Biographie

Study

I received my master’s degree equivalent (Diplôme d’Ingénieur), from Telecom Physique Strasbourg (TPS), Illkirch-Graffenstaden, France, in 2021. My general engineering studies focused on electronics and embedded systems. I deepened my knowledge in power electronics during my exchange program at the Karlsruhe Institute of Technology (KIT), Germany. Since late 2021, I have been pursuing a Ph.D. as part of the Real-Time Systems for Energy Technologies (RTSET) group and Energy Lab at KIT. In 2023, I spent a semester as a visiting researcher at the FREEDM Systems Center at North Carolina State University, USA.
 

Research in RTSET

My research focuses on real-time load parameter identification for the modeling and control of distribution networks. The goal is to develop a tool that can estimate load parameters in real-time, which is essential for understanding the load behavior and enabling rapid responses to support the electrical grid, such as through demand-side management. My work involves step-by-step analysis and proof of concept implementation in a Power-Hardware in The Loop environment, where actual loads are supplied by a power amplifier simulating the grid implemented in a real-time simulator.

More information
 

Experience abroad

Time period:

January – April 2024

Institution:

FREDM Systems Center, North Carolina State University, NC, USA

Location:

Raleigh, NC, USA

I had the chance to spend several months at NC State under the guidance of Dr. Ning Lu, initiating a collaboration between KIT and NC State. During my time there, I was part of a new project examining how the complexity of load models influences the dynamic studies of power systems. We developed an initial benchmark model to be used in an AI-based decision-maker tool for selecting appropriate load models based on the specific study to be conducted. This project is part of the Center for Advanced Power Engineering Research (CAPER) initiative, where a collaboration of NC State with Clemson University and Duke Energy aims at enhancing modeling realism and industry applicability.
In addition to experiencing the working atmosphere and project-oriented research at a U.S. University, I benefited from high quality lectures and interactions with other students, which helped me better understand the differences between electrical grid systems in the US and Europe.
I was impressed by the spacious campus, facilities, and wide range of activities available to students. While NC State is a prestigious university in the engineering field, I found Raleigh to be smaller than I had imagined for a North American city. This allowed me to explore and enjoy the nature, lakes, forests and state parks of North Carolina, offering a refreshing perspective and perfect balance to the academic environment.

TPS: https://www.telecom-physique.fr/
RTSET: https://www.itep.kit.edu/rtset/english/index.php
FREEDM: https://www.freedm.ncsu.edu/
CAPER: https://caper-usa.com/

Publication list


Applications of Voltage-Based Power Control using Online Load Sensitivity Calculation
Courcelle, M.; Tao, Q.; De Carne, G.
2024. 2024 IEEE Power & Energy Society General Meeting (PESGM), 1–5, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PESGM51994.2024.10688776
Time-Varying Voltage Sensitivity of Residential Loads for Voltage-Led Power Control Applications
Tao, Q.; Courcelle, M.; De Carne, G.
2024, July 23. IEEE Power and Energy Society General Meeting Student Poster Session (IEEE PES GM 2024), Seattle, WA, USA, July 21–25, 2024
Experimental Investigation of Power-to-Voltage Sensitivity Profiles of Residential Loads for Load Management Studies
Tao, Q.; Courcelle, M.; Geis-Schroer, J.; Leibfried, T.; Carne, G. D.
2024. IEEE Transactions on Power Delivery, 1–12. doi:10.1109/TPWRD.2024.3457578
Perturbation-Based Load Sensitivity Identification for Solid-State Transformer-Based Load Control
Courcelle, M.; Tao, Q.; Geis-Schroer, J.; Leibfried, T.; De Carne, G.
2024. IEEE Transactions on Power Delivery, 1–12. doi:10.1109/TPWRD.2024.3453270
Power-to-Frequency Dependency of Residential Loads in a Wider Frequency Range: An Experimental Investigation
Geis-Schroer, J.; Tao, Q.; Courcelle, M.; Bock, G.; Suriyah, M.; Leibfried, T.; De Carne, G.
2024. IEEE Transactions on Industry Applications, 60 (6), 9184–9194. doi:10.1109/TIA.2024.3439498
Investigation of Frequency Dependency of Residential Loads in Modern Power Systems: An Experimental Approach
Tao, Q.; Geis-Schroer, J.; Courcelle, M.; Leibfried, T.; Carne, G. De
2023. 2023 11th International Conference on Power Electronics and ECCE Asia (ICPE 2023 - ECCE Asia), 329–334, Institute of Electrical and Electronics Engineers (IEEE). doi:10.23919/ICPE2023-ECCEAsia54778.2023.10213527
Methods Comparison for Load Sensitivity Identification
Courcelle, M.; Tao, Q.; Geis-Schroer, J.; Bruno, S.; Leibfried, T.; Carne, G.
2023. 2023 IEEE Belgrade PowerTech, Belgrade, Serbia, 25-29 June 2023, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PowerTech55446.2023.10202677
Synchronized Micro-Controllers-based Data Acquisition System for Energy Plants using Modbus Protocol
Courcelle, M.; Kottonau, D.; Carne, G.
2022. 2022 IEEE Energy Conversion Congress and Exposition (ECCE), 1–7, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ECCE50734.2022.9948022
The Potential of Frequency-Based Power Control in Distribution Grids
Tao, Q.; Geis-Schroer, J.; Wald, F.; Courcelle, M.; Langwasser, M.; Leibfried, T.; Liserre, M.; Carne, G.
2022. 2022 IEEE 13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG), 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PEDG54999.2022.9923112