文献类型：期刊文献

英文题名：Distributed asynchronous double accelerated optimization for ethylene plant considering delays

作者：Wang, Ting[1,2];Li, Zhongmei[1,2];Du, Wenli[1,2]

机构：[1]East China Univ Sci & Technol, State Key Lab Ind Control Technol, Shanghai 200237, Peoples R China;[2]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China

年份：2025

卷号：78

起止页码：245

外文期刊名：CHINESE JOURNAL OF CHEMICAL ENGINEERING

收录：;EI(收录号：20250517780420);WOS:【SCI-EXPANDED(收录号:WOS:001608070600001)】；

基金：This work was supported by National Key Research and Development Program of China (2022YFB330590 0) , 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 24QA270610 0.

语种：英文

外文关键词：Asynchronous distributed optimization; Plant-wide optimization; Heavy ball; Nesterov; Inequality constraints

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. (c) 2024 The Chemical Industry and Engineering Society of China, and Chemical Industry Press Co., Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.