New algorithm optimizes virtual inertia for stable renewable grids
Replacing synchronous generators with renewables causes frequency instability — this fix allocates virtual inertia dynamically.
Deep Dive
A new dynamic optimization algorithm, proposed by researchers Jovan Krajacic, Maitraya Avadhut Desai, Ognjen Stanojev, and Gabriela Hug, optimally allocates virtual inertia and damping in converter-based power systems. The algorithm accounts for stability, cost-efficiency, resilience, and disturbance magnitude and location. It was validated on a three‑area system and compared with an H₂ system‑norm‑based allocation approach.
Key Points
- Proposes dynamic optimization of virtual inertia and damping allocation considering disturbance magnitude and location
- Validated on a three-area test system and compared against H2 system-norm approach
- Enables higher penetration of converter-interfaced renewables without compromising frequency stability
Why It Matters
Stable grids with high renewables — virtual inertia optimization cuts the need for fossil fuel backups.