CN109376945A - A kind of coal mixing combustion optimization system based on more coals - Google Patents
A kind of coal mixing combustion optimization system based on more coals Download PDFInfo
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Abstract
The present invention relates to a kind of coal mixing combustion optimization system based on more coals, which includes: offline coal blending optimizing module (1): the module determines the optimal mixed-fuel burning proportion of each coal with the minimum objective optimization of coal blending overall cost, determines Coal Blending Schemes；Boiler combustion on-line operation optimization module (2): the module carries out the optimization of boiler combustion status when boiler is with determining Coal Blending Schemes operation according to boiler operatiopn real time status.Compared with prior art, the present invention optimizes in terms of coal blending and boiler combustion two, can further decrease coal consumption for power generation, with good economic efficiency and social benefit.
Description
Technical field
The present invention relates to a kind of coal mixing combustion optimization systems, optimize more particularly, to a kind of coal mixing combustion based on more coals
System.
Background technique
Current China power industry is from planned economic system gradually to market economic system transition, one side of electricity power enterprise
Face will face the Electricity Market Competition surfed the Net at a competitive price；On the other hand it is adopted corresponding to the raw coal type used as thermal power plant
Purchase is different with transportation cost, the production cost of electricity power enterprise will be made to further increase if using design coal for a long time.At this
In the case of kind, domestic many coal-burning power plants are all used in the case where benchmark coal, are mixed the other coals of burning and are optimized burning
To reduce the method for operation of production cost, but often occur becoming due to boiler as-fired coal characteristic in unit actual moving process
That changes is indefinite, such as lacks the guidance of corresponding Coal Blending Technology and coal quality on-line monitoring technique, can not accomplish according to coal-fired ingredient
Actual conditions carry out Operating condition adjustment, cause generate slagging, do not burn carbon increase, pollutant emission increase etc. influence unit
The case where economical operation, occurs, safety that is serious or even influencing unit operation.
At the same time, the automatic optimal that external DCS producer researchs and develops instructs or burning optimization closed-loop control system, is
Principle is excavated based on operation history data, several power plant's applicable cases are less desirable at home, while the basic nothing of this mode
The variation bring that method adapts to coal quality influences, therefore also fails to large-scale application in all types of fired power generating units.
In addition, domestic real time execution optimization under the conditions of mixing the performance prediction of coal burner group and emitted smoke and becoming coal refers to
Field is led, is in the starting stage, all prematurities of all kinds of optimization algorithms apply to power plant production scene, and many optimization softwares are not yet
It is designed from power plant's actual motion, practicability is poor.Meanwhile such to comprehensively consider discharge costs optimal and complicated mix
The operation instruction system of Coal Blending Schemes decision is substantially at blank in plant information technical field.
Summary of the invention
It is an object of the present invention to overcome the above-mentioned drawbacks of the prior art and provide a kind of based on more coals
Coal mixing combustion optimization system.
The purpose of the present invention can be achieved through the following technical solutions:
A kind of coal mixing combustion optimization system based on more coals, the system include:
Offline coal blending optimizing module: the module determines the optimal of each coal with the minimum objective optimization of coal blending overall cost
Mixed-fuel burning proportion determines Coal Blending Schemes；
Boiler combustion on-line operation optimization module: the module is in boiler to be transported when determining Coal Blending Schemes operation according to boiler
The optimization of row real time status progress boiler combustion status.
The offline coal blending optimizing module includes:
Raw coal Database Unit: the unit is used to store the data information of each coal, and the data information includes basis
Data, Industrial Analysis data, Elemental analysis data, grindability data, ash fusion point data and ash component data；
Mixed coal specificity analysis unit: for the unit for analyzing the mixed coal characteristic configured by more coals, described is mixed
Coal characteristic includes fire behaviour, burnout characteristic, Slagging Characteristics and pollutant emission characteristic；
Coal blending optimizing unit: the unit is used to set the mixed-fuel burning proportion of each coal, calls each coal of raw coal Database Unit
Data information, and combine mixed coal specificity analysis unit mixed coal specificity analysis as a result, with the minimum target of coal blending overall cost
The optimal mixed-fuel burning proportion that adjustment determines each coal is optimized to the mixed-fuel burning proportion of each coal.
The basic data includes the storage quantity of coal, the type of coal, the price of coal, the field damage of coal and fortune damage；Described
Industrial Analysis data include total moisture, low heat valve, Nei Shui, the full sulphur, volatile matter of coal；The Elemental analysis data includes
Element hydrogen, elemental oxygen and elemental nitrogen；The grindability data include grindability index；The ash fusion point data include deformation temperature
Degree, softening temperature, hemispherical fusion temperature and flowing temperature；The ash component data include SiO2、Al2O3, MgO and K2O production quantity.
Coal blending optimizing unit determines that the optimal mixed-fuel burning proportion of each coal is realized especially by such as under type:
(a) coal blending overall cost model is established:
Fmin=α1Fa+α2Fb+α3Fc,
Wherein, FaFor safety cost, FbFor economy cost, FcFor feature of environmental protection cost；
(b) constraint function is established:
Calorific value constraint:
Sulfur constraint:
Volatile matter constraint: VA≤V≤VB,
Moisture constraint: M=fM(Xi,Mi)≤MB, M≤MB,
Ash content constraint: AA≤ A=fA(Xi,Ai)≤AB, AA≤A≤VB,
Softening temperature constraint: T=fT(Xi,Qi)≥TA, T >=TA,
Wherein, Q is the fever total amount of Coal Blending Schemes, XiFor the mixed-fuel burning proportion of i-th kind of coal, n is coal in Coal Blending Schemes
Total number, QiFor the calorific value of i-th kind of coal, QAAnd QBThe lower and upper limit of fever total amount are corresponded to, S is the total of Coal Blending Schemes
Sulfur, SiFor the sulfur of i-th kind of coal, SBFor the sulfur upper limit, V is the total volatile content of Coal Blending Schemes, VAAnd VBCorrespond to volatile matter
Lower and upper limit, M are the total moisture of Coal Blending Schemes, MBFor the moisture upper limit, A is the total ash of Coal Blending Schemes, AAAnd ABCorrespond to ash
The lower and upper limit divided, T are the softening temperature of Coal Blending Schemes, TAFor softening temperature lower limit；
(c) with FminMinimum target is taken, is iterated the optimal fuel mixing ratio that optimization determines each coal in conjunction with constraint function
Example.
Safety cost FaSpecifically:
Wherein, gq[f (x)] indicates to guarantee the safety cost of mixed coal index q safety, and g (x) indicates the change of mixed coal index q
Change function, indicate mixed coal natural characteristic index when q=1, when q=2 indicates the comprehensive slagging index of mixed coal, and when q=3 indicates mixed coal heat
Value；
Economy cost FbSpecifically:
Wherein, XiFor the mixed-fuel burning proportion of i-th kind of coal, PiFor the composite price of i-th kind of coal, n is coal in Coal Blending Schemes
Total number；
Feature of environmental protection cost FcSpecifically:
Wherein, gf[f (x)] indicates the discharge costs of f emission, and f (x) indicates the emission performance function of f emission, f=1
When indicate NOxEmission, when f=2, indicate SO2Emission, when f=3, indicate SO2Dust emission object.
The boiler combustion on-line operation optimization module includes:
Coal quality automatically analyzes unit: the unit automatically analyzes coal data, the coal quality according to determining Coal Blending Schemes
Data include coal quality flammability, burnout rate and fuel conversion factor；
Coal quality is manually entered unit: the unit is manually entered coal data, the coal quality according to determining Coal Blending Schemes
Data include coal quality flammability, burnout rate and fuel conversion factor；
Boiler operatiopn monitoring unit: the unit real-time monitoring boiler operatiopn state, including boiler controller system performance indicator, SOFA
Wind aperture, air preheater fume side differential pressure and denitration desulphurization system parameter；
Running optimizatin unit: the unit automatically analyzes coal data that unit automatically analyzes according to coal quality or coal quality is recorded manually
Enter the boiler operatiopn state of the coal data that unit is manually entered and real-time monitoring, with the minimum target pair of boiler combustion cost
Boiler combustion status optimizes.
Boiler combustion status optimizes the optimization for specifically including boiler SCR import oxygen amount, SOFA throttle opening, burner pivot angle
Adjustment.
Compared with prior art, the present invention has the advantage that
(1) present invention optimizes in terms of coal blending and boiler combustion two, can further decrease coal consumption for power generation, and gradually mention
The level of understanding and operation level that high professional runs unit, unit energy-saving potential is excavated in help, to promote unit
Safety and economic benefit；Power plant is promoted targetedly to carry out the implementation of Coal Blending Schemes in the case where coal is changeable, while can basis
Multiple Coal Blending Schemes provided by system are carried out by the optimal Coal Blending Schemes that oneself requirement can choose most suitable our factory's actual conditions
It is daily to mix burning work；Net coal consumption rate is reduced, the Coal-fired capacity under same generated energy is reduced, thus also reduces power plant indirectly
Total emissions are horizontal, reduce the side effect of power generation environmental pollution, have good social benefit.
(2) present invention establishes coal blending overall cost model, carries out optimizing using Orthogonal Genetic Algorithm, to obtain most
Excellent coal mixing combustion ratio, has been effectively ensured economy.
Detailed description of the invention
Fig. 1 be the present invention is based on the structural block diagram of the coal mixing combustion optimization system of more coals,
In figure, 1 is offline coal blending optimizing module, and 2 be boiler combustion on-line operation optimization module, and 11 be raw coal database list
Member, 12 be mixed coal specificity analysis unit, and 13 be coal blending optimizing unit, and 21 automatically analyze unit for coal quality, and 22 record manually for coal quality
Enter unit, 23 be boiler operatiopn monitoring unit, and 24 be running optimizatin unit.
Specific embodiment
The present invention is described in detail with specific embodiment below in conjunction with the accompanying drawings.Note that the following embodiments and the accompanying drawings is said
Bright is substantial illustration, and the present invention is not intended to be applicable in it object or its purposes is defined, and the present invention does not limit
In the following embodiments and the accompanying drawings.
Embodiment
As shown in Figure 1, a kind of coal mixing combustion optimization system based on more coals, the system include:
Offline coal blending optimizing module 1: the module determines the optimal of each coal with the minimum objective optimization of coal blending overall cost
Mixed-fuel burning proportion, determine Coal Blending Schemes；
Boiler combustion on-line operation optimization module 2: the module is when boiler is with determining Coal Blending Schemes operation according to boiler
Run the optimization that real time status carries out boiler combustion status.
Coal blending optimizing module 1 includes: offline
Raw coal Database Unit 11: the unit is used to store the data information of each coal, data information include basic data,
Industrial Analysis data, Elemental analysis data, grindability data, ash fusion point data and ash component data；
Mixed coal specificity analysis unit 12: for the unit for analyzing the mixed coal characteristic configured by more coals, mixed coal is special
Property includes fire behaviour, burnout characteristic, Slagging Characteristics and pollutant emission characteristic；
Coal blending optimizing unit 13: the unit is used to set the mixed-fuel burning proportion of each coal, calls raw coal Database Unit 11 each
The data information of coal, and combine the mixed coal specificity analysis of mixed coal specificity analysis unit 12 as a result, minimum with coal blending overall cost
The optimal mixed-fuel burning proportion that adjustment determines each coal is optimized for mixed-fuel burning proportion of the target to each coal.
Basic data includes the storage quantity of coal, the type of coal, the price of coal, the field damage of coal and fortune damage；Industrial Analysis data
Total moisture, low heat valve, Nei Shui, full sulphur, volatile matter including coal；Elemental analysis data includes element hydrogen, elemental oxygen and member
Plain nitrogen；Grindability data include grindability index；Ash fusion point data include deformation temperature, softening temperature, hemispherical fusion temperature and flowing temperature
Degree；Ash component data include SiO2、Al2O3, MgO and K2O production quantity.
Coal blending optimizing unit 13 determines that the optimal mixed-fuel burning proportion of each coal is realized especially by such as under type:
(a) coal blending overall cost model is established:
Fmin=α1Fa+α2Fb+α3Fc,
Wherein, FaFor safety cost, FbFor economy cost, FcFor feature of environmental protection cost；
Wherein, safety cost FaSpecifically:
Wherein, gq[f (x)] indicates to guarantee the safety cost of mixed coal index q safety, and g (x) indicates the change of mixed coal index q
Change function, indicate mixed coal natural characteristic index when q=1, when q=2 indicates the comprehensive slagging index of mixed coal, and when q=3 indicates mixed coal heat
Value；
Economy cost FbSpecifically:
Wherein, XiFor the mixed-fuel burning proportion of i-th kind of coal, PiFor the composite price of i-th kind of coal, n is coal in Coal Blending Schemes
Total number；
Feature of environmental protection cost FcSpecifically:
Wherein, gf[f (x)] indicates the discharge costs of f emission, and f (x) indicates the emission performance function of f emission, f=1
When indicate NOxEmission, when f=2, indicate SO2Emission, when f=3, indicate SO2Dust emission object.
(b) constraint function is established:
Calorific value constraint:
Sulfur constraint:
Volatile matter constraint: VA≤V≤VB,
Moisture constraint: M=fM(Xi,Mi)≤MB, M≤MB,
Ash content constraint: AA≤ A=fA(Xi,Ai)≤AB, AA≤A≤VB,
Softening temperature constraint: T=fT(Xi,Qi)≥TA, T >=TA,
Wherein, Q is the fever total amount of Coal Blending Schemes, XiFor the mixed-fuel burning proportion of i-th kind of coal, n is coal in Coal Blending Schemes
Total number, QiFor the calorific value of i-th kind of coal, QAAnd QBThe lower and upper limit of fever total amount are corresponded to, S is the total of Coal Blending Schemes
Sulfur, SiFor the sulfur of i-th kind of coal, SBFor the sulfur upper limit, V is the total volatile content of Coal Blending Schemes, VAAnd VBCorrespond to volatile matter
Lower and upper limit, M are the total moisture of Coal Blending Schemes, MBFor the moisture upper limit, A is the total ash of Coal Blending Schemes, AAAnd ABCorrespond to ash
The lower and upper limit divided, T are the softening temperature of Coal Blending Schemes, TAFor softening temperature lower limit.
(c) with FminMinimum target is taken, is iterated the optimal fuel mixing ratio that optimization determines each coal in conjunction with constraint function
Example.
Optimizing algorithm of the present invention uses Orthogonal Genetic Algorithm, the specific steps are as follows:
1) it determines single coal database, is monitored in real time by the state to unit, to select to participate in each list of coal blending
Coal class；
2) under conditions of meeting safety, economy and the feature of environmental protection, construct coal mixing combustion overall cost model, i.e., it is orthogonal
The objective function of optimizing, and determine relevant constraint；
3) adaptive response function fit (x) is constructed, by determining coal mixing combustion objective function, constructs genetic algorithm oneself
Fitness function fit (x)；
4) initial population Chrom, the initial population Chrom for using orthogonal test method to determine number of individuals as M are created；
5) according to adaptive response function fit (x), fitness value individual in population Chrom is calculated；
6) elitism strategy (Elite Strategy) is used, fitness value individual in the top is directly copied to
It is next-generation；
7) finally by selection, intersection and variation, remaining (M-N) individual is generated, and constitutes the new kind of covering Chrom
Group；
8) algorithm successively the 5th~7 step of iteration, until reaching maximum genetic algebra MAXGEN terminates.
Boiler combustion on-line operation optimization module 2 includes:
Coal quality automatically analyzes unit 21: the unit automatically analyzes coal data, coal data according to determining Coal Blending Schemes
Including coal quality flammability, burnout rate and fuel conversion factor；
Coal quality is manually entered unit 22: the unit is manually entered coal data, coal data according to determining Coal Blending Schemes
Including coal quality flammability, burnout rate and fuel conversion factor；
Boiler operatiopn monitoring unit 23: the unit real-time monitoring boiler operatiopn state, including boiler controller system performance indicator,
SOFA wind aperture, air preheater fume side differential pressure and denitration desulphurization system parameter；
Running optimizatin unit 24: the unit automatically analyzes the coal data or coal quality hand that unit 21 automatically analyzes according to coal quality
The boiler operatiopn state of the dynamic coal data being manually entered of typing unit 22 and real-time monitoring is minimum with boiler combustion cost
Target optimizes boiler combustion status.
Boiler combustion status optimizes the optimization for specifically including boiler SCR import oxygen amount, SOFA throttle opening, burner pivot angle
Adjustment.
To sum up, the present invention is based on the coal mixing combustion optimization systems of more coals, are guidance with Optimum Theory, according to unit master
The practical operation situation of subsidiary engine equipment, the result tested by fully optimized and related type of furnace heating power calculation and check method etc. carry out
Comprehensive analysis, establish and complete the optimal fuel mixing ratio decision of the offline economy of a set of collection and on-line operation mode guiding opinion certainly
Plan system enables unit to keep most reasonable parameter matching and the optimal method of operation under various external conditions.
The development thinking of the coal mixing combustion decision system is divided into offline coal blending optimizing and boiler combustion on-line operation optimization two
Part.
Offline coal blending optimizing part by data-interface by power plant is existing and all kinds of coal data of history carry out it is effective
Management and conclusion directly change important parameter progress additions and deletions and look into, so that each professional of power plant is to the coal analysis for carrying out coal in factory
Ingredient is got information about.User interface friendly by exploitation simultaneously gives each storehouse mixed coal under parameter current setting
Optimal mixed-fuel burning proportion, total cost and each Costco Wholesale that relative datum operating condition can save, coal consumption cost, pollutant place
The case where managing cost, blowdown fine cost.Optimized Coal Blending provides the optimal mixed-fuel burning proportion of each storehouse mixed coal so that coal blending it is comprehensive at
Originally reach minimum.
Boiler combustion on-line operation optimization part is then each coal pulverizer coal information and coal as received coal from MIS of power house
Matter analysis data are started with, and by the way that the coal data in MIS of power house system is acquired and is handled, and are combined in SIS data library
Each real-time coal-supplying amount of coal pulverizer the Related Component information of as-fired coal is calculated in real time；On this basis, by with boiler
For the thermal parameter calculation and check model that prototype is established, each to boiler operation performance variable carry out changing to come to a certain extent into
Row divides horizontal combination, each heating surface inlet and outlet parameter and boiler final outlet parameter is further predicted, such as exhaust gas temperature, oxygen
Amount, main reheat steam temperature, main reheating desuperheating water etc., while calculating parameter variation bring consumption difference influences.According to power plant's actual conditions
It is required that calculating always to consume the tune of optimized operation parameter under the current operating condition of the minimum target value of poor minimum or operating cost
Whole value.
The present embodiment installs 4 325MW coal units as research object using Huaneng Group Shanghai the first power plant of pit hole mouth, invents
A kind of coal mixing combustion decision system based on more coals.On the one hand the decision system can provide each storehouse mixed coal by Optimized Coal Blending
Optimal mixed-fuel burning proportion, so that coal blending overall cost reaches minimum.In addition, system real-time monitoring boiler low nitrogen burning and SCR fortune
Market condition, and boiler combustion optimization integrated operation cost is carried out to provide oxygen amount, SOFA throttle opening, combustion in real time in line computation
The given value of the main method of operation such as burner pivot angle, coal pulverizer, instructs unit to run.The optimization system mainly includes matching offline
The functions such as coal, real-time optimization and parameter prediction.
Offline coal blending mainly includes following sections:
1. establishing raw coal database
Vertical raw coal database is established, basic data, Industrial Analysis, elemental analysis including the various raw coal for coal blending,
Grindability, ash fusion point, ash component etc..The basic data of raw coal include the storage quantity of coal, the type of coal, the price of coal, coal field
Damage and fortune damage etc.；Industrial Analysis include the total moisture of coal, low heat valve, Nei Shui, full sulphur, volatile matter, element hydrogen, elemental oxygen and
Elemental nitrogen etc.；Grindability includes grindability index；Ash fusion point includes deformation temperature, softening temperature, hemispherical fusion temperature and flowing temperature
Deng；Ash component includes and waits.One of an important factor for coal quality is decision boiler combustion situation and operating parameter carries out coal quality
Elemental analysis data is checked and is differentiated, calculates the theoretical air requirement, vapor volume, three atomic gas volumes of the coal, and sentence
The attribute of other coal.It can modify or create raw coal data.
2. analyzing mixed coal characteristic
Fire behaviour, burnout characteristic, Slagging Characteristics and pollutant emission characteristic etc. for comparing mixed coal.Mixed coal
Fiery characteristic levels off to the higher coal of volatile matter in each component list coal, and Coal Blends Ignition spy is characterized with the concept of equivalent volatile matter
Property；The burnout characteristic of mixed coal is usually to be characterized by indexs such as burn-off rate, Burn-out temperature and tail-off times, the combustion of each component list coal
Characteristic has direct influence to the burnout characteristic of mixed coal to the greatest extent, and the burnout characteristic of mixed coal is unsatisfactory for linear additive property, but tends to
Fire retardant coal to the greatest extent in component list coal；Corresponding two features of the Slagging Characteristics of mixed coal: first is that the high-temperature fusion of coal dust or coal ash
Characteristic, second is that the exposure level of coal dust or coal ash particle and heating surface；The index of pollutant emission characteristic includes, etc. gases and
Particulates from Coal Combustion, the nitrogen oxide emission and each component list coal of mixed coal do not have the relationship in range, but depend on component list
The coal characteristic of coal and the formation mechanism of nitrogen oxides and burning condition.
3. Optimized Coal Blending
Optimized Coal Blending is the core page of offline coal blending, manually selectes a kind of basic coal to each storehouse first, one kind mixes burning
Coal sets the coal amount ratio in each storehouse, the optimal mixed-fuel burning proportion of each storehouse mixed coal is provided by software, so that coal blending overall cost
Reach minimum.I.e. it is existing deposit coal under the conditions of, correctly select best group of Coal Blending and proportion and coal pulverizer and coal
It closes, this is the process with prediction property, the optimization before can be considered burning.
On the other hand, when the mixed coal of certain scheme burns in boiler, by being judged real-time status and being made
Suitable combustion adjustment can timely make up the fault being likely to occur in program decisions and unforeseen service requirement,
This process is then a real-time process, is real-time optimization.The premise problem of real-time optimization is commented current boiler performance
Valence, tradition is usually only concerned boiler efficiency for the characterization of boiler performance, as power plant's environmental protection pressure is increasing, pollutant row
Putting data also becomes the important parameter of boiler performance, such as dust.In addition, in the state of coal mixing combustion, due to that would generally mix
Some low-grade coals are burnt, so that total coal amount becomes larger, the power output of the subsidiary engines such as coal pulverizer, blower is increased, and the abrasion of flue also will increase, together
When, the distribution of burner hearth wall temperature, in furnace heat load distribution etc. also can with have very big difference when using design coal, and these can all cause
Therefore the safety issue of boiler is particularly important the real-time optimization of coal mixing combustion.
Boiler combustion on-line operation mainly includes following sections:
1 current coal analysis
The index analysis such as the coal quality that is calculated according to current coal blending forms data, coal is inflammable, burnout rate, fuel N conversion ratio.
2. coal data typing
Can manual entry power plant often use the Industrial Analysis data of coal.
3. boiler operatiopn monitors
System monitoring includes real-time monitoring unit performance index, SOFA wind aperture, air preheater fume side differential pressure, takes off
Nitre, desulphurization system parameter etc..
4. running optimizatin instructs
The core page of boiler combustion optimization, according to boiler combustion optimization overall cost model calculate, provide in real time SCR into
The given value of the methods of operation such as mouth oxygen amount, SOFA throttle opening, burner pivot angle can be such that unit denitration operation overall cost reaches
To minimum.
Finally by parameter prediction function, all data that calculate are the actual value under current unit operating condition.Pass through
Change other adjustable parameters to predict that the variation of unit performance and emissions data gives operations staff's visual reference.
The success of the system is developed and is put into operation, in place in conjunction with management system, it is contemplated that net coal consumption rate falls about 1 on a year-on-year basis
Gram/kilowatt hour, it is calculated by one 1,200,000,000 degree of unit annual electricity generating capacity, 1200 tons of coal of mark can be saved within 1 year, in terms of 800 yuan of mark coal per ton
It calculates, 960,000 yuan of RMB can be saved within 1 year.The system can widely promote the use of on the thermoelectricity generating set of various grades.
Above embodiment is only to enumerate, and does not indicate limiting the scope of the invention.These embodiments can also be with other
Various modes are implemented, and can make in the range of not departing from technical thought of the invention it is various omit, displacement, change.
Claims (7)
1. a kind of coal mixing combustion optimization system based on more coals, which is characterized in that the system includes:
Offline coal blending optimizing module (1): the module determines the optimal of each coal with the minimum objective optimization of coal blending overall cost
Mixed-fuel burning proportion determines Coal Blending Schemes；
Boiler combustion on-line operation optimization module (2): the module is in boiler to be transported when determining Coal Blending Schemes operation according to boiler
The optimization of row real time status progress boiler combustion status.
2. a kind of coal mixing combustion optimization system based on more coals according to claim 1, which is characterized in that it is described from
Line coal blending optimizing module (1) includes:
Raw coal Database Unit (11): the unit is used to store the data information of each coal, and the data information includes basis
Data, Industrial Analysis data, Elemental analysis data, grindability data, ash fusion point data and ash component data；
Mixed coal specificity analysis unit (12): for the unit for analyzing the mixed coal characteristic configured by more coals, described is mixed
Coal characteristic includes fire behaviour, burnout characteristic, Slagging Characteristics and pollutant emission characteristic；
Coal blending optimizing unit (13): the unit is used to set the mixed-fuel burning proportion of each coal, calls raw coal Database Unit (11) each
The data information of coal, and combine the mixed coal specificity analysis of mixed coal specificity analysis unit (12) as a result, most with coal blending overall cost
It is small that the optimal mixed-fuel burning proportion that adjustment determines each coal is optimized to the mixed-fuel burning proportion of each coal for target.
3. a kind of coal mixing combustion optimization system based on more coals according to claim 2, which is characterized in that the base
Plinth data include the storage quantity of coal, the type of coal, the price of coal, the field damage of coal and fortune damage；The Industrial Analysis data include
Total moisture, low heat valve, Nei Shui, the full sulphur, volatile matter of coal；The Elemental analysis data include element hydrogen, elemental oxygen and
Elemental nitrogen；The grindability data include grindability index；The ash fusion point data include deformation temperature, softening temperature, half
Ball temperature and flowing temperature；The ash component data include SiO2、Al2O3, MgO and K2O production quantity.
4. a kind of coal mixing combustion optimization system based on more coals according to claim 2, which is characterized in that coal blending optimizing
Unit (13) determines that the optimal mixed-fuel burning proportion of each coal is realized especially by such as under type:
(a) coal blending overall cost model is established:
Fmin=α1Fa+α2Fb+α3Fc,
Wherein, FaFor safety cost, FbFor economy cost, FcFor feature of environmental protection cost；
(b) constraint function is established:
Calorific value constraint:
Sulfur constraint:
Volatile matter constraint: VA≤V≤VB,
Moisture constraint: M=fM(Xi,Mi)≤MB, M≤MB,
Ash content constraint: AA≤ A=fA(Xi,Ai)≤AB, AA≤A≤VB,
Softening temperature constraint: T=fT(Xi,Qi)≥TA, T >=TA,
Wherein, Q is the fever total amount of Coal Blending Schemes, XiFor the mixed-fuel burning proportion of i-th kind of coal, n is total of coal in Coal Blending Schemes
Number, QiFor the calorific value of i-th kind of coal, QAAnd QBThe lower and upper limit of fever total amount are corresponded to, S is total sulfur of Coal Blending Schemes, Si
For the sulfur of i-th kind of coal, SBFor the sulfur upper limit, V is the total volatile content of Coal Blending Schemes, VAAnd VBCorrespond to volatile matter lower limit and
The upper limit, M are the total moisture of Coal Blending Schemes, MBFor the moisture upper limit, A is the total ash of Coal Blending Schemes, AAAnd ABIt corresponds under ash content
Limit and the upper limit, T are the softening temperature of Coal Blending Schemes, TAFor softening temperature lower limit；
(c) with FminMinimum target is taken, is iterated the optimal mixed-fuel burning proportion that optimization determines each coal in conjunction with constraint function.
5. a kind of coal mixing combustion optimization system based on more coals according to claim 4, which is characterized in that
Safety cost FaSpecifically:
Wherein, gq[f (x)] indicates to guarantee the safety cost of mixed coal index q safety, and g (x) indicates the variation letter of mixed coal index q
Number, indicates mixed coal natural characteristic index when q=1, and when q=2 indicates the comprehensive slagging index of mixed coal, and when q=3 indicates mixed coal calorific value；
Economy cost FbSpecifically:
Wherein, XiFor the mixed-fuel burning proportion of i-th kind of coal, PiFor the composite price of i-th kind of coal, n is the total of coal in Coal Blending Schemes
Number；
Feature of environmental protection cost FcSpecifically:
Wherein, gf[f (x)] indicates the discharge costs of f emission, and f (x) indicates the emission performance function of f emission, table when f=1
Show NOxEmission, when f=2, indicate SO2Emission, when f=3, indicate SO2Dust emission object.
6. a kind of coal mixing combustion optimization system based on more coals according to claim 1, which is characterized in that the pot
Furnace burning on-line operation optimization module (2) include:
Coal quality automatically analyzes unit (21): the unit automatically analyzes coal data, the coal quality according to determining Coal Blending Schemes
Data include coal quality flammability, burnout rate and fuel conversion factor；
Coal quality is manually entered unit (22): the unit is manually entered coal data, the coal quality according to determining Coal Blending Schemes
Data include coal quality flammability, burnout rate and fuel conversion factor；
Boiler operatiopn monitoring unit (23): the unit real-time monitoring boiler operatiopn state, including boiler controller system performance indicator, SOFA
Wind aperture, air preheater fume side differential pressure and denitration desulphurization system parameter；
Running optimizatin unit (24): the unit automatically analyzes the coal data or coal quality hand that unit (21) automatically analyzes according to coal quality
The boiler operatiopn state of dynamic typing unit (22) coal data being manually entered and real-time monitoring is minimum with boiler combustion cost
Boiler combustion status is optimized for target.
7. a kind of coal mixing combustion optimization system based on more coals according to claim 6, which is characterized in that boiler combustion
State optimization specifically includes boiler SCR import oxygen amount, SOFA throttle opening, burner pivot angle and optimizes and revises.
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Application publication date: 20190222 |