文献类型：期刊文献

英文题名：Distributed Asynchronous Optimization With Inseparable Coupled Constraints and Its Application

作者：Wang, Ting[1,2,3];Liu, Weihan[1,2,3];Li, Zhongmei[1,2,3];Ye, Zhencheng[1,2,3];Peng, Xin[1,2,3];Du, Wenli[1,2,3]

机构：[1]East China Univ Sci & Technol, State Key Lab Ind Control Technol, Minist Educ, 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;[3]Huzhou Inst Ind Control Technol, Huzhou 313099, Peoples R China

年份：2025

卷号：22

起止页码：13458

外文期刊名：IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING

收录：;EI(收录号：20251318110577);WOS:【SCI-EXPANDED(收录号:WOS:001470397200007)】；

基金：This work was supported in part by the National Key Research and Development Program of China under Grant 2022YFB3305900, in part by the National Natural Science Foundation of China under Grant 62293501 and Grant 62103151,in part by Shanghai Rising-Star Program under Grant 24QA2706100, in part by the Program of Introducing Talents of Discipline to Universities (the 111 Project) under Grant B17017, and in part by the Fundamental Research Fund sfor Central Universities under Grant 222202517006.

语种：英文

外文关键词：Optimization; Production; Energy consumption; Delays; Convergence; Separation processes; Industries; Heating systems; Delay effects; Automation; Distributed optimization; constraint node; asynchronous algorithm; ethylene separation process; plant-wide optimization

摘要：Considering the complexity of centralized plant-wide optimization and the presence of communication delay in production units, a distributed asynchronous optimization framework is developed for energy consumption optimization problem during ethylene production. First, the energy consumption optimization problem of ethylene process is formulated into a distributed asynchronous optimization problem. Then, considering multiple production units and the material transfer time involved, each unit is treated as a node, and each node is decomposed into calculation nodes, constraint nodes, and delay nodes. Specifically, each production unit can be optimized asynchronously without the necessity for synchronization. To overcome the impact of communication delay on asynchronous process, state vectors are incorporated into the distributed parameter projection algorithm. Additionally, to ensure that the inseparable coupled constraints between nodes during asynchronous operations are met, the parameter projection algorithm is employed. Numerical experiments and industrial simulations demonstrate the proposed algorithm exhibits faster convergence speeds compared to distributed synchronous algorithms, and the energy consumption is lower than the results obtained by the centralized algorithm. Note to Practitioners-As the scale of ethylene production expands, traditional centralized optimization methods struggle to meet the demands of plant-wide optimization due to their high model complexity and slow convergence rates. In this study, we develop a distributed optimization framework, in which the large-scale complex model is decomposed into small parts, and the global optimization task is accomplished cooperatively through local information exchange. Furthermore, considering the time delay due to material residence time in processing units, a distributed asynchronous parameter projection algorithm is proposed to solve the energy consumption issue in ethylene plant. Experimental results demonstrate that the proposed method is capable of converging to the feasible solution in the presence of time delay. Compared with the existing centralized methods, the proposed asynchronous distributed algorithm exhibits better performance, i.e. lower energy consumption. Besides, the proposed asynchronous distributed optimization framework holds potential for application in other process industries, such as the metallurgical industry and steel production process.