Optimal control method for combustion of boiler

A boiler combustion and optimization control technology, applied in the field of data analysis and machine learning, can solve problems such as poor performance

Inactive Publication Date: 2015-04-22
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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  • Abstract
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  • Application Information

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Problems solved by technology

[0010] Aiming at the problem of poor performance of the current nonlinear optimization method based on the boiler combustion model, the embodiment of the present invention proposes a boiler combustion optimization control method

Method used

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  • Optimal control method for combustion of boiler
  • Optimal control method for combustion of boiler

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Embodiment Construction

[0063] Hereinafter, a preferred embodiment of the present invention will be described with reference to the attached drawings.

[0064] Collect training samples:

[0065] The thermal test is designed with orthogonal test method at the three typical load levels of 350, 300 and 250MW, and the test data has a good representative working condition. A total of 105 sets of thermal test data are selected, 90 sets are selected as training samples, and the remaining 15 sets are used as test samples. Since the boiler characteristics will change with the load, in order to improve the performance of the model, the load of the training sample must cover the operating range of the test conditions; before the model training, the sample data is normalized to the interval [?1,1].

[0066] (2) Training Least Squares Support Vector Machine (LS-SVM) model:

[0067] Least squares support vector machine has the advantages of strong generalization ability and global optimization of support vector machi...

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Abstract

The embodiment of the invention provides an optimal control method for combustion of a boiler. The method comprises the steps of selecting training samples to build a training sample set; adopting the training sample set to build a boiler combustion model on the basis of a least squares support vector machine; according to the boiler combustion model, obtaining an optimal sample set to be used as a rule base through optimization of a particle swarm or a genetic algorithm; and on the basis of the rule base, extracting a relation model between the optimal value of variable parameters of the boiler and invariable parameters of the boiler from the base through a fuzzy association rule mining algorithm, and converting the relation model into a fuzzy association rule base. The optimal control method for combustion of the boiler can control combustion of the boiler more precisely and efficiently, and the optimal value of adjustable parameters of the boiler can be found out, and therefore the boiler can be adjusted at any time to achieve the optimal efficiency.

Description

technical field [0001] The invention relates to the technical fields of data analysis and machine learning, in particular to a boiler combustion optimization control method. Background technique [0002] In the face of increasingly intensified resource and environmental constraints, energy conservation and emission reduction will always be an important part of economic development. Coal-fired boilers have always been the main power system in my country, especially in the field of thermal power generation. Therefore, how to effectively control coal-fired boilers to maximize the energy generated by coal-fired is an important aspect of energy conservation and emission reduction. part. Especially with the increasing improvement of energy-saving regulations and standards and the continuous rise of coal prices, under the dual pressure of shrinking profit margins and increasing environmental protection requirements, thermal power plants urgently need to enhance the competition of e...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F23N5/00
Inventor 赵文杰
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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