Adaptive Energy Management Control for Efficiency Improvement of Supercapacitor-Based Energy Recovery System

Ģirts Staņa, Martin Makar and Kaspars Kroičs ()
Additional contact information
Ģirts Staņa: Institute of Industrial Electronics, Electrical Engineering and Energy, Riga Technical University, LV-1048 Riga, Latvia
Martin Makar: Faculty of Electrical Engineering and Computing, University of Zagreb, HR-10000 Zagreb, Croatia
Kaspars Kroičs: Institute of Industrial Electronics, Electrical Engineering and Energy, Riga Technical University, LV-1048 Riga, Latvia

Energies, 2025, vol. 18, issue 2, 1-21

Abstract: The efficiency of the DC microgrid can be improved by adding additional energy storage to recover regenerative braking energy. Supercapacitors are well suited for such applications. To make such devices easily connectable to the existing grid, it is beneficial to measure the voltage of the DC bus. The paper proposes a method on how to estimate load current indirectly from this voltage measurement. Estimated current is used in the developed energy management algorithm that adapts current reference of an energy storage system to discharge stored energy in the most energy efficient way. The paper presents simulation and experimental results and shows in some cases efficiency improvement even by more than five percent.

Keywords: DC microgrid; energy storage; DC-DC converter; supercapacitors; efficiency; energy management; control strategies (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: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/18/2/336/pdf (application/pdf)
https://www.mdpi.com/1996-1073/18/2/336/ (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:18:y:2025:i:2:p:336-:d:1566559

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 ().