Distributed asynchronous double accelerated optimization for ethylene plant considering delays  

作　　者：Ting Wang Zhongmei Li Wenli Du 

机构地区：[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

出　　处：《Chinese Journal of Chemical Engineering》2025年第2期245-250,共6页中国化学工程学报(英文版)

基　　金：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);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 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]