Investigating the capabilities of virtual synchronous machines to provide instantaneous reserve in a laboratory environment

The increasing integration of renewable energy sources poses significant challenges to grid stability due to reduced system inertia traditionally provided by synchronous generators. This study evaluates the performance of grid-forming (GFM) and grid-following (GFL) inverter control strategies in providing virtual inertia to stabilize frequency in distribution networks. A Virtual Synchronous Machine (VSM) is benchmarked against GFM and GFL droop controls using laboratory experiments that simulate frequency and load disturbances. The results demonstrate that GFM strategies, particularly the VSM, deliver rapid active power responses, outperforming the delayed dynamics of GFL controls. The VSM's ability to emulate inertia significantly mitigates frequency nadirs and stabilizes the grid during transient events. Transfer function analysis highlights the second-order dynamics of the VSM, revealing that parameters such as inertia constant and static gain critically influence transient and steady-state performance. Larger inertia constants enhance frequency stabilization but introduce overshoot and oscillations, requiring precise parameter tuning to achieve a balance between stability and responsiveness. The findings emphasize the potential of GFM controls, especially VSM, in enhancing grid stability in low-inertia, renewable-heavy networks. Future research aims to explore coordinated multi-inverter control frameworks to further optimize grid-wide stability and resilience.

Authors

Institutions

Publication Details

Journal
IET conference proceedings.
Published
2025-10-14
DOI
https://doi.org/10.1049/icp.2025.1740
Primary Topic
Experimental Learning in Engineering
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigating the capabilities of virtual synchronous machines to provide instantaneous reserve in a laboratory environment

Alexander Winkens, Mahmood Kharrat, Andreas Ulbig, Irina Zettl et al.
IET conference proceedings.
Experimental Learning in Engineering
article

Investigating the capabilities of virtual synchronous machines to provide instantaneous reserve in a laboratory environment

Alexander Winkens, Mahmood Kharrat, Andreas Ulbig, Irina Zettl, Alexander Och
article en

Abstract

The increasing integration of renewable energy sources poses significant challenges to grid stability due to reduced system inertia traditionally provided by synchronous generators. This study evaluates the performance of grid-forming (GFM) and grid-following (GFL) inverter control strategies in providing virtual inertia to stabilize frequency in distribution networks. A Virtual Synchronous Machine (VSM) is benchmarked against GFM and GFL droop controls using laboratory experiments that simulate frequency and load disturbances. The results demonstrate that GFM strategies, particularly the VSM, deliver rapid active power responses, outperforming the delayed dynamics of GFL controls. The VSM's ability to emulate inertia significantly mitigates frequency nadirs and stabilizes the grid during transient events. Transfer function analysis highlights the second-order dynamics of the VSM, revealing that parameters such as inertia constant and static gain critically influence transient and steady-state performance. Larger inertia constants enhance frequency stabilization but introduce overshoot and oscillations, requiring precise parameter tuning to achieve a balance between stability and responsiveness. The findings emphasize the potential of GFM controls, especially VSM, in enhancing grid stability in low-inertia, renewable-heavy networks. Future research aims to explore coordinated multi-inverter control frameworks to further optimize grid-wide stability and resilience.

IET conference proceedings.Vol. 2025(14)
RWTH Aachen University (DE)
Openalex Percentile: Top 58%
Experimental Learning in Engineering
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.