CN102679391A - Combustion online optimizing method of boiler - Google Patents

Combustion online optimizing method of boiler Download PDF

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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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CN
China
Prior art keywords
boiler
combustion
parameter
optimization
line optimization
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CN2012101574377A
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Chinese (zh)
Inventor
胡士超
羊建新
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常州市新港热电有限公司
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Priority to CN2012101574377A priority Critical patent/CN102679391A/en
Publication of CN102679391A publication Critical patent/CN102679391A/en

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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

The boiler combustion method for on-line optimization
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.
CN2012101574377A 2012-05-21 2012-05-21 Combustion online optimizing method of boiler CN102679391A (en)

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Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103197636A (en) * 2013-03-22 2013-07-10 广东电网公司电力科学研究院 Lower control system cooperating with combustion optimization and implementation method thereof
CN103324862A (en) * 2013-07-11 2013-09-25 中国石油大学(华东) Coal-fired boiler optimization method based on improved neural network and genetic algorithm
CN103322547A (en) * 2013-06-25 2013-09-25 西安艾贝尔科技发展有限公司 Boiler control and combustion optimization method
CN103400015A (en) * 2013-08-15 2013-11-20 华北电力大学 Composition modeling method for combustion system based on numerical simulation and test operation data
CN103488084A (en) * 2013-09-22 2014-01-01 浙江大学 System and method for controlling standardized discharging of noxious substances of pesticide incinerator through fuzzy network
CN103488145A (en) * 2013-09-22 2014-01-01 浙江大学 System and method for controlling emission of noxious substances of incinerator to reach standard based on crowd-sourcing fuzzy network
CN104035331A (en) * 2014-01-10 2014-09-10 上海白丁电子科技有限公司 Machine group operation optimization guidance system and equipment thereof
CN104750066A (en) * 2015-02-10 2015-07-01 北京华清燃气轮机与煤气化联合循环工程技术有限公司 Combustion process control and optimization system for combustion gas turbine
CN104776446A (en) * 2015-04-14 2015-07-15 东南大学 Combustion optimization control method for boiler
CN105631151A (en) * 2016-01-06 2016-06-01 陈威宇 Modeling method for pulverized coal fired boiler combustion optimization
CN105823080A (en) * 2016-03-24 2016-08-03 东南大学 Model-free boiler combustion optical control method based on numerical optimization extremum searching
CN106327021A (en) * 2016-08-31 2017-01-11 西安艾贝尔科技发展有限公司 Boiler combustion optimization air distribution method based on online model prediction
CN108426266A (en) * 2018-03-01 2018-08-21 中国神华能源股份有限公司 Boiler combustion control system and method
CN109882883A (en) * 2019-03-01 2019-06-14 北京慧辰资道资讯股份有限公司 A kind of method and device based on artificial intelligence optimization's boiler fired coal efficiency
CN110486749A (en) * 2019-08-29 2019-11-22 国网河南省电力公司电力科学研究院 A kind of thermal power unit boiler optimized control method of combustion and system

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CN102032590A (en) * 2010-12-31 2011-04-27 北京华电天仁电力控制技术有限公司 Boiler combustion optimizing control system and optimizing control method based on accurate measurement system

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Cited By (24)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103197636A (en) * 2013-03-22 2013-07-10 广东电网公司电力科学研究院 Lower control system cooperating with combustion optimization and implementation method thereof
CN103322547B (en) * 2013-06-25 2015-01-07 西安艾贝尔科技发展有限公司 Boiler control and combustion optimization method
CN103322547A (en) * 2013-06-25 2013-09-25 西安艾贝尔科技发展有限公司 Boiler control and combustion optimization method
CN103324862A (en) * 2013-07-11 2013-09-25 中国石油大学(华东) Coal-fired boiler optimization method based on improved neural network and genetic algorithm
CN103324862B (en) * 2013-07-11 2016-02-24 中国石油大学(华东) A kind of coal-burning boiler optimization method based on improving neural network and genetic algorithm
CN103400015A (en) * 2013-08-15 2013-11-20 华北电力大学 Composition modeling method for combustion system based on numerical simulation and test operation data
CN103400015B (en) * 2013-08-15 2016-05-18 华北电力大学 Based on the combustion system combining modeling method of numerical simulation and test run data
CN103488145B (en) * 2013-09-22 2015-11-04 浙江大学 The incinerator hazardous emission controls up to par system and method for gunz FUZZY NETWORK
CN103488145A (en) * 2013-09-22 2014-01-01 浙江大学 System and method for controlling emission of noxious substances of incinerator to reach standard based on crowd-sourcing fuzzy network
CN103488084B (en) * 2013-09-22 2015-09-16 浙江大学 The pesticide incinerator hazardous emission controls up to par system and method for FUZZY NETWORK
CN103488084A (en) * 2013-09-22 2014-01-01 浙江大学 System and method for controlling standardized discharging of noxious substances of pesticide incinerator through fuzzy network
CN104035331A (en) * 2014-01-10 2014-09-10 上海白丁电子科技有限公司 Machine group operation optimization guidance system and equipment thereof
CN104035331B (en) * 2014-01-10 2016-08-24 上海白丁电子科技有限公司 Unit running optimization instructs system and equipment thereof
CN104750066B (en) * 2015-02-10 2019-10-01 北京华清燃气轮机与煤气化联合循环工程技术有限公司 Gas turbine combustion process control and optimization system
CN104750066A (en) * 2015-02-10 2015-07-01 北京华清燃气轮机与煤气化联合循环工程技术有限公司 Combustion process control and optimization system for combustion gas turbine
CN104776446B (en) * 2015-04-14 2017-05-10 东南大学 Combustion optimization control method for boiler
CN104776446A (en) * 2015-04-14 2015-07-15 东南大学 Combustion optimization control method for boiler
CN105631151A (en) * 2016-01-06 2016-06-01 陈威宇 Modeling method for pulverized coal fired boiler combustion optimization
CN105823080A (en) * 2016-03-24 2016-08-03 东南大学 Model-free boiler combustion optical control method based on numerical optimization extremum searching
CN106327021A (en) * 2016-08-31 2017-01-11 西安艾贝尔科技发展有限公司 Boiler combustion optimization air distribution method based on online model prediction
CN108426266A (en) * 2018-03-01 2018-08-21 中国神华能源股份有限公司 Boiler combustion control system and method
CN108426266B (en) * 2018-03-01 2019-10-15 中国神华能源股份有限公司 Boiler combustion control system and method
CN109882883A (en) * 2019-03-01 2019-06-14 北京慧辰资道资讯股份有限公司 A kind of method and device based on artificial intelligence optimization's boiler fired coal efficiency
CN110486749A (en) * 2019-08-29 2019-11-22 国网河南省电力公司电力科学研究院 A kind of thermal power unit boiler optimized control method of combustion and system

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Application publication date: 20120919