An optimal method for prediction and adjustment on gasholder level and self-provided power plant gas supply in steel works  

作　　者：李红娟 王建军 王华 孟华 

机构地区：[1]Engineering Research Center of Metallurgical Energy Conservation&Emission Reduction of Ministry of Education(Kunming University of Science and Technology)

出　　处：《Journal of Central South University》2014年第7期2779-2792,共14页中南大学学报（英文版）

基　　金：Project(51066002/E060701) supported by the National Natural Science Foundation of China;Project(U0937604) supported by the NSFC-Yunnan Joint Fund of China

摘　　要：An optimal method for prediction and adjustment on byproduct gasholder level and self-provided power plant gas supply was proposed.This work raises the HP-ENN-LSSVM model based on the Hodrick-Prescott filter,Elman neural network and least squares support vector machines.Then,according to the prediction,the optimal adjustment process came up by a novel reasoning method to sustain the gasholder within safety zone and the self-provided power plant boilers in economic operation,and prevent unfavorable byproduct gas emission and equipment trip as well.The experiments using the practical production data show that the proposed method achieves high accurate predictions and the optimal byproduct gas distribution,which provides a remarkable guidance for reasonable scheduling of byproduct gas.An optimal method for prediction and adjustment on byproduct gasholder level and self-provided power plant gas supply was proposed.This work raises the HP-ENN-LSSVM model based on the Hodrick-Prescott filter,Elman neural network and least squares support vector machines.Then,according to the prediction,the optimal adjustment process came up by a novel reasoning method to sustain the gasholder within safety zone and the self-provided power plant boilers in economic operation,and prevent unfavorable byproduct gas emission and equipment trip as well.The experiments using the practical production data show that the proposed method achieves high accurate predictions and the optimal byproduct gas distribution,which provides a remarkable guidance for reasonable scheduling of byproduct gas.

关 键 词：HP filter Elman neural network least square support vector machine gasholder level self-provided power plant 

分 类 号：TM62[电气工程—电力系统及自动化]