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Christian A. Hans

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Address

Dr.-Ing. Christian A. Hans

Technische Universität Berlin
Fachgebiet Regelungssysteme
Sekretariat EN11
Einsteinufer 17
D-10587 Berlin
Germany
Office: EN 240 (Elektrotechnik Neubau)
Phone: +49 30 314-23573
Email: hans@control.tu-berlin.de

Research

My research bridges the gap between methods from automatic control theory and applications in future power systems with highly uncertain and decentralized renewable generation. The overall goal of my work is to enable electric power grids with a very high share of renewable energy sources using automatic control and optimisation. In this context, I am especially interested in

  • model predictive operation control and
  • time-series forecasting as well as
  • distributed and decentralized control.

Brief Biography

I am a postdoctoral researcher with the Control Systems Group ("Fachgebiet Regelungssysteme") at the Department of Electrical Engineering and Computer Science at Technische Universität (TU) Berlin. I received a PhD degree (Dr.-Ing., with distinction) from TU Berlin in 2021 and a Diploma from RWTH Aachen University in 2011. During my doctoral studies, I was a visiting scholar with the Dynamical Systems, Control, and Optimization Research unit at the IMT School for Advanced Studies Lucca, Italy in 2015. Before joining TU Berlin, I worked from 2011 to 2015 as an engineering expert at Younicos AG (now Aggreko plc), Berlin, Germany, developing control algorithms for low-inertia microgrids. I am a member of IEEE as well as the Energy System Transition Network.

Teaching

Consulting Times

By appointment via email.

Publications

Doctoral Thesis

C. A. Hans. Operation control of islanded microgrids, Shaker Verlag, 2021.

Preprints

A. Grapentin, A. Sterle, J. Raisch, C. A. Hans. LQ Optimal Control for Power Tracking Operation of Wind Turbines. Preprint, 2022. arXiv:2211.07690 [eess.SY].
A. K. Sampathirao, S. Hofmann, J. Raisch, C. A. Hans. Distributed Conditional Cooperation Model Predictive Control of Interconnected Microgrids. Preprint, 2021. arXiv:1810.03361v2 [cs.SY].

Journal Articles

C. A. Hans, P. Sopasakis, J. Raisch, C. Reincke-Collon, P. Patrinos. Risk-Averse Model Predictive Operation Control of Islanded Microgrids. IEEE Transactions on Control Systems Technology, 28 (6):2136–2151, 2020.
C. A. Hans, P. Braun, J. Raisch, L. Grüne, C. Reincke-Collon. Hierarchical Distributed Model Predictive Control of Interconnected Microgrids. IEEE Transactions on Sustainable Energy, 10 (1):407–416, 2019.
J. Schiffer, C. A. Hans, T. Kral, J. Raisch, R. Ortega. Modelling, Analysis and Experimental Validation of Clock Drift Effects in Low-Inertia Power Systems. IEEE Transactions on Industrial Electronics, 64 (7):5942–5951, 2017.

Patents

T. Kral, C. A. Hans, P. Merk. System for handling short circuits on an electrical network. 2020. U.S. Patent No. 10,756,536.

Conference Proceedings

J. Lei, C. A. Hans, P. Sopasakis. Optimal operation of microgrids with risk-constrained state of charge. In European Control Conference (ECC), pages 2116–2122, 2021.
C. A. Hans, E. Klages. Very Short Term Time-Series Forecasting of Solar Irradiance Without Exogenous Inputs. In 6th International Conference on Time Series and Forecasting (ITISE), pages 1007–1018, Granada, Spain, 2019.
A. Krishna, C. A. Hans, J. Schiffer, J. Raisch, T. Kral. Steady state evaluation of distributed secondary frequency control strategies for microgrids in the presence of clock drifts. In 25th Mediterranean Conference on Control and Automation (MED), pages 508–515, Valletta, Malta, 2017.
H. Zhou, C. A. Hans, W. Zhang. Minimax model predictive operation control of grid-connected microgrids. In IEEE Conference on Control Applications (CAA), pages 58–63, Buenos Aires, Argentina, 2016.
C. A. Hans, P. Sopasakis, A. Bemporad, J. Raisch, C. Reincke-Collon. Scenario-Based Model Predictive Operation Control of Islanded Microgrids. In 54th IEEE Conference on Decision and Control (CDC), pages 3272–3277, Osaka, Japan, 2015.
C. A. Hans, V. Nenchev, J. Raisch, C. Reincke-Collon. Approximate Closed-Loop Minimax Model Predictive Operation Control of Microgrids. In European Control Conference (ECC), pages 241–246, Linz, Austria, 2015.
V. Nenchev, C. A. Hans. Optimal Adaptive Predictive Control of a Combustion Engine. In European Control Conference (ECC), pages 1409–1413, Linz, Austria, 2015.
J. Schiffer, R. Ortega, C. A. Hans, J. Raisch. Droop-Controlled Inverter-Based Microgrids are Robust to Clock Drifts. In American Control Conference (ACC), pages 2341–2346, Chicago, IL, USA, 2015.
C. A. Hans, V. Nenchev, J. Raisch, C. Reincke-Collon. Minimax Model Predictive Operation Control of Microgrids. In 19th IFAC World Congress, pages 10287–10292, Cape Town, South Africa, 2014.

Presentations

Hierarchical distributed model predictive control of interconnected microgrids. 14th Viennese Conference on Optimal Control and Dynamic Games, Special Session on Model based control: analysis and modelling, Vienna, Austria, 2018.
Slides

Supervised Theses

T. A. Schenck. Distributed stochastic model predictive control of interconnected microgrids. Master Thesis, TU Berlin, Germany, 2022.
J. M. Pocher. Modell predictive primary frequency control using battery power plants. Bachelor Thesis, TU Berlin, Germany, 2021.
A. Bellaaj. Operation control of multimodal microgrids. Bachelor Thesis, TU Berlin, Germany, 2021.
S. C. Petznick. Neural-network-based learning of storage dynamics for model predictive control of microgrids. Bachelor Thesis, TU Berlin, Germany, 2021.
L. Möller. Entwurf und Analyse einer Regelung für eine vertikale Windturbine mit Pitchoptimierung. Bachelor Thesis, TU Berlin, Germany, 2021.
P. Zitzlaff. Distributed Secondary Voltage Control of Islanded Microgrids with Reactive Power Sharing. Master Thesis, TU Berlin, Germany, 2017.
A. Schödl. Distributed Model Predictive Secondary Voltage Control of Islanded Microgrids. Master Thesis, TU Berlin, Germany, 2017.
A. Forel. Distributed Model Predictive Operation Control of Interconnected Microgrids. Master Thesis, TU Berlin, Germany, KTH, Stockholm, Schweden ENSE3, Grenoble, France, 2017.
J. Theune. Distributed Model Predictive Secondary Control of Islanded Microgrids. Master Thesis, TU Berlin, Germany, 2016.
E. Klages. Time Series Based Forecasting of Renewable Power Infeed for the Operation of Microgrids. Master Thesis, TU Berlin, Germany, 2016.
H. Zhou. Grid Connected Model Predictive Operation Control of Microgrids. Bachelor Thesis, TU Berlin, Germany, 2015.
J. Hofmeister. Evaluation von Verfahren zur Testautomatisierung in der modellbasierten Entwicklung von Regelungen für Leistungselektronik. Bachelor Thesis, HS Anhalt, Germany, 2014.
R. Reibsch. Entwicklung und Untersuchung von Kurzschlussstrategien für netzbildende Wechselrichter. Diploma Thesis, TU Berlin, Germany, 2014.


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