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Intelligent combustion comprehensive optimization control method for boiler

A technology of optimal control and combustion optimization, which is applied in the directions of combustion method, controlled combustion, and adaptive control, and can solve the problems that the optimization method of boiler combustion is not well solved.

Inactive Publication Date: 2020-02-14
南京昆岳智能电力科技有限公司
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Problems solved by technology

The existing boiler combustion optimization methods based on neural network and genetic algorithm do not solve the above problems well.

Method used

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  • Intelligent combustion comprehensive optimization control method for boiler
  • Intelligent combustion comprehensive optimization control method for boiler
  • Intelligent combustion comprehensive optimization control method for boiler

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Embodiment Construction

[0051] In order to describe the technical solutions disclosed in the present invention in detail, the present invention will be further elaborated below in conjunction with the accompanying drawings and specific embodiments.

[0052] The engineering application object is a 600MW unit, and the boiler is a direct-blown pulverizing system with four-corner tangential combustion, combined with figure 1 Shown, use the concrete steps of the inventive method as follows:

[0053] Step 1: Optimize the control system and configure a workstation and a PLC, connect the data communication port of the PLC with the DCS data communication port of the unit, and use the Modbus method for data exchange; connect the communication interface of the workstation with the PLC data communication port, and use the OPC method Data exchange, establishing a two-way data communication link between the optimized control system and the DCS of the unit;

[0054] In actual engineering application, the workstati...

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Abstract

The invention discloses an intelligent combustion comprehensive optimization control method for a boiler. The intelligent combustion comprehensive optimization control method includes the steps that firstly, a two-way data communication link between an optimization control system and a unit DCS is established; then unit operation historical data are collected and acquired, a combustion optimization neural network training sample is established, and a combustion optimization neural network model is established; and finally, according to the combustion optimization neural network model, combustion parameters are optimized through a multi-target non-dominated quick-sorting genetic algorithm (NSGA-II), different optimization control decision strategies are adopted according to different operating working conditions, and thus boiler combustion closed-loop optimization control is realized. According to a neural network training sample obtaining method, the quality and modeling efficiency ofa combustion optimization model can be effectively improved; and through a provided combustion optimization algorithm based on the genetic algorithm, an operator can conveniently and effectively balance boiler efficiency and flue gas NOx emission, energy-saving and environment-friendly operation of the boiler is realized, jump of the optimized combustion parameters can be reduced, and practical application of a project is facilitated.

Description

technical field [0001] The invention belongs to the intelligent control of a thermal power unit, in particular to a boiler intelligent combustion comprehensive optimization control method. Background technique [0002] Big data and artificial intelligence are the grand strategy of national science and technology development. The construction of intelligent power plants is being actively carried out in China. The goal is to adopt advanced control strategies and technologies to achieve fine control of important process parameters and ensure safe, economical and environmentally friendly operation of the unit. . Among them, boiler combustion optimization is one of the key points in the construction of intelligent power plants, which is of great significance to the energy saving and emission reduction of thermal power units. [0003] The boiler combustion optimization method based on big data and artificial intelligence generally uses neural network and genetic algorithm technol...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F23N1/02G05B13/04
CPCF23N1/02F23N1/022G05B13/042
Inventor 雎刚
Owner 南京昆岳智能电力科技有限公司
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