Dynamic Passivity Multipliers for Plug-and-Play Stability Certificates of Converter-Dominated Grids
Andrey Gorbunov, Youhong Chen, Petr Vorobev, Jin Ma, Gregor Verbic

TL;DR
This paper introduces a dynamic, frequency-dependent passivity multiplier that enhances plug-and-play stability certification for inverter-based power systems, allowing local stability verification without controller modifications.
Contribution
It develops a novel dynamic passivity multiplier that enables decentralized, model-agnostic stability certification for inverter-dominated grids, expanding the stability region.
Findings
Enlarges the certified stability region significantly.
Enables local stability verification without controller modifications.
Validates the approach with practical droop gains.
Abstract
Ensuring small-signal stability in power systems with a high share of inverter-based resources (IBRs) is hampered by two factors: (i) device and network parameters are often uncertain or completely unknown, and (ii) brute-force enumeration of all topologies is computationally intractable. These challenges motivate plug-and-play (PnP) certificates that verify stability locally yet hold globally. Passivity is an attractive property because it guarantees stability under feedback and network interconnections; however, strict passivity rarely holds for practical controllers such as Grid Forming Inverters (GFMs) employing P-Q droop. This paper extends the passivity condition by constructing a dynamic, frequency-dependent multiplier that enables PnP stability certification of each component based solely on its admittance, without requiring any modification to the controller design. The…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMicrogrid Control and Optimization · Power System Optimization and Stability · Control and Stability of Dynamical Systems
