Introduces graph-to-image prediction of per-node dynamic stability landscapes in oscillator networks from topology, releases two 10k-graph datasets, and shows GNN-CNN models achieve good accuracy with cross-size generalization.
Decentralized
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
abstract
We propose a decentralized framework to analytically guarantee the small-signal stability of future power systems with grid-forming converters. Our approach leverages dynamic loop-shifting techniques to compensate for the lack of passivity in the network dynamics and establishes decentralized parametric stability certificates, depending on the local device-level controls and incorporating the effects of the network. By following practical tuning rules, we are able to ensure plug-and-play operation without centralized coordination. Unlike prior works, our approach accommodates coupled frequency and voltage dynamics, incorporates network dynamics, and does not rely on specific network configurations or operating points, offering a general and scalable solution for the integration of power-electronics-based devices into future power systems. We validate our theoretical stability results through numerical case studies in a high-fidelity simulation model.
verdicts
UNVERDICTED 4representative citing papers
A block diagonal dominance criterion is proposed for decentralized small-signal stability of IBR-dominated power grids that is less conservative than strict diagonal dominance and guarantees a minimum decay rate without restrictive model assumptions.
Introduces Forming Index for device-level GFM quantification and multi-bus voltage stiffness metric for system strength, with a formal proof that GFM converters improve strength.
Loop shaping transformations reformulate converter and network models to resolve non-sectoriality at low frequencies, extending mixed gain-phase conditions for decentralized stability certification of grid-forming converters.
citing papers explorer
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Learning Dynamic Stability Landscapes in Synchronization Networks
Introduces graph-to-image prediction of per-node dynamic stability landscapes in oscillator networks from topology, releases two 10k-graph datasets, and shows GNN-CNN models achieve good accuracy with cross-size generalization.
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Decentralized Stability of IBR-dominated Power Grids Using Block Diagonal Dominance
A block diagonal dominance criterion is proposed for decentralized small-signal stability of IBR-dominated power grids that is less conservative than strict diagonal dominance and guarantees a minimum decay rate without restrictive model assumptions.