Open Theses


Here you will find offers for theses at the ACS. These are sorted by our six research teams.

Automation, Interoperability and Resilience Degree Language Contact
A Data-Driven Technique for Dynamic States Estimation Using Gaussian Processes Master en Priyanka Arkalgud Ganeshamurthy
Hosting Capacity and Sensitivity Analysis for Distribution Grids Master en Mirko Ginocchi
Quantification of Resilience in Current and Future Interdependent Power Systems Master en Nikolaus Wirtz
A Dynamic Phasor based Dynamic State Estimation for Converter Driven Grids Master en Priyanka Arkalgud Ganeshamurthy
Interdependency and Uncertainty in a Graph-Based Approach to Complex Power System Modelling and Analysis Master en Nikolaus Wirtz
Abraham Obinwanne Ezema
Implementation of Blockchain-based Virtual Redundancy as a Novel Distribution Power System Protection concept Master en César Cazal
Thanakorn Penthong
Data-Driven Technique for Dynamic States Estimation Using Gaussian Processes Master en Priyanka Ganeshamurthy
Sensitivity Analysis in power systems applications Master en Mirko Ginocchi
Validation of representative distribution networks based on Sensitivity Analysis Master en Mirko Ginocchi
Implementation and interoperability analysis of a distribution system automation in real time application Bachelor/Master en Amir Ahmadifar
Mirko Ginocchi

Advanced Control Methods for Power Systems and HiL Degree Language Contact
Faster Big Data generation and analysis for AI-assisted design of MVDC control and protection system Master en Jaqueline Cabanas Ramos
Knowledge-based Control of Load Frequency in Microgrid System using Reinforcement Learning Master en/de Ahmed Tijani Salawudeen
Fault-Observer-based Distributed Control of Load Frequency in Multiple Area AC Microgrid System Master en/de Ahmed Tijani Salawudeen
Functional Modelling of Multi-Vendor HVDC Systems Bachelor en/de Ilka Jahn
Sensitivity Analysis of Hardware and Software Parameters in HVDC Protection Master en/de Ilka Jahn
Distributed Model Predictive Secondary Control for AC/DC Microgrid Master en Asimenia Korompili
Distributed OPF Algorithm for System-Level Control of DC Distribution Grids Considering Uncertainties Master en Asimenia Korompili

Simulation Methods and Automation Software Solutions Degree Language Contact
Co-simulation of Power Systems using Shifted-Frequency Bachelor/Master de/en Andres Acosta
Jan Dinkelbach
Improved setting up of Distributed Co-simulation scenarios for Power Systems with Hardware in the Loop (HIL) Bachelor/Master de/en Andres Acosta
Jan Dinkelbach
Measurement devices models with open-source simulator DPSim Master en Leonardo Carreras
Load and power forecasting in electrical power systems using AI/ML Master en Leonardo Carreras

Energy Flexibility Management and Optimization Degree Language Contact
Review of open-source energy modeling and optimization frameworks for urban energy systems Bachelor/Master de/en Sebastian Uerlich
Techno-Economic Analysis of Alternative Microgrid Configurations and Domains for V2X Applications Bachelor en Erdem Gümrükcü
Co-Simulation for Smart Grid Oriented EV Charging Master en Erdem Gümrükcü
Felix Wege

Energy Management Systems and Data Analytics Degree Language Contact
Multi-stage GNN-based reinforcement learning solution for real-time operation of distribution grid Master en Chijioke Eze
Pre-Trained Deep Learning Model for Semantic Annotation in Energy Domain Master de/en Zhiyu Pan
Entwicklung eines integrierten Standardschemas für die gemeinsame Ontologie zur Unterstützung der Big-Data-Interoperabilität Master de/en Zhiyu Pan
Development of Common Ontology Integrated Standard Schema to Support Big Data Interoperability Master de/en Zhiyu Pan
Developing a Flexible Interface for Agent-Behaviors in Multi-Agent-System Simulations of Electrical Power Systems Master de/en Katharina Wehrmeister
Distributed Active Voltage Control via Decision Transformer-based MARL Policy Master en Chijioke Christian Eze
Explainable Deep Sequence Model for Energy Forecasts Master en Abraham Obinwanne Ezema
Data and Ontology Model Definition in Energy Systems using Deep Reinforcement Learning Master en Charles Emehel