SCI和EI收录∣中国化工学会会刊

Chinese Journal of Chemical Engineering ›› 2015, Vol. 23 ›› Issue (1): 181-191.DOI: 10.1016/j.cjche.2014.09.027

• 过程系统工程与过程安全 • 上一篇    下一篇

Strategy of changing cracking furnace feedstock based on improved group search optimization

Xiaoyu Nian, Zhenlei Wang, Feng Qian   

  1. Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology), Ministry of Education, Shanghai 200237, China
  • 收稿日期:2014-01-02 修回日期:2014-03-11 出版日期:2015-01-28 发布日期:2015-01-24
  • 通讯作者: Zhenlei Wang
  • 基金资助:

    Supported by the Major State Basic Research Development Program of China (2012CB720500), the National Natural Science Foundation of China (Key Program: U1162202), the National Natural Science Foundation of China (61174118), the National High-Tech Research and Development Program of China (2012AA040307), Shanghai Key Technologies R&D program (12dz1125100) and Shanghai Leading Academic Discipline Project (B504).

Strategy of changing cracking furnace feedstock based on improved group search optimization

Xiaoyu Nian, Zhenlei Wang, Feng Qian   

  1. Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology), Ministry of Education, Shanghai 200237, China
  • Received:2014-01-02 Revised:2014-03-11 Online:2015-01-28 Published:2015-01-24
  • Contact: Zhenlei Wang
  • Supported by:

    Supported by the Major State Basic Research Development Program of China (2012CB720500), the National Natural Science Foundation of China (Key Program: U1162202), the National Natural Science Foundation of China (61174118), the National High-Tech Research and Development Program of China (2012AA040307), Shanghai Key Technologies R&D program (12dz1125100) and Shanghai Leading Academic Discipline Project (B504).

摘要: The scheduling process of cracking furnace feedstock is important in an ethylene plant. In this paper it is described as a constraint optimization problem. The constraints consist of the cycle of operation, maximum tube metal temperature, process time of each feedstock, and flow rate. A modified group search optimizer is proposed to dealwith the optimization problem. Double fitness values are defined for every group. First, the factor of penalty function should be changed adaptively by the ratio of feasible and general solutions. Second, the "excellent" infeasible solution should be retained to guide the search. Some benchmark functions are used to evaluate the newalgorithm. Finally, the proposed algorithmis used to optimize the scheduling process of cracking furnace feedstock. And the optimizing result is obtained.

关键词: Cracking furnace, Scheduling of feedstock, Group search optimizer, Adaptive penalty function, Double fitness values

Abstract: The scheduling process of cracking furnace feedstock is important in an ethylene plant. In this paper it is described as a constraint optimization problem. The constraints consist of the cycle of operation, maximum tube metal temperature, process time of each feedstock, and flow rate. A modified group search optimizer is proposed to dealwith the optimization problem. Double fitness values are defined for every group. First, the factor of penalty function should be changed adaptively by the ratio of feasible and general solutions. Second, the "excellent" infeasible solution should be retained to guide the search. Some benchmark functions are used to evaluate the newalgorithm. Finally, the proposed algorithmis used to optimize the scheduling process of cracking furnace feedstock. And the optimizing result is obtained.

Key words: Cracking furnace, Scheduling of feedstock, Group search optimizer, Adaptive penalty function, Double fitness values