摘要
根据实时优化问题的特点,提出了一种实时优化方法——MEO(mnemonic enhancement optimization),它是一种高效的基于经验增强的实时优化方法。设计了MEO框架及其具体实现步骤,基于Aspen Plus平台开发了MEO通用代理服务器系统。结合Aspen Plus OOMF脚本语言与AOS NLP/NLA接口混合编程实施了MEO通用代理服务器系统。并应用脱丙烷塔和脱丁烷塔的联塔系统及大规模乙烯分离系统进行测试,结果显示相比于传统方法,MEO不但具有很好的实时性和收敛性,而且具有很好的鲁棒性和开放性,为实时操作优化的进行奠定了基础。
A real-time optimization method MEO （mnemonic enhancement optimization） is introduced according to the characteristics of the real time optimization （RTO） problem, it is an efficient method based on mnemonic enhancement. The framework of MEO is designed, and the process of implementation is presented in this paper. The universal proxy of MEO is developed based on Aspen Plus. Aspen Plus OOMF script language and AOS NLP/NLA interface are used. With the simulations of multi-column system and ethylene separation process system, the effectiveness of MEO is demonstrated. It confirms that MEO is not only efficient in solution and convergence, but also robust and flexible. As a result, MEO can be very useful in the real-time optimization.
出处
《化工学报》
EI
CAS
CSCD
北大核心
2008年第4期947-952,共6页
CIESC Journal
基金
国家重点基础研究发展计划项目(2002CB312200)
国家高技术研究发展计划项目(2007AA04Z192)
国家科技支撑计划项目(2007BAF22B05)~~
关键词
实时优化
MEO
经验记忆库
逼近方法
联塔系统
乙烯分离系统
real-time optimization
MEO
mnemonic database of experience
approximation methods
multi-column system
ethylene separation process system
