Non-Isolated Current-Fed Series Resonant Converter with Hybrid Control Algorithms for DC Microgrid
Byungki Kim and
Hwa-Pyeong Park ()
Additional contact information
Byungki Kim: Power System Research Team, Korea Institute of Energy Research (KIER), Jeju 63357, Republic of Korea
Hwa-Pyeong Park: School of Electronics Engineering, Kumoh National Institute of Technology (KIT), Gumi 39177, Republic of Korea
Energies, 2023, vol. 16, issue 16, 1-16
Abstract:
Module-level power electronics can optimize the power generation of photovoltaic panels, which requires a simple topology structure, high power conversion efficiency, and wide voltage gain, corresponding to irradiance variations. This paper proposes a non-isolated current-fed L-C series resonant converter and its control algorithms. The proposed converter can obtain a buck–boost voltage gain with the hybrid control algorithm utilizing the switching frequency modulation and asymmetric pulse width modulation. The proper power stage design can guarantee the soft-switching capability for the entire operating range. Also, the control strategy is designed to obtain a small rms current. The operational principle of proposed converter is analyzed in order to design the resonant tank and control strategy. The performance of designed converter can be verified with the experimental results with a 500 W prototype converter.
Keywords: photovoltaic systems; DC optimizer; DC/DC converter; soft switching (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/1996-1073/16/16/6029/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/16/6029/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:16:p:6029-:d:1219226
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().