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    Item type:Publication, Access status: without files ,
    A distributed feasible-side convergent modifier-adaptation scheme for interconnected systems, with application to gas-compressor stations
    (Elsevier, 2018-07-12)
    Milosavljevic, Predrag
    ;
    Schneider, René
    ;
    Cortinovis, Andrea
    ;
    Faulwasser, Timm
    ;
    Bonvin, Dominique
    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.
    Publicationtype: Journal Article
      8
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    Item type:Publication, Access status: without files ,
    Optimal load sharing of parallel compressors via modifier adaptation
    (IEEE, 2016)
    Milosavljevic, Predrag
    ;
    Cortinovis, Andrea
    ;
    Marchetti, Alejandro
    ;
    Faulwasser, Timm
    ;
    Mercangöz, Mehmet
    We discuss optimal load sharing of parallel gas compressors in the presence of plant-model mismatch. We formulate this problem as a static real-time optimization task and propose to tackle it by means of modifier adaptation. Under mild assumptions, the chosen approach guarantees optimal operating conditions upon convergence. Furthermore, we discuss how the specific problem structure can be exploited to estimate the plant gradients efficiently during process operation. Finally, we draw upon simulated case studies for two and six compressors to demonstrate the applicability and effectiveness of the proposed real-time optimization approach.
    Publicationtype: Conference Paper
      9