Title :
Modeling on SCR process of a coal-fired boiler using LSSVM method
Author :
Yang Tingting ; Cui Chao ; Lv You ; Li Jian
Author_Institution :
Key Lab. of Meas. & Control New Technol. & Syst. for Ind. Process, North China Electr. Power Univ., Beijing, China
Abstract :
Selective catalytic reduction (SCR) is widely applied in coal-fired power plants. SCR process is a complex physical and chemical process with multi-input, strong coupling, nonlinear, and time delay characteristics. An effective model is the basis of conducting control and optimization. In this paper, influencing factors of catalytic reaction in SCR converter are analyzed and five measurable parameters are selected as the model input variables. NOx emission and NH3 slip are separately taken as output variables. The LSSVM algorithm is employed to build the SCR models using real plant operation data from a 1000 MW coal-fired boiler. Simulation results have shown satisfied model accuracy and effectiveness are achieved.
Keywords :
boilers; least squares approximations; power engineering computing; support vector machines; LSSVM method; SCR converter; SCR process; coal-fired boiler; coal-fired power plants; least squares support vector machines; power 1000 MW; selective catalytic reduction process; Boilers; Data models; Mathematical model; Power generation; Predictive models; Process control; Thyristors; LSSVM; coal-fired power plant; data-driven model; selective catalytic reduction;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7162627
