Two-Stage Mathematical Programming Approach for Steelmaking Process Scheduling Under Variable Electricity Price

作     者：TAN Yuan-yuan HUANG Ying-lei LIU Shi-xin 

作者机构：College of Information Science and Engineering Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Enterprise Solution Business Group Shanghai Baosight Software Limited Company 

出 版 物：《Journal of Iron and Steel Research International》 (国际钢铁研究杂志)

年 卷 期：2013年第20卷第7期

页      面：1-8页

核心收录：

学科分类：080602[工学-钢铁冶金] 08[工学] 0806[工学-冶金工程] 

基　　金：Item Sponsored by National Natural Science Foundation of China (71171038,71021061 ) Fundamental Research Funds for Central Universities of China (N100504001) 

主　　题：steelmaking process scheduling variable electricity price mathematical programming 

摘      要：The steelmaking process scheduling problem by considering variable electricity price （SMSPVEP） was in- vestigated. A decomposition approach was proposed for the SMSPVEP. At the first stage, mathematical program-ming was utilized to minimize the maximum completion time for each cast without considering variable electricity price. At the second stage, based on obtained relative schedules of all casts, a mathematical model was formulated with an objective of minimizing the energy cost for all casts scheduling problem. The two-stage models were tested on randomly generated instances based on the practical process in a Chinese steelmaking plant. Computational results demonstrate the effectiveness of the proposed approach.