A New Five-Level Grid-Connected PV Inverter Topology Controlled By Model Predictive

Maryam Sarebanzadeh, Mohammad Ali Hosseinzadeh, Cristian Garcia, Ebrahim Babaei, Alireza Jolfaei, Jose Rodriguez, Ralph Kennel

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

4 Zitate (Scopus)

Abstract

The transformer-based inverters in PV systems increase the weight, size, and cost of the inverter while reducing efficiency. This research presents a new PV inverter topology to increase efficiency using a reduction of dc-link. The proposed multilevel inverter is comprised of six power switches, one discrete diode, and three capacitors to produce five voltage levels. The proposed inverter is connected to a PV panel at input and a local grid at output to inject a sinusoidal current waveform into the grid. To control the grid current, a finite set model predictive control is needed to evaluate the proposed inverter. A comparison study is carried out between the proposal and other five-level inverters to verify the strengths and weaknesses of the proposed multilevel inverter. Finally, to demonstrate the performance of the proposed multilevel inverter, the simulation results are presented in the MATLAB/Simulink environment.

OriginalspracheEnglisch
TitelIECON 2022 - 48th Annual Conference of the IEEE Industrial Electronics Society
Herausgeber (Verlag)IEEE Computer Society
ISBN (elektronisch)9781665480253
DOIs
PublikationsstatusVeröffentlicht - 2022
Veranstaltung48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022 - Brussels, Belgien
Dauer: 17 Okt. 202220 Okt. 2022

Publikationsreihe

NameIECON Proceedings (Industrial Electronics Conference)
Band2022-October
ISSN (Print)2162-4704
ISSN (elektronisch)2577-1647

Konferenz

Konferenz48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022
Land/GebietBelgien
OrtBrussels
Zeitraum17/10/2220/10/22

Fingerprint

Untersuchen Sie die Forschungsthemen von „A New Five-Level Grid-Connected PV Inverter Topology Controlled By Model Predictive“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren