Daniel Weber

Leistungselektronik und Elektrische Antriebstechnik (LEA)

Wissenschaftlicher Mitarbeiter

Reinforcement Learning in Microgrids

Büro­anschrift:
Pohlweg 55
33098 Paderborn
Raum:
E4.324

Publikationen

Aktuelle Publikationen

ElectricGrid.jl - A Julia-based modeling and simulationtool for power electronics-driven electric energy grids

O. Wallscheid, S. Peitz, J. Stenner, D. Weber, S. Boshoff, M. Meyer, V. Chidananda, O. Schweins, Journal of Open Source Software 8 (2023).

Hybrid control of interconnected power converters using both expert-driven droop and data-driven reinforcement learning approaches

S. Boshoff, J. Stenner, D. Weber, M. Meyer, V. Chidananda, S. Peitz, O. Wallscheid, in: IEEE Power and Energy Student Summit (PESS), VDE, 2023, pp. 124–129.

ElectricGrid.jl – Automated modeling of decentralized electrical energy grids

M. Meyer, D. Weber, V. Chidananda, O. Schweins, J. Stenner, S. Boshoff, S. Peitz, O. Wallscheid, in: IEEE Power and Energy Student Summit (PESS), VDE, 2023, pp. 112–117.

Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments

D. Weber, S. Heid, H. Bode, J. Lange, E. Hüllermeier, O. Wallscheid, IEEE Access 9 (2021) 35654–35669.

Emulation of Microgrids for Research and Validation of Control and Operation Strategies

K.S.C. Stille, D. Weber, J. Lange, T. Vogt, O. Wallscheid, J. Böcker, in: 2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), IEEE, 2020.

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