Dr. A. (Aleksandra) Lekic

Dr. A. (Aleksandra) Lekic

Profiel

Projecten

Aleksandra is involved in the following projects:

  • InterOPERA, as a principal investigator from TU Delft
  • SUNRISE, as a principal investigator from TU Delft and WP3 lead
  • EASY-RES, as task 6.4 lead - finished project

Biografie

Aleksandra received the B.S., M.S., and Ph.D. degrees in electrical engineering from the School of Electrical Engineering, University of Belgrade, Belgrade, Serbia, in 2012, 2013, and 2017, respectively.  Between 2012 and 2018 she has been a Teaching Assistant with the School of Electrical Engineering, University of Belgrade, and an Assistant Professor from 2018 to 2019. In 2019 she worked as a Postdoctoral Researcher at the Department of Electrical Engineering ESAT – ELECTA, KU Leuven and in the Institute EnergyVille, Genk, Belgium. From January 2020, Aleksandra works as an Assistant Professor at TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science. 
 Aleksandra leads a team of researchers (six Ph.D. and four postdoctoral researchers) specializing in the Control of HVDC/AC power systems. She is an Associate Editor in the    International Journal of Electrical Power & Energy Systems, Elsevier. She is also a Technical Director of the    Power System Protection Centre. Aleksandra represents TU Delft in the General Assembly in the    CRESYM organization, committed to open-source software development for the electrical grids.
 
Research team

Prijzen

Expertise

Aleksandra's research topics are related to the circuit theory, control, and stability analysis of nonlinear switching power converters and hybrid power systems employing power electronics. She has worked on circuit theory concepts applied to multiport power system analysis, with a special focus on HVDC systems; harmonic stability assessment of the hybrid power systems consisting of the passive and active components: impedance-based MMC and other VSC modeling. Also, she has developed multiple nonlinear controlling algorithms relying on the Lyapunov theory, and model predictive control methods used for stable and efficient control of switching converters and the systems consisting of renewable sources (like PV panels) and power converters. 

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