ViT4LPA, a pre-trained Vision Transformer (ViT) model, can effectively leverage load images to perform various downstream load profile analysis tasks, including load identification and load disaggregation, with superior performance compared to conventional neural network models.
The core message of this article is to study the phase-amplitude multivariable stability issue in converter-based power systems from the perspective of complex-frequency synchronization. The authors propose the notion of complex-frequency synchronization, reveal the equivalence between the linear part of dispatchable virtual oscillator control (dVOC) and complex-power-frequency droop control, and provide novel insights into stability analysis methods and stability criteria.
The core message of this article is to formulate a bilevel optimization problem that minimizes the number of sensors needed to detect all possible violations of voltage magnitude limits in an electric distribution system.
An interpretable power system transient stability assessment method is proposed that combines expert knowledge, neural networks, and nonlinear regression trees to balance accuracy and interpretability.
SOStab is a Matlab toolbox that automates the computation of inner and outer approximations of the Region of Attraction (RoA) for nonlinear power system models, using Sum-of-Squares programming. It eliminates the need for users to have expertise in optimization, enabling practitioners to leverage advanced stability analysis techniques.
The largest initial RoCoF following a disturbance will occur at one of the generator buses in an interconnected power system, rather than at load buses. This finding enables the development of a convex and concise optimal nodal inertia dispatch method and a nodal inertia market mechanism.
Transmission-level faults can trigger significant tripping of distributed 3-phase and 1-phase inverter-based resources, leading to power imbalances and voltage quality issues. Tailored fault-ride-through mechanisms for 1-phase inverter-based resources may be necessary to mitigate these effects.