基于智能算法的火电厂锅炉燃烧控制系统及系统仿真分析  

Boiler Combustion Control System of Thermal Power Plant Based on Intelligent Algorithm and System Simulation Analysis

作　　者：乔印杰 高志佳 董振广 Qiao Yinjie;Gao Zhijia;Dong Zhenguang(Henan Jingneng Huazhou Thermal Power Co.,Ltd.,Huaxian 456400,China)

机构地区：[1]河南京能滑州热电有限责任公司,河南滑县456400

出　　处：《科学技术创新》2022年第35期185-188,共4页Scientific and Technological Innovation

摘　　要：火电厂引进锅炉燃烧控制系统,除了进一步提升煤炭燃烧效率以创造更高的经济价值外,还应减少污染物的排放,确保尾气排放达到环保标准以及降低尾气中污染物的治理成本。基于遗传算法设计了锅炉燃烧控制系统,并从寻优流程设计、确定基因代码等方面,重点分析了遗传算法在锅炉燃烧控制参数寻优中的应用。最后设计仿真实验,利用锅炉燃烧稳态模型分别对飞灰含碳量和NOx浓度进行了调节控制。实验结果表明,该模型可以降低飞灰含碳量以提高锅炉燃烧效率,降低NOx浓度提高环保效益,提高了火电厂锅炉燃烧控制系统的实用价值。The introduction of boiler combustion control system in thermal power plants,in addition to further improve coal combustion efficiency to create higher economic value,should also reduce the emission of pollutants,ensure that exhaust emissions meet environmental standards and reduce the treatment cost of pollutants in exhaust.This paper designs the boiler combustion control system based on genetic algorithm,and analyzes the application of genetic algorithm in the optimization of boiler combustion control parameters from the aspects of optimization process design and gene code determination.Finally,a simulation experiment is designed to adjust and control the carbon content and NOx concentration of fly ash by using the steady-state model of boiler combustion.The experimental results show that the model can reduce the carbon content of fly ash to improve the boiler combustion efficiency,reduce the NOx concentration to improve the environmental benefits,and improve the practical value of the boiler combustion control system in thermal power plant.

关 键 词：遗传算法 火电厂 锅炉燃烧控制系统 飞灰含碳 

分 类 号：TM621.2[电气工程—电力系统及自动化]