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Implementation of flexibility sources and advanced control algorithms to support modern power systems with a high share of renewable energy sources

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Full Professor

Tomislav Kilić

After completing his graduate studies he joined the Radio Industry Zagreb (RIZ) in 1986 and was engaged in the development and design of electronic weight systems. Since 1987, he has been working at at the Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture in Split, where he advanced through academic positions, from assistant to full professor in permanent position. He spent three months on professional training at GEM SYSTEMS, Toronto, Canada. Throughout his career, he has been involved in numerous government and industry-sponsored projects.
Prof. dr. sc. Kilić held the positions of Head of the Department, Vice-Dean for Education for two terms, Dean for two terms, and Vice-Rector of the University of Split for two terms. His research areas include power quality and measurements of electrical and process quantities.

Contact

  • Email: tomislav.kilic@fesb.hr
Tomislav Kilić

Expertises

  • O1 - Improvement of flexibility sources models
    Development of accurate and computationally efficient dynamic models of key flexibility sources, such as…
  • O6 - HIL testing of the developed control algorithms
    Validation of the effectiveness of the developed models, control algorithms, and optimization models through…
  • O4 - Hybrid converter prototype development
    Development and testing of a simulation model of a hybrid energy converter, commissioning and testing of basic…
  1. FLEXsys
  2. Research team
  3. Tomislav Kilić

Implementation of flexibility sources and advanced control algorithms to support modern power systems with a high share of renewable energy sources.

  • O1 - Improvement of flexibility sources models
  • O2 - Advanced control algorithms + AI forecasting tools
  • O3 - Microgrid flexibility optimization models
  • O4 - Hybrid converter prototype development
  • O5 - Dynamic stability transient analysis - EMT + AI
  • O6 - HIL testing of the developed control algorithms
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