Optimal resource allocation in industrial complexes by distributed optimization and dynamic pricing

被引：23

作者：

Wenzel, Simon ^{[1
]}

Paulen, Radoslav ^{[1
]}

Stojanovski, Goran ^{[2
]}

Kraemer, Stefan ^{[3
]}

Beisheim, Benedikt ^{[3
]}

Engell, Sebastian ^{[1
]}

机构：

[1] Tech Univ Dortmund, Fak Bio & Chem Ingn, Lehrstuhl Syst Dynam & Prozessfuhrung, Emil Figge Str 70, D-44227 Dortmund, Germany

[2] Ss Cyril & Methodius Univ Skopje, Fac Elect Engn & Informat Technol, Rugjer Boshkovik 18,POB 574, Skopje 1000, Macedonia

[3] INEOS Koln GmbH, Alte Str 201, D-50769 Cologne, Germany

来源：

AT-AUTOMATISIERUNGSTECHNIK | 2016年 / 64卷 / 06期

关键词：

Optimal resource allocation; market-based coordination; distributed optimization; COORDINATION;

D O I：

10.1515/auto-2016-0003

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We address the distributed hierarchical optimization of industrial production complexes where the individual plants exchange resources via networks. Due to the site-wide couplings a centralized or a distributed hierarchical optimization is needed to achieve the best overall performance of the site and to balance the networks of the shared resources. We discuss market-like algorithms that set prices of the shared resources in order to influence the individual optimizers so that the overall operation converges to the site-wide optimum. A novel algorithm for price adjustment based on the quadratic approximation of the responses of the individual optimizers is presented. It shows convergence to the site-wide optimum with significantly less iterations in comparison to the standard subgradient-based method for a set of case studies, including a petrochemical complex.

引用

页码：428 / 442

页数：15

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