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一种火电厂SCR系统的级联型机理仿真模型 被引量:5

A Novel Cascade Mechanism Simulation Model for SCR Systems of Thermal Power Plants
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摘要 针对火电厂SCR系统仿真模型的建模难点,提出了一种基于级联结构的SCR系统仿真建模方法,设计了基于粒子群算法的SCR系统仿真模型参数辨识方法,用于辨识气体吸附与解吸附、NO消耗速率和NH3氧化速率等相关动力学方程的参数,可以兼顾SCR出口NOx质量浓度和氨逃逸量2个关键目标,并通过某600 MW超临界机组SCR系统的建模算例对所提方法的有效性进行验证。结果表明:此方法有效解决了仿真模型与仿真步长的匹配问题,可为喷氨系统控制器全面优化设计研究提供支撑。 Aiming at the difficulties in modeling the simulation model for selective catalytic reduction(SCR)systems of thermal power plants,a novel cascaded modeling method was proposed.Furthermore,a model parameter identification method was designed based on the particle swarm optimization to identify the parameters of related kinetic equations,such as the gas adsorption and desorption,NO consumption rate and NH3 oxidation rate,etc.,taking account of the following two key objectives:the NOx concentration at SCR outlet and the ammonia escape rate.The method proposed was then verified by modeling the SCR system of a 600 MW power plant.Results show that the proposed method is able to solve the matching problem between the simulation model and the simulation step size,which therefore may serve as a reference for overall design and optimization of the controller for ammonia injection systems.
作者 肖运启 何曈 XIAO Yunqi;HE Tong(School of Control and Computer Engineering,North China Electric Power University,Beijing 102206,China)
出处 《动力工程学报》 CAS CSCD 北大核心 2019年第6期468-473,共6页 Journal of Chinese Society of Power Engineering
基金 中央高校基本科研业务费专项资金资助项目(2018MS27)
关键词 脱硝系统 仿真模型 氨逃逸 粒子群算法 参数优化 denitration system simulation model ammonia escape particle swarm optimization parameter optimization
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