CN110486749A - A kind of thermal power unit boiler optimized control method of combustion and system - Google Patents
A kind of thermal power unit boiler optimized control method of combustion and system Download PDFInfo
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Abstract
This application involves a kind of thermal power unit boiler optimized control method of combustion of and systems, comprising: (1) is analyzed and processed to history data, obtains steady-state operation data set；(2) data mining is carried out to steady-state operation data set, obtains the history optimal combustion efficiency of boiler under different load operating condition, determines the burning optimization reference value of boiler；(3) combustion test data are analyzed and processed, establish boiler combustion model；(4) real-time running data is analyzed and processed, obtains the real-time dynamic operation data set of the boiler different times of running；(5) real-time running data is optimized using optimizing algorithm, obtains real-time control increment；(6) operation control benchmark and real-time control increment are overlapped, obtain combustion control instruction, on-line correction is carried out to the operating status of boiler combustion.Boiler combustion optimization of the present invention controls adaptable, applied widely, solves the problems, such as that the scalability of boiler combustion control and adaptability are weak.
Description
Technical field
The application belongs to information and control technology field, more particularly, to a kind of thermal power unit boiler combustion control side
Method and system.
Background technique
China's energy resource structure successive optimization further strengthens promotion and its emission to fired power generating unit efficiency and flexibility
Improvement etc. require.Therefore, unit operation efficiency improves there is an urgent need to excavate the potentiality of unit operation in electricity power enterprise, reduces dirty
Object discharge is contaminated, production cost is reduced, to improve enterprise competitiveness.
To realize above-mentioned target, boiler combustion optimization technology is a kind of desirable scheme.It mainly include equipment, operation,
Three levels: (one) are controlled, by the firing optimization for realizing boiler to the transformation of the equipment such as burner, air door, heating surface；
(2), by the important parameter of on-line checking boiler combustion, operations staff is instructed to adjust boiler combustion；(3), it is controlled in distribution
On the basis of system (DCS) processed, the burning optimization of boiler is realized by using advanced control algorithm or artificial intelligence technology.
Although Burning Adjustment Test can individual plants to unit and operating point substantially optimized, cannot be right
Integral combustion operating condition carries out system control, and experimental condition (limit load such as steady in a long-term) is often difficult to meet.And from control
Level, which optimizes, not to be needed to carry out any transformation to boiler plant, can make full use of boiler history data, burning examination
Data and original DCS control logic are tested, bonded boiler real-time running state data and advanced control algorithm carry out unit automatic
Flexible modulation can not only reduce the frequent operation of operations staff, and can make unit in broader load operating range
Safe and efficient, environmentally friendly operation.Thus, the burning optimization automatic control technology of data-driven has that small investment, risk be small, effect
Clear advantage has very big researching value and application potential.
Currently, opening often through equipment such as adjusting main air intake, secondary air register, pressure fan blades in DCS control logic
Spend realize disintegrating outlet temperature, to powder rate, air output, oxygen amount etc. burning key parameter closed-loop control, setting value is often
It is determined according to boiler factory's design parameter or boiler test parameter, these parameters can change with unit longtime running.
The research of burning optimization Advanced Control Techniques is also developed in recent years, but these achievements are primarily upon boiler combustion
The modeling of burning process and optimization method, inadequate to the producing level of boiler combustion related data, scalability and adaptability is not strong.
Summary of the invention
The technical problem to be solved by the present invention is to solve thermal power unit operation low efficiency in the prior art, boiler combustion
The high problem of pollutant emission, and the scalability to boiler combustion control and the not strong problem of adaptability at present provide
A kind of thermal power unit boiler optimized control method of combustion and system.
The technical solution adopted by the present invention to solve the technical problems is: a kind of thermal power unit boiler combustion control side
Method includes the following steps:
Step 1: collecting history data, combustion test data and the real-time running data of thermal power unit boiler burning；
Step 2: history data being analyzed and processed, corresponding boiler combustion effect of each history run moment is calculated
Rate, while the stable state detection of boiler combustion process is carried out, boiler operating parameter is obtained, to obtain boiler in different history runs
Moment corresponding steady-state operation data set；
Step 3: data mining being carried out to the steady-state operation data set, obtains the history of boiler under different load operating condition
Optimal combustion efficiency, the corresponding boiler operatiopn state data of the history optimal combustion efficiency are the burning optimization benchmark of boiler
Reference value；
Step 4: combustion test data being analyzed and processed, the test data set of boiler operatiopn are extracted, according to described
Test data set and steady-state operation data set, establish boiler combustion model；
Step 5: the real-time running data of boiler combustion being analyzed and processed, the real-time efficiency of combustion of boiler is calculated, obtains
To the boiler different times of running corresponding real-time dynamic operation data set；
Step 6: according to real-time dynamic operation data set and boiler combustion model, using optimizing algorithm to real-time running data
It optimizes, obtains the real-time control increment in boiler combustion optimization control process；
Step 7: after the operation control benchmark and real-time control increment obtain to step 3 and step 6 is overlapped, being fired
Optimal control instruction is burnt, to carry out on-line correction to the real-time running state data of boiler combustion in unit running process.
Further, it according to thermal power unit boiler optimized control method of combustion provided by the present application, in step 2, including adopts
The stable state detection of boiler combustion process is carried out with piecewise curve-fitting method.
Further, according to thermal power unit boiler optimized control method of combustion provided by the present application, in step 2 and step 5,
The efficiency of combustion of boiler includes using heat loss method in line computation, specifically:
η=100-q2-q3-q4-q5-q6
Wherein, η is the efficiency of combustion of boiler；
q2For heat loss due to exhaust gas；
q3For the imperfect combustion heat loss of chemistry；
q4For Mechanical adsorption；
q5For boiler radiation loss；
q6For heat loss due to sensible heat in slag.
Further, according to thermal power unit boiler optimized control method of combustion provided by the present application, in step 4, boiler combustion
The modeling method for burning model includes using using radial basis function as the modeling method of the least square method supporting vector machine of kernel function.
Further, according to thermal power unit boiler optimized control method of combustion provided by the present application, boiler combustion model
Input variable includes unit load, fuel ash, fuel volatile matter, low heat valve, environment temperature, oxygen amount, primary wind pressure, each
Layer secondary air register aperture, each layer after-flame throttle opening；Boiler combustion model output variable is boiler combustion efficiency, denitration entrance
NOx concentration and blower general power.
Further, according to thermal power unit boiler optimized control method of combustion provided by the present application, in the step 4, if
Inhibit big impulse disturbances, then Real-Time Filtering is carried out using limit filtration method or median filtering method；To inhibit high frequency by a small margin
Noise then carries out Real-Time Filtering using arithmetic mean method or moving average method or weighted moving average or first-order lag method.
Further, described to seek in step 6 according to thermal power unit boiler optimized control method of combustion provided by the present application
Excellent algorithm includes particle swarm algorithm, ant group algorithm and genetic algorithm.
Present invention also provides a kind of thermal power unit boiler combustion control systems, comprising:
Data collection module, for collecting history data, combustion test data and the reality of thermal power unit boiler burning
When operation data；
History data processing module, for being analyzed and processed to history data, when calculating each history run
Corresponding boiler combustion efficiency is carved, while carrying out the stable state detection of boiler combustion process, obtains boiler in different history runs
Carve corresponding steady-state operation data set；
Combustion test data processing module extracts boiler operatiopn for being analyzed and processed to combustion test data
Test data set establishes boiler combustion model according to the test data set and steady-state operation data set；
Real-time running data processing module calculates the real-time combustion of boiler for being analyzed and processed to real-time running data
Efficiency is burnt, the boiler different times of running corresponding real-time dynamic operation data set is obtained；
Optimization processing module obtains boiler combustion optimization control process for optimizing processing to real-time running data
In real-time control increment；
On-line correction module, for issue combustion control instruction, in unit running process boiler combustion it is real-time
Running state data carries out on-line correction.
The beneficial effects of the present invention are: the method for the present invention makes full use of boiler stable state and dynamic operation information, it is not limited to
Specific stable state detection, data processing, model construction and algorithm optimization technology, are suitable for opposed firing burning, quadrangle tangential circle
The boiler of the different burning patterns such as burning, W flame burning, can carry out the full load range under unit accidental conditions excellent
Change.The method of the present invention both can be used for vehicle air-conditioning, can be used for off-line operation reference.
Detailed description of the invention
The technical solution of the application is further illustrated with reference to the accompanying drawings and examples.
Fig. 1 is the method flow diagram of the embodiment of the present application；
Fig. 2 is the boiler combustion efficiency of the embodiment of the present application and the relational graph of load；
Fig. 3 is the oxygen amount of the embodiment of the present application and the relational graph of load；
Fig. 4 is the main interface display schematic diagram of the combustion control system of the embodiment of the present application.
Specific embodiment
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.
It is described in detail the technical solution of the application below with reference to the accompanying drawings and in conjunction with the embodiments.
Embodiment
The present embodiment provides a kind of thermal power unit boiler optimized control method of combustion, as shown in Figure 1, comprising:
Step 1: multi-source data is collected
Collect history data, combustion test data and the real-time running data of thermal power unit boiler operation；
Step 2: establishing steady-state operation data set
According to the history data that thermal power unit boiler is run, different history run moment t are calculatedi(i=1,2,
3 ...) corresponding boiler combustion efficiency；
Meanwhile stable state detection is carried out to thermal power unit boiler operational process, it is corresponding steady to obtain the different history run moment
State operation data collectionThe scale of steady-state operation data set with fired power generating unit long-term fortune
It goes and is continuously increased.
It include different history run moment t in the steady-state operation data setiThe regulated variable of corresponding receivable instructionNon-adjustable quantity of stateWith different history run moment tiCorresponding boiler combustion efficiency
Step 3: establishing boiler combustion optimization and control benchmark
Data mining is carried out to corresponding steady-state operation data set of different history run moment, obtains different load operating condition
Under, the history optimal combustion efficiency of boiler obtains the corresponding boiler operatiopn state data point of optimal combustion efficiency, the boiler fortune
Moment where row status number strong point, corresponding boiler operatiopn state data were boiler combustion optimization reference value, obtained boiler
Burning optimization datum curve, to obtain the control benchmark of boiler combustion optimization control；
Step 4: establishing boiler combustion model
According to the combustion test data of boiler, data processing is carried out to combustion test data first, extracts boiler operatiopn
Test data set establish boiler combustion model then in conjunction with steady-state operation data set.
With the continuous variation of the longtime running and operating condition of fired power generating unit, the history stable state of long-term accumulation is utilized
Data set irregularly can carry out adaptive training and update to boiler combustion model, realize the iteration building of boiler combustion model
With it is perfect.
Step 5: establishing the real-time dynamic operation data set of boiler
The real-time running data of real-time collecting thermal power unit boiler carries out Real-Time Filtering to real-time running data, and calculates
The real-time efficiency of combustion of boiler obtains different time of running tj(j=1,2,3 ...) corresponding real-time dynamic operation data set
It wherein, include different time of running t in the real-time dynamic operation data setjCorresponding receivable instruction can modulation
AmountNon-adjustable quantity of stateWith different time of running tjCorresponding boiler combustion efficiency
Step 6: the optimization of real-time running state parameter
In conjunction with real-time dynamic operation data set and boiler combustion model, using optimizing algorithm, to real-time dynamic operation data
The real-time running state parameter of concentration optimizes, and obtains the real-time control increment of boiler combustion optimization control.
The optimizing algorithm of the present embodiment uses particle swarm algorithm, in other embodiments, ant group algorithm can also be used, heredity is calculated
Method etc..
The objective function of optimizing algorithm includes boiler combustion efficiency, the nitrous oxides concentration of denitration entrance, major blower function
Consumption.When being optimized to real-time running state parameter, according to the size of weight in objective function, using boiler combustion efficiency as
Main target of optimization, the nitrous oxides concentration discharge of denitration entrance and blower power consumption are as secondary optimization aim.
Step 7: real-time running state on-line correction
The control benchmark and real-time control increment control the boiler combustion optimization that step 3 and step 6 obtain is overlapped
Afterwards, combustion control instruction is obtained, to carry out to the real-time running state data of boiler combustion in unit running process
Line correction.
The combustion control of the present embodiment instructs, and on the one hand can put into combustion control mode in fired power generating unit
Afterwards, on-line correction is carried out to the real-time running state data of boiler during thermal power unit operation, on the other hand may be displayed on
Picture is run, the control reference as operation operator.
Combustion control mode investment condition includes that power supply is normal, signal of communication is normal, regulated variable is in auto state, quilt
Equipment fault-free, load is adjusted to be higher than steady combustion condition, RUN BACK event does not occur；It, will be automatic when any of the above-described condition is unsatisfactory for
Exit combustion control mode.
In a further embodiment, the steadily state of boiler combustion process is carried out in step 2 using stable state detection technique
Detection, optional steady state detecting method for use have three classes: (1) based on the steady state detecting method for use of statistical theory；(2) based on trend abstraction
Steady state detecting method for use；(3) based on the steady state detecting method for use of Analysis on Mechanism.
The calculation method of boiler combustion efficiency, can be used heat loss in one of the embodiments, in step 2 and step 5
Method is in line computation boiler combustion efficiency.
The input variable that boiler combustion efficiency calculates includes: smoke evacuation excess air coefficient, exhaust gas temperature, atmospheric reference temperature
Degree, the concentration of emission of CO, combustion applied lower calorific value, As-received ash content, flying dust account for the share into the total ash quantity of furnace, slag amount
Account for the share into the total ash quantity of furnace, unburned carbon in flue dust, boiler slag carbon content, boiler rated load, boiler actual load, flying dust specific heat
Slag temperature, the oxygen content in exhaust gas that appearance, clinker specific heat capacity, burner hearth are discharged.
As one embodiment, step 4 further can establish boiler combustion mould using the modeling method of artificial neural network
Type.Wherein, BP network or RBF network or ART network or Hopfield network or convolutional network can be used in artificial neural network.Its
In his embodiment, can also be used support vector machines or obscurity model building, the support vector machines can be used common support vector machines or
Least square method supporting vector machine；Mamdani fuzzy model or T-S fuzzy model can be used in the obscurity model building.
As the embodiment advanced optimized, the Real-Time Filtering needs that real-time running data carries out are directed in step 5
Different fluctuating ranges and the parameter of wave time carry out the adjustment of appropriateness.In the present embodiment, to overcome big impulse disturbances, using limit
Width filter method carries out Real-Time Filtering, and median filtering method also may be selected in other embodiments；To inhibit high-frequency noise by a small margin, selection
Moving average method carries out Real-Time Filtering, and arithmetic mean method or weighted moving average also may be selected in other embodiments or single order is stagnant
Method carries out Real-Time Filtering afterwards.
Below by taking certain 600MW coal unit boiler combustion system as an example, to the boiler combustion optimization control method of the application
It is further detailed:
The boiler combustion system of the present embodiment is opposed firing combustion system, and each point of three layer arrangement 12 of forward and backward wall is low
Nitrogen burner.In forward and backward wall top layer common phase to being disposed with 12 fire air nozzles.Pulverized coal preparation system is designed as six medium-speed pulverizers,
Every is ground one layer of burner of corresponding front wall or rear wall.
According to combustion control framework shown in FIG. 1, Some Key Technologies are placed outside in independent controller, are passed through
Reliable fashion and DCS carry out data communication, to realize combustion control function.
The optimal control method of the present embodiment is specific as follows:
Step 1, the foundation of steady-state operation data set
To in the treatment process of history data, examined using the stable state that piecewise curve-fitting method carries out boiler combustion process
It surveys, can preferably overcome the influence of data noise.
Different history run moment corresponding boiler combustion efficiency is calculated by history data, is carrying out boiler combustion
Before efficiency calculation, it is filtered using the sliding averaging method of different time scales first.
Through the above steps, boiler steady-state operating condition data set, the regulated variable of steady-state operating condition data set are obtained
Including each layer secondary air register aperture, after-flame throttle opening, burner pivot angle, Coal pulverizer state, oxygen amount, each layer coal-supplying amount,
Primary wind pressure, primary air flow, bellows differential pressure, pulverizer outlet temperature.
The non-adjustable quantity of state of steady-state operating condition data includes unit load, coal quality parameter, environment temperature, furnace outlet
Temperature, main steam temperature, main steam flow, main steam pressure, reheat steam temperature, reheated steam pressure.
For the present embodiment using heat loss method in line computation boiler combustion efficiency, calculation formula is as follows:
η=100-q2-q3-q4-q5-q6
q2=(k1+k2αpy)(tpy-tref)/100
q3=k3Φ(CO)/9Net, ar
In formula: η is boiler combustion efficiency；
q2For heat loss due to exhaust gas；
q3For the imperfect combustion heat loss of chemistry；
q4For Mechanical adsorption；
q5For boiler radiation loss；
q6For heat loss due to sensible heat in slag, %；
k1、k2For coefficient, for bituminous coal and anthracite, k1=0.4, k2=3.55, for lignite, k1=1.0, k2=3.7；
αpyFor excess air coefficient of discharging fume；
tpyFor exhaust gas temperature；
trefFor atmospheric reference temperature, DEG C；
k3For coefficient；
Φ (CO) is the concentration of emission of CO, %；
Qnet,arTo fire applied lower calorific value, kJ/kg；
AsdFor As-received ash content, %；
αfhAnd αlzRespectively flying dust and slag amount account for the share into the total ash quantity of furnace；
Cfh,cAnd Clz,cRespectively unburned carbon in flue dust and boiler slag carbon content, %；
qeFor the radiation loss under boiler rated load, %；
DedFor boiler rated load；
D is boiler actual load, MW；
cfhFor and clzRespectively flying dust specific heat capacity and clinker specific heat capacity, kJ/ (kgK)；
tlzFor burner hearth discharge slag temperature, DEG C；
Φ(O2) it is oxygen content in exhaust gas, %.
Oxygen content in exhaust gas Φ (O2) calculation formula it is as follows:
In formula: △ is air preheater air leakage rate, %；Φeco(O2) it is oxygen content at economizer outlet, %.
Step 2, boiler combustion optimization controls benchmark
Longtime running data based on certain unit, as fig. 2 shows the relationship of its boiler combustion efficiency and load.As it can be seen that
With the increase of load, boiler combustion efficiency is in the variation tendency fallen after rising, and reaches highest in shoulder load.Along this figure
Highest boiler combustion efficiency under the available different load operating condition of the coenvelope line of data point, and then can determine transports boiler
The optimal data point of row, each status data at moment is burning optimization state reference value where these data points.
Coal quality identification: nearly 2 years all coal qualities test data are counted first, by association analysis excavate with
The relevant primary operating parameter of coal quality (such as load, Stream temperature, main vapour pressure, main steam flow, fire box temperature, exhaust gas temperature), will
Coal quality is divided into more than ten sample patterns, and establishes coal quality identification module based on sample pattern collection.In the process of running, if identification
Coal quality parameter in sample pattern is input to efficiency calculation automatically by the parameter similar in coal quality parameter and certain sample out, system
In formula；If the coal quality parameter picked out all differs too big with the parameter in each sample, system can select immediate sample therewith
This coal quality parameter input efficiency calculation formula, and Novel coal sample alarm is issued, operations staff's confirmation is reminded, when all samples of confirmation
When parameter and new test report are not inconsistent, need manually by the Parameters Input Unit in test report, system automatically updates sample mould
Type collection.
The feature for picking out boiler from historical data by improving the methods of least square method, maximum-likelihood method runs shape
State and coal information is used, on this basis on-line tuning boiler combustion process.First, passing through association load, main vapour pressure, furnace
Bore temperature, feeder outlet temperature, calculates the data such as coal consumption at exhaust gas temperature, and boiler can be used to coal and be recognized as several features
Model corrects the controlled variables such as coal-supplying amount, primary air flow, disintegrating outlet temperature with this.Second, (such as by boiler operatiopn major parameter
Load, main vapour pressure), it can be determined that it opens, stop the opportunity of coal pulverizer and the combustion stability of high and low load, and then adjust burning
Optimal Parameters and limit value.Third, bonded boiler operating status (such as wind pressure), pre- by the power loss and sky of analyzing major blower
Device imports and exports differential pressure, can judge the operating status and air preheater stopping state of major blower respectively.
If Fig. 3 shows the relationship of its oxygen amount and load, it can be seen from the figure that with the increase of load, under oxygen amount is in
Drop trend, and fall is by turning greatly small, (3%~4%) held stationary in a certain range after load is higher than 500MW.
Coal quality can be not only recognized by data mining, it can also be according to historical high efficiency of combustion number under each load condition
Strong point obtains burning optimization datum curve, determines the control benchmark of boiler combustion optimization control.
Step 3: establishing boiler combustion model
It uses and is modeled by LSSVM (least square method supporting vector machine) method of kernel function of radial basis function.
Mode input variable includes unit load, fuel ash, fuel volatile matter, low heat valve, environment temperature, oxygen
Amount, primary wind pressure, each layer secondary air register aperture, each layer after-flame throttle opening etc..
Model output variable is boiler combustion efficiency, denitration inlet NOx concentration, blower general power.
Using the history steady state data collection of long-term accumulation, adaptive training and the update of model can be irregularly carried out.
Step 4: the optimization of real-time running state parameter
When carrying out real-time running state parameter optimization, the size according to weight in objective function makees boiler combustion efficiency
For main target of optimization, NOx emission and blower power consumption are as secondary optimization aim.Optimization method is based on standard particle group and optimizes calculation
Method is successively decreased processing as the increase of the number of iterations carries out quadratic form to rate inertia weight (0.4-0.9), local accelerated factor
(from big to small) and the linear change section of global accelerated factor (from small to large) is (0.5,2.5), the initial position base of particle
Corresponding chaos sequence is mapped in Logistic.
In addition, carry out amplitude limiting processing for the obtained real-time control increment of optimization, clipping range with realtime power increasing
Add and increases.
Step 5, real-time running state on-line correction
After the control benchmark of boiler combustion optimization control and real-time control increment are overlapped, combustion control is obtained
Instruction, is instructed by combustion control, on the one hand can be after putting into combustion control mode, by no-harass switch module
It is output to safety control module in fortune control system, the real-time running state data of boiler in unit running process is carried out
Line correction, on the other hand may be displayed on operation picture, the control reference as operation operator.
Above-mentioned combustion control mode investment condition includes that power supply is normal, signal of communication is normal, regulated variable is in automatic shape
State is higher than steady combustion condition by tune equipment fault-free, load, RUN BACK event does not occur；It, will when any of the above-described condition is unsatisfactory for
Automatically exit from burning optimization.Wherein, the Rule of judgment of signal of communication exception include 0/1 " heartbeat " signal dwell time long enough,
It should continue signal retention time long enough, the hardware fault signal of variation.When intersystem communications occurs abnormal, first will need
It is output to from combustion optimizing system and is kept in the signal for transporting control system, in order to avoid by the key instruction in fortune control system
Accidentally it is set to zero.
Above-mentioned no-harass switch refers to investment or exits combustion control mode moment, and the jump of control instruction cannot occur；
This aspect needs to guarantee the continuity of signal between above system, on the other hand mutual using manual command and automatic command
The logic control mode of tracking.
Above-mentioned safety control module refers in the control logic of real-time control system will be to inputting from combustion optimizing system
Command signal carries out incremental amplitude limitation and rate of change limitation, to prevent from controlling improper caused unstability risk of burning.
Fig. 4 is the key frame of combustion control, shows that each secondary air register is opened according to the layout in burner hearth in picture
The parameters such as degree and its corresponding coal-supplying amount, air quantity.Above picture, oxygen amount, boiler efficiency, denitration in/out are on the one hand shown
Mouth NOx concentration, the optimization target values and actual value of CO concentration of emission, for operations staff's reference；On the other hand show air quantity,
The boiler combustions major parameters such as coal consumption, blower power consumption, to reflect boiler combustion operating status in real time.
In addition, " input and output ", " parameter configuration ", " Optimal Curve " each layer air door icon and excellent can be clicked in picture
Change the dynamics legends such as button, to enter specific operation panel or picture.
It is enlightenment with the above-mentioned desirable embodiment according to the application, through the above description, relevant staff is complete
Full various changes and amendments can be carried out in the range of without departing from this item application technical idea.The technology of this item application
Property range is not limited to the contents of the specification, it is necessary to which the technical scope thereof is determined according to the scope of the claim.
It should be understood by those skilled in the art that, embodiments herein can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the application, which can be used in one or more,
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces
The form of product.
The application is referring to method, the process of equipment (system) and computer program product according to the embodiment of the present application
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
Claims (8)
1. a kind of thermal power unit boiler optimized control method of combustion, which comprises the steps of:
Step 1: collecting history data, combustion test data and the real-time running data of thermal power unit boiler burning；
Step 2: history data being analyzed and processed, calculates corresponding boiler combustion efficiency of each history run moment, together
The stable state of Shi Jinhang boiler combustion process detects, and boiler operating parameter is obtained, to obtain boiler at the different history run moment
Corresponding steady-state operation data set；
Step 3: data mining being carried out to the steady-state operation data set, the history for obtaining boiler under different load operating condition is optimal
Efficiency of combustion, the corresponding boiler operatiopn state data of the history optimal combustion efficiency are the burning optimization reference of boiler
Value；
Step 4: combustion test data being analyzed and processed, the test data set of boiler operatiopn is extracted, according to the test
Data set and steady-state operation data set, establish boiler combustion model；
Step 5: the real-time running data of boiler combustion being analyzed and processed, the real-time efficiency of combustion of boiler is calculated, obtains pot
The furnace difference time of running corresponding real-time dynamic operation data set；
Step 6: according to real-time dynamic operation data set and boiler combustion model, real-time running data being carried out using optimizing algorithm
Optimization, obtains the real-time control increment in boiler combustion optimization control process；
Step 7: after the operation control benchmark and real-time control increment for obtain step 3 and step 6 are overlapped, obtaining burning excellent
Change control instruction, to carry out on-line correction to the real-time running state data of boiler combustion in unit running process.
2. thermal power unit boiler optimized control method of combustion according to claim 1, which is characterized in that in step 2, including
The stable state detection of boiler combustion process is carried out using piecewise curve-fitting method.
3. thermal power unit boiler optimized control method of combustion according to claim 1, which is characterized in that step 2 and step 5
In, the efficiency of combustion of boiler includes using heat loss method in line computation, specifically:
η=100-q2-q3-q4-q5-q6
Wherein, η is the efficiency of combustion of boiler；
q2For heat loss due to exhaust gas；
q3For the imperfect combustion heat loss of chemistry；
q4For Mechanical adsorption；
q5For boiler radiation loss；
q6For heat loss due to sensible heat in slag.
4. thermal power unit boiler optimized control method of combustion according to claim 3, which is characterized in that in step 4, boiler
The modeling method of combustion model includes using using radial basis function as the modeling method of the least square method supporting vector machine of kernel function.
5. thermal power unit boiler optimized control method of combustion according to claim 4, which is characterized in that boiler combustion model
Input variable include unit load, fuel ash, fuel volatile matter, low heat valve, environment temperature, oxygen amount, primary wind pressure,
Each layer secondary air register aperture, each layer after-flame throttle opening；Boiler combustion model output variable is boiler combustion efficiency, denitration entrance
NOx concentration and blower general power.
6. thermal power unit boiler optimized control method of combustion according to claim 1, which is characterized in that in the step 4,
To inhibit big impulse disturbances, then Real-Time Filtering is carried out using limit filtration method or median filtering method；To inhibit high by a small margin
Frequency noise then carries out Real-Time Filtering using arithmetic mean method or moving average method or weighted moving average or first-order lag method.
7. thermal power unit boiler optimized control method of combustion according to claim 1, which is characterized in that described in step 6
Optimizing algorithm includes particle swarm algorithm, ant group algorithm and genetic algorithm.
8. a kind of burning optimization control using the thermal power unit boiler optimized control method of combustion as described in claim any one of 1-7
System processed, which is characterized in that the combustion control system includes:
Data collection module, for collecting history data, combustion test data and the real-time fortune of thermal power unit boiler burning
Row data；
History data processing module calculates each history run moment pair for being analyzed and processed to history data
The boiler combustion efficiency answered, while the stable state detection of boiler combustion process is carried out, boiler is obtained at the different history run moment pair
The steady-state operation data set answered；
Combustion test data processing module extracts the test of boiler operatiopn for being analyzed and processed to combustion test data
Data set establishes boiler combustion model according to the test data set and steady-state operation data set；
Real-time running data processing module calculates the real-time burning effect of boiler for being analyzed and processed to real-time running data
Rate obtains the boiler different times of running corresponding real-time dynamic operation data set；
Optimization processing module obtains in boiler combustion optimization control process for optimizing processing to real-time running data
Real-time control increment；
On-line correction module, for issuing combustion control instruction, to the real time execution of boiler combustion in unit running process
Status data carries out on-line correction.
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