Power electronics and automation

group leader

prof. Dinko Vukadinović, PhD

associates

prof. Mateo Bašić, PhD
assist. prof. Ivan Grgić, PhD

Research topics

  1. Power electronic converters in renewable energy systems
  2. Control systems with induction and switched reluctance machines
  3. Applications of artificial intelligence in control systems

Description of laboratory and equipment

The Power Electronics Research Laboratory is equipped with the following main laboratory equipment:

  • dSpace DS1103 controller board
  • dSpace DS1104 controller boards
  • dSpace MicroLabBox system
  • power analyzer Fluke Norma 4000
  • power analyzer R&S HMC8015
  • Programmable DC power supply Chroma 62050H-600S
  • Tektronix MDO 3014 oscilloscope
  • Siglent SDS1104X-E oscilloscopes
  • Siglent SDS5034X oscilloscope
  • LEM IT 60-S current sensors
  • LEM CV 3-500 voltage sensors
  • Fluke 80i-110s current clamps
  • Four-quadrant converters (Siemens)
  • Torque transducers Magtrol TMB 308 and Magtrol TM 308
  • Programmable DC power supply SL50-30 (Magna-Power Electronics)
  • 300 V battery system
  • 3.39 kW load resistors
  • Testo865 thermal imaging camera
  • electronic loads iTECH IT8615
  • Testec TT-CC 770 current clamps
  • LARA 100 power box
  • Hyundai N700 inverter rated at 5.5 kW

Contacts with academic and other institutions

  • VNU University of Engineering and Technology, Faculty of Information Technology (VNU-UET), Hanoi, Vietnam
  • Thái Nguyên University (TNU), Vietnam
  • Duy Tân University, Institute for Research and Development, Da Nang, Vietnam
  • École Supérieure des Sciences Appliquées d’Alger, Algeria
  • University of Cádiz, Escuela Técnica Superior de Ingeniería de Algeciras, Department for electrical technology, Spain
  • Austrian Institute of Technology (AIT), Vienna, Austria

 

project title

Electricity Production in Urban Areas using Solar and Wind Power (ELSOWIN)

Description of research in a 1-year term

During this period, the research will be conducted in two directions. The first direction focuses on quasi-Z-type and Split-Source-type power semiconductor converters within a power generation system using photovoltaic (PV) sources and batteries as energy sources. Both power converters will be built with silicon carbide (SiC) MOSFET transistors that typically operate at switching frequencies above 10 kHz. Model predictive control (MPC) and pulse width modulation (PWM) methods are used to control the power converters. The influence of the state of charge (SoC) and state of health (SoH) of the battery on the operation of the power generation system will also be analyzed.

The proposed system will be investigated both in stand-alone mode and when connected to the electricity distribution grid. The planned maximum output power of the system is 3.5 kW.

In addition, the possibility of real-time search for the optimal commutation angle of a switched reluctance generator operating in single-pulse mode and fed by an asymmetric bridge converter will be investigated.

The simulation studies will be carried out in MATLAB/Simulink, together with experimental investigations with corresponding laboratory prototypes.