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Dr.-Ing. Nils Bornhorst

Senior Scientist

Location
Wilhelmshöher Allee 73
34121 Kassel
Room
WA-altes Gebäude (WA 73), without room specification

Career  (Dr.-Ing. Nils Bornhorst)

  • Oct. 2003 - Aug. 2009: Studied electrical engineering and information technology at the Technical University of Darmstadt
  • Aug. 2006 - Jan. 2007: Semester abroad at the École Nationale Supérieure d'Ingénieurs Electriciens de Grenoble (ENSIEG), France
  • Sep. 2009 - Aug. 2014: Research assistant at the Department of Communications Engineering Systems at the Technical University of Darmstadt
  • Dec. 2014: PhD in Electrical Engineering and Information Technology at the Technical University of Darmstadt with the dissertation "Energy-efficient distributed multicast beamforming using iterative second-order cone programming"
  • Jan. 2015 - Apr. 2016: Research assistant at the Department of Energy Management and Operation of Electrical Grids at the University of Kassel
  • May 2016 - Sep. 2022: Group leader at the Department of Energy Management and Operation of Electrical Grids at the University of Kassel
  • Feb. 2017 - May 2017, Aug. 2018 - Sep. 2019, Jul. 2021 - Sep. 2022: Parental leave
  • since Oct. 2022: Senior Scientist in the management team of the Department of Sustainable Electrical Energy Systems at the University of Kassel

Main research areas  (Dr.-Ing. Nils Bornhorst)

  • Optimization algorithms
  • Operation of distribution grids with a high share of renewable energies
  • State estimation of electrical grids
  • Machine learning for smart grids

Publications  (Dr.-Ing. Nils Bornhorst)

2024

N. Bornhorst and M. Braun, “A Computationally Efficient Method for Solving Mixed-Integer Optimal Power Flow Problems Including Stepwise Controllable Devices,” Electric Power Systems Research, p. ?, 2024.

2021

Z. Wang, Z. Liu, M. Kraiczy, N. Bornhorst, S. Wende - von Berg, and M. Braun, “Fast parallel quasi-static time series simulator for active distribution grid operation with pandapower,” in CIRED 2021 - The 26th International Conference and Exhibition on Electricity Distribution, CIRED, Ed. Institution of Engineering and Technology, 2021, pp. 1602–1606.
Z. Liu, Z. Wang, N. Bornhorst, M. Kraiczy, S. Wende-von Berg, T. Kerber, and M. Braun, “Optimized Characteristic-Curve-Based Local Reactive Power Control in Distribution Grids with Distributed Generators,” in ETG Congress 2021, ETG, Ed. VDE, 2021, pp. 1–6.
Z. Liu, J.-H. Menke, N. Bornhorst, and M. Braun, “Static Grid Equivalent Models Based on Artificial Neural Networks,” IEEE Access, vol. 9, pp. 168535–168546, 2021.

2020

Z. Liu, N. Bornhorst, S. Wende-von Berg, and M. Braun, “A grid equivalent based on artificial neural networks in power systems with high penetration of distributed generation with reactive power control,” in NEIS 2020; Conference on Sustainable Energy Supply and Energy Storage Systems, NEIS, Ed. VDE, 2020, pp. 1–7.
Z. Liu, S. Wende-von Berg, G. Banerjee, N. Bornhorst, T. Kerber, A. Maurus, and M. Braun, “Adaptives statisches Netzäquivalent mit künstlichen neuronalen Netzen,” in 16. SYMPOSIUM ENERGIEINNOVATION, Institut für Elektrizitätswirtschaft und Energieinnovation, Ed. 2020, pp. 1–11.

2019

M. Kreutziger, P. Schegner, S. Wende - von Berg, M. Braun, and N. Bornhorst, “Reactive Power Management of Distributed Generators for Selective Voltage Optimization in 110-kV-Subtransmission Grids,” in NEIS 2018, D. Schulz, Ed. Berlin: VDE VERLAG GMBH, 2019, pp. 1–7.
J.-H. Menke, N. Bornhorst, and M. Braun, “Distribution System Monitoring for Smart Power Grid with Distributed Generation Using Artificial Neural Networks.” 2019.
J.-H. Menke, N. Bornhorst, and M. Braun, “Distribution system monitoring for smart power grids with distributed generation using artificial neural networks,” International Journal of Electrical Power & Energy Systems, vol. 113, pp. 472–480, 2019.

2018

S. Meinecke, N. Bornhorst, and M. Braun, “Power system benchmark generation methodology,” in NEIS 2018; Conference on Sustainable Energy Supply and Energy Storage Systems, NEIS 2018, Ed. VDE, 2018, pp. 1–6.
O. O. Khamisoy, T. S. Chernova, J. W. Bialek, S. H. Low, P. A. Butyrin, G. G. Gusev, D. V. Mikheev, F. N. Shakirzianov, S. Meinecke, N. Bornhorst, and M. Braun, “NEIS 2018. Conference on Sustainable Energy Supply and Energy Storage Systems,” Power, vol. 173, no. 178, p. TBD, 2018.

2017

F. Meier, L. Thurner, G. Lammert, J.-H. Menke, D. Fetzer, E. Drayer, N. Bornhorst, and M. Braun, “SmartGridModels: Modelle und Netzanalysen zukünftiger Smart Grids: öffentlicher Projektabschlussbericht der Universität Kassel, Fachgebiet Energiemanagement und Betrieb.” Universität Kassel, Fachgebiet Energiemanagement und Betrieb elektrischer Netze, 2017.

2016

A. Szabo, J. Goetz, S. Wende-von Berg, M. Braun, T. Stetz, M. Kreutziger, F. Hinz, S. Gehler, N. Bornhorst, W. Becker, J. Schwedler, E. Habermann, U. Schmidt, E. Schneider, H. Hänchen, and U. Zickler, “Beiträge von Flächenverteilnetzen zur Erbringung von Systemdienstleistungen - Technische Anwendungsszenarien,” in OTTI Zukünftige Stromnetze für Erneuerbare Energien, Lars Waldmann, Ed. Berlin, Germany: TBD, 2016, p. TBD.
S. Wende-von Berg, N. Bornhorst, S. Gehler, E. Schneider, H. Hänchen, T. Pilz, K. Seidl, U. Zickler, M. Braun, U. Schmidt, T. Wagner, J. Götz, J. Schwedler, and E. Habermann, “SysDL 2.0 - Systemdienstleistungen aus Flächenverteilnetzen: Methoden und Anwendungen,” in 14. Symposium Energieinnovation 2016, TBD, Ed. Graz, Austria: TBD, 2016, p. TBD.

2015

N. Bornhorst, “Energy-efficient distributed multicast beamforming using iterative second-order cone programming,” Darmstadt, Germany, 2015.
N. Bornhorst, “Filter-and-forward beamforming with adaptive decoding delays in asynchronous multi-user relay networks,” Signal Processing, vol. 109, pp. 132–147, 2015.

2013

N. Bornhorst, “Filter-and-forward beamforming in asynchronous relay networks,” in Proc. IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC’13), IEEE, Ed. Darmstadt, Germany: IEEE, 2013, pp. 375–379.

2012

N. Bornhorst, “An extended interior-point method for transmit beamforming in multi-group multicasting,” in Proc. European Signal Processing Conference (EUSIPCO’12), EURASIP, Ed. Bucharest, Romania: IEEE, 2012, pp. 6–10.
N. Bornhorst, “Distributed beamforming for multi-group multicasting relay networks,” IEEE Transactions on Signal Processing, vol. 60, no. 1, pp. 221–232, 2012.
N. Bornhorst, “Optimal and suboptimal beamforming for multi-operator two-way relaying with a MIMO amplify-and-forward relay,” in International IEEE/ITG Workshop on Smart Antennas (WSA’12), IEEE, Ed. Dresden, Germany: IEEE, 2012, pp. 307–311.
N. Bornhorst, “Beamforming for multi-group multicasting with statistical channel state information using second-order cone programming,” in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’12), IEEE, Ed. Kyoto, Japan: IEEE, 2012, pp. 3237–3240.

2011

N. Bornhorst, “An iterative convex approximation approach for transmit beamforming in multi-group multicasting,” in Proc. IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC’11), IEEE, Ed. San Francisco, CA, USA: IEEE, 2011, pp. 411–415.
N. Bornhorst, “Distributed beamforming for multiuser peer-to-peer and multi-group multicasting relay networks,” in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’11), IEEE, Ed. Prague, Czech Republic: IEEE, 2011, pp. 2800–2803.