Bhathiya Rathnayake, Sijia Geng · Mar 03, 2026
The article proposes a nonlinear grid-forming controller that ensures voltage formation guarantees while enforcing safety-critical current limiting via a control barrier function (CBF)-based safety filter. The controller uses a droop-based inner-outer architecture and incorporates a deadzone-adapted disturbance suppression framework to robustify voltage regulation against grid voltage disturbances. Numerical results show improved transient performance and faster recovery during current-limiting events with the proposed controller compared to conventional PI-based control.
Why This Matters
This paper's development of a nonlinear grid-forming controller with provable voltage formation guarantees and safety-critical current limiting matters for power industry professionals, particularly in the context of renewable integration (e.g., wind or solar farms) where grid stability is increasingly challenged. The proposed control strategies can help utilities and grid operators ensure reliable and efficient transmission of renewable energy resources while maintaining grid resilience.
Liya Huang, Federico Milano, Georgios Tzounas · Mar 02, 2026
A paper explores power flow analysis through the Newton flow, a continuous-time formulation of Newton's method, incorporating quantized-state concepts to govern its evolution and improve robustness in ill-conditioned cases, particularly in adaptive step-size control. The approach shows enhanced performance in ill-conditioned cases compared to traditional methods. It is evaluated on the ACTIVSg70k synthetic test system.
Why This Matters
This paper's focus on adaptive step-size control and robustness in ill-conditioned power flow analysis matters for grid operators who need to efficiently manage power flows under uncertain conditions, such as those encountered with high levels of renewable integration or unexpected network disturbances. The proposed quantized-state approach can help enhance the reliability and stability of power grids.
Moh Kamalul Wafi, Milad Siami · Mar 02, 2026
A passivity-agnostic framework for distributed adaptive synchronization is presented, allowing for global asymptotic synchronization with guarantees even when the system is not strictly positive real. The framework recovers passivity in cases where it was absent and provides stability guarantees via standard passivity/Lyapunov arguments. Simulations demonstrate scalable synchronization performance across various graph topologies and disturbance profiles.
Why This Matters
This paper's focus on distributed adaptive synchronization under unknown leader dynamics and passivity-agnostic framework is relevant to power system engineers as it addresses the need for robust and scalable synchronization of heterogeneous second-order systems, such as those found in grid operations, particularly in scenarios with bounded disturbances and uncertain leader dynamics. The findings can be applied to improve the stability and resilience of power grids under various operating conditions.
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