基于ISSA-ELM-NARMAX的垃圾焚烧炉燃烧过程动态建模及多目标优化  

Dynamic Modeling and Multi-objective Optimization of Waste Incinerator Combustion Process Based on ISSA-ELM-NARMAX

作　　者：赵征[1] 刘赛恒 王金 魏强 许洪滨 ZHAO Zheng;LIU Saiheng;WANG Jin;WEI Qiang;XU Hongbin(School of Control and Computer Engineering,North China Electric Power University,Baoding 071003,Hebei Province,China;Shenzhen Energy Environment Engineering Co.,Ltd.,Shenzhen 518048,Guangdong Province,China)

机构地区：[1]华北电力大学控制与计算机工程学院,河北保定071003 [2]深圳能源环保股份有限公司,广东深圳518048

出　　处：《动力工程学报》2024年第8期1264-1271,共8页Journal of Chinese Society of Power Engineering

基　　金：深圳市科技计划资助项目(KCXFZ20201221173402007)。

摘　　要：为了实现垃圾焚烧发电机组稳定、高效、环保的有效协同,对垃圾焚烧炉燃烧过程进行了多目标优化。提出一种极限学习机(ELM)和带有外部输入的非线性自回归滑动平均模型(NARMAX)相结合的动态建模方法,并通过改进麻雀算法(ISSA)对模型参数进行优化,分别建立了垃圾焚烧炉蒸汽质量流量、锅炉效率和第一烟道温度的动态模型;并将ISSA-ELM-NARMAX模型与传统BP神经网络模型、ELM-NARMAX模型和SSA-ELM-NARMAX模型进行对比,最后基于改进非支配遗传算法(NSGA-II)对燃烧过程进行多目标优化,寻找焚烧炉最佳运行参数。结果表明:基于ISSA-ELM-NARMAX的垃圾焚烧炉燃烧过程动态模型更加精确有效,所提出的控制策略可以为焚烧炉司炉人员提供操作指导。In order to realize stable,efficient and environmentally friendly coordination of waste incinerator power generation units,multi-objective optimization was conducted for combustion process of the incinerator.A dynamic modeling method combining extreme learning machine(ELM)and nonlinear autoregressive moving average model with exogenous inputs(NARMAX)was proposed,and the parameters of the model are optimized by improved sparrow algorithm(ISSA).The dynamic models of steam flow,boiler efficiency and first flue temperature of the incinerator were established respectively.The ISSA-ELM-NARMAX model was compared with the traditional BP neural network model,ELM-NARMAX model and SSA-ELM-NARMAX model.Finally,multi-objective optimization of the combustion process was carried out to find the optimal operating parameters of the incinerator based on the improved non-dominated sorting genetic algorithm(NSGA-II).Results show that the dynamic model of combustion process of the incinerator based on ISSA-ELM-NARMAX is more accurate and effective,and the proposed control strategy can provide operational guidance for the incinerator operators.

关 键 词：垃圾焚烧炉 燃烧优化 动态模型 NSGA-II 

分 类 号：TM619[电气工程—电力系统及自动化]