Coordinated scheduling method and device for energy flow-material flow coupling system in steel park

Abstract

This application proposes a coordinated scheduling method for a steel park energy-material flow coupling system, including: establishing an objective function for coordinated scheduling of the steel park energy-material flow coupling system; determining constraints on the production system and the energy system; and, based on the objective function and constraints, coordinating the steel park energy-material flow coupling system based on a scheduling model. This invention, employing this approach, achieves complementary and coordinated regulation of the material flows of the steel park energy-material flow coupling system with energy flows such as gas and electricity, facilitating the green transformation of the steel industry.

Description

Technical Field

[0001] The present application relates to the technical field of operation and control of various energy forms, and in particular to a method and device for collaborative scheduling of an energy flow-material flow coupling system in a steel park. Background Art

[0002] Under the background of "dual carbon", high energy costs, low energy utilization efficiency and large carbon emissions have become key factors restricting the profitability and sustainable development level of most steel companies. Reducing costs, increasing efficiency, saving energy and reducing emissions have become the inevitable choice for the transformation and development of steel companies.

[0003] Steel parks primarily consist of production and energy systems. The material flow in the production system is manifested in the dynamic movement and transformation of iron and its elements, encompassing smelting processes such as blast furnaces, converters, and electric furnaces. The energy flow in the energy system primarily consists of electricity, byproduct gas, and coke, which together form a complex energy system. To optimize steel park operations, current research focuses on optimizing material and energy flows to achieve carbon reduction and increased efficiency.

[0004] However, existing research focuses solely on optimizing material flows within a single production process within steelmaking, neglecting the coupling and matching relationships between different processes. In actual steelmaking, each process is tightly coupled in terms of production sequencing and material scheduling. Furthermore, existing research has overlooked the coupling between material and energy flows within the smelting process. Summary of the Invention

[0005] The present application aims to solve one of the technical problems in the related art at least to a certain extent.

[0006] To this end, the first purpose of this application is to propose a collaborative scheduling method for the energy flow-material flow coupling system of a steel park, which solves the technical problem that the existing method only focuses on the material flow optimization of a single production process in the steel smelting process and ignores the coupling relationship between material flow and energy flow in the smelting process, resulting in suboptimal system scheduling. It achieves the full potential of complementary and coordinated regulation of material flow and energy flows such as gas and electricity while optimizing the material flow of the steel park, thereby helping the green transformation of the steel industry.

[0007] The second purpose of this application is to propose a coordinated scheduling device for the energy flow-material flow coupling system of a steel park.

[0008] To achieve the above-mentioned purpose, the first embodiment of the present application proposes a collaborative scheduling method for the energy flow-material flow coupling system of a steel park, including: establishing an objective function for the collaborative scheduling of the energy flow-material flow coupling system of a steel park; determining the constraints of the production system and the energy system; and collaboratively scheduling the energy flow-material flow coupling system of the steel park based on the scheduling mode according to the objective function and the constraints, wherein the collaborative scheduling process includes: issuing instructions through the scheduling center; solving the objective function based on the constraints and the issued instructions to obtain a scheduling plan; coordinating the production system and the energy system based on the scheduling plan, scheduling the production content through the production system, inputting the gas output into the energy system, scheduling the distribution of the gas through the energy system, and providing power support for the production system.

[0009] The collaborative scheduling method of the energy flow-material flow coupling system of the steel park in the embodiment of the present application establishes a material flow model for the production system by analyzing the timing characteristics and material relationships of the processes such as the blast furnace, converter and electric furnace in the park. Taking into account the energy consumption characteristics and gas production and consumption of each production process, an energy flow-material flow coupling model taking into account gas scheduling is established. Based on the above model, with the goal of minimizing system operating costs and minimizing carbon emissions, the energy flow-material flow of the steel park is collaboratively optimized and scheduled to obtain the optimal production strategy for production equipment such as blast furnaces, converters and electric furnaces, as well as the optimal scheduling results for energy sources such as electricity, gas and coke. It can realize the potential for mutual complementarity and coordinated regulation of material flows and energy flows such as gas and electricity, and help the green transformation of the steel industry.

[0010] Optionally, in one embodiment of the present application, the objective function is expressed as:

[0011]

[0012]

[0013]

[0014]

[0015]

[0016]

[0017] Among them, the production system cost includes the blast furnace production cost C BF , converter production cost C BOF and the cost of the electric furnace C EF , the energy system cost includes the power generation cost of the self-provided power plant C Gen , Gas system release cost C dp , Tempered glass joint production cost C cp and electricity purchase cost Cgrid , represents the carbon emission cost, C P =[C BF ,C BOF ,C EF ] T ,λ BF ,λ BOF ,λ EF They are the unit price matrix of blast furnace feed, converter feed and electric furnace feed, respectively, m BF 、m BOF 、m EF They represent the blast furnace raw material consumption matrix, converter raw material consumption matrix, and electric furnace raw material consumption matrix respectively, and C e =[C Gen ,C dp ,C cp ,C grid ] T ,λ Gen is the power generation cost coefficient of the self-provided power plant, T represents the dispatch period, P t Gen represents the power generation of the self-provided power plant during period t, Δt represents the unit dispatch period, w gas represents the gas set, λ g dp is the penalty coefficient corresponding to the unit volume of gas released by the gas release tower, f g,t dp is the amount of gas g released during period t, are the cost and benefits of producing a unit of methanol, is the amount of methanol produced during period t, are the system electricity purchase price and electricity sales price during period t, are the purchased power and sold power of the system during period t, E t 、 are the total carbon emissions and unit carbon emission cost respectively, S b 、S cs are the types of fuel and carbon-containing solvent in the system, and the types of carbon-fixing products, M i is the material consumption, EF i is the carbon dioxide emission factor, M e is the system's power purchase amount, EF e is the carbon dioxide emission factor for electricity, I e represents carbon emission intensity, w EF Indicates an electric furnace set, are the molten steel output of electric furnace i in period t and the molten steel output of converter i in period t respectively.

[0018] Optionally, in one embodiment of the present application, the constraints of the production system include a blast furnace model, a converter model, and an electric furnace model; the energy system includes a gas system and an electric power system; and the constraints of the energy system include gas source constraints, power balance constraints, and other constraints.

[0019] Alternatively, in one embodiment of the present application, the blast furnace model is represented as:

[0020]

[0021]

[0022]

[0023]

[0024] in, represents the blast furnace production state variable, are the output of molten iron and the consumption of three kinds of iron-containing ores in blast furnace i during period t, is the resource intensity of the three ores, is the type of iron ore entering the furnace, w BF represents the blast furnace set, T represents the scheduling period, m BF is the raw material matrix, m BF It represents the upper and lower limits of the amount of iron ore, the proportion of iron ore, and the amount of raw materials such as coke used by blast furnace i in time period t;

[0025] The converter model is expressed as:

[0026]

[0027]

[0028]

[0029]

[0030] U BOF =pq

[0031] in, represents the converter production state variable, They are the various input and output amounts of converter ii in period t, are the input material type and the output material type, w BOF represents the converter set, T represents the scheduling period, m BOF is the converter raw material consumption matrix, U BOF =[m scrap,t BOF,i ,mslag,t BOF,i ,V BOF,i ], represents the calculation formula of the amount of scrap steel and slag produced by converter i in time period t, and the relationship between converter capacity and metal loading, p and q represent the coefficient matrix of the calculation variables;

[0032] The electric furnace model is expressed as:

[0033]

[0034]

[0035]

[0036]

[0037] in, represents the electric furnace production state variable, is the molten steel output of electric furnace i in period t, is the change in output, m EF is the raw material consumption matrix of the electric furnace, m EF 、 The lower and upper limits of the amount of molten iron, scrap steel and pig iron are w EF represents, and T represents the scheduling period.

[0038] Optionally, in one embodiment of the present application, the gas source constraint is expressed as:

[0039]

[0040]

[0041]

[0042]

[0043]

[0044]

[0045]

[0046]

[0047]

[0048] Among them, b BFG The amount of blast furnace gas produced to generate one ton of molten iron is is the output of molten iron of blast furnace i in period t, is the amount of blast furnace gas generated by the gas system during the τ period, is the volume of converter gas generated by the gas system during the τ period, For converter i in tT BOF Amount of molten iron used in a period, b LDG is the converter gas production coefficient, T BOF 、 are the converter production cycle and oxygen blowing time of one furnace respectively, C1 and C2 are the carbon contents in molten iron and molten steel, α CO 、 is the content of CO and CO2 in the generated furnace gas, w gas For gas collection, f g,t in 、f g,t user 、f g,t Gen 、f g,t cp 、f g,t dp is the amount of coal gas g produced, consumed by production users, flowed into the self-provided power plant, flowed into the tempering co-production link, and released in the t+1 period, h g,t is the gas tank position of gas g in time period t, h g are the upper and lower limits of the cabinet respectively, and Δh represents the maximum gas throughput rate of the gas cabinet;

[0049] The power balance constraint is expressed as:

[0050]

[0051] b1+b2≤1

[0052] in, They are the self-owned power plant power generation, purchased power, photovoltaic power output, wind power output, steel rolling power, gas tank i power consumption and sold power during period t. are the blast furnace, converter and electric furnace powers respectively, b1 and b2 are 0-1 variables;

[0053] Other constraints are expressed as:

[0054]

[0055]

[0056]

[0057]

[0058]

[0059]

[0060] in, is the power of electric furnace i, is the active power of furnace i during period t, is the smelting active power of electric furnace i, The active power adjustment variable of electric furnace i in period t, They are the upper and lower limits of power adjustment respectively. It represents the relationship coefficient between the amount of molten iron fed into the electric furnace i during period t and the furnace power. is the output of molten iron of blast furnace i in period t, Indicates the output change caused by power adjustment, The coefficient of variation in output caused by the adjustment of each unit of electricity consumption of electric furnace i.

[0061] To achieve the above-mentioned purpose, the second embodiment of the present invention proposes a coordinated scheduling device for the energy flow-material flow coupling system of a steel park, including an objective function construction module, a constraint condition construction module, and a coordinated scheduling module, wherein:

[0062] Objective function construction module, used to establish the objective function for the coordinated scheduling of the energy flow-material flow coupling system in the steel park;

[0063] Constraint building module, used to determine the constraints of the production system and energy system;

[0064] The collaborative scheduling module is used to coordinate the energy flow-material flow coupling system of the steel park based on the scheduling mode according to the objective function and constraints. The collaborative scheduling process includes:

[0065] Issue instructions through the dispatch center;

[0066] Based on the constraints and the issued instructions, the objective function is solved to obtain the scheduling plan;

[0067] Based on the scheduling plan, the production system and energy system are coordinated, the production content is scheduled through the production system, the gas output is input into the energy system, the gas distribution is scheduled through the energy system, and power support is provided for the production system.

[0068] Optionally, in one embodiment of the present application, the objective function is expressed as:

[0069]

[0070]

[0071]

[0072]

[0073]

[0074]

[0075] Among them, the production system cost includes the blast furnace production cost C BF , converter production cost C BOF and the cost of the electric furnace C EF , the energy system cost includes the power generation cost of the self-provided power plant C Gen , Gas system release cost C dp , Tempered glass joint production cost C cp and electricity purchase cost C grid , represents the carbon emission cost, C P =[C BF ,C BOF ,C EF ] T ,λ BF ,λ BOF ,λ EF They are the unit price matrix of blast furnace feed, the unit price matrix of converter feed, and the unit price matrix of electric furnace feed, respectively. BF 、m BOF 、m EF They represent the blast furnace raw material consumption matrix, converter raw material consumption matrix, and electric furnace raw material consumption matrix respectively, and C e =[C Gen ,C dp ,C cp ,C grid ] T ,λ Gen is the power generation cost coefficient of the self-provided power plant, T represents the dispatch period, P t Gen represents the power generation of the self-provided power plant during period t, Δt represents the unit dispatch period, w gas represents the gas set, λ g dp is the penalty coefficient corresponding to the unit volume of gas released by the gas release tower, f g,t dp is the amount of gas g released during period t, are the cost and benefits of producing a unit of methanol, is the amount of methanol produced during period t, are the system electricity purchase price and electricity sales price during period t, are the purchased power and sold power of the system during period t, E t 、 are the total carbon emissions and unit carbon emission cost respectively, Sb 、S cs are the types of fuel and carbon-containing solvent in the system, and the types of carbon-fixing products, M i is the material consumption, EF i is the carbon dioxide emission factor, M e is the system's power purchase amount, EF e is the carbon dioxide emission factor for electricity, I e represents carbon emission intensity, w EF Indicates an electric furnace set, are the molten steel output of electric furnace i in period t and the molten steel output of converter i in period t respectively.

[0076] Optionally, in one embodiment of the present application, the constraints of the production system include a blast furnace model, a converter model, and an electric furnace model; the energy system includes a gas system and an electric power system; and the constraints of the energy system include gas source constraints, power balance constraints, and other constraints.

[0077] Alternatively, in one embodiment of the present application, the blast furnace model is represented as:

[0078]

[0079]

[0080]

[0081]

[0082] in, represents the blast furnace production state variable, are the output of molten iron and the consumption of three kinds of iron-containing ores in blast furnace i during period t, is the resource intensity of the three ores, is the type of iron ore entering the furnace, w BF represents the blast furnace set, T represents the scheduling period, m BF is the raw material matrix, m BF It represents the upper and lower limits of the amount of iron ore, the proportion of iron ore, and the amount of raw materials such as coke used by blast furnace i in time period t;

[0083] The converter model is expressed as:

[0084]

[0085]

[0086]

[0087]

[0088] U BOF =pq

[0089] in, represents the converter production state variable, They are the various input and output amounts of converter ii in period t, are the input material type and the output material type, w BOF represents the converter set, T represents the scheduling period, m BOF is the converter raw material consumption matrix, U BOF =[m scrap,t BOF,i ,m slag,t BOF,i ,V BOF,i ], represents the calculation formula of the amount of scrap steel and slag produced by converter i in time period t, and the relationship between converter capacity and metal loading, p and q represent the coefficient matrix of the calculation variables;

[0090] The electric furnace model is expressed as:

[0091]

[0092]

[0093]

[0094]

[0095] in, represents the electric furnace production state variable, is the molten steel output of electric furnace i in period t, is the change in output, m EF is the raw material consumption matrix of the electric furnace, m EF 、 The lower and upper limits of the amount of molten iron, scrap steel and pig iron are w EF represents, and T represents the scheduling period.

[0096] Optionally, in one embodiment of the present application, the gas source constraint is expressed as:

[0097]

[0098]

[0099]

[0100]

[0101]

[0102]

[0103]

[0104]

[0105]

[0106] Among them, b BFG The amount of blast furnace gas produced to generate one ton of molten iron is is the output of molten iron of blast furnace i in period t, is the amount of blast furnace gas generated by the gas system during the τ period, is the volume of converter gas generated by the gas system during the τ period, For converter i in tT BOF Amount of molten iron used in a period, b LDG is the converter gas production coefficient, T BOF 、 are the converter production cycle and oxygen blowing time of one furnace respectively, C1 and C2 are the carbon contents in molten iron and molten steel, α CO 、 is the content of CO and CO2 in the generated furnace gas, w gas For gas collection, f g,t in 、f g,t user 、f g,t Gen 、f g,t cp 、f g,t dp is the amount of coal gas g produced, consumed by production users, flowed into the self-provided power plant, flowed into the tempering co-production link, and released in the t+1 period, h g,t is the gas tank position of gas g in time period t, h g are the upper and lower limits of the cabinet respectively, and Δh represents the maximum gas throughput rate of the gas cabinet;

[0107] The power balance constraint is expressed as:

[0108]

[0109] in, They are the self-owned power plant power generation, purchased power, photovoltaic power output, wind power output, steel rolling power, gas tank i power consumption and sold power during period t. are the blast furnace, converter and electric furnace powers respectively, b1 and b2 are 0-1 variables;

[0110] Other constraints are expressed as:

[0111]

[0112]

[0113]

[0114]

[0115]

[0116]

[0117] in, is the power of electric furnace i, is the active power of furnace i during period t, is the smelting active power of electric furnace i, The active power adjustment variable of electric furnace i in period t, They are the upper and lower limits of power adjustment respectively. It represents the relationship coefficient between the amount of molten iron fed into the electric furnace i during period t and the furnace power. is the output of molten iron of blast furnace i in period t, express, The coefficient of variation in output caused by the adjustment of each unit of electricity consumption of electric furnace i.

[0118] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0119] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0120] Figure 1 A schematic flow chart of a coordinated scheduling method for a steel park energy flow-material flow coupling system provided in Example 1 of the present application;

[0121] Figure 2 A structural schematic diagram of a coordinated scheduling device for a steel park energy flow-material flow coupling system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0122] The following describes in detail embodiments of the present application, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0123] The following describes the coordinated scheduling method and device for the energy flow-material flow coupling system of a steel park in an embodiment of the present application with reference to the accompanying drawings.

[0124] Figure 1 This is a flow chart of a collaborative scheduling method for a steel park energy flow-material flow coupling system provided in Example 1 of the present application.

[0125] like Figure 1 As shown, the coordinated scheduling method of the energy flow-material flow coupling system of the steel park includes the following steps:

[0126] Step 101: Establishing an objective function for coordinated scheduling of the energy flow-material flow coupling system in the steel park;

[0127] Step 102, determining the constraints of the production system and the energy system;

[0128] Step 103: Based on the objective function and the constraints, the energy flow-material flow coupling system of the steel park is collaboratively scheduled based on the scheduling mode. The collaborative scheduling process includes:

[0129] Issue instructions through the dispatch center;

[0130] Based on the constraints and the issued instructions, the objective function is solved to obtain the scheduling plan;

[0131] Based on the scheduling plan, the production system and energy system are coordinated, the production content is scheduled through the production system, the gas output is input into the energy system, the gas distribution is scheduled through the energy system, and power support is provided for the production system.

[0132] The collaborative scheduling method of the energy flow-material flow coupling system of the steel park in the embodiment of the present application establishes a material flow model for the production system by analyzing the timing characteristics and material relationships of the processes such as the blast furnace, converter and electric furnace in the park. Taking into account the energy consumption characteristics and gas production and consumption of each production process, an energy flow-material flow coupling model taking into account gas scheduling is established. Based on the above model, with the goal of minimizing system operating costs and minimizing carbon emissions, the energy flow-material flow of the steel park is collaboratively optimized and scheduled to obtain the optimal production strategy for production equipment such as blast furnaces, converters and electric furnaces, as well as the optimal scheduling results for energy sources such as electricity, gas and coke. It can realize the potential for mutual complementarity and coordinated regulation of material flows and energy flows such as gas and electricity, and help the green transformation of the steel industry.

[0133] Optionally, in one embodiment of the present application, the objective function is expressed as:

[0134]

[0135]

[0136]

[0137]

[0138]

[0139]

[0140] Among them, the production system cost includes the blast furnace production cost C BF , converter production cost C BOF and the cost of the electric furnace C EF , the energy system cost includes the power generation cost of the self-provided power plant C Gen , Gas system release cost C dp , Tempered glass joint production cost C cp and electricity purchase cost C grid , represents the carbon emission cost, C P =[C BF ,C BOF ,C EF ] T ,λ BF ,λ BOF ,λ EF They are the unit price matrix of blast furnace feed, converter feed and electric furnace feed, respectively, m BF 、m BOF 、m EF They represent the blast furnace raw material consumption matrix, converter raw material consumption matrix, and electric furnace raw material consumption matrix respectively, and C e =[C Gen ,C dp ,C cp ,C grid ] T ,λ Gen is the power generation cost coefficient of the self-provided power plant, T represents the dispatch period, P t Gen represents the power generation of the self-provided power plant during period t, Δt represents the unit dispatch period, w gas represents the gas set, λ g dp is the penalty coefficient corresponding to the unit volume of gas released by the gas release tower, f g,t dpis the amount of gas g released during period t, are the cost and benefits of producing a unit of methanol, is the amount of methanol produced during period t, are the system purchase price and sales price of electricity in period t, P t buy 、 are the purchased power and sold power of the system during period t, E t 、 are the total carbon emissions and unit carbon emission cost respectively, S b 、S cs are the types of fuel and carbon-containing solvent in the system, and the types of carbon-fixing products, M i is the material consumption, EF i is the carbon dioxide emission factor, M e is the system's power purchase amount, EF e is the carbon dioxide emission factor for electricity, I e represents carbon emission intensity, w EF Indicates an electric furnace set, are the molten steel output of electric furnace i in period t and the molten steel output of converter i in period t respectively.

[0141] Optionally, in one embodiment of the present application, the constraints of the production system include a blast furnace model, a converter model, and an electric furnace model. The energy system of the steel park mainly includes a gas system and a power system. The constraints of the energy system include gas source constraints, power balance constraints, and other constraints.

[0142] Alternatively, in one embodiment of the present application, the blast furnace model is represented as:

[0143]

[0144]

[0145]

[0146]

[0147] in, represents the blast furnace production state variable, are the output of molten iron and the consumption of three kinds of iron-containing ores in blast furnace i during period t, is the resource intensity of the three ores, is the type of iron ore entering the furnace, w BF represents the blast furnace set, T represents the scheduling period, m BF is the raw material matrix, m BFIt represents the upper and lower limits of the amount of iron ore, the proportion of iron ore, and the amount of raw materials such as coke used by blast furnace i in time period t;

[0148] The converter model is expressed as:

[0149]

[0150]

[0151]

[0152]

[0153] U BOF =pq

[0154] in, represents the converter production state variable, They are the various input and output amounts of converter ii in period t, They are respectively the input material type (molten iron, pig iron, scrap steel, etc.) and the output material type (molten steel, scrap steel, etc.), w BOF represents the converter set, T represents the scheduling period, m BOF is the converter raw material consumption matrix, U BOF =[m scrap,t BOF,i ,m slag,t BOF,i ,V BOF,i ], represents the calculation formula of the amount of scrap steel and slag produced by converter i in time period t, and the relationship between converter capacity and metal loading, p and q represent the coefficient matrix of the calculation variables;

[0155] The electric furnace model is expressed as:

[0156]

[0157]

[0158]

[0159]

[0160] in, represents the electric furnace production state variable, is the molten steel output of electric furnace i in period t, is the change in output, m EF is the raw material consumption matrix of the electric furnace, m EF 、 The lower and upper limits of the amount of molten iron, scrap steel and pig iron are w EF represents, and T represents the scheduling period.

[0161] Optionally, in one embodiment of the present application, the coal gas comes from production equipment such as blast furnaces and converters in the production system, and the coal gas source constraint is expressed as:

[0162]

[0163]

[0164]

[0165]

[0166]

[0167]

[0168]

[0169]

[0170]

[0171] Among them, b BFG The amount of blast furnace gas produced to generate one ton of molten iron is is the output of molten iron of blast furnace i in period t, is the amount of blast furnace gas produced by the gas system during the τ period. It should be noted that the blast furnace coke ratio (the amount of coke consumed to smelt one ton of qualified molten iron) is a constant in this paper. Therefore, the blast furnace molten iron output and the coke consumption are linearly related, that is, Formula (10) shows the relationship between the predicted amount of converter gas and the molten iron fed into the furnace. is the volume of converter gas generated by the gas system during the τ period, For converter i in tT BOF Amount of molten iron used in a period, b LDG is the converter gas production coefficient, T BOF 、 are the converter production cycle and oxygen blowing time of one furnace respectively, C1 and C2 are the carbon contents in molten iron and molten steel, α CO 、 is the CO and CO2 content in the generated furnace gas. In the fifth formula above, w gas For gas collection, f g,t in 、f g,t user 、f g,t Gen 、f g,t cp 、f g,tdp is the amount of coal gas g produced, consumed by production users, flowed into the self-provided power plant, flowed into the tempering co-production link, and released in the t+1 period, h g,t is the gas tank location of gas g in time period t. The seventh formula above is the gas tank location constraint. h g are the upper and lower limits of the cabinet respectively. In the last formula above, Δh represents the maximum gas throughput rate of the gas cabinet;

[0172] The power balance constraint is expressed as:

[0173]

[0174] b1+b2≤1

[0175] in, They are the self-owned power plant power generation, purchased power, photovoltaic power output, wind power output, steel rolling power, gas tank i power consumption and sold power during period t. are the power of blast furnace, converter and electric furnace respectively. b1 and b2 are 0-1 variables and their values ​​cannot be 1 at the same time, indicating that the system cannot purchase and sell electricity at the same time.

[0176] In addition to the above model, the energy flow constraint also includes other constraints, which are expressed as:

[0177]

[0178]

[0179]

[0180]

[0181]

[0182]

[0183] in, is the power of electric furnace i, is the active power of furnace i during period t, is the smelting active power of electric furnace i, The active power adjustment variable of electric furnace i in period t, They are the upper and lower limits of power adjustment respectively. It represents the relationship coefficient between the amount of molten iron fed into the electric furnace i during period t and the furnace power. is the output of molten iron of blast furnace i in period t, The third formula above represents the change in output caused by the power adjustment. The coefficient of variation in output caused by the adjustment of each unit of electricity consumption of electric furnace i.

[0184] In order to implement the above-mentioned embodiment, the present application also proposes a coordinated scheduling device for the energy flow-material flow coupling system of a steel park.

[0185] Figure 2 A structural schematic diagram of a coordinated scheduling device for a steel park energy flow-material flow coupling system provided in an embodiment of the present application.

[0186] like Figure 2 As shown, the coordinated scheduling device of the energy flow-material flow coupling system of the steel park includes an objective function construction module, a constraint condition construction module, and a coordinated scheduling module, wherein:

[0187] Objective function construction module, used to establish the objective function for the coordinated scheduling of the energy flow-material flow coupling system in the steel park;

[0188] Constraint building module, used to determine the constraints of the production system and energy system;

[0189] The collaborative scheduling module is used to coordinate the energy flow-material flow coupling system of the steel park based on the scheduling mode according to the objective function and constraints. The collaborative scheduling process includes:

[0190] Issue instructions through the dispatch center;

[0191] Based on the constraints and the issued instructions, the objective function is solved to obtain the scheduling plan;

[0192] Based on the scheduling plan, the production system and energy system are coordinated, the production content is scheduled through the production system, the gas output is input into the energy system, the gas distribution is scheduled through the energy system, and power support is provided for the production system.

[0193] Optionally, in one embodiment of the present application, the objective function is expressed as:

[0194]

[0195]

[0196]

[0197]

[0198]

[0199]

[0200] Among them, the production system cost includes the blast furnace production cost C BF , converter production cost C BOF and the cost of the electric furnace C EF , the energy system cost includes the power generation cost of the self-provided power plant C Gen , Gas system release cost C dp , Tempered glass joint production cost C cp and electricity purchase cost C grid , represents the carbon emission cost, C P =[C BF ,C BOF ,C EF ] T ,λ BF ,λ BOF ,λ EF They are the unit price matrix of blast furnace feed, converter feed and electric furnace feed, respectively, m BF 、m BOF 、m EF They represent the blast furnace raw material consumption matrix, converter raw material consumption matrix, and electric furnace raw material consumption matrix respectively, and C e =[C Gen ,C dp ,C cp ,C grid ] T ,λ Gen is the power generation cost coefficient of the self-provided power plant, T represents the dispatch period, P t Gen represents the power generation of the self-provided power plant during period t, Δt represents the unit dispatch period, w gas represents the gas set, λ g dp is the penalty coefficient corresponding to the unit volume of gas released by the gas release tower, f g,t dp is the amount of gas g released during period t, are the cost and benefits of producing a unit of methanol, is the amount of methanol produced during period t, are the system electricity purchase price and electricity sales price during period t, are the purchased power and sold power of the system during period t, E t 、 are the total carbon emissions and unit carbon emission cost respectively, S b 、S cs are the types of fuel and carbon-containing solvent in the system, and the types of carbon-fixing products, M i is the material consumption, EF i is the carbon dioxide emission factor, M e is the system's power purchase amount, EFe is the carbon dioxide emission factor for electricity, I e represents carbon emission intensity, w EF Indicates an electric furnace set, are the molten steel output of electric furnace i in period t and the molten steel output of converter i in period t respectively.

[0201] Optionally, in one embodiment of the present application, the constraints of the production system include a blast furnace model, a converter model, and an electric furnace model; the energy system includes a gas system and an electric power system; and the constraints of the energy system include gas source constraints, power balance constraints, and other constraints.

[0202] Alternatively, in one embodiment of the present application, the blast furnace model is represented as:

[0203]

[0204]

[0205]

[0206]

[0207] in, represents the blast furnace production state variable, are the output of molten iron and the consumption of three kinds of iron-containing ores in blast furnace i during period t, is the resource intensity of the three ores, is the type of iron ore entering the furnace, w BF represents the blast furnace set, T represents the scheduling period, m BF is the raw material matrix, m BF It represents the upper and lower limits of the amount of iron ore, the proportion of iron ore, and the amount of raw materials such as coke used by blast furnace i in time period t;

[0208] The converter model is expressed as:

[0209]

[0210]

[0211]

[0212]

[0213] U BOF =pq

[0214] in, represents the converter production state variable, They are the various input and output amounts of converter ii in period t, are the input material type and the output material type, w BOF represents the converter set, T represents the scheduling period, m BOF is the converter raw material consumption matrix, U BOF =[m scrap,t BOF,i ,m slag,t BOF,i ,,V BOF,i ], represents the calculation formula of the amount of scrap steel and slag produced by converter i in time period t, and the relationship between converter capacity and metal loading, p and q represent the coefficient matrix of the calculation variables;

[0215] The electric furnace model is expressed as:

[0216]

[0217] in, represents the electric furnace production state variable, is the molten steel output of electric furnace i in period t, is the change in output, m EF is the raw material consumption matrix of the electric furnace, m EF 、 The lower and upper limits of the amount of molten iron, scrap steel and pig iron are w EF represents, and T represents the scheduling period.

[0218] Optionally, in one embodiment of the present application, the gas source constraint is expressed as:

[0219]

[0220]

[0221]

[0222]

[0223]

[0224]

[0225]

[0226]

[0227]

[0228] Among them, b BFG The amount of blast furnace gas produced to generate one ton of molten iron is is the output of molten iron of blast furnace i in period t, is the amount of blast furnace gas generated by the gas system during the τ period, is the volume of converter gas generated by the gas system during the τ period, For converter i in tT BOF Amount of molten iron used in a period, b LDG is the converter gas production coefficient, T BOF 、 are the converter production cycle and oxygen blowing time of one furnace respectively, C1 and C2 are the carbon contents in molten iron and molten steel, α CO 、 is the content of CO and CO2 in the generated furnace gas, w gas For gas collection, f g,t in 、f g,t user 、f g,t Gen 、f g,t cp 、f g,t dp is the amount of coal gas g produced, consumed by production users, flowed into the self-provided power plant, flowed into the tempering co-production link, and released in the t+1 period, h g,t is the gas tank position of gas g in time period t, h g are the upper and lower limits of the cabinet respectively, and Δh represents the maximum gas throughput rate of the gas cabinet;

[0229] The power balance constraint is expressed as:

[0230]

[0231] b1+b2≤1

[0232] in, They are the self-owned power plant power generation, purchased power, photovoltaic power output, wind power output, steel rolling power, gas tank i power consumption and sold power during period t. are the blast furnace, converter and electric furnace powers respectively, b1 and b2 are 0-1 variables;

[0233] Other constraints are expressed as:

[0234]

[0235]

[0236]

[0237]

[0238]

[0239]

[0240] in, is the power of electric furnace i, is the active power of furnace i during period t, is the smelting active power of electric furnace i, The active power adjustment variable of electric furnace i in period t, They are the upper and lower limits of power adjustment respectively. It represents the relationship coefficient between the amount of molten iron fed into the electric furnace i during period t and the furnace power. is the output of molten iron of blast furnace i in period t, express, The coefficient of variation in output caused by the adjustment of each unit of electricity consumption of electric furnace i.

[0241] It should be noted that the above explanation of the embodiment of the collaborative scheduling method of the energy flow-material flow coupling system of the steel park is also applicable to the collaborative scheduling device of the energy flow-material flow coupling system of the steel park in this embodiment, and will not be repeated here.

[0242] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example" or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.

[0243] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of such features. Throughout the description of this application, "plurality" means at least two, for example, two, three, etc., unless otherwise specifically defined.

[0244] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may be performed out of the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present application belong.

[0245] The logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk cartridge (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and programmable read-only memory (EPROM or flash memory), fiber optic devices, and a portable compact disc read-only memory (CDROM). Furthermore, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing it in another suitable manner if necessary, and then storing it in a computer memory.

[0246] It should be understood that various parts of the present application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used to implement: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0247] Those skilled in the art will understand that all or part of the steps in the method of the above embodiment can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.

[0248] In addition, the functional units in the various embodiments of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into a module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0249] The storage medium mentioned above may be a read-only memory, a magnetic disk, or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application. Persons skilled in the art may make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application.

Claims

1. A coordinated scheduling method for an energy flow-material flow coupling system in a steel park, characterized in that: The following steps are involved: Establish the objective function for the coordinated scheduling of the energy flow-material flow coupling system in the steel park; Identify the constraints of the production and energy systems; According to the objective function and the constraint conditions, the energy flow-material flow coupling system of the steel park is collaboratively scheduled based on the scheduling mode, wherein the collaborative scheduling process includes: Issue instructions through the dispatch center; Based on the constraints and the issued instructions, the objective function is solved to obtain the scheduling plan; Coordinate the production system and energy system based on the scheduling plan, schedule production content through the production system, input gas output into the energy system, schedule gas distribution through the energy system, and provide power support for the production system; Wherein, the objective function is expressed as: Among them, the production system cost includes the blast furnace production cost C BF , converter production cost C BOF and the cost of the electric furnace C EF , the energy system cost includes the power generation cost of the self-provided power plant C Gen , Gas system release cost C dp , Tempered glass joint production cost C cp and electricity purchase cost C grid , represents the carbon emission cost, C P =[C BF ,C BOF ,C EF ] T ,λ BF ,λ BOF ,λ EF They are the unit price matrix of blast furnace feed, converter feed and electric furnace feed, respectively, m BF 、m BOF 、m EF They represent the blast furnace raw material consumption matrix, converter raw material consumption matrix, and electric furnace raw material consumption matrix respectively, and C e =[C Gen ,C dp ,C cp ,C grid ] T ,λ Gen is the power generation cost coefficient of the self-provided power plant, T represents the dispatch period, P t Gen represents the power generation of the self-provided power plant during period t, Δt represents the unit dispatch period, w gas represents the gas set, λ g dp is the penalty coefficient corresponding to the unit volume of gas released by the gas release tower, f g,t dp is the amount of gas g released during period t, are the cost and benefits of producing a unit of methanol, is the amount of methanol produced during period t, are the system electricity purchase price and electricity sales price during period t, are the purchased power and sold power of the system during period t, E t 、 are the total carbon emissions and unit carbon emission cost respectively, S b 、S cs are the types of fuel and carbon-containing solvent in the system, and the types of carbon-fixing products, M i is the material consumption, EF i is the carbon dioxide emission factor, M e is the system's power purchase amount, EF e is the carbon dioxide emission factor for electricity, I e represents carbon emission intensity, w EF Indicates an electric furnace set, are the molten steel output of electric furnace i in period t and the molten steel output of converter i in period t respectively; The constraints of the production system include a blast furnace model, a converter model, and an electric furnace model; the energy system includes a gas system and an electric power system; and the constraints of the energy system include a gas source constraint, an electric power balance constraint, and other constraints.

2. The method according to claim 1, wherein The blast furnace model is expressed as: in, represents the blast furnace production state variable, are the output of molten iron and the consumption of three kinds of iron-containing ores in blast furnace i during period t, is the resource intensity of the three ores, is the type of iron ore entering the furnace, w BF represents the blast furnace set, T represents the scheduling period, m BF is the raw material matrix, m BF It represents the upper and lower limits of the iron ore consumption, iron ore proportion and coke raw material consumption of blast furnace i in period t; The converter model is expressed as: in, represents the converter production state variable, are the various input and output amounts of converter i in period t, are the input material type and the output material type, w BOF represents the converter set, T represents the scheduling period, m BOF is the converter raw material consumption matrix, U BOF =[m scrap,t BOF,i ,m slag,t BOF,i ,V BOF,i ], represents the calculation formula of the amount of scrap steel and slag produced by converter i in time period t, and the relationship between converter capacity and metal loading, p and q represent the coefficient matrix of the calculation variables; The electric furnace model is expressed as: in, represents the electric furnace production state variable, is the molten steel output of electric furnace i in period t, is the change in output, m EF is the raw material consumption matrix of the electric furnace, m EF 、 The lower and upper limits of the amount of molten iron, scrap steel and pig iron are w EF represents, and T represents the scheduling period.

3. The method according to claim 1, wherein The gas source constraint is expressed as: Among them, b BFG The amount of blast furnace gas produced to generate one ton of molten iron is is the output of molten iron of blast furnace i in period t, is the amount of blast furnace gas generated by the gas system during the τ period, is the volume of converter gas generated by the gas system during the τ period, For converter i in tT BOF Amount of molten iron used in a period, b LDG is the converter gas production coefficient, T BOF 、 are the converter production cycle and oxygen blowing time of one furnace respectively, C1 and C2 are the carbon contents in molten iron and molten steel, α CO 、 is the content of CO and CO2 in the generated furnace gas, w gas For gas collection, f g,t in 、f g,t user 、f g,t Gen 、f g,t cp 、f g,t dp is the amount of coal gas g produced, consumed by production users, flowed into the self-provided power plant, flowed into the tempering co-production link, and released in the t+1 period, h g,t is the gas tank position of gas g in time period t, h g are the upper and lower limits of the cabinet respectively, and Δh represents the maximum gas throughput rate of the gas cabinet; The power balance constraint is expressed as: b1+b2≤1 in, They are the self-owned power plant power generation, purchased power, photovoltaic power output, wind power output, steel rolling power, gas tank i power consumption and sold power during period t. are the blast furnace, converter and electric furnace powers respectively, b1 and b2 are 0-1 variables; The other constraints are expressed as: in, is the power of electric furnace i, is the active power of furnace i during period t, is the smelting active power of electric furnace i, The active power adjustment variable of electric furnace i in period t, They are the upper and lower limits of power adjustment respectively. It represents the relationship coefficient between the amount of molten iron fed into the electric furnace i during period t and the furnace power. is the output of molten iron of blast furnace i in period t, Indicates the output change caused by power adjustment, The coefficient of variation in output caused by the adjustment of each unit of electricity consumption of electric furnace i.

4. A coordinated scheduling device for an energy flow-material flow coupling system in a steel park, characterized in that: It includes objective function building module, constraint condition building module and collaborative scheduling module, among which, The objective function building module is used to establish the objective function of the coordinated scheduling of the energy flow-material flow coupling system of the steel park; The constraint condition building module is used to determine the constraint conditions of the production system and the energy system; The collaborative scheduling module is used to perform collaborative scheduling of the energy flow-material flow coupling system of the steel park based on the scheduling mode according to the objective function and the constraint conditions, wherein the collaborative scheduling process includes: Issue instructions through the dispatch center; Based on the constraints and the issued instructions, the objective function is solved to obtain the scheduling plan; Coordinate the production system and energy system based on the scheduling plan, schedule production content through the production system, input gas output into the energy system, schedule gas distribution through the energy system, and provide power support for the production system; Wherein, the objective function is expressed as: Among them, the production system cost includes the blast furnace production cost C BF , converter production cost C BOF and the cost of the electric furnace C EF , the energy system cost includes the power generation cost of the self-provided power plant C Gen , Gas system release cost C dp , Tempered glass joint production cost C cp and electricity purchase cost C grid , represents the carbon emission cost, C P =[C BF ,C BOF ,C EF ] T ,λ BF ,λ BOF ,λ EF They are the unit price matrix of blast furnace feed, converter feed and electric furnace feed, respectively, m BF 、m BOF 、m EF They represent the blast furnace raw material consumption matrix, converter raw material consumption matrix, and electric furnace raw material consumption matrix respectively, and C e =[C Gen ,C dp ,C cp ,C grid ] T ,λ Gen is the power generation cost coefficient of the self-provided power plant, T represents the dispatch period, P t Gen represents the power generation of the self-provided power plant during period t, Δt represents the unit dispatch period, w gas represents the gas set, λ g dp is the penalty coefficient corresponding to the unit volume of gas released by the gas release tower, f g,t dp is the amount of gas g released during period t, are the cost and benefits of producing a unit of methanol, is the amount of methanol produced during period t, are the system electricity purchase price and electricity sales price during period t, are the purchased power and sold power of the system during period t, E t 、 are the total carbon emissions and unit carbon emission cost respectively, S b 、S cs are the types of fuel and carbon-containing solvent in the system, and the types of carbon-fixing products, M i is the material consumption, EF i is the carbon dioxide emission factor, M e is the system's power purchase amount, EF e is the carbon dioxide emission factor for electricity, I e represents carbon emission intensity, w EF Indicates an electric furnace set, are the molten steel output of electric furnace i in period t and the molten steel output of converter i in period t respectively; The constraints of the production system include a blast furnace model, a converter model, and an electric furnace model; the energy system includes a gas system and an electric power system; and the constraints of the energy system include a gas source constraint, an electric power balance constraint, and other constraints.

5. The device according to claim 4, characterized in that The blast furnace model is expressed as: in, represents the blast furnace production state variable, are the output of molten iron and the consumption of three kinds of iron-containing ores in blast furnace i during period t, is the resource intensity of the three ores, is the type of iron ore entering the furnace, w BF represents the blast furnace set, T represents the scheduling period, m BF is the raw material matrix, m BF It represents the upper and lower limits of the iron ore consumption, iron ore proportion and coke raw material consumption of blast furnace i in period t; The converter model is expressed as: in, represents the converter production state variable, are the various input and output amounts of converter i in period t, are the input material type and the output material type, w BOF represents the converter set, T represents the scheduling period, m BOF is the converter raw material consumption matrix, U BOF =[m scrap,t BOF,i ,m slag,t BOF,i ,V BOF,i ], represents the calculation formula of the amount of scrap steel and slag produced by converter i in time period t, and the relationship between converter capacity and metal loading, p and q represent the coefficient matrix of the calculation variables; The electric furnace model is expressed as: in, represents the electric furnace production state variable, is the molten steel output of electric furnace i in period t, is the change in output, m EF is the raw material consumption matrix of the electric furnace, m EF 、 The lower and upper limits of the amount of molten iron, scrap steel and pig iron are w EF represents, and T represents the scheduling period.

6. The device according to claim 4, characterized in that The gas source constraint is expressed as: Among them, b BFG The amount of blast furnace gas produced to generate one ton of molten iron is is the output of molten iron of blast furnace i in period t, is the amount of blast furnace gas generated by the gas system during the τ period, is the volume of converter gas generated by the gas system during the τ period, For converter i in tT BOF Amount of molten iron used in a period, b LDG is the converter gas production coefficient, T BOF 、 are the converter production cycle and oxygen blowing time of one furnace respectively, C1 and C2 are the carbon contents in molten iron and molten steel, α CO 、 is the content of CO and CO2 in the generated furnace gas, w gas For gas collection, f g,t in 、f g,t user 、f g,t Gen 、f g,t cp 、f g,t dp is the amount of coal gas g produced, consumed by production users, flowed into the self-provided power plant, flowed into the tempering co-production link, and released in the t+1 period, h g,t is the gas tank position of gas g in time period t, h g are the upper and lower limits of the cabinet respectively, and Δh represents the maximum gas throughput rate of the gas cabinet; The power balance constraint is expressed as: b1+b2≤1 in, They are the self-owned power plant power generation, purchased power, photovoltaic power output, wind power output, steel rolling power, gas tank i power consumption and sold power during period t. are the blast furnace, converter and electric furnace powers respectively, b1 and b2 are 0-1 variables; The other constraints are expressed as: in, is the power of electric furnace i, is the active power of furnace i during period t, is the smelting active power of electric furnace i, The active power adjustment variable of electric furnace i in period t, They are the upper and lower limits of power adjustment respectively. It represents the relationship coefficient between the amount of molten iron fed into the electric furnace i during period t and the furnace power. is the output of molten iron of blast furnace i in period t, express, The coefficient of variation in output caused by the adjustment of each unit of electricity consumption of electric furnace i.

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