CN101604420A - The method for building up of gas equilibrium model - Google Patents
The method for building up of gas equilibrium model Download PDFInfo
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- CN101604420A CN101604420A CNA2009101043342A CN200910104334A CN101604420A CN 101604420 A CN101604420 A CN 101604420A CN A2009101043342 A CNA2009101043342 A CN A2009101043342A CN 200910104334 A CN200910104334 A CN 200910104334A CN 101604420 A CN101604420 A CN 101604420A
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Abstract
The method for building up of gas equilibrium model of the present invention, its step is as follows: (1) obtains the decision variable x of each node on the mediator network
nValue; (2) with the decision variable x that obtains on each node
nValue composition of vector matrix and calculate the value X of vector matrix; (3) value to decision-making variable vector X limits and screens; (4) stated value coefficient C
n, the value of given price value coefficient vector C; (5) objective function Z is set, objective function Z is realized maximizing and minimizing; (6) according to the objective function z of each node
nDraw the gas balance curve map respectively and coal gas is adjusted.The present invention with quantity express the energy produce and consumption process in utilization, prepare and manage, by the scheduling of comprehensive reasonable is made in the prediction of energy production and consumption, reach purpose energy-efficient, reduction of discharging.
Description
Technical field
The present invention relates to set up a kind of mathematical model, be specifically related to model and method for building up thereof that a kind of thinking with operational research applies to the gas balance prediction and dispatches.
Background technology
Steel and iron industry is energy-consuming industries, and its energy consumption accounts for about 10% of China's total energy consumption, and in the Iron and Steel Production total cost, energy cost occupies 15%～17%.Current, quicken in the process of economic development in China, energy production also is difficult to adapt to the demand of market to the energy, therefore, energy prices are still in rising trend, this will bring the huge market competitive pressure to the iron and steel enterprise of energy-dissipating type, and simultaneously energy consumption and environment also have direct relation, energy savings, cut down the consumption of energy, will increase the benefit and will be the strategic long-term objectives that steel and iron industry is taked in intense market competition.
Present domestic large-scale iron and steel enterprise, all turn to market from the economy of extensive style, in order to improve the energy monitor scheduling and the level of saving energy and reduce the cost, improve the labour productivity of energy resource system, improve the energy resource system safety management, improve environmental quality, set up competitive integrated iron and steel works, it is the trend of development that energy resource system is concentrated management and control and Optimization Dispatching, the informationalized developing direction of smelter after also being, by setting up the energy balance dispatching system of oneself, can give full play to information-based effect in energy-saving and emission-reduction.
The practical experience of many iron and steel enterprises shows, adopt traditional mode of production, labour productivity is lower, the coal gas discharge capacity is big, energy consumption is big, and can not predict and judge accident, speed to the analysis of causes of accident and judgment processing is very slow, and the adjustment of the energy supply and demand during normal and abnormal conditions and the effect of balance are also not obvious.
Summary of the invention
Lower at existing present Iron and Steel Production energy utilization rate, energy consumption is big, the coal gas discharge capacity is big, and the deficiency that can not provide prediction scheme to analyze to energy resource supply, the objective of the invention is to disclose a kind of can with quantity express the energy produce and consumption process in utilization, prepare and manage, and can be by the scheduling of comprehensive reasonable is made in the prediction of energy production and consumption, the method for building up of the gas equilibrium model that reach energy-efficient, reduces discharging.
Technical scheme of the present invention is: the method for building up of gas equilibrium model, and the establishment step of model is as follows:
(1) obtains the decision variable x of each node on the mediator network
nValue, wherein n is a natural number: each decision variable has all been represented the integration capability of energy resource supply, consumption, transmission and stock on this node, on each node, gather energy resource supply, consumption, transmission and stock's real time data, the data that obtain are calculated decision variable x according to national standard and method by pick-up unit
nValue;
(2) with the decision variable x that obtains on each node
nValue composition of vector matrix (x
1, x
2..., x
n), calculate the value of vector matrix, be the decision variable vector, represent with X, because decision variable x
nValue be real-time change, so the value of corresponding decision variable vector X also is a real-time change, all have the value of unique decision variable vector X corresponding with it for each vector matrix of determining;
(3) value to decision-making variable vector X limits and screens: the minimum ability L that can obtain corresponding and unique expression energy resource supply, consumption, transmission and stock according to the technological parameter of equipment on each node
nWith maximum capacity U
n, the L of each node
nAnd U
nValue can distinguish composition of vector matrix (L
1, L
2..., L
n) and (U
1, U
2..., U
n), obtain the value of well-determined vectorial L and U by vector matrix, limit L≤X≤U, got rid of for the value of the X that exceeds this scope;
(4) stated value coefficient C
n, the degree of priority and the value of the various energy on the expression node, value coefficient C
nDetermine by process requirements, when equipment is installed, set the value coefficient C on each node by artificial
nAfter configuring, be definite value, by the C of each node
nValue is formed value coefficient vector matrix (C
1, C
2..., C
n), calculate the value of the value coefficient vector C of unique correspondence by the value coefficient vector matrix;
(5) objective function being set is Z, and Z=CX, and Z is objective function vector matrix (z
1, z
2..., z
n) value, the objective function of each node is z
n=C
nx
n, objective function Z to be realized maximizing and minimizing, its formula is:
Max?Z＝CX Min?Z＝CX，
When objective function Z obtains maximal value or minimum value, push away the maximal value or the minimum value that can obtain decision variable vector X correspondence by formula is counter, and obtain decision variable x corresponding respectively under this state
nValue, energy resource supply, consumption, transmission and stock's amount on each node when determining this state thus;
(6) according to the objective function z of each node
nDraw the gas balance curve map respectively, gas balance curve map according to each node is adjusted the energy resource supply relation of each node, according to the curve map of aims of systems function Z total tank farm stock is adjusted earlier during adjustment, it is controlled in the standard compliant scope, again according to the objective function z of each node
nCurve map respectively the bigger node of fluctuating range is adjusted; The situation of change of observing each curve map again after each the adjustment, and carry out repeatable operation with the method, finally reach system's energy and tend to balance.
Further technical characterictic, the data of in the modelling process, gathering and the parameter value of setting, all be transfused in the control system on backstage, control system is handled data according to the computing method that it presets, and energy resource supply, consumption, transmission and tank farm stock in producing are adjusted.
Set the pipeline conversion coefficient K in system, K represents the ratio of energy conversion between each node, can be by calculating after the detection of device information collection; It is by regulating the K value realization of each node that described gas balance is regulated.
In system, go back setting technique coefficient matrices A and resource limit vector B; Matrix of technological coefficient A accounts for the number percent of total actual amount for the actual amount of each node energy, by the pick-up unit collection and calculate; Resource limit vector B is the energy planning use amount, sets according to throughput requirements before production; Value and the A of the X that obtains with objective function maximization with when minimizing multiply each other, and compare with B value respectively, and pass through adjusting K value, make the value of AX level off to B.
With respect to prior art, the present invention has following remarkable advantage:
1, expresses with quantity that the energy is relevant in the whole process that produce to consume to use, prepare and the problem of aspect such as management, adopt the thinking of operational research to set up the coal gas dynamic balancing mathematical model, requirement according to problem, by mathematical analysis and computing, make the arrangement of comprehensive reasonable, improved the operational management efficient and the labour productivity of energy resource system.
2, can carry out performance analysis and prediction to the situation of the energy in the whole process of production, consumption, transmission and stock by mathematical model, and can be optimized with balance in conjunction with actual demand and dispatch, a series of parameters that may impact whole process in model, have also been considered simultaneously, with the topological diagram of energy network in conjunction with energy production, demand and turnaround plan, generate consumption coefficient matrix and resource limit vector, prediction accuracy is increased substantially.
3, by the prediction and the energy scheduling of model, improved rate of energy, realized energy-saving and emission-reduction, reduced production cost,, simultaneously environmental protection has also been produced great facilitation for enterprise has increased economic benefit.
Description of drawings
Accompanying drawing is an energy network topological diagram of the present invention.
Among the figure, x represents supply, consumption, transmission and the stock's of each node energy decision variable; L represents supply, consumption, transmission and stock's minimum ability of each node; U represents supply, consumption, transmission and stock's maximum capacity of each node; C represents the degree of priority and the value of each node energy; K represents distribution and the conversion coefficient that each pipeline connects.
Embodiment
The invention will be further described below in conjunction with the drawings and specific embodiments.
The method for building up of gas equilibrium model of the present invention is to adopt operational research to study the whole process that energy production consumes, and expresses the problem of aspects such as the relevant energy uses, prepares and manage by quantity.
As shown in drawings, the establishment step of model is as follows:
(1) obtains the decision variable x of each node on the mediator network
nValue, wherein n is a natural number: each decision variable has all been represented the integration capability of energy resource supply, consumption, transmission and stock on this node, on each node, gather energy resource supply, consumption, transmission and stock's real time data, the data that obtain are calculated decision variable x according to national standard and method by pick-up unit
nValue.
(2) with the decision variable x that obtains on each node
nValue composition of vector matrix (x
1, x
2..., x
n), calculate the value of vector matrix, be the decision variable vector, represent with X, because decision variable x
nValue be real-time change, so the value of corresponding decision variable vector X also is a real-time change, all have the value of unique decision variable vector X corresponding with it for each vector matrix of determining.
(3), the value of decision-making variable vector X is limited and screens: the minimum ability L that can obtain corresponding and unique expression energy resource supply, consumption, transmission and stock according to the technological parameter of equipment on each node according to the things characteristics of decision variable representative
nWith maximum capacity U
n, L
nAnd U
nDetermined the technological parameter of appliance arrangement, the L of each node
nAnd U
nValue can distinguish composition of vector matrix (L
1, L
2..., L
n) and (U
1, U
2..., U
n), obtain the value of well-determined vectorial L and U by vector matrix, limit L≤X≤U, got rid of for the value of the X that exceeds this scope.
As shown in drawings, on the pipeline between each node, also be respectively arranged with the minimum ability and the maximum capacity value of each pipeline of expression, as L
13, U
13, L
34, U
34Deng, L
13Expression is the minimum ability value of pipeline 3 from node 1 to node, U
13Expression is the maximum capacity value of pipeline 3 from node 1 to node, by that analogy.When gas balance is regulated, need be with reference to the minimum and maximum ability value of each pipeline, be that energy transmission quantity between the node need be controlled between the minimum and maximum ability value of each pipeline, otherwise illustrate to have occurred fault or wasting phenomenon in process of production, the energy transmission quantity of pipeline can obtain by pick-up unit.
(4) stated value coefficient C
n, the degree of priority and the value of the various energy on the expression node, value coefficient C
nDetermine by process requirements, when equipment is installed, set the value coefficient C on each node by artificial
nAfter configuring, be definite value, by the C of each node
nValue is formed value coefficient vector matrix (C
1, C
2..., C
n), calculate the value of the value coefficient vector C of unique correspondence by the value coefficient vector matrix.Value coefficient C
nScheduling when operation can be adjusted the demand of the energy according to the user, and demand is big more, C
nBe worth big more, C
nValue promptly be equivalent in whole coal gas medium the representative fraction that each node energy uses.In actual use, according to the production schedule, C
nValue can adopt artificial adjustment.
(5) objective function being set is Z, and Z=CX, and Z is objective function vector matrix (z
1, z
2..., z
n) value, the objective function of each node is z
n=C
nx
n, according to the difference of problem, objective function Z to be realized maximizing and minimizing, its formula is:
Max?Z＝CX Min?Z＝CX，
When objective function Z obtains maximal value or minimum value, push away the maximal value or the minimum value that can obtain decision variable vector X correspondence by formula is counter, and obtain decision variable x corresponding respectively under this state
nValue, energy resource supply, consumption, transmission and stock's amount on each node when determining this state thus.
(6) according to the objective function z of each node
nDraw the gas balance curve map respectively, the energy resource supply relation of each node is adjusted according to the gas balance curve map of node.Total tank farm stock is adjusted earlier during adjustment, it is controlled in the standard compliant scope, again according to the objective function z of each node according to the curve map of aims of systems function Z
nCurve map respectively the bigger node of fluctuating range is adjusted; The situation of change of observing each curve map again after each the adjustment, and carry out repeatable operation with the method, finally reach system's energy and tend to balance, realize resource optimization.
The data of in the modelling process, gathering and the parameter value of setting, all be transfused in the control system on backstage, control system is handled data according to the computing method that it presets, and energy resource supply, consumption, transmission and tank farm stock in producing are adjusted.
To further optimization of the present invention, in system, set the pipeline conversion coefficient K, K represents the ratio of energy conversion between each node, pipeline conversion coefficient K between each node has been represented the ratio from a node to energy conversion another node, as 20%, 50%, 80% etc., can be by calculating after the detection of device information collection; The K value that control system is regulated each node according to the gas balance curve map reaches energy resource supply, consumption, transmission and stock's optimization, thereby improves rate of energy, saves production cost.
In system, also set matrix of technological coefficient A and resource limit vector B; Matrix of technological coefficient A accounts for the number percent of total actual amount for the actual amount of each node energy, by the pick-up unit collection and calculate; Resource limit vector B is the energy planning use amount, sets according to throughput requirements before production; Value and the A of the X that obtains when objective function is maximized and minimizes multiply each other, and compare with the B value respectively again.When AX 〉=B, show that energy consumption is excessive, need to improve technological level; When AX≤B, show energy surplus, can shift the energy to other nodes according to demand.By regulating the K value of each node, make the value of AX level off to B, thereby reach the gas balance of system.
In gas equilibrium model, classify according to the operating mode situation, can be divided into: blast furnace staying; Coke oven burns the producer gas heating; Steel rolling mill's maintenance (stopping production); Maintenance (blast furnace, a steel-making, a rolling line) synchronously; Generator outages etc. select a kind of be optimized balance forecast and scheduling from each type then.As when the blast furnace staying, can calculate blast furnace, coking coal coal gas surplus and coal gas difference, thereby can indicate what object according to model and can adjust, how many adjustment amounts is, in time adjusts by scheduling then.After carrying out energy scheduling, the coal gas diffusion rate reduces very obvious.
Energy saving economy index of the present invention:
With heavy steel is example, and the height overall gas yield is 794km
3/ h adopts the gas equilibrium model prediction and dispatches the back blast furnace gas amount of diffusing minimizing 4.5%, if annual by calculating in 300 days, the contribution rate of gas balance scheduling is pressed 40% and calculated, and the coal gas amount that annual saving reduces is:
794×0.045×300×24×0.4＝102902.4km
3/h
Being converted to standard coal equivalent is:
102902.4 * 0.1207/1000 ≈ 12.4k ton.
The total coke gas output of heavy steel is 63km
3/ h adopts the gas equilibrium model prediction and dispatches the back coke-oven gas amount of diffusing minimizing 3.5%, if annual by calculating in 300 days, the contribution rate of gas balance scheduling is pressed 40% and calculated, and the coal gas amount that annual saving reduces is:
63×0.035×300×24×0.4＝6350.4km
3/h
Being converted to standard coal equivalent is:
6350.4*0.5429/1000 ≈ 3.4k ton.
Reduce discharging index: SO
2By 0.018 ton of/ton standard coal equivalent conversion, CO
2By 0.6 ton of carbon/ton standard coal equivalent conversion, SO
2CER be:
0.018 * (12400+3300)=282.6 ton
CO
2CER be:
0.6 * (12400+3300)=9420 ton.
Gas equilibrium model of the present invention by the analysis and the computing of mathematics, can be made the prediction of comprehensive reasonable according to the requirement of problem, by prediction production is dispatched, and can reach less expensive, use the purpose of the energy effectively.
Claims (4)
1, the method for building up of gas equilibrium model is characterized in that, the establishment step of model is as follows:
(1) obtains the decision variable x of each node on the mediator network
nValue, wherein n is a natural number: each decision variable has all been represented the integration capability of energy resource supply, consumption, transmission and stock on this node, on each node, gather energy resource supply, consumption, transmission and stock's real time data, the data that obtain are calculated decision variable x according to national standard and method by pick-up unit
nValue;
(2) with the decision variable x that obtains on each node
nValue composition of vector matrix (x
1, x
2..., x
n), calculate the value of vector matrix, be the decision variable vector, represent with X, because decision variable x
nValue be real-time change, so the value of corresponding decision variable vector X also is a real-time change, all have the value of unique decision variable vector X corresponding with it for each vector matrix of determining;
(3) value to decision-making variable vector X limits and screens: the minimum ability L that can obtain corresponding and unique expression energy resource supply, consumption, transmission and stock according to the technological parameter of equipment on each node
nWith maximum capacity U
n, the L of each node
nAnd U
nValue can distinguish composition of vector matrix (L
1, L
2..., L
n) and (U
1, U
2..., U
n), obtain the value of well-determined vectorial L and U by vector matrix, limit L≤X≤U, got rid of for the value of the X that exceeds this scope;
(4) stated value coefficient C
n, the degree of priority and the value of the various energy on the expression node, value coefficient C
nDetermine by process requirements, when equipment is installed, set the value coefficient C on each node by artificial
nAfter configuring, be definite value, by the C of each node
nValue is formed value coefficient vector matrix (C
1, C
2..., C
n), calculate the value of the value coefficient vector C of unique correspondence by the value coefficient vector matrix;
(5) objective function being set is Z, and Z=CX, and Z is objective function vector matrix (z
1, z
2..., z
n) value, the objective function of each node is z
n=C
nx
n, objective function Z to be realized maximizing and minimizing, its formula is:
Max?Z＝CX Min?Z＝CX，
When objective function Z obtains maximal value or minimum value, push away the maximal value or the minimum value that can obtain decision variable vector X correspondence by formula is counter, and obtain decision variable x corresponding respectively under this state
nValue, energy resource supply, consumption, transmission and stock's amount on each node when determining this state thus;
(6) according to the objective function z of each node
nDraw the gas balance curve map respectively, gas balance curve map according to each node is adjusted the energy resource supply relation of each node, according to the curve map of aims of systems function Z total tank farm stock is adjusted earlier during adjustment, it is controlled in the standard compliant scope, again according to the objective function z of each node
nCurve map respectively the bigger node of fluctuating range is adjusted; The situation of change of observing each curve map again after each the adjustment, and carry out repeatable operation with the method, finally reach system's energy and tend to balance.
2, the method for building up of gas equilibrium model according to claim 1, it is characterized in that, the data of in the modelling process, gathering and the parameter value of setting, all be transfused in the control system on backstage, control system is handled data according to the computing method that it presets, and energy resource supply, consumption, transmission and tank farm stock in producing are adjusted.
3, the method for building up of gas equilibrium model according to claim 1 is characterized in that, sets the pipeline conversion coefficient K, and K represents the ratio of energy conversion between each node, can be by calculating after the detection of device information collection; It is by regulating the K value realization of each node that described gas balance is regulated.
4, according to the method for building up of claim 1 or 3 described gas equilibrium models, it is characterized in that setting technique coefficient matrices A and resource limit vector B; Matrix of technological coefficient A accounts for the number percent of total actual amount for the actual amount of each node energy, by the pick-up unit collection and calculate; Resource limit vector B is the energy planning use amount, sets according to throughput requirements before production; Value and the A of the X that obtains with objective function maximization with when minimizing multiply each other, and compare with B value respectively, and pass through adjusting K value, make the value of AX level off to B.
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| CNA2009101043342A CN101604420A (en) | 2009-07-14 | 2009-07-14 | The method for building up of gas equilibrium model |
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| Application Number | Priority Date | Filing Date | Title |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102279297A (en) * | 2010-05-13 | 2011-12-14 | Ls产电株式会社 | Apparatus and method for energy management |
| CN102799151A (en) * | 2012-07-05 | 2012-11-28 | 大连理工大学 | Statistical-classification-based method for real-time balance adjustment of metallurgical gas system |
| CN110189230A (en) * | 2019-01-02 | 2019-08-30 | 国网冀北电力有限公司秦皇岛供电公司 | A kind of construction method of the parsingization model of dynamic partition |
-
2009
- 2009-07-14 CN CNA2009101043342A patent/CN101604420A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102279297A (en) * | 2010-05-13 | 2011-12-14 | Ls产电株式会社 | Apparatus and method for energy management |
| US8996184B2 (en) | 2010-05-13 | 2015-03-31 | Lsis Co., Ltd. | Apparatus and method for energy management |
| CN102799151A (en) * | 2012-07-05 | 2012-11-28 | 大连理工大学 | Statistical-classification-based method for real-time balance adjustment of metallurgical gas system |
| CN110189230A (en) * | 2019-01-02 | 2019-08-30 | 国网冀北电力有限公司秦皇岛供电公司 | A kind of construction method of the parsingization model of dynamic partition |
| CN110189230B (en) * | 2019-01-02 | 2023-06-16 | 国网冀北电力有限公司秦皇岛供电公司 | Construction method of analytic model of dynamic partition |
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Application publication date: 20091216 |