Model Predictive Control for 17-Levels Inverter in PV systems
Konferenz: PCIM Europe 2022 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management
10.05.2022 - 12.05.2022 in Nürnberg, Germany
doi:10.30420/565822255
Tagungsband: PCIM Europe 2022
Seiten: 6Sprache: EnglischTyp: PDF
Autoren:
Abdelrahem, Mohamed (Department of Electrical Engineering, Faculty of Engineering, Assiut University, Assiut, Egypt)
Bin Arif, M. Saad (Department of Electrical Engineering, Zakir Husain College of Engineering and Technology, Aligarh Muslim University (AMU), Aligarh, India)
Harbi, Ibrahim; Ahmed, Mostafa; Kennel, Ralph (Department of Electrical Engineering, Faculty of Engineering, Assiut University, Assiut, Egypt & School of Engineering and Design, Technical University of Munich (TUM), Munich, Germany)
Inhalt:
Multilevel Inverters (MLIs) are considered the preferred converters for medium voltage high-power applications. They have several advantages like modularity, lower switching stress and better power quality. However, the number of components used in MLIs is significant. This paper proposes a new 17-level multilevel inverter (17L-MLI) for photovoltaic (PV) systems controlled by model predictive control (MPC) technique. The proposed topology uses 6 two-quadrant switches, 3 four-quadrant switches, 2 DC sources, and 4 capacitors. The capacitors are self-balancing, and accordingly, the control of the proposed 17L-MLI is simple. The finite-control-set MPC (FCS-MPC) is employed to control the proposed 17L-MLI. The performance of the proposed 17L-MLI is validated by experimental results using hardware in the loop (HIL) system.