Optimization of SCR Denitration Spraying Based on Support Vector Machine and Differential Evolution Algorithm

2018 International Conference on Civil, Architecture and Disaster Prevention

土木建筑工程

Li, Haishan^1 ; Zheng, Yan^2 ; Xia, Yongjun^1 ; Fasheng, Liu^1

Jiang Xi Electric Power Science and Research Institute of National Grid, Nanchang, Jiangxi Province

330096, China^1

School of Business Administration, Nanchang Institute of Technology, Nanchang, Jiangxi Province

330099, China^2

关键词: Differential evolution algorithms;    Field operation;    Microscopic mechanisms;    Multiparameters;    Nonlinear fitting;    Optimal operation;    Predictive modeling;    Provide guidances;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/218/1/012130/pdf
DOI  :  10.1088/1755-1315/218/1/012130

学科分类：土木及结构工程学

来源: IOP

【 摘 要 】

The paper focused on the boiler SCR DeNOx system of power plant, and studied on optimal operation of the SCR DeNOx system. According to the microscopic mechanism of SCR and based on lots of data analyzed by DCS records about SCR system, the main factors which affect the efficiency of DeNOx has been got. Then built the nonlinear fitting model between SCR DeNOx efficiency and operate parameters by Support Vector Machine, meantimes, optimize the model quickly and effectively by differential evolution algorithm. Ultimately, we got the optimal operation parameters of SCR DeNOx system which can make the efficiency of DeNOx maximization. Experiments show that the proposed method is effective and feasible, and it not only provide a new thought for such problems about multi-parameter characteristics predictive modeling, but also provide guidance to field operations.