time flexibility potential in various regions, The cost coefficient for energy consumption. The cost coefficient for carbon emissions; The flexibility potential offered by each region should meet the following requirements: in, This provides the flexibility that needs to be provided in real time.

11. The method for quantifying the real-time power flexibility potential and optimizing the dispatch strategy of steel enterprises according to claim 1, characterized in that, The dynamic adjustment of the strategy based on real-time production data specifically includes: Real-time monitoring and assessment of the power flexibility potential of steel enterprises; dynamic adjustment of dispatching strategies based on real-time data; long-term quantification and planning of the power flexibility potential of steel enterprises; and quantification and planning of future flexibility potential based on historical data and market trends.

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