Lehrstuhl für Wirtschaftsmathematik

Adresse:
Cauerstraße 11
91058 Erlangen



Untergeordnete Organisationseinheiten

Juniorprofessur für Algorithmische Diskrete Mathematik
Juniorprofessur für Optimierung von Energiesystemen


Forschungsbereiche

Mixed Integer Programming
Logistics and Production
Analytics
Engineering and Physics
Energy


Forschungsprojekt(e)

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(TRR 154: Mathematische Modellierung, Simulation und Optimierung am Beispiel von Gasnetzwerken):
Dekompositionsmethoden für ganzzahlig-kontinuierliche Optimalsteuerung (A05) (2018 - 2022)
Prof. Dr. Günter Leugering; Prof. Dr. Alexander Martin; Prof. Dr. Martin Schmidt
(01.07.2018 - 30.06.2022)


(TRR 154: Mathematische Modellierung, Simulation und Optimierung am Beispiel von Gasnetzwerken):
Adaptive MIP-Relaxierungen für MINLPs (B07) (2018 - 2022)
Prof. Dr. Alexander Martin; PD Dr. Lars Schewe
(01.07.2018 - 30.06.2022)


Verteilnetze: Flächenbezogene Modellierung, Simulation und Optimierung von Solar-Einspeisung, Lastfluss und Steuerung für Stromverteilnetze, unter Berücksichtigung von Einspeisungsunsicherheiten. Teilprojekt 5: Optimierung der Netzeingriffe.
Prof. Dr. Frauke Liers; Prof. Dr. Alexander Martin
(01.01.2018 - 31.12.2020)


(Reduced Order Modelling, Simulation and Optimization of Coupled systems):
ROMSOC: Reduced Order Modelling, Simulation and Optimization of Coupled systems
Dr. Andreas Bärmann; Prof. Dr. Alexander Martin
(01.09.2017 - 31.08.2021)


(Energie Campus Nürnberg (EnCN2)):
EMD: Energiemarktdesign
Prof. Dr. Veronika Grimm; Prof. Dr. Roland Ismer; Prof. Dr. Frauke Liers; Prof. Dr. Alexander Martin; PD Dr. Lars Schewe; Prof. Dr. Martin Schmidt; Prof. Dr. Gregor Zöttl
(01.01.2017 - 31.12.2021)



Publikationen (Download BibTeX)

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Grimm, V., Grübel, J., Schewe, L., Schmidt, M., & Zöttl, G. (2018). Nonconvex Equilibrium Models for Gas Market Analysis: Failure of Standard Techniques and Alternative Modeling Approaches. European Journal of Operational Research. https://dx.doi.org/10.1016/j.ejor.2018.09.016
Hiller, B., Koch, T., Schewe, L., Schwarz, R., & Schweiger, J. (2018). A System to Evaluate Gas Network Capacities: Concepts and Implementation. European Journal of Operational Research, 270(3), 797-808. https://dx.doi.org/10.1016/j.ejor.2018.02.035
Schewe, L., Schmidt, M., & Thürauf, J. (2018). Structural Properties of Feasible Bookings in the European Entry-Exit Gas Market System.
Groß, M., Pfetsch, M.E., Schewe, L., Schmidt, M., & Skutella, M. (2018). Algorithmic Results for Potential-Based Flows: Easy and Hard Cases. Networks. https://dx.doi.org/10.1002/net.21865
Grimm, V., Martin, A., Sölch, C., Weibelzahl, M., & Zöttl, G. (2018). Market-based Redispatch May Result in Inefficient Dispatch.
Kramer, A., Krebs, V., & Schmidt, M. (2018). Strictly and Γ-Robust Counterparts of Electricity Market Models: Perfect Competition and Nash--Cournot Equilibria.
Steber, D., Pruckner, M., Thurner, C., Burlacu, R., Graber, T., Deß, T.,... German, R. (2018). Combined Optimization, Simulation and Grid Analysis of the German Electrical Power System in an European Context (KOSiNeK) - Presentation of the research project and first results. Nürnberg, DE.
Gugat, M., Leugering, G., Martin, A., Schmidt, M., Sirvent, M., & Wintergerst, D. (2018). MIP-based instantaneous control of mixed-integer PDE-constrained gas transport problems. Computational Optimization and Applications, 70(1), 267-294. https://dx.doi.org/10.1007/s10589-017-9970-1
Grimm, V., Schewe, L., Schmidt, M., & Zöttl, G. (2018). A multilevel model of the European entry-exit gas market. Mathematical Methods of Operations Research. https://dx.doi.org/10.1007/s00186-018-0647-z
Krebs, V., & Schmidt, M. (2018). Uniqueness of Market Equilibria on Networks with Transport Costs. Operations Research Perspectives, 5, 169-173. https://dx.doi.org/10.1016/j.orp.2018.05.002
Bärmann, A., & Liers, F. (2018). Aggregation Methods for Railway Network Design Based on Lifted Benders Cuts. In Borndörfer R, Klug T, Lamorgese L, Mannino C, Reuther M, Schlechte T (Eds.), Handbook of Optimization in the Railway Industry. (pp. 47--72). Cham: Springer International Publishing.
Bärmann, A. (2018). An Optimal Expansion Strategy for the German Railway Network Until 2030. In Fink A, Fügenschuh A, Geiger MJ (Eds.), Operations Research Proceedings 2016 (pp. 3--8). Cham: Springer International Publishing.
Bärmann, A., Gellermann, T., Merkert, M., & Schneider, O. (2018). Staircase Compatibility and its Applications in Scheduling and Piecewise Linearization. Discrete Optimization, 29, 111-132. https://dx.doi.org/10.1016/j.disopt.2018.04.001
Schmidt, M., Sirvent, M., & Wollner, W. (2018). The Cost of Not Knowing Enough: Mixed-Integer Optimization with Implicit Lipschitz Nonlinearities.
Schmidt, M., Sirvent, M., & Wollner, W. (2018). A Decomposition Method for MINLPs with Lipschitz Continuous Nonlinearities. Mathematical Programming. https://dx.doi.org/10.1007/s10107-018-1309-x
Geißler, B., Morsi, A., Schewe, L., & Schmidt, M. (2018). Solving Highly Detailed Gas Transport MINLPs: Block Separability and Penalty Alternating Direction Methods. Informs Journal on Computing, 20(2). https://dx.doi.org/10.1287/ijoc.2017.0780
Schewe, L., & Schmidt, M. (2018). Computing Feasible Points for Binary MINLPs with MPECs. Mathematical Programming Computation. https://dx.doi.org/10.1007/s12532-018-0141-x
Gugat, M., Leugering, G., Martin, A., Schmidt, M., Sirvent, M., & Wintergerst, D. (2018). Towards Simulation Based Mixed-Integer Optimization with Differential Equations. Networks, 72(1), 60-83. https://dx.doi.org/10.1002/net.21812
Schewe, L., & Schmidt, M. (2018). The Impact of Potential-Based Physics Models on Pricing in Energy Networks.
Robinius, M., Schewe, L., Schmidt, M., Stolten, D., Thürauf, J., & Welder, L. (2018). Robust Optimal Discrete Arc Sizing for Tree-Shaped Potential Networks.

Zuletzt aktualisiert 2018-29-11 um 13:18