M
Marco Liserre
Researcher at University of Kiel
Publications - 696
Citations - 40149
Marco Liserre is an academic researcher from University of Kiel. The author has contributed to research in topics: Power electronics & Transformer. The author has an hindex of 76, co-authored 604 publications receiving 33175 citations. Previous affiliations of Marco Liserre include Aalborg University & University of Bari.
Papers
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Proceedings ArticleDOI
Industrial electronics for renewable energy
TL;DR: In this article, the authors have discussed the issues related to renewable energy systems technology and knowledge transfer in the context of international conferences/workshops and educational programs, including energy conversion, storage and transportation, control, monitoring and communication.
Studyoftheeffects ofnon-linearinductance on the performanceofresonant and repetitive controllers
TL;DR: In this paper, the effects of non-linear inductance on the performance of current controllers based on theIMP are investigated, and the robustness of the current controllers has been evaluated.
Proceedings Article
Comparative Study of Single-phase and Three-phase DAB for EV Charging Application
TL;DR: In this article , the impact of the battery state-of-charge (SoC) variation relative to the grid-side DC voltage is studied in a V2G application.
Journal ArticleDOI
Common DC-Link Capacitor Harmonic Current Minimization for Cascaded Converters by Optimized Phase-Shift Modulation
Xuanyi Zhou,Wei Juin Choy,Abraham Marquez Alcaide,Shuo Wang,Sandro Guenter,Jose I. Leon,Vito Giuseppe Monopoli,Leopoldo G. Franquelo,Marco Liserre,Michael Galea,Chris Gerada,Giampaolo Buticchi +11 more
TL;DR: In this paper , the authors investigated the influence of a constant carrier phase shift on the DC-link capacitor harmonic current of cascaded converters used in fuel-cell and mild-hybrid electric vehicles.
Journal ArticleDOI
Optimization of EV-Fast Charging Station Placement for Grid Support
TL;DR: The theoretical basis of the functionalities is introduced and an algorithm for optimized placement of fast charging stations (FCS) in the grid is introduced to maximize the hosting capacity for home charging facilities (HCFs).