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A distributed feasible-side convergent modifier-adaptation scheme for interconnected systems, with application to gas-compressor stations
Publikationstyp
Journal Article
Date Issued
2018-07-12
Sprache
English
Author(s)
Journal
Volume
115
Start Page
474
End Page
486
Citation
Computers and Chemical Engineering 115: 474-486 (2018)
Publisher DOI
Scopus ID
Publisher
Elsevier
Recently, a feasible-side globally convergent modifier-adaptation scheme has been proposed for the real-time optimization of uncertain systems. We show that this scheme is related to proximal-gradient algorithms in numerical optimization and we exploit this relationship to analyze its convergence in the case of inexact gradient information. We also make use of this relationship to propose a novel distributed modifier-adaptation algorithm for interconnected systems that uses a coordinator and knowledge of the interconnection topology. We then prove its feasible-side convergence to plant optimality. In addition, our distributed algorithm ensures confidentiality of local models and data. We finally demonstrate the applicability and effectiveness of this algorithm on a load-sharing optimization case study for serially connected gas compressors.
Subjects
Gas compressors
Interconnected systems
Model uncertainty
Modifier adaptation
Proximal-gradient algorithm
Real-time optimization
DDC Class
004: Computer Sciences
510: Mathematics