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  4. Kevin-Martin Aigner

Kevin-Martin Aigner

In page navigation: EDOM
  • Overview
  • Team
    • Kevin-Martin Aigner
    • Edeltraud Balser
    • Andreas Bärmann
    • Kristin Braun
    • Jana Dienstbier
    • Patrick Gemander
    • Yiannis Giannakopoulos
    • Lukas Hager
    • Katrin Halbig
    • Beate Kirchner
    • Martina Kuchlbauer
    • Frauke Liers
    • Alexander Martin
    • Alexander Müller
    • Timm Oertel
    • Galina Orlinskaya
    • Florian Rösel
    • Hanno Schülldorf
    • Jonasz Staszek
    • Regine Stirnweiß
    • Sebastian Tschuppik
    • Friedrich Wagner
    • Dieter Weninger
    • Jorge Weston
  • Projects
    • Analytics
      • ADA Lovelace Center
      • Optimal Control of Electrical Distribution Networks with Uncertain Solar Feed-In
      • Optimization of medical care in rural environments
        • HealthFaCT Contents
      • EWave – Water Supply Energy Management System
      • LeOpIn
      • Robust Schedules for Air Traffic Management
      • RobustATM: Robust Optimization of ATM Planning Processes by Modelling of Uncertainty Impact
    • Energy
      • Robustification of Physical Parameters in Gas Networks
      • Adaptive MIP-Relaxations for MINLPs
      • Analysis of the German Electricity Market
      • MIP-based Alternating Direction Methods for High-Detail Stationary Gas Transport MINLPs
      • Decomposition methods for mixed-integer optimal control
      • Optimal allocation of gas network capacities
      • Energy System Analysis
      • Robust Power Load Balancing in Railway Networks
      • Smart Grid Optimization
    • Engineering and Physics
    • Logistics and Production
      • Driver Assistance Systems in Railway Traffic
      • Energy-Efficient Timetable Optimization
      • Joint Locomotive Scheduling and Driver Rostering in Rail Freight Traffic
      • Holistic optimization of trajectrories and runway scheduling
      • Optimized Production in the Tea Industry
      • OPs-TIMAL – Optimized processes for trajectory, maintenance and management of ressources and operations in aviation
      • Process optimization for hospital logistics
      • Expansion of the German Rail Freight Network
    • Mixed Integer Programming
      • Solver for Relaxations in General Mixed Integer Nonlinear Programming (SCIP/NL)
      • Development of new Linear and MIP Techniques for Supply Chain Management
      • Lamatto++
    • TRR 154 (Transregio)
  • Publications
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Kevin-Martin Aigner

M.Sc. Kevin-Martin Aigner

Kevin-Martin Aigner
Kevin-Martin Aigner
UnivIS-Beauftragte

Department of Data Science (DDS)
Professorship of Optimization under Uncertainty & Data Analysis (Prof. Dr. Liers)

Room: Raum 03.377
Cauerstraße 11
91058 Erlangen
  • Phone number: +49 9131 85-67181
  • Email: kevin-martin.aigner@fau.de
  • Website: https://www.datascience.nat.fau.eu/research/groups/ouda/members/kevin-martin-aigner/

Projects

  • Multi-sector coupled energy system modeling on a regional level

    (Third Party Funds Group – Overall project)

    Term: 01-05-2021 - 30-04-2024
    Funding source: Bundesministerium für Wirtschaft und Technologie (BMWi)
    URL: https://www.esm-regio.de
    Abstract
    Reducing primary energy use and greenhouse gases are central goals of the energy transition. However, switching from fossil to regenerative energy sources is not enough to achieve them. An overarching view and optimization of the different sectors of the energy system - electricity, gas, heat and transport - can significantly advance the further development of the energy system in Germany. Potential exists above all on a regional level.

    The goal of the ESM-Regio project - short for "Multisectoral Coupled Energy System Modeling on a regional level" - is to create a temporally high-resolution energy system model on a county level that takes into account the four sectors of electricity, gas, heat and transport as well as the required interface technologies. A key feature of the project is a cross-sector model logic. Suitable simulation methods enable a holistic analysis and optimization of the system operation under consideration of the four relevant sectors of the energy system.

    →More information
  • Optimierung der Netzeingriffe

    (Third Party Funds Group – Sub project)

    Overall project: Flächenbezogene Modellierung, Simulation und Optimierung von Solar-Einspeisung, Lastfluss und Steuerung für Stromverteilnetze, unter Berücksichtigung von Einspeisungsunsicherheiten
    Term: 01-01-2018 - 31-12-2021
    Funding source: Bundesministerium für Bildung und Forschung (BMBF)
    URL: https://en.www.math.fau.de/edom/projects-edom/analytics/optimal-control-of-electrical-distribution-networks-with-uncertain-solar
    →More information

Publications

2023

  • Aigner KM., Burlacu R., Liers F., Martin A.:
    Solving AC Optimal Power Flow with Discrete Decisions to Global Optimality
    In: Informs Journal on Computing (2023)
    ISSN: 1091-9856
    URL: https://opus4.kobv.de/opus4-trr154/frontdoor/index/index/searchtype/all/docId/323/start/0/rows/10
    BibTeX: Download
    (Techreport)
  • Aigner KM., Bärmann A., Braun K., Liers F., Pokutta S., Schneider O., Sharma K., Tschuppik S.:
    Data-driven Distributionally Robust Optimization over Time
    In: INFORMS Journal on Optimization (2023)
    ISSN: 2575-1484
    URL: https://opus4.kobv.de/opus4-trr154/frontdoor/index/index/docId/496
    BibTeX: Download

2022

  • Aigner KM., Clarner JP., Liers F., Martin A.:
    Robust Approximation of Chance Constrained DC Optimal Power Flow under Decision-Dependent Uncertainty
    In: European Journal of Operational Research (2022)
    ISSN: 0377-2217
    DOI: 10.1016/j.ejor.2021.10.051
    URL: https://www.sciencedirect.com/science/article/abs/pii/S0377221721009000
    BibTeX: Download
    (online publication)
  • Aigner KM., Schaumann P., von Loeper F., Martin A., Schmidt V., Liers F.:
    Robust DC Optimal Power Flow with Modeling of Solar Power Supply Uncertainty via R-Vine Copulas
    In: Optimization and Engineering (2022)
    ISSN: 1389-4420
    DOI: 10.1007/s11081-022-09761-0
    URL: https://link.springer.com/article/10.1007/s11081-022-09761-0
    BibTeX: Download

2021

  • Dienstbier J., Aigner KM., Rolfes J., Peukert W., Segets D., Pflug L., Liers F.:
    Robust Optimization in Nanoparticle Technology: A Proof of Principle by Quantum Dot Growth in a Residence Time Reactor
    In: Computers & Chemical Engineering (2021)
    ISSN: 0098-1354
    DOI: 10.1016/j.compchemeng.2021.107618
    URL: http://www.optimization-online.org/DB_HTML/2021/02/8262.html
    BibTeX: Download

Research Activities

  • Aussois Combinatorial Optimization Workshop 2023
    (Other activitiy (FAU-external))
    09-01-2023 - 13-01-2023, URL: http://www.iasi.cnr.it/aussois/web/home
  • Chance constrained DC optimal power flow with discrete curtailment of renewables
    (Speech / Talk)
    08-12-2022, Event: International Conference on Operations Research - OR 2022, Karlsruhe Institute of Technology (KIT), URL: https://www.or2022.de/index.php
  • Solving AC Optimal Power Flow with Discrete Decisions to Global Optimality
    (Speech / Talk)
    13-07-2021, Event: 31st European Conference on Operational Research, URL: https://euro2021athens.com/
  • Robust Approximation of Chance Constrained DC Optimal Power Flow under Decision-Dependent Uncertainty
    (Speech / Talk)
    09-11-2020, Event: INFORMS Annual Meeting 2020, URL: http://meetings2.informs.org/wordpress/annual2020/
  • Optimization of Electricity Networks under Uncertain Solar Feed-In
    (Speech / Talk)
    11-03-2019, Event: TOR-Workshop 2019, URL: http://www.gor-ev.de/6-tor-workshop-vom-11-bis-11-maerz-2019
Friedrich-Alexander-Universität
Department of Mathematics

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