KIT | KIT-Bibliothek | Impressum | Datenschutz

Load Sensitivity-Based Adaptive Control Strategy for Grid-Supportive Loads in DC Microgrids

Courcelle, Maëva ORCID iD icon 1; Ekin, Ömer ORCID iD icon 2; De Carne, Giovanni ORCID iD icon 1; Hagenmeyer, Veit ORCID iD icon 2
1 Institut für Technische Physik (ITEP), Karlsruher Institut für Technologie (KIT)
2 Institut für Automation und angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

The increasing integration of renewable energy sources and the corresponding demand for system flexibility have emphasized the role of Grid-Supportive Loads (GSL) in stabilizing electrical networks. This paper proposes a novel control strategy for GSL in DC microgrids, leveraging the real-time sensitivity to voltage of loads as a dynamic control parameter. In contrast to conventional approaches with fixed tuning, the proposed method enables accurate and adaptive power curtailment in response to prevailing operating conditions. Simulation results in a representative DC microgrid confirm that the strategy ensures predictable, coordinated, and load composition-independent voltage support. Furthermore, the paper compares the conventional voltage-based GSL control with the new power-based approach, highlighting the improved controllability and enhanced ancillary services achieved through the use of load sensitivity.


Originalveröffentlichung
DOI: 10.1109/eGRID63452.2025.11255307
Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Institut für Technische Physik (ITEP)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 30.09.2025
Sprache Englisch
Identifikator ISBN: 979-8-3315-9365-0
ISSN: 2831-364X
KITopen-ID: 1000187581
HGF-Programm 37.12.03 (POF IV, LK 01) Smart Areas and Research Platforms
Erschienen in 2025 10th IEEE Workshop on the Electronic Grid (eGRID)
Veranstaltung 10th IEEE Workshop on the Electronic Grid (eGrid 2025), Glasgow, Vereinigtes Königreich, 30.09.2025 – 02.10.2025
Verlag Institute of Electrical and Electronics Engineers (IEEE)
Seiten 1–6
Projektinformation HGF, HGF IVF2016 TALENT, VH-NG-1613
Nachgewiesen in Dimensions
OpenAlex
KIT – Die Universität in der Helmholtz-Gemeinschaft
KITopen Landing Page