文献类型：会议论文

英文题名：Large-scale crude oil scheduling: A framework of hybrid optimization based on plan decomposition

作者：Zhang, Wanting[1];Du, Wei[1];Yu, Guo[1];He, Renchu[1];Du, Wenli[1]

机构：[1]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai, Peoples R China

会议论文集：IEEE Congress on Evolutionary Computation (CEC)

会议日期：JUL 18-23, 2022

会议地点：Padua, ITALY

语种：英文

外文关键词：Crude oil scheduling; large-scale; decomposition for plans; evolutionary algorithm (EA)

摘要：In large refineries, the resource-oriented plan of crude oil is commonly required to be tractable and decomposable for practical operation scheduling, especially for large-scale scheduling. To this end, a framework of hybrid optimization based on plan decomposition (FHO/PD) is proposed, which mainly depends on evolutionary algorithms to realize the flexible decomposition from large-scale planning to scheduling and takes advantage of mathematical programming to improve the solving efficiency synchronously. Finally, the experimental results on a practical case suggest that the proposed method has shown great flexibility and applicability in crude oil scheduling.