SCI和EI收录∣中国化工学会会刊

中国化学工程学报 ›› 2025, Vol. 78 ›› Issue (2): 245-250.DOI: 10.1016/j.cjche.2024.11.003

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Distributed asynchronous double accelerated optimization for ethylene plant considering delays

Ting Wang1,2, Zhongmei Li1,2, Wenli Du1,2   

  1. 1. State Key Laboratory of Industrial Control Technology, East China University of Science and Technology, Shanghai 200237, China;
    2. Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China
  • 收稿日期:2024-01-26 修回日期:2024-11-04 接受日期:2024-11-05 出版日期:2025-02-08 发布日期:2025-01-09
  • 通讯作者: Wenli Du,E-mail:wldu@ecust.edu.cn
  • 基金资助:
    This work was supported by National Key Research and Development Program of China (2022YFB3305900), National Natural Science Foundation of China (62394343, 62394345), Major Science and Technology Projects of Longmen Laboratory (NO. LMZDXM202206) and Shanghai Rising-Star Program under Grant 24QA2706100.

Distributed asynchronous double accelerated optimization for ethylene plant considering delays

Ting Wang1,2, Zhongmei Li1,2, Wenli Du1,2   

  1. 1. State Key Laboratory of Industrial Control Technology, East China University of Science and Technology, Shanghai 200237, China;
    2. Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China
  • Received:2024-01-26 Revised:2024-11-04 Accepted:2024-11-05 Online:2025-02-08 Published:2025-01-09
  • Supported by:
    This work was supported by National Key Research and Development Program of China (2022YFB3305900), National Natural Science Foundation of China (62394343, 62394345), Major Science and Technology Projects of Longmen Laboratory (NO. LMZDXM202206) and Shanghai Rising-Star Program under Grant 24QA2706100.

摘要: Considering the complexity of plant-wide optimization for large-scale industries, a distributed optimization framework to solve the profit optimization problem in ethylene whole process is proposed. To tackle the delays arising from the residence time for materials passing through production units during the process with guaranteed constraint satisfaction, an asynchronous distributed parameter projection algorithm with gradient tracking method is introduced. Besides, the heavy ball momentum and Nesterov momentum are incorporated into the proposed algorithm in order to achieve double acceleration properties. The experimental results show that the proposed asynchronous algorithm can achieve a faster convergence compared with the synchronous algorithm.

关键词: Asynchronous distributed optimization, Plant-wide optimization, Heavy ball, Nesterov, Inequality constraints

Abstract: Considering the complexity of plant-wide optimization for large-scale industries, a distributed optimization framework to solve the profit optimization problem in ethylene whole process is proposed. To tackle the delays arising from the residence time for materials passing through production units during the process with guaranteed constraint satisfaction, an asynchronous distributed parameter projection algorithm with gradient tracking method is introduced. Besides, the heavy ball momentum and Nesterov momentum are incorporated into the proposed algorithm in order to achieve double acceleration properties. The experimental results show that the proposed asynchronous algorithm can achieve a faster convergence compared with the synchronous algorithm.

Key words: Asynchronous distributed optimization, Plant-wide optimization, Heavy ball, Nesterov, Inequality constraints