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基于动态矩阵算法的湿法脱硫控制系统设计 被引量:8

Design of a Wet Flue Gas Desulfurization Control System Based on Dynamic Matrix Algorithm
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摘要 针对由燃料、负荷剧烈变化而导致湿法脱硫系统难以稳定经济高效运行的问题,提出了基于动态矩阵算法(DMC)的湿法脱硫系统优化策略。通过引入浆液循环泵,实现浆液喷淋量的局部连续调节,并通过粒子群优化算法结合机理模型对传递函数进行参数寻优,建立DMC控制策略,在保证控制品质的情况下实现节能控制。将优化后的DMC控制和PID控制引入负荷为220t/h的电厂锅炉湿法脱硫系统。结果表明:与PID控制相比,在DMC控制下出口SO2质量浓度变化范围更小,出口SO2质量浓度分布更集中,控制品质更好;与传统人工控制相比,变频控制总电流降幅为50~110A,具有很好的节能效果。 To solve the problem that the desulfurization system is difficult to run stably,economically and efficiently when the fuel and load change suddenly,an optimized control strategy was proposed for the desulfurization system based on dynamic matrix control(DMC).A variable-speed pump was introduced to realize the locally continuous adjustment of slurry spray,and the parameters of the transfer function were optimized by combining the particle swarm optimization algorithm with the mechanism model,following which,a control strategy based on DMC was established to achieve energy-saving control under the condition ensuring the quality of control.The optimized DMC and PID control strategies were then applied to the desulfurization control system of a 220 t/h boiler.Results show that compared with PID control,the outlet SO2 concentration of the desulfurization system under DMC control varies in a relatively narraw range,with a more concentrated distribution of outlet SO2 concentration,and better control quality.The total current under variable-frequency control is 50-110 Alower than that under manual control,indicating good energy saving effectiveness.
作者 舒坚 郑成航 郭一杉 刘博文 李钦武 翁卫国 俞保云 高翔 SHU Jian;ZHENG Chenghang;GUO Yishan;LIU Bowen;LI Qinwu;WENG Weiguo;YU Baoyun;GAO Xiang(State Key Laboratory of Clean Energy Utilization,Zhejiang University,Hangzhou 310027,China;Jiaxing New Jies Heat&Power Co.,Ltd.,Jiaxing 314000,Zhejiang Province,China)
出处 《动力工程学报》 CAS CSCD 北大核心 2020年第1期44-50,共7页 Journal of Chinese Society of Power Engineering
基金 国家自然科学基金资助项目(U1609212) 国家重点研究计划资助项目(2017YFC0210901).
关键词 湿法脱硫 控制系统 DMC 粒子群算法 wet desulfurization control system dynamic matrix control particle swarm optimization
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