Power Electronics and Automation Group

group leader

prof. dr. sc. Dinko Vukadinović

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associates

doc. dr. sc. Mateo Bašić

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Research Topics

  1. Power electronics converters in renewable energy systems
  2. Control systems with induction machines
  3. Applications of artificial intelligence in control

Description of the Laboratory and equipment

The Power Electronics Research Laboratory (B310) is equipped with the following main laboratory equipment:

  • dSpace DS1103 controller board
  • dSpace DS1104 controller board
  • dSpace MicroLabBox system
  • Chroma 62050H-600S photovoltaic system emulator
  • Tektronix TDS 1002 oscilloscope
  • Tektronix MDO 3014 oscilloscope
  • Siglent SDS1104X-E oscilloscope
  • LEM IT 60-S current sensors
  • LEM CV 3-500 voltage sensors
  • Fluke 80i-110s current clamps
  • Four-quadrant converter SIMOREG DC-MASTER, type 6RA7031 (Siemens)
  • Torque transducers Magtrol TMB 308 and Magtrol TM 308
  • Programmable DC power supply SL50-30 (Magna-Power Electronics)
  • 300 V battery system
  • Battery tester BK Precision BA6011
  • 3.39 kW load resistors
  • Testo865 thermal imaging camera
project title

Electricity Production in Urban Areas using Solar and Wind Power - ELSOWIN

Project research activities

During this period, a system for the production of electricity will be investigated, which as potential sources of electricity includes a wind turbine (WT) with a self-excited induction generator (SEIG), a photovoltaic (PV) system, and batteries. The proposed system will be investigated both in the standalone and grid-tied mode. Research planned to be conducted over the next five years can be divided into the following guidelines:

1. Research in the field of SEIG control system

The integration of the sensorless SEIG vector control system with the PV system will take place based on previously conducted simulation and experimental research. The estimation of the SEIG speed will be based on the Model Reference Adaptive System (MRAS). The induction generators that will be considered differ with regard to construction (aluminum / copper rotor cage) and also with regard to the efficiency class (IE1 / IE3). An analysis of the impact of the complexity of the utilized SEIG mathematical model on the speed estimation accuracy and dynamic performance indicators will be conducted.

 

2. Research in the field of PV systems

The research will be conducted on a quasi Z-source inverter powered by a PV system. The focus of the research will be on finding the maximum power point of the PV system at different temperatures and irradiances, as well as under partial shading conditions.

 

3. Research in the field of battery system modeling

Theoretical and experimental research of the existing battery system will be carried out in order to determine its parameters. An algorithm will be developed to track the state of charge (SOC) of the batteries during system operation.

 

4. Power flow management in the analyzed electricity generation system

Strategies for managing the power flow of the entire system will be developed taking into account the available power from the PV and WT systems, and also the SOC of the battery system. Standalone and grid-tied operation modes will be individually analyzed, as well as transitions between these two modes of operation.