Energy distribution method and device for coal gas-steam-power coupling system

Abstract

The invention provides an energy distribution method and device for a coal gas-steam-electric power coupling system. The method comprises the steps that energy medium parameters of the coal gas-steam-electric power coupling system of a target enterprise are acquired; based on the energy medium parameters and the time-of-use electricity prices and coal prices at different time periods, establishing a gas-steam-power coupling energy flow MILP model; determining an objective function and constraint conditions of the gas-steam-electric power coupling energy flow MILP model according to actual application requirements; and based on the objective function and the constraint condition, solving the gas-steam-electric power coupling energy flow MILP model to obtain a solving result of each energy medium parameter. According to the method, the minimum energy cost is taken as a target, and the established gas-steam-power coupling energy flow MILP model is solved, so that the optimal distribution scheme of each energy medium which meets the preset condition and has the minimum energy cost can be quickly obtained, and the internal flexibility adjustment potential of the iron and steel enterprise is excavated according to the optimal distribution scheme; and friendly interaction with a power grid is promoted.

Description

Technical Field

[0001] The present invention relates to the field of energy utilization optimization and power grid technology, and in particular to a method and device for distributing energy in a gas-steam-electricity coupling system. Background Art

[0002] Energy dispatch in the steel industry is a key means to improve system efficiency and flexibility. However, most studies focus on the optimization of single energy media such as gas, steam and electricity, or fail to fully consider the constraints of internal production processes, resulting in inefficient resource allocation or inaccurate assessment of regulation capacity. On the other hand, existing research mainly focuses on reducing the operating costs of steel enterprises under constant electricity prices, ignoring the load regulation potential of steel enterprises as virtual power plants interacting with the power grid. Summary of the invention

[0003] The present invention provides a method and device for allocating energy in a gas-steam-electricity coupling system, which is used to solve the defects in the prior art of optimizing a single energy medium such as gas, steam and electricity, or failing to fully consider the constraints of the internal production process, resulting in low resource allocation efficiency or inaccurate evaluation of the regulation capacity, and realize the optimal allocation of energy in the steel production process.

[0004] The present invention provides a method for distributing energy in a gas-steam-electricity coupling system, comprising: Obtain the energy medium parameters of the target enterprise's gas-steam-electricity coupling system; Based on the energy medium parameters and the time-of-use electricity price and coal price in different time periods, a gas-steam-electricity coupled energy flow MILP model is established; According to actual application requirements, determine the objective function and constraint conditions of the gas-steam-electricity coupled energy flow MILP model; Based on the objective function and the constraint conditions, the gas-steam-electricity coupled energy flow MILP model is solved to obtain solution results of the energy medium parameters.

[0005] According to the energy distribution method of the gas-steam-electricity coupling system provided by the present invention, the energy medium parameters include at least: relevant parameters of the energy medium blast furnace gas BFG, coke oven gas COG, converter gas LDG, steam, electricity and coal.

[0006] According to the energy allocation method for the gas-steam-electricity coupling system provided by the present invention, the objective function is the minimum operating cost of the gas-steam-electricity coupling system under the time-of-use electricity price condition, specifically: min

[0007] Where Y is the operating cost of the gas-steam-electricity coupling system, y coal represents the cost of purchasing coal, y ele represents the cost of purchasing electricity from the grid, y p1 represents the penalty cost of gas release, y p2 represents the penalty cost of the gas holder, y p3 represents the penalty cost of boiler burner switching, y p4 Indicates the additional penalty cost of switching 2 or 3 burners of a fuel boiler at the same time, y main represents the maintenance cost of each device in the gas-steam-electricity coupling system, y coal , y ele , y p1 , y p2 , y p3 , y p4 , y main The calculation formulas are: ; ; ; ; ; ; ; in, t ( i=1,2,...,T ) represents a period of time; j ( j=1,2,...,J ) represents a steam turbine; k ( k=1,2,...,K ) represents a CHP unit; q ( q=1,2,...,Q ) indicates the type of fuel; i ( i=1,2,...,I ) represents a boiler; m ( m=1,2,…, M ) represents CDQ unit; C q represents the price of coal; V kqtrepresents the flow rate of type q fuel consumed by the cogeneration unit k in the time period t; Indicates the length of time; Cexp t and Cimp t Respectively represent the purchase and sale prices of electricity; f imp t Indicates the amount of electricity purchased from the grid in each period; f exp t Indicates the amount of electricity sold by the power grid in each period; Eem q represents the penalty coefficient for by-product gas emission; Qem qt represents the by-product gas emission of type q fuel gas storage tank in time period t; EL q and EH q Respectively q The penalty coefficient for the inventory level of the gas storage tank of the by-product gas is in the low operating area and the penalty coefficient for the inventory level of the by-product gas is in the high operating area; SInv and SqFt are two positive slack variables, which are used to indicate the deviation of the gas tank cabinet from the normal level; ESW q express q The penalty coefficient for the gas storage tank of the type byproduct gas deviating from the normal operating level; variable ibn 1 iqt , ibn 2 iqt and ibn 3 iqt Respectively indicate the situation of changing the status of 1, 2 and 3 burners; E2S q and E3S q Respectively indicate that the boiler switches simultaneously and q Penalty coefficients for two burners and three burners related to the by-product gas, Cm i Indicates the maintenance cost per ton of water passed by the boiler, CPM j , CPM k , CPM m Respectively represent the maintenance cost corresponding to each kilowatt-hour of electricity generated by the steam turbine, cogeneration unit, and waste heat recovery unit; represents the water flow rate of boiler i in time period t; Indicates the turbine in time period t j of power generation; Indicates that the CHP unit in time period t k of power generation; f mt Represents the power generation of CDQ unit in time period t.

[0008] According to the energy allocation method for a gas-steam-electricity coupling system provided by the present invention, the constraints include steam-electricity system model constraints, gas, steam and electricity balance constraints, gas tank operation constraints, burner operation constraints, power generation ramp rate constraints, time period electricity price constraints and time period coal price constraints.

[0009] According to the energy allocation method for a gas-steam-electricity coupling system provided by the present invention, the steam-electricity system model includes a boiler, a steam turbine, a CHP unit and a CDQ unit; Correspondingly, the constraints of the steam-electric system model include: Boiler constraints: ; ; ; in, r ( r=1,2,...,R ) represent different grades of steam; S irt Indicates during the period t Internal boiler i Produced r Flow rate of graded steam; hs r It represents the enthalpy of r-grade water vapor; Sw it Indicates during the period t Internal boiler i The water flow rate; represents the boiler feed water enthalpy; V iqt Indicates that the boiler is supplied during the period t i The fuel feed flow rate; η i Indicates boiler i Thermal efficiency; Indicates different types of gas; v q Indicates the calorific value of different fuels, h is the enthalpy of steam, v min i Indicates boiler i The minimum heating value required for normal operation; Steam turbine constraints: ; ;

[0010] in, Sj in and Sj out respectively represent the flow into and out of the turbine during time period tj Steam flow rate; S in jrt and S out jrt represent the flow into and out of the turbine during time period t j of r Grade steam flow rate; f j,t Indicates the turbine in time period t j of power generation; h c f It represents the enthalpy per kilowatt-hour; Constraints of CHP unit: ; ; in, f kt Indicates that the CHP unit in time period t k of power generation, S krt Indicates that the CHP unit in time period t k Produced r The flow rate of steam at the stage; η k represents the efficiency of the k-type boiler; I k Represents the boiler in a combined heat and power unit; V iqt Indicates that the boiler is supplied during the period t i The fuel feed flow rate; η i Indicates boiler i Thermal efficiency; hv min k represents the minimum calorific value required for the combined heat and power unit k; Constraints of CDQ unit: ; in, m ( m=1,2,…,M ) represents the CDQ unit; f mt It represents the power generation of CDQ unit in time period t; S mrt Indicates the CDQ unit in period t r The production of steam at the stage; η m It represents the efficiency of CDQ unit; E in mt It represents the total waste heat recovered by the CDQ unit from the steel production process during time period t.

[0011] According to the gas-steam-electricity coupling system energy distribution method provided by the present invention, the gas, steam and electricity balance system includes a power generation system, a steam system and a gas system; The gas, steam and electricity balance system constraints include: Power generation system constraints:

[0012] in, f dem t Indicates the power demand in each period; y imp P, t The variable is 0 or 1, indicating whether electricity is purchased; y expP, t The variable is 0 or 1 to indicate whether electricity is sold; Steam system constraints:

[0013] in, S irt Indicates during the period t Internal boiler i Produced r Flow rate of graded steam; S krt represents the production of r-level steam of CHP unit k in time period t; S mrt Indicates that CDQ unit in time period t m of r The production of steam at the stage; S in jrt and S out jrt represent the flow into and out of the turbine during time period t j of r Grade steam flow rate; S dem rt express t Production link of time period r The demand for steam of the first stage; Gas system constraints:

[0014] in, inv qt Indicates that at the end of period t, the gas tank q The storage capacity of the type of gas; V gen qt Indicated in tThe rate of gas generation during the period; Q Indicated in t Production process within a period of time u middle q The consumption rate of the type of gas; V iqt Indicates that the boiler is supplied during the period t i The fuel feed flow rate; Q emission Indicates the amount of gas released; inv min q , inv max q Respectively represent the minimum and maximum inventory levels of the gas tank.

[0015] According to the energy allocation method for a gas-steam-electricity coupling system provided by the present invention, the gas cabinet operation constraint conditions include:

[0016] in, inv qt Indicates that at the end of period t, the gas tank q The storage capacity of the type of gas; Inv and Inv Respectively represent the high and low gas storage capacity in the safe operation area; SInv and SqFt are two positive slack variables used to represent the deviation of the gas tank cabinet position from the normal level.

[0017] According to the energy allocation method for a gas-steam-electricity coupling system provided by the present invention, the burner operation constraints include: A maximum of three burners are allowed to change state in each period, and the total amount of gas entering the boiler in each period is:

[0018] in, V iqt Indicates during the period t Internal supply boiler i The fuel feed flow rate; V iq Indicates that a single burner supplies the boiler during time period t i The fuel feed flow rate; N iqt Indicates the number of burners currently in the on state; In the period t The number of burners that change state is:

[0019] Among them, Δ Niqt Indicates the number of burners that are currently changing state.

[0020] According to the energy allocation method for a gas-steam-electricity coupling system provided by the present invention, the power generation ramp rate constraint conditions include:

[0021] in, x ∈ j , k , m , j, k, m They are steam turbine, CHP unit and CDQ unit respectively; D R x , U R x Respectively represent the maximum and minimum power generation ramp rates of each unit.

[0022] The present invention also provides a gas-steam-electricity coupling system energy distribution device, comprising: An acquisition module is used to obtain energy medium parameters of the target enterprise's gas-steam-electricity coupling system; A model building module, used to build a gas-steam-electricity coupled energy flow MILP model based on the energy medium parameters and time-of-use electricity prices and coal prices in different time periods; A determination module, used to determine the objective function and constraint conditions of the gas-steam-electricity coupled energy flow MILP model according to actual application requirements; A solution module is used to solve the gas-steam-electricity coupled energy flow MILP model based on the objective function and the constraint conditions to obtain solution results of each energy medium parameter.

[0023] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the energy distribution method for the gas-steam-electricity coupling system as described above is implemented.

[0024] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the energy distribution method of the gas-steam-electricity coupling system as described in any one of the above is implemented.

[0025] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the energy distribution method of the gas-steam-electricity coupling system as described above is implemented.

[0026] The gas-steam-electricity coupling system energy allocation method and device provided by the present invention obtains the energy medium parameters of the gas-steam-electricity coupling system of the target enterprise; establishes a gas-steam-electricity coupling energy flow MILP model based on the energy medium parameters and the time-of-use electricity price and coal price in different time periods; determines the objective function and constraint conditions of the gas-steam-electricity coupling energy flow MILP model according to actual application requirements; solves the gas-steam-electricity coupling energy flow MILP model based on the objective function and the constraint conditions to obtain the solution results of each energy medium parameter. The present invention can quickly obtain the optimal allocation plan for each energy medium by solving the established gas-steam-electricity coupling energy flow MILP model. The obtained optimal allocation plan can tap the inherent flexibility adjustment potential of the steel enterprise and promote its friendly interaction with the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0028] Figure 1 It is a schematic flow chart of the energy distribution method of the gas-steam-electricity coupling system provided by the present invention.

[0029] Figure 2 It is a schematic diagram of a gas-steam-electricity system for a steel enterprise provided by an embodiment of the present invention.

[0030] Figure 3 This is a schematic diagram of S1 steam generation under time-of-use electricity prices provided by an embodiment of the present invention.

[0031] Figure 4 It is a schematic diagram of S2 steam generation under time-of-use electricity price provided by an embodiment of the present invention.

[0032] Figure 5 It is a schematic diagram of S3 steam generation under time-of-use electricity price provided by an embodiment of the present invention.

[0033] Figure 6 It is a schematic diagram of power generation and power purchase under different situations provided by an embodiment of the present invention.

[0034] Figure 7 It is a schematic diagram of coal purchase quantity under time-of-use electricity price and non-time-of-use electricity price provided by an embodiment of the present invention.

[0035] Figure 8 It is a schematic diagram of the system electricity and coal purchasing costs provided by an embodiment of the present invention.

[0036] Fig. 9 It is a structural schematic diagram of an energy distribution device for a gas-steam-electricity coupling system provided in an embodiment of the present invention.

[0037] Fig.10 It is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0038] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0039] Among the high-energy-consuming industries represented by the smelting of ferrous and non-ferrous metals, the steel industry is one of the industries with the highest energy consumption. Although the steel production process consumes energy, it also produces a large amount of secondary energy such as gas, steam and electricity. The effective use of these secondary energy sources gives steel companies a strong self-generation capacity, enabling them to adjust internal energy allocation according to the flexible needs of the power system and power market conditions, allowing steel companies to participate more deeply in demand-side response and help the power grid absorb renewable energy.

[0040] In recent years, scholars have conducted extensive research on the optimal allocation of secondary energy in the steel production process. Early studies focused on the optimal allocation of a single energy source, among which the optimal scheduling of gas, steam, and electricity was the majority, and a small number of studies focused on the optimization of the oxygen system. In order to optimize gas distribution and system operating costs, Zhao et al. proposed a MILP model under the conditions of boiler penalty factors and gas holder penalty factors. Shu Yongpeng focused on the overall energy system of steel enterprises, studied the coordinated conversion and optimization of three energy sources: gas, steam, and electricity, and established a MILP-based gas-steam-electricity coordinated scheduling model with the minimum operating cost of the energy system as the objective function. Zeng et al. comprehensively considered factors such as dynamic energy demand, switching of boiler burners, and fluctuation penalties of gas storage tanks, and achieved the optimal allocation of multiple energy media such as gas, steam, and coal within the optimization cycle.

[0041] However, most of the above studies focus on the optimization of a single energy medium such as gas, steam or electricity, or fail to fully consider the constraints of each energy medium in the production process, resulting in low energy allocation efficiency or inaccurate evaluation of energy regulation capacity. On the other hand, existing research mainly focuses on reducing the operating costs of steel enterprises under constant electricity prices, ignoring the load regulation potential of steel enterprises as virtual power plants interacting with the power grid.

[0042] To solve the above problems, the present invention provides an energy allocation method for a gas-steam-electricity coupling system. Taking the minimum energy cost of the enterprise as the goal, a mathematical model of the gas-steam-electricity coupling energy flow is established based on the mixed integer linear programming (MILP) method. By solving the model, an allocation plan for each energy medium that meets the preset conditions and has the minimum energy cost is obtained.

[0043] Combine the following Figure 1-Figure 8 The energy distribution method of the gas-steam-electricity coupling system of the present invention is described.

[0044] Figure 1 Schematic diagram of the process of the energy distribution method of the gas-steam-electricity coupling system provided by the present invention, such as Figure 1 As shown, the method comprises the following steps: Step 100: Obtain energy medium parameters of the target enterprise's gas-steam-electricity coupling system; Step 200: Establish a gas-steam-electricity coupled energy flow MILP model based on the energy medium parameters and the time-of-use electricity price and coal price in different time periods; Step 300: Determine the objective function and constraint conditions of the gas-steam-electricity coupled energy flow MILP model according to actual application requirements; Step 400: Based on the objective function and the constraint conditions, the gas-steam-electricity coupled energy flow MILP model is solved to obtain solution results of the energy medium parameters.

[0045] Specifically, the embodiment of the present invention provides a demand-side response method for the gas-steam-electricity system of a steel enterprise. For a typical steel enterprise, multiple energy medium parameters of each process / equipment of the steel process are obtained; based on the obtained multiple energy medium parameters, as well as the time-of-use electricity price and coal price in different time periods, with the minimum energy cost of the enterprise as the goal, a gas-steam-electricity coupling energy flow mathematical model is established based on the MILP method; the established gas-steam-electricity coupling energy flow mathematical model is solved to obtain the allocation scheme of each energy medium that meets the preset conditions and has the minimum energy cost. Here, the preset conditions include: on the premise of meeting the balance of production energy consumption; according to the allocation scheme of each energy medium that meets the preset conditions and has the minimum energy cost, the energy structure is optimized and adjusted; the gas-steam-electricity coupling system obtained based on the optimized and adjusted energy structure can improve the energy conversion efficiency of the enterprise, improve the economic benefits of the enterprise, tap the inherent flexibility adjustment potential of the steel enterprise, and promote its friendly interaction with the power grid.

[0046] In some possible implementation schemes, the energy medium parameters include at least: relevant parameters of the energy medium blast furnace gas BFG, coke oven gas COG, converter gas LDG, steam, electricity, and coal.

[0047] Specifically, in step 100, the energy medium parameters of the target enterprise's gas-steam-electricity coupling system are obtained, specifically, multiple energy medium parameters of each process and each equipment in the steel production process are obtained.

[0048] In a possible embodiment, the energy medium of each process / equipment of the steel production process is obtained and analyzed in units of hourly energy consumption. The energy medium obtained may include but is not limited to: blast furnace gas (BFG), coke oven gas (COG), converter gas (LDG), steam, electricity, coal, etc.; when analyzing and studying the above energy media, the physical and chemical parameters of each energy medium, energy utilization / conversion technology, energy conversion efficiency, restrictive conditions for energy conversion / utilization, energy medium consumption, generation and recovery, etc. are mainly analyzed.

[0049] It is worth noting that before establishing a mathematical model of gas-steam-electricity coupled energy flow, the following assumptions are generally required: a. The by-product gas generation rate in the production device is constant in sections; b. The demand for by-product gas from the production unit is constant in sections; c. The steam demand of the production unit is constant in sections; d. The power demand of the production unit is constant in sections; e. Ignore the cost of water.

[0050] It can be understood that the above assumptions are based on the actual application of the steel production process and are consistent with the actual application scenarios of steel production or other gas-steam-electricity coupling systems.

[0051] In order to realize the energy allocation method of the gas-steam-electricity coupling system, this embodiment obtains various energy medium parameters of each process / equipment of the steel process, takes the energy medium parameters as the object of energy allocation, places each process / equipment of the steel process within the optimization range, and obtains the allocation plan of each energy medium that meets the preset conditions and has the minimum energy cost, so as to realize the optimization adjustment of the demand-side energy structure of the gas-steam-electricity system of the steel enterprise.

[0052] Step 200: Establish a gas-steam-electricity coupled energy flow MILP model based on the energy medium parameters and the time-of-use electricity price and coal price in different time periods; Among some possible implementation plans, this plan combines the production constraints within the steel enterprise, as well as safety factors such as gas storage cabinet positions and boiler burner switches during the production process. Based on the MILP method, while ensuring the normal production of the steel enterprise, combined with the actual production process, a gas-steam-electricity coupling scheduling model is established with the goal of minimizing system operating costs and taking into account time-of-use electricity prices and coal prices.

[0053] Step 300: Determine the objective function and constraint conditions of the gas-steam-electricity coupled energy flow MILP model according to actual application requirements; In some possible implementation schemes, this scheme combines the MILP model obtained in step 200, and takes the minimum energy cost of the enterprise as the goal based on the obtained parameters of various energy media, as well as time-of-use electricity prices and coal prices in different time periods.

[0054] In a possible embodiment, Figure 2 Schematic diagram of the gas-steam-electricity system of a steel enterprise provided by an embodiment of the present invention. Figure 2 As shown in the figure, the main structure of the gas-steam-electricity system of a steel enterprise includes production units such as blast furnaces, converters, and refining furnaces, energy media such as gas, steam, and electricity, and energy conversion and storage devices such as boilers, gas storage tanks, steam turbines (TB), combined heat and power (CHP) units, and waste heat recovery (CDQ) units. On this basis, the main modeling methods of the gas-steam-electricity coupled energy flow MILP model are as follows: Specifically, the objective function is to minimize the operating cost of the gas-steam-electricity coupling system under the condition of time-of-use electricity price. The specific calculation formula is as follows: min (1)

[0055] Where Y is the operating cost of the gas-steam-electricity coupling system, y coal represents the cost of purchasing coal, y ele represents the cost of purchasing electricity from the grid, y p1 represents the penalty cost of gas release, y p2 represents the penalty cost of the gas holder, y p3 represents the penalty cost of boiler burner switching, y p4 Indicates the additional penalty cost of switching 2 or 3 burners of a fuel boiler at the same time, y main represents the maintenance cost of each device in the gas-steam-electricity coupling system, y coal ,y ele , y p1 , y p2 , y p3 , y p4 , y main The calculation formulas are: (2)

[0056] (3)

[0057] (4)

[0058] (5)

[0059] (6)

[0060] (7)

[0061] (8)

[0062] in, t ( i=1,2,...,T ) represents a period of time; j ( j=1,2,...,J ) represents a steam turbine; k ( k=1,2,...,K ) represents a CHP unit; q ( q=1,2,...,Q ) indicates the type of fuel; i ( i=1,2,...,I ) represents a boiler; m ( m=1,2,…, M ) represents CDQ unit; C q represents the price of coal; V kqt represents the flow rate of type q fuel consumed by the cogeneration unit k in the time period t; Indicates the length of time; Cexp t and Cimp t Respectively represent the purchase and sale prices of electricity; f imp t Indicates the amount of electricity purchased from the grid in each period; f exp t Indicates the amount of electricity sold by the power grid in each period; Eem q represents the penalty coefficient for by-product gas emission; Qem qt represents the by-product gas emission of type q fuel gas storage tank in time period t; EL qand EH q Respectively q The penalty coefficient for the inventory level of the gas storage tank of the by-product gas is in the low operating area and the penalty coefficient for the inventory level of the by-product gas is in the high operating area; SInv and SqFt are two positive slack variables, which are used to indicate the deviation of the gas tank cabinet from the normal level; ESW q express q The penalty coefficient for the gas storage tank of the type byproduct gas deviating from the normal operating level; variable ibn 1 iqt , ibn 2 iqt and ibn 3 iqt Respectively indicate the situation of changing the status of 1, 2 and 3 burners; E2S q and E3S q Respectively indicate that the boiler switches simultaneously and q Penalty coefficients for two burners and three burners related to the by-product gas, Cm i Indicates the maintenance cost per ton of water passed by the boiler, CPM j , CPM k , CPM m Respectively represent the maintenance cost corresponding to each kilowatt-hour of electricity generated by the steam turbine, cogeneration unit, and waste heat recovery unit; represents the water flow rate of boiler i in time period t; Indicates the turbine in time period t j of power generation; Indicates that the CHP unit in time period t k of power generation; f mt Represents the power generation of CDQ unit in time period t.

[0063] The values ​​of the parameters in formulas (2)-(8) are determined by constraints. The specific constraints include steam-power system model constraints, gas, steam and power balance constraints, gas tank operation constraints, burner operation constraints, power generation ramp rate constraints, time period electricity price constraints and time period coal price constraints.

[0064] Specifically, the constraints reflect the relationship between various parameters within the steel under actual circumstances and the overall requirements of the production unit on the system.

[0065] In some possible implementation schemes, several constraints involved in the mathematical model of gas-steam-electricity coupled energy flow can be given according to the actual operation of the steel process: (1) Constraints of the steam-power system model: In a possible embodiment, the steam-electric power system model includes boilers, turbines, CHP units, and CDQ units.

[0066] Among them, the boiler can consume multiple fuels at the same time, such as gas and coal, and can produce different types of steam. The calculation model of the boiler is as follows: (9)

[0067] (10)

[0068] (11)

[0069] Among them, r (r=1,2,...,R) represents different levels of steam; S irt represents the flow rate of r-grade steam generated by boiler i in time period t; hs r represents the enthalpy of r-grade steam; Sw it represents the feed water flow rate of boiler i in time period t; represents boiler feed water enthalpy; V iqt represents the fuel feed flow rate supplied to boiler i during time period t; η i represents the thermal efficiency of boiler i; Indicates different types of gas; v q represents the calorific value of different fuels, h represents the enthalpy of steam, and vmin i represents the minimum calorific value required for the normal operation of boiler i. Formula (11) indicates that the total amount of steam generated by the boiler should be equal to its total feed water.

[0070] In a possible embodiment, the total amount of steam exported by the steam turbine in each period should be equal to the total amount of steam imported by the turbine, which can be expressed as; (12)

[0071] In a possible embodiment, the total amount of inlet steam of the steam turbine in each time period can be expressed as: (13)

[0072] In a possible embodiment, each time period t Steam Turbine j The power generation can be expressed as: (14)

[0074] in, Sj in and Sj out respectively represent the flow into and out of the turbine during time period t j Steam flow rate; S in jrt and S out jrtrepresent the flow into and out of the turbine during time period t j of r Grade steam flow rate; f j,t Indicates the turbine in time period t j of power generation; h c f It represents the enthalpy per kilowatt-hour.

[0075] Conventional CHP units in steel enterprises usually consist of fuel boilers, waste heat boilers, and steam turbines, using gas, coal, etc. as energy to produce electricity and steam. The calculation model of the CHP unit is as follows: (15)

[0076] (16)

[0077] Among them, f kt represents the power generation of CHP unit k in time period t, S krt represents the flow rate of r-level steam generated by CHP unit k in time period t; η k represents the efficiency of the k-type boiler; I k Represents the boiler in the combined heat and power unit; V iqt represents the fuel feed flow rate supplied to boiler i during time period t; η i represents the thermal efficiency of boiler i; hvmin k represents the minimum calorific value required by cogeneration unit k.

[0078] The CDQ unit recovers waste heat from steel production to produce steam and electricity.

[0079] (17)

[0080] in, m ( m=1,2,…,M ) represents the CDQ unit; f mt It represents the power generation of CDQ unit in time period t; S mrt Indicates the CDQ unit in period t r The production of steam at the stage; η m It represents the efficiency of CDQ unit; E in mt It represents the total waste heat recovered by the CDQ unit from the steel production process during time period t.

[0081] (2) Constraints on gas, steam and electricity balance: Specifically, the gas, steam and electricity balance system includes a power generation system, a steam system and a gas system. Correspondingly, the constraints of the gas, steam and electricity balance system include power generation system constraints, steam system constraints and gas system constraints.

[0082] The power generation system includes TB units, CHP units and CDQ units; the sum of the total power generation and the purchased power of the generator units must meet the power demand of the production link in each time period, and the power balance equation is: (18)

[0084] Since electricity purchase and electricity sales cannot occur at the same time, this constraint can be expressed as: (19)

[0085] Among them, in formulas (18) and (19), f dem t Indicates the power demand in each period; y imp P, t The variable is 0 or 1, indicating whether electricity is purchased; y exp P, t The variable is 0 or 1 to indicate whether electricity is sold.

[0086] The steam system includes boilers, CHP units and CDQ units; the steam balance equation is: (20)

[0088] in, S irt Indicates during the period t Internal boiler i Produced r Flow rate of graded steam; S krt represents the production of r-level steam of CHP unit k in time period t; S mrt Indicates that CDQ unit in time period t m of r The production of steam at the stage; S in jrt and S out jrt represent the flow into and out of the turbine during time period t j of r Grade steam flow rate; S dem rt express t Production link of time period r The demand for steam.

[0089] In the gas system, the inventory level of the gas holder at the end of period t is: (twenty one)

[0090] The gas storage position in the gas tank must be within the safe range, which can be expressed as: (twenty two)

[0091] Among them, in formula (21) and (22), inv qt Indicates that at the end of period t, the gas tank q The storage capacity of the type of gas; V gen qt Indicated in t The rate of gas generation during the period; Q Indicated in t Production process within a period of time u middle q The consumption rate of the type of gas; V iqt Indicates that the boiler is supplied during the period t i The fuel feed flow rate; Q emission Indicates the amount of gas released; inv min q , inv max q Respectively represent the minimum and maximum inventory levels of the gas tank.

[0092] (3) Gas tank operation constraints

[0093] As a buffer device, the gas holder can hold surplus gas or provide the gas required by the production process, thereby playing a buffering role. However, the gas storage volume needs to be within the safe operation area. Based on this, the gas holder operation constraints can be expressed as: (twenty three)

[0094] The high and low gas storage volumes in the safe operation area are expressed as Inv and Inv . SInv and HkDJ qt are two positive slack variables, which are used to indicate the deviation of the gas tank cabinet position from the normal level; inv qt Indicates that at the end of period t, the gas tank q The storage volume of different types of gas. Through optimization, the gas storage level of the gas tank can be controlled to reduce the operating costs of the energy system.

[0095] (4) Burner operation constraints

[0096] Industrial boilers in steel plants are usually equipped with multiple identical burners for introducing different types of coal gas. By controlling the opening and closing of the burners, the amount of coal gas entering can be adjusted. However, frequent opening and closing of the burners may lead to flashback or incomplete combustion of the fuel. Therefore, in order to maintain the stability of the boiler, the number of burner switches should be minimized. In actual operation, a maximum of three burners are allowed to change state in each period, and the total amount of gas entering the boiler in each period is: (twenty four); In the period t The number of burners that change state is: (25); in, V iqt Indicates during the period t Internal supply boiler i The fuel feed flow rate; V iq Indicates that a single burner supplies the boiler during time period t i The fuel feed flow rate; N iqt Indicates the number of burners currently on; variable ibn 1 iqt , ibn 2 iqt and ibn 3 iqt Respectively represent the situations of changing the states of 1, 2 and 3 burners.

[0097] (5) Constraints on the ramp rate of power generation: The power generation ramp rate constraint can be expressed as: (26); in, x ∈ j , k , m , j, k, m They are steam turbine, CHP unit and CDQ unit respectively; D R x , U R x Respectively represent the maximum and minimum power generation ramp rates of each unit.

[0098] In a possible embodiment, the time-of-use electricity price within 24 hours is shown in Table 1, where A>B>C.

[0099] Table 1

[0100] Based on the above embodiments, Figure 3 The output of S1 steam in different time periods is shown. The S1 steam required for production is mainly provided by B1 and B2, and the remaining demand is supplemented by B3 and B4 with larger capacity. The S1 steam generated by B3 and B4 is used to generate S2 and S3 steam and electricity required by the system through TB1 and TB2. Since the demand for steam in the main process production link is basically the same in different time periods, the output of S1 steam in different time periods does not change much, and the steam output of the boiler within 24 hours is relatively stable.

[0101] Figure 4 The output of S2 steam in different time periods is shown. S2 steam is generated by TB1, TB2, CHP1, CHP2 and CDQ2. After the energy system participates in the time-of-use electricity price, the coal consumption of the CHP unit decreases during the low electricity price period (23:00-08:00), and the energy system gives priority to purchasing electricity from the power grid to meet the electricity demand. In the standard electricity price and high electricity price periods, CHP1 adopts the opposite strategy. Therefore, the steam output of CHP1 changes with the time-of-use electricity price, increasing in the low electricity price period and decreasing in the high electricity price period. Given that the operating efficiency of CHP1 is lower than that of CHP2, the coal consumption of CHP1 should be adjusted according to the time-of-use electricity price. At the same time, in order to ensure the steam demand of the production process, the S2 steam production of TB1 and TB2 is adjusted according to the change of coal consumption of CHP1, while the S2 steam output of CHP2 remains unchanged at its output upper limit.

[0102] Figure 5 The steam output of S3 at different times is shown. Figure 5 It can be seen that the amount of S1 steam produced by the B3 and B4 boilers changes little within 24 hours, and the amount of S3 steam extracted by TB1 and TB2 is inversely proportional to the S2 steam. In addition, in order to meet the demand for steam in the production process, the output of S3 steam needs to be increased. Since the operating efficiency of CHP2 is higher than that of CHP1, the missing S3 steam is supplemented by CHP2. Therefore, the S3 steam production of turbines TB1 and TB2 increases when the electricity price is high and decreases when the electricity price is low.

[0103] In some possible implementations, assuming A=0.7188, B=0.4917, C=0.2796, Figure 6 It shows the power generation and power purchase in different time periods after the system is optimized and dispatched. Figure 6 It can be seen that the total self-generated electricity of the optimized energy system accounts for 64.4% of the total electricity consumption. In the case of time-of-use electricity prices, the energy system's electricity purchases during the low electricity price period (23:00-8:00) increased significantly, reaching 928.3MWh. At the same time, the energy system's coal consumption during the corresponding period decreased by 406.3 tons. Figure 7As shown. If the steel plant is regarded as a virtual power plant, when participating in the time-of-use electricity price, the power regulation capacity accounts for about 26.94% of the purchased power when not participating in the time-of-use electricity price. This shows that the system's participation in the time-of-use electricity price can tap the load regulation capacity of steel enterprises and improve the flexibility of their electricity consumption behavior.

[0104] Figure 8 The power purchase and coal consumption costs in different time periods after the system is optimized and dispatched are shown. After participating in the time-of-use electricity price, the coal consumption of the CHP unit is reduced at low electricity prices, and the coal consumption cost is also reduced accordingly. At the same time, the system's power purchase amount increases, but thanks to the low electricity price, the power purchase cost is also reduced accordingly. Overall, after considering the time-of-use electricity price, the total energy cost of the system is reduced by 2.24% within 24 hours.

[0105] It can be seen from the above embodiments that the present invention establishes a gas-steam-electricity system optimization scheduling model under the premise of considering the internal production constraints of steel, and proposes the optimal demand-side response strategy within the energy system under the influence of time-of-use electricity prices and coal prices. The energy system covers multiple energy forms such as electricity, heat, and gas, as well as multiple energy transmission and conversion devices such as boilers, steam turbines, CHP units, and CDQ units. Under the premise of ensuring the stability of energy supply and the safety of production, the distribution of gas and steam and the production scheduling of electricity are optimized to reduce the energy cost of system operation. The results show that after participating in the time-of-use electricity price, the CHP unit with higher operating efficiency plays a key role in the demand-side response regulation. During the low electricity price period, the total energy cost of the system was reduced by 2.24% by increasing the amount of electricity purchased and reducing coal consumption. In addition, when participating in the time-of-use electricity price, the power regulation range of the steel enterprise accounts for 26.94% of the power purchased when not participating in the time-of-use electricity price. This study reduces the total energy cost, improves the flexibility of demand-side response, and promotes its friendly interaction with the power grid by optimizing the distribution of secondary energy within the steel enterprise.

[0106] In some possible embodiments, a gas-steam-electricity coupling system energy distribution device is also provided, such as Fig. 9 As shown, the device comprises: An acquisition module 910 is used to acquire energy medium parameters of a target enterprise's gas-steam-electricity coupling system; A model building module 920 is used to build a gas-steam-electricity coupled energy flow MILP model based on the energy medium parameters and the time-of-use electricity price and coal price in different time periods; A determination module 930 is used to determine the objective function and constraint conditions of the gas-steam-electricity coupled energy flow MILP model according to actual application requirements; The solution module 940 is used to solve the gas-steam-electricity coupled energy flow MILP model based on the objective function and the constraint conditions to obtain solution results of the energy medium parameters.

[0107] It can be understood that the implementation principle and beneficial effects of the gas-steam-electricity coupling system energy distribution device provided in the embodiment of the present invention are similar to the implementation principle and beneficial effects of the gas-steam-electricity coupling system energy distribution method shown in the above embodiment. Please refer to the implementation principle and beneficial effects of the gas-steam-electricity coupling system energy distribution method shown in the above embodiment, and no further details will be given here.

[0108] Fig.10 An example of a physical structure diagram of an electronic device is shown in FIG. Fig.10 As shown, the electronic device may include: a processor 1010, a communication interface 1020, a memory 1030 and a communication bus 1040, wherein the processor 1010, the communication interface 1020 and the memory 1030 communicate with each other through the communication bus 1040. The processor 1010 may call the logic instructions in the memory 1030 to execute the energy allocation method of the gas-steam-electricity coupling system, the method comprising: obtaining the energy medium parameters of the gas-steam-electricity coupling system of the target enterprise; establishing a gas-steam-electricity coupling energy flow MILP model based on the energy medium parameters and the time-of-use electricity price and coal price in different time periods; determining the objective function and constraint conditions of the gas-steam-electricity coupling energy flow MILP model according to actual application requirements; solving the gas-steam-electricity coupling energy flow MILP model based on the objective function and the constraint conditions to obtain the solution results of each of the energy medium parameters.

[0109] In addition, the logic instructions in the above-mentioned memory 1030 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0110] On the other hand, the present invention also provides a computer program product, which includes a computer program, and the computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the gas-steam-electricity coupling system energy allocation method provided by the above-mentioned methods, and the method includes: obtaining the energy medium parameters of the gas-steam-electricity coupling system of the target enterprise; establishing a gas-steam-electricity coupling energy flow MILP model based on the energy medium parameters and the time-of-use electricity price and coal price in different time periods; determining the objective function and constraints of the gas-steam-electricity coupling energy flow MILP model according to actual application requirements; solving the gas-steam-electricity coupling energy flow MILP model based on the objective function and the constraints to obtain the solution results of each of the energy medium parameters.

[0111] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the energy allocation method for the gas-steam-electricity coupling system provided by the above-mentioned methods, the method comprising: obtaining the energy medium parameters of the gas-steam-electricity coupling system of the target enterprise; establishing a gas-steam-electricity coupling energy flow MILP model based on the energy medium parameters and the time-of-use electricity price and coal price in different time periods; determining the objective function and constraints of the gas-steam-electricity coupling energy flow MILP model according to actual application requirements; solving the gas-steam-electricity coupling energy flow MILP model based on the objective function and the constraints to obtain the solution results of each of the energy medium parameters.

[0112] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0113] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0114] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for distributing energy in a gas-steam-electricity coupling system, characterized in that: include: Obtain the energy medium parameters of the target enterprise's gas-steam-electricity coupling system; Based on the energy medium parameters and the time-of-use electricity price and coal price in different time periods, a gas-steam-electricity coupled energy flow MILP model is established; According to actual application requirements, determine the objective function and constraint conditions of the gas-steam-electricity coupled energy flow MILP model; Based on the objective function and the constraint conditions, the gas-steam-electricity coupled energy flow MILP model is solved to obtain solution results of the energy medium parameters.

2. The method for distributing energy in a gas-steam-electricity coupling system according to claim 1, characterized in that: The energy medium parameters include at least: relevant parameters of energy medium blast furnace gas BFG, coke oven gas COG, converter gas LDG, steam, electricity and coal.

3. The method for distributing energy in a gas-steam-electricity coupling system according to claim 2, characterized in that: The objective function is the minimum operating cost of the gas-steam-electricity coupling system under the time-of-use electricity price condition, specifically: min Where Y is the operating cost of the gas-steam-electricity coupling system, y coal represents the cost of purchasing coal, y ele represents the cost of purchasing electricity from the grid, y p1 represents the penalty cost of gas release, y p2 represents the penalty cost of the gas holder, y p3 represents the penalty cost of boiler burner switching, y p4 Indicates the additional penalty cost of switching 2 or 3 burners of a fuel boiler at the same time, y main represents the maintenance cost of each device in the gas-steam-electricity coupling system, y coal , y ele , y p1 , y p2 , y p3 , y p4 , y main The calculation formulas are: ； ； ； ； ； ； ； in, t ( i=1,2,...,T ) represents a period of time; j ( j=1,2,...,J ) represents a steam turbine; k ( k=1,2,...,K ) represents the CHP unit; q ( q=1,2,...,Q ) indicates the type of fuel; i ( i=1,2,...,I ) represents a boiler; m ( m=1,2,…, M ) represents CDQ unit; C q represents the price of coal; V kqt represents the flow rate of type q fuel consumed by the cogeneration unit k in the time period t; Indicates the length of time; Cexp t and Cimp t Respectively represent the purchase and sale prices of electricity; f imp t Indicates the amount of electricity purchased from the grid in each period; f exp t Indicates the amount of electricity sold by the power grid in each period; Eem q represents the penalty coefficient for by-product gas emission; Qem qt represents the by-product gas emission of type q fuel gas storage tank in time period t; EL q and EH q Respectively q The penalty coefficient for the inventory level of the gas storage tank of the by-product gas is in the low operating area and the penalty coefficient for the inventory level of the by-product gas is in the high operating area; SInv and SqFt are two positive slack variables, which are used to indicate the deviation of the gas tank cabinet from the normal level; ESW q express q The penalty coefficient for the gas storage tank of the type byproduct gas deviating from the normal operating level; variable ibn 1 iqt , ibn 2 iqt and ibn 3 iqt Respectively indicate the situation of changing the status of 1, 2 and 3 burners; E2S q and E3S q Respectively indicate that the boiler switches simultaneously and q Penalty coefficients for two burners and three burners related to the by-product gas, Cm i Indicates the maintenance cost per ton of water passed by the boiler, CPM j , CPM k , CPM m Respectively represent the maintenance cost corresponding to each kilowatt-hour of electricity generated by the steam turbine, cogeneration unit, and waste heat recovery unit; represents the water flow rate of boiler i in time period t; Indicates the turbine in time period t j of power generation; Indicates that the CHP unit in time period t k of power generation; f mt Represents the power generation of CDQ unit in time period t.

4. The method for distributing energy in a gas-steam-electricity coupling system according to claim 3, characterized in that: The constraints include steam-electricity system model constraints, gas, steam and electricity balance constraints, gas tank operation constraints, burner operation constraints, power generation ramp rate constraints, time period electricity price constraints and time period coal price constraints.

5. The method for distributing energy in a gas-steam-electricity coupling system according to claim 4, characterized in that: The steam-electric system model includes a boiler, a steam turbine, a CHP unit and a CDQ unit; Correspondingly, the constraints of the steam-electric system model include: Boiler constraints: ； ； ； in, r ( r=1,2,...,R ) represent different grades of steam; S irt Indicates during the period t Internal boiler i Produced r Flow rate of graded steam; hs r It represents the enthalpy of r-grade water vapor; Sw it Indicates during the period t Internal boiler i The water flow rate; represents the boiler feed water enthalpy; V iqt Indicates that the boiler is supplied during the period t i The fuel feed flow rate; η i Indicates boiler i Thermal efficiency; Indicates different types of gas; v q Indicates the calorific value of different fuels, h is the enthalpy of steam, v min i Indicates boiler i The minimum heating value required for normal operation; Steam turbine constraints: ； ； in, Sj in and Sj out respectively represent the flow into and out of the turbine during time period t j Steam flow rate; S in jrt and S out jrt represent the flow into and out of the turbine during time period t j of r Grade steam flow rate; f j,t Indicates the turbine in time period t j of power generation; h c f It represents the enthalpy per kilowatt-hour; Constraints of CHP unit: ； ； in, f kt Indicates that the CHP unit in time period t k of power generation, S krt Indicates that the CHP unit in time period t k Produced r The flow rate of steam at the stage; η k represents the efficiency of the k-type boiler; I k Represents the boiler in a combined heat and power unit; V iqt Indicates that the boiler is supplied during the period t i The fuel feed flow rate; η i Indicates boiler i Thermal efficiency; hv min k represents the minimum calorific value required for the combined heat and power unit k; Constraints of CDQ unit: ； in, m ( m=1,2,…,M ) represents the CDQ unit; f mt It represents the power generation of CDQ unit in time period t; S mrt Indicates the CDQ unit in period t r The production of steam at the stage; η m It represents the efficiency of CDQ unit; E in mt It represents the total waste heat recovered by the CDQ unit from the steel production process during time period t.

6. The method for distributing energy in a gas-steam-electricity coupling system according to claim 4, characterized in that: The gas, steam and electricity balance system includes a power generation system, a steam system and a gas system; The gas, steam and electricity balance system constraints include: Power generation system constraints: in, f dem t Indicates the power demand in each period; y imp P, t The variable is 0 or 1, indicating whether electricity is purchased; y expP, t The variable is 0 or 1 to indicate whether electricity is sold; Steam system constraints: in, S irt Indicates during the period t Internal boiler i Produced r Flow rate of graded steam; S krt represents the production of r-level steam of CHP unit k in time period t; S mrt Indicates that CDQ unit in time period t m of r The production of steam at the stage; S in jrt and S out jrt represent the flow into and out of the turbine during time period t j of r Grade steam flow rate; S dem rt express t Production link of time period r The demand for steam of the first stage; Gas system constraints: in, inv qt Indicates that at the end of period t, the gas tank q The storage capacity of the type of gas; V gen qt Indicated in t The rate of gas generation during the period; Q Indicated in t Production process within a period of time u middle q The consumption rate of the type of gas; V iqt Indicates that the boiler is supplied during the period t i The fuel feed flow rate; Q emission Indicates the amount of gas released; inv min q , inv max q Respectively represent the minimum and maximum inventory levels of the gas tank.

7. The method for distributing energy in a gas-steam-electricity coupling system according to claim 4, characterized in that: The gas holder operation constraints include: in, inv qt Indicates that at the end of period t, the gas tank q The storage capacity of the type of gas; Inv and Inv Respectively represent the high and low gas storage capacity in the safe operation area; SInv and SqFt are two positive slack variables used to represent the deviation of the gas tank cabinet position from the normal level.

8. The method for distributing energy in a gas-steam-electricity coupling system according to claim 4, characterized in that: The burner operation constraints include: A maximum of three burners are allowed to change state in each period, and the total amount of gas entering the boiler in each period is: in, V iqt Indicates during the period t Internal supply boiler i The fuel feed flow rate; V iq Indicates that a single burner supplies the boiler during time period t i The fuel feed flow rate; N iqt Indicates the number of burners currently in the on state; In the period t The number of burners that change state is: Among them, Δ N iqt Indicates the number of burners that are currently changing state.

9. The method for distributing energy in a gas-steam-electricity coupling system according to claim 4, characterized in that: The power generation ramp rate constraint conditions include: in, x ∈ j , k , m , j, k, m They are steam turbine, CHP unit and CDQ unit respectively; D R x , U R x Respectively represent the maximum and minimum power generation ramp rates of each unit.

10. A gas-steam-electricity coupling system energy distribution device, characterized in that: include: An acquisition module is used to obtain energy medium parameters of the target enterprise's gas-steam-electricity coupling system; A model building module, used to build a gas-steam-electricity coupled energy flow MILP model based on the energy medium parameters and time-of-use electricity prices and coal prices in different time periods; A determination module, used to determine the objective function and constraint conditions of the gas-steam-electricity coupled energy flow MILP model according to actual application requirements; A solution module is used to solve the gas-steam-electricity coupled energy flow MILP model based on the objective function and the constraint conditions to obtain solution results of each energy medium parameter.

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