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arxiveess.SY2026-07-08

Quantifying Implicit Overload Mandates in Phase Jump Requirements for Grid Forming Inverters

M A Awal, Rahul Chakraborty, David Michaud, Mikko Qvintus, Devin Dilley

Grid codes increasingly require grid-forming (GFM) inverters to demonstrate prescribed active-power response to phase-angle jumps at the point of interconnection (POI). This paper shows that such requirements embed an implicit current-overload mandate whose severity depends on the test parameters but is nowhere made explicit in the specifications. First, an analytic expression for the instantaneous power is derived at an arbitrary measurement point, establishing that a momentary power excursion in the non-opposing direction is an inevitable physical consequence of the phase jump itself, independent of control action. Second, the phase-jump recovery is formulated as a constrained optimal control problem with the characteristic GFM objective of minimizing terminal voltage deviation from the pre-disturbance value while subject to a hard current limit. As the plant dynamics are linear and the constraints are convex, the solution constitutes a controller-architecture-independent physical bound on the achievable power-recovery trajectory. Sweeping the current limit, the phase-jump acceptance criterion is converted into an equivalent minimum overload ratio, making the implicit hardware mandate quantitative. The bound is validated against three WECC generic GFM inverter models (REGFM_A1, B1, C1) in electromagnetic transient simulations, confirming both validity and tightness of the bound. Recommendations are offered for interpreting compliance test results and for structuring test specifications to distinguish physical hardware limitations from control deficiencies.

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arxiveess.SY2026-07-10

Structural Decoupling and Current-Angle Steering for Post-Fault Recovery of Current-Limited Grid-Forming Inverters

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arxiveess.SY2026-07-18

Cluster-Based Distributed Small-Signal Stability Certificates for Grid-Forming Inverter Networks

Bhathiya Rathnayake, Sijia Geng

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arxiveess.SYcs.AI2026-07-19

A Phased Development Framework Enabling Islanded Operation of Sustainable AI Data Centers With Onsite Grid-Following and Grid-Forming Energy Architectures

Soham Ghosh, Nabil Mohammed, Mohammad Ashraf Hossain Sadi

As hyperscale and colocation AI data centers continue to expand, the electric grid is increasingly required to support large, concentrated loads, with individual facilities ranging from 500 MW to 2 GW. Current projections estimate that approximately 50 GW of AI data center capaci…

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arxiveess.SY2026-07-09

A graph theoretic view on small signal stability of inverter-based power grids

Iva Bačić, Jakob Niehues, Philipp C. Böttcher, Cai Dieball, Leonardo Rydin Gorjão, Andrea Benigni, et al.

Dynamic grid stability is traditionally ensured with synchronous generators. Modern grids rely substantially more on inverter-based resources, which require grid-forming control to guarantee adequate system-wide synchronization and stability. Small-signal stability has granted va…

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arxiveess.SY2026-07-14

Stability Analysis of Grid-Following and Grid-Forming Converters Connected to Generators

Alessandra Casiraghi, Marzio Barresi, Samuele Grillo

This work presents an examination of the main interactions between grid-following (GFL) and grid-forming (GFM) voltage source converters (VSCs) and synchronous generators (SGs), capturing the dynamics of a real power grid and pointing out the limitations of considering an ideal o…

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