Two-Stage Mathematical Programming Approach for Steelmaking Process Scheduling Under Variable Electricity Price
TAN Yuan-yuan1,2,HUANG Ying-lei3,LIU Shi-xin1,2
1. College of Information Science and Engineering, Northeastern University, Shenyang 110819, Liaoning, China 2. State Key Laboratory of Synthetical Automation for Process Industries, Shenyang 110819, Liaoning, China 3. Enterprise Solution Business Group, Shanghai Baosight Software Limited Company, Shanghai 201900, China
Two-Stage Mathematical Programming Approach for Steelmaking Process Scheduling Under Variable Electricity Price
TAN Yuan-yuan1,2,HUANG Ying-lei3,LIU Shi-xin1,2
1. College of Information Science and Engineering, Northeastern University, Shenyang 110819, Liaoning, China 2. State Key Laboratory of Synthetical Automation for Process Industries, Shenyang 110819, Liaoning, China 3. Enterprise Solution Business Group, Shanghai Baosight Software Limited Company, Shanghai 201900, China
ժҪ The steelmaking process scheduling problem by considering variable electricity price (SMSPVEP) was investigated. A decomposition approach was proposed for the SMSPVEP. At the first stage, mathematical programming 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.
Abstract��The steelmaking process scheduling problem by considering variable electricity price (SMSPVEP) was investigated. A decomposition approach was proposed for the SMSPVEP. At the first stage, mathematical programming 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.
��������:National Natural Science Foundation of China;the Fundamental Research Funds for the Central Universities
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E-mail: tanyuanyuan83@sina.cn
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TAN Yuan-yuan,,HUANG Ying-lei,LIU Shi-xin,. Two-Stage Mathematical Programming Approach for Steelmaking Process Scheduling Under Variable Electricity Price[J]. �й������ڿ���, 2013, 20(7): 1-8.
TAN Yuan-yuan,,HUANG Ying-lei,LIU Shi-xin,. Two-Stage Mathematical Programming Approach for Steelmaking Process Scheduling Under Variable Electricity Price. Chinese Journal of Iron and Steel, 2013, 20(7): 1-8.
2013, Vol. 20 
