YOUR BROWSER IS OUT-OF-DATE.

We have detected that you are using an outdated browser. Our service may not work properly for you. We recommend upgrading or switching to another browser.

Sign in

 

Faculty of Computer Science and Management

Daniel Bejmert, PhD

Email: daniel.bejmert@pwr.edu.pl

Unit: Faculty of Electrical Engineering » Department of Electrical Power Engineering

daniel_bejmert.jpg

ul. Janiszewskiego 8, 50-372 Wrocław
building D-20, room 418 (IV floor)
phone  +48 71 3493

Research fields

  • Methods of analog and digital signal processing; multicriterial and adaptive systems for power system protection and control; digital simulation of transient phenomena in power systems; artificial intelligence in power system protection and control algorithms.

Recent papers

2017

  • Bejmert D., Rebizant W., Böhme K., Herrmann H.J., Stabilization of frequency-based protection functions. W: PAC World Conference 2017 [Dokument elektroniczny]: conference proceedings: 26-29 June, 2017, Wroclaw, Poland. [Houston: PAC World, 2017]. s. 1-7.

2014

  • Bejmert D., Rebizant W., Schiel L., Transformer differential protection with fuzzy logic based inrush stabilization. International Journal of Electrical Power & Energy Systems. 2014, vol. 63, s. 51-63.
  • Bejmert D., Sidhu T.S., Investigation into islanding detection with capacitor insertion-based method. IEEE Transactions on Power Delivery. 2014, vol. 29, nr 6, s. 2485-2492.

2011

  • Bejmert D., Rebizant W., Wiszniewski A., Enhanced differential protection algorithm for tapped transmission lines. W: Trondheim PowerTech 2011: the power of technology for a sustainable society: proceedings, Trondheim, Norwegian, 19-23 June 2011. [Trondheim: Tapir Akademisk Forlag, 2011]. s. 1-8.

2008

  • Wiszniewski A., Rebizant W., Bejmert D., Schiel L., Ultrasaturation phenomenon in power transformers-myths and reality. IEEE Transactions on Power Delivery. 2008, vol. 23, nr 3, s. 1327-1334.

2007

  • Rebizant W., Bejmert D., Current-transformer saturation detection with genetically optymized neural networks. IEEE Transactions on Power Delivery. 2007, vol. 22, nr 2, s. 820-827.

Papers in DONA database

Politechnika Wrocławska © 2024