Biography

Education
  • PhD Degree in Electrical Engineering, KTH Royal Institute of Technology, Stockholm, Sweden, School of Electrical Engineering, Electric Power Systems (EPS) division. Joint degree of KTH Royal Institute of Technology, TU Delft and Comillas Pontifical University.
  • Master’s Degree in Electrical and Computer Engineering (MSECE), University of Novi Sad, Novi Sad, Faculty of Technical Sciences, Power Electronics and Electrical Machines program.
Professional experience
  • Senior Power System Consultant at GE Energy Consulting, Munich, Germany
  • Senior Business Analyst TSCNET Services GmbH, Business Development Team, Munich, Germany
  • Senior Power System Engineer/Business Analyst at Alstom Grid UK Limited (GE Grid Solutions), R&D department, GE WAMS Center of Excellence, Edinburgh, UK.
  • Power System Engineer at Telvent DMS LLC, Novi Sad, Serbia (present day Schneider Electric DMS NS).

Research interest

  • Power system dynamics
  • Integration of renewable energy sources into the grid
  • System identification and control theory

Publications

2021

  • Behzadi, Amirmohammad; Arabkoohsar, Ahmad; Perić, Vedran S: Innovative hybrid solar-waste designs for cogeneration of heat and power, an effort for achieving maximum efficiency and renewable integration. Applied Thermal Engineering 190, 2021, 116824 more…
  • Licklederer, Thomas; Hamacher, Thomas; Kramer, Michael; Perić, Vedran S: Thermohydraulic model of Smart Thermal Grids with bidirectional power flow between prosumers. Energy 230, 2021, 120825 more…

2020

  • Boersma, Sjoerd; Bombois, Xavier; Vanfretti, Luigi; Perić, V; Gonzalez-Torres, Juan Carlos; Segur, Roman; Benchaib, Abdelkrim: Enhanced power system damping estimation via optimal probing signal design. 2020 22nd European Conference on Power Electronics and Applications (EPE'20 ECCE Europe), 2020 more…
  • Kamal, Tariq; Karabacak, Murat; Perić, Vedran S; Hassan, Syed Zulqadar; Fernández-Ramírez, Luis M: Novel Improved Adaptive Neuro-Fuzzy Control of Inverter and Supervisory Energy Management System of a Microgrid. Energies 13 (18), 2020, 4721 more…
  • Kleinschmidt, Verena; Hamacher, Thomas; Perić, Vedran; Hesamzadeh, Mohammad Reza: Unlocking flexibility in multi-energy systems: A literature review. 2020 17th International Conference on the European Energy Market (EEM), 2020 more…
  • Perić, Vedran S; Hamacher, Thomas; Mohapatra, Anurag; Christiange, Franz; Zinsmeister, Daniel; Tzscheutschler, Peter; Wagner, Ulrich; Aigner, Christian; Witzmann, Rolf: CoSES laboratory for combined energy systems at TU Munich. 2020 IEEE Power & Energy Society General Meeting (PESGM), 2020 more…
  • Sezgin, Erhan; Mohapatra, Anurag; Peric, Vedran: Fast harmonic estimation using real-time embedded controllers in CoSES smart grid. 10th Energy Colloquium of the Munich School of Engineering, 2020 more…

2019

  • Colombari, Luan FS; Kuiava, Roman; Peric, Vedran; Ramos, Rodrigo A: Continuation load flow considering discontinuous behaviors of distribution grids. IEEE Transactions on Power Systems 34 (5), 2019, 3476--3483 more…

2017

  • Bogodorova, Tetiana; Vanfretti, Luigi; Perić, Vedran S; Turitsyn, Konstantin: Identifying uncertainty distributions and confidence regions of power plant parameters. IEEE Access 5, 2017, 19213--19224 more…
  • Perić, Vedran; Bombois, Xavier; Vanfretti, Luigi: Optimal multisine probing signal design for power system electromechanical mode estimation. Proceedings of the 50th Hawaii International Conference on System Sciences, 2017 more…

2016

  • Baudette, Maxime; Singh, Ravi Shankar; Perić, Vedran S; Løvlund, Stig; Vanfretti, Luigi: ‘In silico’testing of a real-time PMU-based tool for power system mode estimation. 2016 IEEE Power and Energy Society General Meeting (PESGM), 2016 more…
  • Perić, Vedran S; Vanfretti, Luigi: Optimal PMU placement for power system ambient data-based mode estimation applications. 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2016 more…

2015

  • Peric, Vedran S; Bogodorova, Tetiana; Mete, Ahmet N; Vanfretti, Luigi: Model order selection for probing-based power system mode estimation. 2015 IEEE Power and Energy Conference at Illinois (PECI), 2015 more…
  • Perić, Vedran S; Bombois, Xavier; Vanfretti, Luigi: Optimal signal selection for power system ambient mode estimation using a prediction error criterion. IEEE Transactions on Power Systems 31 (4), 2015, 2621--2633 more…

2014

  • Perić, Vedran S; Baudette, Maxime; Vanfretti, Luigi; Gjerde, Jan O; Løvlund, Stig: Implementation and testing of a real-time mode estimation algorithm using ambient PMU data. 2014 Clemson University Power Systems Conference, 2014 more…

2013

  • Vanfretti, Luigi; Aarstrand, Vemund H; Almas, M Shoaib; Perić, Vedran S; Gjerde, Jan O: A software development toolkit for real-time synchrophasor applications. 2013 IEEE Grenoble Conference, 2013 more…
  • Vanfretti, Luigi; Bengtsson, Sebastian; Perić, Vedran S; Gjerde, Jan O: Spectral estimation of low-frequency oscillations in the Nordic grid using ambient synchrophasor data under the presence of forced oscillations. 2013 IEEE Grenoble Conference, 2013 more…

2012

  • Perić, Vedran S; Sari\, ́ Andrija T; Grabež, Dejan I: Coordinated tuning of power system stabilizers based on Fourier Transform and neural networks. Electric power systems research 88, 2012, 78--88 more…
  • Vanfretti, Luigi; Bengtsson, Sebastian; Perić, Vedran S; Gjerde, Jan O: Effects of forced oscillations in power system damping estimation. 2012 IEEE International Workshop on Applied Measurements for Power Systems (AMPS) Proceedings, 2012 more…