A novel two-stage Lagrangian decomposition approach for refinery production scheduling with operational transitions in mode switching

Lei Shi; Yongheng Jiang; Ling Wang; Dexian Huang

doi:10.1016/j.cjche.2015.08.017

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A novel two-stage Lagrangian decomposition approach for refinery production scheduling with operational transitions in mode switching

过程系统工程与过程安全 | Updated：2026-01-06

- A novel two-stage Lagrangian decomposition approach for refinery production scheduling with operational transitions in mode switching
- Chinese Journal of Chemical Engineering Vol. 23, Issue 11, Pages: 1793-1800(2015)
- Affiliations：
  
  2 Tsinghua National Laboratory for Information Science and Technology, Tsinghua University,Beijing,China,100084
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2015.08.017
  CLC：
- Published：2015
- Accepted：
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Lei Shi, Yongheng Jiang, Ling Wang, Dexian Huang. A novel two-stage Lagrangian decomposition approach for refinery production scheduling with operational transitions in mode switching[J]. Chin.J.Chem.Eng., 2015, 23(11): 1793-1800.
DOI：

Lei Shi, Yongheng Jiang, Ling Wang, Dexian Huang. A novel two-stage Lagrangian decomposition approach for refinery production scheduling with operational transitions in mode switching[J]. Chin.J.Chem.Eng., 2015, 23(11): 1793-1800. DOI： 10.1016/j.cjche.2015.08.017.

摘要

Abstract

To address large scale industrial processes

a novel Lagrangian scheme is proposed to decompose a refinery scheduling problemwith operational transitions inmode switching into a production subproblemand a blending and delivery subproblem. To accelerate the convergence of Lagrange multipliers

some auxiliary constraints are added in the blending and delivery subproblem. A speed-up scheme is presented to increase the efficiency for solving the production subproblem. An initialization scheme of Lagrange multipliers and a heuristic algorithm to find feasible solutions are designed. Computational results on three cases with different lengths of time horizons and different numbers of orders show that the proposed Lagrangian scheme is effective and efficient.

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Related Author

Lei Shi

Yongheng Jiang

Ling Wang

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Dexian Huang

Yongheng Jiang

Tao Chen

Related Institution

Institute of Process Control Engineering, Department of Automation, Tsinghua University

Tsinghua National Laboratory for Information Science and Technology, Tsinghua University

2 Department of Automation, Tsinghua University

3 Department of Chemical and Process Engineering, University of Surrey, Guildford

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