Merten Schuster, M.Sc.

Room:	NordLB: 106
Telephone:	+49 531 391 9719
Telefax:	+49 531 391 8106
E-Mail:
Officehours:	jederzeit nach Vereinbarung
Workgroup:	Energiesysteme

Research

• Forschung im Bereich Blindleistungsmanagement in Verteil- und Übertragungsnetzen
• PV-Wind-Symbiose: Ausnutzung der sich ergänzenden Eigenschafen von PV- und Wind-Kraftwerken
• Q-Integral: Aktives Blindleistungsmanagement mit dynamischen Blindleistungsquellen an der Schnittstelle Verteilungsnetz und Übertragungsnetz

Studentic theses

Finished

• Grid integration of a 2.0 MW safety power system in the power supply grid of VW Kraftwerk GmbH
• Further development of a self-learning reactive power control in an active reactive power management
• Development of a method for cross-process quality analysis in the congestion management processes of German transmission system operators
• Forecasting reactive power behavior in electrical energy systems using a machine-learning forecasting method
• Development of grid operation-dependent reactive power provision for converter-coupled renewable energy systems
• Implementation of a data-driven analysis and evaluation for real reactive power management in the distribution grid
• Exploratory data analysis of datasets across voltage levels and grid operators
• Investigation of machine learning models for time series forecasting in electrical energy systems
• Design and application of a data preprocessing process for machine-learning forecasting methods
• Development of a simulation environment for testing fallback strategies within an active reactive power management
• Development and validation of a methodology for predicting reactive power in electric power systems using a machine-learning forecasting technique
• Development of a tool for data-driven analysis and evaluation of grid data across voltage levels and grid operators
• Implementation of a state estimation in the scope of a cross-voltage level grid operation
• Investigation of the increase of resource efficiency in the balancing system of wastewater plants through sector coupling
• Development and investigation of fallback strategies in the case of an ICT failure in the distribution grid
• Modeling and evaluation of statistical and machine learning Methods for forecasting electric spot market prices
• Design and evaluation of a methodology to model feed-in and load time series from aggregated measurement time series
• Investigation of the legal and regulatory framework for reactive power management across voltage levels and grid operators
• Development and validation of an evaluation scheme for the provision of ancillary services by renewable energies
• Approaches for modeling grid and simulation scenarios across voltage levels in the context of future grid developments in Germany
• Development and validation of a methodology for forecasting reactive power demands in electrical power grids

Publications

• Eichner, S., Schuster, M., Köppe, H., Sass, F., Grab, R.: Development of a pricing model for the reactive power supply via STATCOM capability of a real PV power plant, 22nd Wind and Solar Integration Workshop (WIW 2023), Copenhagen, Denmark, 26.-28. September 2023
• Köppe, H., Schuster, M., Engel, B.: Improving power system efficiency: a case study on optimized reactive power management in high-voltage grids, 22nd Wind and Solar Integration Workshop (WIW 2023), Copenhagen, Denmark, 26.-28. September 2023
• Türk, J., Schuster, M., Köppe, H., Engel, B.: Development approach of a volt-var control for inverter-coupled renewable energy plants using deep reinforcement learning, 22nd Wind and Solar Integration Workshop (WIW 2023), Copenhagen, Denmark, 26.-28. September 2023
• Müller, N., Reinköster, N., Di-Modica, G., Schuster, M., Engel, B.: Simulation-aided evaluation of regulatory requirements for control in the low-voltage grid, NEIS 2023, Conference on Sustainable Energy Supply and Energy Storage Systems, Hamburg, 4.- 5. September 2023. ISBN 978-3-8007-6134-0
• Schuster, M., Pape, M., Studt, J., Bollhorn, S., Engel, B.: Design of a Data Driven Reactive Power Forecasting for an Active Cross-Voltage Level Reactive Power Management, ETG Congress 2023, Kassel, 25.-26. Mai 2023, S. 1-6. DOI: https://ieeexplore.ieee.org/document/10172984
• Schuster, M., Kufeld, ., Köppe, H., Engel, B.: Development Approach for Short-term Forecasting of Reactive Power at the Interface Distribution and Transmission Grid, ETG-Fb. 163: ETG-Kongress 2021, ETG-Kongress 2021 – Das Gesamtsystem im Fokus der Energiewende 18. – 19. Mai 2021, Online-Veranstaltung, Berlin; Offenbach: VDE Verlag GmbH, 18.-19. Mai 2021, S. 223-227. ISBN 978-380-075-549-3
• Studt, J., Schuster, M., Herr, H., Hadlak, M., Engel, B.: Electricity Spot Price Forecast: An in-depth analysis of different machine learning methods, INREC, digital, 15.-16. September 2021
• Grab, R., Köppe, H., Schuster, M.: PV-Wind-Symbiose - Ausnutzung der sich ergänzenden Eigenschaften von PV- und Wind-Kraftwerken hinsichtlich Spannungsqualität und der Bereitstellung von Wirk- und Blindleistung: Schlussbericht zum Verbundvorhaben, Fraunhofer ISE , Jg.(2019). DOI: 10.2314/KXP:1693034069
• Köppe, H., Schuster, M., Grab, R., Engel, B.: Reactive Power Provision with Distributed Energy Resources: Limitations, Potentials and Losses, 2019 IEEE Milan PowerTech, Milan, Italy, 23.-27. Juni 2019