Model Predictive Control for 17-Levels Inverter in PV systems

Mohamed Abdelrahem, M. Saad Bin Arif, Ibrahim Harbi, Mostafa Ahmed, Ralph Kennel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationPCIM Europe 2022
PublisherMesago PCIM GmbH
Pages1848-1853
Number of pages6
ISBN (Print)9783800758227
DOIs
StatePublished - 2022
EventInternational Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2022 - Nuremberg, Germany
Duration: 10 May 202212 May 2022

Publication series

NamePCIM Europe Conference Proceedings
ISSN (Electronic)2191-3358

Conference

ConferenceInternational Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2022
Country/TerritoryGermany
CityNuremberg
Period10/05/2212/05/22

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