CN102679391A - Combustion online optimizing method of boiler - Google Patents
Combustion online optimizing method of boiler Download PDFInfo
- Publication number
- CN102679391A CN102679391A CN2012101574377A CN201210157437A CN102679391A CN 102679391 A CN102679391 A CN 102679391A CN 2012101574377 A CN2012101574377 A CN 2012101574377A CN 201210157437 A CN201210157437 A CN 201210157437A CN 102679391 A CN102679391 A CN 102679391A
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- Prior art keywords
- boiler
- combustion
- parameter
- optimization
- line optimization
- Prior art date
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- 238000002485 combustion reaction Methods 0.000 title claims abstract description 21
- 238000005457 optimization Methods 0.000 claims abstract description 25
- OKTJSMMVPCPJKN-UHFFFAOYSA-N carbon Chemical compound data:image/svg+xml;base64,<?xml version='1.0' encoding='iso-8859-1'?>
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Abstract
The invention discloses a combustion online optimizing method of a boiler. The combustion online optimizing method comprises the following steps of: monitoring real-time operation parameters of the boiler through a unit, recording and determining the real-time operation parameters; then comparing the real-time operation parameters, providing an optimal value curve guidance; then establishing a combustion characteristic optimization mathematical model of the boiler by adopting an artificial intelligent neutral network technology; optimizing the combustion characteristic of the boiler by using a genetic algorithm or simulated annealing method; and finally, storing the combustion optimization parameter as a long-term trend data, and carrying out accumulated monitoring and storing on a parameter with an accumulation effect. Through the mode, according to the invention, the economy of the operation of the boiler can be improved, the NOx discharge can be reduced by 20-30 percent after the combustion optimization technology is adopted, the exhaust gas temperature is reduced, the unburned carbon in flue dust is lowered, the efficiency of the boiler is increased, various kinds of loss are reduced, and the efficiency of the whole unit is increased.
Description
Technical field
The present invention relates to boiler information Control field, particularly relate to a kind of boiler combustion method for on-line optimization.
Background technology
The power plant of China is main fuel mostly with the coal, because electric coal supply is comparatively nervous, boiler fired coal changes comparatively frequent in recent years, actually uses usually off-design value all of coal, thereby can directly influence the economy and the security of boiler operatiopn.
There are many imperfection parts in existing coal supply and Coal Blending System, and the power station burning coal is difficult to be protected in addition, along with the putting into operation of overcritical, ultra supercritical unit, the boiler combustion operation are had higher requirement simultaneously.
The burning plan of boiler is the important technical of energy-saving and emission-reduction, and it can guarantee safe, the steady and economical operation of boiler.
Summary of the invention
The technical problem that the present invention mainly solves provides a kind of boiler combustion method for on-line optimization, can improve economy, stability and the security of boiler operatiopn, and the NOx discharge capacity can descend 20% ~ 30% after the employing burning optimization technology; Exhaust gas temperature reduces; Unburned carbon in flue dust reduces, and has improved the efficient of boiler, reduces various losses; Guarantee vapour pressure, steam temperature and the quantity of steam of boiler normal and stable, improved the efficient of whole unit.
For solving the problems of the technologies described above, the technical scheme that the present invention adopts is: a kind of boiler combustion method for on-line optimization is provided, comprises the steps:
A, the real time execution parameter of boiler is monitored, and parameter is write down definite through unit;
B, parameter is compared, and provide the optimal value curve to instruct;
C, the combustion characteristics that adopts the artificial intelligence nerual network technique to set up boiler are optimized Mathematical Modeling;
D, utilize genetic algorithm or simulated annealing that the combustion characteristics of boiler is optimized;
E, the burning optimization parameter is preserved as the long-term trend data, and the parameter with cumulative effect add up monitoring and stores.
In preferred embodiment of the present invention, said modeling pattern also adopts the support vector machine technology.
In preferred embodiment of the present invention, the test method that adopts in the said modeling is an Orthogonal Method.
In preferred embodiment of the present invention, the data of gathering in the said modeling process are structural value of being evenly distributed and quantitative equal equivalence.
In preferred embodiment of the present invention, the real time execution parameter of said boiler comprises the load, coal, the main air intake wind speed of each layer, the secondary air register wind speed and the after-flame throttle opening of each layer of boiler.
In preferred embodiment of the present invention, the combustion characteristics optimal value of said boiler comprises the main air intake wind speed optimal value of NOx discharge value, each layer, secondary air register wind speed optimal value, after-flame throttle opening optimal value and the oxygen amount optimal control value of each layer.
In preferred embodiment of the present invention, the NOx combustion process of said boiler is the iterations curve.
The invention has the beneficial effects as follows: boiler combustion method for on-line optimization of the present invention can improve economy, stability and the security of boiler operatiopn; The NOx discharge capacity can descend 20% ~ 30% after adopting the burning optimization technology, and exhaust gas temperature reduces, and unburned carbon in flue dust reduces; Improved the efficient of boiler; Reduce various losses, guarantee vapour pressure, steam temperature and the quantity of steam of boiler normal and stable, improved the efficient of whole unit.
The specific embodiment
Set forth in detail in the face of preferred embodiment of the present invention down, thereby protection scope of the present invention is made more explicit defining so that advantage of the present invention and characteristic can be easier to it will be appreciated by those skilled in the art that.
The embodiment of the invention comprises:
A kind of boiler combustion method for on-line optimization comprises the steps:
A, the real time execution parameter of boiler is monitored, and parameter is write down definite through unit;
B, parameter is compared, and provide the optimal value curve to instruct;
C, the combustion characteristics that adopts artificial intelligence nerual network technique or support vector machine technology to set up boiler are optimized Mathematical Modeling;
D, utilize genetic algorithm or simulated annealing that the combustion characteristics of boiler is optimized;
E, the burning optimization parameter is preserved as the long-term trend data, and the parameter with cumulative effect add up monitoring and stores, can realize on-line monitoring unit equipment, can the rational work plan of Ei equipment arrangement and repair schedule reference is provided.
Among the present invention, the test method that adopts in the said modeling is an Orthogonal Method.Orthogonal Method is applicable to the test that has reciprocation and have random error between multifactor and the factor, has the advantages that workload is little, information content is abundant, and can realize each influence factor is made up short form test.
Orthogonal Method is applied in the boiler combustion optimization test, can grasp the common influence of multiple factor, through the effect of each factor of rational analysis of experiments to test index, and finds out the primary and secondary relation according to importance degree, confirms best operational factor.
The data of gathering in the said modeling process are the structural value of being evenly distributed and quantitative equal equivalence, and the data that promptly are positioned at difference in the different structure should equate or be approaching, success rate and accuracy rate that like this can guarantee test.
The real time execution parameter of said boiler comprises the load, coal, the main air intake wind speed of each layer, the secondary air register wind speed and the after-flame throttle opening of each layer of boiler.
The combustion characteristics optimal value of said boiler comprises the main air intake wind speed optimal value of NOx discharge value, each layer, secondary air register wind speed optimal value, after-flame throttle opening optimal value and the oxygen amount optimal control value of each layer.Wherein, the NOx combustion process of boiler is the iterations curve.
Among the present invention; Through adopting the modeling test method; Can realize that boiler uses the global optimization of the operational factor under different coals, the different load condition, obtain the main air intake wind speed optimal value of each layer under minimum NOx discharge value and the maximum boiler efficiency, secondary air register wind speed optimal value, after-flame throttle opening optimal value and the oxygen amount optimal control value of each layer.
The beneficial effect of boiler combustion method for on-line optimization of the present invention is:
Can improve economy, stability and the security of boiler operatiopn; The NOx discharge capacity can descend 20% ~ 30% after adopting the burning optimization technology, and exhaust gas temperature reduces, and unburned carbon in flue dust reduces; Improved the efficient of boiler; Reduce various losses, guarantee vapour pressure, steam temperature and the quantity of steam of boiler normal and stable, improved the efficient of whole unit.
The above is merely embodiments of the invention; Be not so limit claim of the present invention; Every equivalent structure or equivalent flow process conversion that utilizes description of the present invention to do; Or directly or indirectly be used in other relevant technical fields, all in like manner be included in the scope of patent protection of the present invention.
Claims (7)
1. a boiler combustion method for on-line optimization is characterized in that, comprises the steps:
A, the real time execution parameter of boiler is monitored, and parameter is write down definite through unit;
B, parameter is compared, and provide the optimal value curve to instruct;
C, the combustion characteristics that adopts the artificial intelligence nerual network technique to set up boiler are optimized Mathematical Modeling;
D, utilize genetic algorithm or simulated annealing that the combustion characteristics of boiler is optimized;
E, the burning optimization parameter is preserved as the long-term trend data, and the parameter with cumulative effect add up monitoring and stores.
2. boiler combustion method for on-line optimization according to claim 1 is characterized in that said modeling pattern also adopts the support vector machine technology.
3. boiler combustion method for on-line optimization according to claim 1 is characterized in that, the test method that adopts in the said modeling is an Orthogonal Method.
4. boiler combustion method for on-line optimization according to claim 1 is characterized in that, the data of gathering in the said modeling process are structural value of being evenly distributed and quantitative equal equivalence.
5. boiler combustion method for on-line optimization according to claim 1 is characterized in that, the real time execution parameter of said boiler comprises the load, coal, the main air intake wind speed of each layer, the secondary air register wind speed and the after-flame throttle opening of each layer of boiler.
6. boiler combustion method for on-line optimization according to claim 1; It is characterized in that the combustion characteristics optimal value of said boiler comprises the main air intake wind speed optimal value of NOx discharge value, each layer, secondary air register wind speed optimal value, after-flame throttle opening optimal value and the oxygen amount optimal control value of each layer.
7. boiler combustion method for on-line optimization according to claim 6 is characterized in that, the NOx combustion process of said boiler is the iterations curve.
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Application publication date: 20120919 |