Virtual Inertia Control Strategies for Renewable Energy Integration

Since renewable energy sources (RES) are intermittent and use converters, bringing them onto power grids causes difficulties in maintaining power grid frequency and system inertia. A new control method is presented for virtual inertia in microgrids by using an optimized Fractional Order Proportional-Integral and Proportional-Derivative controller tuned with the Osprey Optimization Algorithm. Fixed-parameter PI/PID controllers are common, but the approach in this paper dynamically updates the power system parameters to manage fluctuations on the grid and increase both frequency response and system resilience. One converter links the BESS with the grid and a second VSG provides inertia characteristics required by the grid. The proposed method is shown to work well in simulation, limiting oscillations of frequency, cutting down on overshoot and providing stable power flow in any situation. Combining advanced optimization and hybrid control strategies in this work helps to reproduce inertia in renewable microgrids with low inertia.

Authors

Institutions

Publication Details

Published
2025-06-27
DOI
https://doi.org/10.1109/mac64480.2025.11140479
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Virtual Inertia Control Strategies for Renewable Energy Integration

Prashant J. Gaidhane, Mahboobeh Ansari
Smart Grid Energy Management
article

Virtual Inertia Control Strategies for Renewable Energy Integration

Prashant J. Gaidhane, Mahboobeh Ansari
article en

Abstract

Since renewable energy sources (RES) are intermittent and use converters, bringing them onto power grids causes difficulties in maintaining power grid frequency and system inertia. A new control method is presented for virtual inertia in microgrids by using an optimized Fractional Order Proportional-Integral and Proportional-Derivative controller tuned with the Osprey Optimization Algorithm. Fixed-parameter PI/PID controllers are common, but the approach in this paper dynamically updates the power system parameters to manage fluctuations on the grid and increase both frequency response and system resilience. One converter links the BESS with the grid and a second VSG provides inertia characteristics required by the grid. The proposed method is shown to work well in simulation, limiting oscillations of frequency, cutting down on overshoot and providing stable power flow in any situation. Combining advanced optimization and hybrid control strategies in this work helps to reproduce inertia in renewable microgrids with low inertia.

Government of Maharashtra (IN), Local Government Association (GB)
Openalex Percentile: Top 77%
Smart Grid Energy Management
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.

Virtual Inertia Control Strategies for Renewable Energy Integration — Prashant J. Gaidhane, Mahboobeh Ansari · (2025) | TGRS Research Map | TGRS