Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Mathias SIRVENT"'
Publikováno v:
Journal of Modern Power Systems and Clean Energy, Vol 5, Iss 3, Pp 364-374 (2017)
Abstract In this paper a combined optimization of a coupled electricity and gas system is presented. For the electricity network a unit commitment problem with optimization of energy and reserves under a power pool, considering all system operational
Externí odkaz:
https://doaj.org/article/5ee8ee26e92d49c68606f9c5d8f00d64
Publikováno v:
Optimization Letters. 16:1355-1372
It is folklore knowledge that nonconvex mixed-integer nonlinear optimization problems can be notoriously hard to solve in practice. In this paper we go one step further and drop analytical properties that are usually taken for granted in mixed-intege
Autor:
Martin Schmidt, Denis Aßmann, Robert Burlacu, Jesco Humpola, Imke Joormann, Nikolaos Kanelakis, Thorsten Koch, Djamal Oucherif, Marc E. Pfetsch, Lars Schewe, Robert Schwarz, Mathias Sirvent
Publikováno v:
Data, Vol 2, Iss 4, p 40 (2017)
The development of mathematical simulation and optimization models and algorithms for solving gas transport problems is an active field of research. In order to test and compare these models and algorithms, gas network instances together with demand
Externí odkaz:
https://doaj.org/article/80791a22acb64ce3ba2639ae5562bb2a
We present a market model of a liberalized aviation market with independent decision makers. The model consists of a hierarchical, trilevel optimization problem where perfectly competitive budget-constrained airports decide (in the first level) on op
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f87e840babfc80b9c3a1323d817a0e29
https://publica.fraunhofer.de/handle/publica/268302
https://publica.fraunhofer.de/handle/publica/268302
Autor:
Mathias Sirvent
Publikováno v:
Operations Research Proceedings ISBN: 9783030484385
OR
OR
The article summarizes the findings of my Ph.D. thesis finished in 2018; see (Sirvent, Incorporating differential equations into mixed-integer programming for gas transport optimization. FAU University Press, Erlangen, 2018). For this report, we spec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65cbb67c6a4d2e18248db1d914b3f0d6
https://doi.org/10.1007/978-3-030-48439-2_3
https://doi.org/10.1007/978-3-030-48439-2_3
Autor:
Mathias Sirvent, Alex Martin, Lars Schewe, Herbert Egger, Marc E. Pfetsch, Martin Skutella, Martin Groß, Robert Burlacu
Publikováno v:
Optimization and Engineering. 20:543-573
In this paper, we study the transient optimization of gas networks, focusing in particular on maximizing the storage capacity of the network. We include nonlinear gas physics and active elements such as valves and compressors, which due to their swit
Publikováno v:
Mathematical Programming. 178:449-483
Many mixed-integer optimization problems are constrained by nonlinear functions that do not possess desirable analytical properties like convexity or factorability or cannot even be evaluated exactly. This is, e.g., the case for many problems constra
Autor:
Martin Schmidt, Martin Gugat, Alex Martin, Mathias Sirvent, Günter Leugering, David Wintergerst
Publikováno v:
Networks. 72:60-83
We propose a decomposition based method for solving mixed-integer nonlinear optimization problems with “black-box” nonlinearities, where the latter, e.g., may arise due to differential equations or expensive simulation runs. The method alternatin
Autor:
Günter Leugering, Mathias Sirvent, Alex Martin, Martin Gugat, Martin Schmidt, David Wintergerst
Publikováno v:
Computational Optimization and Applications. 70:267-294
We study the transient optimization of gas transport networks including both discrete controls due to switching of controllable elements and nonlinear fluid dynamics described by the system of isothermal Euler equations, which are partial differentia
Autor:
Marc E. Pfetsch, Denis Aßmann, Jesco Humpola, Nikolaos Kanelakis, Robert Schwarz, Mathias Sirvent, Imke Joormann, Lars Schewe, Martin Schmidt, Robert Burlacu, Thorsten Koch, Djamal Oucherif
Publikováno v:
Data, Vol 2, Iss 4, p 40 (2017)
The development of mathematical simulation and optimization models and algorithms for solving gas transport problems is an active field of research. In order to test and compare these models and algorithms, gas network instances together with demand