Scheduling of multi-pipeline crude oil blending based on constrained ordinal optimization

摘要：

Blending can help refineries, which have to deal with different types of crude oil, obtain a qualified feedstock. In this paper, a novel scheduling strategy of multi-pipeline crude oil blending based on constrained ordinal optimization (COO) is proposed. The objective is to keep the property of feedstock, mainly described by the true boiling point (TBP) data, consistent and suitable. Firstly, a MINLP scheduling model is established. Then, an efficient COO algorithm based on a two-level optimization structure is proposed. Finally, the whole scheduling strategy is validated by a real case study.

关键词： Crude oil blending scheduling multilevel optimization ordinal optimization

作者: Liang Bai Yongheng Jiang Dexian Huang

作者单位: Automation, Tsinghua Univ., Beijing,P.R.China. Automation, Tsinghua Univ.and Tsinghua National Laboratory for Information Science and Technology,Be Automation, Tsinghua Univ. and Tsinghua National Laboratory for Information Science and Technology,B

会议类型: 国际会议

会议名称: 2011 International Symposium on Advanced Control of Industrial Processes(2011工业过程先进控制技术国际研讨会)

会议地点: 杭州

会议语种:英文

页码: 541-546

在线出版日期: 2011-05-01（万方平台首次上网日期，不代表论文的发表时间）