CN109598045A - The multiple-energy-source medium complex optimum mixing system that iron and steel enterprise is emulated based on the energy - Google Patents
The multiple-energy-source medium complex optimum mixing system that iron and steel enterprise is emulated based on the energy Download PDFInfo
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Abstract
The multiple-energy-source medium complex optimum mixing system that iron and steel enterprise is emulated based on the energy, it include: emulation configuration module, parameter configuration module, operating condition recording module, plan read module, simulation optimization module, simulation analysis module, six modules operate on simulation computer, the parameter and work information that module is related to are maintained in relational database, the relational database software operates on database server, passes through local area network link between simulation computer and database server.Advantage is to propose the steel and iron industry multiple-energy-source medium complex optimum allotment strategy based on the emulation of energy stream network dynamic from steel manufacturing procces material stream energy stream coupling characteristics, and constructs emulation platform.This emulation platform has fully considered the coupled characteristic of material stream, energy stream, more realistic demand.
Description
Technical field
The invention belongs to iron and steel enterprise's energy source optimization technical fields, and it is imitative based on the energy in particular, provide a kind of iron and steel enterprise
Genuine multiple-energy-source medium complex optimum mixing system, is deployed for complex optimum between the multimedium of steel industry.
Background technique
Steel and iron industry is energy intensive industry, and China's steel and iron industry energy consumption accounts for about the 16% of national industrial total energy consumption, mesh
The energy consumption per ton steel of preceding Iron and Steel Enterprises in China is still higher by 10% or so than advanced international standard country.In face of the severe shape of energy-saving and emission-reduction
Gesture, steel and iron industry are needed through greenization, intelligent realization sustainable development.Energy source optimization allotment is iron and steel enterprise's energy saving of system
One of key technology.Energy matter matching may be implemented by energy source optimization allotment, improve the utilization rate of the energy, reduce secondary energy sources
Release reduces energy cost under the premise of meeting production to energy quality and quantitative requirement.
The characteristics of steel and iron industry energy resource system, proposes challenge to energy source dispensing technology.Firstly, iron and steel enterprise's energy medium
It is many kinds of, including nearly 30 kinds of coal, coke, coal gas, electric power, steam, technical gas, compressed air, water etc., secondly, various energy
Source medium couples closely with Steel Production Flow Chart, many secondary energy sources media directly result from steel manufacture process byproduct or
Residual heat and energy recycles, such as blast furnace gas, coke-stove gas, coal gas of converter, various Steam Recoveries, CDQ power generation and TRT power generation
Deng.In addition, the generation of various energy mediums, conversion, storage, conveying and distribution are realized using by energy pipe network, constitute multiple
The miscellaneous energy flow network mutually restricted.The research of iron and steel enterprise's energy source optimization allotment problem is divided into terms of two: first,
Research is deployed in the optimization of Single Medium, and the optimization allotment of steel and iron industry Single Medium cannot consider the generation of various energy mediums, turn
Incidence relation between changing, it is difficult to obtain the effect of various energy medium complex optimum；Second, research is deployed in the optimization of multimedium,
Many scholars do not fully consider steel and iron industry energy resource system and steel production are when establishing multimedium optimization allotment model
System couples close feature, in fact, production system kind, yield, the difference of equipment state and processing route, energy resource system are each
Generation, conversion, distribution and the use demand difference of medium, can all lead to equilibrium relation, the optimization binding side of various energy mediums
Boundary's condition changes, and effect of optimization is made to have a greatly reduced quality.The present invention goes out from steel manufacturing procces material stream energy stream coupling characteristics
Hair proposes the steel and iron industry multiple-energy-source medium complex optimum allotment strategy based on the emulation of energy stream network dynamic.It is primarily based on
The energy flow model of main production process divides medium energy stream network model to establish the integrated energy of iron and steel enterprise's material stream energy stream
Flow network model, sufficiently characterization material stream, energy stream intercouple and influence each other, then by input current production plan,
The information such as processing route, equipment operation condition carry out steel and iron manufacturing Whole Process Simulation, to identify, adjust production system to energy system
The time-dependent demand of system forms the optimization restrained boundary condition of more time cycle dynamic changes, finally for different production scenes into
Row Optimization Solution provides corresponding multiple-energy-source medium dynamic optimization allotment strategy.
Summary of the invention
The purpose of the present invention is to provide the multiple-energy-source medium complex optimum allotments that a kind of iron and steel enterprise is emulated based on the energy
System, for the multimedium synthesis optimizing and scheduling of steel industry, for iron and steel enterprise energy scheduling personnel provide a set of plan,
The tool that Scene Simulation, scheme comparison analyze.
The present invention include: emulation configuration module, parameter configuration module, operating condition recording module, plan read module, emulation it is excellent
Change module, simulation analysis module, six modules operate on simulation computer, and the parameter and work information that module is related to are protected
There are in relational database, the relational database software is operated on database server, simulation computer and database
Pass through local area network link between server.This system functional structure chart is as shown in Figure 1.
The emulation configuration module, including monostatic configuration and energy stream network configuration.Monostatic configuration needs to configure each
The level of energy medium generation, consumable unit and unit belongs to situation；Energy stream network configuration, which needs to configure each medium, can flow feelings
Condition is related to source (i.e. the energy generates unit or processing converting unit), medium, target, description, data point information.As shown in Figure 4
For gas medium energy stream schematic network structure.
The parameter configuration module, comprising: the configuration of signature coefficient, cached configuration, fuel constraint, capacity of equipment constraint,
Medium priority configuration, decay coefficient configuration.The configuration of signature coefficient mainly configures every kind of energy medium signature coefficient；Caching is matched
It sets, for configuring each cache unit memory capacity bound and real time capacity reading matter label；Fuel constraint configuration, disappears for configuring
Consume the proportional region and default value of the various fuel of equipment such as boiler, power station of fuel combination etc.；
Capacity of equipment constraint, for configure for example each model power station of each energy device output capacity and efficiency power generation capacity,
Generating efficiency and boiler efficiency, the capacity and efficiency of various boiler plants, the overall efficiency of dry coke quenching generating equipment (CDQ).It is situated between
Elder generation's grade configuration of fine quality, is deployed priority for collocating medium, is characterized with digital quantity, the bigger priority of number is about high；Consumable
Coefficient configuration, for configuring consumable ratio and range of each energy device relative to itself the output energy.
On the one hand the operating condition recording module carries out the hand of state to the equipment that can not obtain device status information online
On the other hand work typing pre-records to interim unplanned property equipment downtime state offer.The information of typing includes device name, event
Type, event description, time started, end time.
The plan read module, on the one hand for reading production plan and maintenance plan from ERP system.On the other hand
For the production plan and maintenance plan that can not be read online, manual input function is provided, to guarantee the integrality of plan.
The simulation optimization module, the multiple-energy-source medium complex optimum allotment process based on energy emulation are as shown in Figure 2.
Flow process path and process unit are determined according to production plan first, production plan and maintenance project is generated, calls main production
Process energy flow model calculates the various energy medium consumptions of production process and yield and each energy medium of production process is net
Demand forms main production process homeostasis energy constraint condition accordingly；Then calling divides medium energy flow model to carry out the energy
System media conversion calculates, and the media demand such as technical gas, compressed air, water, hydrogen is converted into for coal gas, steam and electricity
Power demand forms energy medium and converts dynamic equilibrium constraint condition；It calls simultaneously and divides medium energy stream network model, according to the energy
Equipment opens/stops mark and energy medium pipe network balance model produces energy device production capacity dynamic constrained condition.Summarize above-mentioned emulation
Information generates objective function and constraint condition, carries out coal gas-steam-electric power dynamic adaptation optimization, so obtain technical gas,
Compressed air, water, hydrogen, coal gas, steam and electric power divide medium programs.Simulation optimization module is related to main production process energy
Amount flow model divides medium energy flow model, energy stream network integrated model, simulation optimization model.
(1) main production process energy flow model: modeling scheme as shown in figure 3, the present invention propose it is a kind of based on Static implicit method,
The modeling scheme of dynamic factor and the energy itself fluctuation pattern.Base of the fluctuation of iron and steel enterprise's energy medium in itself fluctuation pattern
It is influenced again by Static implicit method, dynamic factor on plinth.Production technology determines the fluctuation pattern (period, aperiodic) of its own,
Static implicit method (material, product, process conditions etc.) determines the fluctuating level of energy medium generation or consumption, dynamic factor
(working condition) determines its fluctuation tendency.Therefore production unit nodal analysis method should produce reality from steel technique, be based on
Static implicit method (material, product and process conditions), dynamic factor (scheduled overhaul, non-programmed halt) and energy fluctuation pattern itself
(period, aperiodic) establishes energy input and output dynamic model.Model is described as follows:
WhereinIndicate the fluctuating level of the medium i of equipment j generation or consumption under normal condition, x1,x2,…xnIndicate shadow
It ringsThe changed static state factor；Indicate the different operating conditions of the medium i of equipment j generation or digestion when abnormal condition S
Under fluctuating level, gtIt is the detection signal that can identify the generation of t-th of operating condition, detection signal is converted into 0,1 status signal s
(gt), know the state change of equipment in real time, under different work condition states, different fluctuation tendencies is presented in the energy, then needs to be directed to
Specific operating condition establishes corresponding model f (gs), it is horizontal to calculate energy wave motion input output pulsation under specific operation.Actually answer
Used time, by the accumulation of history similar operating condition, under statistics available difference work condition state, the fluctuating level of energy medium, when without similar
When operating condition, then on the basis of artificial experience entry values.
(2) medium energy stream network model: medium energy flow network includes beginning node, midpoint buffering and connector, end
End node medium energy flow network due to production demand pull act on, energy medium by pipe network connector endlessly from
Beginning node flows to terminal node through intermediate caching devices, meets production needs.Medium energy stream schematic network structure such as Fig. 4
Shown, dividing medium energy stream network model is situated between from combustion gas, steam, electricity, technical gas (oxygen argon nitrogen), compressed air and water etc. point
Matter pipe network angle, by consumption, recycling and the energy resource system of main production process point energy medium divide the generation of energy medium, storage,
Conversion distribution connects, and foundation divides medium pipe network mathematical model.The description of energy pipe network topological structure utilizes the oriented of graph theory
Primitive reason, by incidence matrix (branch matrix, even branch matrix) and fundamental circuit matrix by pipe network figure (dendritic net and ring network
Mixing) information data, and it is associated with energy source node.Energy pipe network fundamental equation.According to some substantially fixed of fluid network
Rule, such as mass conservation law, law of conservation of energy, resistance law, determines continuity equation, energy equation and pressure drop equation, and
The pipeline section coefficient of friction resistance is recognized.
(3) energy stream network integrated model: main production process energy flow model and divide medium energy stream network model
On the basis of, iron and steel enterprise's energy stream network integrated model is established, by the calculated result of the energy flow model of main production process and is divided
Medium energy stream network model calculated result links up, as figure 5 illustrates.Terminal of the main production process as medium energy flow network
Node obtains required various energy mediums from energy pipe network, generates major product, byproduct, while recycling energy medium, returns
The energy medium of receipts is used as the beginning node of medium energy flow network again.Medium energy stream network model beginning node is in addition to recycling
It include self-produced and Exogenous factor outside the energy, intermediate link includes that storage, conversion distribution and connection medium pipe network, terminal node include
Main product user, production of energy unit users, public auxiliary and small user, the extra energy are diffused or are sent outside.Wherein production of energy unit
Role is different in different medium energy flow networks, and beginning section is on the one hand used as in the output medium energy flow network of itself
Point is produced from production capacity source, on the other hand because energy unit also consumes the energy, in the energy flow network of other media,
As terminal node, the energy is consumed.
It is as follows that medium integrates transformation model:
WhereinIndicate the medium m of energy production installations g consumption,Indicate the medium that energy production installations g is generated
n,Indicate the conversion coefficient of medium m and medium n, Hn,planIndicate that medium n demand turns plan coefficient,Equal to production list
Requirement of first i to medium nRequirement of other energy units j to medium nAnd public affairs additionally arrange standby k to medium n requirementSummation turns plan coefficient multiplied by demand, and the demand that refers in formula turns plan coefficient, is preferential because being deployed according to medium
Grade (as shown in Figure 6) can only calculate priority medium lower than it when calculating consumption of other energy units to this medium
Consumption of the production unit to this medium, and demand of the production unit of the higher medium of subsequent priority to this medium is had ignored, root
According to subsequent medium history consumption, calculates this demand and turn plan coefficient.
(4) simulation optimization model: simulation optimization model includes optimization aim and constraint.
Optimization aim specifically includes: consumption fuel cost, equipment operation maintenance expense, the outsourcing electricity charge are used, diffuse punishment expense
With with outer power supply income.
In formula, NgIndicate the type of by-product gas；, NbIndicate the number of steam boiler；CgThe price of g kind by-product gas,
Member/m3；CCoalIndicate the price of outsourcing coal, member/t；CM,iIndicate boiler operation and maintenance cost (including workers' pay, depreciation,
The other fees such as price for repairing), member/t；；And expressionG gas consumption amount m of i-th boiler in t moment3/
T, outsourcing consumption of coal amount t/h and steam production t/h；Indicate the generated output in t moment of generating equipment j, KW；CM,jTable
Show the operation and maintenance cost of generating equipment j, member/KWh； Pw,tIndicate the outer net output power of t-th of period, kW；xtIndicate outer
Power supply state of the net in the t period, Cb,tIndicate the outsourcing electricity price of t-th of period, member/kWh；Cs,tIndicate the online of t-th of period
Electricity price, member/kWh；
Constraint condition is as follows:
(1) steam electric demand Constraints of Equilibrium
Iron and steel enterprise is different in demand of the different periods to steam and electric power, and must satisfy in each period system
Balanced supply and demand of energy；
In formula,Indicate generating equipment j in the generated output of t period；PD,tIndicate power consumer in the total electricity of t moment
Demand；Indicate steam boiler equipment i in the steam production (t/h) of t period；and Respectively indicate vapour
Turbine j is in t period steam consumption and steam extraction amount；In total steam demand of t moment；
(2) steam boiler energy balance model
In formula,Indicate the efficiency of i-th steam boiler, HCoalIndicate the calorific value of outsourcing thermal coal, KJ/t；HgIndicate secondary
The calorific value of producing coal gas g, KJ/m3；Indicate the enthalpy of steam boiler equipment i institute producing steam, KJ/t.；Indicate steam boiler
The enthalpy of equipment i water supply, KJ/t；
(3) residual heat and energy recycles generating equipment CDQ energy balance model
In formula,Indicate the efficiency of m platform residual heat and energy generating equipment, Rm,tWithRespectively indicate residual heat and energy power generation
The yield of waste heat and r grade steam that equipment m is recycled in t moment；
(4) the cogeneration of heat and power CHP plant capacity balance model of by-product gas is utilized
In formula, ηkIndicate the efficiency of kth platform cogeneration plant,Spontaneous electric equipment k is respectively indicated in the t period
R grade steam yield and generated output；
(5) capacity of equipment constrains
Steam boiler steam production ability
The constraint of steam turbine throttle flow
Extracted steam from turbine ability
The constraint of generating equipment active power output
(6) direct sending constrains
It is required according to the direct sending of pipe network, t moment, the direct sending requirement of steam medium B, the yield total more than or equal to direct sending unit
(7) fuel constrains in generating set pot
The upper and lower limits that generating set gas fired-boiler uses gas volume
For certain various kinds of coal gas multi-fuel fired boilers, the coal gas used not only requires amount, and also has to its matter
It is required that usually requiring that the mixed thermal value of various kinds of coal gas is greater than minimum requirements；
In formula, βiMinimum requirements of i-th generator to mixed gas calorific value, KJ/kg,
(8) rich gas supply constraint
In each period within entire dispatching cycle, the use total amount of by-product gas is less than or is equal to the period coal
Gas supplies the upper limit；
In formula,For jth kind coal gas the supply of t moment the upper limit.Equal to the storage of initial and end of term cabinet position
The difference of amount subtracts the surplus after master operation digestion amount along with yieldI.e. residual gas can be measured；
(9) generator Climing constant
In formula, URiFor the binding occurrence that generator i moment raises, i.e. generator can increase maximum power within a period；
DRiFor the binding occurrence that generator i moment lowers, i.e. the maximum power that can reduce within a period of generator.
On the one hand the simulation analysis module occurs, various Jie of consumable unit from every kind of energy of the angle analysis of unit
Generation, consumption, aequum and the production consumption accounting and process energy consumption index of matter.On the other hand each energy is analyzed from medium angle to be situated between
Matter equilibrium tendency and generation are consumed, are sent outside, losing, diffusing situation.
The present invention has the advantages that the present invention is proposed from steel manufacturing procces material stream energy stream coupling characteristics
Steel and iron industry multiple-energy-source medium complex optimum based on the emulation of energy stream network dynamic deploys strategy, and constructs emulation platform.
It is primarily based on the energy flow model of main production process, medium energy stream network model is divided to establish iron and steel enterprise's material stream energy adfluxion
At energy stream network model, sufficiently characterization material stream, energy stream intercouple and influence each other, and then works as previous existence by input
The information such as the plan of production, processing route, equipment operation condition carry out steel and iron manufacturing Whole Process Simulation, to identify, adjust production system
To the time-dependent demand of energy resource system, the optimization restrained boundary condition of more time cycle dynamic changes is formed, is finally directed to different lifes
It produces scene to optimize, provides corresponding multiple-energy-source medium dynamic optimization allotment strategy.This emulation platform fully considers
The coupled characteristic of material stream, energy stream, more realistic demand.
Detailed description of the invention
Fig. 1 is systematic functional structrue figure.
Fig. 2 is the Optimum Regulation flow chart based on emulation.
Fig. 3 is main process Modelon Modeling conceptual scheme.
Fig. 4 is medium energy stream network diagram.
Fig. 5 is energy stream network integrated model figure.
Fig. 6 priority dependence graph between medium.
Specific embodiment
The present invention include: emulation configuration module, parameter configuration module, operating condition recording module, plan read module, emulation it is excellent
Change module, simulation analysis module, six modules operate on simulation computer, and the parameter and work information that module is related to are protected
There are in relational database, the relational database software is operated on database server, simulation computer and database
Pass through local area network link between server.This system functional structure chart is as shown in Figure 1.
1, as shown in Figure 1, starting visual simulating modeling tool, carries out emulation configuration first, simulation unit and energy are configured
Flow network structure is measured, then by parameter configuration module, carries out the configuration of signature coefficient, cached configuration, fuel constraint, capacity of equipment
Constraint, medium priority configuration, decay coefficient configuration provide basic data for simulation optimization model, then obtain mould by plan
Block determines flow process path and process unit, generates production plan and maintenance project, by operating condition recording module, improves and works as
Preceding initial work information.
2, it is based on Optimum Regulation flow chart shown in Fig. 2, starts simulation run program, starts to carry out simulation calculating.First
Call the various energy medium consumptions of main production process energy flow model calculating production process and yield and production process each
Energy medium net demand forms main production process homeostasis energy constraint condition accordingly；Then it calls and divides medium energy stream mould
Type carries out the calculating of energy resource system medium reverts, and the media demand such as technical gas, compressed air, water, hydrogen is converted into for coal
Gas, steam and electricity needs form energy medium and convert dynamic equilibrium constraint condition；It calls simultaneously and divides medium energy flow network mould
Type opens/stops mark according to energy device and energy medium pipe network balance model produces energy device production capacity dynamic constrained condition.It converges
Total above-mentioned artificial intelligence, generates objective function and constraint condition, carries out coal gas-steam-electric power dynamic adaptation optimization, and then obtain
Divide medium programs to technical gas, compressed air, water, hydrogen, coal gas, steam and electric power.
3, based on emulation regulation and control scheme, simulation analysis can be carried out, by modifying simulated conditions, can be analyzed under different situations
Simulation Strategy provides help for enterprise intelligent decision.
Claims (9)
1. the multiple-energy-source medium complex optimum mixing system that a kind of iron and steel enterprise is emulated based on the energy characterized by comprising imitative
True configuration module, parameter configuration module, operating condition recording module, plan read module, simulation optimization module, simulation analysis module,
Six modules operate on simulation computer, and the parameter and work information that module is related to are maintained in relational database, institute
The relational database stated operates on database server, passes through local network chain between simulation computer and database server
It connects；
The simulation optimization module, the multiple-energy-source medium complex optimum based on energy emulation deploys process, first according to production
Plan to determine flow process path and process unit, generates production plan and maintenance project, call main production process energy stream mould
Type calculates the various energy medium consumptions of production process and yield and each energy medium net demand of production process, accordingly shape
At main production process homeostasis energy constraint condition；Then calling divides medium energy flow model to carry out energy resource system medium reverts
It calculates, the media demand such as technical gas, compressed air, water, hydrogen is converted into forming coal gas, steam and electricity needs
Energy medium converts dynamic equilibrium constraint condition；It calls simultaneously and divides medium energy stream network model, open/stop according to energy device and mark
Know and energy medium pipe network balance model produces energy device production capacity dynamic constrained condition；Summarize above-mentioned artificial intelligence, generates mesh
Scalar functions and constraint condition carry out the optimization of coal gas-steam-electric power dynamic adaptation, so obtain technical gas, compressed air, water,
Hydrogen, coal gas, steam and electric power divide medium programs；Simulation optimization module is related to main production process energy flow model, divides
Medium energy flow model, energy stream network integrated model, simulation optimization model.
2. optimization mixing system according to claim 1, which is characterized in that the emulation configuration module, including unit
Configuration and energy stream network configuration；Monostatic configuration, the level for needing to configure each energy medium generation, consumable unit and unit are returned
Belong to situation；Energy stream network configuration, which needs to configure each medium, can flow situation, be related to source (i.e. energy generating unit or process change
Unit), medium, target, description, data point information.
3. optimization mixing system according to claim 1, which is characterized in that parameter configuration module, comprising: signature coefficient is matched
It sets, the constraint of cached configuration, fuel, capacity of equipment constraint, medium priority configuration, decay coefficient configuration；The configuration of signature coefficient, matches
Set every kind of energy medium signature coefficient；Cached configuration is read for configuring each cache unit memory capacity bound and real time capacity
Object label；Fuel constraint configuration, the ratio model of the various fuel of equipment such as boiler, power station for configuring consumption fuel combination etc.
It encloses and default value；Capacity of equipment constraint, the power generation for configuring for example each model power station of each energy device output capacity and efficiency are held
Amount, generating efficiency and boiler efficiency, the capacity and efficiency of various boiler plants, the overall efficiency of dry coke quenching generating equipment CDQ；It is situated between
Elder generation's grade configuration of fine quality, is deployed priority for collocating medium, is characterized with digital quantity, number is bigger, and priority is higher；Consumable
Coefficient configuration, for configuring consumable ratio and range of each energy device relative to itself the output energy.
4. optimization mixing system according to claim 1, which is characterized in that the operating condition recording module is on the one hand right
The equipment that device status information can not be obtained online carries out the manual typing of state, on the other hand stops to interim unplanned property equipment
The offer of machine state is pre-recorded；The information of typing includes device name, event type, event description, time started, end time.
5. optimization mixing system according to claim 1, which is characterized in that on the one hand the plan read module is used
In reading production plan and maintenance plan, the on the other hand life for that can not read online from ERP (Enterprise Resources Plan) system
Plan and maintenance plan are produced, manual input function is provided, to guarantee the integrality of plan.
6. optimization mixing system according to claim 1, which is characterized in that main production process energy flow model modeling scheme
It is proposed a kind of modeling scheme based on itself fluctuation pattern of Static implicit method, dynamic factor and the energy；Iron and steel enterprise's energy medium
Fluctuation is influenced by Static implicit method, dynamic factor again on the basis of itself fluctuation pattern；Production technology determines its own
Fluctuation pattern, Static implicit method (material, product, process conditions) determine the fluctuating level of energy medium generation or consumption, move
State factor working condition determines its fluctuation tendency；Production unit nodal analysis method should produce reality from steel technique, be based on
Static implicit method (material, product and process conditions), dynamic factor (scheduled overhaul, non-programmed halt) and energy fluctuation pattern itself
(period, aperiodic), establish energy input and output dynamic model.Model is described as follows:
WhereinIndicate the fluctuating level of the medium i of equipment j generation or consumption under normal condition, x1,x2,…xnIt indicates to influence
The changed static state factor；Indicate wave when abnormal condition S under the different operating conditions of the medium i of equipment j generation or digestion
Dynamic level, gtIt is the detection signal that can identify the generation of t-th of operating condition, detection signal is converted into 0,1 status signal s (gt), in real time
Know the state change of equipment, under different work condition states, different fluctuation tendencies is presented in the energy, then is needed for specific work
Condition establishes corresponding model f (gs), it is horizontal to calculate energy wave motion input output pulsation under specific operation；When practical application, pass through
The accumulation of history similar operating condition can count under different work condition states, the fluctuating level of energy medium, when no similar operating condition, then
On the basis of artificial experience entry values.
7. system according to claim 1, which is characterized in that medium energy flow network includes beginning node, midpoint buffering
With connector, terminal node medium energy flow network due to production demand pull act on, energy medium pass through pipe network connector
Terminal node endlessly is flowed to from beginning node through intermediate caching devices, meets production needs；Divide medium energy flow network
Model is to divide medium pipe network angle from combustion gas, steam, electricity, technical gas, compressed air and water, divides main production process to the energy
Consumption, recycling and the generation of energy resource system point energy medium, storage, the conversion distribution of medium connect, and foundation divides medium tube
Net mathematical model；The description of energy pipe network topological structure utilizes the digraph principle of graph theory, passes through incidence matrix: branch matrix,
Even branch matrix and fundamental circuit matrix are by pipe network figure: dendritic net is mixed with ring network, information data, and with energy source node
It is associated；Energy pipe network fundamental equation；According to mass conservation law, law of conservation of energy, resistance law, continuity side is determined
Journey, energy equation and pressure drop equation, and the pipeline section coefficient of friction resistance is recognized.
8. optimization mixing system according to claim 1, which is characterized in that main production process energy flow model and point
In medium energy stream network models, iron and steel enterprise's energy stream network integrated model is established, by the energy stream of main production process
The calculated result of model is linked up with medium energy stream network model calculated result is divided, and main production process is as medium energy stream
The terminal node of network obtains required various energy mediums from energy pipe network, generates major product, byproduct, while recycling energy
Source medium, the energy medium of recycling are used as the beginning node of medium energy flow network again；Medium energy stream network model beginning section
Point includes self-produced and Exogenous factor other than recycling the energy, and intermediate link includes storage, conversion distributes and connection medium pipe network, eventually
End node includes main product user, production of energy unit users, public auxiliary and small user, and the extra energy is diffused or sent outside.Wherein can
Production unit role in different medium energy flow networks in source is different, on the one hand in the output medium energy flow network of itself
As beginning node, it is produced from production capacity source, on the other hand because energy unit also consumes the energy, in the energy of other media
In flow network, as terminal node, the energy is consumed；
It is as follows that medium integrates transformation model:
WhereinIndicate the medium m of energy production installations g consumption,Indicate the medium n that energy production installations g is generated,Indicate the conversion coefficient of medium m and medium n, Hn,planIndicate that medium n demand turns plan coefficient,Equal to production unit i
To the requirement of medium nRequirement of other energy units j to medium nAnd public affairs additionally arrange standby k to medium n requirementAlways
With turn plan coefficient multiplied by demand, the demand that refers in formula turns plan coefficient, is calculating other energy units to this medium
When consumption, consumption of the priority medium production unit lower than it to this medium can only be calculated, and has ignored subsequent priority
Demand of the production unit of higher medium to this medium calculates this demand and turns plan coefficient according to subsequent medium history consumption.
9. optimization mixing system according to claim 1, which is characterized in that simulation optimization model includes optimization aim peace treaty
Beam.Optimization aim specifically includes: consumption fuel cost, equipment operation maintenance expense, the outsourcing electricity charge use, release rejection penalty and outer
Power supply income；
In formula, NgIndicate the type of by-product gas；, NbIndicate the number of steam boiler；CgThe price of g kind by-product gas, member/
m3；CCoalIndicate the price of outsourcing coal, member/t；CM,iIndicate operation and maintenance cost (including workers' pay, depreciation, the repairing of boiler
The other fees such as take), member/t；；And expressionG gas consumption amount m of i-th boiler in t moment3It is/t, outer
Purchase consumption of coal amount t/h and steam production t/h；Indicate the generated output in t moment of generating equipment j, KW；CM,jIndicate hair
The operation and maintenance cost of electric equipment j, member/KWh；Pw,tIndicate the outer net output power of t-th of period, kW；xtIndicate outer net in t
The power supply state of period, Cb,tIndicate the outsourcing electricity price of t-th of period, member/kWh；Cs,tIndicate the rate for incorporation into the power network of t-th of period,
Member/kWh；
Constraint condition is as follows:
(1) steam electric demand Constraints of Equilibrium
Iron and steel enterprise is different in demand of the different periods to steam and electric power, and must satisfy the energy in each period system
The equilibrium of supply and demand；
In formula,Indicate generating equipment j in the generated output of t period；PD,tIndicate that power consumer is needed in the total electricity of t moment
It asks；Indicate steam boiler equipment i in the steam production (t/h) of t period；and Respectively indicate steamer
Machine j is in t period steam consumption and steam extraction amount；In total steam demand of t moment；
(2) steam boiler energy balance model
In formula,Indicate the efficiency of i-th steam boiler, HCoalIndicate the calorific value of outsourcing thermal coal, KJ/t；HgIndicate by-product coal
The calorific value of gas g, KJ/m3；Indicate the enthalpy of steam boiler equipment i institute producing steam, KJ/t.；Indicate steam boiler equipment i
The enthalpy of water supply, KJ/t；
(3) residual heat and energy recycles generating equipment CDQ energy balance model
In formula,Indicate the efficiency of m platform residual heat and energy generating equipment, Rm,tWithRespectively indicate residual heat and energy generating equipment m
In the waste heat of t moment recycling and the yield of r grade steam；
(4) the cogeneration of heat and power CHP plant capacity balance model of by-product gas is utilized
In formula, ηkIndicate the efficiency of kth platform cogeneration plant,Spontaneous electric equipment k is respectively indicated in the r etc. of t period
The yield and generated output of grade steam；
(5) capacity of equipment constrains
Steam boiler steam production ability
The constraint of steam turbine throttle flow
Extracted steam from turbine ability
The constraint of generating equipment active power output
(6) direct sending constrains
It is required according to the direct sending of pipe network, t moment, the direct sending requirement of steam medium B, the yield total more than or equal to direct sending unit
(7) fuel constrains in generating set pot
The upper and lower limits that generating set gas fired-boiler uses gas volume
For certain various kinds of coal gas multi-fuel fired boilers, the coal gas used not only requires amount, and also requires to its matter,
Usually require that the mixed thermal value of various kinds of coal gas is greater than minimum requirements；
In formula, βiMinimum requirements of i-th generator to mixed gas calorific value, KJ/kg,
(8) rich gas supply constraint
In each period within entire dispatching cycle, the use total amount of by-product gas is less than or is equal to the period coal gas and supplies
Answer the upper limit；
In formula,For jth kind coal gas the supply of t moment the upper limit.Equal to initial and end of term cabinet position amount of storage it
Difference subtracts the surplus after master operation digestion amount along with yieldI.e. residual gas can be measured；
(9) generator Climing constant
In formula, URiFor the binding occurrence that generator i moment raises, i.e. generator can increase maximum power within a period；DRiFor
The maximum power that the binding occurrence that generator i moment lowers, i.e. generator can reduce within a period.
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