M.Sc. Felicitas Müller

Aufgabengebiete

Forschungsgebiet: Energiesystemintegration und Sektorenkopplung

Aufgaben am Institut:
- EMV-Prüftechnik
- Betreuung des Reallabors Energy Smart Home Lab (ESHL)

Forschungsprojekt: SEKO

Lehre
Titel Typ Semester Ort
Praktikum Wintersemester
Vorlesung

Kleiner ETI HS, Raum 105, Geb. 11.10

Übung Wintersemester

HSI Hörsaal, Geb. 30.35

Abgeschlossene Arbeiten
Titel Forschungsthema Betreuung Bearbeitung

Joshua Schwellinger

Xuanhao Mu

Theresa Geßner

Mohamed Mezghanni

Linus Thrän

Boyana Georgieva

Anna Schneider

Thomas Schmidt

Daniela Wolfangel

Walid Moumen

Tomás López

Victor Weise

Simon Müller

Stefan Welte

Paul Hentschel

Pietro Schumacher

Lea Braun

Gökhan Demirel

Stefanie Ernst

Haoze Song

Hongfei Li

Veröffentlichungen


Zeitschriftenaufsätze
Physics-informed geometric deep learning for inference tasks in power systems
Jongh, S. de; Gielnik, F.; Mueller, F.; Schmit, L.; Suriyah, M.; Leibfried, T.
2022. Electric Power Systems Research, 211, Article no: 108362. doi:10.1016/j.epsr.2022.108362
Time-Domain Dynamic State Estimation for Three-Phase Power Systems
Pfeifer, M.; Müller, F.; Jongh, S. de; Gielnik, F.; Leibfried, T.; Hohmann, S.
2022. Journal of modern power systems and clean energy
An Optimal Power Flow Algorithm for the Simulation of Energy Storage Systems in Unbalanced Three-Phase Distribution Grids
Held, L.; Mueller, F.; Steinle, S.; Barakat, M.; Suriyah, M. R.; Leibfried, T.
2021. Energies, 14 (6), Article no: 1623. doi:10.3390/en14061623
Time-Dependent Flexibility Potential of Heat Pump Systems for Smart Energy System Operation
Steinle, S.; Zimmerlin, M.; Mueller, F.; Held, L.; Suriyah, M. R.; Leibfried, T.
2020. Energies, 13 (4), Article: 903. doi:10.3390/en13040903
Proceedingsbeiträge
Case Study with Comparison of Home Energy Optimization and Control Algorithms
Mueller, F.; Jongh, S. de; Mu, X.; Suriyah, M.; Leibfried, T.
2022. CIRED Porto Workshop 2022 E-mobility and power distribution systems, Porto, Portugal, 2-3 Juni 2022
Learning Parameters and Topology in Unbalanced Distribution Grids
Jongh, S. de; Gielnik, F.; Mueller, F.; Schneider, A.; Suriyah, M. R.; Leibfried, T.
2022. CIRED workshop on E-mobility and power distribution systems, Porto, P, 2-3 June 2022
Auswirkungen von Wärmepumpen und Elektromobilität auf die Niederspannungsnetze in Baden-Württemberg : Ein Szenarienvergleich
Mueller, F.; Geßner, T.; Zimmerlin, M.; Liebhart, J.; Suriyah, M.; Leibfried, T.
2022. Zukünftige Stromnetze 2022
Establishing a Power Hardware-in-the-Loop Environment with a Smart Energy Complex
Gielnik, F.; Geis-Schroer, J.; Eser, D.; Eichhorn, S.; Steinle, S.; Hirsching, C.; Mueller, F.; Suriyah, M.; Leibfried, T.
2022. 57th International Universities Power Engineering Conference (UPEC), 30th August - 2nd September 2022, Istanbul, Turkey, 1–5, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/UPEC55022.2022.9918012
Data Fusion and State Estimation Using Belief Propagation in Gas Distribution Networks
Demirel, G.; Jongh, S. de; Müller, F.; Leibfried, T.
2022. 57th International Universities Power Engineering Conference, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/UPEC55022.2022.9917770
Impact of Dynamic Wind Power Feed-In on the Storage Capacity of the German Gas Transmission Grid
Mueller, F.; Jongh, S. de; Mu, X.; Held, L.; Suriyah, M.; Leibfried, T.
2021. International Conference and Exhibition on Electricity Distribution (CIRED 2021). doi:10.1049/icp.2021.1498
Towards the explicit dynamic modeling of distribution grids in the time-domain
Gielnik, F.; Mueller, F.; Jongh, S.; Pfeifer, M.; Suriyah, M.; Hohmann, S.; Leibfried, T.
2021. CIRED 2021 Geneve (CIRED 2021), 20-23 September 2021, 1400–1404, Institution of Engineering and Technology (IET)
Neural Predictive Control for the Optimization of Smart Grid Flexibility Schedules
Jongh, S. de; Steinle, S.; Hlawatsch, A.; Mueller, F.; Suriyah, M.; Leibfried, T.
2021. 56th International Universities Power Engineering Conference (UPEC), 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/UPEC50034.2021.9548179
Machine-learning-based Bayesian state estimation in electrical energy systems
Jongh, S. de; Mueller, F.; Li, H.; Georgieva, B.; Suriyah, M.; Leibfried, T.
2021. CIRED 2020 Berlin Workshop (CIRED 2020), 22-23 September 2020, 341–344, Institution of Engineering and Technology (IET). doi:10.1049/oap-cired.2021.0053
Betrieb eines Batteriespeicher zur Netzentlastung während Ladevorgängen von Elektrofahrzeugen
Held, L.; Müller, F.; Suriyah, M. R.; Leibfried, T.; Vasile, P.; Böttcher, N.; Wunsch, M.
2021. Tagung Zukünftige Stromnetze, 27./28. Januar und 3./4. Februar 2021, Online
Calculation of peak load and diversity factors in unbalanced low voltage grids
Held, L.; Müller, F.; Geis-Schroer, J.; Wirth, J.; Suriyah, M. R.; Leibfried, T.
2021. CIRED 2021 - The 26th International Conference and Exhibition on Electricity Distribution. Hrsg. IET, 2411–2415, Institution of Engineering and Technology (IET). doi:10.1049/icp.2021.1884
Utilization of battery storage for peak power reduction of electric vehicle charging in an underground parking space
Held, L.; Mueller, F.; Suriyah, M.; Leibfried, T.; Holder, R.; Wunsch, M.; Konermann, M.
2021. ETG-Kongress 2021, das Gesamtsystem im Fokus der Energiewende : 18.-19. Mai 2021, Online-Veranstaltung / VDE, ETG, 330–335, VDE Verlag
An Optimal Power Flow Algorithm for the Simulation of Energy Storage Systems in Unbalanced Three-Phase Distribution Grids
Held, L.; Barakat, M.; Müller, F.; Suriyah, M. R.; Leibfried, T.
2020. 2020 55th International Universities Power Engineering Conference (UPEC), Torino, Italy, 1-4 Sept. 2020, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/UPEC49904.2020.9209815
Spatio-Temporal Short Term Photovoltaic Generation Forecasting with Uncertainty Estimates using Machine Learning Methods
Jongh, S. de; Riedel, T.; Mueller, F.; Yacoub, A. E.; Suriyah, M.; Leibfried, T.
2020. 2020 55th International Universities Power Engineering Conference (UPEC), Torino, Italy, 1-4 Sept. 2020, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/UPEC49904.2020.9209764
Congestion Management of the German Transmission Grid through Sector Coupling: A Modeling Approach
Mueller, F.; Hentschel, P.; Jongh, S. de; Held, L.; Suriyah, M.; Leibried, T.
2020. 55th International Universities Power Engineering Conference (UPEC). 2020, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/UPEC49904.2020.9209822
Optimal and Efficient Real Time Coordination of Flexibility Options in Integrated Energy Systems
Zimmerlin, M.; Littig, D.; Held, L.; Mueller, F.; Karakus, C.; Suriyah, M. R.; Leibfried, T.
2019. Internationaler ETG-Kongress 2019. Das Gesamtsystem im Fokus der Energiewende, VDE Verlag
Flexibility Determination of Distributed Energy Resources, Storage Systems and Heating Units considering Load and Feed-In Uncertainty
Zimmerlin, M.; Popa, O.; Held, L.; Mueller, F.; Suriyah, M.; Leibfried, T.
2019. CIRED 2019 Proceedings, Paper n° 549, Association des Ingénieurs de Montefiore (AIM). doi:10.34890/115
Machine learning based state-estimation in sector coupled energy distribution systems
Jongh, S. de; Müller, F.; Georgieva, B.; Suriyah, M.; Leibfried, T.
2019. 5th International Conference on Smart Energy Systems in Copenhagen, on 10-11 September 2019. Aalborg Universitet. Book of Abstracts. Ed.: H. Lund, 232
Comparison of multi-timestep Optimization Methods for Gas Distribution Grids
Müller, F.; Zimmerlin, M.; Jongh, S. de; Suriyah, M. R.; Leibfried, T.
2019. 2019 54th International Universities Power Engineering Conference (UPEC): Proceedings, 3-6 September 2019, Bucharest, Romania, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/UPEC.2019.8893536
Mixed Integer Nonlinear Optimization of Coupled Power and Gas Distribution Network Operation
Zimmerlin, M.; Mueller, F.; Wilferth, M.; Held, L.; Suriyah, M. R.; Leibfried, T.
2018. 53rd International Universities Power Engineering Conference, UPEC 2018; Glasgow Caledonian University (GCU)Cowcaddens RoadGlasgow; United Kingdom; 4 September 2018 through 7 September 2018, Art. Nr.: 8541984, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/UPEC.2018.8541984
Locating Faults in Distribution Systems in the Presence of Distributed Generation using Machine Learning Techniques
Maruf, H. M. M.; Müller, F.; Hassan, M. S.; Chowdhury, B.
2018. 9th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2018; Charlotte; United States; 25 June 2018 through 28 June 2018, Art. Nr.: 8447728, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PEDG.2018.8447728