电厂锅炉燃烧系统的优化

Optimization of Combustion System in Power Plant Boilers

本文对电厂燃煤锅炉燃烧过程的建模与控制进行了研究,提出了一种通过重新分配点火来实现火焰几何形状和位置控制的方法,这种控制确保了远离锅炉壁的火焰焦点保持,从而减少燃烧副产物。此外,轧机上的均匀散热提高了锅炉的能源效率和可靠性,使用自适应参数估计方法的模型识别过程对发电厂实际锅炉的实验数据进行了详细分析。其次,本文提出了约束多元极值搜索(ES),以优化锅炉运行,从而保持炉膛中所需的火焰配置。最后,通过对实验确定的锅炉模型进行仿真,证明了ES自适应控制器在存在扰动的情况下的有效性。

This article studies the modeling and control of the combustion process of coal-fired boilers in power plants.A method was proposed to achieve flame geometry and position control by redistributing ignition.This control ensures that the flame focus away from the boiler wall is maintained,thereby reducing combustion by-products.In addition,uniform heat dissipation on the rolling mill improves the energy efficiency and reliability of the boiler.The model recognition process using adaptive parameter estimation method was analyzed in detail on experimental data of actual boilers in power plants.Secondly,this article proposes Constrained Multivariate Extreme Search(ES)to optimize boiler operation and maintain the required flame configuration in the furnace.Finally,the effectiveness of the ES adaptive controller in the presence of disturbances was demonstrated through simulation of the experimentally determined boiler model.